28 datasets found
  1. i

    Richest Zip Codes in Puerto Rico

    • incomebyzipcode.com
    Updated Dec 18, 2024
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    Cubit Planning, Inc. (2024). Richest Zip Codes in Puerto Rico [Dataset]. https://www.incomebyzipcode.com/puertorico
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    Dataset updated
    Dec 18, 2024
    Dataset authored and provided by
    Cubit Planning, Inc.
    License

    https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

    Area covered
    Puerto Rico
    Description

    A dataset listing the richest zip codes in Puerto Rico per the most current US Census data, including information on rank and average income.

  2. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 1, 2025
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/school/Nova%20College%20de%20Puerto%20Rico
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    FrogHire.ai
    Description

    The Average Salary chart presents a clear visualization of the salary progression for graduates from Nova College de Puerto Rico from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Nova College de Puerto Rico’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Nova College de Puerto Rico.

  3. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 1, 2025
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/school/EDP%20University%20of%20Puerto%20Rico%20Inc-San%20Juan
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    FrogHire.ai
    Description

    The Average Salary chart presents a clear visualization of the salary progression for graduates from EDP University of Puerto Rico Inc-San Juan from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how EDP University of Puerto Rico Inc-San Juan’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at EDP University of Puerto Rico Inc-San Juan.

  4. National gross income per capita in Puerto Rico 1962-2023

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). National gross income per capita in Puerto Rico 1962-2023 [Dataset]. https://www.statista.com/statistics/1068428/gross-national-income-per-capita-puerto-rico/
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    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Puerto Rico
    Description

    The national gross income per capita in Puerto Rico stood at 25,240 U.S. dollars in 2023. Between 1962 and 2023, the national gross income rose by 24,420 U.S. dollars, though the increase followed an uneven trajectory rather than a consistent upward trend.

  5. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 1, 2025
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/school/Instituto%20Tecnologico%20de%20Puerto%20Rico-Recinto%20de%20San%20Juan
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    FrogHire.ai
    Description

    The Average Salary chart presents a clear visualization of the salary progression for graduates from Instituto Tecnologico de Puerto Rico-Recinto de San Juan from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Instituto Tecnologico de Puerto Rico-Recinto de San Juan’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Instituto Tecnologico de Puerto Rico-Recinto de San Juan.

  6. Average annual income of public housing households in the U.S. 2023, by...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Average annual income of public housing households in the U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/1416785/average-annual-income-public-housing-us-by-state/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Alaska recorded the highest annual average household income of public housing residents in the United States. The annual average income of government-subsidized housing in Alaska had an annual income of more than ****** U.S. dollars, much higher than the national average of ****** U.S. dollars. Additionally, California and New York were among the states where residents earned notably higher, both states exceeding ****** U.S. dollars. On the other end of the spectrum, Puerto Rico had the lowest average public household income, amounting to just ***** U.S. dollars.

  7. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 1, 2025
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/school/Inter%20American%20University%20of%20Puerto%20Rico-Central%20Office
    Explore at:
    Dataset updated
    Apr 1, 2025
    Dataset provided by
    FrogHire.ai
    Description

    The Average Salary chart presents a clear visualization of the salary progression for graduates from Inter American University of Puerto Rico-Central Office from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Inter American University of Puerto Rico-Central Office’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Inter American University of Puerto Rico-Central Office.

  8. Latin America: minimum monthly wages in 2024, by country

    • statista.com
    • ai-chatbox.pro
    Updated Apr 22, 2025
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    Statista (2025). Latin America: minimum monthly wages in 2024, by country [Dataset]. https://www.statista.com/statistics/953880/latin-america-minimum-monthly-wages/
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    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    Latin America, LAC
    Description

    Costa Rica is the country with the highest minimum monthly wage in Latin America. According to the minimum salary established by law as of January 2025, workers in the Central American country enjoy a basic monthly wage of over 726 U.S. dollars, an increase of 2.37 percent compared to the previous year. They also earn over 200 U.S. dollars more than the second place, Uruguay. On the other side of the spectrum is Venezuela, where employees are only guaranteed by law a minimum salary of 130 bolívares or little more than 2.50 dollars per month. Can Latin Americans survive on a minimum wage? Even if most countries in Latin America have instated laws to guarantee citizens a basic income, these minimum standards are often not enough to meet household needs. For instance, it was estimated that almost 25 million people in Mexico lacked basic housing services. Salary levels also vary greatly among Latin American economies. In 2020, the average net monthly salary in Mexico was barely higher than Chile's minimum wage in 2021. What can a minimum wage afford in Latin America? Latin American real wages have generally risen in the past decade. However, consumers in this region still struggle to afford non-basic goods, such as tech products. Recent estimates reveal that, in order to buy an iPhone, Brazilian residents would have to work at least two months to be able to pay for it. A gaming console, on the other hand, could easily cost a Latin American worker several minimum wages.

  9. T

    Average Weekly Wages for Employees in Federal Government Establishments in...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 10, 2021
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    TRADING ECONOMICS (2021). Average Weekly Wages for Employees in Federal Government Establishments in Ponce, PR (MSA) [Dataset]. https://tradingeconomics.com/united-states/average-weekly-wages-for-employees-in-federal-government-establishments-in-ponce-pr-msa-fed-data.html
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jul 10, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Ponce, Puerto Rico, Ponce, PR
    Description

    Average Weekly Wages for Employees in Federal Government Establishments in Ponce, PR (MSA) was 1755.00000 $ per Week in July of 2024, according to the United States Federal Reserve. Historically, Average Weekly Wages for Employees in Federal Government Establishments in Ponce, PR (MSA) reached a record high of 1855.00000 in October of 2023 and a record low of 1411.00000 in July of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Average Weekly Wages for Employees in Federal Government Establishments in Ponce, PR (MSA) - last updated from the United States Federal Reserve on July of 2025.

  10. F

    Gross National Income for Puerto Rico

    • fred.stlouisfed.org
    json
    Updated Jul 2, 2025
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    (2025). Gross National Income for Puerto Rico [Dataset]. https://fred.stlouisfed.org/series/NYGNPMKTPCDPRI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Puerto Rico
    Description

    Graph and download economic data for Gross National Income for Puerto Rico (NYGNPMKTPCDPRI) from 1960 to 2024 about Puerto Rico, GNI, and income.

  11. F

    Secondary income receipts: Adjustment for U.S. territories and Puerto Rico

    • fred.stlouisfed.org
    json
    Updated Mar 27, 2025
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    (2025). Secondary income receipts: Adjustment for U.S. territories and Puerto Rico [Dataset]. https://fred.stlouisfed.org/series/LA0000341A027NBEA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Puerto Rico, United States
    Description

    Graph and download economic data for Secondary income receipts: Adjustment for U.S. territories and Puerto Rico (LA0000341A027NBEA) from 1999 to 2024 about Puerto Rico, receipts, secondary, adjusted, income, GDP, and USA.

  12. INCOME Total and Mean and Median Household Income in 1999 CTs 2000

    • catalog.data.gov
    • gstore.unm.edu
    Updated Dec 2, 2020
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    U.S. Department of Commerce, Bureau of the Census, Geography Division (Point of Contact) (2020). INCOME Total and Mean and Median Household Income in 1999 CTs 2000 [Dataset]. https://catalog.data.gov/dataset/income-total-and-mean-and-median-household-income-in-1999-cts-2000
    Explore at:
    Dataset updated
    Dec 2, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

  13. 2023 American Community Survey: B06011PR | Median Income in the Past 12...

    • data.census.gov
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    ACS, 2023 American Community Survey: B06011PR | Median Income in the Past 12 Months (in 2023 Inflation-Adjusted Dollars) by Place of Birth in Puerto Rico (ACS 5-Year Estimates Detailed Tables) [Dataset]. https://data.census.gov/table/ACSDT5Y2023.B06011PR?q=Income+and+Poverty&d=ACS+5-Year+Estimates+Detailed+Tables
    Explore at:
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    ACS
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2023
    Description

    Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

  14. F

    Average Weekly Earnings of All Employees: Total Private in Ponce, PR (MSA)

    • fred.stlouisfed.org
    json
    Updated Jul 19, 2025
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    (2025). Average Weekly Earnings of All Employees: Total Private in Ponce, PR (MSA) [Dataset]. https://fred.stlouisfed.org/series/SMU72386600500000011
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Ponce, PR, Puerto Rico
    Description

    Graph and download economic data for Average Weekly Earnings of All Employees: Total Private in Ponce, PR (MSA) (SMU72386600500000011) from Apr 2015 to Jun 2025 about Ponce, Puerto Rico, earnings, hours, private industries, wages, private, employment, industry, indexes, and USA.

  15. Gasoline purchasing power in Latin America 2020-2023, by country

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Gasoline purchasing power in Latin America 2020-2023, by country [Dataset]. https://www.statista.com/statistics/1168039/gasoline-purchasing-power-latin-america-country/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2020 - Jul 2023
    Area covered
    LAC, Latin America
    Description

    As of July 2023, Puerto Rico was the market with the highest gasoline purchasing power in Latin America and the Caribbean. At that point in time, an average salary in this Latin American nation could buy ***** liters of gasoline. Ecuador followed in second, with a purchasing power of *** liters of gasoline per average net salary. Meanwhile, Cuba had the worst result in the region - the average Cuban salary could only afford ** liters of gasoline.

  16. Annual wage of veterinarians employed by U.S. state 2024

    • statista.com
    Updated Jun 18, 2025
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    Statista (2025). Annual wage of veterinarians employed by U.S. state 2024 [Dataset]. https://www.statista.com/statistics/1305775/annual-wage-of-veterinarians-therapists-by-us-state/
    Explore at:
    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2024, the annual wage of veterinarians employed in the United States ranged from around ****** U.S. dollars per year to around ******* U.S. dollars per year, by state. Arizona had the highest annual wage for veterinarians in the United States, whereas Puerto Rico had the lowest.

  17. c

    Data from: Median Household Income

    • data.clevelandohio.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Aug 21, 2023
    + more versions
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    Cleveland | GIS (2023). Median Household Income [Dataset]. https://data.clevelandohio.gov/datasets/ClevelandGIS::demographic-profiles?layer=1
    Explore at:
    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description
    This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey.

    This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

    Current Vintage: 2019-2023
    ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.

  18. g

    INCOME Total and Mean and Median Household Income in 1999 BGs 2000 |...

    • gimi9.com
    + more versions
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    INCOME Total and Mean and Median Household Income in 1999 BGs 2000 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_income-total-and-mean-and-median-household-income-in-1999-bgs-2000/
    Explore at:
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

  19. u

    INCOME Total and Mean and Median Family Income in 1999 COS 2000

    • gstore.unm.edu
    csv, geojson, gml +5
    Updated Feb 14, 2008
    + more versions
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    Earth Data Analysis Center (2008). INCOME Total and Mean and Median Family Income in 1999 COS 2000 [Dataset]. http://gstore.unm.edu/apps/rgisarchive/datasets/3ffedc0c-6aa6-4086-aa90-89a2d4a9a239/metadata/FGDC-STD-001-1998.html
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    gml(5), csv(5), zip(1), json(5), kml(5), xls(5), shp(5), geojson(5)Available download formats
    Dataset updated
    Feb 14, 2008
    Dataset provided by
    Earth Data Analysis Center
    Time period covered
    2000
    Area covered
    West Bounding Coordinate -109.05078125 East Bounding Coordinate -103.002449035645 North Bounding Coordinate 37.0003128051758 South Bounding Coordinate 31.3322792053223, New Mexico (35)
    Description

    TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

  20. F

    Income payments: Adjustment for U.S. territories and Puerto Rico

    • fred.stlouisfed.org
    json
    Updated Mar 27, 2025
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    (2025). Income payments: Adjustment for U.S. territories and Puerto Rico [Dataset]. https://fred.stlouisfed.org/series/B1250C1A027NBEA
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    jsonAvailable download formats
    Dataset updated
    Mar 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    Puerto Rico, United States
    Description

    Graph and download economic data for Income payments: Adjustment for U.S. territories and Puerto Rico (B1250C1A027NBEA) from 1986 to 2024 about Puerto Rico, payments, adjusted, income, GDP, and USA.

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Cubit Planning, Inc. (2024). Richest Zip Codes in Puerto Rico [Dataset]. https://www.incomebyzipcode.com/puertorico

Richest Zip Codes in Puerto Rico

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Dataset updated
Dec 18, 2024
Dataset authored and provided by
Cubit Planning, Inc.
License

https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS

Area covered
Puerto Rico
Description

A dataset listing the richest zip codes in Puerto Rico per the most current US Census data, including information on rank and average income.

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