Graph and download economic data for Real Median Household Income in New York (MEHOINUSNYA672N) from 1984 to 2023 about NY, households, median, income, real, and USA.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Manhattan. 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 Manhattan. 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 Manhattan, householders within the 45 to 64 years age group have the highest median household income at $157,819, followed by those in the 25 to 44 years age group with an income of $123,795. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $96,458. Notably, householders within the under 25 years age group, had the lowest median household income at $73,553.

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 Manhattan 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.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Manhattan: 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 5,286(24.39%) households where the householder is under 25 years old, 7,986(36.84%) households with a householder aged between 25 and 44 years, 5,061(23.35%) households with a householder aged between 45 and 64 years, and 3,344(15.43%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 25 to 44 years bracket. This distribution hints at economic disparities within the city of Manhattan, showcasing varying income levels among different age demographics.

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

Graph and download economic data for Estimate of Median Household Income for New York County, NY (MHINY36061A052NCEN) from 1989 to 2023 about New York County, NY; New York; NY; households; median; income; and USA.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Manhattan Beach, CA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, all of the household sizes were found in Manhattan Beach. Across the different household sizes in Manhattan Beach the mean income is $231,543, and the standard deviation is $70,048. The coefficient of variation (CV) is 30.25%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households. Please note that the U.S. Census Bureau uses $250,001 as a JAM value to report incomes of $250,000 or more. In the case of Manhattan Beach, there were 5 household sizes where the JAM values were used. Thus, the numbers for the mean and standard deviation may not be entirely accurate and have a higher possibility of errors. However, to obtain an approximate estimate, we have used a value of $250,001 as the income for calculations, as reported in the datasets by the U.S. Census Bureau.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $94,518. It then further increased to $270,229 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/manhattan-beach-ca-median-household-income-by-household-size.jpeg" alt="Manhattan Beach, CA median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

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 Manhattan Beach median household income. You can refer the same here

Graph and download economic data for Estimate of Median Household Income for Riley County, KS (MHIKS20161A052NCEN) from 1989 to 2023 about Riley County, KS; Manhattan; KS; households; median; income; and USA.

A dataset listing the richest zip codes in New York per the most current US Census data, including information on rank and average income.

About this dataset

Context

The dataset tabulates the median household income in Manhattan. It can be utilized to understand the trend in median household income and to analyze the income distribution in Manhattan by household type, size, and across various income brackets.

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).

• Manhattan, KS Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Manhattan, KS: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Manhattan, KS
• Manhattan, KS households by income brackets: family, non-family, and total, in 2022 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/.

Interested in deeper insights and visual analysis?

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

Graph and download economic data for 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Geary County, KS (MHICIUBKS20061A052NCEN) from 1989 to 2023 about Geary County, KS; Manhattan; KS; households; median; income; and USA.

Graph and download economic data for 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pottawatomie County, KS (MHICILBKS20149A052NCEN) from 1989 to 2023 about Pottawatomie County, KS; Manhattan; KS; households; median; income; and USA.

In 2023, the per capita personal income in New York was 82,323 U.S. dollars. Per capita personal income is calculated as the personal income of the residents of a given area divided by the resident population of the area.

Table of ACS Demographics and profile represented at the NTA level. NTAs are aggregations of census tracts that are subsets of New York City's 55 Public Use Microdata Areas (PUMAs)

About this dataset

Context

The dataset tabulates the median household income in Manhattan. It can be utilized to understand the trend in median household income and to analyze the income distribution in Manhattan by household type, size, and across various income brackets.

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).

• Manhattan, IL Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Manhattan, IL: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Manhattan, IL
• Manhattan, IL households by income brackets: family, non-family, and total, in 2022 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/.

Interested in deeper insights and visual analysis?

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

IntroductionOur study explores how New York City (NYC) communities of various socioeconomic strata were uniquely impacted by the COVID-19 pandemic.MethodsNew York City ZIP codes were stratified into three bins by median income: high-income, middle-income, and low-income. Case, hospitalization, and death rates obtained from NYCHealth were compared for the period between March 2020 and April 2022.ResultsCOVID-19 transmission rates among high-income populations during off-peak waves were higher than transmission rates among low-income populations. Hospitalization rates among low-income populations were higher during off-peak waves despite a lower transmission rate. Death rates during both off-peak and peak waves were higher for low-income ZIP codes.DiscussionThis study presents evidence that while high-income areas had higher transmission rates during off-peak periods, low-income areas suffered greater adverse outcomes in terms of hospitalization and death rates. The importance of this study is that it focuses on the social inequalities that were amplified by the pandemic.

The New York City (NYC) Heat Vulnerability Index (HVI) is a measure of how the risk of heat-related illness or death differs across neighborhoods. Neighborhood risk factors that increase heat- vulnerability in NYC are: less home air conditioning less green space hotter surface temperatures and more residents who are low-income or non-Latinx Black. Differences in these risk factors across neighborhoods are rooted in past and present racism.HVI is calculated by summing the z scores of the following variables and then assigning the sum to quintile (1-5, with 5 being highest risk of death during heat events):• Median household income, (American Community Survey 2016-2020 5-year estimates)• Percent vegetative cover (trees, shrubs or grass) (2017 LiDAR, NYC DOITT)• Percent of population reported as Non-Hispanic Black on American Community Survey (2016-2020 5-year estimates)• Average surface temperature data from the NASA’s ECOSTRESS (2020)• Percent of households reporting Air Conditioning access, Housing ad Vacancy Survey, 2017This updated HVI is using the 2020 census boundaries.MODZCTA- A shapefile for mapping data by Modified Zip Code Tabulation Areas (MODZCTA) in NYC, based on the 2010 Census ZCTA shapefile. MODZCTA are being used by the NYC Department of Health & Mental Hygiene (DOHMH) for mapping COVID-19 Data.

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Manhattan, IL, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 34,694, while the mean income for the highest quintile (20% of households with the highest income) is 272,371. This indicates that the top earners earn 8 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 420,764, which is 154.48% higher compared to the highest quintile, and 1212.79% higher compared to the lowest quintile.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

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 Manhattan median household income. You can refer the same here

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Manhattan Beach. 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 Manhattan Beach. 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 Manhattan Beach, the median household income stands at $237,129 for householders within the 45 to 64 years age group, followed by $206,306 for the 25 to 44 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $128,563.

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 Manhattan Beach median household income by age. You can refer the same here

The Heat Vulnerability Index (HVI) shows neighborhoods whose residents are more at risk for dying during and immediately following extreme heat. It uses a statistical model to summarize the most important social and environmental factors that contribute to neighborhood heat risk. The factors included in the HVI are surface temperature, green space, access to home air conditioning, and the percentage of residents who are low-income or non-Latinx Black. Differences in these risk factors across neighborhoods are rooted in past and present racism. Neighborhoods are scored from 1 (lowest risk) to 5 (highest risk) by summing the following factors and assigning them into 5 groups (quintiles):

Median Household Income (American Community Survey 5 year estimate, 2016-2020) Percent vegetative cover (trees, shrubs or grass) (2017 LiDAR, NYC DOITT) Percent of population reported as Non-Hispanic Black on Census 2020 Average surface temperature Fahrenheit from ECOSSTRESS thermal imaging, August 27,2020 Percent of households reporting Air Conditioning access, Housing ad Vacancy Survey, 2017

The STEW-MAP NYC 2017 Story Map is a web-based mapping tool designed to allow users to view the STEW-MAP project overview, groups, connections, project map, and indices and neighborhoods landscape data for the New York City area. In this Story Map, The Landscape tab shows stewardship data alongside other social and environmental characteristics, summarized at the neighborhood level. The map uses 2010 NYC Neighborhood Tabulation Areas (NTAs) to represent NYC neighborhoods. Use this map to explore patterns and relationships in your neighborhood and citywide. This document discusses the methodology used to derive the stewardship index and comparable social and environmental data layers. Stewardship Index: For examining stewardship in each NTA, we developed a 3-variable stewardship index to capture more information from the STEW-MAP survey than number of groups working in an NTA. We selected staffing (StaffSum where part time staff are weighed as half of full-time staff), number of groups working in a neighborhood (Join_Count) and number of collaborative network connections (NumOfAlters) as these are important variables for measuring stewardship group capacity in a neighborhood. For each of those three variables, we calculated each NTA’s z-score, or how far a neighborhood deviates from the median value. On the map, neighborhoods marked by darker colors are those with higher z-scores with respect to the stewardship variable selected. Finally, we averaged together these three measures of stewardship capacity – staffing, number of groups, and number of collaborative network ties– for each NTA to create the 3 Variable Stewardship Index layer. Social and Environmental Datasets: The Landscape tab is intended to be a tool to allow users to view stewardship indices derived from STEW-MAP survey data alongside other critical social and environmental datasets. For New York City, we included the following biophysical variables: land surface temperature, effective flood hazard, urban tree canopy cover, the number of parks in an NTA, community garden presence, street tree census data, as well as the following social variables: the CDC’s social vulnerability index, median income and median year moved in.