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

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StatsCorrelation
Coefficient
OrderAsc Desc
Outbound Tourists (25 years of age or more)0.7617
Participants in Karaoke (25 years of age or more)0.7557
English language learners (25 years of age or more)0.7454
Number of Swimmers (25 years of age or more)0.7407
Monthly Rent0.73
Moviegoers (25 years of age or more)0.7254
Number of Sports Players (25 years of age or more)0.7222
Smartphone Penetration0.7217
Taiwanese Residents in Japan0.7177
Nepali Residents in Japan0.7096
Valid Passports0.7065
Chinese Residents in Japan0.6991
Amateur Photographers (25 years of age or more)0.6965
Starbucks0.6961
Facebook User0.6952
Indian Residents in Japan0.6936
Average Residential Land Price0.6887
Japanese HIV Carriers0.683
Participants in Playing Instrumentst (25 years of age or more)0.6815
Broadband Contracts0.6812
Average Industrial Land Price0.6799
Real Estate Notary0.679
Internet Penetration0.6764
Population Ratio0.6752
Population0.6751
Mobile Phone Subscriptions0.6733
Railway Passenger Transport0.6704
Population Density0.6678
Book Readers (25 years of age or more)0.6652
Minimum Wage0.6636
Theatergoers (25 years of age or more)0.6609
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)0.6596
Japanese and Foreign HIV Carriers0.6529
Number of Tennis Players (25 years of age or more)0.6474
Number of Table Tennis Players (25 years of age or more)0.6448
Foreign Residents in Japan0.6443
Average Commercial Land Price0.6328
English Residents in Japan0.629
Concentration of Population0.6235
Cellphone Penetration0.6213
German Residents in Japan0.6206
Online Video Penetration0.6203
Italian Residents in Japan0.6194
American Residents in Japan0.6193
Matsuya0.6179
Number of Soccer Players (25 years of age or more)0.6168
Participants in Classical Music Concert (25 years of age or more)0.6165
Number of Bowling Players (25 years of age or more)0.609
Number of Cyclists (25 years of age or more)0.6053
Rate of Female Physicians0.6053
Mean Age at First Marriage (Female)0.5985
Video Game Players (25 years of age or more)0.5976
Online Shopping Penetration0.5937
Gyudon (Beef bowl) Stores0.5918
Mean Age at First Marriage (Male)0.5891
Mean Age of Father at 1st Child Birth0.5866
Number of Golfers (25 years of age or more)0.5864
Certified Public Accountant0.586
French Residents in Japan0.5859
AIDS Patients0.5834
Mean Age of Mother at 1st Child Birth0.5799
Working Hours0.5697
SNS Penetration0.5636
Fitness Clubs0.5633
Participants in Concert (25 years of age or more)0.5568
Domestic Tourists (Overnight stay)(25 years of age or more)0.5501
Educational Expenses0.549
Doutor Coffee0.5442
Consumption Expenditure of Handbags0.544
Consumption Expenditure of Lettuce0.5425
Attorney0.5386
Consumption Expenditure of Shao-mais0.538
Number of people who went back to their hometown (25 years of age or more)0.5365
Consumption Expenditure of Cheese0.5357
Natural Gas Consumption0.5332
Participants in Drawing Pictures and Sculpturing (25 years of age or more)0.5301
Participants in Cooking and Sweets Cooking (25 years of age or more)0.5267
Licensed Architect (1st grade)0.5154
Prefectural Income0.5046
Delivery Cost0.5023
Christians0.5009
Spinach Production0.5009
0.4984
Consumption Expenditure of Mineral Water0.4975
Consumption Expenditure of Black Tea0.4889
Russian Residents in Japan0.4888
Participants in Dance (25 years of age or more)0.4875
Number of campers (25 years of age or more)0.4871
Labor and Social Security Attorney0.4864
Participants in Arts and Culture Studies (25 years of age or more)0.4843
Sri Lankan Residents in Japan0.4809
Consumption Expenditure of Cucumbers0.4768
Number of Hikers (25 years of age or more)0.4741
Private High School Fee for 1st Year0.4711
Job Offer Retractions0.4678
Burmese Residents in Japan0.4677
Salary of Prefectural Governors0.4674
Yoshinoya0.4618
Consumption Amount of Umbrella0.4447
Rate of Nuclear Families0.4386
Kentucky Fried Chicken0.4354
Participants in Playing Japanese music (25 years of age or more)0.4351
Consumption Expenditure of Men's clothing0.4346
Consumption Expenditure of Ready-to-eat Food0.4319
Number of Basketball Players (25 years of age or more)0.4256
Consumption Expenditure of Salad0.4244
Consumption of Wine0.4166
Online Game Penetration0.4151
Number of Badminton Players (25 years of age or more)0.4092
Consumption Expenditure of Tomatoes0.4088
Participants in Dressmaking (25 years of age or more)0.403
Participants in Homemaking Training (25 years of age or more)0.4023
Gross Production0.3971
Participants in Shogi (25 years of age or more)0.3876
People Living Alone0.3824
Video Arcades0.3802
Consumption Expenditure of Butter0.3766
Consumption Expenditure of Cutlets0.3743
Consumption Expenditure of Clothing & Footwear0.3735
Vietnamese Residents in Japan0.3707
Dental Clinics0.3674
Consumption Expenditure of Nori0.3656
South and North Korean Residents in Japan0.3627
Number of Baseball Players (25 years of age or more)0.3619
Consumption Expenditure of Women's clothing0.3613
Consumption Expenditure of Women's Underwear0.3611
Participants in Crafts and Ceramics (25 years of age or more)0.3482
Consumption Expenditure of Packed Lunch0.3463
Participants in Go (25 years of age or more)0.346
Lotteria0.3452
Average Life Expectancy: Male0.3437
Consumption Expenditure of Oranges0.3322
Consumption Expenditure of Instant Dried Soup0.3312
Attractiveness0.3291
Consumption Expenditure of Accessories0.3252
Average time spent on Volunteer and social activities0.3187
Female Physicians0.3168
Consumption Expenditure of 'Yokan', Sweet Bean Jelly0.3134
Consumption Expenditure of Flavour Seasonings0.3111
Thai Residents in Japan0.3089
Nakau0.2982
Savings per Household0.2979
Consumption Expenditure of White Potatoes0.2978
Number of Children0.2945
Philippine Residents in Japan0.2924
Sukiya0.291
Participants in Chorus and Vocal music (25 years of age or more)0.2895
Consumption Expenditure of Medical Services0.2873
Internet cafe0.2859
Consumption Expenditure of Jiao-zi0.2839
Rate of Obstetricians and Gynecologists0.283
Consumption Expenditure of ”Kabayaki”,Broiled Eels0.2824
Employed Persons in Tertiary Industry0.2674
Consumption Expenditure of Short-Necked Clams0.2607
Number of Ski & Snowboard Players (25 years of age or more)0.2554
Consumption Expenditure of Cakes0.2527
Paved Rate0.2521
Participants in Japanese calligraphy (25 years of age or more)0.249
Consumption Expenditure of Children's dresses0.2468
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)0.2468
Spectator Sport Watchers (25 years of age or more)0.2463
Buddhists0.2434
Consumption Expenditure of Onigiri0.2429
H1N1 Influenza0.2426
Domestic Tourists (Overnight stay)(25 years of age or more)0.2398
Indonesian Residents in Japan0.2376
Peruvian Residents in Japan0.2373
Consumption Expenditure of Katsuobushi0.2369
Washing Charges0.2358
Consumption Expenditure of Hamburg Steak0.235
Annual Rate of Unemployment0.2242
Obstetricians and Gynecologists0.2231
Consumption Expenditure of Dressing0.2208
Game Parlors0.2146
Consumption Expenditure of Green Tea0.2122
Consumption Expenditure of Welsh Onions0.2075
Consumption Expenditure of 'Senbei', Japanese Crackers0.2071
Consumption Expenditure of Broccoli0.2059
Dentists0.2047
Elementary School Students0.2018
Consumption Expenditure of Jam0.1969
Consumption of Whisky0.1969
Consumption Expenditure of Cakes & Candies0.1916
Average Life Expectancy: Female0.1835
Participants in Child-Rearing Assistance Activities (25 years of age or more)0.1834
Engel's coefficient0.1796
Convenience Stores0.1794
Motorcycles Registered0.1782
Family Mart0.1771
Consumption Expenditure of Biscuits0.1761
Consumption Expenditure of Taros0.1739
Seven Eleven0.173
Consumption Expenditure of Strawberries0.1715
Consumption Expenditure of Watermelons0.1683
Consumption Expenditure of Root Vegetables0.1681
Consumption Expenditure of Radishes0.1674
Rate of Pediatricians0.1664
Consumption Expenditure of Fried food0.1578
Consumption Expenditure of Pickled Vegetables0.1559
Rate of Smoking: Female0.1538
Consumption of Beer0.1531
Komeda Coffee0.1503
Consumption Expenditure of Children's Underwear0.1495
Consumption Expenditure of Carrots0.1487
Meal TIme0.1471
Brazilian Residents in Japan0.1442
Mos Burger0.144
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce0.1431
Consumption Expenditure of “Yakitori”,Grilled Chickens0.1423
Participants in DIY (25 years of age or more)0.1314
Death due to Lung Cancer: Female0.1272
Consumption Expenditure of Frozen Food0.126
Consumption Expenditure of Fried Bean Curd0.1249
Mister Donut0.1107
Death due to Bowel Cancer: Male0.1104
Consumption Expenditure of Cucumbers0.1068
Consumption Expenditure of Chocolate0.1046
Consumption Expenditure of Onions0.1014
Fish Catches0.0926
Participants in Japanese tea ceremony (25 years of age or more)0.0895
Consumption Expenditure of Men's Underwear0.0852
Dance Studio, Dance Hall0.0831
Consumption Expenditure of Leafy Vegetables0.0825
Ministop0.0758
Consumption Expenditure of Puddings0.073
Households Living on Welfare0.0727
Participants in Knitting and Handicraft (25 years of age or more)0.0696
Wheat Production0.0678
Consumption Expenditure of Milk0.0608
Consumption Expenditure of Tomato Ketchup0.0574
Consumption Expenditure of String beans0.0453
Consumption of Pork0.0451
National Achievement Test0.0445
Consumption Expenditure of 'Kasutera', Sponge Cakes0.0437
Soybean Production0.0409
Consumption of Alcohol0.0353
Death due to Bowel Cancer: Female0.0289
Consumption Expenditure of Pumpkins0.0258
Consumption Expenditure of Fermented Lactic Beverages0.0244
Seicomart0.0088
Industrial Production0.0077
Women's Housekeeping Time0.0052
Consumption Expenditure of Margarine0.0013
Saveon0.0011
Participants in Japanese flower arrangement (25 years of age or more)-0.0012
Aged patients with Cancer-0.0027
Consumption Expenditure of Croquettes-0.0038
Consumption Expenditure of Sweet Potatoes-0.0061
Consumption Expenditure of Jelly-0.0063
Curator-0.0065
Riding Ground-0.0083
Consumption of Beef-0.0087
Consumption Expenditure of Eggplants-0.0099
Consumption Expenditure of Spinach-0.0119
Pediatricians-0.0133
Poplar-0.0149
Consumption Expenditure of Yellowtail-0.0179
Consumption Expenditure of School Uniforms-0.018
Consumption of Shochu-0.0207
Expenditure of Pocket Money (Household Heads)-0.031
Consumption Expenditure of Mandarin Oranges-0.0385
Murder Victims-0.0433
Consumption Expenditure of Chinese cabbage-0.0436
Automobile Accidents-0.0515
Consumption Expenditure of Cabbage-0.0534
Consumption Expenditure of Horse Mackerel-0.0565
Churches-0.0647
Consumption Expenditure of Candies-0.0678
Traffic-Related Death Rate - Motorcyclist-0.0685
Consumption Expenditure of Coffee-0.0724
Rate of Artificial Forest Land-0.0734
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings-0.0749
Amount of Greenhouse Gas Emission-0.0754
Consumption Expenditure of Carbonated Beverages-0.0768
Firing Range-0.0776
Consumption Expenditure of Citrus Fruits-0.0805
Death due to Liver Cancer: Female-0.0828
Number of Gateball Players (25 years of age or more)-0.0846
Consumption Expenditure of Octopus-0.0851
Participants in Japanese Dance (25 years of age or more)-0.0882
Consumption Expenditure of Crabs-0.1008
Drowning Death Rate (Bath)-0.106
Daily Yamazaki-0.1137
Number of Physicians-0.1164
Practicing Physicians-0.1183
Consumption Expenditure of Salmon-0.1211
Japanese Archery Range-0.1394
Participants in Community Safety Activities (25 years of age or more)-0.1405
Rice Production-0.1414
Consumption Expenditure of Sardines-0.1442
Consumption Expenditure of Kombu-0.1459
Golf Course-0.1476
Vacation Homes-0.1514
Skating Rink-0.157
Traffic-Related Death Rate - Bicyclist-0.1575
Consumption Expenditure of Fried & Salted Snack Crackers-0.1619
Suicide Victims: Female-0.1679
Rate of Smoking: Male-0.1685
Consumption of Chicken-0.1689
Death due to Lung Cancer: Male-0.1726
Consumption Expenditure of Bean Sprouts-0.1802
Rate of Intraregional Railway Passenger Transport-0.1815
Patients with Asthma-0.1819
Participants in Nature Conservation Activities (25 years of age or more)-0.1835
Participants in Volunteer Work (25 years of age or more)-0.1873
Beds for Long-Term Care-0.19
Consumption Expenditure of Fresh Water Clams-0.1949
Length of Coastline-0.1954
Consumption Expenditure of “Shimeji”, mushrooms-0.2013
Temples-0.2037
Consumption Expenditure of Other Raw Meat-0.2076
Employed Persons in Secondary Industry-0.2138
Consumption Expenditure of Bananas-0.2149
Consumption Expenditure of Wakame-0.216
Ministry of Health, Labour and Welfare-0.2176
Death due to Liver Cancer: Male-0.2222
Participants in Gardening (25 years of age or more)-0.2225
Number of Softball Players (25 years of age or more)-0.2246
Patients with Major depressive disorder-0.2252
Lowson-0.23
Electric Energy Consumption-0.2312
Baseball ground-0.2385
Consumption Expenditure of Scallops-0.2396
Consumption Expenditure of Worcester Sauce-0.2417
Consumption Expenditure of Bean curd-0.2422
Consumption Expenditure of Mackerel-0.2461
Consumption Expenditure of Oysters-0.2476
Consumption Expenditure of Flower-0.2521
Consumption Expenditure of Edible Oil-0.2554
Number of Anglers (25 years of age or more)-0.2609
Consumption Expenditure of Bonito-0.265
Consumption Expenditure of Shrimps & Lobsters-0.2688
Psychiatric Hospitals-0.2705
Athletic Field-0.2705
Husband and Wife-0.2713
Male Physicians-0.2716
Pharmacies-0.2736
Consumption Expenditure of Vinegar-0.274
Sumo Ring-0.2744
Consumption Expenditure of Soybean Paste-0.2756
Death due to Stomach Cancer: Female-0.276
Book Stores-0.2803
Consumption Expenditure of 'Manju', Bean-jam Cakes-0.2831
Manufacturing Industries-0.2836
Clinic-0.2877
Number of Volleyball Players (25 years of age or more)-0.2882
Shintoists-0.2883
Hospital-0.2905
Mean Elevation-0.2923
Consumption Expenditure of Flounder-0.2967
Ages patients with Major depressive disorder-0.2976
Consumption Expenditure of Saury-0.3015
Rate of Single-parent Households-0.3033
Consumption Expenditure of Instant Curry Mix-0.3174
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.3196
Consumption of Sake-0.321
Consumption Expenditure of Shellfish-0.3267
Consumption Expenditure of “Enokitake”, mushrooms-0.3304
Beds for Mental Patients-0.3334
Monthly Cost of Water-0.3342
Death due to Stomach Cancer: Male-0.3346
Consumption Expenditure of Fruits-0.3452
Consumption Expenditure of Cuttlefish-0.3476
Consumption Expenditure of Seafood-0.349
Rate of Shotgun Wedding-0.3503
Shinto Shrines-0.358
Consumption Expenditure of Mushrooms-0.3592
Bowling Alley-0.3601
Croquet and Gateball Field-0.3673
Ski Resort-0.3678
Kerosene Consumption-0.3706
Rate of Empty Rental Houses-0.3777
Patients with Cancer-0.3835
Consumption Expenditure of Burdocks-0.3892
Pachinko Players (25 years of age or more)-0.3951
Consumption Expenditure of Apples-0.3971
Drowning Death Rate (Except for Bath)-0.4053
Rest and Relaxation Ttime-0.4064
Bus and Taxi Registered-0.4093
Consumption Expenditure of Salt-0.4144
Rate of Empty Houses-0.4149
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning-0.4171
Theaters and Concert halls-0.4185
Participants in Community Development Activities (25 years of age or more)-0.4222
Consumption Expenditure of Soy Sauce-0.4288
Suicide Victims: Male-0.4301
Patients with Hypertension-0.4572
Kendo Hall-0.4589
Nurse-0.4621
Pachinko Parlors-0.4657
Traffic-Related Death Rate - Pedestrian-0.4731
Liquefied Petroleum Gas Consumption-0.4736
Passenger Cars Registered-0.4764
Judo Hall-0.4836
Homeownership-0.4891
Total Floor Space of Residential Buildings of one's own-0.4917
Employed Persons in Primary Industry-0.4993
General Beds-0.5005
Mass Media Viewing TIme-0.5027
Tennis Court-0.5189
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings-0.5203
Rate of Double-Income Households-0.526
Swimming Pool-0.5324
Camp Site-0.54
Consumption Expenditure of Sugar-0.5423
Automobiles Registered-0.5457
Gym-0.5501
Local Government Employees-0.551
Patients with Diabetes-0.5589
Elementary Schools-0.5735
School Personnel-0.5766
Area-0.5807
Death due to Old Age: Male-0.5927
Death due to Old Age: Female-0.5962
Area of Forest Land-0.5964
Total Floor Space of Residential Buildings of rental housing-0.5981
Traffic-Related Death Rate - All-0.6018
Sleeping Hours-0.6167
Death Due to Cancer : Female-0.6236
Fire Death Rate-0.6268
Total Road Length-0.6332
Total Length of Rivers-0.6349
Traffic-Related Death Rate - Driver-0.6453
Trucks Registered-0.647
Rate of Forest Land-0.6925
Death Due to Cancer : Male-0.7049
Senior Citizens-0.7478
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