16 datasets found
  1. N

    Los Angeles, CA median household income breakdown by race betwen 2013 and...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
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    Neilsberg Research (2025). Los Angeles, CA median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/insights/los-angeles-ca-median-household-income-by-race/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California, Los Angeles
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data from 2013 to 2023. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Los Angeles. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In Los Angeles, the median household income for the households where the householder is White increased by $22,692(29.60%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $76,653 in 2013 and $99,345 in 2023.
    • Black or African American: In Los Angeles, the median household income for the households where the householder is Black or African American increased by $7,493(16.61%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $45,119 in 2013 and $52,612 in 2023.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Los Angeles.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Los Angeles median household income by race. You can refer the same here

  2. N

    Median Household Income by Racial Categories in Los Angeles County, CA (, in...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
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    Neilsberg Research (2025). Median Household Income by Racial Categories in Los Angeles County, CA (, in 2023 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/e0af216c-f665-11ef-a994-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Los Angeles County, California
    Variables measured
    Median Household Income for Asian Population, Median Household Income for Black Population, Median Household Income for White Population, Median Household Income for Some other race Population, Median Household Income for Two or more races Population, Median Household Income for American Indian and Alaska Native Population, Median Household Income for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household income across different racial categories in Los Angeles County. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

    Key observations

    Based on our analysis of the distribution of Los Angeles County population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 35.43% of the total residents in Los Angeles County. Notably, the median household income for White households is $101,816. Interestingly, despite the White population being the most populous, it is worth noting that Native Hawaiian and Other Pacific Islander households actually reports the highest median household income, with a median income of $107,300. This reveals that, while Whites may be the most numerous in Los Angeles County, Native Hawaiian and Other Pacific Islander households experience greater economic prosperity in terms of median household income.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Los Angeles County.
    • Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Los Angeles County median household income by race. You can refer the same here

  3. N

    Dataset for Los Angeles, CA Census Bureau Income Distribution by Race

    • neilsberg.com
    Updated Jan 3, 2024
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    Neilsberg Research (2024). Dataset for Los Angeles, CA Census Bureau Income Distribution by Race [Dataset]. https://www.neilsberg.com/research/datasets/80dc9ec2-9fc2-11ee-b48f-3860777c1fe6/
    Explore at:
    Dataset updated
    Jan 3, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California, Los Angeles
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Los Angeles median household income by race. The dataset can be utilized to understand the racial distribution of Los Angeles income.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Los Angeles, CA median household income breakdown by race betwen 2012 and 2022
    • Median Household Income by Racial Categories in Los Angeles, CA (2022)

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Los Angeles median household income by race. You can refer the same here

  4. a

    SBLA Income & Employment Indicators

    • hub.arcgis.com
    Updated Sep 27, 2022
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    County of Los Angeles (2022). SBLA Income & Employment Indicators [Dataset]. https://hub.arcgis.com/datasets/bda5109ae480420287d6ec3f8770f3f4
    Explore at:
    Dataset updated
    Sep 27, 2022
    Dataset authored and provided by
    County of Los Angeles
    Description

    Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table name indicator name Universe timeframe source race notes source url

    below_fpl_perc below 100% federal poverty level percent (%) Population for whom poverty status is determined 2016-2020 American Community Survey - S1703 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1703

    below_200fpl_perc below 200% federal poverty level percent (%) Total population 2021 Population and Poverty Estimates of Los Angeles County Tract-City Splits by Age, Sex and Race-Ethnicity for July 1, 2021, Los Angeles, CA, April 2022 All races are Non-Hispanic LA County eGIS-Demography

    median_income Median income (household) Households 2016-2020 American Community Survey - S1903 All races are Non-Hispanic; Race is that of householder https://data.census.gov/cedsci/table?q=S1903&g=0500000US06037

    percapita_income Mean Per Capita Income Total population 2016-2020 American Community Survey - S1902 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1902

    college_degree_any College degree AA, BA, or Higher % Population 25 years and over 2021 American Community Survey - B15002B-I Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037

    graduate_professional_degree Graduate or professional degree % Population 25 years and over 2021 American Community Survey - B15002B-I Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037

    unemployment_rate Unemployment Rate Population 16 years and over 2016-2020 American Community Survey - S2301 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=S2301%3A%20EMPLOYMENT%20STATUS&g=0500000US06037&tid=ACSST5Y2020.S2301

    below_300fpl_food_insecure Percent of Households with Incomes <300% Federal Poverty Level That Are Food Insecure Percent of Households with Incomes <300% Federal Poverty Level 2018 Los Angeles County Health Survey

    https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    below_185fpl_snap Percent of Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Who Are Currently Receiving Supplemental Nutrition Assistance Program (SNAP), Also Known as Calfresh Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Los Angeles County Health Survey 20182018 https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    B24010 Sex by Occupation for the Civilian Employed Population 16 Years and Over Civilian employed population 16 years and over

  5. d

    Data from: Historical racial redlining and contemporary patterns of income...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Apr 2, 2025
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    Eric Wood; Sevan Esaian; Christian Benitez; Philip Ethington; Travis Longcore; Lars Pomara (2025). Historical racial redlining and contemporary patterns of income inequality negatively affect birds, their habitat, and people in Los Angeles, California [Dataset]. http://doi.org/10.5061/dryad.tb2rbp06p
    Explore at:
    Dataset updated
    Apr 2, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Eric Wood; Sevan Esaian; Christian Benitez; Philip Ethington; Travis Longcore; Lars Pomara
    Time period covered
    Jan 1, 2023
    Area covered
    California, Los Angeles
    Description

    The Home Owners’ Loan Corporation (HOLC) was a U.S. government-sponsored program initiated in the 1930s to evaluate mortgage lending risk. The program resulted in hand-drawn ‘security risk’ maps intended to grade sections of cities where investment should be focused (greenlined areas) or limited (redlined zones). The security maps have since been widely criticized as being inherently racist and have been associated with high levels of segregation and lower levels of green amenities in cities across the country. Our goal was to explore the potential legacy effects of the HOLC grading practice on birds, their habitat, and the people who may experience them throughout a metropolis where the security risk maps were widely applied, Greater Los Angeles, California (L.A.). We used ground-collected, remotely sensed, and census data and descriptive and predictive modeling approaches to address our goal. Patterns of bird habitat and avian communities strongly aligned with the luxury-effect phenom...

  6. Data from: Los Angeles Metropolitan Area Surveys [LAMAS] 7, 1973

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Jan 4, 2017
    + more versions
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    Survey Research Center, Institute for Social Science Research (2017). Los Angeles Metropolitan Area Surveys [LAMAS] 7, 1973 [Dataset]. http://doi.org/10.3886/ICPSR36604.v1
    Explore at:
    stata, sas, r, ascii, delimited, spssAvailable download formats
    Dataset updated
    Jan 4, 2017
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Survey Research Center, Institute for Social Science Research
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36604/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36604/terms

    Time period covered
    1973
    Area covered
    Los Angeles, California
    Description

    The Los Angeles Metropolitan Area Surveys [LAMAS] 7, 1973 collection reflects data gathered in 1973 as part of the Los Angeles Metropolitan Area Studies (LAMAS). The LAMAS, beginning in the spring of 1970, are a shared-time omnibus survey of Los Angeles County community members, usually repeated twice annually. The LAMAS were conducted ten times between 1970 and 1976 in an effort to develop a set of standard community profile measures appropriate for use in the planning and evaluation of public policy. The LAMAS instruments, indexes, and scales were used to track the development and course of social indicators (including social, psychological, health, and economic variables) and the impact of public policy on the community. Questions in this survey cover respondents' attitudes toward the following topics: community and public services, local government politics, political efficacy, residential mobility, and integration of their neighborhood. In addition, participating researchers were given the option of submitting questions to be asked in addition to the core items. These additional question topics include: travel time to work, number of vehicles, means of transportation, and alcohol use, as well as drinking and driving. Demographic variables in this collection include sex, age, race, ethnicity, education, occupation, income, religion, marital status, birth place, and housing type.

  7. Los Angeles Metropolitan Area Surveys [LAMAS] 6, 1973

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Oct 30, 2017
    + more versions
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    University of California, Los Angeles. Institute for Social Research (2017). Los Angeles Metropolitan Area Surveys [LAMAS] 6, 1973 [Dataset]. http://doi.org/10.3886/ICPSR36615.v1
    Explore at:
    stata, spss, ascii, r, sas, delimitedAvailable download formats
    Dataset updated
    Oct 30, 2017
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    University of California, Los Angeles. Institute for Social Research
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36615/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36615/terms

    Time period covered
    1973
    Area covered
    California, United States, Los Angeles
    Description

    The Los Angeles Metropolitan Area Studies [LAMAS] 6, 1973 collection reflects data gathered in 1973 as part of the Los Angeles Metropolitan Area Studies (LAMAS). The LAMAS, beginning in the spring of 1970, are a shared-time omnibus survey of Los Angeles County community members, usually repeated twice annually. The LAMAS were conducted ten times between 1970 and 1976 in an effort to develop a set of standard community profile measures appropriate for use in the planning and evaluation of public policy. The LAMAS instruments, indexes, and scales used to track the development and course of social indicators (including social, psychological, health, and economic variables) and the impact of public policy on the community. Questions in this year of the LAMAS cover respondents' attitudes toward the following topics: air pollution, health care services in the community, local government politics, police relations, recreation and leisure time. In addition, participating researchers were given the option of submitting questions to be asked in addition to the core items. These additional question topics include: sleep habits, the true self, impact of computers, job seeking behavior, and mental health and psychological factors. Demographic variables in this collection include sex, age, race, ethnicity, education, occupation, income, religion, marital status, birth place, and housing type.

  8. N

    Los Angeles, CA annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Los Angeles, CA annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/bab3c053-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California, Los Angeles
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Los Angeles. The dataset can be utilized to gain insights into gender-based income distribution within the Los Angeles population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Los Angeles, among individuals aged 15 years and older with income, there were 1.40 million men and 1.32 million women in the workforce. Among them, 759.51 thousand men were engaged in full-time, year-round employment, while 579.13 thousand women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 9.66% fell within the income range of under $24,999, while 11.29% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 29.23% of men in full-time roles earned incomes exceeding $100,000, while 25.02% of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Los Angeles median household income by race. You can refer the same here

  9. f

    Full Model Results.

    • plos.figshare.com
    docx
    Updated Jun 1, 2023
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    Kirsten Schwarz; Michail Fragkias; Christopher G. Boone; Weiqi Zhou; Melissa McHale; J. Morgan Grove; Jarlath O’Neil-Dunne; Joseph P. McFadden; Geoffrey L. Buckley; Dan Childers; Laura Ogden; Stephanie Pincetl; Diane Pataki; Ali Whitmer; Mary L. Cadenasso (2023). Full Model Results. [Dataset]. http://doi.org/10.1371/journal.pone.0122051.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kirsten Schwarz; Michail Fragkias; Christopher G. Boone; Weiqi Zhou; Melissa McHale; J. Morgan Grove; Jarlath O’Neil-Dunne; Joseph P. McFadden; Geoffrey L. Buckley; Dan Childers; Laura Ogden; Stephanie Pincetl; Diane Pataki; Ali Whitmer; Mary L. Cadenasso
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The full model results of the OLS and spatial regressions at the CBG level omitting the intercept. Median household income is reported in dollars. (DOCX)

  10. CBS News/New York Times Monthly Poll #1, September 1995

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated Jun 1, 2009
    + more versions
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    Inter-university Consortium for Political and Social Research [distributor] (2009). CBS News/New York Times Monthly Poll #1, September 1995 [Dataset]. http://doi.org/10.3886/ICPSR02079.v3
    Explore at:
    ascii, spss, stata, sasAvailable download formats
    Dataset updated
    Jun 1, 2009
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2079/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2079/terms

    Time period covered
    Sep 1995
    Area covered
    United States
    Description

    This poll is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents answered questions on United States and NATO airstrikes in Bosnia and on their opinions of President Bill Clinton. They also expressed their views regarding the American criminal justice system, including whether the criminal justice system is biased toward any single race and whether the media is similarly biased. The O.J. Simpson trial was another focus of the survey, with questions on the role of the lawyers and Judge Lance Ito in the trial as well as the possibility of conspiracy by the Los Angeles police. Background information on respondents includes voter registration status, political party, political orientation, education, age, sex, race, and family income.

  11. o

    The spatial and social correlates of neighborhood morphology

    • openicpsr.org
    Updated Jan 18, 2024
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    Noah Durst; Esther Sullivan; Warren Jochem (2024). The spatial and social correlates of neighborhood morphology [Dataset]. http://doi.org/10.3886/E197829V1
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    Dataset updated
    Jan 18, 2024
    Authors
    Noah Durst; Esther Sullivan; Warren Jochem
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Using building footprints in five of the ten largest U.S. metropolitan areas (Atlanta, Boston, Chicago, Houston, and Los Angeles) and the open-source R package, foot, we examine how neighborhood morphology differs across U.S. metropolitan areas and across the urban-exurban landscape. Principal components analysis, unsupervised classification (K-means), and Ordinary Least Squares regression analysis are used to develop a morphological typology of neighborhoods and to examine its association with the spatial, socioeconomic, and demographic characteristics of census tracts. Our findings illustrate substantial variation in the morphology of neighborhoods, both across the five metropolitan areas as well as between central cities, suburbs, and the urban fringe within each metropolitan area. We identify five different types of neighborhoods indicative of different stages of development and distributed unevenly across the urban landscape: these include low-density neighborhoods on the urban fringe; mixed use and high-density residential areas in central cities; and uniform residential neighborhoods in suburban cities. Results from regression analysis illustrate that the prevalence of each of these forms is closely associated with variation in socioeconomic and demographic characteristics such as population density, the prevalence of multifamily housing, and income, race/ethnicity, homeownership, and commuting by car. The accompanying datasets include the block- and tract-level data used to conduct the analysis. R and Python scripts for calculating morphometrics, conducting unsupervised classification, and conducting the descriptive statistics and regression analysis at the census block and census tract levels are also included.

  12. P

    County-Level US Multi-Modal Spatiotemporal Urban Growth & Travel Behavior...

    • paperswithcode.com
    Updated Jun 13, 2025
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    Eugene Kofi Okrah Denteh; Andrews Danyo; Joshua Kofi Asamoah; Blessing Agyei Kyem; Armstrong Aboah (2025). County-Level US Multi-Modal Spatiotemporal Urban Growth & Travel Behavior Dataset (2012–2023) Dataset [Dataset]. https://paperswithcode.com/dataset/county-level-us-multi-modal-spatiotemporal
    Explore at:
    Dataset updated
    Jun 13, 2025
    Authors
    Eugene Kofi Okrah Denteh; Andrews Danyo; Joshua Kofi Asamoah; Blessing Agyei Kyem; Armstrong Aboah
    Area covered
    United States
    Description

    Click to add a brief description of the dataset (Markdown and LaTeX enabled). Abstract This dataset comprises approximately 7,100 satellite images paired with corresponding demographic and travel behavior data spanning 2012-2023 (excluding 2020) across United States counties. The satellite imagery consists of 256×256 pixel Landsat 8 Collection 2 Level 2 surface reflectance composites covering 10 km² areas around county centroids, processed to create cloud-free annual median representations. Demographic data includes 25 key variables from the U.S. Census Bureau's American Community Survey (ACS) 1-year estimates, encompassing population statistics, age distributions, racial composition, and educational attainment levels. Travel behavior metrics capture transportation modes, commute patterns, vehicle availability, and temporal travel characteristics for counties with populations exceeding 65,000. This multimodal spatiotemporal dataset enables research at the intersection of remote sensing, urban planning, and transportation analysis, providing a unique resource for studying the co-evolution of built environments, demographic patterns, and mobility behaviors over an 11-year period. The dataset supports applications in predictive modeling, urban development forecasting, transportation planning, and socioeconomic analysis using machine learning and computer vision techniques. Provide: Satellite Imagery Source: Landsat 8 Collection 2 via Google Earth Engine Format: RGB PNG images (256×256 pixels) Processing: Annual median composites, cloud-filtered Naming Convention: {state_FIPS}{county_FIPS}{year}.png State FIPS: 1-56 (standard federal codes) County FIPS: varies by state Examples: 1_1_2012.png (Alabama, Autauga County, 2012) 6_37_2019.png (California, Los Angeles County, 2019) 36_61_2023.png (New York, New York County, 2023) Demographics Source: U.S. Census Bureau ACS 1-year estimates Features: 27 demographic and socioeconomic indicators including: Population demographics (age, gender) Race and ethnicity distribution Economic indicators (income, inequality) Educational attainment

  13. N

    Los Angeles County, CA annual income distribution by work experience and...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). Los Angeles County, CA annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/los-angeles-county-ca-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Los Angeles County, California
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Los Angeles County. The dataset can be utilized to gain insights into gender-based income distribution within the Los Angeles County population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Los Angeles County, among individuals aged 15 years and older with income, there were 3.48 million men and 3.32 million women in the workforce. Among them, 1.94 million men were engaged in full-time, year-round employment, while 1.46 million women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 8.61% fell within the income range of under $24,999, while 10.60% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 29.65% of men in full-time roles earned incomes exceeding $100,000, while 23.88% of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Los Angeles County median household income by race. You can refer the same here

  14. N

    Los Angeles, CA annual median income by work experience and sex dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
    Share
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    Cite
    Neilsberg Research (2025). Los Angeles, CA annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a5247e38-f4ce-11ef-8577-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California, Los Angeles
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Los Angeles. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Los Angeles, the median income for all workers aged 15 years and older, regardless of work hours, was $41,400 for males and $32,590 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 21% between the median incomes of males and females in Los Angeles. With women, regardless of work hours, earning 79 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Los Angeles.

    - Full-time workers, aged 15 years and older: In Los Angeles, among full-time, year-round workers aged 15 years and older, males earned a median income of $61,561, while females earned $59,802, resulting in a 3% gender pay gap among full-time workers. This illustrates that women earn 97 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the city of Los Angeles.

    Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Los Angeles.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Los Angeles median household income by race. You can refer the same here

  15. N

    Los Angeles County, CA annual median income by work experience and sex...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    Share
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    Neilsberg Research (2025). Los Angeles County, CA annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/los-angeles-county-ca-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Los Angeles County, California
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Los Angeles County. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Los Angeles County, the median income for all workers aged 15 years and older, regardless of work hours, was $43,726 for males and $32,922 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 25% between the median incomes of males and females in Los Angeles County. With women, regardless of work hours, earning 75 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecounty of Los Angeles County.

    - Full-time workers, aged 15 years and older: In Los Angeles County, among full-time, year-round workers aged 15 years and older, males earned a median income of $64,022, while females earned $58,885, resulting in a 8% gender pay gap among full-time workers. This illustrates that women earn 92 cents for each dollar earned by men in full-time positions. While this gap shows a trend where women are inching closer to wage parity with men, it also exhibits a noticeable income difference for women working full-time in the county of Los Angeles County.

    Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Los Angeles County.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Los Angeles County median household income by race. You can refer the same here

  16. Data from: Multi-City Study of Urban Inequality, 1992-1994: [Atlanta,...

    • icpsr.umich.edu
    ascii, sas, spss +1
    Updated Apr 23, 2008
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    Bobo, Lawrence; Johnson, James; Oliver, Melvin; Farley, Reynolds; Bluestone, Barry; Browne, Irene; Danziger, Sheldon; Green, Gary P.; Holzer, Harry; Krysan, Maria; Massagli, Michael; Charles, Camille Zubrinsky; Kirschenman, Joleen; Moss, Philip; Tilly, Chris (2008). Multi-City Study of Urban Inequality, 1992-1994: [Atlanta, Boston, Detroit, and Los Angeles] [Dataset]. http://doi.org/10.3886/ICPSR02535.v3
    Explore at:
    sas, ascii, stata, spssAvailable download formats
    Dataset updated
    Apr 23, 2008
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Bobo, Lawrence; Johnson, James; Oliver, Melvin; Farley, Reynolds; Bluestone, Barry; Browne, Irene; Danziger, Sheldon; Green, Gary P.; Holzer, Harry; Krysan, Maria; Massagli, Michael; Charles, Camille Zubrinsky; Kirschenman, Joleen; Moss, Philip; Tilly, Chris
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/2535/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/2535/terms

    Time period covered
    1992 - 1994
    Area covered
    Michigan, Boston, Atlanta, Detroit, Georgia, California, United States, Massachusetts, Los Angeles
    Description

    The Multi-City Study of Urban Inequality was designed to broaden the understanding of how changing labor market dynamics, racial attitudes and stereotypes, and racial residential segregation act singly and in concert to foster contemporary urban inequality. This data collection comprises data for two surveys: a survey of households and a survey of employers. Multistage area probability sampling of adult residents took place in four metropolitan areas: Atlanta (April 1992-September 1992), Boston (May 1993-November 1994), Detroit (April-September 1992), and Los Angeles (September 1993-August 1994). The combined four-city data file in Part 1 contains data on survey questions that were asked in households in at least two of the four survey cities. Questions on labor market dynamics included industry, hours worked per week, length of time on job, earnings before taxes, size of employer, benefits provided, instances of harassment and discrimination, and searching for work within particular areas of the metropolis in which the respondent resided. Questions covering racial attitudes and attitudes about inequality centered on the attitudes and beliefs that whites, Blacks, Latinos, and Asians hold about one another, including amount of discrimination, perceptions about wealth and intelligence, ability to be self-supporting, ability to speak English, involvement with drugs and gangs, the fairness of job training and educational assistance policies, and the fairness of hiring and promotion preferences. Residential segregation issues were studied through measures of neighborhood quality and satisfaction, and preferences regarding the racial/ethnic mix of neighborhoods. Other topics included residence and housing, neighborhood characteristics, family income structure, networks and social functioning, and interviewer observations. Demographic information on household respondents was also elicited, including length of residence, education, housing status, monthly rent or mortgage payment, marital status, gender, age, race, household composition, citizenship status, language spoken in the home, ability to read and speak English, political affiliation, and religion. The data in Part 2 represent a telephone survey of current business establishments in Atlanta, Boston, Detroit, and Los Angeles carried out between spring 1992 and spring 1995 to learn about hiring and vacancies, particularly for jobs requiring just a high school education. An employer size-weighted, stratified, probability sample (approximately two-thirds of the cases) was drawn from regional employment directories, and a probability sample (the other third of the cases) was drawn from the current or most recent employer reported by respondents to the household survey in Part 1. Employers were queried about characteristics of their firms, including composition of the firm's labor force, vacant positions, the person most recently hired and his or her salary, hours worked per week, educational qualifications, promotions, the firm's recruiting and hiring methods, and demographic information for the respondent, job applicants, the firm's customers, and the firm's labor force, including age, education, race, and gender.

  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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Neilsberg Research (2025). Los Angeles, CA median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/insights/los-angeles-ca-median-household-income-by-race/

Los Angeles, CA median household income breakdown by race betwen 2013 and 2023

Explore at:
json, csvAvailable download formats
Dataset updated
Mar 1, 2025
Dataset authored and provided by
Neilsberg Research
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
California, Los Angeles
Variables measured
Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends for Native Hawaiian and Other Pacific Islander Population
Measurement technique
The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data from 2013 to 2023. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
Dataset funded by
Neilsberg Research
Description
About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Los Angeles. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

  • White: In Los Angeles, the median household income for the households where the householder is White increased by $22,692(29.60%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $76,653 in 2013 and $99,345 in 2023.
  • Black or African American: In Los Angeles, the median household income for the households where the householder is Black or African American increased by $7,493(16.61%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $45,119 in 2013 and $52,612 in 2023.
  • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

  • White
  • Black or African American
  • American Indian and Alaska Native
  • Asian
  • Native Hawaiian and Other Pacific Islander
  • Some other race
  • Two or more races (multiracial)

Variables / Data Columns

  • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Los Angeles.
  • 2010: 2010 median household income
  • 2011: 2011 median household income
  • 2012: 2012 median household income
  • 2013: 2013 median household income
  • 2014: 2014 median household income
  • 2015: 2015 median household income
  • 2016: 2016 median household income
  • 2017: 2017 median household income
  • 2018: 2018 median household income
  • 2019: 2019 median household income
  • 2020: 2020 median household income
  • 2021: 2021 median household income
  • 2022: 2022 median household income
  • 2023: 2023 median household income
  • Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Los Angeles median household income by race. You can refer the same here

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