LocationLists: Schleich Retailers 11,198 stores match (11,555 listings, 357 duplicates removed). Price for 11,198 stores: $49 by card. One spreadsheet. That is every match. Add total= to buy fewer. 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=schleich-retailers&area_columns=county:population,median_household_income,median_age - Census demographics: https://locationlists.com/find?dataset=schleich-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=schleich-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=schleich-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=schleich-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=schleich-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=schleich-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 Buy the whole list — 11,555 rows · $49 (card, no account needed): https://locationlists.com/data/schleich-retailers/buy?src=find Email me this quote (free, pay later): https://locationlists.com/find/quote?dataset=schleich-retailers Preview (3 fixed sample row(s) from these lists, the same for every question — not a sample of your 11,198 matches): - 10 Swadford Street, Skipton, North Yorkshire · +44 (0) 1756 794310 [schleich-retailers] — matches your question - 1/2 St James Terrace, Kilmalcolm, Inverclyde · +44 (0) 1505 872662 [schleich-retailers] — matches your question - Postfach 1360, Offenburg, 77603 [schleich-retailers] — matches your question Where the matches are, by ZIP code (counts only, no names or contact details; 1,635 ZIP codes): - 01220: 18 - 06020: 12 - 01030: 9 - 04020: 9 - 21244: 9 - 24558: 9 - 63110: 9 - 04109: 8 - 38855: 8 - 59463: 8 - and 1,625 more ZIP codes (see https://locationlists.com/find?dataset=schleich-retailers&format=json) Free map of these counts: https://locationlists.com/find/map?dataset=schleich-retailers Other ways to ask this: - Counts per county instead of rows: https://locationlists.com/find?dataset=schleich-retailers&areas=county - Counts per ZIP code instead of rows: https://locationlists.com/find?dataset=schleich-retailers&areas=zip - Every Toys, Gifts & Novelty list in the same area: https://locationlists.com/find?category=toys-gifts-and-novelty - The nearest Rite In The Rain Retailers to each one, with miles: https://locationlists.com/find?dataset=schleich-retailers&relate=nearest&k=1&b.dataset=rite-in-the-rain-retailers Technical details (developers and AI agents): JSON: https://locationlists.com/find?dataset=schleich-retailers&format=json · Nothing is charged until checkout is paid.