The population density of Puerto Rico was 1,013 in 2017.

Population Density

Population Density is computed by dividing the total population by Land Area Per Square Mile.

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.

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Geographic and Population Datasets Involving Puerto Rico

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    Bronx Zip Population and Density

    bronx.lehman.cuny.edu | Last Updated 2012-10-21T14:06:17.000Z

    2010 Census Data on population, pop density, age and ethnicity per zip code

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    County Population in Iowa by Year

    mydata.iowa.gov | Last Updated 2019-06-07T20:40:40.000Z

    This dataset contains county population in Iowa from 1990 to the most current year available. Data from 1990, 2000, and 2010 comes from the decennial censuses while the years in between are produced annually.

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    Total City Population by Year

    mydata.iowa.gov | Last Updated 2019-06-07T20:24:18.000Z

    This dataset contains city population in Iowa from 1990 to the most current year available. Data from 1990, 2000, and 2010 comes from the decennial censuses while the years in between are produced annually.

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    City Population in Iowa by County and Year

    mydata.iowa.gov | Last Updated 2019-06-07T20:41:12.000Z

    This dataset contains city population in Iowa from 2010 to the most current year available. Data from 2010 comes from the decennial census while the proceeding years are produced annually. Aggregating the city populations in each county will provide a county total population

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    Uninsured Population Census Data CY 2009-2014 Human Services

    data.pa.gov | Last Updated 2019-04-01T15:15:07.000Z

    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.

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    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.

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    Profile of General Population and Housing Characteristics: 2010 Census Summary File

    bronx.lehman.cuny.edu | Last Updated 2013-03-22T23:13:16.000Z

    this is a 100% count from the 2010 census neighborhood profile.

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    Maryland International Migration: 2001-2018

    opendata.maryland.gov | Last Updated 2019-05-07T18:22:15.000Z

    Maryland International Migration from 2000 to 2018, which includes net foreign-born international migration, net movement to/ from Puerto Rico, net Armed Forces movement and native emigration. Source from the Population Division, U.S. Census Bureau, March 2019.

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    Pregnancy Risk Assessment Monitoring System (PRAMS)

    data.cityofnewyork.us | Last Updated 2019-04-30T14:00:46.000Z

    The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing, population-based risk factor surveillance system designed to identify and monitor selected maternal experiences and behaviors that occur before, during, and shortly after pregnancy, among a stratified sample of mothers delivering a live birth. PRAMS is a partnership with the CDC and presently exists in 50 jurisdictions, including 47 states, New York City, Washington, D.C., and Puerto Rico. In NYC, PRAMS participants are randomly selected from the City’s birth certificate records (approximately 2,100 participants per year).

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    Percent of vehicle occupants observed using seat belts during daytime, New Jersey, by year: Beginning 2010

    healthdata.nj.gov | Last Updated 2019-05-09T18:27:30.000Z

    Ratio: Percent of Population Definition: Percentage of front-seat passenger car occupants observed using seat belts in automobiles Data Source: NJLPS Division of Highway Traffic Safety - National Occupant Protection Use Survey http://www-nrd.nhtsa.dot.gov/CATS/listpublications.aspx?Id=7&ShowBy=Category * In 2011 NHTSA established new uniform criteria (23 CFR Part 1340) for observational surveys. In the transitional period, NHTSA allows the States and Territories the option to use either the old or new criteria for 2012 surveys. In 2012, twenty-seven States, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands used surveys that conformed to the new uniform criteria. From 2013 and beyond all State and Territory observational surveys will be based on the new criteria.