LocationLists: VIETRI Retailers 632 stores match (649 listings, 17 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=vietri-retailers&area_columns=county:population,median_household_income,median_age - Census demographics: https://locationlists.com/find?dataset=vietri-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=vietri-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=vietri-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=vietri-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=vietri-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=vietri-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=vietri-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=vietri-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=vietri-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=vietri-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 — 649 rows · $19 (card, no account needed): https://locationlists.com/data/vietri-retailers/buy?src=find Email me this quote (free, pay later): https://locationlists.com/find/quote?dataset=vietri-retailers Preview (3 fixed sample row(s) from these lists, the same for every question — not a sample of your 632 matches): - 333 S STATE ST Suite M, Lake Oswego, OR 97034 · 503-699-2927 [vietri-retailers] — matches your question - 40 Charles St, Boston, MA 02114 · 617-227-4646 [vietri-retailers] — matches your question - 101 8th Street South, Fargo, ND 58103 · 701-235-0031 [vietri-retailers] — matches your question Where the matches are, by county (counts only, no names or contact details; 349 counties): - Harris County, TX: 11 - Kings County, NY: 10 - Dallas County, TX: 10 - Los Angeles County, CA: 9 - Wake County, NC: 9 - Fulton County, GA: 8 - Mecklenburg County, NC: 8 - Allegheny County, PA: 8 - Charleston County, SC: 8 - Maricopa County, AZ: 7 - and 339 more counties (see https://locationlists.com/find?dataset=vietri-retailers&format=json) Free map of these counts: https://locationlists.com/find/map?dataset=vietri-retailers The same counts by ZIP code: https://locationlists.com/find?areas=zip&dataset=vietri-retailers Left out: - VIETRI Retailers: 649 match, but at 649 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=vietri-retailers&areas=county - Counts per ZIP code instead of rows: https://locationlists.com/find?dataset=vietri-retailers&areas=zip - Every Tableware, Decor & Gifts list in the same area: https://locationlists.com/find?category=tableware-decor-and-gifts - The nearest David Christopher's Retailers to each one, with miles: https://locationlists.com/find?dataset=vietri-retailers&relate=nearest&k=1&b.dataset=david-christophers-retailers Technical details (developers and AI agents): JSON: https://locationlists.com/find?dataset=vietri-retailers&format=json · Nothing is charged until checkout is paid.