BMIE Market 14752
Chautauqua County, New York · ZCTA boundaries as of 2020
Profile
| Population (current estimate) | 62 2020–2024 ACS 5-year estimate ±41 · American Community Survey 5-Year Estimates · ACS 5-Year 2024 (2020-2024) ZCTA · B01003_001E · on 2020 boundaries · retrieved 2026-09-05 |
|---|---|
| Households | 53 2020–2024 ACS 5-year estimate ±34 · American Community Survey 5-Year Estimates · ACS 5-Year 2024 (2020-2024) ZCTA · B11001_001E · on 2020 boundaries · retrieved 2026-09-05 |
| Population, 2010 Census count | 169 2010 Census count · Decennial Census · Census Gazetteer ZCTA 2010 · POP10 · on 2010 boundaries · retrieved 2026-09-04 |
| Housing units | 173 2010 Census count · Decennial Census · Census Gazetteer ZCTA 2010 · HU10 · on 2010 boundaries · retrieved 2026-09-04 |
| Median household income | Data source not yet connected |
| Median age | 70.1 2020–2024 ACS 5-year estimate ±3 · American Community Survey 5-Year Estimates · ACS 5-Year 2024 (2020-2024) ZCTA · B01002_001E · on 2020 boundaries · retrieved 2026-09-05 |
| Median gross rent | Data source not yet connected |
| Median home value | $116,100 2020–2024 ACS 5-year estimate ±82,389 · American Community Survey 5-Year Estimates · ACS 5-Year 2024 (2020-2024) ZCTA · B25077_001E · on 2020 boundaries · retrieved 2026-09-05 |
| Land area | 0.2 sq mi Census Gazetteer 2020 |
| Restaurants | 3 2023 · U.S. Census Bureau, ZIP Code Business Patterns 2023 detail (NAICS2022) · by USPS ZIP 14752 |
| Restaurants per 10,000 residents | 177.5 DERIVED: 2010 restaurants (ZIP) ÷ 2010 Census population (ZCTA) · different years, stated as such |
| Restaurant growth, 5-year | +0.0% DERIVED: 2018 → 2023, ZIP Code Business Patterns restaurants |
| Restaurant growth, 10-year | +0.0% DERIVED: 2013 → 2023, ZIP Code Business Patterns restaurants |
| Restaurant growth, 20-year | +200.0% DERIVED: 2003 → 2023, ZIP Code Business Patterns restaurants |
| Restaurant growth, Longest on file | +200.0% DERIVED: 1996 → 2023, ZIP Code Business Patterns restaurants |
| Projected restaurants, 2028 | 2 (range 0–4) FORECAST · linear trend v1 fitted to 2009–2023 (11 points, +0.0 per year, r² 0.08) · 80% range · confidence Low · momentum, not a guarantee |
| Projected population, 5 years ahead | Needs more ACS years on file |
| BMIE Market Score | 36 / 100 MODELED · bmie_market_score v1 · confidence High · why? |
| Consumer Market Score | 34 / 100 MODELED · consumer_market_score v1 · confidence High · why? |
| Restaurant Opportunity Score | 29 / 100 MODELED · restaurant_opportunity_score v1 · confidence High · why? |
| Market Momentum Score | 50 / 100 MODELED · market_momentum_score v1 · confidence High · why? |
Map
Boundary: U.S. Census Bureau cartographic file, 1:500k, 2020 vintage. Basemap © OpenStreetMap contributors.Trends
Historical lines are published counts. Dashed lines are derived: a least-squares trend through the last decade, extended as a FORECAST with its 80% range. Momentum, not a guarantee.
Restaurants by year, with trend and projection
ZIP Code Business Patterns, USPS ZIP 14752. Projection: linear trend v1, fitted 2009–2023, +0.0 restaurants per year, r² 0.08, confidence Low.Growth index (first year on file = 100)
Each category relative to its own first published count. Full/limited split is unavailable under SIC (before 1998).Mix of the food-service market
Share of all food-service establishments. "Other" = snack bars, caterers, contractors, mobile.Population and restaurants per 10,000 residents
Population points: 2010 Census count and ACS 5-year estimates on file (more vintages load over time). Density uses the population point within two years of each restaurant count. Population projection appears once three or more ACS years are loaded.Restaurant growth vs. New York and U.S. averages
Averages are the mean growth across all ZCTAs with the figure (state n = 1,510, U.S. n = 24,852). DERIVED from ZIP Code Business Patterns.Why these scores?
Each score is a weighted average of national percentile ranks (0 = lowest of all ZCTAs with that figure, 100 = highest). Weights are set in the model registry, not in code, and every score carries its model version.
BMIE Market Score: 36 (High confidence)
| Component | Value | Rank | Weight | Adds |
|---|---|---|---|---|
| Consumer Market Score | 33.9 | 34 | 40% | +13.6 |
| Restaurant Opportunity Score | 28.5 | 29 | 35% | +10.0 |
| Market Momentum Score | 49.9 | 50 | 25% | +12.5 |
Consumer Market Score: 34 (High confidence)
| Component | Value | Rank | Weight | Adds |
|---|---|---|---|---|
| Population (ACS) | 62 | 5 | 40% | +1.9 |
| Median household income (ACS) | 92,656 | 76 | 40% | +30.3 |
| Households (ACS) | 53 | 9 | 20% | +1.8 |
Restaurant Opportunity Score: 29 (High confidence)
| Component | Value | Rank | Weight | Adds |
|---|---|---|---|---|
| 10-year restaurant growth | 0 | 35 | 35% | +12.3 |
| Restaurants per 10,000 residents (lower = more room) | 483.9 | 1 | 25% | +0.2 |
| Population (ACS) | 62 | 5 | 20% | +1.0 |
| Median household income (ACS) | 92,656 | 76 | 20% | +15.1 |
Market Momentum Score: 50 (High confidence)
| Component | Value | Rank | Weight | Adds |
|---|---|---|---|---|
| 5-year restaurant growth | 0 | 42 | 50% | +20.9 |
| 10-year restaurant growth | 0 | 35 | 30% | +10.5 |
| 20-year restaurant growth | 200 | 93 | 20% | +18.6 |
A high score is a statistical position among all U.S. ZCTAs, not a prediction that a restaurant will succeed.
Restaurants on file (3)
By cuisine
Coffee 3 · American 2 · Breakfast 1
By type
Café 3 · Restaurant (service type not stated) 2 · Coffee shop 1
| Name | Type | Cuisine | Address | Status |
|---|---|---|---|---|
| Sacred Grounds Coffee House | Coffee shop · Restaurant (service type not stated) · Café | Coffee | 6 Cleveland Ave | open |
| The Lily Cafe & Restaurant | Restaurant (service type not stated) · Café | American · Coffee | open | |
| The Sunflower | Café | American · Coffee · Breakfast | open |
Restaurant establishments over time
| Year | All food service | Restaurants | Full-service | Limited-service | Snack & beverage | Bars | Industry codes |
|---|---|---|---|---|---|---|---|
| 1996 | 1 | 1 | — | — | — | — | SIC1987 |
| 1997 | 1 | 1 | — | — | — | — | SIC1987 |
| 1998 | 1 | 1 | — | — | 1 | — | NAICS1997 |
| 1999 | 1 | 1 | — | — | 1 | — | NAICS1997 |
| 2000 | 2 | 2 | — | 1 | 1 | — | NAICS1997 |
| 2001 | 1 | 1 | — | 1 | — | — | NAICS1997 |
| 2002 | 1 | 1 | 1 | — | — | — | NAICS1997 |
| 2003 | 1 | 1 | 1 | — | — | — | NAICS2002 |
| 2004 | 1 | 1 | 1 | — | — | — | NAICS2002 |
| 2005 | 2 | 2 | 1 | — | — | — | NAICS2002 |
| 2006 | 1 | 1 | — | 1 | — | — | NAICS2002 |
| 2007 | 1 | 1 | — | 1 | — | — | NAICS2002 |
| 2008 | 3 | 3 | 1 | 1 | 1 | — | NAICS2007 |
| 2009 | 3 | 3 | 1 | 1 | 1 | — | NAICS2007 |
| 2010 | 3 | 3 | 1 | 1 | 1 | — | NAICS2007 |
| 2011 | 2 | 2 | 1 | — | 1 | — | NAICS2007 |
| 2012 | 3 | 3 | — | 2 | 1 | — | NAICS2012 |
| 2013 | 3 | 3 | — | 2 | 1 | — | NAICS2012 |
| 2014 | 3 | 3 | — | 2 | 1 | — | NAICS2012 |
| 2015 | 3 | 3 | — | 2 | 1 | — | NAICS2012 |
| 2016 | 3 | 3 | — | 2 | 1 | — | NAICS2012 |
| 2017 | 3 | 3 | — | — | — | — | NAICS2017 |
| 2018 | 3 | 3 | — | — | — | — | NAICS2017 |
| 2023 | 3 | 3 | — | — | — | — | NAICS2022 |