Labor Force Participation Rate in Puerto Rico increased to 45.40 percent in December from 45.20 percent in November of 2025. This dataset provides - Puerto Rico Labor Force Participation Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The number of employed people in Puerto Rico amounted to 1.15 million people in 2024. From 1980 to 2024, the number rose by 392,000 people, though the increase followed an uneven trajectory rather than a consistent upward trend. Between 2024 and 2026, the number will decrease by 29,000 people.The indicator describes the number of employed people. This refers to persons who during a pre-defined period, either: a) performed wage or salary work, b) held a formal attachment to their job (even if not currently working), (c) performed for-profit work for personal or family gain , (d) were with an enterprise although temporarily not at work for any specific reason.

Graph and download economic data for Civilian Labor Force in Puerto Rico (LAUST720000000000006A) from 1976 to 2024 about Puerto Rico, civilian, labor force, household survey, and labor.

Employment to population ratio, ages 15-24, total (%) (modeled ILO estimate) in Puerto Rico was reported at 19.61 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Puerto Rico - Employment to population ratio, ages 15-24, total - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2026.

The employment level in services as a share of total employment in Puerto Rico stood at 84.14 percent in 2025. Between 1991 and 2025, the share rose by 11.84 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

Employment in services (% of total employment) (modeled ILO estimate) in Puerto Rico was reported at 86.8 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Puerto Rico - Employment in services (% of total employment) - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2026.

Approximately **** percent of the employed population of Puerto Rico held “paid employment jobs” in 2019, or jobs where they held employment contracts with right to basic remuneration. This figure has been continuously decreasing since 2017. Whereas, the share of own-account workers in the country has increased lately. Nevertheless, the share of employees in Puerto Rico's workforce was among the highest in Latin America and Caribbean countries that year.

This map uses an archive of Version 1.0 of the CEJST data as a fully functional GIS layer. See an archive of the latest version of the CEJST tool using Version 2.0 of the data released in December 2024 here.This map assesses and identifies communities that are Workforce Disadvantaged according to Justice40 Initiative criteria. "Communities are identified as disadvantaged if they are in census tracts that:ARE at or above the 90th percentile for linguistic isolation OR low median income OR poverty OR unemploymentAND fewer than 10% of people ages 25 or older have a high school education (i.e. graduated with a high school diploma)"Census tracts in the U.S. and its territories that meet the criteria are shaded in blue colors. Suitable for dashboards, apps, stories, and grant applications.Details of the assessment are provided in the popup for every census tract in the United States and its territories American Samoa, Guam, the Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands. This map uses 2010 census tracts from Version 1.0 of the source data downloaded November 22, 2022.Use this map to help plan for grant applications, to perform spatial analysis, and to create informative dashboards and web applications.From the source:This data "highlights disadvantaged census tracts across all 50 states, the District of Columbia, and the U.S. territories. Communities are considered disadvantaged:If they are in census tracts that meet the thresholds for at least one of the tool’s categories of burden, orIf they are on land within the boundaries of Federally Recognized TribesCategories of BurdensThe tool uses datasets as indicators of burdens. The burdens are organized into categories. A community is highlighted as disadvantaged on the CEJST map if it is in a census tract that is (1) at or above the threshold for one or more environmental, climate, or other burdens, and (2) at or above the threshold for an associated socioeconomic burden.In addition, a census tract that is completely surrounded by disadvantaged communities and is at or above the 50% percentile for low income is also considered disadvantaged.Census tracts are small units of geography. Census tract boundaries for statistical areas are determined by the U.S. Census Bureau once every ten years. The tool utilizes the census tract boundaries from 2010. This was chosen because many of the data sources in the tool currently use the 2010 census boundaries."PurposeThe goal of the Justice40 Initiative is to provide 40 percent of the overall benefits of certain Federal investments in [eight] key areas to disadvantaged communities. These [eight] key areas are: climate change, clean energy and energy efficiency, clean transit, affordable and sustainable housing, training and workforce development, the remediation and reduction of legacy pollution, [health burdens] and the development of critical clean water infrastructure." Source: Climate and Economic Justice Screening tool"Sec. 219. Policy. To secure an equitable economic future, the United States must ensure that environmental and economic justice are key considerations in how we govern. That means investing and building a clean energy economy that creates well‑paying union jobs, turning disadvantaged communities — historically marginalized and overburdened — into healthy, thriving communities, and undertaking robust actions to mitigate climate change while preparing for the impacts of climate change across rural, urban, and Tribal areas. Agencies shall make achieving environmental justice part of their missions by developing programs, policies, and activities to address the disproportionately high and adverse human health, environmental, climate-related and other cumulative impacts on disadvantaged communities, as well as the accompanying economic challenges of such impacts. It is therefore the policy of my Administration to secure environmental justice and spur economic opportunity for disadvantaged communities that have been historically marginalized and overburdened by pollution and underinvestment in housing, transportation, water and wastewater infrastructure, and health care." Source: Executive Order on Tackling the Climate Crisis at Home and AbroadUse of this Data"The pilot identifies 21 priority programs to immediately begin enhancing benefits for disadvantaged communities. These priority programs will provide a blueprint for other agencies to help inform their work to implement the Justice40 Initiative across government." Source: The Path to Achieving Justice 40

The LEHD Origin-Destination Employment Statistics (LODES) datasets are released at the Census block level in a series of state-based files available for download here: http://lehd.ces.census.gov/data/#lodes. This is the same data as what is available on Census’ OnTheMap application: http://onthemap.ces.census.gov/.

The Longitudinal Employer-Household Dynamics (LEHD) program is part of the Center for Economic Studies at the U.S. Census Bureau. The LEHD program combines federal, state and Census Bureau data on employers and employees under the Local Employment Dynamics (LED) Partnership. Under the LED partnership, states share Unemployment Insurance earnings data and the Quarterly Census of Employment and Wages (QCEW) data with the Census. Census combines these data with additional federal administrative data, Census data, and surveys. The LEHD program also creates a partially synthetic dataset on workers’ residential patterns, offering a dynamic link showing where people live and where they work.

LED was built state by state, and a handful of state-year combinations are not available. These include Alaska (2017-2021), Arizona (2002, 2003), Arkansas (2002, 2019-2021), the District of Columbia (2002-2009), Massachusetts (2002-2010), Mississippi (2002 , 2003, 2019-2021), New Hampshire (2002), Puerto Rico (all years), and the U.S. Virgin Islands (all years). Data on the resident workforce exists for these locations but are not included on PolicyMap due to their incompleteness. The resident workforce values for these missing state-year combinations only show residents who live in these states but work elsewhere. For more on the LED Partnership see: http://lehd.ces.census.gov/state_partners/.

Federal employment is not counted in state Unemployment Insurance data, and as a result federal employment was not included in LEHD until 2010. Data shown by default on PolicyMap does not contain federal employment. However, additional variables in the legend allow users to see data with federal employment included for years 2010 onwards. In order to calculate percent changes in employment and workforce numbers, PolicyMap subtracted federal employment from certain indicators (as noted) from 2010 to the most recent years available.

Some demographic variables were introduced in 2009, including race, ethnicity, educational attainment, and sex. Because of the incomparability of the data between 2009 and 2010 with the introduction of Federal employment, PolicyMap chose to begin mapping these additional indicators in 2010. LODES data are released at the 2020 Census tabulation block geographies and PolicyMap aggregated up to the larger geographies using Census provided relationship tables. PolicyMap displays all LEHD data at the TIGER 2010 boundary geographies, except CBSAs, which are shown at 2019 geographies, and congressional districts, which are shown at the 116th congressional districts.

The average for 2024 based on 20 countries was 50.98 percent. The highest value was in Bolivia: 72.46 percent and the lowest value was in Puerto Rico: 32.41 percent. The indicator is available from 1990 to 2024. Below is a chart for all countries where data are available.

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.

A dataset that combines federal and state administrative data on employers and employees with core Census Bureau censuses and surveys, while protecting the confidentiality of people and firms that provide the data. This data infrastructure facilitates longitudinal research applications in both the household / individual and firm / establishment dimensions. The specific research is targeted at filling an important gap in the available data on older workers by providing information on the demand side of the labor market. These datasets comprise Title 13 protected data from the Current Population Surveys, Surveys of Income and Program Participation, Surveys of Program Dynamics, American Community Surveys, the Business Register, and Economic Censuses and Surveys. With few exceptions, states have partnered with the Census Bureau to share data. As of December 2008, Connecticut, Massachusetts, New Hampshire and Puerto Rico have not signed a partnership agreement, while a partnership with the Virgin Islands is pending. LEHD's second method of developing employer-employee data relations through the use of federal tax data has been completed. LEHD has produced summary tables on accessions, separation, job creation, destruction and earnings by age and sex of worker by industry and geographic area. The data files consist of longitudinal datasets on all firms in each participating state (quarterly data, 1991- 2003), with information on age, sex, turnover, and skill level of the workforce as well as standard information on employment, payroll, sales and location. These data can be accessed for all available states from the Project Website. Data Availability: Research conducted on the LEHD data and other products developed under this proposal at the Census Bureau takes place under a set of rules and limitations that are considerably more constraining than those prevailing in typical research environments. If state data are requested, the successful peer-reviewed proposals must also be approved by the participating state. If federal tax data are requested, the successful peer-reviewed proposals must also be approved by the Internal Revenue Service. Researchers using the LEHD data will be required to obtain Special Sworn Status from the Census Bureau and be subject to the same legal penalties as regular Census Bureau employees for disclosure of confidential information. Basic instructions on how to download the data files and restrictions can be found on the Project Website. * Dates of Study: 1991-present * Study Features: Longitudinal * Sample Size: 48 States or U.S. territories

The Occupational Employment and Wage Statistics (OEWS) Survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). The 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 OEWS survey make these estimates possible. The OEWS survey collects data from a sample of establishments and calculates employment and wage estimates by occupation, industry, and geographic area. The semiannual survey covers all non-farm industries. Data are collected by the Employment Development Department in cooperation with the Bureau of Labor Statistics, US Department of Labor. The OEWS Program estimates employment and wages for approximately 830 occupations. It also produces employment and wage estimates for statewide, Metropolitan Statistical Areas (MSAs), and Balance of State areas. Estimates are a snapshot in time and should not be used as a time series. The OEWS estimates are published annually. SOURCE: https://www.bls.gov/oes/oes_emp.htm

The Climate and Econmic Justice Screening Tool (CEJST) was developed by the Council on Environmental Quality to identify disadvantaged communities that face burdens across eight categories: climate change, energy, health, housing, legacy pollution, transportation, water and wastewater, and workforce development. CEJST is intended to be used for the Justice40 Initiative, which aims to deliver 40% of certain Federal investments to these disadvantaged communities. Federal investments include clean energy infrastructure, affordable and sustainable housing, and remediation of legacy pollution among others. CEJST combines a number of publicly available national datasets to identify disadvantaged communities as described below.

Disadvantaged Communities Census tracts are considered disadvantaged if they meet the thresholds for at least one of the CEJST categories of burden OR if they are on land within the boundaries of Federally Recognized Tribes. Meeting one of the CEJST categories of burden requires that a tract be at or above specified thresholds for one or more environmental, climate, housing, health or other burdens AND be at or above the threshold for an associated socioeconomic burden (eg. low income or low educational attainment). Additionally, a census tract that is completely surrounded by disadvantaged communities and is at or above the 50th percentile for low income is also considered disadvantaged.
Guam, the U.S. Virgin Islands, American Samoa, and the Northern Mariana Islands: For these U.S. territories, the tool uses the following data: unemployment, poverty, low median income, and high school education. These burdens are in the workforce development category. The CEJST uses a slightly different methodology to calculate the relevant percentiles for Guam, the U.S. Virgin Islands, American Samoa and the Northern Mariana Islands because the relevant data are from the 2010 American Community Survey, which is not used for the other regions. CEJST uses data from the U.S. Census’s American Community Survey (2015-2019) for all U.S. states, the District of Columbia, and Puerto Rico. For more information, please access the CEJST Technical Support Document.