Correlation with "Number of Badminton Players (25 years of age or more)"

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StatsCorrelation
Coefficient
OrderAsc Desc
Number of Table Tennis Players (25 years of age or more)0.6588
Domestic Tourists (Overnight stay)(25 years of age or more)0.6246
Consumption Expenditure of Cheese0.6095
Amateur Photographers (25 years of age or more)0.5831
Participants in Cooking and Sweets Cooking (25 years of age or more)0.5681
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)0.567
Number of Sports Players (25 years of age or more)0.5593
Domestic Tourists (Overnight stay)(25 years of age or more)0.5552
Number of Swimmers (25 years of age or more)0.5401
Book Readers (25 years of age or more)0.5374
Number of Ski & Snowboard Players (25 years of age or more)0.5358
Working Hours0.5267
Consumption Expenditure of Instant Dried Soup0.522
Participants in Classical Music Concert (25 years of age or more)0.5137
Number of Cyclists (25 years of age or more)0.5135
Video Game Players (25 years of age or more)0.5096
Number of Hikers (25 years of age or more)0.5068
Number of Soccer Players (25 years of age or more)0.5026
0.5003
Participants in Playing Instrumentst (25 years of age or more)0.499
Average Life Expectancy: Male0.4968
Number of Basketball Players (25 years of age or more)0.4962
Participants in Concert (25 years of age or more)0.4949
Internet Penetration0.4948
Participants in Dressmaking (25 years of age or more)0.4888
Delivery Cost0.4877
Consumption Expenditure of Black Tea0.4861
Smartphone Penetration0.4798
Consumption Expenditure of Oranges0.4771
Participants in Homemaking Training (25 years of age or more)0.4768
Participants in Knitting and Handicraft (25 years of age or more)0.47
Number of Baseball Players (25 years of age or more)0.4691
Consumption Expenditure of Men's clothing0.4566
Number of Golfers (25 years of age or more)0.4542
Moviegoers (25 years of age or more)0.4529
Consumption Expenditure of Cakes & Candies0.4527
English language learners (25 years of age or more)0.444
Consumption Expenditure of Shao-mais0.4415
Minimum Wage0.4388
Consumption Expenditure of Lettuce0.4296
Number of people who went back to their hometown (25 years of age or more)0.4283
Cellphone Penetration0.4275
Consumption Expenditure of Butter0.4261
Consumption Expenditure of 'Senbei', Japanese Crackers0.426
Mean Age at First Marriage (Male)0.4226
Foreign Residents in Japan0.4226
Consumption Expenditure of Milk0.4216
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce0.4206
Number of Tennis Players (25 years of age or more)0.4187
Savings per Household0.4176
Mean Age of Mother at 1st Child Birth0.4159
Consumption Expenditure of Jam0.4154
Outbound Tourists (25 years of age or more)0.4127
Number of Joggers (25 years of age or more)0.4092
Consumption Expenditure of Cutlets0.4035
Participants in Karaoke (25 years of age or more)0.4005
Participants in Crafts and Ceramics (25 years of age or more)0.3985
Mean Age of Father at 1st Child Birth0.3966
Gyudon (Beef bowl) Stores0.3958
Private High School Fee for 1st Year0.3938
Peruvian Residents in Japan0.3872
Number of campers (25 years of age or more)0.3815
Theatergoers (25 years of age or more)0.381
Participants in Shogi (25 years of age or more)0.3788
Valid Passports0.3787
Participants in Arts and Culture Studies (25 years of age or more)0.3787
Rate of Pediatricians0.3763
Consumption Expenditure of Salad0.3737
Average time spent on Volunteer and social activities0.3737
Monthly Rent0.3732
Consumption Expenditure of Pickled Vegetables0.3664
Participants in Japanese calligraphy (25 years of age or more)0.3603
Indian Residents in Japan0.3602
Consumption Expenditure of White Potatoes0.3602
Chinese Residents in Japan0.3596
Vietnamese Residents in Japan0.3595
Fitness Clubs0.3593
Consumption Expenditure of Broccoli0.3578
Salary of Prefectural Governors0.3575
Participants in Drawing Pictures and Sculpturing (25 years of age or more)0.3471
Consumption Expenditure of Onigiri0.3455
Online Shopping Penetration0.3434
Consumption Expenditure of Radishes0.343
Participants in Child-Rearing Assistance Activities (25 years of age or more)0.3402
Broadband Contracts0.3353
Consumption Expenditure of Croquettes0.3336
Participants in DIY (25 years of age or more)0.3322
Yoshinoya0.3303
Mean Age at First Marriage (Female)0.325
Participants in Chorus and Vocal music (25 years of age or more)0.3244
Prefectural Income0.3231
Natural Gas Consumption0.3229
Consumption Expenditure of Pickled Fish0.3205
Starbucks0.3194
Consumption Expenditure of Ready-to-eat Food0.3187
Participants in Playing Japanese music (25 years of age or more)0.3184
Consumption Expenditure of Fried Bean Curd0.316
Consumption Expenditure of Clothing & Footwear0.3156
Brazilian Residents in Japan0.3148
Consumption Expenditure of Medical Services0.3126
Number of Bowling Players (25 years of age or more)0.3117
Nakau0.3113
Consumption Expenditure of Root Vegetables0.3056
Participants in Go (25 years of age or more)0.3053
Real Estate Notary0.3037
Spectator Sport Watchers (25 years of age or more)0.3015
Consumption Expenditure of Chocolate0.3003
Average Life Expectancy: Female0.2968
Consumption Expenditure of Tomatoes0.2918
Consumption Expenditure of Children's dresses0.29
Participants in Gardening (25 years of age or more)0.2888
Matsuya0.288
Participants in Community Safety Activities (25 years of age or more)0.2868
Educational Expenses0.2861
Consumption Expenditure of Welsh Onions0.284
Seven Eleven0.2812
Sukiya0.2806
Sri Lankan Residents in Japan0.2804
Thai Residents in Japan0.2768
Mobile Phone Subscriptions0.2741
Consumption Expenditure of Women's Underwear0.2741
Consumption Expenditure of Salmon0.2733
Population0.2724
Population Ratio0.2724
Consumption Expenditure of 'Yokan', Sweet Bean Jelly0.2715
Consumption Expenditure of Women's clothing0.2699
Nepali Residents in Japan0.2683
Russian Residents in Japan0.2671
Concentration of Population0.2645
Husband and Wife0.2634
Taiwanese Residents in Japan0.2633
Facebook User0.2631
Patient with Cavity0.2597
Licensed Architect (1st grade)0.2588
Consumption Expenditure of Flower0.2585
AIDS Patients0.257
Online Video Penetration0.2558
Washing Charges0.2533
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)0.2528
German Residents in Japan0.2509
Consumption Expenditure of Men's Underwear0.2508
Consumption Expenditure of Dressing0.2504
Participants in Japanese tea ceremony (25 years of age or more)0.2479
Philippine Residents in Japan0.2434
Lotteria0.2433
Kentucky Fried Chicken0.2401
Employed Persons in Secondary Industry0.2399
Participants in Nature Conservation Activities (25 years of age or more)0.2398
Industrial Production0.2394
Wheat Production0.2361
Consumption Expenditure of Jiao-zi0.2361
SNS Penetration0.2348
Participants in Japanese flower arrangement (25 years of age or more)0.2339
Consumption Expenditure of “Shimeji”, mushrooms0.2305
Railway Passenger Transport0.2293
Consumption Expenditure of Carrots0.2272
Consumption Expenditure of Biscuits0.2264
English Residents in Japan0.2249
Soybean Production0.2228
Consumption of Pork0.2189
Burmese Residents in Japan0.2188
Consumption Expenditure of Candies0.2158
Rate of Obstetricians and Gynecologists0.2154
Curator0.2119
Consumption Expenditure of Handbags0.2114
Rice Production0.21
Consumption Expenditure of Pumpkins0.206
Consumption Expenditure of Cucumbers0.2055
Consumption Expenditure of Leafy Vegetables0.203
Indonesian Residents in Japan0.2028
Consumption of Whisky0.2023
Golf Course0.2023
Average Residential Land Price0.2022
Doutor Coffee0.2022
Consumption Expenditure of Coffee0.2019
Japanese and Foreign HIV Carriers0.1992
Consumption Expenditure of Octopus0.1977
Consumption Expenditure of Strawberries0.1962
Riding Ground0.1934
Seicomart0.1928
Consumption Expenditure of Puddings0.1914
Consumption Expenditure of Fried food0.1906
Consumption Expenditure of Crabs0.1896
Utility Model Registrations0.1831
Saveon0.1815
Spinach Production0.1788
Consumption Expenditure of Short-Necked Clams0.1787
Consumption Expenditure of Medicines0.178
Consumption Expenditure of Flavour Seasonings0.1774
Gross Production0.1744
Participants in Volunteer Work (25 years of age or more)0.174
Participants in Dance (25 years of age or more)0.1735
Italian Residents in Japan0.1705
Consumption of Wine0.1686
Komeda Coffee0.1673
Consumption Expenditure of Instant Curry Mix0.1667
Consumption Expenditure of Cucumbers0.163
Women's Housekeeping Time0.1612
Rate of Female Physicians0.1602
Population Density0.1521
Labor and Social Security Attorney0.1516
Number of Children0.1502
French Residents in Japan0.1498
Convenience Stores0.1447
Engel's coefficient0.1435
Consumption Expenditure of “Yakitori”,Grilled Chickens0.1423
Consumption Expenditure of Bananas0.142
Japanese HIV Carriers0.1414
Average Industrial Land Price0.141
Ministop0.1407
Patent Registrations0.1396
Consumption Expenditure of Margarine0.1395
Temples0.138
Vacation Homes0.1376
Firing Range0.1368
Consumption Expenditure of Jelly0.1334
Consumption Expenditure of ”Kabayaki”,Broiled Eels0.1322
Consumption Expenditure of Oysters0.1308
Skating Rink0.1273
Attractiveness0.1264
Consumption Expenditure of Cakes0.1248
Average Commercial Land Price0.1243
Patent Attorneys0.1237
Consumption Expenditure of Children's Underwear0.1216
Consumption Expenditure of Spinach0.1213
Dance Studio, Dance Hall0.1195
Consumption Expenditure of Mushrooms0.1191
South and North Korean Residents in Japan0.1176
Consumption Expenditure of Onions0.1174
Rate of Smoking: Male0.1097
Consumption Expenditure of Green Tea0.1096
Consumption Expenditure of Bean Sprouts0.1094
Certified Public Accountant0.1057
American Residents in Japan0.1042
Consumption Amount of Umbrella0.104
Consumption Expenditure of Fermented Lactic Beverages0.1005
Christians0.1003
Consumption Expenditure of Cabbage0.0974
Consumption Expenditure of String beans0.097
Rate of Nuclear Families0.0969
Meal TIme0.0936
National Achievement Test0.0936
Online Game Penetration0.0904
Death due to Bowel Cancer: Female0.0902
Consumption Expenditure of Taros0.0892
Highest temperature0.0888
Number of Gateball Players (25 years of age or more)0.084
Participants in Community Development Activities (25 years of age or more)0.0837
Design Registrations0.0836
Consumption Expenditure of Mineral Water0.0832
Baseball ground0.0813
Trademark Registrations0.0798
Death due to Lung Cancer: Female0.078
Manufacturing Industries0.0744
Consumption Expenditure of Flounder0.069
Motorcycles Registered0.0668
Attorney0.0627
Consumption Expenditure of Fresh Water Clams0.061
Rate of Smoking: Female0.0589
Patients with Major depressive disorder (aged 65 or above)0.058
Consumption Expenditure of Frozen Food0.0559
Internet cafe0.0487
Consumption Expenditure of Dried Laver0.0484
Number of Softball Players (25 years of age or more)0.0481
Fish Catches0.0462
Consumption Expenditure of ”Wakame”, seaweed0.0437
Elementary School Students0.043
Tennis Court0.0428
Consumption of Sake0.0421
Ski Resort0.042
Drowning Death Rate (Bath)0.0406
Patients with Asthma0.0386
Consumption Expenditure of Saury0.0364
Consumption Expenditure of 'Kasutera', Sponge Cakes0.0336
Expenditure of Pocket Money (Household Heads)0.0314
Mean Elevation0.031
Patients with Major depressive disorder0.0294
Pediatricians0.0286
Shintoists0.0275
Consumption Expenditure of Watermelons0.0196
Consumption Expenditure of Hamburg Steak0.0174
Mister Donut0.0153
People Living Alone0.0117
Buddhists0.0098
Consumption Expenditure of Eggplants0.0015
H1N1 Influenza0.0006
Consumption Expenditure of Shellfish-0.0006
Total Floor Space of Residential Buildings of one's own-0.0007
Ministry of Health, Labour and Welfare-0.0015
Croquet and Gateball Field-0.002
Patients with Diabetes (aged 65 or above)-0.0048
Consumption Expenditure of Tomato Ketchup-0.0062
Rate of Empty Rental Houses-0.0064
Poplar-0.0068
Job Offer Retractions-0.0088
Consumption Expenditure of Fried & Salted Snack Crackers-0.0112
Consumption Expenditure of Fruits-0.016
Paved Rate-0.0187
Patients with Dyslipidemia-0.0213
Death due to Stomach Cancer: Female-0.026
Total Floor Space of Residential Buildings of one's own-0.0319
Theaters and Concert halls-0.0327
Dentists-0.0381
Book Stores-0.0391
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings-0.0432
Homeownership-0.045
Japanese Archery Range-0.0462
Consumption Expenditure of Cuttlefish-0.0484
Dental Clinics-0.0506
Video Arcades-0.0508
Consumption Expenditure of Worcester Sauce-0.0515
Obstetricians and Gynecologists-0.0556
Daily Yamazaki-0.0598
Consumption Expenditure of Yellowtail-0.0616
Camp Site-0.0644
Consumption Expenditure of Accessories-0.0719
Mos Burger-0.0746
Consumption Expenditure of 'Manju', Bean-jam Cakes-0.0758
Passenger Cars Registered-0.0778
Consumption Expenditure of “Enokitake”, mushrooms-0.0794
Consumption Expenditure of Seafood-0.0804
Suicide Victims: Female-0.0817
Female Physicians-0.0854
Game Parlors-0.092
Annual Rate of Unemployment-0.0934
Kerosene Consumption-0.0952
Consumption Expenditure of Dried Tangle-0.0952
Consumption Expenditure of Bean curd-0.0983
Bus and Taxi Registered-0.1114
Death due to Stomach Cancer: Male-0.1126
Consumption Expenditure of Carbonated Beverages-0.1132
Consumption Expenditure of Apples-0.1181
Patients with Cancer (aged 65 or above)-0.1229
Death due to Lung Cancer: Male-0.1231
Amount of Greenhouse Gas Emission-0.1241
Consumption Expenditure of Mandarin Oranges-0.1261
Monthly Cost of Water-0.1262
Kendo Hall-0.1306
Family Mart-0.1318
Consumption Expenditure of Packed Lunch-0.1357
Patients with Hypertension (aged 65 or above)-0.1397
Patients with Cancer-0.1414
Consumption Expenditure of School Uniforms-0.1431
Electric Energy Consumption-0.1434
Consumption Expenditure of Chinese cabbage-0.1459
Consumption Expenditure of Sardines-0.147
Murder Victims-0.1526
Traffic-Related Death Rate - Bicyclist-0.1539
Swimming Pool-0.1562
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried-0.1563
Consumption Expenditure of Scallops-0.1571
BMI Male-0.1621
Automobile Accidents-0.1634
Number of Volleyball Players (25 years of age or more)-0.1638
Automobiles Registered-0.1639
Traffic-Related Death Rate - Motorcyclist-0.1668
Shinto Shrines-0.1689
Pachinko Players (25 years of age or more)-0.1701
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning-0.1702
Death due to Old Age: Female-0.1718
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.1762
Consumption Expenditure of Citrus Fruits-0.1777
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings-0.1784
Consumption Expenditure of Sweet Potatoes-0.1799
Homeownership-0.1839
Athletic Field-0.1854
Death due to Old Age: Male-0.1868
Consumption Expenditure of Burdocks-0.1938
Churches-0.1944
Rest and Relaxation Ttime-0.1961
Judo Hall-0.2024
Employed Persons in Tertiary Industry-0.2044
Rate of Double-Income Households-0.2071
Consumption Expenditure of Soy Sauce-0.2077
Traffic-Related Death Rate - Driver-0.2136
Consumption Expenditure of Horse Mackerel-0.2191
Patient with Fracture-0.2211
Liquefied Petroleum Gas Consumption-0.2221
Consumption Expenditure of Soybean Paste-0.2236
Consumption Expenditure of Shrimps & Lobsters-0.2259
Patient with Fracture-0.227
Consumption Expenditure of Other Raw Meat-0.2337
Traffic-Related Death Rate - Pedestrian-0.2386
Patients with Diabetes-0.2391
Consumption of Beer-0.2397
Gym-0.252
Consumption Expenditure of Salt-0.2522
Rate of Intraregional Railway Passenger Transport-0.2539
Length of Coastline-0.2605
Consumption of Alcohol-0.2634
Death due to Bowel Cancer: Male-0.2638
Lowson-0.2643
Consumption of Shochu-0.2669
Pachinko Parlors-0.2716
Area-0.2773
Participants in Japanese Dance (25 years of age or more)-0.281
Consumption of Beef-0.285
Patients with Cerebral Infarction (aged 65 or above)-0.289
Consumption Expenditure of Vinegar-0.2973
BMI Female-0.2989
Rate of Forest Land-0.3002
School Personnel-0.3021
Number of Physicians-0.3067
Consumption Expenditure of Sugar-0.3078
Consumption of Chicken-0.3101
Area of Forest Land-0.3103
Traffic-Related Death Rate - All-0.3109
Employed Persons in Primary Industry-0.3131
Consumption Expenditure of Mackerel-0.3136
Practicing Physicians-0.316
Consumption Expenditure of Bonito-0.32
Total Road Length-0.3222
Consumption Expenditure of Edible Oil-0.3244
Death due to Liver Cancer: Female-0.3323
Rate of Empty Houses-0.3328
Local Government Employees-0.3435
Households Living on Welfare-0.3489
Sumo Ring-0.3582
Rate of Artificial Forest Land-0.3649
Clinic-0.3717
Trucks Registered-0.3744
Pharmacies-0.3797
Number of Anglers (25 years of age or more)-0.3827
Total Length of Rivers-0.3896
Bowling Alley-0.3955
Male Physicians-0.3979
Total Floor Space of Residential Buildings of rental housing-0.3998
Drowning Death Rate (Except for Bath)-0.4044
Fire Death Rate-0.4055
Psychiatric Hospitals-0.4089
Death due to Liver Cancer: Male-0.4124
Elementary Schools-0.4154
Death Due to Cancer : Female-0.4323
Suicide Victims: Male-0.4347
Sleeping Hours-0.4396
Beds for Long-Term Care-0.4458
Rate of Shotgun Wedding-0.4821
Senior Citizens-0.4983
Nurse-0.5007
Beds for Mental Patients-0.5017
Hospital-0.5034
Rate of Single-parent Households-0.5073
General Beds-0.5114
Death Due to Cancer : Male-0.5511
Mass Media Viewing TIme-0.5584
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