Correlation with "Consumption Expenditure of Instant Dried Soup"

Sponsored Links
StatsCorrelation
Coefficient
OrderAsc Desc
Consumption Expenditure of Cheese0.6641
Consumption Expenditure of Cakes & Candies0.6532
Consumption Expenditure of Broccoli0.6105
Number of Soccer Players (25 years of age or more)0.6046
Consumption Expenditure of Salad0.5992
Book Readers (25 years of age or more)0.5919
Delivery Cost0.5914
Number of Hikers (25 years of age or more)0.5889
Mean Age at First Marriage (Male)0.573
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)0.5727
Consumption Expenditure of Pickled Vegetables0.5688
Consumption Expenditure of Onigiri0.5617
Domestic Tourists (Overnight stay)(25 years of age or more)0.5612
Consumption Expenditure of 'Senbei', Japanese Crackers0.5574
Consumption Expenditure of Oranges0.5565
Consumption Expenditure of Shao-mais0.5465
Theatergoers (25 years of age or more)0.5443
Participants in Concert (25 years of age or more)0.5404
Consumption Expenditure of Radishes0.5349
Number of Swimmers (25 years of age or more)0.5321
Amateur Photographers (25 years of age or more)0.5296
Monthly Rent0.5293
Foreign Residents in Japan0.5279
Consumption Expenditure of Welsh Onions0.5229
Number of Badminton Players (25 years of age or more)0.522
Participants in Classical Music Concert (25 years of age or more)0.521
Domestic Tourists (Overnight stay)(25 years of age or more)0.5092
Average time spent on Volunteer and social activities0.508
Consumption Expenditure of Jam0.5075
Sukiya0.4986
Number of Sports Players (25 years of age or more)0.4971
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce0.497
Consumption Expenditure of Lettuce0.4969
Consumption Expenditure of Jelly0.493
Participants in Crafts and Ceramics (25 years of age or more)0.4918
Minimum Wage0.4905
Savings per Household0.4904
English language learners (25 years of age or more)0.4893
Consumption Expenditure of Leafy Vegetables0.4867
Participants in Arts and Culture Studies (25 years of age or more)0.4851
Consumption Expenditure of Milk0.4843
Participants in Playing Instrumentst (25 years of age or more)0.482
Gyudon (Beef bowl) Stores0.4766
Number of Cyclists (25 years of age or more)0.4762
Chinese Residents in Japan0.4752
Participants in Playing Japanese music (25 years of age or more)0.4742
Number of Tennis Players (25 years of age or more)0.4741
Mean Age of Mother at 1st Child Birth0.4732
Number of Table Tennis Players (25 years of age or more)0.4705
Internet Penetration0.4691
Consumption Expenditure of Strawberries0.463
Mean Age of Father at 1st Child Birth0.4588
Consumption Expenditure of Ready-to-eat Food0.4539
Video Game Players (25 years of age or more)0.4538
Prefectural Income0.4502
Smartphone Penetration0.4487
0.4445
Outbound Tourists (25 years of age or more)0.444
Number of Ski & Snowboard Players (25 years of age or more)0.443
Consumption Expenditure of Puddings0.439
Sri Lankan Residents in Japan0.438
Consumption Expenditure of Black Tea0.4354
Number of Golfers (25 years of age or more)0.4335
Patient with Cavity0.4325
Indian Residents in Japan0.4323
Consumption Expenditure of Medical Services0.4319
Participants in Dressmaking (25 years of age or more)0.4291
Consumption Expenditure of Tomatoes0.4264
Moviegoers (25 years of age or more)0.4264
Consumption Expenditure of Carrots0.4248
Consumption Expenditure of Cucumbers0.4233
Participants in Knitting and Handicraft (25 years of age or more)0.42
Philippine Residents in Japan0.418
Consumption Expenditure of Root Vegetables0.4174
Working Hours0.4143
Natural Gas Consumption0.4127
Participants in Homemaking Training (25 years of age or more)0.4108
Average Life Expectancy: Male0.4101
Number of Basketball Players (25 years of age or more)0.4091
Cellphone Penetration0.4065
Participants in Chorus and Vocal music (25 years of age or more)0.4038
Number of Baseball Players (25 years of age or more)0.3967
Number of people who went back to their hometown (25 years of age or more)0.3964
Participants in Dance (25 years of age or more)0.3951
Consumption Expenditure of Cakes0.3928
Salary of Prefectural Governors0.3919
Consumption Expenditure of Biscuits0.3916
Consumption Expenditure of 'Yokan', Sweet Bean Jelly0.3881
Consumption Expenditure of Butter0.3879
Participants in Cooking and Sweets Cooking (25 years of age or more)0.3855
Consumption Expenditure of Dressing0.3818
Starbucks0.3791
Online Shopping Penetration0.377
Matsuya0.3753
Valid Passports0.3746
Consumption Expenditure of Women's Underwear0.3746
Mean Age at First Marriage (Female)0.3743
Thai Residents in Japan0.3696
Consumption Expenditure of Cucumbers0.3682
Consumption Expenditure of ”Kabayaki”,Broiled Eels0.3655
Real Estate Notary0.365
Consumption Expenditure of Medicines0.3646
Population0.3606
Population Ratio0.3606
AIDS Patients0.3604
Burmese Residents in Japan0.359
Seven Eleven0.3588
Participants in Drawing Pictures and Sculpturing (25 years of age or more)0.3582
Consumption Expenditure of Chocolate0.3541
Consumption Expenditure of Cutlets0.3518
Nepali Residents in Japan0.3502
Peruvian Residents in Japan0.35
Consumption Expenditure of Men's clothing0.3465
Broadband Contracts0.3454
Taiwanese Residents in Japan0.3446
Average Residential Land Price0.3429
Vietnamese Residents in Japan0.3418
German Residents in Japan0.3407
Consumption Expenditure of Spinach0.3392
Japanese and Foreign HIV Carriers0.3388
Doutor Coffee0.3367
Washing Charges0.3362
Ministop0.3338
Fitness Clubs0.3329
Highest temperature0.3326
Number of Joggers (25 years of age or more)0.3312
Spectator Sport Watchers (25 years of age or more)0.3307
Consumption of Whisky0.3291
Railway Passenger Transport0.329
Consumption Expenditure of ”Wakame”, seaweed0.3283
Mobile Phone Subscriptions0.3236
Consumption Expenditure of Handbags0.3229
Consumption Expenditure of Flavour Seasonings0.3208
Participants in Child-Rearing Assistance Activities (25 years of age or more)0.3201
Consumption Expenditure of Women's clothing0.3185
Consumption Expenditure of Pickled Fish0.3142
Consumption Expenditure of Clothing & Footwear0.3133
Yoshinoya0.3129
Indonesian Residents in Japan0.3109
Rate of Obstetricians and Gynecologists0.3086
Employed Persons in Secondary Industry0.3066
Educational Expenses0.3059
Consumption Expenditure of Jiao-zi0.305
Consumption Expenditure of Bean curd0.3015
Participants in Japanese calligraphy (25 years of age or more)0.2998
Rate of Pediatricians0.2986
Consumption Expenditure of Flower0.2981
Brazilian Residents in Japan0.2963
Spinach Production0.2959
Participants in Community Safety Activities (25 years of age or more)0.2945
Rate of Female Physicians0.2929
Consumption Expenditure of Cabbage0.2893
Number of Bowling Players (25 years of age or more)0.2883
Consumption Expenditure of Croquettes0.285
Facebook User0.2827
Consumption Expenditure of Pumpkins0.2803
Participants in Shogi (25 years of age or more)0.2792
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)0.2767
Italian Residents in Japan0.2744
Average Industrial Land Price0.273
Population Density0.273
Gross Production0.2723
Consumption Expenditure of Frozen Food0.2695
Japanese HIV Carriers0.268
Participants in Nature Conservation Activities (25 years of age or more)0.2678
Consumption Expenditure of Fried Bean Curd0.2648
Consumption Expenditure of Eggplants0.2648
Meal TIme0.2644
English Residents in Japan0.264
Licensed Architect (1st grade)0.2618
Average Commercial Land Price0.2566
Job Offer Retractions0.2563
Participants in Go (25 years of age or more)0.2561
French Residents in Japan0.2554
Private High School Fee for 1st Year0.2525
Consumption Expenditure of String beans0.2513
Participants in Japanese tea ceremony (25 years of age or more)0.2509
Consumption Expenditure of Dried Laver0.2497
Concentration of Population0.2489
Internet cafe0.2484
Consumption Expenditure of Short-Necked Clams0.2446
Consumption Amount of Umbrella0.2425
Consumption of Pork0.2425
Riding Ground0.2386
Consumption Expenditure of Mushrooms0.2383
Participants in Karaoke (25 years of age or more)0.2337
Fish Catches0.2325
SNS Penetration0.2314
Certified Public Accountant0.2251
South and North Korean Residents in Japan0.2211
Consumption of Wine0.2207
Nakau0.2174
Participants in Gardening (25 years of age or more)0.2093
Consumption Expenditure of Mineral Water0.2077
Consumption Expenditure of Apples0.2069
Industrial Production0.2019
Consumption Expenditure of Green Tea0.1992
Consumption Expenditure of Salmon0.199
Consumption Expenditure of Hamburg Steak0.1966
Consumption Expenditure of Taros0.1951
Consumption of Sake0.1947
Consumption Expenditure of Fruits0.1941
Consumption Expenditure of Bean Sprouts0.1938
Shintoists0.1821
Dance Studio, Dance Hall0.182
Consumption Expenditure of Coffee0.1809
Russian Residents in Japan0.1796
Komeda Coffee0.1729
Participants in Japanese flower arrangement (25 years of age or more)0.166
Consumption Expenditure of Men's Underwear0.1569
Vacation Homes0.1537
Number of campers (25 years of age or more)0.1525
Consumption Expenditure of Dried Tangle0.1524
Husband and Wife0.1515
Online Game Penetration0.1511
Consumption Expenditure of “Yakitori”,Grilled Chickens0.1502
Consumption Expenditure of Fresh Water Clams0.1499
Consumption Expenditure of Children's dresses0.147
Firing Range0.1457
Labor and Social Security Attorney0.1432
Consumption Expenditure of “Shimeji”, mushrooms0.142
Participants in Volunteer Work (25 years of age or more)0.1415
Consumption Expenditure of White Potatoes0.1412
American Residents in Japan0.1411
Average Life Expectancy: Female0.136
Patients with Major depressive disorder0.1344
Attorney0.1338
Poplar0.1215
Suicide Victims: Female0.1206
Consumption Expenditure of Fried food0.1192
Patients with Major depressive disorder (aged 65 or above)0.1172
Golf Course0.1171
Consumption Expenditure of Oysters0.1123
Manufacturing Industries0.1119
Christians0.1027
Consumption Expenditure of Accessories0.1018
Saveon0.0991
Rice Production0.0976
Daily Yamazaki0.0942
Consumption Expenditure of Margarine0.0907
Consumption Expenditure of Bananas0.0902
Consumption Expenditure of Saury0.0883
Online Video Penetration0.0867
Death due to Bowel Cancer: Female0.0847
Motorcycles Registered0.0829
Consumption Expenditure of Instant Curry Mix0.0771
Participants in DIY (25 years of age or more)0.0738
Lotteria0.067
Consumption Expenditure of Children's Underwear0.0655
Ministry of Health, Labour and Welfare0.0634
Dentists0.0626
Engel's coefficient0.0619
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings0.061
Consumption Expenditure of Packed Lunch0.0602
Consumption Expenditure of Shellfish0.0497
Number of Children0.0492
Consumption Expenditure of Fermented Lactic Beverages0.0482
Consumption Expenditure of Watermelons0.0482
Consumption Expenditure of Candies0.0415
Camp Site0.0408
Rate of Smoking: Male0.0381
Convenience Stores0.0279
People Living Alone0.0265
Mean Elevation0.0244
Dental Clinics0.0243
Elementary School Students0.0222
Number of Softball Players (25 years of age or more)0.0202
Kentucky Fried Chicken0.0155
National Achievement Test0.0155
Rate of Smoking: Female0.0152
Consumption Expenditure of School Uniforms0.0147
Consumption Expenditure of “Enokitake”, mushrooms0.0116
Consumption Expenditure of Onions0.0099
Attractiveness0.0087
Ski Resort0.0056
Consumption Expenditure of Bonito0.0055
Participants in Community Development Activities (25 years of age or more)0.0013
Patients with Diabetes (aged 65 or above)-0.003
Women's Housekeeping Time-0.0056
Consumption Expenditure of Crabs-0.0086
Consumption Expenditure of Burdocks-0.0092
Buddhists-0.0113
Consumption Expenditure of Soybean Paste-0.0114
Family Mart-0.0144
Total Floor Space of Residential Buildings of one's own-0.0177
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings-0.0198
Consumption Expenditure of Chinese cabbage-0.0248
Patients with Cancer-0.025
Consumption Expenditure of 'Kasutera', Sponge Cakes-0.0252
Number of Gateball Players (25 years of age or more)-0.0261
Consumption Expenditure of Fried & Salted Snack Crackers-0.0266
Automobile Accidents-0.0334
Consumption Expenditure of Octopus-0.0339
Female Physicians-0.0353
Death due to Old Age: Male-0.0365
Consumption Expenditure of Flounder-0.0381
Death due to Stomach Cancer: Female-0.0385
Baseball ground-0.0413
Drowning Death Rate (Bath)-0.0419
Patients with Asthma-0.0424
Mos Burger-0.0437
Death due to Bowel Cancer: Male-0.0461
Rate of Nuclear Families-0.0497
Japanese Archery Range-0.0502
Video Arcades-0.0529
Consumption Expenditure of 'Manju', Bean-jam Cakes-0.0607
Curator-0.0608
Death due to Stomach Cancer: Male-0.0625
Consumption Expenditure of Seafood-0.0637
Total Floor Space of Residential Buildings of one's own-0.0677
Patients with Cerebral Infarction (aged 65 or above)-0.0739
Consumption Expenditure of Carbonated Beverages-0.0781
Consumption Expenditure of Soy Sauce-0.0799
Participants in Japanese Dance (25 years of age or more)-0.0801
Rate of Empty Rental Houses-0.082
Consumption Expenditure of Cuttlefish-0.082
Patient with Fracture-0.0827
Patients with Dyslipidemia-0.0873
Book Stores-0.0894
Death due to Old Age: Female-0.0912
Shinto Shrines-0.0915
Expenditure of Pocket Money (Household Heads)-0.0963
Pediatricians-0.0968
Annual Rate of Unemployment-0.0979
Monthly Cost of Water-0.0994
Temples-0.0995
Consumption of Beer-0.0999
Obstetricians and Gynecologists-0.1001
Death due to Lung Cancer: Female-0.102
Homeownership-0.1059
Soybean Production-0.1068
Consumption Expenditure of Yellowtail-0.1125
Consumption Expenditure of Sardines-0.1154
Pharmacies-0.1158
Consumption Expenditure of Worcester Sauce-0.1178
Rate of Double-Income Households-0.1194
BMI Male-0.1215
H1N1 Influenza-0.1225
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried-0.1259
Consumption Expenditure of Sweet Potatoes-0.1302
Bus and Taxi Registered-0.1348
Consumption Expenditure of Horse Mackerel-0.1389
Paved Rate-0.1411
Tennis Court-0.1477
Passenger Cars Registered-0.1512
Consumption of Alcohol-0.1605
Consumption Expenditure of Scallops-0.1641
Game Parlors-0.1747
Croquet and Gateball Field-0.1802
Traffic-Related Death Rate - Pedestrian-0.1896
Skating Rink-0.1917
Traffic-Related Death Rate - Motorcyclist-0.1943
Consumption Expenditure of Tomato Ketchup-0.1985
Traffic-Related Death Rate - Bicyclist-0.2048
Patient with Fracture-0.2055
Athletic Field-0.2059
Sumo Ring-0.2076
Bowling Alley-0.2092
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.2123
Amount of Greenhouse Gas Emission-0.2184
Theaters and Concert halls-0.2194
Consumption Expenditure of Salt-0.2197
Wheat Production-0.2208
Seicomart-0.2237
Automobiles Registered-0.227
Patients with Cancer (aged 65 or above)-0.2281
Homeownership-0.2283
BMI Female-0.2334
Rate of Artificial Forest Land-0.2337
Patients with Diabetes-0.2353
Kerosene Consumption-0.2375
Total Road Length-0.2387
Gym-0.2463
Mister Donut-0.2542
Patients with Hypertension (aged 65 or above)-0.2544
Employed Persons in Tertiary Industry-0.2612
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning-0.2677
Liquefied Petroleum Gas Consumption-0.2812
Pachinko Players (25 years of age or more)-0.2836
Kendo Hall-0.2841
Traffic-Related Death Rate - Driver-0.2905
Consumption Expenditure of Citrus Fruits-0.2913
Consumption of Shochu-0.2931
Rate of Empty Houses-0.3059
Rate of Intraregional Railway Passenger Transport-0.3109
Pachinko Parlors-0.3205
Consumption Expenditure of Mackerel-0.3232
Judo Hall-0.3242
Fire Death Rate-0.3261
Suicide Victims: Male-0.3278
Area of Forest Land-0.3282
Consumption Expenditure of Mandarin Oranges-0.3328
Consumption Expenditure of Vinegar-0.3357
Traffic-Related Death Rate - All-0.3387
Death due to Lung Cancer: Male-0.3398
Consumption Expenditure of Edible Oil-0.3418
Churches-0.343
Swimming Pool-0.3457
Area-0.3457
Number of Volleyball Players (25 years of age or more)-0.3479
Clinic-0.3535
Rate of Forest Land-0.3572
Total Length of Rivers-0.3679
Rest and Relaxation Ttime-0.3684
Sleeping Hours-0.37
Murder Victims-0.3726
Consumption Expenditure of Sugar-0.3733
Trucks Registered-0.3816
Number of Physicians-0.3935
Rate of Shotgun Wedding-0.3935
Number of Anglers (25 years of age or more)-0.3937
Electric Energy Consumption-0.396
Employed Persons in Primary Industry-0.4005
Consumption of Beef-0.4005
Death Due to Cancer : Female-0.4009
Households Living on Welfare-0.4032
Practicing Physicians-0.4132
Lowson-0.4174
Length of Coastline-0.4214
Consumption of Chicken-0.4296
Local Government Employees-0.436
Beds for Long-Term Care-0.4445
Consumption Expenditure of Shrimps & Lobsters-0.4468
Senior Citizens-0.4483
Drowning Death Rate (Except for Bath)-0.4532
Death due to Liver Cancer: Male-0.4648
School Personnel-0.4666
Psychiatric Hospitals-0.4868
Death due to Liver Cancer: Female-0.4875
Elementary Schools-0.5061
Beds for Mental Patients-0.5182
Death Due to Cancer : Male-0.5218
Male Physicians-0.5221
Consumption Expenditure of Other Raw Meat-0.5266
Total Floor Space of Residential Buildings of rental housing-0.5293
Mass Media Viewing TIme-0.5842
Nurse-0.5964
Hospital-0.6038
Rate of Single-parent Households-0.6556
General Beds-0.6688
Sponsored Links

SPONSORED LINKS