Explore cost of living by city

These city profiles use a simple index where 100 represents the estimated US average cost of living. Higher numbers mean relatively more expensive, and lower numbers mean relatively less expensive.

San Francisco

CA

Index 190

Cost of living breakdown for San Francisco, CA.

Los Angeles

CA

Index 150

Cost of living breakdown for Los Angeles, CA.

San Diego

CA

Index 145

Cost of living breakdown for San Diego, CA.

Austin

TX

Index 120

Cost of living breakdown for Austin, TX.

Dallas

TX

Index 105

Cost of living breakdown for Dallas, TX.

Houston

TX

Index 100

Cost of living breakdown for Houston, TX.

New York

NY

Index 200

Cost of living breakdown for New York, NY.

Buffalo

NY

Index 90

Cost of living breakdown for Buffalo, NY.

Miami

FL

Index 125

Cost of living breakdown for Miami, FL.

Orlando

FL

Index 110

Cost of living breakdown for Orlando, FL.

Seattle

WA

Index 155

Cost of living breakdown for Seattle, WA.

Spokane

WA

Index 105

Cost of living breakdown for Spokane, WA.

Denver

CO

Index 125

Cost of living breakdown for Denver, CO.

Boulder

CO

Index 140

Cost of living breakdown for Boulder, CO.

Chicago

IL

Index 120

Cost of living breakdown for Chicago, IL.

Atlanta

GA

Index 110

Cost of living breakdown for Atlanta, GA.

Phoenix

AZ

Index 108

Cost of living breakdown for Phoenix, AZ.

Tucson

AZ

Index 100

Cost of living breakdown for Tucson, AZ.

Boston

MA

Index 155

Cost of living breakdown for Boston, MA.

Cambridge

MA

Index 160

Cost of living breakdown for Cambridge, MA.

How to use city profiles for real budgeting

This page supports city-level operating cost planning for households deciding where to rent or buy. The practical goal is to turn research into decisions that remain stable over time, especially when markets change or personal timelines shift. RentX content is built to reduce ambiguity through clear categories, internal links, and direct explanation of limits. The main risk on this page is ignoring neighborhood and commute variation after reading city averages. To avoid that, use a repeatable comparison model, stress-test assumptions with conservative scenarios, and validate critical details with current local sources before signing any agreement or making irreversible commitments. If you follow that sequence consistently, this page becomes a working decision tool instead of a passive reference.