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These are the U.S. cities where Americans can actually afford to live on a single person’s income—and the ones out-of-budget for singletons

Housing & Real EstateEconomic DataInflation

The Economist's "Carrie Bradshaw Index" assesses solo-living affordability across 100 major U.S. cities, utilizing a 30% income-to-rent ratio for studio apartments based on Zumper data. For the second consecutive year, Wichita, Kansas, ranked as the most affordable, with median wages significantly exceeding the income required for a studio. Conversely, New York City was identified as one of the least affordable, demanding a $152,440 annual income for an average $3,811 studio rent, underscoring substantial disparities in urban housing market accessibility and potential implications for demographic shifts and real estate investment.

Analysis

The Economist's "Carrie Bradshaw Index" provides a critical assessment of solo-living affordability across 100 major U.S. cities, utilizing a 30% income-to-rent ratio for studio apartments based on Zumper data. This analysis reveals significant geographical disparities in housing accessibility for single individuals, a key demographic for rental markets.

Wichita, Kansas, stands out as the most affordable for the second consecutive year, with an average studio rent of $585 requiring an income of $23,400, substantially below its $58,000 median wage. Other budget-friendly options include Baton Rouge, Lincoln, Des Moines, and Akron, where average rents range from $585 to $735.

Conversely, New York City is highlighted as one of the least affordable, with an average studio rent of $3,811 demanding an annual income of $152,440, which is $91,140 above its median wage. High-cost cities like Miami, Jersey City, Charleston, and Boston also present substantial affordability challenges, reflecting persistent inflationary pressures in key urban real estate markets. This divergence underscores ongoing demographic shifts and the impact of inflation on housing costs, potentially influencing migration patterns and labor force distribution.

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