The land area of Little Rock, AR was 119 in 2018.

Land Area

Water Area

Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.

Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.

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 Area Datasets Involving Little Rock, AR

  • API

    Central Arkansas Library Locations WiFi

    data.littlerock.gov | Last Updated 2021-02-12T16:11:14.000Z

    This dataset contains the names and locations of Central Arkansas Library branches in Little Rock that have WiFi access available. CALS-Guest1

  • API

    Fire Atoms

    data.littlerock.gov | Last Updated 2023-09-10T00:11:32.000Z

    Little Rock Fire Department's Atoms represent the detailed response areas for each of our Fire Districts. Each polygon represents a dispatch code, or "Atom", for a unique dispatch sequence, an ordered list of the nearest patrol districts, used for reference by the Fire Dispatcher.

  • API

    Annexations

    data.littlerock.gov | Last Updated 2023-09-07T02:07:17.000Z

    This dataset contains the Geographic Information Systems (GIS) data for the City of Little Rock Annexation boundaries.

  • API

    Minority Owned Business Enterprise

    data.littlerock.gov | Last Updated 2023-08-15T14:48:07.000Z

    This data set provides a list of Minority Owned Business in the City of Little Rock.

  • API

    American Rescue Plan Act Spending (Year to Date)

    data.littlerock.gov | Last Updated 2024-03-11T20:51:38.000Z

    This dataset shows how the City of Little Rock has spent American Rescue Plan Act dollars.

  • API

    Austin's Small Scale Green Infrastructure

    datahub.austintexas.gov | Last Updated 2023-04-10T13:41:07.000Z

    A rain garden is a low area that absorbs and filters rain water runoff that comes from roofs, sidewalks, and driveways. Rain runs off the hard surfaces, collects in the shallow depression, and slowly soaks into the soil. They are usually planted with colorful native plants and grasses. Every little bit helps to conserve water. Currently we are tracking rain garden bioswale, cistern, and green roofs.

  • API

    National Flood Hazard Layer (HESS)

    data.bayareametro.gov | Last Updated 2023-06-09T17:38:07.000Z

    National Flood Hazard Layer (NFHL) for development of the Parcel Inventory dataset for the Housing Element Site Selection (HESS) Pre-Screening Tool. This NFHL data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA), and any Letters of Map Revision (LOMRs) that have been issued against those databases since their publication date. It is updated on a monthly basis. The FIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper FIRMs. The FIRM Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The FIRM Database is derived from Flood Insurance Studies (FISs), previously published FIRMs, flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by FEMA. In addition to the identification of Special Flood Hazard Areas, the risk zones shown on the FIRMs are the basis for the establishment of premium rates for flood coverage offered through the National Flood Insurance Program. The FIRM Database presents the flood risk information depicted on the FIRM in a digital format suitable for use in electronic mapping applications. The FIRM Database serves to archive the information collected during the Flood Risk Project. ** This flood zone data should not be used for flood insurance purposes, but rather hazard mapping. FIRM data retrieved directly from the FEMA should be used for insurance programs. Source data, by county, was downloaded from https://msc.fema.gov/portal/advanceSearch.

  • API

    CDPH Environmental Inspections

    data.cityofchicago.org | Last Updated 2024-05-08T16:27:16.000Z

    Inspections conducted by the Department of Environment (DOE) from April, 1997 to December 31, 2011 and by the Department of Public Health (CDPH) since January 1, 2012. On January 1, 2012, the Department of Environment was disbanded and all its inspection, permitting, and enforcement authorities were transferred to the CDPH. Data fields requiring description are detailed below. INSPECTION ID: This is the unique identifier of the inspection. DOE inspection records are prefixed with “DOEINS.” CDPH inspections are numeric. INSPECTION NAME: This is the name of the site that was inspected. This is usually the company/owner name, address, or building name. MAPPED LOCATION: Contains the latitude/longitude coordinates of the facility. The latitude/longitude coordinate is determined through the Chicago Open Data Portal’s geocoding process. INSPECTOR: Contains the name of the inspector or engineer who conducted the inspection. INSPECTION CATEGORY: Describes the type of inspection performed. Generally, inspection types can be organized into the following categories: “COMPLAINT RESPONSE” Inspections conducted in response to citizen complaints. See CDPH Environmental Complaints dataset for type of environmental complaints. “SOLID WASTE INSPECTIONS” Inspections of permitted waste facilities and inspections conducted as part of a delegation agreement with the Illinois Environmental Protection Agency. These inspections include inspections of solid and liquid waste handling facilities, recycling facilities, junkyards, compost facilities, temporary and permanent rock crushing facilities and illegal dump sites. “AIR QUALITY INSPECTION”: Inspections of all permitted industrial facilities with potential to emit pollutants into the air, including area sources such as dry cleaners, motor vehicle repair facilities and architectural surface cleaning. “HAZMATS” Inspections conducted in response to a hazardous material incident and typically conducted with the Fire Department’s HAZMAT units. Also includes inspection audits of facilities subject to Tier II reporting under the Emergency Planning and Community Right-to-Know Act (EPCRA) . “NOISE” Inspections conducted in response to noise-related complaints. “TANK INSPECTIONS” Underground Storage Tank (UST) inspections conducted in conjunction with a UST permit and as part of a delegation agreement with the Illinois Office of the State of Fire Marshall (OSFM).These inspections include including UST Removal, UST Abandon, UST Install, UST Upgrade, UST Reline, UST Repair, Stage II and UST Green Decal. This Inspection Type also includes non-OSFM inspections for Aboveground Storage Tank (AST) permits, Abandoned Gas Stations, Leaking Underground Storage Tanks (LUST), UST Emergency Response, historic Filling Station Licenses, and miscellaneous tank inspections. “DEMOLITION/ASBESTOS” Inspections associated with Demolition or NESHAP Notice of Intents (NOIs). See Chapter 11-4 Article XVIII (see http://tinyurl.com/crvyb29). “MISC INSPECTIONS” Other inspections including but not limited Water Pollution, Site Assessment, historic Bus Facility and historic Invasive Species inspections per Chapter 11-4 Article XXII (see http://tinyurl.com/crvyb29) of the Municipal Code. INSPECTION SUB CATEGORY: More specific inspection type under an Inspection Category. INSPECTION DATE: Date when inspection occurred. NARRATIVE: Contains the inspector’s narrative log of the inspection. DATA SOURCE: The city department that collected the data.

  • 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/ |

  • API

    Oil and Gas Annual Production: Beginning 2001

    data.ny.gov | Last Updated 2024-04-30T19:06:49.000Z

    This dataset contains annual production information of oil and gas wells in New York State from 2001 to present.