Bahrain

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).

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.

1. Balance of Loans Commitments. 2. Balance of Outstanding 3. Capital

Data cited at: Barro-Lee

The BP Statistical Review of World Energy has provided high-quality, objective and globally consistent data on world energy markets. The Review is one of the most widely respected and authoritative publications in the field of energy economics, used for reference by the media, academia, world governments and energy companies. A new edition is published every June. Historical data from 1965 for many sections. Note:  1. For the below indicators "Converted data from Exajoules to Million tonnes ((Exajoules value *23884589.66)/1000000)=Million tonnes" Coal Consumption, Million tonnes oil equivalent Coal Production, Million tonnes oil equivalent Natural gas Consumption, Million tonnes oil equivalent Natural gas Production, Million tonnes oil equivalent Hydroelectricity Consumption, Million tonnes oil equivalent Nuclear energy Consumption, Million tonnes oil equivalent Oil Consumption, Million tonnes oil equivalent Primary energy Consumption, Million tonnes oil equivalent Primary Energy Consumption by fuel: Coal, Million tonnes oil equivalent Primary Energy Consumption by fuel: Oil, Million tonnes oil equivalent Primary Energy Consumption by fuel: Natural Gas, Million tonnes oil equivalent Primary Energy Consumption by fuel: Nuclear Energy, Million tonnes oil equivalent Primary Energy Consumption by fuel: Hydro electric, Million tonnes oil equivalent Primary Energy Consumption by fuel: Renewables, Million tonnes oil equivalent Primary Energy Consumption by fuel: Total Consumption, Million tonnes oil equivalent Renewable Consumption, Million tonnes oil equivalent Renewables Consumption - Solar, Million tonnes oil equivalent Renewables Consumption - Wind, Million tonnes oil equivalent Renewables Consumption - Geothermal, Biomass and Other, Million tonnes oil equivalent 2. For the below indicator "Converted data from Petajoules to Thousand tonnes ((Petajoules Values* 23884.58966275)/1000)=Thousand tonnes" Renewable energy - Bio-fuels Production, Thousand tonnes of oil equivalent

Note: No further updates planned by source 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.

Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 030 -- Citizenship by sex, by region and municipality in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_030.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality descriptionThese 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)AreaFor 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.CitizenshipIf a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country.CitizenshipCzech RepublicCzech Republic + Former CzechoslovakiaSudanSudan + Former Sudan

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

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

Data cited at https://www.transparency.org/en/cpi/2020/index/nzl 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/en/cpi/2020/index/nzl 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.

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.

The data in the table concerning country of birth were corrected on 22 May 2019.For some with country of birth data recorded as 'unknown' (2,404 people), some other foreign country has been specified as the country of birth.Description of statistic Quality descriptions Concepts and definitionsStarting from 1750 Population statistics 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) ---RegionThese statistics apply the regional division of 1 January 2019 to the whole time series.Country of birthCountries (ISO 3166). The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. In the classification of continents, Europe does not include the figures for Finland. Non-autonomous states are combined with the mother country. Sudan = Sudan + Former Sudan --- HDI = Human Development Index Ranking according to the 2016 HDI index by country: The former Soviet Union is included in the Russia HDI category The former Czechoslovakia is included in the Czech Republic HDI category The former Yugoslavia and Serbia and Montenegro are included in the Serbia HDI categoryAgeAge refers to a person's age in whole years as at 31 December.InformationPopulation 31 DecPopulation at the end of the statistical reference period.

Data cited at : https://www.bis.org/statistics/index.htm

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.

Imputed observations are not based on national data, are subject to high uncertainty and should not be used for country comparisons or rankings. 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. The series is part of the ILO modelled 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 ILOSTAT pages on concepts and definitions and ILO modelled estimates and projections.

Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 005 -- Energy import and export by country, % http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_005_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description kuvaus Consepts and definitions *Year preliminary

Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 006 -- Energy import and export by country, proportion % http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_006_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description kuvaus Consepts and definitions *Year preliminary

Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- Energy import and export by country http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_004_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description Consepts and definitions *Year preliminary

 Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Netherlands: External Migration Statistics https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=03742eng&_theme=1088 License: http://creativecommons.org/licenses/by/4.0/   Immigration and emigration and the administrative corrections in the Netherlands by country of birth, sex, age and marital status

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.

Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 008 -- Nationality according to age and sex by region in 1990 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_008.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description These statistics apply the regional division of 1 January 2018 to the whole time series. Population statistics from 1750 to 2000 have been digitised into PDF format in the National Library's Doria service. Publications on Population structure in Doria (in Finnish) Publications on Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish)Nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. Citizens of non-autonomous states are summed under the mother country.Nationality Czech Republic Czech Republic + Former CzechoslovakiaSudan Sudan + Former Sudan

Data cited at: Statistics Finland  http://www.stat.fi/index_en.html Publication: 009 -- Finnish citizens with dual nationality by age and second nationality in 2000 to 2017 http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__vrm__vaerak/statfin_vaerak_pxt_009.px License: http://creativecommons.org/licenses/by/4.0/ Concepts and definitions Description Quality description Population statistics from 1750 to 2000 have been digitized 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) second nationality If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. second nationality   Czech Republic Czech Republic + Former Czechoslovakia Sudan Sudan + Former Sudan

Contains the statistical data of the fisheries sector, this section include the quantitative production of fish by traditional and commercial fishing. It also includes the fishing licenses boats licenses. This section also includes exports of fish by importing country.

Data cited at: Saudi Arabian Monetary Agency-SAMA

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.

Freedom Status obtained by Combined Average of the Political Rights and Civil Liberties Ratings (Freedom Rating) Range 1-7; 1-2.5 Free; 3-5: Partly Free and 5.5-7: Not Free The score for the A. Electoral Process subcategory The score for the B. Political Pluralism and Participation subcategory The score for the C. Functioning of Government subcategory The score for the Political Rights category The score for the D. Freedom of Expression and Belief subcategory The score for the E. Associational and Organizational Rights subcategory The score for the F. Rule of Law subcategory The score for the G. Personal Autonomy and Individual Rights subcategory The score for the Civil Liberties category Total aggregate Score for all categories  

The Energy sector covers the following variables: OIL PRODUCTION / NATURAL GAS PRODUCTION/Fuel Oil Production/Gas(Diesel Oil )Production /Gasoline Production / Naphtha Production / L.P.G. Production/Asphalt & Other Production/ Electricity production and its consumption The water sector covers Water production and consumption.

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."

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.

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.

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. 

Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Competitiveness Report Publication URL: https://www.weforum.org/reports/the-global-competitiveness-report-2020 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

Global Entrepreneurship Index provides information about global entrepreneurship sub Index ranks and scoring of all countries. It also provides information about certain indicators like attitudes, abilities and aspirations with their ranks and scores

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.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Financial Inclusion (Global Findex) Database Publication: https://datacatalog.worldbank.org/dataset/global-financial-inclusion-global-findex-database License: http://creativecommons.org/licenses/by/4.0/   The Global Financial Inclusion Database provides 850+ country-level indicators of financial inclusion summarized for all adults and disaggregated by key demographic characteristics-gender, age, education, income, employment status and rural residence. Covering more than 140 economies, the indicators of financial inclusion measure how people save, borrow, make payments and manage risk. The reference citation for the data is: Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. World Bank: Washington, DC.

Data cited at: Institute for Economics and Peace retrieved from Vision of Humanity  The Global Peace Index 2022

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 cited at:  Institute for Economics & Peace and available from http://visionofhumanity.org/reports Note: The Year of data has been considered as year of publication, for example 2020 report is considered as year 2020.   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.  

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.

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.

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.

Data cited at: CAIT, retrieved from Climate Watch Climate Watch Historical Emission data contains sector-level greenhouse gas (GHG) emissions data for 194 countries and the European Union (EU) for the period 1990-2019, including emissions of the six major GHGs from most major sources and sinks. Non-CO2 emissions are expressed in CO2 equivalents using 100-year global warming potential values from IPCC Fourth Assessment Report.

Data cited at: Financial Tracking Service

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

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.

International services – detailed annual statistics for trade in services and services supplied through affiliates.

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.

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/

FAOSTAT database on Agriculture Machinery is no longer active. The latest online version of the database has as reference year 2009 (with data collected in year 2011). 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.

Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Human Capital Report 2017 Publication URL: https://www.weforum.org/reports/the-global-human-capital-report-2017 License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

Data cited at : https://www.bis.org/statistics/index.htm

Data cited at : https://www.bis.org/statistics/index.htm

Data cited at : https://www.bis.org/statistics/index.htm   Locational Banking Statistics : Cross-Border Positions, by Residence and Sector of Counterparty

Data cited at : https://www.bis.org/statistics/index.htm   Locational banking statistics: Cross-border positions, by nationality of reporting bank and sector of counterparty    

Merchandise Trade values & Merchandise trade - indices and prices

Notes : 2010 is Estimated Population, 2030 is Projected Population.

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/

Data cited at: Portulans Institute (PI)-http://portulansinstitute.org/   The Network Readiness Index 2023 ranks a total of 134 economies that collectively account for 95 percent of global gross domestic product (GDP). In the latest rankings, the United States and Singapore have retained their top positions as Rank 1 and 2, respectively, from the previous year. A notable advancement is Finland, which has surged by 4 places to secure 3rd place from its 7th position last year. Following closely are the Netherlands and Sweden, now ranking 4th and 5th, respectively. Completing the top 10 are Switzerland (6th, down from 5th in NRI 2022), Republic of Korea (7th, up from 9th), Denmark (8th, down from 6th), Germany (9th, down from 8th), and the United Kingdom (10th, up from 12th). China has ascended to the 20th position, marking the only upper-middle-income country in the top 20. Conversely, Norway has experienced a significant decline, now standing at 16th place, down from 10th in 2022. The top 10 performers in NRI 2023 underscore that advanced economies in Europe, the Americas, Asia, and the Pacific are leading the way in terms of network readiness. Specifically, among the top 25 countries, 16 are from Europe (primarily Northern and Western Europe), five hail from Eastern and Southeastern Asia (including Singapore, the Republic of Korea, China, Hong Kong, and Japan), two come from Oceania (Australia and New Zealand), and two are from North America (Canada and the United States). Of the economies covered in this year's index, 49 are high-income economies, 32 are upper-middle-income countries, 36 are lower-middle-income countries, and 14 are low-income countries. In terms of regional distribution, there are 33 African countries, 12 Arab States, 21 economies from Asia and the Pacific, 7 from the Commonwealth of Independent States (CIS), 41 European countries, and 20 countries from the Americas.

Data cited at: Wikipedia https://en.wikipedia.org Topic: Olympic medal table Publication URL: https://en.wikipedia.org/wiki/Olympic_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License

Data cited at: Wikipedia https://en.wikipedia.org Topic: All-time Olympic Games medal table Publication URL: https://en.wikipedia.org/wiki/All-time_Olympic_Games_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License

Data cited at: Wikipedia https://en.wikipedia.org Topic: All-time Olympic Games medal table Publication URL: https://en.wikipedia.org/wiki/All-time_Olympic_Games_medal_table License : https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License

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.

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

Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Population; sex, age, migration background and generation, 1 January https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=37325eng&_theme=1088 License: http://creativecommons.org/licenses/by/4.0/  

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Population Estimates And Projections Publication: https://datacatalog.worldbank.org/dataset/population-estimates-and-projections License: http://creativecommons.org/licenses/by/4.0/   This database presents population and other demographic estimates and projections from 1960 to 2050. They are disaggregated by age-group and sex and covers more than 200 economies.

This is part of a supporting dataset for Lester R. Brown, Full Planet, Empty Plates: The New Geopolitics of Food Scarcity (New York: W.W. Norton & Company, 2012).

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Quarterly External Debt Statistics GDDS Publication: https://datacatalog.worldbank.org/dataset/quarterly-external-debt-statistics-gdds License: http://creativecommons.org/licenses/by/4.0/   The World Bank launched the new Quarterly External Debt Statistics (QEDS) GDDS database. This database is consistent with the classifications and definitions of the 2013 External Debt Statistics: Guide for Compilers and Users (2013 EDS Guide) and Sixth Edition of Balance of Payments and International Investment Position Manual (BPM6). The QEDS GDDS database provides external debt data, starting from 2002Q4, for an extension of countries that participate in the IMF's General Data Dissemination System (GDDS).

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Quarterly Public Sector Debt Publication: https://datacatalog.worldbank.org/dataset/quarterly-public-sector-debt License: http://creativecommons.org/licenses/by/4.0/   Quarterly Public Sector Debt (QPSD) database, jointly developed by the World Bank and the International Monetary Fund, brings together detailed public sector debt data of selected countries. The QPSD database includes country and cross-country tables, and specific public debt components. The data represent the following sectors on an as-available basis: General government; otherwise Central government; otherwise Budgetary central government; Non Financial public corporations and Financial public corporations and a table presenting the total public sector debt.

Restrictions apply: https://www.scimagojr.com/aboutus.php   Citation: SCImago, (n.d.). SJR — SCImago Journal & Country Rank [Portal]. Retrieved Date you Retrieve, from http://www.scimagojr.com   SCImago Journal Rank: It expresses the average number of weighted citations received in the selected year by the documents published in the selected journal in the three previous years, --i.e. weighted citations received in year X to documents published in the journal in years X-1, X-2 and X-3. H Index: The h index expresses the journal's number of articles (h) that have received at least h citations. It quantifies both journal scientific productivity and scientific impact and it is also applicable to scientists, countries, etc. Total Documents: Output of the selected period. All types of documents are considered, including citable and non citable documents. Total Cites (3years): Number of citations received in the seleted year by a journal to the documents published in the three previous years, --i.e. citations received in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Self Cites: Number of journal's self-citations in the selected year to its own documents published in the three previous years, --i.e. self-citations in year X to documents published in years X-1, X-2 and X-3. All types of documents are considered. Cited Documents: Number of documents cited at least once in the three previous years, --i.e. years X-1, X-2 and X-3 Cites per Document (2 years): Average citations per document in a 2 year period. It is computed considering the number of citations received by a journal in the current year to the documents published in the two previous years, --i.e. citations received in year X to documents published in years X-1 and X-2.

Full Name: Activities of U.S. Multinational Enterprises (MNEs), Selected Data for Majority-Owned Foreign Affiliates in All Countries in which Investment was Reported.

Stock Market Performance Indices

Location:-Visitors are coming from mentioned location.(World is total of all visitors) Nationality:-Nationality of visitors, whether the nationality of the visitors is same as the location or they belong to different nationality.(Under this dimension "Total" represents total number of visitors by their nationality) Ports:-Tourist arrival via ports.

Data cited at: The World Economic Forum https://www.weforum.org/ Topic: The Global Enabling Trade Report 2016 Publication URL: http://reports.weforum.org/global-enabling-trade-report-2016/ License: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode   The Enabling Trade Index (ETI) was developed within the context of the World Economic Forum’s Transportation Industry Partnership program, and was first published in The Global Enabling Trade Report 2008. The ETI measures the extent to which individual economies have developed institutions, policies, and services facilitating the free flow of goods over borders and to destination. The structure of the Index reflects the main enablers of trade, breaking them into four overall issue areas, captured in the subindexes: 1) The market access subindex measures the extent to which the policy framework of the country welcomes foreign goods into the economy and enables access to foreign markets for its exporters. 2) The border administration subindex assesses the extent to which the administration at the border facilitates the entry and exit of goods. 3) Infrastructure subindex takes into account whether the country has in place the transport and communications infrastructure necessary to facilitate the movement of goods within the country and across the border. 4) The business environment subindex looks at the quality of governance as well as at the overarching regulatory and security environment impacting the business of importers and exporters active in the country. Each of these four subindexes is composed in turn of a number of pillars of enabling trade, of which there are seven in all. These are: 1) Domestic market access; 2) Foreign market access; 3) Efficiency and transparency of border administration; 4) Availability and quality of transport infrastructure; 5) Availability and quality of transport services; 6) Availability and use of ICTs; 7) Operating environment. Each indicator and sub-indicator is given a score on a scale of 1 to 7 that corresponds to the worst and best possible outcome, respectively.

The data of the sector includes the number of visitors to by tourist location and category of visitors, and hotel services whose data reflect indicators of the number of guests distributed by hotel, governorate, room type, hotel type, nationality of guests, and hotel revenues by type of service.

The rise of travel and tourism has shown significant resilience globally. Despite slow economic growth in advanced economies and geopolitical tensions in some regions, the T&T sector still accounts for a large part of the global economy (estimated to be approximately 9% of global GDP or US$ 7 trillion) and employment, while the number of international travelers continues to increase. According to the World Travel & Tourism Council (WTTC), the T&T sector is forecast to continue growing at 4% annually—faster than financial services, transport and manufacturing

Levels of restrictions on religion Government Restrictions Index Very high- 6.6 to 10.0 High- 4.5 to 6.5 Moderate - 2.4 to 4.4 Low- 0.0 to 2.3 Social Hostilities Index Very high- 7.2 to 10.0 High- 3.6 to 7.1 Moderate- 1.5 to 3.5 Low- 0.0 to 1.4

Country rank and value in the UNCTAD B2C E-commerce Index. Methodology: https://unctad.org/system/files/official-document/tn_unctad_ict4d17_en.pdf  

This database contains country-reported GAM data. For HIV epidemiological estimates, as well as ART and PMTCT indicators

This Dataset contains Regional and National level Data.

Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/    

Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) The green, blue and grey water footprint of crops and derived crop products, Hydrology and Earth System Sciences, 15(5): 1577-1600. License: https://creativecommons.org/licenses/by-sa/3.0/  

Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2012) A global assessment of the water footprint of farm animal products, Ecosystems, 15(3): 401–415. License: https://creativecommons.org/licenses/by-sa/3.0/  

Data cited at: The Water Footprint Network https://waterfootprint.org/en/ Topic: Product water footprint statistics Publication: https://waterfootprint.org/en/resources/waterstat/product-water-footprint-statistics/ Reference: Mekonnen, M.M. & Hoekstra, A.Y. (2011) National water footprint accounts: the green, blue and grey water footprint of production and consumption, Value of Water Research Report Series No.50, UNESCO-IHE, Delft, the Netherlands. License: https://creativecommons.org/licenses/by-sa/3.0/  

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic:Wealth Accounting Publication: https://datacatalog.worldbank.org/dataset/wealth-accounting License: http://creativecommons.org/licenses/by/4.0/   The wealth accounting approach provides two related sets of information: comprehensive wealth accounts (a stock measure in total and per capita values), and adjusted net saving (a flow measure). The wealth accounts were updated in 2018, using a new methodology described in The Changing Wealth of Nations 2018.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Global Economic Monitor Publication: https://datacatalog.worldbank.org/dataset/global-economic-monitor License: http://creativecommons.org/licenses/by/4.0/   The dataset Provides daily updates of global economic developments, with coverage of high income- as well as developing countries. Average period data updates are provided for exchange rates, equity markets, interest rates, stripped bond spreads, and emerging market bond indices. Monthly data coverage (updated daily and populated upon availability) is provided for consumer prices, high-tech market indicators, industrial production and merchandise trade.

Global growth is projected to slow to its third-weakest pace in nearly three decades, overshadowed only by the 2009 and 2020 global recessions. Investment growth in emerging market and developing economies is predicted to remain below its average rate of the past two decades. In his Foreword, World Bank Group President David Malpass emphasizes that the crisis facing development is intensifying. The latest growth forecasts indicate a sharp, long-lasting slowdown and the deterioration is broad-based: in virually all regions of the world, per-captia income growth will be slower than it was during the decade before Covid-19.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: Sustainable Energy For All Publication: https://datacatalog.worldbank.org/dataset/sustainable-energy-all License: http://creativecommons.org/licenses/by/4.0/   The “Sustainable Energy for all (SE4ALL)” initiative, launched in 2010 by the UN Secretary General, established three global objectives to be accomplished by 2030: to ensure universal access to modern energy services, to double the global rate of improvement in global energy efficiency, and to double the share of renewable energy in the global energy mix. SE4ALL database supports this initiative and provides country level historical data for access to electricity and non-solid fuel; share of renewable energy in total final energy consumption by technology; and energy intensity rate of improvement.

Note: World Steel ceased publishing aggregates for world regions after February 2019, we have provided calculated aggregates for the original World Steel regions. 

Data cited at: Charities Aid Foundation   CAF World Giving Index 2019: For the 2019 edition, CAF included aggregate data for each country across the 10 years interview was conducted, namely 2009-2018. This data corresponds to the reports issued the year after interviewing took place (i.e. CAF World Giving Index 2010 refers to data collected in 2009). Due to the small variation in countries Gallup interview in each year, CAF has only included countries in this edition for which data was available for at least eight of the last 10 years. This means that this edition is based on 128 countries.   CAF World Giving Index ranking and scores: In order to establish a rounded measure of giving behavior across the world, the CAF World Giving Index relies on a simple averaging of the responses from the three key questions asked in each country. Each country is given a percentage score and countries are ranked on the basis of these scores. For this 10th edition, CAF has averaged the scores across the 10 years to give aggregate numbers.

  For the following indicators, Knoema modified the original reported values by multiplying by 100 to display in percent value in accordance with the WID unit labels: Capital share of national incomeIncome reduction as a result of income taxLabor share of national incomeNet Corporate Wealth to Net National Income RatioNet national wealth to Net National Income RatioNet Non-Profit Wealth to Net National Income RatioNet Personal Wealth to Net National Income RatioNet Private Wealth to Net National Income RatioNet Public Wealth to Net National Income Ratio

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: World Integrated Trade Solution Trade Stats Publication: https://datacatalog.worldbank.org/dataset/world-integrated-trade-solution-trade-stats License: http://creativecommons.org/licenses/by/4.0/   WITS Trade Stats is a database created by aggregating data from UN COMTRADE and UNCTAD TRAINS database. It provides information on bilateral trade exports, imports and tariffs for over 180 countries and regions.  

1) This dataset contains monthly blast furnace iron (BFI) and direct reduced iron (DRI) production data. The total for the year is not the sum of the 12 calendar months. This is because annual production is reported separately. Regional and grand totals refer to the countries listed only. Other countries report only annual - and not monthly - data. 2) World Steel Association collects Blast Furnace Iron production (BFI) from 39 countries and Direct Reduced Iron production (DRI) production from 14 countries . The 39 countries accounted for approximately 99% of total world BFI production and 14 countries accounted for 85% of total world DRI in 2015.

World Motor Vehicle Sales by Country and Type, 2005-2022

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: World Report On Disability Publication: https://datacatalog.worldbank.org/dataset/world-report-disability License: http://creativecommons.org/licenses/by/4.0/   This dataset provides the World report on disability, Technical appendix A: Estimates of disability prevalence (%) and of years of health lost due to disability (YLD), by country

World's Women 2020: Trends and Statistics. Themes: Population and families