StreetSpring Data Report

State of the Storefront 2026

Which businesses are projected to last, and where. The projected chance of lasting two or more years for 146 business types across 22 U.S. metros, read from StreetSpring's published datasets (version 2026.10.05).

First, what a Survivability Score is

StreetSpring's Survivability Score is the projected chance that a specific business type lasts two or more years at a specific address. A score of 78% means the model projects a 78% chance that business is still open two years after opening at that exact location.

Every percentage in this report is that measure (never the model's raw output), read from StreetSpring's published datasets, where it is summarized by business type and metro in two ways: at a good address, the 90th percentile of the metro's scored locations and the basis of every ranking here, and at a typical address, the average. The same storefront can be a strong bet for one business type and a weak one for another.

22.6 vs 6.8
points at a good address: the median gap for one business type between the best and weakest ranked neighborhood inside one metro, against the median gap between its best and worst metro
49.0%‡ → 85.0%†
projected two-year survival at a good address for the same business type between the weakest and best ranked neighborhood in a single metro
22
U.S. metros compared, across 146 business types, from the published files (version 2026.10.05)

Dallas is held out of this page while its census inputs are repaired and the metro is rescored; no figure for it is shown until then. Its scores stay in the published files.

San Antonio is held out of this page because the neighborhoods StreetSpring can map there cover too little of the metro to compare fairly; no figure for it is shown until that improves. Its scores stay in the published files.

1. The address matters more than the city

Where you open inside a metro moves the projected odds far more than which metro you pick. For the median business type and metro, the best and weakest ranked neighborhood inside the metro are 22.6 points apart at a good address; the best and worst metro for the same business type are 6.8 points apart. The gap between neighborhoods is the wider of the two for 2,558 of the 2,838 business-type and metro pairings whose file ranks their neighborhoods. What you open matters too: inside one ranked neighborhood, the best and weakest ranked business type are a median 15.5 points apart at a good address (over the 1,907 ranked neighborhoods of the 22 metros on the cross-metro ranking).

3 business-type and metro pairings tie for the widest gap in the files, 36.0 points, each for the same business type between its weakest and best ranked neighborhood: Pet Boarding in New York City (49.0%‡ in Midtown and 4 others to 85.0%† in West Side, Jersey City), Pet Store in New York City (49.0%‡ in Midtown and 3 others to 85.0%† in Hackensack Riverfront) and Pet Groomers in New York City (48.0%‡ in Midtown and 3 others to 84.0%† in Hackensack Riverfront). In each, both neighborhoods sit at the lowest and highest figure the national file gives that business type in the metro, so the gap is the whole span the files give it there. Picking the address is most of the decision.

† the highest figure the national file gives that business type anywhere in that metro. Ranked neighborhoods can share it, and a gap that reaches it is measured up to that limit, not beyond it.

‡ the lowest figure the national file gives that business type anywhere in that metro, the same kind of limit at the bottom.

"and N others": other ranked neighborhoods share that figure for the business type; the one named is the metro file's own first- or last-ranked neighborhood.

2. The most & least survivable business types

The projected chance of lasting two or more years at a good address, each business type averaged across all 22 metros, with the typical address beside it. The 146 business types compared are the ones the national file scores in every metro compared with a good-address figure; that is every business type in the file.

#Most survivableAt a good addressTypical address
1Chiropractor88.7%76.7%
2Veterinarian88.1%76.2%
3Eye Care Center87.2%74.5%
4Dentist86.6%74.4%
5Acupuncture86.5%74.2%
6Physical Therapy86.4%74.2%
7Psychiatrists & Psychologists86.4%74.2%
8Dermatology86.4%74.1%
9Convenience Store83.5%71.0%
10Clothing Store83.4%70.0%
#Most at-riskAt a good addressTypical address
1Mixed Martial Arts79.8%66.9%
2Home Goods Store79.9%67.3%
3Home Improvement80.0%67.3%
4Watch Store / Repair80.1%67.4%
5Juices, Smoothies & Acai80.1%67.1%
6Dessert80.1%67.1%
7Seafood Restaurant / Store80.2%67.0%
8Music Store80.2%67.5%
9Brewery80.3%67.2%
10Bakery80.3%67.3%

3. Easiest & toughest metros for a new storefront

The 22 metros on the cross-metro ranking, ordered by the projected chance a new business lasts two or more years at a good address, averaged across the 146 business types the national file scores in every metro; the typical-address column averages the same types' average scores. This is the method of the full cross-metro ranking at streetspring.com/resources/rankings, which adds each metro's best and toughest neighborhood, with towns ranked in a separate list.

#MetroAt a good addressTypical address
1Charlotte83.5%73.7%
2Atlanta83.5%73.0%
3Denver83.3%72.1%
4Houston83.2%72.5%
5Orlando83.1%72.2%
6Seattle82.5%70.1%
7Minneapolis82.3%70.6%
8St. Louis82.2%69.7%
9Washington DC82.0%67.5%
10Baltimore81.3%67.8%
11Detroit81.1%68.6%
12Philadelphia81.0%67.7%
13Los Angeles81.0%65.6%
14Miami80.9%65.4%
15Phoenix80.8%67.4%
16Chicago80.8%65.5%
17San Diego80.8%67.3%
18San Francisco80.5%64.7%
19Portland80.1%64.8%
20Tampa Bay79.7%65.4%
21Boston79.2%64.4%
22New York City77.1%61.5%

The whole field spans 6.4 points at a good address, well under the median 22.6-point gap for one business type between neighborhoods inside one metro. The national file's own per-type city ranks show how close the metros sit: Charlotte comes first in the file's order for 102 of the 146 business types, but in 100 of those the next metro prints the same good-address figure, so the order there comes from the file's tie-break, not from a higher figure. New York City comes last for 131, 10 of them tied with the metro above it.

4. Biggest "same business, different neighborhood" gaps

Where the address matters most: the widest gap for a single business type between its weakest and best ranked neighborhood inside one metro, at a good address (each metro file's neighborhood_rank_for_business_subtype, last against first). No business type appears more than twice.

#Business typeMetroWeakest ranked neighborhoodBest ranked neighborhoodGap
1Pet BoardingNew York CityMidtown and 4 others 49.0%‡West Side, Jersey City 85.0%†36.0 pts
2Pet StoreNew York CityMidtown and 3 others 49.0%‡Hackensack Riverfront 85.0%†36.0 pts
3Pet GroomersNew York CityMidtown and 3 others 48.0%‡Hackensack Riverfront 84.0%†36.0 pts
4BarSan FranciscoFinancial District/South Beach 48.3%Piedmont Avenue and 7 others 84.0%†35.7 pts
5Day Care CenterNew York CityChinatown and 14 others 50.0%‡Hackensack Riverfront 85.6%35.6 pts
6Home Goods StoreNew York CityChinatown and 12 others 49.0%‡West Side, Jersey City and 1 other 84.6%35.6 pts
7Home ImprovementNew York CityChinatown and 12 others 49.0%‡West Side, Jersey City and 1 other 84.6%35.6 pts
8Music StoreNew York CityLittle Italy and 13 others 49.0%‡Hackensack Riverfront 84.6%35.6 pts
9Watch Store / RepairNew York CityLittle Italy and 13 others 49.0%‡Hackensack Riverfront 84.6%35.6 pts
10International Grocery StoreMiamiLeslie Estates 49.8%Flagler Heights 85.0%†35.2 pts

5. Same business, best vs. worst metro

The biggest gaps between the best and worst metro for the same business type at a good address, read from the national file's city ranks (rank 1 against the last-ranked metro). Even the widest, 15.8 points, is well under the median 22.6-point gap between neighborhoods inside a single metro: the wrong metro puts you behind, the wrong address puts you much further behind.

#Business typeBest metroWorst metroGap
1Day Care CenterCharlotte and 2 others 85.1%New York City 69.3%15.8 pts
2Music StoreCharlotte 84.5%New York City 69.2%15.3 pts
3Watch Store / RepairCharlotte and 2 others 84.1%New York City 69.2%14.9 pts
4Home Goods StoreCharlotte and 2 others 84.1%New York City 69.7%14.4 pts
5Home ImprovementCharlotte and 2 others 84.1%New York City 70.2%13.9 pts
6GymDenver and 5 others 83.1%Chicago 72.3%10.8 pts
7Mixed Martial ArtsCharlotte and 3 others 83.1%New York City 72.3%10.8 pts
8Pet BoardingDenver 84.1%New York City 74.2%9.9 pts
9Pet GroomersDenver 83.1%New York City 73.2%9.9 pts

"and N others": other metros print the same good-address figure for that business type; the one named is the national file's own first- or last-ranked metro, and the gap is the same for each of them.

6. Get the full data

The national file (every business type in every metro) and the 24 metro files (every business type in every neighborhood and town) are free to download under CC BY 4.0 from the datasets page.

Download the national rankings (CSV)

Score any address in 60 seconds →

Methodology. Every figure on this page is read from StreetSpring's published survivability datasets, version 2026.10.05 (updated 2026-10-05), and can be reproduced from the national CSV. A model trained on 570,000+ historical business outcomes and 100+ location factors scores individual locations; the national file summarizes those scores by business type and metro. "At a good address" is its p90 column (p90_survivability_score_for_business_subtype_in_city), the 90th percentile of the metro's scored locations, and every ranking here is ordered on it; "typical address" is its average column. National and metro-wide figures average the 146 business types the file scores in all 22 metros with both a good-address and a typical figure; ties at one decimal are ordered on the unrounded figures, then on the typical address. The national file's own note: "This ranking carries one row per business type and metro. Its score is the projected chance of lasting two or more years, averaged across the price points StreetSpring scores separately in the tool (most types have 5). The 146 business types here are base types; the tool offers 500+ business types, counting each type at each of its price points." These are projections from location factors, not a count of closures. Figures are aggregated to the metro and business-type level; no individual business is identified. Column dictionary and recipes, full methodology. For press inquiries or custom cuts, contact info@streetspring.com.