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

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StatsCorrelation
Coefficient
OrderAsc°°Desc
Number of Golfers (25 years of age or more)0.8398
Number of Swimmers (25 years of age or more)0.7808
Number of Tennis Players (25 years of age or more)0.7703
Foreign Residents in Japan0.7574
Minimum Wage0.7277
Number of Joggers (25 years of age or more)0.7092
Broadband Contracts0.7086
House Rent0.7056
Chinese Residents in Japan0.6943
Mean Age of Mother at 1st Child Birth0.6834
Consumption Expenditure of Lettuce0.6795
Mean Age of Father at 1st Child Birth0.6724
Number of Soccer Players (25 years of age or more)0.6661
Number of Bowling Players (25 years of age or more)0.6639
Delivery Cost0.6591
Number of Hikers (25 years of age or more)0.6588
Mobile Phone Subscriptions0.6573
Mean Age at First Marriage (Female)0.6381
Fitness Clubs0.6375
Number of Cyclists (25 years of age or more)0.6353
Savings per Household0.6321
Prefectural Income0.6272
Mean Age at First Marriage (Male)0.6216
Average Life Expectancy: Male0.6204
Average Residential Land Price0.6015
Starbucks0.6015
Japanese and Foreign HIV Carriers0.5923
Facebook User0.5911
Consumption Expenditure of Cucumbers0.5889
AIDS Patients0.588
Railway Passenger Transport0.5875
Population Ratio0.586
Population0.5859
Concentration of Population0.5676
Average Industrial Land Price0.5667
Rate of Nuclear Families0.5609
Spinach Production0.5583
Educational Expenses0.5414
Japanese HIV Carriers0.5394
Rate of Female Physicians0.5319
Consumption Expenditure of Shumai0.5152
Population Density0.5149
Average Commercial Land Price0.5099
Private High School Fee for 1st Year0.5083
Philippine Residents in Japan0.5
Number of Table Tennis Players (25 years of age or more)0.4856
Number of Badminton Players (25 years of age or more)0.4411
South and North Korean Residents in Japan0.4389
Consumption of Wine0.4106
Average time spent on Volunteer and social activities0.4074
Number of Baseball Players (25 years of age or more)0.3827
Gross Production0.3806
Brazilian Residents in Japan0.378
Lotteria0.3777
Consumption Expenditure of Short-Necked Clams0.3759
American Residents in Japan0.3725
Dental Clinics0.3694
Consumption Expenditure of White Potatoes0.3581
Consumption Expenditure of Pumpkins0.3448
Consumption Expenditure of Jiao-zi0.3401
Kentucky Fried Chicken0.3384
Salary of Prefectural Governors0.3357
Doutor Coffee0.3298
Consumption Expenditure of Broccoli0.3208
Consumption Expenditure of Rice Ball0.2997
Rate of Pediatricians0.2984
People Living Alone0.2916
Job Offer Retractions0.2876
Number of Children0.2801
Consumption Expenditure of Tomatoes0.2751
Industrial Production0.2439
Consumption Expenditure of Nori0.2434
Female Physicians0.2393
Elementary School Students0.2387
Vacation Homes0.2327
Attractiveness0.2198
Number of Ski & Snowboard Players (25 years of age or more)0.218
Rate of Obstetricians and Gynecologists0.2153
Consumption Expenditure of Chinese cabbage0.2096
Average Life Expectancy: Female0.2066
Dentists0.2058
Consumption Expenditure of Cabbage0.1978
Consumption Expenditure of Octopus0.1905
Mos Burger0.1808
Consumption Expenditure of Welsh Onions0.1804
Consumption Expenditure of °»Shimeji°…, mushrooms0.1679
Automobile Accidents0.1637
Convenience Stores0.1582
Obstetricians and Gynecologists0.136
Consumption Expenditure of Radishes0.1345
Consumption Expenditure of Katsuobushi0.1253
Consumption Expenditure of Cucumbers0.1194
Consumption Expenditure of Oysters0.1178
Video Arcades0.1067
Consumption Expenditure of Korokke0.1061
Expenditure of Pocket Money (Household Heads)0.1036
Consumption Expenditure of Carrots0.0968
Death due to Lung Cancer: Female0.0954
Consumption of Whisky0.0841
Consumption Expenditure of Bento0.0814
Consumption Expenditure of Onions0.0693
Number of Softball Players (25 years of age or more)0.06
Pediatricians0.0563
Consumption of Beef0.0436
Mister Donut-0.0039
Fish Catches-0.0135
Consumption of Pork-0.0168
Aged patients with Cancer-0.0207
Wheat Production-0.023
Number of Basketball Players (25 years of age or more)-0.0371
Temples-0.0375
Number of Gateball Players (25 years of age or more)-0.0379
Suicide Victims: Female-0.0444
H1N1 Influenza-0.0489
Consumption Expenditure of String beans-0.0512
Rate of Artificial Forest Land-0.0517
Murder Victims-0.0531
Amount of Greenhouse Gas Emission-0.0536
Consumption Expenditure of °»Enokitake°…, mushrooms-0.0574
Manufacturing Industries-0.0584
Consumption of Chicken-0.0605
Patients with Asthma-0.063
Game Parlors-0.0632
Consumption Expenditure of Horse Mackerel-0.0659
Rate of Smoking: Female-0.0666
Consumption Expenditure of Eggplants-0.0764
Consumption Expenditure of Flower-0.0814
Clinic-0.083
Rate of Empty Houses-0.0834
Death due to Bowel Cancer: Female-0.0935
Consumption Expenditure of Yellowtail-0.1002
Annual Rate of Unemployment-0.107
Patients with Major depressive disorder-0.1087
Soybean Production-0.1156
Consumption Expenditure of Sweet Potatoes-0.1211
Consumption Expenditure of Spinach-0.1224
Churches-0.1252
Death due to Stomach Cancer: Female-0.135
Practicing Physicians-0.1367
Number of Physicians-0.1419
Households Living on Welfare-0.1443
National Achievement Test-0.151
Consumption Expenditure of Salmon-0.1547
Number of Anglers (25 years of age or more)-0.1607
Death due to Liver Cancer: Female-0.1648
Book Stores-0.167
Consumption Expenditure of Fresh Water Clams-0.1837
Consumption Expenditure of Frozen Food-0.1892
Consumption Expenditure of Crabs-0.1918
Consumption Expenditure of Mackerel-0.1928
Consumption of Shochu-0.1965
Consumption of Beer-0.198
Consumption Expenditure of Shrimps & Lobsters-0.2435
Ages patients with Major depressive disorder-0.2451
Number of Volleyball Players (25 years of age or more)-0.2477
Death due to Liver Cancer: Male-0.25
Consumption Expenditure of Sardines-0.2536
Death due to Bowel Cancer: Male-0.2575
Pharmacies-0.2582
Consumption Expenditure of Wakame-0.2816
Rice Production-0.2867
Consumption Expenditure of Bonito-0.2868
Rate of Empty Rental Houses-0.2913
Male Physicians-0.3037
Consumption Expenditure of Kombu-0.3097
Consumption Expenditure of Other Raw Meat-0.3136
Length of Coastline-0.3238
Consumption of Alcohol-0.3365
Beds for Long-Term Care-0.3473
Rate of Intraregional Railway Passenger Transport-0.3512
Death due to Lung Cancer: Male-0.3514
Consumption Expenditure of Saury-0.3521
Death due to Old Age: Male-0.3522
Consumption Expenditure of Shellfish-0.3634
Rate of Smoking: Male-0.3734
Rate of Single-parent Households-0.3818
Consumption of Sake-0.387
Death due to Old Age: Female-0.3872
Automobiles Registered-0.3888
Shinto Shrines-0.4079
Pachinko Parlors-0.4099
Death due to Stomach Cancer: Male-0.4146
Homeownership-0.4488
Hospital-0.4501
Consumption Expenditure of Bean Sprouts-0.4508
Consumption Expenditure of Flounder-0.4577
Patients with Cancer-0.4582
Rate of Forest Land-0.4712
Consumption Expenditure of Scallops-0.5008
Patients with Hypertension-0.5153
Consumption Expenditure of Seafood-0.5344
Psychiatric Hospitals-0.537
Patients with Diabetes-0.5499
Beds for Mental Patients-0.5598
Suicide Victims: Male-0.5639
Consumption Expenditure of Cuttlefish-0.5743
Automobile Accident Fatalities-0.5743
Total Length of Rivers-0.5784
Rate of Double-Income Households-0.5827
Nurse-0.591
Area of Forest Land-0.6017
Area-0.6131
General Beds-0.6401
Local Government Employees-0.6672
Senior Citizens-0.669
Rate of Shotgun Wedding-0.6826
School Personnel-0.6836
Elementary Schools-0.7005
Death Due to Cancer : Female-0.7227
Death Due to Cancer : Male-0.7415
Fire Death Rate-0.7806
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