Correlation with "Rate of Shotgun Wedding"

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StatsCorrelation
Coefficient
OrderAsc Desc
Beds for Mental Patients0.6778
Bus and Taxi Registered0.6756
School Personnel0.649
Athletic Field0.6402
Trucks Registered0.6231
Sleeping Hours0.6061
Elementary Schools0.5675
Nurse0.5611
Patients with Cerebral Infarction (aged 65 or above)0.5587
Sumo Ring0.5584
BMI Female0.5537
Suicide Victims: Male0.5516
Psychiatric Hospitals0.5486
Total Floor Space of Residential Buildings of rental housing0.5465
Consumption Expenditure of Edible Oil0.5357
Automobiles Registered0.5262
Employed Persons in Primary Industry0.5116
Consumption Expenditure of Other Raw Meat0.5098
Consumption of Shochu0.5053
Rate of Single-parent Households0.5035
Local Government Employees0.4925
General Beds0.4899
Total Road Length0.4775
Length of Coastline0.4756
Number of Volleyball Players (25 years of age or more)0.471
Game Parlors0.4697
Monthly Cost of Water0.4667
Mass Media Viewing TIme0.4608
Passenger Cars Registered0.4588
Bowling Alley0.4494
Death due to Bowel Cancer: Male0.4442
Judo Hall0.4383
Churches0.435
Pachinko Parlors0.4341
Consumption of Alcohol0.4299
BMI Male0.4295
Gym0.4251
Kendo Hall0.4212
Swimming Pool0.4205
Rate of Double-Income Households0.4174
Fire Death Rate0.408
Area0.4037
Liquefied Petroleum Gas Consumption0.4012
Traffic-Related Death Rate - Pedestrian0.3996
Consumption Expenditure of Hamburg Steak0.3926
Traffic-Related Death Rate - Driver0.3916
Death Due to Cancer : Female0.3909
Hospital0.3717
Drowning Death Rate (Except for Bath)0.3681
Number of Anglers (25 years of age or more)0.367
Total Length of Rivers0.3663
Consumption Expenditure of Soybean Paste0.3628
Participants in Japanese Dance (25 years of age or more)0.3596
Area of Forest Land0.3586
H1N1 Influenza0.3586
Patients with Diabetes0.3559
Death Due to Cancer : Male0.3544
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried0.351
Traffic-Related Death Rate - All0.3454
Consumption Expenditure of Burdocks0.3446
Patients with Hypertension (aged 65 or above)0.3433
Rest and Relaxation Ttime0.3416
Consumption Expenditure of Packed Lunch0.3155
Kerosene Consumption0.3139
Video Arcades0.3101
Consumption Expenditure of Carbonated Beverages0.3057
Rate of Intraregional Railway Passenger Transport0.305
Number of Gateball Players (25 years of age or more)0.3025
Consumption Expenditure of Sugar0.3013
Consumption Expenditure of Salt0.296
Japanese Archery Range0.288
Beds for Long-Term Care0.2848
Homeownership0.2806
Pharmacies0.279
Camp Site0.2679
Elementary School Students0.2629
Pachinko Players (25 years of age or more)0.2608
Death due to Liver Cancer: Male0.2606
Number of Children0.2581
Consumption Expenditure of Dried Tangle0.2561
Rate of Smoking: Male0.254
Theaters and Concert halls0.2523
Senior Citizens0.2454
Consumption Expenditure of Soy Sauce0.2438
Consumption Expenditure of School Uniforms0.2403
Mos Burger0.2397
Croquet and Gateball Field0.2392
Baseball ground0.2371
Consumption Expenditure of Scallops0.2365
Death due to Liver Cancer: Female0.2211
Consumption Expenditure of Bean Sprouts0.2183
Lowson0.2169
Number of Softball Players (25 years of age or more)0.2076
Male Physicians0.1994
Total Floor Space of Residential Buildings of one's own0.1915
Households Living on Welfare0.1913
Mister Donut0.1876
Patients with Asthma0.1842
Consumption Expenditure of Instant Curry Mix0.1832
Participants in Community Development Activities (25 years of age or more)0.1794
Tennis Court0.1787
Rate of Forest Land0.1756
Consumption of Beer0.1747
Consumption Expenditure of Apples0.1735
Consumption Expenditure of Carrots0.1728
Consumption Expenditure of Fried & Salted Snack Crackers0.1596
Death due to Old Age: Female0.1563
Fish Catches0.1551
Total Floor Space of Residential Buildings of one's own0.1517
Consumption Expenditure of Bonito0.1514
Convenience Stores0.1486
Rate of Smoking: Female0.1411
Consumption Expenditure of Mandarin Oranges0.1354
Consumption Expenditure of Saury0.1315
Consumption Expenditure of Flounder0.1303
Consumption Expenditure of Fermented Lactic Beverages0.1287
Consumption Expenditure of Fresh Water Clams0.1286
Death due to Old Age: Male0.1282
Consumption Expenditure of Vinegar0.1262
Consumption Expenditure of Cuttlefish0.1259
Employed Persons in Tertiary Industry0.125
Kentucky Fried Chicken0.1247
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning0.1188
Murder Victims0.1174
Shinto Shrines0.1154
Electric Energy Consumption0.1143
Annual Rate of Unemployment0.1128
Participants in Volunteer Work (25 years of age or more)0.1127
Consumption Expenditure of ”Wakame”, seaweed0.1119
Consumption Expenditure of Seafood0.1107
Consumption Expenditure of Horse Mackerel0.1106
Consumption Expenditure of Mackerel0.1027
Participants in DIY (25 years of age or more)0.1019
Automobile Accidents0.0981
Consumption Expenditure of 'Manju', Bean-jam Cakes0.0962
Skating Rink0.0959
Consumption Expenditure of Sardines0.093
Rate of Empty Houses0.0916
Patient with Fracture0.0898
Firing Range0.0888
Consumption Expenditure of Mineral Water0.0878
Soybean Production0.0848
Motorcycles Registered0.0836
Participants in Nature Conservation Activities (25 years of age or more)0.0806
Golf Course0.0795
Patients with Diabetes (aged 65 or above)0.0789
Ski Resort0.0763
Consumption Expenditure of Shellfish0.07
Dance Studio, Dance Hall0.0691
Consumption Expenditure of Salmon0.0682
Patients with Dyslipidemia0.0642
Consumption Expenditure of 'Kasutera', Sponge Cakes0.0624
Patients with Cancer (aged 65 or above)0.0602
Family Mart0.0601
Patient with Fracture0.0582
Participants in Child-Rearing Assistance Activities (25 years of age or more)0.0566
Rice Production0.0424
Patients with Cancer0.04
Consumption Expenditure of Children's Underwear0.0358
Practicing Physicians0.0354
Consumption Expenditure of Citrus Fruits0.033
Wheat Production0.0306
Number of Physicians0.0292
Rate of Artificial Forest Land0.027
Consumption of Pork0.0251
Consumption of Chicken0.0242
Consumption Expenditure of Bean curd0.0194
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings0.0182
Number of Basketball Players (25 years of age or more)0.0167
Rate of Obstetricians and Gynecologists0.0105
Death due to Lung Cancer: Male0.0092
Obstetricians and Gynecologists0.0089
Patients with Major depressive disorder (aged 65 or above)0.0056
Death due to Bowel Cancer: Female0.0056
Daily Yamazaki0.0037
Consumption Expenditure of Sweet Potatoes0.0025
American Residents in Japan-0.0005
Seicomart-0.0012
Consumption Expenditure of Cucumbers-0.0124
Poplar-0.0142
Consumption Expenditure of Fried food-0.0165
Saveon-0.0188
Homeownership-0.0229
Patients with Major depressive disorder-0.0271
Amount of Greenhouse Gas Emission-0.0285
Death due to Stomach Cancer: Male-0.0319
Consumption Expenditure of Dressing-0.0348
Traffic-Related Death Rate - Motorcyclist-0.0419
Participants in Gardening (25 years of age or more)-0.0456
Consumption of Sake-0.0504
Participants in Playing Japanese music (25 years of age or more)-0.0521
Ministry of Health, Labour and Welfare-0.0549
Seven Eleven-0.057
Consumption Expenditure of Medicines-0.057
Clinic-0.0746
Drowning Death Rate (Bath)-0.0786
Job Offer Retractions-0.0788
Consumption Expenditure of Flower-0.0795
Consumption Expenditure of Crabs-0.0855
Shintoists-0.092
Suicide Victims: Female-0.0983
Consumption Expenditure of Jelly-0.1015
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings-0.1108
Consumption Expenditure of Dried Laver-0.1117
Consumption Expenditure of Watermelons-0.1157
Christians-0.118
Consumption Expenditure of Spinach-0.1195
Riding Ground-0.1232
Consumption Expenditure of “Yakitori”,Grilled Chickens-0.1232
Ministop-0.1236
Engel's coefficient-0.1365
Number of Bowling Players (25 years of age or more)-0.1394
Consumption Expenditure of Shrimps & Lobsters-0.1397
Consumption of Beef-0.1403
Consumption Expenditure of Taros-0.1432
Curator-0.1432
Consumption Expenditure of Pickled Fish-0.1442
Vacation Homes-0.1449
Temples-0.1475
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.1487
Participants in Community Safety Activities (25 years of age or more)-0.1522
Mean Elevation-0.1551
Consumption of Whisky-0.1556
Consumption Expenditure of Cutlets-0.1573
Nepali Residents in Japan-0.1583
Paved Rate-0.1598
Consumption Expenditure of Onions-0.1621
Patient with Cavity-0.1636
Indonesian Residents in Japan-0.1645
Consumption Expenditure of Fruits-0.1659
Consumption Expenditure of 'Yokan', Sweet Bean Jelly-0.1737
Consumption Expenditure of Yellowtail-0.176
Lotteria-0.1785
Rate of Empty Rental Houses-0.1801
Employed Persons in Secondary Industry-0.1819
Death due to Lung Cancer: Female-0.1845
Manufacturing Industries-0.1846
Consumption Expenditure of Frozen Food-0.1861
Attractiveness-0.1913
Consumption Expenditure of String beans-0.1937
Number of Baseball Players (25 years of age or more)-0.1939
Participants in Go (25 years of age or more)-0.1948
Traffic-Related Death Rate - Bicyclist-0.1971
Expenditure of Pocket Money (Household Heads)-0.2051
Consumption Expenditure of Radishes-0.2141
Sri Lankan Residents in Japan-0.2155
Working Hours-0.2186
Consumption Expenditure of Candies-0.2196
Consumption Expenditure of Flavour Seasonings-0.2217
Participants in Dance (25 years of age or more)-0.2259
Consumption Expenditure of “Enokitake”, mushrooms-0.2262
Rate of Pediatricians-0.2333
People Living Alone-0.2339
Average time spent on Volunteer and social activities-0.2365
Pediatricians-0.2393
Average Life Expectancy: Female-0.2407
Meal TIme-0.2427
Consumption Expenditure of Jiao-zi-0.2501
Dentists-0.2576
Consumption Expenditure of Green Tea-0.2591
Consumption Expenditure of Cakes-0.2599
Husband and Wife-0.2604
Consumption Expenditure of Biscuits-0.264
Female Physicians-0.2646
Consumption Expenditure of Root Vegetables-0.2692
Buddhists-0.2781
Participants in Karaoke (25 years of age or more)-0.2784
Consumption of Wine-0.2796
Death due to Stomach Cancer: Female-0.2838
Internet cafe-0.2871
Book Stores-0.2888
Burmese Residents in Japan-0.2907
Peruvian Residents in Japan-0.2935
Starbucks-0.2977
Thai Residents in Japan-0.2989
Consumption Expenditure of Men's Underwear-0.2997
Consumption Expenditure of Cucumbers-0.3001
Spectator Sport Watchers (25 years of age or more)-0.3062
Online Video Penetration-0.309
Brazilian Residents in Japan-0.3094
Industrial Production-0.3096
Sukiya-0.3115
Consumption Expenditure of Short-Necked Clams-0.3117
Consumption Expenditure of Tomato Ketchup-0.3154
Consumption Expenditure of Oysters-0.3319
Consumption Expenditure of Strawberries-0.3322
Yoshinoya-0.3341
Attorney-0.3359
Consumption Expenditure of Eggplants-0.3363
Consumption Expenditure of Cabbage-0.3385
Doutor Coffee-0.341
Number of Joggers (25 years of age or more)-0.3503
Consumption Amount of Umbrella-0.3514
Consumption Expenditure of Welsh Onions-0.353
Russian Residents in Japan-0.3655
Consumption Expenditure of Tomatoes-0.3673
AIDS Patients-0.3678
Philippine Residents in Japan-0.3685
Consumption Expenditure of Chocolate-0.3686
Dental Clinics-0.3689
Consumption Expenditure of Coffee-0.3707
Rate of Nuclear Families-0.3722
Consumption Expenditure of Onigiri-0.373
National Achievement Test-0.3742
Salary of Prefectural Governors-0.3778
Consumption Expenditure of Mushrooms-0.3779
Consumption Expenditure of Women's Underwear-0.3793
Spinach Production-0.3836
Consumption Expenditure of Fried Bean Curd-0.385
Italian Residents in Japan-0.3852
Japanese HIV Carriers-0.3864
Highest temperature-0.3889
Consumption Expenditure of Accessories-0.391
Consumption Expenditure of Leafy Vegetables-0.393
Consumption Expenditure of Instant Dried Soup-0.3935
Online Game Penetration-0.395
Japanese and Foreign HIV Carriers-0.3985
Consumption Expenditure of Ready-to-eat Food-0.3987
Trademark Registrations-0.412
French Residents in Japan-0.414
Indian Residents in Japan-0.415
Consumption Expenditure of Puddings-0.4174
Consumption Expenditure of Croquettes-0.4182
Participants in Japanese flower arrangement (25 years of age or more)-0.4186
Komeda Coffee-0.4208
Consumption Expenditure of Salad-0.4211
English Residents in Japan-0.4215
Taiwanese Residents in Japan-0.4235
Consumption Expenditure of Chinese cabbage-0.4273
Certified Public Accountant-0.4277
Gross Production-0.4297
Facebook User-0.4312
Consumption Expenditure of White Potatoes-0.4313
Consumption Expenditure of Pickled Vegetables-0.4412
Washing Charges-0.4422
Consumption Expenditure of Handbags-0.4435
Consumption Expenditure of Broccoli-0.4445
Consumption Expenditure of Worcester Sauce-0.4445
German Residents in Japan-0.4454
Average Industrial Land Price-0.4466
Consumption Expenditure of Cheese-0.4492
Number of campers (25 years of age or more)-0.4508
Population Density-0.4521
Average Commercial Land Price-0.4563
Consumption Expenditure of Cakes & Candies-0.4603
Consumption Expenditure of 'Senbei', Japanese Crackers-0.4605
Consumption Expenditure of Bananas-0.4647
Fitness Clubs-0.4664
-0.468
Vietnamese Residents in Japan-0.4708
Concentration of Population-0.4725
Consumption Expenditure of Pumpkins-0.473
Patent Attorneys-0.4776
Consumption Expenditure of “Shimeji”, mushrooms-0.4806
Number of Badminton Players (25 years of age or more)-0.4821
Rate of Female Physicians-0.4828
Consumption Expenditure of Children's dresses-0.4887
Women's Housekeeping Time-0.4904
SNS Penetration-0.4956
Consumption Expenditure of Lettuce-0.5012
Participants in Japanese calligraphy (25 years of age or more)-0.5058
Consumption Expenditure of Margarine-0.5061
Number of Soccer Players (25 years of age or more)-0.5084
Consumption Expenditure of Oranges-0.5086
Participants in Japanese tea ceremony (25 years of age or more)-0.5086
Patent Registrations-0.5117
Number of Ski & Snowboard Players (25 years of age or more)-0.516
Private High School Fee for 1st Year-0.5169
Consumption Expenditure of Shao-mais-0.5244
Population-0.5351
Population Ratio-0.5352
South and North Korean Residents in Japan-0.5417
Design Registrations-0.5451
Average Residential Land Price-0.5485
Participants in Shogi (25 years of age or more)-0.5544
Number of Golfers (25 years of age or more)-0.5576
Consumption Expenditure of Black Tea-0.5612
Participants in Dressmaking (25 years of age or more)-0.5618
Railway Passenger Transport-0.5723
Consumption Expenditure of Octopus-0.5725
Participants in Knitting and Handicraft (25 years of age or more)-0.5742
Average Life Expectancy: Male-0.5836
Number of Table Tennis Players (25 years of age or more)-0.5866
Nakau-0.5885
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)-0.5942
Participants in Cooking and Sweets Cooking (25 years of age or more)-0.5975
Mobile Phone Subscriptions-0.5996
Consumption Expenditure of Medical Services-0.6006
Real Estate Notary-0.613
Number of people who went back to their hometown (25 years of age or more)-0.6134
Participants in Crafts and Ceramics (25 years of age or more)-0.6146
Consumption Expenditure of ”Kabayaki”,Broiled Eels-0.6146
Consumption Expenditure of Women's clothing-0.6178
Participants in Chorus and Vocal music (25 years of age or more)-0.6213
Consumption Expenditure of Men's clothing-0.6229
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce-0.6232
Participants in Homemaking Training (25 years of age or more)-0.6234
Delivery Cost-0.6258
Utility Model Registrations-0.6294
Educational Expenses-0.6315
Participants in Playing Instrumentst (25 years of age or more)-0.6386
Labor and Social Security Attorney-0.6416
Matsuya-0.6418
Monthly Rent-0.6458
Mean Age at First Marriage (Female)-0.6476
Gyudon (Beef bowl) Stores-0.6477
Natural Gas Consumption-0.6479
Smartphone Penetration-0.6482
Consumption Expenditure of Jam-0.6505
Online Shopping Penetration-0.6515
Valid Passports-0.6518
Theatergoers (25 years of age or more)-0.6531
English language learners (25 years of age or more)-0.6586
Prefectural Income-0.6602
Foreign Residents in Japan-0.6657
Number of Cyclists (25 years of age or more)-0.667
Consumption Expenditure of Clothing & Footwear-0.669
Participants in Drawing Pictures and Sculpturing (25 years of age or more)-0.6706
Moviegoers (25 years of age or more)-0.6819
Mean Age at First Marriage (Male)-0.6851
Consumption Expenditure of Milk-0.6857
Broadband Contracts-0.6863
Chinese Residents in Japan-0.6867
Licensed Architect (1st grade)-0.6879
Domestic Tourists (Overnight stay)(25 years of age or more)-0.6951
Cellphone Penetration-0.7058
Outbound Tourists (25 years of age or more)-0.7102
Number of Swimmers (25 years of age or more)-0.7137
Number of Sports Players (25 years of age or more)-0.7145
Number of Tennis Players (25 years of age or more)-0.715
Internet Penetration-0.7234
Participants in Concert (25 years of age or more)-0.7263
Consumption Expenditure of Butter-0.7296
Participants in Classical Music Concert (25 years of age or more)-0.7306
Book Readers (25 years of age or more)-0.7313
Amateur Photographers (25 years of age or more)-0.7402
Number of Hikers (25 years of age or more)-0.7449
Participants in Arts and Culture Studies (25 years of age or more)-0.7547
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)-0.759
Mean Age of Father at 1st Child Birth-0.7607
Mean Age of Mother at 1st Child Birth-0.7677
Minimum Wage-0.7703
Domestic Tourists (Overnight stay)(25 years of age or more)-0.787
Video Game Players (25 years of age or more)-0.7979
Savings per Household-0.8561
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