California State Income Limits reflect updated median income and household income levels for acutely low-, extremely low-, very low-, low- and moderate-income households for California’s 58 counties (required by Health and Safety Code Section 50093). These income limits apply to State and local affordable housing programs statutorily linked to HUD income limits and differ from income limits applicable to other specific federal, State, or local programs.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Fresno, CA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Fresno, CA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Fresno households based on income levels.

Key observations

• For Family Households: In Fresno, the majority of family households, representing 13.51%, earn $75,000 to $99,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 2.47%, have incomes falling $150,000 to $199,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Fresno, the majority of non-family households, accounting for 13.13%, have income Less than $10,000, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 2.82%, earn $150,000 to $199,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

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

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 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 $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Fresno, CA (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Fresno, CA
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Fresno, CA
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Fresno, CA

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 Fresno median household income. You can refer the same here

This statistic shows the median household income in the United States from 1990 to 2023 in 2023 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023, an increase from the previous year. Household incomeThe median household income depicts the income of households, including the income of the householder and all other individuals aged 15 years or over living in the household. Income includes wages and salaries, unemployment insurance, disability payments, child support payments received, regular rental receipts, as well as any personal business, investment, or other kinds of income received routinely. The median household income in the United States varies from state to state. In 2020, the median household income was 86,725 U.S. dollars in Massachusetts, while the median household income in Mississippi was approximately 44,966 U.S. dollars at that time. Household income is also used to determine the poverty line in the United States. In 2021, about 11.6 percent of the U.S. population was living in poverty. The child poverty rate, which represents people under the age of 18 living in poverty, has been growing steadily over the first decade since the turn of the century, from 16.2 percent of the children living below the poverty line in year 2000 to 22 percent in 2010. In 2021, it had lowered to 15.3 percent. The state with the widest gap between the rich and the poor was New York, with a Gini coefficient score of 0.51 in 2019. The Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing.

This table contains 58320 series, with data for years 1999 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (20 items: Canada; Atlantic; Newfoundland and Labrador; Prince Edward Island; ...); Assets and debts (27 items: Total assets; Private pension assets; Registered Retirement Savings Plans (RRSPs), Registered Retirement Income Funds (RRIFs), Locked-in Retirement Accounts (LIRAs) and other; Employer-sponsored Registered Pension Plans (EPPs); ...); Net worth quintiles (6 items: Total, all net worth quintiles; Lowest net worth quintile; Second net worth quintile; Middle net worth quintile; ...); Statistics (6 items: Total values; Percentage of total assets or total debts; Number holding asset or debt; Percentage holding asset or debt; ...); Confidence intervals (3 items: Estimate; Lower bound of a 95% confidence interval; Upper bound of a 95% confidence interval).

Income statistics by economic family type and income source, annual.

VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)

FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations

LAST UPDATED January 2019

DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.

DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html

American Community Survey (2001-2017) http://api.census.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.

Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.

Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.

Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.

In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling concern of underestimating a median wage for a teaching occupation that requires less than 2080 hours of work a year (equivalent to 12 months fulltime). Finally, the OES has missing employment data for occupations across the time series. To make the employment data comparable between years, gaps in employment data for occupations are ‘filled-in’ using linear interpolation if there are at least two years of employment data found in OES. Occupations with less than two years of employment data were dropped from the analysis. Over 80% of interpolated cells represent missing employment data for just one year in the time series. While this interpolating technique may impact year-over-year comparisons, the long-term trends represented in the analysis generally are accurate.

In 2022, San Francisco had the highest median household income of cities ranking within the top 25 in terms of population, with a median household income in of 136,692 U.S. dollars. In that year, San Jose in California was ranked second, and Seattle, Washington third.

Following a fall after the great recession, median household income in the United States has been increasing in recent years. As of 2022, median household income by state was highest in Maryland, Washington, D.C., Utah, and Massachusetts. It was lowest in Mississippi, West Virginia, and Arkansas. Families with an annual income of 25,000 and 49,999 U.S. dollars made up the largest income bracket in America, with about 25.26 million households.

Data on median household income can be compared to statistics on personal income in the U.S. released by the Bureau of Economic Analysis. Personal income rose to around 21.8 trillion U.S. dollars in 2022, the highest value recorded. Personal income is a measure of the total income received by persons from all sources, while median household income is “the amount with divides the income distribution into two equal groups,” according to the U.S. Census Bureau. Half of the population in question lives above median income and half lives below. Though total personal income has increased in recent years, this wealth is not distributed throughout the population. In practical terms, income of most households has decreased. One additional statistic illustrates this disparity: for the lowest quintile of workers, mean household income has remained more or less steady for the past decade at about 13 to 16 thousand constant U.S. dollars annually. Meanwhile, income for the top five percent of workers has actually risen from about 285,000 U.S. dollars in 1990 to about 499,900 U.S. dollars in 2020.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

Canada CA: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data was reported at 1.464 % in 2023. This records a decrease from the previous number of 1.673 % for 2022. Canada CA: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data is updated yearly, averaging 0.505 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 1.673 % in 2022 and a record low of 0.191 % in 1981. Canada CA: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: South Asia data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Imports. Merchandise imports from low- and middle-income economies in South Asia are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the South Asia region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;

Families of tax filers; Distribution of total income by census family type and age of older partner, parent or individual (final T1 Family File; T1FF).

The median family income in the United States grew to 100,800 U.S. dollars in 2023, an increase on the previous year. Family income is the total income earned by all family members who have been living in the household for at least one year and are at least 14 years old.

This map shows median income of individuals, for the population 15 years of age and over reporting income in 1995 (not including institutional residents). The highest median incomes were observed in the urban areas of Vancouver, Calgary, Toronto, Ottawa-Hull, Montreal, and Quebec. According to the 1996 Census, close to 21 million individuals reported income for 1995. The total income from all sources reflected a 6% decrease when compared to 1990. The national median income for Canada was $18 891. Incomes of individuals and families living in rural Canada tended to be lower than for urban areas. Differences in income distributions were also significant within major urban areas. Nearly 80% of the total population lived in census metropolitan areas.

Low income cut-offs (LICOs) before and after tax by community size and family size, in current dollars, annual.

COVID-19 - Government income support and benefits of census family units by census family type and number of children (1, 2, 3, 4)Frequency: OccasionalTable: 11-10-0100-01Release date: 2023-07-12Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part, Census agglomeration partFootnotes: 1 The data source for this table is the final version of the T1 Family File, created by the Centre for Income and Socio-Economic Well-being Statistics of Statistics Canada. Because they are based on a different methodology, estimates of the number of individuals and census families presented in this table differ from estimates produced by the Centre for Demography. Information on the data source, the historical availability, definitions of the terms used, and the geographies available can be found at https://www150.statcan.gc.ca/n1/en/catalogue/72-212-X" rel="external noopener noreferrer" target="_blank"> Technical Reference Guide for the Annual Income Estimates for Census Families2 This table should only be used in conjunction with income statistics produced using the T1 Family File. Because the counts available in this table are based on a different methodology, the family and person counts will differ from estimates produced by the Centre for Demography.3 COVID Benefits are benefits provided by the federal and provincial government during the pandemic to support individuals and families in 2020. More information is available from the https://www150.statcan.gc.ca/n1/en/catalogue/72-212-X" rel="external noopener noreferrer" target="_blank"> Technical Reference Guide for the Annual Income Estimates for Census Families4 Statistics are calculated based on families who received COVID benefits only.5 The Census Standard Geographical Classification (SGC) is used for data dissemination of the census metropolitan areas and the census agglomerations: from 2016 to 2020, SGC 2016; as of 2021, SGC 2021. 6 Census families are comprised of: 1) couples (married or common-law, including same-sex couples) living in the same dwelling with or without children, and 2) single parents (male or female) living with one or more children. Persons who are not matched to a family become persons not in census families. They may be living alone, with a family to whom they are related, with a family to whom they are unrelated or with other persons not in census families.7 A couple family consists of a couple living together (married or common-law, including same-sex couples) living at the same address with or without children.8 A lone-parent family is a family with only one parent, male or female, and with at least one child.9 A person not in census families is an individual who is not part of a census family, couple family or lone-parent family. Persons not in census families may live with their married children or with their children who have children of their own. They may be living with a family to whom they are related or unrelated. They may also be living alone or with other non-family persons.10 Children are tax filers or imputed persons in couple and lone-parent families. Tax filing children do not live with their spouse, have no children of their own and live with their parent(s). Most children are identified from the Canada Child Tax Benefit file, a provincial births file or a previous T1 family file.11 Median is the middle number in a group of numbers. Where a median income, for example, is given as $26,000, it means that exactly half of the incomes reported are greater than or equal to $26,000, and that the other half is less than or equal to the median amount. 12 Total income is income from all sources. As of 2020, COVID-19 - Government income support and benefits are included in income estimates. A detailed definition of what is included in total income is available from the Technical Reference Guide for the Preliminary Estimates from the T1 Family File (T1FF) - opens in a new browser window."

Canada CA: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data was reported at 28.364 % in 2023. This records a decrease from the previous number of 29.733 % for 2022. Canada CA: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data is updated yearly, averaging 7.230 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 29.801 % in 2021 and a record low of 3.746 % in 1968. Canada CA: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Imports. Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.;World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.;Weighted average;