Context

The Bureau of Labor Statistics (BLS) is a unit of the United States Department of Labor. It is the principal fact-finding agency for the U.S. government in the broad field of labor economics and statistics and serves as a principal agency of the U.S. Federal Statistical System. The BLS is a governmental statistical agency that collects, processes, analyzes, and disseminates essential statistical data to the American public, the U.S. Congress, other Federal agencies, State and local governments, business, and labor representatives. Source: https://en.wikipedia.org/wiki/Bureau_of_Labor_Statistics

Content

Bureau of Labor Statistics including CPI (inflation), employment, unemployment, and wage data.

Update Frequency: Monthly

Querying BigQuery Tables

Fork this kernel to get started.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:bls

https://cloud.google.com/bigquery/public-data/bureau-of-labor-statistics

Dataset Source: http://www.bls.gov/data/

This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by Clark Young from Unsplash.

Inspiration

What is the average annual inflation across all US Cities? What was the monthly unemployment rate (U3) in 2016? What are the top 10 hourly-waged types of work in Pittsburgh, PA for 2016?

Data from the Bureau of Labor Statistics (BLS) Current Employment Statistics (CES) program. CES data represents businesses and government agencies, providing detailed industry data on employment on nonfarm payrolls.

This dataset represents the CHANGE in the number of jobs per industry category and sub-category from the previous month, not the raw counts of actual jobs. The data behind these monthly change values is from the Bureau of Labor Statistics (BLS) Current Employment Statistics (CES) program. CES data represents businesses and government agencies, providing detailed industry data on employment on nonfarm payrolls.

This dataset from the Bureau of Labor Statistics provides monthly estimates regarding total employment and unemployment, which together comprise the labor force. Our data extract lists all data published for North Carolina’s counties from January 2019 to the present. This dataset is a comprehensive nationwide representation using estimates derived from the national Current Population Survey (CPS) and American Community Survey 5-year estimates. No disaggregations by demographic or worker characteristics are included in the labor force estimate. Time series reports for each variable (employment, unemployment, and labor force) are available for each geography (county) using the BLS multi-screen data tool. Preliminary estimates are released within 30 days of each month and finalized within another 30 days, resulting in a 2-month data lag. The data is available from BLS for a variety of geographic areas, including states, MSAs, counties, cities and towns, and other census regions.

Abstract

This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS)

Documentation

Update frequency: Monthly Dataset source: U.S. Bureau of Labor Statistics Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset. See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/bls-public-data/bureau-of-labor-statistics

Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Employed full time: Wage and salary workers: Database administrators occupations: 16 years and over: Men (LEU0254584200A) from 2000 to 2024 about administrative, occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

Non Farm Payrolls in the United States increased by 147 thousand in June of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS). This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

The Employer Costs for Employee Compensation (ECEC) is a measure of the cost of labor. The compensation series includes wages and salaries plus employer costs for individual employee benefits. Employee benefit costs are calculated as cents-per-hour-worked for individual benefits ranging from employer payments for Social Security to paid time off for holidays. The survey covers all occupations in the civilian economy, which includes the total private economy (excluding farms and households), and the public sector (excluding the Federal government). Statistics are published for the private and public sectors separately, and the data are combined in a measure for the civilian economy. For information and data, visit: https://www.bls.gov/ncs/ect/

This app contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values. The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: March 2021 (preliminary values at the state and county level)The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS's county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2019 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.To better understand the different labor force statistics included in this map, see the diagram below from BLS:Esri's U.S. Updated Demographic Data - Population, age, income, sex, race, home value, and marital status are among the variables included in the database. Each year, Esri's Data Development team employs its proven methodologies to update more than 2,000 demographic variables for a variety of U.S. geographies.Data Note: The median household income value divides the distribution of household income into two equal parts. Pareto interpolation is used if the median falls in an income interval other than the first or last. For the lowest interval, <$10,000, linear interpolation is used. If the median falls in the upper income interval of $500,000+, it is represented by the value of $500,001. Additional Esri Resources:Esri DemographicsU.S. 2020/2025 Esri Updated DemographicsEssential demographic vocabularyPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Bachelor's degree and higher: 25 years and over (LEU0252918500Q) from Q1 2000 to Q1 2025 about second quartile, full-time, 25 years +, tertiary schooling, salaries, workers, earnings, education, wages, median, employment, and USA.

Context:

The Consumer Price Indexes (CPI) program produces monthly data on changes in the prices paid by urban consumers for a representative basket of goods and services. It is a useful way to compare changes in the economy across time.

Content:

This data covers Jan 1913-May 2017, and is normalized to “CPI-U all items 1982-84=100, not seasonally adjusted”. Fields include time of measurement and CPI score.

Acknowledgements:

This dataset was compiled on behalf of the Bureau of Labor Statistics (BLS) via Colorado Department of Labor & Employment (CDLE) and hosted on data.colorado.gov.

Inspiration:

• What periods of time have seen the highest/lowest CPI?
• When has inflation been the worse?
• Can you predict present CPI?

These market data provide a comprehensive set of measures of changes in economic activity throughout the coastal regions of the United States. In regard to the sources of data, establishments, employment, and wages are taken from the Quarterly Census of Employment and Wages (QCEW). The data series also is known as the ES-202 data. These data are based on the quarterly reports of nearly all employers in the United States. These reports are filed with each state's employment or labor department, and each state then transmits the data to the Bureau of Labor Statistics (BLS), where the national databases are maintained. The data for the Coastal Economies have been taken from the national databases at BLS (except in the case of Massachusetts). Gross State Product (GSP) data are taken from the Bureau of Economic Analysis (BEA), which develops the estimates of GSP from a number of sources. In regard to "employment", data are reported by employers, not employees, and does not contain any information about age. There is no difference between "employed" and "employment". The source is known as the payroll survey, a survey filed by employers every 3 months showing the number of people employed at each establishment in each of the preceding 3 months. Detailed information on the geographies the data are available for can be found here: https://coast.noaa.gov/htdata/SocioEconomic/CoastalEconomy/CoastalEconomy_DataDescription.pdf

This data collection, intended to facilitate analysis of U.S. manufacturing industries, is an economic time series for 450 manufacturing industries for the time period 1958-1976. The dataset was developed for the Bureau of the Census by a joint team from SRI International and the University of Pennsylvania. Its purpose is to aid in estimating industry production functions and then in comparing theoretical measures of capacity utilization derived from those production functions with "actual" (survey based) measures of capacity utilization. The SP database was developed from a variety of sources, including published Census data, published and unpublished data from the Bureau of Economic Analysis (BEA), unpublished data form the Bureau of Labor Statistics (BLS), and original calculations. The data include: shipments measured in current dollars and a shipments deflator; value-added in current dollars; total capital expediture; gross capital stocks; investment shares; labor information including all workers, payroll, and hours worked; cost of energy and fuel; all other material inputs in current dollars; and cost of net materials deflator (cost of materials minus cost of energy).

Job Quits Rate in the United States increased to 2.10 percent in May from 2 percent in April of 2025. This dataset includes a chart with historical data for the United States Job Quits Rate.

Please cite the corresponding article if this dataset is used to support additional findings:Leon-Moreta, A. "Ballot Measures for Open Space Conservation: Economic and Institutional Processes in Cities." Urban Affairs Review (2019): 1-34. doi:10.1177/1078087419884732.The data described here were used in the analysis and findings reported in the article, Leon-Moreta, A. "Ballot Measures for Open Space Conservation: Economic and Institutional Processes in Cities." Urban Affairs Review (2019): 1-34. doi:10.1177/1078087419884732. A STATA (V. 13) do-file for calculating variables is also included. Please cite the corresponding article if this dataset is used to support additional findings.https://journals.sagepub.com/doi/10.1177/1078087419884732Cited Datasets:The dataset described here cites data from the following sources:Bureau of Labor Statistics. 2002–2012. Consumer Price Index. https://www.bls.gov (accessed March 27, 2018).Berry, William, Evan Ringquist, Richard Fording, and Russell Hanson. 1998. “Measuring Citizen and Government Ideology in the American States, 1960-93.” American Journal of Political Science 42(1): 327-348.Census Bureau. 1987–2012. Census of Governments. Washington, DC: Department of Commerce.Census Bureau. 2000. Census of Population and Housing. Washington, DC: Department of Commerce.Census Bureau. 2005–2014. American Community Survey. Washington, DC: Department of Commerce.Census Bureau. 1988–2011. Boundary and Annexation Survey. Washington, DC: Department of Commerce.International City/County Management Association. 1996–2011. Municipal Form of Government Surveys. Washington, DC: ICMA.National Center for Charitable Statistics. 2000–2010. IRS Business Master File. Washington, DC: Urban Institute.National Historical Geographic Information System. 2001–2011. National Land Cover Database. Minneapolis, MN: University of Minnesota.Trust for Public Land. 2018. LandVote®. Landvote.org (accessed March 27, 2018).Trust for Public Land. 2000, 2005, 2010. National Conservation Easement Database.National Agricultural Statistics Service. Census of Agriculture. Washington, DC: United States Department of Agriculture.Woods & Poole. 2000 through 2010. MSA Profile. Washington, DC: Woods & Poole.

The integrated industry-level production account (ILPA) contains estimates of the sources of economic growth. It allows analysts to trace aggregate GDP growth from its industry origins to changes in factors of production, including capital, labor, intermediate inputs, and (integrated) multifactor productivity. Accounts of this nature are often referred to as 'KLEMS' accounts and the 'integrated' terminology reflects a collaboration between the Bureau of Labor Statistics (BLS) and BEA to produce consistent estimates. The account has proven useful for analysts studying structural change, globalization, the impact of information and communications technology, and the industry origins of productivity growth.

The Consumer Expenditure Survey (CE) program consists of two surveys: the quarterly Interview survey and the annual Diary survey. Combined, these two surveys provide information on the buying habits of American consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. The survey data are collected for the U.S. Bureau of Labor Statistics (BLS) by the U.S. Census Bureau. The CE collects all on all spending components including food, housing, apparel and services, transportation, entertainment, and out-of-pocket health care costs.

The CE features several arts-related spending categories, including the following items:

Spending on Admissions

Plays, theater, opera, and concerts; Movies, parks, and museums;

Spending on Reading

Newspapers and magazines; Books; Digital book readers;

Spending on Other Arts-Related Items

Musical instruments; Photographic equipment; Audio-visual equipment; Toys, games, arts and crafts;

The CE is important because it is the only Federal survey to provide information on the complete range of consumers' expenditures and incomes, as well as the characteristics of those consumers. It is used by economic policymakers examining the impact of policy changes on economic groups, by the Census Bureau as the source of thresholds for the Supplemental Poverty Measure, by businesses and academic researchers studying consumers' spending habits and trends, by other Federal agencies, and, perhaps most importantly, to regularly revise the Consumer Price Index market basket of goods and services and their relative importance.

The most recent data tables are for 2017, and were made available on September 11, 2018. The unpublished integrated CE data tables produced by the BLS are available to download through NADAC (click on "Excel" in the Dataset(s) section). Also, see Featured CE Tables and Economic News Releases sections on the CE home page for current data tables and news release. The 2017 public-use microdata is the most recent and was released on September 11, 2018.

Graph and download economic data for Average Hourly Earnings of All Employees: Total Private in San Francisco-Oakland-Hayward, CA (MSA) (DISCONTINUED) (SMU06418600500000003SA) from Jan 2011 to Mar 2022 about San Francisco, earnings, hours, CA, private, employment, and USA.