LocationLists: Yoto Retailers

2,819 stores match (2,867 listings, 48 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=yoto-retailers&area_columns=county:population,median_household_income,median_age
- Census demographics: https://locationlists.com/find?dataset=yoto-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=yoto-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=yoto-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=yoto-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=yoto-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=yoto-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 — 2,867 rows · $29 (card, no account needed): https://locationlists.com/data/yoto-retailers/buy?src=find
Email me this quote (free, pay later): https://locationlists.com/find/quote?dataset=yoto-retailers

Preview (3 fixed sample row(s) from these lists, the same for every question — not a sample of your 2,819 matches):
- 2721 Dawson Rd, Albany, GA 31707 · +12298881333 [yoto-retailers] — matches your question
- 600 Amherst St, Nashua, NH 03063 · +16033240039 [yoto-retailers] — matches your question
- 6163 Oxon Hill Rd, Oxon Hill, MD 20745 · 3012812718 [yoto-retailers] — matches your question

Where the matches are, by ZIP code (counts only, no names or contact details; 2,095 ZIP codes):
- 02571: 3
- 02886: 3
- 06611: 3
- 15237: 3
- 32904: 3
- 60657: 3
- 90230: 3
- 92691: 3
- 99515: 3
- 99654: 3
- and 2,085 more ZIP codes (see https://locationlists.com/find?dataset=yoto-retailers&format=json)
Free map of these counts: https://locationlists.com/find/map?dataset=yoto-retailers

Left out:
- Yoto Retailers: 2,867 match, but at 2,867 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=yoto-retailers&areas=county
- Counts per ZIP code instead of rows: https://locationlists.com/find?dataset=yoto-retailers&areas=zip
- Every Baby & Kids list in the same area: https://locationlists.com/find?category=baby-and-kids
- The nearest Done by Deer Retailers to each one, with miles: https://locationlists.com/find?dataset=yoto-retailers&relate=nearest&k=1&b.dataset=done-by-deer-retailers

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