Pittsburgh, PA
#1- Searches / 1k HH
- 54.4
- vs weather
- 3.18x
- Median home built
- 1942
- Frozen / burst pipe
- 5.9
Winter Home Emergency Index · 2026 edition
We ranked the 100 largest US cities by typical December–February search demand for furnace, frozen-pipe and emergency plumber help, per 1,000 households. Pittsburgh, Cleveland and Denver are the top cities that also hold up when measured against their whole metro.
| 1 | Pittsburgh, PA | 3.18x | 5.9 | 83% | Confirmed | |
| 2 | Cleveland, OH | 3.04x | 4.1 | 86% | Confirmed | |
| 3 | Atlanta, GA | 2.80x | 4.7 | 44% | Not confirmed | |
| 4 | Denver, CO | 2.16x | 2.6 | 57% | Confirmed | |
| 5 | St. Louis, MO | 2.21x | 3.1 | 86% | Not confirmed | |
| 6 | Cincinnati, OH | 2.16x | 4.0 | 81% | Not confirmed | |
| 7 | St. Paul, MN | 1.73x | 2.9 | 79% | Not confirmed | |
| 8 | Minneapolis, MN | 1.64x | 4.1 | 73% | Not confirmed | |
| 9 | Buffalo, NY | 1.68x | 4.1 | 90% | Confirmed | |
| 10 | Detroit, MI | 1.48x | 2.6 | 90% | Not confirmed | |
| 11 | Indianapolis, IN | 1.50x | 2.9 | 60% | Confirmed | |
| 12 | Frisco, TX | 1.84x | 1.8 | 2% | Not confirmed | |
| 13 | Kansas City, MO | 1.39x | 2.5 | 64% | Not confirmed | |
| 14 | Fort Wayne, IN | 1.26x | 3.2 | 65% | Confirmed | |
| 15 | Dallas, TX | 1.86x | 1.5 | 50% | Not confirmed | |
| 16 | Portland, OR | 1.56x | 0.7 | 64% | Confirmed | |
| 17 | Colorado Springs, CO | 1.27x | 1.4 | 40% | Confirmed | |
| 18 | Louisville, KY | 1.31x | 2.6 | 62% | Confirmed | |
| 19 | Toledo, OH | 1.17x | 2.2 | 84% | Confirmed | |
| 20 | Fort Worth, TX | 1.62x | 1.2 | 35% | Not confirmed | |
| 21 | Richmond, VA | 1.36x | 3.2 | 72% | Not confirmed | |
| 22 | Columbus, OH | 1.13x | 1.8 | 51% | Confirmed | |
| 23 | Baltimore, MD | 1.21x | 2.5 | 83% | Not confirmed | |
| 24 | Lexington, KY | 1.17x | 2.4 | 46% | Confirmed | |
| 25 | Omaha, NE | 1.00x | 1.4 | 62% | Confirmed | |
| 26 | Raleigh, NC | 1.30x | 1.6 | 24% | – | |
| 27 | Plano, TX | 1.33x | 1.5 | 19% | – | |
| 28 | Milwaukee, WI | 0.90x | 1.8 | 85% | – | |
| 29 | Seattle, WA | 1.15x | 1.1 | 54% | – | |
| 30 | Lubbock, TX | 1.15x | 1.9 | 46% | – | |
| 31 | San Jose, CA | 1.45x | 0.6 | 61% | – | |
| 32 | Orlando, FL | 2.43x | 2.2 | 33% | – | |
| 33 | Winston-Salem, NC | 1.11x | 1.7 | 50% | – | |
| 34 | Nashville, TN | 1.10x | 2.5 | 42% | – | |
| 35 | Chicago, IL | 0.88x | 2.1 | 77% | – | |
| 36 | Garland, TX | 1.31x | 1.5 | 54% | – | |
| 37 | Charlotte, NC | 1.13x | 1.5 | 29% | – | |
| 38 | Aurora, CO | 0.89x | 1.4 | 38% | – | |
| 39 | Tulsa, OK | 1.02x | 1.5 | 65% | – | |
| 40 | Las Vegas, NV | 1.24x | 0.7 | 23% | – | |
| 41 | Sacramento, CA | 1.21x | 0.8 | 55% | – | |
| 42 | Chesapeake, VA | 1.06x | 1.4 | 32% | – | |
| 43 | Memphis, TN | 1.04x | 1.8 | 67% | – | |
| 44 | Wichita, KS | 0.86x | 1.7 | 58% | – | |
| 45 | Greensboro, NC | 0.94x | 1.9 | 45% | – | |
| 46 | Philadelphia, PA | 0.84x | 1.8 | 84% | – | |
| 47 | Virginia Beach, VA | 0.98x | 1.4 | 40% | – | |
| 48 | Mesa, AZ | 1.55x | 0.6 | 30% | – | |
| 49 | Boston, MA | 0.78x | 2.4 | 74% | – | |
| 50 | Houston, TX | 1.36x | 1.3 | 48% | – | |
| 51 | Oklahoma City, OK | 0.82x | 1.7 | 49% | – | |
| 52 | Durham, NC | 0.87x | 1.7 | 31% | – | |
| 53 | Scottsdale, AZ | 1.19x | 0.8 | 29% | – | |
| 54 | Anaheim, CA | 1.19x | 0.9 | 66% | – | |
| 55 | Austin, TX | 1.05x | 1.2 | 29% | – | |
| 56 | Boise, ID | 0.65x | 1.0 | 43% | – | |
| 57 | Norfolk, VA | 0.78x | 1.7 | 68% | – | |
| 58 | San Antonio, TX | 1.01x | 0.9 | 44% | – | |
| 59 | Tampa, FL | 1.69x | 1.2 | 46% | – | |
| 60 | Arlington, TX | 0.85x | 1.1 | 36% | – | |
| 61 | Miami, FL | 3.14x | 1.8 | 52% | – | |
| 62 | Tucson, AZ | 1.00x | 0.8 | 53% | – | |
| 63 | Irving, TX | 0.80x | 1.4 | 37% | – | |
| 64 | Lincoln, NE | 0.53x | 1.1 | 49% | – | |
| 65 | Gilbert, AZ | 1.13x | 0.9 | 4% | – | |
| 66 | Albuquerque, NM | 0.62x | 0.8 | 48% | – | |
| 67 | Riverside, CA | 0.94x | 1.0 | 56% | – | |
| 68 | Anchorage, AK | 0.44x | 2.4 | 45% | – | |
| 69 | New Orleans, LA | 0.93x | 2.1 | 75% | – | |
| 70 | Stockton, CA | 0.73x | 0.5 | 51% | – | |
| 71 | Los Angeles, CA | 1.00x | 0.4 | 71% | – | |
| 72 | Washington, DC | 0.58x | 1.7 | 70% | – | |
| 73 | Reno, NV | 0.55x | 1.4 | 38% | – | |
| 74 | Newark, NJ | 0.52x | 1.6 | 66% | – | |
| 75 | Madison, WI | 0.43x | 1.5 | 52% | – | |
| 76 | Irvine, CA | 0.97x | 1.0 | 21% | – | |
| 77 | Santa Ana, CA | 0.93x | 0.9 | 77% | – | |
| 78 | San Francisco, CA | 0.68x | 0.6 | 77% | – | |
| 79 | Bakersfield, CA | 0.64x | 0.5 | 35% | – | |
| 80 | Jersey City, NJ | 0.45x | 1.5 | 58% | – | |
| 81 | St. Petersburg, FL | 1.27x | 0.9 | 71% | – | |
| 82 | El Paso, TX | 0.57x | 0.8 | 45% | – | |
| 83 | Chandler, AZ | 0.81x | 1.0 | 10% | – | |
| 84 | Fresno, CA | 0.55x | 0.7 | 51% | – | |
| 85 | Henderson, NV | 0.56x | 0.6 | 7% | – | |
| 86 | Jacksonville, FL | 0.75x | 0.6 | 41% | – | |
| 87 | Corpus Christi, TX | 0.76x | 0.8 | 48% | – | |
| 88 | San Diego, CA | 0.67x | 0.3 | 54% | – | |
| 89 | Phoenix, AZ | 0.60x | 0.4 | 42% | – | |
| 90 | New York, NY | 0.35x | 1.1 | 80% | – | |
| 91 | Port St. Lucie, FL | 0.92x | 0.9 | 9% | – | |
| 92 | Glendale, AZ | 0.63x | 0.7 | 37% | – | |
| 93 | Oakland, CA | 0.44x | 0.5 | 78% | – | |
| 94 | North Las Vegas, NV | 0.40x | 0.7 | 13% | – | |
| 95 | Chula Vista, CA | 0.58x | 0.8 | 44% | – | |
| 96 | Honolulu, HI | – | 0.9 | 67% | – | |
| 97 | Long Beach, CA | 0.43x | 0.5 | 80% | – | |
| 98 | Cape Coral, FL | 0.73x | 0.7 | 16% | – | |
| 99 | Hialeah, FL | 0.99x | 0.7 | 60% | – | |
| 100 | Laredo, TX | 0.37x | 1.2 | 24% | – |
The ranking divides each city's searches by the households inside its city limits. That can overstate cities whose limits hold a small share of their metro, because Google counts searches from a wider area. So we also rank every city by searches per metro resident. A city is confirmed only if it ranks in the top 25 on both.
We pulled monthly Google Ads search volume for 30 heating, frozen-pipe and emergency plumbing terms in each of the 100 largest US cities, from October 2022 to September 2026. Each city's December–February total is divided by its households from the Census ACS 2023 5-year estimates.
Close variants that Google reports as one shared number are counted once. To stop one-off data spikes skewing the ranking, each month uses the median of that calendar month across four years.
"vs weather" compares each city's searches with what its normal winter cold predicts. We took NOAA's 1991–2020 heating degree days for each city's nearest long-running airport station and fitted one line through all 99 cities: searches per 1,000 households against heating degree days (both on a log scale). A city's figure is its actual searches divided by what that line predicts for its climate, so 2.00x means twice the expected level. Climate explains only 36% of the difference between cities, so treat this as a rough guide, not a precise measure.
What this measures: search demand, not breakdowns or insurance claims. Searches come from anyone in the city, owners and renters alike, and are divided by all households. "City" is the location as Google Ads defines it; households are city limits.
Cite: Home Stats Data, "Winter Home Emergency Index: 2026 edition," October 24, 2026, https://homestatsdata.com/plumbing/frozen-pipe-statistics/
Also see the Summer AC Emergency Index.