100+ datasets found
  1. 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.

  2. f

    The Global Economic Fallout of a Hypothetical World War III

    • figshare.com
    pdf
    Updated Jun 14, 2025
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    Ashikur Rahman NaziL (2025). The Global Economic Fallout of a Hypothetical World War III [Dataset]. http://doi.org/10.6084/m9.figshare.29320703.v1
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    pdfAvailable download formats
    Dataset updated
    Jun 14, 2025
    Dataset provided by
    figshare
    Authors
    Ashikur Rahman NaziL
    License

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

    Description

    This thesis explores the devastating economic consequences that a hypothetical World War III could have on the global economy. Unlike the previous world wars, this conflict would unfold in a highly globalized, digitally interconnected world—meaning the economic damage would be even more widespread and severe.Drawing from history, the paper analyzes past wars like World War I and II, highlighting how those events caused GDP contractions, hyperinflation, destruction of infrastructure, and long-term debt. It uses these precedents to build realistic scenarios for what could happen if WWIII breaks out today. The study models short-term disruptions like stock market crashes, currency collapse, and trade blockades; medium-term issues like mass unemployment and inflation; and long-term impacts such as technological regression and widespread economic stagnation.The thesis provides regional assessments as well—evaluating how countries like the U.S., China, and nations in Europe and the Global South would fare in different war scenarios, from limited conflicts to full-scale nuclear exchanges. It also discusses secondary effects like energy and food shortages, famine, and the collapse of consumer demand in non-essential sectors.Importantly, the paper doesn’t stop at doom and gloom. It outlines strategic policy responses such as emergency fiscal controls, global debt restructuring, a possible new Bretton Woods system, and a modern-day Marshall Plan to help rebuild economies post-war.In conclusion, the research emphasizes that preventing World War III is not just a matter of global peace, but an absolute economic necessity. Even the strongest economies could collapse, and recovery could take decades—if at all. The thesis serves as both a warning and a call for proactive international diplomacy, economic safeguards, and collective accountability.

  3. G

    Percent of world GDP in Europe | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated May 29, 2019
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    Globalen LLC (2019). Percent of world GDP in Europe | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gdp_share/Europe/
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    csv, excel, xmlAvailable download formats
    Dataset updated
    May 29, 2019
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1980 - Dec 31, 2023
    Area covered
    World, World
    Description

    The average for 2023 based on 44 countries was 0.59 percent. The highest value was in Germany: 4.32 percent and the lowest value was in Andorra: 0 percent. The indicator is available from 1980 to 2023. Below is a chart for all countries where data are available.

  4. Brazil Imports: Price: Other Products: Printed Material

    • ceicdata.com
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    CEICdata.com, Brazil Imports: Price: Other Products: Printed Material [Dataset]. https://www.ceicdata.com/en/brazil/imports-economic-activity-product-price
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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
    Dec 22, 2024 - Mar 16, 2025
    Area covered
    Brazil
    Variables measured
    Merchandise Trade
    Description

    Imports: Price: Other Products: Printed Material data was reported at 5,584.393 USD/Ton in 30 Apr 2025. This records an increase from the previous number of 5,511.667 USD/Ton for 27 Apr 2025. Imports: Price: Other Products: Printed Material data is updated daily, averaging 9,289.425 USD/Ton from Mar 2019 (Median) to 30 Apr 2025, with 263 observations. The data reached an all-time high of 33,802.801 USD/Ton in 11 Sep 2022 and a record low of 4,603.991 USD/Ton in 06 Apr 2025. Imports: Price: Other Products: Printed Material data remains active status in CEIC and is reported by Special Secretariat for Foreign Trade and International Affairs. The data is categorized under Brazil Premium Database’s Foreign Trade – Table BR.JAA010: Imports: Economic Activity: Product: Price.

  5. United States NLB: saar: Capital Account: Addendum: Rest of the World

    • ceicdata.com
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    CEICdata.com, United States NLB: saar: Capital Account: Addendum: Rest of the World [Dataset]. https://www.ceicdata.com/en/united-states/integrated-macroeconomic-accounts-total-economy-and-sectors-selected-aggregates/nlb-saar-capital-account-addendum-rest-of-the-world
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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
    Dec 1, 2014 - Sep 1, 2017
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States NLB: saar: Capital Account: Addendum: Rest of the World data was reported at 569.211 USD bn in Mar 2018. This records an increase from the previous number of 524.026 USD bn for Dec 2017. United States NLB: saar: Capital Account: Addendum: Rest of the World data is updated quarterly, averaging 43.283 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 859.012 USD bn in Sep 2006 and a record low of -42.129 USD bn in Mar 1991. United States NLB: saar: Capital Account: Addendum: Rest of the World data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB074: Integrated Macroeconomic Accounts: Total Economy and Sectors: Selected Aggregates.

  6. Brazil BR: Inflation: GDP Deflator

    • ceicdata.com
    Updated Apr 25, 2021
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    CEICdata.com (2021). Brazil BR: Inflation: GDP Deflator [Dataset]. https://www.ceicdata.com/en/brazil/inflation/br-inflation-gdp-deflator
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    Dataset updated
    Apr 25, 2021
    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, 2012 - Dec 1, 2023
    Area covered
    Brazil
    Variables measured
    Consumer Prices
    Description

    Brazil BR: Inflation:(GDP) Gross Domestic ProductDeflator data was reported at 4.659 % in 2023. This records a decrease from the previous number of 8.570 % for 2022. Brazil BR: Inflation:(GDP) Gross Domestic ProductDeflator data is updated yearly, averaging 20.052 % from Dec 1961 (Median) to 2023, with 63 observations. The data reached an all-time high of 2,736.971 % in 1990 and a record low of 3.671 % in 2017. Brazil BR: Inflation:(GDP) Gross Domestic ProductDeflator data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Inflation. Inflation as measured by the annual growth rate of the GDP implicit deflator shows the rate of price change in the economy as a whole. The GDP implicit deflator is the ratio of GDP in current local currency to GDP in constant local currency.;World Bank national accounts data, and OECD National Accounts data files.;Median;

  7. Costa Rica CR: Binding Coverage: All Products

    • ceicdata.com
    Updated Feb 27, 2018
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    CEICdata.com (2018). Costa Rica CR: Binding Coverage: All Products [Dataset]. https://www.ceicdata.com/en/costa-rica/trade-tariffs/cr-binding-coverage-all-products
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    Dataset updated
    Feb 27, 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, 2008 - Dec 1, 2021
    Area covered
    Costa Rica
    Variables measured
    Merchandise Trade
    Description

    Costa Rica CR: Binding Coverage: All Products data was reported at 99.980 % in 2021. This stayed constant from the previous number of 99.980 % for 2020. Costa Rica CR: Binding Coverage: All Products data is updated yearly, averaging 99.980 % from Dec 1995 (Median) to 2021, with 25 observations. The data reached an all-time high of 100.000 % in 2018 and a record low of 99.960 % in 2006. Costa Rica CR: Binding Coverage: All Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Trade Tariffs. Binding coverage is the percentage of product lines with an agreed bound rate. Bound rates result from trade negotiations incorporated into a country's schedule of concessions and are thus enforceable.;World Bank staff estimates using the World Integrated Trade Solution system, based on data from World Trade Organization.;;The tariff data for the European Union (EU) apply to EU Member States in alignment with the EU membership for the respective countries/economies and years. In the context of the tariff data, the EU membership for a given country/economy and year is defined for the entire year during which the country/economy was a member of the EU (irrespective of the date of accession to or withdrawal from the EU within a given year). The tariff data for the EU are, thus, applicable to Belgium, France, Germany, Italy, Luxembourg, and the Netherlands (EU Member State(s) since 1958), Denmark and Ireland (EU Member State(s) since 1973), the United Kingdom (EU Member State(s) from 1973 until 2020), Greece (EU Member State(s) since 1981), Spain and Portugal (EU Member State(s) since 1986), Austria, Finland, and Sweden (EU Member State(s) since 1995), Czech Republic, Estonia, Cyprus, Latvia, Lithuania, Hungary, Malta, Poland, Slovakia, and Slovenia (EU Member State(s) since 2004), Romania and Bulgaria (EU Member State(s) since 2007), Croatia (EU Member State(s) since 2013). For more information, please revisit the technical note on bilateral applied tariff (https://wits.worldbank.org/Bilateral-Tariff-Technical-Note.html).

  8. Costa Rica CR: Net Lending (+) / Net Borrowing (-): % of GDP

    • ceicdata.com
    Updated Mar 1, 2018
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    CEICdata.com (2018). Costa Rica CR: Net Lending (+) / Net Borrowing (-): % of GDP [Dataset]. https://www.ceicdata.com/en/costa-rica/government-revenue-expenditure-and-finance/cr-net-lending---net-borrowing---of-gdp
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    Dataset updated
    Mar 1, 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, 2004 - Dec 1, 2022
    Area covered
    Costa Rica
    Variables measured
    Operating Statement
    Description

    Costa Rica CR: Net Lending (+) / Net Borrowing (-): % of GDP data was reported at 0.439 % in 2023. This records an increase from the previous number of -0.052 % for 2022. Costa Rica CR: Net Lending (+) / Net Borrowing (-): % of GDP data is updated yearly, averaging -1.868 % from Dec 1973 (Median) to 2023, with 47 observations. The data reached an all-time high of 1.699 % in 2007 and a record low of -7.221 % in 1980. Costa Rica CR: Net Lending (+) / Net Borrowing (-): % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Government Revenue, Expenditure and Finance. Net lending (+) / net borrowing (–) equals government revenue minus expense, minus net investment in nonfinancial assets. It is also equal to the net result of transactions in financial assets and liabilities. Net lending/net borrowing is a summary measure indicating the extent to which government is either putting financial resources at the disposal of other sectors in the economy or abroad, or utilizing the financial resources generated by other sectors in the economy or from abroad.;International Monetary Fund, Government Finance Statistics Yearbook and data files.;Weighted average;

  9. Oman OM: Depth of Credit Information Index: 0=Low To 8=High

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). Oman OM: Depth of Credit Information Index: 0=Low To 8=High [Dataset]. https://www.ceicdata.com/en/oman/business-environment/om-depth-of-credit-information-index-0low-to-8high
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    Dataset updated
    Nov 27, 2021
    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, 2013 - Dec 1, 2017
    Area covered
    Oman
    Variables measured
    Business Climate Survey
    Description

    Oman OM: Depth of Credit Information Index: 0=Low To 8=High data was reported at 6.000 NA in 2017. This stayed constant from the previous number of 6.000 NA for 2016. Oman OM: Depth of Credit Information Index: 0=Low To 8=High data is updated yearly, averaging 6.000 NA from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 6.000 NA in 2017 and a record low of 6.000 NA in 2017. Oman OM: Depth of Credit Information Index: 0=Low To 8=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Oman – Table OM.World Bank.WDI: Business Environment. Depth of credit information index measures rules affecting the scope, accessibility, and quality of credit information available through public or private credit registries. The index ranges from 0 to 8, with higher values indicating the availability of more credit information, from either a public registry or a private bureau, to facilitate lending decisions.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year. Data before 2013 are not comparable with data from 2013 onward due to methodological changes.

  10. Laos LA: GDP: Real

    • ceicdata.com
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    CEICdata.com, Laos LA: GDP: Real [Dataset]. https://www.ceicdata.com/en/laos/gross-domestic-product-real/la-gdp-real
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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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Laos
    Variables measured
    Gross Domestic Product
    Description

    Laos LA: GDP: Real data was reported at 116,422,000.000 LAK mn in 2017. This records an increase from the previous number of 108,914,778.799 LAK mn for 2016. Laos LA: GDP: Real data is updated yearly, averaging 36,152,703.225 LAK mn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 116,422,000.000 LAK mn in 2017 and a record low of 14,880,817.849 LAK mn in 1984. Laos LA: GDP: Real data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Gross Domestic Product: Real. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant local currency.; ; World Bank national accounts data, and OECD National Accounts data files.; ;

  11. Saint Lucia LC: Exports: % of Total Goods Exports: The Arab World

    • ceicdata.com
    Updated Aug 30, 2018
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    CEICdata.com (2018). Saint Lucia LC: Exports: % of Total Goods Exports: The Arab World [Dataset]. https://www.ceicdata.com/en/saint-lucia/exports/lc-exports--of-total-goods-exports-the-arab-world
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    Dataset updated
    Aug 30, 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, 2004 - Dec 1, 2016
    Area covered
    Saint Lucia
    Description

    Saint Lucia LC: Exports: % of Total Goods Exports: The Arab World data was reported at 0.183 % in 2016. This records an increase from the previous number of 0.048 % for 2015. Saint Lucia LC: Exports: % of Total Goods Exports: The Arab World data is updated yearly, averaging 0.013 % from Dec 1986 (Median) to 2016, with 26 observations. The data reached an all-time high of 0.981 % in 1995 and a record low of 0.000 % in 1992. Saint Lucia LC: Exports: % of Total Goods Exports: The Arab World data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s St. Lucia – Table LC.World Bank: Exports. Merchandise exports to economies in the Arab World are the sum of merchandise exports by the reporting economy to economies in the Arab World. Data are expressed as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

  12. F

    France FR: Exports: Goods: by Reporting Economy

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). France FR: Exports: Goods: by Reporting Economy [Dataset]. https://www.ceicdata.com/en/france/exports/fr-exports-goods-by-reporting-economy
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    Dataset updated
    Dec 15, 2017
    Dataset provided by
    CEICdata.com
    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
    France
    Variables measured
    Merchandise Trade
    Description

    France FR: Exports: Goods: by Reporting Economy data was reported at 501.434 USD bn in 2016. This records a decrease from the previous number of 506.102 USD bn for 2015. France FR: Exports: Goods: by Reporting Economy data is updated yearly, averaging 165.545 USD bn from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 617.375 USD bn in 2008 and a record low of 6.754 USD bn in 1960. France FR: Exports: Goods: by Reporting Economy data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Exports. Merchandise exports by the reporting economy are the total merchandise exports by the reporting economy to the rest of the world, as reported in the IMF's Direction of trade database. Data are in current US$.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Sum;

  13. Laos LA: Domestic General Government Health Expenditure: % of GDP

    • ceicdata.com
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    CEICdata.com, Laos LA: Domestic General Government Health Expenditure: % of GDP [Dataset]. https://www.ceicdata.com/en/laos/health-statistics/la-domestic-general-government-health-expenditure--of-gdp
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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
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    Laos
    Description

    Laos LA: Domestic General Government Health Expenditure: % of GDP data was reported at 0.988 % in 2015. This records an increase from the previous number of 0.765 % for 2014. Laos LA: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 0.843 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 1.539 % in 2001 and a record low of 0.408 % in 2011. Laos LA: Domestic General Government Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;

  14. United States US: Expenditure: Subsidies and Other Transfers

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States US: Expenditure: Subsidies and Other Transfers [Dataset]. https://www.ceicdata.com/en/united-states/government-revenue-expenditure-and-finance/us-expenditure-subsidies-and-other-transfers
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    Dataset updated
    Feb 15, 2025
    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, 2005 - Sep 1, 2016
    Area covered
    United States
    Variables measured
    Operating Statement
    Description

    United States US: Expenditure: Subsidies and Other Transfers data was reported at 2,777.089 USD bn in 2016. This records an increase from the previous number of 2,693.762 USD bn for 2015. United States US: Expenditure: Subsidies and Other Transfers data is updated yearly, averaging 1,223.301 USD bn from Sep 1986 (Median) to 2016, with 31 observations. The data reached an all-time high of 2,777.089 USD bn in 2016 and a record low of 31.590 USD bn in 1988. United States US: Expenditure: Subsidies and Other Transfers 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.WDI: Government Revenue, Expenditure and Finance. Subsidies, grants, and other social benefits include all unrequited, nonrepayable transfers on current account to private and public enterprises; grants to foreign governments, international organizations, and other government units; and social security, social assistance benefits, and employer social benefits in cash and in kind.; ; International Monetary Fund, Government Finance Statistics Yearbook and data files.; ;

  15. United States RW: saar: FA: NAFA: EIFS: Corporate Equities

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States RW: saar: FA: NAFA: EIFS: Corporate Equities [Dataset]. https://www.ceicdata.com/en/united-states/integrated-macroeconomic-accounts-rest-of-the-world/rw-saar-fa-nafa-eifs-corporate-equities
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    Dataset updated
    Feb 15, 2025
    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
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States RW: saar: FA: NAFA: EIFS: Corporate Equities data was reported at 191.968 USD bn in Mar 2018. This records an increase from the previous number of -50.748 USD bn for Dec 2017. United States RW: saar: FA: NAFA: EIFS: Corporate Equities data is updated quarterly, averaging 1.110 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 407.052 USD bn in Dec 2007 and a record low of -555.132 USD bn in Dec 2015. United States RW: saar: FA: NAFA: EIFS: Corporate Equities data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB081: Integrated Macroeconomic Accounts: Rest of the World.

  16. Togo TG: Imports: % of Total Goods Imports: The Arab World

    • ceicdata.com
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    CEICdata.com, Togo TG: Imports: % of Total Goods Imports: The Arab World [Dataset]. https://www.ceicdata.com/en/togo/imports/tg-imports--of-total-goods-imports-the-arab-world
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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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Togo
    Description

    Togo TG: Imports: % of Total Goods Imports: The Arab World data was reported at 6.710 % in 2016. This records a decrease from the previous number of 8.768 % for 2015. Togo TG: Imports: % of Total Goods Imports: The Arab World data is updated yearly, averaging 2.277 % from Dec 1962 (Median) to 2016, with 55 observations. The data reached an all-time high of 8.768 % in 2015 and a record low of 0.209 % in 1977. Togo TG: Imports: % of Total Goods Imports: The Arab World data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Togo – Table TG.World Bank: Imports. Merchandise imports from economies in the Arab World are the sum of merchandise imports by the reporting economy from economies in the Arab World. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

  17. C

    Central African Republic CF: Imports: % of Total Goods Imports: The Arab...

    • ceicdata.com
    Updated Mar 2, 2018
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    CEICdata.com (2018). Central African Republic CF: Imports: % of Total Goods Imports: The Arab World [Dataset]. https://www.ceicdata.com/en/central-african-republic/imports/cf-imports--of-total-goods-imports-the-arab-world
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    Dataset updated
    Mar 2, 2018
    Dataset provided by
    CEICdata.com
    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, 2009 - Dec 1, 2020
    Area covered
    Central African Republic
    Variables measured
    Merchandise Trade
    Description

    Central African Republic CF: Imports: % of Total Goods Imports: The Arab World data was reported at 6.163 % in 2023. This records an increase from the previous number of 5.903 % for 2022. Central African Republic CF: Imports: % of Total Goods Imports: The Arab World data is updated yearly, averaging 1.615 % from Dec 1960 (Median) to 2023, with 60 observations. The data reached an all-time high of 11.412 % in 2015 and a record low of 0.026 % in 1980. Central African Republic CF: Imports: % of Total Goods Imports: The Arab World data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Imports. Merchandise imports from economies in the Arab World are the sum of merchandise imports by the reporting economy from economies in the Arab World. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;

  18. C

    Costa Rica CR: Logistics Performance Index: 1=Low To 5=High: Frequency with...

    • dr.ceicdata.com
    • ceicdata.com
    Updated Jun 6, 2025
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    CEICdata.com (2025). Costa Rica CR: Logistics Performance Index: 1=Low To 5=High: Frequency with which Shipments Reach Consignee within Scheduled or Expected Time [Dataset]. https://www.dr.ceicdata.com/de/costa-rica/transportation/cr-logistics-performance-index-1low-to-5high-frequency-with-which-shipments-reach-consignee-within-scheduled-or-expected-time
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    Dataset updated
    Jun 6, 2025
    Dataset provided by
    CEICdata.com
    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, 2007 - Dec 1, 2022
    Area covered
    Costa Rica
    Variables measured
    Vehicle Traffic
    Description

    Costa Rica CR: Logistics Performance Index: 1=Low To 5=High: Frequency with which Shipments Reach Consignee within Scheduled or Expected Time data was reported at 3.200 NA in 2022. This records an increase from the previous number of 3.160 NA for 2018. Costa Rica CR: Logistics Performance Index: 1=Low To 5=High: Frequency with which Shipments Reach Consignee within Scheduled or Expected Time data is updated yearly, averaging 3.160 NA from Dec 2007 (Median) to 2022, with 7 observations. The data reached an all-time high of 3.710 NA in 2010 and a record low of 2.890 NA in 2007. Costa Rica CR: Logistics Performance Index: 1=Low To 5=High: Frequency with which Shipments Reach Consignee within Scheduled or Expected Time data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Transportation. Data are from the Logistics Performance Index survey conducted by the World Bank in partnership with academic and international institutions and private companies and individuals engaged in international logistics. Respondents evaluate eight countries on six core dimensions on a scale from 1 (worst) to 5 (best). The eight countries 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. The 2023 LPI survey was conducted from September 6 to November 5, 2022. It provided 4,090 country assessments by 652 logistics professionals in 115 countries in all World Bank regions. Details of the survey methodology and index construction methodology are included in Appendix 5 of the 2023 LPI report available at: https://lpi.worldbank.org/report. Respondents assessed how often the shipments to assessed markets reach the consignee within the scheduled or expected delivery time, on a rating ranging from 1 (hardly ever) to 5 (nearly always). Scores are averaged across all respondents.;Data are available online at: https://lpi.worldbank.org/. Summary results are published in World Bank (2023): Connecting to Compete: Trade Logistics in the Global Economy, The Logistics Performance Index and Its Indicators.;Unweighted average;

  19. Togo TG: Time Required to Build a Warehouse

    • ceicdata.com
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    CEICdata.com, Togo TG: Time Required to Build a Warehouse [Dataset]. https://www.ceicdata.com/en/togo/company-statistics/tg-time-required-to-build-a-warehouse
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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
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Togo
    Description

    Togo TG: Time Required to Build a Warehouse data was reported at 163.000 Day in 2017. This stayed constant from the previous number of 163.000 Day for 2016. Togo TG: Time Required to Build a Warehouse data is updated yearly, averaging 300.000 Day from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 300.000 Day in 2012 and a record low of 163.000 Day in 2017. Togo TG: Time Required to Build a Warehouse data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Togo – Table TG.World Bank: Company Statistics. Time required to build a warehouse is the number of calendar days needed to complete the required procedures for building a warehouse. If a procedure can be speeded up at additional cost, the fastest procedure, independent of cost, is chosen.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.

  20. United States Liabilities: Flow: Rest of the World (RW)

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States Liabilities: Flow: Rest of the World (RW) [Dataset]. https://www.ceicdata.com/en/united-states/funds-by-sector-flows-and-outstanding-rest-of-the-world/liabilities-flow-rest-of-the-world-rw
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    Dataset updated
    Mar 29, 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
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States Liabilities: Flow: Rest of the World (RW) data was reported at 125.168 USD bn in Mar 2018. This records a decrease from the previous number of 176.370 USD bn for Dec 2017. United States Liabilities: Flow: Rest of the World (RW) data is updated quarterly, averaging 10.277 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 453.176 USD bn in Jun 2007 and a record low of -152.541 USD bn in Dec 2015. United States Liabilities: Flow: Rest of the World (RW) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB034: Funds by Sector: Flows and Outstanding: Rest of the World.

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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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United States 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.

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