Graph and download economic data for Real gross domestic product per capita (A939RX0Q048SBEA) from Q1 1947 to Q2 2025 about per capita, real, GDP, and USA.

Context

GDP or Gross Domestic Product, as defined by the International Monetary Fund, "measures the monetary value of final goods and services—that is, those that are bought by the final user—produced in a country in a given period of time". GDP per capita shows a country's GDP divided by its total population. It is theoretically the amount of money that each individual earns in that particular country.

GDP per capita is a very handy data to have access to in complement to other datasets, especially when working with prices, salaries, etc. As there was no such updated dataset on kaggle, I uploaded this dataset which is updated up until 2021, with predictions going up to 2026, so that other kagglers can have easy access to it when needed. This data was extracted from the International Monetary Fund official website.

Content

This dataset contains the GDP per capita of 229 countries, from 1980 to 2021, with predictions up until 2026. It is organized as follows: each year is represented by a column, and each country by a row.

Acknowledgements

This data set was extracted from the following website: https://www.imf.org/external/datamapper/NGDPDPC@WEO/OEMDC/ADVEC/WEOWORLD .

This dataset provides statistics on real gross domestic product (GDP) and real GDP per capita for subnational regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.

Data source and definition

Regional gross domestic product data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.

To allow comparability over time and between countries, data at current prices are transformed into constant prices and purchasing power parity measures. Regional GDP per capita is calculated by dividing regional GDP by the average annual population of the region.

See method and detailed data sources in Regions and Cities at a Glance 2024, Annex.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Use of economic data on small regions

When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:(xlsx).

Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

• The interactive web-tool OECD Regions and Cities Statistical Atlas
• The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org

I created this dataset for beginners such as myself to get GDP per capita into playground competition more easily.

Here is a code on how to implement it.

dataset = pd.read_csv('../train.csv')
gdp = pd.read_csv('../GDP_Playground.csv')

def get_gdp(dataset):
    # Rename the columns in GDP df 
    gdp.columns = ['Argentina', 'Canada', 'Estonia', 'Spain', 'Japan']

    # Create a dictionary
    GDP_dictionary = gdp.unstack().to_dict()
    
    # Create GDP column
    dataset['GDP']=dataset.set_index(['country', 'year']).index.map(GDP_dictionary.get)
    
    # Split GDP by country (for linear model)
    dataset['GDP_Argentina']=dataset['GDP'] * (dataset['country']=='Argentina')
    dataset['GDP_Canada']=dataset['GDP'] * (dataset['country']=='Canada')
    dataset['GDP_Estonia']=dataset['GDP'] * (dataset['country']=='Estonia')
    dataset['GDP_Spain']=dataset['GDP'] * (dataset['country']=='Spain')
    dataset['GDP_Japan']=dataset['GDP'] * (dataset['country']=='Japan')
    
    # Drop column
    dataset=dataset.drop(['GDP','year'],axis=1)
    
    return dataset

Source of this function can be found in the older playground series from January 2022 Link is here: Click here

Greece GR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at -8.350 % in 2015. Greece GR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging -8.350 % from Dec 2015 (Median) to 2015, with 1 observations. Greece GR: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greece – Table GR.World Bank.WDI: Poverty. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

Time series data for the statistic Real_GDP_Per_Capita_Constant_2015_USD and country Brazil. Indicator Definition: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 constant 2015 U.S. dollars.The statistic "Real GDP Per Capita Constant 2015 USD" stands at 9,564.58 United States Dollars as of 12/31/2024, the highest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 2.98 percent compared to the value the year prior.The 1 year change in percent is 2.98.The 3 year change in percent is 8.70.The 5 year change in percent is 9.04.The 10 year change in percent is 2.42.The Serie's long term average value is 6,367.14 United States Dollars. It's latest available value, on 12/31/2024, is 50.22 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1960, to it's latest available value, on 12/31/2024, is +267.37%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

Purchasing power parities (PPPs) are indicators of price level differences across countries. PPPs tell us how many currency units a given quantity of goods and services costs in different countries. PPPs can thus be used as currency conversion rates to convert expenditures expressed in national currencies into an artificial common currency (the Purchasing Power Standard, PPS), eliminating the effect of price level differences across countries.

The main use of PPPs is to convert national accounts aggregates, like the Gross Domestic Product (GDP) of different countries, into comparable volume aggregates. Applying nominal exchange rates in this process would overestimate the GDP of countries with high price levels relative to countries with low price levels. The use of PPPs ensures that the GDP of all countries is valued at a uniform price level and thus reflects only differences in the actual volume of the economy.

PPPs are also applied in analyses of relative price levels across countries. For this purpose, the PPPs are divided by the current nominal exchange rate to obtain a price level index (PLI) which expresses the price level of a given country relative to another, or relative to a group of countries like the EU Member States.

The production of PPPs is a multilateral exercise involving the National Statistical Institutes of the participating countries, Eurostat and the OECD.

Indicators in Eurostat's dissemination database

The indicators published in the price domain on Eurostat's website are the following:

• Purchasing power parities (PPPs) scaled to the sum of expenditures of the EU Member States expressed in euro. This means that the PPP of one particular country indicates how many units of national currency one would need in that country in order to maintain the purchasing power of one euro in the EU
• Price level indices (PLIs) as defined above
• Nominal expenditure in national currency, as extracted from each country's national accounts
• Nominal expenditure as percentage of GDP
• Nominal expenditure in euro
• Nominal expenditure per inhabitant in euro
• Real expenditure, defined as nominal expenditure divided by the PPP
• Real expenditure per inhabitant
• Volume indices of real expenditure per inhabitant
• The convergence indicators, defined as the coefficient of variation of the price level indices (PLIs) and per capita volume indices (VIs) of gross domestic product (GDP), actual individual consumption (AIC) and household final consumption expenditure (HFCE). It measures the price and volume convergence across countries.

In addition, PPPs and real expenditures are available from the national accounts domain of the database. For further details, cf. 17.1.

Data from 1st of June 2022. For most recent GDP data, consult dataset nama_10_gdp. Gross domestic product (GDP) is a measure for the economic activity. It is defined as the value of all goods and services produced less the value of any goods or services used in their creation. The volume index of GDP per capita in Purchasing Power Standards (PPS) is expressed in relation to the European Union average set to equal 100. If the index of a country is higher than 100, this country's level of GDP per head is higher than the EU average and vice versa. Basic figures are expressed in PPS, i.e. a common currency that eliminates the differences in price levels between countries allowing meaningful volume comparisons of GDP between countries. Please note that the index, calculated from PPS figures and expressed with respect to EU27_2020 = 100, is intended for cross-country comparisons rather than for temporal comparisons."

Context

This data set contains global economic income indicators per country. The data has been prepared for ease of use.

The data is divided into: Male, female, dimestic credit, gross domestic product, gross national income, fixed capital formation, labour share. The individual files are briefly described below:

Income index:

Dimension: Income/composition of resources Definition: GNI per capita (2011 PPP International $, using natural logarithm) expressed as an index using a minimum value of $100 and a maximum value $75,000.

Domestic credit provided by financial sector (% of GDP)

Dimension: Income/composition of resources Definition: Credit to various sectors on a gross basis (except credit to the central government, which is net), expressed as a percentage of GDP.

Estimated gross national income per capita, female (2011 PPP $)

Full and productive employment and decent work for all women and men,including for young people and persons with disabilities, and equal pay for work of equal value Dimension: Income/composition of resources Definition: Derived from the ratio of female to male wages, female and male shares of economically active population and gross national income (in 2011 purchasing power parity terms).

Estimated gross national income per capita, male (2011 PPP $)

Full and productive employment and decent work for all women and men,including for young people and persons with disabilities, and equal pay for work of equal value Dimension: Income/composition of resources Definition: Derived from the ratio of female to male wages, female and male shares of economically active population and gross national income (in 2011 purchasing power parity terms).

GDP per capita (2011 PPP $)

Dimension: Income/composition of resources Definition: GDP in a particular period divided by the total population in the same period.

Gross domestic product (GDP), total (2011 PPP $ billions)

Dimension: Income/composition of resources Definition: 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, expressed in 2011 international dollars using purchasing power parity (PPP) rates.

Gross fixed capital formation (% of GDP)

Dimension: Income/composition of resources Definition: Value of acquisitions of new or existing fixed assets by the business sector, governments and households (excluding their unincorporated enterprises) less disposals of fixed assets, expressed as a percentage of GDP. No adjustment is made for depreciation of fixed assets.

Gross national income (GNI) per capita (2011 PPP $)

Full and productive employment and decent work for all women and men,including for young people and persons with disabilities, and equal pay for work of equal value Dimension: Income/composition of resources Definition: Aggregate income of an economy generated by its production and its ownership of factors of production, less the incomes paid for the use of factors of production owned by the rest of the world, converted to international dollars using PPP rates, divided by midyear population.

Labour share of GDP, comprising wages and social protection transfers (%)

Adopt policies, especially fiscal, wage and social protection policies, and progressively achieve greater equality Dimension: Income/composition of resources Definition: Total compensation of employees given as a percent of GDP, which is a measure of total output. Total compensation refers to the total remuneration, in cash or in kind, payable by an enterprise to an employee in return for work done by the latter during the accounting period.

Additional Information

For more information see : http://hdr.undp.org/sites/default/files/hdr2019_technical_notes.pdf

The title picture is from https://searchengineland.com/international-ppc-deal-currency-fluctuations-245601

United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 1.310 % in 2016. United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 1.310 % from Dec 2016 (Median) to 2016, with 1 observations. United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

The 'Canada Per Capita Income' dataset offers a comprehensive collection of data showcasing the average income per person in Canada across numerous years. Its primary objective is to furnish valuable insights into the economic well-being and financial advancement of the Canadian populace. It serves as an invaluable resource for economists, researchers, policymakers, and analysts, facilitating the examination of income distribution trends, evaluation of the effects of economic policies, and the identification of wealth disparities.

The dataset draws its information from dependable and authoritative sources, primarily the official statistical agencies of the Canadian government, notably Statistics Canada. These agencies routinely gather and disseminate data on various economic indicators, including per capita income, through a variety of means such as surveys, censuses, and economic reports.

The motivation behind the creation of this dataset stems from the critical importance of per capita income as a fundamental metric for assessing a nation's standard of living and economic progress. By presenting historical data, this dataset empowers users to monitor Canada's economic journey, discern patterns of growth or decline, and delve into the factors influencing shifts in individual income levels. A thorough understanding of this dataset is crucial in shaping evidence-based policies that promote fair economic opportunities and overall prosperity for all members of the Canadian population.

Time series data for the statistic Real_GDP_Per_Capita_Constant_2015_USD and country Dominican Republic. Indicator Definition: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 constant 2015 U.S. dollars.The statistic "Real GDP Per Capita Constant 2015 USD" stands at 9,168.29 United States Dollars as of 12/31/2024, the highest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 4.07 percent compared to the value the year prior.The 1 year change in percent is 4.07.The 3 year change in percent is 9.87.The 5 year change in percent is 12.95.The 10 year change in percent is 42.58.The Serie's long term average value is 3,916.12 United States Dollars. It's latest available value, on 12/31/2024, is 134.12 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1961, to it's latest available value, on 12/31/2024, is +604.12%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

Time series data for the statistic Real_GDP_Per_Capita_PPP_Constant_2017_USD and country Japan. Indicator Definition:GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country 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 2017 international dollars.The statistic "Real GDP Per Capita PPP Constant 2017 USD" stands at 46,097.43 United States Dollars as of 12/31/2024, the highest value at least since 12/31/1991, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.5207 percent compared to the value the year prior.The 1 year change in percent is 0.5207.The 3 year change in percent is 3.93.The 5 year change in percent is 3.05.The 10 year change in percent is 8.02.The Serie's long term average value is 40,825.16 United States Dollars. It's latest available value, on 12/31/2024, is 12.91 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1990, to it's latest available value, on 12/31/2024, is +30.69%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

Time series data for the statistic Real_GDP_Per_Capita_Constant_2015_USD and country Portugal. Indicator Definition: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 constant 2015 U.S. dollars.The statistic "Real GDP Per Capita Constant 2015 USD" stands at 22,479.20 United States Dollars as of 12/31/2024, the highest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.7525 percent compared to the value the year prior.The 1 year change in percent is 0.7525.The 3 year change in percent is 8.35.The 5 year change in percent is 4.22.The 10 year change in percent is 19.34.The Serie's long term average value is 14,178.35 United States Dollars. It's latest available value, on 12/31/2024, is 58.55 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1960, to it's latest available value, on 12/31/2024, is +452.73%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

Time series data for the statistic Real_GDP_Per_Capita_Constant_2015_USD and country Haiti. Indicator Definition: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 constant 2015 U.S. dollars.The statistic "Real GDP Per Capita Constant 2015 USD" stands at 1,154.87 United States Dollars as of 12/31/2024, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -5.27 percent compared to the value the year prior.The 1 year change in percent is -5.27.The 3 year change in percent is -10.66.The 5 year change in percent is -17.18.The 10 year change in percent is -18.20.The Serie's long term average value is 1,541.42 United States Dollars. It's latest available value, on 12/31/2024, is 25.08 percent lower, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is +0.0%.The Serie's change in percent from it's maximum value, on 12/31/1980, to it's latest available value, on 12/31/2024, is -46.20%.

Time series data for the statistic Real_GDP_Per_Capita_PPP_Constant_2017_USD and country Poland. Indicator Definition:GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country 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 2017 international dollars.The statistic "Real GDP Per Capita PPP Constant 2017 USD" stands at 45,112.60 United States Dollars as of 12/31/2024, the highest value at least since 12/31/1991, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 3.30 percent compared to the value the year prior.The 1 year change in percent is 3.30.The 3 year change in percent is 9.87.The 5 year change in percent is 18.15.The 10 year change in percent is 48.72.The Serie's long term average value is 25,396.48 United States Dollars. It's latest available value, on 12/31/2024, is 77.63 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1991, to it's latest available value, on 12/31/2024, is +279.74%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.

The database used includes annual frequency data for 43 countries, defined by the IMF as 24 advanced countries and 19 emerging countries, for the years 1992-2018.The database contains the fiscal stress variable and a set of variables that can be classified as follows: macroeconomic and global economy (interest rates in the US, OECD; real GDP in the US, y-o-y, OECD; real GDP in China, y-o-y, World Bank; oil price, y-o-y, BP p.l.c.; VIX, CBOE; real GDP, y-o-y, World Bank, OECD, IMF WEO; GDP per capita in PPS, World Bank); financial (nominal USD exchange rate, y-o-y, IMF IFS; private credit to GDP, change in p.p., IMF IFS, World Bank and OECD); fiscal (general government balance, % GDP, IMF WEO; general government debt, % GDP, IMF WEO, effective interest rate on the g.g. debt, IMF WEO); competitiveness and domestic demand (currency overvaluation, IMF WEO; current account balance, % GDP, IMF WEO; share in global exports, y-o-y, World Bank, OECD; gross fixed capital formation, y-o-y, World Bank, OECD; CPI, IMF IFS, IMF WEO; real consumption, y-o-y, World Bank, OECD); labor market (unemployment rate, change in p.p., IMF WEO; labor productivity, y-o-y, ILO).In line with the convention adopted in the literature, the fiscal stress variable is a binary variable equal to 1 in the case of a fiscal stress event and 0 otherwise. In more recent literature in this field, the dependent variable tends to be defined broadly, reflecting not only outright default or debt restructuring, but also less extreme events. Therefore, following Baldacci et al. (2011), the definition used in the present database is broad, and the focus is on signalling fiscal stress events, in contrast to the narrower event of a fiscal crisis related to outright default or debt restructuring. Fiscal problems can take many forms; in particular, some of the outright defaults can be avoided through timely, targeted responses, like support programs of international institutions. The fiscal stress variable is shifted with regard to the other variables: crisis_next_year – binary variable shifted by 1 year, all years of a fiscal stress coded as 1; crisis_next_period – binary variable shifted by 2 years, all years of a fiscal stress coded as 1; crisis_first_year1 – binary variable shifted by 1 year, only the first year of a fiscal stress coded as 1; crisis_first_year2 - binary variable shifted by 2 years, only the first year of a fiscal stress coded as 1.

This measure reports the annual per capita personal income for the State of Iowa. Personal income is defined as the sum of wages and salaries, supplements to wages and salaries, proprietors’ income, dividends, interest, and rent, and personal current transfer receipts, less contributions for government social insurance. Personal income for Iowa is the income received by, or on behalf of all persons residing in Iowa, regardless of the duration of residence, except for foreign nationals employed by their home governments in Iowa. Per capita personal income is personal income divided by the Census Bureau’s annual midyear (July 1) population estimates.

Time series data for the statistic Real_GDP_Per_Capita_PPP_Constant_2017_USD and country New Zealand. Indicator Definition:GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country 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 2017 international dollars.The statistic "Real GDP Per Capita PPP Constant 2017 USD" stands at 48,162.86 United States Dollars as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -1.88 percent compared to the value the year prior.The 1 year change in percent is -1.88.The 3 year change in percent is 0.3462.The 5 year change in percent is 1.87.The 10 year change in percent is 8.83.The Serie's long term average value is 40,019.51 United States Dollars. It's latest available value, on 12/31/2024, is 20.35 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1991, to it's latest available value, on 12/31/2024, is +66.51%.The Serie's change in percent from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2024, is -2.93%.

Time series data for the statistic Real_GDP_Per_Capita_Constant_2015_USD and country Ethiopia. Indicator Definition: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 constant 2015 U.S. dollars.The statistic "Real GDP Per Capita Constant 2015 USD" stands at 916.29 United States Dollars as of 12/31/2024, the highest value at least since 12/31/1962, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes an increase of 4.58 percent compared to the value the year prior.The 1 year change in percent is 4.58.The 3 year change in percent is 11.43.The 5 year change in percent is 18.31.The 10 year change in percent is 58.35.The Serie's long term average value is 375.74 United States Dollars. It's latest available value, on 12/31/2024, is 143.86 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1992, to it's latest available value, on 12/31/2024, is +323.64%.The Serie's change in percent from it's maximum value, on 12/31/2024, to it's latest available value, on 12/31/2024, is 0.0%.