Correlation with "Employed Persons in Primary Industry"

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StatsCorrelation
Coefficient
OrderAsc Desc
Area0.8009
Area of Forest Land0.7802
Total Road Length0.7798
Sleeping Hours0.7748
Total Length of Rivers0.7664
Trucks Registered0.7579
Pachinko Parlors0.7297
Athletic Field0.7162
School Personnel0.7158
Elementary Schools0.7153
Local Government Employees0.7125
Gym0.7116
Suicide Victims: Male0.6887
Nurse0.6699
Senior Citizens0.6664
Judo Hall0.6592
Rate of Double-Income Households0.6491
Beds for Mental Patients0.6452
General Beds0.6437
Drowning Death Rate (Except for Bath)0.6425
Rest and Relaxation Ttime0.6412
Fire Death Rate0.6297
Consumption Expenditure of Soybean Paste0.622
Kendo Hall0.6202
Total Floor Space of Residential Buildings of rental housing0.619
Traffic-Related Death Rate - Driver0.6117
Psychiatric Hospitals0.6086
Death Due to Cancer : Female0.6064
Automobiles Registered0.6051
Bus and Taxi Registered0.6038
Consumption of Shochu0.5905
Death Due to Cancer : Male0.5715
Tennis Court0.5554
Traffic-Related Death Rate - Pedestrian0.5504
Homeownership0.5503
Number of Volleyball Players (25 years of age or more)0.5496
Traffic-Related Death Rate - All0.5466
Pachinko Players (25 years of age or more)0.5446
Rate of Forest Land0.5409
Theaters and Concert halls0.5391
Hospital0.5388
Swimming Pool0.5363
Camp Site0.535
Kerosene Consumption0.5205
Rate of Shotgun Wedding0.5116
Japanese Archery Range0.508
Sumo Ring0.5075
Passenger Cars Registered0.5062
Consumption Expenditure of Sugar0.5007
Consumption of Alcohol0.4967
Baseball ground0.4902
Ski Resort0.4485
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning0.4326
Rate of Intraregional Railway Passenger Transport0.419
Mass Media Viewing TIme0.4178
Rate of Single-parent Households0.4168
Liquefied Petroleum Gas Consumption0.4111
Croquet and Gateball Field0.4076
Total Floor Space of Residential Buildings of one's own0.4036
Patients with Cerebral Infarction (aged 65 or above)0.3977
Consumption Expenditure of Vinegar0.3962
Total Floor Space of Residential Buildings of one's own0.3938
Lowson0.3869
Consumption Expenditure of Salt0.3845
Skating Rink0.3837
Length of Coastline0.3816
Consumption Expenditure of Seafood0.3794
Death due to Old Age: Male0.3776
Consumption Expenditure of Soy Sauce0.3766
Rate of Empty Houses0.3752
Death due to Old Age: Female0.3716
Participants in Community Development Activities (25 years of age or more)0.3678
Consumption Expenditure of Cuttlefish0.3646
Shinto Shrines0.3643
Number of Gateball Players (25 years of age or more)0.3579
Beds for Long-Term Care0.3543
Homeownership0.3419
Number of Anglers (25 years of age or more)0.3415
Patients with Asthma0.3363
Patients with Cancer (aged 65 or above)0.3309
Consumption Expenditure of Other Raw Meat0.3282
Consumption Expenditure of Mackerel0.3249
Consumption Expenditure of Edible Oil0.3246
Consumption Expenditure of Apples0.307
BMI Female0.3038
Participants in Japanese Dance (25 years of age or more)0.3025
Consumption Expenditure of Burdocks0.2864
Consumption Expenditure of Instant Curry Mix0.2862
Consumption Expenditure of Scallops0.2858
Bowling Alley0.2794
Consumption Expenditure of Bean Sprouts0.2787
Consumption Expenditure of “Enokitake”, mushrooms0.2778
Patients with Hypertension (aged 65 or above)0.2748
Consumption Expenditure of Sardines0.2733
Participants in Nature Conservation Activities (25 years of age or more)0.2731
Consumption Expenditure of Fresh Water Clams0.2726
Consumption Expenditure of Flounder0.2726
BMI Male0.271
Electric Energy Consumption0.2685
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings0.2655
Consumption Expenditure of Dried Tangle0.2629
Consumption Expenditure of Fried & Salted Snack Crackers0.2578
Rice Production0.2555
Consumption Expenditure of Shellfish0.2522
Participants in Volunteer Work (25 years of age or more)0.2492
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh0.2488
Monthly Cost of Water0.2481
Seicomart0.2364
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings0.2358
Golf Course0.2308
Patients with Diabetes0.2167
Consumption Expenditure of Citrus Fruits0.2166
Consumption Expenditure of Horse Mackerel0.2089
Participants in DIY (25 years of age or more)0.2074
Shintoists0.2064
Consumption Expenditure of School Uniforms0.206
Consumption Expenditure of Saury0.2051
Patients with Dyslipidemia0.1833
Consumption Expenditure of Mushrooms0.1806
Male Physicians0.1775
Mean Elevation0.1766
Drowning Death Rate (Bath)0.1752
Rate of Smoking: Male0.1741
Wheat Production0.1707
Soybean Production0.1706
Consumption Expenditure of Fruits0.169
Consumption Expenditure of ”Wakame”, seaweed0.1636
Suicide Victims: Female0.1604
Consumption Expenditure of Bonito0.1551
Participants in Gardening (25 years of age or more)0.1545
Consumption Expenditure of Mandarin Oranges0.148
Pharmacies0.1461
Consumption of Sake0.1408
Consumption Expenditure of Carbonated Beverages0.1371
Consumption Expenditure of Yellowtail0.1366
Consumption Expenditure of Salmon0.1338
Consumption Expenditure of 'Manju', Bean-jam Cakes0.1338
Consumption Expenditure of Sweet Potatoes0.1334
Churches0.1318
Consumption Expenditure of Fermented Lactic Beverages0.117
Consumption Expenditure of Pickled Fish0.1064
H1N1 Influenza0.1005
Convenience Stores0.0982
Consumption of Chicken0.0969
Participants in Community Safety Activities (25 years of age or more)0.096
Consumption Expenditure of Crabs0.0949
Patient with Fracture0.0941
Patients with Cancer0.0937
Firing Range0.0913
Death due to Liver Cancer: Male0.0784
Number of Softball Players (25 years of age or more)0.0779
Mos Burger0.0765
Husband and Wife0.0716
Fish Catches0.0714
Consumption of Beer0.0668
Consumption Expenditure of Cabbage0.056
Death due to Stomach Cancer: Male0.0539
Consumption Expenditure of Cucumbers0.0512
Book Stores0.0507
Vacation Homes0.0389
Consumption Expenditure of Frozen Food0.0377
Ministry of Health, Labour and Welfare0.0351
Temples0.0323
Number of Physicians0.0301
Practicing Physicians0.022
Consumption Expenditure of Fried food0.0198
Manufacturing Industries0.0175
Saveon0.0139
Consumption of Pork0.0093
Consumption Expenditure of Jelly0.0089
Curator0.0042
Rate of Smoking: Female0.0035
Death due to Liver Cancer: Female-0.0005
Consumption Expenditure of Children's Underwear-0.0008
Amount of Greenhouse Gas Emission-0.0011
Dance Studio, Dance Hall-0.0036
Game Parlors-0.006
Riding Ground-0.0078
Employed Persons in Secondary Industry-0.0096
Patient with Fracture-0.0104
Patients with Major depressive disorder-0.0111
Consumption Expenditure of Candies-0.0137
Death due to Bowel Cancer: Male-0.0143
Death due to Lung Cancer: Male-0.0144
Consumption Expenditure of Bean curd-0.0147
Rate of Empty Rental Houses-0.0234
Consumption Expenditure of Flower-0.0237
Consumption Expenditure of “Yakitori”,Grilled Chickens-0.0239
Consumption Expenditure of Medicines-0.026
National Achievement Test-0.0306
Traffic-Related Death Rate - Bicyclist-0.0333
Households Living on Welfare-0.037
Rate of Artificial Forest Land-0.0388
Consumption Expenditure of Shrimps & Lobsters-0.044
Mister Donut-0.0523
Consumption Expenditure of Watermelons-0.0579
Clinic-0.0582
Patients with Major depressive disorder (aged 65 or above)-0.0589
Participants in Child-Rearing Assistance Activities (25 years of age or more)-0.061
Consumption Expenditure of 'Kasutera', Sponge Cakes-0.0673
Poplar-0.0735
Consumption Expenditure of Carrots-0.0786
Expenditure of Pocket Money (Household Heads)-0.09
Consumption Expenditure of Chocolate-0.0918
Consumption Expenditure of Dressing-0.0921
Family Mart-0.0921
Consumption Expenditure of Taros-0.0927
Average Life Expectancy: Female-0.0983
Consumption Expenditure of Pumpkins-0.1
Employed Persons in Tertiary Industry-0.1
Murder Victims-0.1038
Consumption Expenditure of String beans-0.1057
Consumption Expenditure of Spinach-0.1086
Buddhists-0.111
Consumption Expenditure of Packed Lunch-0.1148
Consumption Expenditure of Hamburg Steak-0.1151
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried-0.1162
Daily Yamazaki-0.1168
Automobile Accidents-0.123
Elementary School Students-0.1248
Consumption of Whisky-0.138
Number of Ski & Snowboard Players (25 years of age or more)-0.1381
Consumption Expenditure of Biscuits-0.1418
Consumption Expenditure of 'Yokan', Sweet Bean Jelly-0.1451
Consumption Expenditure of Tomatoes-0.1465
Patients with Diabetes (aged 65 or above)-0.1465
Internet cafe-0.1466
Consumption Expenditure of Onions-0.149
Seven Eleven-0.1505
Consumption Expenditure of Radishes-0.1531
Rate of Obstetricians and Gynecologists-0.1543
Consumption Expenditure of Eggplants-0.159
Russian Residents in Japan-0.1608
Death due to Stomach Cancer: Female-0.1674
Number of Children-0.1679
Death due to Bowel Cancer: Female-0.1724
Consumption Expenditure of Short-Necked Clams-0.1738
People Living Alone-0.1751
Consumption Expenditure of Leafy Vegetables-0.1771
Consumption Expenditure of Coffee-0.1795
Brazilian Residents in Japan-0.1832
Motorcycles Registered-0.1877
Consumption Expenditure of “Shimeji”, mushrooms-0.1883
Consumption Expenditure of Cutlets-0.1897
Kentucky Fried Chicken-0.1906
Consumption Expenditure of Green Tea-0.1906
Pediatricians-0.1984
Obstetricians and Gynecologists-0.2013
Meal TIme-0.2021
Washing Charges-0.2062
Number of Basketball Players (25 years of age or more)-0.2085
Video Arcades-0.2086
Consumption Expenditure of Welsh Onions-0.2088
Consumption Amount of Umbrella-0.2114
Annual Rate of Unemployment-0.2115
Consumption Expenditure of Root Vegetables-0.2127
Industrial Production-0.2135
Consumption Expenditure of Chinese cabbage-0.214
Attractiveness-0.2191
Indonesian Residents in Japan-0.2221
Paved Rate-0.2227
Consumption Expenditure of Dried Laver-0.2259
Consumption Expenditure of Jiao-zi-0.2305
Number of Baseball Players (25 years of age or more)-0.2315
Death due to Lung Cancer: Female-0.2362
Consumption Expenditure of Puddings-0.238
Traffic-Related Death Rate - Motorcyclist-0.2381
Consumption Expenditure of Bananas-0.2421
Consumption Expenditure of Fried Bean Curd-0.2426
Participants in Go (25 years of age or more)-0.2454
Participants in Japanese tea ceremony (25 years of age or more)-0.2504
Consumption Expenditure of 'Senbei', Japanese Crackers-0.2556
Consumption Expenditure of Cakes-0.2829
Christians-0.2832
Consumption Expenditure of Men's Underwear-0.2893
Thai Residents in Japan-0.2902
Consumption Expenditure of Broccoli-0.291
Consumption of Wine-0.2957
Komeda Coffee-0.2976
Consumption Expenditure of Oranges-0.2981
Consumption Expenditure of Strawberries-0.2993
Job Offer Retractions-0.3007
Peruvian Residents in Japan-0.3039
Rate of Pediatricians-0.3058
Consumption Expenditure of Mineral Water-0.3087
Consumption Expenditure of Pickled Vegetables-0.3108
Participants in Knitting and Handicraft (25 years of age or more)-0.3123
Number of Badminton Players (25 years of age or more)-0.3131
Dentists-0.3139
Lotteria-0.3163
Women's Housekeeping Time-0.3168
Consumption Expenditure of Tomato Ketchup-0.3174
Gross Production-0.3213
Consumption of Beef-0.3215
Consumption Expenditure of Worcester Sauce-0.3227
Participants in Japanese flower arrangement (25 years of age or more)-0.3228
Consumption Expenditure of Croquettes-0.3255
Burmese Residents in Japan-0.3271
Consumption Expenditure of Children's dresses-0.3293
Spinach Production-0.3312
Consumption Expenditure of Onigiri-0.3362
Engel's coefficient-0.3376
Sukiya-0.338
Consumption Expenditure of Oysters-0.3428
Philippine Residents in Japan-0.3455
Female Physicians-0.3482
Patient with Cavity-0.3483
Sri Lankan Residents in Japan-0.3493
Highest temperature-0.3505
Participants in Playing Japanese music (25 years of age or more)-0.352
Consumption Expenditure of Cakes & Candies-0.3579
Rate of Nuclear Families-0.3589
Consumption Expenditure of Milk-0.363
Number of campers (25 years of age or more)-0.3637
Consumption Expenditure of Octopus-0.3689
Consumption Expenditure of Accessories-0.3699
Consumption Expenditure of Flavour Seasonings-0.3709
Consumption Expenditure of White Potatoes-0.3715
Ministop-0.3822
American Residents in Japan-0.3846
Consumption Expenditure of Margarine-0.3884
English Residents in Japan-0.3903
Spectator Sport Watchers (25 years of age or more)-0.3922
Attorney-0.3958
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce-0.3991
Consumption Expenditure of Instant Dried Soup-0.4005
Salary of Prefectural Governors-0.4144
Participants in Dressmaking (25 years of age or more)-0.4203
Certified Public Accountant-0.4294
Consumption Expenditure of Ready-to-eat Food-0.4294
Average Life Expectancy: Male-0.4299
Fitness Clubs-0.4306
Consumption Expenditure of Cucumbers-0.4307
French Residents in Japan-0.4364
Domestic Tourists (Overnight stay)(25 years of age or more)-0.4377
Dental Clinics-0.4392
-0.4398
Trademark Registrations-0.4428
Consumption Expenditure of Lettuce-0.443
Utility Model Registrations-0.4485
Consumption Expenditure of Salad-0.4497
Vietnamese Residents in Japan-0.4513
Doutor Coffee-0.454
Number of Bowling Players (25 years of age or more)-0.4546
AIDS Patients-0.4565
Mean Age at First Marriage (Female)-0.4608
Consumption Expenditure of Cheese-0.4699
Online Game Penetration-0.4705
Participants in Dance (25 years of age or more)-0.4716
Nakau-0.4756
Consumption Expenditure of Handbags-0.4764
Patent Attorneys-0.4782
Labor and Social Security Attorney-0.48
Online Video Penetration-0.4803
Italian Residents in Japan-0.4813
Participants in Cooking and Sweets Cooking (25 years of age or more)-0.4841
Number of Table Tennis Players (25 years of age or more)-0.4856
Consumption Expenditure of Women's Underwear-0.4864
Participants in Crafts and Ceramics (25 years of age or more)-0.4873
Consumption Expenditure of ”Kabayaki”,Broiled Eels-0.4887
Patent Registrations-0.4892
Japanese and Foreign HIV Carriers-0.4928
German Residents in Japan-0.4966
Consumption Expenditure of Medical Services-0.4987
Consumption Expenditure of Clothing & Footwear-0.499
Number of Joggers (25 years of age or more)-0.4993
Licensed Architect (1st grade)-0.5034
Indian Residents in Japan-0.506
Mean Age at First Marriage (Male)-0.5077
Japanese HIV Carriers-0.5128
Design Registrations-0.5181
Average Commercial Land Price-0.5183
Consumption Expenditure of Men's clothing-0.5186
Working Hours-0.5213
Number of people who went back to their hometown (25 years of age or more)-0.5251
Number of Golfers (25 years of age or more)-0.5269
Waka, Haiku, Poetry and Novel Composers (25 years of age or more)-0.5297
Consumption Expenditure of Butter-0.5321
Average Industrial Land Price-0.533
Consumption Expenditure of Women's clothing-0.5346
Prefectural Income-0.535
Nepali Residents in Japan-0.535
Number of Tennis Players (25 years of age or more)-0.5374
Private High School Fee for 1st Year-0.5436
Average time spent on Volunteer and social activities-0.5518
Mean Age of Mother at 1st Child Birth-0.5545
Population Density-0.5561
Participants in Chorus and Vocal music (25 years of age or more)-0.5601
Consumption Expenditure of Shao-mais-0.569
Population-0.5694
Population Ratio-0.5695
Rate of Female Physicians-0.5706
Participants in Shogi (25 years of age or more)-0.5712
Taiwanese Residents in Japan-0.5714
Railway Passenger Transport-0.5756
Participants in Karaoke (25 years of age or more)-0.5859
Natural Gas Consumption-0.5859
Mean Age of Father at 1st Child Birth-0.5878
Participants in Classical Music Concert (25 years of age or more)-0.5881
Consumption Expenditure of Black Tea-0.5889
Number of Soccer Players (25 years of age or more)-0.5908
Consumption Expenditure of Jam-0.5961
Average Residential Land Price-0.5981
Number of Hikers (25 years of age or more)-0.6047
Educational Expenses-0.6053
Domestic Tourists (Overnight stay)(25 years of age or more)-0.6076
Starbucks-0.6082
Participants in Japanese calligraphy (25 years of age or more)-0.609
South and North Korean Residents in Japan-0.6117
Facebook User-0.6147
Number of Cyclists (25 years of age or more)-0.6196
Concentration of Population-0.6274
Mobile Phone Subscriptions-0.6401
Chinese Residents in Japan-0.6417
Video Game Players (25 years of age or more)-0.6435
Participants in Playing Instrumentst (25 years of age or more)-0.6477
Participants in Homemaking Training (25 years of age or more)-0.6488
Matsuya-0.6492
Delivery Cost-0.6521
Savings per Household-0.6599
Participants in Drawing Pictures and Sculpturing (25 years of age or more)-0.6605
Participants in Concert (25 years of age or more)-0.6662
Number of Sports Players (25 years of age or more)-0.6664
Foreign Residents in Japan-0.6714
Online Shopping Penetration-0.6841
Amateur Photographers (25 years of age or more)-0.6871
Yoshinoya-0.6928
Real Estate Notary-0.6934
Theatergoers (25 years of age or more)-0.6936
Minimum Wage-0.6974
Participants in Arts and Culture Studies (25 years of age or more)-0.6991
Book Readers (25 years of age or more)-0.7002
Broadband Contracts-0.7006
SNS Penetration-0.7017
Number of Swimmers (25 years of age or more)-0.7223
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more)-0.7244
Monthly Rent-0.7299
Gyudon (Beef bowl) Stores-0.73
English language learners (25 years of age or more)-0.7513
Outbound Tourists (25 years of age or more)-0.7621
Valid Passports-0.7803
Smartphone Penetration-0.8003
Cellphone Penetration-0.8069
Moviegoers (25 years of age or more)-0.8325
Internet Penetration-0.8517
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