Federal Reserve Economic Data: Your trusted data source since 1991

  • Dollars per Hour, Annual, Not Seasonally Adjusted 1968 to 2023 (2023-01-01)

    State minimum wage applies only if employer provides healthcare benefits. State minimum wage is changed annually based on changes in the CPI and a cost of living formula. For the years 1976-1978, the displayed wage represents the largest minimum wage paid. Some individuals newly covered under state law received a lower wage. For more information, visit https://www.dol.gov/whd/state/stateMinWageHis.htm

  • Percent, Monthly, Seasonally Adjusted Jan 1976 to Feb 2024 (3 days ago)

  • Number, Weekly, Not Seasonally Adjusted 2020-03-28 to 2022-10-22 (2022-11-14)

    Continued claims, also referred to as insured unemployment, is the number of people who have already filed an initial claim and who have experienced a week of unemployment and then filed a continued claim to claim benefits for that week of unemployment. Continued claims data are based on the week of unemployment, not the week when the initial claim was filed. The Pandemic Unemployment Assistance (PUA) is a program that temporarily expanded unemployment insurance eligibility to self-employed workers, freelancers, independent contractors and part-time workers impacted by the coronavirus pandemic in 2020. This program was established by the Coronavirus Aid, Relief, and Economic Security (CARES) Act, which expanded states' ability to provide unemployment insurance to many workers affected by COVID-19, including people who aren't ordinarily eligible for unemployment benefits.

  • Index 1980:Q1=100, Quarterly, Not Seasonally Adjusted Q1 1975 to Q4 2023 (Feb 27)

    Estimated using sales prices and appraisal data.

  • Thousands of Persons, Annual, Not Seasonally Adjusted 1900 to 2023 (Dec 19)

    Data for "Resident Population" from 1900 to present are estimates as of July 1

  • Millions of Dollars, Quarterly, Seasonally Adjusted Annual Rate Q1 2018 to Q3 2023 (Dec 27)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • 2022 CPI-U-RS Adjusted Dollars, Annual, Not Seasonally Adjusted 1984 to 2022 (Sep 12)

    Household data are collected as of March. Consumer Price Index research series using current methods (CPI-U-RS) presents an estimate of the CPI for all Urban Consumers (CPI-U) that incorporates most of the improvements made over that time span into the entire series. More information can be found at https://www.bls.gov/cpi/research-series/home.htm. As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf): Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500. We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation. Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P-60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60-114.pdf).

  • Current Dollars, Annual, Not Seasonally Adjusted 1984 to 2022 (Sep 12)

    Household data are collected as of March. As stated in the Census's "Source and Accuracy of Estimates for Income, Poverty, and Health Insurance Coverage in the United States: 2011" (http://www.census.gov/hhes/www/p60_243sa.pdf): Estimation of Median Incomes. The Census Bureau has changed the methodology for computing median income over time. The Census Bureau has computed medians using either Pareto interpolation or linear interpolation. Currently, we are using linear interpolation to estimate all medians. Pareto interpolation assumes a decreasing density of population within an income interval, whereas linear interpolation assumes a constant density of population within an income interval. The Census Bureau calculated estimates of median income and associated standard errors for 1979 through 1987 using Pareto interpolation if the estimate was larger than $20,000 for people or $40,000 for families and households. This is because the width of the income interval containing the estimate is greater than $2,500. We calculated estimates of median income and associated standard errors for 1976, 1977, and 1978 using Pareto interpolation if the estimate was larger than $12,000 for people or $18,000 for families and households. This is because the width of the income interval containing the estimate is greater than $1,000. All other estimates of median income and associated standard errors for 1976 through 2011 (2012 ASEC) and almost all of the estimates of median income and associated standard errors for 1975 and earlier were calculated using linear interpolation. Thus, use caution when comparing median incomes above $12,000 for people or $18,000 for families and households for different years. Median incomes below those levels are more comparable from year to year since they have always been calculated using linear interpolation. For an indication of the comparability of medians calculated using Pareto interpolation with medians calculated using linear interpolation, see Series P-60, Number 114, Money Income in 1976 of Families and Persons in the United States (www2.census.gov/prod2/popscan/p60-114.pdf).

  • Percent, Annual, Not Seasonally Adjusted 1986 to 2023 (Mar 13)

  • Number, Weekly, Not Seasonally Adjusted 1986-02-01 to 2024-03-09 (6 days ago)

    Continued claims, also referred to as insured unemployment, is the number of people who have already filed an initial claim and who have experienced a week of unemployment and then filed a continued claim to claim benefits for that week of unemployment. Continued claims data are based on the week of unemployment, not the week when the initial claim was filed.

  • Percent, Monthly, Seasonally Adjusted Jan 1976 to Feb 2024 (6 days ago)

    A state's labor-force participation rate is the number of all employed and unemployed workers divided against the state's civilian population. Differences between monthly seasonally-adjusted and not-seasonally-adjusted labor force participation rates are determined by the seasonal components of the LAUS labor force levels. The not seasonally adjusted version of this time series is LBSNSA32

  • Units, Monthly, Seasonally Adjusted Jan 1988 to Feb 2024 (3 days ago)

    This series represents the total number of building permits for all structure types. Structure types include 1-unit, 2-unit, 3-unit, 4-unit, and 5-unit or more. The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/NVBPPRIV). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Feb 2024 (Mar 21)

    The median home size in square feet for listings in a given market during the specified month. With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  • Number, Weekly, Not Seasonally Adjusted 1986-02-08 to 2024-03-16 (6 days ago)

    An initial claim is a claim filed by an unemployed individual after a separation from an employer. The claim requests a determination of basic eligibility for the Unemployment Insurance program.

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 1990 to Feb 2024 (6 days ago)

  • Percent, Monthly, Not Seasonally Adjusted Jan 1990 to Jan 2024 (Mar 13)

    These data come from the Current Population Survey (CPS), also known as the household survey. Civilian Labor Force includes all persons in the civilian noninstitutional population ages 16 and older classified as either employed or unemployed. Employed persons are all persons who, during the reference week (the week including the 12th day of the month), (a) did any work as paid employees, worked in their own business or profession or on their own farm, or worked 15 hours or more as unpaid workers in an enterprise operated by a member of their family, or (b) were not working but who had jobs from which they were temporarily absent because of vacation, illness, bad weather, childcare problems, maternity or paternity leave, labor-management dispute, job training, or other family or personal reasons, whether or not they were paid for the time off or were seeking other jobs. Each employed person is counted only once, even if he or she holds more than one job. Unemployed persons are all persons who had no employment during the reference week, were available for work, except for temporary illness, and had made specific efforts to find employment some time during the 4 week-period ending with the reference week. Persons who were waiting to be recalled to a job from which they had been laid off need not have been looking for work to be classified as unemployed. The unemployment rate is the unemployed percent of the civilian labor force [100 times (unemployed/civilian labor force)]. For more details, see the release's <a href=https://www.bls.gov/lau/laufaq.htm>frequently asked questions</a>.

  • Thousands of Persons, Annual, Not Seasonally Adjusted 1970 to 2023 (Mar 14)

    Data for "Resident Population" are estimates as of July 1. Data for 1970, 1980, 1990, and 2000 are annual census. Population estimates are updated annually using current data on births, deaths, and migration to calculate population change since the most recent decennial census. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. Each vintage of estimates includes all years since the most recent decennial census.

  • Percent, Annual, Not Seasonally Adjusted 1984 to 2023 (Mar 13)

  • Dollars, Monthly, Smoothed Seasonally Adjusted Jan 2000 to Feb 2024 (Mar 21)

    The Zillow Home Value Index or ZHVI is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. Home types captured in ZHVI include single-family residences, condos, and co-ops. A single-family home is a standalone, detached house used as a single dwelling unit, meaning a residence for one family, person or household. It has its own private entrance and direct street access, and is built on its own land, usually with additional yard space. An owner-occupied apartment is generally referred to as a condominium or condo. The public common areas are jointly-owned and usually managed by a homeowners association (HOA). A cooperative, or co-op, is a type of housing that is actually a corporation. A co-op resembles a condominium but the unit owners do not own their unit outright. Each resident owns a share in a corporation that entitles them to live in one of the units under a lease agreement. For more information on types of houses, check out Zillow's types of houses article (https://www.zillow.com/resources/stay-informed/types-of-houses/). For information about ZHVI, check out their user guide (https://www.zillow.com/research/zhvi-user-guide/). For more information about methodology check out this overview of ZHVI (https://www.zillow.com/research/zhvi-methodology-2019-highlights-26221/) and a deep-dive into its methodology (https://www.zillow.com/research/zhvi-methodology-2019-deep-26226/).

  • Millions of Chained 2017 Dollars, Quarterly, Seasonally Adjusted Annual Rate Q1 2018 to Q3 2023 (Dec 27)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 1990 to Feb 2024 (6 days ago)

  • Dollars, Annual, Not Seasonally Adjusted 1929 to 2022 (Sep 29)

  • Millions of U.S. Dollars, Quarterly, Not Seasonally Adjusted Q1 1994 to Q3 2023 (Mar 15)

    The Quarterly Summary of State and Local Government Tax Revenue provides quarterly estimates of state and local government tax revenue at a national level, as well as detailed tax revenue data for individual states. This quarterly survey has been conducted continuously since 1962. The information contained in this survey is the most current information available on a nationwide basis for government tax collections. For more information about the survey, visit the U.S. Census Bureau (https://www.census.gov/programs-surveys/qtax/about.html). A Special Note Concerning Revised Data: Revisions reflect tax collection amounts obtained from three general sources. State and local government respondents have submitted revisions to amounts as originally reported. In other cases, governments have reported data, which we used to replace data that were previously imputed or estimated. Finally, some of the revisions were compiled from government sources, both published and unpublished. For more information, see the survey's methodology (https://www.census.gov/programs-surveys/qtax/technical-documentation/methodology.html).

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Feb 2024 (Mar 21)

    The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 1990 to Feb 2024 (6 days ago)

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 1990 to Feb 2024 (6 days ago)

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 1990 to Feb 2024 (5 days ago)

    The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU32000007071320001). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

  • Level, Monthly, Not Seasonally Adjusted Jul 2016 to Feb 2024 (Mar 21)

    The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  • Index 2000=100, Annual, Not Seasonally Adjusted 1975 to 2023 (2 days ago)

    As stated by the source, these annual county indexes should be considered developmental. As with the standard FHFA HPIs, revisions to these indexes may reflect the impact of new data or technical adjustments. Indexes are calibrated using appraisal values and sales prices for mortgages bought or guaranteed by Fannie Mae and Freddie Mac. As discussed in the Working Paper 16-01, in cases where sample sizes are small for the county area, an index is either not reported if recording has not started or a missing value is reported with a period (.). Index values always reflect the native county index, i.e. they are not made with data from another area or year. For tracking and feedback purposes, please cite Working Paper 16-01 when using these data. A suggested form is: Bogin, A., Doerner, W. and Larson, W. (2016). Local House Price Dynamics: New Indices and Stylized Facts. Federal Housing Finance Agency, Working Paper 16-01. The working paper is accessible at http://www.fhfa.gov/papers/wp1601.aspx.

  • Percent, Annual, Not Seasonally Adjusted 1989 to 2022 (Dec 14)

    The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Estimates of poverty by ages and families are not direct counts from enumerations or administrative records, nor direct estimates from sample surveys. Instead, for counties and states, the Census models income and poverty estimates by combining survey data with population estimates and administrative records. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

  • Percent Change from Year Ago, Annual, Not Seasonally Adjusted 2008 to 2022 (2023-05-25)

    Labor productivity describes the efficiency at which labor hours are utilized in producing output of goods and services, measured as output per hour of labor.

  • Number, Quarterly, Seasonally Adjusted Q3 2004 to Q4 2019 (2020-10-14)

    The Business Formation Statistics are now released on a monthly basis, and the quarterly series will no longer be updated. See BFPBF4QTOTALSANV (https://fred.stlouisfed.org/series/BFPBF4QTOTALSANV) for an alternative. The projected number of employer businesses that originate from Business Applications (BA) within four quarters from the quarter of application.

  • Dollars, Annual, Not Seasonally Adjusted 1997 to 2022 (Oct 4)

    Personal consumption expenditures of a given area divided by the resident population of the area. Consists of actual and imputed consumption expenditures for services by resident households.For more information about this release go to http://www.bea.gov/newsreleases/regional/pce/pce_newsrelease.htm.

  • Dollars, Annual, Not Seasonally Adjusted 1997 to 2022 (Oct 4)

    Personal consumption expenditures of a given area divided by the resident population of the area. Gross output is net of unrelated sales, secondary sales, and sales to business, government, and the rest of the world; excludes own-account investment (construction and software).For more information about this release go to http://www.bea.gov/newsreleases/regional/pce/pce_newsrelease.htm.

  • Dollars, Annual, Not Seasonally Adjusted 1997 to 2022 (Oct 4)

    Personal consumption expenditures of a given area divided by the resident population of the area. Purchases of garments and other clothing materials and footwear. Garments consist of women's and girl's clothing, men's and boy's clothing, and children's and infant's clothing.For more information about this release go to http://www.bea.gov/newsreleases/regional/pce/pce_newsrelease.htm.

  • Index 2017=100, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Millions of Chained 2017 Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Millions of Chained 2017 Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Index 2017=100, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Index 2017=100, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Index 2017=100, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Millions of Chained 2017 Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Millions of Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Millions of Chained 2017 Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Index 2017=100, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Millions of Chained 2017 Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Millions of Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Chained 2017 Dollars, Annual, Not Seasonally Adjusted 2008 to 2022 (Dec 14)

    Real per capita personal income is the real personal income divided by midyear population. Real personal income is personal income at RPPs divided by the national PCE price index. It is estimated for states, state metro/nonmetro portions, metropolitan statistical areas, and the combined nonmetropolitan portion of the United States. For more information about this release go to http://www.bea.gov/newsreleases/regional/rpp/rpp_newsrelease.htm or http://www.bea.gov/regional/methods.cfm.

  • Millions of Dollars, Quarterly, Seasonally Adjusted Annual Rate Q1 2018 to Q3 2023 (Dec 27)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Millions of Dollars, Quarterly, Seasonally Adjusted Annual Rate Q1 2018 to Q3 2023 (Dec 27)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Index 2017=100, Quarterly, Seasonally Adjusted Q1 2018 to Q3 2023 (Dec 27)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Millions of Dollars, Quarterly, Seasonally Adjusted Annual Rate Q1 2018 to Q3 2023 (Dec 27)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Millions of Dollars, Quarterly, Seasonally Adjusted Annual Rate Q1 1948 to Q3 2023 (Dec 22)

    Please visit http://research.stlouisfed.org/fred2/personalincome for documentation on the derivation of personal income.

  • Index Jan 2000=100, Monthly, Seasonally Adjusted Jan 1987 to Jan 2024 (2 days ago)

    For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf). Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Las Vegas, Nevada in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Las Vegas, Nevada. Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

  • Thousands of Persons, Annual, Not Seasonally Adjusted 1970 to 2023 (Mar 14)

    Data for "Resident Population" are estimates as of July 1. Data for 1970, 1980, 1990, and 2000 are annual census. Population estimates are updated annually using current data on births, deaths, and migration to calculate population change since the most recent decennial census. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. Each vintage of estimates includes all years since the most recent decennial census.

  • Thousands of Persons, Monthly, Seasonally Adjusted Jan 1990 to Feb 2024 (5 days ago)

    The Federal Reserve Bank of St. Louis seasonally adjusts this series by using the 'statsmodels' library from Python with default parameter settings. The package uses the U.S. Bureau of the Census X-13ARIMA-SEATS Seasonal Adjustment Program. More information on the 'statsmodels' X-13ARIMA-SEATS package can be found here (https://www.statsmodels.org/dev/generated/statsmodels.tsa.x13.x13_arima_analysis.html). More information on X-13ARIMA-SEATS can be found here (https://www.census.gov/data/software/x13as.html). Many series include both seasonally adjusted (SA) and not seasonally adjusted (NSA) data. Occasionally, updates to the data will not include sufficient seasonal factors to trigger a seasonal adjustment. In these cases, the NSA series will be updated normally; but the SA series will also be updated with the NSA data. The NSA series can be located here here (https://fred.stlouisfed.org/series/SMU32000007072112001). Some seasonally adjusted series may exhibit negative values because they are created from a seasonal adjustment process regardless of the actual meaning or interpretation of the given indicator.

  • Dollars, Annual, Not Seasonally Adjusted 1989 to 2022 (Dec 14)

    The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

  • Millions of Dollars, Annual, Not Seasonally Adjusted 2017 to 2022 (Sep 29)

    Information about this release can be found here (https://www.bea.gov/data/gdp/gdp-state). For information about BEA industries and other regional definitions, visit their Regional Economic Accounts: Regional Definitions website (https://apps.bea.gov/regional/definitions/).

  • Number, Weekly, Not Seasonally Adjusted 2020-04-04 to 2022-11-05 (2022-11-14)

    An initial claim is a claim filed by an unemployed individual after a separation from an employer. The Pandemic Unemployment Assistance (PUA) is a program that temporarily expanded unemployment insurance eligibility to self-employed workers, freelancers, independent contractors and part-time workers impacted by the coronavirus pandemic in 2020. This program was established by the Coronavirus Aid, Relief, and Economic Security (CARES) Act, which expanded states' ability to provide unemployment insurance to many workers affected by COVID-19, including people who aren't ordinarily eligible for unemployment benefits.

  • Thousands of Dollars, Annual, Not Seasonally Adjusted 1942 to 2022 (Jan 16)

    For more information, see https://www.census.gov/programs-surveys/qtax.html.


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