Correlation with "Consumption Expenditure of Lettuce"

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StatsCorrelation
Coefficient
OrderAsc Desc
Consumption Expenditure of Shao-mais0.7665
Mean Age of Father at 1st Child Birth0.7612
Mean Age at First Marriage (Male)0.76
Minimum Wage0.7133
Mean Age at First Marriage (Female)0.7128
Mean Age of Mother at 1st Child Birth0.709
Amateur Photographers (25 years of age or more)0.6991
Indian Residents in Japan0.6964
English language learners (25 years of age or more)0.6938
Consumption Expenditure of Cheese0.6916
AIDS Patients0.6885
Monthly Rent0.6863
Number of Hikers (25 years of age or more)0.6854
Book Readers (25 years of age or more)0.6849
Taiwanese Residents in Japan0.6786
Consumption Expenditure of Tomatoes0.678
Number of Tennis Players (25 years of age or more)0.6631
Consumption Expenditure of Black Tea0.6599
Outbound Tourists (25 years of age or more)0.6518
Delivery Cost0.6515
Chinese Residents in Japan0.6443
Number of Sports Players (25 years of age or more)0.6421
Smartphone Penetration0.6386
Internet Penetration0.637
Number of Swimmers (25 years of age or more)0.6356
Matsuya0.63
Consumption Expenditure of Broccoli0.6289
Participants in Classical Music Concert (25 years of age or more)0.6264
Spinach Production0.6263
Number of Soccer Players (25 years of age or more)0.6261
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)0.6206
Population0.6205
Population Ratio0.6205
Participants in Drawing Pictures and Sculpturing (25 years of age or more)0.6127
Japanese and Foreign HIV Carriers0.6113
Foreign Residents in Japan0.6106
Number of Golfers (25 years of age or more)0.6076
Real Estate Notary0.6039
Consumption Expenditure of Cucumbers0.6036
Number of Cyclists (25 years of age or more)0.6015
Video Game Players (25 years of age or more)0.6006
Natural Gas Consumption0.5966
Broadband Contracts0.5928
Valid Passports0.591
Participants in Concert (25 years of age or more)0.5857
Thai Residents in Japan0.5823
Sri Lankan Residents in Japan0.5796
Gyudon (Beef bowl) Stores0.5785
Consumption Expenditure of Leafy Vegetables0.5776
Moviegoers (25 years of age or more)0.5764
Participants in Dance (25 years of age or more)0.5696
Cellphone Penetration0.5681
SNS Penetration0.5677
Consumption Expenditure of Jam0.5672
English Residents in Japan0.5664
Online Shopping Penetration0.5645
Domestic Tourists (Overnight stay)(25 years of age or more)0.5614
Participants in Playing Instrumentst (25 years of age or more)0.5592
Railway Passenger Transport0.5573
Consumption Expenditure of Welsh Onions0.5533
Participants in Crafts and Ceramics (25 years of age or more)0.5501
German Residents in Japan0.5437
Average Residential Land Price0.5429
Number of Joggers (25 years of age or more)0.5425
Participants in Karaoke (25 years of age or more)0.5424
Theatergoers (25 years of age or more)0.5424
Nepali Residents in Japan0.54
Consumption of Wine0.5334
Starbucks0.5327
Consumption Expenditure of Men's clothing0.5303
Consumption Expenditure of Radishes0.5287
Salary of Prefectural Governors0.5283
Consumption Expenditure of Root Vegetables0.5268
Participants in Chorus and Vocal music (25 years of age or more)0.5219
Meal TIme0.5184
Average Industrial Land Price0.5097
Kentucky Fried Chicken0.5096
Japanese HIV Carriers0.5076
Consumption Expenditure of Butter0.5071
Number of campers (25 years of age or more)0.506
Population Density0.5049
Educational Expenses0.5012
Concentration of Population0.501
Consumption Expenditure of Salad0.4978
Consumption Expenditure of Instant Dried Soup0.4969
Number of people who went back to their hometown (25 years of age or more)0.4934
Participants in Arts and Culture Studies (25 years of age or more)0.4931
Average time spent on Volunteer and social activities0.4927
Sukiya0.4885
Mobile Phone Subscriptions0.4876
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)0.4848
Participants in Dressmaking (25 years of age or more)0.4848
Consumption Expenditure of Dressing0.4834
Participants in Cooking and Sweets Cooking (25 years of age or more)0.4804
Doutor Coffee0.4798
Consumption Expenditure of Cabbage0.4764
Private High School Fee for 1st Year0.4743
French Residents in Japan0.4626
Savings per Household0.4556
Peruvian Residents in Japan0.4549
Consumption of Whisky0.4529
Consumption Expenditure of Handbags0.4517
Consumption Expenditure of Oranges0.4486
Facebook User0.4451
Philippine Residents in Japan0.4443
Consumption of Pork0.4403
Average Commercial Land Price0.44
Rate of Female Physicians0.4382
Italian Residents in Japan0.4349
Consumption Expenditure of Cucumbers0.4326
Consumption Expenditure of Strawberries0.4313
Number of Badminton Players (25 years of age or more)0.4296
Consumption Expenditure of Medical Services0.4245
Number of Basketball Players (25 years of age or more)0.4234
Working Hours0.4195
Number of Ski & Snowboard Players (25 years of age or more)0.4124
Consumption Expenditure of Mineral Water0.4105
0.4098
Domestic Tourists (Overnight stay)(25 years of age or more)0.4096
Dental Clinics0.4028
Rate of Nuclear Families0.4027
Prefectural Income0.4023
Online Video Penetration0.3968
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce0.3949
Consumption Expenditure of Medicines0.3925
Seven Eleven0.3923
Consumption Expenditure of Clothing & Footwear0.386
Consumption Expenditure of Pickled Vegetables0.3842
Number of Baseball Players (25 years of age or more)0.3836
Consumption Expenditure of Carrots0.3785
Consumption Expenditure of Onigiri0.3694
Certified Public Accountant0.3693
Consumption Expenditure of Women's Underwear0.3691
Consumption Expenditure of Women's clothing0.3688
Motorcycles Registered0.3664
Consumption Expenditure of Salmon0.3606
Participants in Japanese calligraphy (25 years of age or more)0.3604
American Residents in Japan0.358
Consumption Expenditure of String beans0.3578
Consumption Expenditure of Jiao-zi0.3505
Rate of Pediatricians0.3504
Vacation Homes0.3493
Fitness Clubs0.3486
Consumption Expenditure of ”Kabayaki”,Broiled Eels0.3469
Number of Table Tennis Players (25 years of age or more)0.3451
Spectator Sport Watchers (25 years of age or more)0.3378
Consumption Expenditure of Short-Necked Clams0.3374
Licensed Architect (1st grade)0.3322
Rate of Smoking: Female0.3319
Consumption Expenditure of Onions0.3284
Christians0.3267
Riding Ground0.3225
Consumption Expenditure of Pumpkins0.3217
Participants in Knitting and Handicraft (25 years of age or more)0.3196
Consumption Expenditure of Pickled Fish0.318
Consumption Expenditure of Milk0.316
Patient with Cavity0.3131
Attractiveness0.3095
Consumption Expenditure of Dried Laver0.3075
Participants in Homemaking Training (25 years of age or more)0.3063
Dance Studio, Dance Hall0.3034
Consumption Expenditure of “Yakitori”,Grilled Chickens0.2988
Attorney0.298
Consumption Expenditure of Men's Underwear0.2972
Labor and Social Security Attorney0.2934
Burmese Residents in Japan0.2909
Participants in Shogi (25 years of age or more)0.285
Average Life Expectancy: Male0.28
Annual Rate of Unemployment0.2795
Consumption Expenditure of Ready-to-eat Food0.2759
Consumption Expenditure of 'Yokan', Sweet Bean Jelly0.275
Consumption Expenditure of Eggplants0.2745
Consumption Expenditure of White Potatoes0.2735
Consumption Expenditure of Flavour Seasonings0.2695
Consumption Expenditure of 'Senbei', Japanese Crackers0.2685
Online Game Penetration0.2677
Yoshinoya0.2645
Dentists0.2641
Consumption Expenditure of Spinach0.2635
Consumption Expenditure of Packed Lunch0.2566
Job Offer Retractions0.2507
South and North Korean Residents in Japan0.2505
Rate of Obstetricians and Gynecologists0.2497
Death due to Lung Cancer: Female0.2493
Consumption Expenditure of Green Tea0.2439
Daily Yamazaki0.2433
Women's Housekeeping Time0.2429
Consumption Expenditure of Cutlets0.2429
Lotteria0.2327
Participants in Playing Japanese music (25 years of age or more)0.2327
Consumption Expenditure of Puddings0.2286
Engel's coefficient0.2033
Russian Residents in Japan0.2019
Washing Charges0.1994
Nakau0.198
Number of Bowling Players (25 years of age or more)0.1977
Suicide Victims: Female0.1973
Consumption Expenditure of Watermelons0.1967
People Living Alone0.1944
Saveon0.1937
Consumption Expenditure of Cakes & Candies0.1924
Mos Burger0.1901
Vietnamese Residents in Japan0.1898
Participants in Go (25 years of age or more)0.1886
Brazilian Residents in Japan0.1876
Ministop0.1872
Death due to Bowel Cancer: Male0.1869
Consumption Expenditure of Accessories0.1828
Consumption Expenditure of Hamburg Steak0.1792
Gross Production0.1699
Highest temperature0.1462
Consumption Expenditure of Fruits0.1443
Convenience Stores0.141
Death due to Bowel Cancer: Female0.1402
Consumption Expenditure of Biscuits0.1345
Consumption Expenditure of “Shimeji”, mushrooms0.1329
Indonesian Residents in Japan0.1292
Consumption Expenditure of Jelly0.1288
Employed Persons in Tertiary Industry0.1171
Consumption Expenditure of Cakes0.1169
Consumption Expenditure of Shellfish0.1075
Mean Elevation0.1069
Consumption Expenditure of Fresh Water Clams0.1039
Consumption Amount of Umbrella0.0946
Consumption Expenditure of Saury0.0936
Patients with Major depressive disorder (aged 65 or above)0.09
Golf Course0.0866
Traffic-Related Death Rate - Motorcyclist0.0855
Expenditure of Pocket Money (Household Heads)0.0849
Consumption Expenditure of ”Wakame”, seaweed0.0759
Seicomart0.0721
Consumption Expenditure of Chinese cabbage0.071
Skating Rink0.0692
Firing Range0.0683
Participants in DIY (25 years of age or more)0.0582
Consumption Expenditure of Margarine0.058
Consumption Expenditure of Scallops0.0578
Consumption Expenditure of Taros0.0522
Participants in Gardening (25 years of age or more)0.051
Consumption Expenditure of Fermented Lactic Beverages0.0452
Consumption Expenditure of Apples0.0425
Consumption Expenditure of Octopus0.0399
Consumption Expenditure of Coffee0.0343
Patients with Major depressive disorder0.0342
Consumption Expenditure of Mushrooms0.0332
Consumption Expenditure of Fried food0.0265
Households Living on Welfare0.0231
Female Physicians0.0208
Consumption Expenditure of Children's dresses0.0136
Wheat Production0.0123
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried0.0088
Ministry of Health, Labour and Welfare0.0056
Buddhists0.0022
Video Arcades0.0007
Komeda Coffee-0.0006
Consumption Expenditure of Croquettes-0.0009
Consumption Expenditure of Children's Underwear-0.0014
Participants in Japanese tea ceremony (25 years of age or more)-0.0029
Consumption Expenditure of Bananas-0.0029
Pediatricians-0.0032
Industrial Production-0.0038
Consumption Expenditure of Carbonated Beverages-0.0077
Consumption Expenditure of Frozen Food-0.0101
Consumption Expenditure of Flower-0.0106
Consumption Expenditure of 'Kasutera', Sponge Cakes-0.0158
Internet cafe-0.0213
Consumption Expenditure of Sweet Potatoes-0.0213
Consumption Expenditure of Bean Sprouts-0.0222
Consumption Expenditure of Oysters-0.0234
Japanese Archery Range-0.0277
Ski Resort-0.0299
Fish Catches-0.03
Average Life Expectancy: Female-0.0322
Shintoists-0.0329
Patients with Cancer (aged 65 or above)-0.037
Consumption Expenditure of Tomato Ketchup-0.039
Husband and Wife-0.0397
Consumption Expenditure of Citrus Fruits-0.0415
Rate of Smoking: Male-0.0448
Participants in Child-Rearing Assistance Activities (25 years of age or more)-0.0499
Consumption Expenditure of Vinegar-0.0516
Number of Children-0.0551
BMI Male-0.0566
Consumption of Alcohol-0.0649
Rate of Empty Houses-0.0664
Croquet and Gateball Field-0.0677
Employed Persons in Secondary Industry-0.0689
Death due to Stomach Cancer: Female-0.0713
Patients with Asthma-0.0735
Game Parlors-0.0787
Consumption Expenditure of Chocolate-0.0793
Consumption Expenditure of Bean curd-0.0799
Automobile Accidents-0.0802
Consumption Expenditure of Salt-0.0842
Rate of Empty Rental Houses-0.0844
Participants in Japanese flower arrangement (25 years of age or more)-0.0876
Elementary School Students-0.0878
Murder Victims-0.0881
Consumption of Beer-0.0943
National Achievement Test-0.0957
Poplar-0.0963
Drowning Death Rate (Bath)-0.0983
Baseball ground-0.1045
Consumption Expenditure of Mandarin Oranges-0.1051
Curator-0.1056
Kerosene Consumption-0.1071
Rate of Artificial Forest Land-0.1072
Consumption Expenditure of Candies-0.1138
Number of Gateball Players (25 years of age or more)-0.1146
Consumption Expenditure of Fried Bean Curd-0.1194
Consumption Expenditure of Worcester Sauce-0.1198
Liquefied Petroleum Gas Consumption-0.1212
Patients with Diabetes (aged 65 or above)-0.1268
Consumption of Sake-0.1275
Consumption Expenditure of Burdocks-0.1278
Soybean Production-0.14
Participants in Community Safety Activities (25 years of age or more)-0.1433
Consumption Expenditure of Seafood-0.1447
Consumption Expenditure of Cuttlefish-0.1467
Death due to Stomach Cancer: Male-0.1506
Consumption of Shochu-0.1555
Consumption Expenditure of Dried Tangle-0.1565
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings-0.1572
Consumption Expenditure of Bonito-0.1592
Consumption Expenditure of Soybean Paste-0.1617
Tennis Court-0.1679
Churches-0.171
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.1713
Patient with Fracture-0.1764
Consumption Expenditure of School Uniforms-0.1788
Manufacturing Industries-0.1846
Participants in Nature Conservation Activities (25 years of age or more)-0.1867
Obstetricians and Gynecologists-0.1875
H1N1 Influenza-0.1881
Patient with Fracture-0.1954
Pharmacies-0.1956
Participants in Japanese Dance (25 years of age or more)-0.2016
Consumption Expenditure of “Enokitake”, mushrooms-0.2024
Camp Site-0.2054
Patients with Cancer-0.2191
Consumption Expenditure of Flounder-0.2204
Consumption Expenditure of Horse Mackerel-0.2212
Amount of Greenhouse Gas Emission-0.2272
Paved Rate-0.2283
Consumption Expenditure of Sardines-0.2294
Consumption of Chicken-0.2294
Book Stores-0.2302
Death due to Old Age: Male-0.2344
Consumption Expenditure of Instant Curry Mix-0.2362
Death due to Liver Cancer: Male-0.2367
Death due to Lung Cancer: Male-0.2393
Consumption Expenditure of Mackerel-0.2429
Family Mart-0.2507
Homeownership-0.2523
Consumption Expenditure of Crabs-0.2535
Bowling Alley-0.2598
Monthly Cost of Water-0.2685
Temples-0.2723
Suicide Victims: Male-0.278
Patients with Dyslipidemia-0.2801
Lowson-0.2821
Bus and Taxi Registered-0.2826
BMI Female-0.2862
Number of Softball Players (25 years of age or more)-0.2874
Rice Production-0.2949
Consumption Expenditure of Soy Sauce-0.2953
Patients with Cerebral Infarction (aged 65 or above)-0.3023
Death due to Old Age: Female-0.3086
Consumption Expenditure of Fried & Salted Snack Crackers-0.3103
Mister Donut-0.3112
Consumption Expenditure of Other Raw Meat-0.3168
Participants in Volunteer Work (25 years of age or more)-0.322
Clinic-0.3241
Consumption Expenditure of Edible Oil-0.3273
Consumption Expenditure of Shrimps & Lobsters-0.3282
Traffic-Related Death Rate - Bicyclist-0.3317
Consumption of Beef-0.3349
Athletic Field-0.3349
Patients with Diabetes-0.3361
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning-0.3476
Fire Death Rate-0.3505
Rate of Single-parent Households-0.3531
Consumption Expenditure of Sugar-0.3654
Patients with Hypertension (aged 65 or above)-0.3701
Consumption Expenditure of 'Manju', Bean-jam Cakes-0.3726
Death due to Liver Cancer: Female-0.3787
Kendo Hall-0.39
Judo Hall-0.3946
Area-0.3946
Sumo Ring-0.3949
Area of Forest Land-0.3954
Swimming Pool-0.4011
Length of Coastline-0.402
Shinto Shrines-0.4092
Rate of Intraregional Railway Passenger Transport-0.4117
Pachinko Parlors-0.4299
Total Road Length-0.4302
Practicing Physicians-0.4329
Passenger Cars Registered-0.4335
Consumption Expenditure of Yellowtail-0.4356
Number of Physicians-0.438
Employed Persons in Primary Industry-0.443
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings-0.4553
Rest and Relaxation Ttime-0.456
Mass Media Viewing TIme-0.4602
Beds for Long-Term Care-0.4619
Gym-0.4748
Automobiles Registered-0.4762
Total Floor Space of Residential Buildings of one's own-0.4773
Electric Energy Consumption-0.4807
Rate of Forest Land-0.4819
Total Length of Rivers-0.484
Participants in Community Development Activities (25 years of age or more)-0.4975
Rate of Shotgun Wedding-0.5012
Number of Volleyball Players (25 years of age or more)-0.5017
Theaters and Concert halls-0.5108
Senior Citizens-0.5233
Trucks Registered-0.5253
Rate of Double-Income Households-0.5283
Sleeping Hours-0.5294
Traffic-Related Death Rate - Pedestrian-0.5304
Number of Anglers (25 years of age or more)-0.5376
Hospital-0.5428
Drowning Death Rate (Except for Bath)-0.5434
Death Due to Cancer : Female-0.5549
Male Physicians-0.56
Pachinko Players (25 years of age or more)-0.5625
Psychiatric Hospitals-0.5661
Total Floor Space of Residential Buildings of rental housing-0.569
Beds for Mental Patients-0.5722
Death Due to Cancer : Male-0.5768
School Personnel-0.6167
Traffic-Related Death Rate - All-0.6271
Traffic-Related Death Rate - Driver-0.641
Local Government Employees-0.6452
Elementary Schools-0.6512
General Beds-0.6706
Nurse-0.7
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