The water area of Broken Arrow, OK was 1 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 Broken Arrow, OK

  • API

    Water Point Data Exchange - Plus (WPdx+)

    data.waterpointdata.org | Last Updated 2024-05-14T06:08:14.000Z

    WPdx+ is an enhanced version of the WPdx-Basic dataset. For a full comparison between the two datasets, please visit our blog at https://www.waterpointdata.org/2021/10/07/introducing-wpdx-plus/. The Water Point Data Exchange (WPdx) is the global platform for sharing water point data. The WPdx Data Standard was designed by a wide range of stakeholders from across sectors and around the world. The core attributes included in the standard are already being collected by governments, researchers, and organizations around the world. To read more about the standard or to contribute water point data visit www.waterpointdata.org.

  • API

    OLAS/SCL WASH Household Survey Dataset

    mydata.iadb.org | Last Updated 2024-03-19T20:08:38.000Z

    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.

  • 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.

  • API

    NYC Building Energy and Water Data Disclosure for Local Law 84 (2023-Present)

    data.cityofnewyork.us | Last Updated 2023-08-30T18:55:16.000Z

    Local Law 84 of 2009 (LL84) requires annual energy and water benchmarking data to be submitted by owners of buildings with more than 50,000 square feet. This data is collected via the Environmental Protection Agency's (EPA) <a href="https://www.energystar.gov/buildings/tools-and-resources/portfolio-manager-0">Portfolio Manager website</a> Each property is identified by it's EPA assigned property ID, and can contain one or more tax lots identified by one or more BBLs (Borough, Block, Lot) or one or more buildings identified by one or more building identification numbers (BIN) Please visit <a href="https://www1.nyc.gov/site/buildings/codes/benchmarking.page">DOB's Benchmarking and Energy Efficiency Rating page</a> for additional information.

  • API

    Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Maternal Health and Household Sanitation

    data.usaid.gov | Last Updated 2018-11-13T05:02:49.000Z

    This dataset captures data about the mothers in the households surveyed as part of the Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda as well as the water and sanitation resources available to the household. This dataset contains data from Modules F and J of the questionnaire and has 295 columns and 4,766 rows. In fiscal year 2012, USAID's Office of Food for Peace (FFP) awarded funding to private voluntary organizations (PVOs) to design and implement a multi-year Title II development food assistance program in Uganda. The main purpose of the Title II program is to improve long-term food security of chronically food insecure population in the target regions. FFP contracted a firm, ICF International to conduct a baseline study in targeted areas of the country prior to the start of the new program. The purpose of the study was to assess the current status of key indicators, have a better understanding of prevailing conditions and perceptions of the population in the implementation areas, and serve as a point of comparison for future final evaluations. Results would also be used to further refine program targeting and, where possible, to understand the relationship between variables to inform program design. The study was conducted in 2013, while FFP expects to conduct final evaluations as close as possible to the end of the program five years later. The data asset is comprised of six datasets: 1) a description of all members of the households surveyed, 2) data on maternal health and sanitation practices, 3) data about the children in the household, 4) data describing the agricultural practices of the household, 5) data describing the food consumption of the household (broken into 4 smaller spreadsheets), and 6) and a description of the weights that should be applied during the analysis of the other datasets.

  • 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

  • API

    Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda--Child Health

    data.usaid.gov | Last Updated 2018-11-13T05:02:49.000Z

    This dataset describes the children and their health interviewed as part of Baseline Study of Food for Peace Title II Development Food Assistance Program in Karamoja, Uganda. This dataset contains data from Module D of the questionnaire and has 201 columns and 6,001 rows. In fiscal year 2012, USAID's Office of Food for Peace (FFP) awarded funding to private voluntary organizations (PVOs) to design and implement a multi-year Title II development food assistance program in Uganda. The main purpose of the Title II program is to improve long-term food security of chronically food insecure population in the target regions. FFP contracted a firm, ICF International to conduct a baseline study in targeted areas of the country prior to the start of the new program. The purpose of the study was to assess the current status of key indicators, have a better understanding of prevailing conditions and perceptions of the population in the implementation areas, and serve as a point of comparison for future final evaluations. Results would also be used to further refine program targeting and, where possible, to understand the relationship between variables to inform program design. The study was conducted in 2013, while FFP expects to conduct final evaluations as close as possible to the end of the program five years later. The data asset is comprised of six datasets: 1) a description of all members of the households surveyed, 2) data on maternal health and sanitation practices, 3) data about the children in the household, 4) data describing the agricultural practices of the household, 5) data describing the food consumption of the household (broken into 4 smaller spreadsheets), and 6) and a description of the weights that should be applied during the analysis of the other datasets.