The water area of Baker, LA was 0 in 2017.

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 Baker, LA

  • API

    Property Information

    data.brla.gov | Last Updated 2024-09-30T11:01:01.000Z

    This dataset is a combination of attribute information from the master address table and the lot or property records table. The address points are created within a building footprint and in the case where there is no building, then the point is the center of the lot. The address information comes from a variety of sources including final subdivision plats, building permits, E-911 master street address guide (MSAG) database, Polk City Directory, and field data collection.

  • API

    City Limits

    data.brla.gov | Last Updated 2024-09-27T22:00:48.000Z

    <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>Polygon features with attributes displaying the corporate limits of Baker, Baton Rouge, Central, and Zachary in East Baton Rouge Parish, Louisiana.</SPAN></P><P><SPAN /></P><P><A href="http://city.brla.gov/gis/metadata/CITY_LIMIT.html" STYLE="text-decoration:underline;"><SPAN>Metadata</SPAN></A></P></DIV>

  • API

    Traffic Camera

    data.brla.gov | Last Updated 2022-10-19T14:10:55.000Z

    Point geometry with attributes displaying Louisiana Department of Transportation and Development traffic cameras in the Greater Baton Rouge, Louisiana area.

  • 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

    Green Infrastructure Water Capture Capacity

    data.lacity.org | Last Updated 2020-11-30T17:22:16.000Z

    Green infrastructure is designed to capture and infiltrate or filter stormwater runoff through natural systems. This dataset is used in combination with precipitation numbers to update the stormwater dashboard (in progress) and Sustainable City pLAn. It is refreshed as new projects are created.

  • API

    Existing Buildings Energy & Water Efficiency (EBEWE) Program

    data.lacity.org | Last Updated 2024-09-29T08:01:05.000Z

    The City's Existing Buildings Energy & Water Efficiency (EBEWE) Program was established in 2016 (LA Municipal Code Section 91.9701, Ordinance No. 184674) and is administered by the Department of Building and Safety(LADBS). It requires that owners of buildings subject to the Ordinance, to annually register their building (includes pay fees) and file a benchmark report of energy and water usage for their buildings for the Compliance Year. The EBEWE dataset includes the Compliance Year, Building Address, Compliance Status, various energy and water use benchmark data, and the last 3 digits of the Assessor Identification Number (AIN). For a complete explanation of the Program, including reporting requirements, please visit LADBS' EBEWE site at http://www.ladbs.org/services/green-building-sustainability/existing-buildings-energy-water-efficiency-program.

  • API

    Water Quality (LA)

    usc.data.socrata.com | Last Updated 2018-08-14T19:07:54.000Z

    </p> <p><a href="https://usc.data.socrata.com/stories/s/s54u-bkbd/" target="_blank"><b>Learn More</b></a></p>

  • API

    City Infrastructure Needs

    data.orcities.org | Last Updated 2016-08-08T23:16:13.000Z

    Information provided by respondent cities through the 2016 LOC Infrastructure Survey. Data is and aggregation of capital projects needs for the next 20 years.

  • 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/SCL WASH Household Survey Dataset

    mydata.iadb.org | Last Updated 2024-09-20T19:54:24.000Z

    The OLAS/SCL Household Survey Data Set contains 47 water and sanitation related indicators generated from microdata from national household surveys throughout the region. The data set contains information from 2003-2022 for 22 countries throughout Latin America and the Caribbean. Indicators are provided in terms of household percentage and total households that fall into each category, and can be broken down by various socioeconomic dimensions, including area (urban or rural community), income quintile, migratory status, ethnicity, and disability status. This dataset is the result of a collaboration between INE/WSA and SCL, and is a subset of the larger IDB SCL Indicators dataset.