Home EconomicsProMap

Fanciness index by ZIP code

An interactive U.S. map of fanciness index for states, metro areas, counties and ZIP codes. Latest data: May 2026. PLUS

Open fanciness index on the map
Map: Fanciness index in the U.S. May 2026. ZIP codes.
Fanciness index in the U.S. May 2026. ZIP codes. Source: Home Economics fanciness index v5: model of Redfin price per sq ft (24 months to May 2026) from Census ACS 2019-23, IRS SOI 2022, CDC PLACES 2025, Overture Maps places, FEC 2024 donors and other public data. Map: ProMap, Home Economics.

What this measure is

How upscale a ZIP code looks, as a national percentile: 100 is the fanciest ZIP in the country and 50 is the middle. A model predicts the price per square foot a place would have, given its stores, incomes, health, housing and political donations and allowing for population density, and ZIPs are ranked on that prediction. The model is trained on other states, so a ZIP is never scored using its own state's prices. Counties, metros and states show the typical resident's ZIP: a population-weighted average.

Source, dates and coverage

Source
Home Economics model using Redfin prices and Census, IRS, CDC, Overture Maps and FEC data.
Updated
Rebuilt once a year. This version uses prices to May 2026. Latest data on the map: May 2026.
Areas on the map
States, metro areas, counties and ZIP codes.
Group
Neighborhood character
Access
ProMap Plus ($19 a month or $190 a year).

Values for every place

Fanciness index is a ProMap Plus measure. The map shows it for the areas listed above. This page shows the map's national picture, the method and the source, and no figures.

ProMap Plus costs $19 a month or $190 a year. A free 7-day trial is offered on the map.

See fanciness index in ProMap Plus

How to cite

Home Economics (Aziz Sunderji), ProMap, “Fanciness index”, https://homeeconomics.us/promap/measure/fanciness-index, accessed 15 November 2026.

Please also credit the original source: Home Economics model using Redfin prices and Census, IRS, CDC, Overture Maps and FEC data.

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