I read this as: Starbucks Locations in counties with median household income over $100,000.
The same question as a structured link: https://locationlists.com/find?dataset=starbucks-stores&area_where=county:median_household_income%3E100000

LocationLists: Starbucks Locations, in counties with median household income over 100,000

4,153 stores match.
Only rows in counties with median household income over $100,000. Each row carries county_fips, county_name, county_median_household_income, county_population, county_median_age. Source: U.S. Census Bureau, ACS 2020–2024 5-year estimates; U.S. Census Bureau, ACS 2020–2024 5-year estimates (tables B01001, B11005, B25003, B08303, B23025). Census figures describe the area a place is in (its county, ZIP code, metro area or state), not the place itself. They add nothing to the price.

Price for 4,153 stores: $39.19 by card. One spreadsheet.
That is every match. Add total=<rows> to buy fewer.
Names each row's county (FIPS code and name) and includes county median household income, population and median age for every row.
Add more area data to every row (each link reloads this answer with those columns added, and the buy link then delivers them):
- Census demographics: https://locationlists.com/find?dataset=starbucks-stores&area_where=county:median_household_income%3E100000&area_columns=county:population,households,median_age,pct_65_plus,pct_bachelors_plus,housing_units,owner_occupied_share,median_home_value,population_estimate,population_growth_since_2020,pct_under_18,pct_5_to_14,pct_households_with_people_under_18
- Business activity by industry: https://locationlists.com/find?dataset=starbucks-stores&area_where=county:median_household_income%3E100000&area_columns=county:establishments,employees,agriculture_establishments,mining_establishments,utilities_establishments,construction_establishments,manufacturing_establishments,wholesale_trade_establishments,retail_trade_establishments,transportation_establishments,information_establishments,finance_establishments,real_estate_establishments,professional_establishments,management_establishments,administrative_establishments,educational_services_establishments,health_care_establishments,arts_establishments,accommodation_establishments,other_services_establishments
- Weather normals: https://locationlists.com/find?dataset=starbucks-stores&area_where=county:median_household_income%3E100000&area_columns=county:january_high,july_high,annual_high,january_low,july_low,annual_low,annual_precipitation,annual_cooling_degree_days,annual_heating_degree_days,hottest_month_high,coldest_month_low,annual_snowfall,annual_days_of_highs_reaching_90_f,annual_days_of_highs_reaching_100_f,growing_season_length_20f_50pct
- Storms: https://locationlists.com/find?dataset=starbucks-stores&area_where=county:median_household_income%3E100000&area_columns=county:flash_flood_events,flood_events,hail_events,high_wind_events,hurricane_events,lightning_events,thunderstorm_wind_events,tornado_events,wildfire_events,winter_storm_events,strong_tornadoes,storm_injuries,storm_deaths,storm_property_damage,storm_crop_damage
- Drought: https://locationlists.com/find?dataset=starbucks-stores&area_where=county:median_household_income%3E100000&area_columns=county:palmer_drought_severity_index,palmer_hydrological_drought_index,modified_palmer_drought_index,palmer_z_index,palmer_drought_severity_index_2025,palmer_hydrological_drought_index_2025,modified_palmer_drought_index_2025,palmer_z_index_2025
- Building stock: https://locationlists.com/find?dataset=starbucks-stores&area_where=county:median_household_income%3E100000&area_columns=county:buildings,multi_story_buildings,mid_rise_buildings,high_rise_buildings,buildings_4_floors_plus,buildings_8_floors_plus,share_with_floors_published,share_with_height_published,building_footprint_area,estimated_floor_area,average_building_height,tallest_building_height
Buy the matching rows — 4,153 rows · $39.19 (card, no account needed): https://locationlists.com/find/buy?dataset=starbucks-stores&area_where=county:median_household_income%3E100000
Buy the whole list — 15,185 rows · $69 (card, no account needed): https://locationlists.com/data/starbucks-stores/buy?src=find&area_where=county:median_household_income%3E100000
Email me this quote (free, pay later): https://locationlists.com/find/quote?dataset=starbucks-stores&area_where=county:median_household_income%3E100000

Preview (3 fixed sample row(s) from these lists, the same for every question — not a sample of your 4,153 matches):
- Starbucks · 3622 N Cobb Pkwy NW, Acworth, GA 30101-4018 · +17709669262 [starbucks-stores] — matches your question
- Starbucks · 1109 RT-34, Aberdeen Twp, NJ 07747-2166 · +17323958381 [starbucks-stores] — matches your question
- Starbucks · 35 Mt Auburn Ave, Auburn, ME 04210-8521 · +12077820674 [starbucks-stores] — does not match your question

Where the matches are, by ZIP code (counts only, no names or contact details; 1,730 ZIP codes):
- 92101: 16
- 10001: 12
- 75024: 10
- 92660: 10
- 93003: 10
- 98101: 10
- 77494: 9
- 92626: 9
- 94551: 9
- 97223: 9
- and 1,720 more ZIP codes (see https://locationlists.com/find?dataset=starbucks-stores&area_where=county:median_household_income%3E100000&format=json)
Free map of these counts: https://locationlists.com/find/map?dataset=starbucks-stores&area_where=county:median_household_income%3E100000

Other ways to ask this:
- Counts per county instead of rows: https://locationlists.com/find?dataset=starbucks-stores&area_where=county:median_household_income%3E100000&areas=county
- Every Quick Service & Fast Casual list in the same area: https://locationlists.com/find?category=quick-service-restaurant&area_where=county:median_household_income%3E100000

Technical details (developers and AI agents): JSON: https://locationlists.com/find?dataset=starbucks-stores&area_where=county:median_household_income%3E100000&format=json · Nothing is charged until checkout is paid.