BMIE Market 20889
Montgomery County, Maryland · ZCTA boundaries as of 2020
Profile
| Population (current estimate) | 584 2020–2024 ACS 5-year estimate ±106 · American Community Survey 5-Year Estimates · ACS 5-Year 2024 (2020-2024) ZCTA · B01003_001E · on 2020 boundaries · retrieved 2026-09-05 |
|---|---|
| Households | 21 2020–2024 ACS 5-year estimate ±17 · 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 | Data source not yet connected |
| Housing units | Data source not yet connected |
| Median household income | Data source not yet connected |
| Median age | 21.9 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 | Data source not yet connected |
| Land area | 0.4 sq mi Census Gazetteer 2020 |
| Restaurants | 4 2023 · U.S. Census Bureau, ZIP Code Business Patterns 2023 detail (NAICS2022) · by USPS ZIP 20889 |
| Restaurants per 10,000 residents | Not yet derived |
| Restaurant growth, 5-year | +100.0% DERIVED: 2011 → 2016, ZIP Code Business Patterns restaurants |
| Restaurant growth, 10-year | +300.0% DERIVED: 2013 → 2023, ZIP Code Business Patterns restaurants |
| Restaurant growth, 20-year | +100.0% DERIVED: 2003 → 2023, ZIP Code Business Patterns restaurants |
| Restaurant growth, Longest on file | +300.0% DERIVED: 1996 → 2023, ZIP Code Business Patterns restaurants |
| Projected restaurants, 2028 | 6 (range 4–7) FORECAST · linear trend v1 fitted to 2008–2023 (11 points, +0.2 per year, r² 0.82) · 80% range · confidence High · momentum, not a guarantee |
| Projected population, 5 years ahead | Needs more ACS years on file |
| BMIE Market Score | 48 / 100 MODELED · bmie_market_score v1 · confidence High · why? |
| Consumer Market Score | 17 / 100 MODELED · consumer_market_score v1 · confidence Medium · why? |
| Restaurant Opportunity Score | 51 / 100 MODELED · restaurant_opportunity_score v1 · confidence Medium · why? |
| Market Momentum Score | 94 / 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 20889. Projection: linear trend v1, fitted 2008–2023, +0.2 restaurants per year, r² 0.82, confidence High.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. Maryland and U.S. averages
Averages are the mean growth across all ZCTAs with the figure (state n = 367, 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: 48 (High confidence)
| Component | Value | Rank | Weight | Adds |
|---|---|---|---|---|
| Consumer Market Score | 17.4 | 17 | 40% | +6.9 |
| Restaurant Opportunity Score | 51.3 | 51 | 35% | +18.0 |
| Market Momentum Score | 94.2 | 94 | 25% | +23.6 |
Consumer Market Score: 17 (Medium confidence)
| Component | Value | Rank | Weight | Adds |
|---|---|---|---|---|
| Population (ACS) | 584 | 24 | 40% | +15.7 |
| Households (ACS) | 21 | 5 | 20% | +1.7 |
Restaurant Opportunity Score: 51 (Medium confidence)
| Component | Value | Rank | Weight | Adds |
|---|---|---|---|---|
| 10-year restaurant growth | 300 | 99 | 35% | +43.4 |
| Restaurants per 10,000 residents (lower = more room) | 68.5 | 7 | 25% | +2.1 |
| Population (ACS) | 584 | 24 | 20% | +5.9 |
Market Momentum Score: 94 (High confidence)
| Component | Value | Rank | Weight | Adds |
|---|---|---|---|---|
| 5-year restaurant growth | 100 | 96 | 50% | +48.0 |
| 10-year restaurant growth | 300 | 99 | 30% | +29.8 |
| 20-year restaurant growth | 100 | 82 | 20% | +16.5 |
A high score is a statistical position among all U.S. ZCTAs, not a prediction that a restaurant will succeed.
Restaurants on file (6)
By cuisine
Sandwiches 3 · Coffee 2 · Asian 1 · Chinese 1 · Juice / smoothies 1
By type
Quick service 4 · Restaurant (service type not stated) 3 · Specialty food shop 2 · Café 1 · Coffee shop 1 · Juice, smoothie, tea 1
| Name | Type | Cuisine | Address | Status |
|---|---|---|---|---|
| America's Taco Shop | Quick service | 8901 Wisconsin Ave, | open | |
| Café 8901 | Specialty food shop · Quick service | Sandwiches | 8901 Rockville Pike | open |
| Panda Express Panda Express México | Quick service · Restaurant (service type not stated) | Chinese · Asian | 8901 Wisconsin Ave | open |
| Panera Bread | Coffee shop | Coffee | 8901 Rockville Pike, Building P114 | open |
| Tropical Smoothie Cafe Tropical Smoothie Cafe | Juice, smoothie, tea · Restaurant (service type not stated) | Juice / smoothies · Sandwiches | 8901 Wisconsin Ave Bldg 82 | open |
| Walter Reed Main Street Café | Café · Restaurant (service type not stated) · Quick service · Specialty food shop | Coffee · Sandwiches | 8901 Rockville Pike | open |
Restaurant establishments over time
| Year | All food service | Restaurants | Full-service | Limited-service | Snack & beverage | Bars | Industry codes |
|---|---|---|---|---|---|---|---|
| 1996 | 1 | 1 | — | — | — | — | SIC1987 |
| 1997 | 3 | 3 | — | — | — | — | SIC1987 |
| 1998 | 3 | 3 | — | 2 | 1 | — | NAICS1997 |
| 1999 | 3 | 3 | — | 2 | 1 | — | NAICS1997 |
| 2000 | 3 | 3 | — | 2 | 1 | — | NAICS1997 |
| 2001 | 3 | 3 | — | 2 | 1 | — | NAICS1997 |
| 2002 | 2 | 2 | — | 1 | 1 | — | NAICS1997 |
| 2003 | 3 | 2 | — | 2 | — | — | NAICS2002 |
| 2004 | 3 | 2 | — | 2 | — | — | NAICS2002 |
| 2005 | 3 | 2 | — | 2 | — | — | NAICS2002 |
| 2006 | 3 | 2 | — | 2 | — | — | NAICS2002 |
| 2007 | 2 | 1 | — | 1 | — | — | NAICS2002 |
| 2008 | 2 | 1 | — | 1 | — | — | NAICS2007 |
| 2009 | 2 | 1 | — | 1 | — | — | NAICS2007 |
| 2010 | 2 | 1 | — | 1 | — | — | NAICS2007 |
| 2011 | 2 | 1 | — | 1 | — | — | NAICS2007 |
| 2012 | 3 | 1 | — | 1 | — | — | NAICS2012 |
| 2013 | 3 | 1 | — | 1 | — | — | NAICS2012 |
| 2014 | 3 | 1 | — | 1 | — | — | NAICS2012 |
| 2015 | 2 | 1 | — | 1 | — | — | NAICS2012 |
| 2016 | 3 | 2 | — | 2 | — | — | NAICS2012 |
| 2017 | 3 | — | — | — | — | — | NAICS2017 |
| 2018 | 3 | — | — | — | — | — | NAICS2017 |
| 2019 | 3 | — | — | — | — | — | NAICS2017 |
| 2020 | 3 | — | — | — | — | — | NAICS2017 |
| 2022 | 4 | 4 | — | 3 | — | — | NAICS2022 |
| 2023 | 4 | 4 | — | 3 | — | — | NAICS2022 |