Correlation with "Foreign Residents in Japan"

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StatsCorrelation
Coefficient
OrderAsc Desc
Chinese Residents in Japan0.8309
Internet Penetration0.8236
Minimum Wage0.8121
Outbound Tourists (25 years of age or more)0.7982
Smartphone Penetration0.7965
Gyudon (Beef bowl) Stores0.7963
Number of Sports Players (25 years of age or more)0.789
Video Game Players (25 years of age or more)0.7813
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)0.778
Moviegoers (25 years of age or more)0.7695
Prefectural Income0.7677
Broadband Contracts0.7588
Mobile Phone Subscriptions0.7494
Philippine Residents in Japan0.7445
Cellphone Penetration0.7444
Valid Passports0.7398
English language learners (25 years of age or more)0.7371
Number of Golfers (25 years of age or more)0.7366
Monthly Rent0.7342
Number of Swimmers (25 years of age or more)0.7311
Amateur Photographers (25 years of age or more)0.7288
Number of Tennis Players (25 years of age or more)0.7267
Delivery Cost0.7208
Participants in Playing Instrumentst (25 years of age or more)0.7155
Number of Cyclists (25 years of age or more)0.7148
Number of Hikers (25 years of age or more)0.7131
Facebook User0.7055
Japanese and Foreign HIV Carriers0.7043
Fitness Clubs0.7019
Book Readers (25 years of age or more)0.6995
Vietnamese Residents in Japan0.6956
Mean Age of Father at 1st Child Birth0.6952
Theatergoers (25 years of age or more)0.6948
Domestic Tourists (Overnight stay)(25 years of age or more)0.6894
AIDS Patients0.6842
Starbucks0.6788
Matsuya0.6736
Mean Age at First Marriage (Male)0.6687
Taiwanese Residents in Japan0.6677
Number of Table Tennis Players (25 years of age or more)0.6644
Indian Residents in Japan0.6631
Savings per Household0.6602
Average Residential Land Price0.6595
Nepali Residents in Japan0.6573
Population Ratio0.6561
Population0.656
Mean Age of Mother at 1st Child Birth0.6559
Participants in Concert (25 years of age or more)0.6541
Japanese HIV Carriers0.6538
Labor and Social Security Attorney0.6521
Online Shopping Penetration0.6473
Real Estate Notary0.6468
Number of Joggers (25 years of age or more)0.6443
Participants in Arts and Culture Studies (25 years of age or more)0.6426
Participants in Classical Music Concert (25 years of age or more)0.641
Railway Passenger Transport0.6364
Domestic Tourists (Overnight stay)(25 years of age or more)0.6194
Average Industrial Land Price0.6157
Gross Production0.6148
Peruvian Residents in Japan0.6121
Consumption Expenditure of Lettuce0.6106
Sukiya0.6104
Number of Soccer Players (25 years of age or more)0.6096
Population Density0.6025
Consumption Expenditure of Shao-mais0.6004
Average Commercial Land Price0.5998
Brazilian Residents in Japan0.5992
SNS Penetration0.5954
Burmese Residents in Japan0.5901
Private High School Fee for 1st Year0.5838
Rate of Female Physicians0.5827
Online Game Penetration0.574
Participants in Drawing Pictures and Sculpturing (25 years of age or more)0.5732
Certified Public Accountant0.5699
Italian Residents in Japan0.5698
South and North Korean Residents in Japan0.5663
Licensed Architect (1st grade)0.5656
Thai Residents in Japan0.5591
Natural Gas Consumption0.5579
Participants in Homemaking Training (25 years of age or more)0.5557
Participants in Crafts and Ceramics (25 years of age or more)0.5546
Sri Lankan Residents in Japan0.5535
Mean Age at First Marriage (Female)0.5513
Consumption Expenditure of Onigiri0.5507
Consumption Expenditure of ”Kabayaki”,Broiled Eels0.5476
German Residents in Japan0.5461
Nakau0.5438
Salary of Prefectural Governors0.5391
French Residents in Japan0.5364
English Residents in Japan0.5297
Consumption Expenditure of Men's clothing0.5293
Consumption Expenditure of Instant Dried Soup0.5279
Participants in Japanese calligraphy (25 years of age or more)0.5274
Yoshinoya0.5241
Consumption Expenditure of Women's Underwear0.5229
Participants in Cooking and Sweets Cooking (25 years of age or more)0.5127
Consumption Expenditure of Butter0.5092
Spinach Production0.5087
Attorney0.5063
Consumption Expenditure of Black Tea0.5063
Participants in Karaoke (25 years of age or more)0.5058
Participants in Chorus and Vocal music (25 years of age or more)0.5027
Educational Expenses0.5026
Average time spent on Volunteer and social activities0.5014
Concentration of Population0.4958
Consumption Expenditure of Ready-to-eat Food0.4929
Average Life Expectancy: Male0.4915
Consumption Expenditure of Clothing & Footwear0.491
Komeda Coffee0.4876
Participants in Dance (25 years of age or more)0.486
Indonesian Residents in Japan0.4843
Doutor Coffee0.4831
Consumption Expenditure of Salad0.4814
Rate of Pediatricians0.4779
Number of people who went back to their hometown (25 years of age or more)0.4777
Consumption Expenditure of Cheese0.4731
Participants in Dressmaking (25 years of age or more)0.4677
Number of Bowling Players (25 years of age or more)0.4581
Consumption Expenditure of Jam0.4546
0.4514
Number of campers (25 years of age or more)0.448
Consumption Expenditure of 'Senbei', Japanese Crackers0.4442
Consumption Expenditure of Handbags0.4427
Online Video Penetration0.4377
Consumption Expenditure of Women's clothing0.4346
Industrial Production0.4232
Number of Badminton Players (25 years of age or more)0.4226
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)0.422
Ministop0.4197
Consumption of Wine0.4149
Participants in Shogi (25 years of age or more)0.4134
Consumption Expenditure of Oranges0.4106
Consumption Expenditure of Strawberries0.4081
Number of Ski & Snowboard Players (25 years of age or more)0.4072
Consumption Expenditure of Medical Services0.4037
Job Offer Retractions0.3968
Consumption Expenditure of Cakes & Candies0.3879
Internet cafe0.3811
Dental Clinics0.3777
Consumption Expenditure of Children's dresses0.3689
Consumption Expenditure of Jiao-zi0.3634
Consumption Expenditure of Cucumbers0.36
American Residents in Japan0.3532
Working Hours0.3508
Rate of Nuclear Families0.3489
Consumption Expenditure of Tomatoes0.3476
Participants in Playing Japanese music (25 years of age or more)0.3474
Rate of Obstetricians and Gynecologists0.3337
Consumption Expenditure of Puddings0.3309
Lotteria0.3306
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce0.3302
Consumption Expenditure of Milk0.3243
Consumption Expenditure of Pickled Vegetables0.3241
Number of Baseball Players (25 years of age or more)0.3224
Russian Residents in Japan0.3218
Participants in Knitting and Handicraft (25 years of age or more)0.3218
Consumption Expenditure of Accessories0.3169
Consumption Expenditure of Welsh Onions0.3099
Consumption Expenditure of Green Tea0.3071
Consumption Expenditure of Short-Necked Clams0.3055
Participants in Japanese tea ceremony (25 years of age or more)0.2981
Consumption Expenditure of Cutlets0.2918
Consumption Expenditure of Cakes0.2901
Washing Charges0.2886
Number of Basketball Players (25 years of age or more)0.2885
Christians0.2862
Consumption Expenditure of Mineral Water0.2834
Women's Housekeeping Time0.2779
Consumption Amount of Umbrella0.2774
Female Physicians0.2717
Consumption Expenditure of Broccoli0.2717
Consumption Expenditure of Flavour Seasonings0.2715
Consumption Expenditure of Croquettes0.2696
Spectator Sport Watchers (25 years of age or more)0.2693
Convenience Stores0.2577
Buddhists0.2477
Participants in Go (25 years of age or more)0.247
People Living Alone0.2458
Participants in Japanese flower arrangement (25 years of age or more)0.2362
Seven Eleven0.2355
Meal TIme0.2338
Consumption Expenditure of Nori0.2333
Consumption Expenditure of Margarine0.2326
Engel's coefficient0.2324
Consumption of Whisky0.2302
Pediatricians0.2299
Consumption Expenditure of Dressing0.2296
Consumption Expenditure of 'Yokan', Sweet Bean Jelly0.2285
Dentists0.2268
Employed Persons in Secondary Industry0.2256
Motorcycles Registered0.2244
Consumption Expenditure of Men's Underwear0.2103
Consumption Expenditure of White Potatoes0.2096
Family Mart0.2062
Consumption Expenditure of Fried Bean Curd0.1968
Consumption Expenditure of Octopus0.1909
Consumption Expenditure of Tomato Ketchup0.1856
Manufacturing Industries0.1826
Ministry of Health, Labour and Welfare0.1809
Obstetricians and Gynecologists0.1784
Consumption Expenditure of Taros0.1768
Kentucky Fried Chicken0.1661
Consumption Expenditure of Leafy Vegetables0.1649
Attractiveness0.159
Vacation Homes0.1586
Consumption Expenditure of Chocolate0.154
Saveon0.1488
Death due to Lung Cancer: Female0.1466
Consumption Expenditure of Packed Lunch0.1422
Consumption Expenditure of Worcester Sauce0.1373
Average Life Expectancy: Female0.137
Mos Burger0.1334
Paved Rate0.1329
Consumption Expenditure of Radishes0.1325
Consumption Expenditure of Bananas0.1316
Number of Children0.123
Participants in Child-Rearing Assistance Activities (25 years of age or more)0.1224
Consumption Expenditure of Biscuits0.1183
Participants in Community Safety Activities (25 years of age or more)0.1126
Consumption Expenditure of “Shimeji”, mushrooms0.1109
Riding Ground0.1038
Video Arcades0.1021
Consumption Expenditure of Root Vegetables0.0974
National Achievement Test0.0956
Consumption Expenditure of Hamburg Steak0.0912
Consumption Expenditure of Oysters0.0909
Consumption Expenditure of Cabbage0.0906
Consumption Expenditure of Cucumbers0.079
Elementary School Students0.0777
Death due to Bowel Cancer: Female0.076
Automobile Accidents0.0753
Husband and Wife0.0679
Consumption Expenditure of Chinese cabbage0.0623
Consumption Expenditure of Pumpkins0.0593
Traffic-Related Death Rate - Motorcyclist0.0592
Consumption Expenditure of Fried food0.0579
Consumption Expenditure of String beans0.0564
Consumption Expenditure of “Yakitori”,Grilled Chickens0.053
Consumption Expenditure of Eggplants0.049
Consumption Expenditure of Frozen Food0.0477
Consumption Expenditure of Children's Underwear0.0454
Suicide Victims: Female0.0445
Consumption Expenditure of Candies0.0437
Rate of Smoking: Female0.0406
Curator0.0376
Fish Catches0.0357
Book Stores0.0347
Consumption Expenditure of Jelly0.034
Mean Elevation0.0324
Consumption Expenditure of Spinach0.0276
Consumption Expenditure of Coffee0.0253
Traffic-Related Death Rate - Bicyclist0.0192
Death due to Stomach Cancer: Female0.018
Rate of Artificial Forest Land0.0174
Consumption Expenditure of Flower0.012
Aged patients with Cancer0.0053
Participants in DIY (25 years of age or more)0.0021
Daily Yamazaki0.0006
Consumption Expenditure of Onions-0.002
Firing Range-0.003
Dance Studio, Dance Hall-0.003
Shintoists-0.0064
Consumption Expenditure of Fermented Lactic Beverages-0.0097
Expenditure of Pocket Money (Household Heads)-0.0113
Consumption Expenditure of Watermelons-0.0188
Poplar-0.0209
Consumption Expenditure of Katsuobushi-0.0293
Consumption of Beef-0.0297
Consumption Expenditure of 'Kasutera', Sponge Cakes-0.0318
Consumption Expenditure of Carrots-0.0353
Annual Rate of Unemployment-0.0364
Amount of Greenhouse Gas Emission-0.0376
Temples-0.039
Golf Course-0.0391
Participants in Gardening (25 years of age or more)-0.0409
Drowning Death Rate (Bath)-0.0417
Consumption Expenditure of Mushrooms-0.0478
H1N1 Influenza-0.0537
Participants in Nature Conservation Activities (25 years of age or more)-0.0645
Rate of Empty Rental Houses-0.0677
Mister Donut-0.0778
Consumption of Pork-0.0804
Wheat Production-0.0806
Game Parlors-0.081
Rate of Empty Houses-0.0836
Death due to Bowel Cancer: Male-0.0872
Consumption Expenditure of Salmon-0.0876
Participants in Volunteer Work (25 years of age or more)-0.0911
Consumption of Beer-0.0912
Consumption Expenditure of Bean curd-0.0919
Consumption Expenditure of “Enokitake”, mushrooms-0.0953
Clinic-0.096
Consumption Expenditure of Crabs-0.0999
Consumption Expenditure of Yellowtail-0.1011
Number of Softball Players (25 years of age or more)-0.1042
Patients with Major depressive disorder-0.1051
Murder Victims-0.107
Consumption Expenditure of Wakame-0.1122
Consumption Expenditure of Fruits-0.1157
Consumption Expenditure of Fresh Water Clams-0.1204
Seicomart-0.1247
Consumption Expenditure of Sweet Potatoes-0.1322
Ages patients with Major depressive disorder-0.1387
Number of Gateball Players (25 years of age or more)-0.1428
Death due to Lung Cancer: Male-0.1454
Employed Persons in Tertiary Industry-0.1509
Rate of Smoking: Male-0.1515
Death due to Liver Cancer: Female-0.1543
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings-0.1554
Consumption Expenditure of 'Manju', Bean-jam Cakes-0.164
Soybean Production-0.1659
Households Living on Welfare-0.1701
Baseball ground-0.1704
Consumption Expenditure of School Uniforms-0.1745
Consumption of Sake-0.1839
Consumption Expenditure of Fried & Salted Snack Crackers-0.1924
Number of Physicians-0.1945
Skating Rink-0.1949
Consumption Expenditure of Shellfish-0.1958
Practicing Physicians-0.1969
Consumption Expenditure of Mandarin Oranges-0.2006
Consumption Expenditure of Saury-0.2034
Consumption Expenditure of Horse Mackerel-0.2078
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.2084
Consumption Expenditure of Bonito-0.2104
Death due to Stomach Cancer: Male-0.2163
Japanese Archery Range-0.2244
Consumption Expenditure of Shrimps & Lobsters-0.2282
Consumption Expenditure of Kombu-0.2342
Participants in Community Development Activities (25 years of age or more)-0.235
Consumption Expenditure of Mackerel-0.2359
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings-0.2367
Electric Energy Consumption-0.2378
Consumption Expenditure of Citrus Fruits-0.2406
Patients with Asthma-0.2455
Rice Production-0.2458
Death due to Old Age: Male-0.2495
Consumption Expenditure of Apples-0.2495
Ski Resort-0.2529
Death due to Liver Cancer: Male-0.2615
Consumption of Chicken-0.2657
Consumption Expenditure of Scallops-0.2683
Consumption Expenditure of Sardines-0.2705
Pharmacies-0.2745
Liquefied Petroleum Gas Consumption-0.275
Consumption Expenditure of Bean Sprouts-0.2875
Homeownership-0.2884
Death due to Old Age: Female-0.2929
Lowson-0.3053
Consumption Expenditure of Carbonated Beverages-0.3073
Participants in Japanese Dance (25 years of age or more)-0.3095
Shinto Shrines-0.319
Churches-0.3221
Consumption Expenditure of Instant Curry Mix-0.3229
Consumption of Alcohol-0.3251
Consumption Expenditure of Cuttlefish-0.3256
Consumption Expenditure of Vinegar-0.3308
Camp Site-0.3392
Total Floor Space of Residential Buildings of one's own-0.342
Pachinko Players (25 years of age or more)-0.3545
Passenger Cars Registered-0.3547
Consumption Expenditure of Soy Sauce-0.3587
Croquet and Gateball Field-0.3619
Consumption Expenditure of Flounder-0.3632
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning-0.3672
Patients with Cancer-0.371
Male Physicians-0.3744
Rate of Intraregional Railway Passenger Transport-0.3762
Consumption Expenditure of Burdocks-0.3783
Consumption of Shochu-0.3803
Number of Volleyball Players (25 years of age or more)-0.387
Tennis Court-0.3886
Consumption Expenditure of Seafood-0.3904
Number of Anglers (25 years of age or more)-0.3967
Consumption Expenditure of Soybean Paste-0.4093
Consumption Expenditure of Salt-0.4204
Kerosene Consumption-0.4255
Patients with Diabetes-0.4267
Beds for Long-Term Care-0.4354
Theaters and Concert halls-0.4383
Length of Coastline-0.4419
Rate of Double-Income Households-0.4421
Traffic-Related Death Rate - Pedestrian-0.4452
Automobiles Registered-0.4464
Consumption Expenditure of Edible Oil-0.4518
Patients with Hypertension-0.4656
Pachinko Parlors-0.4768
Rate of Forest Land-0.4899
Athletic Field-0.4944
Bowling Alley-0.4948
Monthly Cost of Water-0.4961
Traffic-Related Death Rate - All-0.499
Consumption Expenditure of Sugar-0.5175
Consumption Expenditure of Other Raw Meat-0.5237
Rate of Single-parent Households-0.5289
Kendo Hall-0.5322
Total Road Length-0.5396
Sumo Ring-0.545
Drowning Death Rate (Except for Bath)-0.5492
Hospital-0.5505
Rest and Relaxation Ttime-0.5512
Bus and Taxi Registered-0.5556
Swimming Pool-0.5587
Traffic-Related Death Rate - Driver-0.5601
Judo Hall-0.5643
Mass Media Viewing TIme-0.5681
Suicide Victims: Male-0.5695
Area of Forest Land-0.5936
Trucks Registered-0.6044
Total Length of Rivers-0.6172
Area-0.6217
Gym-0.6239
Psychiatric Hospitals-0.6281
Fire Death Rate-0.6307
Death Due to Cancer : Female-0.6321
Senior Citizens-0.6325
Total Floor Space of Residential Buildings of rental housing-0.6494
Local Government Employees-0.6569
Rate of Shotgun Wedding-0.6657
Sleeping Hours-0.6708
Employed Persons in Primary Industry-0.6714
Elementary Schools-0.6761
Nurse-0.6815
Death Due to Cancer : Male-0.6817
Beds for Mental Patients-0.6964
School Personnel-0.7033
General Beds-0.7048
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