6 datasets found
  1. GPD & GPD Per Capita By Country

    • kaggle.com
    zip
    Updated Jan 4, 2025
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    C4rl05/V (2025). GPD & GPD Per Capita By Country [Dataset]. https://www.kaggle.com/datasets/cv13j0/gpd-gpd-per-capita-by-country
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    zip(100342 bytes)Available download formats
    Dataset updated
    Jan 4, 2025
    Authors
    C4rl05/V
    Description

    GDP at purchaser's prices 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 current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

    GDP Per Capita is gross domestic product divided by midyear population. 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 current U.S. dollars.

  2. k

    Real GDP Growth Projections

    • datasource.kapsarc.org
    Updated Sep 24, 2025
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    (2025). Real GDP Growth Projections [Dataset]. https://datasource.kapsarc.org/explore/dataset/real-gdp-growth-projections/
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    Dataset updated
    Sep 24, 2025
    Description

    Explore real GDP growth projections dataset, including insights into the impact of COVID-19 on economic trends. This dataset covers countries such as Spain, Australia, France, Italy, Brazil, and more.

    growth rate, Real, COVID-19, GDP

    Spain, Australia, France, Italy, Brazil, Argentina, United Kingdom, United States, Canada, Russia, Turkiye, World, China, Mexico, Korea, India, Saudi Arabia, South Africa, Germany, Indonesia, JapanFollow data.kapsarc.org for timely data to advance energy economics research..Source: OECD Economic Outlook database.- India projections are based on fiscal years, starting in April. The European Union is a full member of the G20, but the G20 aggregate only includes countries that are also members in their own right. Spain is a permanent invitee to the G20. World and G20 aggregates use moving nominal GDP weights at purchasing power parities. Difference in percentage points, based on rounded figures.

  3. European Firms in a Global Economy (EFIGE)

    • kaggle.com
    zip
    Updated Jun 7, 2021
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    Sara Lattarulo (2021). European Firms in a Global Economy (EFIGE) [Dataset]. https://www.kaggle.com/saralattarulo/efige1
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    zip(17958650 bytes)Available download formats
    Dataset updated
    Jun 7, 2021
    Authors
    Sara Lattarulo
    Description

    The database, for the first time in Europe, combines measures of firms’ international activities (eg exports, outsourcing, FDI, imports) with quantitative and qualitative information on about 150 items ranging from R&D and innovation, labour organisation, financing and organisational activities, and pricing behaviour. Data consists of a representative sample (at the country level for the manufacturing industry) of almost 15,000 surveyed firms (above 10 employees) in seven European economies (Germany, France, Italy, Spain, United Kingdom, Austria, Hungary). Data was collected in 2010, covering the years from 2007 to 2009. Special questions related to the behaviour of firms during the crisis were also included in the survey.

  4. w

    Fiscal Monitor (FM)

    • data360.worldbank.org
    • db.nomics.world
    Updated Apr 18, 2025
    + more versions
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    (2025). Fiscal Monitor (FM) [Dataset]. https://data360.worldbank.org/en/dataset/IMF_FM
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    Dataset updated
    Apr 18, 2025
    Time period covered
    1991 - 2029
    Area covered
    Rep., Korea, North Macedonia, Eritrea, Russian Federation, Central African Republic, Kuwait, Chad, Cameroon, Bahrain, Estonia
    Description

    The Fiscal Monitor surveys and analyzes the latest public finance developments, it updates fiscal implications of the crisis and medium-term fiscal projections, and assesses policies to put public finances on a sustainable footing.

    Country-specific data and projections for key fiscal variables are based on the April 2020 World Economic Outlook database, unless indicated otherwise, and compiled by the IMF staff. Historical data and projections are based on information gathered by IMF country desk officers in the context of their missions and through their ongoing analysis of the evolving situation in each country; they are updated on a continual basis as more information becomes available. Structural breaks in data may be adjusted to produce smooth series through splicing and other techniques. IMF staff estimates serve as proxies when complete information is unavailable. As a result, Fiscal Monitor data can differ from official data in other sources, including the IMF's International Financial Statistics.

    The country classification in the Fiscal Monitor divides the world into three major groups: 35 advanced economies, 40 emerging market and middle-income economies, and 40 low-income developing countries. The seven largest advanced economies as measured by GDP (Canada, France, Germany, Italy, Japan, United Kingdom, United States) constitute the subgroup of major advanced economies, often referred to as the Group of Seven (G7). The members of the euro area are also distinguished as a subgroup. Composite data shown in the tables for the euro area cover the current members for all years, even though the membership has increased over time. Data for most European Union member countries have been revised following the adoption of the new European System of National and Regional Accounts (ESA 2010). The low-income developing countries (LIDCs) are countries that have per capita income levels below a certain threshold (currently set at $2,700 in 2016 as measured by the World Bank's Atlas method), structural features consistent with limited development and structural transformation, and external financial linkages insufficiently close to be widely seen as emerging market economies. Zimbabwe is included in the group. Emerging market and middle-income economies include those not classified as advanced economies or low-income developing countries. See Table A, "Economy Groupings," for more details.

    Most fiscal data refer to the general government for advanced economies, while for emerging markets and developing economies, data often refer to the central government or budgetary central government only (for specific details, see Tables B-D). All fiscal data refer to the calendar years, except in the cases of Bangladesh, Egypt, Ethiopia, Haiti, Hong Kong Special Administrative Region, India, the Islamic Republic of Iran, Myanmar, Nepal, Pakistan, Singapore, and Thailand, for which they refer to the fiscal year.

    Composite data for country groups are weighted averages of individual-country data, unless otherwise specified. Data are weighted by annual nominal GDP converted to U.S. dollars at average market exchange rates as a share of the group GDP.

    In many countries, fiscal data follow the IMF's Government Finance Statistics Manual 2014. The overall fiscal balance refers to net lending (+) and borrowing ("") of the general government. In some cases, however, the overall balance refers to total revenue and grants minus total expenditure and net lending.

    The fiscal gross and net debt data reported in the Fiscal Monitor are drawn from official data sources and IMF staff estimates. While attempts are made to align gross and net debt data with the definitions in the IMF's Government Finance Statistics Manual, as a result of data limitations or specific country circumstances, these data can sometimes deviate from the formal definitions.

  5. u

    Intergovernmental Coordination, Accountability, Efficacy and Effectiveness...

    • bia.unibz.it
    Updated Sep 27, 2025
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    M Kölling; M Guderjan; J Schnabel; Alice Valdesalici; Francisco Javier Romero Caro; E Pittali; F Polanski; ZP Brzozowiec (2025). Intergovernmental Coordination, Accountability, Efficacy and Effectiveness of Economic and Social Policy Responses to COVID-19 [Dataset]. https://bia.unibz.it/esploro/outputs/dataset/Intergovernmental-Coordination-Accountability-Efficacy-and-Effectiveness/991007117463001241
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    Dataset updated
    Sep 27, 2025
    Authors
    M Kölling; M Guderjan; J Schnabel; Alice Valdesalici; Francisco Javier Romero Caro; E Pittali; F Polanski; ZP Brzozowiec
    License

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

    Time period covered
    2024
    Description

    The dataset contains a total of 23 economic and social policy responses to COVID-19 in France, Germany, Italy, Poland, Spain and the United Kingdom. For each policy measure it provides information on the scope and objective, decision-making and intergovernmental coordination, accountability, efficacy, and effectiveness. For accounability, the dataset provides information and coding results about parliamentary debates, parliamentary voting and evaluation strategies. For efficicacy, the dataset provides information and coding results about timely implementation, accessibility, erros and fraud and territorial distribution. For effectiveness, the dataset provides information and coding results about goal attainment, the sustainability of goal attainment and the territorial consistency of goal attainment. The information and assessment of each measure was prepared by experts with in-depth country knowledge, who triangulated evidence from government announcements and documentation, official agreements, meeting communiqués, parliamentary records, audit and research reports, external evaluations (e.g., European Commission, IMF, central banks, research institutions), statistical resources (e.g., national statistic agencies, Eurostat), and media reports.

  6. G

    Germany DE: Tariff Rate: Applied: Simple Mean: Manufactured Products

    • ceicdata.com
    Updated Sep 15, 2025
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    CEICdata.com (2025). Germany DE: Tariff Rate: Applied: Simple Mean: Manufactured Products [Dataset]. https://www.ceicdata.com/en/germany/trade-tariffs/de-tariff-rate-applied-simple-mean-manufactured-products
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    Dataset updated
    Sep 15, 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, 2010 - Dec 1, 2021
    Area covered
    Germany
    Variables measured
    Merchandise Trade
    Description

    Germany DE: Tariff Rate: Applied: Simple Mean: Manufactured Products data was reported at 1.440 % in 2022. This records a decrease from the previous number of 1.670 % for 2021. Germany DE: Tariff Rate: Applied: Simple Mean: Manufactured Products data is updated yearly, averaging 1.750 % from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 3.040 % in 2001 and a record low of 1.440 % in 2022. Germany DE: Tariff Rate: Applied: Simple Mean: Manufactured Products data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Trade Tariffs. Simple mean applied tariff is the unweighted average of effectively applied rates for all products subject to tariffs calculated for all traded goods. Data are classified using the Harmonized System of trade at the six- or eight-digit level. Tariff line data were matched to Standard International Trade Classification (SITC) revision 3 codes to define commodity groups. Effectively applied tariff rates at the six- and eight-digit product level are averaged for products in each commodity group. When the effectively applied rate is unavailable, the most favored nation rate is used instead. To the extent possible, specific rates have been converted to their ad valorem equivalent rates and have been included in the calculation of simple mean tariffs. Manufactured products are commodities classified in SITC revision 3 sections 5-8 excluding division 68.;World Bank staff estimates using the World Integrated Trade Solution system, based on data from United Nations Conference on Trade and Development's Trade Analysis and Information System (TRAINS) database.;;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).

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C4rl05/V (2025). GPD & GPD Per Capita By Country [Dataset]. https://www.kaggle.com/datasets/cv13j0/gpd-gpd-per-capita-by-country
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GPD & GPD Per Capita By Country

Belgium, France, Germany, Italy, Poland, Spain, Others

Explore at:
zip(100342 bytes)Available download formats
Dataset updated
Jan 4, 2025
Authors
C4rl05/V
Description

GDP at purchaser's prices 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 current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

GDP Per Capita is gross domestic product divided by midyear population. 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 current U.S. dollars.

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