Consumer Price Index (CPI): Industrial Workers: 2016=100: Weights: Chandigarh: Chandigarh: Total data was reported at 100.000 % in Oct 2025. This stayed constant from the previous number of 100.000 % for Sep 2025. Consumer Price Index (CPI): Industrial Workers: 2016=100: Weights: Chandigarh: Chandigarh: Total data is updated monthly, averaging 100.000 % from Sep 2020 (Median) to Oct 2025, with 62 observations. The data reached an all-time high of 100.000 % in Oct 2025 and a record low of 100.000 % in Oct 2025. Consumer Price Index (CPI): Industrial Workers: 2016=100: Weights: Chandigarh: Chandigarh: Total data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under India Premium Database’s Inflation – Table IN.IF: Consumer Price Index: Industrial Workers: 2016=100: by Centre-wise: by Group-wise: Weights.

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?

The Quarterly Census of Employment and Wages (QCEW) program is a cooperative program involving the Bureau of Labor Statistics (BLS) of the United States Department of Labor and the State Employment Security Agencies (SESAs). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by State unemployment insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Publicly available data files include information on the number of establishments, monthly employment, and quarterly wages, by NAICS industry, by county, by ownership sector, for the entire United States. These data are aggregated to annual levels, to higher industry levels (NAICS industry groups, sectors, and supersectors), and to higher geographic levels (national, State, and Metropolitan Statistical Area (MSA)). To download and analyze QCEW data, users can begin on the QCEW Databases page. Downloadable data are available in formats such as text and CSV. Data for the QCEW program that are classified using the North American Industry Classification System (NAICS) are available from 1990 forward, and on a more limited basis from 1975 to 1989. These data provide employment and wage information for arts-related NAICS industries, such as: Arts, entertainment, and recreation (NAICS Code 71) Performing arts and spectator sports Museums, historical sites, zoos, and parks Amusements, gambling, and recreation Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic design services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, book and music stores Book, periodical, and music stores Art dealers For years 1975-2000, data for the QCEW program provide employment and wage information for arts-related industries are based on the Standard Industrial Classification (SIC) system. These arts-related SIC industries include the following: Book stores (SIC 5942) Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums, Botanical, Zoological Gardens (SIC Code 84) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Services (SIC Code 78) The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit NAICS industry at the national, state, and county levels. At the national level, the QCEW program provides employment and wage data for almost every NAICS industry. At the State and area level, the QCEW program provides employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. Employment data under the QCEW program represent the number of covered workers who worked during, or received pay for, the pay period including the 12th of the month. Excluded are members of the armed forces, the self-employed, proprietors, domestic workers, unpaid family workers, and railroad workers covered by the railroad unemployment insurance system. Wages represent total compensation paid during the calendar quarter, regardless of when services were performed. Included in wages are pay for vacation and other paid leave, bonuses, stock options, tips, the cash value of meals and lodging, and in some States, contributions to deferred compensation plans (such as 401(k) plans). The QCEW program does provide partial information on agricultural industries and employees in private households. Data from the QCEW program serve as an important source for many BLS programs. The QCEW data are used as the benchmark source for employment by the Current Employment Statistics program and the Occupational Employment Statistics program. The UI administrative records collected under the QCEW program serve as a sampling frame for BLS establishment surveys. In addition, data from the QCEW program serve as a source to other Federal and State programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses QCEW data as the base for developing the wage and salary component of personal income. The Employment and Training Administration (ETA) of the Department of Labor and the SESAs use QCEW data to administer the employment security program. The QCEW data accurately reflect the ex

Monthly statistics regarding the labor force, employment and unemployment in Mesa and nearby municipalities. Unemployment rate sourced at BLS.gov Data Viewer. Employment Data - Bureau of Labor Statistics - http://www.bls.gov/data/ Local Area Unemployment Statistics (LAUS) - https://www.bls.gov/lau/ (See for next data release dates). To see how these terms are defined and what they include, please visit the Terms Glossary from the United State Department of Labor’s Bureau of Labor Statistics (BLS), which can be found at the following web address: http://www.bls.gov/bls/glossary.htm

Consumer Price Index (CPI): Industrial Workers: Bhilai data was reported at 347.000 2001=100 in Aug 2020. This records an increase from the previous number of 343.000 2001=100 for Jul 2020. Consumer Price Index (CPI): Industrial Workers: Bhilai data is updated monthly, averaging 111.000 2001=100 from Jan 1989 (Median) to Aug 2020, with 380 observations. The data reached an all-time high of 347.000 2001=100 in Aug 2020 and a record low of 36.000 2001=100 in Mar 1989. Consumer Price Index (CPI): Industrial Workers: Bhilai data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under Global Database’s India – Table IN.IF009: Consumer Price Index: Industrial Workers: 2001=100: by Centre-wise.

Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q2 2025 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

The Occupational Employment Statistics (OES) program conducts a semiannual survey designed to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. The Bureau of Labor Statistics produces occupational employment and wage estimates for approximately 415 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and selected 5- and 6-digit North American Industry Classification System (NAICS) industrial groups. The OES program surveys approximately 200,000 establishments per panel (every six months), taking three years to fully collect the sample of 1.2 million establishments. To reduce respondent burden, the collection is on a three-year survey cycle that ensures that establishments are surveyed at most once every three years. The estimates for occupations in nonfarm establishments are based on OES data collected for the reference months of May and November. The OES survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OES survey make these estimates possible. The OES features several arts-related occupations, particularly in the Arts, Design, Entertainment, Sports, and Media Occupations group (Standard Occupational Classification (SOC) code 27-0000). Several featured occupation groups include the following: Art and Design Workers (SOC 27-1000) Art Directors Fine Artists, including Painters, Sculptors, and Illustrators Multimedia Artists and Animators Fashion Designers Graphic Designers Set and Exhibit Designers Entertainers and Performers, Sports and Related Workers (SOC 27-2000) Actors Producers and Directors Athletes Coaches and Scouts Dancers Choreographers Music Directors and Composers Musicians and Singers Media and Communication Workers (SOC 27-3000) Radio and Television Announcers Reports and Correspondents Public Relations Specialists Writers and Authors Data for years 1997 through the latest release and can be found on the OES Data page. Also, see OES News Releases sections for current estimates and news releases. Users can analyze the data for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. As well, OES Charts are available. Users may also explore data using OES Maps. If preferred, data can also be accessed via the Multi-Screen Data Search or Text Files using the OES Databases page.

Ministry of Labor, Bureau of Labor Funds and its affiliated accounting monthly report

This table provides information on labour price developments, i.e. the development of wage costs per hour worked by employees, corrected for changes in the personnel structure. The labor price index divides the total increase in wage costs per hour worked into a price component and a structural effect.

Data available from: 2001 up to and including 2023.

Status of the figures: Data from 2001 up to and including 2021 are final. The figures concerning 2022 and 2023 are provisional. Since this table has been discontinued, data of 2022 and 2023 will not become final.

Changes as of June 24th 2024: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. New statistical sources and estimation methods have been used during the revision. Therefore this table has been replaced by table Labour price index; index figures 2021=100; National Accounts. For further information see section 3.

When will new figures be published? Not applicable anymore.

Consumer Price Index (CPI): Industrial Workers: Mumbai data was reported at 333.000 2001=100 in Aug 2020. This stayed constant from the previous number of 333.000 2001=100 for Jul 2020. Consumer Price Index (CPI): Industrial Workers: Mumbai data is updated monthly, averaging 117.000 2001=100 from Jan 1989 (Median) to Aug 2020, with 380 observations. The data reached an all-time high of 333.000 2001=100 in Aug 2020 and a record low of 33.000 2001=100 in Apr 1989. Consumer Price Index (CPI): Industrial Workers: Mumbai data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under Global Database’s India – Table IN.IF009: Consumer Price Index: Industrial Workers: 2001=100: by Centre-wise.

Historical information on the Employment Dataset shows several current and historical annual statistics regarding population, the labor force, employment and unemployment in the City of Mesa. Monthly labor force, employment and unemployment information is at https://citydata.mesaaz.gov/External-Data/Employment-and-Labor-Force-Monthly/3vbg-xf63.

Sources: Population Data - United States Census Bureau -https://www.census.gov/topics/population/data.html Employment Data - Bureau of Labor Statistics - http://www.bls.gov/data/ Local Area Unemployment Statistics (LAUS) - https://www.bls.gov/lau/ To see how these terms are defined and what they include, please visit the Terms Glossary from the United State Department of Labor’s Bureau of Labor Statistics (BLS), which can be found at the following web address: http://www.bls.gov/bls/glossary.htm

Context

This is a dataset that I built by scraping the United States Department of Labor's Bureau of Labor Statistics. I was looking for county-level unemployment data and realized that there was a data source for this, but the data set itself hadn't existed yet, so I decided to write a scraper and build it out myself.

Content

This data represents the Local Area Unemployment Statistics from 1990-2016, broken down by state and month. The data itself is pulled from this mapping site:

https://data.bls.gov/map/MapToolServlet?survey=la&map=county&seasonal=u

Further, the ever-evolving and ever-improving codebase that pulled this data is available here:

https://github.com/jayrav13/bls_local_area_unemployment

Acknowledgements

Of course, a huge shoutout to bls.gov and their open and transparent data. I've certainly been inspired to dive into US-related data recently and having this data open further enables my curiosities.

Inspiration

I was excited about building this data set out because I was pretty sure something similar didn't exist - curious to see what folks can do with it once they run with it! A curious question I had was surrounding Unemployment vs 2016 Presidential Election outcome down to the county level. A comparison can probably lead to interesting questions and discoveries such as trends in local elections that led to their most recent election outcome, etc.

Next Steps

Version 1 of this is as a massive JSON blob, normalized by year / month / state. I intend to transform this into a CSV in the future as well.

CPI: Industrial Workers: 2016=100: Assam: Biswanath-Chariali: Clothing & Footwear data was reported at 176.900 2016=100 in Oct 2025. This stayed constant from the previous number of 176.900 2016=100 for Sep 2025. CPI: Industrial Workers: 2016=100: Assam: Biswanath-Chariali: Clothing & Footwear data is updated monthly, averaging 120.500 2016=100 from Sep 2020 (Median) to Oct 2025, with 62 observations. The data reached an all-time high of 176.900 2016=100 in Oct 2025 and a record low of 112.700 2016=100 in Sep 2020. CPI: Industrial Workers: 2016=100: Assam: Biswanath-Chariali: Clothing & Footwear data remains active status in CEIC and is reported by Labour Bureau. The data is categorized under India Premium Database’s Inflation – Table IN.IF: Consumer Price Index: Industrial Workers: 2016=100: by Centre-wise: by Group-wise.

The recent annual budget..........................

The Occupational Employment and Wage Statistics (OEWS) program produces employment and wage estimates annually for approximately 830 occupations. These estimates are available for the nation as a whole, for individual states, and for metropolitan and nonmetropolitan areas; national occupational estimates for specific industries are also available.This resource contains OEWS estimates, including:National (XLSX): 1997-2024State (XLSX): 1997-2024Metropolitan and nonmetropolitan area (XLSX): 1997-2024National industry-specific and by ownership (XLSX): 1997-2024All data: 2011-2024Agricultural data supplement: 2011 onlyEstimates: 1988-1995 (HTML)Also see additional folders for:Research estimates: 2012-2023Featured tables (tables and charts): 2019-2024Additional tables: Various, 2011-2024Note that at present, this scrape does NOT include occupational profiles. This is due to issues scraping the most recent (2024) profiles from the web application. Will update with more clarification on whether we can indeed scrape these profiles, if we'll limit to 2023-and-earlier profiles, add to a separate project, etc.

The data shows the factory employment by industry groups, sections and divisions and the number of working factories and estimated average daily employment at two digit level of NIC02008.

Note: 1. For less than 500 value data entry is blank. 2. Data is based on the returns received by the Labour Bureau. 3. Totals may not tally due to rounding off figures. 4. Data in respect of the industry code not featuring in this table may be treated as 'nil'. 5. Data as in 2012.

View monthly updates and historical trends for US Labor Force Participation Rate. from United States. Source: Bureau of Labor Statistics. Track economic d…

The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

Washington State, metropolitan statistical areas (MSA) and nonmetropolitan areas (NMA), 2020 OEWS is a program of the U.S. Department of Labor, Bureau of Labor Statistics (BLS). This federal-state cooperative program produces employment and wage estimates for nearly 867 occupations. The occupational employment and wage estimates are based on data collected from the OEWS survey. The survey includes employment counts, occupations and wages from more than 4,200 Washington state employers. Data from six survey panels are combined to create a sample size of more than 26,400 employers. Blanks in the data columns indicate suppressed data.

Data on health care employment and wages in the United States, by selected occupations. Data are from Health, United States. Source: U.S. Department of Labor, Bureau of Labor Statistics, Occupational Employment and Wage Statistics. Search, visualize, and download these and other estimates from a wide range of health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.