Correlation with "Burmese Residents in Japan"

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StatsCorrelation
Coefficient
OrderAsc Desc
Mobile Phone Subscriptions0.7274
Certified Public Accountant0.7265
Attorney0.6982
Japanese HIV Carriers0.687
Gross Production0.656
Job Offer Retractions0.6546
Average Commercial Land Price0.6406
Prefectural Income0.6383
Labor and Social Security Attorney0.6288
Broadband Contracts0.6267
Japanese and Foreign HIV Carriers0.6256
Average Industrial Land Price0.6234
Chinese Residents in Japan0.6213
Italian Residents in Japan0.6182
Nepali Residents in Japan0.6172
French Residents in Japan0.6054
Doutor Coffee0.6009
Average Residential Land Price0.5989
Indian Residents in Japan0.5923
Foreign Residents in Japan0.5901
Buddhists0.5734
Railway Passenger Transport0.5725
Licensed Architect (1st grade)0.5695
English Residents in Japan0.5588
Washing Charges0.5538
Matsuya0.5406
Monthly Rent0.5396
Consumption Expenditure of Women's Underwear0.5299
Gyudon (Beef bowl) Stores0.5296
Facebook User0.5269
Starbucks0.52
German Residents in Japan0.5172
Real Estate Notary0.5148
Population Density0.5141
Christians0.5115
Theatergoers (25 years of age or more)0.5098
Number of Table Tennis Players (25 years of age or more)0.5076
Number of Tennis Players (25 years of age or more)0.5065
Consumption Expenditure of Women's clothing0.5043
Outbound Tourists (25 years of age or more)0.504
Rate of Female Physicians0.5017
AIDS Patients0.4995
English language learners (25 years of age or more)0.486
Delivery Cost0.4859
Number of Swimmers (25 years of age or more)0.4836
Taiwanese Residents in Japan0.4815
Number of Sports Players (25 years of age or more)0.4792
Number of Cyclists (25 years of age or more)0.476
Participants in Playing Instrumentst (25 years of age or more)0.4735
Online Shopping Penetration0.4711
Number of Joggers (25 years of age or more)0.4677
Salary of Prefectural Governors0.4633
Book Readers (25 years of age or more)0.4631
Consumption Expenditure of Onigiri0.4602
Fitness Clubs0.4574
Consumption Expenditure of Clothing & Footwear0.457
Mean Age of Father at 1st Child Birth0.4486
Valid Passports0.4474
Smartphone Penetration0.4473
Dental Clinics0.4471
Spinach Production0.4468
Population0.4467
Population Ratio0.4467
Mean Age of Mother at 1st Child Birth0.4448
Internet Penetration0.4373
Female Physicians0.4368
Savings per Household0.4354
Participants in Arts and Culture Studies (25 years of age or more)0.4286
Consumption Expenditure of Medical Services0.4272
Consumption of Wine0.4248
Participants in Classical Music Concert (25 years of age or more)0.4246
Video Game Players (25 years of age or more)0.4239
Cellphone Penetration0.4186
Mean Age at First Marriage (Male)0.4167
Amateur Photographers (25 years of age or more)0.416
Moviegoers (25 years of age or more)0.414
Mean Age at First Marriage (Female)0.4113
Philippine Residents in Japan0.4093
Participants in Concert (25 years of age or more)0.4065
Consumption Expenditure of Mineral Water0.3971
Yoshinoya0.3954
Minimum Wage0.3927
Consumption Expenditure of Accessories0.3921
American Residents in Japan0.3875
Ministop0.3859
Number of Hikers (25 years of age or more)0.381
Sukiya0.3802
Domestic Tourists (Overnight stay)(25 years of age or more)0.3786
Dentists0.3784
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)0.3747
Consumption Expenditure of Children's dresses0.3678
Number of Golfers (25 years of age or more)0.3655
Consumption Expenditure of Strawberries0.3619
Consumption Expenditure of Men's clothing0.3609
Participants in Dance (25 years of age or more)0.36
Consumption Expenditure of Instant Dried Soup0.359
Vietnamese Residents in Japan0.3577
Consumption Expenditure of Cakes & Candies0.3495
Consumption Expenditure of Cakes0.348
People Living Alone0.339
Number of Soccer Players (25 years of age or more)0.3367
Participants in Drawing Pictures and Sculpturing (25 years of age or more)0.3357
Internet cafe0.334
Peruvian Residents in Japan0.3329
Number of people who went back to their hometown (25 years of age or more)0.3328
Consumption Expenditure of Handbags0.3322
Consumption Expenditure of Shao-mais0.3314
Consumption Expenditure of Salad0.3314
Fish Catches0.3305
SNS Penetration0.3249
Participants in Cooking and Sweets Cooking (25 years of age or more)0.3212
Online Video Penetration0.3172
Indonesian Residents in Japan0.3161
Obstetricians and Gynecologists0.3161
Online Game Penetration0.3161
Consumption of Whisky0.3156
Working Hours0.3142
Participants in Crafts and Ceramics (25 years of age or more)0.3116
Educational Expenses0.2998
Consumption Expenditure of Ready-to-eat Food0.2971
Consumption Expenditure of 'Senbei', Japanese Crackers0.2917
Consumption Expenditure of Lettuce0.2909
Consumption Expenditure of Butter0.2908
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)0.2903
Average Life Expectancy: Male0.2833
Consumption Expenditure of Cheese0.2832
Natural Gas Consumption0.2826
Brazilian Residents in Japan0.2818
Participants in Homemaking Training (25 years of age or more)0.2798
Number of Ski & Snowboard Players (25 years of age or more)0.2761
Pediatricians0.2754
Participants in Karaoke (25 years of age or more)0.2691
Sri Lankan Residents in Japan0.2689
Domestic Tourists (Overnight stay)(25 years of age or more)0.2674
Consumption Expenditure of Black Tea0.2669
Average time spent on Volunteer and social activities0.2663
Private High School Fee for 1st Year0.2633
Consumption Expenditure of Tomatoes0.2623
Participants in Playing Japanese music (25 years of age or more)0.2619
Participants in Shogi (25 years of age or more)0.2605
Participants in Japanese tea ceremony (25 years of age or more)0.2549
Consumption Expenditure of Packed Lunch0.2492
Consumption Expenditure of Flavour Seasonings0.2491
Consumption Expenditure of ”Kabayaki”,Broiled Eels0.2471
Participants in Chorus and Vocal music (25 years of age or more)0.242
Consumption Expenditure of Jiao-zi0.2405
Participants in Go (25 years of age or more)0.2396
Consumption Expenditure of Dressing0.2392
Consumption Expenditure of Short-Necked Clams0.2372
Consumption Expenditure of Puddings0.2352
Concentration of Population0.2327
Highest temperature0.2291
Participants in Dressmaking (25 years of age or more)0.2282
Consumption Expenditure of 'Yokan', Sweet Bean Jelly0.2275
Saveon0.2273
Participants in Japanese calligraphy (25 years of age or more)0.2255
Number of Badminton Players (25 years of age or more)0.2188
Consumption Amount of Umbrella0.2149
Consumption Expenditure of Jam0.2127
Russian Residents in Japan0.2117
Convenience Stores0.2087
Thai Residents in Japan0.2009
Consumption Expenditure of Dried Laver0.1988
Motorcycles Registered0.1934
Consumption Expenditure of Welsh Onions0.1905
Consumption Expenditure of Pickled Vegetables0.1896
Number of Bowling Players (25 years of age or more)0.1852
Consumption Expenditure of Biscuits0.1846
Number of Basketball Players (25 years of age or more)0.1844
Consumption Expenditure of Cutlets0.1802
Family Mart0.1786
Consumption Expenditure of Chocolate0.1776
Patient with Cavity0.1742
Rate of Pediatricians0.1703
Nakau0.1638
Consumption Expenditure of Cucumbers0.1636
Video Arcades0.1604
Rate of Nuclear Families0.1578
National Achievement Test0.1562
Number of campers (25 years of age or more)0.1556
Consumption Expenditure of Green Tea0.1535
Consumption Expenditure of Cucumbers0.1522
Seven Eleven0.1463
0.1451
Consumption Expenditure of Oranges0.1445
South and North Korean Residents in Japan0.1438
Consumption Expenditure of Fried Bean Curd0.1435
Consumption Expenditure of Broccoli0.1432
Mos Burger0.1418
Attractiveness0.1408
Komeda Coffee0.1372
Consumption Expenditure of Milk0.1367
Average Life Expectancy: Female0.1355
Consumption of Beer0.1346
Consumption Expenditure of Flower0.1324
Consumption Expenditure of Croquettes0.1265
Consumption Expenditure of Taros0.1265
Rate of Obstetricians and Gynecologists0.1209
Consumption Expenditure of Jelly0.1186
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce0.1176
Consumption Expenditure of White Potatoes0.1132
Automobile Accidents0.1062
Kentucky Fried Chicken0.1058
Consumption Expenditure of Children's Underwear0.1017
Book Stores0.0978
Consumption Expenditure of “Yakitori”,Grilled Chickens0.0922
Consumption Expenditure of Fermented Lactic Beverages0.0906
Patients with Asthma0.0899
Participants in Child-Rearing Assistance Activities (25 years of age or more)0.0898
Patient with Fracture0.0872
Spectator Sport Watchers (25 years of age or more)0.087
Participants in Knitting and Handicraft (25 years of age or more)0.0865
Baseball ground0.0859
Lotteria0.0855
Number of Baseball Players (25 years of age or more)0.0844
Expenditure of Pocket Money (Household Heads)0.082
Number of Physicians0.0786
Consumption Expenditure of Medicines0.0769
Paved Rate0.0768
Participants in Community Safety Activities (25 years of age or more)0.0741
Consumption Expenditure of Radishes0.0715
Meal TIme0.069
Consumption Expenditure of Watermelons0.0676
Employed Persons in Tertiary Industry0.0672
Consumption Expenditure of String beans0.0659
Patients with Diabetes (aged 65 or above)0.0657
Practicing Physicians0.0642
Rate of Smoking: Female0.0642
Consumption Expenditure of Fried food0.0641
Consumption Expenditure of Hamburg Steak0.062
Consumption Expenditure of Carrots0.0612
Clinic0.0611
Consumption of Alcohol0.0586
Consumption Expenditure of 'Kasutera', Sponge Cakes0.0576
Death due to Lung Cancer: Female0.0549
Participants in Japanese flower arrangement (25 years of age or more)0.0545
Traffic-Related Death Rate - Bicyclist0.0493
Consumption Expenditure of Men's Underwear0.0438
Ministry of Health, Labour and Welfare0.0433
Suicide Victims: Female0.0412
Manufacturing Industries0.0379
Consumption Expenditure of Oysters0.0377
Consumption Expenditure of Leafy Vegetables0.0346
Patient with Fracture0.0332
Consumption Expenditure of 'Manju', Bean-jam Cakes0.0309
Consumption Expenditure of Candies0.0245
Consumption Expenditure of Crabs0.0227
Consumption Expenditure of Pickled Fish0.0223
Industrial Production0.0219
Curator0.0197
Consumption Expenditure of Pumpkins0.0104
Firing Range-0.0011
Consumption Expenditure of Root Vegetables-0.0013
Consumption Expenditure of Mandarin Oranges-0.0032
Consumption Expenditure of Octopus-0.0051
Consumption Expenditure of Bean curd-0.0072
Consumption Expenditure of ”Wakame”, seaweed-0.0078
Number of Children-0.0081
Rate of Artificial Forest Land-0.0087
Mean Elevation-0.0096
Consumption Expenditure of “Shimeji”, mushrooms-0.0118
Consumption Expenditure of Fruits-0.0122
Consumption Expenditure of Bananas-0.0156
Poplar-0.0157
Consumption Expenditure of Eggplants-0.0163
Wheat Production-0.0179
Patients with Major depressive disorder (aged 65 or above)-0.0189
Pharmacies-0.0195
Consumption Expenditure of Citrus Fruits-0.0203
Consumption of Sake-0.0211
Mister Donut-0.0248
Death due to Bowel Cancer: Female-0.0251
Consumption Expenditure of Frozen Food-0.0284
Employed Persons in Secondary Industry-0.0315
Consumption Expenditure of Fresh Water Clams-0.0343
Participants in Volunteer Work (25 years of age or more)-0.0352
Consumption Expenditure of Cabbage-0.0363
Consumption Expenditure of Spinach-0.0363
Consumption Expenditure of Fried & Salted Snack Crackers-0.0403
Game Parlors-0.0423
Participants in Japanese Dance (25 years of age or more)-0.0435
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried-0.0449
Daily Yamazaki-0.0456
Consumption Expenditure of Horse Mackerel-0.0512
Participants in Gardening (25 years of age or more)-0.0514
Consumption Expenditure of Bonito-0.0531
Consumption Expenditure of School Uniforms-0.0568
Consumption Expenditure of Chinese cabbage-0.0579
Consumption Expenditure of Sweet Potatoes-0.058
Male Physicians-0.0581
Seicomart-0.0626
Golf Course-0.0653
Electric Energy Consumption-0.0711
Consumption Expenditure of Yellowtail-0.0715
H1N1 Influenza-0.0736
Consumption Expenditure of Dried Tangle-0.0766
Consumption Expenditure of Tomato Ketchup-0.077
Patients with Major depressive disorder-0.0778
Number of Softball Players (25 years of age or more)-0.0817
Elementary School Students-0.082
Vacation Homes-0.0842
Engel's coefficient-0.0897
Consumption Expenditure of Worcester Sauce-0.0905
Dance Studio, Dance Hall-0.0911
Consumption Expenditure of Coffee-0.0914
Consumption of Shochu-0.0917
Patients with Cancer-0.094
Participants in Nature Conservation Activities (25 years of age or more)-0.0992
Participants in DIY (25 years of age or more)-0.0994
Consumption Expenditure of Shellfish-0.1003
Death due to Old Age: Male-0.1012
Consumption Expenditure of Mushrooms-0.1024
Rate of Empty Rental Houses-0.1051
Consumption Expenditure of Bean Sprouts-0.107
Consumption Expenditure of Salmon-0.1093
Skating Rink-0.1111
Annual Rate of Unemployment-0.112
Women's Housekeeping Time-0.1153
Number of Volleyball Players (25 years of age or more)-0.1182
Temples-0.1184
Death due to Stomach Cancer: Female-0.1191
Japanese Archery Range-0.1213
Death due to Bowel Cancer: Male-0.1239
Consumption Expenditure of Margarine-0.1248
Shintoists-0.1275
Consumption of Pork-0.128
Patients with Diabetes-0.1298
Rate of Intraregional Railway Passenger Transport-0.1305
Soybean Production-0.1342
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh-0.1343
Consumption Expenditure of Apples-0.1355
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings-0.1358
Number of Gateball Players (25 years of age or more)-0.1376
Shinto Shrines-0.1387
Death due to Liver Cancer: Female-0.1388
Consumption Expenditure of Onions-0.1401
Death due to Lung Cancer: Male-0.1401
Churches-0.142
Consumption Expenditure of “Enokitake”, mushrooms-0.1424
Rate of Empty Houses-0.1445
Consumption of Beef-0.1483
Consumption Expenditure of Carbonated Beverages-0.1488
Rate of Smoking: Male-0.1489
Households Living on Welfare-0.1501
Patients with Dyslipidemia-0.1521
Drowning Death Rate (Bath)-0.1533
Traffic-Related Death Rate - Motorcyclist-0.1539
Riding Ground-0.1567
Length of Coastline-0.1601
Patients with Cancer (aged 65 or above)-0.1606
Death due to Old Age: Female-0.1607
Consumption Expenditure of Saury-0.1637
Husband and Wife-0.1656
Participants in Community Development Activities (25 years of age or more)-0.1667
Consumption Expenditure of Sardines-0.1763
Amount of Greenhouse Gas Emission-0.1796
Athletic Field-0.1815
Theaters and Concert halls-0.1831
Death due to Liver Cancer: Male-0.1859
Traffic-Related Death Rate - Pedestrian-0.1888
Consumption Expenditure of Mackerel-0.1912
BMI Male-0.1941
Rate of Double-Income Households-0.2021
Ski Resort-0.2023
Croquet and Gateball Field-0.2032
Consumption Expenditure of Burdocks-0.2041
Consumption Expenditure of Instant Curry Mix-0.2056
Total Floor Space of Residential Buildings of one's own-0.2085
Monthly Cost of Water-0.2098
Camp Site-0.2107
Consumption Expenditure of Scallops-0.2167
Death due to Stomach Cancer: Male-0.217
Consumption Expenditure of Flounder-0.2178
Sumo Ring-0.2207
Beds for Long-Term Care-0.2243
Lowson-0.2266
Total Road Length-0.2284
Patients with Hypertension (aged 65 or above)-0.2301
Pachinko Players (25 years of age or more)-0.2323
Rice Production-0.2331
Consumption Expenditure of Soy Sauce-0.2332
Hospital-0.2337
Passenger Cars Registered-0.2343
Pachinko Parlors-0.2351
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings-0.2358
Tennis Court-0.2375
Consumption Expenditure of Soybean Paste-0.2388
Liquefied Petroleum Gas Consumption-0.2388
Consumption Expenditure of Vinegar-0.2415
BMI Female-0.244
Kendo Hall-0.2464
Consumption Expenditure of Cuttlefish-0.2544
Bowling Alley-0.255
Consumption of Chicken-0.262
Consumption Expenditure of Seafood-0.263
Death Due to Cancer : Female-0.2633
Patients with Cerebral Infarction (aged 65 or above)-0.2657
Gym-0.266
Kerosene Consumption-0.2683
Rest and Relaxation Ttime-0.2692
Drowning Death Rate (Except for Bath)-0.27
Traffic-Related Death Rate - All-0.2731
Rate of Forest Land-0.2734
Consumption Expenditure of Shrimps & Lobsters-0.2742
Bus and Taxi Registered-0.2742
Local Government Employees-0.2762
Beds for Mental Patients-0.277
Automobiles Registered-0.2791
Murder Victims-0.2794
Number of Anglers (25 years of age or more)-0.2856
Nurse-0.2862
Area of Forest Land-0.2886
Traffic-Related Death Rate - Driver-0.2892
Homeownership-0.2893
Consumption Expenditure of Other Raw Meat-0.2899
Rate of Shotgun Wedding-0.2907
Judo Hall-0.2908
Swimming Pool-0.2937
General Beds-0.2945
Consumption Expenditure of Edible Oil-0.2953
Area-0.3066
Consumption Expenditure of Salt-0.3089
Psychiatric Hospitals-0.3093
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning-0.3104
Total Length of Rivers-0.3151
Employed Persons in Primary Industry-0.3271
Suicide Victims: Male-0.3282
Sleeping Hours-0.3286
Rate of Single-parent Households-0.3386
Trucks Registered-0.3453
Elementary Schools-0.3484
Consumption Expenditure of Sugar-0.3617
School Personnel-0.3699
Death Due to Cancer : Male-0.3741
Fire Death Rate-0.3787
Total Floor Space of Residential Buildings of rental housing-0.3855
Senior Citizens-0.3937
Mass Media Viewing TIme-0.4078
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