100+ datasets found
  1. e

    Data from: World Mineral Statistics Dataset

    • data.europa.eu
    html
    Updated Oct 11, 2021
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    Bath and North East Somerset Council (2021). World Mineral Statistics Dataset [Dataset]. https://data.europa.eu/set/data/world-mineral-statistics-dataset1
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    htmlAvailable download formats
    Dataset updated
    Oct 11, 2021
    Dataset authored and provided by
    Bath and North East Somerset Council
    Description

    The Bath and North East Somerset Council has one of the largest databases in the world on the production and trade of minerals. The dataset contains annual production statistics by mass for more than 70 mineral commodities covering the majority of economically important and internationally-traded minerals, metals and mineral-based materials. For each commodity the annual production statistics are recorded for individual countries, grouped by continent. Import and export statistics are also available for years up to 2002. Maintenance of the database is funded by the Science Budget and output is used by government, private industry and others in support of policy, economic analysis and commercial strategy. As far as possible the production data are compiled from primary, official sources. Quality assurance is maintained by participation in such groups as the International Consultative Group on Non-ferrous Metal Statistics. Individual commodity and country tables are available for sale on request.

  2. United States US: GDP: Growth: Gross Value Added: Services

    • ceicdata.com
    Updated Dec 15, 2010
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    CEICdata.com (2010). United States US: GDP: Growth: Gross Value Added: Services [Dataset]. https://www.ceicdata.com/en/united-states/gross-domestic-product-annual-growth-rate/us-gdp-growth-gross-value-added-services
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    Dataset updated
    Dec 15, 2010
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States US: GDP: Growth: Gross Value Added: Services data was reported at 2.621 % in 2015. This records an increase from the previous number of 2.221 % for 2014. United States US: GDP: Growth: Gross Value Added: Services data is updated yearly, averaging 2.335 % from Dec 1998 (Median) to 2015, with 18 observations. The data reached an all-time high of 4.456 % in 1999 and a record low of -1.772 % in 2009. United States US: GDP: Growth: Gross Value Added: Services data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for value added in services based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Services correspond to ISIC divisions 50-99. They include value added in wholesale and retail trade (including hotels and restaurants), transport, and government, financial, professional, and personal services such as education, health care, and real estate services. Also included are imputed bank service charges, import duties, and any statistical discrepancies noted by national compilers as well as discrepancies arising from rescaling. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The industrial origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

  3. d

    Replication Data for: IMF lending: partisanship, punishment, and protest

    • search.dataone.org
    Updated Dec 16, 2023
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    Abouharb, M Rodwan; Reinsberg, Bernhard (2023). Replication Data for: IMF lending: partisanship, punishment, and protest [Dataset]. http://doi.org/10.7910/DVN/D2XPSP
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    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Abouharb, M Rodwan; Reinsberg, Bernhard
    Description

    We argue that governments allocate adjustment burdens strategically to protect their supporters, imposing adjustment costs upon the supporters of their opponents, who then protest in response. Using large-N micro-level survey data from three world regions and a global survey, it discusses the local political economy of International Monetary Fund (IMF) lending. It finds that opposition supporters in countries under an IMF structural adjustment program (SAP) are more likely to report that the IMF SAP increased economic hardships than government supporters and countries without IMF exposure. In addition, it finds that partisan gaps in IMF SAP evaluations widen in IMF program countries with an above-median number of conditions, suggesting that opposition supporters face heavier adjustment burdens, and that opposition supporters who think SAPs made their lives worse are more likely to protest.

  4. Global internet users concerns toward AI use of companies 2024

    • statista.com
    Updated Jan 24, 2025
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    Statista (2025). Global internet users concerns toward AI use of companies 2024 [Dataset]. https://www.statista.com/statistics/1441034/internet-users-global-concerns-ai-use-of-companies/
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    Dataset updated
    Jan 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2023, 62 percent of surveyed internet users worldwide expressed concerns regarding organizational use of AI. A further 60 percent said they had already lost trust in companies because of their use of AI. However, some 48 percent of the survey respondents said AI can positively impact and help improve our lives. Furthermore, 54 percent said they would share anonymized personal data to improve AI products.

  5. Trends in International Mathematics and Science Study, 2015

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Aug 12, 2023
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    National Center for Education Statistics (NCES) (2023). Trends in International Mathematics and Science Study, 2015 [Dataset]. https://catalog.data.gov/dataset/trends-in-international-mathematics-and-science-study-2015-3ef9e
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    The Trends in International Mathematics and Science Study, 2015 (TIMSS 2015) is a data collection that is part of the Trends in International Mathematics and Science Study (TIMSS) program; program data are available since 1999 at . TIMSS 2015 (https://nces.ed.gov/timss/) is a cross-sectional study that provides international comparative information of the mathematics and science literacy of fourth-, eighth-, and twelfth-grade students and examines factors that may be associated with the acquisition of math and science literacy in students. The study was conducted using direct assessments of students and questionnaires for students, teachers, and school administrators. Fourth-, eighth-, and twelfth-graders in the 2014-15 school year were sampled. Key statistics produced from TIMSS 2015 provide reliable and timely data on the mathematics and science achievement of U.S. students compared to that of students in other countries. Data are expected to be released in 2018.

  6. F

    International Merchandise Trade Statistics: Imports: Commodities for Poland

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
    + more versions
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    (2025). International Merchandise Trade Statistics: Imports: Commodities for Poland [Dataset]. https://fred.stlouisfed.org/series/POLXTIMVA01CXMLQ
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    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Poland
    Description

    Graph and download economic data for International Merchandise Trade Statistics: Imports: Commodities for Poland (POLXTIMVA01CXMLQ) from Q1 1980 to Q1 2025 about Poland, imports, and trade.

  7. T

    El Salvador - GDP, PPP (current International $)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 4, 2017
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    TRADING ECONOMICS (2017). El Salvador - GDP, PPP (current International $) [Dataset]. https://tradingeconomics.com/el-salvador/gdp-ppp-us-dollar-wb-data.html
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    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jun 4, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    El Salvador
    Description

    GDP, PPP (current international $) in El Salvador was reported at 79861125890 USD in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. El Salvador - GDP, PPP (current international $) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  8. w

    Consolidated Exposures – Immediate and Ultimate Risk Basis

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    • +2more
    xls
    Updated Aug 23, 2015
    + more versions
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    Reserve Bank of Australia (2015). Consolidated Exposures – Immediate and Ultimate Risk Basis [Dataset]. https://data.wu.ac.at/schema/data_gov_au/ODViOGM0ZDktMjYxYS00ZDE2LWFmNjQtOTNlZmI5MDhkMzc4
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    xls(105984.0)Available download formats
    Dataset updated
    Aug 23, 2015
    Dataset provided by
    Reserve Bank of Australia
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    In March 2003, banks and selected Registered Financial Corporations (RFCs) began reporting their international assets, liabilities and country exposures to APRA in ARF/RRF 231 International Exposures. This return is the basis of the data provided by Australia to the Bank for International Settlements (BIS) for its International Banking Statistics (IBS) data collection. APRA ceased the RFC data collection after September 2010.

    The IBS data are based on the methodology described in the BIS Guide on International Financial Statistics (see http://www.bis.org/statistics/intfinstatsguide.pdf; Part II International banking statistics). Data reported for Australia, and other countries, on the BIS website are expressed in United States dollars (USD).

    Data are recorded on an end-quarter basis.

    This statistical table contains two data worksheets - one presenting data expressed in Australian dollar (AUD) terms and the other in USD terms.

    There are two sets of IBS data: locational data, which are used to gauge the role of banks and financial centres in the intermediation of international capital flows; and consolidated data, which can be used to monitor the country risk exposure of national banking systems. Only consolidated data are reported in this statistical table.

    ‘Total banks and RFCs’ is also reported in USD equivalent amounts, using the end-quarter AUD/USD exchange rate from statistical table F11.

    The consolidated data reported in this statistical table are on the international exposures of banks (and RFCs between March 2003 and September 2010) operating in Australia. The types of assets included here are consistent with the locational data in statistical table B12.1. However, the consolidated data differ from the locational data in three key ways: foreign currency positions with Australian residents are excluded (whereas they are included in the locational data); claims between different offices of the same institution (e.g. between the head office and its subsidiary) are netted (whereas positions, including intra-group positions, are reported on a gross basis in the locational data); and on-balance sheet derivatives are not included in international claims or foreign claims, but are included separately under ‘Derivatives’ in statistical table B13.2. Foreign-owned reporting entities report on an unconsolidated basis.

    The consolidated data are split by type of exposure. ‘International claims’ refers to all cross-border claims plus foreign offices’ local claims on residents in foreign currencies; foreign claims refers to all cross-border claims plus foreign offices’ local claims on residents in both local and foreign currencies; immediate risk claims (expressed by the BIS as claims on an immediate borrower basis) cover claims based on the country where the immediate counterparty resides; and ultimate risk claims cover immediate exposures adjusted (via guarantees and other risk transfers) to reflect the location of the ultimate counterparty/risk.

    Foreign offices include the overseas branches, subsidiaries and joint ventures of a bank (or RFC between March 2003 and September 2010).

    Risk transfers are those transfers of risk from the country of the immediate borrower to the country of ultimate risk as a result of guarantees, collateral, and where the counterparty is a legally dependent branch of a bank headquartered in another country. The risk reallocation includes loans to Australian borrowers that are guaranteed by foreign entities and therefore represent outward risk transfers from Australia, which increase the ultimate exposure to the country of the guarantor. Similarly, foreign lending that is guaranteed by Australian entities is reported as an inward risk transfer to Australia, which reduces the ultimate exposure to the country of the foreign borrower. The risk reallocation also includes transfers between different economic sectors (banks, public sector and non-bank private sector) in the same country.

    Foreign claims on an ultimate risk basis are shown for the following types of reporting entity: Australian-owned banks (i.e. those with their parent entity legally incorporated in Australia); foreign subsidiary banks; branches of foreign banks; RFCs; and Australian-owned entities (i.e. Australian-owned banks and RFCs). The RFC data are only available between March 2003 and September 2010.

    ‘Foreign claims (ultimate risk basis) – Aust-owned entities’ is also reported in USD equivalent amounts, using the end-quarter AUD/USD exchange rate from statistical table F11.

  9. Thailand Length of Stay: Europe: East Europe

    • ceicdata.com
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    CEICdata.com, Thailand Length of Stay: Europe: East Europe [Dataset]. https://www.ceicdata.com/en/thailand/tourism-statistics-from-international-tourist-arrivals
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 1, 2014 - Jun 1, 2017
    Area covered
    Thailand
    Description

    Length of Stay: Europe: East Europe data was reported at 15.910 Day in Jun 2017. This records an increase from the previous number of 14.600 Day for Mar 2017. Length of Stay: Europe: East Europe data is updated quarterly, averaging 13.805 Day from Mar 2005 (Median) to Jun 2017, with 50 observations. The data reached an all-time high of 16.230 Day in Jun 2016 and a record low of 9.390 Day in Jun 2007. Length of Stay: Europe: East Europe data remains active status in CEIC and is reported by TAT Inteligence Center. The data is categorized under Global Database’s Thailand – Table TH.Q014: Tourism Statistics: from International Tourist Arrivals.

  10. Solomon Islands SB: International Tourism: Receipts: % of Total Exports

    • ceicdata.com
    Updated Jul 18, 2018
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    CEICdata.com (2018). Solomon Islands SB: International Tourism: Receipts: % of Total Exports [Dataset]. https://www.ceicdata.com/en/solomon-islands/tourism-statistics
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    Dataset updated
    Jul 18, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Solomon Islands
    Description

    SB: International Tourism: Receipts: % of Total Exports data was reported at 12.796 % in 2016. This records an increase from the previous number of 11.408 % for 2015. SB: International Tourism: Receipts: % of Total Exports data is updated yearly, averaging 10.085 % from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 19.007 % in 2006 and a record low of 1.618 % in 2002. SB: International Tourism: Receipts: % of Total Exports data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Solomon Islands – Table SB.World Bank: Tourism Statistics. International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Their share in exports is calculated as a ratio to exports of goods and services, which comprise all transactions between residents of a country and the rest of the world involving a change of ownership from residents to nonresidents of general merchandise, goods sent for processing and repairs, nonmonetary gold, and services.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files, and IMF and World Bank exports estimates.; Weighted Average;

  11. Twitter: number of monthly active international users 2010-2019

    • statista.com
    Updated Aug 3, 2022
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    Statista (2022). Twitter: number of monthly active international users 2010-2019 [Dataset]. https://www.statista.com/statistics/274565/monthly-active-international-twitter-users/
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    Dataset updated
    Aug 3, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic shows a timeline with the amount of monthly active international Twitter users as of the first quarter of 2019. Excluding the United States, the number of monthly active international Twitter users amounted to 262 million as of the most recent quarter. In total, Twitter had 330 million global monthly active users.

  12. T

    United States - GNI Per Capita, PPP (constant 2011 International $)

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, United States - GNI Per Capita, PPP (constant 2011 International $) [Dataset]. https://tradingeconomics.com/united-states/gni-per-capita-ppp-constant-2011-international-$-wb-data.html
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    json, xml, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    GNI per capita, PPP (constant 2017 international $) in United States was reported at 74190 USD in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - GNI per capita, PPP (constant 2011 international $) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  13. i

    Grant Giving Statistics for International Student Exchange Program Of New...

    • instrumentl.com
    Updated Jul 4, 2025
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    (2025). Grant Giving Statistics for International Student Exchange Program Of New Mexico Foundation [Dataset]. https://www.instrumentl.com/990-report/international-student-exchange-program-of-new-mexico-foundation
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    Dataset updated
    Jul 4, 2025
    Area covered
    New Mexico
    Description

    Financial overview and grant giving statistics of International Student Exchange Program Of New Mexico Foundation

  14. International Energy Data - Alternative Energy

    • catalog.data.gov
    Updated Jul 6, 2021
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    U.S. Energy Information Administration (2021). International Energy Data - Alternative Energy [Dataset]. https://catalog.data.gov/dataset/international-energy-data-alternative-energy
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    Dataset updated
    Jul 6, 2021
    Dataset provided by
    Energy Information Administrationhttp://www.eia.gov/
    Description

    This API provides international data on alternative energy such as biodiesel production and consumption. Data organized by country. Users of the EIA API are required to obtain an API Key via this registration form: http://www.eia.gov/beta/api/register.cfm

  15. i

    Grant Giving Statistics for Health Development International Inc

    • instrumentl.com
    Updated Oct 17, 2021
    + more versions
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    (2021). Grant Giving Statistics for Health Development International Inc [Dataset]. https://www.instrumentl.com/990-report/health-development-international-inc
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    Dataset updated
    Oct 17, 2021
    Description

    Financial overview and grant giving statistics of Health Development International Inc

  16. i

    Grant Giving Statistics for United Family International Inc

    • instrumentl.com
    Updated Mar 19, 2022
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    (2022). Grant Giving Statistics for United Family International Inc [Dataset]. https://www.instrumentl.com/990-report/united-family-international-inc
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    Dataset updated
    Mar 19, 2022
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of United Family International Inc

  17. T

    Morocco - Outstanding International Public Debt Securities To GDP

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 8, 2017
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    TRADING ECONOMICS (2017). Morocco - Outstanding International Public Debt Securities To GDP [Dataset]. https://tradingeconomics.com/morocco/outstanding-international-public-debt-securities-to-gdp-percent-wb-data.html
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    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jun 8, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Morocco
    Description

    Outstanding international public debt securities to GDP (%) in Morocco was reported at 7.2481 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Morocco - Outstanding international public debt securities to GDP - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  18. T

    Czech Republic - International Debt Securities, Nonbanks

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 26, 2017
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    TRADING ECONOMICS (2017). Czech Republic - International Debt Securities, Nonbanks [Dataset]. https://tradingeconomics.com/czech-republic/17_international-debt-securities-nonbanks-wb-data.html
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 26, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Czechia
    Description

    International debt securities, nonbanks in Czech Republic was reported at 14137000000 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Czech Republic - International debt securities, nonbanks - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  19. i

    Grant Giving Statistics for Finding Freedom International

    • instrumentl.com
    Updated May 19, 2022
    + more versions
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    (2022). Grant Giving Statistics for Finding Freedom International [Dataset]. https://www.instrumentl.com/990-report/finding-freedom-international
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    Dataset updated
    May 19, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Finding Freedom International

  20. Number of international schools in China 2016-2017

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Number of international schools in China 2016-2017 [Dataset]. https://www.statista.com/statistics/705169/china-international-school-number/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    This statistic shows the number of international schools in China in 2016 and 2017. In 2017, *** international schools were in operation in China. According to the source, most international schools were located in large metropolitan areas such as Beijing and Shanghai.

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Bath and North East Somerset Council (2021). World Mineral Statistics Dataset [Dataset]. https://data.europa.eu/set/data/world-mineral-statistics-dataset1

Data from: World Mineral Statistics Dataset

Related Article
Explore at:
htmlAvailable download formats
Dataset updated
Oct 11, 2021
Dataset authored and provided by
Bath and North East Somerset Council
Description

The Bath and North East Somerset Council has one of the largest databases in the world on the production and trade of minerals. The dataset contains annual production statistics by mass for more than 70 mineral commodities covering the majority of economically important and internationally-traded minerals, metals and mineral-based materials. For each commodity the annual production statistics are recorded for individual countries, grouped by continent. Import and export statistics are also available for years up to 2002. Maintenance of the database is funded by the Science Budget and output is used by government, private industry and others in support of policy, economic analysis and commercial strategy. As far as possible the production data are compiled from primary, official sources. Quality assurance is maintained by participation in such groups as the International Consultative Group on Non-ferrous Metal Statistics. Individual commodity and country tables are available for sale on request.

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