6 datasets found
  1. Financing the State: Government Tax Revenue from 1800 to 2012, 31 countries

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Apr 21, 2022
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    Andersson, Per F.; Brambor, Thomas (2022). Financing the State: Government Tax Revenue from 1800 to 2012, 31 countries [Dataset]. http://doi.org/10.3886/ICPSR38308.v1
    Explore at:
    ascii, r, delimited, spss, stata, sasAvailable download formats
    Dataset updated
    Apr 21, 2022
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Andersson, Per F.; Brambor, Thomas
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38308/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38308/terms

    Time period covered
    1800 - 2012
    Area covered
    Venezuela, Belgium, Norway, Spain, Austria, Japan, New Zealand, United Kingdom, Bolivia, Colombia
    Description

    This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally the researchers chose to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, researchers combined some subcategories. First, they were interested in total tax revenue, as well as the shares of total revenue coming from direct and indirect taxes. Further, they measured two sub-categories of direct taxation, namely taxes on property and income. For indirect taxes, they separated excises, consumption, and customs.

  2. M

    Mexico MX: Net Bilateral Aid Flows from Development Assistance Committee...

    • ceicdata.com
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    CEICdata.com, Mexico MX: Net Bilateral Aid Flows from Development Assistance Committee Donors: European Commission [Dataset]. https://www.ceicdata.com/en/mexico/defense-and-official-development-assistance/mx-net-bilateral-aid-flows-from-development-assistance-committee-donors-european-commission
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    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, 2006 - Dec 1, 2017
    Area covered
    Mexico
    Variables measured
    Operating Statement
    Description

    Mexico MX: Net Bilateral Aid Flows from Development Assistance Committee Donors: European Commission data was reported at 13.730 USD mn in 2017. This records a decrease from the previous number of 121.240 USD mn for 2016. Mexico MX: Net Bilateral Aid Flows from Development Assistance Committee Donors: European Commission data is updated yearly, averaging 7.440 USD mn from Dec 1970 (Median) to 2017, with 38 observations. The data reached an all-time high of 121.240 USD mn in 2016 and a record low of -96.630 USD mn in 2013. Mexico MX: Net Bilateral Aid Flows from Development Assistance Committee Donors: European Commission data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Defense and Official Development Assistance. Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Japan, Republic of Korea, Luxembourg, Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.; ; Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.; Sum;

  3. k

    Real GDP Growth Projections

    • datasource.kapsarc.org
    Updated Sep 17, 2024
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    (2024). Real GDP Growth Projections [Dataset]. https://datasource.kapsarc.org/explore/dataset/real-gdp-growth-projections/
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    Dataset updated
    Sep 17, 2024
    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.

  4. House Price Data World-Wide

    • kaggle.com
    Updated Dec 20, 2024
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    Prathamesh Jakkula (2024). House Price Data World-Wide [Dataset]. https://www.kaggle.com/datasets/prathameshjakkula/house-price-data-world-wide/versions/1
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 20, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Prathamesh Jakkula
    Description

    This dataset contains 500 entries of housing price data from various countries, regions, and cities worldwide, making it ideal for machine learning models and real estate market analysis. The dataset covers diverse geographic locations, including:

    North America: USA, Canada, Mexico
    Europe: Germany, France, UK, Italy, Spain
    Asia: Japan, China, India, South Korea
    Other Regions: Australia, Brazil, South Africa
    

    Columns Included:

    Country: The country where the house is located (e.g., USA, Japan, India).
    State/Region: The state or region within the country (e.g., California, Bavaria).
    City: The city where the property is located (e.g., Los Angeles, Tokyo).
    Square Footage (SqFt): The size of the house in square feet (ranging from 500 to 5000 sq ft).
    Bedrooms: The number of bedrooms in the house (ranging from 1 to 6).
    Population Density: The population density of the area (people per sq km).
    Price of House: The price of the house (in local currency, converted to USD where applicable).
    

    This dataset can be used for:

    Machine Learning Models: Training and evaluating models for house price prediction.
    Market Analysis: Analyzing housing trends across different regions and countries.
    Visualization: Creating insightful visualizations to understand price distributions and regional variations.
    

    This dataset provides a balanced mix of geographic diversity and housing features for robust predictive modeling and analysis.

  5. M

    Mexico MX: Net Bilateral Aid Flows from Development Assistance Committee...

    • ceicdata.com
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    CEICdata.com, Mexico MX: Net Bilateral Aid Flows from Development Assistance Committee Donors: Canada [Dataset]. https://www.ceicdata.com/en/mexico/defense-and-official-development-assistance/mx-net-bilateral-aid-flows-from-development-assistance-committee-donors-canada
    Explore at:
    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, 2006 - Dec 1, 2017
    Area covered
    Mexico
    Variables measured
    Operating Statement
    Description

    Mexico MX: Net Bilateral Aid Flows from Development Assistance Committee Donors: Canada data was reported at 3.920 USD mn in 2017. This records an increase from the previous number of 3.210 USD mn for 2016. Mexico MX: Net Bilateral Aid Flows from Development Assistance Committee Donors: Canada data is updated yearly, averaging 2.465 USD mn from Dec 1962 (Median) to 2017, with 46 observations. The data reached an all-time high of 23.860 USD mn in 1964 and a record low of -1.390 USD mn in 1967. Mexico MX: Net Bilateral Aid Flows from Development Assistance Committee Donors: Canada data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Defense and Official Development Assistance. Net bilateral aid flows from DAC donors are the net disbursements of official development assistance (ODA) or official aid from the members of the Development Assistance Committee (DAC). Net disbursements are gross disbursements of grants and loans minus repayments of principal on earlier loans. ODA consists of loans made on concessional terms (with a grant element of at least 25 percent, calculated at a rate of discount of 10 percent) and grants made to promote economic development and welfare in countries and territories in the DAC list of ODA recipients. Official aid refers to aid flows from official donors to countries and territories in part II of the DAC list of recipients: more advanced countries of Central and Eastern Europe, the countries of the former Soviet Union, and certain advanced developing countries and territories. Official aid is provided under terms and conditions similar to those for ODA. Part II of the DAC List was abolished in 2005. The collection of data on official aid and other resource flows to Part II countries ended with 2004 data. DAC members are Australia, Austria, Belgium, Canada, Czech Republic, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Japan, Republic of Korea, Luxembourg, Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, United Kingdom, United States, and European Union Institutions. Regional aggregates include data for economies not specified elsewhere. World and income group totals include aid not allocated by country or region. Data are in current U.S. dollars.; ; Development Assistance Committee of the Organisation for Economic Co-operation and Development, Geographical Distribution of Financial Flows to Developing Countries, Development Co-operation Report, and International Development Statistics database. Data are available online at: www.oecd.org/dac/stats/idsonline.; Sum;

  6. e

    Northern Ireland European Values Survey, 1999 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 28, 2023
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    (2023). Northern Ireland European Values Survey, 1999 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/77546516-e33a-5f2b-9c25-a8297e6fba24
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    Dataset updated
    Oct 28, 2023
    Area covered
    Northern Ireland, Ireland
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The European Values Study (EVS) and World Values Survey (WVS) series is designed to enable a cross-national, cross-cultural comparison of values and norms on a wide variety of topics and to monitor changes in values and attitudes across the globe. The WVS is one of the world's most extensive and most widely used social surveys. Since 1981, it has captured the views of almost 400,000 respondents in over 110 countries, covering topics including cultural identity, migration, trust, empathy, tolerance, media consumption, political interest, the environment and more.These surveys show pervasive changes in what people want out of life and what they believe. To monitor these changes, the EVS/WVS has executed seven waves of surveys to date at various times between 1981 and 2022. Representative national samples of each society's public are interviewed using a standardised questionnaire covering various social, economic, cultural and religious topics. The countries included in these surveys cover the full range from very poor countries to very rich ones, from authoritarian systems to liberal democracies, covering all major cultural zones. Further information about each survey series can be found on the EVS and WVS websites. Background to the European Values Studies The European Values Study (EVS) is a large-scale, cross-national and longitudinal survey of moral, religious, political and social values. The project was designed to investigate the nature and inter-relationship of value systems, their degree of homogeneity, and the extent to which they are subject to change across time. To date there have been 3 waves, the first carried out in 1981, the second in 1990 and the third in 1999/2000. The 1981 survey was carried out in ten member states of the European Community. After the initial fieldwork the survey was carried out in a further 16 countires (Argentina, Australia, Chile, Canada, Finland, Hungary, Iceland, Japan, Malta, Mexico, Norway, South Africa, South Korea, Sweden, United States and parts of the Soviet Union). The 1990 survey was carried out in all European countries as well as the United States and Canada.The third EVS was carried out in Europe. Further information can be found on the EVS web pages Northern Ireland European Values Survey, 1999 The aim of this study was the inclusion of Northern Ireland as a fully participant member of the 1999 European Values Study (EVS). The survey was carried out by means of face-to-face interviews with a sample of 1000 randomly-selected adults, representative of the adult population of Northern Ireland. The study was based on an adapted version of the 1999 wave of the EVS, which has now been completed in most countries of western and eastern Europe, including the Republic of Ireland. As in previous EVS studies, the core questions focus on values and attitudes in areas such as religion, ethics, politics, work motivation, family and life-style. In addition to these core elements, however, the Northern Ireland survey also included and additional range of items on aspects of culture and identity peculiar to the island of Ireland. For example, respondents in this survey and the Republic of Ireland EVS wave (not currently held at the UK Data Archive) were questioned about their views on various aspects of the Good Friday Agreement and about their attitudes to national identity. Special care was taken to ensure that these additional questions were relevant within and across the two societies. These data are also included in European and World Values Survey Four-wave Integrated Data File, 1981-2004, which is available for online analysis and download. Please see SN: 5488 for details.

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Andersson, Per F.; Brambor, Thomas (2022). Financing the State: Government Tax Revenue from 1800 to 2012, 31 countries [Dataset]. http://doi.org/10.3886/ICPSR38308.v1
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Financing the State: Government Tax Revenue from 1800 to 2012, 31 countries

Explore at:
ascii, r, delimited, spss, stata, sasAvailable download formats
Dataset updated
Apr 21, 2022
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Andersson, Per F.; Brambor, Thomas
License

https://www.icpsr.umich.edu/web/ICPSR/studies/38308/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38308/terms

Time period covered
1800 - 2012
Area covered
Venezuela, Belgium, Norway, Spain, Austria, Japan, New Zealand, United Kingdom, Bolivia, Colombia
Description

This dataset presents information on historical central government revenues for 31 countries in Europe and the Americas for the period from 1800 (or independence) to 2012. The countries included are: Argentina, Australia, Austria, Belgium, Bolivia, Brazil, Canada, Chile, Colombia, Denmark, Ecuador, Finland, France, Germany (West Germany between 1949 and 1990), Ireland, Italy, Japan, Mexico, New Zealand, Norway, Paraguay, Peru, Portugal, Spain, Sweden, Switzerland, the Netherlands, the United Kingdom, the United States, Uruguay, and Venezuela. In other words, the dataset includes all South American, North American, and Western European countries with a population of more than one million, plus Australia, New Zealand, Japan, and Mexico. The dataset contains information on the public finances of central governments. To make such information comparable cross-nationally the researchers chose to normalize nominal revenue figures in two ways: (i) as a share of the total budget, and (ii) as a share of total gross domestic product. The total tax revenue of the central state is disaggregated guided by the Government Finance Statistics Manual 2001 of the International Monetary Fund (IMF) which provides a classification of types of revenue, and describes in detail the contents of each classification category. Given the paucity of detailed historical data and the needs of our project, researchers combined some subcategories. First, they were interested in total tax revenue, as well as the shares of total revenue coming from direct and indirect taxes. Further, they measured two sub-categories of direct taxation, namely taxes on property and income. For indirect taxes, they separated excises, consumption, and customs.

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