LocationLists: Blume Retailers 3,637 stores match (3,651 listings, 14 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=blume-retailers&area_columns=county:population,median_household_income,median_age - Census demographics: https://locationlists.com/find?dataset=blume-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=blume-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=blume-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=blume-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=blume-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=blume-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 - Housing market and new construction: https://locationlists.com/find?dataset=blume-retailers&area_columns=county:typical_home_value,home_value_change_1_year,typical_rent,rent_change_1_year,price_to_rent_ratio,housing_units_permitted_last_12_months,single_family_units_permitted_last_12_months,housing_units_permitted_per_1000_homes - Household income from tax returns: https://locationlists.com/find?dataset=blume-retailers&area_columns=county:tax_returns,average_adjusted_gross_income,average_wages,share_income_up_to_25k,share_income_200k_plus,share_income_100k_plus,share_with_business_income,share_with_capital_gains,share_elderly_returns,share_with_earned_income_credit,effective_federal_tax_rate - Hazard risk: https://locationlists.com/find?dataset=blume-retailers&area_columns=county:national_risk_index_score,national_risk_index_rating_level,expected_annual_loss,expected_annual_loss_to_buildings,social_vulnerability_score,community_resilience_score,avalanche_expected_annual_loss,coastal_flooding_expected_annual_loss,cold_wave_expected_annual_loss,drought_expected_annual_loss,earthquake_expected_annual_loss,hail_expected_annual_loss,heat_wave_expected_annual_loss,hurricane_expected_annual_loss,ice_storm_expected_annual_loss,landslide_expected_annual_loss,lightning_expected_annual_loss,inland_flooding_expected_annual_loss,strong_wind_expected_annual_loss,tornado_expected_annual_loss,tsunami_expected_annual_loss,volcanic_activity_expected_annual_loss,wildfire_expected_annual_loss,winter_weather_expected_annual_loss - Agriculture: https://locationlists.com/find?dataset=blume-retailers&area_columns=county:livestock_sales,cattle_inventory,crop_sales,average_producer_age,producers,farm_production_expenses,hired_farm_workers,cropland_acres,harvested_cropland_acres,land_and_buildings_value,land_and_buildings_value_per_acre,irrigated_acres,pastureland_acres,land_in_farms,average_farm_size,share_of_land_in_farms,farms,machinery_value,average_machinery_value_per_farm,tractors,market_value_of_products_sold,average_sales_per_farm,net_cash_farm_income This list is sold whole. Buy the whole list — 3,651 rows · $29 (card, no account needed): https://locationlists.com/data/blume-retailers/buy?src=find Email me this quote (free, pay later): https://locationlists.com/find/quote?dataset=blume-retailers Preview (3 fixed sample row(s) from these lists, the same for every question — not a sample of your 3,637 matches): - 2015 E Highway 54, Peachtree City, GA 30269 · +16785862577 [blume-retailers] — matches your question - 7101 Democracy Blvd, #1310 Montgomery Mall, Bethesda, MD 20817 · +13017671626 [blume-retailers] — matches your question - 225 Amherst St, Nashua, NH · +16033187550 [blume-retailers] — matches your question Where the matches are, by county (counts only, no names or contact details; 289 counties): - Los Angeles County, CA: 41 - King County, WA: 39 - Cook County, IL: 34 - Sacramento County, CA: 33 - Santa Clara County, CA: 28 - Maricopa County, AZ: 26 - San Diego County, CA: 25 - Orange County, CA: 23 - Hennepin County, MN: 20 - Middlesex County, MA: 18 - and 279 more counties (see https://locationlists.com/find?dataset=blume-retailers&format=json) Free map of these counts: https://locationlists.com/find/map?dataset=blume-retailers The same counts by ZIP code: https://locationlists.com/find?areas=zip&dataset=blume-retailers Left out: - Blume Retailers: 3,651 match, but at 3,651 records this dataset is sold only as the whole file ($29). Other ways to ask this: - Counts per county instead of rows: https://locationlists.com/find?dataset=blume-retailers&areas=county - Counts per ZIP code instead of rows: https://locationlists.com/find?dataset=blume-retailers&areas=zip - Every Coffee & Tea list in the same area: https://locationlists.com/find?category=coffee-and-tea - The nearest Copper Cow Coffee Retailers to each one, with miles: https://locationlists.com/find?dataset=blume-retailers&relate=nearest&k=1&b.dataset=copper-cow-coffee-retailers Technical details (developers and AI agents): JSON: https://locationlists.com/find?dataset=blume-retailers&format=json · Nothing is charged until checkout is paid.