Correlation with "Participants in Cooking and Sweets Cooking (25 years of age or more)"

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StatsCorrelation
Coefficient
OrderAsc Desc
Amateur Photographers (25 years of age or more)0.7838
Participants in Classical Music Concert (25 years of age or more)0.7717
Domestic Tourists (Overnight stay)(25 years of age or more)0.7588
Participants in Playing Instrumentst (25 years of age or more)0.7431
Number of people who went back to their hometown (25 years of age or more)0.742
Number of Swimmers (25 years of age or more)0.7418
Participants in Drawing Pictures and Sculpturing (25 years of age or more)0.7243
Cellphone Penetration0.7234
English language learners (25 years of age or more)0.7133
Outbound Tourists (25 years of age or more)0.7128
Participants in Concert (25 years of age or more)0.7098
Number of Sports Players (25 years of age or more)0.7098
Monthly Rent0.7045
Internet Penetration0.7042
Participants in Homemaking Training (25 years of age or more)0.6991
Smartphone Penetration0.6987
Valid Passports0.6955
Number of Tennis Players (25 years of age or more)0.6951
Book Readers (25 years of age or more)0.6921
Theatergoers (25 years of age or more)0.6861
Video Game Players (25 years of age or more)0.673
Participants in Arts and Culture Studies (25 years of age or more)0.6709
Moviegoers (25 years of age or more)0.6627
Delivery Cost0.6626
Average Life Expectancy: Male0.661
Minimum Wage0.6509
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)0.6474
Consumption Expenditure of Men's clothing0.6445
Consumption Expenditure of Medical Services0.6438
Broadband Contracts0.6431
Real Estate Notary0.6411
Participants in Chorus and Vocal music (25 years of age or more)0.6355
Participants in Dressmaking (25 years of age or more)0.6306
Mean Age of Mother at 1st Child Birth0.6281
Online Shopping Penetration0.6246
0.6246
Consumption Expenditure of Black Tea0.6236
Consumption Expenditure of Butter0.6226
Consumption Expenditure of Cheese0.6214
Mean Age of Father at 1st Child Birth0.6155
Number of Soccer Players (25 years of age or more)0.6043
Chinese Residents in Japan0.5968
Educational Expenses0.5963
Mobile Phone Subscriptions0.5905
Railway Passenger Transport0.5892
Consumption Expenditure of Women's clothing0.5883
Spectator Sport Watchers (25 years of age or more)0.587
German Residents in Japan0.5865
Participants in Karaoke (25 years of age or more)0.5837
Number of Table Tennis Players (25 years of age or more)0.5825
Licensed Architect (1st grade)0.5811
Number of Hikers (25 years of age or more)0.5804
Consumption Expenditure of Clothing & Footwear0.5739
Private High School Fee for 1st Year0.5731
Population0.5685
Population Ratio0.5684
Number of Badminton Players (25 years of age or more)0.5681
Savings per Household0.5637
Online Video Penetration0.5593
Average Residential Land Price0.5587
Natural Gas Consumption0.5473
Facebook User0.5455
SNS Penetration0.5434
Concentration of Population0.5389
Matsuya0.5375
Participants in Knitting and Handicraft (25 years of age or more)0.5331
Working Hours0.5326
Number of Golfers (25 years of age or more)0.5272
Number of Joggers (25 years of age or more)0.5267
Consumption Expenditure of Jam0.5238
Consumption Expenditure of Shao-mais0.5231
Number of Cyclists (25 years of age or more)0.5218
English Residents in Japan0.5204
Domestic Tourists (Overnight stay)(25 years of age or more)0.5198
Consumption Expenditure of Cucumbers0.5193
Salary of Prefectural Governors0.5149
Foreign Residents in Japan0.5127
Average Industrial Land Price0.5126
Mean Age at First Marriage (Female)0.5112
Consumption Expenditure of Handbags0.5066
Participants in Shogi (25 years of age or more)0.5017
Population Density0.4985
Mean Age at First Marriage (Male)0.4982
Participants in Crafts and Ceramics (25 years of age or more)0.4933
Number of campers (25 years of age or more)0.4898
Average Commercial Land Price0.4877
Consumption Expenditure of Lettuce0.4804
Indian Residents in Japan0.4802
Participants in Japanese calligraphy (25 years of age or more)0.4714
Fitness Clubs0.4672
Consumption Expenditure of Milk0.4656
Gyudon (Beef bowl) Stores0.4628
Number of Baseball Players (25 years of age or more)0.461
Rate of Female Physicians0.4608
Taiwanese Residents in Japan0.4593
Italian Residents in Japan0.4563
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)0.4482
French Residents in Japan0.4471
Doutor Coffee0.445
Participants in Dance (25 years of age or more)0.4447
Labor and Social Security Attorney0.4385
Certified Public Accountant0.4382
Japanese HIV Carriers0.4349
Consumption Expenditure of Broccoli0.4336
Japanese and Foreign HIV Carriers0.4253
Prefectural Income0.4214
Starbucks0.4179
Consumption Expenditure of Flavour Seasonings0.4169
Christians0.413
Consumption Amount of Umbrella0.4122
Washing Charges0.4044
Average time spent on Volunteer and social activities0.392
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce0.3903
Yoshinoya0.3899
AIDS Patients0.3895
Consumption Expenditure of Instant Dried Soup0.3855
Consumption Expenditure of Children's dresses0.3733
Attorney0.3716
Spinach Production0.3708
Consumption Expenditure of Pumpkins0.3682
Consumption Expenditure of ”Kabayaki”,Broiled Eels0.3658
Nepali Residents in Japan0.3638
Number of Bowling Players (25 years of age or more)0.3636
Average Life Expectancy: Female0.3592
Consumption Expenditure of Cakes & Candies0.3549
Consumption Expenditure of Green Tea0.35
South and North Korean Residents in Japan0.3492
Participants in Playing Japanese music (25 years of age or more)0.3455
Consumption Expenditure of White Potatoes0.3451
Lotteria0.3423
Dentists0.3407
Dental Clinics0.3402
Rate of Nuclear Families0.3399
Participants in Child-Rearing Assistance Activities (25 years of age or more)0.3396
Attractiveness0.3386
Consumption Expenditure of Leafy Vegetables0.3354
Consumption Expenditure of Medicines0.3327
Number of Ski & Snowboard Players (25 years of age or more)0.3295
Burmese Residents in Japan0.3212
Vietnamese Residents in Japan0.3156
Consumption of Wine0.311
Consumption Expenditure of Women's Underwear0.3105
Nakau0.306
Participants in Go (25 years of age or more)0.3044
Women's Housekeeping Time0.3039
Consumption Expenditure of Root Vegetables0.2995
Consumption Expenditure of Men's Underwear0.2952
American Residents in Japan0.2932
Consumption Expenditure of Cabbage0.2922
Kentucky Fried Chicken0.2856
Participants in Japanese flower arrangement (25 years of age or more)0.2849
Consumption Expenditure of Pickled Vegetables0.2838
Consumption Expenditure of Short-Necked Clams0.2806
Meal TIme0.2714
Number of Basketball Players (25 years of age or more)0.2705
Gross Production0.2693
Consumption Expenditure of 'Senbei', Japanese Crackers0.2641
Consumption Expenditure of Welsh Onions0.2607
Consumption Expenditure of Oranges0.2582
Internet cafe0.258
Consumption Expenditure of Tomatoes0.258
Consumption Expenditure of Dried Laver0.2554
People Living Alone0.2488
Thai Residents in Japan0.2468
Consumption Expenditure of Fried Bean Curd0.246
Consumption Expenditure of Octopus0.2434
Sri Lankan Residents in Japan0.2395
Consumption Expenditure of Onions0.2394
Rate of Obstetricians and Gynecologists0.2344
Buddhists0.2324
Consumption Expenditure of Oysters0.2322
Seven Eleven0.2308
Consumption Expenditure of Tomato Ketchup0.2285
Participants in DIY (25 years of age or more)0.2184
Philippine Residents in Japan0.2174
Consumption Expenditure of Salad0.2165
Consumption Expenditure of Ready-to-eat Food0.2157
Consumption Expenditure of Radishes0.2149
Participants in Japanese tea ceremony (25 years of age or more)0.2132
Consumption Expenditure of Strawberries0.2101
Job Offer Retractions0.2085
Female Physicians0.2043
Consumption Expenditure of Dressing0.2033
Russian Residents in Japan0.1968
Online Game Penetration0.1951
Komeda Coffee0.1945
Consumption of Whisky0.1887
Consumption Expenditure of Eggplants0.1862
Consumption Expenditure of Onigiri0.1833
Rate of Pediatricians0.1787
Consumption Expenditure of Accessories0.1782
Consumption Expenditure of “Shimeji”, mushrooms0.1761
Consumption Expenditure of Mineral Water0.1731
Consumption Expenditure of Taros0.1692
Consumption Expenditure of Biscuits0.1662
Consumption Expenditure of 'Yokan', Sweet Bean Jelly0.1651
Consumption Expenditure of Cakes0.1636
Peruvian Residents in Japan0.1615
Number of Children0.1611
Brazilian Residents in Japan0.1533
Paved Rate0.1486
Patient with Cavity0.1477
Obstetricians and Gynecologists0.1476
Consumption Expenditure of Margarine0.1445
Soybean Production0.1419
Consumption Expenditure of Watermelons0.1401
Consumption Expenditure of Chocolate0.1388
Ministop0.1333
Consumption Expenditure of Jiao-zi0.1324
Husband and Wife0.1259
Patients with Major depressive disorder (aged 65 or above)0.1174
Elementary School Students0.1173
Consumption Expenditure of Children's Underwear0.1172
Consumption Expenditure of Coffee0.1141
Engel's coefficient0.1137
Drowning Death Rate (Bath)0.1134
Consumption Expenditure of Candies0.1122
Participants in Volunteer Work (25 years of age or more)0.1115
Consumption of Beef0.11
Consumption Expenditure of Cucumbers0.1084
Patients with Diabetes (aged 65 or above)0.1083
Consumption Expenditure of String beans0.108
Consumption of Pork0.1078
Consumption Expenditure of Bananas0.1065
Patients with Major depressive disorder0.1043
Consumption Expenditure of Chinese cabbage0.1009
Participants in Community Safety Activities (25 years of age or more)0.0978
Expenditure of Pocket Money (Household Heads)0.0964
Consumption Expenditure of Carrots0.0942
Consumption Expenditure of Mushrooms0.0894
Employed Persons in Tertiary Industry0.0892
Consumption Expenditure of Croquettes0.0889
Indonesian Residents in Japan0.0884
Industrial Production0.0821
Wheat Production0.0806
Patient with Fracture0.0756
Motorcycles Registered0.0731
Consumption Expenditure of Cutlets0.067
Consumption Expenditure of Spinach0.0662
Annual Rate of Unemployment0.0624
Consumption Expenditure of Worcester Sauce0.0599
Poplar0.0569
Sukiya0.0568
Consumption Expenditure of Puddings0.053
Patients with Cancer (aged 65 or above)0.0485
Participants in Nature Conservation Activities (25 years of age or more)0.0445
Highest temperature0.0427
Consumption Expenditure of Jelly0.0411
Consumption Expenditure of Pickled Fish0.0387
Consumption of Chicken0.0374
Shintoists0.0366
Curator0.0349
Vacation Homes0.0331
Patients with Asthma0.0314
Consumption Expenditure of 'Kasutera', Sponge Cakes0.0306
H1N1 Influenza0.03
Seicomart0.0263
Consumption Expenditure of “Enokitake”, mushrooms0.0242
Death due to Lung Cancer: Female0.0178
Pediatricians0.0129
Traffic-Related Death Rate - Motorcyclist0.0118
Dance Studio, Dance Hall0.0067
Participants in Gardening (25 years of age or more)0.0047
Consumption Expenditure of Salmon0.0019
Number of Gateball Players (25 years of age or more)-0.0021
Daily Yamazaki-0.0046
Mos Burger-0.0052
Rice Production-0.0058
Consumption Expenditure of “Yakitori”,Grilled Chickens-0.0109
Family Mart-0.0159
Temples-0.0202
Consumption Expenditure of Sweet Potatoes-0.0225
Consumption Expenditure of Flower-0.0276
Riding Ground-0.0282
Death due to Bowel Cancer: Female-0.0302
National Achievement Test-0.0306
Patient with Fracture-0.0344
Employed Persons in Secondary Industry-0.0363
Mister Donut-0.0507
Participants in Community Development Activities (25 years of age or more)-0.053
Ski Resort-0.0546
Fish Catches-0.0547
Clinic-0.0554
Rate of Smoking: Female-0.0568
Consumption Expenditure of Shrimps & Lobsters-0.0582
Automobile Accidents-0.059
Mean Elevation-0.0637
Consumption Expenditure of Yellowtail-0.0745
Amount of Greenhouse Gas Emission-0.0772
Video Arcades-0.0773
Rate of Artificial Forest Land-0.0816
Consumption Expenditure of Frozen Food-0.0822
Consumption Expenditure of Horse Mackerel-0.0884
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.0903
Consumption Expenditure of ”Wakame”, seaweed-0.091
Consumption Expenditure of Packed Lunch-0.0943
Skating Rink-0.0961
Murder Victims-0.0971
Consumption Expenditure of Saury-0.0977
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings-0.0989
Monthly Cost of Water-0.1038
Consumption Expenditure of Mandarin Oranges-0.107
Consumption Expenditure of Vinegar-0.1093
Consumption Expenditure of Burdocks-0.1095
Number of Softball Players (25 years of age or more)-0.1096
Consumption Expenditure of Fermented Lactic Beverages-0.1096
Pharmacies-0.1103
Golf Course-0.1159
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried-0.1163
Convenience Stores-0.1187
Households Living on Welfare-0.125
Number of Physicians-0.1335
Japanese Archery Range-0.1369
Practicing Physicians-0.1384
Saveon-0.1397
Game Parlors-0.1417
Suicide Victims: Female-0.1442
Consumption Expenditure of Fruits-0.1445
Ministry of Health, Labour and Welfare-0.1489
Consumption Expenditure of Fried food-0.1509
Consumption Expenditure of Shellfish-0.1514
Number of Volleyball Players (25 years of age or more)-0.1517
Consumption of Shochu-0.1523
Consumption Expenditure of Bean Sprouts-0.1527
Death due to Stomach Cancer: Female-0.1528
Consumption Expenditure of Crabs-0.1531
Consumption of Sake-0.1599
Consumption Expenditure of Bean curd-0.1631
Consumption Expenditure of Sardines-0.1639
Consumption Expenditure of Apples-0.1655
Patients with Cancer-0.1659
Manufacturing Industries-0.1724
Participants in Japanese Dance (25 years of age or more)-0.1735
Consumption Expenditure of Hamburg Steak-0.1745
Patients with Hypertension (aged 65 or above)-0.1832
Firing Range-0.1855
Consumption Expenditure of Citrus Fruits-0.1864
Death due to Liver Cancer: Female-0.1917
Consumption of Alcohol-0.1932
Consumption Expenditure of Flounder-0.1935
Consumption of Beer-0.2008
Consumption Expenditure of School Uniforms-0.2014
Consumption Expenditure of Other Raw Meat-0.2025
Consumption Expenditure of Fresh Water Clams-0.2026
Croquet and Gateball Field-0.2077
Book Stores-0.2149
BMI Male-0.2167
Consumption Expenditure of Dried Tangle-0.2201
Consumption Expenditure of Sugar-0.226
Death due to Lung Cancer: Male-0.2269
Consumption Expenditure of Carbonated Beverages-0.2333
Consumption Expenditure of Soybean Paste-0.2341
Rate of Intraregional Railway Passenger Transport-0.2456
Rate of Empty Rental Houses-0.2477
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning-0.2503
Consumption Expenditure of Scallops-0.2548
Consumption Expenditure of Soy Sauce-0.2565
Patients with Dyslipidemia-0.2579
Consumption Expenditure of Mackerel-0.2581
Rate of Smoking: Male-0.2593
Churches-0.2598
Male Physicians-0.2603
Theaters and Concert halls-0.261
Consumption Expenditure of Salt-0.2619
Baseball ground-0.262
Kerosene Consumption-0.2691
Tennis Court-0.272
Electric Energy Consumption-0.2732
Patients with Diabetes-0.2743
Traffic-Related Death Rate - Bicyclist-0.2745
Consumption Expenditure of 'Manju', Bean-jam Cakes-0.2804
Consumption Expenditure of Seafood-0.2826
Consumption Expenditure of Fried & Salted Snack Crackers-0.2837
Death due to Stomach Cancer: Male-0.2891
Homeownership-0.2943
Total Floor Space of Residential Buildings of one's own-0.297
Length of Coastline-0.302
Number of Anglers (25 years of age or more)-0.3089
Pachinko Players (25 years of age or more)-0.3142
Death due to Bowel Cancer: Male-0.3191
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings-0.3216
Rest and Relaxation Ttime-0.3343
Death due to Old Age: Male-0.3405
Rate of Empty Houses-0.3419
Death due to Liver Cancer: Male-0.3436
Consumption Expenditure of Cuttlefish-0.3448
Consumption Expenditure of Instant Curry Mix-0.3573
Consumption Expenditure of Edible Oil-0.37
Judo Hall-0.3714
Shinto Shrines-0.3739
Kendo Hall-0.3813
Sumo Ring-0.3842
Death due to Old Age: Female-0.3849
Liquefied Petroleum Gas Consumption-0.3906
Psychiatric Hospitals-0.3917
Bus and Taxi Registered-0.4007
Rate of Forest Land-0.409
Consumption Expenditure of Bonito-0.4174
Athletic Field-0.4292
Beds for Long-Term Care-0.4303
Swimming Pool-0.4441
Bowling Alley-0.4449
Camp Site-0.4468
Area-0.4609
Gym-0.4637
Beds for Mental Patients-0.4684
Area of Forest Land-0.4685
Hospital-0.4746
Total Floor Space of Residential Buildings of rental housing-0.4776
Pachinko Parlors-0.4807
Lowson-0.4817
Employed Persons in Primary Industry-0.4841
Passenger Cars Registered-0.4901
BMI Female-0.4957
Total Length of Rivers-0.504
Rate of Double-Income Households-0.5068
Rate of Single-parent Households-0.5108
General Beds-0.5183
Death Due to Cancer : Female-0.5195
Total Road Length-0.5239
Traffic-Related Death Rate - Driver-0.5264
Nurse-0.5305
Traffic-Related Death Rate - Pedestrian-0.5379
Drowning Death Rate (Except for Bath)-0.538
Automobiles Registered-0.555
Suicide Victims: Male-0.5612
Patients with Cerebral Infarction (aged 65 or above)-0.568
Death Due to Cancer : Male-0.5715
Fire Death Rate-0.5788
Senior Citizens-0.5801
Traffic-Related Death Rate - All-0.585
Rate of Shotgun Wedding-0.5975
Local Government Employees-0.612
Elementary Schools-0.6242
Mass Media Viewing TIme-0.625
Sleeping Hours-0.6272
School Personnel-0.6376
Trucks Registered-0.6461
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