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The population rate of change of San Juan, PR was -3.07% in 2018.

Population

Population Change

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

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Demographics and Population Datasets Involving San Juan, PR

  • API

    NYCHA Resident Data Book Summary

    data.cityofnewyork.us | Last Updated 2020-02-08T00:56:30.000Z

    Contains resident demographic data at a summary level as of January 1, 2019. The Resident Data Book is compiled to serve as an information source for queries involving resident demographic as well as a source of data for internal analysis. Statistics are compiled via HUD mandated annual income reviews involving NYCHA Staff and residents. Data is then aggregated and compiled by development. Each record pertains to a single public housing development.

  • API

    Projections 2040 by Jurisdiction

    data.bayareametro.gov | Last Updated 2019-05-01T23:00:49.000Z

    Forecasts for Year 2010 through 2040 containing values for Households by Inc. Quartile; Households; Jobs; Population by Gender, Age; Units; Employed Residents; Population by Age; Population for jurisdictions in the nine county San Francisco Bay Area region.

  • API

    Demographics For Unincorporated Areas In San Mateo County

    datahub.smcgov.org | Last Updated 2018-10-25T21:45:46.000Z

    Demographics, including median income, total population, race, ethnicity, and age for unincorporated areas in San Mateo County. This data comes from the 2012 American Community Survey 5 year estimates DP03 and DP05 files. They Sky Londa area is located within two Census Tracts. The data for Sky Londa is the sum of both of those Census Tracts. Users of this data should take this into account when using data for Sky Londa.

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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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    CPI 1.1 Texas Child Population (ages 0-17) by County 2010-2020

    data.texas.gov | Last Updated 2021-02-12T20:01:30.000Z

    As recommended by the Health and Human Services Commission (HHSC) to ensure consistency across all HHSC agencies, in 2012 DFPS adopted the HHSC methodology on how to categorize race and ethnicity. As a result, data broken down by race and ethnicity in 2012 and after is not directly comparable to race and ethnicity data in 2011 and before. The population totals may not match previously printed DFPS Data Books. Past population estimates are adjusted based on the U.S. Census data as it becomes available. This is important to keep the data in line with current best practices, but may cause some past counts, such as Abuse/Neglect Victims per 1,000 Texas Children, to be recalculated. Population Data Source - Population Estimates and Projections Program, Texas State Data Center, Office of the State Demographer and the Institute for Demographic and Socioeconomic Research, The University of Texas at San Antonio. Current population estimates and projections data as of December 2020. Visit dfps.state.tx.us for information on all DFPS programs.

  • API

    COVID-19 Cases Summarized by Date, Transmission and Case Disposition

    data.sfgov.org | Last Updated 2021-04-11T12:02:24.000Z

    <strong>A. SUMMARY</strong> This dataset represents the COVID-19 positive confirmed cases and deaths by day and transmission type. Demographic and transmission data are based on information reported from case interviews, laboratories, and providers. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. <strong>B. HOW THE DATASET IS CREATED</strong> Information on cases and deaths including case demographic and transmission details is reported from a combination of data sources including electronic and faxed laboratory reports, case interviews, medical providers, and electronic medical record systems. These multiple streams of data are merged, deduplicated, undergo quality assurance and other data verification processes, and are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19. <strong>C. UPDATE PROCESS</strong> Updates automatically Monday through Saturday at 05:00 Pacific Time. Redundant runs are scheduled at 07:00 and 09:00 in case of pipeline failure. <strong>D. HOW TO USE THIS DATASET</strong> Case counts are provided by category of the disposition. Confirmed are those cases where lab testing was positive, deaths are those cases of infection resulting in death. To get counts in either category, you must filter the Case Type Disposition or pivot the data. Information on transmission of COVID-19 is based on case interviews with individuals who have a confirmed positive test. Individuals are asked if they have been in close contact with a known COVID-19 case. If they answer yes, transmission category is recorded as contact with a known case. If they report no contact with a known case, transmission category is recorded as community transmission. If the case is not interviewed or was not asked the question, they are counted as unknown. These data do not reflect the number of COVID-19 recoveries. The San Francisco Department of Public Health (SFDPH) is focused on caring for patients, reducing the spread of COVID-19, and tracking the surge. Recoveries happen in many settings, including homes, residential facilities, and hospitals, and are not routinely reported to the local health department. This is consistent with SFDPH reporting in the regular flu season. There are three other datasets related to cases: 1. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Age-Group-and-Gender/sunc-2t3k">COVID-19 Cases Summarized by Age Group</a> 2. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Race-and-Ethnicity/vqqm-nsqg">COVID-19 Cases Summarized by Race and Ethnicity</a> 3. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Gender/nhy6-gqam">COVID-19 Cases Summarized by Gender</a>

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    AmeriCorps Member Race and Ethnicity National Figures

    data.americorps.gov | Last Updated 2021-02-06T01:05:53.000Z

    This dataset represents the percent distribution of AmeriCorps member terms which started their service in calendar year 2019 by race and ethnicity. This report excludes AmeriCorps Seniors volunteers. Included are percentage distributions from the United States Census Bureau's 2010-2019 State Population Characteristics dataset.

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    Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days

    data.cdc.gov | Last Updated 2021-04-07T14:33:03.000Z

    The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions,

  • API

    COVID-19 Cases Summarized by Race and Ethnicity

    data.sfgov.org | Last Updated 2021-04-11T12:01:28.000Z

    <strong>A. SUMMARY</strong> This dataset represents the COVID-19 positive confirmed cases by race and ethnicity. Demographic and transmission data are based on information reported from case interviews, laboratories, and providers. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. Cumulative counts of 5 or fewer are excluded from the dataset. <strong>B. HOW THE DATASET IS CREATED</strong> Information on cases and deaths including case demographic and transmission details is reported from a combination of data sources including electronic and faxed laboratory reports, case interviews, medical providers, and electronic medical record systems. These multiple streams of data are merged, deduplicated, undergo quality assurance and other data verification processes, and are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19. Data are prepared by close of business Monday though Saturday for public display. <strong>C. UPDATE PROCESS</strong> Updates automatically Monday through Saturday at 05:00 Pacific Time. Redundant runs are scheduled at 07:00 and 09:00 in case of pipeline failure. <strong>D. HOW TO USE THIS DATASET</strong> Unknowns may become known over time as more information is gathered. Race/Ethnicity groups resulting in 5 or fewer cumulative cases are dropped for privacy reasons. There are three other datasets related to cases: 1. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Date-Transmission-and/tvq9-ec9w">COVID-19 Cases Summarized by Date, Transmission and Case Disposition</a> 2. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Gender/nhy6-gqam">COVID-19 Cases Summarized by Gender</a> 3. <a href="https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Age-Group/sunc-2t3k">COVID-19 Cases Summarized by Age Group</a>

  • API

    COVID-19 Vaccinations by Town

    data.ct.gov | Last Updated 2021-04-08T20:37:02.000Z

    A summary of COVID-19 vaccination coverage in Connecticut by town. Records without an address could not be included in town vaccine coverage estimates. Total population estimates are based on 2019 data. A person who has received one dose of any vaccine is considered to have received at least one dose. A person is considered fully vaccinated if they have received 2 doses of the Pfizer or Moderna vaccines or 1 dose of the Johnson & Johnson vaccine. The fully vaccinated are a subset of the number who have received at least one dose. The number with At Least One Dose and the number Fully Vaccinated add up to more than the total number of doses because people who received the Johnson & Johnson vaccine fit into both categories. SVI refers to the CDC's Social Vulnerability Index - a measure that combines 15 demographic variables to identify communities most vulnerable to negative health impacts from disasters and public health crises. Measures of social vulnerability include socioeconomic status, household composition, disability, race, ethnicity, language, and transportation limitations - among others. Towns with a "yes" in the "Has SVI tract >0.75" field are those that have at least one census tract that is in the top quartile of vulnerability (e.g., a high-need area). 34 towns in Connecticut have at least one census tract in the top quartile for vulnerability. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected.