Correlation with "Consumption Expenditure of Cheese"

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StatsCorrelation
Coefficient
OrderAsc Desc
Book Readers (25 years of age or more)0.7816
Amateur Photographers (25 years of age or more)0.7188
0.7178
Participants in Classical Music Concert (25 years of age or more)0.7148
Participants in Concert (25 years of age or more)0.7147
Number of Swimmers (25 years of age or more)0.7114
Consumption Expenditure of Broccoli0.7061
Mean Age at First Marriage (Male)0.7014
Theatergoers (25 years of age or more)0.6984
Mean Age of Father at 1st Child Birth0.693
Consumption Expenditure of Lettuce0.6916
English language learners (25 years of age or more)0.69
Consumption Expenditure of Black Tea0.6756
Mean Age of Mother at 1st Child Birth0.6679
Monthly Rent0.6672
Consumption Expenditure of Instant Dried Soup0.6641
Consumption Expenditure of Shao-mais0.6537
Minimum Wage0.6527
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)0.6509
Domestic Tourists (Overnight stay)(25 years of age or more)0.6493
Delivery Cost0.6487
Number of Ski & Snowboard Players (25 years of age or more)0.6469
Consumption Expenditure of Radishes0.6466
Internet Penetration0.6414
Number of Soccer Players (25 years of age or more)0.6402
Participants in Playing Instrumentst (25 years of age or more)0.6388
Number of Hikers (25 years of age or more)0.6369
Consumption Expenditure of Jam0.6233
Participants in Cooking and Sweets Cooking (25 years of age or more)0.6214
Number of Cyclists (25 years of age or more)0.6167
Consumption Expenditure of Cucumbers0.6117
Number of Badminton Players (25 years of age or more)0.6095
Video Game Players (25 years of age or more)0.6082
Participants in Drawing Pictures and Sculpturing (25 years of age or more)0.6074
Number of people who went back to their hometown (25 years of age or more)0.605
Working Hours0.605
Outbound Tourists (25 years of age or more)0.6018
Number of Basketball Players (25 years of age or more)0.6017
Moviegoers (25 years of age or more)0.599
Number of Baseball Players (25 years of age or more)0.5978
Concentration of Population0.5963
Participants in Karaoke (25 years of age or more)0.595
Consumption Expenditure of Leafy Vegetables0.5928
Mean Age at First Marriage (Female)0.5915
German Residents in Japan0.5905
Participants in Dressmaking (25 years of age or more)0.5884
Consumption Expenditure of Pickled Vegetables0.5851
Participants in Playing Japanese music (25 years of age or more)0.5841
Consumption Expenditure of Oranges0.5835
Population0.583
Population Ratio0.5829
Number of Sports Players (25 years of age or more)0.5815
Consumption Expenditure of Butter0.5812
Real Estate Notary0.5783
English Residents in Japan0.5765
Number of campers (25 years of age or more)0.5764
Natural Gas Consumption0.5761
Participants in Knitting and Handicraft (25 years of age or more)0.576
Online Shopping Penetration0.5704
Average time spent on Volunteer and social activities0.5698
Gyudon (Beef bowl) Stores0.5694
Participants in Arts and Culture Studies (25 years of age or more)0.5673
Smartphone Penetration0.5644
Matsuya0.5643
Consumption Expenditure of Root Vegetables0.5633
Taiwanese Residents in Japan0.5599
Participants in Chorus and Vocal music (25 years of age or more)0.5599
Consumption Expenditure of Welsh Onions0.5598
Consumption of Pork0.5563
Chinese Residents in Japan0.5557
Starbucks0.5533
Participants in Crafts and Ceramics (25 years of age or more)0.5436
Number of Tennis Players (25 years of age or more)0.5411
Consumption Expenditure of Salad0.5361
Number of Joggers (25 years of age or more)0.5357
Indian Residents in Japan0.5334
Consumption of Whisky0.5314
Spectator Sport Watchers (25 years of age or more)0.5294
Consumption Expenditure of Medical Services0.5266
Railway Passenger Transport0.5247
Doutor Coffee0.5228
Number of Table Tennis Players (25 years of age or more)0.5228
Broadband Contracts0.5173
Valid Passports0.5172
Consumption Expenditure of Tomatoes0.5135
Average Residential Land Price0.5129
Attractiveness0.5026
Consumption Expenditure of Pickled Fish0.4919
Consumption Expenditure of Carrots0.4907
Consumption Expenditure of Cakes & Candies0.4899
Facebook User0.4895
Cellphone Penetration0.4886
AIDS Patients0.4863
Consumption Expenditure of Salmon0.4816
Consumption Expenditure of Milk0.4787
Nepali Residents in Japan0.4738
Foreign Residents in Japan0.4731
Consumption Expenditure of Medicines0.4717
Consumption Expenditure of Men's clothing0.4715
Participants in Homemaking Training (25 years of age or more)0.4685
Italian Residents in Japan0.4676
French Residents in Japan0.4666
Average Industrial Land Price0.4662
Participants in Dance (25 years of age or more)0.4654
Educational Expenses0.4617
SNS Penetration0.4595
Consumption Expenditure of Handbags0.4525
Mobile Phone Subscriptions0.4515
Japanese and Foreign HIV Carriers0.4499
Yoshinoya0.4461
Japanese HIV Carriers0.4406
Online Video Penetration0.4383
Number of Bowling Players (25 years of age or more)0.4378
American Residents in Japan0.4366
Consumption of Wine0.433
Population Density0.4325
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)0.4291
Consumption Expenditure of Onigiri0.425
Average Commercial Land Price0.4247
Domestic Tourists (Overnight stay)(25 years of age or more)0.4189
Consumption Expenditure of Spinach0.4188
Washing Charges0.408
Salary of Prefectural Governors0.4075
Prefectural Income0.4053
Spinach Production0.3993
Consumption Expenditure of 'Senbei', Japanese Crackers0.3983
Number of Golfers (25 years of age or more)0.3965
Consumption Expenditure of Ready-to-eat Food0.3917
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce0.3895
Average Life Expectancy: Male0.3868
Participants in Shogi (25 years of age or more)0.3857
Savings per Household0.3832
Russian Residents in Japan0.3799
Patent Attorneys0.3771
Rate of Obstetricians and Gynecologists0.3762
Certified Public Accountant0.3742
Kentucky Fried Chicken0.3703
Patent Registrations0.3614
Licensed Architect (1st grade)0.3597
Consumption Expenditure of Cucumbers0.3523
Private High School Fee for 1st Year0.3407
Fitness Clubs0.3395
Consumption Expenditure of Clothing & Footwear0.3394
Consumption Expenditure of 'Yokan', Sweet Bean Jelly0.338
Consumption Expenditure of Cutlets0.3372
Christians0.3346
Consumption Expenditure of Women's clothing0.3341
Consumption Expenditure of Cakes0.33
Participants in Go (25 years of age or more)0.3274
Seven Eleven0.3202
Consumption Expenditure of Onions0.3164
Consumption Expenditure of String beans0.3152
Sri Lankan Residents in Japan0.3139
Consumption Expenditure of “Yakitori”,Grilled Chickens0.3106
Nakau0.309
Sukiya0.3079
Job Offer Retractions0.3042
Meal TIme0.3026
Consumption Expenditure of Jelly0.3006
Patient with Cavity0.2996
Rate of Smoking: Female0.2994
Consumption Expenditure of Eggplants0.2986
Rate of Female Physicians0.2939
Trademark Registrations0.2915
Attorney0.2896
Thai Residents in Japan0.2856
Burmese Residents in Japan0.2832
Consumption Expenditure of Pumpkins0.2818
Consumption Expenditure of ”Kabayaki”,Broiled Eels0.2804
Consumption Expenditure of White Potatoes0.274
Consumption Expenditure of Strawberries0.2701
Annual Rate of Unemployment0.2687
Consumption Expenditure of Cabbage0.2624
Participants in Japanese calligraphy (25 years of age or more)0.2606
Consumption Expenditure of Saury0.258
South and North Korean Residents in Japan0.2572
Consumption Expenditure of Flavour Seasonings0.2542
Engel's coefficient0.2542
Labor and Social Security Attorney0.2534
Consumption Expenditure of Mineral Water0.2488
Peruvian Residents in Japan0.2466
Consumption Expenditure of Hamburg Steak0.2464
Consumption Expenditure of Coffee0.2389
Consumption Expenditure of Bean Sprouts0.2382
Consumption Expenditure of Chocolate0.2342
Dance Studio, Dance Hall0.2332
Design Registrations0.2301
Consumption Expenditure of Dressing0.229
Consumption Expenditure of Puddings0.2253
Death due to Bowel Cancer: Female0.2234
Consumption Expenditure of Men's Underwear0.2211
Ski Resort0.2194
Consumption Expenditure of Jiao-zi0.217
Internet cafe0.2168
Dental Clinics0.2166
Skating Rink0.215
Consumption Expenditure of ”Wakame”, seaweed0.2147
Consumption Expenditure of Apples0.2143
Philippine Residents in Japan0.2122
Gross Production0.2106
Consumption Expenditure of Women's Underwear0.2088
Rate of Pediatricians0.2036
Consumption Expenditure of Biscuits0.1927
Online Game Penetration0.1923
Utility Model Registrations0.1853
Seicomart0.1826
Motorcycles Registered0.1742
People Living Alone0.1713
Lotteria0.1708
Rate of Nuclear Families0.1697
Consumption Expenditure of Dried Tangle0.1663
Dentists0.1607
Shintoists0.1585
Ministop0.1512
Soybean Production0.1491
Video Arcades0.1491
Vacation Homes0.1479
Participants in Japanese tea ceremony (25 years of age or more)0.1479
Convenience Stores0.1477
Wheat Production0.1459
Consumption Expenditure of Fruits0.1443
Consumption Expenditure of Mushrooms0.1443
Participants in DIY (25 years of age or more)0.1431
Consumption Expenditure of Carbonated Beverages0.1395
Death due to Lung Cancer: Female0.1394
Vietnamese Residents in Japan0.1379
Death due to Bowel Cancer: Male0.1356
Participants in Child-Rearing Assistance Activities (25 years of age or more)0.1331
Average Life Expectancy: Female0.1282
Consumption Expenditure of Fried food0.1228
Consumption Expenditure of Flower0.1079
Suicide Victims: Female0.1066
Consumption Expenditure of Fried Bean Curd0.1066
Consumption Expenditure of Green Tea0.1062
Brazilian Residents in Japan0.1049
Consumption Expenditure of Dried Laver0.1048
Consumption Expenditure of Children's dresses0.1025
Consumption Expenditure of Octopus0.1014
Riding Ground0.0998
Consumption of Beer0.0963
Participants in Japanese flower arrangement (25 years of age or more)0.0901
Consumption Expenditure of Croquettes0.0894
Consumption Expenditure of Short-Necked Clams0.0871
Consumption Amount of Umbrella0.0863
Consumption Expenditure of Watermelons0.0825
Rice Production0.0815
Consumption of Sake0.0792
Fish Catches0.0786
Saveon0.0747
Consumption Expenditure of Scallops0.0741
Kerosene Consumption0.0729
Consumption Expenditure of Margarine0.0636
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried0.0606
Rate of Smoking: Male0.0559
Patients with Major depressive disorder (aged 65 or above)0.0507
Employed Persons in Tertiary Industry0.0504
Consumption Expenditure of Shellfish0.0489
Consumption Expenditure of Accessories0.0489
National Achievement Test0.0418
Mean Elevation0.0417
Consumption Expenditure of Bean curd0.0405
Consumption Expenditure of Oysters0.0396
Patients with Major depressive disorder0.0386
Monthly Cost of Water0.0383
Game Parlors0.0357
Mos Burger0.0318
Number of Children0.0313
Buddhists0.0296
Women's Housekeeping Time0.0294
Consumption Expenditure of Frozen Food0.0279
Highest temperature0.0272
Participants in Community Safety Activities (25 years of age or more)0.0271
Participants in Gardening (25 years of age or more)0.0253
Consumption Expenditure of Bananas0.0237
Consumption Expenditure of “Shimeji”, mushrooms0.023
Daily Yamazaki0.0222
Indonesian Residents in Japan0.0188
Golf Course0.0097
Consumption Expenditure of Packed Lunch0.0075
Consumption Expenditure of Taros0.0071
Employed Persons in Secondary Industry0.0011
Consumption Expenditure of 'Kasutera', Sponge Cakes-0.0018
Consumption Expenditure of Soybean Paste-0.0022
Consumption Expenditure of Fresh Water Clams-0.0055
Consumption Expenditure of Cuttlefish-0.0057
Curator-0.0129
Komeda Coffee-0.0185
Patients with Cancer (aged 65 or above)-0.0187
Consumption Expenditure of Flounder-0.0188
Consumption Expenditure of Tomato Ketchup-0.0226
Industrial Production-0.0242
Consumption Expenditure of Instant Curry Mix-0.0276
Consumption Expenditure of Children's Underwear-0.0281
Consumption Expenditure of Candies-0.0355
Firing Range-0.0362
H1N1 Influenza-0.0394
Drowning Death Rate (Bath)-0.04
Female Physicians-0.0445
Husband and Wife-0.0452
Consumption of Alcohol-0.0467
Obstetricians and Gynecologists-0.051
Consumption Expenditure of Seafood-0.0514
Consumption Expenditure of Salt-0.0578
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings-0.0591
Consumption Expenditure of Burdocks-0.067
Poplar-0.0688
Consumption Expenditure of School Uniforms-0.0691
Family Mart-0.0695
Consumption Expenditure of Fermented Lactic Beverages-0.0715
Mister Donut-0.0735
BMI Male-0.0844
Participants in Nature Conservation Activities (25 years of age or more)-0.086
Households Living on Welfare-0.0871
Patients with Asthma-0.0883
Patients with Diabetes (aged 65 or above)-0.0913
Elementary School Students-0.0971
Churches-0.1029
Patients with Cancer-0.1042
Death due to Stomach Cancer: Male-0.1044
Croquet and Gateball Field-0.1051
Consumption Expenditure of Chinese cabbage-0.1063
Baseball ground-0.1074
Consumption Expenditure of Crabs-0.1123
Consumption Expenditure of “Enokitake”, mushrooms-0.1149
Expenditure of Pocket Money (Household Heads)-0.1156
Participants in Japanese Dance (25 years of age or more)-0.1202
Number of Gateball Players (25 years of age or more)-0.1313
Bowling Alley-0.1334
Participants in Volunteer Work (25 years of age or more)-0.1411
BMI Female-0.1472
Consumption Expenditure of Worcester Sauce-0.1571
Death due to Stomach Cancer: Female-0.1616
Manufacturing Industries-0.1633
Consumption Expenditure of Fried & Salted Snack Crackers-0.165
Pediatricians-0.1651
Number of Softball Players (25 years of age or more)-0.1666
Murder Victims-0.1695
Death due to Lung Cancer: Male-0.1732
Japanese Archery Range-0.1957
Total Floor Space of Residential Buildings of one's own-0.1982
Bus and Taxi Registered-0.1998
Automobile Accidents-0.2037
Patients with Cerebral Infarction (aged 65 or above)-0.209
Rate of Intraregional Railway Passenger Transport-0.2123
Rate of Empty Rental Houses-0.2161
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.2192
Consumption Expenditure of Other Raw Meat-0.2212
Traffic-Related Death Rate - Motorcyclist-0.2248
Consumption Expenditure of Bonito-0.2288
Consumption Expenditure of Sweet Potatoes-0.2293
Athletic Field-0.2324
Temples-0.2331
Tennis Court-0.2332
Consumption Expenditure of Vinegar-0.2337
Camp Site-0.2384
Total Floor Space of Residential Buildings of one's own-0.2402
Patient with Fracture-0.2464
Patients with Dyslipidemia-0.2472
Book Stores-0.261
Consumption Expenditure of Soy Sauce-0.2661
Ministry of Health, Labour and Welfare-0.2758
Consumption of Shochu-0.2765
Area-0.2886
Homeownership-0.2983
Consumption Expenditure of Citrus Fruits-0.301
Consumption Expenditure of Mandarin Oranges-0.3014
Amount of Greenhouse Gas Emission-0.3032
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings-0.3035
Area of Forest Land-0.3063
Paved Rate-0.3069
Consumption Expenditure of Shrimps & Lobsters-0.3268
Pharmacies-0.3278
Consumption Expenditure of Sardines-0.3284
Consumption of Beef-0.3288
Participants in Community Development Activities (25 years of age or more)-0.3301
Death due to Old Age: Male-0.3358
Consumption Expenditure of Yellowtail-0.3384
Sumo Ring-0.3415
Consumption Expenditure of Edible Oil-0.3644
Suicide Victims: Male-0.3667
Patient with Fracture-0.3744
Death due to Old Age: Female-0.3772
Lowson-0.379
Patients with Hypertension (aged 65 or above)-0.3791
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning-0.3792
Patients with Diabetes-0.3804
Liquefied Petroleum Gas Consumption-0.3858
Swimming Pool-0.3918
Consumption Expenditure of Horse Mackerel-0.3988
Length of Coastline-0.4054
Rate of Forest Land-0.4148
Passenger Cars Registered-0.4203
Rate of Artificial Forest Land-0.4211
Consumption of Chicken-0.4255
Shinto Shrines-0.4279
Judo Hall-0.4285
Rest and Relaxation Ttime-0.4311
Consumption Expenditure of Sugar-0.4333
Theaters and Concert halls-0.434
Number of Physicians-0.4372
Gym-0.4402
Electric Energy Consumption-0.4429
Rate of Double-Income Households-0.4489
Rate of Shotgun Wedding-0.4492
Practicing Physicians-0.4504
Kendo Hall-0.4521
Traffic-Related Death Rate - Bicyclist-0.4526
Sleeping Hours-0.4573
Clinic-0.4588
Total Road Length-0.4615
Employed Persons in Primary Industry-0.4699
Fire Death Rate-0.4739
Homeownership-0.4803
Automobiles Registered-0.4925
Number of Volleyball Players (25 years of age or more)-0.4965
Consumption Expenditure of 'Manju', Bean-jam Cakes-0.507
Total Length of Rivers-0.5238
Rate of Single-parent Households-0.527
Number of Anglers (25 years of age or more)-0.5307
Total Floor Space of Residential Buildings of rental housing-0.5328
Death due to Liver Cancer: Female-0.5406
Male Physicians-0.5413
Death due to Liver Cancer: Male-0.542
Traffic-Related Death Rate - Pedestrian-0.5507
Consumption Expenditure of Mackerel-0.5518
Mass Media Viewing TIme-0.5552
Pachinko Players (25 years of age or more)-0.5604
Traffic-Related Death Rate - Driver-0.5634
Drowning Death Rate (Except for Bath)-0.5648
Psychiatric Hospitals-0.5721
Local Government Employees-0.5731
Beds for Long-Term Care-0.5737
Death Due to Cancer : Female-0.5798
Pachinko Parlors-0.5858
School Personnel-0.6037
Rate of Empty Houses-0.6118
Beds for Mental Patients-0.6238
Senior Citizens-0.6301
Trucks Registered-0.6322
Death Due to Cancer : Male-0.6567
Traffic-Related Death Rate - All-0.6892
Hospital-0.6895
General Beds-0.7335
Elementary Schools-0.7406
Nurse-0.7469
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