The median earnings of Puerto Rico was $17,112 in 2017.

Earnings and Gender

Earnings and Education

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Jobs and Earnings Datasets Involving Puerto Rico

  • API

    Socioeconomic Index

    data.pr.gov | Last Updated 2014-08-20T15:44:06.000Z

    Socioeconomic Index - This index is an aggregate measurement of the socioeconomic status of each municipality. It is determined by six (6) critical variables that characterize each locality: per capita income, median family income, families below the poverty level, labor force unemployment rate, population education level and illiteracy. Of these, the first three variables measure the economic status of families and individuals who reside within the geographical boundaries of each municipality. The fourth is a broad indicator of the economic health of these. The latter two provide a general measure of the level of social advancement of their community. To obtain the index, each of the municipality’s variables were divided by the corresponding value for Puerto Rico. Thus, a relative measure of each municipality in relation to the insular value for the same variables was obtained. Three of these variables (per capita income, median family income and education level), as its value increases, indicates economic progress. On the other hand, the remaining three variables (families under poverty, illiteracy, and unemployment rate), as its value increases, indicates socioeconomic decline. Therefore, we used these three variables to the inverse of the ratio of the value of the municipality on Puerto Rico. Hence, all components of the index represent an improvement if the values increase. Concentration Index of the Commercial and Industrial Activity - This index is an aggregate measure used for the evaluation of the concentration of industrial and commercial activity of each municipality and its relation to the activity island wide. The index is composed by the population size and the number of establishments, commercial and industrial, of each municipality in relation to Puerto Rico.

  • API

    Virginia Beach Demographics

    data.vbgov.com | Last Updated 2017-10-12T13:51:45.000Z

    This dataset provides demographic information from the American Community Survey about residents of Virginia Beach. This data was originally provided in the executive summary of the City of Virginia Beach’s Operating Budget.

  • API

    Community Development Block Grant Awards (CDBG) FY 2011-2018

    opendata.maryland.gov | Last Updated 2019-01-10T16:57:30.000Z

    Community Development Block Grant Program funds help strengthen Maryland’s communities by expanding affordable housing opportunities, creating jobs, stabilizing neighborhoods and improving overall quality of life.​ Congress created the Community Development Block Grant Program under Title I of the Housing and Community Development Act of 1974. The primary objective is to develop viable communities, provide decent housing and a suitable living environment, and to expand economic opportunities, principally for persons of low and moderate income. The U.S. Department of Housing and Urban Development (HUD) oversees the Program. The Program is comprised of two parts. The Entitlement Program is directly administered by HUD and provides Federal funds to large metropolitan entitlement communities. The States and Small Cities Program provides Federal funds to the States and Puerto Rico (with the exception of Hawaii) who then distribute funds to non-entitlement counties, small cities and towns. Congress​ allocates funds to the program annually. The Entitlement Program receives approximately 70% of the allocation and the remaining 30% is distributed to the States and Small Cities Program. Maryland's Community Development Block Grant Program is administered by the Maryland Department of Housing and Community Development. The State receives an allocation from the Department of Housing and Urban Development each July. DISCLAIMER: Some of the information may be tied to the Department’s bond funded loan programs and should not be relied upon in making an investment decision. The Department provides comprehensive quarterly and annual financial information and operating data regarding its bonds and bond funded loan programs, all of which is posted on the publicly-accessible Electronic Municipal Market Access system website (commonly known as EMMA) that is maintained by the Municipal Securities Rulemaking Board, and on the Department’s website under Investor Information. More information accessible here: http://dhcd.maryland.gov/Investors/Pages/default.aspx

  • API

    Uninsured Population Census Data CY 2009-2014 Human Services

    data.pa.gov | Last Updated 2018-07-25T18:50:47.000Z

    This data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.

  • API

    Iowa Medicaid Payments & Recipients by Month and County

    data.iowa.gov | Last Updated 2019-03-01T23:00:44.000Z

    This dataset contains aggregate Medicaid payments, and counts for eligible recipients and recipients served by month and county in Iowa, starting with month ending 1/31/2011. Eligibility groups are a category of people who meet certain common eligibility requirements. Some Medicaid eligibility groups cover additional services, such as nursing facility care and care received in the home. Others have higher income and resource limits, charge a premium, only pay the Medicare premium or cover only expenses also paid by Medicare, or require the recipient to pay a specific dollar amount of their medical expenses. Eligible Medicaid recipients may be considered medically needy if their medical costs are so high that they use up most of their income. Those considered medically needy are responsible for paying some of their medical expenses. This is called meeting a spend down. Then Medicaid would start to pay for the rest. Think of the spend down like a deductible that people pay as part of a private insurance plan.

  • API

    Medicare Hospice Use and Spending by Provider Aggregate Report, CY 2014

    data.cms.gov | Last Updated 2018-06-27T13:32:29.000Z

    The Hospice Utilization and Payment Public Use File (Hospice PUF) provides information on services provided to Medicare beneficiaries by hospice providers. The Hospice PUF contains information on utilization, payment (Medicare payment and standard payment), submitted charges, primary diagnoses, sites of service, and hospice beneficiary demographics organized by CMS Certification Number (6-digit provider identification number) and state. This PUF is based on information from CMS’s Chronic Conditions Data Warehouse (CCW) data files. The data in the Hospice PUF covers calendar year 2014 and contains 100% final-action (i.e., all claim adjustments have been resolved) hospice claims for the Medicare population including beneficiaries enrolled in a Medicare Advantage plan.

  • API

    Medicare Physician and Other Supplier National Provider Identifier (NPI) Aggregate Report, Calendar Year 2014

    data.cms.gov | Last Updated 2017-10-31T15:46:00.000Z

    The “Medicare Physician and Other Supplier National Provider Identifier (NPI) Aggregate Report”, a supplement to the Medicare Provider Utilization and Payment Data: Physician and Other Supplier data, contains information on utilization, payments (Medicare allowed amount, Medicare payment, standardized Medicare payment), and submitted charges organized by NPI. Sub-totals for medical type services and drug type services are included as well as overall utilization, payment and charges. In addition, beneficiary demographic and health characteristics are provided which include age, sex, race, Medicare and Medicaid entitlement, chronic conditions and risk scores.

  • API

    Medicare Physician and Other Supplier National Provider Identifier (NPI) Aggregate Report, Calendar Year 2015

    data.cms.gov | Last Updated 2017-10-31T15:44:49.000Z

    The “Medicare Physician and Other Supplier National Provider Identifier (NPI) Aggregate Report”, a supplement to the Medicare Provider Utilization and Payment Data: Physician and Other Supplier data, contains information on utilization, payments (Medicare allowed amount, Medicare payment, standardized Medicare payment), and submitted charges organized by NPI. Sub-totals for medical type services and drug type services are included as well as overall utilization, payment and charges. In addition, beneficiary demographic and health characteristics are provided which include age, sex, race, Medicare and Medicaid entitlement, chronic conditions and risk scores.

  • API

    Medicare Physician and Other Supplier National Provider Identifier (NPI) Aggregate Report, Calendar Year 2016

    data.cms.gov | Last Updated 2018-06-14T16:19:22.000Z

    The “Medicare Physician and Other Supplier National Provider Identifier (NPI) Aggregate Report”, a supplement to the Medicare Provider Utilization and Payment Data: Physician and Other Supplier data, contains information on utilization, payments (Medicare allowed amount, Medicare payment, standardized Medicare payment), and submitted charges organized by NPI. Sub-totals for medical type services and drug type services are included as well as overall utilization, payment and charges. In addition, beneficiary demographic and health characteristics are provided which include age, sex, race, Medicare and Medicaid entitlement, chronic conditions and risk scores.

  • API

    New York City Work and Family Leave Survey (WFLS) 2014

    data.cityofnewyork.us | Last Updated 2019-02-11T22:09:17.000Z

    The New York City Work and Family Leave Survey (WFLS), conducted in March 2016, was a telephone survey of New York City residents who gave birth in 2014. Its goal was to improve understanding about the availability and accessibility of paid family leave to working parents. The WFLS also sought to describe the role that paid family leave policies play in achieving health equity for parents and children. The WFLS was made possible through funding by the U.S. Department of Labor Women’s Bureau.