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?

Graph and download economic data for Employed full time: Wage and salary workers: Economists occupations: 16 years and over (LEU0254481400A) from 2000 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

Overview

This repository contains file of monthly US Unemployment rates going back to 1948

Acknowledgment

Would like to thank the book "Practical Time Series Analysis" for alerting me to this dataset.

Employment Rate in the United States increased to 59.70 percent in September from 59.60 percent in August of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Bureau of Labor Statistics Industrialized Countries - Import Price Index: Other electrical equipment and component manufacturing for Industrialized Countries was 140.50000 Index 2010=100 in December of 2019, according to the United States Federal Reserve. Historically, Bureau of Labor Statistics Industrialized Countries - Import Price Index: Other electrical equipment and component manufacturing for Industrialized Countries reached a record high of 140.50000 in December of 2019 and a record low of 92.60000 in January of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Bureau of Labor Statistics Industrialized Countries - Import Price Index: Other electrical equipment and component manufacturing for Industrialized Countries - last updated from the United States Federal Reserve on November of 2025.

The TAC provides advice to the Bureau of Labor Statistics on technical aspects of data collection and the formulation of economic measures and makes recommendations on areas of research. On some technical issues, there are differing views and receiving feedback at public meetings provides BLS with the opportunity to consider all viewpoints.

The Committee consists of approximately 16 members who serve as Special Government Employees. Members are appointed by the BLS and are approved by the Secretary of Labor. Committee members are experts in economics, statistics, data science, and survey design. Members typically have Ph.D.s in their field and have significant experience. They are prominent experts in their fields and recognized for their professional achievements and objectivity. The economic experts will have research experience with technical issues related to BLS data and will be familiar with employment and unemployment statistics, price index numbers, compensation measures, productivity measures, occupational and health statistics, or other topics relevant to BLS data series. The statistical experts will have experience with sample design, data analysis, computationally intensive statistical methods, non-sampling errors or other areas which are relevant to BLS work. The data science experts will have experience compiling, modeling, analyzing, and interpreting large sets of structured and unstructured data. The survey design experts will have experience with questionnaire design, usability, or other areas of survey development. Collectively, the members will provide a balance of expertise in all of these areas.

BLS invites persons interested in serving on the TAC to submit their names for consideration for committee membership. Typically, TAC members are appointed to three-year terms and serve as unpaid Special Government Employees.

The Bureau often faces highly technical issues while developing and maintaining the accuracy and relevancy of its data on employment and unemployment, prices, productivity, and compensation and working conditions. These issues range from how to develop new measures to how to make sure that existing measures account for the ever-changing economy. BLS presents issues and then draws on the specialized expertise of Committee members representing specialized fields within the academic disciplines of economics, statistics and data science, and survey design. Committee members are also invited to bring to the attention of BLS issues that have been identified in the academic literature or in their own research.

Graph and download economic data for Employed full time: Wage and salary workers: Economists occupations: 16 years and over: Women (LEU0254695000A) from 2000 to 2024 about occupation, full-time, females, salaries, workers, 16 years +, wages, employment, and USA.

Bureau of Labor Statistics Industrialized Countries - Import Price Index: Computer and peripheral equipment manufacturing for Industrialized Countries was 91.70000 Index 2010=100 in December of 2020, according to the United States Federal Reserve. Historically, Bureau of Labor Statistics Industrialized Countries - Import Price Index: Computer and peripheral equipment manufacturing for Industrialized Countries reached a record high of 100.00000 in July of 2012 and a record low of 89.30000 in November of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for Bureau of Labor Statistics Industrialized Countries - Import Price Index: Computer and peripheral equipment manufacturing for Industrialized Countries - last updated from the United States Federal Reserve on December of 2025.

Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August 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.

The Local Area Unemployment Statistics (LAUS) program facilitates a comprehensive Federal-State collaboration to generate monthly estimates of total employment and unemployment for around 7,300 regions, encompassing counties, cities, and metropolitan statistical areas. These estimates serve as pivotal indicators of local economic health. Orchestrated by the U.S. Department of Labor's Bureau of Labor Statistics (BLS), this dataset offers essential insights into employment dynamics, aiding policymakers, economists, businesses, and researchers in understanding regional labor market trends.

Use and Application: Economists and labor market analysts can use this dataset to analyze local employment and unemployment trends, assess economic disparities among different regions, and identify potential areas for job growth or intervention. Policymakers can make informed decisions about workforce development, job training programs, and economic policies. Businesses can gauge local labor market conditions to inform hiring strategies and expansion plans. Researchers can correlate employment trends with various socio-economic factors, contributing to studies on workforce dynamics. This dataset's nuanced view of employment and unemployment at the local level provides a foundation for targeted economic planning, strategic decision-making, and shaping policies to foster robust and inclusive regional economies.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Economists occupations: 16 years and over (LEU0254534800A) from 2000 to 2011 about second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Economists occupations: 16 years and over: Women (LEU0254748400A) from 2000 to 2011 about second quartile, occupation, full-time, females, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Context:

The Current Employment Statistics (CES) program provides estimates of employment, hours, and earnings information on a national basis and in considerable industry detail. The Bureau of Labor Statistics collects payroll data each month from a sample of business and government establishments in all nonfarm activities.

Employment data include series for total employment, number of women employees, and number of production or nonsupervisory employees. Estimates of average hourly earnings, average weekly hours, average weekly earnings, and average weekly overtime hours are produced for both all employees and for production or nonsupervisory employees. Overtime hours are produced for manufacturing industries only.

A sample of approximately 147,000 businesses and government agencies representing approximately 634,000 worksites throughout the United States is utilized for this monthly survey. The sample contains about 300,000 employer units.

All employment, hours and earnings series are classified according to the 2012 North American Industry Classification System (NAICS). The industry code used in the survey corresponds to the NAICS code, except in those cases where multiple industries have been combined.

Content:

Please refer to ce.txt for a description of how to parse and use the unique identifiers.

This dataset was collected on June 27th, 2017 and may not be up-to-date.

Summary of Data Available: For all employees, women employees, and production or nonsupervisory employees, CES publishes about 4,300 monthly series. The series for all employees cover more than 900 industries on both a seasonally adjusted and not seasonally adjusted basis.

For private-sector industries, nearly 7,500 series are published each month for average weekly earnings, average hourly earnings, average weekly hours, and, in manufacturing, average weekly overtime hours. Hours and earnings data for all employees are available for about 620 industries and for production or nonsupervisory employees about 550 industries.

From the employment, hours, and earnings series, CES produces about 7,500 derivative series, such as indexes and real earnings series.

Most employment series begin in 1990, although some series, including industry supersectors, are available from 1939. Supersectors include: mining and logging; construction; manufacturing; trade, transportation, and utilities; information; financial activities; professional and business services, education and health services; leisure and hospitality, other services, and government.

Frequency of Observations: Data series are monthly in most cases; quarterly averages are available for total employment, average weekly hours, and average overtime hours, seasonally adjusted (datatypes 19, 20, 25, 36, and 37).

Annual averages are available for all series that are not adjusted for seasonality (except for the 12-month diffusion index series).

Data Characteristics: Earnings are measured in dollars and are published to the nearest cent (two decimal places). Average weekly and overtime hours are measured in hours and are published to the nearest tenth of an hour (one decimal place).

Employment is measured in thousands of workers and is stored with no decimal place for all supersectors and for both durable goods and nondurable goods in manufacturing. Employment for all other industries are stored to one decimal place.

Special characteristics of the data are footnoted where necessary. For example; I indicates that the seasonally adjusted series is independently seasonally adjusted and not used in aggregating to higher summary industries. For all employees, higher summary series, such as total nonfarm, are aggregated up from the 3-digit NAICS level.

Each year with the release of January estimates in February, CES data are re-anchored to universe counts of nonfarm employment or benchmarks for the most recent March. For example, CES introduced March 2016 benchmark counts with the release of January 2017 first preliminary estimates in February 2017. On a not seasonally adjusted basis, all series are subject to revision back to the prior year’s benchmarked data (21 mon...

The National Longitudinal Surveys (NLS) are a set of surveys designed to gather information at multiple points in time on the labor market activities and other significant life events of several groups of men and women. For more than 4 decades, NLS data have served as an important tool for economists, sociologists, and other researchers. For more information and data visit: https://www.bls.gov/nls/

Context

In May 2020, the United States suffered one of the largest single-month job losses in its history as state and local government imposed public policy measures to slow the spread of the COVID-19 virus which, in many cases, forced businesses to close or significantly curtail business activity. But not all counties experienced job losses compared to the prior year. Instead, some supported job gains. Can location quotients, which measure the importance of jobs in specific industries, be efficient predictors of job losses? Are there certain businesses, or groups of businesses, that had an effect on job gains/losses?

Content

The file data.csv contains Quarterly Census of Employment and Wage data published by the U.S. Bureau of Labor Statistics (https://www.bls.gov/cew/). The data is combined data from 2019 and May 2020, for each county, or county-equivalent, in the U.S.

area_fips: FIPS codes for U.S. county and county-equivalent entities area_title: Name of county may2020_empl_yy_pc: Year-over-year percent change in county total employment in May 2020 may2020_empl: Count of total employment in May 2020 naics_1111 to naics_9999: Employment concentration/location quotient for each 4-digit NAICS sectors. A location quotient less than 1.0 indicates that the count's share of sector employment to total employment is lower than the same ratio in the U.S overall, while a location quotient greater than 1.0 means that the county's share of sector employment to total employment is higher than the U.S. ratio. A description of the NAICS 4-digit numeric codes can be found at https://www.bls.gov/cew/classifications/industry/industry-titles.htm.

Consumer Price Index - CPI, All Urban Consumers (Current Series).

Summaries (item_code SA0, SAF, SAH, SAA, SAT, SAM, SAR, SAE, SAG, SAS, SAC).

Info: https://download.bls.gov/pub/time.series/cu/cu.txt

Data source: U.S. Bureau of Labor Statistics (https://www.bls.gov/)

Economics: National Ocean Watch (ENOW) contains annual time-series data for over 400 coastal counties, 30 coastal states, 8 regions, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis. It describes six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross Domestic Product (GDP). Nonemployer Statistics for Economics: National Ocean Watch (ENOW NES) contains annual time-series data for over 400 coastal counties, 30 coastal states, and the nation, derived from the United States Census Bureau. ENOW NES data report the number of nonemployer establishments and gross receipts, within the six sectors of the ocean and Great Lakes economy.

Bureau of Labor Statistics Industrialized Countries - Import Price Index: Sawmills and wood preservation for Industrialized Countries was 188.70000 Index 2010=100 in December of 2020, according to the United States Federal Reserve. Historically, Bureau of Labor Statistics Industrialized Countries - Import Price Index: Sawmills and wood preservation for Industrialized Countries reached a record high of 263.30000 in September of 2020 and a record low of 83.00000 in October of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for Bureau of Labor Statistics Industrialized Countries - Import Price Index: Sawmills and wood preservation for Industrialized Countries - last updated from the United States Federal Reserve on November of 2025.

Bureau of Labor Statistics Asian Newly Industrialized Countries - Import Price Index: Electrical equipment, appliance, and component manufacturing for Asian Newly Industrialized Countries was 95.90000 Index 2010=100 in December of 2020, according to the United States Federal Reserve. Historically, Bureau of Labor Statistics Asian Newly Industrialized Countries - Import Price Index: Electrical equipment, appliance, and component manufacturing for Asian Newly Industrialized Countries reached a record high of 104.40000 in March of 2013 and a record low of 91.10000 in November of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Bureau of Labor Statistics Asian Newly Industrialized Countries - Import Price Index: Electrical equipment, appliance, and component manufacturing for Asian Newly Industrialized Countries - last updated from the United States Federal Reserve on November of 2025.

In 1990, the unemployment rate of the United States stood at 5.6 percent. Since then there have been many significant fluctuations to this number - the 2008 financial crisis left millions of people without work, as did the COVID-19 pandemic. By the end of 2022 and throughout 2023, the unemployment rate came to 3.6 percent, the lowest rate seen for decades. However, 2024 saw an increase up to four percent. For monthly updates on unemployment in the United States visit either the monthly national unemployment rate here, or the monthly state unemployment rate here. Both are seasonally adjusted. UnemploymentUnemployment is defined as a situation when an employed person is laid off, fired or quits his work and is still actively looking for a job. Unemployment can be found even in the healthiest economies, and many economists consider an unemployment rate at or below five percent to mean there is 'full employment' within an economy. If former employed persons go back to school or leave the job to take care of children they are no longer part of the active labor force and therefore not counted among the unemployed. Unemployment can also be the effect of events that are not part of the normal dynamics of an economy. Layoffs can be the result of technological progress, for example when robots replace workers in automobile production. Sometimes unemployment is caused by job outsourcing, due to the fact that employers often search for cheap labor around the globe and not only domestically. In 2022, the tech sector in the U.S. experienced significant lay-offs amid growing economic uncertainty. In the fourth quarter of 2022, more than 70,000 workers were laid off, despite low unemployment nationwide. The unemployment rate in the United States varies from state to state. In 2021, California had the highest number of unemployed persons with 1.38 million out of work.