National Business Survivability Scores 2026
City-level survivability scores for 146 business types, with rankings across 22 of the 24 metros (Dallas and San Antonio are held out of the comparison). Each score is the projected chance that a specific business type lasts two or more years, as a percentage, averaged across price points, from a model trained on 570,000+ real business outcomes.
CSV · 3,504 rows · 37 columns
License: CC BY 4.0 · Updated October 2026 · Version 2026.10.05
What one row means
Every published score is the projected chance that a business of that type lasts two or more years at that place, as a percentage. It is never the model's raw output. 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.
StreetSpring scores 500+ business types: 153 base business types, most of them at 5 price points, which is 569 type-and-price combinations you can choose in the tool.
New to the score? How the survivability score works explains what the percentage means, and the methodology sets out how to cite it.
Questions this dataset answers
One answer per business type, 146 in all, read straight from the file: the metros where each business is projected to last two or more years at a good address most often. Every metro links to its own dataset page, where the same question is answered neighborhood by neighborhood.
Which city is best for an acupuncture clinic?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an acupuncture clinic is projected to last two or more years at a good address most often in Houston (90%), Charlotte (89%), Phoenix (89%), Atlanta (89%) and Denver (89%), and least often in New York City (82%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = acupuncture-clinic and sort by city_rank_for_business_subtype.
Which city is best for an Afghan restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Afghan restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = afghan-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an African restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an African restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = african-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an American restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an American restaurant is projected to last two or more years at a good address most often in Atlanta (83%), Houston (83%), Charlotte (83%), Denver (83%) and Orlando (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = american-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an Argentinian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Argentinian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = argentinian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an Armenian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Armenian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = armenian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an Asian fusion restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Asian fusion restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = asian-fusion-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an Australian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Australian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = australian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an auto repair shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an auto repair shop is projected to last two or more years at a good address most often in Chicago (84%), Philadelphia (83%), Detroit (83%), Los Angeles (83%) and Miami (83%), and least often in Phoenix (78%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = auto-repair-shop and sort by city_rank_for_business_subtype.
Which city is best for a bagel shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a bagel shop is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (75%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = bagel-shop and sort by city_rank_for_business_subtype.
Which city is best for a bakery?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a bakery is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Houston (83%), Denver (83%) and Orlando (83%), and least often in New York City (75%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = bakery and sort by city_rank_for_business_subtype.
Which city is best for a Bangladeshi restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Bangladeshi restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = bangladeshi-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a bar?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a bar is projected to last two or more years at a good address most often in Chicago (84%), Philadelphia (84%), New York City (84%), Washington DC (83%) and Portland (83%), and least often in Phoenix (78%). The spread between the best and worst city at a good address is 6 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = bar and sort by city_rank_for_business_subtype.
Which city is best for a barbecue restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a barbecue restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = barbecue-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a barber shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a barber shop is projected to last two or more years at a good address most often in Denver (83%), Atlanta (83%), Charlotte (83%), Seattle (82%) and Orlando (82%), and least often in New York City (77%). The spread between the best and worst city at a good address is 6 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = barber-shop and sort by city_rank_for_business_subtype.
Which city is best for a beauty salon?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a beauty salon is projected to last two or more years at a good address most often in Denver (84%), Seattle (83%), Atlanta (83%), Charlotte (83%) and Miami (83%), and least often in New York City (79%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = beauty-salon and sort by city_rank_for_business_subtype.
Which city is best for a Belgian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Belgian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = belgian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a bike shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a bike shop is projected to last two or more years at a good address most often in Houston (84%), Charlotte (84%), Denver (84%), Phoenix (83%) and Atlanta (83%), and least often in New York City (80%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = bike-shop and sort by city_rank_for_business_subtype.
Which city is best for a boutique?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a boutique is projected to last two or more years at a good address most often in Houston (84%), Charlotte (84%), Phoenix (84%), Denver (84%) and Atlanta (83%), and least often in New York City (79%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = boutique and sort by city_rank_for_business_subtype.
Which city is best for a Brazilian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Brazilian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = brazilian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a brewery?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a brewery is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Denver (83%), Orlando (83%) and Houston (83%), and least often in New York City (75%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = brewery and sort by city_rank_for_business_subtype.
Which city is best for a British restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a British restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = british-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a brunch restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a brunch restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = brunch-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Burmese restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Burmese restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = burmese-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a cafe?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a cafe is projected to last two or more years at a good address most often in Chicago (84%), Philadelphia (84%), Washington DC (84%), Los Angeles (84%) and San Francisco (84%), and least often in St. Louis (80%). The spread between the best and worst city at a good address is 3 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = cafe and sort by city_rank_for_business_subtype.
Which city is best for a Cajun restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Cajun restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = cajun-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Cambodian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Cambodian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = cambodian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Cantonese restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Cantonese restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = cantonese-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Caribbean Latin restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Caribbean Latin restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = caribbean-latin-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Central American restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Central American restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = central-american-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a chicken shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a chicken shop is projected to last two or more years at a good address most often in Charlotte (84%), Atlanta (84%), Orlando (84%), Houston (84%) and Denver (84%), and least often in New York City (77%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = chicken-shop and sort by city_rank_for_business_subtype.
Which city is best for a Chinese restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Chinese restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = chinese-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a chiropractor office?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a chiropractor office is projected to last two or more years at a good address most often in Chicago (90%), Philadelphia (89%), Seattle (89%), Orlando (89%) and Los Angeles (89%), and least often in Baltimore (88%). The spread between the best and worst city at a good address is 2 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = chiropractor-office and sort by city_rank_for_business_subtype.
Which city is best for a clothing store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a clothing store is projected to last two or more years at a good address most often in Philadelphia (84%), Chicago (84%), Los Angeles (84%), Miami (84%) and New York City (84%), and least often in Seattle (81%). The spread between the best and worst city at a good address is 3 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = clothing-store and sort by city_rank_for_business_subtype.
Which city is best for a coffee shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a coffee shop is projected to last two or more years at a good address most often in Chicago (84%), San Francisco (84%), Washington DC (84%), Philadelphia (84%) and New York City (84%), and least often in San Diego (74%). The spread between the best and worst city at a good address is 9 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = coffee-shop and sort by city_rank_for_business_subtype.
Which city is best for a Colombian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Colombian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = colombian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a convenience store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a convenience store is projected to last two or more years at a good address most often in Chicago (84%), Philadelphia (84%), Seattle (84%), Washington DC (84%) and Miami (84%), and least often in Phoenix (81%). The spread between the best and worst city at a good address is 3 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = convenience-store and sort by city_rank_for_business_subtype.
Which city is best for a cosmetics shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a cosmetics shop is projected to last two or more years at a good address most often in Denver (84%), Atlanta (84%), Charlotte (84%), Seattle (83%) and Orlando (83%), and least often in New York City (78%). The spread between the best and worst city at a good address is 6 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = cosmetics-shop and sort by city_rank_for_business_subtype.
Which city is best for a Cuban restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Cuban restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = cuban-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Czech restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Czech restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = czech-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a dance club?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a dance club is projected to last two or more years at a good address most often in Charlotte (85%), Atlanta (85%), Denver (85%), Orlando (85%) and Houston (85%), and least often in New York City (77%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = dance-club and sort by city_rank_for_business_subtype.
Which city is best for a day care center?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a day care center is projected to last two or more years at a good address most often in Charlotte (85%), Denver (85%), Atlanta (85%), Orlando (85%) and Houston (85%), and least often in New York City (69%). The spread between the best and worst city at a good address is 16 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = day-care-center and sort by city_rank_for_business_subtype.
Which city is best for a deli?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a deli is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (77%). The spread between the best and worst city at a good address is 6 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = deli and sort by city_rank_for_business_subtype.
Which city is best for a dentist office?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a dentist office is projected to last two or more years at a good address most often in Houston (90%), Charlotte (89%), Phoenix (89%), Atlanta (89%) and Denver (89%), and least often in New York City (82%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = dentist-office and sort by city_rank_for_business_subtype.
Which city is best for a dermatology clinic?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a dermatology clinic is projected to last two or more years at a good address most often in Houston (90%), Charlotte (89%), Phoenix (89%), Atlanta (89%) and Denver (89%), and least often in New York City (82%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = dermatology-clinic and sort by city_rank_for_business_subtype.
Which city is best for a dessert shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a dessert shop is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Houston (83%), Denver (83%) and Orlando (82%), and least often in New York City (74%). The spread between the best and worst city at a good address is 9 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = dessert-shop and sort by city_rank_for_business_subtype.
Which city is best for a diner?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a diner is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = diner and sort by city_rank_for_business_subtype.
Which city is best for a discount store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a discount store is projected to last two or more years at a good address most often in Houston (84%), Charlotte (84%), Phoenix (84%), Atlanta (84%) and Denver (84%), and least often in Boston (79%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = discount-store and sort by city_rank_for_business_subtype.
Which city is best for an Eastern European restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Eastern European restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = eastern-european-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an electronics store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an electronics store is projected to last two or more years at a good address most often in Houston (84%), Charlotte (84%), Denver (84%), Phoenix (83%) and Atlanta (83%), and least often in New York City (80%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = electronics-store and sort by city_rank_for_business_subtype.
Which city is best for an Eritrean restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Eritrean restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = eritrean-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an Ethiopian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Ethiopian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = ethiopian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an European restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an European restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (77%). The spread between the best and worst city at a good address is 6 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = european-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an eye care center?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an eye care center is projected to last two or more years at a good address most often in Houston (90%), Charlotte (89%), Denver (89%), Phoenix (88%) and Atlanta (88%), and least often in New York City (85%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = eye-care-center and sort by city_rank_for_business_subtype.
Which city is best for a falafel restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a falafel restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = falafel-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a fast food restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a fast food restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (74%). The spread between the best and worst city at a good address is 9 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = fast-food-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Filipino restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Filipino restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = filipino-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a fish chips restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a fish chips restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = fish-chips-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a florist?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a florist is projected to last two or more years at a good address most often in Houston (84%), Charlotte (84%), Phoenix (84%), Atlanta (84%) and Denver (84%), and least often in New York City (80%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = florist and sort by city_rank_for_business_subtype.
Which city is best for a French restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a French restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Chicago (83%), Orlando (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = french-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a furniture store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a furniture store is projected to last two or more years at a good address most often in Houston (84%), Charlotte (84%), Phoenix (84%), Denver (84%) and Atlanta (83%), and least often in New York City (80%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = furniture-store and sort by city_rank_for_business_subtype.
Which city is best for a Georgian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Georgian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = georgian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a German restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a German restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = german-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Greek restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Greek restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = greek-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a grocery store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a grocery store is projected to last two or more years at a good address most often in Denver (84%), Charlotte (84%), Atlanta (84%), Houston (84%) and Orlando (83%), and least often in New York City (75%). The spread between the best and worst city at a good address is 10 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = grocery-store and sort by city_rank_for_business_subtype.
Which city is best for a gym?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a gym is projected to last two or more years at a good address most often in Denver (83%), Philadelphia (83%), San Francisco (83%), Miami (83%) and Los Angeles (83%), and least often in Chicago (72%). The spread between the best and worst city at a good address is 11 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = gym and sort by city_rank_for_business_subtype.
Which city is best for a hair salon?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a hair salon is projected to last two or more years at a good address most often in Chicago (84%), New York City (84%), Philadelphia (83%), Miami (83%) and Los Angeles (83%), and least often in Phoenix (79%). The spread between the best and worst city at a good address is 4 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = hair-salon and sort by city_rank_for_business_subtype.
Which city is best for a Hawaiian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Hawaiian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = hawaiian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a home goods store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a home goods store is projected to last two or more years at a good address most often in Charlotte (84%), Atlanta (84%), Denver (84%), Orlando (84%) and Houston (84%), and least often in New York City (70%). The spread between the best and worst city at a good address is 14 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = home-goods-store and sort by city_rank_for_business_subtype.
Which city is best for a home improvement store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a home improvement store is projected to last two or more years at a good address most often in Charlotte (84%), Atlanta (84%), Denver (84%), Orlando (84%) and Houston (84%), and least often in New York City (70%). The spread between the best and worst city at a good address is 14 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = home-improvement-store and sort by city_rank_for_business_subtype.
Which city is best for a hot dog stand?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a hot dog stand is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (75%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = hot-dog-stand and sort by city_rank_for_business_subtype.
Which city is best for a hot pot restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a hot pot restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = hot-pot-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Hungarian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Hungarian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = hungarian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an Indian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Indian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (77%). The spread between the best and worst city at a good address is 6 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = indian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an Indonesian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Indonesian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = indonesian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an international grocery store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an international grocery store is projected to last two or more years at a good address most often in Charlotte (84%), Atlanta (84%), Denver (84%), Houston (84%) and Orlando (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = international-grocery-store and sort by city_rank_for_business_subtype.
Which city is best for an Irish pub?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Irish pub is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = irish-pub and sort by city_rank_for_business_subtype.
Which city is best for an Italian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Italian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Denver (83%), Orlando (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = italian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Japanese sushi restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Japanese sushi restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Houston (83%), Orlando (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = japanese-sushi-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a jewelry store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a jewelry store is projected to last two or more years at a good address most often in Houston (84%), Charlotte (84%), Denver (84%), Phoenix (83%) and Atlanta (83%), and least often in New York City (80%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = jewelry-store and sort by city_rank_for_business_subtype.
Which city is best for a juice smoothie bar?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a juice smoothie bar is projected to last two or more years at a good address most often in Charlotte (84%), Atlanta (83%), Denver (83%), Houston (83%) and Orlando (83%), and least often in New York City (74%). The spread between the best and worst city at a good address is 9 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = juice-smoothie-bar and sort by city_rank_for_business_subtype.
Which city is best for a Korean restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Korean restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = korean-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a kosher restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a kosher restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = kosher-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a laundromat?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a laundromat is projected to last two or more years at a good address most often in Chicago (84%), Philadelphia (84%), Los Angeles (83%), Miami (83%) and Washington DC (83%), and least often in Tampa Bay (81%). The spread between the best and worst city at a good address is 3 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = laundromat and sort by city_rank_for_business_subtype.
Which city is best for a Lebanese restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Lebanese restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = lebanese-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a liquor store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a liquor store is projected to last two or more years at a good address most often in Houston (84%), Denver (84%), Charlotte (84%), Phoenix (84%) and Atlanta (84%), and least often in New York City (79%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = liquor-store and sort by city_rank_for_business_subtype.
Which city is best for a Malaysian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Malaysian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = malaysian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a massage therapy?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a massage therapy is projected to last two or more years at a good address most often in Houston (84%), Charlotte (83%), Phoenix (83%), Atlanta (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = massage-therapy and sort by city_rank_for_business_subtype.
Which city is best for a Mediterranean restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Mediterranean restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = mediterranean-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a men's clothing store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a men's clothing store is projected to last two or more years at a good address most often in Houston (84%), Chicago (84%), Charlotte (84%), Atlanta (84%) and Denver (84%), and least often in New York City (80%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = men-s-clothing-store and sort by city_rank_for_business_subtype.
Which city is best for a mental health clinic?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a mental health clinic is projected to last two or more years at a good address most often in Houston (90%), Charlotte (89%), Phoenix (89%), Atlanta (89%) and Denver (89%), and least often in New York City (82%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = mental-health-clinic and sort by city_rank_for_business_subtype.
Which city is best for a Mexican restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Mexican restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Houston (83%), Orlando (83%) and Denver (83%), and least often in New York City (77%). The spread between the best and worst city at a good address is 6 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = mexican-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Middle Eastern restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Middle Eastern restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = middle-eastern-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a mixed martial arts studio?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a mixed martial arts studio is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Denver (83%), Orlando (83%) and Houston (83%), and least often in New York City (72%). The spread between the best and worst city at a good address is 11 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = mixed-martial-arts-studio and sort by city_rank_for_business_subtype.
Which city is best for a modern European restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a modern European restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = modern-european-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Moroccan restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Moroccan restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = moroccan-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a music store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a music store is projected to last two or more years at a good address most often in Charlotte (84%), Denver (84%), Atlanta (84%), Orlando (84%) and Houston (84%), and least often in New York City (69%). The spread between the best and worst city at a good address is 15 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = music-store and sort by city_rank_for_business_subtype.
Which city is best for a nail salon?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a nail salon is projected to last two or more years at a good address most often in Denver (83%), Atlanta (83%), Charlotte (83%), Seattle (82%) and Minneapolis (82%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = nail-salon and sort by city_rank_for_business_subtype.
Which city is best for a Nicaraguan restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Nicaraguan restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = nicaraguan-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Pakistani restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Pakistani restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = pakistani-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a pan Asian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a pan Asian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = pan-asian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Persian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Persian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = persian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a pet boarding facility?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a pet boarding facility is projected to last two or more years at a good address most often in Denver (84%), Charlotte (84%), Atlanta (84%), Orlando (83%) and Seattle (83%), and least often in New York City (74%). The spread between the best and worst city at a good address is 10 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = pet-boarding-facility and sort by city_rank_for_business_subtype.
Which city is best for a pet grooming shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a pet grooming shop is projected to last two or more years at a good address most often in Denver (83%), Charlotte (83%), Atlanta (83%), Orlando (82%) and Seattle (82%), and least often in New York City (73%). The spread between the best and worst city at a good address is 10 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = pet-grooming-shop and sort by city_rank_for_business_subtype.
Which city is best for a pet store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a pet store is projected to last two or more years at a good address most often in Denver (84%), Charlotte (84%), Atlanta (84%), Orlando (83%) and Seattle (83%), and least often in New York City (75%). The spread between the best and worst city at a good address is 9 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = pet-store and sort by city_rank_for_business_subtype.
Which city is best for a physical therapy clinic?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a physical therapy clinic is projected to last two or more years at a good address most often in Houston (90%), Charlotte (89%), Phoenix (89%), Atlanta (89%) and Denver (89%), and least often in New York City (82%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = physical-therapy-clinic and sort by city_rank_for_business_subtype.
Which city is best for a pizza restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a pizza restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = pizza-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a poke restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a poke restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = poke-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Polish restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Polish restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = polish-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Polynesian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Polynesian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = polynesian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Portuguese restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Portuguese restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = portuguese-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Russian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Russian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = russian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a salad shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a salad shop is projected to last two or more years at a good address most often in Charlotte (84%), Atlanta (84%), Orlando (84%), Denver (84%) and Houston (84%), and least often in New York City (77%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = salad-shop and sort by city_rank_for_business_subtype.
Which city is best for a seafood restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a seafood restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Denver (83%), Houston (83%) and Seattle (83%), and least often in New York City (74%). The spread between the best and worst city at a good address is 9 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = seafood-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a shoe store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a shoe store is projected to last two or more years at a good address most often in Houston (84%), Charlotte (84%), Denver (84%), Phoenix (83%) and Atlanta (83%), and least often in New York City (80%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = shoe-store and sort by city_rank_for_business_subtype.
Which city is best for a Singaporean restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Singaporean restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = singaporean-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a smoke shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a smoke shop is projected to last two or more years at a good address most often in Charlotte (84%), Denver (84%), Atlanta (84%), Orlando (84%) and Houston (84%), and least often in New York City (76%). The spread between the best and worst city at a good address is 8 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = smoke-shop and sort by city_rank_for_business_subtype.
Which city is best for a South African restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a South African restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = south-african-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a South American restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a South American restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = south-american-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a South Asian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a South Asian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = south-asian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Southeast Asian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Southeast Asian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = southeast-asian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Southern food restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Southern food restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = southern-food-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a spa?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a spa is projected to last two or more years at a good address most often in Chicago (84%), Miami (84%), Denver (83%), Orlando (83%) and Philadelphia (83%), and least often in Phoenix (80%). The spread between the best and worst city at a good address is 4 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = spa and sort by city_rank_for_business_subtype.
Which city is best for a Spanish restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Spanish restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = spanish-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Sri Lankan restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Sri Lankan restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = sri-lankan-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a steakhouse?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a steakhouse is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = steakhouse and sort by city_rank_for_business_subtype.
Which city is best for a Syrian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Syrian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = syrian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a tailor?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a tailor is projected to last two or more years at a good address most often in Houston (84%), Charlotte (83%), Denver (83%), Phoenix (82%) and Atlanta (82%), and least often in New York City (79%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = tailor and sort by city_rank_for_business_subtype.
Which city is best for a Taiwanese restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Taiwanese restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = taiwanese-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a tanning salon?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a tanning salon is projected to last two or more years at a good address most often in Denver (83%), Atlanta (83%), Charlotte (83%), Seattle (82%) and Orlando (82%), and least often in New York City (77%). The spread between the best and worst city at a good address is 6 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = tanning-salon and sort by city_rank_for_business_subtype.
Which city is best for a tapas restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a tapas restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = tapas-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a tattoo piercing shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a tattoo piercing shop is projected to last two or more years at a good address most often in Denver (83%), Atlanta (83%), Charlotte (83%), Seattle (82%) and Orlando (82%), and least often in New York City (77%). The spread between the best and worst city at a good address is 6 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = tattoo-piercing-shop and sort by city_rank_for_business_subtype.
Which city is best for a tea shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a tea shop is projected to last two or more years at a good address most often in Charlotte (84%), Atlanta (84%), Denver (84%), Houston (84%) and Orlando (84%), and least often in New York City (75%). The spread between the best and worst city at a good address is 9 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = tea-shop and sort by city_rank_for_business_subtype.
Which city is best for a Tex Mex restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Tex Mex restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Houston (83%) and Denver (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = tex-mex-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a Thai restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Thai restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = thai-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a thrift store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a thrift store is projected to last two or more years at a good address most often in Houston (84%), Charlotte (84%), Atlanta (84%), Denver (84%) and Phoenix (83%), and least often in New York City (80%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = thrift-store and sort by city_rank_for_business_subtype.
Which city is best for a Turkish restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Turkish restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = turkish-restaurant and sort by city_rank_for_business_subtype.
Which city is best for an Ukrainian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), an Ukrainian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = ukrainian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a vegan vegetarian restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a vegan vegetarian restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = vegan-vegetarian-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a veterinary clinic?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a veterinary clinic is projected to last two or more years at a good address most often in Denver (89%), Chicago (89%), Charlotte (89%), Seattle (89%) and Atlanta (89%), and least often in Phoenix (86%). The spread between the best and worst city at a good address is 3 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = veterinary-clinic and sort by city_rank_for_business_subtype.
Which city is best for a Vietnamese restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a Vietnamese restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = vietnamese-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a vitamin supplement store?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a vitamin supplement store is projected to last two or more years at a good address most often in Houston (84%), Chicago (84%), Charlotte (84%), Atlanta (84%) and Denver (84%), and least often in Portland (80%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = vitamin-supplement-store and sort by city_rank_for_business_subtype.
Which city is best for a watch store or repair shop?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a watch store or repair shop is projected to last two or more years at a good address most often in Charlotte (84%), Denver (84%), Atlanta (84%), Orlando (84%) and Houston (84%), and least often in New York City (69%). The spread between the best and worst city at a good address is 15 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = watch-store-or-repair-shop and sort by city_rank_for_business_subtype.
Which city is best for a wok restaurant?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a wok restaurant is projected to last two or more years at a good address most often in Charlotte (83%), Atlanta (83%), Orlando (83%), Denver (83%) and Houston (83%), and least often in New York City (76%). The spread between the best and worst city at a good address is 7 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = wok-restaurant and sort by city_rank_for_business_subtype.
Which city is best for a women's clothing?
Among the 22 metros compared here (Dallas and San Antonio are held out of the comparison), a women's clothing is projected to last two or more years at a good address most often in Houston (84%), Charlotte (84%), Atlanta (84%), Denver (84%) and Phoenix (83%), and least often in Portland (80%). The spread between the best and worst city at a good address is 5 points; the spread between neighborhoods inside a city is usually far larger, so pick the block with the metro file. In the CSV, filter business_subtype = women-s-clothing and sort by city_rank_for_business_subtype.
How to read this dataset
The file has 37 columns and 3,504 rows. Lines that begin with # are comments (citation, license, these recipes) and should be skipped when parsing. The same dictionary is in the README beside the files; changes between versions are in the changelog.
Which city is best for a given business?
Filter business_subtype to the type, sort by city_rank_for_business_subtype ascending. The ranking is on p90_survivability_score_for_business_subtype_in_city, the chance of lasting two or more years at a good address; the avg column is the typical address.
How wide is the gap between the best and worst city?
For one business_subtype, subtract the lowest avg score among the ranked metros from the highest. In this file that gap runs from 8.0 to 19.7 points across the 146 business types, with a median of 12.4. Inside one metro, the gap between the best and worst ranked neighborhood for one business type has a median of 24.3 points, so use the metro file for the real decision.
Where inside the best city should I look?
Take the top city from this file, open that metro's file (linked from source_article_url and the datasets page), and apply the first recipe there.
Which metro is strongest overall?
Keep one row per city and sort by city_overall_rank ascending. city_overall_score is the mean good-address score across the business types every metro carries; city_overall_avg_score is the typical address.
Column dictionary
- city
- Metro slug (24 metros).
- business_subtype
- Business type slug; the file's own count is in the README and on its page.
- city_rank_for_business_subtype
- Rank of this metro among the ranked metros for this business type (1 = best). Empty for a held metro.
- tier_of_city_for_business_subtype
- Great, Good, Average, Below-average or Poor, from city_rank_for_business_subtype: the top 10 percent of ranked metros is Great, the next 20 percent Good, the middle 40 percent Average, the next 20 percent Below-average and the bottom 10 percent Poor.
- total_ranked_cities_for_business_subtype
- How many metros were ranked for this business type: the metros whose files carry it, less the held metros named in the file's '# Rankings withheld' line, which keep their scores and carry no rank.
- avg_survivability_score_for_business_subtype_in_city
- The projected chance, 0 to 100, that this business type lasts two or more years at a typical address in this metro. The ranking uses the good-address score, p90_survivability_score_for_business_subtype_in_city.
- max_survivability_score_for_business_subtype_in_city
- Best scored location in the metro for this business type, 0 to 100.
- min_survivability_score_for_business_subtype_in_city
- Weakest scored location in the metro for this business type, 0 to 100.
- UPPER_BOUND_MAX_SURVIVABILITY
- Upper confidence bound on the max score, 0 to 100.
- LOWER_BOUND_MAX_SURVIVABILITY
- Lower confidence bound on the max score, 0 to 100.
- UPPER_BOUND_MIN_SURVIVABILITY
- Upper confidence bound on the min score, 0 to 100.
- LOWER_BOUND_MIN_SURVIVABILITY
- Lower confidence bound on the min score, 0 to 100.
- year
- Data year (2026).
- source_url_city_rank
- Page on streetspring.com that ranks the metros for this business type.
- source_url_business_subtype_rank
- Page on streetspring.com that ranks neighborhoods nationally for this business type.
- methodology_url
- How the score is built: https://streetspring.com/resources/tutorial/aeo-methodology
- source_article_url
- The national rankings page for this business type.
- min_2yr_failure_rate
- 100 minus the max score: the lowest projected two-year failure rate in the metro, 0 to 100.
- max_2yr_failure_rate
- 100 minus the min score: the highest projected two-year failure rate in the metro, 0 to 100.
- data_source
- Provenance label for the row.
- p90_survivability_score_for_business_subtype_in_city
- The chance, 0 to 100, that this business type lasts two or more years at a good address in the metro (90th percentile of its scored locations). city_rank_for_business_subtype is ordered on this.
- scored_locations_in_city
- How many distinct scored locations the metro's figures are built from. A location is scored once per price point; it is counted once.
- city_overall_score
- The metro's overall score, 0 to 100: the mean p90_survivability_score_for_business_subtype_in_city (a good address) across the business types every metro carries. The basis of city_overall_rank; repeated on every row of the metro.
- city_overall_avg_score
- The mean avg_survivability_score_for_business_subtype_in_city (a typical address) across the same business types, 0 to 100.
- city_overall_rank
- The metro's rank among the ranked metros on city_overall_score (1 = best); ties break on city_overall_avg_score, then scored locations. Repeated on every row of the metro; empty for a held metro.
- total_ranked_cities_overall
- How many metros carry an overall rank.
- business_types_in_city_overall
- How many business types the overall score averages over: the types every metro carries with a good-address score, a typical-address score and a scored-location count.
- publisher
- Who publishes the dataset: StreetSpring. The same value in every row.
- publisher_url
- The publisher's site, https://streetspring.com. The same value in every row.
- dataset_name
- StreetSpring Survivability Datasets 2026. The same value in every row, so one row read on its own names its source.
- dataset_doi
- 10.5281/zenodo.22287996, the concept DOI, which always resolves to the newest version. Pin a version with dataset_version.
- license
- CC-BY-4.0: free to reuse, including commercially, with attribution to StreetSpring.
- license_url
- The license text, https://creativecommons.org/licenses/by/4.0/.
- dataset_version
- The release this row belongs to, the same value in every row and equal to the Version line of this header. Cite it to pin the numbers.
- as_of_date
- The date this release's scores were published, as YYYY-MM-DD. The same value in every row.
- source_url_business_type
- absolute and verified against the live site on 2026-10-02; filled on 63.7% of rows. Empty means the page was not proven to exist, never a guess.
- source_url
- empty in every row. held for this release: it resolves for only about a third of rows until the place pages are built. An empty column is honest; a third-filled one is not.
About this dataset
- Source
- StreetSpring
- Coverage
- United States (24 major metropolitan areas)
- Data year
- 2026 (the year column in every row)
- Version
- 2026.10.05, updated 2026-10-05
- Methodology
- View methodology
- License
- CC BY 4.0
- DOI (all versions)
- 10.5281/zenodo.22287996
- Questions about the data
- info@streetspring.com