LocationLists: FLOWER Beauty Retailers

4,010 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=flower-beauty-retailers&area_columns=county:population,median_household_income,median_age
- Census demographics: https://locationlists.com/find?dataset=flower-beauty-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=flower-beauty-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=flower-beauty-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=flower-beauty-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=flower-beauty-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=flower-beauty-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=flower-beauty-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=flower-beauty-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=flower-beauty-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=flower-beauty-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 — 4,010 rows · $29 (card, no account needed): https://locationlists.com/data/flower-beauty-retailers/buy?src=find
Email me this quote (free, pay later): https://locationlists.com/find/quote?dataset=flower-beauty-retailers

Preview (3 fixed sample row(s) from these lists, the same for every question — not a sample of your 4,010 matches):
- 446 SABATTUS ST., Lewiston, ME 04240 · +12077833784 [flower-beauty-retailers] — matches your question
- 1 WALL ST., Windham, NH 03087 · +16034256189 [flower-beauty-retailers] — matches your question
- 93 EUCLID AVENUE, Mountain Brook, AL 35213 · +12058712151 [flower-beauty-retailers] — matches your question

Where the matches are, by county (counts only, no names or contact details; 603 counties):
- Los Angeles County, CA: 186
- San Diego County, CA: 72
- Harris County, TX: 65
- Orange County, CA: 62
- Maricopa County, AZ: 60
- Nassau County, NY: 54
- Miami-Dade County, FL: 50
- Suffolk County, NY: 50
- Dallas County, TX: 49
- Westchester County, NY: 42
- and 593 more counties (see https://locationlists.com/find?dataset=flower-beauty-retailers&format=json)
Free map of these counts: https://locationlists.com/find/map?dataset=flower-beauty-retailers
The same counts by ZIP code: https://locationlists.com/find?areas=zip&dataset=flower-beauty-retailers

Left out:
- FLOWER Beauty Retailers: 4,010 match, but at 4,010 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=flower-beauty-retailers&areas=county
- Counts per ZIP code instead of rows: https://locationlists.com/find?dataset=flower-beauty-retailers&areas=zip
- Every Makeup & Nails list in the same area: https://locationlists.com/find?category=makeup-and-nails
- The nearest Morphe Retailers to each one, with miles: https://locationlists.com/find?dataset=flower-beauty-retailers&relate=nearest&k=1&b.dataset=morphe-retailers

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