Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: High School graduates, no college: 25 years and over: White: Men (LEU0252930300A) from 2000 to 2024 about no college, second quartile, secondary schooling, secondary, full-time, males, 25 years +, salaries, workers, earnings, white, education, wages, median, employment, and USA.

In 2023, the mean income of Black Bachelor's degree holders was ****** U.S. dollars, compared to ****** U.S. dollars for White Americans with a Bachelor's degree.

In 2023, the mean income of women with a doctorate degree in the United States stood at 139,100 U.S. dollars. For men with the same degree, mean earnings stood at 175,500 U.S. dollars. On average in 2023, American men earned 91,590 U.S. dollars, while American women earned 65,987 U.S. dollars.

U.S. citizens with a professional degree had the highest median household income in 2023, at 172,100 U.S. dollars. In comparison, those with less than a 9th grade education made significantly less money, at 35,690 U.S. dollars. Household income The median household income in the United States has fluctuated since 1990, but rose to around 70,000 U.S. dollars in 2021. Maryland had the highest median household income in the United States in 2021. Maryland’s high levels of wealth is due to several reasons, and includes the state's proximity to the nation's capital. Household income and ethnicity The median income of white non-Hispanic households in the United States had been on the rise since 1990, but declining since 2019. While income has also been on the rise, the median income of Hispanic households was much lower than those of white, non-Hispanic private households. However, the median income of Black households is even lower than Hispanic households. Income inequality is a problem without an easy solution in the United States, especially since ethnicity is a contributing factor. Systemic racism contributes to the non-White population suffering from income inequality, which causes the opportunity for growth to stagnate.

Average earnings, by age group and highest level of education, from the 2016 Census of Population.

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 is available in the Self-Response Rates Map Data and Technical Documentation document associated with the 2020 Self-Response Rates Map or review 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 Density: 2020 Population per square mile,2. Poverty Rate: Percentage of population under 100% FPL,3. Median Household income: Based on countywide median HH income of $71,538.4. Highschool Education Attainment: Percentage of 18 years and older population without high school graduation.5. English Speaking Ability: Percentage of 18 years and older population with less or none English speaking ability. 6. Household without Internet Access: Percentage of HH without internet access.7. Non-Hispanic White Population: Percentage of Non-Hispanic White population.8. Non-Hispanic African-American Population: Percentage of Non-Hispanic African-American population.9. Non-Hispanic Asian Population: Percentage of Non-Hispanic Asian population.10. Hispanic Population: Percentage of Hispanic population.

The Los Angeles County Climate Vulnerability Assessment identified and incorporated 29 social vulnerability indicators. These indicators are listed below alongside their description and data source. Full report: https://ceo.lacounty.gov/cva-report/Note: All indicators are at the census tract level. Census tracts with no population (data) are omitted from this layer. Indicator Description Source Countywide Average

Asian Percent identifying as non-Hispanic Asian US Census Bureau, American Community Survey 2018 5-Year Estimates 14.4%

Asthma Age-adjusted rate of emergency department visits for asthma California Environmental Health Tracking Program (CEHTP) and Office of Statewide Health Planning and Development (OSHPD) 52.2

Black Percent identifying as non-Hispanic black or African American US Census Bureau, American Community Survey 2018 5-Year Estimates 7.9%

Cardiovascular Age-adjusted rate of emergency department visits for heart attacks per 10,000 California Environmental Health Tracking Program (CEHTP) and Office of Statewide Health Planning and Development (OSHPD) 8.4

Children Percent of people 18 and under US Census Bureau, American Community Survey 2018 5-Year Estimates 24.9%

Disability Percent of persons with either mental or physical disability US Census Bureau, American Community Survey 2018 5-Year Estimates 9.9%

Female Percent female US Census Bureau, American Community Survey 2018 5-Year Estimates 50.7%

Female householder Percent of households that have a female householder with no spouse present US Census Bureau, American Community Survey 2018 5-Year Estimates 16.2%

Foreign born Percent of the total population who was not born in the United States or Puerto Rico US Census Bureau, American Community Survey 2018 5-Year Estimates 35.2%

Hispanic Latinx Percent identifying as Hispanic or Latino US Census Bureau, American Community Survey 2018 5-Year Estimates 48.5%

Households without vehicle access Percent of households without access to a personal vehicle US Census Bureau, American Community Survey 2018 5-Year Estimates 8.8%

Library access Each tract's average block distance to nearest library LA County Internal Services Department 1.14 miles

Limited English Percent limited English speaking households US Census Bureau, American Community Survey 2018 5-Year Estimates 13.6%

Living in group quarters Percent of persons living in (either institutionalized or uninstitiutionalized) group quarters US Census Bureau, American Community Survey 2018 5-Year Estimates 1.8%

Median income Median household income of census tract US Census Bureau, American Community Survey 2018 5-Year Estimates $69,623

Mobile homes Percent of occupied housing units that are mobile homes US Census Bureau, American Community Survey 2018 5-Year Estimates 1.8%

No health insurance Percent of persons without health insurance US Census Bureau, American Community Survey 2018 5-Year Estimates 0.2%

No high school diploma Percent of persons 25 and older without a high school diploma US Census Bureau, American Community Survey 2018 5-Year Estimates 10.8%

No internet subscription Percent of the population without an internet subscription US Census Bureau, American Community Survey 2018 5-Year Estimates 22.6%

Older adults Percent of people 65 and older US Census Bureau, American Community Survey 2018 5-Year Estimates 18.4%

Older adults living alone Percent of households in which the householder is 65 and over who and living alone US Census Bureau, American Community Survey 2018 5-Year Estimates 12.9%

Outdoor workers Percentage of outdoor workers - agriculture, fishing, mining, extractive, construction occupations US Census Bureau, American Community Survey 2018 5-Year Estimates 8.0%

Poverty Percent of the population living in a family earning below 100% of the federal poverty threshold US Census Bureau, American Community Survey 2018 5-Year Estimates 5.4%

Rent burden Percent of renters paying more than 30 percent of their monthly income on rent and utilities US Census Bureau, American Community Survey 2018 5-Year Estimates 16.1%

Renters Percentage of renters per census tract US Census Bureau, American Community Survey 2018 5-Year Estimates 54.3%

Transit access Percent of population residing within a ½ mile of a major transit stop Healthy Places Index, SCAG 52.8%

Tribal and Indigenous Percent identifying as non-Hispanic American Indian and Alaska native US Census Bureau, American Community Survey 2018 5-Year Estimates 54.9%

Unemployed Percent of the population over the age of 16 that is unemployed and eligible for the labor force US Census Bureau, American Community Survey 2018 5-Year Estimates 6.9%

Voter turnout rate Percentage of registered voters voting in the 2016 general election CA Statewide General Elections Database 2016 63.8%

Employment income (in 2019 and 2020) by highest certificate, diploma or degree, for census divisions and municipalities.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: High School graduates, no college: 25 years and over: Black or African American (LEU0254939500A) from 2000 to 2024 about no college, second quartile, secondary schooling, secondary, full-time, 25 years +, African-American, salaries, workers, earnings, education, wages, median, employment, and USA.

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 is available in the Self-Response Rates Map Data and Technical Documentation document associated with the 2020 Self-Response Rates Map or review 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 Density: 2020 Population per square mile,2. Poverty Rate: Percentage of population under 100% FPL,3. Median Household income: Based on countywide median HH income of $71,538.4. Highschool Education Attainment: Percentage of 18 years and older population without high school graduation.5. English Speaking Ability: Percentage of 18 years and older population with less or none English speaking ability. 6. Household without Internet Access: Percentage of HH without internet access.7. Non-Hispanic White Population: Percentage of Non-Hispanic White population.8. Non-Hispanic African-American Population: Percentage of Non-Hispanic African-American population.9. Non-Hispanic Asian Population: Percentage of Non-Hispanic Asian population.10. Hispanic Population: Percentage of Hispanic population.

In 2022, about 37.7 percent of the U.S. population who were aged 25 and above had graduated from college or another higher education institution, a slight decline from 37.9 the previous year. However, this is a significant increase from 1960, when only 7.7 percent of the U.S. population had graduated from college. Demographics Educational attainment varies by gender, location, race, and age throughout the United States. Asian-American and Pacific Islanders had the highest level of education, on average, while Massachusetts and the District of Colombia are areas home to the highest rates of residents with a bachelor’s degree or higher. However, education levels are correlated with wealth. While public education is free up until the 12th grade, the cost of university is out of reach for many Americans, making social mobility increasingly difficult. Earnings White Americans with a professional degree earned the most money on average, compared to other educational levels and races. However, regardless of educational attainment, males typically earned far more on average compared to females. Despite the decreasing wage gap over the years in the country, it remains an issue to this day. Not only is there a large wage gap between males and females, but there is also a large income gap linked to race as well.

Estimated gross annual earnings quartiles for postsecondary graduates working full time at the time of the interview are presented by the province of study, the level of study and gender. Estimates are available at five-year intervals.

We used individual-level death data to estimate county-level life expectancy at 25 (e25) for Whites, Black, AIAN and Asian in the contiguous US for 2000-2005. Race-sex-stratified models were used to examine the associations among e25, rurality and specific race proportion, adjusted for socioeconomic variables. Individual death data from the National Center for Health Statistics were aggregated as death counts into five-year age groups by county and race-sex groups for the contiguous US for years 2000-2005 (National Center for Health Statistics 2000-2005). We used bridged-race population estimates to calculate five-year mortality rates. The bridged population data mapped 31 race categories, as specified in the 1997 Office of Management and Budget standards for the collection of data on race and ethnicity, to the four race categories specified under the 1977 standards (the same as race categories in mortality registration) (Ingram et al. 2003). The urban-rural gradient was represented by the 2003 Rural Urban Continuum Codes (RUCC), which distinguished metropolitan counties by population size, and nonmetropolitan counties by degree of urbanization and adjacency to a metro area (United States Department of Agriculture 2016). We obtained county-level sociodemographic data for 2000-2005 from the US Census Bureau. These included median household income, percent of population attaining greater than high school education (high school%), and percent of county occupied rental units (rent%). We obtained county violent crime from Uniform Crime Reports and used it to calculate mean number of violent crimes per capita (Federal Bureau of Investigation 2010). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Request to author. Format: Data are stored as csv files. This dataset is associated with the following publication: Jian, Y., L. Neas, L. Messer, C. Gray, J. Jagai, K. Rappazzo, and D. Lobdell. Divergent trends in life expectancy across the rural-urban gradient among races in the contiguous United States. International Journal of Public Health. Springer Basel AG, Basel, SWITZERLAND, 64(9): 1367-1374, (2019).

Block Groups:Block groups are statistical subdivisions of census tracts and are the smallest geographic units for which the Census Bureau tabulates sample data. They are designed to cover contiguous areas and are uniquely numbered within each census tract. Block groups do not cross state, county, or census tract boundaries but may cross other geographic entity boundaries.This feature class is used for various purposes, including visualization and analysis of demographic data, urban planning, and resource allocation. It is available for public use and can be accessed through platforms like ArcGIS.Population Range: Each block group generally contains between 600 to 3,000 people.Data Fields:BG20 (BLKGRPCE20): 7-digit census tract and block group number.CT20 (TRACTCE20): 6-digit census tract number.Label (NAMELSAD20): Block group number label.ACS Data:The 2022 American Community Survey (ACS) Block Group Data tables offer detailed estimates on various social, economic, housing, and demographic characteristics at the block group level, which are small statistical divisions of census tracts.The table provides the most comprehensive estimates on all topics for City of Salinas, including block groups. They include detailed information on population, housing, economic, and social characteristics.Selected ACS Fields:Median Age (b01002e1)Population (b01003e1)Households (b11001e1)Households with 200% Federal Poverty Level (c17002e8)Median Household Income (b19301e1)Per Capita Income (b19301e1)Housing Units (b25001e1)Average Household Size (b25010e1)Bachelor's Degree or Higher (b99152e2)High School Degree or Higher (b15003e17)Limited English Households (c16002e1)

The American Community Survey (ACS) helps local officials, community leaders, and businesses understand the changes taking place in their communities. It is the premier source for detailed population and housing information about our nation.This latest data was release in December of 2024. POP_UNI Total Population

POP_MIN Population in all race / ethnic categories other than 'white, not hispanic'

POP_HISLAT Population that is hispanic or latino

POP_65UP Population 65 and older

DISHH_UNI Households (aka Occupied Housing Units)

DISHH Households with one or more persons with one or more disabilities

ZCARHH_UNI Households (aka Occupied Housing Units)

ZCARHH Households with access to zero cars

UNEMP_UNI Population age 16+ who are in the labor force

UNEMP Population in the labor force who are unemployed

BBHH_UNI Households (aka Occupied Housing Units)

LINTHH Households with internet via dial-up only

ZINTHH Households with no internet

ZCOMHH Households with no computer

POV_UNI Population for whom poverty status is determined

POV_100 Population at or below 100% Federal Poverty Level

POV_200 Population at or below 200% Federal Poverty Level

HHInc_UNI Households (aka Occupied Housing Units)

HHIncL25k Household Income under $25,000

HHInc25_50k Household Income between $25,000 and $50,000

HHInc50_75k Household Income between $50,000 and $75,000

HHInc75_100K Household Income between $75,000 and $100,000

HHInc100_150K Household Income between $100,000 and $150,000

HHInc150_200k Household Income between $150,000 and $200,000

HHInc200plus Household Income above $200,000

TRANS_UNI Workers 16 years and older

TRANS_CAR Workers who use a car as their means of transportation

TRANS_POOL Workers who carpool as their means of transportation

TRANS_PUB Workers who use public transportation

TRANS_BUS Workers who take a bus as their means of transportation

TRANS_BIKE Workers who bicycle as their means of transportation

TRANS_WALK Workers who walk as their means of transportation

TRANS_WFH Workers who work from home

ED_UNI Population 25 years and over (Ed. Universe)

ED_LESS_TWEL Less than a twelfth grade education

ED_HS_GRAD High School graduate

ED_GED_EQ GED or alternative credential

ED_COL_SOME Some college

ED_ASSOC Associate's degree

ED_BACH Bachelor's degree

ED_MAST_P Master's, Professional, or Doctorate degree

PER_CAP Per capita income

MED_INC Median income

HU_UNI Total housing units

HU_OCC Occupied housing untis

HU_VAC Vacant housing units

VET_UNI Veteran Universe

VET_YES Veterans

VET_NO Non-Veterans

HU_SF Single family housing unit

HU_MF Multifamily housing unit

HU_OTH Other housing unit type

TEN_UNI Occupied housing units

TEN_RENT Renter occupied housing unit

TEN_OWN Owner occupied housing unit

PCT_POV_100 Percent of population at or below 100% Federal Poverty Level

PCT_POV_200 Percent of population at or below 200% Federal Poverty Level

PCT_MIN Percent of population in all race / ethnic categories other than 'white, not hispanic'

PCT_HISLAT Percent of population that is hispanic or latino

PCT_65UP Percent of Population over 65

PCT_DISHH Percent of Households with one or more persons with one or more disabilities

PCT_ZCARHH Percent of Households with access to zero cars

PCT_UNEMP Percent fo Population in the labor force who are unemployed

PCT_LINTHH Percent of Households with internet via dial-up only

PCT_ZINTHH Percent of Households with no internet

PCT_ZCOMHH Percent of Households with no computer

PCT_L25K Percent of Households with Income under $25,000

PCT_25_50k Percent of Households with Income between $25,000 and $50,000

PCT_50_75k Percent of Households with Income between $50,000 and $75,000

PCT_75_100k Percent of Households with Income between $75,000 and $100,000

PCT_100_150k Percent of Households with Income between $100,000 and $150,000

PCT_150_200K Percent of Households with Income between $150,000 and $200,000

PCT_200kPlus Percent of Households with Income above $200,000

PCT_CAR_ALONE Percent of Workers who use a car as their means of transportation

PCT_Walk_Bike Percent of Workers who walk or Bike as their means of transportation

PCT_WFH Percent of Workers who work from home

PCT_BACH Percent of Population with Bachelors Degree

PCT_MAST_P Percent of Population with Master's, Professional, or Doctorate Degree

PCT_OCC Percent of Housing Units that are occupied

PCT_SF_HU Percent of Single Family Housing Units

PCT_MF_HU Percent of Multi Family Housing Units

PCT_RENT Percent of Tenants that are renters

PCT_OWN Percent of Tenanats that own

PCT_VET Percentage of population that are veterans

In an impressive increase from years past, 39 percent of women in the United States had completed four years or more of college in 2022. This figure is up from 3.8 percent of women in 1940. A significant increase can also be seen in males, with 36.2 percent of the U.S. male population having completed four years or more of college in 2022, up from 5.5 percent in 1940.

4- and 2-year colleges

In the United States, college students are able to choose between attending a 2-year postsecondary program and a 4-year postsecondary program. Generally, attending a 2-year program results in an Associate’s Degree, and 4-year programs result in a Bachelor’s Degree.

Many 2-year programs are designed so that attendees can transfer to a college or university offering a 4-year program upon completing their Associate’s. Completion of a 4-year program is the generally accepted standard for entry-level positions when looking for a job.

Earnings after college

Factors such as gender, degree achieved, and the level of postsecondary education can have an impact on employment and earnings later in life. Some Bachelor’s degrees continue to attract more male students than female, particularly in STEM fields, while liberal arts degrees such as education, languages and literatures, and communication tend to see higher female attendance.

All of these factors have an impact on earnings after college, and despite nearly the same rate of attendance within the American population between males and females, men with a Bachelor’s Degree continue to have higher weekly earnings on average than their female counterparts.

Content

Hate Crimes

This folder contains data behind the story Higher Rates Of Hate Crimes Are Tied To Income Inequality.

Sources: Kaiser Family Foundation Kaiser Family Foundation Kaiser Family Foundation Census Bureau Kaiser Family Foundation Kaiser Family Foundation Census Bureau Kaiser Family Foundation United States Elections Project Southern Poverty Law Center FBI

Correction

Please see the following commit: https://github.com/fivethirtyeight/data/commit/fbc884a5c8d45a0636e1d6b000021632a0861986

Context

This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using GitHub's API and Kaggle's API.

This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

Characteristics and median employment income of postsecondary graduates five years after graduation, by educational qualification (Classification of programs and credentials - professional degree variant), field of study (Classification of Instructional Programs (CIP) Canada 2016 - STEM (science, technology, engineering and mathematics and computer sciences) and BHASE (business, humanities, health, arts, social science and education) groupings), gender, age group and status of student in Canada (cross-sectional analysis).

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: High School graduates, no college: 25 years and over: Men (LEU0252921300Q) from Q1 2000 to Q1 2025 about no college, second quartile, secondary schooling, secondary, full-time, males, 25 years +, salaries, workers, earnings, education, wages, median, employment, and USA.

Census Tracts:Census tracts are designed to be relatively homogeneous units with respect to population characteristics, economic status, and living conditions. They are used for the presentation of census data and comparison across different census years. The boundaries of census tracts generally follow visible and identifiable features, and they do not cross state or county lines.This feature class is essential for detailed demographic analysis, urban planning, and resource allocation. It is available for public use and can be accessed through platforms like ArcGIS.Population Range: Each census tract generally contains between 1,200 to 8,000 people, with an optimum size of 4,000 people.Data Fields:Tract Code (TRACTCE20): 6-digit code identifying the census tract.State Code (STATEFP20): 2-digit code identifying the state.County Code (COUNTYFP20): 3-digit code identifying the county.ACS Data:The 2022 American Community Survey (ACS) Tract Data provides detailed demographic, social, economic, and housing statistics for small geographic areas, such as census tracts.Detailed Tables: Provide the most granular estimates on all selected topics for City of Salinas.Data Types: The data includes estimates on various topics such as population demographics, economic status, housing characteristics, and social factors.Selected ACS Fields:Median Age (b01002e1)Population (b01003e1)Households (b11001e1)Housing Units (b25001e1)Average Household Size (b25010e1)Households at 200% Federal Poverty Level (c17002e8)Median Household Income (b19013e1)Per Capita Income (b19301e1)Bachelor's Degree or Higher (b99152e2)High School Degree or Higher (b15003e17)Limited English Households (c16002e1)Households (dp04_001e)Vacant Units (dp04_0003e)Renter-Occupied Units (dp04_0047e)