Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in New York. 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 New York. 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 New York, householders within the 25 to 44 years age group have the highest median household income at $99,495, followed by those in the 45 to 64 years age group with an income of $84,477. Meanwhile householders within the under 25 years age group report the second lowest median household income of $57,885. Notably, householders within the 65 years and over age group, had the lowest median household income at $49,429.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New York median household income by age. You can refer the same here
In 2023, the median household income in New York amounted to 81,600 U.S. dollars. This is an increase from the previous year, when the median household income in the state amounted to 75,910 U.S. dollars. The median household income for the United States can be accessed 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.
In 2023, the average annual pay of employees in New York totaled to ****** U.S. dollars. This is a significant increase from 2001 levels, when the average annual pay of employees was ****** U.S. dollars.
https://www.incomebyzipcode.com/terms#TERMShttps://www.incomebyzipcode.com/terms#TERMS
A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.
Comprehensive demographic dataset for Manhattan, New York City, NY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
This data set represents the aggregate total occupational earnings by state. This includes the mean and median hourly wage, as well as the mean annual salary for each state. http://www.bls.gov/OES/
This annual study provides selected income and tax items classified by State, ZIP Code, and the size of adjusted gross income. These data include the number of returns, which approximates the number of households; the number of personal exemptions, which approximates the population; adjusted gross income; wages and salaries; dividends before exclusion; and interest received. Data are based who reported on U.S. Individual Income Tax Returns (Forms 1040) filed with the IRS. SOI collects these data as part of its Individual Income Tax Return (Form 1040) Statistics program, Data by Geographic Areas, ZIP Code Data.
This dataset explores Earnings, average weekly, by province and territory in Canada for 2003-2007. This data is for All industries excluding unclassified enterprises Notes: - Data include overtime. - North American Industry Classification System (NAICS), 2002. Source: Statistics Canada, CANSIM, table (for fee) 281-0044 and Catalogue no. 72-002-X. Last modified: 2008-03-31.
Comprehensive demographic dataset for Brooklyn, New York City, NY, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
This dataset explores the Statistics Canada data from the 2001 Census of earnings by highest level of education completed. Average earnings of the population 15 years and over by highest level of schooling, by province and territory (2001 Census) Definitions Highest level of schooling: Refers to the highest grade or year of elementary or secondary (high) school attended, or to the highest year of university or other non-university education completed. University education is considered to be a higher level of schooling than other non-university education. Also, the attainment of a degree, certificate or diploma is considered to be at a higher level than years completed or attended without an educational qualification. Earnings (employment income): Refers to total income received by persons 15 years of age and over during calendar year 2000 as wages and salaries, net income from a non-farm unincorporated business and/or professional practice, and/or net farm self-employment income. High school graduation certificate and/or some postsecondary: Includes persons who have attended courses at postsecondary institutions and who may or may not have a high school graduation certificate. Excludes persons with a postsecondary certificate, diploma or degree. Since 1981, "postsecondary" refers to years of schooling completed at university or at institutions other than a university, a secondary (high) school or an elementary school. Examples of postsecondary institutions include community colleges, institutes of technology, CEGEPs, private trade schools, private business colleges and schools of nursing.
This dataset shows the incomes of people reporting from their job location. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level.
This dataset shows the incomes of people reporting from their job location. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1344.
This dataset explores Statistics Canada Average percent change of average hourly wages by selected characteristics and profession, unadjusted data, by province (monthly). 1. Those who work as employees of a private firm or business or the public sector. 2. Employees who are members of a union and employees who are not union members but who are covered by a collective agreement or a union contract. 3. Employees who are not members of a union or not covered by a collective agreement or a union contract. 4. A permanent job is one that is expected to last as long as the employee wants it, given that business conditions permit. That is, there is no pre-determined termination date. 5. A temporary job has a predetermined end date, or will end as soon as a specified project is completed. Includes seasonal jobs; temporary, term or contract jobs including work done through a temporary help agency; casual jobs; and other temporary work. Sources: Statistics Canada, CANSIM tables (for fee) 282-0069 and 282-0073. Last modified: 2008-06-06.
This dataset shows the incomes of residents. The data is part of the Census Transportation Planning Package (CTPP), and is the result of a cooperative effort between various groups including the State Departments of Transportation, U.S. Census Bureau, and the Federal Highway Administration. The data is a special tabulation of responses from households completing the decennial census long form. The data was collected in 2000 and is shown at tract level. This data can be found at http://www.transtats.bts.gov/Fields.asp?Table_ID=1338.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in New York. 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 New York. 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 New York, householders within the 25 to 44 years age group have the highest median household income at $99,495, followed by those in the 45 to 64 years age group with an income of $84,477. Meanwhile householders within the under 25 years age group report the second lowest median household income of $57,885. Notably, householders within the 65 years and over age group, had the lowest median household income at $49,429.
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:
Variables / Data Columns
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.
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/.
This dataset is a part of the main dataset for New York median household income by age. You can refer the same here