About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Sands Point, NY, 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 62,342, while the mean income for the highest quintile (20% of households with the highest income) is 1,206,232. This indicates that the top earners earn 19 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 1,779,703, which is 147.54% higher compared to the highest quintile, and 2854.74% higher compared to the lowest quintile.

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:

• 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 2023 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 Sands Point median household income. You can refer the same here

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

Studies of classical gentrification typically focus on the embourgeoisement of neighborhoods and displacement of marginalized people. Recently, a new form of gentrification – super-gentrification – has emerged with the expansion of global finance capital, according to urban geographer Loretta Lees. Super-gentrification entails the further upscaling of already gentrified neighborhoods with the in-migration of upper-income residents and displacement of middle class residents, many of whom were among the initial gentrifiers. Despite the attention policy makers, urban planners, and the media are paying to the “middle class squeeze,” few quantitative studies of super-gentrification exist. Using data from the United States Decennial Census, American Community Survey, public residential sales transaction records, and real estate listings, this article sheds light on the landscape of super-gentrification and how to identify it with a quantitative analysis of changes in income, demographics, and housing affordability in the Park Slope neighborhood of Brooklyn, New York since 1970.