The land area of Orange County, CA was 791 in 2018. The land area of Honolulu County, HI was 601 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 Orange County, CA or Honolulu County, HI
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Vital Signs: Migration - Bay Area
data.bayareametro.gov | Last Updated 2019-10-25T20:40:04.000ZVITAL SIGNS INDICATOR Migration (EQ4) FULL MEASURE NAME Migration flows LAST UPDATED December 2018 DESCRIPTION Migration refers to the movement of people from one location to another, typically crossing a county or regional boundary. Migration captures both voluntary relocation – for example, moving to another region for a better job or lower home prices – and involuntary relocation as a result of displacement. The dataset includes metropolitan area, regional, and county tables. DATA SOURCE American Community Survey County-to-County Migration Flows 2012-2015 5-year rolling average http://www.census.gov/topics/population/migration/data/tables.All.html CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) Data for migration comes from the American Community Survey; county-to-county flow datasets experience a longer lag time than other standard datasets available in FactFinder. 5-year rolling average data was used for migration for all geographies, as the Census Bureau does not release 1-year annual data. Data is not available at any geography below the county level; note that flows that are relatively small on the county level are often within the margin of error. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area, in addition to the primary MSAs for the nine other major metropolitan areas, by aggregating county data based on current metropolitan area boundaries. Data prior to 2011 is not available on Vital Signs due to inconsistent Census formats and a lack of net migration statistics for prior years. Only counties with a non-negligible flow are shown in the data; all other pairs can be assumed to have zero migration. Given that the vast majority of migration out of the region was to other counties in California, California counties were bundled into the following regions for simplicity: Bay Area: Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, Sonoma Central Coast: Monterey, San Benito, San Luis Obispo, Santa Barbara, Santa Cruz Central Valley: Fresno, Kern, Kings, Madera, Merced, Tulare Los Angeles + Inland Empire: Imperial, Los Angeles, Orange, Riverside, San Bernardino, Ventura Sacramento: El Dorado, Placer, Sacramento, Sutter, Yolo, Yuba San Diego: San Diego San Joaquin Valley: San Joaquin, Stanislaus Rural: all other counties (23) One key limitation of the American Community Survey migration data is that it is not able to track emigration (movement of current U.S. residents to other countries). This is despite the fact that it is able to quantify immigration (movement of foreign residents to the U.S.), generally by continent of origin. Thus the Vital Signs analysis focuses primarily on net domestic migration, while still specifically citing in-migration flows from countries abroad based on data availability.
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Reserves | Statewide GIS Program
highways.hidot.hawaii.gov | Last Updated 2023-02-18T00:14:27.000ZVarious reserves, preserves, parks, etc. as of December 2019. Reserve boundaries are generally based on the County's tax map key (TMK) layer. Kauai County TMK 2012, Maui County TMK 2016, Honolulu and Hawaii Counties 2017. Since boundaries from other agencies are derived from different source scales, these boundaries are modified to match the TMK layer with exceptions. Note: Kaumahina State Recreation Area on Maui was digitized from USGS 7.5 minute topographic map. Update to West Maui FR 10/19; Addition to Lihue-Koloa FR 8/19; Update to Honolulu FR, Waimanalo FR and Round Top FR 7/18/18; Addition of Honouliuli NM 1/30/17; Addition of Kiholo SPR 11/03/17; Updated Puu Ka Pele FR; Nounou FR; Na Pali Kona FR; Kaohe Mitigation 9/27/17; Na Pali Kona FR & Alakai WP 6/29/17; Update to Pouhala Marsh WS and Kanaha Pond WS 5/31/17; Added Kalauao FR, Update to Waimanalo FR and Mana FR 5/16/17; Update to Kawainui Marsh W.S. 4/12/17; Update to Honolulu FR and Mauna Kea FR 01/20/17; Addition of Kure WS10/24/16. Update to Island of Oahu Waiahole FR and Kaneohe FR 9/30/16; Molokai FR and Kipahulu FR 7/7/16; Island of Hawaii Kohala FR, Hamakua FR, Mauna Kea FR, Honualua FR, Malama-Ki FR and Puu O Umi NAR 4/15/16; Forest Reserves (Kauai, Oahu, and Hawaii); Natural Area Reservess (Hawaii and Maui); National Wildlife Refuges (Statewide); National Parks (Hawaii and Maui); The Nature Conservancy (Hawaii and Maui). Additional updates to: Nanakuli F.R., Lualualei F.R., Honouliuli F.R. 2/18/16; Maui Motocross Track 2/8/16; Honuaula F.R., Kohala F.R. (Waimanu Sec.),Kaohe Mitigation & Puu Mali Mitigation1/28/16; Kahua Coop GMA 12/16/15; Waimanalo Forest Reserve 10/2/15; Kuia NAR 9/22 /15; removed Ookala Coop GMA 12/16/15. For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/reserves_summary.pdf or contact Hawaii Statewide GIS Program, Office of Planning, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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Hawaii County DFIRM
highways.hidot.hawaii.gov | Last Updated 2021-09-11T00:39:28.000ZDigital Flood Insurance Rate Map (DFIRM), FEMA Special Flood Hazard Areas (SFHA) for Hawaii County. Source: Federal Emergency Management Agency (FEMA), May 1, 2021. For additional information, please refer to https://files.hawaii.gov/dbedt/op/gis/data/s_fld_haz_ar_state.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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MIP 2012 - Agricultural Preserves
highways.hidot.hawaii.gov | Last Updated 2023-03-24T00:03:33.000Z2012 Maui Island Plan Boundaries - Agricultural Preserves Layer. Source: Maui County Planning Department, August 2022. See also Maui Island Plan Growth Areas, Maui Island Plan Growth Boundaries, Maui Island Plan Protected Areas layers. Maui Island Plan Growth Boundaries adjusted to Maui County Finance Department Real Property Assessment Division’s daily parcels, early 2022. Some boundaries match Real Property Assessment’s 2022 parcel release but some are aligned to parcels which were refined after that release. Maui Island Plan was passed in 2012. Growth Boundaries, Growth Areas, Protected Areas, and Agricultural Preserves are defined by documents available here: https://www.mauicounty.gov/1503/Maui-Island-Plan. GIS layers are based on the documents but are aligned to match features like parcels, roads, and boundaries visible on Pictometry imagery. For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/maui_island_plan.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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Maui County DFIRM
highways.hidot.hawaii.gov | Last Updated 2021-09-11T03:29:38.000ZDigital Flood Insurance Rate Map (DFIRM), FEMA Special Flood Hazard Areas (SFHA) for Maui County. Source: Federal Emergency Management Agency (FEMA), May 1, 2021. For additional information, please refer to https://files.hawaii.gov/dbedt/op/gis/data/s_fld_haz_ar_state.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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Oahu DFIRM
highways.hidot.hawaii.gov | Last Updated 2021-09-11T04:02:43.000ZDigital Flood Insurance Rate Map (DFIRM), FEMA Special Flood Hazard Areas (SFHA) for City and County of Honolulu. Source: Federal Emergency Management Agency (FEMA), May 1, 2021. For additional information, please refer to https://files.hawaii.gov/dbedt/op/gis/data/s_fld_haz_ar_state.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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Kauai County DFIRM
highways.hidot.hawaii.gov | Last Updated 2023-04-19T20:05:24.000ZDigital Flood Insurance Rate Map (DFIRM), FEMA Special Flood Hazard Areas (SFHA) for Kauai County. Source: Federal Emergency Management Agency (FEMA), May 1, 2021. For additional information, please refer to https://files.hawaii.gov/dbedt/op/gis/data/s_fld_haz_ar_state.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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Hawaii County DFIRM
highways.hidot.hawaii.gov | Last Updated 2023-03-24T01:16:29.000ZDigital Flood Insurance Rate Map (DFIRM), FEMA Special Flood Hazard Areas (SFHA) for Hawaii County. Source: Federal Emergency Management Agency (FEMA), May 1, 2021. For additional information, please refer to https://files.hawaii.gov/dbedt/op/gis/data/s_fld_haz_ar_state.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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Honolulu County Council Districts
highways.hidot.hawaii.gov | Last Updated 2023-04-24T14:28:02.000ZCounty Council District Boundaries for the City and County of Honolulu as adopted and filed by the 2021 Honolulu Council Reapportionment Commision. Note: This layer depicts Oahu land areas only - it does not depict Northwest Hawaiian Islands. Source: City and County of Honolulu Elections Division Web Page (https://www.honolulu.gov/elections/reapportionment.html),April 2022. For more information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/cty_council_dist.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.
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Land Use_data
opendata.utah.gov | Last Updated 2024-04-10T19:40:16.000ZThis dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe’s Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe’s Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.