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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Government Payrolls in the United States increased by 22 thousand in September of 2025. This dataset provides the latest reported value for - United States Government Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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TwitterThis dataset contains annual average CES data for California statewide and areas from 1990 to 2024. The Current Employment Statistics (CES) program is a Federal-State cooperative effort in which monthly surveys are conducted to provide estimates of employment, hours, and earnings based on payroll records of business establishments. The CES survey is based on approximately 119,000 businesses and government agencies representing approximately 629,000 individual worksites throughout the United States. CES data reflect the number of nonfarm, payroll jobs. It includes the total number of persons on establishment payrolls, employed full- or part-time, who received pay (whether they worked or not) for any part of the pay period that includes the 12th day of the month. Temporary and intermittent employees are included, as are any employees who are on paid sick leave or on paid holiday. Persons on the payroll of more than one establishment are counted in each establishment. CES data excludes proprietors, self-employed, unpaid family or volunteer workers, farm workers, and household workers. Government employment covers only civilian employees; it excludes uniformed members of the armed services. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The Current Employment Statistics (CES) program is a Federal-State cooperative effort in which monthly surveys are conducted to provide estimates of employment, hours, and earnings based on payroll records of business establishments. The CES survey is based on approximately 119,000 businesses and government agencies representing approximately 629,000 individual worksites throughout the United States.
CES data reflect the number of nonfarm, payroll jobs. It includes the total number of persons on establishment payrolls, employed full- or part-time, who received pay (whether they worked or not) for any part of the pay period that includes the 12th day of the month. Temporary and intermittent employees are included, as are any employees who are on paid sick leave or on paid holiday. Persons on the payroll of more than one establishment are counted in each establishment. CES data excludes proprietors, self-employed, unpaid family or volunteer workers, farm workers, and household workers. Government employment covers only civilian employees; it excludes uniformed members of the armed services.
The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.
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Twitterhttps://www.usa.gov/government-workshttps://www.usa.gov/government-works
This dataset contains Iowa civilian employed population estimate for individuals 16 years or older by by sex and class of worker for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B24080.
Sex includes the following: Both, Male, and Female.
Class of Worker includes the following: All Classes; Private-for-Profit Wage and Salary Workers; Private-for-Profit Wage and Salary Workers, Employee; Private-for-Profit Wage and Salary Workers, Self-Employed in Own INC; Private Not-for-Profit Wage and Salary Workers; Local Government Workers; State Government Workers; Federal Government Workers; Self-Employed; and Unpaid Family Workers.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Jobless Claims - Federal Workers in the United States increased to 635 People in September 13 from 572 People in the previous week. This dataset includes a chart with historical data for the United States Initial Jobless Claims - Federal Workers.
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TwitterThe Quarterly Census of Employment and Wages (QCEW) program serves as a near census of employment and wage information. The program produces a comprehensive tabulation of employment and wage information for workers covered by Connecticut Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Data on the number of establishments, employment, and wages are reported by industry for Connecticut and for the counties, towns and Labor Market Areas (LMAs) and Workforce Investment Areas (WIAs).
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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
Bureau of Labor Statistics including CPI (inflation), employment, unemployment, and wage data.
Update Frequency: Monthly
Fork this kernel to get started.
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.
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?
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TwitterUSASpending.gov is the government's official tool for tracking spending, it shows where money goes and who benefits from federal funds.
The Federal Funding Accountability and Transparency Act of 2006 required that federal contract, grant, loan awards over $25k be searchable online to give the American public access to government spending. The data that is collected in USAspending.gov is derived from data gathered at more than a hundred agencies, as well as other government systems. Federal agencies submit contracts, grants, loans and other awards information to be uploaded on USAspending.gov at least twice a month.
The United States spends a lot of money on contracts every year but where does it all go? This data set has information about how much different agencies have spent on awards for the fiscal year 2021. More data can be downloaded, for other years, on USAspending.gov.
Contracts are published to the GSA's Federal Procurement Data System within five days of being awarded, with contract reporting automatically getting posted on USAspending.gov by 9 AM the next day and going live at 8:00 am EST two mornings later
Learn more about the contents here: https://www.usaspending.gov/data-dictionary
The Bureau of the Fiscal Service, United States Department of the Treasury, is dedicated to making government spending data available to everyone.
This data starts off separated into smaller files that need to be joined.
The federal government buys a lot of things, like office furniture and aircraft. It also buys services, like telephone and Internet access. The Federal Government and its sub-agencies use contracts to buy these things. They use Product and Service Codes (PSC) to classify the items and services they purchase.
An obligation is a promise to spend money. An outlay is when the government spends money. When the government enters into a contract or grant, it promises to spend all of the money. This is so it can pay people who do what they agreed to do. When the government actually pays someone, then it counts as an outlay.
There are many different variables in this database, which are spread across multiple files. The most important ones to start learning are:
To learn more about the data, you can reference the data dictionary. The data dictionary includes information on outlays, which are not included in the data provided here. https://www.usaspending.gov/data-dictionary
Please see the analysts guide for more information: https://datalab.usaspending.gov/analyst-guide/
The U.S. Department of the Treasury, Bureau of the Fiscal Service is committed to providing open data to enable effective tracking of federal spending. The data is available to copy, adapt, redistribute, or otherwise use for non-commercial or for commercial purposes, subject to the Limitation on Permissible Use of Dun & Bradstreet, Inc. Data noted on the homepage. https://www.usaspending.gov/db_info
USAspending.gov collects data from all over the government to provide information to the public. Special thanks for the Data Transparency Team within the Office of the Chief Data Officer at the Bureau of Fiscal Services.
Can we find any patterns to help the public? How about predicting future spending needs or opportunities? Test out your ideas here!
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TwitterThis dataset was created by Manuel Juarez
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TwitterEmployed persons include people aged 16 years and older in the civilian noninstitutional population who did any work at all as paid employees; worked in their own business, profession, or on their own farm, or worked 15 hours or more as unpaid workers in an enterprise operated by a member of the family; and all those who were not working but who had jobs or businesses from which they were temporarily absent. The Bureau of Labor Statistics produces industry estimates of nonfarm payroll employment as part of the Current Population Survey.
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TwitterSource ID: FL313066220.Q
For more information about the Flow of Funds tables, see: https://www.federalreserve.gov/apps/fof/Default.aspx
For a detailed description, including how this series is constructed, see: https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL313066220&t=
This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!
Update Frequency: This dataset is updated daily.
Observation Start: 1945-10-01
Observation End : 2019-04-01
This dataset is maintained using FRED's API and Kaggle's API.
Cover photo by Michael on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
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TwitterFacebook received 73,390 user data requests from federal agencies and courts in the United States during the second half of 2023. The social network produced some user data in 88.84 percent of requests from U.S. federal authorities. The United States accounts for the largest share of Facebook user data requests worldwide.
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TwitterThe labor force participation rate is the percentage of the population that is either employed or unemployed (that is, either working or actively seeking work). People with jobs are employed. People who are jobless, looking for a job, and available for work are unemployed. The labor force is made up of the employed and the unemployed. People who are neither employed nor unemployed are not in the labor force.
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TwitterContinued Claims for UI released by the CT Department of Labor. Continued Claims are total number of individuals being paid benefits in any particular week. Claims data can be access directly from CT DOL here: https://www1.ctdol.state.ct.us/lmi/claimsdata.asp
Claims are disaggregated by age, education, industry, race/national origin, sex, and wages.
The claim counts in this dataset may not match claim counts from other sources.
Unemployment claims tabulated in this dataset represent only one component of the unemployed. Claims do not account for those not covered under the Unemployment system (e.g. federal workers, railroad workers or religious workers) or the unemployed self-employed.
Claims filed for a particular week will change as time goes on and the backlog is addressed.
For data on continued claims at the town level, see the dataset "Continued Claims for Unemployment Benefits by Town" here: https://data.ct.gov/Government/Continued-Claims-for-Unemployment-Benefits-by-Town/r83t-9bjm
For data on initial claims see the following two datasets:
"Initial Claims for Unemployment Benefits in Connecticut," https://data.ct.gov/Government/Initial-Claims-for-Unemployment-Benefits/j3yj-ek9y
"Initial Claims for Unemployment Benefits by Town," https://data.ct.gov/Government/Initial-Claims-for-Unemployment-Benefits-by-Town/twvc-s7wy
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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TwitterEmployed persons include people aged 16 years and older in the civilian noninstitutional population who did any work at all as paid employees; worked in their own business, profession, or on their own farm, or worked 15 hours or more as unpaid workers in an enterprise operated by a member of the family; and all those who were not working but who had jobs or businesses from which they were temporarily absent. The Bureau of Labor Statistics produces industry estimates of nonfarm payroll employment as part of the Current Population Survey.
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TwitterThis page focuses on monthly employment in the transportation and warehousing sector and breaks them down by transportation mode and by women workers.
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TwitterList of the data tables as part of the Immigration system statistics Home Office release. Summary and detailed data tables covering the immigration system, including out-of-country and in-country visas, asylum, detention, and returns.
If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.
The Microsoft Excel .xlsx files may not be suitable for users of assistive technology.
If you use assistive technology (such as a screen reader) and need a version of these documents in a more accessible format, please email MigrationStatsEnquiries@homeoffice.gov.uk
Please tell us what format you need. It will help us if you say what assistive technology you use.
Immigration system statistics, year ending September 2025
Immigration system statistics quarterly release
Immigration system statistics user guide
Publishing detailed data tables in migration statistics
Policy and legislative changes affecting migration to the UK: timeline
Immigration statistics data archives
https://assets.publishing.service.gov.uk/media/691afc82e39a085bda43edd8/passenger-arrivals-summary-sep-2025-tables.ods">Passenger arrivals summary tables, year ending September 2025 (ODS, 31.5 KB)
‘Passengers refused entry at the border summary tables’ and ‘Passengers refused entry at the border detailed datasets’ have been discontinued. The latest published versions of these tables are from February 2025 and are available in the ‘Passenger refusals – release discontinued’ section. A similar data series, ‘Refused entry at port and subsequently departed’, is available within the Returns detailed and summary tables.
https://assets.publishing.service.gov.uk/media/691b03595a253e2c40d705b9/electronic-travel-authorisation-datasets-sep-2025.xlsx">Electronic travel authorisation detailed datasets, year ending September 2025 (MS Excel Spreadsheet, 58.6 KB)
ETA_D01: Applications for electronic travel authorisations, by nationality
ETA_D02: Outcomes of applications for electronic travel authorisations, by nationality
https://assets.publishing.service.gov.uk/media/6924812a367485ea116a56bd/visas-summary-sep-2025-tables.ods">Entry clearance visas summary tables, year ending September 2025 (ODS, 53.3 KB)
https://assets.publishing.service.gov.uk/media/691aebbf5a253e2c40d70598/entry-clearance-visa-outcomes-datasets-sep-2025.xlsx">Entry clearance visa applications and outcomes detailed datasets, year ending September 2025 (MS Excel Spreadsheet, 30.2 MB)
Vis_D01: Entry clearance visa applications, by nationality and visa type
Vis_D02: Outcomes of entry clearance visa applications, by nationality, visa type, and outcome
Additional data relating to in country and overse
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Government Electronic Directory Services (GEDS) provides public access to Government of Canada employee contact information as provided by participating departments. Encoded with the Latin Alphabet 1 (ISO 8859-1) character set. This is the dataset that contains all of the raw data within the Government of Canada Employee Contact Information system, not the searchable lookup. To search for contact information, please go to Government Electronic Directory Services (GEDS). (http://geds.gc.ca)
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset is provided by the federal department of education. It includes graduation rates for all schools in the United States.
Some points: This data is pre-cleaned. The data contained has many NA's. Furthermore, in many cases, the numbers 95, 90, and 85 are the lower of a range of numbers.
Code is provided at the following link:
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Government Payrolls in the United States increased by 22 thousand in September of 2025. This dataset provides the latest reported value for - United States Government Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.