100+ datasets found
  1. Global merchandise imports index 2019-2025, by region

    • statista.com
    Updated May 30, 2025
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    Jose Sanchez (2025). Global merchandise imports index 2019-2025, by region [Dataset]. https://www.statista.com/topics/5442/global-economic-indicators/
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In April 2025, the global merchandise imports index, excluding the U.S., stood at 205.07. This is compared to a value of 120.51 for the United States in the same period. In emerging economies, it reached an index level of nearly 339.41.The merchandise imports index is the U.S. dollar value of goods bought from the rest of the world, deflated by the U.S. Consumer Price Index (CPI).

  2. United States CA: saar: Less: Current Taxes on Income Paid

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States CA: saar: Less: Current Taxes on Income Paid [Dataset]. https://www.ceicdata.com/en/united-states/integrated-macroeconomic-accounts-total-economy-current-account/ca-saar-less-current-taxes-on-income-paid
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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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States CA: saar: Less: Current Taxes on Income Paid data was reported at 2,307.353 USD bn in Sep 2018. This records an increase from the previous number of 2,270.081 USD bn for Jun 2018. United States CA: saar: Less: Current Taxes on Income Paid data is updated quarterly, averaging 488.894 USD bn from Dec 1951 (Median) to Sep 2018, with 268 observations. The data reached an all-time high of 2,413.667 USD bn in Sep 2017 and a record low of 0.000 USD bn in Dec 1958. United States CA: saar: Less: Current Taxes on Income Paid data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.AB073: Integrated Macroeconomic Accounts: Total Economy: Current Account.

  3. f

    Table_1_Nexus Among Economic Growth, Education, Health, and Environment:...

    • figshare.com
    • frontiersin.figshare.com
    xlsx
    Updated Jun 1, 2023
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    Suleman Sarwar; Majid Ibrahim Alsaggaf; Cao Tingqiu (2023). Table_1_Nexus Among Economic Growth, Education, Health, and Environment: Dynamic Analysis of World-Level Data.XLSX [Dataset]. http://doi.org/10.3389/fpubh.2019.00307.s001
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Suleman Sarwar; Majid Ibrahim Alsaggaf; Cao Tingqiu
    License

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

    Area covered
    World
    Description

    The aim of current study is to examine the nexus among economic growth, education, health issues, and carbon emission for the panel of 161 countries. Education and health have confirmed insignificant coefficients for economic growth and carbon emission, which mention that higher education and better health conditions are not useful for boosting economic development and for controlling environmental degradation process. Empirical estimations have reported that higher capital investment leads to increase the economic process and carbon emission. Higher educational standard and capital investment helps to control the health issues, in the long- and short-run. On contrary, higher carbon emission creates health issues. The given results can provide support to the economic, social, and environmental policy makers during policy decisions. For example, the study suggests green financing and low carbon economy concept; the government and industries have to increase the investment on modern, energy efficient, and green technologies, which are useful for economic development, as well as to control the environmental degradation process.

  4. o

    Ontario Economic Accounts

    • data.ontario.ca
    • ouvert.canada.ca
    • +1more
    xlsx
    Updated Jul 10, 2025
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    Finance (2025). Ontario Economic Accounts [Dataset]. https://data.ontario.ca/dataset/ontario-economic-accounts
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    xlsx(471856), xlsx(573256)Available download formats
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Finance
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Time period covered
    Jul 10, 2025
    Area covered
    Ontario
    Description

    The Ontario Economic Accounts (OEA) is a public document, released four times a year that provides an overall assessment of the current state of the Ontario economy. OEA estimates are based on Statistics Canada data. Its primary audience includes economists in both public and private sectors and credit rating agencies.

    *[OEA]: Ontario Economic Accounts

  5. d

    Taiwan Economic Discussion - Economic Statistics - Important Economic...

    • data.gov.tw
    csv
    Updated Jul 11, 2025
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    National Development Council (2025). Taiwan Economic Discussion - Economic Statistics - Important Economic Indicators for Taiwan [Dataset]. https://data.gov.tw/en/datasets/31670
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    csvAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    National Development Council
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Taiwan
    Description

    Taiwan Economic Debates is published four times a year, with economic statistics included to select important and representative macroeconomic statistics items so that readers can have an overall understanding of Taiwan's current economic development. (Starting from the autumn issue of 107, the "Economic Statistics" section is canceled and the data will no longer be updated.)

  6. d

    Estimates of Quarterly Gross Domestic Product by Economic Activities at...

    • data.gov.qa
    • data.qa
    • +1more
    csv, excel, json
    Updated Jun 11, 2025
    + more versions
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    (2025). Estimates of Quarterly Gross Domestic Product by Economic Activities at Current Prices, Q3, 2024 [Dataset]. https://www.data.gov.qa/explore/dataset/estimates-of-quarterly-gross-domestic-product-by-economic-activities-at-current-prices-q3-2024/
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

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

    Description

    This dataset provides Q3 2024 estimates of GDP by economic activity at current prices, in million QAR. It includes comparisons with Q2 2024 and Q3 2023, showing both quarterly and annual growth trends.

  7. DCMS Sector Economic Estimates: Employment Oct 2020 - Sep 2021

    • gov.uk
    Updated Nov 22, 2024
    + more versions
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    Department for Digital, Culture, Media & Sport (2024). DCMS Sector Economic Estimates: Employment Oct 2020 - Sep 2021 [Dataset]. https://www.gov.uk/government/statistics/dcms-sector-economic-estimates-employment-oct-2020-sep-2021
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Digital, Culture, Media & Sport
    Description

    Details

    Last update: 10 February 2022 Next update: July 2022 Geographic coverage: UK

    Headline Findings

    There were, on average, 4.2 million filled jobs (12.7% of the UK total) in DCMS sectors (excluding Tourism) in the 12 month period between October 2020 and September 2021, a 1.7% increase compared to the preceding 12 months. Over the same period total UK filled jobs fell by 1.2%.

    The Creative Industries had the most jobs with 2.3 million, followed by the Digital Sector (1.8 million) and Civil Society (0.9 million). The sector with the fewest jobs was Gambling at 76 thousand.

    Revision note

    On Friday 4th November, we removed the DCMS statistics on socio-economic background and current occupation, using data from the Labour Force Survey (LFS) for the period July to September 2021.

    This is because ONS have identified an https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/theimpactofmiscodingofoccupationaldatainofficefornationalstatisticssocialsurveysuk/2022-09-26" class="govuk-link">issue with the way their underlying survey data has been assigned to the refreshed SOC2020 codes that were used to calculate these estimates in this publication. ONS expects to resolve the issue by Spring 2023.

    No other data in this release is affected. Data covering https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1043520/DCMS_sectors_Economic_Estimates_Employment_Labour_Force_Survey_July_to_September_2016_2019_and_2020.ods" class="govuk-link">July to September 2020 for socio-economic background and current occupation is unaffected by the issue.

    About this release

    These Economic Estimates are National Statistics used to provide an estimate of employment (number of filled jobs) in the DCMS Sectors, for the period October 2020 to September 2021. The findings are calculated based on the ONS Annual Population Survey (APS).

    Content

    These statistics cover the contributions of the following DCMS sectors to the UK economy;

    • Civil Society
    • Creative Industries
    • Cultural Sector
    • Digital Sector
    • Gambling
    • Sport
    • Telecoms

    A definition for each sector is available in the accompanying technical document along with details of methods and data limitations.

    The UK Statistics Authority

    This release is published in accordance with the Code of Practice for Statistics (2018) produced by the UK Statistics Authority (UKSA). The UKSA has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.

    Pre-release access

    The accompanying pre-release access document lists ministers and officials who have received privileged early access to this release. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.

    Contact

    Responsible analyst: George Ashford

    For any queries or feedback, please contact evidence@dcms.gov.uk.

  8. d

    Estimates of Quarterly Gross Domestic Product by Economic Activities at...

    • data.qa
    • data.gov.qa
    csv, excel, json
    Updated Jun 11, 2025
    + more versions
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    (2025). Estimates of Quarterly Gross Domestic Product by Economic Activities at Current Prices, Q2, 2024 [Dataset]. https://www.data.qa/explore/dataset/estimates-of-quarterly-gross-domestic-product-by-economic-activities-at-current-prices-q2-2024/api/
    Explore at:
    json, excel, csvAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

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

    Description

    This dataset provides estimates of GDP by economic activity for Q2 2024 at current prices (in million QAR). It includes comparisons with Q1 2024 and Q2 2023, showing both quarterly and annual percentage changes.

  9. T

    United States GDP

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). United States GDP [Dataset]. https://tradingeconomics.com/united-states/gdp
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 15, 2025
    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
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States was worth 29184.89 billion US dollars in 2024, according to official data from the World Bank. The GDP value of the United States represents 27.49 percent of the world economy. This dataset provides - United States GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. Industrial production growth worldwide 2019-2024, by region

    • statista.com
    Updated Sep 19, 2023
    + more versions
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    Jose Sanchez (2023). Industrial production growth worldwide 2019-2024, by region [Dataset]. https://www.statista.com/topics/6139/covid-19-impact-on-the-global-economy/
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    Dataset updated
    Sep 19, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In July 2024, global industrial production, excluding the United States, increased by 1.5 percent compared to the same time in the previous year, based on three month moving averages. This is compared to an increase of 0.2 percent in advanced economies (excluding the United States) for the same time period. The global industrial production collapsed after the outbreak of COVID-19, but increased steadily in the months after, peaking at 23 percent in June 2021. Industrial growth rate tracks the output production in the industrial sector.

  11. U

    United States CA: saar: NNI: PI: Reinvested Earnings on US Direct Invt...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CA: saar: NNI: PI: Reinvested Earnings on US Direct Invt Abroad [Dataset]. https://www.ceicdata.com/en/united-states/integrated-macroeconomic-accounts-total-economy-current-account/ca-saar-nni-pi-reinvested-earnings-on-us-direct-invt-abroad
    Explore at:
    Dataset updated
    Feb 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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States CA: saar: NNI: PI: Reinvested Earnings on US Direct Invt Abroad data was reported at -740.727 USD bn in Mar 2018. This records a decrease from the previous number of 352.446 USD bn for Dec 2017. United States CA: saar: NNI: PI: Reinvested Earnings on US Direct Invt Abroad data is updated quarterly, averaging 0.000 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 352.446 USD bn in Dec 2017 and a record low of -740.727 USD bn in Mar 2018. United States CA: saar: NNI: PI: Reinvested Earnings on US Direct Invt Abroad data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB073: Integrated Macroeconomic Accounts: Total Economy: Current Account.

  12. Gross domestic product (GDP) growth rate in China 2014-2030

    • statista.com
    Updated Apr 23, 2025
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    Statista (2025). Gross domestic product (GDP) growth rate in China 2014-2030 [Dataset]. https://www.statista.com/statistics/263616/gross-domestic-product-gdp-growth-rate-in-china/
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    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    According to preliminary figures, the growth of real gross domestic product (GDP) in China amounted to 5.0 percent in 2024. For 2025, the IMF expects a GDP growth rate of around 3.95 percent. Real GDP growth The current gross domestic product is an important indicator of the economic strength of a country. It refers to the total market value of all goods and services that are produced within a country per year. When analyzing year-on-year changes, the current GDP is adjusted for inflation, thus making it constant. Real GDP growth is regarded as a key indicator for economic growth as it incorporates constant GDP figures. As of 2024, China was among the leading countries with the largest gross domestic product worldwide, second only to the United States which had a GDP volume of almost 29.2 trillion U.S. dollars. The Chinese GDP has shown remarkable growth over the past years. Upon closer examination of the distribution of GDP across economic sectors, a gradual shift from an economy heavily based on industrial production towards an economy focused on services becomes visible, with the service industry outpacing the manufacturing sector in terms of GDP contribution. Key indicator balance of trade Another important indicator for economic assessment is the balance of trade, which measures the relationship between imports and exports of a nation. As an economy heavily reliant on manufacturing and industrial production, China has reached a trade surplus over the last decade, with a total trade balance of around 992 billion U.S. dollars in 2024.

  13. g

    World Bank - Peru - Country economic memorandum | gimi9.com

    • gimi9.com
    Updated May 7, 2025
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    (2024). World Bank - Peru - Country economic memorandum | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_741091/
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    Dataset updated
    May 7, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Peru
    Description

    This Country Economic Memorandum was prepared as the basis for an economic dialogue with the new Government of Peru that assumed power on July 28, 1985. The report first presents a brief analysis of the main economic developments of the 1970s, followed by a somewhat more detailed review of economic conditions and policies during the period of the Belaunde Government (1980-1985). After identifying the main features of Peru's current economic situation, the report examines both the main short-term economic policy measures required to ensure a vigorous economic recovery and the long-term structural changes needed to foster higher long-term economic growth. Next, social issues and priorities are discussed. Projections for 1985-90 are then presented, in order to permit an assessment to be made of possible balance of payments constraints to renewed growth and the magnitude of the future burden of interest payments on the outstanding external debt. The last chapter updates the report to the end of October, 1985.

  14. g

    Data from: Issue Competition Comparative Project (ICCP)

    • search.gesis.org
    • pollux-fid.de
    Updated Oct 1, 2019
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    De Sio, Lorenzo; Emanuele, Vincenzo; Maggini, Nicola; Paparo, Aldo; Angelucci, Davide; D´Alimonte, Roberto (2019). Issue Competition Comparative Project (ICCP) [Dataset]. http://doi.org/10.4232/1.13374
    Explore at:
    (1666383), (976083)Available download formats
    Dataset updated
    Oct 1, 2019
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    De Sio, Lorenzo; Emanuele, Vincenzo; Maggini, Nicola; Paparo, Aldo; Angelucci, Davide; D´Alimonte, Roberto
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    Feb 27, 2017 - Feb 12, 2018
    Variables measured
    doi -, token -, za_nr -, gender -, version -, voteint -, wdempol -, flag_w1w2 -, token - pid, respid_str -, and 3809 more
    Description

    The Issue Competition Comparative Project (ICCP) is a comparative research project about party competition. The aim is to analyze party competition through an issue competition perspective, i.e. by conceptualizing political parties and leaders as rational, vote-maximizing political entrepreneurs that strategically exploit available issue opportunities in a context where voters are available across ideological boundaries. The first ICCP data collection round has covered six West European countries (Netherlands, France, United Kingdom, Germany, Austria, Italy) that held general elections in 2017 and 2018. The electoral campaign of political parties and party leaders was studied by monitoring, collecting, and analysing their activity on Twitter in the four month preceding the election date. For each party in the 6 ICCP countries, the monitoring activity was carried out on the public profile of the party and on the public profile of the main frontrunners/leaders of the party.

    1. Survey Dataset Topics: interest in politics; vote intention; rating of current economic situation; expected economic situation in 12 months; propensity to vote different political parties; party identification; strength of party identification; party closeness to different parties; party that is credible for achieving different policy goals; respondent assigns a high, average or low priority to the policy goal; position to positional issues (self-placement on a 1-6 scale, with values 1-3 corresponding to one goal, and values 4-6 corresponding to the rival goal); shared policy goals (valence issues); left-right self-placement; approvement or disapprovement of the government’s record to date; candidate traits (knowledgeable about politics, strong, honest, and careful) were applicable.

    Demography: sex; age (year of birth, age class); church attendance; education; city size; profession; sector; self-assessment of social class; living standard.

    Additionally coded: respondent ID, weigthing factor.

    1. Twitter Dataset

    Topics: study (country and year); abbreviation of party; Issue ID (within country); issue type (Positional or Valence); dimension (cultural or economic); Issue (short description); rival goal (on the issue) assigned to classical left-wing orientation; rival goal (on the issue) assigned to classical right-wing orientation; right-wing positional goal; systematic issue salience; absolute count of tweets the party dedicated to the issue; total number of issue-related party tweets; total number of party tweets dedicated to positional issues; total number of party tweets dedicated to valence issues; proportion of party tweets the party dedicated to the issue, over the total of issue-related tweets; orientation (left/right) of the goal with a higher issue yield for the party; party size in survey sample; whole sample and within party: goal support for positional issues; whole sample and within party: party credibility on goal; (credibility weighted) Issue Yield for goal; Issue Yield cross-party ranking.

  15. G

    Germany Current Economic Situation Indicator: Germany: Normal

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Germany Current Economic Situation Indicator: Germany: Normal [Dataset]. https://www.ceicdata.com/en/germany/indicator-of-economic-sentiment-zew/current-economic-situation-indicator-germany-normal
    Explore at:
    Dataset updated
    Feb 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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Germany
    Variables measured
    Economic Sentiment Survey
    Description

    Current Economic Situation Indicator: Germany: Normal data was reported at 17.600 % in Apr 2025. This records an increase from the previous number of 12.400 % for Mar 2025. Current Economic Situation Indicator: Germany: Normal data is updated monthly, averaging 41.100 % from Dec 1991 (Median) to Apr 2025, with 401 observations. The data reached an all-time high of 89.600 % in Sep 1995 and a record low of 1.500 % in Nov 1993. Current Economic Situation Indicator: Germany: Normal data remains active status in CEIC and is reported by Leibniz Centre for European Economic Research. The data is categorized under Global Database’s Germany – Table DE.S001: Indicator of Economic Sentiment: ZEW.

  16. Mar 2015 Current Population Survey: Annual Social and Economic (March)...

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Jul 19, 2023
    + more versions
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    U.S. Census Bureau (2023). Mar 2015 Current Population Survey: Annual Social and Economic (March) Supplement [Dataset]. https://catalog.data.gov/dataset/mar-2015-current-population-survey-annual-social-and-economic-march-supplement
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Annual Social and Economic Supplement or March CPS supplement is the primary source of detailed information on income and work experience in the United States. Numerous publications based on this survey are issued each year by the Bureaus of Labor Statistics and Census. A public-use microdata file is available for private researchers, who also produce many academic and policy-related documents based on these data. The Annual Social and Economic Supplement is used to generate the annual Population Profile of the United States, reports on geographical mobility and educational attainment, and detailed analysis of money income and poverty status. The labor force and work experience data from this survey are used to profile the U.S. labor market and to make employment projections. To allow for the same type of in-depth analysis of hispanics, additional hispanic sample units are added to the basic CPS sample in March each year. Additional weighting is also performed so that estimates can be made for households and families, in addition to persons.

  17. g

    Wirtschaftsstandort Deutschland 1998

    • search.gesis.org
    Updated Apr 13, 2010
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    IPOS, Institut für praxisorientierte Sozialforschung, Mannheim; Bundesverband deutscher Banken, Gesellschaft für Bankpublizität, Köln (2010). Wirtschaftsstandort Deutschland 1998 [Dataset]. http://doi.org/10.4232/1.3029
    Explore at:
    application/x-spss-por(622704), application/x-spss-sav(374898), application/x-stata-dta(356934)Available download formats
    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    IPOS, Institut für praxisorientierte Sozialforschung, Mannheim; Bundesverband deutscher Banken, Gesellschaft für Bankpublizität, Köln
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Area covered
    Germany
    Variables measured
    v1 -, v2 -, v3 -, v4 -, v5 -, v6 -, v7 -, v8 -, v9 -, v10 -, and 131 more
    Description

    Judgement on the economic situation of the country and expected development of the economic situation. Attitude to market economy questions. Attitude to the common European currency. Topics: most important problems in Germany; intent to participate in the election; party preference (Sunday question); behavior at the polls in the last Federal Parliament election; judgement on current economic situation in Eastern Germany or Western Germany; expected personal economic situation, currently and for the future; judgement on the economic situation in Germany; judgement on the economic situation in the country in comparison to Western European neighbors; judgement on the socially-oriented market economy in Germany; expected development of the standard of living for the future; wage costs, environment regulations or sales markets as major reason for production by German companies abroad; judgement on the level of business profits and business taxes in Germany; judgement on the sales tax increase; most important countries as competetors of German business; judgement on the quality of industry products from Germany, France, Great Britain, Italy, Japan, Korea, Poland, Czech Republic, USA and from the People´s Republic of China; comparison of technical progress in Germany, Japan and USA; judgement on the speed of technical progress and governmental hinderance of progress; assessment of the readiness of Germans for innovation; trade unions, businesses, Federal Government, Bundesbank, German unity or world economic situation as major reason for current economic problems; preference for wage contracts at association level or company level; orientation of wage increases on the rate of inflation; creation of jobs as task of government or companies; most important reasons for unemployment in Germany; judgement on the extent of governmental intervention in business; judgement on the extent of current social services; problems of reunification solved; preference for economic growth or environmental protection; judgement on the situation in the universities: too many students, study times too long, too little money for universities, too low support of the highly gifted, preference for introduction of tuition fees, too little effort by college instructors and students; attitude to a leading role by the Federal Republic of Germany in European foreign and security policy as well as in European economy and financial policy; advantageousness of membership of the country in the EU; necessity of political unification of Europe to preserve prosperity; too much influence of the EU on national decisions; attitude to the new common currency, Euro; advantages or disadvantages of introduction of the Euro for the German economy, for the respondent personally, for Germany in the short-term as well as in the long view; expected change of political influence by Germany on Europe through introduction of the Euro; expected changes in unemployment and cost of living in Germany; assessment of the stability of monetary value after introduction of the Euro; expected introduction of the Euro and expected observance of the time plans for introduction; desire to stick to the Maastricht criteria as condition for participation in the common currency; advantages or disadvantages as result of postponing introduction of the Euro; significance of the Euro for the respondent; necessity of a common currency for progress of European unification; preferred countries for immediate participation in the European currency; protection of the European market through duties or preference for open competition; self-assessment of extent to which informed about the Euro; counseling services personally received about the effects of the Euro and statement of counseling institution; assessment of the counseling service of banks and savings banks in view of the topic Euro; assessment of the security of the Eurocheque card; possession of a Eurocheque card. Demography: state in which the respondent is eligible to vote; city size; age in classes; school education; occupational training; extent of employment; personal jeopardy to job; occupational group; size of household; persons in household 18 years old and older; union member in the household; close persons who are unemployed or whose job is endangered; sex.

  18. F

    Federal Debt: Total Public Debt

    • fred.stlouisfed.org
    json
    Updated Jun 3, 2025
    + more versions
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    (2025). Federal Debt: Total Public Debt [Dataset]. https://fred.stlouisfed.org/series/GFDEBTN
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    jsonAvailable download formats
    Dataset updated
    Jun 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Federal Debt: Total Public Debt (GFDEBTN) from Q1 1966 to Q1 2025 about public, debt, federal, government, and USA.

  19. CBS News Polls, 1977-1979

    • icpsr.umich.edu
    ascii
    Updated Jan 18, 2006
    + more versions
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    CBS News (2006). CBS News Polls, 1977-1979 [Dataset]. http://doi.org/10.3886/ICPSR07817.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 18, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    CBS News
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/7817/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7817/terms

    Time period covered
    1977 - 1979
    Area covered
    United States
    Description

    This study is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Each data file in this collection represents a distinct nationwide survey that was conducted during 1977-1979. Approximately 1,000-1,500 randomly selected adults were surveyed by telephone in each poll. Respondents were asked to give their opinions of President Jimmy Carter and his handling of the presidency, foreign policy, and the economy, as well as their views on a range of current social and economic issues. The January 1977 Inauguration Poll (Part 1) asked respondents whether they believed newly inaugurated President Carter would be able to balance the federal budget, contain inflation, reduce unemployment, cut defense spending, restore trust in government, work effectively with Congress, and bring peace to the Middle East. Opinions were also elicited on other current issues, including capital punishment, amnesty for Vietnam draft evaders, building closer ties with China, and United States support for Black majority rule in South Africa. Part 2, June 1978 Education Poll, covered topics concerning the quality of public school education, school busing and racial integration of schools, the effects of single parents, working mothers, and television viewing on a child's education, standardized tests, classroom discipline, and homework. In Part 3, September 1978 Poll on Mid-East Summit Meeting, respondents were asked for their assessment of the chances for peace in the Middle East, their knowledge of the results of the Camp David summit with Egypt, Israel, and the United States, whether Egyptian President Anwar Sadat, Israeli Prime Minister Menachem Begin, or President Carter was most responsible for the agreements, and whether President Carter met their expectations with what he accomplished at the summit. Part 4, December 1978 Poll on China, focused on United States relations with China, the impact closer ties with China may have on relations between the United States and Taiwan, prospects for peace in the Middle East, and United States negotiations with the Soviet Union to cut back on military weapons. In the October 1979 Poll on Current Issues (Part 5) respondents were asked to identify what they believed to be the most important problems facing the country, and whether problems associated with rising prices and energy shortages had affected their lives directly. Background information on respondents includes voter participation history, political party affiliation, political orientation, age, race, religion, education, employment and household income.

  20. New York Times New York City Poll, June 2003

    • icpsr.umich.edu
    ascii, delimited, sas +2
    Updated Apr 29, 2009
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    The New York Times (2009). New York Times New York City Poll, June 2003 [Dataset]. http://doi.org/10.3886/ICPSR03827.v3
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    stata, sas, ascii, delimited, spssAvailable download formats
    Dataset updated
    Apr 29, 2009
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    The New York Times
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/3827/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/3827/terms

    Time period covered
    Jun 2003
    Area covered
    New York, New York (state), United States
    Description

    This special topic poll, conducted June 6-10, 2003, was undertaken in order to assess respondents' opinions of the long-range view for New York City, the city's economic and financial status, and social issues affecting the city. Respondents were asked to give their opinions on New York City Mayor Michael Bloomberg, his overall job performance, his handling of the city budget and economy, whether he payed too much attention to Manhattan at the expense of the other boroughs, whether the Bloomberg administration had made significant progress balancing the budget, the effect Mayor Bloomberg had on the economy, and how much of the blame for the poor economy should be attributed to Mayor Bloomberg. Respondents were asked how knowledgeable they were of Mayor Bloomberg's budget plans, whether they approved of George Pataki's performance as governor and his handling of New York City's budget problems, whether they approved of Joseph Bruno's performance as State Senate Majority Leader and the New York State legislature's handling of New York City's budget problems, how much of the poor economy should be attributed to Governor Pataki, how much of the responsibility should be attributed to former mayor Rudolph Giuliani, and how much of the responsibility should be attributed to the September 11, 2001, terrorist attacks. Views were sought on whether respondents planned to live in the same place, a different place within New York City, or outside of New York City in four years, whether within the last year New York City had improved, worsened, or stayed the same, the overall condition of New York City, whether the city's economy was improving, worsening, or not changing, whether compared to one year ago, the city's economy was better, worse, or the same, whether respondents worried that within the next 12 months they or a family member would lose their jobs, the severity of the current economic situation, and whether the city's economic situation affected day-to-day life, and if so, what its greatest effect was given the city's economic situation. Respondents were asked whether the best course of action would be to raise taxes, reduce services, or borrow money. If respondents thought raising taxes was the best solution, they were queried on which taxes should be raised and if they thought reducing services was the best solution, they were queried on what services should be reduced or cut. Information was gathered on whether city service reductions or city employee layoffs would affect the respondents' families, whether certain cuts in services would be bad for the city, which city services should not be cut or reduced, which one city service should not experience cuts or reductions, if at all possible, whether income tax increases for individuals and couples making $100,000 and $150,000, respectively, were reasonable, whether raising the sales tax to 8.5 percent was reasonable, and whether increasing property taxes by 18.5 percent was reasonable. Opinions were gathered on whether city employees were doing enough to help the city, whether city employees should pay a greater percentage of their health insurance, whether the city work week should increase from 35-37 hours to 40 hours, whether there should be decreases in vacation and holiday time for city employees, whether future pension benefits for city employees should be reduced, and whether placing video-slot machines in off-track betting parlors would be beneficial or harmful. Further questions addressed an increase of homeless individuals in the last few months, the ban on smoking in bars and restaurants, an increase of bus and subway fares to $2 and whether the increase had an effect on respondents, respondents' knowledge of Mayor Bloomberg's non-partisan election proposal, whether New York City should have non-partisan elections, the name of the respondent's staterepresentative, and the name of the respondent's state senator. Background variables include age, sex, education, ethnicity, length of residence in New York City, condition of respondent's finances, smoking status, employment status, union status, whether the respondent was a city employee, residential status (renter or homeowner), voting status, whether the respondent was the parent or guardian of a child under 18 living in the same residence, whether children under 18 were enrolled in public, private, or parochial

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Jose Sanchez (2025). Global merchandise imports index 2019-2025, by region [Dataset]. https://www.statista.com/topics/5442/global-economic-indicators/
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Global merchandise imports index 2019-2025, by region

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 30, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Jose Sanchez
Description

In April 2025, the global merchandise imports index, excluding the U.S., stood at 205.07. This is compared to a value of 120.51 for the United States in the same period. In emerging economies, it reached an index level of nearly 339.41.The merchandise imports index is the U.S. dollar value of goods bought from the rest of the world, deflated by the U.S. Consumer Price Index (CPI).

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