This table contains data on the percentage of the total population living below 200% of the Federal Poverty Level (FPL), and the percentage of children living below 200% FPL for California, its regions, counties, cities, towns, public use microdata areas, and census tracts. Data for time periods 2011-2015 (overall poverty) and 2012-2016 (child poverty) and with race/ethnicity stratification is included in the table. The poverty rate table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Poverty is an important social determinant of health (see http://www.healthypeople.gov/2020/topicsobjectives2020/overview.aspx?topicid=39) that can impact people’s access to basic necessities (housing, food, education, jobs, and transportation), and is associated with higher incidence and prevalence of illness, and with reduced access to quality health care. More information on the data table and a data dictionary can be found in the About/Attachments section.
This dataset tracks the updates made on the dataset "Poverty Rate (<200% FPL) and Child (under 18) Poverty Rate by California Regions" as a repository for previous versions of the data and metadata.
This dataset tracks the updates made on the dataset "Poverty Rate (<200% FPL) and Child (under 18) Poverty Rate by California Regions" as a repository for previous versions of the data and metadata.
For the past several censuses, the Census Bureau has invited people to self-respond before following up in-person using census takers. The 2010 Census invited people to self-respond predominately by returning paper questionnaires in the mail. The 2020 Census allows people to self-respond in three ways: online, by phone, or by mail. The 2020 Census self-response rates are self-response rates for current census geographies. These rates are the daily and cumulative self-response rates for all housing units that received invitations to self-respond to the 2020 Census. The 2020 Census self-response rates are available for states, counties, census tracts, congressional districts, towns and townships, consolidated cities, incorporated places, tribal areas, and tribal census tracts. The Self-Response Rate of Los Angeles County is 65.1% for 2020 Census, which is slightly lower than 69.6% of California State rate. More information about these data are available in the Self-Response Rates Map Data and Technical Documentation document associated with the 2020 Self-Response Rates Map or review our FAQs. Animated Self-Response Rate 2010 vs 2020 is available at ESRI site SRR Animated Maps and can explore Census 2020 SRR data at ESRI Demographic site Census 2020 SSR Data. Following Demographic Characteristics are included in this data and web maps to visualize their relationships with Census Self-Response Rate (SRR)..1. Population Density2. Poverty Rate3. Median Household income4. Education Attainment5. English Speaking Ability6. Household without Internet Access7. Non-Hispanic White Population8. Non-Hispanic African-American Population9. Non-Hispanic Asian Population10. Hispanic Population
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Population Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in California City, California by age, education, race, gender, work experience and more.
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This layer shows census tracts that meet the following definitions: Census tracts with median household incomes at or below 80 percent of the statewide median income or with median household incomes at or below the threshold designated as low income by the Department of Housing and Community Development’s list of state income limits adopted under Healthy and Safety Code section 50093 and/or Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 or Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative population burden scores or Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 or Lands under the control of federally recognized Tribes.
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Under 5 years Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in California City, California by age, education, race, gender, work experience and more.
This dataset tracks the updates made on the dataset "Covered California Subsidized Qualified Health Plans (QHPs) Enrollees by Federal Poverty Level (FPL)" as a repository for previous versions of the data and metadata.
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This dataset includes the number of eligible individuals selected and enrolled in a subsidized Covered California qualified health plans (QHPs) by Federal Poverty Level (FPL) range by reporting period. Covered California reported data is from the California Healthcare Eligibility, Enrollment and Retention System (CalHEERS) and includes eligible individuals who selected and enrolled in a QHP, and paid their first premium. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.
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Under 5 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Long Beach, California by age, education, race, gender, work experience and more.
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SINGLE PEOPLE Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in National City, California by age, education, race, gender, work experience and more.
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25 to 34 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in San Diego, California by age, education, race, gender, work experience and more.
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65 years and over Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Rough and Ready, California by age, education, race, gender, work experience and more.
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18 to 64 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Mountain View, California by age, education, race, gender, work experience and more.
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SINGLE PEOPLE Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Long Beach, California by age, education, race, gender, work experience and more.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
18 to 64 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Daly City, California by age, education, race, gender, work experience and more.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Population 16 years and over Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Los Angeles, California by age, education, race, gender, work experience and more.
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5 to 17 years Poverty Rate Statistics for 2022. This is part of a larger dataset covering poverty in Burbank, California by age, education, race, gender, work experience and more.
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License information was derived automatically
65 to 74 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Tracy, California by age, education, race, gender, work experience and more.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Under 5 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in East Los Angeles, California by age, education, race, gender, work experience and more.
This table contains data on the percentage of the total population living below 200% of the Federal Poverty Level (FPL), and the percentage of children living below 200% FPL for California, its regions, counties, cities, towns, public use microdata areas, and census tracts. Data for time periods 2011-2015 (overall poverty) and 2012-2016 (child poverty) and with race/ethnicity stratification is included in the table. The poverty rate table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Poverty is an important social determinant of health (see http://www.healthypeople.gov/2020/topicsobjectives2020/overview.aspx?topicid=39) that can impact people’s access to basic necessities (housing, food, education, jobs, and transportation), and is associated with higher incidence and prevalence of illness, and with reduced access to quality health care. More information on the data table and a data dictionary can be found in the About/Attachments section.