LocationLists: Coco5 Retailers 1,151 stores match (1,158 listings, 7 duplicates removed). 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=coco5-retailers&area_columns=county:population,median_household_income,median_age - Census demographics: https://locationlists.com/find?dataset=coco5-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=coco5-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=coco5-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=coco5-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=coco5-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=coco5-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 — 1,158 rows · $19 (card, no account needed): https://locationlists.com/data/coco5-retailers/buy?src=find Email me this quote (free, pay later): https://locationlists.com/find/quote?dataset=coco5-retailers Preview (3 fixed sample row(s) from these lists, the same for every question — not a sample of your 1,151 matches): - 202 W Church Street, Carlsbad, 88220, NM · 15758852161 [coco5-retailers] — matches your question - 3700 S Grange Ave, Sioux Falls, SD 57105 · +16059889140 [coco5-retailers] — matches your question - 10864 Belleville Rd, Belleville, 48111, MI [coco5-retailers] — matches your question Where the matches are, by ZIP code (counts only, no names or contact details; 896 ZIP codes): - 85282: 6 - 85741: 6 - 85122: 5 - 85204: 5 - 85205: 5 - 85710: 5 - 60462: 4 - 85008: 4 - 85009: 4 - 85032: 4 - and 886 more ZIP codes (see https://locationlists.com/find?dataset=coco5-retailers&format=json) Free map of these counts: https://locationlists.com/find/map?dataset=coco5-retailers Left out: - Coco5 Retailers: 1,158 match, but at 1,158 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=coco5-retailers&areas=county - Counts per ZIP code instead of rows: https://locationlists.com/find?dataset=coco5-retailers&areas=zip - Every Pantry, Sauces & Spices list in the same area: https://locationlists.com/find?category=pantry-sauces-and-spices - The nearest B. Fine Foods Retailers to each one, with miles: https://locationlists.com/find?dataset=coco5-retailers&relate=nearest&k=1&b.dataset=b-fine-foods-retailers Technical details (developers and AI agents): JSON: https://locationlists.com/find?dataset=coco5-retailers&format=json · Nothing is charged until checkout is paid.