🇬🇧 United Kingdom English The small area model-based income estimates are the official estimates of average (mean) household income at the middle layer super output area (MSOA) level in England and Wales for 2011/12, 2013/14 and 2015/16. For 2015-16 the figures are average annual income. For 2013/14 and 2011/12 the figures are average weekly income. They are calculated using a model based method to produce the following four estimates of income using a combination of survey data from the Family Resources Survey, and previously published data from the 2011 Census and a number of administrative data sources. The four different measures of income are: Total household income Net household income Net household income (equivalised) before housing costs Net household income (equivalised) after housing costs Total annual household income is the sum of the gross income of every member of the household plus any income from benefits such as Working Families Tax Credit. Net annual household income is the sum of the net income of every member of the household. It is calculated using the same components as total income but income is net of: income tax payments; national insurance contributions; domestic rates/council tax; contributions to occupational pension schemes; all maintenance and child support payments, which are deducted from the income of the person making the payments; and

The small area model-based income estimates are the official estimates of average (mean) household income at the middle layer super output area (MSOA) level in England and Wales for 2011/12, 2013/14 and 2015/16.

For 2015-16 the figures are average annual income. For 2013/14 and 2011/12 the figures are average weekly income.

They are calculated using a model based method to produce the following four estimates of income using a combination of survey data from the Family Resources Survey, and previously published data from the 2011 Census and a number of administrative data sources. The four different measures of income are:

1. Total household income
2. Net household income
3. Net household income (equivalised) before housing costs
4. Net household income (equivalised) after housing costs

Total annual household income is the sum of the gross income of every member of the household plus any income from benefits such as Working Families Tax Credit.

Net annual household income is the sum of the net income of every member of the household. It is calculated using the same components as total income but income is net of:

• income tax payments;
• national insurance contributions;
• domestic rates/council tax;
• contributions to occupational pension schemes;
• all maintenance and child support payments, which are deducted from the income of the person making the payments; and
• parental contribution to students living away from home.

Net annual household income before housing costs (equivalised) is composed of the same elements as net household weekly income but is subject to the OECD’s equivalisation scale.

Net annual household income after housing costs (equivalised) is composed of the same elements of net household weekly income but is subject to the following deductions prior to the OECD’s equivalisation scale being applied:

• rent (gross of housing benefit);
• water rates, community water charges and council water charges;
• mortgage interest payments (net of any tax relief);
• structural insurance premiums (for owner occupiers); and
• ground rent and service charges.

For detailed information on aspects of the quality and methodology behind these statistics, "https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/methodologies/smallareaincomeestimatesmodelbasedestimatesofthemeanhouseholdweeklyincomeformiddlelayersuperoutputareas201314technicalreport " target="_blank">see the Technical Report.

This dataset is included in the Greater London Authority's Night Time Observatory. Click here to find out more.

Estimates of mean weekly household income and housing affordability at Middle Super Output Area (MSOA) level from the Office for National Satistics.

Graph and download economic data for Estimate of Median Household Income for Jefferson County, IA (MHIIA19101A052NCEN) from 1989 to 2023 about Jefferson County, IA; IA; households; median; income; and USA.

Model-based estimates of income for Middle Layer Super Output Areas (MSOAs). The estimates have been produced using a modelling methodology that enables survey data to be combined with Census and administrative data. The survey data used within the modelling process was obtained from the 2004/05 Family Resources Survey (FRS). The choice of the FRS enabled each of the four survey variables on income to be modelled. The estimates and confidence intervals produced are values of the average MSOA income for the following four income types: 1) Average weekly household total income (unequivalised). 2) Average weekly household net income (unequivalised). 3) Average weekly household net income before housing costs (equivalised). 4) Average weekly household net income after housing costs (equivalised). Source: Office for National Statistics (ONS) Publisher: Neighbourhood Statistics Geographies: Middle Layer Super Output Area (MSOA) Geographic coverage: England and Wales Time coverage: 2004/05, 2007/08 Type of data: Modelled data

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Colorado (MHICILBCO08000A052NCEN) from 1989 to 2023 about CO, households, median, income, and USA.

The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) program provides annual estimates of income and poverty statistics for all school districts, counties, and states. The main objective of this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. In order to implement provisions under Title I of the Elementary and Secondary Education Act as amended, we produce total population, number of children ages 5 to 17, and number of related children ages 5 to 17 in families in poverty estimates for school districts.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in United States. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in United States. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in United States, householders within the 45 to 64 years age group have the highest median household income at $94,847, followed by those in the 25 to 44 years age group with an income of $87,575. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $57,108. Notably, householders within the under 25 years age group, had the lowest median household income at $43,534.

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.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

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 United States median household income by age. You can refer the same here

This dataset provides quarterly personal income estimates for State of Iowa produced by the U.S. Bureau of Economic Analysis . Data includes the following estimates: personal income, per capita personal income, proprietors' income, farm proprietors' income, compensation of employees and private nonfarm earnings, compensation, and wages and salaries for wholesale trade. Personal income, proprietors' income, and farm proprietors' income available beginning 1997; per capita personal income available beginning 2010; and all other data beginning 1998.

Personal income is defined as the sum of wages and salaries, supplements to wages and salaries, proprietors’ income, dividends, interest, and rent, and personal current transfer receipts, less contributions for government social insurance. Personal income for Iowa is the income received by, or on behalf of all persons residing in Iowa, regardless of the duration of residence, except for foreign nationals employed by their home governments in Iowa. Per capita personal income is personal income divided by the Census Bureau’s midquarter population estimates.

Proprietors' income is the current-production income (including income in kind) of sole proprietorships, partnerships, and tax-exempt cooperatives. Corporate directors' fees are included in proprietors' income. Proprietors' income includes the interest income received by financial partnerships and the net rental real estate income of those partnerships primarily engaged in the real estate business.

Farm proprietors’ income as measured for personal income reflects returns from current production; it does not measure current cash flows. Sales out of inventories are included in current gross farm income, but they are excluded from net farm income because they represent income from a previous year’s production.

Compensation to employees is the total remuneration, both monetary and in kind, payable by employers to employees in return for their work during the period. It consists of wages and salaries and of supplements to wages and salaries. Compensation is presented on an accrual basis - that is, it reflects compensation liabilities incurred by the employer in a given period regardless of when the compensation is actually received by the employee.

Private nonfarm earnings is the sum of wages and salaries, supplements to wages and salaries, and nonfarm proprietors' income, excluding farm and government.

Private nonfarm wages and salaries is wages and salaries excluding farm and government. Wages and salaries is the remuneration receivable by employees (including corporate officers) from employers for the provision of labor services. It includes commissions, tips, and bonuses; employee gains from exercising stock options; and pay-in-kind. Judicial fees paid to jurors and witnesses are classified as wages and salaries. Wages and salaries are measured before deductions, such as social security contributions, union dues, and voluntary employee contributions to defined contribution pension plans.

More terms and definitions are available on https://apps.bea.gov/regional/definitions/.

This data collection provides information on income and population estimates for the United States in the period 1969-1973. Variables include the total population in 1970, estimated population in 1973, per capita income for 1969, and estimated total money income for 1973. Data are recorded for each of the 38,529 governments (counties, townships, minor civil divisions, etc.) eligible for participation in the Federal Revenue Sharing Program. These data were prepared as part of the Bureau of the Census's Federal-State Cooperative Program for Local Population Estimates.

Graph and download economic data for Estimate of Median Household Income for Massachusetts (MHIMA25000A052NCEN) from 1989 to 2023 about MA, households, median, income, and USA.

Mean and median gross household income estimates at Data Zone level for 2014

This summary view provides quarterly per capita personal income estimates for State of Iowa produced by the U.S. Bureau of Economic Analysis .

Personal income is defined as the sum of wages and salaries, supplements to wages and salaries, proprietors’ income, dividends, interest, and rent, and personal current transfer receipts, less contributions for government social insurance. Personal income for Iowa is the income received by, or on behalf of all persons residing in Iowa, regardless of the duration of residence, except for foreign nationals employed by their home governments in Iowa. Per capita personal income is personal income divided by the Census Bureau’s midquarter population estimates.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in St. Johns: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 42(1.31%) households where the householder is under 25 years old, 961(30.07%) households with a householder aged between 25 and 44 years, 1,183(37.02%) households with a householder aged between 45 and 64 years, and 1,010(31.60%) households where the householder is over 65 years old.
• In St. Johns, the age group of 45 to 64 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

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:

• 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
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

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 St. Johns median household income by age. You can refer the same here

Graph and download economic data for Estimate of Median Household Income for Maine (MHIME23000A052NCEN) from 1989 to 2023 about ME, households, median, income, and USA.

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 Jefferson Parish. 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 Jefferson Parish, the median income for all workers aged 15 years and older, regardless of work hours, was $41,070 for males and $29,935 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 27% between the median incomes of males and females in Jefferson Parish. With women, regardless of work hours, earning 73 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecounty of Jefferson Parish.

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 Jefferson Parish.

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 Jefferson Parish median household income by race. You can refer the same here

Households by Income Group by City of San Diego Community Planning Area from the SANDAG Vintage 24 Population and Housing Estimates

A broad and generalized selection of 2013-2017 US Census Bureau 2017 5-year American Community Survey income and earnings data estimates, obtained via Census API and joined to the appropriate geometry (in this case, New Mexico counties). The selection, while not comprehensive, provides a first-level characterization of the household income, median household income by race and by age group, Social Security income, the GINI Index, per capita income, median family income, and median household earnings by age, and by education level, in New Mexico. The determination of which estimates to include was based upon level of interest and providing a manageable dataset for users. The U.S. Census Bureau's American Community Survey (ACS) is a nationwide, continuous survey designed to provide communities with reliable and timely demographic, housing, social, and economic data every year. The ACS collects long-form-type information throughout the decade rather than only once every 10 years. As in the decennial census, strict confidentiality laws protect all information that could be used to identify individuals or households.The ACS combines population or other data from multiple years to produce reliable numbers for small counties, neighborhoods, and other local areas. To provide information for communities each year, the ACS provides 1-, 3-, and 5-year estimates. ACS 5-year estimates (multiyear estimates) are “period” estimates that represent data collected over a 60-month period of time (as opposed to “point-in-time” estimates, such as the decennial census, that approximate the characteristics of an area on a specific date). ACS data are released in the year immediately following the year in which they are collected. ACS estimates based on data collected from 2009–2014 should not be called “2009” or “2014” estimates. Multiyear estimates should be labeled to indicate clearly the full period of time. The primary advantage of using multiyear estimates is the increased statistical reliability of the data for less populated areas and small population subgroups. Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. While each full Data Profile contains margin of error (MOE) information, this dataset does not. Those individuals requiring more complete data are directed to download the more detailed datasets from the ACS American FactFinder website. This dataset is organized by New Mexico county boundaries, based on TIGER/Line Files: shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database. NOTE: A '-666666666' entry indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.