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The population count of Santa Clara, NM was 1,507 in 2016.

Population

Population Change

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.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Demographics and Population Datasets Involving Santa Clara, NM

  • API

    Workforce Demographic Characteristics by Commuting Mode Split : 2012 - 2016

    data.cambridgema.gov | Last Updated 2024-05-06T21:39:43.000Z

    This data set provides demographic and journey to work characteristics of the Cambridge Workforce by primary mode of their journey to work. Attributes include age, presence of children, racial and ethnic minority status, vehicles available, time arriving at work, 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 Workforce consist of all persons who work in Cambridge, regardless of home location. 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

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

    data.cambridgema.gov | Last Updated 2024-05-06T21:33:09.000Z

    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

    Displacement Risk

    data.bayareametro.gov | Last Updated 2023-07-27T19:10:55.000Z

    Displacement Typologies, developed by the University of California, Berkeley's Urban Displacement Project (UDP), use housing and demographic data from the United States Census, as well as real estate market data from Zillow to classify a metropolitan area's census tracts into eight distinct categories. Each category represents a stage of neighborhood change, although should not be taken to represent a linear trajectory or to predetermine neighborhood outcomes. Instead, typologies allow practitioners and researchers to see patterns in their regions over a specified time period, and are meant to start conversations about how policy interventions and investment could respond and support more equitable development. It is important to note that in considering the entire metropolitan region, UDP's typologies classify both low- and middle-income neighborhoods at risk of or experiencing displacement or gentrification, as well as high-income neighborhoods where housing markets are becoming increasingly 'exclusive' to low income residents. UDP believes that classifying tracts in such a way allows practitioners to get a broader picture of neighborhood dynamics, specifically the concentration of poverty and wealth within a region. UDP's Typologies have evolved over time in response to community and partner feedback and the availability of new data sources. This code represents the code's most recent iteration. It makes use of data from the 2014-2018 American Community Survey; 1990, 2010 and 2000 Decennial Census; and 2012-2017 Zillow Home Value and Rent Indices. For more information: ● Displacement typology data (includes graphic with category criteria) - https://github.com/urban-displacement/displacement-typologies ● Urban Displacement Project - https://www.urbandisplacement.org/

  • API

    equity_priority_communities_2020_acs2018

    data.bayareametro.gov | Last Updated 2024-07-15T21:22:16.000Z

    gis.plan.equity_priority_communities_2020_acs2018

  • API

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

    data.cdc.gov | Last Updated 2024-08-09T16:51:17.000Z

    • National Immunization Survey Adult COVID Module (NIS-ACM): CDC is providing information on the Updated 2023-24 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. • The data start in October 2023. • The archived data can be found here:

  • API

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

    data.cdc.gov | Last Updated 2024-01-24T15:15:26.000Z

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

  • API

    Community Perceptions Survey 2021

    data.cincinnati-oh.gov | Last Updated 2024-04-16T17:28:36.000Z

    The Cincinnati Community Perceptions Survey was developed by the City's Office of Performance and Data Analytics and ETC Institute in the fall of 2021. This community engagement tool was designed to allow the City Administration to evaluate resident satisfaction with our services and measure that level of satisfaction against cities of similar size, location, and demographics. The survey design also allows the City to capture community priorities for investment in services over the next two years. The survey was administered during the winter of 2021 by mail to a random sample of households across the city, and was available to complete by mail or online. The goal of 1,200 completed surveys was exceeded, with a total of 1,408 residents completing the survey. The overall residents for the sample of 1,408 households have a precision of at least +/-2.6% at the 95% level of confidence, and are demographically representative of our city's population. This year's survey will set a baseline for Cincinnati to work from with the goal of better understanding where we are excelling in service delivery and where our local government could benefit from intentional improvement and resources. Find the link to the Survey landing page here: https://etcinstitute.com/directionfinder2-0/city-of-cincinnati-ohio/

  • API

    Community Perceptions Survey 2023

    data.cincinnati-oh.gov | Last Updated 2024-04-16T17:55:03.000Z

    The Cincinnati Community Perceptions Survey was developed by the City's Office of Performance and Data Analytics and ETC Institute in the fall of 2021. This community engagement tool was designed to allow the City Administration to evaluate resident satisfaction with our services and measure that level of satisfaction against cities of similar size, location, and demographics. The survey design also allows the City to capture community priorities for investment in services over the next two years. The survey was administered during the winter of 2023 by mail to a random sample of households across the city, and was available to complete by mail or online. The goal of 1,200 completed surveys was met, with a total of 1,235 residents completing the survey. The overall residents for the sample of 1,408 households have a precision of at least +/-2.8% at the 95% level of confidence, and are demographically representative of our city's population. This survey provides insight into where we are excelling in service delivery and where our local government could benefit from intentional improvement and resources. Read the full report on survey results here: https://www.cincinnati-oh.gov/manager/community-survey/ Find the Community Perceptions Survey Dashboard here: https://insights.cincinnati-oh.gov/stories/s/Community-Perceptions-Survey-Version-2/3nn5-m4kg/ Find the 2021 Community Perceptions Survey Data here: https://data.cincinnati-oh.gov/efficient-service-delivery/Community-Perceptions-Survey-2021/pkyn-d5t4/about_data