The population rate of change of San Juan Metro Area (PR) was -2.32% 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 Metro Area (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.

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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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    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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    Census Demographics (2010-2014)

    data.baltimorecity.gov | Last Updated 2017-02-06T04:55:23.000Z

    Census data are frequently used throughout Vital Signs as denominators for normalizing many other indicators and rates. The socioeconomic and demographic indicators are grouped into the following categories: population, race/ethnicity, age, households, and income and poverty.

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    Census Demographics 2010

    data.baltimorecity.gov | Last Updated 2017-02-06T04:44:33.000Z

    BNIA-JFI analyzed data from the Census to provide greater understandingof the socioeconomic and demographic characteristics of the residents of the City and its neighborhoods . BNIA-JFI also used this data as denominators for many of the Vital Signs indicators allowing for data to be normalized and rates to be computed. Census data analyzed by BNIA-JFI is grouped into the following categories: population, race and ethnicity; households and families; and income.

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    COVID-19 Cases Summarized by Race and Ethnicity

    data.sfgov.org | Last Updated 2020-09-21T15:30:41.000Z

    <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 daily for public display. <strong>C. UPDATE PROCESS</strong> Updated daily, dataset uploaded manually by staff <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>

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

    data.cdc.gov | Last Updated 2020-09-09T15:29:41.000Z

    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,

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    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.

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

    data.sfgov.org | Last Updated 2020-09-21T15:31:08.000Z

    <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> Updated daily, dataset uploaded manually by staff <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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    Transfer Of Guardianship by SFY, DCF Office, Race and Length of Stay

    data.ct.gov | Last Updated 2017-09-27T14:00:43.000Z

    This dataset contains aggregate data concerning the number of children that exited DCF care to a Transfer of Guardianship. These figures are broken out by the DCF Region and Office responsible for the child's care, by their Race/Ethnicity, and by whether their exit from care occurred within 24 months of their entry to care or not. It would be appropriate to roll up the data from all variables across multiple time periods, as they represent specific events in the lives of these children. Please note that these figures do not represent unique children, and so should not be used as the basis for creating a rate based on the child population of the state. These data form the basis of measurement for the Juan F. Consent Decree Exit Plan Outcome #9: Transfer of Guardianship Within 24 Months, although those figures are reported to the DCF Court Monitor on a quarterly rather than annual schedule.