Datasets:

beamstation
/

the-hhi-monopoly-index-for-oregon-us-140644-140644

beam_id string	title string	category_main_group string	category_sub_group string	category string	categories string	address string	street string	city string	state string	borough string	neighborhood string	postal_code int64	country string	address_verified bool	latitude float64	longitude float64	timezone string	phone string	price_level int64	business_status string	has_open_hours bool	has_price bool	census_place string	verified_census_city bool	beam_location_name string	beam_state_code string	beam_country_code string	website_protocol string	website string	website_normalized string	website_domain string	website_domain_tld string	website_domain_age float64	website_domain_registered string	website_domain_expires string	website_domain_registrar string	emails_list string	emails_list_website_domain string	emails_count int64	emails_deliverable_count int64	emails_risky_count int64	description string	has_about bool	has_description bool	rating float64	reviews_total_count int64	reviews_per_rating string	service_options string	highlights string	popular_for string	accessibility string	offerings string	dining_options string	amenities string	atmosphere string	crowd string	planning null	payments string	children string	has_popular_times bool	has_website bool	has_email string	has_social bool	has_phone bool	socials_count int64	first_social_post_date string	last_social_post_date string	first_social_post_days float64	last_social_post_days float64	social_post_count float64	first_social_post_days_min float64	first_social_post_days_max float64	last_social_post_days_min float64	last_social_post_days_max float64	social_profile_instagram string	social_username_instagram string	social_profile_facebook string	social_username_facebook string	social_profile_twitter string	social_username_twitter string	social_profile_tiktok null	social_username_tiktok null	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github string	social_username_github string	social_profile_snapchat null	social_username_snapchat null	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m null	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers null	tiktok_video_count null	tiktok_heart_count null	tiktok_engagement_rate null	tiktok_engagement_rate_1m null	tiktok_engagement_rate_3m null	tiktok_engagement_rate_6m null	tiktok_engagement_rate_12m null	menu_link string	order_links null	reservation_link null	last_updated_at string	beam_cross_social_market_penetration float64	beam_cross_velocity_quality float64	beam_cross_social_urgency float64	beam_cross_per_capita_engagement float64	beam_cross_market_saturation_lead float64	beam_cross_population_adjusted_rank float64	beam_cross_demand_gap_index float64	beam_rating_score float64	beam_review_confidence float64	beam_rating_health float64	sentiment_avg float64	sentiment_avg_30d null	sentiment_avg_90d float64	sentiment_avg_180d float64	sentiment_avg_360d float64	sentiment_percentile_1km float64	sentiment_percentile_5km float64	sentiment_percentile_10km float64	sentiment_score_90d float64	sentiment_score_360d float64	sentiment_positive_pct_30d null	sentiment_negative_pct_30d null	sentiment_neutral_pct_30d null	sentiment_positive_pct_90d float64	sentiment_negative_pct_90d float64	sentiment_neutral_pct_90d float64	sentiment_positive_pct_180d float64	sentiment_negative_pct_180d float64	sentiment_neutral_pct_180d float64	sentiment_positive_pct_360d float64	sentiment_negative_pct_360d float64	sentiment_neutral_pct_360d float64	sentiment_trend_30vs90d string	sentiment_trend_90vs360d string	sentiment_diff_30vs90d null	sentiment_change_360d float64	sentiment_diff_90vs360d float64	sentiment_change_pct_360d float64	reviews_count_90d int64	reviews_count_180d int64	reviews_count_360d int64	review_growth_pct_180d float64	review_growth_pct_360d float64	review_growth_pct_90d float64	beam_score_overall float64	beam_popularity_percentile float64	beam_social_presence int64	beam_data_completeness int64	beam_price_value float64	beam_data_freshness float64	beam_rank_city_category int64	beam_rank_city_overall int64	beam_rank_city_reviews int64	beam_rank_state_category int64	beam_rank_state_overall int64	beam_rank_state_reviews int64	beam_rank_country_category int64	beam_rank_country_overall int64	beam_rank_country_reviews int64	beam_rank_place_global_category int64	beam_rank_category int64	beam_rank_competition_1km_category int64	beam_rank_competition_1km_total int64	beam_rank_competition_1km_reviews int64	beam_rank_competition_5km_category int64	beam_rank_competition_5km_total int64	beam_rank_competition_5km_reviews int64	beam_rank_competition_10km_category int64	beam_rank_competition_10km_total int64	beam_rank_competition_10km_reviews int64	beam_export_rank int64	total_city_category int64	total_city int64	total_state_category int64	total_state int64	total_country_category int64	total_country int64	total_category_global int64	beam_competitors_10km_competitive_strength float64	beam_competitors_10km_competitor_avg_sentiment_30d float64	beam_competitors_10km_competitor_avg_sentiment_90d float64	beam_competitors_10km_sentiment_diff_30d float64	beam_competitors_10km_sentiment_diff_90d float64	beam_competitors_1km_competitive_strength float64	beam_competitors_1km_competitor_avg_sentiment_30d float64	beam_competitors_1km_competitor_avg_sentiment_90d float64	beam_competitors_1km_sentiment_diff_30d float64	beam_competitors_1km_sentiment_diff_90d float64	beam_competitors_5km_competitive_strength float64	beam_competitors_5km_competitor_avg_sentiment_30d float64	beam_competitors_5km_competitor_avg_sentiment_90d float64	beam_competitors_5km_sentiment_diff_30d float64	beam_competitors_5km_sentiment_diff_90d float64	beam_competitors_10km_competitor_count int64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count int64	beam_competitors_1km_rank_by_score int64	beam_competitors_1km_rank_by_rating int64	beam_competitors_1km_rank_by_reviews int64	beam_competitors_1km_score_percentile float64	beam_competitors_1km_rating_percentile float64	beam_competitors_1km_reviews_percentile float64	beam_competitors_1km_health_percentile float64	beam_competitors_1km_sentiment_percentile float64	beam_competitors_1km_competitor_avg_score float64	beam_competitors_1km_competitor_avg_rating float64	beam_competitors_1km_competitor_avg_reviews int64	beam_competitors_1km_competitor_avg_health float64	beam_competitors_1km_competitor_avg_sentiment float64	beam_competitors_1km_score_diff float64	beam_competitors_1km_rating_diff float64	beam_competitors_1km_reviews_diff int64	beam_competitors_1km_health_diff float64	beam_competitors_1km_sentiment_diff float64	beam_competitors_5km_rank_by_score int64	beam_competitors_5km_rank_by_rating int64	beam_competitors_5km_rank_by_reviews int64	beam_competitors_5km_score_percentile float64	beam_competitors_5km_rating_percentile float64	beam_competitors_5km_reviews_percentile float64	beam_competitors_5km_health_percentile float64	beam_competitors_5km_sentiment_percentile float64	beam_competitors_5km_competitor_avg_score float64	beam_competitors_5km_competitor_avg_rating float64	beam_competitors_5km_competitor_avg_reviews int64	beam_competitors_5km_competitor_avg_health float64	beam_competitors_5km_competitor_avg_sentiment float64	beam_competitors_5km_score_diff float64	beam_competitors_5km_rating_diff float64	beam_competitors_5km_reviews_diff int64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score int64	beam_competitors_10km_rank_by_rating int64	beam_competitors_10km_rank_by_reviews int64	beam_competitors_10km_score_percentile float64	beam_competitors_1km_competitive_tier string	beam_competitors_10km_rating_percentile float64	beam_competitors_10km_reviews_percentile float64	beam_competitors_10km_health_percentile float64	beam_competitors_10km_sentiment_percentile float64	beam_competitors_5km_competitive_tier string	beam_competitors_10km_competitor_avg_score float64	beam_competitors_10km_competitor_avg_rating float64	beam_competitors_10km_competitor_avg_reviews int64	beam_competitors_10km_competitor_avg_health float64	beam_competitors_10km_competitive_tier string	beam_competitors_10km_competitor_avg_sentiment float64	beam_competitors_10km_score_diff float64	beam_competitors_10km_rating_diff float64	beam_competitors_10km_reviews_diff int64	beam_competitors_10km_health_diff float64	beam_competitors_10km_sentiment_diff float64	beam_competitors_1km_total_in_radius int64	beam_competitors_5km_total_in_radius int64	beam_competitors_10km_total_in_radius int64	beam_competitors_1km_avg_distance_m int64	beam_competitors_1km_closest_competitor_m int64	beam_competitors_1km_market_type string	beam_competitors_1km_review_share float64	beam_competitors_1km_density_per_sqkm float64	beam_competitors_1km_tier_below_40 float64	beam_competitors_1km_tier_40_59 float64	beam_competitors_1km_tier_60_79 float64	beam_competitors_1km_tier_80_100 float64	beam_competitors_5km_avg_distance_m int64	beam_competitors_5km_closest_competitor_m int64	beam_competitors_5km_market_type string	beam_competitors_5km_review_share float64	beam_competitors_5km_density_per_sqkm float64	beam_competitors_5km_tier_below_40 float64	beam_competitors_5km_tier_40_59 float64	beam_competitors_5km_tier_60_79 float64	beam_competitors_5km_tier_80_100 float64	beam_competitors_10km_avg_distance_m int64	beam_competitors_10km_closest_competitor_m int64	beam_competitors_10km_market_type string	beam_competitors_10km_review_share float64	beam_competitors_10km_density_per_sqkm float64	beam_competitors_10km_tier_below_40 float64	beam_competitors_10km_tier_40_59 float64	beam_competitors_10km_tier_60_79 float64	beam_competitors_10km_tier_80_100 float64	beam_competitors_city_competitor_avg_sentiment_30d float64	beam_competitors_city_competitor_avg_sentiment_90d float64	beam_competitors_city_sentiment_diff_30d float64	beam_competitors_city_sentiment_diff_90d float64	beam_competitors_city_competitor_count int64	beam_competitors_city_total_in_city int64	beam_competitors_city_rank_by_score int64	beam_competitors_city_rank_by_rating int64	beam_competitors_city_rank_by_reviews int64	beam_competitors_city_score_percentile float64	beam_competitors_city_rating_percentile float64	beam_competitors_city_reviews_percentile float64	beam_competitors_city_health_percentile float64	beam_competitors_city_sentiment_percentile float64	beam_competitors_city_competitor_avg_score float64	beam_competitors_city_competitor_avg_rating float64	beam_competitors_city_competitor_avg_reviews int64	beam_competitors_city_competitor_avg_health float64	beam_competitors_city_competitor_avg_sentiment float64	beam_competitors_city_score_diff float64	beam_competitors_city_rating_diff float64	beam_competitors_city_reviews_diff int64	beam_competitors_city_health_diff float64	beam_competitors_city_sentiment_diff float64	beam_competitors_city_market_type string	beam_competitors_city_review_share float64	beam_competitors_city_density_per_sqkm float64	beam_competitors_city_tier_below_40 float64	beam_competitors_city_tier_40_59 float64	beam_competitors_city_tier_60_79 float64	beam_competitors_city_tier_80_100 float64	beam_competitors_city_competitive_strength float64	beam_competitors_city_underserved_score float64	beam_competitors_city_competition_intensity float64	beam_competitors_state_competitor_avg_sentiment_30d float64	beam_competitors_state_competitor_avg_sentiment_90d float64	beam_competitors_state_sentiment_diff_30d float64	beam_competitors_state_sentiment_diff_90d float64	beam_competitors_state_competitor_count int64	beam_competitors_state_total_in_state int64	beam_competitors_state_rank_by_score int64	beam_competitors_state_rank_by_rating int64	beam_competitors_state_rank_by_reviews int64	beam_competitors_state_score_percentile float64	beam_competitors_state_rating_percentile float64	beam_competitors_state_reviews_percentile float64	beam_competitors_state_health_percentile float64	beam_competitors_state_sentiment_percentile float64	beam_competitors_state_competitor_avg_score float64	beam_competitors_state_competitor_avg_rating float64	beam_competitors_state_competitor_avg_reviews int64	beam_competitors_state_competitor_avg_health float64	beam_competitors_state_competitor_avg_sentiment float64	beam_competitors_state_score_diff float64	beam_competitors_state_rating_diff float64	beam_competitors_state_reviews_diff int64	beam_competitors_state_health_diff float64	beam_competitors_state_sentiment_diff float64	beam_competitors_state_market_type string	beam_competitors_state_review_share float64	beam_competitors_state_density_per_sqkm float64	beam_competitors_state_underserved_score float64	beam_competitors_state_competition_intensity float64	beam_competitors_state_competitive_strength float64	beam_competitors_country_competitor_avg_sentiment_30d float64	beam_competitors_country_competitor_avg_sentiment_90d float64	beam_competitors_country_sentiment_diff_30d float64	beam_competitors_country_sentiment_diff_90d float64	beam_competitors_country_competitor_count int64	beam_competitors_country_competitor_avg_score float64	beam_competitors_country_competitor_avg_rating float64	beam_competitors_country_competitor_avg_reviews int64	beam_competitors_country_competitor_avg_health float64	beam_competitors_country_competitor_avg_sentiment float64	beam_competitors_country_score_diff float64	beam_competitors_country_rating_diff float64	beam_competitors_country_reviews_diff int64	beam_competitors_country_sentiment_diff float64	beam_competitors_country_score_percentile float64	beam_competitors_country_rating_percentile float64	beam_competitors_country_reviews_percentile float64	beam_competitors_country_health_percentile float64	beam_competitors_country_sentiment_percentile float64	beam_competitors_country_rank_by_score int64	beam_competitors_country_competitive_strength float64	beam_competitors_country_health_diff float64	beam_competitors_country_rank_by_rating int64	beam_competitors_country_rank_by_reviews int64	beam_competitors_country_tier_40_59 float64	beam_competitors_country_tier_60_79 float64	beam_competitors_country_tier_80_100 float64	beam_competitors_country_tier_below_40 float64	beam_competitors_country_total_in_country int64	beam_competitors_city_siblings_competitor_count int64	beam_competitors_city_siblings_competitor_avg_score float64	beam_competitors_city_siblings_competitor_avg_rating float64	beam_competitors_city_siblings_competitor_avg_reviews int64	beam_competitors_city_siblings_competitor_avg_health float64	beam_competitors_city_siblings_competitor_avg_sentiment float64	beam_competitors_city_siblings_score_diff float64	beam_competitors_city_siblings_rating_diff float64	beam_competitors_city_siblings_reviews_diff int64	beam_competitors_city_siblings_sentiment_diff float64	beam_competitors_city_siblings_score_percentile float64	beam_competitors_city_siblings_rating_percentile float64	beam_competitors_city_siblings_reviews_percentile float64	beam_competitors_city_siblings_health_percentile float64	beam_competitors_city_siblings_sentiment_percentile float64	beam_competitors_city_siblings_rank_by_score int64	beam_competitors_city_siblings_competitor_avg_recommend_pct float64	beam_competitors_city_siblings_recommend_pct_diff float64	beam_competitors_city_siblings_recommend_pct_percentile float64	beam_competitors_city_siblings_total_siblings int64	beam_competitors_city_businesses_per_10k_pop float64	beam_competitors_city_population_per_business int64	beam_competitors_city_population_density int64	beam_competitors_city_reviews_per_capita float64	beam_competitors_city_reviews_per_10k_pop float64	beam_competitors_state_businesses_per_10k_pop float64	beam_competitors_state_population_per_business int64	beam_competitors_state_population_density int64	beam_competitors_state_reviews_per_capita float64	beam_competitors_state_reviews_per_10k_pop float64	beam_competitors_1km_hhi_contribution float64	beam_competitors_1km_hhi_minimum float64	beam_competitors_5km_hhi_contribution float64	beam_competitors_5km_hhi_minimum float64	beam_competitors_10km_hhi_contribution float64	beam_competitors_10km_hhi_minimum float64	beam_competitors_city_hhi_contribution float64	beam_competitors_city_hhi_minimum float64	beam_competitors_state_hhi_contribution float64	beam_competitors_state_hhi_minimum float64	beam_trends_score_30d_beam_score_overall float64	beam_trends_score_30d_rating float64	beam_trends_score_30d_review_count int64	beam_trends_score_30d_beam_rating_health float64	beam_trends_score_30d_beam_popularity_percentile float64	beam_trends_score_90d_beam_score_overall null	beam_trends_score_90d_rating null	beam_trends_score_90d_review_count null	beam_trends_score_90d_beam_rating_health null	beam_trends_score_90d_beam_popularity_percentile null	beam_trends_competitive_1km_30d_strength_change float64	beam_trends_competitive_1km_30d_rank_change int64	beam_trends_competitive_1km_30d_percentile_change float64	beam_trends_competitive_1km_90d_strength_change float64	beam_trends_competitive_1km_90d_rank_change int64	beam_trends_competitive_1km_90d_percentile_change float64	beam_trends_competitive_5km_30d_strength_change float64	beam_trends_competitive_5km_30d_rank_change int64	beam_trends_competitive_5km_30d_percentile_change float64	beam_trends_competitive_5km_90d_strength_change float64	beam_trends_competitive_5km_90d_rank_change int64	beam_trends_competitive_5km_90d_percentile_change float64	beam_trends_competitive_10km_30d_strength_change float64	beam_trends_competitive_10km_30d_rank_change int64	beam_trends_competitive_10km_30d_percentile_change float64	beam_trends_competitive_10km_90d_strength_change float64	beam_trends_competitive_10km_90d_rank_change int64	beam_trends_competitive_10km_90d_percentile_change float64	beam_trends_competitive_city_30d_strength_change float64	beam_trends_competitive_city_30d_rank_change int64	beam_trends_competitive_city_30d_percentile_change float64	beam_trends_competitive_city_90d_strength_change float64	beam_trends_competitive_city_90d_rank_change int64	beam_trends_competitive_city_90d_percentile_change float64	beam_trends_competitive_state_30d_strength_change float64	beam_trends_competitive_state_30d_rank_change int64	beam_trends_competitive_state_30d_percentile_change float64	beam_trends_competitive_state_90d_strength_change float64	beam_trends_competitive_state_90d_rank_change int64	beam_trends_competitive_state_90d_percentile_change float64	beam_trends_sentiment_current_sentiment float64	beam_trends_sentiment_positive_ratio null	beam_trends_sentiment_negative_ratio null	beam_trends_sentiment_review_count int64	beam_trends_velocity_reviews_per_day float64	beam_trends_velocity_reviews_per_month float64	beam_trends_velocity_percentile_city float64	beam_trends_velocity_percentile_state float64	beam_trends_velocity_trend string	beam_velocity_reviews_per_day float64	beam_velocity_reviews_per_week float64	beam_velocity_reviews_per_month float64	beam_velocity_reviews_last_30d int64	beam_velocity_reviews_last_90d int64	beam_velocity_reviews_last_365d int64	beam_velocity_percentile_1km float64	beam_velocity_percentile_5km float64	beam_velocity_percentile_10km float64	beam_velocity_percentile_city float64	beam_velocity_percentile_state float64	beam_velocity_rank_1km int64	beam_velocity_rank_5km int64	beam_velocity_rank_10km int64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d null	beam_trends_sentiment_recommend_pct float64
K8RJ4KX4	Dairy Queen Grill & Chill	Food and Drink	Restaurants	Fast food restaurant	Fast food restaurant, Ice cream shop	165 S Columbia St, Milton-Freewater, OR 97862, United States	165 S Columbia St	Milton-Freewater	Oregon	null	null	97,862	US	true	45.93379	-118.387052	America/Los_Angeles	+1 541-9-**	1	OPERATIONAL	true	true	null	true	Milton-Freewater	Oregon	US	https	https://dairyqueen.com/en-us/locations/or/milton-freewater/165-s-columbia-st/5249	dairyqueen.com/en-us/locations/or/milton-freewater/165-s-columbia-st/5249	dairyqueen.com	com	11,180	1995-09-19	2027-09-18	MarkMonitor, Inc.	"purchase_dataset@idq.com, purchase_dataset@gmail.com, purchase_dataset@mww.com, purchase_dataset@id(...TRUNCATED)	null	7	7	0	"Soft-serve ice cream & signature shakes top the menu at this classic burger & fries fast-food chain(...TRUNCATED)	true	true	3.61	398	{"1": 73, "2": 19, "3": 54, "4": 96, "5": 155}	Outdoor seating, Drive-through, On-site services, Takeaway, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair-accessible car park, Wheelchair-accessible entrance, Wheelchair-accessible toilet	Coffee, Quick bite	Lunch, Dinner, Counter service, Dessert, Seating	Toilet, Wi-Fi	Casual	Family friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-11-03	2026-02-13	177	75	24	177	177	75	75	https://www.instagram.com/dairyqueen	dairyqueen	https://www.facebook.com/dairyqueen	dairyqueen	https://twitter.com/dairyqueen	dairyqueen	null	null	https://www.linkedin.com/company/dairy-queen	dairy-queen	https://www.youtube.com/dairyqueen	dairyqueen	null	null	null	null	null	null	924,131	0.28	null	0.51	0.28	0.28	1,518	null	null	null	null	null	null	null	null	https://dairyqueen.com/us-en/menu/food	null	null	2026-04-28T23:08:49.877206+00:00	742.45	0.99	0	1,600.21	99.9	5.1471	0.35	72.2	86.7	63.3	0.2673	null	-0.008	-0.42	-0.1753	0.25	0	0	49.6	41.2	null	null	null	60	40	0	33.33	66.67	0	42.86	53.57	3.57	stable	improving	null	8.4	0.1673	20.4	5	12	28	-16.7	-28.6	-100	64.1	27.4	64	100	56.9	40	1	13	1	4,093	20,328	6,490	290,223	1,221,340	417,168	311,114	1	3	5	1	2	5	1	2	2	1	236	8	19	11,692	25,437	786,928	1,595,281	786,928	0.3	0	0.6725	0	-0.6805	0.575	0	0.2917	0	-0.2997	0.6	0	0	0	-0.008	1	4	4	3	4	1	0.5	0.25	1	0.25	0.25	61.1	4.17	209	78.6	0.5502	3	-0.56	189	-15.3	-0.2829	2	5	1	0.75	0	1	0	0	61.2	4.66	192	91.6	0.6919	2.9	-1.05	206	-28.3	-0.4246	2	2	1	0	Average	0	1	0	0	Average	69.4	4.85	27	96.3	Below Average	0.8916	-5.3	-1.24	371	-33	-0.6243	5	5	2	492	149	concentrated	0.3231	1.27	0	25	75	0	2,812	1,585	concentrated	0.3419	0.05	0	25	75	0	6,752	6,752	concentrated	0.9365	0	0	0	100	0	0	0.1458	0	-0.1538	8	9	4	8	1	0.625	0.125	1	0.125	0.125	61.1	4.41	200	85.1	0.621	3	-0.8	198	-21.8	-0.3537	moderate	0.1992	1.52	0	25	75	0	0.5875	0.59	6.84	0.1137	0.6577	-0.1137	-0.6657	278	279	270	278	211	0.0324	0.0036	0.2446	0.0036	0.0576	78.5	4.59	834	90.3	0.7137	-14.4	-0.98	-436	-27	-0.4464	competitive	0.0017	0.0011	0.65	0.52	0.0874	0.0328	0.2935	-0.0328	-0.3015	849,634	59.7	3.83	389	76.2	0.4652	4.4	-0.22	9	-0.1979	0.4901	0.1293	0.6337	0.224	0.267	430,493	0.4249	-12.9	737,894	310,712	23.1	58	4.5	14.4	849,635	4	57.6	4.08	216	74.7	0.5021	6.5	-0.47	182	-0.2348	1	0.3333	1	0.3333	0.3333	1	79.91	-5.99	0.3333	4	11.19	894	1,360	0.2237	2,237.45	0.66	15,242	17	0.0547	546.95	1,043.63	2,000	1,169.12	2,000	8,769.77	5,000	396.8	1,111.11	0.03	35.84	-2.8	0	0	0	-36.1	null	null	null	null	null	0.11	-124,916	0.189	-49.05	136,082	-0.163	0.06	-93,049	0.155	-49.23	392,623	-0.487	-0.03	82,304	-0.083	-49.25	238,640	-0.292	-0.05	1	-0.119	-49.17	-276,757	0.059	0.06	-753	0.092	-49.43	-272,155	-0.113	0.2673	null	null	398	0.03	1	1	0.325	decelerating	0.03	0.23	1	1	9	32	0.494	0.501	0.502	1	0.315	329,426	350,498	348,784	1	397	decelerating	-0.14	null	73.92
YUFNKLJS	Tammy D's Cafe & Bakery	Food and Drink	Restaurants	Breakfast restaurant	Breakfast restaurant, Bakery, Cafe	26620 OR-213, Mulino, OR 97042	26620 OR-213	Molalla	Oregon	null	null	97,042	US	true	45.221332	-122.581268	America/Los_Angeles	(503) 75-***	2	OPERATIONAL	true	true	Mulino	true	Molalla	Oregon	US	https	https://m.facebook.com/tammydscafeandbakery	m.facebook.com/tammydscafeandbakery	m.facebook.com	com	10,623	1997-03-29	2034-03-30	RegistrarSafe, LLC	null	null	0	0	0	null	true	false	4.69	442	{"1": 5, "2": 6, "3": 14, "4": 67, "5": 343}	Onsite services, Takeout, Dine-in	Great coffee, Great tea selection, Serves local specialty	Breakfast, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Quick bite, Small plates	Breakfast, Brunch, Lunch, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-28T21:12:39.082018+00:00	0	0.17	2	6,406.92	1,182.8	12.9282	0.33	93.8	88.2	94.1	0.8539	null	0.9286	0.95	0.8125	1	1	0.9744	96.4	90.6	null	null	null	100	0	0	100	0	0	91.67	8.33	0	stable	improving	null	5.8	0.1161	6.4	7	10	24	40	16.7	-100	72.4	32.8	8	60	96.1	40	5	8	8	3,778	6,090	5,923	269,454	325,451	383,849	289,015	5	1	2	2	2	2	1	12	40	13	20	19	30	11,692	25,437	786,928	1,595,281	786,928	0.7564	0.1006	0.3598	-0.1006	0.5688	0.7	0	0.5824	0	0.3462	0.6	0	0.75	0	0.1786	39	1	1	1	1	2	1	1	0	1	1	66.9	4.6	519	91.9	0.8274	5.5	0.09	-77	2.2	0.0265	2	1	1	0	1	1	1	1	74.7	4.34	345	82	0.6639	-2.3	0.35	97	12.1	0.19	12	6	13	0.7179	Strong	0.8718	0.6923	0.9231	0.9744	Average	64.7	4.17	343	80.8	Strong	0.5465	7.7	0.52	99	13.3	0.3074	2	2	40	101	101	concentrated	0.4599	0.32	0	0	100	0	2,613	2,613	concentrated	0.5616	0.01	0	0	100	0	8,768	7,963	competitive	0.032	0.12	5.1	17.9	69.2	7.7	0	0.3161	0	0.6125	19	20	6	6	7	0.7368	0.7368	0.6842	0.8421	0.9474	65.4	4.32	345	81.9	0.5865	7	0.37	97	12.2	0.2674	competitive	0.0632	2.87	5.3	15.8	73.7	5.3	0.721	0.35	12.15	0.1395	0.724	-0.1395	0.2046	188	189	186	40	165	0.016	0.7926	0.1277	0.8298	0.8298	82.1	4.6	1,018	90.6	0.7824	-9.7	0.09	-576	3.5	0.0715	competitive	0.0023	0.0007	0.96	0.36	0.2825	0.0328	0.2935	-0.0328	0.6351	849,634	59.7	3.83	389	76.2	0.4652	12.7	0.86	53	0.3887	0.7642	0.7651	0.6592	0.8758	0.9251	197,529	0.733	17.9	194,702	289,023	23.1	58	4.5	14.4	849,635	12	66.7	4.56	200	85.3	0.6354	5.7	0.13	242	0.2185	0.6364	0.5455	0.9091	0.7273	0.9091	4	73.21	22	0.8182	12	18.58	538	1,547	0.6409	6,408.88	0.44	22,539	17	0.0451	451.48	2,115.43	5,000	3,154.24	5,000	10.22	250	39.9	500	0.05	52.91	-1.2	-0.01	4	-0.2	-30.7	null	null	null	null	null	0.04	-40,382	0.064	-62.56	-233,849	0.329	0.01	575	0.007	-62.82	-242,569	0.336	-0.01	-19,684	0.058	-63.29	238,703	-0.283	0.02	0	0.069	-62.81	-410,788	0.129	0.01	-281	0.042	-62.89	-409,280	0.226	0.8539	null	null	442	0.07	2	0	0.567	decelerating	0.07	0.47	2	2	8	27	0.701	0.706	0.707	0	0.557	221,055	234,514	233,522	1	160	decelerating	-0.1	null	95.21
FC5WYAF4	Chiang Rai Thai Cuisine	Food and Drink	Restaurants	Thai restaurant	"Thai restaurant, Gluten-free restaurant, Noodle shop, Pho restaurant, Rice restaurant, Southeast As(...TRUNCATED)	27028 SE Stark St, Troutdale, OR 97060	27028 SE Stark St	Troutdale	Oregon	null	null	97,060	US	true	45.518089	-122.385043	America/Los_Angeles	(503) 91-***	2	null	true	true	null	true	Troutdale	Oregon	US	https	https://chiangraitroutdale.com	chiangraitroutdale.com	chiangraitroutdale.com	com	3,449	2016-11-18	2026-11-18	Squarespace Domains II LLC	purchase_dataset@yahoo.com, purchase_dataset@owner.com	null	2	1	1	null	true	false	4.23	416	{"1": 35, "2": 13, "3": 32, "4": 76, "5": 268}	Outdoor seating, Curbside pickup, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegetarian options,(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Quiet	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	2	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/chyna.drysdale	chyna.drysdale	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://chiangraitroutdale.com/menu	null	null	2026-04-28T10:21:50.598913+00:00	0	0	3	11,808.59	2,537.4	68.9655	0.15	84.6	87.3	80.8	0.6233	null	0.6853	0.7236	0.8253	0.6667	0.4621	0.4786	84.3	91.3	null	null	null	85.71	14.29	0	87.5	12.5	0	92.16	7.84	0	stable	declining	null	-7	-0.14	-7.7	7	24	51	-41.7	-45.1	-100	65.7	9.5	16	80	86.4	38	20	71	32	3,955	15,334	6,241	281,491	850,243	403,077	301,831	20	2	4	2	112	146	80	87	141	63	177	73	139	11,692	25,437	786,928	1,595,281	786,928	0.4478	0.0546	0.3528	-0.0546	0.3718	0.6667	0	-0.3333	0	1.0579	0.3586	0.0964	0.4005	-0.0964	0.3241	140	3	145	2	2	2	0.6667	0.6667	0.6667	0.6667	0.6667	55.2	4.02	222	73.6	0.542	10.5	0.21	194	7.2	0.0813	112	84	80	0.2345	0.4276	0.4552	0.4276	0.4621	68.6	4.09	633	79.1	0.5614	-2.9	0.14	-217	1.7	0.0619	87	82	63	0.3857	Strong	0.4214	0.5571	0.4214	0.4786	Below Average	64.7	4.16	474	79.8	Average	0.5651	1	0.07	-58	1	0.0582	4	146	141	175	129	concentrated	0.3845	0.95	0	66.7	33.3	0	3,342	1,079	competitive	0.0045	1.85	5.5	7.6	75.9	11	7,691	5,334	competitive	0.0062	0.45	7.1	9.3	78.6	5	0.0264	0.2716	-0.0264	0.453	71	72	33	31	18	0.5493	0.5775	0.7606	0.6338	0.6338	59.9	3.77	274	72.5	0.4395	5.8	0.46	142	8.3	0.1838	competitive	0.021	4.55	8.5	38	52.1	1.4	0.6212	0.15	26.09	0.1137	0.6556	-0.1137	0.069	278	279	267	267	209	0.0432	0.0432	0.2518	0.036	0.1871	78.5	4.59	835	90.2	0.7123	-12.8	-0.36	-419	-9.4	-0.089	competitive	0.0018	0.0011	0.65	0.52	0.1058	0.0328	0.2935	-0.0328	0.4311	849,634	59.7	3.83	389	76.2	0.4652	6	0.4	27	0.1581	0.5407	0.4019	0.6444	0.5007	0.6165	387,443	0.5302	4.6	502,349	301,612	23.1	58	4.5	14.4	849,635	61	59.5	4.14	220	74.3	0.4675	6.2	0.09	196	0.1558	0.5667	0.4167	0.8	0.55	0.5833	27	67.63	19.33	0.7833	61	43.56	230	1,044	1.1926	11,925.77	0.66	15,242	17	0.0548	547.59	1,478.2	2,500	0.2	68.49	0.39	70.92	4.39	138.89	0.03	35.84	-5.2	0	0	0	-56	null	null	null	null	null	0.07	-69,233	0.124	-53.51	308,190	-0.381	-0.04	42,293	-0.034	-53.44	95,078	-0.102	0	38,250	-0.02	-53.67	305,277	-0.373	-0.08	13	-0.176	-53.39	-342,543	0.002	0.03	95	0.015	-53.43	-339,174	0.027	0.6233	null	null	416	0	0	0	0	decelerating	0.23	1.63	7	7	10	53	0.816	0.822	0.822	1	0.84	142,983	148,636	148,433	1	41	accelerating	-0.04	null	86.96
2JVP7MLV	Ninja Bowl Teriyaki & Bubble Tea	Food and Drink	Restaurants	Japanese restaurant	Japanese restaurant, Bubble tea store, Restaurant, Tea house	13310 NW Main St, Banks, OR 97106	13310 NW Main St	Banks	Oregon	null	null	97,106	US	true	45.6166	-123.114226	America/Los_Angeles	(503) 74-***	2	null	true	true	null	true	Banks	Oregon	US	https	https://clover.com/online-ordering/banksninja	clover.com/online-ordering/banksninja	clover.com	com	12,664	1991-08-27	2030-08-26	Network Solutions, LLC	"purchase_dataset@fiserv.com, purchase_dataset@gmail.com, purchase_dataset@clover.com, purchase_data(...TRUNCATED)	realdomain	37	22	15	null	true	false	4.62	266	{"1": 9, "2": 4, "3": 12, "4": 37, "5": 205}	Outdoor seating, No-contact delivery, Delivery, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Healthy options, Quick bite, Small plates, Vegetarian options	Lunch, Dinner, Counter service, Seating	Restroom, Wi-Fi	Casual, Cozy, Quiet	Family-friendly, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	7	2025-10-26	2026-02-12	185	76	24	185	185	76	76	https://www.instagram.com/clovercommerce	clovercommerce	https://www.facebook.com/clovercommerce	clovercommerce	https://twitter.com/clovercommerce	clovercommerce	null	null	https://www.linkedin.com/company/clovernetwork	clovernetwork	null	null	https://github.com/clover	clover	null	null	https://www.pinterest.com/itsdefnotclover	itsdefnotclover	48,932	0.05	null	0.04	0.05	0.05	1,292	null	null	null	null	null	null	null	null	null	null	null	2026-04-28T08:26:27.664237+00:00	263.48	0	0	10,821.96	552.1	11.8026	0.11	92.4	80.9	91.4	0.8193	null	1	0.6875	0.4564	0.8	1	0.75	100	72.8	null	null	null	100	0	0	87.5	12.5	0	78.95	21.05	0	stable	improving	null	27.2	0.5436	37.4	3	8	19	-25	-36.8	-100	74.5	9.5	72	80	98.5	38	4	11	4	5,169	7,632	8,512	364,874	402,680	540,745	390,660	4	1	6	2	1	2	1	1	13	5	46	11	19	11,692	25,437	786,928	1,595,281	786,928	0.775	0	0.4013	0	0.5987	0.76	0	0.6172	0	0.3828	1	0	0	0	1	12	5	1	1	4	2	1	0.4	0.8	0.6	0.8	64.9	4.61	114	88.5	0.6529	9.6	0.01	152	2.9	0.1664	1	1	1	1	1	1	1	1	31.7	0	0	50	0	42.8	4.62	266	41.4	0.8193	1	6	5	1	Strong	0.5833	0.6667	0.5833	0.75	Market Leader	63.1	4.34	381	82.9	Strong	0.5924	11.4	0.28	-115	8.5	0.2269	6	2	13	675	414	concentrated	0.3174	1.59	0	40	60	0	3,611	3,611	concentrated	1	0.01	100	0	0	0	8,687	5,837	moderate	0.055	0.04	0	33.3	66.7	0	0	0.4529	0	0.5471	10	11	2	6	4	0.9	0.5	0.7	0.7	0.9	63	4.1	199	83.7	0.5659	11.5	0.52	67	7.7	0.2534	moderate	0.1181	5.08	10	20	70	0	0.72	0.12	34.3	0.1137	0.657	-0.1137	0.343	278	279	218	121	226	0.2194	0.5683	0.1906	0.5647	0.7302	78.5	4.59	833	90.3	0.7138	-4	0.03	-567	1.1	0.1055	competitive	0.0011	0.0011	0.65	0.52	0.3154	0.0328	0.2935	-0.0328	0.7065	849,634	59.7	3.83	389	76.2	0.4652	14.8	0.79	-123	0.3541	0.8294	0.7189	0.5394	0.8141	0.8915	142,458	0.7092	15.2	233,344	390,594	23.1	58	4.5	14.4	849,635	9	63.7	4.58	147	84	0.5986	10.8	0.04	119	0.2207	0.875	0.375	0.75	0.75	0.75	2	55.53	39.55	1	9	54.44	184	932	1.0817	10,816.55	0.66	15,242	17	0.0546	546.47	1,007.57	1,666.67	10,000	5,000	30.2	769.23	139.39	909.09	0.01	35.84	-1.9	0	0	0	-17.9	null	null	null	null	null	0.03	-26,379	0.049	-69.4	66,993	-0.08	0	29,220	0.001	-70	630,388	-0.797	0.03	-6,472	0.041	-69.73	476,768	-0.607	0	0	0	-69.37	-159,341	0.199	0.08	-1,402	0.124	-69.43	-158,852	0.117	0.8193	null	null	266	0	0	0	0	decelerating	0.03	0.23	1	1	6	21	0.281	0.292	0.294	0	0.234	528,654	556,970	554,104	1	117	decelerating	0.03	null	95.08
NVDFND3H	Dairy Queen	Food and Drink	Restaurants	Fast food restaurant	Fast food restaurant, Ice cream shop	734 State Hwy 99 N, Eugene, OR 97402	734 State Hwy 99 N	Eugene	Oregon	Bethel-Danebo	Bethel	97,402	US	true	44.068878	-123.142318	America/Los_Angeles	(541) 68-***	1	OPERATIONAL	true	true	null	true	Eugene	Oregon	US	https	https://dairyqueen.com/us-en/locator/detail/?localechange=1&store-id=5240	dairyqueen.com/us-en/locator/detail/?localechange=1&store-id=5240	dairyqueen.com	com	11,180	1995-09-19	2027-09-18	MarkMonitor, Inc.	"purchase_dataset@gmail.com, purchase_dataset@idq.com, purchase_dataset@gmail.com, purchase_dataset@(...TRUNCATED)	null	6	6	0	"Soft-serve ice cream & signature shakes top the menu at this classic burger & fries fast-food chain(...TRUNCATED)	true	true	3.21	960	{"1": 252, "2": 100, "3": 175, "4": 234, "5": 344}	Drive-through, Onsite services, Takeout, Dine-in	null	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom	Coffee, Late-night food, Quick bite	Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-11-03	2026-02-13	177	75	24	177	177	75	75	https://www.instagram.com/dairyqueen	dairyqueen	https://www.facebook.com/dairyqueen	dairyqueen	https://twitter.com/dairyqueen	dairyqueen	null	null	https://www.linkedin.com/company/dairy-queen	dairy-queen	https://www.youtube.com/user/dairyqueen	dairyqueen	null	null	null	null	null	null	924,131	0.28	null	0.51	0.28	0.28	1,518	null	null	null	null	null	null	null	null	https://dairyqueen.com/us-en/menu/food	null	null	2026-04-28T05:43:36.925153+00:00	500.85	2.23	0	4,914.3	89.4	65.97	0.69	64.2	99.4	50.3	0.056	null	0.0243	-0.0728	-0.0706	0.3	0.1282	0.1183	51.2	46.5	null	null	null	50	41.67	8.33	44.44	48.15	7.41	45.76	49.15	5.08	stable	improving	null	4.7	0.0949	10.1	12	27	59	-11.1	-18.6	-100	60.9	27.4	64	100	52	38	73	1,312	118	1,347	21,558	1,988	109,904	1,310,513	146,000	119,355	73	4	11	1	144	196	38	133	170	37	256	650	1,530	11,692	25,437	786,928	1,595,281	786,928	0.3503	0.0317	0.341	-0.0317	-0.3955	0.64	0	0.3609	0	-0.4154	0.3759	0.0237	0.428	-0.0237	-0.4825	169	10	195	4	9	1	0.7	0.2	1	0.2	0.3	49.2	3.97	216	81.8	0.5148	11.7	-0.76	744	-31.5	-0.4588	144	179	38	0.2667	0.0872	0.8103	0.0974	0.1282	62.1	4.09	504	80.4	0.54	-1.2	-0.88	456	-30.1	-0.484	133	155	37	0.2189	Average	0.0888	0.787	0.1006	0.1183	Below Average	62.1	4.06	526	77.8	Below Average	0.5181	-1.2	-0.85	434	-27.5	-0.4621	11	196	170	480	112	moderate	0.308	3.18	30	20	50	0	3,565	1,880	competitive	0.0097	2.48	19.5	6.2	68.2	6.2	6,651	5,033	competitive	0.0107	0.54	17.2	3.6	75.7	3.6	0.0282	0.4625	-0.0282	-0.517	221	222	181	218	47	0.1855	0.0181	0.7919	0.0317	0.0724	66.4	4.34	564	83.5	0.5867	-5.5	-1.13	396	-33.2	-0.5307	competitive	0.0076	1.91	12.2	5.9	75.1	6.8	0.3172	0.53	8.31	0.1137	0.6568	-0.1137	-0.7113	278	279	275	279	128	0.0144	0	0.5432	0	0.0144	78.5	4.59	834	90.2	0.7135	-17.6	-1.38	126	-39.9	-0.6575	competitive	0.0041	0.0011	0.65	0.52	0.1687	0.0328	0.2935	-0.0328	-0.348	849,634	59.7	3.83	389	76.2	0.4652	1.2	-0.62	571	-0.4092	0.3982	0.0575	0.8595	0.1431	0.1711	509,030	0.4344	-25.9	799,864	119,187	23.1	58	4.5	14.4	849,635	116	57.3	3.96	409	70.6	0.3982	3.6	-0.75	551	-0.3422	0.4087	0.1043	0.8174	0.1826	0.1565	68	60.94	2.14	0.3478	116	12.51	799	1,531	0.7059	7,059.17	0.66	15,242	17	0.0547	547.45	948.57	909.09	0.94	51.02	1.14	58.82	0.58	45.05	0.17	35.84	-5	0	0	0	-40.4	null	null	null	null	null	0.05	48,405	-0.026	-57.88	530,303	-0.675	-0.4	441,435	-0.556	-57.9	396,799	-0.497	-0.17	215,670	-0.253	-58.09	444,277	-0.561	0.09	-128	0.18	-57.86	-217,683	-0.14	0.03	141	0.021	-57.91	-212,080	-0.264	0.056	null	null	960	0.03	1	0.375	0.325	decelerating	0.03	0.23	1	1	15	64	0.494	0.501	0.502	0.35	0.315	329,426	350,498	348,784	18	397	decelerating	-0.3	null	63.08
VGZTABSX	Denny's Restaurant	Food and Drink	Restaurants	Restaurant	Restaurant, American restaurant, Breakfast restaurant, Diner	3652 Glenwood Dr, Eugene, OR 97403	3652 Glenwood Dr	Eugene	Oregon	Laurel Hill	Laurel Hill Valley	97,403	US	true	44.034099	-123.040293	America/Los_Angeles	(541) 34-***	2	OPERATIONAL	true	true	null	true	Eugene	Oregon	US	https	https://locations.dennys.com/or/eugene/247740	locations.dennys.com/or/eugene/247740	locations.dennys.com	com	10,004	1998-12-08	2027-12-07	Network Solutions, LLC	purchase_dataset@dennys.com	null	1	1	0	"Casual diner chain dishing up classic American comfort fare, including all-day breakfast favorites.(...TRUNCATED)	true	true	3.86	1,782	{"1": 219, "2": 144, "3": 328, "4": 553, "5": 969}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Braille menu, Cocktails, Coffee, Comfort food, Happy hour drinks, Hard liquor, Late-(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Quiet	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	4	2025-11-21	2026-02-15	159	73	24	159	159	73	73	https://www.instagram.com/shopdennys_	shopdennys_	https://www.facebook.com/dennys	dennys	https://twitter.com/dennysdiner	dennysdiner	null	null	null	null	null	null	null	null	null	null	null	null	15,728	0.03	null	0.03	0.03	0.03	1,919	null	null	null	null	null	null	null	null	https://dennys.com/location/dennys-7740/menu	null	null	2026-04-28T05:42:22.354945+00:00	18.9	0	0	6,973.4	272.2	145.0033	0.52	77.2	100	69.3	0.4082	null	0.9391	0.4822	0.4944	1	0.2337	0.2789	97	74.7	null	null	null	100	0	0	84.62	12.31	3.08	81.37	15.69	2.94	stable	improving	null	22.3	0.4447	29.9	5	65	102	-84.6	-80.4	-100	68.1	9.5	48	100	91.1	38	1	1,151	2	94	19,091	132	8,170	1,119,506	10,636	8,470	1	1	3	1	130	185	1	124	191	2	226	650	1,530	11,692	25,437	786,928	1,595,281	786,928	0.4963	0.0299	0.4165	-0.0299	0.5291	1	-0.067	-0.067	0.067	1.0126	0.4636	0.0339	0.3886	-0.0339	0.557	190	2	184	1	1	1	1	1	1	1	1	47.6	3.15	16	52.8	0.0691	20.5	0.71	1,766	16.5	0.3391	130	158	1	0.2989	0.1467	1	0.1413	0.2337	62.9	4.14	506	81.2	0.5514	5.2	-0.28	1,276	-11.9	-0.1432	124	155	2	0.3526	Market Leader	0.1895	0.9947	0.1789	0.2789	Average	62.6	4.05	541	78.4	Average	0.5157	5.5	-0.19	1,241	-9.1	-0.1075	3	185	191	8	8	concentrated	0.9829	0.64	0	100	0	0	3,906	1,099	competitive	0.0188	2.34	19	3.8	69	8.2	6,757	5,013	competitive	0.017	0.6	16.3	4.7	75.3	3.7	0.0282	0.4579	-0.0282	0.4877	221	222	164	200	1	0.2624	0.0995	1	0.0905	0.1855	66.3	4.33	561	83.4	0.5851	1.8	-0.47	1,221	-14.1	-0.1769	competitive	0.0142	1.91	12.2	5.9	75.1	6.8	0.4348	0.53	8.29	0.1137	0.6557	-0.1137	0.2899	278	279	258	277	13	0.0755	0.0072	0.9568	0.0072	0.0863	78.5	4.59	834	90.3	0.7136	-10.4	-0.73	948	-21	-0.3054	competitive	0.0076	0.0011	0.65	0.52	0.3194	0.0328	0.2935	-0.0328	0.6521	849,634	59.7	3.83	389	76.2	0.4652	8.4	0.03	1,393	-0.057	0.6204	0.206	0.9901	0.2905	0.3791	319,600	0.607	-6.9	671,182	8,410	23.1	58	4.5	14.4	849,635	534	58.7	4.33	323	80.2	0.509	9.4	-0.47	1,459	-0.1008	0.561	0.1201	1	0.1914	0.3058	234	59.04	17.5	0.469	534	12.51	799	1,531	0.7013	7,012.63	0.66	15,242	17	0.0547	547.1	9,660.95	3,333.33	3.52	54.05	2.9	52.36	2.01	45.05	0.58	35.84	0.3	0	0	0	-25.6	null	null	null	null	null	0.02	8,148	0.028	-72.07	659,102	-0.852	-0.41	464,033	-0.589	-71.78	492,086	-0.629	-0.17	201,794	-0.235	-71.78	551,337	-0.709	0.16	-272	0.375	-71.43	-89,127	-0.105	0.08	-2,216	0.209	-71.49	-85,264	-0.232	0.4082	null	null	1,782	0	0	0	0	decelerating	0.1	0.7	3	3	25	110	0.557	0.57	0.571	0.559	0.542	331,227	345,950	344,596	34	658	decelerating	-0.03	null	76.54
V77ZHRF8	PanezaNellie Breadstick Shoppe	Food and Drink	Restaurants	Pizza restaurant	Pizza restaurant	111 NE Starr St, Sublimity, OR 97385	111 NE Starr St	Sublimity	Oregon	null	null	97,385	US	true	44.831554	-122.79383	America/Los_Angeles	(503) 76-***	1	OPERATIONAL	true	true	null	true	Sublimity	Oregon	US	https	https://m.facebook.com/panezanellie-breadstick-shoppe-116764621710736	m.facebook.com/panezanellie-breadstick-shoppe-116764621710736	m.facebook.com	com	10,623	1997-03-29	2034-03-30	RegistrarSafe, LLC	null	null	0	0	0	null	true	false	4.93	696	{"1": 1, "2": 0, "3": 7, "4": 27, "5": 667}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great coffee, Great dessert, Great tea selection, Serves local specialty	Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible seating	Alcohol, Coffee, Comfort food, Quick bite, Small plates, Vegetarian options	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Cozy, Trendy	Family-friendly, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	true	true	purchase_dataset@	true	true	1	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	2026-04-28T03:28:25.580588+00:00	0	2.31	1.7	3,437.82	259.2	1.638	1.16	98.6	94.8	98.7	0.9502	null	0.995	0.9429	0.9227	1	1	1	99.8	96.1	null	null	null	100	0	0	95.65	0	4.35	94.79	1.04	4.17	stable	improving	null	3.7	0.0723	3.9	18	46	96	-21.7	-25	-100	78.2	49.5	8	60	99.1	38	2	1	2	2,293	2,324	3,477	175,346	142,633	238,278	188,534	2	1	2	2	1	24	5	2	6	1	1	2	4	11,692	25,437	786,928	1,595,281	786,928	0.92	0	0.481	0	0.514	0.7	0	0.992	0	0.003	0.9478	0.0435	0.3378	-0.0435	0.6572	5	1	23	1	1	2	1	1	0	1	1	77.9	4.36	1,020	86.3	0.608	0.3	0.57	-324	12.4	0.3422	1	1	5	1	1	0.8261	0.9565	1	66.4	4.15	388	78.6	0.5484	11.8	0.78	308	20.1	0.4018	2	1	1	0.8	Strong	1	1	1	1	Market Leader	67.4	4.34	245	83.1	Market Leader	0.5276	10.8	0.59	451	15.6	0.4226	2	24	6	139	139	concentrated	0.4056	0.32	0	0	100	0	3,193	2,101	competitive	0.0723	0.29	0	21.7	78.3	0	5,981	5,846	concentrated	0.3623	0.02	0	0	80	20	0	0.992	0	0.003	1	2	1	1	2	1	1	0	1	1	77.9	4.36	1,020	86.3	0.608	0.3	0.57	-324	12.4	0.3422	concentrated	0.4056	0.41	0	0	100	0	0.7	1.95	2.63	0.1403	0.7235	-0.1403	0.2715	187	188	162	2	134	0.139	0.9947	0.2888	0.9947	1	82.2	4.59	1,020	90.6	0.7802	-4	0.34	-324	8.1	0.17	competitive	0.0036	0.0007	0.97	0.36	0.4407	0.0328	0.2935	-0.0328	0.7015	849,634	59.7	3.83	389	76.2	0.4652	18.5	1.1	307	0.485	0.9235	0.8587	0.7776	0.9332	0.9756	63,291	0.8603	22.5	118,377	188,584	23.1	58	4.5	14.4	849,635	2	78.1	4.65	858	92.5	0.7791	0.1	0.28	-162	0.1711	1	1	0	1	1	1	90.94	6.73	1	2	3.37	2,967	1,221	0.3438	3,437.82	0.44	22,659	17	0.045	449.98	1,645.07	5,000	52.24	416.67	1,312.69	1,666.67	1,645.07	5,000	0.13	53.19	3	-0.01	9	-0.1	-5.6	null	null	null	null	null	0.01	-6,755	0.01	-73.05	-282,762	0.392	0.1	-120,964	0.185	-73.77	166,623	-0.195	0.08	-116,687	0.185	-73.81	243,457	-0.295	0	0	0	-73.9	-319,835	-0.602	0.07	-1,997	0.175	-73.44	-319,981	0.293	0.9502	null	null	696	0.2	6	0	0.909	stable	0.2	1.4	6	6	20	99	0.915	0.917	0.917	0	0.878	74,544	78,967	78,820	1	66	stable	-0.27	null	97.67
DVEQFYXG	The Salmonberry	Food and Drink	Restaurants	Restaurant	Restaurant, Cocktail bar, Oyster bar restaurant, Pizza restaurant, Seafood restaurant, Wine bar	380 Marine Dr, Wheeler, OR 97147	380 Marine Dr	Wheeler	Oregon	null	null	97,147	US	true	45.690645	-123.882042	America/Los_Angeles	(971) 40-***	2	null	true	true	null	true	Wheeler	Oregon	US	https	https://salmonberry.fun	salmonberry.fun	salmonberry.fun	fun	594	2024-09-12	2027-09-12	IONOS SE	null	null	0	0	0	null	true	false	4.45	441	{"1": 18, "2": 17, "3": 29, "4": 62, "5": 315}	Outdoor seating, Takeout, Dine-in	"Fast service, Fireplace, Great beer selection, Great cocktails, Great wine list, Serves local speci(...TRUNCATED)	Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Comfort food, Hard liquor, Healthy options, Organic dishes, Small plates,(...TRUNCATED)	Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Romantic, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Tourists, Transgender safespace	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs	false	true	purchase_dataset@	true	true	5	2024-05-21	2025-07-13	708	290	24	708	708	290	290	https://www.instagram.com/salmonberrygoods	salmonberrygoods	https://www.facebook.com/salmonberryfun	salmonberryfun	https://twitter.com/salmonberryfun	salmonberryfun	null	null	https://www.linkedin.com/company/salmon-berry	salmon-berry	null	null	null	null	null	null	null	null	12,224	9.7	null	null	null	4.79	392	null	null	null	null	null	null	null	null	null	null	null	2026-04-28T03:11:31.711568+00:00	57.46	0.07	0	4,474.45	730.6	9.5847	0.04	89	88.2	85.5	0.7298	null	0.6189	0.873	0.8702	0	0.6667	0.6667	80.9	93.5	null	null	null	100	0	0	100	0	0	95.12	4.88	0	stable	declining	null	-12.6	-0.2513	-13.5	3	9	41	-33.3	-70.7	-100	79	57.8	92	60	82.8	38	1	4	1	3,786	11,310	5,939	270,038	603,039	384,773	289,620	1	1	2	1	2	7	4	1	7	6	106	3	4	11,692	25,437	786,928	1,595,281	786,928	0.55	0	0.6169	0	0.002	0.7	0	1	0	-0.3811	0.5333	0	0.5004	0	0.1185	6	1	6	1	2	1	1	0	1	0	0	65	4.83	125	96	0.8996	14	-0.38	316	-10.5	-0.1698	2	6	4	0.8333	0.1667	0.5	0.1667	0.6667	68	4.66	563	91.9	0.5518	11	-0.21	-122	-6.4	0.178	1	5	6	1	Strong	0.3333	0.1667	0.3333	0.6667	Average	70.9	4.57	625	89.5	Average	0.599	8.1	-0.12	-184	-4	0.1308	2	7	7	100	100	concentrated	0.7792	0.32	0	0	100	0	3,500	2,489	concentrated	0.1154	0.08	0	16.7	66.7	16.7	7,430	5,062	concentrated	0.1053	0.02	0	0	100	0	0	0.7146	0	-0.0957	2	3	1	3	1	1	0	1	0	0	63.6	4.87	87	97	0.9184	15.4	-0.42	354	-11.5	-0.1886	concentrated	0.7171	1.48	0	0	100	0	0.7	0.14	30.14	0.1395	0.7221	-0.1395	-0.1032	188	189	156	159	166	0.1755	0.1596	0.1223	0.0745	0.1862	82.2	4.59	1,019	90.6	0.782	-3.2	-0.14	-578	-5.1	-0.0522	competitive	0.0023	0.0007	0.96	0.36	0.1548	0.0328	0.2935	-0.0328	0.3254	849,634	59.7	3.83	389	76.2	0.4652	19.3	0.62	52	0.2646	0.939	0.5803	0.6587	0.6336	0.7724	50,323	0.7473	9.3	349,361	289,515	23.1	58	4.5	14.4	849,635	2	72	4.64	283	90.8	0.8147	7	-0.19	158	-0.0849	1	0	1	0	0	1	90.33	-3.26	0	2	47.39	211	313	0.4123	4,123.22	0.44	22,539	17	0.0452	452.12	6,070.78	5,000	133.28	1,428.57	110.83	1,428.57	5,141.94	3,333.33	0.05	52.91	6.6	0	2	0.1	15	null	null	null	null	null	0.06	-99,640	0.149	-68	32,198	-0.032	0.08	-70,790	0.115	-67.97	211,270	-0.26	0.05	-7,828	0.035	-68.04	266,423	-0.333	0	0	0	-68	-207,241	0.258	0.1	-3,171	0.272	-67.97	-207,248	0.197	0.7298	null	null	441	0.07	2	0	0.618	accelerating	0.07	0.47	2	2	3	44	0.701	0.706	0.707	0	0.567	221,055	234,514	233,522	1	69	accelerating	0	null	87.07
YPSBSDHN	Celebrities Parkway Grill	Food and Drink	Restaurants	Grill	Grill, Bar & grill	20725 NE Sandy Blvd, Fairview, OR 97024	20725 NE Sandy Blvd	Fairview	Oregon	null	null	97,024	US	true	45.544095	-122.448325	America/Los_Angeles	(503) 66-***	2	OPERATIONAL	true	true	null	true	Fairview	Oregon	US	https	https://celebritiesred.com	celebritiesred.com	celebritiesred.com	com	264	2025-08-08	2026-08-08	NAMECHEAP INC	purchase_dataset@gmail.com	null	1	1	0	Old-school hangout serving pub grub in a low-key space with pool tables, karaoke & live music.	true	true	4.18	377	{"1": 18, "2": 21, "3": 40, "4": 96, "5": 203}	Delivery, Takeout, Dine-in	Fast service, Great beer selection, Great cocktails, Live music, Serves local specialty, Sports	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Late-night food, Quick bite, Small pla(...TRUNCATED)	Breakfast, Lunch, Dinner, Dessert, Table service	Bar onsite, Restroom	Casual, Cozy	Groups	null	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	4	2020-01-13	2020-01-13	2,298	2,298	12	2,298	2,298	2,298	2,298	https://www.instagram.com/celebsontheredcarpet	celebsontheredcarpet	null	null	https://twitter.com/theredherringtv	theredherringtv	null	null	https://www.linkedin.com/company/red-light-public-relations	red-light-public-relations	null	null	null	null	null	null	null	null	1,498	0.46	null	null	null	null	4,413	null	null	null	null	null	null	null	null	https://places.singleplatform.com/celebrities-parkway-grill/menu	null	null	2026-04-28T03:07:10.358646+00:00	2.88	0	0.3	3,046.38	381.9	18.4697	0.2	83.6	85.9	79	0.6113	null	null	0.0643	0.3195	1	0.4365	0.3926	null	66	null	null	null	null	null	null	50	37.5	12.5	63.64	27.27	9.09	stable	stable	null	null	null	null	0	8	11	-100	-100	null	66.6	9.5	48	100	66	38	2	30	7	502	16,071	6,757	20,535	898,338	433,706	22,074	2	1	2	1	104	127	80	127	136	107	193	3	43	1,773	25,437	80,647	1,595,281	80,647	0.1911	0.0444	0.5528	-0.0444	-0.5528	1	0	0	0	0	0.2992	0.098	0.444	-0.098	-0.444	135	1	126	1	1	1	1	1	1	1	1	45.8	3.64	15	78.6	0.411	20.8	0.54	362	0.4	0.2003	104	79	80	0.1825	0.381	0.373	0.373	0.4365	71	4.24	681	80	0.5905	-4.4	-0.06	-304	-1	0.0208	127	91	107	0.0667	Market Leader	0.3333	0.2148	0.3259	0.3926	Below Average	75.5	4.32	800	82.6	Emerging	0.6382	-8.9	-0.14	-423	-3.6	-0.0269	2	127	136	12	12	concentrated	0.9617	0.32	0	100	0	0	3,603	1,340	competitive	0.0044	1.6	0.8	3.2	88.1	7.9	7,725	5,054	competitive	0.0035	0.43	0.7	0	75.6	23.7	0.0627	0.2876	-0.0627	-0.2876	20	21	9	16	3	0.6	0.25	0.9	0.25	0.25	61.7	4.27	159	81.4	0.5962	4.9	-0.09	218	-2.4	0.0151	competitive	0.1063	2.18	5	25	70	0	0.585	0.34	11.84	0.1395	0.7229	-0.1395	-0.7229	188	189	188	188	170	0.0053	0.0053	0.1011	0.0053	0.0372	82.2	4.6	1,018	90.6	0.7807	-15.6	-0.42	-641	-11.6	-0.1694	competitive	0.002	0.0007	0.96	0.36	0.034	0.0505	0.335	-0.0505	-0.335	107,879	60.4	4.07	301	82	0.5754	6.2	0.11	76	0.0359	0.5598	0.2102	0.7196	0.2855	0.4303	47,164	0.5029	-3	84,479	30,181	25	58.9	4.1	12	107,880	4	68.6	4.31	472	82.3	0.6148	-2	-0.13	-95	-0.0035	0.3333	0	0.3333	0	0.3333	3	82.73	6.37	0.6667	4	19.19	521	1,137	0.3042	3,042.02	0.44	22,539	17	0.0451	451.48	9,249.34	5,000	0.19	78.74	0.12	73.53	112.91	476.19	0.04	52.91	2.8	0	0	0	0	null	null	null	null	null	0.02	14,969	0.019	-57.13	509,837	-0.645	0.12	-86,797	0.133	-56.73	88,124	-0.098	0.11	-94,615	0.143	-56.72	47,834	-0.049	0.06	-3	0.143	-56.8	-263,538	-0.053	0.06	-1,688	0.169	-56.91	-258,832	-0.133	0.6113	null	null	377	0	0	0	0	decelerating	0.1	0.7	3	3	8	11	0.467	0.48	0.482	0	0.667	472,210	495,264	493,433	1	2	stable	0.1	null	89.1
SYP4KBEB	Wichita Town Pub	Food and Drink	Restaurants	Bar & grill	Bar & grill, Bar, Karaoke, Pool hall, Pub, Sports bar	6106 SE King Rd, Milwaukie, OR 97222	6106 SE King Rd	Milwaukie	Oregon	Linwood	Linwood	97,222	US	true	45.447255	-122.59998	America/Los_Angeles	(503) 65-***	2	OPERATIONAL	true	true	null	true	Milwaukie	Oregon	US	https	https://wichitatownpub.shop	wichitatownpub.shop	wichitatownpub.shop	shop	null	null	null	null	null	null	0	0	0	null	true	false	4.14	1,088	{"1": 69, "2": 48, "3": 154, "4": 344, "5": 619}	Delivery, Takeout, Dine-in	"Bar games, Fast service, Great beer selection, Great cocktails, Great coffee, Karaoke, Sports, Triv(...TRUNCATED)	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Arcade games, Beer, Cocktails, Coffee, Comfort food, Food, Food at bar, Happy hour drinks,(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy	Groups	null	Credit cards, Debit cards, NFC mobile payments	null	true	true	purchase_dataset@	true	true	4	2025-07-10	2026-02-14	293	74	36	293	293	74	74	https://www.instagram.com/wichitatownpub	wichitatownpub	https://www.facebook.com/wichitapubsoregon	wichitapubsoregon	null	null	null	null	https://www.linkedin.com/in/michael-lee-2145688	michael-lee-2145688	null	null	null	null	null	null	null	null	144	0.83	null	0.69	0.81	0.83	87	null	null	null	null	null	null	null	null	null	null	null	2026-04-28T03:06:14.723044+00:00	0.61	0.25	0.8	20,112.53	943.4	56.8541	0.09	82.8	100	78.6	0.5915	null	0.7878	0.6779	0.6067	0.2	0.2448	0.071	89.4	80.3	null	null	null	90.91	9.09	0	88	12	0	84.06	14.49	1.45	stable	improving	null	9.1	0.1811	11.3	11	25	69	-12	-36.2	-100	70.9	32.8	60	60	88.8	38	7	126	9	685	16,535	923	57,063	929,339	70,280	61,552	7	2	6	1	122	144	19	154	156	39	201	89	203	11,692	25,437	786,928	1,595,281	786,928	0.2336	0.0966	0.6635	-0.0966	0.1286	0.68	0.0385	0.6014	-0.0385	0.1907	0.3825	0.0691	0.5162	-0.0691	0.2759	155	5	143	2	5	1	0.8	0.2	1	0.2	0.2	61.8	3.55	282	79.3	0.5695	9.1	0.59	806	-0.7	0.022	122	116	19	0.1538	0.1958	0.8741	0.2238	0.2448	75.6	4.41	670	85	0.6869	-4.7	-0.27	418	-6.4	-0.0954	154	155	39	0.0129	Strong	0.0065	0.7548	0.0065	0.071	Below Average	79.5	4.58	863	89.8	Below Average	0.7604	-8.6	-0.44	225	-11.2	-0.1689	6	144	156	227	16	concentrated	0.4357	1.59	20	0	60	20	3,374	1,440	competitive	0.0112	1.82	0	0	84.6	15.4	8,221	5,128	competitive	0.0081	0.49	1.3	0	45.2	53.5	0.1093	0.4234	-0.1093	0.3687	89	90	35	60	8	0.618	0.3371	0.9213	0.3371	0.382	66.5	4.17	488	80.5	0.5819	4.4	-0.03	600	-1.9	0.0096	competitive	0.0244	6.67	4.5	16.9	70.8	7.9	0.6247	0.16	28.02	0.1403	0.7221	-0.1403	0.07	187	188	186	187	77	0.0107	0.0053	0.5936	0.0053	0.0267	82.2	4.6	1,017	90.7	0.7821	-11.3	-0.46	71	-12.1	-0.1906	competitive	0.0057	0.0007	0.97	0.36	0.184	0.0328	0.2935	-0.0328	0.4986	849,634	59.7	3.83	389	76.2	0.4652	11.2	0.31	699	0.1263	0.7152	0.3431	0.9275	0.447	0.5748	239,153	0.6673	2.4	552,913	61,158	23.1	58	4.5	14.4	849,635	12	66	4.14	508	75.4	0.5355	4.9	0	580	0.056	0.5455	0.4545	1	0.5455	0.5455	6	77.81	8.97	0.5455	12	42.14	237	1,583	2.0585	20,584.78	0.44	22,659	17	0.0449	448.77	1,898.54	1,666.67	1.26	69.44	0.65	64.1	5.96	111.11	0.32	53.19	-5.3	0.01	8	0.2	-32.7	null	null	null	null	null	0.06	-61,750	0.106	-69.1	275,180	-0.353	0.07	-75,236	0.11	-68.65	-6,053	0.015	0.03	1,164	0.005	-68.44	-66,793	0.094	-0.04	9	-0.106	-68.87	-150,669	-0.159	-0.04	1,262	-0.09	-68.86	-147,424	-0.116	0.5915	null	null	1,088	0.07	2	0	0.695	decelerating	0.07	0.47	2	2	15	76	0.701	0.706	0.707	0	0.641	221,055	234,514	233,522	4	61	decelerating	-0.16	null	86.78

End of preview. Expand in Data Studio

The HHI Monopoly Index for Oregon, US

Free sample dataset from BeamStation

The HHI Monopoly Index for Oregon, US dataset captures businesses that hold near‑monopoly positions in their local markets. Each of the 260 weekly‑updated records identifies a firm that mathematically “owns” its area with a market share above 30 % and contributes more than 900 points to the Herfindahl‑Hirschman Index within a 1 kilometer radius. These are cash‑flow‑heavy, safe bets that competitors find difficult to dislodge. Analysts, investors, and economic researchers interested in market concentration, competitive dynamics, or regional business health can use the data to spot dominant players, assess entry barriers, or monitor shifts in local competition. The dataset is refreshed every week, ensuring the latest snapshot of Oregon’s high‑HHI entities is always available at https://beamstation.com/datasets/140644/.

Dataset Details

Field	Value
Full dataset	260 records
Sample size	26 records
Location	Oregon
Category	Restaurants
Updated	weekly
Format	CSV
Columns	beam_id, title, category_main_group, category_sub_group, category, categories, address, street, city, state, ... (498 total)

Column List

#	Column
1	`beam_id`
2	`title`
3	`category_main_group`
4	`category_sub_group`
5	`category`
6	`categories`
7	`address`
8	`street`
9	`city`
10	`state`
11	`borough`
12	`neighborhood`
13	`postal_code`
14	`country`
15	`address_verified`
16	`latitude`
17	`longitude`
18	`timezone`
19	`phone`
20	`price_level`
21	`business_status`
22	`has_open_hours`
23	`has_price`
24	`census_place`
25	`verified_census_city`
26	`beam_location_name`
27	`beam_state_code`
28	`beam_country_code`
29	`website_protocol`
30	`website`
31	`website_normalized`
32	`website_domain`
33	`website_domain_tld`
34	`website_domain_age`
35	`website_domain_registered`
36	`website_domain_expires`
37	`website_domain_registrar`
38	`emails_list`
39	`emails_list_website_domain`
40	`emails_count`
41	`emails_deliverable_count`
42	`emails_risky_count`
43	`description`
44	`has_about`
45	`has_description`
46	`rating`
47	`reviews_total_count`
48	`reviews_per_rating`
49	`service_options`
50	`highlights`
51	`popular_for`
52	`accessibility`
53	`offerings`
54	`dining_options`
55	`amenities`
56	`atmosphere`
57	`crowd`
58	`planning`
59	`payments`
60	`children`
61	`has_popular_times`
62	`has_website`
63	`has_email`
64	`has_social`
65	`has_phone`
66	`socials_count`
67	`first_social_post_date`
68	`last_social_post_date`
69	`first_social_post_days`
70	`last_social_post_days`
71	`social_post_count`
72	`first_social_post_days_min`
73	`first_social_post_days_max`
74	`last_social_post_days_min`
75	`last_social_post_days_max`
76	`social_profile_instagram`
77	`social_username_instagram`
78	`social_profile_facebook`
79	`social_username_facebook`
80	`social_profile_twitter`
81	`social_username_twitter`
82	`social_profile_tiktok`
83	`social_username_tiktok`
84	`social_profile_linkedin`
85	`social_username_linkedin`
86	`social_profile_youtube`
87	`social_username_youtube`
88	`social_profile_github`
89	`social_username_github`
90	`social_profile_snapchat`
91	`social_username_snapchat`
92	`social_profile_pinterest`
93	`social_username_pinterest`
94	`instagram_followers`
95	`instagram_engagement_rate`
96	`instagram_engagement_rate_1m`
97	`instagram_engagement_rate_3m`
98	`instagram_engagement_rate_6m`
99	`instagram_engagement_rate_12m`
100	`instagram_post_count`
101	`tiktok_followers`
102	`tiktok_video_count`
103	`tiktok_heart_count`
104	`tiktok_engagement_rate`
105	`tiktok_engagement_rate_1m`
106	`tiktok_engagement_rate_3m`
107	`tiktok_engagement_rate_6m`
108	`tiktok_engagement_rate_12m`
109	`menu_link`
110	`order_links`
111	`reservation_link`
112	`last_updated_at`
113	`beam_cross_social_market_penetration`
114	`beam_cross_velocity_quality`
115	`beam_cross_social_urgency`
116	`beam_cross_per_capita_engagement`
117	`beam_cross_market_saturation_lead`
118	`beam_cross_population_adjusted_rank`
119	`beam_cross_demand_gap_index`
120	`beam_rating_score`
121	`beam_review_confidence`
122	`beam_rating_health`
123	`sentiment_avg`
124	`sentiment_avg_30d`
125	`sentiment_avg_90d`
126	`sentiment_avg_180d`
127	`sentiment_avg_360d`
128	`sentiment_percentile_1km`
129	`sentiment_percentile_5km`
130	`sentiment_percentile_10km`
131	`sentiment_score_90d`
132	`sentiment_score_360d`
133	`sentiment_positive_pct_30d`
134	`sentiment_negative_pct_30d`
135	`sentiment_neutral_pct_30d`
136	`sentiment_positive_pct_90d`
137	`sentiment_negative_pct_90d`
138	`sentiment_neutral_pct_90d`
139	`sentiment_positive_pct_180d`
140	`sentiment_negative_pct_180d`
141	`sentiment_neutral_pct_180d`
142	`sentiment_positive_pct_360d`
143	`sentiment_negative_pct_360d`
144	`sentiment_neutral_pct_360d`
145	`sentiment_trend_30vs90d`
146	`sentiment_trend_90vs360d`
147	`sentiment_diff_30vs90d`
148	`sentiment_change_360d`
149	`sentiment_diff_90vs360d`
150	`sentiment_change_pct_360d`
151	`reviews_count_30d`
152	`reviews_count_90d`
153	`reviews_count_180d`
154	`reviews_count_360d`
155	`review_growth_pct_180d`
156	`review_growth_pct_360d`
157	`review_growth_pct_90d`
158	`beam_score_overall`
159	`beam_popularity_percentile`
160	`beam_social_presence`
161	`beam_data_completeness`
162	`beam_price_value`
163	`beam_data_freshness`
164	`beam_rank_city_category`
165	`beam_rank_city_overall`
166	`beam_rank_city_reviews`
167	`beam_rank_state_category`
168	`beam_rank_state_overall`
169	`beam_rank_state_reviews`
170	`beam_rank_country_category`
171	`beam_rank_country_overall`
172	`beam_rank_country_reviews`
173	`beam_rank_place_global_category`
174	`beam_rank_category`
175	`beam_rank_competition_1km_category`
176	`beam_rank_competition_1km_total`
177	`beam_rank_competition_1km_reviews`
178	`beam_rank_competition_5km_category`
179	`beam_rank_competition_5km_total`
180	`beam_rank_competition_5km_reviews`
181	`beam_rank_competition_10km_category`
182	`beam_rank_competition_10km_total`
183	`beam_rank_competition_10km_reviews`
184	`beam_export_rank`
185	`total_city_category`
186	`total_city`
187	`total_state_category`
188	`total_state`
189	`total_country_category`
190	`total_country`
191	`total_category_global`
192	`beam_competitors_10km_competitive_strength`
193	`beam_competitors_10km_competitor_avg_sentiment_30d`
194	`beam_competitors_10km_competitor_avg_sentiment_90d`
195	`beam_competitors_10km_sentiment_diff_30d`
196	`beam_competitors_10km_sentiment_diff_90d`
197	`beam_competitors_1km_competitive_strength`
198	`beam_competitors_1km_competitor_avg_sentiment_30d`
199	`beam_competitors_1km_competitor_avg_sentiment_90d`
200	`beam_competitors_1km_sentiment_diff_30d`
201	`beam_competitors_1km_sentiment_diff_90d`
202	`beam_competitors_5km_competitive_strength`
203	`beam_competitors_5km_competitor_avg_sentiment_30d`
204	`beam_competitors_5km_competitor_avg_sentiment_90d`
205	`beam_competitors_5km_sentiment_diff_30d`
206	`beam_competitors_5km_sentiment_diff_90d`
207	`beam_competitors_10km_competitor_count`
208	`beam_competitors_1km_competitor_count`
209	`beam_competitors_5km_competitor_count`
210	`beam_competitors_1km_rank_by_score`
211	`beam_competitors_1km_rank_by_rating`
212	`beam_competitors_1km_rank_by_reviews`
213	`beam_competitors_1km_score_percentile`
214	`beam_competitors_1km_rating_percentile`
215	`beam_competitors_1km_reviews_percentile`
216	`beam_competitors_1km_health_percentile`
217	`beam_competitors_1km_sentiment_percentile`
218	`beam_competitors_1km_competitor_avg_score`
219	`beam_competitors_1km_competitor_avg_rating`
220	`beam_competitors_1km_competitor_avg_reviews`
221	`beam_competitors_1km_competitor_avg_health`
222	`beam_competitors_1km_competitor_avg_sentiment`
223	`beam_competitors_1km_score_diff`
224	`beam_competitors_1km_rating_diff`
225	`beam_competitors_1km_reviews_diff`
226	`beam_competitors_1km_health_diff`
227	`beam_competitors_1km_sentiment_diff`
228	`beam_competitors_5km_rank_by_score`
229	`beam_competitors_5km_rank_by_rating`
230	`beam_competitors_5km_rank_by_reviews`
231	`beam_competitors_5km_score_percentile`
232	`beam_competitors_5km_rating_percentile`
233	`beam_competitors_5km_reviews_percentile`
234	`beam_competitors_5km_health_percentile`
235	`beam_competitors_5km_sentiment_percentile`
236	`beam_competitors_5km_competitor_avg_score`
237	`beam_competitors_5km_competitor_avg_rating`
238	`beam_competitors_5km_competitor_avg_reviews`
239	`beam_competitors_5km_competitor_avg_health`
240	`beam_competitors_5km_competitor_avg_sentiment`
241	`beam_competitors_5km_score_diff`
242	`beam_competitors_5km_rating_diff`
243	`beam_competitors_5km_reviews_diff`
244	`beam_competitors_5km_health_diff`
245	`beam_competitors_5km_sentiment_diff`
246	`beam_competitors_10km_rank_by_score`
247	`beam_competitors_10km_rank_by_rating`
248	`beam_competitors_10km_rank_by_reviews`
249	`beam_competitors_10km_score_percentile`
250	`beam_competitors_1km_competitive_tier`
251	`beam_competitors_10km_rating_percentile`
252	`beam_competitors_10km_reviews_percentile`
253	`beam_competitors_10km_health_percentile`
254	`beam_competitors_10km_sentiment_percentile`
255	`beam_competitors_5km_competitive_tier`
256	`beam_competitors_10km_competitor_avg_score`
257	`beam_competitors_10km_competitor_avg_rating`
258	`beam_competitors_10km_competitor_avg_reviews`
259	`beam_competitors_10km_competitor_avg_health`
260	`beam_competitors_10km_competitive_tier`
261	`beam_competitors_10km_competitor_avg_sentiment`
262	`beam_competitors_10km_score_diff`
263	`beam_competitors_10km_rating_diff`
264	`beam_competitors_10km_reviews_diff`
265	`beam_competitors_10km_health_diff`
266	`beam_competitors_10km_sentiment_diff`
267	`beam_competitors_1km_total_in_radius`
268	`beam_competitors_5km_total_in_radius`
269	`beam_competitors_10km_total_in_radius`
270	`beam_competitors_1km_avg_distance_m`
271	`beam_competitors_1km_closest_competitor_m`
272	`beam_competitors_1km_market_type`
273	`beam_competitors_1km_review_share`
274	`beam_competitors_1km_density_per_sqkm`
275	`beam_competitors_1km_tier_below_40`
276	`beam_competitors_1km_tier_40_59`
277	`beam_competitors_1km_tier_60_79`
278	`beam_competitors_1km_tier_80_100`
279	`beam_competitors_5km_avg_distance_m`
280	`beam_competitors_5km_closest_competitor_m`
281	`beam_competitors_5km_market_type`
282	`beam_competitors_5km_review_share`
283	`beam_competitors_5km_density_per_sqkm`
284	`beam_competitors_5km_tier_below_40`
285	`beam_competitors_5km_tier_40_59`
286	`beam_competitors_5km_tier_60_79`
287	`beam_competitors_5km_tier_80_100`
288	`beam_competitors_10km_avg_distance_m`
289	`beam_competitors_10km_closest_competitor_m`
290	`beam_competitors_10km_market_type`
291	`beam_competitors_10km_review_share`
292	`beam_competitors_10km_density_per_sqkm`
293	`beam_competitors_10km_tier_below_40`
294	`beam_competitors_10km_tier_40_59`
295	`beam_competitors_10km_tier_60_79`
296	`beam_competitors_10km_tier_80_100`
297	`beam_competitors_city_competitor_avg_sentiment_30d`
298	`beam_competitors_city_competitor_avg_sentiment_90d`
299	`beam_competitors_city_sentiment_diff_30d`
300	`beam_competitors_city_sentiment_diff_90d`
301	`beam_competitors_city_competitor_count`
302	`beam_competitors_city_total_in_city`
303	`beam_competitors_city_rank_by_score`
304	`beam_competitors_city_rank_by_rating`
305	`beam_competitors_city_rank_by_reviews`
306	`beam_competitors_city_score_percentile`
307	`beam_competitors_city_rating_percentile`
308	`beam_competitors_city_reviews_percentile`
309	`beam_competitors_city_health_percentile`
310	`beam_competitors_city_sentiment_percentile`
311	`beam_competitors_city_competitor_avg_score`
312	`beam_competitors_city_competitor_avg_rating`
313	`beam_competitors_city_competitor_avg_reviews`
314	`beam_competitors_city_competitor_avg_health`
315	`beam_competitors_city_competitor_avg_sentiment`
316	`beam_competitors_city_score_diff`
317	`beam_competitors_city_rating_diff`
318	`beam_competitors_city_reviews_diff`
319	`beam_competitors_city_health_diff`
320	`beam_competitors_city_sentiment_diff`
321	`beam_competitors_city_market_type`
322	`beam_competitors_city_review_share`
323	`beam_competitors_city_density_per_sqkm`
324	`beam_competitors_city_tier_below_40`
325	`beam_competitors_city_tier_40_59`
326	`beam_competitors_city_tier_60_79`
327	`beam_competitors_city_tier_80_100`
328	`beam_competitors_city_competitive_strength`
329	`beam_competitors_city_underserved_score`
330	`beam_competitors_city_competition_intensity`
331	`beam_competitors_state_competitor_avg_sentiment_30d`
332	`beam_competitors_state_competitor_avg_sentiment_90d`
333	`beam_competitors_state_sentiment_diff_30d`
334	`beam_competitors_state_sentiment_diff_90d`
335	`beam_competitors_state_competitor_count`
336	`beam_competitors_state_total_in_state`
337	`beam_competitors_state_rank_by_score`
338	`beam_competitors_state_rank_by_rating`
339	`beam_competitors_state_rank_by_reviews`
340	`beam_competitors_state_score_percentile`
341	`beam_competitors_state_rating_percentile`
342	`beam_competitors_state_reviews_percentile`
343	`beam_competitors_state_health_percentile`
344	`beam_competitors_state_sentiment_percentile`
345	`beam_competitors_state_competitor_avg_score`
346	`beam_competitors_state_competitor_avg_rating`
347	`beam_competitors_state_competitor_avg_reviews`
348	`beam_competitors_state_competitor_avg_health`
349	`beam_competitors_state_competitor_avg_sentiment`
350	`beam_competitors_state_score_diff`
351	`beam_competitors_state_rating_diff`
352	`beam_competitors_state_reviews_diff`
353	`beam_competitors_state_health_diff`
354	`beam_competitors_state_sentiment_diff`
355	`beam_competitors_state_market_type`
356	`beam_competitors_state_review_share`
357	`beam_competitors_state_density_per_sqkm`
358	`beam_competitors_state_underserved_score`
359	`beam_competitors_state_competition_intensity`
360	`beam_competitors_state_competitive_strength`
361	`beam_competitors_country_competitor_avg_sentiment_30d`
362	`beam_competitors_country_competitor_avg_sentiment_90d`
363	`beam_competitors_country_sentiment_diff_30d`
364	`beam_competitors_country_sentiment_diff_90d`
365	`beam_competitors_country_competitor_count`
366	`beam_competitors_country_competitor_avg_score`
367	`beam_competitors_country_competitor_avg_rating`
368	`beam_competitors_country_competitor_avg_reviews`
369	`beam_competitors_country_competitor_avg_health`
370	`beam_competitors_country_competitor_avg_sentiment`
371	`beam_competitors_country_score_diff`
372	`beam_competitors_country_rating_diff`
373	`beam_competitors_country_reviews_diff`
374	`beam_competitors_country_sentiment_diff`
375	`beam_competitors_country_score_percentile`
376	`beam_competitors_country_rating_percentile`
377	`beam_competitors_country_reviews_percentile`
378	`beam_competitors_country_health_percentile`
379	`beam_competitors_country_sentiment_percentile`
380	`beam_competitors_country_rank_by_score`
381	`beam_competitors_country_competitive_strength`
382	`beam_competitors_country_health_diff`
383	`beam_competitors_country_rank_by_rating`
384	`beam_competitors_country_rank_by_reviews`
385	`beam_competitors_country_tier_40_59`
386	`beam_competitors_country_tier_60_79`
387	`beam_competitors_country_tier_80_100`
388	`beam_competitors_country_tier_below_40`
389	`beam_competitors_country_total_in_country`
390	`beam_competitors_city_siblings_competitor_count`
391	`beam_competitors_city_siblings_competitor_avg_score`
392	`beam_competitors_city_siblings_competitor_avg_rating`
393	`beam_competitors_city_siblings_competitor_avg_reviews`
394	`beam_competitors_city_siblings_competitor_avg_health`
395	`beam_competitors_city_siblings_competitor_avg_sentiment`
396	`beam_competitors_city_siblings_score_diff`
397	`beam_competitors_city_siblings_rating_diff`
398	`beam_competitors_city_siblings_reviews_diff`
399	`beam_competitors_city_siblings_sentiment_diff`
400	`beam_competitors_city_siblings_score_percentile`
401	`beam_competitors_city_siblings_rating_percentile`
402	`beam_competitors_city_siblings_reviews_percentile`
403	`beam_competitors_city_siblings_health_percentile`
404	`beam_competitors_city_siblings_sentiment_percentile`
405	`beam_competitors_city_siblings_rank_by_score`
406	`beam_competitors_city_siblings_competitor_avg_recommend_pct`
407	`beam_competitors_city_siblings_recommend_pct_diff`
408	`beam_competitors_city_siblings_recommend_pct_percentile`
409	`beam_competitors_city_siblings_total_siblings`
410	`beam_competitors_city_businesses_per_10k_pop`
411	`beam_competitors_city_population_per_business`
412	`beam_competitors_city_population_density`
413	`beam_competitors_city_reviews_per_capita`
414	`beam_competitors_city_reviews_per_10k_pop`
415	`beam_competitors_state_businesses_per_10k_pop`
416	`beam_competitors_state_population_per_business`
417	`beam_competitors_state_population_density`
418	`beam_competitors_state_reviews_per_capita`
419	`beam_competitors_state_reviews_per_10k_pop`
420	`beam_competitors_1km_hhi_contribution`
421	`beam_competitors_1km_hhi_minimum`
422	`beam_competitors_5km_hhi_contribution`
423	`beam_competitors_5km_hhi_minimum`
424	`beam_competitors_10km_hhi_contribution`
425	`beam_competitors_10km_hhi_minimum`
426	`beam_competitors_city_hhi_contribution`
427	`beam_competitors_city_hhi_minimum`
428	`beam_competitors_state_hhi_contribution`
429	`beam_competitors_state_hhi_minimum`
430	`beam_trends_score_30d_beam_score_overall`
431	`beam_trends_score_30d_rating`
432	`beam_trends_score_30d_review_count`
433	`beam_trends_score_30d_beam_rating_health`
434	`beam_trends_score_30d_beam_popularity_percentile`
435	`beam_trends_score_90d_beam_score_overall`
436	`beam_trends_score_90d_rating`
437	`beam_trends_score_90d_review_count`
438	`beam_trends_score_90d_beam_rating_health`
439	`beam_trends_score_90d_beam_popularity_percentile`
440	`beam_trends_competitive_1km_30d_strength_change`
441	`beam_trends_competitive_1km_30d_rank_change`
442	`beam_trends_competitive_1km_30d_percentile_change`
443	`beam_trends_competitive_1km_90d_strength_change`
444	`beam_trends_competitive_1km_90d_rank_change`
445	`beam_trends_competitive_1km_90d_percentile_change`
446	`beam_trends_competitive_5km_30d_strength_change`
447	`beam_trends_competitive_5km_30d_rank_change`
448	`beam_trends_competitive_5km_30d_percentile_change`
449	`beam_trends_competitive_5km_90d_strength_change`
450	`beam_trends_competitive_5km_90d_rank_change`
451	`beam_trends_competitive_5km_90d_percentile_change`
452	`beam_trends_competitive_10km_30d_strength_change`
453	`beam_trends_competitive_10km_30d_rank_change`
454	`beam_trends_competitive_10km_30d_percentile_change`
455	`beam_trends_competitive_10km_90d_strength_change`
456	`beam_trends_competitive_10km_90d_rank_change`
457	`beam_trends_competitive_10km_90d_percentile_change`
458	`beam_trends_competitive_city_30d_strength_change`
459	`beam_trends_competitive_city_30d_rank_change`
460	`beam_trends_competitive_city_30d_percentile_change`
461	`beam_trends_competitive_city_90d_strength_change`
462	`beam_trends_competitive_city_90d_rank_change`
463	`beam_trends_competitive_city_90d_percentile_change`
464	`beam_trends_competitive_state_30d_strength_change`
465	`beam_trends_competitive_state_30d_rank_change`
466	`beam_trends_competitive_state_30d_percentile_change`
467	`beam_trends_competitive_state_90d_strength_change`
468	`beam_trends_competitive_state_90d_rank_change`
469	`beam_trends_competitive_state_90d_percentile_change`
470	`beam_trends_sentiment_current_sentiment`
471	`beam_trends_sentiment_positive_ratio`
472	`beam_trends_sentiment_negative_ratio`
473	`beam_trends_sentiment_review_count`
474	`beam_trends_velocity_reviews_per_day`
475	`beam_trends_velocity_reviews_per_month`
476	`beam_trends_velocity_percentile_city`
477	`beam_trends_velocity_percentile_state`
478	`beam_trends_velocity_trend`
479	`beam_velocity_reviews_per_day`
480	`beam_velocity_reviews_per_week`
481	`beam_velocity_reviews_per_month`
482	`beam_velocity_reviews_last_30d`
483	`beam_velocity_reviews_last_90d`
484	`beam_velocity_reviews_last_365d`
485	`beam_velocity_percentile_1km`
486	`beam_velocity_percentile_5km`
487	`beam_velocity_percentile_10km`
488	`beam_velocity_percentile_city`
489	`beam_velocity_percentile_state`
490	`beam_velocity_rank_1km`
491	`beam_velocity_rank_5km`
492	`beam_velocity_rank_10km`
493	`beam_velocity_rank_city`
494	`beam_velocity_rank_state`
495	`beam_velocity_trend`
496	`beam_velocity_change_30d`
497	`beam_velocity_change_90d`
498	`beam_trends_sentiment_recommend_pct`

Usage

from datasets import load_dataset
ds = load_dataset("beamstation/the-hhi-monopoly-index-for-oregon-us-140644")

Get the Full Dataset

This is a free sample with masked email and phone data. The full dataset with 260 records and unmasked contact data is available at:

The HHI Monopoly Index for Oregon, US on BeamStation

License

This sample is provided for evaluation purposes under the BeamStation Terms of Service.

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