The land area of El Segundo, CA 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 - 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 El Segundo, CA

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    ADULTOS MAYORES EN ESPERA DE ENTRAR AL PROGRAMA DE SUBSIDIO ECONÓMICO OTORGADO POR COLOMBIA MAYOR EN EL MUNICIPIO DE SINCELEJO

    www.datos.gov.co | Last Updated 2024-04-20T20:28:05.000Z

    Adultos mayores que se encuentran en espera de entrar al programa de subsidio económico otorgado por Colombia mayor en el municipio de Sincelejo.

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    Next Generation Simulation (NGSIM) Vehicle Trajectories and Supporting Data

    datahub.transportation.gov | Last Updated 2024-05-20T18:02:47.000Z

    Click “Export” on the right to download the vehicle trajectory data. The associated metadata and additional data can be downloaded below under "Attachments". Researchers for the Next Generation Simulation (NGSIM) program collected detailed vehicle trajectory data on southbound US 101 and Lankershim Boulevard in Los Angeles, CA, eastbound I-80 in Emeryville, CA and Peachtree Street in Atlanta, Georgia. Data was collected through a network of synchronized digital video cameras. NGVIDEO, a customized software application developed for the NGSIM program, transcribed the vehicle trajectory data from the video. This vehicle trajectory data provided the precise location of each vehicle within the study area every one-tenth of a second, resulting in detailed lane positions and locations relative to other vehicles. Click the "Show More" button below to find additional contextual data and metadata for this dataset. For site-specific NGSIM video file datasets, please see the following: - NGSIM I-80 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-I-80-Vide/2577-gpny - NGSIM US-101 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-US-101-Vi/4qzi-thur - NGSIM Lankershim Boulevard Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Lankershi/uv3e-y54k - NGSIM Peachtree Street Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Peachtree/mupt-aksf

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    San Mateo County And California Crime Rates 2000-2014

    performance.smcgov.org | Last Updated 2016-08-31T20:40:07.000Z

    Violent and property crime rates per 100,000 population for San Mateo County and the State of California. The total crimes used to calculate the rates for San Mateo County include data from: Sheriff's Department Unincorporated, Atherton, Belmont, Brisbane, Broadmoor, Burlingame, Colma, Daly City, East Palo Alto, Foster City, Half Moon Bay, Hillsborough, Menlo Park, Millbrae, Pacifica, Redwood City, San Bruno, San Carlos, San Mateo, South San Francisco, Bay Area DPR, BART, Union Pacific Railroad, and CA Highway Patrol.

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    Conjunto servidores públicos

    www.datos.gov.co | Last Updated 2024-04-20T19:57:29.000Z

    Información de los servidores públicos con una vinculación activa en el Sistema de Información y Gestión del Empleo Público -SIGEP, de acuerdo con el Título 17 del Decreto 1083 de 2015, no se incluye planta privada, personal uniformado, docentes y trabajadores oficiales. Nos interesa conocer su opinión sobre nuestros conjuntos de datos. Lo invitamos a diligenciar esta breve encuesta de satisfacción de datos abiertos: https://www.funcionpublica.gov.co/encuesta-institucional2

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    RC 2 Water Use-2

    data.sustainablesm.org | Last Updated 2022-08-02T23:47:22.000Z

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    Universo de entidades

    www.datos.gov.co | Last Updated 2024-09-15T22:49:15.000Z

    Información básica de las entidades del orden nacional y territorial en relación con su naturaleza jurídica, clasificación orgánica, sector administrativo, tipo de vinculación, nivel, orden, suborden, entre otros. Nos interesa conocer su opinión sobre nuestros conjuntos de datos. Lo invitamos a diligenciar esta breve encuesta de satisfacción de datos abiertos: https://www.funcionpublica.gov.co/encuesta-institucional2

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    California Small Business Covid-19 Relief Grant Program - Richmond Data

    www.transparentrichmond.org | Last Updated 2021-05-18T22:31:11.000Z

    This dataset is publicly available on and was downloaded directly from CA GO-Biz at https://business.ca.gov/coronavirus-2019/. This data includes all California Small Business Covid-19 Relief Grant Program awardees as of 5-13-2021 that applied in Contra Costa County with the Business City as Richmond, Point Richmond, or Hilltop and various spellings of the three aforementioned names. This data has been cleaned to change the "Business City" for businesses who applied with "Point Richmond" or "Hilltop" or various misspellings to "Richmond".

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    Unemployment Rate by City (2022) DRAFT

    data.bayareametro.gov | Last Updated 2023-06-13T17:54:16.000Z

    VITAL SIGNS INDICATOR Unemployment (EC3) FULL MEASURE NAME Unemployment rate by residential location LAST UPDATED December 2022 DESCRIPTION Unemployment refers to the share of the labor force – by place of residence – that is not currently employed full-time or part-time. The unemployment rate reflects the strength of the overall employment market. DATA SOURCE California Employment Development Department: Historical Unemployment Rates 1990-2010 Spreadsheet provided by CAEDD California Employment Development Department: Labor Force and Unemployment Rate for California Sub-County Areas - https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Labor-Force-and-Unemployment-Rate-for-California-S/8z4h-2ak6 2010-2022 California Employment Development Department: Local Area Unemployment Statistics (LAUS) - https://data.edd.ca.gov/Labor-Force-and-Unemployment-Rates/Local-Area-Unemployment-Statistics-LAUS-/e6gw-gvii 1990-2022 U.S. Bureau of Labor Statistics: Local Area Unemployment Statistics (LAUS) - https://download.bls.gov/pub/time.series/la 1990-2021 CONTACT INFORMATION vitalsigns.info@bayareametro.gov METHODOLOGY NOTES (across all datasets for this indicator) Unemployment rates produced by the CA Employment Development Department (EDD) for the region and county levels are not adjusted for seasonality (as they reflect annual data) and are final data (i.e., not preliminary). Unemployment rates produced by U.S. Bureau of Labor Statistics (BLS) for the metro regions are annual and not adjusted for seasonality; they reflect the primary metropolitan statistical area (MSA) for the named region, except for the San Francisco Bay Area which uses the nine-county region. The unemployment rate is calculated based on the number of unemployed persons divided by the total labor force. Note that the unemployment rate can decline or increase as a result of changes in either variable.

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    Resultados de la Medición del Desempeño Institucional

    www.datos.gov.co | Last Updated 2024-04-20T19:57:31.000Z

    Este conjunto de datos contiene los resultados de la medición del desempeño institucional para cada una de las entidades públicas del orden nacional y territorial en el marco de la estructura temática tanto de MIPG como de MECI para las vigencias 2018, 2019, 2020 y 2021. Nos interesa conocer su opinión sobre nuestros conjuntos de datos. Lo invitamos a diligenciar esta breve encuesta de satisfacción de datos abiertos: https://www.funcionpublica.gov.co/encuesta-institucional2

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    Zonificación de aptitud para el cultivo comercial de papa (Solanum tuberosum L.) en Colombia - Segundo semestre.

    www.datos.gov.co | Last Updated 2024-03-26T13:58:45.000Z

    El mapa de zonificación de aptitud para el cultivo comercial de papa (Solanum tuberosum L.) en Colombia, segundo semestre, a escala 1:100.000, es un producto resultante de la aplicación de la metodología de zonificación de aptitud para cultivos comerciales, descrita en el documento: “Cultivo comercial de papa: identificación de zonas aptas en Colombia, a escala 1:100.000, Diciembre 2019.” Categorías: Aptitud Alta: Zonas con las mejores condiciones desde el punto de vista físico, socioecosistémico y socioeconómico. Aptitud Media: Zonas con limitaciones moderadas de tipo físico, socioecosistémico y/o socioeconómico. Aptitud Baja: Zonas con fuertes limitaciones de tipo físico, socioecosistémico y/o socioeconómico, las cuales podrían adecuarse con grandes inversiones y/o el desarrollo de nuevas tecnologías. No Apta: Zonas con restricciones físicas y socioecosistémicas que imposibilitan el desarrollo de la actividad. Exclusión Legal: Zonas en las cuales, por mandato legal, no se permite el desarrollo de la producción de papa (Solanum tuberosum L.), con fines comerciales.