The water area of Fairfax, SC was 0 in 2010.
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 Fairfax, SC
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Special Protection Area Review Data
data.montgomerycountymd.gov | Last Updated 2024-09-12T09:40:27.000ZA Special Protection Area (SPA) is a geographic area designated by the County Council which has high quality or unusually sensitive water resources and environmental features that would be threatened by proposed land development if special water quality protection measures were not applied. This dataset tracks reviews for development in all SPAs. Update Frequency : Daily.
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Opportunity Zones
data.delaware.gov | Last Updated 2023-01-12T18:55:22.000ZOpportunity Zones are a new community development program established by Congress as a part of the Tax Cuts and Jobs Act of 2017, they are designed to encourage long-term private investments in low-income communities. This program provides a federal tax incentive for taxpayers who reinvest unrealized capital gains into "Opportunity Funds," which are specialized vehicles dedicated to investing in low-income areas called "Opportunity Zones."The zones themselves are to be comprised of low-income community census tracts and designated by governors in every state. South Carolina designated 25 percent of qualifying census tracts as an Opportunity Zone. Qualifying Zones are based on the 2011-2015 American Community Survey.
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Stormwater Management Concept Information
data.montgomerycountymd.gov | Last Updated 2024-10-15T09:50:15.000ZA stormwater management concept is a statement or drawing, or both, describing the manner in which stormwater runoff from a proposed development will be controlled to minimize damage to neighboring properties and receiving streams and to also prevent the discharge of pollutants into surface waters. Update Frequency : Daily.
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Current Descriptive Data of Municipal Wastewater Treatment Plants
data.ny.gov | Last Updated 2019-06-10T18:04:47.000ZData containing municipal wastewater treatment plant design other features, with data current through the most recent survey.
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Service Requests since 2016
data.memphistn.gov | Last Updated 2024-10-25T05:14:52.000ZThis dataset contains all service requests that were created since 01-January-2016
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Mosquito Larval Counts
data.edmonton.ca | Last Updated 2024-10-21T18:04:44.000ZRecords of pools (bodies of water) sampled by city staff for presence of mosquito larvae.
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Vital Signs: Jobs by Metro Area (2022)
data.bayareametro.gov | Last Updated 2023-06-13T17:54:51.000ZVITAL SIGNS INDICATOR Jobs (LU2) FULL MEASURE NAME Employment estimates by place of work LAST UPDATED October 2022 DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees. DATA SOURCE Bureau of Labor Statistics, Quarterly Census of Employment and Wages - https://www.bls.gov/cew/downloadable-data-files.htm 1990-2021 U.S. Census Bureau: LODES Data - http://lehd.ces.census.gov/ Longitudinal Employer-Household Dynamics Program 2002-2018 METHODOLOGY NOTES (across all datasets for this indicator) Quarterly Census of Employment and Wages (QCEW) monthly employment data represent the number of covered workers who worked during, or received pay for, the pay period that included the 12th day of the month. Covered employees in the private-sector and in the state and local government include most corporate officials, all executives, all supervisory personnel, all professionals, all clerical workers, many farmworkers, all wage earners, all piece workers and all part-time workers. Workers on paid sick leave, paid holiday, paid vacation and the like are also covered. Besides excluding the aforementioned national security agencies, QCEW excludes proprietors, the unincorporated self-employed, unpaid family members, certain farm and domestic workers exempted from having to report employment data and railroad workers covered by the railroad unemployment insurance system. Excluded as well are workers who earned no wages during the entire applicable pay period because of work stoppages, temporary layoffs, illness or unpaid vacations. For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of cities included in a sub-county is one for San Francisco and San Jose and more than one for all other sub-counties. Estimates for sub-county areas are the sums of Census block-level estimates from the U.S. Census Bureau: LEHD data. The following incorporated cities and towns are included in each sub-county area: - North Alameda County: Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont - East Alameda County: Dublin, Livermore, Pleasanton - South Alameda County: Fremont, Hayward, Newark, San Leandro, Union City - Central Contra Costa County: Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek - East Contra Costa County: Antioch, Brentwood, Oakley, Pittsburg - West Contra Costa County: El Cerrito, Hercules, Pinole, Richmond, San Pablo - Marin County: Belvedere, Corte Madera, Fairfax, Larkspur, Mill Valley, Novato, Ross, San Anselmo, San Rafael, Sausalito, Tiburon - Napa County: American Canyon, Calistoga, Napa, St. Helena, Yountville - San Francisco County: San Francisco - North San Mateo County: Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco - Central San Mateo County: Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo - South San Mateo County: East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside, Atherton - North Santa Clara County: Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale - San Jose: San Jose - Southwest Santa Clara County: Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga - South Santa Clara County: Gilroy, Morgan Hill - East Solano County: Dixon, Fairfield, Rio Vista, Suisun City, Vacaville - South Solano County: Benicia, Vallejo - North Sonoma County: Cloverdale, Healdsburg, Windsor - South Sonoma County: Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma
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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.
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Vital Signs: Jobs by County (2022)
data.bayareametro.gov | Last Updated 2023-06-13T17:54:49.000ZVITAL SIGNS INDICATOR Jobs (LU2) FULL MEASURE NAME Employment estimates by place of work LAST UPDATED October 2022 DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees. DATA SOURCE Bureau of Labor Statistics, Quarterly Census of Employment and Wages - https://www.bls.gov/cew/downloadable-data-files.htm 1990-2021 U.S. Census Bureau: LODES Data - http://lehd.ces.census.gov/ Longitudinal Employer-Household Dynamics Program 2002-2018 METHODOLOGY NOTES (across all datasets for this indicator) Quarterly Census of Employment and Wages (QCEW) monthly employment data represent the number of covered workers who worked during, or received pay for, the pay period that included the 12th day of the month. Covered employees in the private-sector and in the state and local government include most corporate officials, all executives, all supervisory personnel, all professionals, all clerical workers, many farmworkers, all wage earners, all piece workers and all part-time workers. Workers on paid sick leave, paid holiday, paid vacation and the like are also covered. Besides excluding the aforementioned national security agencies, QCEW excludes proprietors, the unincorporated self-employed, unpaid family members, certain farm and domestic workers exempted from having to report employment data and railroad workers covered by the railroad unemployment insurance system. Excluded as well are workers who earned no wages during the entire applicable pay period because of work stoppages, temporary layoffs, illness or unpaid vacations. For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of cities included in a sub-county is one for San Francisco and San Jose and more than one for all other sub-counties. Estimates for sub-county areas are the sums of Census block-level estimates from the U.S. Census Bureau: LEHD data. The following incorporated cities and towns are included in each sub-county area: - North Alameda County: Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont - East Alameda County: Dublin, Livermore, Pleasanton - South Alameda County: Fremont, Hayward, Newark, San Leandro, Union City - Central Contra Costa County: Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek - East Contra Costa County: Antioch, Brentwood, Oakley, Pittsburg - West Contra Costa County: El Cerrito, Hercules, Pinole, Richmond, San Pablo - Marin County: Belvedere, Corte Madera, Fairfax, Larkspur, Mill Valley, Novato, Ross, San Anselmo, San Rafael, Sausalito, Tiburon - Napa County: American Canyon, Calistoga, Napa, St. Helena, Yountville - San Francisco County: San Francisco - North San Mateo County: Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco - Central San Mateo County: Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo - South San Mateo County: East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside, Atherton - North Santa Clara County: Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale - San Jose: San Jose - Southwest Santa Clara County: Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga - South Santa Clara County: Gilroy, Morgan Hill - East Solano County: Dixon, Fairfield, Rio Vista, Suisun City, Vacaville - South Solano County: Benicia, Vallejo - North Sonoma County: Cloverdale, Healdsburg, Windsor - South Sonoma County: Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma
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Vital Signs: Jobs by Sub-County (2022)
data.bayareametro.gov | Last Updated 2023-06-13T17:54:49.000ZVITAL SIGNS INDICATOR Jobs (LU2) FULL MEASURE NAME Employment estimates by place of work LAST UPDATED October 2022 DESCRIPTION Jobs refers to the number of employees in a given area by place of work. These estimates do not include self-employed and private household employees. DATA SOURCE Bureau of Labor Statistics, Quarterly Census of Employment and Wages - https://www.bls.gov/cew/downloadable-data-files.htm 1990-2021 U.S. Census Bureau: LODES Data - http://lehd.ces.census.gov/ Longitudinal Employer-Household Dynamics Program 2002-2018 METHODOLOGY NOTES (across all datasets for this indicator) Quarterly Census of Employment and Wages (QCEW) monthly employment data represent the number of covered workers who worked during, or received pay for, the pay period that included the 12th day of the month. Covered employees in the private-sector and in the state and local government include most corporate officials, all executives, all supervisory personnel, all professionals, all clerical workers, many farmworkers, all wage earners, all piece workers and all part-time workers. Workers on paid sick leave, paid holiday, paid vacation and the like are also covered. Besides excluding the aforementioned national security agencies, QCEW excludes proprietors, the unincorporated self-employed, unpaid family members, certain farm and domestic workers exempted from having to report employment data and railroad workers covered by the railroad unemployment insurance system. Excluded as well are workers who earned no wages during the entire applicable pay period because of work stoppages, temporary layoffs, illness or unpaid vacations. For measuring jobs below the county level, Vital Signs assigns collections of incorporated cities and towns to sub-county areas. For example, the cities of East Palo Alto, Menlo Park, Portola Valley, Redwood City and Woodside are considered South San Mateo County. Because Bay Area counties differ in footprint, the number of cities included in a sub-county is one for San Francisco and San Jose and more than one for all other sub-counties. Estimates for sub-county areas are the sums of Census block-level estimates from the U.S. Census Bureau: LEHD data. The following incorporated cities and towns are included in each sub-county area: - North Alameda County: Alameda, Albany, Berkeley, Emeryville, Oakland, Piedmont - East Alameda County: Dublin, Livermore, Pleasanton - South Alameda County: Fremont, Hayward, Newark, San Leandro, Union City - Central Contra Costa County: Clayton, Concord, Danville, Lafayette, Martinez, Moraga, Orinda, Pleasant Hill, San Ramon, Walnut Creek - East Contra Costa County: Antioch, Brentwood, Oakley, Pittsburg - West Contra Costa County: El Cerrito, Hercules, Pinole, Richmond, San Pablo - Marin County: Belvedere, Corte Madera, Fairfax, Larkspur, Mill Valley, Novato, Ross, San Anselmo, San Rafael, Sausalito, Tiburon - Napa County: American Canyon, Calistoga, Napa, St. Helena, Yountville - San Francisco County: San Francisco - North San Mateo County: Brisbane, Colma, Daly City, Millbrae, Pacifica, San Bruno, South San Francisco - Central San Mateo County: Belmont, Burlingame, Foster City, Half Moon Bay, Hillsborough, San Carlos, San Mateo - South San Mateo County: East Palo Alto, Menlo Park, Portola Valley, Redwood City, Woodside, Atherton - North Santa Clara County: Los Altos, Los Altos Hills, Milpitas, Mountain View, Palo Alto, Santa Clara, Sunnyvale - San Jose: San Jose - Southwest Santa Clara County: Campbell, Cupertino, Los Gatos, Monte Sereno, Saratoga - South Santa Clara County: Gilroy, Morgan Hill - East Solano County: Dixon, Fairfield, Rio Vista, Suisun City, Vacaville - South Solano County: Benicia, Vallejo - North Sonoma County: Cloverdale, Healdsburg, Windsor - South Sonoma County: Cotati, Petaluma, Rohnert Park, Santa Rosa, Sebastopol, Sonoma