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The population density of Santa Fe, TX was 724 in 2013.

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.

2. To build your own apps using this data, see the ODN Dataset and API links.

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Geographic and Population Datasets Involving Santa Fe, TX

  • API

    CPI 1.1 Texas Child Population (ages 0-17) by County 2014-2023

    data.texas.gov | Last Updated 2024-09-05T21:23:24.000Z

    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.texas.gov for information on all DFPS programs.

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    PEI 2.1 Families Served During Fiscal Year by Program FY2014-2023

    data.texas.gov | Last Updated 2024-02-08T04:20:55.000Z

    Child Abuse/Neglect Prevention Programs include: Texas Families: Together and Safe (TFTS) - The TFTS program funds evidence-based, community-based programs designed to alleviate stress and promote parental competencies and behaviors that increase the ability of families to become self-sufficient and successfully nurture their children. Fatherhood Effects (FE) - FE funds a variety of contracts with community-based organizations to provide child abuse and neglect prevention services. These include the Fatherhood Effects grants as well as various special initiatives and public awareness campaigns. Community Based Family Services (CBFS) - The CBFS program serves families who were investigated by CPS but whose allegations were low-priority or unsubstantiated, through community and evidence-based services. Services include home visitation, case management, and additional social services to provide a safe and stable home environment. Helping through Intervention and Prevention (HIP) - The HIP program provides an extensive family assessment, home visiting that includes parent education and basic needs support to targeted families. Healthy Outcomes through Prevention and Early Support (HOPES) - The HOPES program provides child abuse and neglect prevention services that target families with children between 0-5 years of age. Contracts have been awarded in eight counties. Each HOPES contract also has a focus on community collaboration that focus on early childhood and the prevention of child abuse and neglect. Family Strengthening (FSP) and Tertiary Child Abuse Prevention Programs (TPP) - Served families through 2011. Texas Service Members, Veterans and Families (SMVF) - Formerly Preventive Services for Veterans and Military Families. FOOTNOTES Families served are counted by primary caregivers' participation in child abuse/neglect prevention programs. Data as of December 21, 2023. Please visit dfps.texas.gov to learn more about PEI and all DFPS programs.

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    PEI 4.1 - Outcomes, Outputs & Efficiencies

    data.texas.gov | Last Updated 2024-02-08T04:31:29.000Z

    About this data set: Texas Families: Together and Safe (TFTS) - The TFTS program funds evidence-based, community-based programs designed to alleviate stress and promote parental competencies and behaviors that increase the ability of families to become self-sufficient and successfully nurture their children. Fatherhood Effects (FE) - FE funds a variety of contracts with community-based organizations to provide child abuse and neglect prevention services. These include the Fatherhood Effects grants as well as various special initiatives and public awareness campaigns. Community Based Family Services (CBFS) - The CBFS program serves families who were investigated by CPS but whose allegations were low-priority or unsubstantiated, through community and evidence-based services. Services include home visitation, case management, and additional social services to provide a safe and stable home environment. Helping through Intervention and Prevention (HIP) - The HIP program provides an extensive family assessment, home visiting that includes parent education and basic needs support to targeted families. Healthy Outcomes through Prevention and Early Support (HOPES) - The HOPES program provides child abuse and neglect prevention services that target families with children between 0-5 years of age. Contracts have been awarded in eight counties. Each HOPES contract also has a focus on community collaboration that focus on early childhood and the prevention of child abuse and neglect. Family Strengthening (FSP) and Tertiary Child Abuse Prevention Programs (TPP) - Served families through 2011. Texas Service Members, Veterans and Families (SMVF) - Formerly Preventive Services for Veterans and Military Families. FOOTNOTES HIP and HOPES began services in Fiscal Year 2015. TFTS and CBFS where discontinued in FY2018. STAR was renamed to FAYS in FY2020. CBCAP was renamed to FE in FY2020. MFVPP was renamed to SMVF in FY2020. Fiscal Year 2023 data is as of December 21, 2023.

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    T12 Emergency Resp Times Fire

    data.sustainablesm.org | Last Updated 2020-01-17T16:58:05.000Z

    Fire service standards are established by the National Fire Protection Agency (NFPA); NFPA Standard 1710 addresses the performance measure of travel time and sets its standards by percentiles rather than averages. According to NFPA 1710: The fire department’s fire suppression resources shall be deployed to provide for the arrival of an engine company within a 240-second travel time to 90 percent of the incidents; in 2014 SMFD responded to 70% of the incidents within a 240-second travel time. When considering travel time, it is important to understand that travel time is affected by population density, traffic, construction zones, street closures, etc.

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    CPS 2.4 Children In Legal Responsibility on August 31 by Legal Status and Average Days in Care FY2014-2023

    data.texas.gov | Last Updated 2024-02-12T18:17:38.000Z

    Children in DFPS custody are those for whom a court has appointed DFPS legal responsibility through temporary or permanent managing conservatorship or other court ordered legal basis. This chart includes any child in DFPS custody on August 31 of the fiscal year. A description of the different types of legal statuses is in the CPS glossary: https://www.dfps.texas.gov/About_DFPS/Data_Book/Child_Protective_Services/Resources/glossary.asp Visit dfps.texas.gov for information on Children In Legal Responsibility and all DFPS programs.

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    Strategic Measure_Cost of City Services per Capita Adjusted for Inflation (General Fund only)

    datahub.austintexas.gov | Last Updated 2023-04-10T13:40:21.000Z

    This dataset has information about the cost of providing General Fund City services per capita of the Full Purpose City population (SD23 measure GTW.A.4). It provides expense information from the annual approved budget document (General Fund Summary and Budget Stabilization Reserve Fund Summary) and population information from the City Demographer's Full Purpose Population numbers. The Consumer Price Index information for Texas is available through the following Key Economic Indicators dataset: https://data.texas.gov/dataset/Key-Economic-Indicators/karz-jr5v. This dataset can be used to help understand the cost of city services over time. View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/ixex-hibp

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    HE.C.2 Peer Cities Table V3

    datahub.austintexas.gov | Last Updated 2024-05-24T16:51:14.000Z

    PARD’s Long Range Plan for Land, Facilities and Programs, Our Parks, Our Future (adopted November 2019) compared Austin’s park system to five peer cities: Atlanta, GA, Dallas, TX, Portland, OR, San Antonio, TX, and San Diego, CA. The peer cities were selected based on characteristics such as population, size, density, and governance type. Portland and San Diego were selected as aspirational cities known for their park systems. Note that the table below presents each scoring area’s 1 to 100 index, where 100 is the highest possible score.

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    Demographics Stats at a Glance

    datahub.austintexas.gov | Last Updated 2024-05-16T18:54:24.000Z

    These are the statistics listed in the "Stats at a Glance" section of the City of Austin demographics website: https://demographics-austin.hub.arcgis.com/

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    Vital Signs: Population – by PDA (2022)

    data.bayareametro.gov | Last Updated 2023-06-20T23:39:41.000Z

    VITAL SIGNS INDICATOR Population (LU1) FULL MEASURE NAME Population estimates LAST UPDATED February 2023 DESCRIPTION Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region. DATA SOURCE California Department of Finance: Population and Housing Estimates - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Table E-6: County Population Estimates (1960-1970) Table E-4: Population Estimates for Counties and State (1970-2021) Table E-8: Historical Population and Housing Estimates (1990-2010) Table E-5: Population and Housing Estimates (2010-2021) Bay Area Jurisdiction Centroids (2020) - https://data.bayareametro.gov/Boundaries/Bay-Area-Jurisdiction-Centroids-2020-/56ar-t6bs Computed using 2020 US Census TIGER boundaries U.S. Census Bureau: Decennial Census Population Estimates - http://www.s4.brown.edu/us2010/index.htm- via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University 1970-2020 U.S. Census Bureau: American Community Survey (5-year rolling average; tract) - https://data.census.gov/ 2011-2021 Form B01003 Priority Development Areas (Plan Bay Area 2050) - https://opendata.mtc.ca.gov/datasets/MTC::priority-development-areas-plan-bay-area-2050/about CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) All historical data reported for Census geographies (metropolitan areas, county, city and tract) use current legal boundaries and names. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of December 2022. Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator. Population estimates for Bay Area tracts and PDAs are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Population estimates for PDAs are allocated from tract-level Census population counts using an area ratio. For example, if a quarter of a Census tract lies with in a PDA, a quarter of its population will be allocated to that PDA. Estimates of population density for PDAs use gross acres as the denominator. Note that the population densities between PDAs reported in previous iterations of Vital Signs are mostly not comparable due to minor differences and an updated set of PDAs (previous iterations reported Plan Bay Area 2040 PDAs, whereas current iterations report Plan Bay Area 2050 PDAs). The following is a list of cities and towns by geographical area: Big Three: San Jose, San Francisco, Oakland Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside Inland, Delta and

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    Vital Signs: Population – by tract (2022)

    data.bayareametro.gov | Last Updated 2023-06-20T23:39:40.000Z

    VITAL SIGNS INDICATOR Population (LU1) FULL MEASURE NAME Population estimates LAST UPDATED February 2023 DESCRIPTION Population is a measurement of the number of residents that live in a given geographical area, be it a neighborhood, city, county or region. DATA SOURCE California Department of Finance: Population and Housing Estimates - http://www.dof.ca.gov/Forecasting/Demographics/Estimates/ Table E-6: County Population Estimates (1960-1970) Table E-4: Population Estimates for Counties and State (1970-2021) Table E-8: Historical Population and Housing Estimates (1990-2010) Table E-5: Population and Housing Estimates (2010-2021) Bay Area Jurisdiction Centroids (2020) - https://data.bayareametro.gov/Boundaries/Bay-Area-Jurisdiction-Centroids-2020-/56ar-t6bs Computed using 2020 US Census TIGER boundaries U.S. Census Bureau: Decennial Census Population Estimates - http://www.s4.brown.edu/us2010/index.htm- via Longitudinal Tract Database Spatial Structures in the Social Sciences, Brown University 1970-2020 U.S. Census Bureau: American Community Survey (5-year rolling average; tract) - https://data.census.gov/ 2011-2021 Form B01003 Priority Development Areas (Plan Bay Area 2050) - https://opendata.mtc.ca.gov/datasets/MTC::priority-development-areas-plan-bay-area-2050/about CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) All historical data reported for Census geographies (metropolitan areas, county, city and tract) use current legal boundaries and names. A Priority Development Area (PDA) is a locally-designated area with frequent transit service, where a jurisdiction has decided to concentrate most of its housing and jobs growth for development in the foreseeable future. PDA boundaries are current as of December 2022. Population estimates for Bay Area counties and cities are from the California Department of Finance, which are as of January 1st of each year. Population estimates for non-Bay Area regions are from the U.S. Census Bureau. Decennial Census years reflect population as of April 1st of each year whereas population estimates for intercensal estimates are as of July 1st of each year. Population estimates for Bay Area tracts are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Estimates of population density for tracts use gross acres as the denominator. Population estimates for Bay Area tracts and PDAs are from the decennial Census (1970-2020) and the American Community Survey (2011-2021 5-year rolling average). Population estimates for PDAs are allocated from tract-level Census population counts using an area ratio. For example, if a quarter of a Census tract lies with in a PDA, a quarter of its population will be allocated to that PDA. Estimates of population density for PDAs use gross acres as the denominator. Note that the population densities between PDAs reported in previous iterations of Vital Signs are mostly not comparable due to minor differences and an updated set of PDAs (previous iterations reported Plan Bay Area 2040 PDAs, whereas current iterations report Plan Bay Area 2050 PDAs). The following is a list of cities and towns by geographical area: Big Three: San Jose, San Francisco, Oakland Bayside: Alameda, Albany, Atherton, Belmont, Belvedere, Berkeley, Brisbane, Burlingame, Campbell, Colma, Corte Madera, Cupertino, Daly City, East Palo Alto, El Cerrito, Emeryville, Fairfax, Foster City, Fremont, Hayward, Hercules, Hillsborough, Larkspur, Los Altos, Los Altos Hills, Los Gatos, Menlo Park, Mill Valley, Millbrae, Milpitas, Monte Sereno, Mountain View, Newark, Pacifica, Palo Alto, Piedmont, Pinole, Portola Valley, Redwood City, Richmond, Ross, San Anselmo, San Bruno, San Carlos, San Leandro, San Mateo, San Pablo, San Rafael, Santa Clara, Saratoga, Sausalito, South San Francisco, Sunnyvale, Tiburon, Union City, Vallejo, Woodside Inland, Delta and