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تيمور الشرقية

  • الرئيس:Francisco Guterres
  • رئيس الوزراء:Taur Matan Ruak
  • العاصمة:Dili
  • اللغات:Tetum (official), Portuguese (official), Indonesian, English note: there are about 16 indigenous languages; Tetum, Galole, Mambae, and Kemak are spoken by a significant portion of the population
  • الحكومة
  • مكتب الإحصائيات القومي
  • السكان والأشخاص:1,267,972 (2018)
  • المساحة ، كم مربع:14,870
  • الناتج المحلي الإجمالي للفرد ، بالدولار الأمريكي:2,036 (2018)
  • الناتج المحلي الإجمالي ، مليار دولار أمريكي حالي:2.6 (2018)
  • مؤشر GINI:No data
  • تصنيف سهولة ممارسة الأعمال:178
All datasets:  3 A B C D E F G H I J L M N O P Q R S T U V W Y ا ت
  • 3
    • تشرين الأول 2016
      المصدر: Philipps-University of Marburg, Empirical Institutional Economics
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 كانون الأول, 2016
      تحديد مجموعة بيانات
      The 3P Anti-trafficking Policy Index evaluates governmental anti-trafficking efforts in the three main policy dimensions (3Ps), based on the requirements prescribed by the United Nations Protocol to Prevent, Suppress and Punish Trafficking in Persons, especially Women and Children (2000).   The three main policy dimensions (3Ps) are:Prosecution of perpetrators of human traffickingPrevention of human traffickingProtection of the victims of human trafficking Each of the 3P areas is evaluated on a 5-point scale and each index is aggregated to the overall 3P Anti-trafficking Index as the  sum (score 3-15).Prosecution Index Score: 1 (no compliance) - 5 (full compliance)Prevention Index Score: 1 (no compliance) - 5 (full compliance)Protection Index Score: 1 (no compliance) - 5 (full compliance)3P Anti-trafficking Policy Index Score: 3 (no compliance for any of the three areas) - 15 (full compliance for all of the three areas) The 3P Anti-trafficking Policy Index is available for each country and each year and currently includes up to 189 countries for the preiod from 2000 to 2015.
  • A
    • 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: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
    • آذار 2019
      المصدر: Chief Executives Board for Coordination, UN
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Agency Revenue By Government Donor for assessed revenue type
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • 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
    • أيار 2013
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 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
    • 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.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 تموز, 2019
      تحديد مجموعة بيانات
      Destination of Official Development Assistance Disbursements. Geographical breakdown by donor, recipient and for some types of aid (e.g. grant, loan, technical co-operation) on a disbursement basis (i.e. actual expenditures). The data cover flows from bilateral and multilateral donors which focus on flows from DAC member countries and the EU Institutions.
    • حزيران 2013
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 تشرين الثاني, 2014
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: All The Ginis Dataset Publication: https://datacatalog.worldbank.org/dataset/all-ginis-dataset License: http://creativecommons.org/licenses/by/4.0/   This dataset includes combined and standardized Gini data from eight original sources: Luxembourg Income Study (LIS), Socio-Economic Database for Latin America (SEDLAC), Survey of Living Conditions (SILC) by Eurostat, World Income Distribution (WYD; the full data set is available here), World Bank Europe and Central Asia dataset, World Institute for Development Research (WIDER), World Bank Povcal, and Ginis from individual long-term inequality studies (just introduced in this version).
    • 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.
    • كانون الثاني 2014
      المصدر: World Resources Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 كانون الأول, 2015
      تحديد مجموعة بيانات
      This dataset shows countries and river basins' average exposure to five of Aqueduct's water risk indicators: baseline water stress, interannual variability, seasonal variability, flood occurrence, and drought severity. Risk exposure scores are available for every country (except Greenland and Antarctica), the 100 most populous river basins, and the 100 largest river basins by area. Scores are also available for all industrial, agricultural, and domestic users' average exposure to each indicator in each country and river basin. Citation: Gassert, F., P. Reig, T. Luo, and A. Maddocks. 2013. “Aqueduct country and river basin rankings: a weighted aggregation of spatially distinct hydrological indicators.” Working paper. Washington, DC: World Resources Institute, November 2013. Available online at http://wri.org/publication/aqueduct-country-river-basin-rankings.
    • آب 2015
      المصدر: World Resources Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 آذار, 2019
      تحديد مجموعة بيانات
      Suggested citation: Luo, T., R. Young, and P. Reig. 2015. "Aqueduct projected water stress rankings." Technical note. Washington, DC: World Resources Institute, August 215. Available online at http://www.wri.org/publication/aqueduct-projected-water-stress-country-rankings.    Supplemental Materials: Country Scores                         WRI projected future country-level water stress for 2020, 2030, and 2040 under business-as-usual (BAU), optimistic, and pessimistic scenarios. Each tab lists country projected water stress scores for each scenario and year, weighted by overall water withdrawals. Scores weighted by individual sectors (agricultural, domestic, and industrial) are provided as well.   These global projections are best suited to making comparisons among countries for the same year and among scenarios and decades for the same region. More detailed and localized data or scenarios can better estimate potential outcomes for specific regions and expose large sub-national variations that are subsumed under countrywide water-stress values. The country indicators face persistent limitations in attempting to simplify complex information, such as spatial and temporal variations, into a single number. They also do not account for the governance and investment structure of the water sector in different countries.    It is important to note the inherent uncertainty in estimating any future conditions, particularly those associated with climate change, future population and economic trends, and water demand. Additionally, care should be taken when examining the change rates of a country’s projected stress levels between one year and another, because the risk-score thresholds are not linear. For more information on these limitations, see the technical note.   Projections are described in further detail in: Luck, M., M. Landis, and F. Gassert, “Aqueduct Water Stress Projections: Decadal Projections of Water Supply and Demand Using CMIP5 GCMs,” Technical note (Washington, DC: World Resources Institute, April 2015), http://www.wri.org/publication/aqueduct-water-stress-projections.   Water Stress withdrawals / available flow Water stress measures total annual water withdrawals (municipal, industrial, and agricultural) expressed as a percentage of the total annual available blue water. Higher values indicate more competition among users. Score Value [0-1) Low (<10%) [1-2) Low to medium (10-20%) [2-3) Medium to high (20-40%) [3-4) High (40-80%) [4-5] Extremely high (>80%)    
    • تشرين الثاني 2019
      المصدر: Knoema
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Source Dataset: Production, Supply and Distribution of Agricultural Commodities by Market Year Resource Statistics - Land
    • آذار 2019
      المصدر: Stockholm International Peace Research Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 19 آذار, 2019
      تحديد مجموعة بيانات
      Data cited at: Stockholm International Peace Research Institute (SIPRI)   The SIPRI Arms Transfers Database contains information on all transfers of major conventional weapons from 1950 to the most recent full calendar year. It is a unique resource for researchers, policy-makers and analysts, the media and civil society interested in monitoring and measuring the international flow of major conventional arms. For more information, see http://www.sipri.org/databases/armstransfers/sources-and-methods/
    • نيسان 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 نيسان, 2019
      تحديد مجموعة بيانات
      APD Regional Economic Outlook (REO) provides information on recent economic developments and prospects for countries in Asia and Pacific. Data for the REO for Asia and Pacific is prepared in conjunction with the semi-annual World Economic Outlook (WEO) exercises, spring and fall. Data are consistent with the projections underlying the WEO. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates.
    • تموز 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 تموز, 2018
      تحديد مجموعة بيانات
      This table presents data on average monthly earnings converted to a common currency. Data in U.S. dollars are converted from local currency using exchange rates, while data in constant 2011 U.S. dollars are converted using 2011 purchasing power parities (PPPs)   Dataset splitted into below datasets:-   Local Currency (Total) - https://knoema.com/EAR_TEAR_NOC_NB   Local Currency (Men) - https://knoema.com/EAR_MEAR_NOC_NB   Local Currency (Women) - https://knoema.com/EAR_FEAR_NOC_NB   Constant 2011 PPP $ (Total) - https://knoema.com/EAR_4MPT_NOC_NB   Constant 2011 PPP $ (Men) - https://knoema.com/EAR_4MPM_NOC_NB   Constant 2011 PPP $ (Women) - https://knoema.com/EAR_4MPW_NOC_NB
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The concept of earnings, as applied in wages statistics, relates to 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. This indicator is presented in terms of the average monthly earnings per employee, in local currency.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The concept of earnings, as applied in wages statistics, relates to 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. This indicator is presented in terms of the average monthly earnings per employee, in local currency. Manufacturing refers to ISIC-Rev. 4 Section C; ISIC-Rev. 3 Category D; or ISIC-Rev. 2 Major Division 2.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The concept of earnings, as applied in wages statistics, relates to 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. This indicator is presented in terms of the average monthly earnings per employee, in local currency, for men.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The concept of earnings, as applied in wages statistics, relates to 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. This indicator is presented in terms of the average monthly earnings per employee, in local currency, for women.
  • B
    • تشرين الأول 2019
      المصدر: Statistics Denmark
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • 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 2014
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Sandeep Reddy
      تم الوصول في: 08 شباط, 2016
      تحديد مجموعة بيانات
      UNCTAD's Bilateral FDI Statistics provides up-to-date and systematic FDI data for 206 economies around the world, covering inflows (table 1), outflows (table 2), inward stock (table 3) and outward stock (table 4) by region and economy. Data are in principle collected from national sources. In order to cover the entire world, where data are not available from national sources, data from partner countries (mirror data) as well as from other international organizations have also been used.
    • 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: Sandeep Reddy
      تم الوصول في: 03 أيار, 2019
      تحديد مجموعة بيانات
      BP Energy Outlook Charts Data Pack - 2019 edition The Energy Outlook considers different aspects of the energy transition and the key issues and uncertainties these raise.   In all the scenarios considered, world GDP more than doubles by 2040 driven by increasing prosperity in fast-growing developing economies. In the Evolving transition (ET) scenario this improvement in living standards causes energy demand to increase by around a third over the Outlook, driven by India, China and Other Asia which together account for two-thirds of the increase. Despite this increase in energy demand, around two-thirds of the world’s population in 2040 still live in countries where average energy consumption per head is relatively low, highlighting the need for ‘more energy’. Energy consumed within industry and buildings accounts for around three-quarters of the increase in energy demand. Growth in transport demand slows sharply relative to the past, as gains in vehicle efficiency accelerate. The share of passenger vehicle kilometres powered by electricity increases to around 25% by 2040, supported by the growing importance of fully-autonomous cars and shared-mobility services.
    • آذار 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      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.
  • C
    • تشرين الثاني 2019
      المصدر: Government of Canada
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      This dataset is updated with data obtained from Statistics Canada and the U.S. Census Bureau. Current data June 2018. Trade Data is updated on a monthly and annual basis, with revisions in March, April, May, August and November to previous year's data. Trade Data is available on both product and industry-based versions. The product Trade Data is classified by Harmonized System (HS) codes while the industry data is based on North American Industry Classification System(NAICS) classification codes. Source: Statistics Canada and the U.S.Census Bureau
    • تشرين الثاني 2019
      المصدر: Statistics Canada
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      For the location "Puerto Rico" data is available from 1990.
    • كانون الأول 2018
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Sandeep Reddy
      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."
    • 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.
    • شباط 2019
      المصدر: United Nations Children's Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 نيسان, 2019
      تحديد مجموعة بيانات
      Global and regional deaths of children under 5 years of age by cause. Estimates generated by the WHO and Maternal and Child Epidemiology Estimation Group (MCEE) 2018.
    • آب 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 آب, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
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    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
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    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
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    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
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    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
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    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
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    • 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.
    • آذار 2016
      المصدر: UNESCO Institute for Statistics
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2016
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    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
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    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
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    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
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    • آب 2019
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Sandeep Reddy
      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
    • تشرين الأول 2019
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 تشرين الأول, 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 الثاني 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الثاني, 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: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The FAOSTAT monthly CPI Food CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its sub components originates from the International Monetary Fund (IMF), and the UN Statistics Division(UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), the Latin America and the Caribbean statistics (CEPALSTAT), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB) and national statistical office website data are used for missing historical data from IMF and UNSD food CPI. The FAO CPI dataset for all items(or general CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The CPI,all items is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • 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.
    • 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.
    • آذار 2019
      المصدر: Chief Executives Board for Coordination, UN
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Chinese Taipei is WTO terminology for the territory referred to by the United Nations as Taiwan Province of China. Please also refer to the official announcement by WTO at www.wto.org/english/news_e/pres01_e/pr253_e.htm As of 2017, the data includes an additional six entities (CTBTO, ICC, UNCDF, UNFCCC, UNRISD, UNSSC)
    • نيسان 2015
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Sandeep Reddy
      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.
    • 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
    • آب 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The World Bank's Country Policy and Institutional Assessment is done annually for all its borrowing countries. It has evolved into a set of criteria, which are grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The number of criteria, currently sixteen, reflect a balance between ensuring that all key factors that foster pro-poor growth and poverty alleviation are captured, without overly burdening the evaluation process. Ratings for each of the criteria reflect a variety of indicators, observations, and judgments. They focus on the quality of each country's current policies and institutions - which are the main determinant of present aid effectiveness prospects. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IDA Resource Allocation Index (IRAI)
    • نيسان 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 أيار, 2018
      تحديد مجموعة بيانات
      Note: CPA data for 2018 and 2019 are projections from the 2016 Survey on Forward Spending Plans. 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
    • 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
    • أيار 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      The Credit to Agriculture dataset provides national data for over 100 countries on the amount of loans provided by the private/commercial banking sector to producers in agriculture, forestry and fisheries, including household producers, cooperatives, and agro-businesses. For some countries, the three sub sectors of agriculture, forestry, and fishing are completely specified. In other cases, complete dis aggregations are not available. The dataset also provides statistics on the total credit to all industries, indicators on the share of credit to agricultural producers, and an agriculture orientation index (the agriculture share of credit, over the agriculture share of GDP).
    • 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: Sandeep Reddy
      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
    • حزيران 2019
      المصدر: United Nations Statistics Division
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 حزيران, 2019
      تحديد مجموعة بيانات
      The United Nations Statistics Division collects, compiles and disseminates official demographic and social statistics on a wide range of topics. Data have been collected since 1948 through a set of questionnaires dispatched annually to over 230 national statistical offices and have been published in the Demographic Yearbook collection. The Demographic Yearbook disseminates statistics on population size and composition, births, deaths, marriage and divorce, as well as respective rates, on an annual basis. The Demographic Yearbook census datasets cover a wide range of additional topics including economic activity, educational attainment, household characteristics, housing characteristics, ethnicity, language, foreign-born and foreign population. The available Population and Housing Censuses' datasets reported to UNSD for the censuses conducted worldwide since 1995, are now available in UNdata. This latest update includes several datasets on international travel and migration inflows and outflows, and on incoming and departing international migrants by several characteristics, as reported by the national authorities to the UN Statistics Division for the reference years 2010 to the present as available.
    • 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.
    • كانون الثاني 2012
      المصدر: General Directorate of Statistics, Timor-Leste
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 أيار, 2014
      تحديد مجموعة بيانات
      Development Statistics of Timor-Leste, 2014
    • كانون الأول 2007
      المصدر: International Telecommunication Union
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 أيار, 2019
      تحديد مجموعة بيانات
      The Digital Opportunity Index (DOI) is the only index that includes price data for 181 economies, which is vital in assessing effective market demand. The Digital Opportunity Index (DOI) has been designed to as a tool for tracking progress in bridging the digital divide and the implementa- tion of the outcomes of the World Summit on the Information Society (WSIS). As such, it provides a powerful policy tool for exploring the global and regional trends in infrastructure, opportu- nity and usage that are shaping the Information Society.
    • آب 2019
      المصدر: The Central Bank of the Russian Federation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 أيلول, 2019
      تحديد مجموعة بيانات
    • تموز 2018
      المصدر: U.S. Department of Commerce, Bureau of Economic Analysis
      تم التحميل بواسطة: Sandeep Reddy
      تم الوصول في: 10 آب, 2018
      تحديد مجموعة بيانات
      Direct Investment Position Abroad on a Historical-Cost Basis:  Country Detail by Industry, United States
    • 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Discouraged job-seekers refer to those persons of working age who during a specified reference period were without work and available for work, but did not look for work in the recent past for specific reasons (for example, believing that there were no jobs available, believing there were none for which they would qualify, or having given up hope of finding employment). The working age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • آب 2019
      المصدر: World Health Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آب, 2019
      تحديد مجموعة بيانات
      Note: All data contained within is provisional. The annual number of cases of measles and rubella officially reported by a member state is only available by July of each following year (through the joint WHO UNICEF annual data collection exercise). “provisional data based on monthly data reported to WHO (Geneva) as of April 2019”. Measles cases are defined as laboratory confirmed, epidemiologically linked, and clinical cases as reported to the World Health Organization. Some countries report cases at irregular intervals, providing multiple months of data in a one month period. Future months are reported as 0 and will be updated as data is available. When data is used in public settings, please acknowledge the data source is the World Health Organization.
    • كانون الأول 2008
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Peter Speyer
      تحديد مجموعة بيانات
      IHME research, published in the Lancet in 2008. The study, Tracking progress towards universal childhood immunizations and the impact of global initiatives, provides estimates with confidence intervals of the coverage of three-dose diphtheria, tetanus, and pertussis (DTP3) vaccination. The estimates take into account all publicly available data, including data from routine reporting systems and nationally representative surveys.
  • E
    • 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.
    • كانون الأول 2015
      المصدر: United Nations Development Programme
      تم التحميل بواسطة: Misha Gusev
      تحديد مجموعة بيانات
      Calculated using Mean Years of Schooling and Expected Years of Schooling.
    • 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.
    • كانون الأول 2016
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
    • 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
    • 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.
    • كانون الأول 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Greenhouse gas (GHG) emissions data from cropland are currently limited to emissions from cropland organic soils. They are those associated with carbon losses from drained histosols under cropland. 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/vol5.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • كانون الأول 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Annual net CO2 emission/removal from Forest Land consist of net carbon stock gain/loss in the living biomass pool (aboveground and belowground biomass) associated with Forest and Net Forest Conversion. 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) and using area and carbon stocks data compiled by countries in the FAO Global Forest Resource Assessments (http://www.fao.org/forestry/fra/en/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net stock change Gg C, net emissions/removals Gg CO2 and CO2eq, by forest or net forest conversion and by aggregate (forest land). Implied emission factor for CO2 as well as activity data (area, net area difference, total forest area and carbon stock in living biomass) are also given.
    • كانون الأول 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Greenhouse gas (GHG) emissions data from grassland are currently limited to emissions from grassland organic soils. They are those associated with carbon losses from drained histosols under grassland. 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/vol6.html). GHG emissions are provided by country, region and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as net emissions/removal Gg CO2 and Gg CO2eq. Implied emission factor for C, net stock change Gg C and activity data (area) are also provided.
    • أيار 2019
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Land Use Total contains all GHG emissions and removals produced in the different Land Use sub-domains, representing the three IPCC Land Use categories: cropland, forest land, and grassland, collectively called emissions/removals from the Forestry and Other Land Use (FOLU) sector. FOLU emissions consist of CO2 (carbon dioxide), CH4 (methane) and N2O (nitrous oxide) associated with land management activities. CO2 emissions/removals are derived from estimated net carbon stock changes in above and below-ground biomass pools of forest land, including forest land converted to other land uses. CH4 and N2O, and additional CO2 emissions are estimated for fires and drainage 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/index.html). GHG emissions are provided as by country, regions and special groups, with global coverage, relative to the period 1990-present (with annual updates), expressed as Gg CO2eq from CH4 and N2O, net emissions/removals as GG CO2 and Gg CO2eq, by underlying land use emission sub-domain and by aggregate (land use total).
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • نيسان 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيار, 2019
      تحديد مجموعة بيانات
      Employed migrants refer to the number of persons who changed their country of usual residence and were also employed during a specified brief period. Data are disaggregated by country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 and occupation, according to the latest versions of the International Standard Industrial Classification of All Economic Activities (ISIC) and International Standard Classification of Occupations (ISCO), respectively. 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. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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, and presented for categories at the 2-digit level of the classification. 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.
    • آب 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيلول, 2018
      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, and presented for a selection of categories at the 2-digit level of the classification. 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 provided by institutional sector, which refers to disaggregations by public and private sector employment. Public sector employment covers employment in the government sector plus employment in publicly-owned resident enterprises and companies, operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, regardless of the particular type of employment contract. Private sector employment comprises employment in all resident units operated by private enterprises, that is, it excludes enterprises controlled or operated by the government sector.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for categories at the 2-digit level of the classification. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • آب 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيلول, 2018
      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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for a selection of categories at the 2-digit level of the classification. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 weekly hours actually worked, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • تشرين الثاني 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الثاني, 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 and occupation, according to the latest versions of the International Standard Industrial Classification of All Economic Activities (ISIC) and International Standard Classification of Occupations (ISCO), respectively. 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. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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).
    • 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 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, which 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. 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 indicator description and the ILO estimates and projections methodological note.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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, and presented for categories at the 2-digit level of the classification. 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.
    • آب 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيلول, 2018
      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, and presented for a selection of categories at the 2-digit level of the classification. 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCED).
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 provided by institutional sector, which refers to disaggregations by public and private sector employment. Public sector employment covers employment in the government sector plus employment in publicly-owned resident enterprises and companies, operating at central, state (or regional) and local levels of government. It covers all persons employed directly by those institutions, regardless of the particular type of employment contract. Private sector employment comprises employment in all resident units operated by private enterprises, that is, it excludes enterprises controlled or operated by the government sector.
    • 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 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO). Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person. 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 indicator description and the labour force estimates and projections methodological paper. 
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for a selection of categories at the 2-digit level of the classification. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • آب 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيلول, 2018
      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). Data are disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for a selection of categories at the 2-digit level of the classification. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • 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). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are disaggregated by weekly hours actually worked, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. Data are also 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. Data are also disaggregated by occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 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, which 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 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, which 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. 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 indicator description and the ILO estimates and projections methodological note.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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, which 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are disaggregated by level of education, which refers to the highest levelof education completed, classified according to the International Standard Classification of Education (ISCE).
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are disaggregated by weekly hours actually worked, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 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, which 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 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO). Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person. 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 indicator description and the labour force estimates and projections methodological paper. 
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO). Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 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, which 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). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have. 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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). Data are disaggregated by status in employment according to the latest version of the International Standard Classification of Status in Employment (ICSE-93). Status in employment refers to the type of explicit or implicit contract of employment the person has with other persons or organizations. The basic criteria used to define the groups of the classification are the type of economic risk and the type of authority over establishments and other workers which the job incumbents have or will have.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population.
    • حزيران 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 تموز, 2019
      تحديد مجموعة بيانات
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. 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 indicator description and the ILO estimates and projections methodological note.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age populion. Data by level of education are provided on the highest level of education completed.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The employment-to-population ratio is the number of persons who are employed as a percent of the total of working age population.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. Data provided only refers to males.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The employment-to-population ratio expresses the number of persons who are employed as a percent of the total working age population. Data provided only refers to females.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • أيار 2018
      المصدر: Federal Institute for Geosciences and Natural Resources
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 أيار, 2018
      تحديد مجموعة بيانات
    • آذار 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 آذار, 2019
      تحديد مجموعة بيانات
      This dataset presents the number of students enrolled in different education programmes by country of origin and sex.
    • 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.
    • تشرين الأول 2019
      المصدر: Australian Bureau of Statistics
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only. Population_Estimates:_Concepts,_Sources_and_Methods_2009
    • شباط 2019
      المصدر: Australian Bureau of Statistics
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 شباط, 2019
      تحديد مجموعة بيانات
      The estimated resident population (ERP) is the official measure of the Australian population. This dataset contains annual ERP by country of birth, age and sex at the Australia level. At the state/territory level it is available for Census years only.
    • أيلول 2015
      المصدر: Knoema
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 أيلول, 2015
      تحديد مجموعة بيانات
    • تشرين الأول 2015
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Recent exchange rate movements have been unusually large, triggering a debate regarding their likely effects on trade. Historical experience in advanced and emerging market and developing economies suggests that exchange rate movements typically have sizable effects on export and import volumes. A 10 percent real effective depreciation in an economy’s currency is associated with a rise in real net exports of, on average, 1.5 percent of GDP, with substantial cross-country variation around this average. Although these effects fully materialize over a number of years, much of the adjustment occurs in the first year. The boost to exports associated with currency depreciation is found to be largest in countries with initial economic slack and with domestic financial systems that are operating normally. Some evidence suggests that the rise of global value chains has weakened the relationship between exchange rates and trade in intermediate products used as inputs into other economies’ exports. However, the bulk of global trade still consists of conventional trade, and there is little evidence of a general trend toward disconnect between exchange rates and total exports and imports.
    • 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).
    • تشرين الثاني 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualisation.
    • تموز 2019
      المصدر: State Statistical Office, Republic of North Macedonia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 10 تموز, 2019
      تحديد مجموعة بيانات
      Methodological explanationsSymbols usedSource: State Statistical Office, Year 2018M12, preliminary data
    • كانون الأول 2015
      المصدر: National Center for Statistics and Economic Studies, Republic of Congo
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تموز, 2019
      تحديد مجموعة بيانات
      Data cited at: https://rcongo.opendataforafrica.org/TREOC2015 This Dataset describes the list of common indicators from Trade External Data Of Congo
  • F
    • 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
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 نيسان, 2019
      تحديد مجموعة بيانات
    • 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
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تموز, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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 working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. 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. For more information, refer to the ILO estimates and projections methodological note.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Data refers to the number of women employed in the agricultural sector as a percent of total employment in agriculture
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Data refers to the number of women employed in the industry sector as a percent of total employment in industry.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The female share of employment in managerial positions conveys the number of women in management as a percentage of employment in management. Employment in management is defined based on the International Standard Classification of Occupations. Two different measures are presented: one referring to total management (category 1 of ISCO-08 or ISCO-88), and another one referring to senior and middle management only, thus excluding junior management (category 1 in both ISCO-08 and ISCO-88 minus category 14 in ISCO-08 and minus category 13 in ISCO-88). This indicator is calculated based on data on employment by sex and occupation. For further information, see the SDG Indicators Metadata Repository or ILOSTAT's indicator description.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Data provided refers to the number of women employed in the services sector as a percent of total employment in services.
    • كانون الأول 2017
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 2019
      تحديد مجموعة بيانات
      The dataset contains data on Import and Export Value (expressed in 1000 USD) for a selected list of fertilizers, from 1961 on wards. Country and country aggregate data are available. The fertilizers covered are: Nitrogenous fertilizers; Phosphate fertilizers; Potash fertilizers; Fertilizers Manufactured, nes; Fertilizers, Organic; Natural Phosphates; Natural Potassic Salts; Natural Sodium Nitrate.
    • تموز 2019
      المصدر: International Federation of Association Football
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 آب, 2019
      تحديد مجموعة بيانات
      Monthly updates of FIFA World Football Men's Ranking 
    • آب 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 31 آب, 2018
      تحديد مجموعة بيانات
      This indicator is a proxy for the quality of health care. It represents the percentage of the population without access to health care due to financial resource deficit. The threshold for having sufficient financial resources is US$239 per person per year. A higher figure indicates worse levels of coverage. To estimate the quality of health care, this indicator uses as a proxy the relative difference between per capita health expenditure in a given country and its median value in countries with a low level of vulnerability.To establish whether a country is spending 'enough' or has 'enough' key health workers, it is necessary first to define what constitutes 'enough', i.e. set a threshold against which a country's performance can be compared. Opinions differ on what constitutes 'enough' in these contexts, not least because it is likely to be a moving target, influenced by prevailing health issues, demography etc. The ILO's approach for measuring financial deficit is to: (i) calculate the median expenditure on health (excluding OOP) in low-vulnerability countries, then (ii) for each country, compare spending against this median. In 2014, the median in low-vulnerability countries was US$239. For example, a country spending 50% less than the median in low-vulnerability countries has a financial deficit of 50%. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • 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.
    • أيلول 2017
      المصدر: United Nations World Food Programme
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 كانون الأول, 2017
      تحديد مجموعة بيانات
      IRMA is computed on one representative ton of the food aid basket the user has selected. The "representativity" of the ton comes from the fact that the shares of the commodities are the same as those in the total selected food basket. Therefore it can be used for comparisons among food aid baskets of different size and in understanding how much of their difference in nutritional content is due to the absolute value in metric tons of the donations and how much is due to the nutritional qualities of food delivered.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • أيلول 2017
      المصدر: United Nations World Food Programme
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 كانون الأول, 2017
      تحديد مجموعة بيانات
      The energy intake of a human being is the only one among the nutrients that cannot in the short run be renounced without putting at immediate risk the possibility of survival itself. A lack of other nutrients increases susceptibility to infections and slows cognitive development and growth, contributing to poorer school performance and reduced work productivity. These effects are largely irreversible and long term, particularly when they occur at a young age. For these reasons, the IRMAs computation takes the content of Energy as a benchmark to compare with the other nutrients' content. For the calculation of IRMAs, we start with the IRMA values for each nutrient. IRMA of a nutrient counts the number of average individuals that could potentially be satisfied by the nutrient contained in a ton of food aid.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • أيلول 2017
      المصدر: United Nations World Food Programme
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 كانون الأول, 2017
      تحديد مجموعة بيانات
      IRMAt (Individual Requirements Met on Average, Total) can be considered an alternative measure for food aid deliveries. By knowing how many tons of which commodity are contained in the food aid basket, it is easy to compute how many micrograms of nutrients there are in the overall basket. But, a measure like that would not be easy to interpret. Furthermore, each nutrient is measured in a different unit (for example, vitamin C is measured in micrograms and fat is measured in grams). IRMAt 'standardizes' the nutritional content of food aid by taking it as a percentage of human nutritional requirements. IRMAt of a nutrient is nothing but the number of individual requirements that could potentially be met on an annual basis by the total food aid deliveries selected. IRMAt values are descriptive of a food aid basket and are dependent on the absolute value in tonnage. They give information that reflects both nutritional content and the size of the food aid deliveries. From this point of view IRMAt can be considered a unit of measurement for food aid flows: it measures food aid basket by the number of average individuals that its nutritional content could potentially satisfy.   IRMA, IRMAs and IRMAt provide only information on their 'nutritional potential' of meeting average requirements.
    • 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.
    • كانون الثاني 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 حزيران, 2019
      تحديد مجموعة بيانات
      Commodity balances show balances of food and agricultural commodities in a standardized form. The scope of standardization is to present these data in a less detailed form for a selected number of commodities without causing any significant loss of the basic variables monitoring the agricultural sector. The selected commodities include the equivalents of their derived products falling in the same commodity group, but exclude the equivalents of by-products and derived commodities, which through processing, change their nature and become part of different commodity groups. A number of commodity/item aggregates have been included to offer synthetic information. Some of these are included with the aim of simplifying the extraction of all component commodities. Data shown in the item aggregates represent the sum of the component commodities as presented in this domain (standardized form). Commodity coverage: The commodity list in this domain has been generally confined to primary commodities - except for sugar, oils and fats and beverages. Whenever possible trade in processed commodities is expressed in the originating primary commodity equivalent. Rice is expressed in milled equivalent.
    • 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.
    • أيلول 2014
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 تشرين الأول, 2014
      تحديد مجموعة بيانات
      The number of students enrolled refers to the count of students studying in the reference period. Each student enrolled in the education programmes covered by the corresponding category is counted once and only once. National data collection systems permitting, the statistics reflect the number of students enrolled at the beginning of the school / academic year. Preferably, the end (or near-end) of the first month of the school / academic year is chosen (special arrangements are made for part-year students who may not start studies at the beginning of the school year). Students are classified as foreign students (non-citizens) if they are not citizens of the country in which the data are collected. While pragmatic and operational, this classification is inappropriate for capturing student mobility because of differing national policies regarding the naturalisation of immigrants. Countries that have lower propensity to grant permanent residence to its immigrant populations are likely to report second generation immigrants as foreign students. Therefore, for student mobility and bilateral comparisons, interpretations of data based on the concept of foreign students should be made with caution. Students are classified as international students if they left their country of origin and moved to another country for the purpose of study. Depending on country-specific immigration legislation, mobility arrangements, and data availability, international students may be defined as students who are not permanent or usual residents of their country of study or alternatively as students who obtained their prior education in a different country, including another EU country.
    • تموز 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 آب, 2019
      تحديد مجموعة بيانات
    • آب 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Sandeep Reddy
      تم الوصول في: 14 تشرين الثاني, 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.
    • تشرين الثاني 2019
      المصدر: U.S. Census Bureau
      تم التحميل بواسطة: Sandeep Reddy
      تم الوصول في: 08 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • أيار 2018
      المصدر: World Trade Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 نيسان, 2019
      تحديد مجموعة بيانات
      World Bank/WTO/UNCTAD - Annual Trade in Services Dataset
    • 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
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 تشرين الأول, 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: Sandeep Reddy
      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)
    • نيسان 2019
      المصدر: Fund for Peace
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 أيار, 2019
      تحديد مجموعة بيانات
      Data cited at: Fragile States Index - https://fragilestatesindex.org/ The FSI focuses on the indicators of risk and is based on thousands of articles and reports that are processed by our CAST Software from electronically available sources. Measures of fragility, like Demographic Pressures,Refugees and IDPs and etc., have been scaled on 0 to 10 where 10 is highest fragility and 0 no fragility.
    • 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.
    • نيسان 2012
      المصدر: Agi Data
      تم التحميل بواسطة: Knoema
      تحديد مجموعة بيانات
      Experts commonly support the notion that access to information is integral to the promotion of participation, transparency and accountability in any given society. A freedom of information framework aims at improving the efficiency of the government and increasing the transparency of its functioning by: 1. Regularly and reliably providing government documents to the public; 2. Educating the public on the significance of transparent government;3. Facilitating appropriate and relevant use of information in the lives of individuals
    • نيسان 2017
      المصدر: Freedom House
      تم التحميل بواسطة: Sandeep Reddy
      تم الوصول في: 09 تشرين الأول, 2018
      تحديد مجموعة بيانات
      Variables converted from character to numeric as follow:Variables under consideration are top 3 vars i.e. Status, print and Broadcast 1 = Free (F) 2 = Partly Free (PF) 3 = Not Free (NF) Under source it values are present like: "F" , "PF" and "NF"  Note:- Date range has been considered as follow: Jan.1981-Aug.1982 is considered as 1982 Aug.1982-Nov.1983 is considered as 1983 Nov.1983-Nov.1984 is considered as 1984 Nov.1984-Nov.1985 is considered as 1985 Nov.1985-Nov.1986 is considered as 1986 Nov.1986-Nov.1987 is considered as 1987   About Freedom of the press: Freedom of the Press, an annual report on media independence around the world which assesses the degree of print, broadcast, and digital media freedom in 199 countries and territories. Published since 1980, it provides numerical scores and country narratives evaluating the legal environment for the media, political pressures that influence reporting, and economic factors that affect access to news and information. Freedom of the Press is the most comprehensive data set available on global media freedom and serves as a key resource for policymakers, international institutions, journalists, activists, and scholars worldwide.
  • G
    • أيلول 2017
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الثاني, 2017
      تحديد مجموعة بيانات
      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for obesity and overweight prevalence and the disease burden attributable to high body mass index (BMI) were produced by sex, age group, and year for 195 countries and territories. Estimates for high BMI-attributable deaths, DALYs, and other measures (1990-2015) are available from the GBD Results Tool. Files available in this record include obesity and overweight prevalence estimates for 1980-2015. Study results were published in The New England Journal of Medicine in June 2017 in "Health Effects of Overweight and Obesity in 195 Countries over 25 Years."
    • أيلول 2017
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الثاني, 2017
      تحديد مجموعة بيانات
      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for daily smoking prevalence and smoking-attributable mortality and disease burden, as measured by disability-adjusted life years (DALYs), were produced by sex, age group, and year for 195 countries and territories. Estimates for deaths and DALYs (1990-2015) are available from the GBD Results Tool. Files available in this record include daily smoking prevalence (1980-2015) and annualized rate of change estimates. Study results were published in The Lancet in April 2017 in "Smoking prevalence and attributable disease burden in 195 countries and territories, 1990–2015: a systematic analysis from the Global Burden of Disease Study 2015." Date ranges have been considered as follows: 1990-2015 as 1990 1990-2005 as 2005 2005-2015 as 2015
    • أيلول 2017
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2017
      تحديد مجموعة بيانات
      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. This dataset measures progress towards the Millennium Development Goal 5 (MDG 5) target of a 75% reduction in the maternal mortality ratio between 1990 and 2015. Maternal mortality ratio estimates for 21 regions, 195 countries and territories and 4 United Kingdom subnational units for 1990-2015 (quinquennial) are available by age and cause from the GBD Results Tool. Files available in this record include tables published in The Lancet in October 2016 in "Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015.
    • 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: Sandeep Reddy
      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 الثاني 2019
      المصدر: Global Database of Events, Language, and Tone
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Data cited at: Global Database of Events, Language, and Tone   The GDELT Event Database records over 300 categories of physical activities around the world, from riots and protests to peace appeals and diplomatic exchanges, georeferenced to the city or mountain top, across the entire planet dating back to January 1, 1979 and updated every 15 minutes. Essentially it takes a sentence like "The United States criticized Russia yesterday for deploying its troops in Crimea, in which a recent clash with its soldiers left 10 civilians injured" and transforms this blurb of unstructured text into three structured database entries, recording US CRITICIZES RUSSIA, RUSSIA TROOP-DEPLOY UKRAINE (CRIMEA), and RUSSIA MATERIAL-CONFLICT CIVILIANS (CRIMEA). Nearly 60 attributes are captured for each event, including the approximate location of the action and those involved. This translates the textual descriptions of world events captured in the news media into codified entries in a grand "global spreadsheet."
    • تشرين الثاني 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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:
    • تموز 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 آب, 2019
      تحديد مجموعة بيانات
      Gross Domestic Product
    • تشرين الثاني 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 تشرين الثاني, 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/
    • 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
      The GID-DB is a database providing researchers and policymakers with key data on gender-based discrimination in social institutions. This data helps analyse women’s empowerment and understand gender gaps in other key areas of development.Covering 180 countries and territories, the GID-DB contains comprehensive information on legal, cultural and traditional practices that discriminate against women and girls.
    • 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 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 شباط, 2019
      تحديد مجموعة بيانات
      Bilateral ODA commitments by purpose. Data cover the years 2005 to 2009. Amounts are expressed in USD million. The sectoral distribution of bilateral ODA commitments refers to the economic sector of destination (i.e. the specific area of the recipient's economic or social structure whose development is, or is intended to be fostered by the aid), rather than to the type of goods or services provided. These are aggregates of individual projects notified under the Creditor Reporting System, supplemented by reporting on the sectoral distribution of technical co-operation, and on actual disbursements of food and emergency aid.
    • 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
    • تموز 2011
      المصدر: World Bank
      تم التحميل بواسطة: Sandeep Reddy
      تم الوصول في: 21 أيلول, 2017
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Bilateral Migration Database Publication: https://datacatalog.worldbank.org/dataset/global-bilateral-migration-database License: http://creativecommons.org/licenses/by/4.0/   Global Bilateral Migration Database: Global matrices of bilateral migrant stocks spanning the period 1960-2000, disaggregated by gender and based primarily on the foreign-born concept are presented. Over one thousand census and population register records are combined to construct decennial matrices corresponding to the last five completed census rounds. For the first time, a comprehensive picture of bilateral global migration over the last half of the twentieth century emerges. The data reveal that the global migrant stock increased from 92 to 165 million between 1960 and 2000. South-North migration is the fastest growing component of international migration in both absolute and relative terms. The United States remains the most important migrant destination in the world, home to one fifth of the world’s migrants and the top destination for migrants from no less than sixty sending countries. Migration to Western Europe remains largely from elsewhere in Europe. The oil-rich Persian Gulf countries emerge as important destinations for migrants from the Middle East, North Africa and South and South-East Asia. Finally, although the global migrant stock is still predominantly male, the proportion of women increased noticeably between 1960 and 2000.
    • 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
    • كانون الأول 2018
      المصدر: Global Carbon Atlas
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 آذار, 2019
      تحديد مجموعة بيانات
      Data cited at: Global Carbon Atlas - http://www.globalcarbonatlas.org/en/CO2-emissions The Global Carbon Project facilitates access to data to encourage its use and promote a good understanding of the carbon cycle. Respecting original data sources is key to help secure the support of data providers to enhance, maintain and update valuable data.  FOSSIL FUEL EMISSIONS CDIAC: Boden, TA, Andres RJ, and Marland, G 2017. Global, Regional, and National Fossil-Fuel CO2 Emissions. Carbon Dioxide Information Analysis Center (CDIAC), Oak Ridge National Laboratory, US Department of Energy, Oak Ridge, Tenn., USA DOI:10.3334/CDIAC/00001_V2017. Available at: http://cdiac.ess-dive.lbl.gov/trends/emis/meth_reg.html  UNFCCC, 2018. National Inventory Submissions 2018. United Nations Framework Convention on Climate Change. Available at: http://unfccc.int/process/transparency-and-reporting/reporting-and-review-under-the-convention/greenhouse-gas-inventories-annex-i-parties/national-inventory-submissions-2018, accessed June 2018.  BP, 2018. Statistical Review of World Energy. Available at: http://www.bp.com/en/global/corporate/energy-economics.html 
    • 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.
    • تشرين الأول 2019
      المصدر: World Economic Forum
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Note: Financial Years such as 2016-2017, 2017-2018 have been considered as 2017 and 2018 respectively. Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Competitiveness Report Publication URL: http://reports.weforum.org/global-competitiveness-index-2017-2018/downloads/ License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
    • 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.
    • آذار 2019
      المصدر: International Telecommunication Union
      تم التحميل بواسطة: Shakthi Krishnan
      تم الوصول في: 18 تموز, 2019
      تحديد مجموعة بيانات
        The Global Cybersecurity Index (GCI) is a survey that measures the commitment of Member States to cybersecurity in order to raise awareness. The GCI revolves around the ITU Global Cybersecurity Agenda (GCA) and its five pillars (legal, technical, organizational, capacity building and cooperation). For each of these pillars, questions were developed to assess commitment. Through consultation with a group of experts, these questions were weighted in order to arrive at an overall GCI score. The survey was administered through an online platform through which supporting evidence was also collected. One-hundred and thirty-four Member States responded to the survey throughout 2016. Member States who did not respond were invited to validate responses determined from open-source research. As such, the GCI results reported herein cover all 193 ITU Member States. The 2017 publication of the GCI continues to show the commitment to cybersecurity of countries around the world. The overall picture shows improvement and strengthening of all five elements of the cybersecurity agenda in various countries in all regions. However, there is space for further improvement in cooperation at all levels, capacity building and organizational measures. As well, the gap in the level of cybersecurity engagement between different regions is still present and visible. The level of development of the different pillars varies from country to country in the regions, and while commitment in Europe remains very high in the legal and technical fields in particular, the challenging situation in the Africa and Americas regions shows the need for continued engagement and support. In addition to providing the GCI score, this report also provides a set of illustrative practices that give insight into the achievements of certain countries.
    • كانون الأول 2018
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 شباط, 2019
      تحديد مجموعة بيانات
      The Global Debt Database (GDD) is the result of a multiyear investigative process that started with the October 2016 Fiscal Monitor. The dataset comprises total gross debt of the (private and public) non financial sector for an unbalanced panel of 190 advanced economies, emerging market economies and low-income countries, dating back to 1950. For more details on the methodology and definitions, please refer to Mbaye, Moreno Badia and Chae (2018). 
    • 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 2019
      المصدر: United Nations Department of Economic and Social Affairs
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • 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 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: Shakthi Krishnan
      تم الوصول في: 03 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   Gender parity is fundamental to whether and how economies and societies thrive. Ensuring the full development and appropriate deployment of half of the world’s total talent pool has a vast bearing on the growth, competitiveness and future-readiness of economies and businesses worldwide. The Global Gender Gap Report benchmarks 149 countries on their progress towards gender parity across four thematic dimensions: Economic Participation and Opportunity, Educational Attainment, Health and Survival, and Political Empowerment. In addition, this year’s edition studies skills gender gaps related to Artificial Intelligence (AI)
    • 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
      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 الأول 2018
      المصدر: International Food Policy Research Institute
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Global Hunger Index, 2018   The Global Hunger Index (GHI) is a tool designed to comprehensively measure and track hunger globally, regionally, and by country. Each year, the International Food Policy Research Institute (IFPRI) calculates GHI scores in order to assess progress, or the lack thereof, in decreasing hunger. The GHI is designed to raise awareness and understanding of regional and country differences in the struggle against hunger. Since 2015, GHI scores have been calculated using a revised and improved formula. The revision replaces child underweight, previously the sole indicator of child under-nutrition, with two indicators of child under-nutrition—child wasting and child stunting—which are equally weighted in the GHI calculation. The revised formula also standardizes each of the component indicators to balance their contribution to the overall index and to changes in the GHI scores over time. GHI scores are calculated using a three-step process that draws on available data from various sources to capture the multidimensional nature of hunger: 1. Undernourishment: The share of the population that is undernourished (that is, whose caloric intake is insufficient). 2. Child wasting and stunting: The share of children under the age of five who are wasted (that is, who have low weight for their height, reflecting acute under-nutrition). 3.Child Stunting: The share of children under the age of five who are stunted (that is, who have low height for their age, reflecting chronic under-nutrition). 4. Child Mortality: The mortality rate of children under the age of five (in part, a reflection of the fatal mix of inadequate nutrition and unhealthy environments).   Note: Values for the years are taken as per below table.1Global Hunger Index Scores2Proportion of Undernourished in the Population (%)3Prevalence of Wasting in Children Under Five Years(%)4Prevalence of Stunting in Children Under Five Years (%)5Prevalence of underweight in children under five years (%)   Date for above indicators are taken as per below year ranges. 1   2   3   4   5   Date Range Date Range Date Range Date Range Date Range 2018 2013-2017 2018 2015-2017 2018 2013-2017 2018 2013-2017 2012 2009-2013 2017 2012-2016 2017 2014-2016 2017 2012-2016 2017 2012-2016 2011 2008-2012 2015 2010-2016 2015 2014-2016 2015 2012-2016 2015 2012-2016 2010 2005-2010 2014 2009-2013 2013 2014-2016 2013 2010-2014 2013 2010-2014 2009 2004-2009 2013 2008-2012 2012 2011-2013 2010 2008-2012 2010 2008-2012 2008 2003-2008 2012 2005-2010 2011 2010-2012 2008 2006-2010 2008 2006-2010 2007 2002-2007 2011 2004-2009 2010 2009-2011 2005 2003-2007 2005 2003-2007 2006 2001-2006 2010 2008-2012 2009 2005-2007 2000 1998-2002 2000 1998-2002 2005 2003-2007 2009 2002-2007 2008 2007-2009 1995 1993-1997 1995 1993-1997 2004 2000-2005 2008 2006-2010 2007 2003-2005 1992 1990-1994 1992 1990-1994 2003 1999-2003 2005 2003-2007 2006 2002-2004 1990 1988-1992 1990 1988-1992 2000 1998-2002 2001 1994-1998 2005 2004-2006         1997 1993-1998 2000 1998-2002 2004 2001-2003         1995 1993-1997 1996 1988-1992 2003 2000-2002         1990 1988-1992 1995 1993-1997 2000 1999-2001         1980 1977-1982 1992 1990-1994 1997 1995-1997             1990 1988-1992 1995 1994-1996                 1992 1991-1993                 1990 1990-1992                 1980 1979-1981               6. "Under-five Mortality  Rate(%)" year range has not been specified in source. GHI Severity Scale ≤ 9.9 low 10.0–19.9 moderate 20.0–34.9 serious 35.0–49.9 alarming 50.0 ≤ extremely alarming
    • تشرين الثاني 2018
      المصدر: International Telecommunication Union
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 كانون الثاني, 2019
      تحديد مجموعة بيانات
    • تموز 2016
      المصدر: World Economic Forum
      تم التحميل بواسطة: Knoema
      تم الوصول في: 13 كانون الثاني, 2017
      تحديد مجموعة بيانات
      Please note that the 2016 Global Information Technology Report is the last edition of the series. There are no updates available. Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Information Technology Report 2016 Publication URL: https://www.weforum.org/reports/the-global-information-technology-report-2016 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   This Dataset contains proprietary and non-proprietary data used in the computation of the World Economic's Forum Networked Readiness Index. By making this data available, the Forum aims to inform multi-stakeholder dialogue, foster evidence-based, data-driven decisions, allow measuring progress, and support research by academia, journalists and others.
    • تموز 2019
      المصدر: Global Innovation Index
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The GII is a source of insight into the multidimensional facets of innovation-driven growth. Providing 80 detailed metrics for 129 economies in 2019, the GII has become one of the leading references for measuring an economy’s innovation performance. Moving into its 12th edition this year, the GII has evolved into a valuable benchmarking tool that can facilitate public-private dialogue and where policy-makers, business leaders, and other stakeholders can evaluate innovation progress on an annual basis.   Each year the GII presents a thematic component that tracks global innovation. In this year’s edition, it analyzes the medical innovation landscape of the next decade, looking at how technological and non-technological medical innovation will transform the delivery of healthcare worldwide. It also explores the role and dynamics of medical innovation as it shapes the future of healthcare, and the potential influence this may have on economic growth. 
    • 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 2014
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Kirill Kosenkov
      تم الوصول في: 27 آب, 2015
      تحديد مجموعة بيانات
      Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013. Comparable estimates based on systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports, using mixed effects linear regression to correct for bias in self-reports. Data for prevalence of obesity and overweight by age, sex, country, and year (n=19 244) obtained with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Research by the staff of the Institute for Health Metrics and Evalutaion with co-authors. Published online 28 May 2014, "The Lancet" Volume 384, No. 9945, p766–781. DOI: http://dx.doi.org/10.1016/S0140-6736(14)60460-8
    • 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.
    • 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: Sandeep Reddy
      تم الوصول في: 12 كانون الأول, 2018
      تحديد مجموعة بيانات
      Global Trends in Prevalence of Tobacco Smoking 2000-2025
    • كانون الثاني 2016
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 21 تموز, 2016
      تحديد مجموعة بيانات
    • 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
    • تشرين الثاني 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      This dataset provides a comprehensive view of the functions, or socioeconomic objectives, that government aims to achieve through various kinds of expenditure, comprising detailed classifications of general public service, defense, public order and safety, economic affairs, environment protection, housing and community services, health, recreation, culture and religion, education, and social protection services.
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset provides a comprehensive view of government expense, including detailed classifications of compensation of employees, use of goods and services, consumption of fixed capital, interest payable, subsidies payable, grants payable, social benefits, and other expense.
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset provides a comprehensive view of government revenue, including detailed classifications of taxes, social contributions, grants receivable, and other revenue.
    • آب 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 آب, 2019
      تحديد مجموعة بيانات
      This dataset provides an overview of government’s cash flows, as summarized in the Statement of Sources and Uses of Cash, for those countries compiling GFS on a noncash basis (for example, an accrual basis) and are also including a cash flow statement.
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset provides an overview of total financial assets and liabilities classified by the sector to which the counterpart claim belongs. The counterpart sectors include non-financial corporations, the central bank, deposit taking corporations, other financial corporation sectors, government sectors, international organizations, external financial corporations, external general government, and other external sectors.
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 تشرين الأول, 2019
      تحديد مجموعة بيانات
      This dataset provides a comprehensive view of the integrated balance sheet. In other words, changes between the opening and closing stock positions in assets and liabilities are explained through transactions, holding gains/losses, and other changes in the volume of assets and liabilities. Data on net investment in non-financial assets – a component of total expenditure – on its components and related stock positions are provided.
    • 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.
    • كانون الثاني 2013
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 آذار, 2015
      تحديد مجموعة بيانات
      Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: GPE Results Forms Database Publication: https://datacatalog.worldbank.org/dataset/gpe-results-forms-database License: http://creativecommons.org/licenses/by/4.0/   The data originate from the education goals of developing-country partners of the Global Partnership for Education (GPE). Indicators compare actual values observed against targets, as set in education sector plans, joint sector reviews, and GPE grant applications. Indicators present key education outcomes and service delivery data; domestic, external, and GPE financing; learning outcomes; the composition of the Local Education Groups; and aid effectiveness in the education sector.
    • شباط 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Sandeep Reddy
      تم الوصول في: 02 نيسان, 2019
      تحديد مجموعة بيانات
      This dataset provides information on gross domestic product (GDP), total and per capita at current and constant (2010) prices also it contains annual average growth rates of gross domestic product (GDP), total and per capita, in per cent. The total GDP is expressed in millions of dollars, while GDP per capita is expressed in dollars.
    • تشرين الثاني 2019
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 تشرين الثاني, 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:
    • نيسان 2018
      المصدر: Global Trade Alert
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 أيار, 2019
      تحديد مجموعة بيانات
      Global Trade Alert - Trade Coverage Estimates   Data Cited at: https://www.globaltradealert.org
  • H
    • 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.
    • آذار 2019
      المصدر: World Bank
      تم التحميل بواسطة: Sandeep Reddy
      تم الوصول في: 20 آذار, 2019
      تحديد مجموعة بيانات
      This dataset presents HNP data by wealth quintile since 1990s to present. It covers more than 70 indicators, including childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 90 low- and middle-income countries. The data sources are Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS).
    • 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
    • شباط 2016
      المصدر: Statistics Mauritius
      تم التحميل بواسطة: Knoema
      تم الوصول في: 07 كانون الأول, 2018
      تحديد مجموعة بيانات
      Data cited at: https://mauritius.opendataforafrica.org/HDIM2016
    • 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.
    • تشرين الأول 2019
      المصدر: Financial Tracking Service
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 تشرين الأول, 2019
      تحديد مجموعة بيانات
      Data cited at: Financial Tracking Service
  • 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.
    • حزيران 2019
      المصدر: International Development Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 تموز, 2019
      تحديد مجموعة بيانات
      The World Bank’s IDA Resource Allocation Index (IRAI) is based on the results of the annual CPIA exercise that covers the IDA eligible countries.The CPIA rates countries against a set of 16 criteria grouped in four clusters: (a) economic management; (b) structural policies; (c) policies for social inclusion and equity; and (d) public sector management and institutions. The criteria (pdf) are focused on balancing the capture of the key factors that foster growth and poverty reduction, with the need to avoid undue burden on the assessment process. To fully underscore the importance of the CPIA in the IDA Performance Based Allocations, the overall country score is referred to as the IRAI. 
    • 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: IDA Results Measurement System Publication: https://datacatalog.worldbank.org/dataset/ida-results-measurement-system License: http://creativecommons.org/licenses/by/4.0/   The IDA Results Measurement System dataset measures progress on aggregate outcomes for IDA countries for selected indicators. It includes key country outcome indicators covering areas that are consistent with the Millennium Development Goals, are priorities in many national development plans and/or poverty reduction strategies, and reflect IDA's activities in IDA countries. The indicators capture both the economic growth and the human development priorities of ongoing IDA programs.
    • حزيران 2019
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 آب, 2019
      تحديد مجموعة بيانات
      Member countries are allocated votes at the time of membership and subsequently for additional subscriptions to capital. Votes are allocated differently in each organization. Each member receives the votes it is allocated under IDA replenishments according to the rules established in each IDA replenishment resolution. Votes consist of subscription votes and membership votes.
    • شباط 2011
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تحديد مجموعة بيانات
      IHME results from paper, Worldwide mortality in men and women aged 15–59 years from 1970 to 2010: a systematic analysis, published online in The Lancet on April 30 2010. This dataset provides global estimates of adult mortality risk, 45q15 (probability of death between the ages of 15 years and 60 years), between 1970 and 2010.
    • 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.
    • كانون الأول 2010
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تم الوصول في: 31 تموز, 2013
      تحديد مجموعة بيانات
      IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.
    • أيلول 2011
      المصدر: Institute for Health Metrics and Evaluation
      تم التحميل بواسطة: Knoema
      تحديد مجموعة بيانات
      IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
    • تموز 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 18 تموز, 2019
      تحديد مجموعة بيانات
      The FAS is the key source of global supply-side data on financial inclusion, encompassing data on access to and usage of financial services by firms and households that can be compared across countries and over time. Contains 180 time series and 65 indicators that are expressed as ratios to GDP, land area, or adult population to facilitate cross-economy comparisons. Provision of FAS data is voluntary.
    • تشرين الأول 2019
      المصدر: International Monetary Fund
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تشرين الأول, 2019
      تحديد مجموعة بيانات
      The World Economic Outlook (WEO) database contains selected macroeconomic data series from the statistical appendix of the World Economic Outlook report, which presents the IMF staff's analysis and projections of economic developments at the global level, in major country groups and in many individual countries. The WEO is released in April and September/October each year.
    • 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
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • آذار 2016
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الثاني, 2017
      تحديد مجموعة بيانات
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • 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
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • 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
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older with a tertiary education.
    • 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
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • آذار 2016
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الثاني, 2017
      تحديد مجموعة بيانات
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.
    • 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
      The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible. The exact national source and reference period for each file is given in Table A.1 (see the methodological document).
    • 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
      This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States. Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study. In general, the database covers all individuals aged 15 and older.
    • آذار 2017
      المصدر: Statistics Bureau of Japan
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 كانون الثاني, 2019
      تحديد مجموعة بيانات
      Statistics Name: Current Survey of Supply and Demand for Petroleum Products Annual Report Petroleum Products Import and Export of Petroleum Products/Monthly Import by Area and Country F.Y.
    • 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
    • تموز 2014
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 آب, 2014
      تحديد مجموعة بيانات
      The allocation of bilateral intermediate imports across using industries assumes that import coefficients are the same for all trade partners, i.e. SHAREipkt is identical across exporter countries. Hence, the bilateral pattern of imported intermediates from industry p is the same across all using industries k. However, it is different from the bilateral pattern of total imports from industry p because trade data (measured by VALUEijpt) allows distinguishing bilateral imports of intermediates from final good imports in industry p. While the BEC classification enables the identification of intermediate goods, no similar classification is available for trade in services, due to the high level of aggregation in services trade data. While goods trade data are based on customs declarations allowing the identification of goods at a highly disaggregated level, services trade data are based on a variety of information such as business accounts, administrative sources, surveys, and estimation techniques (Manual on Statistics of International Trade in Services, 2002). Hence, in the case of trade in services, VALUEijpt is the total value of imports of service p, i.e. both final and intermediate (and not only services that are used in the production of other goods and services, as in the case of goods data). By making an additional assumption and adjusting SHAREipkt, it is however possible to calculate trade in intermediate services. In the case of services imports, SHAREipkt is the share of imported service inputs p used by industry k in total imports of p of country i. In the case of services, besides the assumption that all trading partners have the same distribution of intermediate imports p across using industries k, it is furthermore required that the share of intermediate services in overall bilateral services imports of country i is the same across all partner countries j. Finally, it should be mentioned that trade data reported in the trade statistics do not fully match imports as reported in I-O tables. One main reason is that while trade data is recorded at consumer prices, I-O tables are evaluated at producer prices. There are also other differences such as the treatment of re-exports, scrap metal, waste products and second hand goods or unallocated trade data.
    • شباط 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 حزيران, 2019
      تحديد مجموعة بيانات
      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 2015. For more information, refer to the ILO estimates and projections methodological note.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      This indicator conveys the number of persons of working age outside the labour force (that is, not employed or unemployed) expressed as a percentage of the working-age population. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      This indicator conveys the number of persons of working age outside the labour force (that is, not employed or unemployed) expressed as a percentage of the working-age population. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      This indicator conveys the number of persons of working age outside the labour force (that is, not employed or unemployed) expressed as a percentage of the working-age population. The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit. Data are provided by geographical coverage, which entails a disaggregation by rural and urban areas. The differentiation between these geographic areas is made according to national definitions.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The incidence of part-time employment, also known as the part-time employment rate, represents the percentage of employment that is part time. Part time employment in this table is based on a common definition of less than 35 actual weekly hours worked. It is derived from the indicator on employment by sex and actual weekly hours worked.
    • آذار 2019
      المصدر: Global Trade Alert
      تم التحميل بواسطة: Sandeep Reddy
      تم الوصول في: 03 نيسان, 2019
      تحديد مجموعة بيانات
      The Global Trade Alert (GTA) was launched in June 2009 when it was feared that the global financial crisis would lead governments to adopt widespread 1930s-style beggar-thy-neighbour policies. Although global in scope, the GTA has given particular attention to the policy choices of the G-20 governments ever since their leaders made a “no protectionism” pledge in Washington DC in November 2008. Although initially conceived as a trade policy monitoring initiative, as thousands of policy announcements have been documented, the GTA has become a widely-used input for analysis and decision-making by firms, industry associations, journalists, researchers, international organisations, and governments. This reflects the fact that, as the International Monetary Fund noted in 2016, the GTA “has the most comprehensive coverage of all types of trade-discriminatory and trade liberalizing measures.”   Data Cited at: https://www.globaltradealert.org
    • 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
    • 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
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
    • أيار 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 أيار, 2019
      تحديد مجموعة بيانات
      Inflow of migrants refer to the number of immigrants who changed their country of usual residence during the reference period. A person's country of usual residence is the country in which the person has a place to live where he or she normally spends the daily period of rest. Temporary travel abroad for purposes of recreation, holiday, business, medical treatment or religious pilgrimage does not entail a change in the country of usual residence. Data are disaggregated by sex and country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The harmonized series for informal employment and informal sector are derived using the same set of criteria across countries to improve comparability. The criteria used are based on employment status, institutional sector, destination of production, bookkeeping, registration, social security contribution, places of work and size. For more information, refer to the indicator description.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The harmonized series for informal employment and informal sector are derived using the same set of criteria across countries to improve comparability. The criteria used are based on employment status, institutional sector, destination of production, bookkeeping, registration, social security contribution, places of work and size. For more information, refer to the indicator description.
    • أيلول 2019
      المصدر: U.S. Department of Agriculture
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 تشرين الأول, 2019
      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.
    • شباط 2019
      المصدر: United Nations Office on Drugs and Crime
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 شباط, 2019
      تحديد مجموعة بيانات
      Statistics reported to the United Nations in the context of its various surveys on crime levels and criminal justice trends are incidents of victimization that have been reported to the authorities in any given country. That means that this data is subject to the problems of accuracy of all official crime data.
    • 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
    • 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 الثاني 2019
      المصدر: U.S. Energy Information Administration
      تم التحميل بواسطة: Knoema
      تم الوصول في: 08 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تموز, 2019
      تحديد مجموعة بيانات
      This dataset contains the number of people who graduated from an education programme by country of origin and sex.
    • 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.
    • 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.
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 16 نيسان, 2019
      تحديد مجموعة بيانات
      This indicator reports the percentage of students of each country of origin over the total of international students.
    • 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.
    • حزيران 2013
      المصدر: World Integrated Trade Solution
      تم التحميل بواسطة: Sandeep Reddy
      تم الوصول في: 04 كانون الثاني, 2019
      تحديد مجموعة بيانات
      The dataset provides a consolidated and reconciled version of multiple sources of bilateral trade data. Its advantages over the original source data are that it provides broader coverage based on mirror flows, reconciliation of aggregate with underlying flows, and consolidation (allowing for broader coverage than offered by source data). One weakness, inherent in all available data of this type, is that even with mirror flows, a substantial share of South-South trade is unreported. As such, while we can recover North-South exports from mirror flows, we cannot recover all unreported bilateral flows. The scale of the problem can be gauged by comparing trade with the world with bilateral flows in the database. Notes: • values are in millions of current US dollars • Because of the apparent mixing of zero and missing by source agencies, we have opted to use missing, or “.”, for reported zero and missing flows. • total with world is the greater of reported total with world, or aggregate of bilateral flows • region XWD holds difference between all bilateral flows and global (trade with world) total. It is the sum of flows with missing partners. This means XWD holds identified flows without a partner. It does not hold flows that are totally unreported. • all unreported REP:PAR:BOP:YEAR combinations, meaning that do not even appear in the dataset, can be safely assumed to be missing. By this, we mean there is no reported source for these flows, and the countries-product-year combination does not even occur in any of the underlying source data.
    • تشرين الأول 2019
      المصدر: Statistics Denmark
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الأول, 2019
      تحديد مجموعة بيانات
      International trade in services, quarterly by imports and exports, country and time
    • تشرين الأول 2019
      المصدر: Statistics Denmark
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • تشرين الأول 2016
      المصدر: Statistics Netherlands
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 تشرين الأول, 2018
      تحديد مجموعة بيانات
      Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: International trade; Imports and exports of services by country, 2003-2013 https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=80414ENG&_theme=1118 License: http://creativecommons.org/licenses/by/4.0/  This table contains information on Dutch imports and exports of services broken down by various service types and countries (groups). From 2006 onwards more detailed information is available than the years before. In addition, the annual figures show more detailed information than the quarterly figures. Data available from 2003 to 2013. Status of the figures: The figures are definite. Changes as of 8 October 2014: None, this table has been discontinued. When will new figures be published? No longer applicable.
    • تشرين الأول 2015
      المصدر: Water FootPrint Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 27 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: International virtual water flow statistics  Publication: https://waterfootprint.org/en/resources/waterstat/international-virtual-water-flow-statistics/ Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) The water footprint of humanity, Proceedings of the National Academy of Sciences, 109(9): 3232–3237 License: https://creativecommons.org/licenses/by-sa/3.0/
    • 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: Sandeep Reddy
      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
      UN FAO Resource Statistics - Machinery. The Agricultural Resources domain covers: Investment, Land and irrigation, Labor, Machinery, Fertilizers, Pesticides, Population. The Resources domain considers factors of production for the agricultural sector. Broadly speaking, this section details how countries differ in endowments of the three classic inputs: labor, land and capital. Qualitative differences are important for each but are particularly difficult to summarize in a single indicator for land, the productivity of which depends heavily on water and soil conditions.
    • كانون الثاني 2018
      المصدر: Food and Agriculture Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 22 آذار, 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 affiliates under foreign control by investing country in the total manufacturing, total services and total business enterprise sectors.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تموز, 2019
      تحديد مجموعة بيانات
    • تموز 2014
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 آب, 2014
      تحديد مجموعة بيانات
      The IPP.Stat is the statistics portal of the Innovation Policy Platform containing the main available indicators relevant to a country’s innovation performance. In addition to the traditional indicators used to monitor innovation, the range of the coverage to be found in the IPP.Stat calls for the inclusion of indicators from other domains that describe the broader national and international context in which innovation occurs. Indicators are sourced primarily from the OECD and the World Bank, as well as from other sources of comparable quality. The statistics portal is still under development.
    • آب 2019
      المصدر: American Psychological Association
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 أيلول, 2019
      تحديد مجموعة بيانات
      Compilation of IQs across nations.
  • J
    • أيلول 2016
      المصدر: Ministry of Economy, Trade and Industry of Japan
      تم التحميل بواسطة: Knoema
      تم الوصول في: 20 أيلول, 2016
      تحديد مجموعة بيانات
      Annual Report 2014 Petroleum Data in Japan. Natural Gas and Crude Oil (Annual Commodities: Production, Shipment and Inventory).
    • 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.
  • L
    • كانون الأول 2017
      المصدر: Ministry of Economy, UAE
      تم التحميل بواسطة: Knoema
      تم الوصول في: 17 أيار, 2018
      تحديد مجموعة بيانات
    • 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. 
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ICSED).
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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. Data are provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 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. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCE).
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The labour force participation rate expresses the labour force as a percent of the working-age population.
    • أيلول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 أيلول, 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. 
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The labour force participation rate is the labour force as a percent of the working age population.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The labour force participation rate is the labour force as a percent of the working age population. Data by level of education are provided on the highest level of education completed.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The labour force participation rate expresses the labour force as a percent of the working-age population.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The labour force participation rate is the labour force as a percent of the working age population.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of males.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the general methodological note and the labour force estimates and projections methodological paper.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      The labour force participation rate expresses the labour force as a percent of the working-age population. Data only refers to the population of females.
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 نيسان, 2019
      تحديد مجموعة بيانات
    • تشرين الأول 2018
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 31 كانون الثاني, 2019
      تحديد مجموعة بيانات
      The dataset presents the liner shipping connectivity index (LSCI), which indicates a country's integration level into global liner shipping networks. The index base year is 2004, and the base value is on a country showing a maximum figure for 2004.
    • نيسان 2018
      المصدر: World Atlas
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 آب, 2019
      تحديد مجموعة بيانات
      Linguistic Diversity Index Data cited at: https://www.worldatlas.com/articles/the-most-linguistically-diverse-countries-in-the-world.html
    • حزيران 2012
      المصدر: Wikipedia
      تم التحميل بواسطة: Carpe Facto
      تحديد مجموعة بيانات
      Extremes in elevation across countries.
    • تموز 2019
      المصدر: Bank for International Settlements
      تم التحميل بواسطة: Knoema
      تم الوصول في: 31 تموز, 2019
      تحديد مجموعة بيانات
      Data cited at : https://www.bis.org/statistics/index.htm   Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty
    • أيار 2018
      المصدر: World Bank
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 آب, 2018
      تحديد مجموعة بيانات
      The Logistics Performance Index overall score reflects assessments of a country's logistics based on efficiency of the customs clearance process, quality of trade- and transport-related infrastructure, ease of arranging competitively priced shipments, quality of logistics services, ability to track and trace consignments, and frequency with which shipments reach the consignee within the scheduled time. The index ranges from 1 to 5, with a higher score representing better performance. Data are from Logistics Performance Index surveys conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. 2011 round of surveys covered more than 6,000 country assessments by nearly 1,000 international freight forwarders. Respondents evaluated eight markets on six core dimensions using a scale from 1 (worst) to 5 (best). The markets are chosen based on the most important export and import markets of the respondent's country, random selection, and, for landlocked countries, neighboring countries that connect them with international markets. Scores for the six areas are averaged across all respondents and aggregated to a single score using principal components analysis. Details of the survey methodology and index construction methodology are in Connecting to Compete 2012: Trade Logistics in the Global Economy (2012).
  • 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.
    • حزيران 2018
      المصدر: Center for Systemic Peace
      تم التحميل بواسطة: Knoema
      تم الوصول في: 25 تشرين الأول, 2018
      تحديد مجموعة بيانات
      Center for Systemic Peace, Major Episodes of Political Violence, 1946-2017 (War List), Annual Set lists annual, cross-national, time-series data on interstate, societal, and communal warfare magnitude scores (independence, interstate, ethnic, and civil; violence and warfare) for all countries; Full Set (1946-2012) includes both country data and scores for neighboring countries and regional context for all independent countries (does not include independence wars)
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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 working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. 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. For more information, refer to the ILO estimates and projections methodological note.
    • تموز 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 23 تموز, 2019
      تحديد مجموعة بيانات
      The Maritime Transport Costs (MTC)database contains data from 1991 to the most recent available year of bilateral maritime transport costs. Transport costs are available for 43 importing countries (including EU15 countries as a custom union) from 218 countries of origin at the detailed commodity (6 digit) level of the Harmonized System 1988. This dataset should only be used in conjunction with the paper Clarifying Trade Costs in Maritime Transport which outlines methodology, data coverage and caveats to its use. Key Statistical Concept Import charges represent the aggregate cost of all freight, insurance and other charges (excluding import duties) incurred in bringing the merchandise from alongside the carrier at the port of export and placing it alongside the carrier at the first port of entry in the importing country. Insurance charges are therefore included in the transport cost variables and are estimated to be approximately 1.5% of the import value of the merchandise.
    • 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).
    • آب 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 31 آب, 2018
      تحديد مجموعة بيانات
      This indicator is a proxy for health system outcomes. It represents the number of maternal deaths per 10 000 live births. A higher figure indicates worse outcomes. This is one of five indicators measuring key dimensions (drivers) of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The concept of earnings, as applied in wages statistics, relates to 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.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 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.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      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. This is a harmonized series: (1) data reported as weekly and yearly are converted to monthly in the local currency series, using data on average weekly hours if available; and (2) data are converted to U.S. dollars as the common currency, using exchange rates or using 2011 purchasing power parity (PPP) rates for private consumption expenditures. The latter series allows for international comparisons by taking account of the differences in relative prices between countries.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • كانون الأول 2015
      المصدر: World Bank
      تم التحميل بواسطة: Mikhail Zhukovskii
      تم الوصول في: 08 كانون الأول, 2015
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. 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).
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. 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, and presented for categories at the 2-digit level of the classification. 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.
    • آب 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيلول, 2018
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. 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, and presented for a selection of categories at the 2-digit level of the classification. 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for categories at the 2-digit level of the classification. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • آب 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيلول, 2018
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year and presented for a selection of categories at the 2-digit level of the classification. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. Paid employment jobs 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.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. Paid employment jobs 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, and presented for categories at the 2-digit level of the classification. 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.
    • آب 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 أيلول, 2018
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. Paid employment jobs 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, and presented for a selection of categories at the 2-digit level of the classification. 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 الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Data on hours of work are presented, whenever possible, on the basis of the mean number of hours of work per week, and with reference to hours worked in all jobs of employed persons and in all types of working time arrangements (e.g. full-time and part-time). Hours actually worked include (a) direct hours or the time spent carrying out the tasks and duties of a job, (b) related hours, or the time spent maintaining, facilitating or enhancing productive activities (c) down time, or time when a person in a job cannot work due to machinery or process breakdown, accident, lack of supplies or power or Internet access and (d) resting time, or time spent in short periods of rest, relief or refreshment, including tea, coffee or prayer breaks, generally practised by custom or contract according to established norms and/or national circumstances. Hours actually worked excludes time not worked during activities such as: (a) Annual leave, public holidays, sick leave, parental leave or maternity/paternity leave, other leave for personal or family reasons or civic duty, (b) Commuting time between work and home when no productive activity for the job is performed; for paid employment, even when paid by the employer; (c) Time spent in certain educational activities; for paid employment, even when authorized, paid or provided by the employer; (d) Longer breaks distinguished from short resting time when no productive activity is performed (such as meal breaks or natural repose during long trips); for paid employment, even when paid by the employer. Paid employment jobs 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 occupation according to the latest version of the International Standard Classification of Occupations (ISCO) available for that year. Information on occupation provides a description of the set of tasks and duties which are carried out by, or can be assigned to, one person.
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The concept of hours usually worked relates to the typical value of hours actually worked in a job per a short reference period such as one week, over a long observation period of a month, quarter, season or year that comprises the short reference measurement period used. The typical value may be the modal value of the distribution of hours actually worked per short period over the long observation period, where meaningful. The short reference period for measuring hours usually worked should be the same as the reference period used to measure employment.
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      The concept of hours usually worked relates to the typical value of hours actually worked in a job per a short reference period such as one week, over a long observation period of a month, quarter, season or year that comprises the short reference measurement period used. The typical value may be the modal value of the distribution of hours actually worked per short period over the long observation period, where meaningful. The short reference period for measuring hours usually worked should be the same as the reference period used to measure employment.
    • 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
    • شباط 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 شباط, 2019
      تحديد مجموعة بيانات
      The median age marks the point where half the group is older than that age and half is younger. 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: United Nations COMTRADE
      تم التحميل بواسطة: Knoema
      تم الوصول في: 09 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • 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.
    • 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 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 تشرين الثاني, 2019
      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: Sandeep Reddy
      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.
    • نيسان 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 15 نيسان, 2019
      تحديد مجموعة بيانات
      This dataset shows the value of total merchandise exports and imports, expressed in millions of United States dollars and percentages of the world total
    • تموز 2018
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 31 كانون الثاني, 2019
      تحديد مجموعة بيانات
      The dataset provides information on the ownership of the merchant fleet for all countries. "Ownership” refers to “Beneficial Ownership Location”: it indicates the economy in which the company that has the main commercial responsibility for the vessel is located. The economy of beneficial ownership may be different from the country in which the vessel is registered.
    • تشرين الأول 2019
      المصدر: United Nations Conference on Trade and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 30 تشرين الأول, 2019
      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).
    • كانون الثاني 2015
      المصدر: Right Diagnosis
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 شباط, 2016
      تحديد مجموعة بيانات
    • أيار 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 28 أيار, 2019
      تحديد مجموعة بيانات
      Migrants comprise individuals who changed their country of usual residence. A person's country of usual residence is the country in which the person has a place to live where he or she normally spends the daily period of rest. Temporary travel abroad for purposes of recreation, holiday, business, medical treatment or religious pilgrimage does not entail a change in the country of usual residence. Data are disaggregated by country of origin. A person's country of origin is that from which the person originates, i.e. the country of his or her citizenship (or, in the case of stateless persons, the country of usual residence).
    • شباط 2019
      المصدر: National Institute of Statistics, Italy
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آذار, 2019
      تحديد مجموعة بيانات
      Data source(s) used: Persons registered in and cancelled from the population register due to change of residence:The English description of the source is not available at this time, for methodological details go to the Siqual system
    • 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. 
    • حزيران 2018
      المصدر: Statistics Netherlands
      تم التحميل بواسطة: Knoema
      تم الوصول في: 02 كانون الأول, 2018
      تحديد مجموعة بيانات
      Immigration and emigration in the Netherlands and the administrative corrections by country of birth, sex, age and marital status. Data available from: 1995 Status of the figures: All data recorded in this publication are final data. Changes as from 18 June 2018: The final figures of 2017 have been added. Changes as from 26 April 2018: The underlying coding of classifications used in this table has been adjusted. It is now in line with the standard encoding defined by CBS. The structure and data of the table have been adjusted. The age classification has been simplified: the five-year groups have been removed. This makes the table better suited for the interface of the new StatLine. If you are missing these figures, please contact Infoservice (see section 5). When will new figures be published? The final figures of 2018 will be added in the second quarter of 2019 in this publication.
    • 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.
    • كانون الأول 2018
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 كانون الأول, 2018
      تحديد مجموعة بيانات
      Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) and ground-level ozone (O3) have potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. Exposure to ground-level ozone (O3) has serious consequences for human health, contributing to, or triggering, respiratory diseases. These include breathing problems, asthma and reduced lung function (WHO, 2016; Brauer et al., 2016). Ozone exposure is highest in emission-dense countries with warm and sunny summers. The most important determinants are background atmospheric chemistry, climate, anthropogenic and biogenic emissions of ozone precursors such as volatile organic compounds, and the ratios between different emitted chemicals.
    • شباط 2016
      المصدر: Pew Research Center
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 شباط, 2016
      تحديد مجموعة بيانات
      Notes : 2010 is Estimated Population, 2030 is Projected Population.
  • N
    • 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.
    • 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
    • تشرين الأول 2015
      المصدر: Water FootPrint Network
      تم التحميل بواسطة: Knoema
      تم الوصول في: 26 تشرين الأول, 2015
      تحديد مجموعة بيانات
      Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: National water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/national-water-footprint-statistics/ Water footprints of national consumption (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237. Water footprints of national production (1996-2005) Reference: Hoekstra, A.Y. & Mekonnen, M.M. (2012) 'The water footprint of humanity’, Proceedings of the National Academy of Sciences, 109(9): 3232–3237. License: https://creativecommons.org/licenses/by-sa/3.0/
    • تشرين الأول 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 24 تشرين الأول, 2019
      تحديد مجموعة بيانات
    • تشرين الأول 2019
      المصدر: Statistics Canada
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • شباط 2019
      المصدر: The National Committee on North Korea
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 آب, 2019
      تحديد مجموعة بيانات
    • نيسان 2018
      المصدر: Statistics Norway
      تم التحميل بواسطة: Knoema
      تم الوصول في: 03 نيسان, 2019
      تحديد مجموعة بيانات
      Major change in coverage in 2011. Consult About the statistics Only vessels at or above 1 000 gross tonnage. No fishing vessels.
    • تشرين الأول 2019
      المصدر: National Statistical Office of Mongolia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 31 تشرين الأول, 2019
      تحديد مجموعة بيانات
      It covers foreign passengers who have crossed the border of Mongolia.
    • تشرين الأول 2019
      المصدر: National Statistical Office of Mongolia
      تم التحميل بواسطة: Knoema
      تم الوصول في: 31 تشرين الأول, 2019
      تحديد مجموعة بيانات
      A tourist refers a person who travels to and stays in places outside his usual environment for not more than 183 days for purposes other than employment.
  • 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
    • تشرين الثاني 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 14 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • 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.
    • كانون الأول 2018
      المصدر: Open Data Watch
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 نيسان, 2019
      تحديد مجموعة بيانات
      Data cited at: Open Data Watch https://opendatawatch.com/ Topic: Open Data Inventory (ODIN) data Publication: http://odin.opendatawatch.com/data/download License: https://creativecommons.org/licenses/by/4.0/   Score Type Options: Three sets of scores are available: raw, weighted, or standardized. Raw scores have values between 0 and 1 as recorded in the original assessment; subscores are simple totals. Weighted scores use a predefined weighting matrix; subscores are simple totals. Standardized scores are scaled from 0 to 100; subscores are weighted averages.
    • حزيران 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: 032 -- Origin and background country by sex, by region and municipality in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_032.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 and vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) Area For reasons of privacy protection, cells with less than 10 cases of citizenship, country of birth, background country or language by municipality have been marked with two dots. Continent sums have not been hidden in municipality data nor have regional data concerning individual languages or countries. Background country Background country data are explained in the Concepts webpage, see link
    • 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.
    • آب 2018
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 31 آب, 2018
      تحديد مجموعة بيانات
      This indicator is a proxy for financial protection in case of ill health. It represents the amount of money paid directly to health care providers in exchange for health goods and services as a percentage of total health expenditure. A higher figure indicates higher percentage of out-of-pocket payments. This is one of five indicators measuring key dimensions of deficits in health care access and coverage. For analytical purposes the full set of indicators should be considered together.
    • 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.
    • نيسان 2019
      المصدر: Organisation for Economic Co-operation and Development
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 نيسان, 2019
      تحديد مجموعة بيانات
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. For more information, refer to the ILO estimates and projections methodological note.
  • P
    • 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.
    • 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.
    • آذار 2019
      المصدر: National Institute of Statistics, Italy
      تم التحميل بواسطة: Knoema
      تم الوصول في: 04 آذار, 2019
      تحديد مجموعة بيانات
      Data source(s) used: Persons convicted for crime with irrevocable judgement: Survey on convicted persons for felony and misdemeanor with irrevocable judgement, type of crimes and misdemeanors committed, main features of the convicted persons and of the sentence. Other data characteristics: The number of persons convicted by type of crime is calculated on the most serious crime committed. The number of convicted persons by final judgement and the number of crimes is available with reference to two types of classifications. An analytical classification including about 470 items of crime, and a synthetic one, where the individual items are hierarchically grouped in 130 items broadly reflecting the Titles, Books and Sections of the Italian Penal Code. The complementary legislation is organized grouping the type of crimes by subject. The analytical classification of the types of crimes committed is given only in Italian language, as many crimes present in the Italian legislation do not have an exact match in the laws of other Countries. The literal translation of this classification is not available because the meaning of the legal terms translated into English could lead to misleading interpretations. An international classification is not available yet. "Number of concurrent crimes" means the total number of crimes committed by the convicted person. "1" means that the offender committed only one kind of crime. "2", "3", "4 and over" mean that, in addition to the most serious crime evident in the table, the offender committed other crimes.
    • تموز 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آب, 2019
      تحديد مجموعة بيانات
      Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The working-age population is commonly defined as persons aged 15 years and older, but this varies from country to country. 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. For more information, refer to the ILO estimates and projections methodological note.
    • شباط 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 06 حزيران, 2019
      تحديد مجموعة بيانات
      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or 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 labour force estimates and projections methodological paper. 
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The working age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The working age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCED).
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 12 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The working age population is commonly defined as persons aged 15 years and older, but this varies from country to country. In addition to using a minimum age threshold, certain countries also apply a maximum age limit. Data are disaggregated by level of education, which refers to the highest level of education completed, classified according to the International Standard Classification of Education (ISCED).
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الثاني, 2019
      تحديد مجموعة بيانات
      Persons outside the labour force comprise all persons of working age who, during the specified reference period, were not in the labour force (that is, were not employed or unemployed). The working age population is commonly defined as persons aged 15 years and older, but this varies from country to country. Data are provided by age and geographical coverage, which entails a disaggregation by rural and urban areas.
    • تشرين الثاني 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 05 تشرين الثاني, 2019
      تحديد مجموعة بيانات
    • 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
    • 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.
    • شباط 2019
      المصدر: Statistics Sweden
      تم التحميل بواسطة: Knoema
      تم الوصول في: 01 آذار, 2019
      تحديد مجموعة بيانات
    • شباط 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 شباط, 2019
      تحديد مجموعة بيانات
      The total population comprises persons of all ages who were living in the country during the reference period, regardless of residency status or citizenship. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017, the source for the population figures used is World Population Prospects: The 2017 Revision and the rural urban distribution population source is World Urbanization Prospects: The 2014 Revision issued by the United Nations.
    • شباط 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 شباط, 2019
      تحديد مجموعة بيانات
      The total population comprises persons of all ages who were living in the country during the reference period, regardless of residency status or citizenship. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017, the source for the population figures used is World Population Prospects: The 2017 Revision issued by the United Nations.
    • شباط 2019
      المصدر: International Labour Organization
      تم التحميل بواسطة: Knoema
      تم الوصول في: 11 شباط, 2019
      تحديد مجموعة بيانات
      The total population comprises persons of all ages who were living in the country during the reference period, regardless of residency status or citizenship. Data for 1990-2015 are estimates while 2016-2030 data are projections. The dataset was updated as of July 2017, the source for the population figures used is World Population Prospects: The 2017 Revision and the rural urban distribution population source is World Urbanization Prospects: The 2014 Revision issued by the United Nations.
    • آذار 2009
      المصدر: Eurostat
      تم التحميل بواسطة: Knoema
      تم الوصول في: 29 تشرين الثاني, 2015
      تحديد مجموعة بيانات