The population rate of change of Los Angeles Metro Area (CA) was 0.01% in 2018.

Population

Population Change

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

Demographics and Population Datasets Involving Los Angeles Metro Area (CA)

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    County of Los Angeles Estimated Population by Census Tract, City Name, Ethnicity, Gender & Age Group: CY 2016

    data.lacounty.gov | Last Updated 2018-08-09T22:51:56.000Z

    Population with Census Tracts FIPS and City Names CY 2016. Data Source: Population and Poverty Estimates, prepared by Hedderson Demographic Services and Los Angeles County Internal Services Department Social Services Division, 2017.

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    Los Angeles County City and Community Health Profiles 2018

    data.lacounty.gov | Last Updated 2019-09-18T16:59:53.000Z

    The City and Community Health Profiles include local level data for 86 Los Angeles County cities and communities for over 60 health indicators, including demographics, social and economic characteristics, health conditions and health behaviors for each city and community. “Health indicators” are characteristics that are known to impact health and well-being. The 86 cities and communities include 62 incorporated cities, the 15 Los Angeles City Council Districts, and 9 unincorporated Census designated communities.

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    A Portrait of Los Angeles County using the Human Development Index

    data.lacounty.gov | Last Updated 2019-01-30T20:47:48.000Z

    A Portrait of Los Angeles County, a report by Measure of America, is an in-depth look at how residents of America’s most populous county are faring in three fundamental areas of life: health, access to knowledge, and living standards. The Human Development Index – a composite measure of health, education and income – is the featured measure and is disaggregated by gender, race and ethnicity, gender by race and ethnicity, major Asian and Latino subgroups, and nativity at the county level. The index is also presented for 106 cities and unincorporated areas within the county, 35 City of Los Angeles Community Plan Areas and 15 City Council Districts. This dataset and the accompanying report is intended for policymakers, planners, service providers, advocates, journalists, students and anyone with an interest in exploring well-being outcomes among the many communities that make up Los Angeles County.

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    A Portrait of Los Angeles County using the Human Development Index: GIS Data

    data.lacounty.gov | Last Updated 2019-01-30T20:46:24.000Z

    A Portrait of Los Angeles County, a report by Measure of America, is an in-depth look at how residents of America’s most populous county are faring in three fundamental areas of life: health, access to knowledge, and living standards. The Human Development Index – a composite measure of health, education and income – is the featured measure and is disaggregated by gender, race and ethnicity, gender by race and ethnicity, major Asian and Latino subgroups, and nativity at the county level. The index is also presented for 106 cities and unincorporated areas within the county, 35 City of Los Angeles Community Plan Areas and 15 City Council Districts. This dataset and the accompanying report is intended for policymakers, planners, service providers, advocates, journalists, students and anyone with an interest in exploring well-being outcomes among the many communities that make up Los Angeles County.

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    CHSA - ECON -- Food Insecurity --- 2-Year Dissected

    healthstat.dph.sbcounty.gov | Last Updated 2019-03-13T19:07:43.000Z

    Percent of People who Cannot Afford to Feed Themselves Sufficiently. U.S. Census Bureau, Current Population Survey, December Supplement (AKA USDA Food Security Supplement). Dissected by Year, Geographic Area, Age Category, and Race/Ethnicity.

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    County of Los Angeles Estimated Population by Census Tract, City Name, Ethnicity, Gender & Age Group: CY 2015

    data.lacounty.gov | Last Updated 2018-08-09T22:48:55.000Z

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    County of Los Angeles Estimated 138 FPL and 200 FPL Population by Census Tract, City Name, Ethnicity, Gender & Age Group: CY 2013

    data.lacounty.gov | Last Updated 2018-08-09T22:35:31.000Z

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    County of Los Angeles Estimated 138 FPL and 200 FPL Population by Census Tract, City Name, Ethnicity, Gender & Age Group: CY 2015

    data.lacounty.gov | Last Updated 2018-08-09T22:35:11.000Z

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    Social Vulnerability Index for Virginia by Census Tract, 2018

    data.virginia.gov | Last Updated 2022-11-09T20:24:29.000Z

    "ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking." For more see https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2018.html

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    COVID-19 Cases by Population Characteristics Over Time

    data.sfgov.org | Last Updated 2022-11-30T15:03:07.000Z

    Note: On September 12, 2021, a new case definition of COVID-19 was introduced that includes criteria for enumerating new infections after previous probable or confirmed infections (also known as reinfections). A reinfection is defined as a confirmed positive PCR lab test more than 90 days after a positive PCR or antigen test. The first reinfection case was identified on December 7, 2021. Some fluctuation in historic data may result when this change is implemented on July 15, 2022. Note: As of March 2022, the race/ethnicity label changed from Native American to American Indian or Alaska Native to align with the Census. Note: On January 22, 2022, system updates to improve the timeliness and accuracy of San Francisco COVID-19 cases and deaths data were implemented. You might see some fluctuations in historic data as a result of this change. Due to the changes, starting on January 22, 2022, the number of new cases reported daily will be higher than under the old system as cases that would have taken longer to process will be reported earlier. <strong>A. SUMMARY</strong> This dataset shows San Francisco COVID-19 cases by population characteristics and by specimen collection date. Cases are included on the date the positive test was collected. Population characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how cases have been distributed among different subgroups. This information can reveal trends and disparities among groups. Data is lagged by five days, meaning the most recent specimen collection date included is 5 days prior to today. Tests take time to process and report, so more recent data is less reliable. <strong>B. HOW THE DATASET IS CREATED</strong> Data on the population characteristics of COVID-19 cases and deaths are from: * Case interviews * Laboratories * Medical providers These multiple streams of data are merged, deduplicated, and undergo data verification processes. This data may not be immediately available for recently reported cases because of the time needed to process tests and validate cases. Daily case totals on previous days may increase or decrease. <u><a href="https://data.sfgov.org/s/nudz-9tg2/">Learn more</a></u>. Data are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19. Data notes on each population characteristic type is listed below. <u> Race/ethnicity</u> * We include all race/ethnicity categories that are collected for COVID-19 cases. * The population estimates for the "Other" or “Multi-racial” groups should be considered with caution. The Census definition is likely not exactly aligned with how the City collects this data. For that reason, we do not recommend calculating population rates for these groups. <u> Sexual orientation</u> * The City began asking adults 18 years old or older for their sexual orientation identification during case interviews as of April 28, 2020. Sexual orientation data prior to this date is unavailable. * The City doesn’t collect or report information about sexual orientation for persons under 12 years of age. * Case investigation interviews transitioned to the California Department of Public Health, Virtual Assistant information gathering beginning December 2021. The Virtual Assistant is only sent to adults who are 18+ years old.<u><a href="https://www.sfdph.org/dph/files/PoliciesProcedures/COM9_SexualOrientationGuidelines.pdf"> Learn more about our data collection guidelines pertaining to sexual orientation</a></u>. <u> Gender</u> * The City collects information on gender identity using <a href="https://www.sfdph.org/dph/files/PoliciesProcedures/COM5_SexGenderGuidelines.pdf">these guidelines</a>. <u> Comorbidities</u> * Underlying conditions are reported when a person has one or more underlying health conditions at the time of diagnosis or death. <u> Transmission type</u> * Information on transmission of COVID-19 is based on ca