Empowered by Tyler Technologies
Refine Results

The population density of Elm Springs, AR was 384 in 2014.

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.

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

Geographic and Population Datasets Involving Elm Springs, AR

  • API

    Really Grate Tree Project, Soil Analysis (2010-2013)

    data.edmonton.ca | Last Updated 2021-06-16T21:29:24.000Z

    Sidewalk trees are notoriously short lived. They grow in difficult environments, but where they are greatly appreciated: high density urban hardscapes. We proposed and executed the Really Grate Tree Project to help us understand how these trees survive and to experiment with methods to improve their growth. Soil data was collected from each tree in both the spring and fall, from 2010 to 2013 at three depths: 0-15cm, 15-30cm, and 30-45cm. NOTE: Tree 1021501 was completely broken off at ~ 20 cm height sometime near the beginning of 2012 and was replaced with a new elm at that site during the summer of 2012.

  • API

    OLAS/SCL WASH Household Survey Dataset - Regional Estimates

    mydata.iadb.org | Last Updated 2024-09-27T21:11:28.000Z

    This dataset provides regional estimates for the indicators in the OLAS/SCL WASH Household Survey Dataset: https://mydata.iadb.org/Water-and-Sanitation/OLAS-SCL-WASH-Household-Survey-Dataset/bjat-gfsm For information on how the dataset was generated, please refer to the methodology document.

  • API

    OLAS Population-based Water Stress and Risk Dataset for Latin America and the Caribbean

    mydata.iadb.org | Last Updated 2023-06-15T08:22:16.000Z

    LAC is the most water-rich region in the world by most metrics; however, water resource distribution throughout the region does not correspond demand. To understand water risk throughout the region, this dataset provides population and land area estimates for factors related to water risk, allowing users to explore vulnerability throughout the region to multiple dimensions of water risk. This dataset contains estimates of populations living in areas of water stress and risk in 27 countries in Latin America and the Caribbean (LAC) at the municipal level. The dataset contains categories of 18 factors related to water risk and 39 indices of water risk and population estimates within each with aggregations possible at the basin, state, country, and regional level. The population data used to generate this dataset were obtained from the WorldPop project 2020 UN-adjusted population projections, while estimates of water stress and risk come from WRI’s Aqueduct 3.0 Water Risk Framework. Municipal administrative boundaries are from the Database of Global Administrative Areas (GADM). For more information on the methodology users are invited to read IADB Technical Note IDB-TN-2411: “Scarcity in the Land of Plenty”, and WRIs “Aqueduct 3.0: Updated Decision-relevant Global Water Risk Indicators”. | https://www.wri.org/data/aqueduct-global-maps-30-data | | https://www.worldpop.org/ | | https://gadm.org/ |