LocationLists: 321 Coffee Retailers

534 stores match.

The file is the list as published. Add the essentials (county population, median household income and median age) or a group of area data to every row below.
Add more area data to every row (each link reloads this answer with those columns added, and the buy link then delivers them):
- Add the essentials: https://locationlists.com/find?dataset=321-coffee-retailers&area_columns=county:population,median_household_income,median_age
- Census demographics: https://locationlists.com/find?dataset=321-coffee-retailers&area_columns=county:population,households,median_household_income,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=321-coffee-retailers&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=321-coffee-retailers&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=321-coffee-retailers&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=321-coffee-retailers&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=321-coffee-retailers&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
This list is sold whole.
Buy the whole list — 534 rows · $19 (card, no account needed): https://locationlists.com/data/321-coffee-retailers/buy?src=find
Email me this quote (free, pay later): https://locationlists.com/find/quote?dataset=321-coffee-retailers

Preview (3 fixed sample row(s) from these lists, the same for every question — not a sample of your 534 matches):
- 5939 WEDDINGTON ROAD, Wesley Chapel, NC 28104 · 7048212034 [321-coffee-retailers] — matches your question
- 120 W. MEADOWVIEW ROAD, Greensboro, NC 27406 · +13363797253 [321-coffee-retailers] — matches your question
- 861 PINEY GREEN ROAD, Jacksonville, NC 28546 · +19109383775 [321-coffee-retailers] — matches your question

Where the matches are, by ZIP code (counts only, no names or contact details; 321 ZIP codes):
- 27603: 7
- 27610: 6
- 27615: 6
- 27529: 5
- 27705: 5
- 28625: 5
- 27215: 4
- 27406: 4
- 27513: 4
- 27514: 4
- and 311 more ZIP codes (see https://locationlists.com/find?dataset=321-coffee-retailers&format=json)
Free map of these counts: https://locationlists.com/find/map?dataset=321-coffee-retailers

Left out:
- 321 Coffee Retailers: 534 match, but at 534 records this dataset is sold only as the whole file ($19).

Other ways to ask this:
- Counts per county instead of rows: https://locationlists.com/find?dataset=321-coffee-retailers&areas=county
- Counts per ZIP code instead of rows: https://locationlists.com/find?dataset=321-coffee-retailers&areas=zip
- Every Coffee & Tea list in the same area: https://locationlists.com/find?category=coffee-and-tea
- The nearest Partners Coffee Retailers to each one, with miles: https://locationlists.com/find?dataset=321-coffee-retailers&relate=nearest&k=1&b.dataset=partners-coffee-retailers

Technical details (developers and AI agents): JSON: https://locationlists.com/find?dataset=321-coffee-retailers&format=json · Nothing is charged until checkout is paid.