حدث خطأ. التفاصيل إخفاء
لديك صفحات غير محفوظة. استعادة إلغاء

الصين

  • الرئيس:Xi Jinping
  • رئيس الوزراء:Li Keqiang
  • العاصمة:Beijing
  • اللغات:Standard Chinese or Mandarin (official; Putonghua, based on the Beijing dialect), Yue (Cantonese), Wu (Shanghainese), Minbei (Fuzhou), Minnan (Hokkien-Taiwanese), Xiang, Gan, Hakka dialects, minority languages (see Ethnic groups entry) note: Zhuang is official in Guangxi Zhuang, Yue is official in Guangdong, Mongolian is official in Nei Mongol, Uighur is official in Xinjiang Uygur, Kyrgyz is official in Xinjiang Uygur, and Tibetan is official in Xizang (Tibet)
  • الحكومة
  • مكتب الإحصائيات القومي
  • السكان والأشخاص:1,392,730,000 (2018)
  • المساحة ، كم مربع:9,388,210
  • الناتج المحلي الإجمالي للفرد ، بالدولار الأمريكي:9,771 (2018)
  • الناتج المحلي الإجمالي ، مليار دولار أمريكي حالي:13,608.2 (2018)
  • مؤشر GINI:No data
  • تصنيف سهولة ممارسة الأعمال:46

Revisions

All datasets:  2 A B C D E F G H I J K L M N O P Q R S T U V W Y إ ا
  • 2
    • حزيران 2016
      المصدر: Deloitte
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 حزيران, 2016
      تحديد مجموعة بيانات
      With the release of the 2016 Global Manufacturing Competitiveness Index (GMCI), Deloitte Touche Tohmatsu Limited (Deloitte Global) and the Council on Competitiveness (the Council) in the US build upon the GMCI research, with prior studies published in 2010 and 2013. The results of the 2016 study clearly show the ongoing influence manufacturing has on driving global economies. From its influence on infrastructure development, job creation, and contribution to gross domestic product (GDP) on both an overall and per capita basis, a strong manufacturing sector creates a clear path toward economic prosperity.
    • حزيران 2017
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      This dataset and predefined summary tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2017, which monitors agricultural policy developments in 35 OECD member countries, 6 non-OECD EU member states and 11 emerging economies: Brazil, China, Colombia, Costa Rica, Indonesia, Kazakhstan, Russia, the Philippines, South Africa, Ukraine and Viet Nam. The OECD uses a comprehensive system for measuring and classifying support to agriculture - the Producer and Consumer Support Estimates (PSEs and CSEs) and related indicators. They provide insight into the increasingly complex nature of agricultural policy and serve as a basis for OECD’s work on agricultural policies. 
  • A
    • كانون الأول 2018
      المصدر: U.S. Energy Information Administration
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 كانون الأول, 2018
      تحديد مجموعة بيانات
      World Electricity access database Hundreds of millions of people have gained access to modern energy over the last two decades, especially in China and India. Rapid economic development in several developing countries, increasing urbanisation and ongoing energy access programmes have been important factors in this achievement. The IEA Access to Energy database provides a snapshot of progress made toward meeting the ultimate goal of universal access. Note: For indicator population without access, value 1 represent <1 except Botswana, Guatemala countries
    • تموز 2016
      المصدر: Knoema
      تم التحميل بواسطة: Knoema
      تحديد مجموعة بيانات
      Accuracy of annual economic forecasts of international organisations - European Commission, IMF, OECD, World Bank, UN LINK
    • نيسان 2019
      المصدر: Agricultural Market Information System
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 أيار, 2019
      تحديد مجموعة بيانات
      Data Source - CBS Notes: Financial Year 2016/17, 2017/18, 2018/19 have been considered as 2017, 2018, 2019 respectively
    • نيسان 2019
      المصدر: Agricultural Market Information System
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 أيار, 2019
      تحديد مجموعة بيانات
      Notes: Financial Years 2016/17, 2017/18, 2018/19 have been considered as 2017, 2018, 2019 respectively. Data Source - IGS
    • نيسان 2019
      المصدر: Agricultural Market Information System
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيار, 2019
      تحديد مجموعة بيانات
      Data Source - PSD Notes: Financial Year 2016/17, 2017/18, 2018/19 have been considered as 2017, 2018, 2019 respectively.
    • تشرين الثاني 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2014The data describe the average use of chemical and mineral fertilizers per area of cropland (arable land and permanent crops) at national, regional, and global level in a time series from 2002 to 2015
    • أيلول 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Agri-environmental Indicators—Land domain provides information on the annual evolution of the distribution of agricultural and forest areas, and their sub-components, including irrigated areas, at national, regional and global levels.
    • نيسان 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 آب, 2019
      تحديد مجموعة بيانات
      The Livestock Patterns domain of the FAOSTAT Agri-Environmental Indicators contains data on livestock numbers, shares of major livestock species and livestock densities in the agricultural area. Values are calculated using Livestock Units (LSU), which facilitate aggregating information for different livestock types. Data are available by country, with global coverage, for the period 1961–2014. This methodology applies the LSU coefficients reported in the "Guidelines for the preparation of livestock sector reviews" (FAO, 2011). From this publication, LSU coefficients are computed by livestock type and by country. The reference unit used for the calculation of livestock units (=1 LSU) is the grazing equivalent of one adult dairy cow producing 3000 kg of milk annually, fed without additional concentrated foodstuffs. FAOSTAT agri-environmental indicators on livestock patterns closely follow the structure of the indicators in EUROSTAT.
    • كانون الأول 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 آب, 2019
      تحديد مجموعة بيانات
      The data describe the average use of pesticides per area of cropland (arable land and permanent crops) at national level in a time series from 1990 to 2014. 
    • أيار 2013
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The gross nutrient balances (N and P) are calculated as the difference between the total quantity of nutrient inputs entering an agricultural system (mainly fertilizers, livestock manure), and the quantity of nutrient outputs leaving the system (mainly uptake of nutrients by crops and grassland). Gross nutrient balances are expressed in tonnes of nutrient surplus (when positive) or deficit (when negative). This calculation can be used as a proxy to reveal the status of environmental pressures, such as declining soil fertility in the case of a nutrient deficit, or for a nutrient surplus the risk of polluting soil, water and air. The nutrient balance indicator is also expressed in terms of kilogrammes of nutrient surplus per hectare of agricultural land to facilitate the comparison of the relative intensity of nutrients in agricultural systems between countries.
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 نيسان, 2019
      تحديد مجموعة بيانات
      commitment is a firm written obligation by a government or official agency, backed by the appropriation or availability of the necessary funds, to provide resources of a specified amount under specified financial terms and conditions and for specified purposes for the benefit of a recipient country or a multilateral agency. Members unable to comply with this definition should explain the definition that they use. -- Commitments are considered to be made at the date a loan or grant agreement is signed or the obligation is otherwise made known to the recipient (e.g. in the case of budgetary allocations to overseas territories, the final vote of the budget should be taken as the date of commitment). For certain special expenditures, e.g. emergency aid, the date of disbursement may be taken as the date of commitment. -- Bilateral commitments comprise new commitments and additions to earlier commitments, excluding any commitments cancelled during the same year. Cancellations and reductions in the year reported on of commitments made in earlier years are reported in the CRS, but not in the DAC questionnaire. -- In contrast to bilateral commitments, commitments of capital subscriptions, grants and loans to multilateral agencies should show the sum of amounts which are expected to be disbursed before the end of the next year and amounts disbursed in the year reported on but not previously reported as a commitment. For capital subscriptions in the form of notes payable at sight, enter the expected amount of deposits of such notes as the amount committed.
    • حزيران 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 حزيران, 2019
      تحديد مجموعة بيانات
      The OECD's ANalytical Business Enterprise Research and Development (ANBERD) database presents annual data on Research and Development (R&D) expenditures by industry and was developed to provide analysts with comprehensive data on business R&D expenditures. The ANBERD database incorporates a number of estimations that build upon and extend national submissions of business enterprise R&D data by industry (main activity/industry orientation). The current version of the ANBERD database presents OECD countries' and selected non-member economies' business expenditure on R&D since 1987, broken down across 100 manufacturing and service industry groups. The reported data follow the International Standard Industrial Classification, Revision 4 (ISIC Rev. 4) and are expressed in national currencies as well as in US dollars at Purchasing Power Parity (PPP), both at current and constant prices.   Main activity and industry orientation: The 2015 Frascati Manual practice is to report BERD on an enterprise basis. The main economic activity of an enterprise is usually defined as that which accounts for most of its economic outputs; this may be identified directly from sales or indirectly proxied (such as by numbers of personnel devoted to different activities). This determines the industry in which the enterprise, and any BERD it carries out, is classified. As such, all BERD of a diversified enterprise (i.e. one with multiple lines of business) is allocated to the same industry, that of its main activity. This enables, as far as possible, the alignment and compatability of BERD data with other economic statistics (e.g. value added broken down by industry). In addition, the Frascati Manual also recommends reporting BERD by industry orientation, whereby the statistical unit’s R&D is distributed across the various lines of business to which it relates. In a few countries, hybrid approaches are followed and reported as main activity data. As an example, some countries primarily follow the main activity approach but redistribute the R&D of large diversified firms across the economic activities to which it relates. This can affect interpretation of the data and resulting statistics. There are also important differences between countries in the treatment of R&D undertaken by firms in the service sector but closely associated (though not necessarily contractually) with manufacturing firms. Industrial research institutes, largely funded by the manufacturing industries they serve, are the most frequent examples. With the implementation of the 2015 Frascati Manual, such hybrid data will be phased out in favour of a strict main activity approach. Countries still reporting hybrid data are flagged in the ANBERD country notes.
    • حزيران 2017
      المصدر: International Tropical Timber Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 تموز, 2017
      تحديد مجموعة بيانات
      ITTO's Annual Review and Assessment of the World Timber Situation compiles the most up-to-date and reliable international statistics available on global production and trade of timber, with an emphasis on the tropics. It also provides information on trends in forest area, forest management and the economies of ITTO member countries. Data cited at: ITTO Biennial review statistics: https://www.itto.int/biennal_review/
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
      Data source used: The aquaculture production data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies. Data on marine landings, aquaculture production, inland fisheries catch, fleet, employment, total allowable catch (TAC) and fisheries support estimate (FSE) are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The surveys used for this exercise are the OECD Fisheries questionnaires.
    • أيلول 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 أيلول, 2019
      تحديد مجموعة بيانات
      AQUASTAT is FAO's global information system on water and agriculture, developed by the Land and Water Division. The main mandate of the program is to collect, analyze and disseminate information on water resources, water uses, and agricultural water management with an emphasis on countries in Africa, Asia, Latin America and the Caribbean. This allows interested users to find comprehensive and regularly updated information at global, regional, and national levels.
    • تشرين الأول 2014
      المصدر: Actionable Governance Indicators Data Portal
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 تشرين الأول, 2015
      تحديد مجموعة بيانات
    • كانون الأول 2017
      المصدر: The General Aviation Manufacturers Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 أيار, 2018
      تحديد مجموعة بيانات
      The data does not differentiate if airplane is used for GA or commercial operations. In 2006, the CAA stopped publishing the number of registered aircraft by weight in favor of classes.In 2012, the CAA began publishing aircraft registry statistics by aircraft class.
    • أيلول 2019
      المصدر: LMC Automotive
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Note: Values for the variables under the parent "LMCA European Monthly Sales Report" and "LMCA Global Monthly Sales Report" are getting updated every month. 2019 annual data is Year-to-Date value.
  • B
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The balance of payments is a statistical statement that provides a systematic summary of economic transactions of an economy with the rest of the world, for a specific time period. The transactions are for the most part between residents and non-residents of the economy. A transaction is defined as an economic flow that reflects the creation, transformation, exchange, transfer, or extinction of economic value and involves changes in ownership, of goods or assets, the provision of services, labour or capital.  This dataset presents countries compiling balance of payments statistics in accordance with the 6th edition of the Balance of Payments and International Investment Position Manual published by the IMF (BPM6). Transactions include: the goods and services accounts, the primary income account (income account in BPM5), the secondary income account (transfers in BPM5), the capital account, and the financial account. Changes in BPM6 compared to BPM5 are often a consequence of a stricter application of the change of ownership principle in particular in the goods and services accounts. They relate to transactions on goods and services (merchanting, goods for processing, Insurance), income (investment income), and financial operations (direct investment) .
    • كانون الأول 2017
      المصدر: Department of Statistics, Malaysia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 شباط, 2018
      تحديد مجموعة بيانات
      Annual statistics of Malaysia's balance of payment as time series 1947 - 2017.
    • أيار 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 أيار, 2019
      تحديد مجموعة بيانات
      BOPSY Global Tables aggregate country data by major balance of payments components and by international investment position (IIP) data for (i) Net IIP and (ii) Total Assets and Total Liabilities. Data for countries, country groups, and the world are provided. In addition to data reported by countries as shown in BOPSY, balance of payments data are provided for international organizations in BOPSY Global Tables. The BOPSY Global Tables include, in addition to reported data, data derived in a few instances indirectly from published sources.
    • نيسان 2018
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      This data set provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources
    • تشرين الأول 2019
      المصدر: United Nations COMTRADE
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Both ethanol and biodiesel are classified under the HS-6 digit categories that also contain other products. Biodiesel is an industrial product (as it is produced through a chemical process called transesterification) and classified under HS code 382490 - products, preparations and residual products of the chemical or allied industries not elsewhere specified. Ethanol is classified as an agriculture product under HS code 2207, which covers un-denatured (HS 2207 10) and denatured alcohol (HS 2207 20).
    • نيسان 2017
      المصدر: Bloom Consulting
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيار, 2017
      تحديد مجموعة بيانات
      Bloom Consulting was founded in 2003 as a Nation Branding consultancy. Our Headquarters are located in Madrid, with offices in Lisbon and São Paulo. Bloom Consulting has been interviewed by The Economist, Forbes and CNN . According to Country Branding Central www.countrybrandingwiki.org, our CEO José Filipe Torres, a recurrent lecturer in Universities such as Harvard, is considered one of the top 3 international experts in the field of Nation Branding, Region and City Branding, providing advisory for the OECD. In addition, Bloom Consulting publishes the Bloom Consulting Country Brand Ranking © annually for both Trade and Tourism, to extensively analyze the brand performance of 193 countries and territories worldwide and the Digital Country Index - Measuring the Brand appeal of countries and territories in the Digital World.
    • شباط 2019
      المصدر: BP
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 شباط, 2019
      تحديد مجموعة بيانات
      The Energy Outlook explores the forces shaping the global energy transition out to 2040 and the key uncertainties surrounding that transition. The Outlook considers a number of different scenarios. These scenarios are not predictions of what is likely to happen or what BP would like to happen. Rather, they explore the possible implications of different judgments and assumptions by considering a series of “what if” experiments. The scenarios consider only a tiny sub-set of the uncertainty surrounding energy markets out to 2040; they do not provide a comprehensive description of all possible future outcomes. For ease of explanation, much of the Outlook is described with reference to the ‘Evolving Transition’ scenario. But that does not imply that the probability of this scenario is higher than the others. Indeed, the multitude of uncertainties means the probability of any one of these scenarios materializing exactly as described is negligible. The Energy Outlook is produced to aid BP’s analysis and decision-making, and is published as a contribution to the wider debate. But the Outlook is only one source among many when considering the future of global energy markets. BP considers the scenarios in the Outlook, together with a range of other analysis and information, when forming its long-term strategy.
    • حزيران 2019
      المصدر: BP
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 حزيران, 2019
      تحديد مجموعة بيانات
      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections.
    • حزيران 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 آب, 2018
      تحديد مجموعة بيانات
    • أيار 2017
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 حزيران, 2017
      تحديد مجموعة بيانات
    • آذار 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 آذار, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Jobs Publication: https://datacatalog.worldbank.org/dataset/jobs License: http://creativecommons.org/licenses/by/4.0/   The World Bank Jobs Statistics Over 150 indicators on labor-related topics, covering over 200 economies from 1990 to present.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The business tendency survey indicators cover a standard set of indicators for four economic sectors: manufacturing, construction, retail trade and other services. This includes an indicator of overall business conditions or business confidence in each sector. The consumer opinion survey indicators cover a restricted set of indicators on consumer confidence, expected economic situation and price expectations.   Business and consumer opinion (tendency) surveys provide qualitative information that has proved useful for monitoring the current economic situation. Typically they are based on a sample of enterprises or households and respondents are asked about their assessments of the current situation and expectations for the immediate future. For enterprise surveys this concerns topics such as production, orders, stocks etc. and in the case of consumer surveys their intentions concerning major purposes, economic situation now compared with the recent past and expectations for the immediate future. Many survey series provide advance warning of turning points in aggregate economic activity as measured by GDP or industrial production. Such series are known as leading indicators in cyclical analysis. These types of survey series are widely used as component series in composite leading indicators.   The main characteristic of these types of surveys is that instead of asking for exact figures, they usually ask for the direction of change e.g. a question on tendency by reference to a “normal” state, e.g. of production level. Possible answers are generally of the three point scale type e.g. up/same/down or above normal/normal/below normal for enterprise surveys and of the five point scale type e.g. increase sharply/increase slightly/remain the same/fall slightly/fall sharply for consumer surveys. In presenting the results as a time series, only the balance is shown. That is “same” or “normal” answers are ignored and the balance is obtained by taking the difference between percentages of respondents giving favourable and unfavourable answers.   Virtually all business tendency and consumer opinion survey data are presented as time series of balances in this dataset, either in raw or seasonally adjusted form. Very few series are presented as indices, and where these exist they have generally been converted from underlying balances by countries before submitting the data to the OECD.
  • C
    • كانون الأول 2018
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 كانون الثاني, 2019
      تحديد مجموعة بيانات
      Data cited: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2016 (GBD 2016) Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years 1990-2016. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for 29 cancer groups by age and sex for 1990-2016 are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in June 2018 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 29 Cancer Groups, 1990 to 2016."
    • أيلول 2019
      المصدر: National Bureau of Statistics, Nigeria
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 أيلول, 2019
      تحديد مجموعة بيانات
      Capital Importation into Nigeria
    • آذار 2019
      المصدر: International Organization of Motor Vehicle Manufacturers
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 نيسان, 2019
      تحديد مجموعة بيانات
      OICA Car Production Statistics 1999-2018 contains world motor vehicle production statistics, obtained from national trade organisations, OICA members or correspondents. Passenger cars are motor vehicles with at least four wheels, used for the transport of passengers, and comprising no more than eight seats in addition to the driver's seat. Commercial vehicles include light commercial vehicles, heavy trucks, coaches and buses.
    • أيار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 أيار, 2019
      تحديد مجموعة بيانات
      Indicators in the OECD database on Carbon dioxide (CO2) emissions embodied in international trade are derived by combining the 2015 version of OECD's Inter-Country Input-Output (ICIO) Database with International Energy Agency (IEA) statistics on CO2 emissions from fuel combustion. Production-based CO2 emissions are estimated by allocating the IEA CO2 emissions to the 34 target industries in OECD ICIO and, to final demand for fuels, by both residents and non-residents. Consumption-based CO2 emissions are calculated by multiplying the intensities of the production-based emissions (c) with the global Leontief inverse (I-A)(-1) and global final demand matrix (Y) from OECD ICIO, taking the column sums of the resulting matrix and adding residential and private road emissions (FNLC), i.e. direct emissions from final demand: colsum [ diag(c) (I-A)(-1) Y ] + FNLC. The ICIO system includes discrepancies in the trade data (referred to as DISC). Emissions allocated to DISC are made explicit (e.g. in indicator FD_CO2). This ensures that global CO2 production equals global CO2 consumption.
    • آذار 2019
      المصدر: Japanese Shipowners' Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 أيار, 2019
      تحديد مجموعة بيانات
      Japan: Shipping Statistics Handbook, Harbour
    • تشرين الثاني 2015
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيلول, 2016
      تحديد مجموعة بيانات
      Catches of fish, crustaceans, molluscs and other aquatic organisms by species and fishing area for EU and associated countries (in live weight equivalent of the landings).
    • تشرين الثاني 2018
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 كانون الأول, 2018
      تحديد مجموعة بيانات
      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.
    • آب 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
    • تشرين الأول 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • تشرين الأول 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • تشرين الأول 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تموز, 2019
      تحديد مجموعة بيانات
    • أيلول 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيلول, 2019
      تحديد مجموعة بيانات
      For relevant topic data, please refer: For latest data, please refer: Legal Entities by Three Strata of IndustryChina: General Survey, Number of Legal Entities by Three Strata of Industry https://knoema.com/NBSCN_A_A010301China: Employment and Wages - Number of Employed Persons by Three Strata of Industry https://knoema.com/NBSCN_A_A0402 Province Data China Province Data: Employment and Wages - Number of Employed Persons in Urban Units by Sector https://knoema.com/NBSCN_P_A_A0401China Province Data: Employment and Wages - Number of Engaged Persons in Private Enterprises and Self-employed Individuals by Sector https://knoema.com/NBSCN_P_A_A0402China Province Data: Employment and Wages - Number of Engaged Persons in Urban Private Enterprises and Self-employed Individuals by Sector https://knoema.com/NBSCN_P_A_A0403 Self-employed Individuals by Sector China: Employment and Wages - Number of Self-employed Individuals https://knoema.com/NBSCN_A_A040DChina Province Data: Employment and Wages - Number of Self-employed Individuals https://knoema.com/NBSCN_P_A_A0405China: Employment and Wages - Number of Engaged Persons in Private Enterprises and Self-employed Individuals by Sector https://knoema.com/NBSCN_A_A040AChina Province Data: Employment and Wages - Number of Engaged Persons in Private Enterprises and Self-employed Individuals by Sector https://knoema.com/NBSCN_P_A_A0402China: Employment and Wages - Number of Engaged Persons in Urban Private Enterprises and Self-employed Individuals by Sector https://knoema.com/NBSCN_A_A040BChina Province Data: Employment and Wages - Number of Engaged Persons in Urban Private Enterprises and Self-employed Individuals by Sector https://knoema.com/NBSCN_P_A_A040
    • آب 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      For National data, please refer: China: Industry - Output of Industrial Products https://knoema.com/NBSCN_A_A0E0H
    • آب 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      For other relevant topic data, please refer below: National DataChina: Investment in Fixed Assets and Real Estate Development - Value and Floor Space of Buildings under Construction and Buildings Completed (Excluding Rural Households) https://knoema.com/NBSCN_A_A0514China: Investment in Fixed Assets and Real Estate Development - Number of Flats of Residential Buildings Completed and Sold by Enterprises for Real Estate Development https://knoema.com/NBSCN_A_A051PChina: Investment in Fixed Assets and Real Estate Development - Number of Flats of Residential Buildings Completed and Sold by Enterprises for Real Estate Development - https://knoema.com/NBSCN_A_A051 Province DataChina Province Data: Investment in Fixed Assets and Real Estate - Value and Floor Space of Buildings under Construction and Buildings Completed (Excluding Rural Households) https://knoema.com/NBSCN_P_A_A050FChina Province Data: Investment in Fixed Assets and Real Estate - Number of Flats of Residential Buildings Completed and Sold by Enterprises for Real Estate Development https://knoema.com/NBSCN_P_A_A051QChina Province Data: Investment in Fixed Assets and Real Estate - Number of Flats of Residential Buildings Completed and Sold by Enterprises for Real Estate Developmenthttps://knoema.com/NBSCN_P_A_A051
    • كانون الثاني 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 كانون الثاني, 2019
      تحديد مجموعة بيانات
      For latest and relevant topic data, please refer below:   Legal Entities by Three Strata of IndustryChina: Investment in Fixed Assets and Real Estate Development - Total Investment in Fixed Assets in the Whole Country https://knoema.com/NBSCN_A_A0501 Three Strata of IndustryChina: Investment in Fixed Assets by Primary Industry https://knoema.com/NBSCN_M_A040401China: Investment in Fixed Assets by Secondary Industry https://knoema.com/NBSCN_M_A040402China: Investment in Fixed Assets by Tertiary Industry https://knoema.com/NBSCN_M_A040403   Investment in Fixed AssetsChina: Investment in Fixed Assets and Real Estate Development - Investment in Fixed Assets (Excluding Rural Households), State Budget https://knoema.com/NBSCN_A_A050VChina: Investment in Fixed Assets and Real Estate Development - Investment in Fixed Assets (Excluding Rural Households), Domestic Loans https://knoema.com/NBSCN_A_A050WChina: Investment in Fixed Assets and Real Estate Development - Investment in Fixed Assets (Excluding Rural Households), Foreign Investment https://knoema.com/NBSCN_A_A050XChina: Investment in Fixed Assets and Real Estate Development - Investment in Fixed Assets (Excluding Rural Households), Self-raising Funds https://knoema.com/NBSCN_A_A050YChina: Investment in Fixed Assets and Real Estate Development - Investment in Fixed Assets (Excluding Rural Households), Others https://knoema.com/NBSCN_A_A050Z Floor Space of BuildingsChina: Investment in Fixed Assets and Real Estate Development - Value and Floor Space of Buildings under Construction and Completed in the Whole Country https://knoema.com/NBSCN_A_A0507
    • تموز 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تموز, 2019
      تحديد مجموعة بيانات
    • آب 2019
      المصدر: National Bureau of Statistics, China
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      For relevant topic data, please refer below: National DataChina: Tourism - Development of Tourism https://knoema.com/NBSCN_A_A0K01China: Tourism - Domestic Tourism https://knoema.com/NBSCN_A_A0K02 Province DataChina Province Data: Tourism - Foreign Exchange Earnings from International Tourism and Composition https://knoema.com/NBSCN_P_A_A0K01China Province Data: Tourism - Number of Oversea Visitor Arrivals https://knoema.com/NBSCN_P_A_A0K0
    • آب 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 آب, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: End Coal
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 أيلول, 2019
      تحديد مجموعة بيانات
      Data cited at: End Coal https://endcoal.org/ Topic: Coal Plants by country Publication URL: https://endcoal.org/global-coal-plant-tracker/summary-statistics/ License: https://creativecommons.org/licenses/by-nc/4.0/
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      Statistical population: CLIs are calculated for 33 OECD countries (Iceland is not included), 6 non-member economies and 8 zone aggregates. A country CLI comprises a set of component series selected from a wide range of key short-term economic indicators.   CLIs, reference series data (see below) and standardised business and consumer confidence indicators are presented in various forms.   Recommended uses and limitations: The composite leading indicator is a times series, formed by aggregating a variety of component indicators which show a reasonably consistent relationship with a reference series (e.g. industrial production IIP up to March 2012 and since then the reference series is GDP) at turning points. The OECD CLI is designed to provide qualitative information on short-term economic movements, especially at the turning points, rather than quantitative measures. Therefore, the main message of CLI movements over time is the increase or decrease, rather than the amplitude of the changes. The OECD’s headline indicator is the amplitude adjusted CLI. In practice, turning points in the de-trended reference series have been found about 4 to 8 months (on average) after the signals of turning points had been detected in the headline CLI.
    • كانون الأول 2016
      المصدر: Concordia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 تموز, 2017
      تحديد مجموعة بيانات
      THE CONCORDIA PARTNERSHIP Index (the Index) was developed as a tool for public, private, and nonprofit organizations to identify opportunities to form strategic partnerships and pool resources for the implementation of innovative ideas. The Index ranks countries based on their readiness and need to engage in public-private partnerships (P3s). The inclu- sion of the need indicators sets the Index apart from other indices that measure P3 environ- ments. While the success of a P3 depends on a country’s political and market structures, the Index recognizes that for a P3 to be truly impactful it must address a large-scale need.
    • آب 2019
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 آب, 2019
      تحديد مجموعة بيانات
      The consolidated banking statistics (CBS) measure international banking activity from a nationality perspective, focusing on the country where the banking group's parent is headquartered. While residence-based data such as the locational banking statistics indicate where positions are booked, they do not always identify where underlying decisions are made. This is because banking offices in one country may operate within a business model decided by the group's controlling parent, which may be headquartered in another country. The CBS capture the worldwide claims of banking groups based in reporting countries and exclude intragroup positions, similar to the consolidation approach followed by banking supervisors. The CBS provide several different measures of banking groups' country risk exposures, on either an immediate counterparty or an ultimate risk basis. The most appropriate exposure measure depends on the issue being analysed. The benchmark measure in the CBS is foreign claims, which capture credit to borrowers outside a banking group's home country.   Measure for all Combinations - Amounts Outstanding / Stocks   Note: Under "Reporting country" they have removed "Euro Area".   Data cited at : https://www.bis.org/statistics/index.htm
    • أيلول 2019
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 أيلول, 2019
      تحديد مجموعة بيانات
      Below Parameters are common for all combinations : Frequency - Quarterly Measure -Amounts Outstanding / Stocks CBS Bank Type - Domestic Banks CBS Reporting Basis - Immediate Counterparty Basis Balance Sheet Position - Total Claims Type of Instruments - All Instruments Remaining Maturity - All Maturities Currency Type of Booking Location - All Currencies Counterparty Sector - All Sectors Data cited at : https://www.bis.org/statistics/index.htm
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Consumer price indexes (CPIs) are index numbers that measure changes in the prices of goods and services purchased or otherwise acquired by households, which households use directly, or indirectly, to satisfy their own needs and wants. In practice, most CPIs are calculated as weighted averages of the percentage price changes for a specified set, or ‘‘basket’’, of consumer products, the weights reflecting their relative importance in household consumption in some period. CPIs are widely used to index pensions and social security benefits. CPIs are also used to index other payments, such as interest payments or rents, or the prices of bonds. CPIs are also commonly used as a proxy for the general rate of inflation, even though they measure only consumer inflation. They are used by some governments or central banks to set inflation targets for purposes of monetary policy. The price data collected for CPI purposes can also be used to compile other indices, such as the price indices used to deflate household consumption expenditures in national accounts, or the purchasing power parities used to compare real levels of consumption in different countries.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      The 'Consumer Price Indices (CPIs)' contains all data that was previously contained in three different datasets: 'Consumer Prices', 'National Consumer Price Indices (CPIs) by COICOP divisions' and 'Harmonised Indices of Consumer Prices (HICPs) by COICOP divisions'. The 'Consumer Price Indices (CPIs)' dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 36 OECD member countries and for some non-member countries. The ‘Consumer Price Indices (CPIs)' dataset contains statistics on Consumer Price Indices including national CPIs, Harmonised Indices of Consumer Prices (HICPs) and their associated weights and contributions to national annual inflation. The data series presented have been chosen as the most relevant prices statistics for which comparable data across countries is available. In all cases, a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. Data are available monthly for all the countries except for Australia and New Zealand (quarterly data).
    • كانون الأول 2018
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 شباط, 2019
      تحديد مجموعة بيانات
      The CDIS database presents detailed data on "inward" direct investment positions (i.e., direct investment into the reporting economy) cross-classified by economy of immediate investor, and data on "outward" direct investment positions (i.e., direct investment abroad by the reporting economy) cross-classified by economy of immediate investment. The CDIS database contains breakdowns of direct investment position data, including, in most instances, separate data on net equity and net debt positions, as well as tables that present "mirror" data (i.e., tables in which data from the reporting economy are shown side-by-side with the data obtained from all other counterpart reporting economies).
    • كانون الثاني 2019
      المصدر: Transparency International
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 شباط, 2019
      تحديد مجموعة بيانات
      Data cited at CORRUPTION PERCEPTIONS INDEX 2018 by Transparency International is licensed under CC-BY-ND 4.0. Global Corruption Barometer is the largest world-wide public opinion survey on corruption. see more at https://www.transparency.org/cpi2018 Transparency International(TI) defines corruption as the abuse of entrusted power for private gain. This definition encompasses corrupt practices in both the public and private sectors. The Corruption Perceptions Index (CPI) ranks countries according to the perception of corruption in the public sector. The CPI is an aggregate indicator that combines different sources of information about corruption, making it possible to compare countries. The CPI ranks almost 200 countries by their perceived levels of corruption, as determined by expert assessments and opinion surveys.
    • شباط 2019
      المصدر: Numbeo
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 آذار, 2019
      تحديد مجموعة بيانات
      Data cited at NUMBEO Numbeo is the world’s largest database of user contributed data about cities and countries worldwide. Numbeo provides current and timely information on world living conditions including cost of living, housing indicators, health care, traffic, crime and pollution. For more information please check http://www.numbeo.com/cost-of-living/rankings_by_country.jsp   About dataset: These indices are relative to New York City (NYC). Which means that for New York City, each index should be 100(%). If another city has, for example, rent index of 120, it means rents in average in that city are 20% more expensive than in New York City. If a city has rent index of 70, that means in the average in that city rents are 30% less expensive than in New York City. Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods price, including groceries, restaurants, transportation and utilities. Cost of Living Index doesn't include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo estimates it is 20% more expensive than New York (excluding rent). Rent Index is estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price for renting in that city is 80% of price in New York. Groceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses "Markets"section of each city. Restaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC. Cost of Living Plus Rent Index is an estimation of consumer goods prices including rent in the city comparing to New York City. Local Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy 60% less typical goods and services than New York City residents with an average salary.
    • تشرين الثاني 2012
      المصدر: Freedom House
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 كانون الأول, 2012
      تحديد مجموعة بيانات
      Countries at the Crossroads is an annual analysis of government performance in 70 strategically important countries worldwide that are at a critical crossroads in determining their political future. The in-depth comparative assessments and quantitative ratings – examining government accountability, civil liberties, rule of law, and anticorruption and transparency efforts – are intended to help international policymakers identify areas of progress, as well as to highlight areas of concern that could be addressed in diplomatic efforts and reform assistance.The Crossroads project has generated far-reaching interest since its inception in 2004. Increased attention to the relationship between competent governance and respect for civil and political rights means that scholars and policymakers require sophisticated tools to help place the performance of various governments in perspective. Crossroads helps ground this analysis by providing indispensable quantitative assessment that allows for comparison over time, as well as detailed narrative reports that provide real-world context.A new edition of Crossroads is published each year, with half the set of countries analyzed in odd years and the other half in even years. Crossroads reports are written and evaluated by some of the most prominent independent experts available for each country.
    • نيسان 2015
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 آب, 2015
      تحديد مجموعة بيانات
      Global growth is forecast at 3.5 percent in 2015 and 3.8 percent in 2016, with uneven prospects across the main countries and regions of the world. The distribution of risks to near-term global growth has become more balanced relative to the October World Economic Outlook but is still tilted to the downside. The decline in oil prices could boost activity more than expected. Geopolitical tensions continue to pose threats, and risks of disruptive shifts in asset prices remain relevant. In some advanced economies, protracted low inflation or deflation also pose risks to activity. The chapter takes a region-by-region look at the recent development in the world economy and the outlook for 2015, with particular attention to notable development in countries within each region.
    • كانون الثاني 2019
      المصدر: NYU Stern
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 شباط, 2019
      تحديد مجموعة بيانات
      Citation: Damodaran, Aswath, Equity Risk Premiums (ERP): Determinants, Estimation and Implications – The 2016 Edition (March 5, 2016). Available at SSRN: https://ssrn.com/abstract=2742186 or http://dx.doi.org/10.2139/ssrn.2742186   This dataset summarizes the latest bond ratings and appropriate default spreads for different countries. While you can use these numbers as rough estimates of country risk premiums, you may want to modify the premia to reflect the additional risk of equity markets. To estimate the long term country equity risk premium, I start with a default spread, which I obtain in one of two ways: (1) I use the local currency sovereign rating (from Moody's: www.moodys.com) and estimate the default spread for that rating (based upon traded country bonds) over a default free government bond rate. For countries without a Moody's rating but with an S&P rating, I use the Moody's equivalent of the S&P rating. To get the default spreads by sovereign rating, I use the CDS spreads and compute the average CDS spread by rating. Using that number as a basis, I extrapolate for those ratings for which I have no CDS spreads. (2) I start with the CDS spread for the country, if one is available and subtract out the US CDS spread, since my mature market premium is derived from the US market. That difference becomes the country spread. For the few countries that have CDS spreads that are lower than the US, I will get a negative number. You can add just this default spread to the mature market premium to arrive at the total equity risk premium. I add an additional step. In the short term especially, the equity country risk premium is likely to be greater than the country's default spread. You can estimate an adjusted country risk premium by multiplying the default spread by the relative equity market volatility for that market (Std dev in country equity market/Std dev in country bond). I have used the emerging market average of 1.12 (estimated by comparing a emerging market equity index to an emerging market government/public bond index) to estimate country risk premium.I have added this to my estimated risk premium of 5.08% for mature markets (obtained by looking at the implied premium for the S&P 500) to get the total risk premium. Notes:  The year of publication has been considered as per publication date. For example, data published on 2018-Jan considered as 2018, similarly 2019-Jan as 2019    
    • آذار 2018
      المصدر: Statistics Finland
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 012 -- Country of birth according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_012.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Country of birth The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Non-autonomous states are summed under their mother country. Country of birth Sudan Sudan + Former Sudan
    • تموز 2016
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 تموز, 2016
      تحديد مجموعة بيانات
      Country Programmable Aid (CPA), outlined in our Development Brief  and also known as “core” aid, is the portion of aid donors programme for individual countries, and over which partner countries could have a significant say. CPA is much closer than ODA to capturing the flows of aid that goes to the partner country, and has been proven in several studies to be a good proxy of aid recorded at country level. CPA was developed in 2007 in close collaboration with DAC members. It is derived on the basis of DAC statistics and was retroactively calculated from 2000 onwards
    • حزيران 2018
      المصدر: Reputation Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تموز, 2018
      تحديد مجموعة بيانات
      Country RepTrak | Top Countries by ReputationThe Global RepTrak® 100 is a study that Reputation Institute conducts annually to measure the reputation of the world’s 100 most highly-regarded and familiar global companies in 15 countries. Included firms must meet the following qualifications: 1) Have a significant economic presence in the 15 largest economies 2) Have an above average reputation in its home country 3) Have global familiarity over 40% It is the largest Global reputation study, with ~170,000 ratings   Normative Scale for Reputation track pulse score Excellent/Top Tier: 80+ Strong/Robust: 70-79 Avg./Moderate: 60-69 Weak/Vulnerable: 40-59 Poor/Lowest: <40
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 آب, 2019
      تحديد مجموعة بيانات
      The country statistical profiles provide a broad selection of indicators, illustrating the demographic, economic, environmental and social developments, for all OECD members. The dataset also covers the five key partner economies with which the OECD has developed an enhanced engagement program with (Brazil, China, India, Indonesia and South Africa) ,accession countries (Colombia, Costa Rica and Lithuania) , Peru and the Russian Federation. The user can easily compare indicators across all countries. Total fertility rates - Unit of measure used: Number of children born to women aged 15 to 49
    • تشرين الأول 2019
      المصدر: Netherlands Bureau for Economic Policy Analysis
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at:CPB Netherlands Bureau for Economic Policy Analysis: World Trade Monitor - https://www.cpb.nl/en/worldtrademonitor   The CPB World Trade Monitor (WTM) is an instrument for bringing together, aggregating, and summarizing worldwide monthly data on international trade and industrial production. Its purpose is to report monthly developments in trade and production at the earliest possible date, covering a sample of countries as large as possible. Country coverage is sufficient to identify monthly movements at the global level as well as at that of major economic regions. In the WTM, "trade" is trade in commodities (elsewhere referred to as "merchandise trade"). "Production" is industrial production, that is: value added in mining, manufacturing, and utilities (elsewhere referred to as "industry excluding construction")."
    • أيلول 2019
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 أيلول, 2019
      تحديد مجموعة بيانات
      >>All series on credit to the non-financial sector cover 44 economies, both advanced and emerging. They capture the outstanding amount of credit at the end of the reference quarter. Credit is provided by domestic banks, all other sectors of the economy and non-residents. In terms of financial instruments, credit covers the core debt, defined as loans, debt securities and currency & deposits.   >>All series are published in local currency, in US dollars and as percentages of nominal GDP. The regional aggregates as percentages of GDP are calculated based on conversion to the US dollar at market and at purchasing power parity (PPP) exchange rates.   Data cited at : https://www.bis.org/statistics/index.htm
    • حزيران 2019
      المصدر: Numbeo
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تموز, 2019
      تحديد مجموعة بيانات
      Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite opposite of crime index. If the city has a high safety index, it is considered very safe.
    • آذار 2019
      المصدر: European Commission
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 نيسان, 2019
      تحديد مجموعة بيانات
      Note: (1) Source: Council Regulation (EC) n°2964/95 of 20 December 1995. (2) The cif price includes the fob price (the price actually invoiced at the port of loading), the cost of transport, insurance and certain charges linked to crude oil transfer operations. (3) Due to confidentiality Czech Republic is excluded from EU(28). (4) For Romania November-2016 and December-2016 are estimations derived from Eurostat data
    • تموز 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      GHG emissions data from the cultivation of organic soils are those associated with nitrous oxide gas from organic soils under cropland (item: Cropland organic soils) and grassland (item: Grassland organic soils). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg N2O and Gg CO2eq, by cropland, grassland and by their aggregation. Implied emission factor for N2O as well activity data (areas) are also provided.
    • حزيران 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 حزيران, 2019
      تحديد مجموعة بيانات
      This table shows exchange rates for currencies used in over 190 world economies presented in a cross rates layout where countries are presented in both rows and columns. National currency per US dollars exchange rates are used to derive explicit exchange rates for each of the countries presented with regard to any other country. Country series are consistent over time: for example, a conversion was made from national currency to Euro for the Euro Zone economies for all years prior to the adoption of Euro.
  • D
    • نيسان 2019
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 حزيران, 2019
      تحديد مجموعة بيانات
      This 10th edition of the Institute for Health Metrics and Evaluation’s annual Financing Global Health report provides the most up-to-date estimates of development assistance for health, domestic spending on health, health spending on two key infectious diseases – malaria and HIV/AIDS – and future scenarios of health spending. Several transitions in global health financing inform this report: the influence of economic development on the composition of health spending; the emergence of other sources of development assistance funds and initiatives; and the increased availability of disease-specific funding data for the global health community. For funders and policymakers with sights on achieving 2030 global health goals, these estimates are of critical importance. They can be used for identifying funding gaps, evaluating the allocation of scarce resources, and comparing funding across time and countries.
    • آذار 2019
      المصدر: U.S. Department of Commerce, Bureau of Economic Analysis
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيار, 2019
      تحديد مجموعة بيانات
      U.S. Direct Investment Abroad: Income Without Current-Cost Adjustment, Quarterly Update 
    • حزيران 2019
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 آب, 2019
      تحديد مجموعة بيانات
      GBD 2017 - Disability-Adjusted Life Years and Healthy Life Expectancy 1990-2017 The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for disability-adjusted life years (DALYs) by cause, age, and sex and healthy life expectancy (HALE) by age and sex are available from the GBD Results Tool for 1990-2016 (quinquennial). Select tables published in The Lancet in September 2017 in "Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016" are also available for download via the “Files” tab above.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The OECD FSE database is intended to be the best source of information on fisheries policies in OECD members and participating non-OECD economies. It is designed to monitor and quantify developments in fisheries policy, to establish a common basis for policy dialogue among countries, and to provide economic data to assess the effectiveness and efficiency of policies. These tables report country programmes data aggregated according to the main categories presented in the FSE Manual. More detailed documentation on country programmes can be found in country-level metadata; more data on country programmes can be found in the full dataset (Excel Format - link provided below). Statistics are organized in pivot tables to make possible cross-country comparisons and to filter disaggregated policy-level data by policy implementation criteria and country.
  • E
    • تموز 2013
      المصدر: Earth Policy Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تموز, 2013
      تحديد مجموعة بيانات
      Contains annual data series on water consumption, irrigated area, solar water and space heating area, countries overpumping aquifers and water deficits for the countries and regions through the time period from 1961 to 2013.
    • أيلول 2019
      المصدر: Fraser Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 أيلول, 2019
      تحديد مجموعة بيانات
      Data cited at: "Economic Freedom of the World: 2019 Annual Report"@Fraser Institute   The economic freedom index measures the degree of economic freedom present in five major areas: [1] Size of Government; [2] Legal System and Security of Property Rights; [3] Sound Money; [4] Freedom to Trade Internationally; [5] Regulation. Within the five major areas, there are 24 components (area) in economic freedom index. Each component and sub-component is placed on a scale from 0 to 10.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
    • آب 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 آب, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Education Statistics Publication: https://datacatalog.worldbank.org/dataset/education-statistics License: http://creativecommons.org/licenses/by/4.0/   The World Bank EdStats All Indicator Query holds over 4,000 internationally comparable indicators that describe education access, progression, completion, literacy, teachers, population, and expenditures. The indicators cover the education cycle from pre-primary to vocational and tertiary education.
    • تشرين الأول 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The present data collection consists of the following indicators:Interest rates : Day-to-day money market interest rates, 3-month interest rates, Euro yields and Long term government bond yields - Maastricht definitionEuro/Ecu exchange rates: Exchange rates against the ECU/euroEffective exchange rates indices : Nominal Effective Exchange Rate, Real Effective Exchange Rate Â
    • كانون الثاني 2019
      المصدر: U.S. Energy Information Administration
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 حزيران, 2019
      تحديد مجموعة بيانات
      EIA's Annual Energy Outlook provides modeled projections of domestic energy markets through 2050, and it includes cases with different assumptions regarding macroeconomic growth, world oil prices, technological progress, and energy policies. Strong domestic production coupled with relatively flat energy demand allow the United States to become a net energy exporter over the projection period in most cases. In the Reference case, natural gas consumption grows the most on an absolute basis, and non-hydroelectric renewables grow the most on a percentage basis. The AEO is developed using the National Energy Modeling System (NEMS), an integrated model that captures interactions of economic changes and energy supply, demand, and prices. Energy market projections are subject to much uncertainty, as many of the events that shape energy markets and future developments in technologies, demographics, and resources cannot be foreseen with certainty.
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 آب, 2019
      تحديد مجموعة بيانات
      These tables are a complement to the report Agricultural Policy Monitoring and Evaluation 2012 : OECD COUNTRIES. They comprise the summary of agricultural support estimates for OECD countries.
    • تموز 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Greenhouse Gas (GHG) emissions from burning of savanna consist of methane (CH4) and nitrous oxide (N2O) gases produced from the burning of vegetation biomass in the following five land cover types: Savanna, Woody Savanna, Open Shrublands, Closed Shrublands, and Grasslands. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (savanna, woody savanna, closed shrubland, open shrubland, grassland) and by aggregates (all categories, savanna and woody savanna, closed and open shrubland). Implied emission factors for N2O and CH4 as well activity data (burned area and biomass burned) are also provided.
    • أيلول 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Agriculture Total contains all the emissions produced in the different agricultural emissions sub-domains (enteric fermentation, manure management, rice cultivation, synthetic fertilizers, manure applied to soils, manure left on pastures, crop residues, cultivation of organic soils, burning of crop residues, burning of savanna, energy use), providing a picture of the contribution to the total amount of GHG emissions from agriculture. GHG emissions from agriculture consist of non-CO2 gases, namely methane (CH4) and nitrous oxide (N2O), produced by crop and livestock production and management activities. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/index.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg CO2 and CO2eq (from CH4 and N2O), by underlying agricultural emission sub-domain and by aggregate (agriculture total, agriculture total plus energy, agricultural soils).
    • حزيران 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Greenhouse Gas (GHG) emissions from burning crop residues consist of methane (CH4) and nitrous oxide (N2O) gases produced by the combustion of a percentage of crop residues burnt on-site. The mass of fuel available for burning should be estimated taking into account the fractions removed before burning due to animal consumption, decay in the field, and use in other sectors (e.g., biofuel, domestic livestock feed, building materials, etc.). FAOSTAT emission estimates are computed at Tier 1 following the IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, reguions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4, Gg N2O, Gg CO2eq and CO2eq from CH4 and N2O, by crop (maize, rice, sugarcane and wheat) and by aggregates. Implied emission factors for N2O and CH4 as well activity data (biomass burned) are also provided.
    • حزيران 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Greenhouse gas (GHG) emissions from crop residues consist of direct and indirect nitrous oxide (N2O) emissions from nitrogen (N) in crop residues and forage/pasture renewal left on agricultural fields by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories, Vol. 4, Ch. 2 and 11(http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by crop and N content in residues.
    • حزيران 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Greenhouse gas (GHG) emissions from enteric fermentation consist of methane gas produced in digestive systems of ruminants and to a lesser extent of non-ruminants. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), goats, horses, llamas, mules, sheep, swine (breeding and market)) and by species aggregates (all animals, camels and llamas, cattle, mules and asses, sheep and goats, swine). Implied emission factor for CH4 and activity data are also provided
    • حزيران 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      GHG emissions from manure applied to soils consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) added to agricultural soils by farmers. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the application site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding and market) and turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and activity data (N content in manure) are also provided.
    • حزيران 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      GHG emissions from manure left on pastures consist of direct and indirect nitrous oxide (N2O) emissions from manure nitrogen (N) left on pastures by grazing livestock. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the deposition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 10 and 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as direct, indirect and total Gg N2O and Gg CO2eq, by livestock species (asses, buffaloes, camels, cattle (dairy and non-dairy), chickens (broilers and layers), ducks, goats, horses, llamas, mules, sheep, swine (breeding, market), turkeys) and by species aggregates (all animals, camels and llamas, cattle, chickens, mules and asses, poultry birds, sheep and goats, swine). Implied emission factor for N2O and N content in manure are also provided.
    • حزيران 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
    • أيلول 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Greenhouse gas (GHG) emissions from synthetic fertilizers consist of nitrous oxide gas from synthetic nitrogen additions to managed soils. Specifically, N2O is produced by microbial processes of nitrification and de-nitrification taking place on the addition site (direct emissions), and after volatilization/re-deposition and leaching processes (indirect emissions). The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories vol. 4, ch. 11 (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided as direct, indirect and total by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed as Gg N2O and Gg CO2eq. Implied emission factor for N2O and activity data (consumption) are also provided.
    • أيار 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Greenhouse Gas (GHG) emissions from burning of biomass consist of methane and nitrous oxide gases from biomass combustion of forest land cover classes ‘Humid and Tropical Forest’ and ‘Other Forests’, and of methane, nitrous oxide, and carbon dioxide gases from combustion of organic soils. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html). GHG emissions are provided by country, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CH4, Gg N2O, Gg CO2, Gg CO2eq and Gg CO2eq from both CH4 and N2O, by land cover class (humid tropical forest, other forest, organic soils) and by aggregate (burning - all categories). Implied emission factors for N2O, CH4 and CO2 as well activity data (burned area and biomass burned) are also provided.
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Employees are all those workers who hold paid employment jobs, which are those where the incumbents hold employment contracts which give them a basic remuneration not directly dependent upon the revenue of the unit for which they work. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • حزيران 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 تموز, 2019
      تحديد مجموعة بيانات
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1991-2016 are estimates while 2017-2021 data are projections. The dataset was updated as of November 2017. For more information, refer to the ILO estimates and projections methodological note.
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The employed comprise all persons of working age who, during a specified brief period, were in one of the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work).
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The employed comprise all persons of working age who, during a specified brief period, were in the following categories: a) paid employment (whether at work or with a job but not at work); or b) self-employment (whether at work or with an enterprise but not at work). Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) collects, on an annual basis from all its participating countries, data on landings, aquaculture production, fleet, employment in the fisheries sector, and government financial transfers. Data are collected from Fisheries Ministries, National Statistics Offices and other institution designated as an official data source. Concepts Classifications Data are collected by the OECD using the methodologies established by the Coordinating Working Party on Fishery Statistics (CWP) (www.fao.org/fishery/cwp/search/en). This inter-agency body, created in 1960 to develop common procedures and standards for the collation of fisheries statistics, provides technical advice on fishery statistical matters. Its handbook of Fishery Statistical Standards comprises definitions of the various concepts used in fishery statistics, with the exception of Government Financial Transfers which is unique to the OECD. All other statistics are based on the CWP definitions. The OECD, a partner with the CWP, additionally collects information on values for its landings and records the breakdown between the types of landings (i.e. landings in domestic ports, landings in foreign ports) data series which are not collected by the FAO. While a number of countries cover landings in a similar fashion, the same does not hold true for capacity (feet/meters, GRT/engine powers), or for employment for which both Full-time equivalents or numbers of people are used. The OECD therefore does not duplicate FAO statistics but requests complementary information to feed its analytical work.
    • أيلول 2019
      المصدر: Statistics Finland
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 أيلول, 2019
      تحديد مجموعة بيانات
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- Energy import and export by country http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_004_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description Consepts and definitions *Year preliminary
    • أيار 2018
      المصدر: Federal Institute for Geosciences and Natural Resources
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 أيار, 2018
      تحديد مجموعة بيانات
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 أيلول, 2019
      تحديد مجموعة بيانات
      Number of students enrolled in different education programmes by age and sex.
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 آب, 2019
      تحديد مجموعة بيانات
      Number of students enrolled in different education programmes by type of institution and sex.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Enrolment rate per age is the percentage of students enrolled in each type of institution over the total of students
    • تموز 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تموز, 2019
      تحديد مجموعة بيانات
      1: Most surveys were administered using the Enterprise Surveys Global Methodology as outlined in the Methodology page, while some others did not strictly adhere to the Enterprise Surveys Global Methodology. For example, for surveys which do not follow the Global Methodology, the Universe under consideration may have consisted of only manufacturing firms or the questionnaire used may have been different from the standard global questionnaire. Data users should exercise caution when comparing raw data and point estimates between surveys that did and did not adhere to the Enterprise Surveys Global Methodology. For surveys which did not adhere to the Global Methodology plus Afghanistan 2008, any inference from one of these surveys is representative only for the data sample itself. 2: Regional and "all countries" averages of indicators are computed by taking a simple average of country-level point estimates. For each economy, only the latest available year of survey data is used in this computation. Only surveys, posted during the years 2009-2017, and adhering to the Enterprise Surveys Global Methodology are used to compute these regional and "all countries" averages. 3: Descriptions of firm subgroup levels, e.g. how the ex post groupings are constructed, are provided in the Indicator Descriptions (PDF, 710KB) document. 4: Statistics derived from less than or equal to five firms are displayed with an "n.a." to maintain confidentiality and should be distinguished from ".." which indicates missing values. Also note for three growth-related indicators under the "Performance" topic, these indicators are not computed when they are derived from less than 30 firms. 5: Standard errors are labeled "n.c.", meaning not computed, for the following:    1) indicators for all surveys that were not conducted using the Enterprise Surveys Global Methodology and    2) for indicator breakdowns by ex post groupings: exporter or ownership type, and gender of the top manager.
    • كانون الثاني 2018
      المصدر: Yale Center for Environmental Law & Policy
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 شباط, 2018
      تحديد مجموعة بيانات
      Data cited at: Wendling, Z. A., Emerson, J. W., Esty, D. C., Levy, M. A., de Sherbinin, A., et al. (2018). 2018 Environmental Performance Index. New Haven, CT: Yale Center for Environmental Law & Policy. https://epi.yale.edu/   The Environmental Performance Index (EPI) is constructed through the calculation and aggregation of 20 indicators reflecting national-level environmental data. These indicators are combined into nine issue categories, each of which fit under one of two overarching objectives. The two objectives that provide the overarching structure of the EPI are Environmental Health and Ecosystem Vitality. Environmental Health measures the protection of human health from environmental harm. Ecosystem Vitality measures ecosystem protection and resource management. These two objectives are further divided into nine issue categories that span high-priority environmental policy issues, including air quality, forests, fisheries, and climate and energy, among others. The issue categories are extensive but not comprehensive. Underlying the nine issue categories are 20 indicators calculated from country-level data and statistics. After more than 15 years of work on environmental performance measurement and six iterations of the EPI, global data are still lacking on a number of key environmental issues. These include: freshwater quality, toxic chemical exposures, municipal solid waste management, nuclear safety, wetlands loss, agricultural soil quality and degradation, recycling rates, adaptation, vulnerability, and resiliency to climate change, desertification.
    • آب 2011
      المصدر: Multiple Sources
      تم التحميل بواسطة: Knoema
      تحديد مجموعة بيانات
      A compilation of monthly closing stock indices for major stock exchanges across the World. This dataset is updated on a monthly basis.
    • تشرين الأول 2019
      المصدر: Organization of Petroleum Exporting Countries
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Estimate and Projection of Supply and Demand of Oil by OPEC, October 2019
    • تموز 2017
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 آب, 2017
      تحديد مجموعة بيانات
      Note: For latest data, please contact us: https://knoema.com/contact  
    • أيار 2019
      المصدر: U.S. Department of Agriculture
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 آب, 2019
      تحديد مجموعة بيانات
      The Dataset contain data on expenditures on food (including nonalcoholic beverages), alcoholic beverages, and tobacco as a share of consumer expenditures on all goods and services for 86 countries. The tables also contain data on per capita consumer expenditures on goods and services, as well as per capita food expenditures for these countries. Data is available for the 104 countries for which this type of information is currently available in the source database, Euromonitor International. All expenditure data are in current U.S. dollars.
    • أيار 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 تموز, 2019
      تحديد مجموعة بيانات
      This table presents annual statistics on international trade in services of individual economies by trading partner and by 78 selected service categories. In addition, the table contains data for services trade of various groups of economies with "world" and for selected principal service categories. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC).
    • نيسان 2019
      المصدر: U.S. Department of Commerce, International Trade Administration
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 نيسان, 2019
      تحديد مجموعة بيانات
      US: Exports and Imports of New Passenger Vehicles and Light Trucks 2019.
    • أيلول 2013
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2013
      تحديد مجموعة بيانات
      This table presents information on the external long-term indebtedness of developing economies (as debtors), expressed in millions of dollars, expressed as percentage of total long-term debt, as percentage of debt source and as percentage of region. The table also provides breakdown of public and publicly guaranteed debt by source of lending (as creditors).
  • F
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 آب, 2019
      تحديد مجموعة بيانات
      In view of the strong demand for cross-national indicators on the situation of families and children, the OECD Family Database was developed to provide cross-national indicators on family outcomes and family policies across the OECD countries, its enhanced engagement partners and EU member states. The database brings together information from various national and international databases, both from within the OECD and from external organisations. The database classifies indicators into four main dimensions: (i) structure of families, (ii) labour market position of families, (iii) public policies for families and children and (iv) child outcomes. Detailed information on the definitions, sources and methods used in the construction of the database can be found on the OECD Family Database webpage.
    • أيار 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      The dataset includes data on gross and net production indices for various food and agriculture aggregates expressed in both totals and per capita.
    • تموز 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 تموز, 2019
      تحديد مجموعة بيانات
      Following the recommendation of experts gathered in the Committee on World Food Security (CFS) Round Table on hunger measurement, hosted at FAO headquarters in September 2011, an initial set of indicators aiming to capture various aspects of food insecurity is presented here. The choice of the indicators has been informed by expert judgment and the availability of data with sufficient coverage to enable comparisons across regions and over time. Many of these indicators are produced and published elsewhere by FAO and other international organizations. They are reported here in a single database with the aim of building a wide food security information system. More indicators will be added to this set as more data will become available.
    • تشرين الأول 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      The Price domain of FAOSTAT contains data on prices received by farmers (called Producer prices) for primary crops, live animals, livestock primary products as collected at the point of initial sale (prices paid at the farm-gate). Data are provided for over 160 countries and for some 200 commodities. The Price domain provides price data in three units: i) Local Currency Units (LCU) ii) Standard Local Currency (SLC) iii) US Dollars.
    • تشرين الثاني 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      Value of gross production has been compiled by multiplying gross production in physical terms by output prices at farm gate. Thus, value of production measures production in monetary terms at the farm gate level. Since intermediate uses within the agricultural sector (seed and feed) have not been subtracted from production data, this value of production aggregate refers to the notion of "gross production". Value of gross production is provided in both current and constant terms and is expressed in US dollars and Standard Local Currency (SLC). The current value of production measures value in the prices relating to the period being measured. Thus, it represents the market value of food and agricultural products at the time they were produced. Knowing this figure is helpful in understanding exactly what was happening within a given economy at that point in time. Often, this information can help explain economic trends that emerged in later periods and why they took place. Value of production in constant terms is derived using the average prices of a selected year or years, known as the base period. Constant price series can be used to show how the quantity or volume of products has changed, and are often referred to as volume measures. The ratio of the current and constant price series gives a measure of price movements. US dollar figures for value of gross production are converted from local currencies using official exchange rates as prevailing in the respective years. The SLC of a country is the local currency prevailing in the latest year. Expressing data series in one uniform currency is useful because it avoids the influence of revaluation in local currency, if any, on value of production
    • تشرين الأول 2011
      المصدر: Food and Agricultural Policy Research Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 كانون الأول, 2012
      تحديد مجموعة بيانات
      FAPRI U.S. and World Outlook presents multi-year projections for the United States and world agricultural sectors. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. These reports have been produced annually and used by congressional and agricultural leaders since 1985.
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 آب, 2019
      تحديد مجموعة بيانات
      FDI statistics cover all entities in an FDI relationship. An FDI relationship is established when an investor in one country acquires 10% or more of the voting power in a business enterprise in another country. The investor is also called a direct investor or a parent and the business enterprise is called a direct investment enterprise or an affiliate. The 10 percent criteria is used to establish that the direct investor has a significant degree of influence over the operations of the direct investment enterprise. The FDI population includes affiliates that are directly and indirectly owned by the parent. In direct ownership, the parent owns the 10% or more voting power itself. In indirect ownership, the parent controls an affiliate that in turn owns 10 percent or more of the voting power in another enterprise. The FDI population also includes enterprises that are not in a direct investment relationship themselves but have a direct investor in common. Called fellow enterprises, they are included because, even though there is no direct investment relationship between the two, any transactions between them likely resulted from the influence that their common direct investor has on both of their operations.
    • شباط 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2018
      تحديد مجموعة بيانات
      FDI data are based on statistics provided by 35 OECD member countries and by Lithuania. BMD4: OECD Benchmark Definition of Foreign Direct Investment - 4th Edition
    • آذار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 آذار, 2019
      تحديد مجموعة بيانات
    • حزيران 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2018
      تحديد مجموعة بيانات
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Source: OECD International direct investment database, IMF Reference:Benchmark Definition of Foreign Direct Investment, 3rd edition   Foreign direct investment reflects the objective of obtaining a lasting interest by a resident entity in one economy (‘‘direct investor'') in anentity resident in an economy other than that of the investor (‘‘direct investment enterprise''). The lasting interest implies the existence of a long-term relationship between the direct investor and the enterprise and a significant degree of influence on the management of the enterprise. Direct investment involves both the initial transaction between the two entities and all subsequent capital transactions between them and among affiliated enterprises, both incorporated and unincorporated.
    • تشرين الثاني 2017
      المصدر: International Fertilizer Industry Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      Assessment of Fertilizer Use by Crop at the Global Level 2015. Fully understanding the contribution of the different crop types to fertilizer use at national, regional and global levels is a prerequisite to the development of sound fertilizer demand forecasts. IFA gathers information on fertilizer use by crop in the main fertilizer-consuming countries. IFA’s country estimates currently cover 28 countries (considering the European Union (EU-28) as a single country). These countries account together for 94% of world fertilizer consumption.
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with aim of supporting analysis and assessing strengths and vulnerabilities of financial systems. The Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the concepts and definitions document in the document tab. Reporting countries compile FSI data using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata to conduct more meaning cross-country comparisons or to assess the evolution of a given FSI for any of the countries.
    • أيلول 2019
      المصدر: Statistics Finland
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 أيلول, 2019
      تحديد مجموعة بيانات
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- International trade in services by region, 1 000 000 euros http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__kan__tpulk/statfin_tpulk_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The statistics on international trade in goods and services cover international trade in balance of payments terms on the quarterly level. The statistics form a link for goods trade in customs and balance of payments terms, describe the breakdown of quarterly trade in services, and indicate the total exports of goods and services by area. . = Category not applicable. .. = Data not available or too uncertain for presentation, or subject to secrecy. Description of statistics Concepts and definitionsRegion Region and statesYear Year.Data Import The value of imports, 1 000 000 euros.Export The value of exports, 1 000 000 euros.
    • كانون الأول 2018
      المصدر: Statistics Finland
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 كانون الأول, 2018
      تحديد مجموعة بيانات
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- Population by main type of activity, nationality, occupational status, sex, age and year 2000-2017* http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__tyokay/statfin_tyokay_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The figures in the tables are final. Description of statistics Concepts and definitions Classifications .. = Data not available or too uncertain for presentation, or subject to secrecy. From 2005, the employment pension insurance includes those aged 18 to 68, while previously the obligation to take out pension insurance for employees already started from the age of 14. This is visible in the employment statistics from 2005 onwards as a fall in employment by young people and a rise in the number of students. Statistics cannot be compiled reliably on employment by under-age people on the basis of register data. Citizenships are specified in the table if the number of people in the citizenship group exceeds 99. © Tilastokeskus - Statistics Finland
    • آذار 2018
      المصدر: Statistics Finland
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 008 -- Nationality according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_008.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish)Nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country.Nationality Czech Republic Czech Republic + Former CzechoslovakiaSudan Sudan + Former Sudan
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The dataset Fisheries International collaboration in technology development (bilateral) provides the number of co-inventions (simple patent families) developed jointly by at least two inventors. This indicator is disaggregated by: Country - country of residence of the inventor(s), integral counted; in cases when inventors from more than two countries collaborate, this is translated into distinct bilateral relationships between country pairs. For example, if inventors from 3 countries collaborate (e.g. USA, DEU, JPN) then a unit count is assigned to 6 country pairs (USA-DEU, USA-JPN, DEU-JPN, DEU-USA, JPN-USA, JPN-DEU); in this case a country generally coordinate the project and the others are partners. Partner – country of residence of the inventor(s) who collaborate to the patent. Technology domain – the three main areas of innovation in fisheries and aquaculture, related to technology development. In detail: 1. Harvesting technology such as more effective ways to find or harvest fish and which are typically associated with improvements in catch per unit of effort (e.g. type/size of vessels and their methods of propulsion, search technologies, method of catching or harvesting fish and bringing them on board); 2.Aquaculture technology such as methods to more effectively grow fish in captivity (innovation in feeds, improving the health of aquaculture animals, etc.); 3. New products and markets such as the development of new fish products and markets (food technologies/processing such as the development of surimi as a crabmeat substitute) and the improvement of market access (secure or enlarge markets for fish products) that provides important incentives for green growth (e.g. eco-certification with fishers adopting by-catch saving technologies or modifying fishing practices and/or territorial user rights in fisheries).
    • آذار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 آذار, 2019
      تحديد مجموعة بيانات
      The OECD FISH Unit, in collaboration with the Environment Directorate and the Directorate for Science, Technology and Innovation, has developed patent-based innovation indicators that are suitable for tracking developments in fisheries-related technologies. The search strategy for fisheries and aquaculture related technologies adopts a mixed solution with a definition of the technical field of interest in fisheries and aquaculture innovation complemented by keywords, e.g. by looking for keywords in the International Patent Classification (IPC) codes and checking manually the relevance of the results in the text of patents (in the title, the abstract, etc). Technology domains are detailed in the ANNEX attached below. The indicators allow the assessment of countries' and firms' innovative performance as well as the design of governments' fisheries, aquaculture and innovation policies.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Fisheries R&D expenditures dataset contains the budgetary expenditures in research and development on total budgetary FSE. Three variables are presented in this dataset:  • R&D expenditures - they are budgetary expenditures that finance research and development activities related to fisheries, irrespective of the institution (private or public, ministry, university, research centre or fisher group) or where they take place, the nature of research (scientific, institutional, etc.), or its purpose. The focus is on research and development expenditures on applied research related to the fisheries sector. Social-sciences research related to fisheries is included. It is also included data dissemination when associated primarily with research and development (knowledge generation), e.g. reports from research and databases developed as an adjunct to research. •FISHERIES SUPPORT ESTIMATE - Budgetary - it is the annual monetary value of gross transfers from taxpayers to fishers arising from policy measures that support fisheries, regardless of their nature, objectives or impacts. Data on FSE are collected by the Fisheries Committee (COFI) from the Trade and Agriculture Directorate (TAD) on an annual basis from all its participating countries. Data are provided by Fisheries Ministries, National Statistics Offices and other institution designated as an official data source. The original financial data is collected in national currency at current values; they are converted and published also in US dollars, for analytical purposes and to allow data comparisons. • Share of R&D expenditures on FSE - it is the share of budgetary research and development expenditures on total budgetary FSE. Please notice that total budgetary FSE is defined ‘net’, i.e. it is adjusted for costs incurred by fishers in order to receive the support. Whenever these costs are of significant amount, total budgetary FSE becomes remarkably low or negative. The corresponding share of research and development expenditures turns into a percentage exceptionally high or negative.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The OECD Fisheries Support Estimates (FSE) database is intended to be the best source of information on fisheries policies in OECD members and participating non-OECD economies.   It is designed to monitor and quantify developments in fisheries policy, to establish a common basis for policy dialogue among countries, and to provide economic data to assess the effectiveness and efficiency of policies.   These tables report country programmes data aggregated according to the main categories presented in the FSE Manual.   More detailed documentation on country programmes can be found in country-level metadata; more data on country programmes can be found in the full dataset (Excel Format - link provided below). Statistics are organized in pivot tables to make possible cross-country comparisons and to filter disaggregated policy-level data by policy implementation criteria and country.   The FSE data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies.   Data on landings, aquaculture production, inland fisheries catch, fleet, employment, total allowable catch (TAC) and fisheries support estimate (FSE) are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The surveys used for this exercise are the OECD Fisheries questionnaires.
    • كانون الأول 2017
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.
    • أيلول 2017
      المصدر: Knoema
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 أيلول, 2017
      تحديد مجموعة بيانات
      Collect food prices data in your country and earn up to $120 every month.We are looking for data collectors who will go to the specific markets weekly, collect data on food prices for about 25 items and submit them into our system.
    • شباط 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • كانون الثاني 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Food supply data is some of the most important data in FAOSTAT. In fact, this data is for the basis for estimation of global and national undernourishment assessment, when it is combined with parameters and other data sets. This data has been the foundation of food balance sheets ever since they were first constructed. The data is accessed by both business and governments for economic analysis and policy setting, as well as being used by the academic community.
    • تموز 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 آب, 2019
      تحديد مجموعة بيانات
    • حزيران 2019
      المصدر: Department of Statistics, Malaysia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 تموز, 2019
      تحديد مجموعة بيانات
    • أيار 2019
      المصدر: Open Data Platform, Mexico
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 حزيران, 2019
      تحديد مجموعة بيانات
      Foreign Direct Investment (FDI) flows to Mexico, by country of origin, type of investment, economic sector and by state, by economic activity destination. FDI as a percentage of gross fixed capital formation. Unit: USD millions. Frequency: Quarterly. 1999-2018.
    • أيلول 2018
      المصدر: U.S. Department of Commerce, Bureau of Economic Analysis
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 آذار, 2019
      تحديد مجموعة بيانات
      The activities of multinational enterprises statistics available here provide a picture of the overall activities of U.S. affiliates of foreign parents and contain a wide variety of indicators of their financial structure and operations. These statistics cover items that are needed in analyzing the characteristics, performance, and economic impact of MNEs, and are obtained from mandatory surveys of U.S. affiliates of foreign parents conducted by BEA.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      FDI statistics cover all entities in an FDI relationship. An FDI relationship is established when an investor in one country acquires 10% or more of the voting power in a business enterprise in another country. The investor is also called a direct investor or a parent and the business enterprise is called a direct investment enterprise or an affiliate. The 10 percent criteria is used to establish that the direct investor has a significant degree of influence over the operations of the direct investment enterprise.   The FDI population includes affiliates that are directly and indirectly owned by the parent. In direct ownership, the parent owns the 10% or more voting power itself. In indirect ownership, the parent controls an affiliate that in turn owns 10 percent or more of the voting power in another enterprise.   The FDI population also includes enterprises that are not in a direct investment relationship themselves but have a direct investor in common. Called fellow enterprises, they are included because, even though there is no direct investment relationship between the two, any transactions between them likely resulted from the influence that their common direct investor has on both of their operations.
    • تموز 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 آب, 2019
      تحديد مجموعة بيانات
      This dataset contains information on foreign direct investment (FDI) inward and outward flows and stock, expressed in millions of dollars. Foreign direct investment (FDI) is an investment made by a resident enterprise in one economy (direct investor or parent enterprise) with the objective of establishing a lasting interest in an enterprise that is resident in another economy (direct investment enterprise or foreign affiliate). The lasting interest implies the existence of a long-term relationship between the direct investor and the direct investment enterprise and a significant degree of influence on the management of the enterprise. The ownership of 10% or more of the voting power of a direct investment enterprise by a direct investor is evidence of such a relationship. FDI flows comprise mainly three components:acquisition or disposal of equity capital. FDI includes the initial equity transaction that meets the 10% threshold and all subsequent financial transactions and positions between the direct investor and the direct investment enterprise;reinvestment of earnings which are not distributed as dividends;inter-company debt.   FDI flows are transactions recorded during the reference period (typically year or quarter). FDI stocks are the accumulated value held at the end of the reference period (typically year or quarter). In 2014, many countries implemented the new guidelines for the compilation of FDI data based on the Sixth edition of the Balance of Payments and International Investment Position Manual (BPM6) and the Fourth edition of OECD Benchmark Definition of Foreign Direct Investment (BD4). One of the major changes introduced in BPM6 and BD4 is the presentation of FDI statistics on an asset/liability basis instead of the directional principle (as recommended by the previous editions of these guidelines). On an asset/liability basis, direct investment statistics are organized according to whether the investment relates to an asset or a liability for the reporting country. Under the directional principle, the direct investment statistics are organized according to the direction of the investment for the reporting country - either inward or outward. The two presentations differ in their treatment of reverse investment (reverse investment is when an affiliate provides loans to its parent). Under the directional presentation, reverse investment is subtracted to derive the total outward or inward investment of the reporting economy. Therefore, FDI statistics on an asset/liability basis tends to be higher than those under the directional principle, but such is not always the case. While the presentation on an asset/liability basis is appropriate for macroeconomic analysis (i.e. the impact on the balance of payments), the presentation on directional principle is more appropriate to assist policymakers and government officials to formulate investment policies. This is because the presentation of the FDI data on directional basis reflects the direction of influence by the foreign direct investor underlying the direct investment: inward or outward direct investment. FDI data in this table are on directional principle, unless otherwise indicated.
    • أيلول 2019
      المصدر: Statistics Finland
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 001 -- Foreign direct investments by country 2013- http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__yri__ssij/statfin_ssij_pxt_001.px License: http://creativecommons.org/licenses/by/4.0/ ..=Information is confidential .=Information is missing Description of statistics Concepts and definitions
    • نيسان 2018
      المصدر: Statistics Centre of Abu Dhabi
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 أيار, 2019
      تحديد مجموعة بيانات
      Note: 2017 values are Preliminary Estimates.
    • حزيران 2019
      المصدر: Ministry of Finance, R.O.C. (Taiwan)
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 حزيران, 2019
      تحديد مجموعة بيانات
      The statistics cover only goods exported to and imported from the economic territory of the Republic of China (Taiwan, Penghu, Kinmen and Matsu). Fish caught and sold overseas by national fishing vessels are also included in exports.Total Exports = Exports + Re-exports, Total Imports = Imports + Re-imports.Exports/re-exports is based on F.O.B. value. Imports/re-imports is based on C.I.F value.The same currency exchange rate from NT dollar to US dollar is applied to either imports/re-imports or exports/re-exports, which is the midpoint between selling and buying rates announced by Customs every 10 days in a month for filling Customs declaration purpose.Notes:  1. Prior to 2015, the value of exports includes bunker oil for the use of national vessels, aircrafts and other means of conveyance engaged in international trade. 2. Prior to 1998, the value of exports and imports by Continent/Country excludes re-exports and re-imports.   2019 values are year to date
    • تشرين الأول 2019
      المصدر: U.S. Census Bureau
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • تشرين الأول 2019
      المصدر: Banco Nacional de Angola
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • أيلول 2019
      المصدر: Bahrain Open Data Portal
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The dataset provided by the iGA via http://www.data.gov.bh and terms of use available at http://www.data.gov.bh/en/TermsOfUse . To the full extent permitted by law the iGA is not liable for any damage or loss of any kind caused directly or indirectly by the use of the datasets or any derived analyses or application
    • كانون الثاني 2019
      المصدر: German Chemicals Industry Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 شباط, 2019
      تحديد مجموعة بيانات
      Chemistry facts and figures of Foreign Trade, Germany Facts and figures for chemistry (2017), Foreign Trade
    • كانون الأول 2018
      المصدر: Economic Timeseries Database-Economic Research and Policy Department, Central Bank of the Islamic Republic of Iran
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 آذار, 2019
      تحديد مجموعة بيانات
      Foreign Trade, Iran
    • حزيران 2018
      المصدر: Lao Statistics Bureau
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      This data set contains information of The statistics yearbook 2017 is compiled and published by Lao statistics Bureau, Ministry of Planning and Investment. Lao statistics Bureau of expressing gratitude provincial statistics Centre, line ministries involved, ministry-equivalent agencies and other parties to contribute to compile statistical data Economic, Social and Natural Resources and Environment cooperation throughout, Lao Statistics Bureau welcome the proposal, comments and feedback to guide the improvement this magazines better. Meanwhile, the Lao Statistics Bureau express thanks to highly among those interested in using information and statistics to Lao Statistics Bureau.
    • كانون الأول 2018
      المصدر: Liberia Institute of Statistics & Geo-Information Services
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 آب, 2019
      تحديد مجموعة بيانات
    • حزيران 2019
      المصدر: Namibia Statistics Agency
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 أيلول, 2019
      تحديد مجموعة بيانات
      Foreign Trade Statistics of Namibia
    • أيار 2019
      المصدر: Pakistan Bureau of Statistics
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 أيار, 2019
      تحديد مجموعة بيانات
    • آب 2019
      المصدر: Ministry of Development Planning and Statistics, Qatar
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 أيلول, 2019
      تحديد مجموعة بيانات
      Qatar: Foreign Merchandise Trade The foreign trade data reflects a clear image of the stages of economical growth in the State of Qatar, as it shows the commodities flow in the shape of national exports, re-exports, and imports to / from different countries of the world. The foreign trade tables contains detailed data for visible imports by country of origin and Exports and Re-Exports by country of destination. The commodity tables are classified by sections and items of the Harmonized System (H.S.) issued by World Customs Organization, which was adapted according to GCC’s needs to meet the actual movement of foreign trade in the region, in addition to other statistical tables. The customs declaration entry issued by Customs Department is the main source of statistical information according to the Special Trade System adopted by the State of Qatar.
    • تشرين الثاني 2018
      المصدر: Federal Competitiveness and Statistics Authority, United Arab Emirates
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      Data cited at: https://uaenumbers.fcsa.gov.ae/UAEITSS2018U3
    • نيسان 2019
      المصدر: Uganda Bureau of Statistics
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تموز, 2019
      تحديد مجموعة بيانات
    • آب 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The database contains data on the production and trade in roundwood and primary wood and paper products for all countries and territories in the world. The main types of primary forest products included in are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. These products are detailed further. The definitions are available. The database contains details of the following topics: - Roundwood removals (production) by type of wood and assortment - Production and trade in roundwood, woodfuel and other basic products - Industrial roundwood by assortment and species - Sawnwood, panels and other primary products - Pulp and paper & paperboard. More detailed information on wood products, including definitions, can be found at http://www.fao.org/forestry/statistics/80572/en/
    • حزيران 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
    • كانون الأول 2016
      المصدر: Carbon Dioxide Information Analysis Center
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 أيار, 2017
      تحديد مجموعة بيانات
      World and National CO2 Emissions from Fossil-Fuel Burning, Cement Manufacture, and Gas Flaring. Source: Tom Boden, Gregg Marland and Bob Andres (Oak Ridge National Laboratory)
    • كانون الأول 2018
      المصدر: Freedom House
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 آذار, 2019
      تحديد مجموعة بيانات
      Freedom in the World is Freedom House’s flagship annual report, assessing the condition of political rights and civil liberties around the world. It is composed of numerical ratings and supporting descriptive texts for many countries. Freedom in the World has been published since 1973, allowing Freedom House to track global trends in freedom over more than 40 years. It has become the most widely read and cited report of its kind, used on a regular basis by policymakers, journalists, academics, activists, and many others.
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 آب, 2019
      تحديد مجموعة بيانات
      Key statistical concept Although there are clear definitions for all the terms used in this survey, countries might have different methodologies to calculate tonne-kilometer and passenger-kilometers. Methods could be based on traffic or mobility surveys, use very different sampling methods and estimating techniques which could affect the comparability of their statistics. Also, if the definition on road fatalities is very clear and well applied by most countries, this is not the case for road injuries. Indeed, not only countries might have different definitions but the important underreporting of road injuries in most countries can distort analysis based on these data.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset shows the state and changes over time in the abstractions of freshwater resources in OECD countries. Water abstractions are a major pressure on freshwater resources, particularly from public water supplies, irrigation, industrial processes and cooling of electric power plants. It has significant implications for issues of quantity and quality of water resources. This dataset shows water abstractions by source (surface and ground water) and by major uses. Water abstractions refer to water taken from ground or surface water sources and conveyed to the place of use. If the water is returned to a surface water source, abstraction of the same water by the downstream user is counted again in compiling total withdrawal. When interpreting those data, it should be borne in mind that the definitions and estimation methods employed by Member countries may vary considerably among countries.
    • آذار 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 كانون الأول, 2018
      تحديد مجموعة بيانات
      Austria: Long-term annual average 1961-90 Belgium: Data exclude underground flows and include estimates Canada: Long-term annual average 1971-2004 Chile: Long-term annual average 2000-2014 Colombia: Long-term annual average 1974-2012 Czech Republic: The long-term annual average refers to the latest 20 years Denmark: Long-term annual average 1995-2015 Estonia: Long-term annual average refers to the latest 30 years and includes only data about fresh surface water France: Long-term annual average : 1981-2010. Inflow and outflow: outflow is computed using the throughput of rivers having their source in France but the mouth outside France; measures are taken at the French border using the daily throughputs. Precipitation and real evapotranspiration data are derived from a gridded atmospheric model (grid point of 8 by 8 km2) applied to the territory of metropolitan France. Germany: Long-term annual average 1995-2015 Hungary: Long-term annual average 1971-2000 Ireland: Long-term annual average 1981-2010. Groundwater figures are not available and therefore are not included. Israel: Long-term annual average 2000-2013 Italy: Long-term annual average 1971-2000 Japan: Long-term annual average 1971-2006 Korea: Long-term annual average 1974-2003 Latvia: Long-term annual average 2005-2013 Lithuania: Long-term annual average 2000-2014 Mexico: The long-term annual average covers 30 years Netherlands: Long-term annual average 1981-2010 New Zealand: Long-term annual average 1995-2014 Norway: The data for precipitation and evotranspiration refer to the period LTAA (long-term annual average) 1961-90 whereas the others to the period LTAA 1981-2010, that is why precipitation minus evotranspiration is different from internal resources. Poland: Long-term annual average 1951-2014. Estimates on the base of mean annual flow. For more information, see: http://www.kzgw.gov.pl/ , http://www.pgi.gov.pl/ , http://www.psh.gov.pl/ , http://www.imgw.pl/ Slovak Republic: Long-term annual average is 1961-1990 for internal resources, 1961-2000 for external inflow Slovenia: Long-term annual average is 1971-2000 Sweden: Long-term annual average : 1990-2009. The difference between precipitation and evapotranspiration refers to storage Switzerland: Long-term annual average : 1981-2010 Turkey: Long-term annual average: data for internal flow refers to the period 1980-2011 Costa Rica: The long-term annual average refers to 1990-2014 Russia: The long-term annual average refers to 1936-1980
    • أيار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيار, 2019
      تحديد مجموعة بيانات
      Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at:http://www.oecd.org/dataoecd/0/49/38356329.pdf. Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
    • آذار 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 أيار, 2018
      تحديد مجموعة بيانات
      Data include pension funds per the OECD classification by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data include plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. A full description of the OECD classification can be found at: http://www.oecd.org/dataoecd/0/49/38356329.pdf.  Pension funds include also some personal pension arrangements like the Individual Retirement Accounts (IRAs) in the United States as well as funds for government workers. The coverage of the statistics follows the regulatory and supervisory framework. All authorised pension funds are therefore normally covered by the Global Pension Statistics exercise. Assets pertaining to reserve funds in social security systems are excluded.
  • G
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      Consumer price indices (CPIs) measure inflation as price changes of a representative basket of goods and services typically purchased by households. The G20 CPI aggregate reflects national CPIs for all G20 countries that are not part of the European Union (EU) while it reflects the Harmonised Indices of Consumer Prices (HICP) for the EU, its Member States and for Turkey.   The G20 CPI has been calculated for the headline indicators only (CPI All items / HICP Total). It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year's relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs).
    • تشرين الأول 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Consumer price indices (CPIs) measure inflation as price changes of a representative basket of goods and services typically purchased by households. The G20 CPI aggregate reflects national CPIs for all G20 countries (with the exception of Turkey) that are not part of the European Union (EU) while it reflects the Harmonised Indices of Consumer Prices (HICP) for the EU, its Member States and for Turkey. It is an annual chain-linked Laspeyres-type index. The weights for each country in each link are based on the previous year’s relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs). The table presents the data for all non-EU countries. The HICP tables for France, Germany, Italy, the United Kingdom, and the euro area and European Union can be found under the HICP tables.
    • آذار 2019
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 آب, 2019
      تحديد مجموعة بيانات
      Data cited at: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2017 (GBD 2017) Health-related Sustainable Development Goals (SDG) Indicators 1990-2030. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors from 1990 to 2017. The United Nations established, in September 2015, the Sustainable Development Goals (SDGs), which specify 17 universal goals, 169 targets, and 232 indicators leading up to 2030. Drawing from GBD 2017, this dataset provides estimates on progress for 41 health-related SDG indicators for 195 countries and territories from 1990 to 2017, and projections, based on past trends, for 2018 to 2030. Estimates are also included for the health-related SDG index, a summary measure of overall performance across the health-related SDGs.
    • تشرين الثاني 2018
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a composite indicator of development status strongly correlated with health outcomes. It is the geometric mean of 0 to 1 indices of total fertility rate under the age of 25 (TFU25), mean education for those ages 15 and older (EDU15+), and lag distributed income (LDI) per capita. As a composite, a location with an SDI of 0 would have a theoretical minimum level of development relevant to health, while a location with an SDI of 1 would have a theoretical maximum level. This dataset provides tables with SDI values for all estimated GBD 2017 locations for 1950–2017 and groupings by location based on their 2017 values.
    • تشرين الأول 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • تشرين الأول 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Gender Statistics Publication: https://datacatalog.worldbank.org/dataset/gender-statistics License: http://creativecommons.org/licenses/by/4.0/
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
    • آذار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 آذار, 2019
      تحديد مجموعة بيانات
      This table provides information on the main relevant indicators. The data have mainly been supplied by the World Bank, and cover, where available: -Current Gross National Income (GNI) in US $ millions; -GNI per capita (US $); -Population; -Energy use as kilogram of oil per capita; -Average Life Expectancy of Adults; and -Adult Literacy Rate as a percentage of the country population. Data for Sudan include South Sudan, with the exception of total population, which is reported separately.
    • شباط 2018
      المصدر: German Chemicals Industry Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 نيسان, 2018
      تحديد مجموعة بيانات
      Chemistry facts and figures 2017: Investments
    • تشرين الأول 2015
      المصدر: HelpAge International
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2015
      تحديد مجموعة بيانات
      The aim of the Index is both to capture the multidimensional nature of the quality of life and wellbeing of older people, and to provide a means by which to measure performance and promote improvements. We have chosen 13 different indicators for the four key domains of Income security, Health status, Capability, and Enabling environment. Domain 1: Income security The income security domain assesses people's access to a sufficient amount of income, and the capacity to use it independently, in order to meet basic needs in older age. Domain 2: Health status The three indicators used for the health domain provide information about physical and psychological wellbeing. Domain 3: Capability The employment and education indicators in this domain look at different aspects of the empowerment of older people. Domain 4: Enabling environment This domain uses data from Gallup World View to assess older people's perception of social connectedness, safety, civic freedom and access to public transport - issues older people have singled out as particularly important.
    • آذار 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 آذار, 2018
      تحديد مجموعة بيانات
      This database contains statistics on production volume and value by species, country or area, fishing area and culture environment
    • كانون الأول 2018
      المصدر: TRACE International
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 كانون الثاني, 2019
      تحديد مجموعة بيانات
      'The TRACE Matrix measures business bribery risk in all countries. Developed in collaboration with RAND Corporation, the TRACE Matrix provides the business community with a powerful new tool for anti-bribery risk assessment. It assesses countries across four domains – Business Interactions with Government, Anti-bribery Laws and Enforcement, Government and Civil Service Transparency, and the Capacity for Civil Society Oversight, including the role of the media – as well as nine sub-domains. Business interactions with government includes the sub-domains of “contact with government,” “expectation of paying bribes” and “regulatory burden.” These indicators capture aspects of the “touches with government” that TRACE identified as very important for business bribery through regulatory and business interviews they conducted. Anti-corruption laws enacted by a country and information about enforcement of those laws. Government and civil service transparency, which includes indicators concerning whether government budgets are publicly available and whether there are regulations addressing conflicts of interest for civil servants. Information concerning the extent of press freedom and social development, both of which serve as indicators of a robust civil society that can provide government oversight. The overall country risk score is a combined and weighted score of four domains. For each of these four "domains" (and related sub-domains), the TRACE Matrix aggregates relevant data obtained from leading public interest and international organizations, including the United Nations, the World Bank and the World Economic Forum. Based on statistical analysis of this information, each country is assigned not only an overall score between 1 and 100—with 100 representing the greatest risk—but also scores for each of the four domains and nine sub-domains.'
    • آذار 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 نيسان, 2018
      تحديد مجموعة بيانات
      Contains the volume of fish catches landed by country or territory of capture, by species or a higher taxonomic level, by FAO major fishing areas, and year for all commercial, industrial, recreational and subsistence purpose
    • تشرين الثاني 2017
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تشرين الثاني, 2017
      تحديد مجموعة بيانات
      This database contains statistics on the annual production of fishery commodities and imports and exports of fishery commodities by country and commodities in terms of volume and value from 1976.
    • شباط 2019
      المصدر: DHL
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 نيسان, 2019
      تحديد مجموعة بيانات
      DHL released the fifth edition of the DHL Global Connectedness Index (GCI) – a detailed analysis of globalization, measured by international flows of trade, capital, information and people. The new GCI report represents the first comprehensive assessment of developments in globalization across 169 countries and territories since the Brexit referendum in the United Kingdom and the 2016 presidential election in the United States. In spite of growing anti-globalization tensions in many countries, connectedness reached an all-time high in 2017, as the flows of trade, capital, information and people across national borders all intensified significantly for the first time since 2007. Strong economic growth boosted international flows while key policy changes such as US tariff increases had not yet been implemented.
    • شباط 2017
      المصدر: Global Democracy Ranking
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 أيلول, 2017
      تحديد مجموعة بيانات
      The Democracy Ranking 2016 compares the development of quality of democracy in 112 countries during the years 2011-2012 with 2014-2015. It is based on the following dimensions: politics (weighted with 50%), economy (10%), ecology and environment (10%), gender equality (10%), health and health status (10%), and knowledge (10%). The possible values that a country can achieve go from 1 (minimum) to 100 (maximum) (the entire scale is thus 1-100). Rank change: + sign shows improvement in rank and - sign shows deterioration in rank
    • أيار 2019
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 أيلول, 2019
      تحديد مجموعة بيانات
      Research by the Global Burden of Disease Health Financing Collaborator Network produced retrospective national health spending estimates for 1995-2016 for 184 countries. The estimates cover total health spending, and health spending disaggregated by source into government spending, out-of-pocket, prepaid private, and development assistance for health. National health spending by source, including development assistance for health, was estimated based on a diverse set of data, including program reports, budget data, national estimates, and 964 National Health Accounts. The resulting estimates were used to help produce forecasted health spending estimates for 2015-2040. Results of the study were published in The Lancet in April 2017 in "Evolution and patterns of global health financing 1995–2016: development assistance for health, and government, prepaid private, and out-of-pocket health spending in 184 countries."
    • آب 2015
      المصدر: Grant Thornton
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2015
      تحديد مجموعة بيانات
      The Grant Thornton Global Dynamism Index (GDI) ranks 60 leading economies on their dynamism in five key areas – business operating environment, economics & growth, science & technology, labour & human capital and financing environment. The GDI analyses 22 indicators across these five categories to assess the dynamism of business growth environments around the world, where dynamism refers to the changes in an economy over the past 12 months which are likely to lead to a faster future rate of growth.
    • تشرين الأول 2018
      المصدر: United Nations Department of Economic and Social Affairs
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آذار, 2019
      تحديد مجموعة بيانات
      Project LINK is an international collaborative research group for econometric modelling, coordinated jointly by the Development Policy and Analysis Division of UN/DESA and the University of Toronto. Each year, a UN/DESA Expert Group Meeting on the World Economy, also known as the Project LINK Meeting, is held in October to discuss the world economic outlook. The meeting is participated in by a wide range of experts from academia, economic research institutions and international economic organizations as well as colleagues from the five regional commissions: Economic Commission for Africa (ECA), Economic Commission for Europe (ECE), Economic Commission for Latin America and the Caribbean (ECLAC), Economic and Social Commission for Asia and the Pacific (ESCAP) and Economic and Social Commission for Western Asia (ESCWA).
    • تموز 2019
      المصدر: International Energy Agency
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تموز, 2019
      تحديد مجموعة بيانات
    • كانون الأول 2018
      المصدر: Global Entrepreneurship Monitor
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 آذار, 2019
      تحديد مجموعة بيانات
      The GEM Adult Population Survey (APS) measures the level and nature of entrepreneurial activity around the world. It is administered to a representative national sample of at least 2000 respondents. The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.
    • نيسان 2019
      المصدر: Global Entrepreneurship Monitor
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 نيسان, 2019
      تحديد مجموعة بيانات
      Data cited at: GEM National Expert Survey The GEM National Expert Survey (NES) monitors the factors that are believed to have a significant impact on entrepreneurship, known as the Entrepreneurial Framework Conditions (EFCs). It is administered to a minimum of 36 carefully chosen 'experts' in each country. The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.
    • نيسان 2018
      المصدر: United Nations Statistics Division
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      Environmental Indicators disseminate global environment statistics on ten indicator themes compiled from a wide range of data sources. The themes and indicator tables were selected based on the current demands for international environmental statistics and the availability of internationally comparable data. Indicator tables, charts and maps with relatively good quality and coverage across countries, as well as links to other international sources, are provided under each theme. Statistics on Water and Waste are based on official statistics supplied by national statistical offices and/or ministries of environment (or equivalent institutions) in response to the biennial UNSD/UNEP Questionnaire on Environment Statistics, complemented with comparable statistics from OECD and Eurostat, and water resources data from FAO Aqua stat. Statistics on other themes were compiled by UNSD from other international sources. In a few cases, UNSD has made some calculations in order to derive the indicators. However, generally no adjustments have been made to the values received from the source. UNSD is not responsible for the quality, completeness/availability, and validity of the data. Environment statistics is still in an early stage of development in many countries, and data are often sparse. The indicators selected here are those of relatively good quality and geographic coverage. Information on data quality and comparability is given at the end of each table together with other important metadata.
    • أيار 2019
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 آب, 2019
      تحديد مجموعة بيانات
      Research by the Global Burden of Disease Health Financing Collaborator Network produced projected health spending estimates for 2017-2050 for 195 countries and territories. The estimates cover total health spending, and health spending disaggregated by source into three domestic financing source categories (government, out-of-pocket, and prepaid private) and development assistance for health (DAH). Retrospective health spending estimates for 1995-2016 and key covariates (including GDP per capita, total government spending, total fertility rate, and fraction of the population older than 65 years) were used to forecast GDP and health spending through 2050. Estimates are reported in constant 2018 US dollars, constant 2018 purchasing-power parity-adjusted (PPP) dollars, and as a percent of gross domestic product.
    • تشرين الأول 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Development Publication: https://datacatalog.worldbank.org/dataset/global-financial-development License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Development Database is an extensive dataset of financial system characteristics for 206 economies. The database includes measures of (1) size of financial institutions and markets (financial depth), (2) degree to which individuals can and do use financial services (access), (3) efficiency of financial intermediaries and markets in intermediating resources and facilitating financial transactions (efficiency), and (4) stability of financial institutions and markets (stability).For a complete description of the dataset and a discussion of the underlying literature, see: Martin Cihak; Asli Demirguc-Kunt; Erik Feyen; and Ross Levine, 2012. "Benchmarking Financial Systems Around the World." World Bank Policy Research Working Paper 6175, World Bank, Washington, D.C.
    • آذار 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 آذار, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Inclusion (Global Findex) Database Publication: https://datacatalog.worldbank.org/dataset/global-financial-inclusion-global-findex-database License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Inclusion Database provides 850+ country-level indicators of financial inclusion summarized for all adults and disaggregated by key demographic characteristics-gender, age, education, income, employment status and rural residence. Covering more than 140 economies, the indicators of financial inclusion measure how people save, borrow, make payments and manage risk. The reference citation for the data is: Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. World Bank: Washington, DC.
    • آذار 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 نيسان, 2018
      تحديد مجموعة بيانات
      Contains global production statistics (capture and aquaculture). This database contains the volume of aquatic species caught by country or area, by species items, by FAO major fishing areas, and year, for all commercial, industrial, recreational and subsistence purposes. The harvest from mariculture, aquaculture and other kinds of fish farming is also included
    • أيلول 2015
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الأول, 2015
      تحديد مجموعة بيانات
      DescriptionThe Global Forest Resources Assessment 2015 (FRA 2015) is the most comprehensive assessment of forests and forestry to date - not only in terms of the number of countries and people involved - but also in terms of scope. It examines the current status and recent trends for about 90 variables covering the extent, condition, uses and values of forests and other wooded land, with the aim of assessing all benefits from forest resources. Information has been collated from 233 countries and territories for four points in time: 1990, 2000, 2005 and 2010. The results are presented according to the seven thematic elements of sustainable forest management. FAO worked closely with countries and specialists in the design and implementation of FRA 2010 - through regular contact, expert consultations, training for national correspondents and ten regional and subregional workshops. More than 900 contributors were involved, including 178 officially nominated national correspondents and their teams. The outcome is better data, a transparent reporting process and enhanced national capacity in developing countries for data analysis and reporting. The final report of FRA 2010 was published at the start of the latest biennial meeting of the FAO' Committee on Forestry and World Forest Week, in Rome.
    • كانون الأول 2018
      المصدر: World Economic Forum
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 كانون الثاني, 2019
      تحديد مجموعة بيانات
       Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Gender Gap Report 2018 Publication URL: https://www.weforum.org/reports/the-global-gender-gap-report-2018 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   This dataset provides education and skills related indicators that present in Global Gender Gap Report
    • تشرين الثاني 2018
      المصدر: Emission Database for Global Atmospheric Research
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 شباط, 2019
      تحديد مجموعة بيانات
      Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2). Emissions are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics. Source: European Commission, Joint Research Centre (JRC)/PBL Netherlands Environmental Assessment Agency.
    • تشرين الأول 2017
      المصدر: Emission Database for Global Atmospheric Research
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 كانون الثاني, 2018
      تحديد مجموعة بيانات
      Emissions are calculated for the following substances: 1) Direct greenhouse gases: Carbon Dioxide (CO2), Methane (CH4), Nitrous Oxide (N2O), Hydrofluorocarbons (HFC-23, 32, 125, 134a, 143a, 152a, 227ea, 236fa, 245fa, 365mfc, 43-10-mee), Perfluorocarbons (PFCs: CF4, C2F6, C3F8, c-C4F8, C4F10, C5F12, C6F14, C7F16), Sulfur Hexafluoride (SF6), Nitrogen Trifluoride (NF3) and Sulfuryl Fluoride (SO2F2); 2) Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). 3) Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2). 4) Primary particulates: Fine Particulate Matter (PM10) - Carbonaceous speciation (BC , OC) is under progress. 5) Stratospheric Ozone Depleting Substances: Chlorofluorocarbons (CFC-11, 12, 113, 114, 115), Halons (1211, 1301, 2402), Hydrochlorofluorocarbons (HCFC-22, 124, 141b, 142b), Carbon Tetrachloride (CCl4), Methyl Bromide (CH3Br) and Methyl Chloroform (CH3CCl2). Emissions (EM) for a country C are calculated for each compound x on an annual basis (y) and sector wise (for i sectors, multiplying on the one hand the country-specific activity data (AD), quantifying the human activity for each of the i sectors, with the mix of j technologies (TECH) for each sector i, and with their abatement percentage by one of the k end-of-pipe (EOP) measures for each technology j, and on the other hand the country-specific emission factor (EF) for each sector i and technology j with relative reduction (RED) of the uncontrolled emission by installed abatement measure k. Emissions in are calculated by individual countries using country-specific information. The countries are organized in different world regions for illustration purposes. Emissions of some small countries are presented together with other countries depending on country definition and availability of activity statistics.
    • آذار 2019
      المصدر: World Health Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 آذار, 2019
      تحديد مجموعة بيانات
      Restrictions apply: https://www.who.int/publishing/openaccess/en/   Citation: Global Health Observatory (GHO) Data: https://www.who.int/gho/en/: World Health Organization; 2019. Licence: CC BY-NC-SA 3.0 IGO   The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.
    • تشرين الثاني 2018
      المصدر: International Telecommunication Union
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 كانون الثاني, 2019
      تحديد مجموعة بيانات
    • آب 2018
      المصدر: Internal Displacement Monitoring Centre
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 آب, 2018
      تحديد مجموعة بيانات
      Global Internal Displacement Database (GIDD) aims to provide comprehensive information on internal displacement worldwide. It covers all countries and territories for which IDMC has obtained data on situations of internal displacement, and provides data on situations of internal displacement associated with conflict and generalized violence (2014-2015), displacement associated with sudden-onset natural hazard-related disasters (2008-2015).
    • آب 2018
      المصدر: Material Flows
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 أيار, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: Oxford Poverty & Human Development Initiative
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 أيلول, 2019
      تحديد مجموعة بيانات
      The global Multidimensional Poverty Index (MPI) is an international measure of acute poverty covering over 100 developing countries. It complements traditional income-based poverty measures by capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards. The MPI assesses poverty at the individual level. If someone is deprived in a third or more of ten (weighted) indicators (see left), the global index identifies them as ‘MPI poor’, and the extent – or intensity – of their poverty is measured by the number of deprivations they are experiencing. The MPI can be used to create a comprehensive picture of people living in poverty, and permits comparisons both across countries, regions and the world and within countries by ethnic group, urban/rural location, as well as other key household and community characteristics. This makes it invaluable as an analytical tool to identify the most vulnerable people – the poorest among the poor, revealing poverty patterns within countries and over time, enabling policy makers to target resources and design policies more effectively. The global MPI was developed by OPHI with the UN Development Programme (UNDP) for inclusion in UNDP’s flagship Human Development Report in 2010. It has been published in the HDR ever since.    
    • حزيران 2018
      المصدر: Open Knowledge International
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 حزيران, 2018
      تحديد مجموعة بيانات
    • كانون الأول 2016
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تشرين الأول, 2018
      تحديد مجموعة بيانات
      GPSS data (Accounts & Access, retail payment transactions and RTGS transactions – volumes and values). The World Bank’s Global Payment Systems Survey (GPSS) surveys national and regional central banks and monetary authorities on the status of payment systems. The GPSS is the only global survey that combines quantitative and qualitative measures of payment system development and covers all aspects of national payment systems – from infrastructure and the legal and regulatory environment to technological and business model innovations, international remittances, and oversight framework. The GPSS aims to take an accurate snapshot of payment systems worldwide to obtain information on payment system reforms and the factors which hinder and/or facilitate them in order to help guide policy-dialogue at the international and national levels, and World Bank Group technical assistance. In April 2007, the World Bank launched the first Global Payment Systems Survey among national central banks to collect information on the situation of national payment and securities settlement systems worldwide and provide a payment systems snapshot of both advanced and emerging economies in order to identify main issues that should guide the agenda of authorities, multilateral and market players in the field over the next few years.
    • حزيران 2019
      المصدر: Institute for Economics and Peace
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 تموز, 2019
      تحديد مجموعة بيانات
      Data cited at: Institute for Economics and Peace The Global Peace Index 2019
    • أيار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 حزيران, 2019
      تحديد مجموعة بيانات
      Pension assets continued to rise in 2017, exceeding USD 40 trillion in the OECD area for the first time ever, with almost all countries showing positive investment results. This can be attributed to the strong investment performance of pension assets that benefitted from buoyant stock markets
    • تموز 2018
      المصدر: Jones Lang LaSalle
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 أيلول, 2018
      تحديد مجموعة بيانات
      The 2018 Global Real Estate Transparency Index covers 100 markets and is based on 186 indicators. These variables are divided into six areas –performance measurement, market fundamentals, governance of listed vehicles, regulatory & legal frameworks, transaction process and environmental sustainability.   Tier 1: Highly Transparent - Total Composite Score: 1.00–1.96 Tier 2: Transparent - Total Composite Score: 1.97–2.65 Tier 3: Semi-Transparent - Total Composite Score: 2.66–3.50 Tier 4: Low Transparency - Total Composite Score: 3.51–4.16 Tier 5: Opaque - Total Composite Score: 4.17–5.00
    • آذار 2018
      المصدر: A. T. Kearney
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 نيسان, 2018
      تحديد مجموعة بيانات
      The Global Retail Development Index™ is an annual study that ranks the top 30 developing countries for retail expansion worldwide. The Index analyzes 25 macroeconomic and retail-specific variables to help retailers devise successful global strategies and to identify developing market investment opportunities. The GRDI is unique because it identifies today's most successful markets and those that offer the most potential for the future.
    • كانون الأول 2018
      المصدر: World Health Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 كانون الثاني, 2019
      تحديد مجموعة بيانات
      Note: The dataset has been collected from "Global status report on road safety 2018".  For this report, 2018 data were used for the review of vehicle standards; 2017 data were used for the review of legislation, road standards and post-crash care; fatality estimates were based on data from 2016. The Global status report on road safety 2018, launched by WHO in December 2018, highlights that the number of annual road traffic deaths has reached 1.35 million. Road traffic injuries are now the leading killer of people aged 5-29 years. The burden is disproportionately borne by pedestrians, cyclists and motorcyclists, in particular those living in developing countries. The report suggests that the price paid for mobility is too high, especially because proven measures exist. These include strategies to address speed and drinking and driving, among other behaviors; safer infrastructure like dedicated lanes for cyclists and motorcyclists; improved vehicle standards such as those that mandate electronic stability control; and enhanced post-crash care. Drastic action is needed to put these measures in place to meet any future global target that might be set and save lives.
    • كانون الأول 2014
      المصدر: World Health Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 حزيران, 2018
      تحديد مجموعة بيانات
      The Global status report on violence prevention 2014, which reflects data from 133 countries, is the first report of its kind to assess national efforts to address interpersonal violence, namely child maltreatment, youth violence, intimate partner and sexual violence, and elder abuse. Jointly published by WHO, the United Nations Development Programme, and the United Nations Office on Drugs and Crime, the report reviews the current status of violence prevention efforts in countries, and calls for a scaling up of violence prevention programmes; stronger legislation and enforcement of laws relevant for violence prevention; and enhanced services for victims of violence.
    • كانون الثاني 2019
      المصدر: INSEAD
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 آذار, 2019
      تحديد مجموعة بيانات
      This data presents high-level way of mapping individual countries in terms of talent competitiveness consists of comparing their GTCI scores to their GDP per capita for the selected indicators.In its first year, the GTCI model covers 103 countries,representing 86.3% of the world’s population and 96.7% of the world’s GDP (in current US dollars).It is a simplified manner of acquiring a first assessment about the ways in which competitiveness relates to overall level of economic development of a nation.
    • أيار 2019
      المصدر: KPMG
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 حزيران, 2019
      تحديد مجموعة بيانات
      Covers data on corporate, indirect and individual income tax rates throughout 163 countries across the world during the period from 2006 to 2019. Provided by KPMG.
    • تشرين الثاني 2018
      المصدر: Institute for Economics and Peace
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 شباط, 2019
      تحديد مجموعة بيانات
      Data cited at: Institute for Economics and Peace   The Global Terrorism Index (GTI) is a comprehensive study which accounts for the direct and indirect impact of terrorism in 163 countries in terms of its effect on lives lost, injuries, property damage and the psychological aftereffects of terrorism. This study covers 99.6 per cent of the world’s population. It aggregates the most authoritative data source on terrorism today, the Global Terrorism Database (GTD) collated by the National Consortium for the Study of Terrorism and Responses to Terrorism (START) into a composite score in order to provide an ordinal ranking of nations on the negative impact of terrorism. The GTD is unique in that it consists of systematically and comprehensively coded data on domestic as well as international terrorist incidents and now includes more than 140,000 cases. Note: "Change in score values" have been calculated for 2015 by score in 2015 minus score in 2014 (Score_2015-Score_2014). For rest of the years according to source.
    • أيار 2018
      المصدر: World Health Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 كانون الأول, 2018
      تحديد مجموعة بيانات
      Global Trends in Prevalence of Tobacco Smoking 2000-2025
    • آب 2018
      المصدر: International Renewable Energy Agency
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 شباط, 2019
      تحديد مجموعة بيانات
    • كانون الأول 2014
      المصدر: World Wide Web Foundation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 نيسان, 2016
      تحديد مجموعة بيانات
      Data cited at: World Wide Web Foundation https://thewebindex.org/ Topic: Data, Web Index 2014 data Publication: https://thewebindex.org/data/?indicator=INDEX&country=ALL License: http://creativecommons.org/licenses/by/4.0/   The Web has changed our lives. But to harness its full benefit, we need to understand how countries and people use it, and its impact on on development and human rights. The Web Index, by the World Wide Web Foundation, tracks the Web’s contribution to social, economic and political progress across 86 countries. It ranks these nations across four pillars: Universal Access, Freedom and Openness, Empowerment and Relevant Content.
    • آذار 2017
      المصدر: International Youth Foundation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 كانون الأول, 2017
      تحديد مجموعة بيانات
      The Global Youth Wellbeing Index details the performance and provides comparative analysis of 30 countries in terms of overall youth wellbeing and within six domains. The Index is designed to facilitate both thought and action by elevating youth needs and opportunities and young people’s participation on national and global agendas. It also provides public and private sector decision-makers an easier way to understand the big picture, guide actions and investments, and drive progress over time.   Wellbeing is a multidimensional concept that includes a person’s physical and mental health, educational status, economic position, physical safety, access to freedoms, and ability to participate in civic life, all components have again multiple aspects. It is, in a sense, the abundance or scarcity of opportunities available to an individual. The definition of wellbeing and the indicators selected to create a picture of wellbeing draw upon the body of work measuring quality of life and economic and social progress as well as the discipline of positive youth development, which is a framework that builds on young people’s assets while still addressing their deficits. Scores for countries are on a scale of 0 to 1, and ranks are assigned based on the numeric scores from highest to lowest.
    • شباط 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 آب, 2019
      تحديد مجموعة بيانات
      This dataset shows indicators of trade balances as the following: - Normalized trade balance, - Trade balance as percentage of imports and, - Trade balance as percentage of nominal gross domestic product (GDP). Normalized trade balance (NTB) of goods and services is defined as the trade balance (total exports less total imports) divided by the total trade (exports plus imports).   NTB=(EX-IM)/EX+IM)
    • شباط 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 آب, 2019
      تحديد مجموعة بيانات
      This table shows exports, imports and sum/average of exports and imports as percentage of nominal gross domestic product (GDP). The indicators are calculated for trade in goods, trade in services and total trade in goods and services.
    • شباط 2017
      المصدر: National Institute of Statistics and Censuses, Costa Rica
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 أيار, 2017
      تحديد مجموعة بيانات
      National Accounts of Costa Rica
    • أيار 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset provides an overview of government operations and stock positions, as well as several derived balances. The Statement of Government Operations shows revenue and expense, with their main components, the operating balance and net lending/net borrowing, as well as financing. The Balance sheet shows stock positions in assets and liabilities, with their main components, as well as net worth and net financial worth. In addition, data on gross debt and net debt are included.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset presents trends in man-made emissions of major greenhouse gases and emissions by gas. Data refer to total emissions of CO2 (emissions from energy use and industrial processes, e.g. cement production), CH4 (methane emissions from solid waste, livestock, mining of hard coal and lignite, rice paddies, agriculture and leaks from natural gas pipelines), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF6) and nitrogen trifluoride (NF3). Data exclude indirect CO2.   Intensities (per unit of GDP and per capita) as well as index are calculated on gross direct emissions excluding emissions or removals from land-use, land-use change and forestry (LULUCF).   The GDP used to calculate intensities is expressed in USD at 2010 prices and PPPs.
    • كانون الثاني 2015
      المصدر: University of Groningen, Netherlands
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 شباط, 2016
      تحديد مجموعة بيانات
      The GGDC 10-Sector Database provides a long-run internationally comparable dataset on sectoral productivity performance in Asia, Europe, Latin America and the US. Variables covered in the data set are annual series of value added, output deflators, and persons employed for 10 broad sectors. It gives sectoral detail to the historical macro data in Maddison (2003) from 1950 onwards. It consists of series for 10 countries in Asia, 9 in Latin-America and 9 in Europe and the US. The data for Asia and Latin-America are based on Marcel P. Timmer and Gaaitzen J. de Vries (2007), 'A Cross-Country Database For Sectoral Employment And Productivity In Asia And Latin America, 1950-2005', GGDC Research memorandum GD-98, Groningen Growth and Development Centre, August 2007. Data for Europe and the US is based on an update of Bart van Ark (1996), Sectoral Growth Accounting and Structural Change in Post-War Europe, in B. van Ark and N.F.R. Crafts, eds., Quantitative Aspects of Post-War European Economic Growth, CEPR/Cambridge University Press, pp. 84-164. All series derived from this database need to be referred to as: "Timmer, Marcel P. and Gaaitzen J. de Vries (2009), "Structural Change and Growth Accelerations in Asia and Latin America: A New Sectoral Data Set" Cliometrica, vol 3 (issue 2) pp. 165-190."
    • تشرين الأول 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تشرين الأول, 2019
      تحديد مجموعة بيانات
      National accounts are a coherent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. The data presented in this collection are the results of a pilot exercise on the sharing selected main GDP aggregates, population and employment data collected by different international organisations. It wasconducted by the Task Force in International Data Collection (TFIDC) which was established by the  Inter-Agency Group on Economic and Financial Statistics (IAG).  The goal of this pilot is to develop a set of commonly shared principles and working arrangements for data cooperation that could be implemented by the international agencies. The data sets are an experimental exercise to present national accounts data form various countries across the globe in one coherent folder, but users should be aware that these data are collected and validated by different organisations and not fully harmonised from a methodological point of view.  The domain consists of the following collections:
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 آب, 2019
      تحديد مجموعة بيانات
      Productivity is a key driver of economic growth and changes in living standards. Labour productivity growth implies a higher level of output for unit of labour input (hours worked or persons employed). This can be achieved if more capital is used in production or through improved overall efficiency with which labour and capital are used together, i.e., higher multifactor productivity growth (MFP). Productivity is also a key driver of international competitiveness, e.g. as measured by Unit Labour Costs (ULC).   The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the sources databases. However, some time lag may arise which affects individual series and/or countries for two reasons: first, hours worked data from the OECD Employment Outlook are typically updated less frequently than the OECD Annual National Accounts Database; second, source data for capital services are typically available in annual national accounts later than source data for labour productivity and ULCs.   Note to users: The OECD Productivity Database accounts for the methodological changes in national accounts' statistics, such as the implementation of the System of National Accounts 2008 (2008 SNA) and the implementation of the international industrial classification ISIC Rev.4. These changes had an impact on output, labour and capital measurement. For Chile, China, Colombia, India, Japan, Turkey and the Russian Federation the indicators are in line with the System of National Accounts 1993 (1993 SNA); for all other countries, the indicators presented are based on the 2008 SNA
    • تشرين الأول 2015
      المصدر: bq magazine
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 نيسان, 2016
      تحديد مجموعة بيانات
      Gulf Dataset 2015 includes below Topics. 1. The Arab World Online 2014: Trends in Internet and Mobile Usage in the Arab Region http://img.b8cdn.com/images/uploads/article_docs/en_gip-mbrsg_bayt_internet_final_20422_EN.pdf 2. Just Falafel Index 2015: Given the popularity and convenience of the Big Mac Index by The Economist, bqdoha.com devised a similar, but more local, solution/version for currency valuation. http://www.bq-magazine.com/magazine-content/2015/01/just-falafel-index 3. CO2 emissions in GCC countries 2014 http://www.bq-magazine.com/gcc-illustrated/2014/08/co2-emissions-gcc-countries 4. Satisfaction with access to quality healthcare in the GCC http://www.bq-magazine.com/gcc-illustrated/2014/07/healthcare-access-gcc
  • H
    • أيلول 2019
      المصدر: Department of Business, Economic Development & Tourism, State of Hawaii
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2017
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 تشرين الثاني, 2017
      تحديد مجموعة بيانات
      Cancer follow up has been given for the range of 5 years. The highest range has been considered as for this period, for example 1995-2000 is considered as 2000.
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 آب, 2019
      تحديد مجموعة بيانات
      OECD Health Data 2016 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      OECD Health Data 2017 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.B1:B4
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تموز, 2019
      تحديد مجموعة بيانات
      OECD Health Data 2017 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 آب, 2019
      تحديد مجموعة بيانات
      OECD Health Data 2015 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse healthcare systems.
    • أيلول 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 أيلول, 2019
      تحديد مجموعة بيانات
      Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      OECD Health Data 2016 offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
    • كانون الأول 2018
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 كانون الأول, 2018
      تحديد مجموعة بيانات
      Global Burden of Disease Study 2016 (GBD 2016) Healthcare Access and Quality Index Based on Amenable Mortality 1990–2016. Global Burden of Disease Study 2016 (GBD 2016) estimates were used in an analysis of personal healthcare access and quality for 195 countries and territories, as well as selected subnational locations, over time. This dataset includes the following global, regional, national, and selected subnational estimates for 1990-2016: age-standardized risk-standardized death rates from 24 non-cancer causes considered amenable to healthcare; age-standardized mortality-to-incidence ratios for 8 cancers considered amenable to healthcare; and the Healthcare Access and Quality (HAQ) Index and individual scores for each of the 32 causes on a scale of 0 to 100. Code used to produce the estimates is also included. Results were published in The Lancet in May 2018 in "Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016
    • تشرين الثاني 2016
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 أيار, 2017
      تحديد مجموعة بيانات
      The Historical Public Debt Database contains unbalanced panel data on Gross Domestic Product, Gross Government Debt, and Gross Government Debt-to-GDP Ratio for 187 countries. The series spans the years 1800 through 2015 although each country’s data depends on its date of independence and data availability. The database was constructed by bringing together a number of other datasets and information from original sources. For the most recent years, the data are linked to the IMF World Economic Outlook (WEO) database to facilitate regular updates.
    • آذار 2017
      المصدر: Ministry of Statistics and Programme Implementation, India
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 أيلول, 2017
      تحديد مجموعة بيانات
      Horticulture - Area, Production and Productivity Statistics, 2016 Note : This dataset covers the Area, Production and Productivity Statistics of Crops. Data refers to market year, for example data for 2001-02 market year is uploaded as data for 2002
    • أيلول 2019
      المصدر: Statistics Netherlands
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 أيلول, 2019
      تحديد مجموعة بيانات
      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Hotels; guests, overnight stays, country of residence, region https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=82061eng&_theme=1026 License: http://creativecommons.org/licenses/by/4.0/   This table presents an overview of the number of guests and their overnight stays in the Netherlands in all hotels, motels, boarding houses, apartments with hotel services, youth accommodation and bed & breakfasts with at least 5 sleeping places. The figures can be broken down by country of origin of the guests (country of residence), parts of the country, provinces, tourist parts of the country and 5 major cities. Data available from: 2012 Status of the figures: The figures for the most recent reporting year 2018 are provisional. The figures until 2017 are final. Changes as of 9 January 2019: Figures for October 2018 have been added. The table now contains separate figures for the municipality of Haarlemmermeer. When will new figures be published? Figures of a new month become available within three months after the end of that month, these are provisional figures. The figures for the complete year are revised one month after publication of the December figures, these are revised provisional figures. Two months later definite figures will be published.
    • آب 2018
      المصدر: United Nations Development Programme
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 كانون الأول, 2018
      تحديد مجموعة بيانات
      The Human Development Index (HDI) is a summary measure of achievements in three key dimensions of human development: a long and healthy life, access to knowledge and a decent standard of living. The HDI is the geometric mean of normalized indices for each of the the three dimensions.
  • I
    • تموز 2018
      المصدر: International Centre for Tax and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 أيار, 2019
      تحديد مجموعة بيانات
      Data cited at: ICTD/UNU-WIDER, ‘Government Revenue Dataset’, 2018, https://www.wider.unu.edu/project/government-revenue-dataset' ICTD Government Revenue Dataset, 2018 A major obstacle to cross-country research on the role of revenue and taxation in development has been the weakness of available data. Government Revenue Dataset (GRD), developed through the International Centre for Tax and Development (ICTD), is aimed at overcoming this obstacle. It meticulously combines data from several major international databases, as well as drawing on data compiled from all available International Monetary Fund (IMF) Article IV reports. It achieves marked improvements in data coverage and accuracy, including a standardized approach to revenue from natural resources, and holds the promise of significant improvement in the credibility and robustness of research in this area. Dataset contains Central, General and merged government revenue data reported as % of GDP.
    • كانون الأول 2018
      المصدر: Islamic Development Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 آذار, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2016
      المصدر: International Energy Agency
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 آذار, 2017
      تحديد مجموعة بيانات
      The annual World Energy Outlook (WEO) is the world’s most authoritative source of energy market analysis and projections, providing critical analytical insights into trends in energy demand and supply and what they mean for energy security, environmental protection and economic development. The WEO projections are used by the public and private sector as a framework on which they can base their policy-making, planning and investment decisions and to identify what needs to be done to arrive at a supportable and sustainable energy future.
    • شباط 2011
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تحديد مجموعة بيانات
      IHME results from paper, Neonatal, post neonatal, childhood, and under-5 mortality for 187 countries, 1970-2010: a systematic analysis of progress towards Millennium Development Goal 4, published online in The Lancet on May 24 2010. This dataset provides estimates of neonatal, post neonatal, childhood, and under-5 mortality for 187 countries between 1970 and 2010.
    • تموز 2017
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2017
      تحديد مجموعة بيانات
      Covering 187 countries including most low-income countries, the toolkit provides indicators on export product diversification and export product quality from 1962-2010. The measures in this toolkit are based on an updated version of the UN–NBER dataset, which harmonizes COMTRADE bilateral trade flow data at the 4-digit SITC (Rev. 1) level. The export diversification and quality database was developed by IMF staff under an IMF-DFID research collaboration. The Export Diversification Database has three main indicators: the Export Diversification Index, the Extensive Margin, and the Intensive Margin. Higher values for the all three indices indicate lower diversification. The Export Quality Database contains export quality measures across different aggregation levels of export products. Higher values for the quality indices indicate higher quality levels.
    • تموز 2015
      المصدر: National Institute of Statistics, Honduras
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 حزيران, 2016
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Petroleum Association of Japan
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 نيسان, 2019
      تحديد مجموعة بيانات
      Monthly data on Oil Products Imports (by country) in Japan.  
    • تشرين الثاني 2018
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الثاني, 2018
      تحديد مجموعة بيانات
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • شباط 2019
      المصدر: Heritage Foundation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 شباط, 2019
      تحديد مجموعة بيانات
      Data cited at: Heritage Foundation   Economic freedom is the fundamental right of every human to control his or her own labor and property. In an economically free society, individuals are free to work, produce, consume, and invest in any way they please, with that freedom both protected by the state and unconstrained by the state. In economically free societies, governments allow labor, capital and goods to move freely, and refrain from coercion or constraint of liberty beyond the extent necessary to protect and maintain liberty itself. Economic Freedom Scores: Range and level of freedom 80–100:- Free 70–79.9:- Mostly Free 60–69.9:- Moderately Free 50–59.9:- Mostly Unfree 0–49.9:- Repressed
    • أيلول 2018
      المصدر: Ministry of Statistics and Programme Implementation, India
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      This dataset covers Value of Imports of Merchandise Into India By Principal Countries of Consignment and Value of Exports of Merchandise (Indian Produce And Manufactures) From India by Principal Countries of Destination. In addition, it has Summary Merchandise Trade By Revised Economic Regions. Note: FY2000-01 referred as 2001. Total Imports/exports includes other countries also.
    • كانون الثاني 2019
      المصدر: Coffee Board of India
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: Ministry of Finance, India
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تموز, 2019
      تحديد مجموعة بيانات
      The dataset provides the data on the direction of imports and exports by regions and Countries in Crore rupees and Million U.S, dollars   India's Economic Survey: Direction of Trade, 2018-19
    • آذار 2018
      المصدر: Reserve Bank of India
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تموز, 2018
      تحديد مجموعة بيانات
      Note : Data for 2016-17 are revised and for 2017-18 are provisional.
    • تشرين الأول 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country or geographical area, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises industrial countries' effective exchange rates. It is produced by the European Commission (DG ECFIN).
    • تشرين الأول 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country or geographical area, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises industrial countries' effective exchange rates. It is produced by the European Commission (DG ECFIN).
    • تشرين الأول 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Nominal effective series measure changes in the value of a currency against a trade-weighted basket of currencies. A rise in the index means a strengthening of the currency. Real effective series are a measure of the change in competitiveness of a country or geographical area, by taking into account the change in costs or prices relative to other countries. A rise in the index means a loss of competitiveness. The collection comprises industrial countries' effective exchange rates. It is produced by the European Commission (DG ECFIN).
    • نيسان 2019
      المصدر: United Nations Industrial Development Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 أيار, 2019
      تحديد مجموعة بيانات
      Industrial Statistics Database, INDSTAT 2 2019, ISIC Revision 3 (Demo)
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data source(s) used The inland fisheries data collection is part of the more comprehensive data gathering carried out on an annual basis by the Fisheries Committee (COFI) of the Trade and Agriculture Directorate (TAD) from OECD members and participating non-OECD economies. Data on marine landings, aquaculture production, inland fisheries catch, fleet, employment, total allowable catch (TAC) and fisheries support estimate (FSE) are collected from Fisheries Ministries, National Statistics Offices and other institutions designated as an official data source. The surveys used for this exercise are the OECD Fisheries questionnaires.   Data are collected in tonnes and national currency at current values. For analytical purposes and data comparisons, value data are converted and published also in US dollars. Exchange rates are average yearly spot rates, taken from the dataset OECD Economic Outlook: Statistics and Projections. Data reported in this dataset are expressed in tonnes, in units of national currency and in US dollars. Data are recorded on a landed weight basis, i.e. the mass (or weight) of a product at the time of landing, regardless of the state in which is landed (i.e. whole, gutted, filleted, meal, etc.). For exceptions, please see the individual notes. Statistical population The statistical population is the set of countries participating in the work of the COFI, i.e. OECD members, excluding landlocked countries, with some exceptions (Czech Republic and Slovakia are included, Israel is not). The group includes also the following partner countries: Argentina, China, Colombia, Costa Rica, Indonesia, Lithuania, Peru, Philippines, Thailand and Chinese Taipei. In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at OECD Ratification Dates. Key statistical concept Inland fisheries include catches of fish, crustaceans, molluscs and other aquatic invertebrates (and animals), residues and seaweeds in lakes, rivers, ponds, inland canals and other land-locked water bodies. For the purpose of this questionnaire the boundary between inland and marine areas at the river mouth is left to the discretion of the national authority. Production from aquaculture installations should not be reported on this form. However, catches from fisheries that are managed by stocking should be included. The methodological reference document for fisheries and aquaculture statistics is the CWP Handbook of Fishery Statistics.
    • أيار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 أيار, 2019
      تحديد مجموعة بيانات
      These data are part of a larger database, hosted on a different website, which includes both quantitative and qualitative data, as well as graphs.
    • تشرين الأول 2018
      المصدر: U.S. Department of Agriculture
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2018
      تحديد مجموعة بيانات
      Improving agricultural productivity has been the world's primary means of assuring that the needs of a growing population don't outstrip the ability of humanity to supply food. Over the past 50 years, productivity growth in agriculture has allowed food to become more abundant and cheaper (see Growth in Global Agricultural Productivity: An Update, Amber Waves, November 2013, and New Evidence Points to Robust But Uneven Productivity Growth in Global Agriculture, Amber Waves, September 2012). A broad concept of agricultural productivity is total factor productivity (TFP). TFP takes into account all of the land, labor, capital, and material resources employed in farm production and compares them with the total amount of crop and livestock output. If total output is growing faster than total inputs, we call this an improvement in total factor productivity ("factor" = input). TFP differs from measures like crop yield per acre or agricultural value-added per worker because it takes into account a broader set of inputs used in production. TFP encompasses the average productivity of all of these inputs employed in the production of all crop and livestock commodities. "Growth accounting" provides a practicable way of measuring changes in agricultural TFP across a broad set of countries and regions, and for the world as a whole, given limited international data on production outputs, inputs, and their economic values. The approach (described in detail in Documentation and Methods) gives agricultural TFP growth rates, but not TFP levels, across the countries and regions of the world in a consistent, comparable way. Most of the data for the analysis comes from FAOSTAT. In some cases Food and Agriculture Organization (FAO) input and output data are supplemented with data from national statistical sources. Note: To facilitate international comparisons, certain simplifying assumptions must be made, and as such the estimates of TFP growth reported here may not be exactly the same as TFP growth estimates reported in other studies using different assumptions or methods. In particular, our TFP estimates for the United States differ slightly from those reported in ERS' Agricultural Productivity in the U.S. data product.
    • تشرين الأول 2019
      المصدر: International Aluminium Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Definitions: Primary aluminium is aluminium tapped from electrolytic cells or pots during the electrolytic reduction of metallurgical alumina (aluminium oxide). It thus excludes alloying additives and recycled aluminium. Primary aluminium production is defined as the quantity of primary aluminium produced in a defined period. It is the quantity of molten or liquid metal tapped from the pots and that is weighed before transfer to a holding furnace or before further processing. Source of Data: The data included in this IAI Statistical Report have been derived from voluntary reports of IAI Member and non-Member companies. Sources outside the industry or estimates are used for "Estimated Unreported" and "China" regions only. Data Aggregation: The IAI Statistical System is designed to meet the requirement that, in general, individual company data be included only within appropriately aggregated totals by declared geographical areas and not be reported separately. The declared geographical areas and the primary aluminium producing countries which fall in those areas are as follows: Africa: Cameroon, Egypt (12/1975-Present), Ghana, Mozambique (7/2000-Present), Nigeria (10/1997-Present), South Africa Asia (ex China): Azerbaijan*, Bahrain (1/1973-12/2009), India, Indonesia* (1/1973-12/1978), Indonesia (1/1979-Present), Iran (1/1973-6/1987), Iran*, Iran* (7/1987-12/1991), Iran (1/1992-12/1996), Japan, Kazakhstan (10/2007-Present), Malaysia*, North Korea*, Oman (6/2008-12/2009), Qatar (11/2009-12/2009), South Korea (1/1973-12/1992), Tadzhikistan* (1/1973-12/1996), Tadzhikistan (1/1997-Present), Taiwan (1/1973-4/1982), Turkey* (1/1975-2/1976), Turkey (3/1976-Present), United Arab Emirates (11/1979-12/2009) China: China (01/1999-present) Gulf Cooperation Council (GCC): Bahrain (1/2010-Present), Oman (1/2010-Present), Qatar (1/2010-Present), Saudi Arabia (1/2013), United Arab Emirates (1/2010-Present) North America: Canada, United States of America South America: Argentina, Brazil, Mexico (1/1973-12/2003), Suriname (1/1973-7/2001), Venezuela West Europe: Austria (1/1973-10/1992), France, Germany, Greece, Iceland, Italy, Netherlands, Norway, Spain, Sweden, Switzerland (1/1973-4/2006), United Kingdom East & Central Europe: Bosnia and Herzegovina* (1/1981-Present), Croatia*, German Democratic Republic* (1/1973-8/1990), Hungary* (1/1973-6/1991), Hungary (7/1991-1/2006), Hungary (7/1991-1/2006), Montenegro (6/2006-Present), Poland*, Romania*, Russian Federation* (1/1973-8/1994), Russian Federation (9/1994-Present), Serbia and Montenegro* (1/1973-12/1996), Serbia and Montenegro (1/1997-5/2006), Slovakia* (1/1975-12/1995), Slovakia (1/1996-Present), Slovenia* (1/1973-12/1995), Slovenia (1/1996-Present), Ukraine* (1/1973-12/1995), Ukraine (1/1996-Present) Oceania: Australia, New Zealand An asterisk indicates that primary aluminium production data were not reported to the IAI by the company or companies producing primary aluminium solely within that country; these constitute "Estimated Unreported", where data is available.
    • تموز 2014
      المصدر: Lesotho Tourism Development Corporation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 نيسان, 2016
      تحديد مجموعة بيانات
      This report is a regular publication of the Lesotho Tourism Development Corporation that aims to provide trends for international arrivals to Lesotho and presents the analysis of international tourists’ arrivals to Lesotho.The analysis of International visitor arrivals to Lesotho includes; total number of arrivals to Lesotho recorded from 10 ports in a year and month, purpose of visit, mode of transport to Lesotho, how long visitors stay and country of residence. The data presented in this report was gathered from 10 ports of entry namely, Caledon’spoort, Moshoeshoe I International Airport, Vanroyeen’s Gate, Maputsoe Bridge, Sani Pass Border Post, Peka Bridge, Tele Bridge, Makhaleng Bridge, Qacha’s Nek Bridge and Maseru Bridge.
    • أيار 2019
      المصدر: Federal Aviation Administration
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 حزيران, 2019
      تحديد مجموعة بيانات
      Under the International Aviation Safety Assessment (IASA) program, the FAA determines whether another country’s oversight of its air carriers that operate, or seek to operate, into the U.S., or codeshare with a U.S. air carrier, complies with safety standards established by the International Civil Aviation Organization (ICAO). The IASA program is administered by the FAA Associate Administrator for Aviation Safety (AVS), Flight Standards Service (AFS), International Programs and Policy Division (AFS-50).   The FAA has established two ratings for the status of countries at the time of the assessment: Does comply with ICAO standards, and Does not comply with ICAO standards. They are defined as follows:Category 1, Does Comply with ICAO Standards: A country's civil aviation authority has been assessed by FAA inspectors and has been found to license and oversee air carriers in accordance with ICAO aviation safety standards.Category 0, Does Not Comply with ICAO Standards: The Federal Aviation Administration assessed this country's civil aviation authority (CAA) and determined that it does not provide safety oversight of its air carrier operators in accordance with the minimum safety oversight standards established by the International Civil Aviation Organization (ICAO). This rating is applied if one or more of the following deficiencies are identified:the country lacks laws or regulations necessary to support the certification and oversight of air carriers in accordance with minimum international standards;the CAA lacks the technical expertise, resources, and organization to license or oversee air carrier operations;the CAA does not have adequately trained and qualified technical personnel;the CAA does not provide adequate inspector guidance to ensure enforcement of, and compliance with, minimum international standards;  ANDthe CAA has insufficient documentation and records of certification and inadequate continuing oversight and surveillance of air carrier operations. This category consists of two groups of countries.One group are countries that have air carriers with existing operations to the United States at the time of the assessment. While in Category 2 status, carriers from these countries will be permitted to continue operations at current levels under heightened FAA surveillance. Expansion or changes in services to the United States by such carriers are not permitted while in category 2, although new services will be permitted if operated using aircraft wet-leased from a duly authorized and properly supervised U.S. carrier or a foreign air carrier from a category 1 country that is authorized to serve the United States using its own aircraft.The second group are countries that do not have air carriers with existing operations to the United States at the time of the assessment. Carriers from these countries will not be permitted to commence service to the United States while in Category 2 status, although they may conduct services if operated using aircraft wet-leased from a duly authorized and properly supervised U.S. carrier or a foreign air carrier from a Category 1 country that is authorized to serve the United States with its own aircraft. No other difference is made between these two groups of countries while in a category 2 status.
    • كانون الأول 2015
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 آذار, 2016
      تحديد مجموعة بيانات
      Purchasing Power Parities and the Real Size of World Economies. A Comprehensive Report of the 2011 International Comparison Program
    • حزيران 2018
      المصدر: Barro-Lee
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 كانون الأول, 2018
      تحديد مجموعة بيانات
      Data cited at: Barro-Lee   The Barro-Lee Data set (2010) extends their previous estimates from 1950 to 2010, and provide more, improved data disaggregated by sex and and by 5-year age intervals. It provides educational attainment data for 146 countries in 5-year intervals from 1950 to 2010 as well as information about the distribution of educational attainment of the adult population over age 15 and over age 25 by sex at seven levels of schooling. Average years of schooling at all levels are also measured for each country and for regions in the world. Note: Cited at Barro, Robert and Jong-Wha Lee, April 2010, "A New Data Set of Educational Attainment in the World, 1950-2010." NBER Working Paper No. 15902
    • تشرين الأول 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: International Debt Statistics Publication: https://datacatalog.worldbank.org/dataset/international-debt-statistics License: http://creativecommons.org/licenses/by/4.0/   Focuses on financial flows, trends in external debt, and other major financial indicators for low- and middle-income countries. Includes over 200 time series indicators from 1970 to 2016, for most reporting countries, and pipeline data for scheduled debt service payments on existing commitments to 2024. Note: Total reserves in months of imports=(Total reserves/Total Imports)*12
    • تشرين الأول 2019
      المصدر: U.S. Energy Information Administration
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • تموز 2018
      المصدر: U.S. Energy Information Administration
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 أيلول, 2018
      تحديد مجموعة بيانات
      IEO2018 focuses on macroeconomic uncertainty by conducting sensitivity analyses in three IEO regions: China, India, and Africa. These are projected to be three of the fastest growing and most populous regions in the IEO2018 Reference case, and there is significant uncertainty regarding their future economic growth.
    • كانون الأول 2018
      المصدر: U.S. Department of Agriculture
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 كانون الأول, 2018
      تحديد مجموعة بيانات
      The International Macroeconomic Data Set provides historical and projected data for 189 countries that account for more than 99 percent of the world economy. These macroeconomic data and projections are assembled explicitly to serve as underlying assumptions for the annually updated USDA agricultural supply and demand projections, which provide a 10-year outlook on U.S. and global agriculture. The macroeconomic projections describe the long-term scenario that is used as a benchmark for analyzing the impacts of alternative scenarios and macroeconomic shocks.  The projections assume there are no changes in policy and abstract from business cycle effects.  Historical data are available for real (inflation-adjusted) gross domestic product (GDP), inflation, population, and real exchange rates from 1969 to the most recent available year, and each variable is projected forward to 2030.
    • أيلول 2019
      المصدر: Statistics Botswana
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at: https://botswana.opendataforafrica.org/BWCSOIMTSR2016
    • آب 2019
      المصدر: United Nations Department of Economic and Social Affairs
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 أيلول, 2019
      تحديد مجموعة بيانات
      The estimates are based on official statistics on the foreign-born or the foreign population, classified by sex, and age. Most of the statistics utilised to estimate the international migrant stock were obtained from population censuses. Additionally, population registers and nationally representative surveys provided information on the number and composition of international migrants. The designations employed and the material in this publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory or area or its authorities, or concerning the delimitation of its frontiers or boundaries. The term “country” as used in this publication also refers, as appropriate, to territories or areas. The names and composition of geographical areas follow those presented in “Standard country or area codes for statistical use” (ST/ESA/STAT/SER.M/49/Rev.3), available at http://unstats.un.org/unsd/methods/m49/m49.htm.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Most of the data published in this database are taken from the individual contributions of national correspondents appointed by the OECD Secretariat with the approval of the authorities of Member countries. Consequently, these data have not necessarily been harmonised at international level. This network of correspondents, constituting the Continuous Reporting System on Migration (SOPEMI), covers most OECD Member countries as well as the Baltic States, Bulgaria and Romania. SOPEMI has no authority to impose changes in data collection procedures. It is an observatory which, by its very nature, has to use existing statistics. However, it does play an active role in suggesting what it considers to be essential improvements in data collection and makes every effort to present consistent and well-documented statistics.
    • آب 2018
      المصدر: Property Rights Alliance
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 أيلول, 2018
      تحديد مجموعة بيانات
      The 2018 International Property Rights Index, now in its twelve edition, offers a unique and original perspective on the correlations between the societies and economies of 125 countries accounting for 98% of world GDP, and 93% of the world’s population. The Index, during all these years, confirm that there is a direct correlation between property rights and different dimensions of economic development. Note: Only parent indicators present in 2018 report. Other indicators are collected from historical reports.
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Data Template on International Reserves and Foreign Currency Liquidity is an innovative single framework that integrates the concept of international reserves and foreign currency liquidity by covering data on on-balance-sheet and off-balance-sheet international financial activities of country authorities as well as supplementary information. It aims to provide a comprehensive account of official foreign currency assets and drains on such resources arising from various foreign/domestic currency liabilities and commitments of the authorities.
    • حزيران 2013
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تموز, 2013
      تحديد مجموعة بيانات
      Time series on international reserves (including gold), by individual country, expressed in millions of dollars. It further presents the number of months of merchandise imports that these reserves could finance at current imports level, as well as annual changes in total reserves.
    • تشرين الأول 2019
      المصدر: Baker Hughes
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
      data cited at: Baker Hughes Rig Count Rotary Rig:  A rotary rig rotates the drill pipe from surface to drill a new well (or sidetracking an existing one) to explore for, develop and produce oil or natural gas. The Baker Hughes Rotary Rig count includes only those rigs that are significant consumers of oilfield services and supplies and does not include cable tool rigs, very small truck mounted rigs or rigs that can operate without a permit. Non-rotary rigs may be included in the count based on how they are employed. For example, coiled tubing and workover rigs employed in drilling new wells are included in the count.
    • حزيران 2017
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 تشرين الأول, 2018
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: ESCAP-World Bank: International Trade Costs Publication: https://datacatalog.worldbank.org/dataset/escap-world-bank-international-trade-costs License: http://creativecommons.org/licenses/by/4.0/   The Trade Costs Dataset provides estimates of bilateral trade costs in agriculture and manufactured goods for the 1995-2015 period. It is built on trade and production data collected in 178 countries. Symmetric bilateral trade costs are computed using the Inverse Gravity Framework (Nov. 2009), which estimates trade costs for each country pair using bilateral trade and gross national output. Trade costs are available for two sectors: trade in manufactured goods, and agriculture. Energy is excluded.
    • آب 2018
      المصدر: German Chemicals Industry Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 كانون الثاني, 2019
      تحديد مجموعة بيانات
      Report: International Trade, Germany, 2018 Source Table Details: Page : From 119 to 172 Table : From 60a to 70
    • تشرين الثاني 2018
      المصدر: Statistics Netherlands
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      This table contains a time series with figures on international trade. In this table the Dutch import and export value is broken down into commodity categories (SITC sections), continents and a number of countries. Data available: from 1917. Status of the figures: In this table all figures are final. Changes as of November 14, 2018: None, this is a new table. When will new figures be published? The final annual figures will be published in the fourth quarter following the reporting year.
    • أيلول 2019
      المصدر: U.S. Department of Commerce, Bureau of Economic Analysis
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 أيلول, 2019
      تحديد مجموعة بيانات
    • شباط 2019
      المصدر: U.S. Federal Bureau of Investigation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 أيار, 2019
      تحديد مجموعة بيانات
      The mission of the Internet Crime Complaint Center (IC3) is to provide the public with a reliable and convenient reporting mechanism to submit information to the FBI concerning suspected Internet-facilitated criminal activity and to develop effective alliances with industry partners. Information is processed for investigative and intelligence purposes for law enforcement and public awareness.
    • حزيران 2019
      المصدر: Internet World Stats
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 أيلول, 2019
      تحديد مجموعة بيانات
      Data cited at: Internet World Stats  Internet World Stats is an International website that features up to date world Internet Usage, Population Statistics, Travel Stats and Internet Market Research Data, for over 233 individual countries and world regions.
    • شباط 2018
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 آب, 2018
      تحديد مجموعة بيانات
      Internet users are individuals who have used the Internet (from any location) in the last 3 months. The Internet can be used via a computer, mobile phone, personal digital assistant, games machine, digital TV etc.
    • أيلول 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 حزيران, 2019
      تحديد مجموعة بيانات
      The FAO Statistics Division has compiled an updated dataset series of capital stock in Agriculture from 1975-2007 using 2005 constant prices as the base year. The dataset on capital stock in agriculture are important for analyzing a number of policy issues related to sustainable growth of agriculture and achieving food security.
    • تشرين الأول 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data are collected directly from countries using a FAO questionnaire, which was developed in partnership with the International Monetary Fund, as the IMF collects global data on government expenditures and is the international organization responsible for developing guidelines on the Classification of Functions of Government (COFOG). The FAO questionnaire obtains additional detail relevant to Agriculture and Rural Development not available from the IMF questionnaire. The FAO dataset consists of a time series, from 2000 onwards, of government expenditures in terms of expenditures in: (1) Total; (2) Economic affairs; (3) Agriculture, Forestry, Fishing and Hunting, along with its three disaggregated subsectors of Agriculture, Forestry and Fishing; and 4) Environmental Protection. In addition, expenditures in each detailed function are further disaggregated into recurrent and capital expenditures, the latter of which serves as a proxy for expenditures in investment goods. Additional indicators include the total share of government expenditures allocated to agriculture, and an agriculture orientation index (ratio of the total share of government expenditures to agriculture, over the total share of GDP from agricultural value-added). Though the goal is to have complete and consistent coverage for all countries, relatively low response rates for this new domain and country level differences in data collection and reporting creates some challenges in providing a complete and consistent global dataset.
    • كانون الثاني 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
    • آذار 2011
      المصدر: Statistics Netherlands
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2018
      تحديد مجموعة بيانات
      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Investment climate; The Netherlands international comparison https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=71167ENG&_theme=1002 License: http://creativecommons.org/licenses/by/4.0/   This table shows basic figures on population and economic development for sixty countries. It concerns the following elementary indicators: - Gross Domestic Product; - Gross Domestic Product per capita; - Exports of goods and services; - Exports of high-tech goods; - Incoming Foreign Direct Investments; - Value added in services; - Population size. These indicators give an overall picture of the economic size and trade position of a country. The national economic development defines the basic climate within which companies develop their activities. A good economic development ensures a favourable investment climate in which enterprises can function well. Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands. Data available from 1990 Status of the figures: The external source of these data frequently supplies adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table. Changes as of 14 March 2011: Various figures have been updated as a result of updates of the underlying source. Please refer to the original source for information about the changes. When will the latest figures be published? The latest figures are shown in the table as soon as the external source supplies them.
    • نيسان 2019
      المصدر: Investment Company Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 تموز, 2019
      تحديد مجموعة بيانات
      Investment Company Fact Book, 2019
  • J
    • تموز 2019
      المصدر: Semiconductor Equipment Association of Japan
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 آب, 2019
      تحديد مجموعة بيانات
      Japan: Semiconductor Manufacturing Equipment, amount of orders received and sales
    • آب 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Joint External Debt Hub (JEDH)-jointly developed by the Bank for International Settlements (BIS), the International Monetary Fund (IMF), the Organization for Economic Cooperation and Development (OECD) and the World Bank (WB)-brings together external debt data and selected foreign assets from international creditor/market and national debtor sources. The JEDH replaces the Joint BIS-IMF-OECD-WB Statistics on External Debt, a website that was launched in 1999 to provide international data, mainly from creditor sources, on the external debt of developing and transition countries and territories.
  • K
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Key Economic Indicators (KEI) database contains monthly and quarterly statistics (and associated statistical methodological information) for all OECD member countries and for a selection of non-member countries on a wide variety of economic indicators, namely: quarterly national accounts, industrial production, composite leading indicators, business tendency and consumer opinion surveys, retail trade, consumer and producer prices, hourly earnings, employment/unemployment, interest rates, monetary aggregates, exchange rates, international trade and balance of payments.
  • L
    • شباط 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 شباط, 2019
      تحديد مجموعة بيانات
      The labour force comprises all persons of working age who furnish the supply of labour for the production of goods and services during a specified time-reference period. It refers to the sum of all persons of working age who are employed and those who are unemployed. The series is part of the ILO estimates and is harmonized to account for differences in national data and scope of coverage, collection and tabulation methodologies as well as for other country-specific factors. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper. 
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      Land resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both: a physical "milieu" necessary for the development of natural vegetation as well as cultivated vegetation; a resource for human activities. The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land). Land area excludes area under inland water bodies (i.e. major rivers and lakes). Arable refers to all lan generally under rotation, whether for temporary crops (double-cropped areas are counted only once) or meadows, or left fallow (less than five years). These data are not meant to indicate the amount of land that is potentially cultivable. Permanent crops are those that occupy land for a long period and do not have to be planted for several years after each harvest (e.g. cocoa, coffee, rubber). Land under vines and trees and shrubs producing fruits, nuts and flowers, such as roses and jasmine, is so classified, as are nurseries (except those for forest trees, which should be classified under "forests and other wooded land"). Arable and permanent crop land is defined as the sum of arable area and land under permanent crops. Permanent meadows and pastures refer to land used for five years or more to grow herbaceous forage crops, either cultivated or growing wild (wild prairie or grazing land). Forest refers to land spanning more than 0.5 hectare (0.005 km2) and a canopy cover of more than 10 percent, or trees able to reach these thresholds in situ. This includes land from which forests have been cleared but that will be reforested in the foreseeable future. This excludes woodland or forest predominantly under agricultural or urban land use and used only for recreation purposes. Other areas include built-up and related land, wet open land, and dry open land, with or without vegetation cover. Areas under inland water bodies (rivers and lakes) are excluded. The definitions used in different countries may show variations.
    • حزيران 2018
      المصدر: Legatum Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 كانون الأول, 2018
      تحديد مجموعة بيانات
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 آب, 2019
      تحديد مجموعة بيانات
      The productivity and income estimates presented in this dataset are mainly based on GDP, population and employment data from the OECD Annual National Accounts. Hours worked are sourced from the OECD Annual National Accounts, the OECD Employment Outlook and national sources. The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the sources databases. However, timely data issues may arise and affect individual series and/or individual countries. In particular, annual hours worked estimates from the OECD Employment Outlook are typically updated less frequently (once a year, in the summer) than series of hours worked from the OECD Annual National Accounts.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 تموز, 2019
      تحديد مجموعة بيانات
      This table contains labour force data on labour market status - population, labour force, unemployment and employment - by sex and by detailed age groups and standard age groups (15-24, 25-54, 55-64, 65+, total). Note: Population figures reported in table LFS by sex are Census-based, while the data for this table are taken from labour force surveys. Population for total age group refers to working age population (15 to 64 years).
    • آب 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 آب, 2019
      تحديد مجموعة بيانات
      This dataset contains the age composition (as a percentage of all ages) of the population for each labour force status - labour force, employment, unemployment - by sex.
    • آب 2019
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 آب, 2019
      تحديد مجموعة بيانات
      Data cited at : https://www.bis.org/statistics/index.htm
    • تشرين الأول 2019
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at : https://www.bis.org/statistics/index.htm   Locational banking statistics: Cross-border positions, by nationality of reporting bank and sector of counterparty    
  • M
    • أيار 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 حزيران, 2019
      تحديد مجموعة بيانات
      The FAOSTAT Macro Indicators database provides a selection of country-level macroeconomic indicators taken from National Accounts series and relating to total economy (TE), Agriculture, Forestry and Fishing (AFF), Manufacturing (MAN), and Manufacturing of Food, beverage and tobacco products (FBT). All data relating to Total Economy, Agriculture, Forestry and Fishing, and Total Manufacturing originates from the United Nations Statistics Division (UNSD) which maintains and annually updates the "National Accounts Estimates of Main Aggregates" database. It consists of a complete and consistent set of time series of the main National Accounts (NA) aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official NA data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information. FAOSTAT Macro Indicators database reproduces a selection of time series from the UNSD National Accounts Estimates of Main Aggregates such as GDP, GFCF and sectoral VA. Additional analytical indicators such as annual per capita GDP (calculated using annual population series from the UNSD) and annual growth rates for GDP, GFCF and VA are included toghether with the investment ratio GFCF/GDP and the sectors'contribution to total economy GDP. Series on value added on Manufacture of Food, Beverages and Tobacco products originates - in order of priority - from OECD Annual National Accounts and UNIDO INDSTAT2 databases. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), we proceed to a rescaling exercise of UNIDO originating series on UNSD National Accounts Estimates of Main Aggregates data series.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This biannual publication provides a set of indicators that reflect the level and structure of the efforts undertaken by OECD member countries and seven non-member economies (Argentina, People's Republic of China, Romania, Russian Federation, Singapore, South Africa, Chinese Taipei) in the field of science and technology. These data include final or provisional results as well as forecasts established by government authorities. The indicators cover the resources devoted to research and development, patent families, technology balance of payments and international trade in R&D-intensive industries. Also presented are the underlying economic series used to calculate these indicators. Indicators on R&D expenditures, budgets and personnel are derived from the OECD's Research and Development Statistics (RDS) database, which is based on the data reported to OECD and Eurostat in the framework of a co-ordinated collection. The sources for the other indicators include the OECD databases on Activities of Multinational Enterprises (AMNE), on Bilateral Trade in Goods by Industry and End-use Category database (BTDIxE), on Patents and on Technological Balance of Payments (TBP). The R&D data used in this publication have been collected and presented in line with the standard OECD methodology for R&D statistics as laid out in the OECD "Frascati Manual". The 2002 edition of the manual has now been superseded by the 2015 edition. The revised guidelines and definitions are in the course of being implemented and are not expected to change the main indicators significantly although some terminology changes will occur. This edition of MSTI has been compiled in accordance with the 2002 Frascati Manual; these changes will be made in a coming edition as R&D surveys move to the new standard.   2018 values are estimated value.
    • أيلول 2019
      المصدر: U.S. Department of the Treasury
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 أيلول, 2019
      تحديد مجموعة بيانات
      The data in this table include foreign holdings of U.S. Treasury marketable and non-marketable bills, bonds, and notes reported monthly under the Treasury International Capital (TIC) reporting system. The data are collected primarily from U.S.-based custodians. Since U.S. securities held in overseas custody accounts may not be attributed to the actual owners, the data may not provide a precise accounting of individual country ownership of Treasury securities (see TIC FAQ #7 at: http://www.treasury.gov/resource-center/data-chart-center/tic/Pages/ticfaq1.aspx). -- Data for December 2011 and later include holdings of U.S. Treasury bonds and notes as reported on TIC Form SLT, "Aggregate Holdings of Long-Term Securities by U.S. and Foreign Residents.", including preliminary SLT data for the most recent month on the MFH table. -- The data before December 2011 were collected primarily from U.S.-based custodians and broker-dealers. Those data includes estimated foreign holdings of U.S. Treasury bonds and notes based on adding monthly net transactions from the TIC S Form to the holdings in the most recent annual Survey of Foreign Holdings of U.S. Securities. See footnotes 16 and 17 for details about the transition period during the 3rd and 4th quarter of 2011.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تموز, 2019
      تحديد مجموعة بيانات
      The data presented come from two international sources: (1) UN and International Resource Panel "Global Material Flows Database" for non-EU OECD and non-OECD countries, and (2) Eurostat  "Material Flows and Resource Productivity" database for EU OECD countries. It should be born in mind that the data should be interpreted with caution and that the time series presented here may change in future as work on methodologies for MF accounting progresses. Furthermore, data contain rough estimates for OECD and BRIICS aggregates. These data refer to material resources, i.e. materials originating from natural resources that form the material basis of the economy: metals (ferrous, non-ferrous) non-metallic minerals (construction minerals, industrial minerals), biomass (wood, food) and fossil energy carriers. The use of materials in production and consumption processes has many economic, social and environmental consequences. These consequences often extend beyond the borders of countries or regions, notably when materials are traded internationally, either in the form of raw materials or as products embodying them. They differ among the various materials and among the various stages of the resource life cycle (extraction, processing, use, transport, end-of-life management). From an environmental point of view these consequences depend on:the rate of extraction and depletion of renewable and non-renewable resource stocksthe extent of harvest and the reproductive capacity and natural productivity of renewable resourcesthe associated environmental burden (e.g. pollution, waste, habitat disruption), and its effects on environmental quality (e.g. air, water, soil, biodiversity, landscape) and on related environmental services These data inform about physical flows of material resources at various levels of detail and at various stages of the flow chain. The information shows: a) the material basis of economies and its composition by major material groups, considering:the extraction of raw materials;the trade balance in physical terms;the consumption of materials;the material inputs b) the consumption of selected materials that are of environmental and economic significance. c) in-use stocks of selected products that are of environmental and economic significance. Domestic extraction used (DEU) refers to the flows of raw materials extracted or harvested from the environment and that physically enter the economic system for further processing or direct consumption (they are used by the economy as material factor inputs). Imports (IMP) and exports (EXP) are major components of the direct material flow indicators DMI (domestic material input) and DMC (domestic material consumption). They cannot be taken as indication of domestic resource requirements. Domestic material consumption (DMC) refers to the amount of materials directly used in an economy, which refers to the apparent consumption of materials. DMC is computed as DEU minus exports plus imports. Direct material input (DMI) is computed as DEU plus imports. The material groups are: Food: food crops (e.g. cereals, roots, sugar and oil bearing crops, fruits, vegetables), fodder crops (including grazing), wild animals (essentially marine catches), small amounts of non-edible biomass (e.g. fibres, rubber), and related products including livestock. Wood: harvested wood and traded products essentially made of wood (paper, furniture, etc.). Construction minerals: non-metallic construction minerals whether primary or processed. They comprise marble, granite, sandstone, porphyry, basalt, other ornamental or building stone (excluding slate); chalk and dolomite; sand and gravel; clays and kaolin; limestone and gypsum. Industrial minerals: non-metallic industrial minerals whether primary or processed (e.g. salts, arsenic, potash, phosphate rocks, sulphates, asbestos). Metals: metal ores, metals and products mainly made of metals. Fossil energy materials/carriers: coal, crude oil, natural gas and peat, as well as manufactured products predominantly made of fossil fuels (e.g. plastics, synthetic rubber).
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data on earnings are presented, whenever possible, in nominal terms and on the basis of the mean of monthly earnings of all employees. The earnings of employees relate to the gross remuneration in cash and in kind paid to employees, as a rule at regular intervals, for time worked or work done together with remuneration for time not worked, such as annual vacation, other type of paid leave or holidays. Earnings exclude employers' contributions in respect of their employees paid to social security and pension schemes and also the benefits received by employees under these schemes. Earnings also exclude severance and termination pay. Statistics of earnings relate to the gross remuneration of employees, i.e. the total before any deductions are made by the employer. Data are disaggregated by economic activity according to the latest version of the International Standard Industrial Classification of All Economic Activities (ISIC) available for that year. Economic activity refers to the main activity of the establishment in which a person worked during the reference period and does not depend on the specific duties or functions of the person's job, but on the characteristics of the economic unit in which this person works.
    • كانون الأول 2018
      المصدر: International Telecommunication Union
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 كانون الأول, 2018
      تحديد مجموعة بيانات
      This Dataset contains Indicators related to IC Development Index and Tables from "Measuring the Information Society Report 2018, Volume 1" For Indicators for other ICT Development data please refer: https://knoema.com/ITUKIICT2019/global-ict-developments
    • تشرين الأول 2018
      المصدر: Melbourne Mercer
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 تشرين الأول, 2018
      تحديد مجموعة بيانات
      Melbourne Mercer Global Pension index has become an important reference point in the debate about the adequacy, sustainability and integrity of retirement systems around the world. While some countries have well-established retirement systems that have stood the test of time, others are just developing, especially those within the Asian region. Regardless, as nations and policy makers struggle with the competing needs of an ageing population and achieving an appropriate fiscal balance, our hope is that this report will provide an opportunity for debate and discussion about possible alternative strategies. The Index uses three sub-indices —adequacy, sustainability and integrity — to measure each country's retirement income system. The overall index value for each country's system represents the weighted average of the three sub-indices. The weightings used are 40 percent for the adequacy sub-index, 35 percent for the sustainability sub-index and 25 percent for the integrity sub-index. The different weightings are used to reflect the primary importance of the adequacy sub-index which represents the benefits that are currently being provided together with some important benefit design features. The integrity sub-index considers several items that influence the overall governance and operations of the system which affects the level of confidence that the citizens of each country have in their system. 
    • كانون الثاني 2015
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 نيسان, 2015
      تحديد مجموعة بيانات
      This table presents merchandise trade complementarity index which assesses the suitability of preferential trade agreement between two economies given the structure of one potential partners’ exports match the imports of the other potential partner. Changes over time may indicate whether the trade profiles are becoming more or less compatible.
    • شباط 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 حزيران, 2019
      تحديد مجموعة بيانات
      Merchandise: Trade value, volume, unit value, terms of trade indices and purchasing power index of exportsThis dataset contains export and import volume indices, rounding out trade value. Export and import unit value indices, derived terms of trade and purchasing power of exports indices are also provided in various base and reference years (2000, 2010 and 2015).The value index is the current value of exports (FOB) or imports (CIF) converted to United States dollars and expressed in percentage. The volume index is derived as the percentage ratio of the export or import value index to the corresponding unit value index (value index / unit value index *100) unless otherwise noted at country level.The weights used for the calculation of the indices correspond to base year 2000. For convenience, and to facilitate international comparisons, the series have been rescaled to new references 2010=100 and 2015=100.
    • تموز 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Merchandise trade matrix - detailed products, exports and imports in thousands of United States dollars, Annual This dataset presents merchandise trade by trading partner and product based on three digit level SITC Revision 3 commodity classification, expressed in thousands of dollars. In addition, data are also summarized by geographical region, economic and trade grouping, for both reporting country and its trading partner, and by product grouping.
    • تشرين الأول 2018
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 تشرين الأول, 2018
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 أيلول, 2019
      تحديد مجموعة بيانات
      This Dataset presents merchandise trade by trading partner and product based on the SITC commodity classification, Revision 3, at the one- and two-digit level, expressed in thousands of United States dollars. The data are also summarized by group of economies, for both reporting economy and trading partner, and by broader product groups.
    • تموز 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This Dataset presents product concentration and diversification indices.  The diversification index indicates whether the structure of exports or imports by product of a given country or country group differs from the world pattern. The product concentration index shows how exports and imports of individual countries or country groups are concentrated on a few products or otherwise distributed in a more homogeneous manner among a series of products.
    • حزيران 2018
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 تموز, 2018
      تحديد مجموعة بيانات
      This dataset shows statistics on the international maritime transport. It contains data on the size of the world merchant fleet by flag of registration and by type of ship. Data are presented in thousands of dead-weight tons (DWT). The dataset presents also, for each region or country 1) its share in the world fleet, and 2) the share of a ship-type in its fleet. From 2011 onwards, the figures on numbers of ships are also available, as well as the data in gross tonnage (GT).
    • نيسان 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 أيار, 2019
      تحديد مجموعة بيانات
      Migration and Remittances Fact book provides a snapshot of migration and remittances for all countries, regions and income groups of the world, compiled from available data from various sources. 
    • آذار 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 آذار, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Millennium Development Goals Publication: https://datacatalog.worldbank.org/dataset/millennium-development-goals License: http://creativecommons.org/licenses/by/4.0/   Relevant indicators drawn from the World Development Indicators, reorganized according to the goals and targets of the Millennium Development Goals (MDGs). The MDGs focus the efforts of the world community on achieving significant, measurable improvements in people's lives by the year 2015: they establish targets and yardsticks for measuring development results. Gender Parity Index (GPI)= Value of indicator for Girls/ Value of indicator for Boys. For e.g GPI=School enrolment for Girls/School enrolment for Boys. A value of less than one indicates differences in favor of boys, whereas a value near one (1) indicates that parity has been more or less achieved. The greater the deviation from 1 greater the disparity is.
    • شباط 2019
      المصدر: U.S. Geological Survey
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 آذار, 2019
      تحديد مجموعة بيانات
      The USGS Mineral Resources Program (MRP) provides scientific information for objective resource assessments and unbiased research results on mineral potential, production, consumption, and environmental effects. The MRP is the sole Federal source for this information.
    • أيلول 2019
      المصدر: Saudi Arabian Monetary Agency
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 أيلول, 2019
      تحديد مجموعة بيانات
      Data cited at: Saudi Arabian Monetary Agency-SAMA
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The International Trade (MEI) dataset contains predominantly monthly merchandise trade statistics, and associated statistical methodological information, for all OECD member countries and for all non-OECD G20 economies and the EU.   The dataset itself contains international trade statistics measured in billions of United States dollars (USD) for: Exports, Imports, Balance. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Financial Statistics dataset contains predominantly monthly statistics, and associated statistical methodological information, for the 36 OECD member countries and some selected other countries. The dataset itself contains financial statistics on 4 separate subjects: Monetary Aggregates, Interest Rates, Exchange Rates, and Share Prices. The data series presented within these subjects have been chosen as the most relevant financial statistics for which comparable data across countries is available. In all cases a lot of effort has been made to ensure that the data are internationally comparable across all countries presented and that all the subjects have good historical time-series’ data to aid with analysis. All data are available monthly, and are presented as either an index (where the year 2015 is the base year) or as a level depending on which measure is seen as the most appropriate and/or useful in the economic analysis context.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset shows data provided by Member countries' authorities through the questionnaire on the state of the environment (OECD/Eurostat). They were updated or revised on the basis of data from other national and international sources available to the OECD Secretariat, and on the basis of comments received from national Delegates. Selected updates were also done in the context of the OECD Environmental Performance Reviews. The data are harmonised through the work of the OECD Working Party on Environmental Information (WPEI) and benefit from continued data quality efforts in OECD member countries, the OECD itself and other international organisations. In many countries systematic collection of environmental data has a short history; sources are typically spread across a range of agencies and levels of government, and information is often collected for other purposes. When interpreting these data, one should keep in mind that definitions and measurement methods vary among countries, and that inter-country comparisons require careful interpretation. One should also note that data presented here refer to national level and may conceal major subnational differences. This dataset presents trends in amounts of municipal (including household waste), and the treatment and disposal method used. The amount of waste generated in each country is related to the rate of urbanisation, the types and pattern of consumption, household revenue and lifestyles.
  • N
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It presents gross capital formation, gross fixed capital formation, changes in inventories and acquisition less disposals of valuables broken down by detailed industries according to the classification ISIC rev.4. Gross fixed capital formation is also available broken down by type of assets. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2005). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It presents fixed assets by activity according to the classification ISIC rev.3 and by type of product and by type of assets.  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. In national currency, in current prices and constant prices (national base year and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It presents the balance sheets for non financial assets by institutional sectors, for both produced assets (fixed assets, inventories, valuables) and non-produced assets (tangible and intangible).  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset presents information using an "indicator" approach, focusing on cross-country comparisons. The aim is to make the accounts more accessible and informative, whilst taking the opportunity to present the conceptual underpinning  and comparability issues of each of the indicators presented. The range of indicators is set deliberately wide to reflect the richness of the national accounts dataset and to encourage users of economic statistics to refocus some of the spotlight that is often placed on GDP to other important economic indicators, which may better respond to their needs. Indeed many users themselves have been instrumental in this regard. The report of the Commission on the Measurement of Economic Performance and Social Progress (Stiglitz-Sen-Fitoussi Commission) is but one notable example. That is not to undermine the importance of GDP, which arguably remains the most important measure of total economic activity, but other measures may better reflect other aspects of the economy. For example, net national income may be a more appropriate measure of income available to citizens in countries with large outflows of property income, and household adjusted disposable income per capita may be a better indicator of the material well-being of citizens. But certainly from a data perspective more can and remains to be done. The Stiglitz-Sen-Fitoussi Commission for example highlights the pressing need for the provision, by official statistics institutes, of more detailed information that better describes the distributional aspects of activity, especially income, and the need to build on the national accounts framework to address issues such as non-market services produced by households or leisure. It is hoped that by producing a publication such as this and thereby raising awareness, the momentum from this and other initiatives will be accelerated. The publication itself will pick up new indicators in the future as they become available at the OECD.
    • كانون الأول 2018
      المصدر: United Nations Statistics Division
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 آذار, 2019
      تحديد مجموعة بيانات
      The National Accounts Main Aggregates Database presents a series of analytical national accounts tables from 1970 onwards for more than 200 countries and areas of the world. It is the product of a global cooperation effort between the Economic Statistics Branch of the United Nations Statistics Division, international statistical agencies and the national statistical services of these countries and is developed in accordance with the recommendation of the Statistical Commission at its first session in 1947 that the Statistics Division should publish regularly the most recent available data on national accounts for as many countries and areas as possible. The database is updated in December of each year with newly available national accounts data for all countries and areas.
    • أيلول 2018
      المصدر: United Nations Statistics Division
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 حزيران, 2019
      تحديد مجموعة بيانات
      Different series numbers (column “Series”) are used to store different time-series versions of national accounts statistics. Series numbers with two digits (10,20) refer to data compiled following the SNA 1968 national accounts methodology, while series numbers with three digits (100, 200, etc) refer to data compiled using the SNA 1993 national accounts methodology whereas series number with four digits (1000, 1100) refer to data compiled using the SNA 2008 national accounts methodology. In addition to different methodologies, different series numbers are used when data are reported in different currencies, fiscal years, or by different sources. Furthermore, data are stored under a new series number whenever there are significant changes in compilation practices which make the time series no longer comparable. Note: Ethiopia [upto 1993] and Ethiopia [from 1993] merged to get Ethiopia, Similarly Sudan (upto 2011) is combined with Sudan.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It presents the whole set of non financial accounts, from the production account to the acquisitions of non-financial assets accounts. For general government sector, property income, other current transfers and capital transfers are consolidated..
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It presents the whole set of non financial accounts, from the production account to the acquisitions of non-financial assets accounts. For general government sector, property income, other current transfers and capital transfers are consolidated.. It has been prepared from statistics reported to the OECD by Member countries in their answers to the new version of the annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It presents gross capital formation, gross fixed capital formation, changes in inventories and acquisition less disposals of valuables broken down by detailed industries. Gross fixed capital formation is also available broken down by type of assets. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It presents the different transactions and balances to get from the GDP to the net lending/net borrowing. Therefore, it includes, in particular, national disposable income (gross and net), consumption of fixed capital as well as net saving.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It presents the final consumption expenditure of households broken down by the COICOP (Classification of Individual Consumption According to Purpose) classification and by durability.  It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It provides a faithful image, to the greatest extent possible, of the aggregates and balances of the general government sector in the SNA 1993 conceptual framework. In addition, it brings to light two relevant aggregates that do not belong to this conceptual frame work: the Total Revenue and the Total Expenditure of the general government sector. Unit of measure used - National currency; current prices. Expressed in millions.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      It provides a breakdown of government expenditure according to their function. To meet this end, economic flows of expenditure must be aggregated according to the Classification of the Functions of Government (COFOG).
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تموز, 2019
      تحديد مجموعة بيانات
      It presents the three approaches of the GDP: expenditure based, output based and income based. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It presents population data and employment by main activity. It includes national concept data for economically active population, unemployed persons, total employment, employees and self-employed, as well as domestic concept data for total employment, employees and self-employed. The domestic concept data are available broken down by main activity. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It presents simplified non-financial accounts, from the gross value added to the net lending/net borrowing. In this table, the total economy is broken down in three main institutional sectors: corporations, general government, households and non-profit institutions serving households. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. This questionnaire is designed to collect internationally comparable data according to the 1993 SNA. Unit of measure used - In national currency, in current prices. Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      It provides a faithful image, to the greatest extent possible, of the aggregates and balances of the general government sector Data are also available, for most countries, for the sub-sectors of general government.
    • حزيران 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 حزيران, 2019
      تحديد مجموعة بيانات
      Statistical population: Its presents output, intermediate consumption and the gross value added and its components, in particular compensation of employees and gross operating surplus and mixed income, broken down by detailed industries. It has been prepared from statistics reported to the OECD by Member countries in their answers to annual national accounts questionnaire. Data presented in this table will not be updated after summer 2010. Data reported to the OECD by countries in their answers to the annual national accounts questionnaire are now available on theme Industry and Services, Structural Analysis (STAN) Databases. Unit of measure used: In national currency, in current prices and constant prices (national base year, previous year prices and OECD base year i.e. 2010). Expressed in millions. For the Euro area countries, the data in national currency for all years are calculated using the fixed conversion rates against the euro.
    • شباط 2019
      المصدر: World Health Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 شباط, 2019
      تحديد مجموعة بيانات
      National Health Accounts (NHA) provides evidence to monitor trends in health spending for all sectors- public and private, different health care activities, providers, diseases, population groups and regions in a country. It helps in developing nationals
    • أيار 2016
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 حزيران, 2016
      تحديد مجموعة بيانات
      National landings in domestic ports
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset presents the number of new entrants in a given programme by age and sex.
    • تشرين الأول 2019
      المصدر: Statistics Sweden
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Nights spent of all hotels, holiday villages, youth hostels, camping sites and commercially arranged private cottages and apartments by region/county and by country of residence. Month 2008M01 - 2018M12Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2017 refer to final statistics. The final statistics for 2018 will be published in the spring of 2019.As of January 2011 camping grounds are presented as the same country of residence as other types of establishments.regionCommercially arranged private cottages and apartments are not included in regions and other Sweden excluding metropolitan areas.country of residenceCountry of residence refers to the country where the guest, regardless of citizenship, resides permanently (more than 12 months). A Swedish citizen residing abroad is thus presented as a guest from the country of residence.
    • تشرين الأول 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The non-financial Annual Sector Accounts (ASA) are compiled in accordance with the European System of Accounts (ESA 2010) and are transmitted by the EU Member States, EEA Members (Norway, Iceland) and Switzerland following ESA2010 transmission programme (Table 8) established by the Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union, annexes A and B respectively). The ASA encompass non-financial accounts that provide a description of the different stages of the economic process: production, generation of income, distribution of income, redistribution of income, use of income and non-financial accumulation. The ASA record the economic flows of institutional sectors in order to illustrate their economic behaviour and interactions between them. They also provide a list of balancing items that have high analytical value in their own right: value added, operating surplus and mixed income, balance of primary incomes, disposable income, saving, net lending / net borrowing. All of them but net lending / net borrowing, can be expressed in gross or net terms, i.e. with and without consumption of fixed capital that accounts for the use and obsolescence of fixed assets. In terms of institutional sectors, a broad distinction is made between the domestic economy (ESA 2010 classification code S.1) and the rest of the world (S.2). Within S.1 and S.2, in turn, more detailed subsectors are distinguished as explained in more detail in section "3.2 Classification system". Data are presented in the table "Non-financial transactions" (nasa_10_nf_tr). The table contains data, as far as they are available, expressed in national currency and millions of euro in current prices. In line with ESA2010 Transmission programme requirements data series start from 1995 (unless subject to voluntary transmission option and/or country specific derogations). Countries may transmit longer series on voluntary basis. Available level of detail by sectors and transactions may also vary by country due to voluntary transmission of some items (as defined in ESA2010 transmission programme) and country specific derogations. ASA collected according ESA2010 Transmission programme include selected data on employment (in persons and hours worked) by institutional sectors. However, as transmission of these variables is voluntary (except for the sector of General government), data availability may vary significantly across countries. A set of key indicators, deemed meaningful for economic analysis, is available in the table "Key indicators" (nasa_10_ki) for most of the members of the European Economic Area (EEA), of the Euro area and EU. Key ratios are derived from non-financial transactions as follows: Gross household saving rate (S.14_S.15): B8G/(B6G+D8rec-D8pay)*100Gross investment rate of households (S.14_S.15): P51G/(B6G+D8rec-D8pay)*100Gross investment rate of non-financial corporations (S.11): P51G/B1G*100Gross profit share of non-financial corporations (S.11): B2G_B3G/B1G*100Total investment to GDP ratio (S.1): P51G/B1GQ*100Business investment to GDP ratio: (S.11_P51G+S.12_P51G)/B1GQ*100Government investment to GDP ratio: S.13_P51G/B1GQ*100Households investment to GDP ratio: (S.14_S.15_P51G)/B1GQ*100 With the following transaction codes: B8G -  Gross savingB6G - Gross disposable incomeD8rec / D8pay - the adjustment for the change in pension entitlements (receivable / payable)P51G - Gross fixed capital formationB1G - Gross value addedB1GQ – Gross domestic productB2G_B3G - Gross operating surplus/ mixed income. In the above, all ratios are expressed in gross terms, i.e. before deduction of consumption of fixed capital. The following key indicators are calculated in real or nominal terms: Real growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC*Price Deflator)Nominal growth of household adjusted disposable income per capita (percentage change on previous period, S.14_S.15): B7G/(POP_NC)Real growth of household actual consumption per capita (percentage change on previous period, S.14_S.15): P4/(POP_NC*Price Deflator) With the following codes (the codes already described above have not been listed): B7G - Gross adjusted gross disposable income (adjusted for social transfers in kind)P4 - Actual final consumption (adjusted for social transfers in kind)POP_NC - Total population national concept (source:Quarterly national accounts, Eurobase domain namq_10_pe)Price deflator - Price index/implicit deflator calculated as CP_MEUR/CLV10_MEUR – both indicators refer to households and NPISH final consumption expenditure (P31_S14_S15) (source: Quarterly national accounts, Eurobase domain namq_10_gdp) The following key indicators combine non-financial with financial accounts: Gross return on capital employed, before taxes, of non-financial corporations (S.11): [B2G_B3G/(AF2+AF3+AF4+AF5, liab)]*100Net debt-to-income ratio, after taxes, of non-financial corporations (S.11): ([(AF2+AF3+AF4, liab)/(B4N-D5pay)]*100)Net return on equity, after taxes, of non-financial corporations (S.11): [(B4N-D5pay)/(AF5, liab)]*100Gross debt-to-income ratio of households (S.14_15): [(AF4, liab)/(B6G+D8net)]*100Household net financial assets ratio (BF90/(B6G+D8net)) With the following codes (the codes already described above have not been listed): B4N - Net entrepreneurial incomeD5pay - Current taxes on income and wealthAF2 - Currency and depositsAF3 - Debt securities (excluding financial derivatives)AF4 - LoansAF5 - Equity and investment fund sharesBF90 – Financial net worth "rec" means resources, that is transactions that add to the economic value of a given sector. "pay" means "uses", that is transactions that reduce the economic value of a given sector. "liab" refers to the stock of liabilities incurred by a given sector and recorded in the financial balance sheets. See also the sector accounts dedicated website for more information.
  • O
    • تشرين الثاني 2018
      المصدر: Ocean Health Index
      تم التحميل بواسطة: Shakthi Krishnan
      تم الوصول في: 23 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      Ocean Health Index
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 تموز, 2019
      تحديد مجموعة بيانات
      The Agricultural Outlook has been prepared as a joint report by the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) of the United Nations. The report provides a ten year forward looking, assessment of trends and prospects in the major temperate-zone agricultural commodity markets of biofuels, cereals, oilseeds and oilseed products, sugar, meat, fish and sea food, dairy products, cotton. It is published annually, in the middle of the second quarter, as part of a continuing effort to promote informed discussion of emerging market and policy issues. The data used to develop the projections underlying the assessment are those available as of January 2018.   The projections and assessments provided in the report are the result of close co-operation between the OECD and FAO Secretariats and national experts with a jointly developed modelling system, based on the AGLINK-COSIMO model, used to facilitate consistency in the projections. The data series for the projections are drawn from OECD and FAO databases. For the most part information in these databases has been taken from national statistical sources.
    • تشرين الأول 2013
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 تشرين الأول, 2013
      تحديد مجموعة بيانات
      This table gives information on official financial flows by type and sources. It is further broken down by individual country, geographical region and economic grouping (as recipients); and expressed in millions of dollars, as percentage of total flows and as percentage of region.
    • آب 2018
      المصدر: Organization of Petroleum Exporting Countries
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 كانون الأول, 2018
      تحديد مجموعة بيانات
      The date has been considered the highest number although it has a range which are as. 2014- 2020 for 2020, 2020-2030 for 2030, 2030-2040 for 2040
    • آب 2018
      المصدر: Organization of Petroleum Exporting Countries
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      1. Stock change assumptions reflect the development of Strategic Petroleum Reserves (SPR) in some non-OECD countries, and the rising need for stocks as refinery capacity expands. These rates of rise in stocks will eventually slow, as growth in SPR slows as does refinery expansion. The medium-term pattern eventually reverts, in the long-term, to historical average behavior. 2. For Indicators, like Long term real GP growth rates the date has been considered the highest number although it has a range which are as. 2014- 2020 for 2020, 2020-2030 for 2030, 2030-2040 for 2040
    • شباط 2018
      المصدر: Wikipedia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آذار, 2018
      تحديد مجموعة بيانات
      Data cited at: Wikipedia https://en.wikipedia.org Topic: All-time Olympic Games medal table Publication URL: https://en.wikipedia.org/wiki/All-time_Olympic_Games_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License
    • شباط 2018
      المصدر: Wikipedia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آذار, 2018
      تحديد مجموعة بيانات
      Data cited at: Wikipedia https://en.wikipedia.org Topic: All-time Olympic Games medal table Publication URL: https://en.wikipedia.org/wiki/All-time_Olympic_Games_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License
    • حزيران 2019
      المصدر: Organization of Petroleum Exporting Countries
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 حزيران, 2019
      تحديد مجموعة بيانات
      The OPEC Annual Statistical Bulletin (ASB) provides detailed and comprehensive time-series data on many different aspects of the global petroleum industry, including production, demand, imports and exports, as well as exploration and transportation activities. The publication contains key statistical data on oil and natural gas activities in each of OPEC's 14 Member Countries: Algeria, Angola, Ecuador, Equatorial Guinea, Gabon, Islamic Republic of Iran, Iraq, Kuwait, Libya, Nigeria, Qatar, Saudi Arabia, the United Arab Emirates and Venezuela. Additionally, it provides valuable industry data for various countries with detailed classifications, mainly by geographical region, and covers the major economic areas around the world. This year’s 2018 ASB, which comprises data up to the end of 2017, includes the following important highlights: Total world crude oil production increased sharply in 2018 by 1.213 million barrels/day (m b/d), or 1.6 per cent, as compared to 2017, to reach 75.78m b/d, marking a historical high and the highest annual growth since 2015. OPEC crude oil production declined year-on-year by 415,000 b/d, or 1.3 per cent, while crude production by non-OPEC countries grew by 1.628m b/d, or 3.8 per cent. The largest volumetric gains were for the United States with 1.610m b/d, or 17.2 per cent, Saudi Arabia with 358,000 b/d or 3.6 per cent and Russia with 178,000 b/d or 1.7 per cent In 2018, the top three crude oil producing countries were the United States (10.96m b/d), Russia (10.53m b/d) and Saudi Arabia (10.32m b/d). With an average of 98.73m b/d in 2018, world oil demand grew by 1.5 per cent y-o-y, with the largest increases recorded for Asia and Pacific region (particularly China and India) and North America. Oil demand in Africa and the Middle East fell in 2018 by around 23,000 b/d, as compared to 2017, while Latin America posted an increase following consecutive declines during the previous three years. OECD oil demand grew solidly for the fourth consecutive year in 2018, while oil demand in OPEC Member Countries declined slightly after increasing during 2017. Distillates and gasoline accounted for around 55.0 per cent of 2018 world oil demand with an upward trend. Residual fuel oil requirements were about 7.2 per cent of total oil demand in 2018. OPEC Member Countries exported an average of 24.67m b/d of crude oil in 2018, a slight increase of about 14,000 b/d, or 0.1 per cent, compared to 2017. Following the trend in previous years, the bulk of crude oil from OPEC Member Countries — 15.86m b/d or 64.3 per cent — was exported to the Asia and Pacific region. Considerable volumes of crude oil — about 4.58m b/d — were also exported to Europe in 2018, which, however, represents a decline compared with 4.65m b/d recorded in 2017. North America imported 2.81m b/d of crude oil from OPEC Member Countries, which was about 406,000 b/d, or 12.6 per cent, less than the 2017 volumes. Exports of petroleum products from OPEC Member Countries averaged 4.71m b/d during 2018, up by around 784,000 b/d, or 20.0 per cent, compared to 2017. Imports of petroleum products by OPEC Member Countries stood at 2.62m b/d in 2018, roughly 593,000 b/d, or 29.3 per cent, higher than in 2017. World proven crude oil reserves stood at 1,498 billion barrels (bn b) at the end of 2018, increasing slightly by 0.4 per cent from the level of 1,492bn b recorded at the end of 2017. Proven crude oil reserves in OPEC Member Countries decreased slightly by 0.2 per cent to 1,189bn b at the end of 2018 for the second consecutive year. OPEC Member Countries’ share of total world proven crude oil reserves decreased marginally, from 79.9 per cent at the end of 2017 to 79.4 per cent at the end of 2018. At the end of 2018, world proven natural gas reserves rose by 0.7 per cent to approximately 203.2 trillion standard cubic metres (cu m). The observed increase in natural gas reserves is mainly attributed to North America, Middle East and Africa. Proven natural gas reserves in OPEC Member Countries stood at 72.68 trillion standard cu m at the end of 2018, up 0.6 per cent from the level at the end of 2017. World refinery capacity expanded by 876,000 barrels/calendar day (b/cd) to stand at 99.51m b/cd during 2018. The Asia and Pacific region, particularly China, as well as the Middle East, particularly the Islamic Republic of Iran, contributed the most in terms of refining capacity additions. Refinery capacity in the OECD declined marginally in 2018, as compared to 2017, with capacity expansions in North America being offset by closures in Europe. Globally, refinery throughput surged by 1.6 per cent to reach 84.94m b/d in 2018, with the largest gains in the Asia and Pacific region, North America, Europe and the Middle East. The OPEC Reference Basket averaged $69.78/b in nominal terms during 2018, up from $52.43/b in 2017, an increase of $17.35/b, or 33.1 per cent. The volatility level was $6.59/b, or 9.4 per cent, relative to the yearly average. In real terms, the OPEC Reference Basket stood at $45.81/b during 2018, up from $36.09/b during 2017.
    • حزيران 2019
      المصدر: Open Data Research Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
      Data cited at: Open data research Network  Lisence: http://creativecommons.org/licenses/by/4.0/
    • حزيران 2016
      المصدر: Open Data Research Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 أيلول, 2018
      تحديد مجموعة بيانات
      Peer-reviewed numerical scores assigned to each primary data variable collected for the Open Data Barometer.
    • أيار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 أيار, 2019
      تحديد مجموعة بيانات
      Other official flows are official sector transactions which do not meet the ODA criteria, e.g.:  i.) Grants to developing countries for representational or essentially commercial purposes;  ii.) Official bilateral transactions intended to promote development but having a grant element of less than 25 per cent;  iii.) Official bilateral transactions, whatever their grant element, that are primarily export-facilitating in purpose. This category includes by definition export credits extended directly to an aid recipient by an official agency or institution ("official direct export credits");  iv.) The net acquisition by governments and central monetary institutions of securities issued by multilateral development banks at market terms;  v.) Subsidies (grants) to the private sector to soften its credits to developing countries [see Annex 3, paragraph A3.5.iv)b)];  vi.) Funds in support of private investment.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
    • آب 2019
      المصدر: ExxonMobil
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 أيلول, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
      This table contains figures on the activity of affiliates located abroad by host country in the total manufacturing, total services and total business enterprise sectors. The units used to present data in AMNE are millions of national currency for monetary variables and units for the other variables. Monetary variables are in current prices. Euro-area countries: national currency data is expressed in euro beginning with the year of entry into the Economic and Monetary Union (EMU). For years prior to the year of entry into EMU, data have been converted from the former national currency using the appropriate irrevocable conversion rate. This presentation facilitates comparisons within a country over time and ensures that the historical evolution is preserved. Please note, however, that pre-EMU euro are a notional unit and should not be used to form area aggregates or to carry out cross-country comparisons.
    • أيلول 2019
      المصدر: National Institute of Statistics, Italy
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 أيلول, 2019
      تحديد مجموعة بيانات
      Data source(s) used: Trips and holidays survey: The survey, in accordance with the European Regulation 692/2011 (repealing from 1 January 2012 the European Directive 95/57/EC), satisfies the national needs by collecting regularly data on 'tourism demand' and ensuring, together with supply data, the availability of an integrated system of statistical information in the field of tourism at national level. Moreover, complying with the Regulation, the survey guaranties a set of harmonized statistical information across all member states of the European Union. The aim is to quantify and analyze the flows of tourists resident in Italy, both within the country and abroad, as well as to give information on the characteristics of the trips and on the socio-demographic characteristics of tourists and non-tourists. The reference periods are the all months of the year. In each period, for each household member, information about trips ended in the referring month is collected. Tourism flows are distinguished into trips for personal reasons and business trips, the first ones differentiated between short holiday (1-3 overnight stays) and long holiday trips (4 or more overnight stays). The survey provides a wide set of information on tourist trips, such as destination of the trip, main purpose, type of organization of travel, main type of accommodation and main mean of transport, duration and period of the year for each trips made, etc. From 1997 to 2013, Istat carried out the quarterly survey with CATI tecnique (Computer Assisted Telephone Interview) on a sample of about 14,000 households per year (approximately 3,500 per quarter and 32,000 individuals per year). Since 2014 the survey has been included into another process, Household budget survey, becoming a focus into the initial and ending interview. It is conducted monthly with CAPI technique (Computer Assisted Personal Interview), over a theory sample of 28.000 households (7.000 households per quarter). Comparability of the series of the main data has been guaranteed over time at national level. In fact, the principal macrodata have been re-built by applaying a tecnique of time series re-building.
    • تموز 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 أيلول, 2019
      تحديد مجموعة بيانات
      Real effective exchange rates are assumed to remain constant at the levels prevailing during October 29-November 26, 2018. Economies are listed on the basis of economic size. The aggregated quarterly data are seasonally adjusted. WEO = World Economic Outlook.
  • P
    • أيار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 أيار, 2019
      تحديد مجموعة بيانات
      The International Transport Forum collects data on transport statistics on annual basis from all its Member countries. Data are collected from Transport Ministries, statistical offices and other institution designated as official data source. Variables collected are inland transport of goods (T-km), of passengers (P-km) and road injury accidents. Additional information is also gathered on containers transported by rail and sea (Tons and TEU) as well as short sea shipping data (T-km).
    • كانون الأول 2018
      المصدر: Passport Index
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 كانون الأول, 2018
      تحديد مجموعة بيانات
      Passport Index is an interactive tool, which collects, displays and ranks the passports of the world. You can discover the world’s passports on a map, by country name, by Passport Power Rank and even by the color of their cover. Visa Free Score Passports accumulate points for each visa free country that their holders can visit without a visa, or they can obtain a visa on arrival. Passport Power Rank Passports are ranked based on their Visa Free Score. The higher the Visa Free Score, the better the Passport Power Rank. Methodology The country list is based on the 193 UN member countries and 6 territories (Macao, Kosovo, etc.) for a total of 199. Territories annexed to other countries such as Norfolk Island, French Polynesia, etc. are excluded. Data is based on research from publicly available sources, as well as information shared by government agencies.
    • كانون الأول 2018
      المصدر: World Intellectual Property Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 كانون الأول, 2018
      تحديد مجموعة بيانات
      Data cited at: "WIPO statistics database" which is made available under a BY 3.0 IGO License   Total Patent Applications Total Count by Applicant's Origin Zaire, officially the Republic of Zaire, was the name of Democratic Republic of the Congo between 1971 and 1997.
    • نيسان 2019
      المصدر: University of Groningen, Netherlands
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 أيار, 2019
      تحديد مجموعة بيانات
      PWT version 9.1 is a database with information on relative levels of income, output, input and productivity, covering 182 countries between 1950 and 2017.
    • أيلول 2017
      المصدر: Willis Towers Watson
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 تشرين الثاني, 2017
      تحديد مجموعة بيانات
      According to the research, North America showed the most noticeable annualised growth rate over the last five years, growing by 6.7% during the period. Europe and Asia-Pacific regions showed annualised growth rates of 3.1 % and 2.8% respectively. The U.S. continues to hold its position as the country with the largest share of pension assets across the top 300 funds, representing 38.6% spread across 134 funds. Meanwhile, Canada has overtaken the U.K. as the fifth largest country by share of pension fund assets, accounting for 5.4% (5.3% in 2015). The U.K. now accounts for 4.8%, falling from 5.4% of total assets in 2015. A total of 28 new funds have entered the ranking over the last five years, with the U.S. contributing the most new funds (13) on a net basis. Germany and Mexico experienced the highest net losses over the period, losing a net four funds each. The U.S. has the largest number of funds within the top 300 ranking (134), followed by the U.K. (26), Canada (18), Japan and Australia (both 16). Defined benefit (DB) assets increased by 5.6% in 2016, compared to 9.6% for defined contribution (DC) plans, 3.9% for reserve funds and an increase of 2.9% for hybrid funds. DB assets account for 65.5% of the disclosed total AUM, down from 65.9% in 2015, whilst DC assets have increased their share, rising from 21.5% in 2015 to 22.2%. Reserve funds remain relatively unchanged at 11.5% (11.7% in 2015), as do hybrid funds (0.8%, falling from 0.9% in 2015)
    • تشرين الثاني 2018
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 كانون الأول, 2018
      تحديد مجموعة بيانات
      This Dataset presents time series on receipts and payments of personal remittances in millions of dollars. These data are also shown as percentage of exports (receipts) and imports (payments) of goods and services, and as percentage of GDP. Personal remittances, as defined in this table, comply with the guidelines of the Balance of Payments and International Investment Position Manual, Sixth Edition (BPM6) (IMF 2009, Appendix 5). They are the sum of two items: (1.) compensation of employees, defined as the income of workers employed in an economy where they are not resident and of residents employed by non-resident employers; (2.) personal (current) transfers, defined as current transfers in kind or in cash, between resident and non-resident households (ibid., A5.5-7). A broader definition of personal remittances would include also capital transfers between resident and non-resident households (ibid., A5.10-13). However, data coverage for capital transfers is much sparser than for the two items above, as compilation of this item by countries is voluntary in the context of the balance of payment statistics. Therefore, capital transfers between resident and non-resident households are reported in this table separately. The main source of personal remittances data is World Bank. In cases of missing data, data from IMF or Economic Intelligence Unit have been imputed. Capital transfers data have been taken from IMF.
    • حزيران 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Resource Statistics - Pesticides Trade
    • أيلول 2019
      المصدر: ICC International Maritime Bureau
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Piracy and Armed Robbery against Ships
    • كانون الأول 2018
      المصدر: Political Terror Scale
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 كانون الثاني, 2019
      تحديد مجموعة بيانات
      citation: Gib­ney, Mark, Linda Cor­nett, Reed Wood, Peter Hasch­ke, and Daniel Arnon. 2016. The Polit­ic­al Ter­ror Scale 1976-2015. Date Re­trieved, from the Polit­ic­al Ter­ror Scale website: ht­tp://www.polit­ic­al­ter­rorscale.org.   Political Terror Scale Levels 1 - Coun­tries un­der a se­cure rule of law, people are not im­prisoned for their views, and tor­ture is rare or ex­cep­tion­al. Polit­ic­al murders are ex­tremely rare. 2 - There is a lim­ited amount of im­pris­on­ment for non­vi­ol­ent polit­ic­al activ­ity. However, few per­sons are af­fected, tor­ture and beat­ings are ex­cep­tion­al. Polit­ic­al murder is rare. 3 - There is ex­tens­ive polit­ic­al im­pris­on­ment, or a re­cent his­tory of such im­pris­on­ment. Ex­e­cu­tion or oth­er polit­ic­al murders and bru­tal­ity may be com­mon. Un­lim­ited de­ten­tion, with or without a tri­al, for polit­ic­al views is ac­cep­ted. 4 - Civil and polit­ic­al rights vi­ol­a­tions have ex­pan­ded to large num­bers of the pop­u­la­tion. Murders, dis­ap­pear­ances, and tor­ture are a com­mon part of life. In spite of its gen­er­al­ity, on this level ter­ror af­fects those who in­terest them­selves in polit­ics or ideas. 5 - Ter­ror has ex­pan­ded to the whole pop­u­la­tion. The lead­ers of these so­ci­et­ies place no lim­its on the means or thor­ough­ness with which they pur­sue per­son­al or ideo­lo­gic­al goals.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      This dataset contains the number of people by sex and age group per country.
    • أيلول 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 أيلول, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Population Estimates And Projections Publication: https://datacatalog.worldbank.org/dataset/population-estimates-and-projections License: http://creativecommons.org/licenses/by/4.0/   This database presents population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and sex and covers more than 200 economies.
    • آذار 2017
      المصدر: United Nations Human Settlements Programme
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 آب, 2017
      تحديد مجموعة بيانات
      This dataset covers the topics of Urban population and proportion of urban population living in slum area across countries & regions for the year of 1990-2014
    • تموز 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The FAOSTAT Population module contains time series data on population, by sex and urban/rural. The series consist of both estimates and projections for different periods as available from the original sources, namely: 1. Population data refers to the World Population Prospects: The 2015 Revision from the UN Population Division. 2. Urban/rural population data refers to the World Urbanization Prospects: The 2014 Revision from the UN Population Division. Long term series estimates and projections from 1961 to 2050. http://www.un.org/en/development/desa/population/
    • أيار 2015
      المصدر: Earth Policy Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2015
      تحديد مجموعة بيانات
      This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).
    • آذار 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 نيسان, 2019
      تحديد مجموعة بيانات
      The World Bank periodically prepares poverty assessments of countries in which it has an active program, in close collaboration with national institutions, other development agencies, and civil society, including poor people's organizations. Assessments report the extent and causes of poverty and propose strategies to reduce it. Countries have varying definitions of poverty, and comparisons can be difficult. National poverty lines tend to have higher purchasing power in rich countries, where standards used are more generous than in poor countries. Poverty measures based on an international poverty line attempt to hold the real value of the poverty line constant across countries, including when making comparisons over time. Data here includes measures of population living below the national poverty line as well as the international poverty line. Also included are income distributions and urban and rural poverty
    • تشرين الأول 2018
      المصدر: International Atomic Energy Agency
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2018
      تحديد مجموعة بيانات
      Data cited at: International Atomic Energy Agency   PRIS covers two kinds of data: general and design information on power reactors, and information about operating experience with nuclear power plants. General and design information covers all reactors that are in operation, under construction, or shut-down in IAEA Member States, and in Taiwan, China. Data on operating experience cover operational reactors, and historical data cover shutdown reactors, in IAEA Member States and in Taiwan, China. In these areas PRIS is considered the most complete and authoritative source of statistical data
    • كانون الأول 2016
      المصدر: International Telecommunication Union
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 آذار, 2017
      تحديد مجموعة بيانات
    • أيلول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 أيلول, 2019
      تحديد مجموعة بيانات
      This dataset covers only Cross-Country-Concepts - Portfolio Investment related indicators. Please visit Principal Global Indicators - Data by Indicator for other set of Principal Global Indicators. 
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Principal Global Indicators (PGI) dataset provides internationally comparable data for the Group of 20 economies (G-20) and economies with systemically important financial sectors that are not members of the G-20. The PGI facilitates the monitoring of economic and financial developments for these jurisdictions. Launched in 2009, the PGI website is hosted by the IMF and is a joint undertaking of the Inter-Agency Group of Economic and Financial Statistics (IAG).
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Private transactions are those undertaken by firms and individuals resident in the reporting country.
    • حزيران 2015
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 كانون الثاني, 2017
      تحديد مجموعة بيانات
      Privatization Database provides information on privatization transactions of at least US$1 million in developing countries from 2000 to 2008. Prior to this effort the most comprehensive information could be found in the World Bank’s Privatization Transactions database, which covered the years 1988 through 1999.
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • كانون الثاني 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 كانون الثاني, 2019
      تحديد مجموعة بيانات
      CropsCrop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Crop statistics are recorded for 173 products, covering the following categories: Crops Primary, Fibre Crops Primary, Cereals, Coarse Grain, Citrus Fruit, Fruit, Jute & Jute-like Fibres, Oilcakes Equivalent, Oil crops Primary, Pulses, Roots and Tubers, Treenuts and Vegetables and Melons. Data are expressed in terms of area harvested, production quantity, yield and seed quantity. The objective is to comprehensively cover production of all primary crops for all countries and regions in the world. Cereals: Area and production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed or silage or used for grazing are therefore excluded. Area data relate to harvested area. Some countries report sown or cultivated area only; however, in these countries the sown or cultivated area does not differ significantly in normal years from the area actually harvested, either because practically the whole area sown is harvested or because the area surveys are conducted around the harvest period.  Vegetables, total (including melons): Data relate to vegetable crops grown mainly for human consumption. Crops such as cabbages, pumpkins and carrots, when explicitly cultivated for animal feed, are therefore excluded. Statistics on vegetables are not available in many countries, and the coverage of the reported data differs from country to country. In general, it appears that the estimates refer to crops grown in field and market gardens mainly for sale, thus excluding crops cultivated in kitchen gardens or small family gardens mainly for household consumption. Fruit, total (excluding melons): Data refer to total production of fresh fruit, whether finally used for direct consumption for food or feed, or processed into different products: dry fruit, juice, jam, alcohol, etc. Generally, production data relate to plantation crops or orchard crops grown mainly for sale. Data on production from scattered trees used mainly for home consumption are not usually collected. Production from wild plants, particularly berries, which is of some importance in certain countries, is generally disregarded by national statistical services. Therefore, the data for the various fruits and berries are rather incomplete. Bananas and plantains: Figures on bananas refer, as far as possible, to all edible fruit-bearing species of the genus Musa except Musa paradisiaca, commonly known as plantain. Unfortunately, several countries make no distinction in their statistics between bananas and plantains and publish only overall estimates. When this occurs and there is some indication or assumption that the data reported refer mainly to bananas, the data are included. The production data on bananas and plantains reported by the various countries are also difficult to compare because a number of countries report in terms of bunches, which generally means that the stalk is included in the weight. Dates, plantains and total grapes are included in the “total fruit” aggregated figures, while olives are excluded. Treenuts: Production of nuts (including chestnuts) relates to nuts in the shell or in the husk. Statistics are very scanty and generally refer only to crops for sale. In addition to the kind of nuts shown separately, production data include all other treenuts mainly used as dessert or table nuts, such as pecan nuts, pili nuts, sapucaia nuts and macadamia nuts. Nuts mainly used for flavouring beverages are excluded as are masticatory and stimulant nuts and nuts used mainly for the extraction of oil or butter, including areca/betel nuts, cola nuts, illipe nuts, karite nuts, coconuts, tung nuts, oilpalm nuts etc. http://www.fao.org/faostat/en/#data/QCCrops processedThe dataset covers the following commodities: Beer of barley; Cotton lint; Cottonseed; Margarine, short; Molasses; Oil, coconut (copra); Oil, cottonseed; Oil, groundnut; Oil, linseed; Oil, maize; Oil, olive, virgin; Oil, palm; Oil, palm kernel; Oil, rapeseed; Oil, safflower; Oil, sesame; Oil, soybean; Oil, sunflower; Palm kernels; Sugar Raw Centrifugal; Wine.  http://www.fao.org/faostat/en/#data/QD
    • شباط 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 نيسان, 2019
      تحديد مجموعة بيانات
      The agricultural production domain covers: Quantity produced Producer price Value at farmgate (forthcoming) Area harvested Yield per hectare  
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis, i.e. each variable in the dataset is made publicly available as soon as it is updated in the OECD Annual National Accounts database. However, timely data issues may arise and affect individual series and/or individual countries. Sectors differ from each other with respect to their productivity growth. Understanding the drivers of productivity growth at the total economy level requires an understanding of the contribution of each sector. Data of real gross value added, labour compensation, hours worked and employment are sourced from the OECD Annual National Accounts.
    • أيلول 2019
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 أيلول, 2019
      تحديد مجموعة بيانات
      The property price statistics currently include data from 59 countries, and are available at different frequencies. The data differ significantly from country to country, for instance in terms of sources of information on prices, type of property, area covered, property vintage, priced unit, detailed compilation methods and seasonal adjustment. This reflects two facts. Firstly, that the processes associated with buying and selling a property and hence data available, vary between countries and secondly, that there are currently no specific international standards for property price statistics.   Data cited at : https://www.bis.org/statistics/index.htm
    • نيسان 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 نيسان, 2019
      تحديد مجموعة بيانات
      Eurostat's database covers 1) Production and trade in roundwood and wood products, including primary and secondary products 2) Economic data on forestry and logging, including employment data 3) Sustainable forest management, comprising forest resources (assets) and environmental data. The main types of primary forest products included in (1) are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. Secondary products include further processed wood and paper products. These products are presented in greater detail; definitions are available. All of the data are compiled from the Joint Forest Sector Questionnaire (JFSQ), except for table (e), which is directly extracted from Eurostat's international trade database COMEXT (HS/CN Chapter 44). The tables in (1) cover details of the following topics: - Roundwood removals and production by type of wood and assortment (a) - Roundwood production by type of ownership (b) - Production and trade in roundwood, fuelwood and other basic products (c) - Trade in industrial roundwood by assortment and species (d) - Tropical wood imports to the EU from Chapter 44 of the Harmonised System (e) - Production and trade in sawnwood, panels and other primary products (f) - Sawnwood trade by species (g) - Production and trade in pulp and paper & paperboard (h) - Trade in secondary wood and paper products (i) Data in (2) include the output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging.  The data are in current basic prices and are compatible with National Accounts. They are collected as part of Intergrated environmental and economic accounting for forests (IEEAF), which also covers labour input in annual work units (AWU).  Under (2), two separate tables cover the number of employees of forestry and logging, the manufacture of wood and products of wood and cork, and the manufacture of paper and paper products, as estimated from the Labour Force Survey results. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. More detailed information on wood products and accounting, including definitions and questionnaires, can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.  Data in (3) are not collected by Eurostat, but by the FAO, UNECE, Forest Euope, the European Commission's departments for Environment and the Joint Research Centre. They include forest area, wood volume, defoliation on sample plots, fires and areas with protective functions.
    • آذار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 آذار, 2019
      تحديد مجموعة بيانات
      This dataset contains Purchasing Power Parities (PPPs) for all OECD countries. PPPs are the rates of currency conversion that eliminate the differences in price levels between countries. Per capita volume indices based on PPP converted data reflect only differences in the volume of goods and services produced. Comparative price levels are defined as the ratios of PPPs to exchange rates. They provide measures of the differences in price levels between countries. The PPPs are given in national currency units per US dollar. The price levels and volume indices derived using these PPPs have been rebased on the OECD average. Per capita volume indices should not be used to rank countries as PPPs are statistical constructs rather than precise measures. Minor differences between countries should be interpreted with caution.
  • Q
    • كانون الثاني 2019
      المصدر: Quality of Government Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 شباط, 2019
      تحديد مجموعة بيانات
      Data cited at: The Quality of Government Institute; Teorell, Jan, Stefan Dahlberg, Sören Holmberg, Bo Rothstein, Natalia Alvarado Pachon & Richard Svensson. 2018. The Quality of Government Standard Dataset, version Jan18. University of Gothenburg: The Quality of Government Institute, http://www.qog.pol.gu.se doi:10.18157/QoGStdJan18   In the QoG Standard TS dataset, data from 1946 to 2018 is included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on).    
    • كانون الأول 2013
      المصدر: United Nations World Food Programme
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2017
      تحديد مجموعة بيانات
      Quantity Reporting: Measure food aid deliveries in metric tons
    • تشرين الأول 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Quarterly External Debt Statistics GDDS Publication: https://datacatalog.worldbank.org/dataset/quarterly-external-debt-statistics-gdds License: http://creativecommons.org/licenses/by/4.0/   The World Bank launched the new Quarterly External Debt Statistics (QEDS) GDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS GDDS database provides external debt data, starting from 2002Q4, for an extension of countries that participate in the IMF's General Data Dissemination System (GDDS).
    • تشرين الأول 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Quarterly External Debt Statistics SDDS Publication: https://datacatalog.worldbank.org/dataset/quarterly-external-debt-statistics-sdds License: http://creativecommons.org/licenses/by/4.0/   In October 2014, the World Bank launched the new Quarterly External Debt Statistics (QEDS) SDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS SDDS database provides detailed external debt data starting from 1998Q1. Data are published individually by countries that subscribe to the IMF’s Special Data Dissemination Standard (SDDS), as well as, GDDS participating countries that are in a position to produce the external debt data prescribed by the SDDS.
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      The OECD's quarterly national accounts (QNA) dataset presents data collected from all the OECD member countries and some other major economies on the basis of a standardised questionnaire as well as countries' own definitions and classifications. It contains a wide selection of generally seasonally adjusted quarterly series most widely used for economic analysis from 1960 or whenever available: - GDP expenditure and output approaches (current prices and volume estimates); - GDP income approach (current prices); - Gross fixed capital formation (current prices and volume estimates) broken down separately by type of asset or product and by institutional sector; - Disposable income and Real disposable income components; - Saving and net lending (current prices); - Population and Employment (in persons); - Employment by industry (in persons and hours worked); - Compensation of employees (current prices); - Household final consumption expenditure by durability (current prices and volume estimates). The main purpose of this dataset is to provide relevant, reliable, consistent, comparable and timely quarterly national accounts for OECD member countries, some non-member countries and some area totals for analytical purposes. All the OECD member countries compile their accounts according to the 2008 SNA. The non-member countries which are still producing national accounts according to the 1993 SNA will switch to the new 2008 SNA over the coming months/years. This will allow the improvement of cross-countries comparability.
    • آب 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 آب, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Quarterly Public Sector Debt Publication: https://datacatalog.worldbank.org/dataset/quarterly-public-sector-debt License: http://creativecommons.org/licenses/by/4.0/   Quarterly Public Sector Debt (QPSD) database, jointly developed by the World Bank and the International Monetary Fund, brings together detailed public sector debt data of selected countries. The QPSD database includes country and cross-country tables, and specific public debt components. The data represent the following sectors on an as-available basis: General government; otherwise Central government; otherwise Budgetary central government; Non Financial public corporations and Financial public corporations and a table presenting the total public sector debt.
  • R
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
      This table contains research and development (R&D) expenditure statistics on current domestic R&D and gross domestic R&D expenditures by sector of performance (business enterprise, government, higher education, private non-profit, and total intramural) and by type of R&D within each sector (basic research, applied research, experimental development, non-specified, and total activity). Unit of measure used - Data are provided in million national currency (for the euro zone, pre-EMU euro or EUR), million current PPP USD and million constant USD (2005 prices and PPPs).
    • آذار 2018
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 آذار, 2018
      تحديد مجموعة بيانات
      The REER (or Relative price and cost indicators) aim to assess a country's (or currency area's) price or cost competitiveness relative to its principal competitors in international markets. Changes in cost and price competitiveness depend not only on exchange rate movements but also on cost and price trends. The specific REER for the Sustainable Development Indicators is deflated by nominal unit labour costs (total economy) against a panel of 37 countries (= EU28 + 9 other industrial countries: Australia, Canada, United States, Japan, Norway, New Zealand, Mexico, Switzerland, and Turkey). Double export weights are used to calculate REERs, reflecting not only competition in the home markets of the various competitors, but also competition in export markets elsewhere. A rise in the index means a loss of competitiveness.
    • تشرين الأول 2015
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Global growth declined in the first half of 2015, reflecting a further slowdown in emerging markets and a weaker recovery in advanced economies. It is now projected at 3.1 percent for 2015 as a whole, slightly lower than in 2014, and 0.2 percentage point below the forecasts in the July 2015 World Economic Outlook (WEO) Update. Prospects across the main countries and regions remain uneven. Relative to last year, growth in advanced economies is expected to pick up slightly, while it is projected to decline in emerging market and developing economies. With declining commodity prices, depreciating emerging market currencies, and increasing financial market volatility, downside risks to the outlook have risen, particularly for emerging market and developing economies. Global activity is projected to gather some pace in 2016. In advanced economies, the modest recovery that started in 2014 is projected to strengthen further. In emerging market and developing economies, the outlook is projected to improve: in particular, growth in countries in economic distress in 2015 (including Brazil, Russia, and some countries in Latin America and in the Middle East), while remaining weak or negative, is projected to be higher next year, more than offsetting the expected gradual slowdown in China.
    • أيار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 أيار, 2019
      تحديد مجموعة بيانات
      The Regional Database contains annual data from 1995 to the most recent available year. The data collection is undertaken by the Directorate of Public Governance and Territorial Development, within the Regional Development Policy division (GOV/RDP). Statistics are collected through an annual questionnaire sent to the delegates of the Working Party on Territorial Indicators (WPTI), and through access to the web-sites of National Statistical Offices and Eurostat. The WPTI is responsible for developing regional (subnational) and urban statistics and providing analysis to support policy evaluations. The Regional Database includes statistics on the regional distribution of resources, regional disparities, and how regions contribute to national growth and the well-being of society. Under this framework, the Regional Database is one of the pillars for providing indicators to the publication OECD Regions at a Glance (link).
    • أيلول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 أيلول, 2019
      تحديد مجموعة بيانات
      The Regional Database contains annual data from 1995 to the most recent available year (generally 2014 for demographic and labour market data, 2013 for regional accounts, innovation and social statistics).   In any analytical study conducted at sub-national levels, the choice of the territorial unit is of prime importance. The territorial grids (TL2 and TL3) used in this database are officially established and relatively stable in all member countries, and are used by many as a framework for implementing regional policies. This classification - which, for European countries, is largely consistent with the Eurostat classification - facilitates greater comparability of regions at the same territorial level. The differences with the Eurostat NUTS classification concern Belgium, Greece and the Netherlands where the NUTS 2 level correspond to the OECD TL3 and Germany where the NUTS1 corresponds to the OECD TL2 and the OECD TL3 corresponds to 97 spatial planning regions (Groups of Kreise). For the United Kingdom the Eurostat NUTS1 corresponds to the OECD TL2. Due to limited data availability, labour market indicators in Canada are presented for a different grid (groups of TL3 regions). Since these breakdowns are not part of the OECD official territorial grids, for the sake of simplicity they are labelled as Non Official Grids (NOG).
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Registered Unemployment and Job Vacancies dataset is a subset of the Short-Term Labour Situation database, which contains predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and for selected other economies. There are basically two sources for unemployment statistics: labour force surveys and administrative data. Surveys are based on standard methodology and procedures used all over the world while administrative data are subject to national legislations which evolve through time. Consequently registered unemployment data are not comparable across countries. The relationship between survey and registered unemployment is not the same for all countries. Number of registered unemployed persons and registered unemployment rates are presented here because they are monthly and quickly available after their reference period. The job vacancies data provides estimates of the number of unfilled job vacancies across national economies. Series give an indication of the labour demand while the unemployment is linked with the labour supply.
    • تموز 2019
      المصدر: International Renewable Energy Agency
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2019
      تحديد مجموعة بيانات
      World : Renewable Electricity Capacity and Generation Statistics
    • شباط 2019
      المصدر: UNESCO Institute for Statistics
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 أيار, 2019
      تحديد مجموعة بيانات
    • تشرين الأول 2019
      المصدر: Reserve Bank of Australia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Reserve Bank of Australia Assets and Liabilities
    • تشرين الأول 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Residential Property Prices Indices (RPPIs) – also named House price indices (HPIs), are index numbers that measure the price of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. Among their professional uses, they serve, for example, to monitor macroeconomic imbalances and risk exposure of the financial sector. This dataset covers the 34 OECD member countries and some non-member countries. Please note that not all RPPIs are available for all countries. For instance, the RPPI at the most aggregate level for the United States only covers single-family dwellings, not all types of dwellings as it is the case for most other OECD countries. This dataset presents, for each country, the RPPI that is available at the most aggregate level. It mainly contains quarterly statistics. The dataset called “Residential Property Price Indices (RPPIs) – Complete dataset” contains the full list of available RPPIs. The dataset called “Analytical house price indicators” contains, in addition to nominal RPPIs, information on real house prices, rental prices and the ratios of nominal prices to rents and to disposable household income per capita. The datasets “Analytical house price indicators” and “Residential Property Price Indices (RPPIs) – Headline Indicators” do not refer to the same price indices for Brazil, Canada, China, Germany, the United States and the Euro area. These differences are further documented in country-specific metadata. For the United States, the series used in “Analytical house price indicators” is included in the dataset called “Residential Property Price Indices (RPPIs) – Complete database”, but is not the headline indicator. For all other countries, non-seasonally adjusted price indices in both datasets are identical in the period in which they overlap.For all other countries, non-seasonally adjusted price indices in both datasets are identical on the overlapping period.
    • أيلول 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 كانون الأول, 2018
      تحديد مجموعة بيانات
      Data on agricultural land-use are valuable for conducting studies on a various perspectives concerning agricultural production, food security and for deriving cropping intensity among others uses. Indicators derived from the land-use categories can also elucidate the environmental sustainability of countries’ agricultural practices. FAOSTAT Land-use statistics contain a wide range of information on variables that are significant for: understanding the structure of a country’s agricultural sector; making economic plans and policies for food security; deriving environmental indicators, including those related to investment in agriculture and data on gross crop area and net crop area which are useful for policy formulation and monitoring. Land-use resources sub-domain covers: Country area (including area under inland water bodies), Land area (excluding area under inland water bodies), Agricultural area, Arable land and Permanent crops, Arable land, Permanent crops, Permanent meadows and pastures, Forest area, Other land and Area equipped for irrigation. Detailed information on sub-categories: Temporary crops, Temporary meadows and pastures, Fallow land (temporary: less than 5 years), Permanent meadows and pastures cultivated and naturally grown and Organic land. Data are available from 1961 to 2009 for more than 200 countries and areas. Forest area: Global Forest Resource Assessment 2010 (FRA 2010) is the main source of forest area data in FAOSTAT. Data were provided by countries for years 1990, 2000, 2005 and 2010. Data for intermediate years were estimated for FAO using linear interpolation and tabulation. Some of the most interesting data for economists is found in this domain. The national distribution of land, among arable land, pastures and other lands, as well as the importance of irrigation are just some of the interesting data sets.
    • أيلول 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The Pesticides Use database includes data on the use of major pesticide groups (Insecticides, Herbicides, Fungicides, Plant growth regulators and Rodenticides) and of relevant chemical families. Data report the quantities (in tonnes of active ingredients) of pesticides used in or sold to the agricultural sector for crops and seeds. Information on quantities applied to single crops is not available.
    • كانون الأول 2017
      المصدر: United Nations Office on Drugs and Crime
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 أيلول, 2018
      تحديد مجموعة بيانات
      Price data may differ from data as reported due to conversions made by UNODC. Prices are collected in local currency but are presented here in US dollars for the purposes of comparability among countries. The conversion into US dollars is based on official UN rates. However, comparisons of prices from different years need to be made with caution as they are influenced by changes in the exchange rates and may not necessarily reflect changes in the local markets. While the same price can be meaningfully expressed in various units (e.g. per kilogram, per gram), the purchase unit as presented here (and as requested in the ARQ) is intended to approximate, to the extent allowed by the availability of information, the level at which transactions occur; thus a retail price, for example, would normally be expressed per gram even if reported per kilogram. On the other hand, the reporting unit is not converted if it is believed to represent the actual transaction level, except that non-standard units are converted when possible to the nearest available metric unit.
    • حزيران 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Greenhouse gas (GHG) emissions from rice cultivation consist of methane gas from the anaerobic decomposition of organic matter in paddy fields. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html) and the IPCC 2000 Good Practice Guidance and Uncertainty Management in National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/gp/english/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq. Implied emission factor for CH4 and activity data are also provided.
    • شباط 2019
      المصدر: Global Finance Magazine
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 نيسان, 2019
      تحديد مجموعة بيانات
    • آذار 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      Roundwood production (the term is used as a synonymous term for "removals") comprise all quantities of wood removed from the forest and other wooded land or other felling site during a certain period of time. It is reported in cubic metres underbark (i.e excluding bark).
    • آذار 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      Production and trade in wood and paper products: - Primary products: roundwood, sawnwood, chips, residues, pellets, veneers, glulam, wood-based panels, pulp, paper, recovered paper and paperboard - Secondary products: further processed wood and paper products (only trade value) Sources: questionnaire jointly used by Eurostat, FAO, UN ECE and ITTO (Joint Forest Sector Questionnaire, JFSQ, EU version with extra worksheets); Eurostat's trade database COMEXT for unreported data on trade and the table on imports of tropical wood; Eurostat's PRODCOM data for production totals of selected products.
    • آذار 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 آذار, 2019
      تحديد مجموعة بيانات
      Production and trade in wood and paper products: - Primary products: roundwood, sawnwood, chips, residues, pellets, veneers, glulam, wood-based panels, pulp, paper, recovered paper and paperboard - Secondary products: further processed wood and paper products (only trade value) Sources: questionnaire jointly used by Eurostat, FAO, UN ECE and ITTO (Joint Forest Sector Questionnaire, JFSQ, EU version with extra worksheets); Eurostat's trade database COMEXT for unreported data on trade and the table on imports of tropical wood; Eurostat's PRODCOM data for production totals of selected products.
    • آذار 2019
      المصدر: World Justice Project
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 نيسان, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Justice Project (WJP) The World Justice Project (WJP) Rule of Law Index® is a quantitative assessment tool designed by the World Justice Project to offer a detailed and comprehensive picture of the extent to which countries adhere to the rule of law in practice. Factors of the WJP Rule of Law Index include: 1. Constraints on Government Powers 2. Absence of Corruption 3. Open Government 4. Fundamental Rights 5. Order and Security 6. Regulatory Enforcement 7. Civil Justice 8. Criminal Justice (Data is collected for a 9th factor, Informal Justice, but it is not included in aggregated scores and rankings. This is due to the complexities of these systems and the difficulties in measuring their fairness and effectiveness in a matter that is both systematic and comparable across countries.) Every year WJP collects data from representative samples of the general public and legal professionals to compute the index scores. The data, once collected, are carefully processed to arrive at country-level scores. The respondent level data is first edited to exclude partially-completed surveys, suspicious data, and outliers. Individual answers are then mapped on to the 44 sub-factors of the index. Answers are coded so that all values fall between 0 (least rule of law) and 1 (most rule of law), and aggregated at country level using the simple, or unweighted, average of all respondents. Note: 2012-2013 values given for year 2013 and 2017-2018 given for year 2018.
  • S
    • تشرين الأول 2019
      المصدر: LMC Automotive
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Light Vehicle Sales & Production
    • أيار 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 أيار, 2019
      تحديد مجموعة بيانات
      Production and trade in wood and paper products: - Primary products: roundwood, sawnwood, chips, residues, pellets, veneers, glulam, wood-based panels, pulp, paper, recovered paper and paperboard - Secondary products: further processed wood and paper products (only trade value) Sources: questionnaire jointly used by Eurostat, FAO, UN ECE and ITTO (Joint Forest Sector Questionnaire, JFSQ, EU version with extra worksheets); Eurostat's trade database COMEXT for unreported data on trade and the table on imports of tropical wood; Eurostat's PRODCOM data for production totals of selected products.
    • آذار 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      Eurostat's database covers 1) Production and trade in roundwood and wood products, including primary and secondary products 2) Economic data on forestry and logging, including employment data 3) Sustainable forest management, comprising forest resources (assets) and environmental data. The main types of primary forest products included in (1) are: roundwood, sawnwood, wood-based panels, pulp, and paper and paperboard. Secondary products include further processed wood and paper products. These products are presented in greater detail; definitions are available. All of the data are compiled from the Joint Forest Sector Questionnaire (JFSQ), except for table (e), which is directly extracted from Eurostat's international trade database COMEXT (HS/CN Chapter 44). The tables in (1) cover details of the following topics: - Roundwood removals and production by type of wood and assortment (a) - Roundwood production by type of ownership (b) - Production and trade in roundwood, fuelwood and other basic products (c) - Trade in industrial roundwood by assortment and species (d) - Tropical wood imports to the EU from Chapter 44 of the Harmonised System (e) - Production and trade in sawnwood, panels and other primary products (f) - Sawnwood trade by species (g) - Production and trade in pulp and paper & paperboard (h) - Trade in secondary wood and paper products (i) Data in (2) include the output, intermediate consumption, gross value added, fixed capital consumption, gross fixed capital formation and different measures of income of forestry and logging.  The data are in current basic prices and are compatible with National Accounts. They are collected as part of Intergrated environmental and economic accounting for forests (IEEAF), which also covers labour input in annual work units (AWU).  Under (2), two separate tables cover the number of employees of forestry and logging, the manufacture of wood and products of wood and cork, and the manufacture of paper and paper products, as estimated from the Labour Force Survey results. There are two separate tables because of the change in the EU's classification of economic activities from NACE Rev. 1.1 to NACE Rev. 2 in 2008. More detailed information on wood products and accounting, including definitions and questionnaires, can be found on our open-access communication platform under the interest group 'Forestry statistics and accounts'.  Data in (3) are not collected by Eurostat, but by the FAO, UNECE, Forest Euope, the European Commission's departments for Environment and the Joint Research Centre. They include forest area, wood volume, defoliation on sample plots, fires and areas with protective functions.
    • كانون الثاني 2018
      المصدر: National Science Foundation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 شباط, 2018
      تحديد مجموعة بيانات
      Courtesy: National Science Foundation
    • آب 2019
      المصدر: Scimago Institutions Rankings
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 أيلول, 2019
      تحديد مجموعة بيانات
      The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators.  
    • آب 2019
      المصدر: Scimago Institutions Rankings
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Restrictions apply: https://www.scimagojr.com/aboutus.php   Citation: SCImago, (n.d.). SJR — SCImago Journal & Country Rank [Portal]. Retrieved Date you Retrieve, from http://www.scimagojr.com   SCImago Journal Rank: It expresses the average number of weighted citations received in the selected year by the documents published in the selected journal in the three previous years, --i.e. weighted citations received in year X to documents published in the journal in years X-1, X-2 and X-3. H Index: The h index expresses the journal's number of articles (h) that have received at least h citations. It quantifies both journal scientific productivity and scientific impact and it is also applicable to scientists, countries, etc. Total Documents: Output of the selected period. All types of documents are considered, including citable and non citable documents. Total Cites (3years): Number of citations received in the seleted year by a journal to the documents published in the three previous years, --i.e. citations received in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Self Cites: Number of journal's self-citations in the selected year to its own documents published in the three previous years, --i.e. self-citations in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Cited Documents: Number of documents cited at least once in the three previous years, --i.e. years X-1, X-2 and X-3 Cites per Document (2 years): Average citations per document in a 2 year period. It is computed considering the number of citations received by a journal in the current year to the documents published in the two previous years, --i.e. citations received in year X to documents published in years X-1 and X-2.
    • آذار 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      Production and trade in wood and paper products: - Primary products: roundwood, sawnwood, chips, residues, pellets, veneers, glulam, wood-based panels, pulp, paper, recovered paper and paperboard - Secondary products: further processed wood and paper products (only trade value) Sources: questionnaire jointly used by Eurostat, FAO, UN ECE and ITTO (Joint Forest Sector Questionnaire, JFSQ, EU version with extra worksheets); Eurostat's trade database COMEXT for unreported data on trade and the table on imports of tropical wood; Eurostat's PRODCOM data for production totals of selected products.
    • آذار 2018
      المصدر: U.S. Department of Commerce, Bureau of Economic Analysis
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 نيسان, 2018
      تحديد مجموعة بيانات
      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Foreign Affiliates in All Countries in Which Investment Was Reported
    • آب 2018
      المصدر: U.S. Department of Commerce, Bureau of Economic Analysis
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الأول, 2018
      تحديد مجموعة بيانات
      Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Majority-Owned Foreign Affiliates in All Countries in which Investment was Reported.
    • أيار 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 أيلول, 2019
      تحديد مجموعة بيانات
      This Dataset presents annual statistics on total international trade in services by individual country, geographical region and economic groups, expressed in millions of dollars. Percentages of the world total and the annual percentage changes are also indicated. International trade in total commercial services is included as a memo item. The data presented are the result of the common work of UNCTAD, World Trade Organization (WTO) and International Trade Center (ITC), and are published simultaneously by the three organizations.
    • تشرين الأول 2017
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 كانون الثاني, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Services Trade Restrictions Database Publication: https://datacatalog.worldbank.org/dataset/services-trade-restrictions-database License: http://creativecommons.org/licenses/by/4.0/ The Services Trade Restrictions Database collects information on applied services trade policies across 103 countries, 18 services sectors (covering telecommunications, finance, transportation, retail and professional services) and key modes of service supply. It contains qualitative policy information as well as a preliminary quantification of applied measures' restrictiveness. Data Coverage 2012-2016
    • آذار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 آذار, 2019
      تحديد مجموعة بيانات
      Trade in services drives the exchange of ideas, know-how and technology. It helps firms cut costs, increase productivity, participate in global value chains and boost competitiveness. Consumers benefit from lower prices and greater choice. However, international trade in services is often impeded by trade and investment barriers and domestic regulations. The Service Trade Restrictions Index (STRI) helps identify which policy measures restrict trade. It provides policy makers and negotiators with information and measurement tools to open up international trade in services and negotiate international trade agreements. It can also help governments identify best practice and then focus their domestic reform efforts on priority sectors and measures. The STRI indices take the value from 0 to 1, where 0 is completely open and 1 is completely closed. They are calculated on the basis of information in the STRI database which reports regulation currently in force.
    • أيلول 2018
      المصدر: Securities Industry and Financial Markets Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 كانون الأول, 2018
      تحديد مجموعة بيانات
      The SIFMA Fact Book is an annual reference containing comprehensive data on the securities industry, capital markets, market activity, investor participation, global markets, savings and investment, and much more. Note: 2018 and 2019 data is projection data
    • أيار 2019
      المصدر: Stockholm International Peace Research Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 أيار, 2019
      تحديد مجموعة بيانات
      Restrictions Apply: https://www.sipri.org/about/terms-and-conditions   Citation: Information from the Stockholm International Peace Research Institute (SIPRI), https://www.sipri.org/databases/milex   The SIPRI Military Expenditure Database contains consistent time series on the military spending of countries for the period 1949–2018. The database is updated annually, which may include updates to data for any of the years included in the database. Military expenditure in local currency at current prices is presented according to both the financial year of each country and according to calendar year, calculated on the assumption that, where financial years do not correspond to calendar years, spending is distributed evenly through the year. Figures in constant (2017) and current US $, as a share of GDP and per capita are presented according to calendar year. Figures as a share of government expenditure are presented according to financial year. The availability of data varies considerably by country, but for a majority of countries that were independent at the time, data is available from at least the late 1950s. Estimates for regional military expenditure have been extended backwards depending on availability of data for countries in the region, but no estimates for total world military expenditure are available before 1988 due to the lack of data for the Soviet Union.
    • تموز 2017
      المصدر: Johannes Kepler University
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 آذار, 2019
      تحديد مجموعة بيانات
      Data cited at: Shadow Economies around the World: New Results for 158 Countries over 1991-2015 by Friedrisch SCHNEIDER. Working Paper No. 1710 July 2017   Abstract: This paper is a first attempt to estimate the size and development of the shadow economy of 158 countries over the period 1991 up to 2015. Using the Multiple Indicators, Multiple Causes (MIMIC) method we apply for the first time (i) the light intensity approach instead of GDP avoiding the problem that quite often GDP is used as a cause and indicator variable, (ii) the Predictive Mean Matching (PMM) method, and (iii) a variety of robustness tests. Results suggest that the average size of the shadow economy of these 158 countries over 1991-2015 is 32.5% of official GDP, which was 34.82% in 1991 and decreased to 30.66% in 2015. The lowest size of the shadow economy East Asian countries with 16.77% averaged over the period 1991- 2015, then follows OECD countries with 18.7% and the highest value have Latin American and sub-Saharan African countries with values above 35%.
    • أيلول 2019
      المصدر: Social Progress Imperative
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الأول, 2019
      تحديد مجموعة بيانات
        Data cited at: Social Progress Index https://www.socialprogress.org/download The Social Progress Index is a new way to define the success of our societies. It is a comprehensive measure of real quality of life, independent of economic indicators. The Social Progress Index is designed to complement, rather than replace, economic measures such as GDP. Each year, Social Progress Imperative conducts a comprehensive review of all indicators included in the Social Progress Index framework to check data updates (which frequently include retroactive revisions) and whether new indicators have been published that are well-suited to describing social progress concepts. Such a review necessitates a recalculation of previously published versions of the Social Progress Index, as any removal or additions of indicators to the framework or changes due to retroactive revisions in data from the original data sources prevent comparability between previously published versions of the Social Progress Index and the 2019 Social Progress Index. Therefore, using the 2019 Social Progress Index framework and methodology, we provide comparable historical data for additional five years of the Social Progress Index, from 2014 to 2018.
    • كانون الأول 2015
      المصدر: Office of National Statistics, Mauritania
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 كانون الثاني, 2019
      تحديد مجموعة بيانات
      Data cited at: https://mauritania.opendataforafrica.org/MRSCD2015
    • آذار 2019
      المصدر: U.S. Department of Agriculture
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 آذار, 2019
      تحديد مجموعة بيانات
      World: Soybean Area, Yield and Production
    • أيلول 2018
      المصدر: Pew Research Center
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 حزيران, 2019
      تحديد مجموعة بيانات
      Methodological notes: > Survey results are based on national samples. > Due to rounding, percentages may not total 100%. The top-line “total” columns show 100%, because they are based on unrounded numbers.  
    • نيسان 2019
      المصدر: World Steel Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 حزيران, 2019
      تحديد مجموعة بيانات
      Data for 2019 and 2020 are forecast values. The World Steel Association (world steel) publishes a “Short Range Outlook (SRO)” twice annually. The SRO shows current year steel demand and forecasts demand for the next two years, covering the world, major regions, and the largest steel consuming countries.
    • كانون الأول 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 كانون الأول, 2018
      تحديد مجموعة بيانات
      Input-Output tables describe the sale and purchase relationships between producers and consumers within an economy. They can be produced by illustrating flows between the sales and purchases (final and intermediate) of industry outputs or by illustrating the sales and purchases (final and intermediate) of product outputs. The OECD Input-Output database is presented on the former basis, reflecting in part the collection mechanisms for many other data sources such as research and development Research and Development expenditure data, employment statistics, pollution data, energy consumption, which are in the main collected by enterprise or by establishment, and thus according to industry classifications.
    • كانون الأول 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 كانون الأول, 2018
      تحديد مجموعة بيانات
      Input-Output tables describe the sale and purchase relationships between producers and consumers within an economy. They can be produced by illustrating flows between the sales and purchases (final and intermediate) of industry outputs or by illustrating the sales and purchases (final and intermediate) of product outputs. The OECD Input-Output database is presented on the former basis, reflecting in part the collection mechanisms for many other data sources such as research and development Research and Development expenditure data, employment statistics, pollution data, energy consumption, which are in the main collected by enterprise or by establishment, and thus according to industry classifications.
    • نيسان 2019
      المصدر: National Association of Manufactures
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 آب, 2019
      تحديد مجموعة بيانات
      NAM stands for The National Association of Manufacturers, 2018 report Note: Annual reports are released twice per year.Initial report in the month of March.Revised report in the month of October.
    • آب 2016
      المصدر: Actionable Governance Indicators Data Portal
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 آب, 2016
      تحديد مجموعة بيانات
      Statistical Capacity Indicator has three dimensions: a). Statistical Methodology b). Source data and c). Periodicity and timeliness. For each dimension, a country is scored against specific criteria, using information available from the World Bank, IMF, UN, UNESCO, and WHO. A composite score for each dimension is calculated by adding criteria scores, ranges from 0 to 1, and multiplying by 10. And an overall score combining all three dimensions are derived for each country on a scale of 0-100 by taking average of these three dimensions. A score of 100 indicates that the country meets all the criteria. The first dimension, statistical methodology, Countries are evaluated against a set of criteria such as use of an updated national accounts base year, use of the latest BOP manual, external debt reporting status, subscription to IMF’s Special Data Dissemination Standard, and enrolment data reporting to UNESCO. The second dimension, source data, reflects whether a country conducts data collection activities in line with internationally recommended periodicity, and whether data from administrative systems are available and reliable for statistical estimation purposes. Specifically, the criteria used are the periodicity of population and agricultural censuses, the periodicity of poverty and health related surveys, and completeness of vital registration system coverage. The third dimension, periodicity and timeliness, looks at the availability and periodicity of key socioeconomic indicators, of which nine are MDG indicators. This dimension attempts to measure the extent to which data are made accessible to users through transformation of source data into timely statistical outputs. Criteria used include indicators on income poverty, child and maternal health, HIV/AIDS, primary completion, gender equality, access to water and GDP growth.
    • حزيران 2019
      المصدر: BP
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
      The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections.
    • أيلول 2018
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تشرين الثاني, 2018
      تحديد مجموعة بيانات
      Data cited at : https://www.bis.org/statistics/index.htm
    • تشرين الثاني 2018
      المصدر: World Steel Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 كانون الأول, 2018
      تحديد مجموعة بيانات
      World steel’s Steel Statistical Yearbook presents a cross-section of steel industry statistics. It contains comprehensive statistics from 2008 to 2017 on crude steel production by country and process, steel production by product, steel trade by product, apparent steel use and apparent steel use per capita by country, as well as production and trade of pig iron and directly reduced iron. It also includes data on production and trade of iron ore and trade of scrap. of steel and true steel use. The statistics were collected from members of world steel and various international organisations.
    • تشرين الأول 2019
      المصدر: Investing.com
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Stock Market Performance Indices
    • شباط 2019
      المصدر: Fraser Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 أيار, 2019
      تحديد مجموعة بيانات
      Data cited at: "Annual Survey of Mining Companies: 2016"@Fraser Institute   The Fraser Institute Annual Survey of Mining Companies was sent to approximately 4,100 exploration, development, and other mining-related companies around the world. Several mining publications and associations also helped publicize the survey. The survey, conducted from October 9, 2012, to January 6, 2013, represents responses from 742 of those companies. The companies participating in the survey reported exploration spending of US$6.2 billion in 2012 and US$ 5.4 billion in 2011.
    • حزيران 2016
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 تموز, 2019
      تحديد مجموعة بيانات
    • حزيران 2019
      المصدر: Sustainable Development Solutions Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تموز, 2019
      تحديد مجموعة بيانات
      Data Cited at - Sachs, J., Schmidt-Traub, G., Kroll, C., Lafortune, G., Fuller, G. (2019): Sustainable Development Report 2019. New York: Bertelsmann Stiftung and Sustainable Development Solutions Network (SDSN). The 2019 SDG Index and Dashboards report presents a revised and updated assessment of countries’ distance to achieving the Sustainable Development Goals (SDGs). It includes detailed SDG Dashboards to help identify implementation priorities for the SDGs. The report also provides a ranking of countries by the aggregate SDG Index of overall performance.
    • تشرين الثاني 2018
      المصدر: United Nations Statistics Division
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 كانون الأول, 2018
      تحديد مجموعة بيانات
      The Sustainable Development Goals Report 2018 reviews progress in the third year of implementation of the 2030 Agenda presenting an overview with charts and info-graphics of highlights of the 17 Goals, followed by chapters that focus in more depth on the Goals under review at the high-level political forum in July 2018. This report follows the recently published report of the United Nations Secretary-General on "Progress towards the Sustainable Development Goals" (E/2018/64), both of which are based on the global indicator framework developed by the Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs) and agreed by the General Assembly in July 2017 in resolution 71/313. The launch of The Sustainable Development Goals Report 2018 is accompanied by the Global SDG Indicators Database, which presents country level data and global and regional aggregates compiled through the UN System and other international organizations.
  • T
    • حزيران 2019
      المصدر: United Nations Economic Commission for Europe
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 حزيران, 2019
      تحديد مجموعة بيانات
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.
    • حزيران 2019
      المصدر: United Nations Economic Commission for Europe
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 حزيران, 2019
      تحديد مجموعة بيانات
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - administrative source. Country: Azerbaijan Data source: population and housing census. Country: Belarus The sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. Data source: population and housing census. Country: Georgia Data source: 2002 - population and housing census; 2011 and onwards - administrative source. Country: Kyrgyzstan Data source: population and housing census. Country: Moldova, Republic of ''Other'' includes a number of migrants for which the country is unknown. Data source: population register. Country: Russian Federation In 2010, the sum of the age groups does not correspond to the ''Total'' since the age was unknown for a number of persons. Data source: 2010 - population and housing census. Country: Tajikistan Data source: 2000, 2010 - population and housing census; 2011-2014 - source unspecified. Country: Ukraine In 2001, the sum of the age groups does not correspond to the ''Total'' since age was unknown for a number of persons. The population count does not include the territory of the Autonomous Republic of Crimea and the city of Sevastopol. The General Assembly has addressed the status of the Autonomous Republic of Crimea and the city of Sevastopol in resolution 68/262 of 27 March 2014. Data source: 2001 - population and housing census; 2011 and onwards - the annual estimate of the number of permanent residents as of January 1 carried out by the State Statistics Committee.
    • حزيران 2019
      المصدر: United Nations Economic Commission for Europe
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 حزيران, 2019
      تحديد مجموعة بيانات
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2001, 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained a permanent residence permit in Azerbaijan. Azer citizens returning from abroad are not included in the total number. Data source: residence permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Russian Federation 2011 break in series: the Russian Federation introduced a new methodology for estimating immigration. From 2011 onwards, the source of data on international migration (long-term immigration) is registration at the place of residence and at the place of stay for a period of 9 months or more in the bodies of the Ministry of Internal Affairs of Russia. Data source: administrative source. Country: Ukraine Data source: 2001 - population and housing census; 2011, 2012 - residence permits.
    • حزيران 2019
      المصدر: United Nations Economic Commission for Europe
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 حزيران, 2019
      تحديد مجموعة بيانات
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Definition: Unless noted otherwise, an international migrant is defined as any person who changes his or her country of usual residence. A long-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least a year. A short-term migrant is a person who moves to a country other than that of his or her usual residence for a period of at least 3 months but less than a year. Country: Armenia Data source: 2011 - population and housing census; 2015 and onwards - population register. Country: Azerbaijan Data indicate the number of persons who obtained an exit permit in Azerbaijan. Azer citizens are not included in the total number. Data source: exit permits. Country: Belarus Data source: residence permits. Country: Georgia From 2013, long-term migration refers to those who have left or moved to Georgia for at least 6 months. Data source: 2002 - population and housing census; 2012 and onwards - border cards. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation 2012 break in series: the Russian Federation introduced a new methodology for estimating emigration. From 2012 onwards, the source of data on international migration (long-term emigration) is registration at the place of residence and at the place of stay for a period of 9 months or more. Data source: administrative source. Country: Ukraine Data source: administrative source.
    • حزيران 2019
      المصدر: United Nations Economic Commission for Europe
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 حزيران, 2019
      تحديد مجموعة بيانات
      UNECE Clearing House on Migration Statistics is a platform for data exchange on migration statistics for countries of Eastern Europe, Caucasus and Central Asia (EECCA) established with the purpose of improving the understanding migration processes and the systems of measuring migration in the region. The data are presented as submitted by national statistical offices. For more information about the methodology of producing statistics on international migration in EECCA region, please refer to the UNECE Handbook on the Use of Administrative Sources and Sample Surveys to Measure International Migration in CIS Countries and the documentation of UNECE Workshops on Migration Statistics. Country: Azerbaijan Data source: residence permits. Country: Belarus Data source: administrative source. Country: Georgia Data source: civil register. Country: Kyrgyzstan Data source: administrative source. Country: Moldova, Republic of Data source: population register. Country: Russian Federation Data source: administrative source. Country: Ukraine Data source: administrative source.
    • كانون الثاني 2019
      المصدر: The Economist
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 نيسان, 2019
      تحديد مجموعة بيانات
      Data cited at: The Economist THE Big Mac index was invented by The Economist in 1986 as a lighthearted guide to whether currencies are at their “correct” level. It is based on the theory of purchasing-power parity (PPP), the notion that in the long run exchange rates should move towards the rate that would equalise the prices of an identical basket of goods and services (in this case, a burger) in any two countries. For example, the average price of a Big Mac in America in January 2018 was $5.28; in China it was only $3.17 at market exchange rates. So the "raw" Big Mac index says that the yuan was undervalued by 40% at that time.
    • تشرين الأول 2019
      المصدر: World Economic Forum
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Competitiveness Report Publication URL: http://reports.weforum.org/global-competitiveness-report-2019/downloads/ License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • نيسان 2018
      المصدر: PricewaterhouseCoopers
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 آذار, 2019
      تحديد مجموعة بيانات
      The Global Innovation 1000: Top 1000 R&D Spenders contains the listing of the 1000 publicly-traded companies worldwide that spent the most on R&D each of the previous years, ranked by the amount they spent on R&D.
      </