https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Median Family Income in Northeast Census Region (MEFAINUSNEA646N) from 1953 to 2023 about Northeast Census Region, family, median, income, and USA.
In 2023, the average annual net income per capita in Spain was ****** euros. The autonomous community with the highest average annual net income was the Basque Country, where it exceeded ****** euros. In contrast, Extremadura was the region with the lowest average income, with ****** euros per year.
In 2023, the annual per capita gross domestic product (GDP) in different provinces, municipalities, and autonomous regions in China varied from approximately 200,300 yuan in Beijing municipality to roughly 47,900 yuan in Gansu province. The average national per capita GDP crossed the threshold of 10,000 U.S. dollars in 2019 and reached around 89,400 yuan in 2023. Regional economic differences in China The level of economic development varies considerably in different parts of China. Four major geographic and economic regions can be discerned in the country: The economically advanced coastal regions in the east, less developed regions in Northeast and Central China, and the developing regions in the west. This division has deep historical roots reflecting the geography of each region and their political past and present. Furthermore, regional economic development closely correlates with regional urbanization rates, which closely resembles the borders of the four main economic regions. Private income in different parts of China Breaking the average income figures further down by province, municipality, or autonomous region reveals that the average disposable income in Shanghai or Beijing is on average more than three times higher than in Tibet or Gansu province. In rural areas, average disposable income is often only between one third and one half of that in urban areas of the same region. Accordingly, consumer expenditure per capita in urban areas reaches the highest levels in Shanghai, Beijing, and the coastal regions of China.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Mean Personal Income in West Census Region (MAPAINUSWEA646N) from 1974 to 2023 about West Census Region, average, personal income, personal, income, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Gross Domestic Product per capita In the Euro Area was last recorded at 38145.12 US dollars in 2024. The GDP per Capita In the Euro Area is equivalent to 302 percent of the world's average. This dataset provides the latest reported value for - Euro Area GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Philippines Average Family Income: National Capital Region (NCR) data was reported at 425,000.000 PHP in 2015. This records an increase from the previous number of 379,000.000 PHP for 2012. Philippines Average Family Income: National Capital Region (NCR) data is updated yearly, averaging 285,648.500 PHP from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 425,000.000 PHP in 2015 and a record low of 79,314.000 PHP in 1988. Philippines Average Family Income: National Capital Region (NCR) data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H020: Family Income and Expenditure Survey: Average Annual Income, Expenditure and Saving: By Region.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Russia Household Income per Capita: Average per Month data was reported at 32,598.000 RUB in 2018. This records an increase from the previous number of 31,488.000 RUB for 2017. Russia Household Income per Capita: Average per Month data is updated yearly, averaging 6,410.300 RUB from Dec 1990 (Median) to 2018, with 29 observations. The data reached an all-time high of 32,598.000 RUB in 2018 and a record low of 0.217 RUB in 1990. Russia Household Income per Capita: Average per Month data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA011: Household Income per Capita: by Region: Annual.
Out of all 50 states, New York had the highest per-capita real gross domestic product (GDP) in 2023, at 90,730 U.S. dollars, followed closely by Massachusetts. Mississippi had the lowest per-capita real GDP, at 39,102 U.S. dollars. While not a state, the District of Columbia had a per capita GDP of more than 214,000 U.S. dollars. What is real GDP? A country’s real GDP is a measure that shows the value of the goods and services produced by an economy and is adjusted for inflation. The real GDP of a country helps economists to see the health of a country’s economy and its standard of living. Downturns in GDP growth can indicate financial difficulties, such as the financial crisis of 2008 and 2009, when the U.S. GDP decreased by 2.5 percent. The COVID-19 pandemic had a significant impact on U.S. GDP, shrinking the economy 2.8 percent. The U.S. economy rebounded in 2021, however, growing by nearly six percent. Why real GDP per capita matters Real GDP per capita takes the GDP of a country, state, or metropolitan area and divides it by the number of people in that area. Some argue that per-capita GDP is more important than the GDP of a country, as it is a good indicator of whether or not the country’s population is getting wealthier, thus increasing the standard of living in that area. The best measure of standard of living when comparing across countries is thought to be GDP per capita at purchasing power parity (PPP) which uses the prices of specific goods to compare the absolute purchasing power of a countries currency.
This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.
http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically
Total gross household income includes the sum for all household members of gross personal income components plus gross income components at household level, including: - Gross employee cash or near cash income; - Gross non-cash employee income (only company car and associated costs included); - Gross cash benefits or losses from self-employment (including royalties); - Unemployment benefits; - Old-age benefits; - Survivors’ benefits; - Sickness benefits; - Disability benefits; - Education-related allowances; - Income from rental property or land; - Family/Children related allowances; - Social exclusion not elsewhere classified; - Housing allowances; - Regular inter-household cash transfers received; - Interests, dividends, profits from capital investments in unincorporated business; - Income received by people aged under 16; - Income received from individual private pension plans.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Uruguay Average Household Income: Incl Bonus: Incl Location Allowance: Interior data was reported at 58,473.565 UYU in Jun 2018. This records a decrease from the previous number of 59,711.941 UYU for May 2018. Uruguay Average Household Income: Incl Bonus: Incl Location Allowance: Interior data is updated monthly, averaging 34,785.875 UYU from Jan 2006 (Median) to Jun 2018, with 150 observations. The data reached an all-time high of 69,899.652 UYU in Jan 2018 and a record low of 14,687.787 UYU in May 2006. Uruguay Average Household Income: Incl Bonus: Incl Location Allowance: Interior data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Uruguay – Table UY.H001: Average Household Income.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Estimate of Median Household Income for District of Columbia (MHIDC11000A052NCEN) from 1989 to 2023 about DC, households, median, income, and USA.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Household Income per Capita: Avg per Month: Siberian Federal District (SB) data was reported at 50,383.000 RUB in 2024. This records an increase from the previous number of 40,352.000 RUB for 2023. Household Income per Capita: Avg per Month: Siberian Federal District (SB) data is updated yearly, averaging 14,360.150 RUB from Dec 1995 (Median) to 2024, with 30 observations. The data reached an all-time high of 50,383.000 RUB in 2024 and a record low of 493.700 RUB in 1995. Household Income per Capita: Avg per Month: Siberian Federal District (SB) data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Household Survey – Table RU.HA012: Household Income per Capita: by Region: Annual.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about UK Household Income per Capita
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about China GDP Per Capita
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Average Monthly Nominal Income: per Capita: Region: Zapadno-Kazakhstanskaya data was reported at 90,883.286 KZT in Jun 2018. This records an increase from the previous number of 89,629.546 KZT for Mar 2018. Average Monthly Nominal Income: per Capita: Region: Zapadno-Kazakhstanskaya data is updated quarterly, averaging 79,449.112 KZT from Mar 2015 (Median) to Jun 2018, with 14 observations. The data reached an all-time high of 90,883.286 KZT in Jun 2018 and a record low of 61,277.187 KZT in Jun 2015. Average Monthly Nominal Income: per Capita: Region: Zapadno-Kazakhstanskaya data remains active status in CEIC and is reported by The Agency of Statistics of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.H011: Average Population Income: per Capita.
How does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The Low- to Moderate-Income (LMI) New York State (NYS) Census Population Analysis dataset is resultant from the LMI market database designed by APPRISE as part of the NYSERDA LMI Market Characterization Study (https://www.nyserda.ny.gov/lmi-tool). All data are derived from the U.S. Census Bureau’s American Community Survey (ACS) 1-year Public Use Microdata Sample (PUMS) files for 2013, 2014, and 2015. Each row in the LMI dataset is an individual record for a household that responded to the survey and each column is a variable of interest for analyzing the low- to moderate-income population. The LMI dataset includes: county/county group, households with elderly, households with children, economic development region, income groups, percent of poverty level, low- to moderate-income groups, household type, non-elderly disabled indicator, race/ethnicity, linguistic isolation, housing unit type, owner-renter status, main heating fuel type, home energy payment method, housing vintage, LMI study region, LMI population segment, mortgage indicator, time in home, head of household education level, head of household age, and household weight. The LMI NYS Census Population Analysis dataset is intended for users who want to explore the underlying data that supports the LMI Analysis Tool. The majority of those interested in LMI statistics and generating custom charts should use the interactive LMI Analysis Tool at https://www.nyserda.ny.gov/lmi-tool. This underlying LMI dataset is intended for users with experience working with survey data files and producing weighted survey estimates using statistical software packages (such as SAS, SPSS, or Stata).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in District of Columbia. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2012 and 2022, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..
Key observations
https://i.neilsberg.com/ch/district-of-columbia-dc-median-household-income-by-race-trends.jpeg" alt="District of Columbia, DC median household income trends across races (2012-2022, in 2022 inflation-adjusted dollars)">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.
Racial categories include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for District of Columbia median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset presents data on income (including Government allowances) available from the ABS Data by Region statistics. This release of Data by Region presents various data for 2011-2019 and Census of Population and Housing data for 2011 and 2016 and is based on the Local Government Area (LGA) 2019 boundaries. The dataset includes information in the following specified areas of income: Estimates of Personal Income, Gross Capital Gains, Selected Government Pensions and Allowances, Total Personal Income (Weekly) and Equivalised Total Household Income. Data by Region contains a standard set of data for each region type, depending on the availability of statistics for particular geographies. Data are sourced from a wide variety of collections, both ABS and non-ABS. When analysing these statistics, care needs to be taken as time periods, definitions, methodologies, scope and coverage can differ across collections. Where available, data have been presented as a time series - to enable users to assess changes over time. However, when looked at on a period to period basis, some series may sometimes appear volatile. When analysing the data, users are encouraged to consider the longer term behaviour of the series, where this extra information is available. For more information please visit the Explanatory Notes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Uruguay Average Income per Capita: Incl Bonus: Incl Location Allowance: Interior data was reported at 20,191.616 UYU in Jun 2018. This records a decrease from the previous number of 20,625.568 UYU for May 2018. Uruguay Average Income per Capita: Incl Bonus: Incl Location Allowance: Interior data is updated monthly, averaging 12,063.324 UYU from Jan 2006 (Median) to Jun 2018, with 150 observations. The data reached an all-time high of 24,114.067 UYU in Jan 2018 and a record low of 4,808.240 UYU in Jun 2006. Uruguay Average Income per Capita: Incl Bonus: Incl Location Allowance: Interior data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Uruguay – Table UY.H002: Average Income Per Capita.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Median Family Income in Northeast Census Region (MEFAINUSNEA646N) from 1953 to 2023 about Northeast Census Region, family, median, income, and USA.