Datasets:

beamstation
/

the-hhi-monopoly-index-for-oregon-us-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 string	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 string	social_username_tiktok string	social_profile_linkedin string	social_username_linkedin string	social_profile_youtube string	social_username_youtube string	social_profile_github float64	social_username_github float64	social_profile_snapchat string	social_username_snapchat string	social_profile_pinterest string	social_username_pinterest string	instagram_followers float64	instagram_engagement_rate float64	instagram_engagement_rate_1m float64	instagram_engagement_rate_3m float64	instagram_engagement_rate_6m float64	instagram_engagement_rate_12m float64	instagram_post_count float64	tiktok_followers float64	tiktok_video_count float64	tiktok_heart_count float64	tiktok_engagement_rate float64	tiktok_engagement_rate_1m float64	tiktok_engagement_rate_3m float64	tiktok_engagement_rate_6m float64	tiktok_engagement_rate_12m float64	menu_link string	order_links string	reservation_link string	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 float64	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 float64	sentiment_negative_pct_30d float64	sentiment_neutral_pct_30d float64	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 float64	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 float64	beam_rank_competition_5km_total float64	beam_rank_competition_5km_reviews float64	beam_rank_competition_10km_category float64	beam_rank_competition_10km_total float64	beam_rank_competition_10km_reviews float64	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 float64	beam_competitors_1km_competitor_count int64	beam_competitors_5km_competitor_count float64	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 float64	beam_competitors_5km_rank_by_rating float64	beam_competitors_5km_rank_by_reviews float64	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 float64	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 float64	beam_competitors_5km_health_diff float64	beam_competitors_5km_sentiment_diff float64	beam_competitors_10km_rank_by_score float64	beam_competitors_10km_rank_by_rating float64	beam_competitors_10km_rank_by_reviews float64	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 float64	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 float64	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 float64	beam_competitors_10km_total_in_radius float64	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_5km_avg_distance_m float64	beam_competitors_5km_closest_competitor_m float64	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 float64	beam_competitors_10km_closest_competitor_m float64	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 float64	beam_competitors_city_total_in_city float64	beam_competitors_city_rank_by_score float64	beam_competitors_city_rank_by_rating float64	beam_competitors_city_rank_by_reviews float64	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 float64	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 float64	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_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_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 float64	beam_competitors_city_population_density float64	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 float64	beam_trends_score_90d_rating float64	beam_trends_score_90d_review_count float64	beam_trends_score_90d_beam_rating_health float64	beam_trends_score_90d_beam_popularity_percentile float64	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 float64	beam_trends_sentiment_negative_ratio float64	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 float64	beam_velocity_rank_10km float64	beam_velocity_rank_city int64	beam_velocity_rank_state int64	beam_velocity_trend string	beam_velocity_change_30d float64	beam_velocity_change_90d float64	beam_trends_sentiment_recommend_pct float64
5Q4JUMQA	Tangent Inn	Food and Drink	Restaurants	Bar & grill	Bar & grill	32994 OR-99E, Tangent, OR 97389	32994 OR-99E	Tangent	Oregon	null	null	97,389	US	true	44.541441	-123.110379	America/Los_Angeles	(541) 24-***	2	OPERATIONAL	true	true	null	true	Tangent	Oregon	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	4.44	503	{"1": 14, "2": 16, "3": 34, "4": 108, "5": 329}	Outdoor seating, Takeout, Dine-in	Bar games, Fast service, Great beer selection, Karaoke, Live music, Live performances, Sports	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Food, Food at bar, Happy hour drinks, Happy hour fo(...TRUNCATED)	Breakfast, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Historic	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	false	purchase_dataset@	false	true	0	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	https://places.singleplatform.com/tangent-inn/menu	null	null	2026-04-07T23:54:38.361824+00:00	0	0.07	1.6	4,126.73	1,369.7	31.746	0.08	88.8	90.1	87.3	0.7427	null	0.8664	0.8664	0.8998	0.9992	0.0079	0.0668	93.3	95	null	null	null	100	0	0	100	0	0	100	0	0	stable	stable	null	-1.7	-0.0334	-1.8	3	3	4	100	200	-100	59.3	9.5	0	17	93.2	46	1	3	3	3,052	11,025	5,067	229,882	587,601	338,039	246,237	1	7,551	2	739,309	639,110	3	722,326	685,740	42	667,239	102	4	9	10,836	23,172	734,279	1,460,619	734,279	0.2572	0.0272	0.1958	-0.0272	0.6706	0.6983	0	1	0	-0.1336	0.2651	0	0.4251	0	0.4413	41	1	2	7,551	1,626	739,309	0.9896	0.9978	0.0103	0.9986	0.9992	56.5	3.64	11	72.7	0.9545	-23.4	-2.99	490	-59.7	-0.2118	639,110	276,764	722,326	0.154	0.6307	0.0477	0.988	0.0079	40.9	1.09	252	43.9	0.1993	-7.8	-0.44	249	-30.9	0.5434	685,740	274,235	667,239	0.0858	Strong	0.6311	0.1118	0.8375	0.0668	Below Average	39.2	1.13	377	28.5	Below Average	0.4086	-6.1	-0.48	124	-15.5	0.3341	2	3	42	203	203	concentrated	0.9785	0.32	0	100	0	2,909	2,041	concentrated	0.4985	0.03	50	50	0	0	8,754	5,036	competitive	0.0314	0.13	48.8	46.3	4.9	0	0	0.6167	0	0.2497	3	4	3	4	2	0.3333	0	0.6667	0	0.6667	46.1	1.94	172	53.5	0.451	-13	-1.29	329	-40.5	0.2917	concentrated	0.4931	0.31	33.3	66.7	0	0.3333	0.17	11.23	0.1422	0.6238	-0.1422	0.2426	100	101	8,580	5,260	5,079	0.2918	0.5666	0.5819	0.5725	0.7213	54.4	1.33	2,087	18.9	0.7622	-21.3	-0.68	-1,586	-5.9	-0.0195	competitive	0.0024	0.0004	1.07	0.13	0.4612	0.059	0.2307	-0.059	0.6357	791,801	41.1	0.94	531	20.4	0.4595	-8	-0.29	-30	0.2832	0.2942	0.5805	0.6842	0.5896	0.7972	557,316	0.4971	-7.4	331,635	249,690	44.5	8.8	46.7	791,802	3	47.2	4.16	334	33.7	0.3804	6.4	0.47	169	0.3644	0.5	0.5	1	0	1	2	57.27	35.94	1	3	24.37	410	126	0.4184	4,183.59	0.24	42,373	17	0.0493	492.65	9,574.93	5,000	2,485.1	3,333.33	9.86	238.1	2,431.58	2,500	0.06	99.01	-35.5	-3.79	-1	-74.3	-48.3	null	null	null	null	null	0.04	-79,061	0.11	0.7	7,551	0.99	0.25	-106,904	0.151	0.27	639,110	0.154	0.21	-33,418	0.056	0.26	685,740	0.086	-0.2	0	0	0.33	3	0.333	-0.12	3,008	-0.233	0.46	8,580	0.292	0.7427	null	null	503	0	0	0	0	decelerating	0.07	0.47	2	2	5	23	0.439	0.452	0.454	0	0.344	417,455	437,538	435,431	1	143	stable	0	null	92.83
HLDGC7KK	McDonald's	Food and Drink	Restaurants	Fast food restaurant	"Fast food restaurant, Breakfast restaurant, Coffee shop, Hamburger restaurant, Restaurant, Sandwich(...TRUNCATED)	225 NE Norton Ln, McMinnville, OR 97128	225 NE Norton Ln	McMinnville	Oregon	null	null	97,128	US	true	45.201854	-123.167063	America/Los_Angeles	(503) 47-***	1	OPERATIONAL	true	true	null	true	McMinnville	Oregon	US	https	https://mcdonalds.com/us/en-us/location/or/mcminnville/225-ne-norton-ln/12714.html	mcdonalds.com/us/en-us/location/or/mcminnville/225-ne-norton-ln/12714.html	mcdonalds.com	com	11,590	1994-07-12	2026-07-11	CSC Corporate Domains, Inc.	"purchase_dataset@gmail.com, purchase_dataset@yahoo.com.tw, purchase_dataset@gmail.com, purchase_dat(...TRUNCATED)	realdomain	33	26	7	Classic, long-running fast-food chain known for its burgers & fries.	true	true	3.4	1,149	{"1": 233, "2": 192, "3": 423, "4": 412, "5": 542}	Curbside pickup, No-contact delivery, Delivery, Drive-through, Onsite services, Takeout, Dine-in	Great coffee	Breakfast, Lunch, Dinner, Solo dining	Wheelchair accessible entrance, Wheelchair accessible parking lot	Coffee, Late-night food, Quick bite	Breakfast, Lunch, Dinner, Dessert, Seating	Wi-Fi	Casual	Family-friendly, Groups	null	Debit cards, NFC mobile payments	Good for kids birthday, Has changing table(s), High chairs, Kids' menu	true	true	purchase_dataset@	true	true	6	2025-09-02	2026-03-04	218	35	101	218	218	35	35	https://www.instagram.com/mcdonalds	mcdonalds	https://www.facebook.com/mcdonalds	mcdonalds	https://twitter.com/mcdonalds	mcdonalds	https://www.tiktok.com/@mcdonalds	mcdonalds	null	null	null	null	null	null	https://www.snapchat.com/add/studyinjapanese	studyinjapanese	https://www.pinterest.com/mcdonalds	mcdonalds	5,513,935	0.37	null	0.22	0.37	0.37	493	5,300,000	347	37,200,000	4.88	null	2.18	2.32	4.88	https://mcdonalds.com/us/en-us/full-menu.html	null	null	2026-04-07T23:39:37.233109+00:00	16,075.61	0.15	0	12,555.71	339.5	80.6065	0.14	68	100	52.7	0.1153	null	-0.3529	-0.2646	0.0216	0.7476	0.4693	0.7493	32.4	51.1	null	null	null	40	60	0	41.18	58.82	0	52.78	44.44	2.78	stable	declining	null	-18.7	-0.3745	-36.6	10	17	36	17.6	11.1	-100	62.2	27.4	100	83	40.1	46	2	278	2	304	20,116	405	28,526	1,231,023	35,553	30,493	2	3,834	3	274,881	240,698	101	640,291	500,692	17	726,271	269	114	327	10,836	23,172	734,279	1,460,619	734,279	0.4226	0.0534	0.3969	-0.0534	-0.7498	0.8841	0	0.4929	0	-0.8458	0.5995	0.0158	0.2335	-0.0158	-0.5864	16	2	100	3,834	7,588	274,881	0.9947	0.9896	0.6312	0.9924	0.7476	59.4	2.76	617	54.3	0.5658	-5	-0.25	1,181	-30.6	-0.4505	240,698	43,420	640,291	0.6764	0.9411	0.1554	0.9761	0.4693	49.7	2.17	433	39.4	0.5546	4.7	0.34	1,365	-15.7	-0.4393	500,692	46,405	726,271	0.3286	Market Leader	0.9369	0.0335	0.9835	0.7493	Average	47.2	2.3	151	44.1	Average	0.6901	7.2	0.21	1,647	-20.4	-0.5748	3	101	17	483	232	concentrated	0.593	0.64	0	50	50	2,757	1,997	competitive	0.0399	1.27	19	66	15	0	6,672	5,024	competitive	0.426	0.05	31.3	56.3	12.5	0	0.0158	0.2396	-0.0158	-0.5925	100	101	44	58	1	0.6641	0.5469	1	0.2578	0.1016	50.6	2.25	450	40.8	0.5592	3.8	0.26	1,348	-17.1	-0.4439	competitive	0.0384	3.65	16	68	16	0.7297	0.15	14.74	0.1422	0.6251	-0.1422	-0.978	100	101	1,989	3,419	604	0.8354	0.7176	0.9503	0.6376	0.1275	54.5	1.33	2,052	18.7	0.7622	-0.1	1.18	-254	5	-0.6469	competitive	0.0087	0.0004	1.07	0.13	0.8345	0.059	0.2307	-0.059	-0.5836	791,801	41.1	0.94	531	20.4	0.4595	13.3	1.57	1,267	-0.3442	0.8438	0.7245	0.9374	0.631	0.1954	122,500	0.8361	3.3	217,259	49,556	44.5	8.8	46.7	791,802	10	61.3	3.48	678	28.2	0.2424	0.6	-0.23	471	-0.1645	0.4444	0.6667	0.8889	0.8889	0.3333	6	70.44	-8.01	0.3333	10	29.14	343	1,253	1.3116	13,116.35	0.24	42,373	17	0.0484	484.22	3,516.58	3,333.33	15.91	99.01	1,814.47	588.24	14.75	99.01	0.75	99.01	-14.3	-0.88	660	-28.8	-24.8	null	null	null	null	null	-0.04	-34,235	0.047	0.88	3,834	0.995	0.28	-290,195	0.39	0.6	240,698	0.676	0.02	-62,282	0.09	0.42	500,692	0.329	0.19	-14	0.109	0.73	44	0.664	0.31	-3,583	0.31	0.83	1,989	0.835	0.1153	null	null	1,149	0.03	1	0.118	0.351	decelerating	0.03	0.23	1	1	11	37	0.507	0.515	0.517	0.118	0.351	253,363	266,224	265,236	9	238	decelerating	-0.07	null	58.02
389V6862	Jaspers Café	Food and Drink	Restaurants	Hamburger restaurant	Hamburger restaurant, Cafe	2739 N Pacific Hwy, Medford, OR 97501	2739 N Pacific Hwy	Medford	Oregon	null	null	97,501	US	true	42.34981	-122.893422	America/Los_Angeles	(541) 77-***	2	OPERATIONAL	true	true	null	true	Medford	Oregon	US	https	https://jasperscafe.godaddysites.com	jasperscafe.godaddysites.com	jasperscafe.godaddysites.com	com	4,521	2013-11-18	2032-11-18	GoDaddy.com, LLC	null	null	0	0	0	Classic & exotic-meat burgers, plus hot dogs & shakes, in quaint digs with shaded patio tables.	true	true	4.43	1,047	{"1": 78, "2": 47, "3": 98, "4": 290, "5": 1530}	Outdoor seating, Curbside pickup, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great beer selection, Serves local specialty	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Coffee, Comfort food, Quick bite, Wine	Lunch, Dinner, Counter service, Dessert, Seating, Table service	Restroom	Casual, Cozy, Trendy	College students, Groups, Tourists	Usually a wait	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	false	true	0	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	https://jasperscafe.godaddysites.com/menu	null	null	2026-04-07T22:41:44.285159+00:00	0	0.45	3.1	8,910.21	890.8	87.1441	0.34	88.6	100	85.2	0.7268	null	0.7919	0.8703	0.8965	0.1946	0.599	0.3333	89.6	94.8	null	null	null	90	10	0	95.24	4.76	0	96.88	3.13	0	stable	declining	null	-5.2	-0.1046	-5.5	10	21	32	-4.8	25	-100	62.4	9.5	0	50	88.6	44	24	353	36	817	11,180	1,233	73,263	596,657	97,176	79,014	24	193,287	9	483,203	67,929	101	335,920	565,873	101	649,654	105	362	828	10,836	23,172	734,279	1,460,619	734,279	0.3601	0.0588	0.3469	-0.0588	0.445	0.6898	0	0.0033	0	0.7886	0.8006	0.0646	0.4121	-0.0646	0.3798	100	8	100	193,287	24,745	483,203	0.7358	0.9661	0.352	0.9533	0.1946	45.2	2.19	398	38.4	0.3863	7.4	1.54	1,640	-1.5	0.3405	67,929	73,414	335,920	0.908	0.9013	0.5566	0.92	0.599	54.9	1.96	927	33.4	0.5934	-2.3	1.77	1,111	3.5	0.1334	565,873	192,594	649,654	0.2434	Strong	0.7407	0.1352	0.8	0.3333	Market Leader	45.2	1.45	424	26.6	Below Average	0.5619	7.4	2.28	1,614	10.3	0.1649	9	101	101	574	57	moderate	0.3903	2.55	25	75	0	3,005	1,033	competitive	0.0215	1.27	8	58	34	0	7,398	5,041	competitive	0.0458	0.32	35	51	14	0	0.0598	0.4215	-0.0598	0.3704	100	101	140	51	16	0.6602	0.8786	0.9636	0.5049	0.7451	54.9	1.88	983	32	0.5771	-2.3	1.85	1,055	4.9	0.1497	competitive	0.0203	1.35	6	59	35	0.8167	0.36	6.4	0.1422	0.6226	-0.1422	0.1693	100	101	2,298	1,333	459	0.8097	0.8898	0.9623	0.7133	0.6945	54.4	1.32	2,084	18.8	0.7628	-1.8	2.41	-46	18.1	-0.036	competitive	0.0097	0.0004	1.07	0.13	0.8795	0.059	0.2307	-0.059	0.5612	791,801	41.1	0.94	531	20.4	0.4595	11.5	2.79	1,507	0.2673	0.8139	0.8559	0.9506	0.6999	0.7738	145,906	0.8675	16.5	113,605	39,084	44.5	8.8	46.7	791,802	333	54	4.27	372	34.5	0.5264	12.2	0.15	675	0.1904	0.744	0.4367	0.9398	0.9337	0.6807	85	64.57	22.44	0.6325	333	11.65	858	1,159	1.1454	11,454.49	0.24	42,373	17	0.0492	491.71	1,523.12	1,111.11	4.62	99.01	20.99	99.01	4.12	99.01	0.94	99.01	-18.8	-0.7	991	-48.3	-41	null	null	null	null	null	0.32	-414,833	0.564	0.69	193,287	0.736	0.22	-213,368	0.29	0.8	67,929	0.908	0.09	-28,898	0.047	0.36	565,873	0.243	0.12	-6	0.021	0.82	140	0.66	0.2	-2,125	0.186	0.88	2,298	0.81	0.7268	null	null	1,047	0	0	0	0	decelerating	0.17	1.17	5	5	21	91	0.719	0.729	0.729	0.6	0.482	213,014	221,732	221,154	5	83	decelerating	-0.06	null	86.25
3NT6S4PB	Black Butte Ranch - Lakeside Bistro	Food and Drink	Restaurants	Bistro	Bistro	12934 Hawks Beard, Sisters, OR 97759	12934 Hawks Beard	Sisters	Oregon	null	null	97,759	US	true	44.377241	-121.654314	America/Los_Angeles	(541) 59-***	2	OPERATIONAL	true	true	Black Butte Ranch	true	Sisters	Oregon	US	https	https://blackbutteranch.com/dining/lakeside-bistro	blackbutteranch.com/dining/lakeside-bistro	blackbutteranch.com	com	10,569	1997-04-30	2033-05-01	GoDaddy.com, LLC	"purchase_dataset@blackbutteranch.com, purchase_dataset@focusonthegood.today, purchase_dataset@aol.c(...TRUNCATED)	realdomain	19	18	1	null	true	false	4.58	317	{"1": 6, "2": 3, "3": 24, "4": 54, "5": 231}	Outdoor seating, Onsite services, Takeout, Dine-in	"Fast service, Fireplace, Great beer selection, Great cocktails, Great coffee, Great dessert, Serves(...TRUNCATED)	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Healthy options, Quick bite, Small pla(...TRUNCATED)	Breakfast, Lunch, Dinner, Counter service, Dessert, Seating	Bar onsite, Restroom, Wi-Fi	Casual, Cozy, Trendy	Family-friendly, Groups, Tourists	null	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	7	2025-05-10	2026-02-13	333	54	69	333	333	54	54	https://www.instagram.com/blackbutteranch	blackbutteranch	https://www.facebook.com/blackbutteranch	blackbutteranch	https://twitter.com/blackbutteranch	blackbutteranch	https://www.tiktok.com/@black.butte.stables	black.butte.stables	https://www.linkedin.com/company/black-butte-ranch	black-butte-ranch	https://www.youtube.com/user/blackbutteranchore	blackbutteranchore	null	null	null	null	https://www.pinterest.com/blackbutteranch	blackbutteranch	15,158	0.3	null	0.25	0.3	0.3	2,518	14,300	19	393,200	21.06	null	null	15.01	21.06	https://blackbutteranch.com/dining/lakeside-bistro	null	null	2026-04-07T20:54:56.703053+00:00	148.61	0	0	48,945.54	616.5	50.6536	0.04	91.6	83.4	89.9	0.74	null	null	0.3086	0.3266	0.8689	null	0.537	null	66.3	null	null	null	null	null	null	66.67	33.33	0	66.67	25	8.33	stable	stable	null	null	null	null	0	3	12	-100	-100	null	66.2	9.5	100	67	38.1	44	12	31	21	4,271	8,188	7,401	311,684	424,642	478,349	333,724	12	80,066	2	551,120	null	null	null	711,712	4	740,680	52	28	48	10,836	23,172	734,279	1,460,619	734,279	0.0318	0	0.3333	0	-0.3333	0.4375	0	0.0405	0	-0.0405	null	null	null	null	null	3	1	null	80,066	737,500	551,120	0.8897	0.0111	0.2611	0.006	0.8689	48.8	0.02	335	0.3	0.625	2.6	2.43	-20	47	0.115	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	711,712	733,722	740,680	0.0518	Average	0.0226	0.0142	0.0124	0.537	null	37	0.13	45	2.2	Emerging	0.6305	14.4	2.32	270	45.1	0.1095	2	null	4	77	77	concentrated	0.4846	0.32	0	100	0	null	null	null	null	null	null	null	null	null	8,277	7,537	concentrated	0.7	0.01	66.7	33.3	0	0	0.1024	0.4823	-0.1024	-0.4823	30	31	9	9	14	0.7714	0.7714	0.6286	0.7429	0.6286	44.4	0.97	413	19.5	0.6513	7	1.48	-98	27.8	0.0887	competitive	0.0248	5.99	43.3	50	6.7	0.7286	0.04	43.47	0.1422	0.6266	-0.1422	-0.6266	100	101	2,539	3,530	6,353	0.7898	0.7082	0.4763	0.777	0.7118	54.4	1.33	2,095	18.7	0.7654	-3	1.12	-1,780	28.6	-0.0254	competitive	0.0015	0.0004	1.07	0.13	0.6713	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	10.3	1.51	-216	0.2805	0.7905	0.7149	0.5756	0.7599	0.7932	164,202	0.7033	26.9	224,810	335,455	44.5	8.8	46.7	791,802	26	57.2	4.34	342	17.4	0.6193	0.8	0.11	-25	0.1623	0.36	0.36	0.6	0.8	0.72	17	70.87	19.04	0.76	26	97.91	102	612	4.0431	40,430.81	0.24	42,373	17	0.0494	494.32	2,348.52	5,000	null	null	4,900	2,500	6.15	322.58	0.02	99.01	-22.2	-2.13	-2	-42.6	-17.9	null	null	null	null	null	-0.27	39,516	-0.054	0.44	80,065	0.89	0	0	0	0	-1	0	-0.29	56,347	-0.063	0.03	711,711	0.052	0.15	-6	0.171	0.73	9	0.771	0.02	-1,064	0.097	0.67	2,539	0.79	0.74	null	null	317	0	0	0	0	decelerating	0.03	0.23	1	1	4	27	0.242	null	0.252	0	0.25	655,507	null	690,487	1	18	decelerating	-0.04	-0.17	89.59
GJJHA8BA	Kirk’s Ferry	Food and Drink	Restaurants	Restaurant	Restaurant	217 W Bishop Way, Brownsville, OR 97327	217 W Bishop Way	Brownsville	Oregon	null	null	97,327	US	true	44.386725	-122.986547	America/Los_Angeles	(541) 46-***	2	null	true	true	null	true	Brownsville	Oregon	US	http	http://kirksferry1846.com	kirksferry1846.com	kirksferry1846.com	com	1,072	2023-05-01	2027-05-01	Squarespace Domains II LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.44	489	{"1": 28, "2": 11, "3": 25, "4": 77, "5": 355}	Outdoor seating, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great dessert, Great wine list, Live music, Se(...TRUNCATED)	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Alcohol, Beer, Cocktails, Coffee, Comfort food, Hard liquor, Small plates, Wine	Lunch, Dinner, Catering, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Historic, Romantic	Family-friendly, Groups, Tourists	Accepts reservations	Credit cards, Debit cards	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	https://www.facebook.com/kirksferry/mentions	kirksferry	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://kirksferry1846.com/eat	null	null	2026-04-07T20:44:42.916060+00:00	0	0	0	1,818.18	207.9	4.1068	0.28	88.8	89.7	86.9	0.4574	null	0.2302	0.2274	0.2461	0.9325	null	0.0491	61.5	62.3	null	null	null	71.43	19.05	9.52	70.83	20.83	8.33	72.41	17.24	10.34	stable	stable	null	-0.8	-0.0159	-1.3	21	24	29	75	189.7	-100	59.1	9.5	8	67	54.8	44	1	7	1	3,142	11,028	5,223	235,301	587,700	347,144	252,419	1	634,321	2	578,904	null	null	null	672,360	6	737,351	103	2	9	10,836	23,172	734,279	1,460,619	734,279	0.258	0	0.1908	0	0.0394	0.1411	0	1	0	-0.7698	null	null	null	null	null	5	1	null	634,321	705,521	578,904	0.1475	0.0498	0.224	0.0319	0.9325	35.6	0.1	308	1.9	0.6751	13.5	2.91	183	55.5	-0.2177	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	672,360	220,075	737,351	0.1032	Emerging	0.7038	0.0187	0.7847	0.0491	null	40.1	1.33	70	25.9	Below Average	0.3839	9	1.68	421	31.5	0.0735	2	null	6	850	850	concentrated	0.6145	0.32	100	0	0	null	null	null	null	null	null	null	null	null	7,280	5,625	concentrated	0.5831	0.02	60	20	20	0	0	1	0	-0.7698	1	2	1	1	1	1	1	1	1	0	35.6	0.1	308	1.9	0.6751	13.5	2.91	183	55.5	-0.2177	concentrated	0.6145	0.29	100	0	0	1	0.72	2.1	0.1422	0.6302	-0.1422	-0.4	100	101	3,040	2,225	5,349	0.7472	0.8159	0.5591	0.9013	0.3429	54	1.26	2,123	17.8	0.7665	-4.9	1.75	-1,632	39.6	-0.3091	competitive	0.0023	0.0004	1.07	0.13	0.7114	0.059	0.2307	-0.059	-0.0005	791,801	41.1	0.94	531	20.4	0.4595	8	2.07	-40	-0.0021	0.736	0.7915	0.6794	0.9188	0.4341	206,938	0.7357	37	164,280	253,459	44.5	8.8	46.7	791,802	2	59.4	4.34	401	29.8	0.7117	9.6	0.05	88	0.0344	1	1	1	1	1	1	90.05	0.73	1	2	5.9	1,694	487	0.1818	1,818.18	0.24	42,373	17	0.0501	501.01	3,776.33	5,000	null	null	3,400.47	1,666.67	3,776.33	5,000	0.05	99.01	-26.2	-1.43	2	-29.5	-60.6	null	null	null	null	null	-0.32	129,119	-0.162	0.14	634,321	0.148	0	0	0	0	0	0	0.19	-20,024	0.038	0.26	672,360	0.103	0	0	0	1	1	1	0.05	78	0.001	0.71	3,040	0.747	0.4574	null	null	489	0	0	0	0	decelerating	0.53	3.73	16	16	27	42	0.949	null	0.951	0.993	0.963	43,437	null	45,124	2	57	accelerating	0.06	null	39.06
26LCLYET	Phil's Frosty	Food and Drink	Restaurants	Hamburger restaurant	Hamburger restaurant, Breakfast restaurant, Fast food restaurant, Ice cream shop	22161 OR-62, Shady Cove, OR 97539	22161 OR-62	Shady Cove	Oregon	null	null	97,539	US	true	42.61942	-122.810445	America/Los_Angeles	(541) 87-***	2	OPERATIONAL	true	true	null	true	Shady Cove	Oregon	US	https	https://m.facebook.com/pages/phils-frosty/108154055893181	m.facebook.com/pages/phils-frosty/108154055893181	m.facebook.com	com	10,599	1997-03-29	2034-03-30	RegistrarSafe, LLC	null	null	0	0	0	null	true	false	4.29	1,138	{"1": 71, "2": 50, "3": 120, "4": 299, "5": 865}	Outdoor seating, Onsite services, Takeout, Dine-in	Fast service, Great dessert, Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Coffee, Comfort food, Quick bite	Breakfast, Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Cozy, Historic	College students, Groups, Tourists	Usually a wait	Credit cards, Debit cards	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	false	true	0	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	2026-04-07T20:38:43.161912+00:00	0	0	2.3	11,691.01	2,434.8	20.654	0.08	85.8	100	81.8	0.645	null	1	0.8547	0.4768	0.9741	0.9885	null	100	73.8	null	null	null	100	0	0	100	0	0	77.27	20.45	2.27	stable	improving	null	26.2	0.5232	35.5	3	11	44	-45.5	-72.7	-100	65.6	42.8	0	33	95.3	44	2	12	2	336	13,688	452	31,466	753,331	39,154	33,687	2	177,365	8	421,790	745,691	3	725,130	null	null	null	162	11	13	10,836	23,172	734,279	1,460,619	734,279	null	null	null	null	null	0.6924	-0.1429	0.4321	0.1429	0.5679	0.1615	0	0.4251	0	0.5749	null	7	2	177,365	99,471	421,790	0.7573	0.8641	0.4342	0.7968	0.9741	45.6	1.6	456	26.2	0.7391	11.1	1.63	946	23.4	-0.0941	745,691	396,467	725,130	0.0167	0.4719	0.044	0.5307	0.9885	33.5	0.77	242	15.4	0.8208	23.2	2.46	1,160	34.2	-0.1758	null	null	null	null	Strong	null	null	null	null	Emerging	null	null	null	null	null	null	null	null	null	null	null	8	3	null	306	56	moderate	0.3053	2.23	28.6	42.9	28.6	1,736	1,432	concentrated	0.7438	0.03	50	50	0	0	null	null	null	null	null	null	null	null	null	-0.012	0.4844	0.012	0.5156	11	12	3	3	1	0.8182	0.8182	1	0.8182	0.1818	41.6	1.32	368	22.7	0.7615	15.1	1.91	1,034	26.9	-0.1165	moderate	0.2572	2.08	45.5	36.4	18.2	0.8727	0.12	14.85	0.1422	0.6236	-0.1422	0.3764	100	101	1,550	1,909	1,089	0.8715	0.8415	0.9101	0.7985	0.5556	54.3	1.31	2,084	18.7	0.7651	2.4	1.92	-682	30.9	-0.1201	competitive	0.0067	0.0004	1.07	0.13	0.874	0.059	0.2307	-0.059	0.7693	791,801	41.1	0.94	531	20.4	0.4595	15.6	2.29	871	0.1855	0.8754	0.8152	0.9033	0.7739	0.6535	97,715	0.8657	29.2	145,616	76,493	44.5	8.8	46.7	791,802	10	57.3	4.5	441	33.8	0.6791	4	-0.27	697	-0.0335	0.5556	0.2222	0.8889	0.7778	0.3333	5	80.45	4.51	0.3333	10	35.7	280	581	1.3142	13,141.84	0.24	42,373	17	0.0492	491.73	932.16	1,250	5,531.89	3,333.33	null	null	661.52	833.33	0.45	99.01	-11.7	-1.05	311	-31.9	-20.7	null	null	null	null	null	-0.03	22,035	-0.027	0.69	177,365	0.757	-0.2	86,041	-0.099	0.16	745,691	0.017	0	0	0	0	0	0	0.29	-2	0.182	0.87	3	0.818	0.27	-4,114	0.354	0.87	1,550	0.872	0.645	null	null	1,138	0.07	2	0	0.571	stable	0.07	0.47	2	2	6	48	0.732	0.739	null	0	0.571	156,567	163,872	null	1	48	stable	0.07	null	84.23
6W2WX5N2	JIA Asian Street Kitchen	Food and Drink	Restaurants	Restaurant	Restaurant	19570 Amber Meadow Dr #100, Bend, OR 97702	19570 Amber Meadow Dr #100	Bend	Oregon	Southwest Bend	Southwest Bend	97,702	US	true	44.009104	-121.34457	America/Los_Angeles	(541) 24-***	2	null	true	true	null	true	Bend	Oregon	US	http	http://jiastreetkitchen.com	jiastreetkitchen.com	jiastreetkitchen.com	com	1,067	2023-05-06	2027-05-06	GoDaddy.com, LLC	purchase_dataset@jiastreetkitchen.com	realdomain	1	1	0	null	true	false	4.61	275	{"1": 9, "2": 6, "3": 14, "4": 27, "5": 225}	Outdoor seating, Delivery, Onsite services, Takeout, Dine-in	Fast service, Great cocktails, Great tea selection	Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Lunch, Dinner, Catering, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy, Trendy	Family-friendly, Groups, LGBTQ+ friendly, Transgender safespace	Dinner reservations recommended, Accepts reservations	Credit cards, Debit cards, NFC mobile payments	High chairs, Kids' menu	true	true	purchase_dataset@	true	true	2	2023-07-06	2026-02-12	1,007	55	24	1,007	1,007	55	55	https://www.instagram.com/jiastreetkitchen	jiastreetkitchen	https://www.facebook.com/jiastreetkitchen	jiastreetkitchen	null	null	null	null	null	null	null	null	null	null	null	null	null	null	5,445	0.57	null	0.43	0.39	0.39	506	null	null	null	null	null	null	null	null	null	https://exploretock.com/jia-asian-street-kitchen-bend	https://exploretock.com/jia-asian-street-kitchen-bend	2026-04-07T20:38:19.508450+00:00	5.49	0.36	0.4	9,503.23	276.3	93.432	0.42	92.2	81.4	89.5	0.415	null	0.2967	0.2636	0.2416	0.9322	0.4328	0.5558	64.8	62.1	null	null	null	77.27	9.09	13.64	75.86	10.34	13.79	69.09	9.09	21.82	stable	improving	null	2.7	0.0551	4.3	22	29	55	51.7	60	-100	65.9	32.8	44	67	51.2	44	180	377	353	4,599	7,558	8,049	335,321	392,262	520,423	358,972	180	655,400	4	723,538	609,545	98	670,025	137,305	101	517,414	41	438	980	10,836	23,172	734,279	1,460,619	734,279	0.6735	0.0418	0.4563	-0.0418	-0.1596	0.0928	0	0.2518	0	0.0449	0.2901	0.0874	0.3365	-0.0874	-0.0398	100	3	97	655,400	653,793	723,538	0.1197	0.1183	0.0314	0.0682	0.9322	34.8	0.22	76	4.3	0.6748	24.7	3.46	200	66.4	-0.2598	609,545	304,515	670,025	0.1925	0.5939	0.1163	0.6438	0.4328	41.9	1.01	378	19.6	0.5443	17.6	2.67	-102	51.1	-0.1293	137,305	111,651	517,414	0.8139	Emerging	0.8489	0.311	0.8679	0.5558	Below Average	54.2	1.84	785	30.3	Strong	0.636	5.3	1.84	-509	40.4	-0.221	4	98	101	38	0	concentrated	0.5465	0.95	66.7	33.3	0	4,026	1,963	competitive	0.0075	1.24	43.3	46.4	10.3	0	6,602	5,018	competitive	0.0035	0.32	12	50	38	0	0.0472	0.5201	-0.0472	-0.2234	100	101	73	54	219	0.8599	0.8949	0.5759	0.9514	0.2549	55.2	1.84	937	29.7	0.6565	4.3	1.84	-661	41	-0.2415	competitive	0.0029	1.09	7	56	37	0.7852	0.42	5.57	0.1422	0.624	-0.1422	-0.3273	100	101	1,120	1,347	7,015	0.9069	0.8889	0.4218	0.9657	0.308	54.1	1.29	2,127	18.4	0.7651	5.4	2.39	-1,851	52.3	-0.3501	competitive	0.0013	0.0004	1.07	0.13	0.756	0.059	0.2307	-0.059	0.066	791,801	41.1	0.94	531	20.4	0.4595	18.4	2.74	-255	-0.0445	0.9071	0.8527	0.5459	0.9696	0.3932	72,749	0.7824	50.3	116,112	358,897	44.5	8.8	46.7	791,802	408	54.9	4.38	325	26.8	0.5654	20.6	0.22	-50	0.2306	0.9435	0.4496	0.602	0.9214	0.7912	23	59.85	29.96	0.7862	408	10.08	992	1,081	0.9449	9,449.37	0.24	42,373	17	0.0502	501.89	2,987	2,500	0.56	102.04	0.12	99.01	0.09	99.01	0.02	99.01	-19.9	-0.93	1	-18.8	-38.1	null	null	null	null	null	-0.4	294,207	-0.383	0.09	655,399	0.12	0.1	-10,902	0.025	0.29	609,538	0.193	0.19	-249,281	0.342	0.67	137,282	0.814	0.09	-22	0.05	0.79	73	0.86	0.04	-333	0.032	0.76	1,120	0.907	0.415	null	null	275	0.07	2	0.805	0.72	decelerating	0.07	0.47	2	2	24	57	0.732	0.739	0.74	0.805	0.72	156,567	163,872	163,540	9	267	decelerating	-0.36	null	19.41
3UKFFY4L	Judy's Red Barn	Food and Drink	Restaurants	Bar & grill	Bar & grill	918 Main St, Lyons, OR 97358	918 Main St	Lyons	Oregon	null	null	97,358	US	true	44.77358	-122.611911	America/Los_Angeles	(503) 85-***	1	OPERATIONAL	true	true	null	true	Lyons	Oregon	US	null	null	null	null	null	null	null	null	null	null	null	0	0	0	null	true	false	4.36	291	{"1": 16, "2": 2, "3": 26, "4": 69, "5": 180}	Takeout, Dine-in	"Bar games, Fast service, Great beer selection, Great cocktails, Karaoke, Live music, Live performan(...TRUNCATED)	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Dancing, Food, Food at bar, Happy hour drinks, Happ(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Counter service, Dessert, Seating, Table service	Bar onsite, Restroom, Wi-Fi	Casual, Cozy	Family-friendly, Groups	null	Credit cards, Debit cards, NFC mobile payments	null	true	false	purchase_dataset@	false	true	0	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	2026-04-07T20:21:15.944659+00:00	0	0	2.4	4,384.36	1,605.2	7.5472	0.1	87.2	82.2	85.2	0.6981	null	null	-1	0.2	0.9962	0.723	null	null	60	null	null	null	null	null	null	0	100	0	60	40	0	stable	stable	null	null	null	null	0	1	5	-100	-100	null	67.5	57.8	0	33	80.5	100	1	5	1	4,486	12,565	7,811	326,040	681,825	503,781	349,061	1	730,733	2	652,302	497,452	3	742,801	null	null	null	135	4	6	10,836	23,172	734,279	1,460,619	734,279	null	null	null	null	null	0.0512	0	0.3066	0	-0.3066	0.4413	0	-0.3224	0	0.3224	null	1	2	730,733	732,444	652,302	0.0215	0.016	0.1261	0.0117	0.9962	29.1	0.04	226	0.9	0.8541	20.2	2.32	67	45.2	-0.156	497,452	1,154	742,801	0.3388	0.9984	0.0209	0.9988	0.723	44.8	3.4	148	68.1	0.6324	4.5	-1.04	145	-22	0.0657	null	null	null	null	Emerging	null	null	null	null	Average	null	null	null	null	null	null	null	null	null	null	null	2	3	null	196	196	concentrated	0.5645	0.32	100	0	0	1,892	1,802	concentrated	0.4975	0.03	0	100	0	0	null	null	null	null	null	null	null	null	null	0	-0.1127	0	0.1127	3	4	1	3	1	1	0.3333	1	0.3333	0.3333	39.6	2.28	174	45.7	0.7063	9.7	0.08	119	0.4	-0.0082	concentrated	0.3595	1.32	33.3	66.7	0	0.8	0.17	9.88	0.1422	0.6275	-0.1422	-0.6275	100	101	3,137	3,666	6,094	0.7394	0.6971	0.4976	0.7673	0.6418	54.5	1.32	2,039	18.9	0.7645	-5.2	1.04	-1,746	27.2	-0.0664	competitive	0.0014	0.0004	1.07	0.13	0.6542	0.059	0.2307	-0.059	-0.2307	791,801	41.1	0.94	531	20.4	0.4595	8.2	1.42	-238	0.2386	0.7413	0.7045	0.5594	0.7525	0.7309	202,748	0.6757	25.7	233,077	348,315	44.5	8.8	46.7	791,802	4	55.5	4.71	205	45.4	0.7126	2.2	-0.33	86	-0.0064	0.6667	0	1	0.3333	0.3333	2	78.15	15.3	1	4	24.96	401	530	0.4343	4,342.76	0.24	42,373	17	0.0481	481.28	3,187.14	5,000	2,474.6	3,333.33	null	null	1,292.47	2,500	0.02	99.01	-0.8	-2	3	-39.1	48.3	null	null	null	null	null	-0.59	548,210	-0.725	0.05	730,733	0.022	0.12	-204,108	0.278	0.44	497,452	0.339	0	0	0	0	0	0	0.5	-3	1	0.8	1	1	0.31	-7,451	0.635	0.65	3,137	0.739	0.6981	null	null	291	0.07	2	0.333	0.704	accelerating	0.07	0.47	2	2	2	18	0.732	0.739	null	0.333	0.704	156,567	163,872	null	2	35	accelerating	0.07	null	93.1
HL9JAG74	El Taco Express	Food and Drink	Restaurants	Mexican restaurant	Mexican restaurant, Fast food restaurant, Restaurant	647 W Centennial Blvd, Springfield, OR 97477	647 W Centennial Blvd	Springfield	Oregon	null	null	97,477	US	true	44.056236	-123.035744	America/Los_Angeles	(541) 74-***	1	OPERATIONAL	true	true	null	true	Springfield	Oregon	US	https	https://facebook.com/el-taco-express-202219959819887	facebook.com/el-taco-express-202219959819887	facebook.com	com	10,599	1997-03-29	2034-03-30	RegistrarSafe, LLC	null	null	0	0	0	null	true	false	4.61	1,123	{"1": 33, "2": 29, "3": 48, "4": 232, "5": 1069}	Onsite services, Takeout, Dine-in	Fast service, Serves local specialty	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	Comfort food, Quick bite, Small plates	Breakfast, Lunch, Dinner, Counter service, Dessert, Seating	Restroom	Casual, Cozy	College students, 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	https://facebook.com/el-taco-express-202219959819887/	el-taco-express-202219959819887	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://places.singleplatform.com/taco-express-11/menu	null	null	2026-04-07T20:00:30.428510+00:00	0	0.12	1.2	15,425.46	857.6	67.3783	0.26	92.2	100	92	0.8273	null	1	0.8849	0.8869	0.1351	0.6663	0.4209	100	94.3	null	null	null	100	0	0	94.74	5.26	0	93.48	2.17	4.35	stable	improving	null	5.7	0.1131	6	8	19	46	-15.8	-30.4	-100	73.4	27.4	8	67	97	100	15	128	18	397	7,478	543	36,015	388,358	44,900	38,613	15	583,450	9	715,329	20,303	101	284,117	72,167	101	423,287	38	232	570	10,836	23,172	734,279	1,460,619	734,279	0.7644	0.0968	0.4579	-0.0968	0.5421	0.367	0.125	0.0472	-0.125	0.9528	0.864	0.0661	0.4179	-0.0661	0.5821	100	8	100	583,450	76,737	715,329	0.2145	0.8949	0.0424	0.9589	0.1351	37.2	1.72	104	39.5	0.3558	21.2	1.67	1,304	14.4	0.4715	20,303	30,088	284,117	0.972	0.959	0.6249	0.9667	0.6663	58.7	2.29	1,025	37.8	0.6144	-0.3	1.1	383	16.1	0.2129	72,167	66,672	423,287	0.9016	Below Average	0.9096	0.4362	0.9462	0.4209	Market Leader	57.2	2.12	1,011	36.1	Strong	0.5934	1.2	1.27	397	17.8	0.2339	9	101	101	424	12	moderate	0.6291	2.55	62.5	37.5	0	3,583	1,038	competitive	0.0135	1.27	4	43	52	1	6,875	5,036	competitive	0.0137	0.32	6	44	50	0	0.1	0.2177	-0.1	0.7823	100	101	47	29	31	0.8217	0.8876	0.8837	0.8256	0.9225	53.5	1.89	954	30	0.4943	4.9	1.5	454	23.9	0.333	competitive	0.0145	2.42	9	63	28	0.8601	0.26	8.65	0.1422	0.6223	-0.1422	0.3777	100	101	1,347	1,770	1,029	0.8878	0.8531	0.9154	0.8614	0.8554	54.6	1.36	2,052	19.3	0.7653	3.8	2.03	-644	34.6	0.062	competitive	0.0068	0.0004	1.07	0.13	0.8857	0.059	0.2307	-0.059	0.7693	791,801	41.1	0.94	531	20.4	0.4595	17.3	2.45	877	0.3678	0.8952	0.8304	0.9039	0.8987	0.9054	82,084	0.8784	33.5	133,643	75,989	44.5	8.8	46.7	791,802	215	54	4.17	401	32.6	0.4679	12.6	0.44	722	0.3623	0.771	0.6262	0.9579	0.9486	0.9346	49	59.86	34.86	0.9533	215	16.17	619	1,499	1.5425	15,425.46	0.24	42,373	17	0.0484	484.31	3,958.09	1,111.11	1.84	99.01	1.89	99.01	2.12	99.01	0.46	99.01	-18.1	-1.22	287	-38.1	-41.6	null	null	null	null	null	0.26	-89,651	0.129	0.37	583,449	0.215	0.18	-163,617	0.224	0.86	20,300	0.972	0.36	-355,921	0.485	0.76	72,164	0.902	0	15	-0.054	0.86	47	0.822	0.08	-1,189	0.105	0.89	1,347	0.888	0.8273	null	null	1,123	0.03	1	0.4	0.479	decelerating	0.03	0.23	1	1	11	47	0.507	0.515	0.517	0.4	0.479	253,363	266,224	265,236	53	285	decelerating	-0.07	null	90.09
YXJA3Z5J	Tj's Family Restaurant & Sports Bar	Food and Drink	Restaurants	Restaurant	Restaurant	365 E Oregon Ave, Creswell, OR 97426	365 E Oregon Ave	Creswell	Oregon	null	null	97,426	US	true	43.916977	-123.014391	America/Los_Angeles	(541) 89-***	2	OPERATIONAL	true	true	null	true	Creswell	Oregon	US	http	http://tjsfamilyrestaurantor.com	tjsfamilyrestaurantor.com	tjsfamilyrestaurantor.com	com	1,084	2023-04-19	2027-04-19	Squarespace Domains II LLC	purchase_dataset@gmail.com	null	1	1	0	null	true	false	4.3	1,095	{"1": 59, "2": 44, "3": 119, "4": 315, "5": 734}	Outdoor seating, Curbside pickup, Onsite services, Takeout, Dine-in	"Fast service, Great beer selection, Great cocktails, Great coffee, Great dessert, Great tea selecti(...TRUNCATED)	Breakfast, Lunch, Dinner, Solo dining	"Wheelchair accessible entrance, Wheelchair accessible parking lot, Wheelchair accessible restroom, (...TRUNCATED)	"Alcohol, Beer, Cocktails, Coffee, Comfort food, Happy hour drinks, Happy hour food, Hard liquor, He(...TRUNCATED)	Breakfast, Brunch, Lunch, Dinner, Dessert, Seating, Table service	Bar onsite, Restroom	Casual, Cozy	Groups, Tourists	Accepts reservations	Credit cards, Debit cards, NFC mobile payments	Good for kids, High chairs, Kids' menu	true	true	purchase_dataset@	true	true	2	null	null	null	null	null	null	null	null	null	null	null	https://www.facebook.com/tjsfamilyrest	tjsfamilyrest	null	null	null	null	null	null	https://www.youtube.com/c/tandjfamily	tandjfamily	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	https://tjsfamilyrestaurantor.com	null	null	2026-04-07T19:34:03.403897+00:00	0	0.16	0.7	7,094.49	615.8	13.535	0.11	86	100	83.7	0.6656	null	0.776	0.7251	0.7779	0.4172	0.9529	0.2901	88.8	88.9	null	null	null	92.31	7.69	0	87.5	12.5	0	90.91	9.09	0	stable	stable	null	-0.1	-0.0019	-0.1	13	32	55	-18.8	-5.5	-100	72.9	32.8	16	83	89	100	1	11	1	517	13,521	714	46,356	743,424	58,556	49,864	1	113,384	12	625,639	758,410	2	753,989	584,117	10	701,875	156	14	19	10,836	23,172	734,279	1,460,619	734,279	0.3521	-0.0362	0.2495	0.0362	0.5265	0.6015	0.1818	0.3749	-0.1818	0.4011	0.0021	0	0	0	0.776	9	11	1	113,384	208,055	625,639	0.8443	0.7175	0.1616	0.6877	0.4172	47.5	1.18	258	21.6	0.4619	11.3	1.89	1,010	29.6	0.2037	758,410	756,146	753,989	0.0005	0	0.0062	0	0.9529	21	0	36	0	0.7493	37.8	3.07	1,232	51.2	-0.0837	584,117	136,652	701,875	0.2195	Average	0.8154	0.0658	0.9715	0.2901	Emerging	44.5	1.71	266	39.8	Below Average	0.5458	14.3	1.36	1,002	11.4	0.1198	12	2	10	412	60	moderate	0.3084	3.5	18.2	63.6	18.2	1,439	1,439	concentrated	0.9724	0.01	100	0	0	0	7,919	6,017	moderate	0.3464	0.03	33.3	66.7	0	0	0.0974	0.2345	-0.0974	0.5415	16	17	4	2	1	0.7333	0.8667	0.9333	0.8	0.6	43.8	1.17	250	25.3	0.4487	15	1.9	1,018	25.9	0.2169	competitive	0.2406	3.56	31.3	56.3	12.5	0.8333	0.15	12.42	0.1422	0.6265	-0.1422	0.1495	100	101	1,247	2,196	1,578	0.8963	0.8171	0.8701	0.8435	0.5861	54.3	1.31	2,086	18.7	0.7654	4.5	1.76	-818	32.5	-0.0998	competitive	0.006	0.0004	1.07	0.13	0.8647	0.059	0.2307	-0.059	0.5453	791,801	41.1	0.94	531	20.4	0.4595	17.7	2.13	737	0.2061	0.8996	0.7983	0.8868	0.8817	0.6827	78,646	0.8653	30.8	158,884	89,535	44.5	8.8	46.7	791,802	12	61.5	3.95	347	24.1	0.4532	6.6	0.31	748	0.2387	0.8182	0.3636	1	0.8182	0.7273	3	74.01	16.01	0.7273	12	28.36	353	1,256	0.7094	7,094.49	0.24	42,373	17	0.0492	492.2	951.36	833.33	9,455.47	5,000	1,199.61	1,000	578.92	588.24	0.37	99.01	-17.5	-1.23	173	-32.5	-38.5	null	null	null	null	null	0.1	-69,139	0.098	0.6	113,383	0.844	-0.25	14,642	-0.005	0	758,409	0.001	0.27	-107,347	0.153	0.35	584,116	0.22	0.1	0	0	0.83	4	0.733	0.15	-1,319	0.117	0.86	1,247	0.896	0.6656	null	null	1,095	0.07	2	1	0.72	decelerating	0.07	0.47	2	2	15	57	0.732	0.739	0.74	1	0.72	156,567	163,872	163,540	1	267	decelerating	-0.16	null	89.5

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The HHI Monopoly Index for Oregon, US

Free sample dataset from BeamStation

--HHI Dominance--

This dataset provides the Herfindahl‑Hirschman Index (HHI) monopoly index for businesses across Oregon, US. It contains 289 records, each representing a firm that holds a near‑monopoly position in its local market (greater than 30 % share) with a high HHI contribution exceeding 900 within a 1‑kilometer radius. The data are refreshed weekly, ensuring users have the most recent view of dominant, cash‑flow‑stable enterprises that competitors find difficult to dislodge. Analysts, investors, and regional economic development officials can use this information to identify safe investment targets, assess market concentration, and study competitive dynamics at a granular geographic level. Because every figure is derived solely from the provided facts, the dataset offers a transparent, reproducible snapshot of monopoly‑like conditions in Oregon’s local economies.

Dataset Details

Field	Value
Full dataset	289 records
Sample size	28 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 289 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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