Correlation with "Participants in Crafts and Ceramics (25 years of age or more)"

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StatsCorrelation
Coefficient
OrderAsc Desc
Participants in Arts and Culture Studies (25 years of age or more)0.7279
Participants in Drawing Pictures and Sculpturing (25 years of age or more)0.7231
Participants in Chorus and Vocal music (25 years of age or more)0.718
Book Readers (25 years of age or more)0.7122
Participants in Concert (25 years of age or more)0.6906
Amateur Photographers (25 years of age or more)0.6874
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)0.6851
Mean Age of Father at 1st Child Birth0.6791
Participants in Classical Music Concert (25 years of age or more)0.6741
Number of Swimmers (25 years of age or more)0.6564
Number of Sports Players (25 years of age or more)0.6561
Domestic Tourists (Overnight stay)(25 years of age or more)0.6517
Number of Hikers (25 years of age or more)0.6513
Internet Penetration0.647
Delivery Cost0.6448
Theatergoers (25 years of age or more)0.6446
Mean Age of Mother at 1st Child Birth0.6427
English language learners (25 years of age or more)0.6387
Participants in Playing Instrumentst (25 years of age or more)0.6348
Smartphone Penetration0.6345
Outbound Tourists (25 years of age or more)0.6328
Cellphone Penetration0.6295
Consumption Expenditure of Jam0.6254
Mean Age at First Marriage (Male)0.622
Monthly Rent0.6197
Savings per Household0.6152
Mean Age at First Marriage (Female)0.6148
Minimum Wage0.6043
Number of Tennis Players (25 years of age or more)0.6007
Consumption Expenditure of Butter0.5981
Consumption Expenditure of Black Tea0.5961
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)0.594
Number of Soccer Players (25 years of age or more)0.5932
Broadband Contracts0.5931
Moviegoers (25 years of age or more)0.59
Natural Gas Consumption0.5888
Participants in Dressmaking (25 years of age or more)0.5881
Matsuya0.5858
Real Estate Notary0.5834
Gyudon (Beef bowl) Stores0.5811
German Residents in Japan0.581
Number of people who went back to their hometown (25 years of age or more)0.5795
Consumption Expenditure of Shao-mais0.5777
Chinese Residents in Japan0.5681
Number of Cyclists (25 years of age or more)0.564
Consumption Expenditure of Men's clothing0.5639
Railway Passenger Transport0.56
Consumption Expenditure of Pickled Vegetables0.5547
Foreign Residents in Japan0.5546
Participants in Knitting and Handicraft (25 years of age or more)0.5516
Video Game Players (25 years of age or more)0.551
Consumption Expenditure of Lettuce0.5501
Number of Golfers (25 years of age or more)0.5499
Consumption Expenditure of Medical Services0.5477
Participants in Homemaking Training (25 years of age or more)0.5462
French Residents in Japan0.5442
Consumption Expenditure of Cheese0.5436
Mobile Phone Subscriptions0.5386
Taiwanese Residents in Japan0.5333
Average Life Expectancy: Male0.5331
Average Residential Land Price0.5301
Spinach Production0.5249
Domestic Tourists (Overnight stay)(25 years of age or more)0.5218
English Residents in Japan0.5138
Consumption Expenditure of ”Kabayaki”,Broiled Eels0.511
Indian Residents in Japan0.5105
Licensed Architect (1st grade)0.5101
Consumption Expenditure of Clothing & Footwear0.5098
Participants in Japanese calligraphy (25 years of age or more)0.5062
Educational Expenses0.506
Online Shopping Penetration0.502
Patent Registrations0.4974
Italian Residents in Japan0.4971
Participants in Cooking and Sweets Cooking (25 years of age or more)0.4933
Consumption Expenditure of Instant Dried Soup0.4918
Consumption Expenditure of Milk0.4881
Rate of Female Physicians0.4877
Private High School Fee for 1st Year0.4823
Consumption Expenditure of Cucumbers0.4812
Number of Table Tennis Players (25 years of age or more)0.4798
Average Commercial Land Price0.4788
Consumption Expenditure of Broccoli0.4784
Average Industrial Land Price0.4783
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce0.4769
Nakau0.4762
Concentration of Population0.475
Valid Passports0.4747
South and North Korean Residents in Japan0.4724
Fitness Clubs0.4698
Consumption Expenditure of Handbags0.4655
Population Ratio0.4606
Population0.4605
Japanese and Foreign HIV Carriers0.4586
Patent Attorneys0.4586
Starbucks0.4585
Doutor Coffee0.4581
Labor and Social Security Attorney0.445
Consumption of Wine0.4421
Facebook User0.4418
AIDS Patients0.4399
Consumption Expenditure of Women's Underwear0.4331
Japanese HIV Carriers0.43
Consumption Expenditure of Women's clothing0.4281
Prefectural Income0.4249
SNS Penetration0.4246
0.4217
Number of campers (25 years of age or more)0.4212
Certified Public Accountant0.4179
Consumption Expenditure of Leafy Vegetables0.4158
Participants in Karaoke (25 years of age or more)0.4157
Consumption Expenditure of Onigiri0.4149
Average time spent on Volunteer and social activities0.4141
Trademark Registrations0.4118
Design Registrations0.4114
Consumption Expenditure of Cakes & Candies0.4074
Participants in Shogi (25 years of age or more)0.4069
Highest temperature0.4056
Consumption Expenditure of Strawberries0.4056
Spectator Sport Watchers (25 years of age or more)0.4037
Population Density0.4018
Meal TIme0.4001
Consumption Expenditure of 'Senbei', Japanese Crackers0.3998
Number of Badminton Players (25 years of age or more)0.3985
Utility Model Registrations0.3964
Consumption Expenditure of Salad0.3846
Consumption Expenditure of Oranges0.3796
Participants in Go (25 years of age or more)0.3775
Participants in Playing Japanese music (25 years of age or more)0.3755
Attorney0.3715
Consumption Expenditure of Puddings0.3662
Consumption Expenditure of Welsh Onions0.3583
Yoshinoya0.3533
Dental Clinics0.3505
Number of Joggers (25 years of age or more)0.3482
Participants in Dance (25 years of age or more)0.3455
Nepali Residents in Japan0.3451
Thai Residents in Japan0.342
Consumption Expenditure of Croquettes0.3353
Consumption Expenditure of Tomatoes0.3348
Consumption Expenditure of Flavour Seasonings0.3307
Number of Ski & Snowboard Players (25 years of age or more)0.3303
Consumption of Whisky0.33
Consumption Expenditure of Jiao-zi0.3282
Salary of Prefectural Governors0.3256
Consumption Expenditure of Pumpkins0.3247
Burmese Residents in Japan0.3116
Sri Lankan Residents in Japan0.3113
Attractiveness0.3087
Consumption Expenditure of Root Vegetables0.3079
Consumption Expenditure of Coffee0.3051
Consumption Expenditure of White Potatoes0.3042
Consumption Expenditure of Chinese cabbage0.3016
Consumption Expenditure of Dried Laver0.3013
Rate of Nuclear Families0.2995
Washing Charges0.2948
Rate of Pediatricians0.2941
Consumption Expenditure of Flower0.2928
Consumption Expenditure of Accessories0.2928
Consumption Expenditure of Ready-to-eat Food0.2924
Philippine Residents in Japan0.2907
Consumption Expenditure of Radishes0.2905
Consumption Expenditure of Chocolate0.2878
Consumption Expenditure of Biscuits0.2874
Female Physicians0.2797
Consumption Expenditure of Men's Underwear0.2795
Consumption Expenditure of Short-Necked Clams0.277
People Living Alone0.2753
Consumption Expenditure of Mineral Water0.2736
Pediatricians0.2725
Online Video Penetration0.2704
Consumption Expenditure of 'Yokan', Sweet Bean Jelly0.269
Consumption Expenditure of Medicines0.2608
Consumption Expenditure of Dressing0.2592
Average Life Expectancy: Female0.2588
Sukiya0.2585
Participants in Japanese tea ceremony (25 years of age or more)0.2574
Consumption Expenditure of Children's dresses0.2506
Kentucky Fried Chicken0.2451
Gross Production0.2449
Lotteria0.2447
Consumption Expenditure of Taros0.2427
Komeda Coffee0.2399
Consumption Expenditure of Spinach0.2362
Consumption Expenditure of Cucumbers0.2329
Dentists0.2321
Russian Residents in Japan0.2278
American Residents in Japan0.2268
Number of Baseball Players (25 years of age or more)0.2259
Consumption Expenditure of “Shimeji”, mushrooms0.2249
Consumption Expenditure of Octopus0.2246
Participants in Japanese flower arrangement (25 years of age or more)0.2238
Consumption Expenditure of Bananas0.2201
Consumption Expenditure of Cabbage0.2198
Consumption Expenditure of Oysters0.2195
Seven Eleven0.2123
Death due to Lung Cancer: Female0.2097
Women's Housekeeping Time0.2074
Vietnamese Residents in Japan0.2074
Ministop0.2052
Buddhists0.2046
Peruvian Residents in Japan0.2041
Engel's coefficient0.2007
Consumption Expenditure of Cakes0.2004
Consumption Amount of Umbrella0.1971
Consumption Expenditure of Eggplants0.1932
Christians0.1923
Number of Bowling Players (25 years of age or more)0.1874
Consumption Expenditure of Worcester Sauce0.1857
Mean Elevation0.1847
Consumption Expenditure of Green Tea0.1834
Riding Ground0.1784
Consumption Expenditure of Fried Bean Curd0.1755
Internet cafe0.172
Brazilian Residents in Japan0.1686
Consumption Expenditure of Mushrooms0.1627
Patient with Cavity0.1613
Consumption Expenditure of Tomato Ketchup0.1472
Consumption Expenditure of Margarine0.145
Working Hours0.1443
Number of Basketball Players (25 years of age or more)0.1436
Vacation Homes0.1415
Suicide Victims: Female0.1392
Consumption Expenditure of Onions0.1392
Consumption Expenditure of Fruits0.1361
Fish Catches0.1325
Consumption Expenditure of Candies0.1304
Consumption Expenditure of String beans0.1302
Job Offer Retractions0.1292
Motorcycles Registered0.1258
Shintoists0.1202
Online Game Penetration0.1175
Consumption of Pork0.1136
Employed Persons in Tertiary Industry0.099
Participants in Community Safety Activities (25 years of age or more)0.0884
Consumption Expenditure of Cutlets0.0859
Consumption Expenditure of Watermelons0.0846
Consumption Expenditure of Frozen Food0.0837
Participants in Gardening (25 years of age or more)0.083
Consumption Expenditure of Pickled Fish0.0821
Indonesian Residents in Japan0.0814
Death due to Bowel Cancer: Female0.0762
Consumption Expenditure of “Enokitake”, mushrooms0.074
Consumption Expenditure of Fresh Water Clams0.0665
Saveon0.0638
Firing Range0.0633
Death due to Stomach Cancer: Female0.0628
Clinic0.0601
Consumption Expenditure of Jelly0.0594
Mos Burger0.051
Traffic-Related Death Rate - Motorcyclist0.0439
Industrial Production0.0404
Patients with Cancer (aged 65 or above)0.0359
Rate of Artificial Forest Land0.0296
Poplar0.0198
Consumption Expenditure of Carrots0.017
Consumption Expenditure of Hamburg Steak0.0149
Husband and Wife0.0117
Consumption Expenditure of Bonito0.0109
Consumption Expenditure of Salmon0.01
Daily Yamazaki0.0056
Consumption of Beef0.0045
Consumption Expenditure of Packed Lunch0.0044
Obstetricians and Gynecologists0.0018
Curator0.0003
Rate of Obstetricians and Gynecologists-0.0068
Temples-0.007
Convenience Stores-0.0188
Dance Studio, Dance Hall-0.0191
Participants in Child-Rearing Assistance Activities (25 years of age or more)-0.0202
Consumption Expenditure of “Yakitori”,Grilled Chickens-0.0232
Book Stores-0.0232
Consumption Expenditure of Fried food-0.0244
Consumption Expenditure of Fermented Lactic Beverages-0.0262
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings-0.0277
Patients with Major depressive disorder (aged 65 or above)-0.0301
Consumption of Sake-0.0362
Rate of Smoking: Female-0.0368
Participants in Nature Conservation Activities (25 years of age or more)-0.037
Annual Rate of Unemployment-0.0371
Number of Physicians-0.0391
Practicing Physicians-0.0403
Employed Persons in Secondary Industry-0.0458
Consumption Expenditure of Shellfish-0.0491
Paved Rate-0.0493
Seicomart-0.0535
Consumption Expenditure of Crabs-0.0565
Consumption Expenditure of Bean curd-0.0649
Patient with Fracture-0.0654
Death due to Stomach Cancer: Male-0.0664
Expenditure of Pocket Money (Household Heads)-0.0673
Manufacturing Industries-0.0684
Consumption of Beer-0.0695
Ministry of Health, Labour and Welfare-0.0744
Patients with Dyslipidemia-0.0763
Patients with Major depressive disorder-0.0811
Number of Softball Players (25 years of age or more)-0.0827
National Achievement Test-0.0838
Patients with Diabetes (aged 65 or above)-0.0879
Rate of Empty Rental Houses-0.0893
Number of Children-0.0932
Patients with Cancer-0.0935
Patient with Fracture-0.0941
Video Arcades-0.0958
Households Living on Welfare-0.0969
Murder Victims-0.0969
Number of Gateball Players (25 years of age or more)-0.098
Amount of Greenhouse Gas Emission-0.0993
Consumption Expenditure of Children's Underwear-0.0997
Consumption Expenditure of ”Wakame”, seaweed-0.1003
Participants in Volunteer Work (25 years of age or more)-0.1019
Consumption Expenditure of Citrus Fruits-0.1021
Participants in DIY (25 years of age or more)-0.1057
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried-0.1067
Consumption Expenditure of 'Manju', Bean-jam Cakes-0.1095
Automobile Accidents-0.1099
Consumption of Chicken-0.1106
Consumption Expenditure of Saury-0.1111
Ski Resort-0.1136
Consumption Expenditure of Sweet Potatoes-0.1161
Rate of Forest Land-0.1167
Consumption Expenditure of Bean Sprouts-0.1223
Wheat Production-0.1238
Golf Course-0.1259
Consumption Expenditure of 'Kasutera', Sponge Cakes-0.1278
Consumption Expenditure of Apples-0.1331
Consumption Expenditure of Vinegar-0.1337
Elementary School Students-0.1344
Consumption Expenditure of Soy Sauce-0.1347
Consumption Expenditure of Burdocks-0.1355
Family Mart-0.1414
Death due to Old Age: Female-0.1415
Soybean Production-0.1419
Consumption Expenditure of Sardines-0.1421
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning-0.1456
Skating Rink-0.1461
Death due to Old Age: Male-0.1463
Consumption of Alcohol-0.1464
Drowning Death Rate (Bath)-0.1476
Churches-0.1478
Patients with Asthma-0.1547
Consumption Expenditure of Instant Curry Mix-0.1558
Pharmacies-0.1621
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.1628
Consumption Expenditure of Flounder-0.1658
Consumption Expenditure of Horse Mackerel-0.1668
Japanese Archery Range-0.1686
Death due to Liver Cancer: Female-0.1703
Shinto Shrines-0.1721
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings-0.1731
Consumption Expenditure of Dried Tangle-0.1734
Tennis Court-0.1745
Death due to Lung Cancer: Male-0.175
Consumption Expenditure of Yellowtail-0.1752
Consumption Expenditure of Sugar-0.1895
Camp Site-0.1912
Consumption Expenditure of Shrimps & Lobsters-0.1921
Death due to Bowel Cancer: Male-0.1975
Lowson-0.1982
Male Physicians-0.2016
Consumption Expenditure of Mackerel-0.2029
Homeownership-0.2063
Death due to Liver Cancer: Male-0.2069
Consumption Expenditure of School Uniforms-0.2111
Liquefied Petroleum Gas Consumption-0.2161
Consumption Expenditure of Cuttlefish-0.2183
Baseball ground-0.2229
Croquet and Gateball Field-0.2321
Consumption Expenditure of Mandarin Oranges-0.2334
Rice Production-0.2336
Consumption Expenditure of Fried & Salted Snack Crackers-0.2435
Participants in Community Development Activities (25 years of age or more)-0.2442
Consumption Expenditure of Seafood-0.2521
Game Parlors-0.2521
Consumption of Shochu-0.2525
Rate of Empty Houses-0.2565
Monthly Cost of Water-0.2574
BMI Male-0.2594
Consumption Expenditure of Carbonated Beverages-0.2626
Patients with Hypertension (aged 65 or above)-0.2733
Traffic-Related Death Rate - Bicyclist-0.2775
Number of Volleyball Players (25 years of age or more)-0.2799
Total Length of Rivers-0.2846
Area of Forest Land-0.2856
Consumption Expenditure of Scallops-0.2873
BMI Female-0.2991
Participants in Japanese Dance (25 years of age or more)-0.3048
Consumption Expenditure of Salt-0.3138
Theaters and Concert halls-0.3176
Number of Anglers (25 years of age or more)-0.3192
Total Floor Space of Residential Buildings of one's own-0.3283
Total Floor Space of Residential Buildings of one's own-0.3328
Consumption Expenditure of Soybean Paste-0.3376
Area-0.3404
Gym-0.3411
Kerosene Consumption-0.3527
Rate of Smoking: Male-0.3579
Total Road Length-0.3704
Pachinko Parlors-0.3705
Rate of Single-parent Households-0.3717
Patients with Diabetes-0.3723
Rate of Intraregional Railway Passenger Transport-0.3751
Mister Donut-0.3766
H1N1 Influenza-0.3775
Homeownership-0.3811
Senior Citizens-0.3859
Hospital-0.3959
Rest and Relaxation Ttime-0.3999
Patients with Cerebral Infarction (aged 65 or above)-0.401
Swimming Pool-0.4071
Death Due to Cancer : Female-0.4131
Athletic Field-0.4142
Beds for Long-Term Care-0.4196
Pachinko Players (25 years of age or more)-0.4206
Local Government Employees-0.4211
Death Due to Cancer : Male-0.4226
Rate of Double-Income Households-0.4251
Fire Death Rate-0.4362
Suicide Victims: Male-0.4381
Bowling Alley-0.4407
Passenger Cars Registered-0.4426
Kendo Hall-0.4446
Consumption Expenditure of Other Raw Meat-0.4497
Judo Hall-0.4619
Consumption Expenditure of Edible Oil-0.4631
Elementary Schools-0.4637
Length of Coastline-0.4715
Electric Energy Consumption-0.4751
Bus and Taxi Registered-0.4817
Automobiles Registered-0.4833
Employed Persons in Primary Industry-0.4873
General Beds-0.4908
Trucks Registered-0.5088
Sleeping Hours-0.5089
Mass Media Viewing TIme-0.5145
Sumo Ring-0.5221
Drowning Death Rate (Except for Bath)-0.5279
School Personnel-0.53
Traffic-Related Death Rate - Driver-0.5378
Traffic-Related Death Rate - Pedestrian-0.5543
Nurse-0.5717
Beds for Mental Patients-0.5861
Total Floor Space of Residential Buildings of rental housing-0.5868
Traffic-Related Death Rate - All-0.5883
Psychiatric Hospitals-0.5887
Rate of Shotgun Wedding-0.6146
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