The land area of Window Rock, AZ was 5 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 -
Geographic and Area Datasets Involving Window Rock, AZ
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City of Mesa Population
citydata.mesaaz.gov | Last Updated 2024-07-01T14:40:25.000ZCity of Mesa population provided by Census Bureau Population Estimates Program (PEP) updated annually as of July 1. See <b><a href="https://www.census.gov/programs-surveys/popest/data/tables.html?utm_campaign=20240516pio&utm_medium=email&utm_source=govdelivery">Population and Housing Unit Estimates.</b></a> Census PEP estimates are used for state revenue sharing per AZ statute (42-5033.01). <b>This dataset is the authoritative source for all city metrics such as Crimes or Traffic Collisions per 1,000 residents.</b> 2024-2040 population projections provided by Maricopa County Association of Governments (MAG) and adopted June 2023. MAG's planning area and incorporated jurisdiction projections are published at <b><a href="https://azmag.gov/Portals/0/Maps-Data/Population-Housing/MAG-Socioeconomic-Projections-Report-2023.pdf?ver=02iYbZGsxK1mEY4JfIy5ZQ%3d%3d">2023 MAG Socioeconomic Projections</b></a> Other sources of population estimates include US Census American Community Survey 1-year and 5-year Estimates at https://citydata.mesaaz.gov/d/n5gn-m5c3 and https://citydata.mesaaz.gov/Economic-Development/d/9nqf-ygw6, Arizona Office of Economic Opportunity (OEO) at https://www.azcommerce.com/oeo/population/population-estimates/ (see link for OEO methodology which differs slightly from official US Census Estimates) and City of Mesa Office of Economic Development at https://www.selectmesa.com/business-environment/demographics (ESRI Community Analyst).
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Maricopa County Census Tracts
citydata.mesaaz.gov | Last Updated 2024-08-29T23:01:23.000ZGeospatial attributes of census tracts in Maricopa County, version 2022. Sourced from US Census https://catalog.data.gov/dataset/tiger-line-shapefile-2022-state-arizona-az-census-tract and filtered for County = 013
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County to CBSA Mapping for Large Metros
data.bayareametro.gov | Last Updated 2022-08-26T07:12:04.000ZData contains counties in the following list of CBSAS (per OMB Mar 2020 definition): Bay Area CBSAs: San Francisco-Oakland-Berkeley, CA San Jose-Sunnyvale-Santa Clara, CA Napa, CA Santa Rosa-Petaluma, CA Other CBSAs: Los Angeles-Long Beach-Anaheim, CA Washington-Arlington-Alexandria, DC-VA-MD-WV Denver-Aurora-Lakewood, CO Detroit-Warren-Dearborn, MI Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Boston-Cambridge-Newton, MA-NH New York-Newark-Jersey City, NY-NJ-PA Phoenix-Mesa-Chandler, AZ Houston-The Woodlands-Sugar Land, TX Seattle-Tacoma-Bellevue, WA Atlanta-Sandy Springs-Alpharetta, GA Chicago-Naperville-Elgin, IL-IN-WI Austin-Round Rock-Georgetown, TX Dallas-Fort Worth-Arlington, TX Miami-Fort Lauderdale-Pompano Beach, FL
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Maricopa County Regional Work Zone Data Exchange (WZDx) v1.1 Feed Sample
datahub.transportation.gov | Last Updated 2024-05-13T17:44:37.000ZThe WZDx Specification enables infrastructure owners and operators (IOOs) to make harmonized work zone data available for third party use. The intent is to make travel on public roads safer and more efficient through ubiquitous access to data on work zone activity. Specifically, the project aims to get data on work zones into vehicles to help automated driving systems (ADS) and human drivers navigate more safely. MCDOT leads the effort to aggregate and collect work zone data from the AZTech Regional Partners. A continuously updating archive of the WZDx feed data can be found at <a href="http://usdot-its-workzone-publicdata.s3.amazonaws.com/index.html" target="_blank" rel="noopener">ITS WorkZone Data Sandbox</a>. The live feed is currently compliant with <a href="https://github.com/usdot-jpo-ode/jpo-wzdx/tree/v1.1" target="_blank" rel="noopener">WZDx specification version 1.1</a>.
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RSBS MOM: Part 2 of 2, New York State Residential Statewide Baseline Study: Survey of Multifamily Owners and Managers
data.ny.gov | Last Updated 2019-11-15T21:58:08.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. This is part 2 of 2 (containing: Purchasing Decisions; Washer and Dryer; and Miscellaneous); part 1 (https://data.ny.gov/d/e58s-chjh) contains: Property Characteristics; Heating and Cooling; Water Heating; Tenant Appliances; Lighting; and Common Area. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data from 219 completed Multifamily owner and manager surveys. The types of data collected during the survey cover property characteristics, heating and cooling equipment, water heating equipment, tenant appliances, lighting, purchasing decision, common areas, clothes washing and drying, and miscellaneous equipment. The data is segmented to cover both common space equipment and, to the degree possible, tenant-unit equipment, such as refrigerators or clothes washers that are included in the rental by the building ownership.
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RSBS MOM: Multifamily On-Site Survey, Measure Level, New York State Residential Statewide Baseline Study
data.ny.gov | Last Updated 2019-11-15T22:18:02.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data collected from a total of 67 on-site inspections of multifamily buildings. Data collected during the inspections covers property characteristics, heating and cooling equipment, water heating equipment, appliances, lighting, clothes washing and drying, miscellaneous energy using equipment, and observable operating behavior. The objective of the on-site inspections was to enhance the residential baseline study with detailed on-site information and, to the degree possible, verify self-reported data from the phone and web surveys. The on-site inspection data is segmented to cover both common space equipment and tenant-unit equipment.
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2009-2013: ECAD Residential Energy Audit Data
datahub.austintexas.gov | Last Updated 2024-03-29T21:29:41.000ZThis report is the result of Austin City Code 6-7’s Energy Conservation Audit and Disclosure Ordinance approved in November 2008 (amended in April 2011) to improve the energy efficiency of homes and buildings that receive electricity from Austin Energy. The ordinance meets one of the goals of the Austin Climate Protection Plan, which is to offset 800 megawatts of peak energy demand by 2020. This report contains information on residential dwellings that have reported the results of the ECAD audit (*) to the City of Austin prior to 2014. For information on ECAD exemptions and other requirements, see Austin City Code Chapter 6-7. *Note – (*) Data reported by Residential Energy Auditors
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RSBS MOM: Part 1 of 2, New York State Residential Statewide Baseline Study: Survey of Multifamily Owners and Managers
data.ny.gov | Last Updated 2019-11-15T22:04:57.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. This is part 1 (containing: Property Characteristics; Heating and Cooling; Water Heating; Tenant Appliances; Lighting; and Common Area) of 2; part 2 (https://data.ny.gov/d/hc4z-b2p5) contains: Purchasing Decisions; Washer and Dryer; and Miscellaneous. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data from 219 completed Multifamily owner and manager surveys. The types of data collected during the survey cover property characteristics, heating and cooling equipment, water heating equipment, tenant appliances, lighting, purchasing decision, common areas, clothes washing and drying, and miscellaneous equipment. The data is segmented to cover both common space equipment and, to the degree possible, tenant-unit equipment, such as refrigerators or clothes washers that are included in the rental by the building ownership.
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RSBS MOM: Multifamily On-Site Inspections, Site Level, New York State Residential Statewide Baseline Study
data.ny.gov | Last Updated 2019-11-15T22:10:45.000ZHow does your organization use this dataset? What other NYSERDA or energy-related datasets would you like to see on Open NY? Let us know by emailing OpenNY@nyserda.ny.gov. The New York State Energy Research and Development Authority (NYSERDA), in collaboration with the New York State Department of Public Service (DPS), conducted a statewide residential baseline study (study) from 2011 to 2014 of the single-family and multifamily residential housing segments, including new construction, and a broad range of energy uses and efficiency measures. This dataset includes data collected from a total of 67 on-site inspections of multifamily buildings. Data collected during the inspections covers property characteristics, heating and cooling equipment, water heating equipment, appliances, lighting, clothes washing and drying, miscellaneous energy using equipment, and observable operating behavior. The objective of the on-site inspections was to enhance the residential baseline study with detailed on-site information and, to the degree possible, verify self-reported data from the phone and web surveys. The on-site inspection data is segmented to cover both common space equipment and tenant-unit equipment.
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Building Permits: Addition/Alteration
data.cambridgema.gov | Last Updated 2024-10-14T11:31:07.000ZList of permits related to the construction or the alteration of existing buildings in Cambridge. These permits cover construction that changes the structure, the footprint, or the volume of the building. This includes decks, porches, and additions, as well any reconstruction, renovation or repair to an existing structure. This dataset derives from Cambridge's ViewPoint permitting system.