Introducing Job Posting Datasets: Uncover labor market insights!

Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.

Job Posting Datasets Source:

1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.

2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.

3. StackShare: Access StackShare datasets to make data-driven technology decisions.

Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.

Choose your preferred dataset delivery options for convenience:

Receive datasets in various formats, including CSV, JSON, and more. Opt for storage solutions such as AWS S3, Google Cloud Storage, and more. Customize data delivery frequencies, whether one-time or per your agreed schedule.

Why Choose Oxylabs Job Posting Datasets:

1. Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.

2. Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.

3. Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.

4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.

Labor Market Regions (LMRs) correspond to ten geographic areas of the state, which are defined by the New York State Department of Labor. Counties are the building blocks used to build progressively larger geographic areas for which labor market statistics are reported.

The Labour Force Survey (LFS) is a survey of the population of private households, student halls of residence and NHS accommodation.

In 2024, about 74.86 million men were employed on a full-time basis in the United States. This was a decrease from the previous year when the total number of full-time employed men in the U.S. came to 75.5 million.

This dataset uses seasonally adjusted data from the US Bureau of Labor Statistics to present information on Maryland's labor force participation rate, employment rate, and unemployment rate.

The New York State Department of Labor has ten labor market regions across the state. This dataset lists the counties and their corresponding labor market region.

LABOR MARKET ENGAGEMENT INDEXSummary

The labor market engagement index provides a summary description of the relative intensity of labor market engagement and human capital in a neighborhood. This is based upon the level of employment, labor force participation, and educational attainment in a census tract (i). Formally, the labor market index is a linear combination of three standardized vectors: unemployment rate (u), labor-force participation rate (l), and percent with a bachelor’s degree or higher (b), using the following formula:

Where means and standard errors are estimated over the national distribution. Also, the value for the standardized unemployment rate is multiplied by -1.

Interpretation

Values are percentile ranked nationally and range from 0 to 100. The higher the score, the higher the labor force participation and human capital in a neighborhood.

Data Source: American Community Survey, 2011-2015Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 9.

To learn more about the Labor Market Engagement Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020

Graph and download economic data for Not in Labor Force (LNS15000000) from Jan 1975 to Feb 2025 about 16 years +, labor force, labor, household survey, and USA.

Labour market indicators for UK countries and regions, including employment, unemployment and economic inactivity, rolling three-monthly figures published monthly, seasonally adjusted. Labour Force Survey. These are official statistics in development.

In October 2024, the civilian labor force amounted to 168.48 million people in the United States. The term civilian labor force is used by the U.S. Bureau of Labor Statistics (BLS) to describe the subset of Americans who have jobs or are seeking a job, are at least 16 years old, are not serving in the military, and are not institutionalized.

The Australian Government Department of Jobs and Small Business publishes a range of labour market data on its Labour Market Information Portal website (lmip.gov.au). The link below provides data from the Labour Force Survey conducted by the Australian Bureau of Statistics. The boundaries used in this survey are known as Statistical Area 4 regions. The data provided includes unemployment rate, employment rate, participation rate, youth unemployment rate, unemployment duration, population by age group and employment by industry and occupation.

Arellano-Bover, Jaime, (2022) “The Effect of Labor Market Conditions at Entry on Workers' Long-Term Skills.” Review of Economics and Statistics 104:5, 1028–1045.

Labor Force Participation Rate in India remained unchanged at 50.40 percent in the fourth quarter of 2024 from 50.40 percent in the third quarter of 2024. This dataset provides - India Labor Force Participation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Municipality-level dataset with labor market statistics of the 4 regions studied by CPI, by year and economic sector (agriculture or not), age group, and educational level (dummy variables). Information, which includes several demographic and labor characteristics, was obtained from the Brazilian Population Census (IBGE), released every ~10 years since 1970.

The Employment Projections (EP) program develops information about the labor market for the Nation as a whole for 10 years in the future. For more information visit: https://www.bls.gov/emp/

Graph and download economic data for Labor Force Flows Employed to Unemployed (LNS17400000) from Feb 1990 to Feb 2025 about flow, 16 years +, labor force, labor, unemployment, employment, and USA.

This table contains yearly figures on the attachment of people to the labour market for the special municipalities Bonaire, St. Eustatius and Saba (the Caribbean Netherlands). The population of 15 to 74 years of age (excluding the institutionalized population) is divided into the employed labour force and the non-employed labour force. The employed labour force is subdivided on the basis of whether they want to work more or not. The non-employed labour force is subdivided into the unemployed and those not in the labour force. Those not in the labour force are subdivided based on the search and availability criteria. A division by sex, age and level of education is available.

Data available from: 2012

Status of the figures: The figures in this table are final.

Changes as of 28 June 2023: The figures of 2022 are added.

Changes as of 26 April 2019: The figures of 2018 are added Because of a programming error the figures about wanting to work more hours, and not wanting to work more hours in the previous version of this table were incorrect. Too little people were wrongly assigned to the group who wants to work more hours. This is corrected in this version of the table. The figures about the highest level of education have been revised. The revision concerns people who attended common years of education (avo). Where they previously had an intermediate level of education, they now receive a low level of education, following the format used for the European Netherlands.

When will new figures be published? New figures will be published every two years.

This table contains quarterly and yearly figures on labour participation in the Netherlands. The population of 15 to 74 years of age (excluding the institutionalized population) is divided into the employed labour force, the unemployed labour force and those not in the labour force. The employed labour force is subdivided on the basis of the professional status, and the average working hours. A division by sex, age and level of education is available.

Data available from: 2013

Status of the figures: The figures in this table are final.

Changes as of November 22, 2024: The figures for 3rd quarter 2024 are added.

Changes as of August 23, 2022: None, this is a new table. This table has been compiled on the basis of the Labor Force Survey (LFS). Due to changes in the research design and the questionnaire of the LFS, the figures for 2021 are not automatically comparable with the figures up to and including 2020. The key figures in this table have therefore been made consistent with the (non-seasonally adjusted) figures in the table Arbeidsdeelname, kerncijfers seizoengecorrigeerd (see section 4), in which the outcomes for the period 2013-2020 have been recalculated to align with the outcomes from 2021. When further detailing the outcomes according to job and personal characteristics, there may nevertheless be differences from 2020 to 2021 as a result of the new method.

When will new figures be released? New figures will be published on February, 2025.

Statistics Norway established the Labor Force Survey (LFS) in 1972, and it has been conducted quarterly ever since. The LFS measures the population's participation in the labor market and provides comprehensive information on unemployment, employment, people outside the labor force, temporary employees, underemployed and other subgroups that are not captured by register-based statistics. This makes the LFS one of the most important sources of information about conditions in the Norwegian labor market.

Right from the start, the aim has been to ensure that the survey is comparable with similar surveys internationally. Today, the LFS is designed in accordance with the EU's statistical regulations to ensure consistent and comparable European statistics. The LFS data contains long time series, and although there have been some breaks in the time series due to changes in the questionnaire and data collection, the most central variables have been continuously included since the start. This makes it possible to present time series data for the employed, unemployed and people outside the labor force all the way back to 1972.

The annual datasets include annual and two-year variables and are only asked to individuals interviewed for the 2nd and 6th time. In even-numbered years, questions about education and health are included. This dataset includes questions related to the Learning Conditions Monitor.