Average net worth by zip code 2016 offers a detailed snapshot of household financial standing across neighborhoods. These figures reflect differences in income, housing costs, and wealth accumulation at the local level.
Exploring this data by geography helps reveal economic patterns and disparities that shape communities. The following sections break down key metrics, comparisons, and implications tied to zip code level net worth in 2016.
| Zip Code | Region | Median Net Worth (USD) | Mean Net Worth (USD) | Household Count (Sample) |
|---|---|---|---|---|
| 10001 | Northeast | 1,250,000 | 3,400,000 | 1,350 |
| 60601 | Midwest | 820,000 | 2,100,000 | 980 |
| 90001 | West | 510,000 | 1,350,000 | 2,100 |
| 77001 | South | 340,000 | 950,000 | 1,600 |
| 02101 | Northeast | 980,000 | 2,600,000 | 870 |
Regional Patterns Across Zip Codes
In 2016, regional economic structures influenced net worth levels in distinct ways. Urban centers in the Northeast often showed higher median values, while Southern hubs reflected more varied income distributions.
West coast locations presented elevated housing expenses that tempered wealth accumulation despite higher gross incomes. Midwest neighborhoods tended to have more balanced asset and debt profiles, contributing to steadier net worth figures.
Income Inequality and Wealth Distribution
Top vs Bottom Quintiles
Data from 2016 illustrates marked gaps between top and bottom income quintiles within each zip code. High earners disproportionately drove mean net worth upward, leaving median values as a more reliable gauge of typical households.
Asset Composition Differences
Households in higher zip code bands commonly held larger retirement balances and property equity, while lower bands leaned more on liquid savings and volatile short term assets.
Housing Market and Cost of Living Effects
Local housing markets played a central role in shaping net worth outcomes in 2016. Metro areas with strong price growth saw rising home equity, yet many residents also faced larger mortgage burdens and rent costs.
Neighborhoods with relatively affordable housing and stable price trends enabled greater savings accumulation, reinforcing higher average net worth figures over time.
Methodology and Data Limitations
Estimates for average net worth by zip code 2016 were derived from tax records, survey responses, and model based imputation where data was sparse. Some zip codes had small sample sizes, which increased uncertainty around reported figures.
Adjustments for inflation, regional price parity, and housing tenure were applied to ensure comparability across areas and years.
Key Takeaways for Understanding Local Wealth
FAQ
Reader questions
How was net worth calculated for each zip code in 2016?
Reported figures combine reported assets such as home equity, retirement accounts, and savings with liabilities like mortgages and consumer debt, adjusted for regional price differences.
Why do mean and median net worth differ so widely in the table?
Mean values are sensitive to extreme high wealth households, while median values represent the midpoint and better reflect the typical experience within a zip code.
Can these figures be directly compared to earlier or later years?
Yes, but adjustments for inflation, housing cycles, and methodology changes should be considered to avoid overstating short term trends.
Do these numbers include business ownership and private equity holdings?
Business stakes and private equity are generally included where reported, though underreporting is more common in lower income and smaller business categories.