The land area of Oakland, CA was 56 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.

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Geographic and Area Datasets Involving Oakland, CA

  • API

    Personal Income Tax Statistics By Zip Code

    data.ftb.ca.gov | Last Updated 2024-04-24T15:30:48.000Z

    This dataset contains data from California resident tax returns filed with California adjusted gross income and self-assessed tax listed by zip code. This dataset contains data for taxable years 1992 to the most recent tax year available.

  • API

    B-7, Adjusted Gross Income by County

    data.ftb.ca.gov | Last Updated 2024-04-23T21:59:49.000Z

    This dataset contains adjusted gross income class tax statistics for California personal income tax return data by county.

  • API

    Next Generation Simulation (NGSIM) Vehicle Trajectories and Supporting Data

    datahub.transportation.gov | Last Updated 2024-05-01T01:04:05.000Z

    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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    Oakland ZIP Code Tabulation Areas 2016 U.S. Gazetteer File

    data.oaklandca.gov | Last Updated 2018-07-03T20:11:36.000Z

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    RC 2 Water Use-2

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

  • API

    Priority Neighborhoods (Version 2) - Geographic Equity Toolbox

    data.oaklandca.gov | Last Updated 2022-12-29T21:54:02.000Z

    For the GIS dataset, download the "GET_2021.zip" shapefile attachment on this page. The Priority Neighborhoods GIS feature class dataset assigns each census tract in Oakland a level of priority in quintiles from lowest to highest, determined by seven demographic factors: 1) People of Color [25% of score], 2) Low-Income Households (<50% Area Median Income) [25% of score], 3) People with Disability [10% of score], 4) Seniors 65 Years and Over [10% of score], 5) Single Parent Families [10% of score], 6) Severely Rent-Burdened Households [10% of score], and 7) Low Educational Attainment (less than a bachelor's degree) [10% of score]. The Priority Neighborhoods GIS dataset was developed as part of the DOT's Geographic Equity Toolbox. Version 2 (this version) of the dataset relies upon 2019 5-Year American Community Survey (ACS) data. This version is the latest version. The previous version, Version 1, relied upon 2017 5-Year ACS data. Find more information about the methodology in the interactive online Geographic Equity Toolbox: http://oakgis.maps.arcgis.com/apps/MapSeries/index.html?appid=fd47784582294d7b87cfb3ee1b047ea8

  • API

    County to CBSA Mapping for Large Metros

    data.bayareametro.gov | Last Updated 2022-08-26T07:12:04.000Z

    Data 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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    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.