The population count of Universal City, TX was 20,265 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 Universal City, TX

  • API

    CPI 1.1 Texas Child Population (ages 0-17) by County 2013-2022

    data.texas.gov | Last Updated 2023-01-30T16:22:35.000Z

    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

    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

    APS 1.1 Texas Adult Populations at Risk by County/Region FY2013-FY2022

    data.texas.gov | Last Updated 2023-02-16T15:40:54.000Z

    APS investigates allegations of abuse, neglect, and financial exploitation and provides protective services, regardless of race, creed, color, or national origin to people who are: • age 65 or older; • age 18-64 with a mental, physical, or developmental disability that substantially impairs the ability to live independently or provide for their own self-care or protection; or • emancipated minors with a mental, physical, or developmental disability that substantially impairs the ability to live independently or provide for their own self-care or protection. APS clients do not have to meet financial eligibility requirements. The population totals will 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 Population, 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 for all years from 2010 to 2019 as of December 2019.

  • API

    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

  • API

    Social Vulnerability Index for Virginia by Census Tract, 2018

    data.virginia.gov | Last Updated 2023-05-22T14:49:26.000Z

    "ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking." For more see https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2018.html

  • API

    City of Austin Displacement Risk Areas 2020

    datahub.austintexas.gov | Last Updated 2023-04-10T13:40:08.000Z

    To determine displacement risk, researchers at the University of Texas conducted a three-part analysis: the presence of vulnerable populations, residential market appreciation, and demographic change. To determine vulnerable populations, the authors used indicators to identify residents who, according to academic research, are least able to absorb housing costs, which includes: communities of color, low-income households, heads of households without a bachelor's degree or higher, families with children in poverty, and renters. In 2019 and 2020, the City of Austin Housing and Planning staff updated the data and simplified the categories below. Vulnerable: Vulnerable populations present, no significant demographic change, some tracts are near or contain high-value and high-appreciation areas. Active Displacement Risk: Vulnerable populations present, active demographic change, accelerating or appreciating housing market. Chronic Displacement Risk: Vulnerable populations have been displaced, demographic change has occurred and the housing market is high value and appreciated or appreciating. Historic Displacement: Tracts previously identified as at-risk to displacement in earlier Uprooted models (2016, 2019)

  • API

    APS 3.2 Investigations: Types of Abuse by Region with Demographics FY2013-2022

    data.texas.gov | Last Updated 2023-02-07T18:29:30.000Z

    Types of Abuse, Neglect and Financial Exploitation - A single APS case can have more than one allegation. Neglect is the failure to provide the protection, food, shelter, or care necessary to avoid emotional harm or physical injury. The alleged perpetrator of the neglect may be the victim or the victim's caregiver. There are three types of neglect allegations: Physical Neglect, Medical Neglect, and Mental Health Neglect. Other allegation types include: Financial Exploitation, Physical Abuse, Emotional or Verbal Abuse, or Sexual Abuse. The population totals do not match prior DFPS Data Books, printed or ontline. 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 will 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 for all years from 2011 to 2020 as of December 2020. Visit dfps.state.tx.us for information on all DFPS programs.

  • API

    National Immunization Survey Adult COVID Module (NIS-ACM): COVIDVaxViews| Data | Centers for Disease Control and Prevention (cdc.gov)

    data.cdc.gov | Last Updated 2023-08-04T15:58:48.000Z

    National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on COVID-19 vaccine confidence to supplement vaccine administration data. These data represent trends in vaccination status and intent, and other behavioral indicators, by demographics and other characteristics.

  • API

    Labor Force Demographic Characteristics by Commuting Mode Split: 2012 - 2016

    data.cambridgema.gov | Last Updated 2023-08-01T12:47:57.000Z

    This data set provides demographic and journey to work characteristics of the Cambridge Labor Force by primary mode of their journey to work. Attributes include age, presence of children, racial and ethnic minority status, vehicles available, time leaving home, time spent traveling, and annual household income. The data set originates from a special tabulation of the American Community Survey - the 2012 - 2016 version of the Census Transportation Planning Products (CTPP). The Cambridge Labor Force consist of all persons who live in Cambridge who work or are actively seeking employment. For more information on Journey to Work data in Cambridge, please see the report Moving Forward: 2020 - https://www.cambridgema.gov/-/media/Files/CDD/FactsandMaps/profiles/demo_moving_forward_2020.pdf

  • API

    Austin MSA Displacement Risk Areas 2020

    datahub.austintexas.gov | Last Updated 2023-04-10T13:40:25.000Z

    To determine displacement risk, researchers at the University of Texas conducted a three-part analysis: the presence of vulnerable populations, residential market appreciation, and demographic change. To determine vulnerable populations, the authors used indicators to identify residents who, according to academic research, are least able to absorb housing costs, which includes: communities of color, low-income households, heads of households without a bachelor's degree or higher, families with children in poverty, and renters. In 2019 and 2020, the City of Austin Housing and Planning staff updated the data and simplified the categories below. Vulnerable: Vulnerable populations present, no significant demographic change, some tracts are near or contain high-value and high-appreciation areas. Active Displacement Risk: Vulnerable populations present, active demographic change, accelerating or appreciating housing market. Chronic Displacement Risk: Vulnerable populations have been displaced, demographic change has occurred and the housing market is high value and appreciated or appreciating. Historic Displacement: Tracts previously identified as at-risk to displacement in earlier Uprooted models (2016, 2019)