Gen Z Rent Burden: A Data Analysis of Housing Affordability in Top U.S. Metros

Demographics
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Data Points

MSA  Gen Z Rented  Households  Avg. Monthly  Gross Rent  Rent-to-Income  Ratio (Rent Burden)    Los Angeles,  CA                      189,158   $2,370  42%    Atlanta, GA                      106,272   $1,773  37%    Dallas, TX                      189,899   $1,695  37%    Phoenix, AZ                      107,444   $1,855  35%    Washington, DC                      114,638   $2,166  35%    New York, NY                      268,843   $2,496  35%    Houston, TX                      164,808   $1,486  34%    Philadelphia,  PA                      104,460   $1,706  34%    Seattlee, WA                       96,506   $2,086  33%    Chicago, IL                      162,562   $1,672  32%

Date Published:
September 11, 2025
Date Updated:
September 11, 2025
Chart type:
Table
Suggested Citation:
Polygon Research, Polygon Vision - CensusVision analysis of IPUMS USA, University of Minnesota, US Census American Community Survey (ACS) Public Use Microdata Sample (PUMS) 2019-2023.
Key Insight and Commentary

This analysis of the top 10 U.S. metros by Gen Z renter households reveals a critical disconnect between rent price and true affordability, presenting a new lens for assessing future market risk and opportunity.

While New York has the highest average rent ($2,496), it is Los Angeles where Gen Z renters are most cost-burdened, spending an average of 42.2% of their income on housing. This disparity, driven by a mismatch between local incomes and rents, is also seen in Dallas and Atlanta, which rank second and third for rent burden despite having more moderate rents.

For mortgage lenders, this data provides a leading indicator of the financial health of the next wave of homebuyers. Gen Z’s low national homeownership rate (20.23%) signifies a massive future borrower pipeline. However, the high rent burdens in these key markets point to a generation with diminished savings capacity and potentially higher DTI ratios.

Strategic Positioning

Lenders who use this data to identify markets where low down payment products (e.g., FHA loans) and down payment assistance are most needed will gain a significant competitive advantage over the next decade.

Notes: The Rent-to-Income Ratio is the median of ratios calculated at the individual household level from IPUMS USA ACS PUMS microdata (2019-2023). MSAs were constructed from PUMAs.

From Analysis to Action

This analysis provides a clear blueprint for how to uncover meaningful market dynamics. Its true power is unleashed when you apply this same methodology to your own local markets. Because all real estate is local, this granular approach is essential for crafting precise strategies that effectively address the unique conditions of each community.

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