Correlation with "Automobiles Registered"

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StatsCorrelation
Coefficient
OrderAsc Desc
Passenger Cars Registered0.9866
Trucks Registered0.9094
Homeownership0.8392
Rate of Double-Income Households0.8017
Traffic-Related Death Rate - Driver0.781
Total Road Length0.7622
Traffic-Related Death Rate - All0.7508
School Personnel0.7476
Kendo Hall0.7473
Judo Hall0.7107
Tennis Court0.7049
Traffic-Related Death Rate - Pedestrian0.7024
Liquefied Petroleum Gas Consumption0.7003
Total Floor Space of Residential Buildings of one's own0.6965
Total Floor Space of Residential Buildings of one's own0.6828
Participants in Community Development Activities (25 years of age or more)0.6794
Total Floor Space of Residential Buildings of rental housing0.6718
Theaters and Concert halls0.6382
Bus and Taxi Registered0.6283
Swimming Pool0.6232
Homeownership0.6188
Total Length of Rivers0.6186
Elementary Schools0.6169
Local Government Employees0.6096
Sleeping Hours0.6079
Employed Persons in Primary Industry0.6051
Death due to Old Age: Female0.6029
Gym0.6026
Athletic Field0.5843
Camp Site0.582
Death due to Old Age: Male0.5783
Participants in Gardening (25 years of age or more)0.5712
Baseball ground0.5629
Employed Persons in Secondary Industry0.5474
Participants in Nature Conservation Activities (25 years of age or more)0.5421
Participants in Volunteer Work (25 years of age or more)0.5413
Golf Course0.5327
Rate of Empty Houses0.5322
Rate of Shotgun Wedding0.5262
Rate of Forest Land0.5235
Manufacturing Industries0.5168
Croquet and Gateball Field0.5145
Senior Citizens0.5142
Shinto Shrines0.5133
Japanese Archery Range0.5075
Area0.4937
Husband and Wife0.4832
Pachinko Players (25 years of age or more)0.4805
Area of Forest Land0.4777
Pachinko Parlors0.4583
Nurse0.4574
Suicide Victims: Male0.4572
Rate of Empty Rental Houses0.4537
Consumption Expenditure of Soybean Paste0.4449
Electric Energy Consumption0.4421
Mean Elevation0.4419
Fire Death Rate0.4342
Psychiatric Hospitals0.4209
Number of Volleyball Players (25 years of age or more)0.4198
Death Due to Cancer : Female0.4183
Participants in Community Safety Activities (25 years of age or more)0.4146
Number of Softball Players (25 years of age or more)0.402
Beds for Mental Patients0.3845
Death Due to Cancer : Male0.3794
Drowning Death Rate (Except for Bath)0.376
Consumption Expenditure of Soy Sauce0.3734
Number of Gateball Players (25 years of age or more)0.3731
Rest and Relaxation Ttime0.3687
Consumption Expenditure of Instant Curry Mix0.3666
Participants in DIY (25 years of age or more)0.3659
Consumption Expenditure of Sugar0.3572
Consumption Expenditure of Fried & Salted Snack Crackers0.3535
Patients with Cerebral Infarction (aged 65 or above)0.3524
General Beds0.3524
Patients with Diabetes0.3501
Consumption Expenditure of 'Manju', Bean-jam Cakes0.3487
Sumo Ring0.3417
Rate of Smoking: Male0.3392
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings0.3378
Temples0.337
Patients with Hypertension (aged 65 or above)0.3364
Ski Resort0.3342
Vacation Homes0.3323
Consumption Expenditure of Edible Oil0.3315
Bowling Alley0.3248
Ministry of Health, Labour and Welfare0.324
Consumption Expenditure of School Uniforms0.3144
Consumption Expenditure of Salt0.312
Firing Range0.3099
Shintoists0.3047
Industrial Production0.3017
Mass Media Viewing TIme0.301
Rice Production0.299
Consumption Expenditure of “Enokitake”, mushrooms0.2961
Kerosene Consumption0.2844
Hospital0.2834
Curator0.2774
Participants in Japanese Dance (25 years of age or more)0.258
Patients with Cancer0.2562
Patients with Dyslipidemia0.2559
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning0.2484
Consumption Expenditure of Fermented Lactic Beverages0.2478
Consumption Expenditure of Cuttlefish0.2453
Consumption Expenditure of Children's Underwear0.2326
Consumption Expenditure of ”Wakame”, seaweed0.2304
Consumption Expenditure of Fried food0.2301
Riding Ground0.2292
BMI Female0.229
Consumption Expenditure of Apples0.2253
Traffic-Related Death Rate - Bicyclist0.2248
Brazilian Residents in Japan0.2212
Consumption of Sake0.215
Indonesian Residents in Japan0.2101
Drowning Death Rate (Bath)0.2068
Participants in Child-Rearing Assistance Activities (25 years of age or more)0.2044
Beds for Long-Term Care0.2039
Consumption Expenditure of Mushrooms0.2021
Consumption Expenditure of Bean Sprouts0.1984
Consumption Expenditure of Dried Tangle0.1819
Consumption Expenditure of Burdocks0.181
Saveon0.1807
Convenience Stores0.1778
Number of Anglers (25 years of age or more)0.1768
Consumption of Shochu0.1761
Rate of Pediatricians0.1754
Monthly Cost of Water0.1714
Consumption Expenditure of Fresh Water Clams0.1706
Automobile Accidents0.1649
Lowson0.1615
Book Stores0.1594
Mos Burger0.1572
Consumption Expenditure of Hamburg Steak0.1536
Consumption Expenditure of Bean curd0.1484
Patients with Cancer (aged 65 or above)0.1376
Consumption Expenditure of Saury0.1339
Consumption Expenditure of Vinegar0.133
Length of Coastline0.1275
Consumption Expenditure of Fruits0.1265
Peruvian Residents in Japan0.1236
Dance Studio, Dance Hall0.1225
Consumption Expenditure of Salmon0.1212
Consumption Expenditure of Seafood0.1189
Skating Rink0.1165
Consumption Expenditure of Mackerel0.1107
Consumption Expenditure of Bonito0.106
Rate of Single-parent Households0.1038
Game Parlors0.1006
Consumption Expenditure of Pickled Fish0.0993
H1N1 Influenza0.0977
Consumption Expenditure of Frozen Food0.0961
Soybean Production0.0958
Consumption Expenditure of Sweet Potatoes0.0947
Consumption Expenditure of Mandarin Oranges0.091
BMI Male0.0904
Consumption Expenditure of Crabs0.0904
Number of Children0.0883
Elementary School Students0.0879
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings0.0858
Consumption Expenditure of Flounder0.0855
Amount of Greenhouse Gas Emission0.0848
Consumption Expenditure of Cutlets0.0839
Consumption Expenditure of Flower0.0743
Consumption Expenditure of Yellowtail0.0669
Patients with Diabetes (aged 65 or above)0.0661
Sukiya0.0659
Philippine Residents in Japan0.0636
Rate of Intraregional Railway Passenger Transport0.0588
Thai Residents in Japan0.0588
Consumption Expenditure of Scallops0.0587
Suicide Victims: Female0.0511
Pharmacies0.0479
Seven Eleven0.0449
Consumption Expenditure of Other Raw Meat0.0399
Participants in Japanese flower arrangement (25 years of age or more)0.0396
Highest temperature0.0385
Consumption Expenditure of Citrus Fruits0.0384
Rate of Obstetricians and Gynecologists0.0346
Consumption Expenditure of Taros0.0308
Consumption Expenditure of 'Senbei', Japanese Crackers0.0286
Consumption Expenditure of Cucumbers0.0271
Wheat Production0.024
Death due to Stomach Cancer: Female0.0213
Consumption Expenditure of Puddings0.0191
Consumption Expenditure of Onigiri0.0186
Consumption Expenditure of Jelly0.0178
Consumption Expenditure of Chocolate0.0177
Consumption Expenditure of Shellfish0.0164
Daily Yamazaki0.0152
Family Mart0.0113
Patients with Asthma0.0068
Consumption Expenditure of Carbonated Beverages0.0039
Rate of Artificial Forest Land0.002
Death due to Liver Cancer: Male0.0016
Consumption Expenditure of Candies0.0013
Pediatricians0.0002
Patient with Fracture-0.0006
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.0017
Motorcycles Registered-0.0019
Komeda Coffee-0.0029
Death due to Stomach Cancer: Male-0.0097
Male Physicians-0.01
Consumption Expenditure of “Yakitori”,Grilled Chickens-0.0137
Consumption Expenditure of Horse Mackerel-0.0143
Video Arcades-0.0179
Consumption of Alcohol-0.0257
Consumption Expenditure of Sardines-0.026
Churches-0.0261
National Achievement Test-0.0269
Consumption Expenditure of Dressing-0.0271
Seicomart-0.0302
Consumption Expenditure of Packed Lunch-0.0321
Consumption Expenditure of Croquettes-0.0348
Ministop-0.0362
Death due to Liver Cancer: Female-0.0387
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried-0.0458
Consumption Expenditure of Children's dresses-0.0493
Traffic-Related Death Rate - Motorcyclist-0.0566
Fish Catches-0.0582
Mister Donut-0.0593
Consumption Expenditure of Biscuits-0.0615
Sri Lankan Residents in Japan-0.066
Murder Victims-0.0668
Consumption Expenditure of Men's Underwear-0.0681
Consumption Expenditure of Short-Necked Clams-0.0723
Number of Ski & Snowboard Players (25 years of age or more)-0.0806
Consumption Expenditure of Jiao-zi-0.0906
Average Life Expectancy: Female-0.0946
Consumption Expenditure of Carrots-0.0947
Consumption Expenditure of “Shimeji”, mushrooms-0.1017
Consumption Expenditure of Cabbage-0.104
Patient with Cavity-0.106
Vietnamese Residents in Japan-0.1083
Death due to Bowel Cancer: Male-0.1088
Participants in Japanese tea ceremony (25 years of age or more)-0.122
Consumption of Pork-0.1261
Poplar-0.1284
Domestic Tourists (Overnight stay)(25 years of age or more)-0.1287
Expenditure of Pocket Money (Household Heads)-0.1313
Consumption Expenditure of Cakes & Candies-0.1321
Practicing Physicians-0.1336
Consumption Expenditure of 'Yokan', Sweet Bean Jelly-0.1387
Number of Physicians-0.139
Patient with Fracture-0.1414
Consumption Expenditure of Green Tea-0.1507
Women's Housekeeping Time-0.1511
Consumption Expenditure of Fried Bean Curd-0.1529
Consumption Expenditure of 'Kasutera', Sponge Cakes-0.1589
Consumption Expenditure of Strawberries-0.1635
Number of Badminton Players (25 years of age or more)-0.1639
Patients with Major depressive disorder-0.1659
Consumption Expenditure of Shrimps & Lobsters-0.1665
Clinic-0.1667
Consumption Expenditure of Women's Underwear-0.1696
Patients with Major depressive disorder (aged 65 or above)-0.1729
Number of Baseball Players (25 years of age or more)-0.1743
Paved Rate-0.1777
Consumption Expenditure of Spinach-0.1808
Consumption Expenditure of Medicines-0.1813
Obstetricians and Gynecologists-0.1934
Consumption Expenditure of Ready-to-eat Food-0.1994
Consumption Expenditure of Bananas-0.2
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce-0.2028
Rate of Smoking: Female-0.2037
Consumption Expenditure of Cakes-0.2088
Consumption Expenditure of Oranges-0.2095
Number of Basketball Players (25 years of age or more)-0.2097
Consumption Expenditure of Dried Laver-0.2164
Number of Bowling Players (25 years of age or more)-0.2168
Consumption Expenditure of Salad-0.2186
Russian Residents in Japan-0.2237
Consumption Expenditure of Instant Dried Soup-0.227
Participants in Playing Japanese music (25 years of age or more)-0.2376
Consumption Expenditure of Worcester Sauce-0.2391
Meal TIme-0.2405
Consumption Expenditure of String beans-0.2427
Number of Golfers (25 years of age or more)-0.2433
Buddhists-0.2446
Consumption of Chicken-0.2452
Death due to Lung Cancer: Male-0.2463
Death due to Bowel Cancer: Female-0.2477
Fitness Clubs-0.2496
Consumption Expenditure of Radishes-0.2573
Internet cafe-0.2584
Average Life Expectancy: Male-0.2598
Gross Production-0.2619
Participants in Japanese calligraphy (25 years of age or more)-0.2717
Consumption Expenditure of Pickled Vegetables-0.2726
Online Game Penetration-0.2747
Burmese Residents in Japan-0.2791
Consumption Expenditure of Watermelons-0.2823
Consumption Expenditure of Coffee-0.2871
Consumption Expenditure of Oysters-0.2886
Consumption Expenditure of Tomato Ketchup-0.2916
Consumption of Whisky-0.2984
AIDS Patients-0.3011
Consumption Expenditure of Mineral Water-0.3027
Participants in Go (25 years of age or more)-0.306
Kentucky Fried Chicken-0.3092
Washing Charges-0.3151
Lotteria-0.3252
Consumption Expenditure of Milk-0.3295
Consumption of Beer-0.3302
Consumption of Beef-0.338
Job Offer Retractions-0.3451
Consumption Expenditure of Tomatoes-0.3484
Consumption Expenditure of Welsh Onions-0.35
Salary of Prefectural Governors-0.3681
Average time spent on Volunteer and social activities-0.3733
Nepali Residents in Japan-0.3771
Prefectural Income-0.3773
Consumption Expenditure of Margarine-0.3814
Consumption Expenditure of Pumpkins-0.3816
Consumption Expenditure of Leafy Vegetables-0.3838
Consumption Expenditure of Root Vegetables-0.3892
Consumption Amount of Umbrella-0.3944
Consumption Expenditure of Accessories-0.395
Consumption Expenditure of Clothing & Footwear-0.3976
Participants in Dance (25 years of age or more)-0.4008
Consumption Expenditure of Eggplants-0.4093
Consumption Expenditure of Flavour Seasonings-0.4097
Consumption Expenditure of Women's clothing-0.4113
Number of Table Tennis Players (25 years of age or more)-0.4256
Consumption of Wine-0.4267
Consumption Expenditure of ”Kabayaki”,Broiled Eels-0.4411
Foreign Residents in Japan-0.4464
Yoshinoya-0.4503
Consumption Expenditure of Octopus-0.453
Consumption Expenditure of Chinese cabbage-0.4531
Spinach Production-0.4567
Working Hours-0.4637
Starbucks-0.4642
Consumption Expenditure of Broccoli-0.4708
Consumption Expenditure of Lettuce-0.4762
Participants in Knitting and Handicraft (25 years of age or more)-0.477
Consumption Expenditure of Men's clothing-0.4798
Consumption Expenditure of Shao-mais-0.4798
Savings per Household-0.48
American Residents in Japan-0.4804
Consumption Expenditure of Medical Services-0.4821
Participants in Crafts and Ceramics (25 years of age or more)-0.4833
Annual Rate of Unemployment-0.4858
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)-0.4861
Female Physicians-0.4865
Utility Model Registrations-0.4903
Number of Hikers (25 years of age or more)-0.4912
Consumption Expenditure of Cheese-0.4925
Engel's coefficient-0.496
Dentists-0.4962
Delivery Cost-0.4971
Number of Soccer Players (25 years of age or more)-0.5046
Nakau-0.5087
Households Living on Welfare-0.5104
Japanese and Foreign HIV Carriers-0.5111
Private High School Fee for 1st Year-0.5133
Death due to Lung Cancer: Female-0.5149
Consumption Expenditure of Onions-0.5161
Participants in Shogi (25 years of age or more)-0.5167
Spectator Sport Watchers (25 years of age or more)-0.5171
Consumption Expenditure of White Potatoes-0.5203
Indian Residents in Japan-0.5209
Domestic Tourists (Overnight stay)(25 years of age or more)-0.5225
Participants in Homemaking Training (25 years of age or more)-0.5285
Number of campers (25 years of age or more)-0.5348
Number of Joggers (25 years of age or more)-0.5457
Participants in Cooking and Sweets Cooking (25 years of age or more)-0.555
Number of Sports Players (25 years of age or more)-0.5584
Participants in Karaoke (25 years of age or more)-0.5615
Participants in Dressmaking (25 years of age or more)-0.5667
Number of Cyclists (25 years of age or more)-0.5714
Consumption Expenditure of Jam-0.5748
Mean Age at First Marriage (Male)-0.5762
Consumption Expenditure of Handbags-0.5817
-0.5823
Gyudon (Beef bowl) Stores-0.5858
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)-0.587
Design Registrations-0.5946
Christians-0.5955
Attractiveness-0.6095
Employed Persons in Tertiary Industry-0.611
Trademark Registrations-0.6192
Educational Expenses-0.6236
Number of Tennis Players (25 years of age or more)-0.6269
Labor and Social Security Attorney-0.6302
Rate of Female Physicians-0.6325
Rate of Nuclear Families-0.6355
Patent Registrations-0.6392
Attorney-0.645
Moviegoers (25 years of age or more)-0.6451
Video Game Players (25 years of age or more)-0.6519
Taiwanese Residents in Japan-0.6542
People Living Alone-0.6581
Participants in Chorus and Vocal music (25 years of age or more)-0.6617
SNS Penetration-0.6641
Online Video Penetration-0.6647
Japanese HIV Carriers-0.6657
Dental Clinics-0.6662
Participants in Playing Instrumentst (25 years of age or more)-0.6733
Certified Public Accountant-0.6757
Doutor Coffee-0.6787
English Residents in Japan-0.6816
Participants in Classical Music Concert (25 years of age or more)-0.6841
Mean Age at First Marriage (Female)-0.6877
Chinese Residents in Japan-0.6898
Consumption Expenditure of Butter-0.6916
Participants in Arts and Culture Studies (25 years of age or more)-0.6919
Amateur Photographers (25 years of age or more)-0.6962
Consumption Expenditure of Black Tea-0.6973
Participants in Concert (25 years of age or more)-0.6977
Smartphone Penetration-0.6999
French Residents in Japan-0.7053
Valid Passports-0.706
Consumption Expenditure of Cucumbers-0.7069
Mean Age of Mother at 1st Child Birth-0.7097
Patent Attorneys-0.7124
Italian Residents in Japan-0.7126
Mean Age of Father at 1st Child Birth-0.7146
Online Shopping Penetration-0.7164
Participants in Drawing Pictures and Sculpturing (25 years of age or more)-0.7173
Internet Penetration-0.722
South and North Korean Residents in Japan-0.7224
Number of Swimmers (25 years of age or more)-0.7235
Matsuya-0.7292
Mobile Phone Subscriptions-0.7325
Facebook User-0.7334
Outbound Tourists (25 years of age or more)-0.7471
Licensed Architect (1st grade)-0.7485
Cellphone Penetration-0.7503
German Residents in Japan-0.7554
Theatergoers (25 years of age or more)-0.7642
Book Readers (25 years of age or more)-0.781
Minimum Wage-0.7858
Broadband Contracts-0.792
Average Commercial Land Price-0.796
Average Industrial Land Price-0.8039
English language learners (25 years of age or more)-0.8053
Population Density-0.8097
Population-0.8283
Population Ratio-0.8284
Number of people who went back to their hometown (25 years of age or more)-0.8344
Natural Gas Consumption-0.846
Average Residential Land Price-0.8491
Monthly Rent-0.8649
Railway Passenger Transport-0.872
Real Estate Notary-0.8899
Concentration of Population-0.9071
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