Correlation with "Indonesian Residents in Japan"

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StatsCorrelation
Coefficient
OrderAsc Desc
Industrial Production0.651
Peruvian Residents in Japan0.5881
Philippine Residents in Japan0.5713
Vietnamese Residents in Japan0.5548
Ministry of Health, Labour and Welfare0.535
Sri Lankan Residents in Japan0.529
Brazilian Residents in Japan0.5199
Thai Residents in Japan0.5072
Foreign Residents in Japan0.4843
Number of Golfers (25 years of age or more)0.4821
Sukiya0.474
Automobile Accidents0.4688
Consumption Expenditure of Women's Underwear0.4629
Employed Persons in Secondary Industry0.4532
Online Game Penetration0.3956
Ministop0.3885
Traffic-Related Death Rate - Bicyclist0.3854
Participants in Gardening (25 years of age or more)0.3766
Elementary School Students0.3723
Number of Sports Players (25 years of age or more)0.3688
Prefectural Income0.3612
Fitness Clubs0.3458
Number of Bowling Players (25 years of age or more)0.3454
Consumption Expenditure of Children's dresses0.3445
Komeda Coffee0.3444
Average Life Expectancy: Male0.3395
Participants in Japanese calligraphy (25 years of age or more)0.3357
Number of Children0.3347
AIDS Patients0.3273
Manufacturing Industries0.3262
Number of Table Tennis Players (25 years of age or more)0.3244
Husband and Wife0.32
Number of Soccer Players (25 years of age or more)0.3176
Burmese Residents in Japan0.3161
Domestic Tourists (Overnight stay)(25 years of age or more)0.3131
Consumption Expenditure of Instant Dried Soup0.3109
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)0.3078
Smartphone Penetration0.2996
Passenger Cars Registered0.2955
Number of Tennis Players (25 years of age or more)0.29
Consumption Expenditure of 'Senbei', Japanese Crackers0.2897
Video Game Players (25 years of age or more)0.2806
Internet Penetration0.2775
Salary of Prefectural Governors0.2757
Nepali Residents in Japan0.2742
Gross Production0.2718
Participants in DIY (25 years of age or more)0.2716
Consumption Expenditure of Dried Laver0.2702
Participants in Community Safety Activities (25 years of age or more)0.2693
Rate of Pediatricians0.2639
Consumption Expenditure of Short-Necked Clams0.2633
Consumption Expenditure of Onigiri0.257
Consumption Expenditure of Green Tea0.2568
Savings per Household0.2537
Consumption Expenditure of ”Kabayaki”,Broiled Eels0.2533
Moviegoers (25 years of age or more)0.2533
Starbucks0.2482
Participants in Playing Instrumentst (25 years of age or more)0.2471
SNS Penetration0.2458
Number of Cyclists (25 years of age or more)0.241
Consumption Expenditure of 'Manju', Bean-jam Cakes0.241
Cellphone Penetration0.2398
Number of Joggers (25 years of age or more)0.2376
Motorcycles Registered0.2365
Consumption Expenditure of Jiao-zi0.2364
Amateur Photographers (25 years of age or more)0.2344
Consumption Expenditure of Mineral Water0.2262
Participants in Child-Rearing Assistance Activities (25 years of age or more)0.225
Consumption Expenditure of Clothing & Footwear0.2218
Rate of Female Physicians0.2194
Consumption Expenditure of Cakes & Candies0.2165
Seven Eleven0.2162
Traffic-Related Death Rate - Motorcyclist0.2147
Amount of Greenhouse Gas Emission0.2113
Saveon0.2113
Automobiles Registered0.2101
Internet cafe0.2097
Japanese and Foreign HIV Carriers0.2079
Delivery Cost0.2061
Consumption Expenditure of Candies0.2057
Women's Housekeeping Time0.2055
Number of Badminton Players (25 years of age or more)0.2028
Participants in Volunteer Work (25 years of age or more)0.2019
Highest temperature0.2003
Valid Passports0.199
Consumption Expenditure of Biscuits0.1984
Expenditure of Pocket Money (Household Heads)0.1982
Participants in Nature Conservation Activities (25 years of age or more)0.198
Consumption Expenditure of Chocolate0.1956
Consumption Expenditure of Women's clothing0.195
Indian Residents in Japan0.1931
Consumption Expenditure of Packed Lunch0.1926
Gyudon (Beef bowl) Stores0.1882
Number of Swimmers (25 years of age or more)0.1859
Participants in Playing Japanese music (25 years of age or more)0.1853
Consumption Expenditure of Ready-to-eat Food0.185
Working Hours0.1844
Golf Course0.1838
Domestic Tourists (Overnight stay)(25 years of age or more)0.1836
Chinese Residents in Japan0.1834
Patient with Fracture0.1834
Participants in Japanese flower arrangement (25 years of age or more)0.183
Participants in Community Development Activities (25 years of age or more)0.183
Outbound Tourists (25 years of age or more)0.1792
Participants in Japanese tea ceremony (25 years of age or more)0.1765
Traffic-Related Death Rate - Pedestrian0.1759
Consumption Expenditure of Children's Underwear0.1751
Patients with Diabetes (aged 65 or above)0.1728
Rate of Artificial Forest Land0.1701
Yoshinoya0.1673
Consumption Expenditure of Fried & Salted Snack Crackers0.1668
Consumption Expenditure of Handbags0.1664
Consumption Expenditure of Strawberries0.166
Lotteria0.1658
Participants in Homemaking Training (25 years of age or more)0.1639
Job Offer Retractions0.1625
Consumption Expenditure of Salad0.162
Mobile Phone Subscriptions0.1608
Rate of Obstetricians and Gynecologists0.1605
Consumption Expenditure of Shao-mais0.1587
Consumption Expenditure of Medical Services0.1557
Facebook User0.1536
Liquefied Petroleum Gas Consumption0.1523
Traffic-Related Death Rate - All0.1521
Consumption Expenditure of Men's clothing0.1521
Minimum Wage0.1507
Average time spent on Volunteer and social activities0.1503
Private High School Fee for 1st Year0.1497
Consumption Expenditure of Frozen Food0.149
Participants in Dance (25 years of age or more)0.1485
Rate of Empty Houses0.1475
Patient with Fracture0.1414
H1N1 Influenza0.1412
English language learners (25 years of age or more)0.14
Paved Rate0.1389
Video Arcades0.1353
Average Life Expectancy: Female0.1352
Family Mart0.1337
Vacation Homes0.1335
Patient with Cavity0.13
Participants in Concert (25 years of age or more)0.1299
Consumption Expenditure of Lettuce0.1292
Participants in Karaoke (25 years of age or more)0.1274
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce0.1267
Consumption Expenditure of Cakes0.1265
Consumption Expenditure of Accessories0.1259
Consumption Expenditure of Dressing0.1235
Consumption Expenditure of Oranges0.1219
Consumption Expenditure of Flavour Seasonings0.1163
Consumption Expenditure of Puddings0.1139
Number of Hikers (25 years of age or more)0.113
Number of Softball Players (25 years of age or more)0.1102
Spinach Production0.1059
Consumption Expenditure of Oysters0.1057
Consumption Expenditure of Sweet Potatoes0.101
Theatergoers (25 years of age or more)0.1007
Fish Catches0.0995
Monthly Rent0.099
Participants in Shogi (25 years of age or more)0.0979
Educational Expenses0.0959
Consumption Expenditure of Hamburg Steak0.0949
Number of Baseball Players (25 years of age or more)0.0925
Consumption Expenditure of Milk0.0913
Broadband Contracts0.0912
Book Readers (25 years of age or more)0.0908
Participants in Arts and Culture Studies (25 years of age or more)0.0903
Consumption Expenditure of Worcester Sauce0.0886
Baseball ground0.0885
Participants in Cooking and Sweets Cooking (25 years of age or more)0.0884
Rate of Nuclear Families0.0854
Consumption Expenditure of 'Yokan', Sweet Bean Jelly0.0844
Consumption Expenditure of Jelly0.0843
Consumption Expenditure of Mandarin Oranges0.0833
Consumption Expenditure of Fermented Lactic Beverages0.083
Participants in Crafts and Ceramics (25 years of age or more)0.0814
Consumption Expenditure of Cutlets0.0785
Participants in Go (25 years of age or more)0.0764
Consumption Amount of Umbrella0.0745
Japanese HIV Carriers0.0712
Homeownership0.0711
Rate of Smoking: Male0.0704
Consumption Expenditure of Fried Bean Curd0.0692
Convenience Stores0.0685
Labor and Social Security Attorney0.065
Consumption Expenditure of Taros0.0649
Consumption Expenditure of Croquettes0.0643
Consumption Expenditure of Jam0.064
Consumption Expenditure of Tomato Ketchup0.0639
National Achievement Test0.062
Riding Ground0.0544
Nakau0.0518
Consumption Expenditure of Bananas0.05
Online Video Penetration0.0492
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried0.0484
Mean Age at First Marriage (Male)0.0475
Consumption Expenditure of Yellowtail0.0464
Temples0.0456
Online Shopping Penetration0.0451
Consumption Expenditure of Bonito0.045
Taiwanese Residents in Japan0.0432
Electric Energy Consumption0.0432
Consumption Expenditure of Men's Underwear0.0419
Consumption Expenditure of “Shimeji”, mushrooms0.0416
Number of Basketball Players (25 years of age or more)0.041
Pachinko Players (25 years of age or more)0.0343
Participants in Classical Music Concert (25 years of age or more)0.0335
Russian Residents in Japan0.0333
Dance Studio, Dance Hall0.0321
Consumption Expenditure of Citrus Fruits0.0308
Female Physicians0.0301
Rate of Empty Rental Houses0.0259
Game Parlors0.0247
Curator0.0245
Murder Victims0.0244
Soybean Production0.0237
Firing Range0.0233
Participants in Drawing Pictures and Sculpturing (25 years of age or more)0.0221
Mos Burger0.022
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings0.02
Consumption Expenditure of Edible Oil0.0194
Consumption Expenditure of Cheese0.0188
Consumption Expenditure of Butter0.0175
Mean Age of Father at 1st Child Birth0.0165
Real Estate Notary0.0131
Licensed Architect (1st grade)0.0083
Consumption Expenditure of Horse Mackerel0.0068
Rate of Double-Income Households0.0051
Italian Residents in Japan0.0037
Number of campers (25 years of age or more)0.0037
Poplar0.0015
Mean Age of Mother at 1st Child Birth-0.001
Trucks Registered-0.0011
Traffic-Related Death Rate - Driver-0.0016
Number of Ski & Snowboard Players (25 years of age or more)-0.0016
Obstetricians and Gynecologists-0.0027
Consumption Expenditure of Black Tea-0.0044
Spectator Sport Watchers (25 years of age or more)-0.0091
Consumption Expenditure of School Uniforms-0.0093
Wheat Production-0.0104
Death due to Liver Cancer: Female-0.0122
Average Residential Land Price-0.0136
Total Floor Space of Residential Buildings of one's own-0.014
Consumption Expenditure of Octopus-0.0144
Shinto Shrines-0.0148
Population Ratio-0.0156
Population-0.0157
Number of Volleyball Players (25 years of age or more)-0.0165
Consumption Expenditure of Fried food-0.018
Consumption Expenditure of “Enokitake”, mushrooms-0.0197
Mean Elevation-0.0201
Washing Charges-0.0208
Population Density-0.021
Consumption Expenditure of Cucumbers-0.0218
Consumption Expenditure of Cabbage-0.0225
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)-0.0231
Mean Age at First Marriage (Female)-0.0248
Consumption Expenditure of Chinese cabbage-0.0262
American Residents in Japan-0.0278
Average Industrial Land Price-0.0285
Certified Public Accountant-0.0295
Camp Site-0.0305
Consumption Expenditure of Tomatoes-0.0319
South and North Korean Residents in Japan-0.0319
Matsuya-0.0351
Consumption Expenditure of Coffee-0.0408
Kendo Hall-0.0417
Consumption of Beef-0.0421
Attorney-0.0451
Number of people who went back to their hometown (25 years of age or more)-0.0451
Number of Gateball Players (25 years of age or more)-0.0468
Kentucky Fried Chicken-0.0492
Consumption Expenditure of Instant Curry Mix-0.0494
Consumption Expenditure of Cucumbers-0.0509
Shintoists-0.0511
Consumption Expenditure of Pickled Vegetables-0.0551
Consumption Expenditure of White Potatoes-0.0557
Consumption Expenditure of 'Kasutera', Sponge Cakes-0.0563
Pediatricians-0.0567
Drowning Death Rate (Bath)-0.0571
Average Commercial Land Price-0.058
Buddhists-0.0583
German Residents in Japan-0.0598
Patients with Diabetes-0.0601
Consumption Expenditure of Margarine-0.0605
Number of Anglers (25 years of age or more)-0.0615
French Residents in Japan-0.0641
Pharmacies-0.0643
Consumption Expenditure of Mackerel-0.0659
Rice Production-0.0672
Death due to Old Age: Male-0.0672
Death due to Stomach Cancer: Female-0.0702
English Residents in Japan-0.0723
Railway Passenger Transport-0.0726
Japanese Archery Range-0.0731
Death due to Liver Cancer: Male-0.0751
Consumption Expenditure of Flower-0.0776
Participants in Dressmaking (25 years of age or more)-0.0821
Consumption Expenditure of Fruits-0.0822
-0.086
Natural Gas Consumption-0.0866
Consumption Expenditure of Mushrooms-0.0886
Dental Clinics-0.0919
Hospital-0.0932
Consumption Expenditure of Soy Sauce-0.0933
Book Stores-0.0943
Beds for Long-Term Care-0.0947
Patients with Major depressive disorder (aged 65 or above)-0.0947
Death due to Old Age: Female-0.0967
Total Road Length-0.1003
Consumption Expenditure of Watermelons-0.1024
Consumption Expenditure of Welsh Onions-0.1033
Consumption Expenditure of Bean curd-0.1053
Consumption Expenditure of Crabs-0.1053
Concentration of Population-0.1054
Participants in Chorus and Vocal music (25 years of age or more)-0.1068
Tennis Court-0.1085
BMI Male-0.1169
Consumption Expenditure of Pumpkins-0.1178
Total Floor Space of Residential Buildings of rental housing-0.118
Seicomart-0.1181
Suicide Victims: Female-0.12
Patients with Hypertension (aged 65 or above)-0.121
Theaters and Concert halls-0.1256
Rate of Smoking: Female-0.1267
Patients with Cerebral Infarction (aged 65 or above)-0.1312
Consumption Expenditure of Medicines-0.1342
Judo Hall-0.1372
Participants in Japanese Dance (25 years of age or more)-0.1459
Patients with Asthma-0.1502
Dentists-0.1525
Daily Yamazaki-0.153
Nurse-0.1537
Christians-0.1557
Mass Media Viewing TIme-0.1563
People Living Alone-0.1568
Consumption Expenditure of ”Wakame”, seaweed-0.159
Pachinko Parlors-0.1596
Practicing Physicians-0.1632
Doutor Coffee-0.1637
Consumption Expenditure of Broccoli-0.1644
Rate of Shotgun Wedding-0.1645
Consumption Expenditure of Sardines-0.1671
Drowning Death Rate (Except for Bath)-0.1686
Consumption Expenditure of Carrots-0.1693
Participants in Knitting and Handicraft (25 years of age or more)-0.1694
Number of Physicians-0.1698
Consumption Expenditure of Pickled Fish-0.1699
Consumption of Chicken-0.1753
Death due to Lung Cancer: Female-0.1765
Sumo Ring-0.1769
Consumption of Sake-0.1795
Consumption of Wine-0.18
Consumption Expenditure of Fresh Water Clams-0.1801
BMI Female-0.1801
Consumption Expenditure of Burdocks-0.1803
Monthly Cost of Water-0.1832
Consumption Expenditure of “Yakitori”,Grilled Chickens-0.1847
Consumption Expenditure of Shrimps & Lobsters-0.1863
Consumption Expenditure of Dried Tangle-0.1872
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning-0.1878
Consumption Expenditure of Sugar-0.192
Bowling Alley-0.1946
School Personnel-0.1947
Consumption Expenditure of Soybean Paste-0.1956
Psychiatric Hospitals-0.1995
Consumption of Whisky-0.2011
Consumption of Shochu-0.2029
Consumption Expenditure of Vinegar-0.2035
Patients with Cancer (aged 65 or above)-0.2061
Patients with Major depressive disorder-0.2076
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings-0.2088
Meal TIme-0.2095
Consumption Expenditure of Salmon-0.2119
Length of Coastline-0.212
Beds for Mental Patients-0.2168
Death due to Lung Cancer: Male-0.2168
Athletic Field-0.2182
Consumption Expenditure of Radishes-0.2198
Employed Persons in Primary Industry-0.2221
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.2227
Consumption Expenditure of String beans-0.2255
Bus and Taxi Registered-0.2263
Consumption Expenditure of Saury-0.2297
Mister Donut-0.2297
Consumption Expenditure of Onions-0.2299
Consumption Expenditure of Root Vegetables-0.2305
Rate of Single-parent Households-0.2322
Patients with Dyslipidemia-0.2337
Male Physicians-0.2372
Consumption Expenditure of Leafy Vegetables-0.2382
Clinic-0.2402
Rate of Intraregional Railway Passenger Transport-0.2415
Croquet and Gateball Field-0.247
Consumption Expenditure of Eggplants-0.2483
Consumption Expenditure of Shellfish-0.2518
Churches-0.2521
Ski Resort-0.2609
General Beds-0.263
Death due to Bowel Cancer: Female-0.2652
Skating Rink-0.267
Engel's coefficient-0.2675
Consumption Expenditure of Apples-0.2724
Total Length of Rivers-0.2781
Elementary Schools-0.2811
Swimming Pool-0.2837
Attractiveness-0.2849
Death due to Stomach Cancer: Male-0.2855
Annual Rate of Unemployment-0.2871
Death due to Bowel Cancer: Male-0.2903
Patients with Cancer-0.2921
Senior Citizens-0.2948
Local Government Employees-0.295
Consumption Expenditure of Scallops-0.307
Consumption Expenditure of Carbonated Beverages-0.3078
Consumption of Beer-0.3139
Consumption Expenditure of Spinach-0.3257
Rate of Forest Land-0.3272
Rest and Relaxation Ttime-0.3283
Consumption of Pork-0.3345
Consumption Expenditure of Salt-0.337
Sleeping Hours-0.3429
Consumption Expenditure of Seafood-0.3456
Consumption Expenditure of Other Raw Meat-0.3474
Consumption Expenditure of Bean Sprouts-0.3496
Gym-0.3516
Consumption Expenditure of Cuttlefish-0.356
Kerosene Consumption-0.3592
Consumption Expenditure of Flounder-0.3605
Fire Death Rate-0.361
Lowson-0.3612
Death Due to Cancer : Female-0.3619
Households Living on Welfare-0.3743
Consumption of Alcohol-0.3994
Suicide Victims: Male-0.4029
Employed Persons in Tertiary Industry-0.4266
Death Due to Cancer : Male-0.4333
Area-0.4334
Area of Forest Land-0.4473
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