نيوزيلاندا

Overview of Variants in Countries: This dataset contains, the proportion of total number of sequences (not cases), over time, that fall into defined variant groups. Countries are displayed if they have at least 70 sequences in any variant being tracked, over a period of at least 4 weeks. Countries are ordered by total number of sequences in tracked variants.   It is worth interpreting with caution:Not all samples are representative - sometimes some samples are more likely to be sequenced than others (for containing a particular mutation, for example)The last data point - this often has incomplete data and may change as more sequences come inFrequencies that are very 'jagged' - this often indicates low sequencing numbers and so may not be truly representative of the countryIn many places, sampling may not be equal across the region: samples may only cover one area or certain areas. It's important not to assume frequencies shown are necessarily representative.

 

Note: ECDC will cease to update this dataset on 1 December 2023. Note:Data cited at European Centre for Disease Prevention and Control, an agency of the European Union: https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwideThe population data in the databases are from the World Bank.

Data cited at: Global Petrol Prices web site - https://www.globalpetrolprices.com/ License: https://creativecommons.org/licenses/by-nc/4.0/ Data is getting collected Every Tuesday evening from the Global Petrol Prices website. Weekly Average data is available from 28-Dec-2015 onward. Monthly average price is available for the period of January, 2013 - July, 2013    

Data Citation: FluNet: https://apps.who.int/flumart/Default?ReportNo=2: World Health Organization; [2021]. License: CC BY-NC-SA 3.0 IGO WHO- FluMart is a platform that has been developed to facilitate data exchange, harmonization, consolidation and storage of influenza related data. FluMart allows the upload of any user defined data files in their own format and transforms them into standard data. Standard format data can be used for analysis purposes and to produce reports. FluMart does not replace already existing applications such as FluNet and FluID, but combines the data from different applications and/or data sources in one common platform to enable integrated analysis and reporting. Note: Date has been taken as Starting Date of range date for the week  

Data retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/   FRED Economic Research Division "International Data" dataset contains series for the following categories: money, banking & finance; national accounts; population, employment & labor markets; production & business activity; prices; work started; consumer opinion surveys; business tendency surveys (construction); business tendency surveys (services); business tendency surveys (manufacturing); business tendency surveys (non-manufacturing); leading indicators OECD; business tendency surveys (retail trade).

The Data Template on International Reserves and Foreign Currency Liquidity is an innovative single framework that integrates the concept of international reserves and foreign currency liquidity by covering data on on-balance-sheet and off-balance-sheet international financial activities of country authorities as well as supplementary information. It aims to provide a comprehensive account of official foreign currency assets and drains on such resources arising from various foreign/domestic currency liabilities and commitments of the authorities.

The OECD Weekly Tracker of GDP growth provides a real-time high-frequency indicator of economic activity using machine learning and Google Trends data. It has a wide country coverage of OECD and G20 countries. The Tracker is thus particularly well suited to assessing activity during the turbulent period of the current global pandemic. It applies a machine learning model to a panel of Google Trends data for 46 countries, and aggregates together information about search behaviour related to consumption, labour markets, housing, trade, industrial activity and economic uncertainty.   The Weekly Tracker proxies the percent change in weekly GDP levels from the pre-crisis trend. The pre-crisis trend is taken from OECD forecasts made prior to the crisis (in the November 2019 Economic Outlook). Two other flavours of the Tracker are also available in the datafiles: a Tracker of weekly GDP growth year-on-year (that is, the percent change in weekly GDP from the same week in the past year), and a Tracker of weekly GDP growth year-on-two-year (the percent change in weekly GDP from the same week two years earlier). 

Stock Market Performance Indices

This data has been collected, cleaned and analyzed by  James Tozer  and  Martín González .