LocationLists: Saatva Viewing Room Locations 35 showrooms 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=saatva-stores&area_columns=county:population,median_household_income,median_age - Census demographics: https://locationlists.com/find?dataset=saatva-stores&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=saatva-stores&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=saatva-stores&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=saatva-stores&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=saatva-stores&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=saatva-stores&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 — 35 rows · $9 (card, no account needed): https://locationlists.com/data/saatva-stores/buy?src=find Email me this quote (free, pay later): https://locationlists.com/find/quote?dataset=saatva-stores Preview (3 fixed sample row(s) from these lists, the same for every question — not a sample of your 35 matches): - Saatva - Pearl District, Portland · 1010 NW Flanders St, Portland, OR 97209 · 9714380010 [saatva-stores] — matches your question - Saatva - Logan Circle, Logan Circle · 1714 14th Street Northwest, Logan Circle, DC 20009 · 2029645600 [saatva-stores] — matches your question - Saatva - Kierland Commons, Scottsdale · 7030 East Greenway Parkway, Scottsdale, AZ 85254 · 6027345979 [saatva-stores] — matches your question Where the matches are, by ZIP code (counts only, no names or contact details; 35 ZIP codes): - 01803: 1 - 02116: 1 - 06880: 1 - 07652: 1 - 10003: 1 - 10022: 1 - 11030: 1 - 19103: 1 - 20009: 1 - 21202: 1 - and 25 more ZIP codes (see https://locationlists.com/find?dataset=saatva-stores&format=json) Free map of these counts: https://locationlists.com/find/map?dataset=saatva-stores Left out: - Saatva Viewing Room Locations: 35 match, but at 35 records this dataset is sold only as the whole file ($9). Other ways to ask this: - Counts per county instead of rows: https://locationlists.com/find?dataset=saatva-stores&areas=county - Counts per ZIP code instead of rows: https://locationlists.com/find?dataset=saatva-stores&areas=zip - Every Furniture & Mattress Retail list in the same area: https://locationlists.com/find?category=furniture Technical details (developers and AI agents): JSON: https://locationlists.com/find?dataset=saatva-stores&format=json · Nothing is charged until checkout is paid.