Stats | Correlation Coefficient |
Order | Asc Desc |
Consumption Expenditure of Men's clothing | 0.7628 |
Amateur Photographers (25 years of age or more) | 0.7251 |
Consumption Expenditure of Clothing & Footwear | 0.7057 |
Number of people who went back to their hometown (25 years of age or more) | 0.6967 |
Number of Sports Players (25 years of age or more) | 0.6859 |
Real Estate Notary | 0.6816 |
Educational Expenses | 0.6611 |
Smartphone Penetration | 0.6398 |
Internet Penetration | 0.6395 |
Book Readers (25 years of age or more) | 0.6326 |
Cellphone Penetration | 0.6241 |
Monthly Rent | 0.6226 |
Domestic Tourists (Overnight stay)(25 years of age or more) | 0.6192 |
Chinese Residents in Japan | 0.618 |
Participants in Drawing Pictures and Sculpturing (25 years of age or more) | 0.6174 |
English language learners (25 years of age or more) | 0.6161 |
Video Game Players (25 years of age or more) | 0.6153 |
Number of Swimmers (25 years of age or more) | 0.6125 |
Number of Tennis Players (25 years of age or more) | 0.6097 |
Theatergoers (25 years of age or more) | 0.6048 |
Consumption Expenditure of Women's clothing | 0.6045 |
Number of Cyclists (25 years of age or more) | 0.6018 |
Outbound Tourists (25 years of age or more) | 0.5979 |
Online Shopping Penetration | 0.5925 |
Participants in Concert (25 years of age or more) | 0.5899 |
Participants in Arts and Culture Studies (25 years of age or more) | 0.5886 |
Online Video Penetration | 0.5868 |
Population Ratio | 0.5848 |
Population | 0.5847 |
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more) | 0.5843 |
Moviegoers (25 years of age or more) | 0.5829 |
Concentration of Population | 0.5763 |
Number of Soccer Players (25 years of age or more) | 0.5736 |
Consumption Expenditure of Cucumbers | 0.5727 |
Participants in Playing Instrumentst (25 years of age or more) | 0.563 |
SNS Penetration | 0.5626 |
Consumption Expenditure of Butter | 0.555 |
Minimum Wage | 0.5524 |
Participants in Classical Music Concert (25 years of age or more) | 0.5507 |
Number of Joggers (25 years of age or more) | 0.544 |
Consumption Expenditure of Women's Underwear | 0.5436 |
Broadband Contracts | 0.5413 |
Consumption Expenditure of Black Tea | 0.5368 |
Mobile Phone Subscriptions | 0.5351 |
Railway Passenger Transport | 0.5349 |
Matsuya | 0.5299 |
Average Residential Land Price | 0.5294 |
Mean Age of Mother at 1st Child Birth | 0.529 |
Spinach Production | 0.5234 |
Participants in Shogi (25 years of age or more) | 0.5209 |
Mean Age of Father at 1st Child Birth | 0.5162 |
Participants in Cooking and Sweets Cooking (25 years of age or more) | 0.5066 |
Waka, Haiku, Poetry and Novel Composers (25 years of age or more) | 0.5031 |
Natural Gas Consumption | 0.5001 |
Participants in Homemaking Training (25 years of age or more) | 0.4995 |
Mean Age at First Marriage (Female) | 0.4989 |
Number of Table Tennis Players (25 years of age or more) | 0.4956 |
Consumption Expenditure of Medical Services | 0.4886 |
Rate of Female Physicians | 0.4817 |
Valid Passports | 0.4805 |
Licensed Architect (1st grade) | 0.479 |
German Residents in Japan | 0.4747 |
French Residents in Japan | 0.4713 |
Average Life Expectancy: Male | 0.4698 |
Average Commercial Land Price | 0.4682 |
Rate of Nuclear Families | 0.4668 |
Participants in Crafts and Ceramics (25 years of age or more) | 0.4655 |
Washing Charges | 0.4613 |
Savings per Household | 0.4607 |
Italian Residents in Japan | 0.46 |
Working Hours | 0.4596 |
English Residents in Japan | 0.4578 |
Consumption Expenditure of White Potatoes | 0.4575 |
Average Industrial Land Price | 0.4574 |
Facebook User | 0.455 |
Participants in Chorus and Vocal music (25 years of age or more) | 0.4544 |
Consumption Expenditure of Cheese | 0.4525 |
Consumption Expenditure of Lettuce | 0.4517 |
Participants in Japanese calligraphy (25 years of age or more) | 0.4486 |
Salary of Prefectural Governors | 0.4474 |
Foreign Residents in Japan | 0.4427 |
Consumption Expenditure of Shao-mais | 0.4394 |
Mean Age at First Marriage (Male) | 0.4372 |
Population Density | 0.4324 |
Spectator Sport Watchers (25 years of age or more) | 0.4287 |
Number of Golfers (25 years of age or more) | 0.4285 |
Participants in Karaoke (25 years of age or more) | 0.4268 |
Consumption Expenditure of Children's dresses | 0.4238 |
Consumption Expenditure of Mineral Water | 0.4237 |
Taiwanese Residents in Japan | 0.4203 |
Consumption Expenditure of Short-Necked Clams | 0.4185 |
Gyudon (Beef bowl) Stores | 0.4168 |
Certified Public Accountant | 0.4086 |
Doutor Coffee | 0.4072 |
Consumption Expenditure of Accessories | 0.4066 |
Participants in Dressmaking (25 years of age or more) | 0.4065 |
Nepali Residents in Japan | 0.4063 |
Patent Registrations | 0.4055 |
Dental Clinics | 0.4053 |
Number of Hikers (25 years of age or more) | 0.4008 |
Prefectural Income | 0.397 |
Number of campers (25 years of age or more) | 0.3955 |
Consumption Expenditure of ”Kabayaki”,Broiled Eels | 0.3952 |
Indian Residents in Japan | 0.3952 |
Labor and Social Security Attorney | 0.3933 |
Delivery Cost | 0.3924 |
Consumption Expenditure of Pumpkins | 0.3883 |
Patent Attorneys | 0.388 |
Consumption Expenditure of Jam | 0.3879 |
Online Game Penetration | 0.3878 |
Consumption Expenditure of Dried Laver | 0.3841 |
Consumption Expenditure of 'Yokan', Sweet Bean Jelly | 0.3825 |
People Living Alone | 0.3789 |
Dentists | 0.3783 |
Consumption Expenditure of Men's Underwear | 0.3783 |
Consumption Expenditure of Root Vegetables | 0.3779 |
Average time spent on Volunteer and social activities | 0.3766 |
Expenditure of Pocket Money (Household Heads) | 0.3748 |
Consumption Amount of Umbrella | 0.3727 |
Consumption Expenditure of Flavour Seasonings | 0.3705 |
Participants in Dance (25 years of age or more) | 0.3669 |
Japanese HIV Carriers | 0.3651 |
Consumption Expenditure of Cakes | 0.3638 |
Lotteria | 0.3588 |
Domestic Tourists (Overnight stay)(25 years of age or more) | 0.3528 |
Consumption Expenditure of Watermelons | 0.3521 |
| 0.3506 |
Trademark Registrations | 0.3476 |
Fitness Clubs | 0.3474 |
Consumption Expenditure of Onions | 0.3472 |
Attorney | 0.347 |
Consumption Expenditure of Cakes & Candies | 0.3394 |
Consumption Expenditure of Taros | 0.3385 |
Private High School Fee for 1st Year | 0.3375 |
Starbucks | 0.3338 |
Utility Model Registrations | 0.3336 |
Burmese Residents in Japan | 0.3322 |
Attractiveness | 0.3286 |
Vietnamese Residents in Japan | 0.3277 |
Sri Lankan Residents in Japan | 0.3267 |
Consumption Expenditure of Green Tea | 0.3239 |
Consumption Expenditure of Instant Dried Soup | 0.3229 |
Consumption Expenditure of Tomatoes | 0.3222 |
Consumption Expenditure of Milk | 0.3218 |
Japanese and Foreign HIV Carriers | 0.321 |
Consumption Expenditure of Pickled Vegetables | 0.321 |
Number of Bowling Players (25 years of age or more) | 0.3158 |
Participants in Knitting and Handicraft (25 years of age or more) | 0.3134 |
South and North Korean Residents in Japan | 0.3088 |
Consumption Expenditure of Welsh Onions | 0.3078 |
Yoshinoya | 0.2991 |
Consumption Expenditure of Chinese cabbage | 0.2967 |
AIDS Patients | 0.2925 |
Seven Eleven | 0.2918 |
Consumption Expenditure of Broccoli | 0.2907 |
Female Physicians | 0.2876 |
Patients with Major depressive disorder (aged 65 or above) | 0.2867 |
Consumption Expenditure of Eggplants | 0.2799 |
Death due to Lung Cancer: Female | 0.2757 |
Consumption Expenditure of Tomato Ketchup | 0.2742 |
Consumption Expenditure of Sweet Potatoes | 0.2717 |
Consumption Expenditure of Leafy Vegetables | 0.2701 |
Patients with Diabetes (aged 65 or above) | 0.2698 |
Design Registrations | 0.2652 |
Consumption Expenditure of Cabbage | 0.2588 |
Ministop | 0.2581 |
Christians | 0.2557 |
Job Offer Retractions | 0.2554 |
Nakau | 0.2541 |
Kentucky Fried Chicken | 0.2526 |
Internet cafe | 0.2469 |
Consumption Expenditure of Strawberries | 0.2447 |
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce | 0.2416 |
Russian Residents in Japan | 0.2356 |
Consumption of Wine | 0.2331 |
Employed Persons in Tertiary Industry | 0.2262 |
Consumption Expenditure of Candies | 0.2225 |
Number of Badminton Players (25 years of age or more) | 0.2114 |
Philippine Residents in Japan | 0.2094 |
Patient with Fracture | 0.2077 |
Consumption Expenditure of Jelly | 0.2071 |
Consumption Expenditure of Cucumbers | 0.205 |
Consumption Expenditure of Salad | 0.2012 |
Consumption Expenditure of Children's Underwear | 0.1998 |
Consumption Expenditure of Jiao-zi | 0.1991 |
Consumption Expenditure of Dressing | 0.1927 |
Consumption Expenditure of Octopus | 0.1901 |
Consumption of Beef | 0.1895 |
Consumption Expenditure of Chocolate | 0.1893 |
Rate of Artificial Forest Land | 0.18 |
Gross Production | 0.1753 |
Consumption Expenditure of Radishes | 0.1749 |
Meal TIme | 0.17 |
Consumption of Chicken | 0.1692 |
Indonesian Residents in Japan | 0.1664 |
American Residents in Japan | 0.1616 |
Consumption Expenditure of Oranges | 0.1615 |
Highest temperature | 0.1603 |
Rate of Smoking: Female | 0.1564 |
Patient with Fracture | 0.1555 |
Consumption Expenditure of Oysters | 0.1548 |
Consumption Expenditure of Fried Bean Curd | 0.1541 |
Automobile Accidents | 0.1525 |
Thai Residents in Japan | 0.1524 |
Patient with Cavity | 0.1516 |
Buddhists | 0.1512 |
Participants in Go (25 years of age or more) | 0.1494 |
Consumption Expenditure of Biscuits | 0.1489 |
Participants in Japanese tea ceremony (25 years of age or more) | 0.147 |
Consumption Expenditure of Packed Lunch | 0.1458 |
Consumption Expenditure of 'Senbei', Japanese Crackers | 0.1441 |
Participants in Playing Japanese music (25 years of age or more) | 0.144 |
National Achievement Test | 0.1417 |
Patients with Major depressive disorder | 0.1416 |
Wheat Production | 0.1402 |
Consumption Expenditure of Coffee | 0.1346 |
Komeda Coffee | 0.1308 |
Consumption Expenditure of Medicines | 0.129 |
Consumption Expenditure of Onigiri | 0.1264 |
Consumption of Whisky | 0.1233 |
Annual Rate of Unemployment | 0.1221 |
Number of Basketball Players (25 years of age or more) | 0.1178 |
Consumption Expenditure of Frozen Food | 0.1151 |
Number of Baseball Players (25 years of age or more) | 0.1145 |
Consumption Expenditure of Puddings | 0.1084 |
Consumption Expenditure of Citrus Fruits | 0.1054 |
Average Life Expectancy: Female | 0.1046 |
Consumption Expenditure of Ready-to-eat Food | 0.1038 |
Number of Ski & Snowboard Players (25 years of age or more) | 0.0921 |
Soybean Production | 0.0906 |
Fish Catches | 0.0902 |
Daily Yamazaki | 0.0895 |
Consumption Expenditure of Mandarin Oranges | 0.0878 |
Seicomart | 0.0793 |
Death due to Liver Cancer: Female | 0.0719 |
Women's Housekeeping Time | 0.0689 |
Paved Rate | 0.0558 |
Participants in Japanese flower arrangement (25 years of age or more) | 0.0528 |
Households Living on Welfare | 0.0486 |
Death due to Bowel Cancer: Female | 0.0475 |
Peruvian Residents in Japan | 0.044 |
Sukiya | 0.0436 |
Consumption Expenditure of 'Kasutera', Sponge Cakes | 0.0423 |
Poplar | 0.0411 |
Consumption of Pork | 0.0409 |
Consumption Expenditure of Worcester Sauce | 0.038 |
Traffic-Related Death Rate - Motorcyclist | 0.0328 |
Consumption Expenditure of Bananas | 0.0325 |
Consumption Expenditure of Margarine | 0.03 |
Consumption Expenditure of String beans | 0.0271 |
Rate of Pediatricians | 0.0266 |
Consumption Expenditure of Horse Mackerel | 0.0182 |
Participants in Child-Rearing Assistance Activities (25 years of age or more) | 0.0165 |
Ministry of Health, Labour and Welfare | 0.0147 |
Consumption Expenditure of Burdocks | 0.0084 |
Number of Softball Players (25 years of age or more) | 0.0012 |
Consumption Expenditure of Spinach | 0.0008 |
Industrial Production | -0.002 |
Practicing Physicians | -0.004 |
Number of Physicians | -0.0042 |
Motorcycles Registered | -0.0055 |
Elementary School Students | -0.0073 |
Number of Children | -0.009 |
Participants in Gardening (25 years of age or more) | -0.0109 |
Convenience Stores | -0.0114 |
Consumption Expenditure of School Uniforms | -0.0117 |
Death due to Liver Cancer: Male | -0.0199 |
Pediatricians | -0.0232 |
Consumption Expenditure of Flower | -0.0261 |
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh | -0.0265 |
Suicide Victims: Female | -0.0343 |
Consumption Expenditure of “Yakitori”,Grilled Chickens | -0.0361 |
Engel's coefficient | -0.0373 |
Consumption Expenditure of Carrots | -0.04 |
Amount of Greenhouse Gas Emission | -0.0401 |
Traffic-Related Death Rate - Bicyclist | -0.0407 |
Consumption Expenditure of Pickled Fish | -0.0417 |
Riding Ground | -0.0447 |
Consumption Expenditure of Shrimps & Lobsters | -0.0505 |
Brazilian Residents in Japan | -0.0519 |
H1N1 Influenza | -0.0563 |
Consumption Expenditure of “Shimeji”, mushrooms | -0.0572 |
Dance Studio, Dance Hall | -0.0603 |
Consumption Expenditure of Cutlets | -0.0634 |
Consumption Expenditure of Vinegar | -0.0681 |
Murder Victims | -0.0726 |
Pharmacies | -0.0745 |
Consumption Expenditure of Yellowtail | -0.0762 |
Participants in Community Safety Activities (25 years of age or more) | -0.0781 |
Patients with Diabetes | -0.0784 |
Consumption Expenditure of 'Manju', Bean-jam Cakes | -0.0819 |
Consumption Expenditure of Other Raw Meat | -0.0841 |
Video Arcades | -0.088 |
Obstetricians and Gynecologists | -0.0906 |
Death due to Lung Cancer: Male | -0.099 |
Clinic | -0.0996 |
Consumption Expenditure of Fruits | -0.1004 |
Mos Burger | -0.1019 |
Monthly Cost of Water | -0.1021 |
Participants in Nature Conservation Activities (25 years of age or more) | -0.1036 |
Consumption Expenditure of Croquettes | -0.1046 |
Death due to Stomach Cancer: Female | -0.1062 |
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings | -0.1094 |
BMI Male | -0.1117 |
Consumption Expenditure of Carbonated Beverages | -0.1156 |
Husband and Wife | -0.1162 |
Consumption of Shochu | -0.1176 |
Male Physicians | -0.1191 |
Number of Gateball Players (25 years of age or more) | -0.127 |
Skating Rink | -0.1276 |
Beds for Long-Term Care | -0.1286 |
Japanese Archery Range | -0.1298 |
Participants in DIY (25 years of age or more) | -0.1308 |
Consumption Expenditure of Salmon | -0.1312 |
Patients with Asthma | -0.1326 |
Consumption Expenditure of Fermented Lactic Beverages | -0.133 |
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried | -0.1336 |
Hospital | -0.1345 |
Family Mart | -0.1355 |
Participants in Volunteer Work (25 years of age or more) | -0.1407 |
Firing Range | -0.1447 |
Rate of Obstetricians and Gynecologists | -0.1452 |
Psychiatric Hospitals | -0.1511 |
Saveon | -0.1549 |
Mister Donut | -0.1597 |
Rate of Smoking: Male | -0.1601 |
Consumption Expenditure of Hamburg Steak | -0.161 |
Consumption Expenditure of Sardines | -0.1611 |
Consumption of Beer | -0.1618 |
Consumption Expenditure of Mushrooms | -0.1628 |
Rice Production | -0.1634 |
Pachinko Players (25 years of age or more) | -0.1654 |
Consumption Expenditure of Bean curd | -0.1711 |
Consumption Expenditure of Soy Sauce | -0.1716 |
Employed Persons in Secondary Industry | -0.1749 |
Consumption Expenditure of Bonito | -0.1789 |
Consumption Expenditure of “Enokitake”, mushrooms | -0.1832 |
Vacation Homes | -0.1838 |
Consumption Expenditure of Bean Sprouts | -0.1845 |
Participants in Japanese Dance (25 years of age or more) | -0.1874 |
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning | -0.1875 |
Consumption Expenditure of ”Wakame”, seaweed | -0.1885 |
Shintoists | -0.1921 |
Death due to Bowel Cancer: Male | -0.1977 |
Consumption of Alcohol | -0.1993 |
Consumption Expenditure of Fried & Salted Snack Crackers | -0.2021 |
Patients with Hypertension (aged 65 or above) | -0.2103 |
Consumption Expenditure of Fried food | -0.2104 |
Consumption Expenditure of Shellfish | -0.2109 |
Consumption Expenditure of Soybean Paste | -0.2136 |
Rate of Intraregional Railway Passenger Transport | -0.2164 |
Consumption Expenditure of Saury | -0.217 |
BMI Female | -0.2227 |
Beds for Mental Patients | -0.2241 |
Mean Elevation | -0.2252 |
Temples | -0.2274 |
Golf Course | -0.2345 |
Consumption Expenditure of Edible Oil | -0.2381 |
General Beds | -0.2427 |
Rate of Single-parent Households | -0.2454 |
Curator | -0.2456 |
Patients with Cancer (aged 65 or above) | -0.2461 |
Churches | -0.2465 |
Consumption Expenditure of Mackerel | -0.2469 |
Death due to Stomach Cancer: Male | -0.2477 |
Baseball ground | -0.2495 |
Number of Anglers (25 years of age or more) | -0.2515 |
Consumption Expenditure of Apples | -0.2536 |
Bowling Alley | -0.2565 |
Consumption Expenditure of Crabs | -0.2576 |
Drowning Death Rate (Bath) | -0.2616 |
Length of Coastline | -0.2654 |
Rate of Empty Rental Houses | -0.2674 |
Number of Volleyball Players (25 years of age or more) | -0.2713 |
Patients with Cancer | -0.2777 |
Game Parlors | -0.2791 |
Consumption Expenditure of Scallops | -0.2809 |
Electric Energy Consumption | -0.2854 |
Consumption Expenditure of Instant Curry Mix | -0.2865 |
Consumption Expenditure of Fresh Water Clams | -0.2875 |
Consumption Expenditure of Dried Tangle | -0.2905 |
Consumption Expenditure of Sugar | -0.2926 |
Book Stores | -0.2946 |
Manufacturing Industries | -0.2958 |
Mass Media Viewing TIme | -0.2972 |
Sumo Ring | -0.3028 |
Consumption of Sake | -0.3032 |
Consumption Expenditure of Seafood | -0.3208 |
Participants in Community Development Activities (25 years of age or more) | -0.3218 |
Ski Resort | -0.3304 |
Kerosene Consumption | -0.3374 |
Nurse | -0.3409 |
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings | -0.347 |
Shinto Shrines | -0.3511 |
Consumption Expenditure of Salt | -0.3563 |
Consumption Expenditure of Flounder | -0.3619 |
Judo Hall | -0.3626 |
Kendo Hall | -0.3651 |
Liquefied Petroleum Gas Consumption | -0.3664 |
Rest and Relaxation Ttime | -0.3783 |
Homeownership | -0.3877 |
Patients with Cerebral Infarction (aged 65 or above) | -0.3889 |
Croquet and Gateball Field | -0.3926 |
Drowning Death Rate (Except for Bath) | -0.4004 |
Traffic-Related Death Rate - Pedestrian | -0.4027 |
Patients with Dyslipidemia | -0.4281 |
Death Due to Cancer : Female | -0.4318 |
Lowson | -0.4345 |
Rate of Empty Houses | -0.4381 |
Consumption Expenditure of Cuttlefish | -0.4385 |
Rate of Shotgun Wedding | -0.4435 |
Senior Citizens | -0.4436 |
Pachinko Parlors | -0.4504 |
Death Due to Cancer : Male | -0.4595 |
Death due to Old Age: Male | -0.4655 |
Employed Persons in Primary Industry | -0.4764 |
Traffic-Related Death Rate - All | -0.4836 |
Area | -0.4888 |
Total Length of Rivers | -0.4904 |
Bus and Taxi Registered | -0.4915 |
Tennis Court | -0.4944 |
Gym | -0.4956 |
Total Floor Space of Residential Buildings of one's own | -0.4981 |
Area of Forest Land | -0.5011 |
Total Floor Space of Residential Buildings of one's own | -0.5042 |
Total Floor Space of Residential Buildings of rental housing | -0.5043 |
Rate of Double-Income Households | -0.5136 |
Death due to Old Age: Female | -0.5168 |
Suicide Victims: Male | -0.5194 |
Theaters and Concert halls | -0.5246 |
Rate of Forest Land | -0.5255 |
Passenger Cars Registered | -0.5294 |
Fire Death Rate | -0.5312 |
Total Road Length | -0.5353 |
Homeownership | -0.5392 |
Swimming Pool | -0.549 |
Traffic-Related Death Rate - Driver | -0.5496 |
Athletic Field | -0.5654 |
Automobiles Registered | -0.5817 |
Elementary Schools | -0.5865 |
Sleeping Hours | -0.5901 |
Camp Site | -0.5936 |
Trucks Registered | -0.6313 |
Local Government Employees | -0.6493 |
School Personnel | -0.6964 |
Stats | Correlation Coefficient |
Order | Asc Desc |
School Personnel | -0.6964 |
Local Government Employees | -0.6493 |
Trucks Registered | -0.6313 |
Camp Site | -0.5936 |
Sleeping Hours | -0.5901 |
Elementary Schools | -0.5865 |
Automobiles Registered | -0.5817 |
Athletic Field | -0.5654 |
Traffic-Related Death Rate - Driver | -0.5496 |
Swimming Pool | -0.549 |
Homeownership | -0.5392 |
Total Road Length | -0.5353 |
Fire Death Rate | -0.5312 |
Passenger Cars Registered | -0.5294 |
Rate of Forest Land | -0.5255 |
Theaters and Concert halls | -0.5246 |
Suicide Victims: Male | -0.5194 |
Death due to Old Age: Female | -0.5168 |
Rate of Double-Income Households | -0.5136 |
Total Floor Space of Residential Buildings of rental housing | -0.5043 |
Total Floor Space of Residential Buildings of one's own | -0.5042 |
Area of Forest Land | -0.5011 |
Total Floor Space of Residential Buildings of one's own | -0.4981 |
Gym | -0.4956 |
Tennis Court | -0.4944 |
Bus and Taxi Registered | -0.4915 |
Total Length of Rivers | -0.4904 |
Area | -0.4888 |
Traffic-Related Death Rate - All | -0.4836 |
Employed Persons in Primary Industry | -0.4764 |
Death due to Old Age: Male | -0.4655 |
Death Due to Cancer : Male | -0.4595 |
Pachinko Parlors | -0.4504 |
Senior Citizens | -0.4436 |
Rate of Shotgun Wedding | -0.4435 |
Consumption Expenditure of Cuttlefish | -0.4385 |
Rate of Empty Houses | -0.4381 |
Lowson | -0.4345 |
Death Due to Cancer : Female | -0.4318 |
Patients with Dyslipidemia | -0.4281 |
Traffic-Related Death Rate - Pedestrian | -0.4027 |
Drowning Death Rate (Except for Bath) | -0.4004 |
Croquet and Gateball Field | -0.3926 |
Patients with Cerebral Infarction (aged 65 or above) | -0.3889 |
Homeownership | -0.3877 |
Rest and Relaxation Ttime | -0.3783 |
Liquefied Petroleum Gas Consumption | -0.3664 |
Kendo Hall | -0.3651 |
Judo Hall | -0.3626 |
Consumption Expenditure of Flounder | -0.3619 |
Consumption Expenditure of Salt | -0.3563 |
Shinto Shrines | -0.3511 |
Consumption Expenditure of 'Tsuyu' & 'Tare', Liquid Seasonings | -0.347 |
Nurse | -0.3409 |
Kerosene Consumption | -0.3374 |
Ski Resort | -0.3304 |
Participants in Community Development Activities (25 years of age or more) | -0.3218 |
Consumption Expenditure of Seafood | -0.3208 |
Consumption of Sake | -0.3032 |
Sumo Ring | -0.3028 |
Mass Media Viewing TIme | -0.2972 |
Manufacturing Industries | -0.2958 |
Book Stores | -0.2946 |
Consumption Expenditure of Sugar | -0.2926 |
Consumption Expenditure of Dried Tangle | -0.2905 |
Consumption Expenditure of Fresh Water Clams | -0.2875 |
Consumption Expenditure of Instant Curry Mix | -0.2865 |
Electric Energy Consumption | -0.2854 |
Consumption Expenditure of Scallops | -0.2809 |
Game Parlors | -0.2791 |
Patients with Cancer | -0.2777 |
Number of Volleyball Players (25 years of age or more) | -0.2713 |
Rate of Empty Rental Houses | -0.2674 |
Length of Coastline | -0.2654 |
Drowning Death Rate (Bath) | -0.2616 |
Consumption Expenditure of Crabs | -0.2576 |
Bowling Alley | -0.2565 |
Consumption Expenditure of Apples | -0.2536 |
Number of Anglers (25 years of age or more) | -0.2515 |
Baseball ground | -0.2495 |
Death due to Stomach Cancer: Male | -0.2477 |
Consumption Expenditure of Mackerel | -0.2469 |
Churches | -0.2465 |
Patients with Cancer (aged 65 or above) | -0.2461 |
Curator | -0.2456 |
Rate of Single-parent Households | -0.2454 |
General Beds | -0.2427 |
Consumption Expenditure of Edible Oil | -0.2381 |
Golf Course | -0.2345 |
Temples | -0.2274 |
Mean Elevation | -0.2252 |
Beds for Mental Patients | -0.2241 |
BMI Female | -0.2227 |
Consumption Expenditure of Saury | -0.217 |
Rate of Intraregional Railway Passenger Transport | -0.2164 |
Consumption Expenditure of Soybean Paste | -0.2136 |
Consumption Expenditure of Shellfish | -0.2109 |
Consumption Expenditure of Fried food | -0.2104 |
Patients with Hypertension (aged 65 or above) | -0.2103 |
Consumption Expenditure of Fried & Salted Snack Crackers | -0.2021 |
Consumption of Alcohol | -0.1993 |
Death due to Bowel Cancer: Male | -0.1977 |
Shintoists | -0.1921 |
Consumption Expenditure of ”Wakame”, seaweed | -0.1885 |
Consumption Expenditure of Mayonnaise & Mayonnaise Flavor Seasoning | -0.1875 |
Participants in Japanese Dance (25 years of age or more) | -0.1874 |
Consumption Expenditure of Bean Sprouts | -0.1845 |
Vacation Homes | -0.1838 |
Consumption Expenditure of “Enokitake”, mushrooms | -0.1832 |
Consumption Expenditure of Bonito | -0.1789 |
Employed Persons in Secondary Industry | -0.1749 |
Consumption Expenditure of Soy Sauce | -0.1716 |
Consumption Expenditure of Bean curd | -0.1711 |
Pachinko Players (25 years of age or more) | -0.1654 |
Rice Production | -0.1634 |
Consumption Expenditure of Mushrooms | -0.1628 |
Consumption of Beer | -0.1618 |
Consumption Expenditure of Sardines | -0.1611 |
Consumption Expenditure of Hamburg Steak | -0.161 |
Rate of Smoking: Male | -0.1601 |
Mister Donut | -0.1597 |
Saveon | -0.1549 |
Psychiatric Hospitals | -0.1511 |
Rate of Obstetricians and Gynecologists | -0.1452 |
Firing Range | -0.1447 |
Participants in Volunteer Work (25 years of age or more) | -0.1407 |
Family Mart | -0.1355 |
Hospital | -0.1345 |
Consumption Expenditure of Bonito Fillets & Fish Flakes, Dried | -0.1336 |
Consumption Expenditure of Fermented Lactic Beverages | -0.133 |
Patients with Asthma | -0.1326 |
Consumption Expenditure of Salmon | -0.1312 |
Participants in DIY (25 years of age or more) | -0.1308 |
Japanese Archery Range | -0.1298 |
Beds for Long-Term Care | -0.1286 |
Skating Rink | -0.1276 |
Number of Gateball Players (25 years of age or more) | -0.127 |
Male Physicians | -0.1191 |
Consumption of Shochu | -0.1176 |
Husband and Wife | -0.1162 |
Consumption Expenditure of Carbonated Beverages | -0.1156 |
BMI Male | -0.1117 |
Consumption Expenditure of ’Furikake’, Granular Flavour Seasonings | -0.1094 |
Death due to Stomach Cancer: Female | -0.1062 |
Consumption Expenditure of Croquettes | -0.1046 |
Participants in Nature Conservation Activities (25 years of age or more) | -0.1036 |
Monthly Cost of Water | -0.1021 |
Mos Burger | -0.1019 |
Consumption Expenditure of Fruits | -0.1004 |
Clinic | -0.0996 |
Death due to Lung Cancer: Male | -0.099 |
Obstetricians and Gynecologists | -0.0906 |
Video Arcades | -0.088 |
Consumption Expenditure of Other Raw Meat | -0.0841 |
Consumption Expenditure of 'Manju', Bean-jam Cakes | -0.0819 |
Patients with Diabetes | -0.0784 |
Participants in Community Safety Activities (25 years of age or more) | -0.0781 |
Consumption Expenditure of Yellowtail | -0.0762 |
Pharmacies | -0.0745 |
Murder Victims | -0.0726 |
Consumption Expenditure of Vinegar | -0.0681 |
Consumption Expenditure of Cutlets | -0.0634 |
Dance Studio, Dance Hall | -0.0603 |
Consumption Expenditure of “Shimeji”, mushrooms | -0.0572 |
H1N1 Influenza | -0.0563 |
Brazilian Residents in Japan | -0.0519 |
Consumption Expenditure of Shrimps & Lobsters | -0.0505 |
Riding Ground | -0.0447 |
Consumption Expenditure of Pickled Fish | -0.0417 |
Traffic-Related Death Rate - Bicyclist | -0.0407 |
Amount of Greenhouse Gas Emission | -0.0401 |
Consumption Expenditure of Carrots | -0.04 |
Engel's coefficient | -0.0373 |
Consumption Expenditure of “Yakitori”,Grilled Chickens | -0.0361 |
Suicide Victims: Female | -0.0343 |
Consumption Expenditure of “Shiitake”, Japanese mushrooms, fresh | -0.0265 |
Consumption Expenditure of Flower | -0.0261 |
Pediatricians | -0.0232 |
Death due to Liver Cancer: Male | -0.0199 |
Consumption Expenditure of School Uniforms | -0.0117 |
Convenience Stores | -0.0114 |
Participants in Gardening (25 years of age or more) | -0.0109 |
Number of Children | -0.009 |
Elementary School Students | -0.0073 |
Motorcycles Registered | -0.0055 |
Number of Physicians | -0.0042 |
Practicing Physicians | -0.004 |
Industrial Production | -0.002 |
Consumption Expenditure of Spinach | 0.0008 |
Number of Softball Players (25 years of age or more) | 0.0012 |
Consumption Expenditure of Burdocks | 0.0084 |
Ministry of Health, Labour and Welfare | 0.0147 |
Participants in Child-Rearing Assistance Activities (25 years of age or more) | 0.0165 |
Consumption Expenditure of Horse Mackerel | 0.0182 |
Rate of Pediatricians | 0.0266 |
Consumption Expenditure of String beans | 0.0271 |
Consumption Expenditure of Margarine | 0.03 |
Consumption Expenditure of Bananas | 0.0325 |
Traffic-Related Death Rate - Motorcyclist | 0.0328 |
Consumption Expenditure of Worcester Sauce | 0.038 |
Consumption of Pork | 0.0409 |
Poplar | 0.0411 |
Consumption Expenditure of 'Kasutera', Sponge Cakes | 0.0423 |
Sukiya | 0.0436 |
Peruvian Residents in Japan | 0.044 |
Death due to Bowel Cancer: Female | 0.0475 |
Households Living on Welfare | 0.0486 |
Participants in Japanese flower arrangement (25 years of age or more) | 0.0528 |
Paved Rate | 0.0558 |
Women's Housekeeping Time | 0.0689 |
Death due to Liver Cancer: Female | 0.0719 |
Seicomart | 0.0793 |
Consumption Expenditure of Mandarin Oranges | 0.0878 |
Daily Yamazaki | 0.0895 |
Fish Catches | 0.0902 |
Soybean Production | 0.0906 |
Number of Ski & Snowboard Players (25 years of age or more) | 0.0921 |
Consumption Expenditure of Ready-to-eat Food | 0.1038 |
Average Life Expectancy: Female | 0.1046 |
Consumption Expenditure of Citrus Fruits | 0.1054 |
Consumption Expenditure of Puddings | 0.1084 |
Number of Baseball Players (25 years of age or more) | 0.1145 |
Consumption Expenditure of Frozen Food | 0.1151 |
Number of Basketball Players (25 years of age or more) | 0.1178 |
Annual Rate of Unemployment | 0.1221 |
Consumption of Whisky | 0.1233 |
Consumption Expenditure of Onigiri | 0.1264 |
Consumption Expenditure of Medicines | 0.129 |
Komeda Coffee | 0.1308 |
Consumption Expenditure of Coffee | 0.1346 |
Wheat Production | 0.1402 |
Patients with Major depressive disorder | 0.1416 |
National Achievement Test | 0.1417 |
Participants in Playing Japanese music (25 years of age or more) | 0.144 |
Consumption Expenditure of 'Senbei', Japanese Crackers | 0.1441 |
Consumption Expenditure of Packed Lunch | 0.1458 |
Participants in Japanese tea ceremony (25 years of age or more) | 0.147 |
Consumption Expenditure of Biscuits | 0.1489 |
Participants in Go (25 years of age or more) | 0.1494 |
Buddhists | 0.1512 |
Patient with Cavity | 0.1516 |
Thai Residents in Japan | 0.1524 |
Automobile Accidents | 0.1525 |
Consumption Expenditure of Fried Bean Curd | 0.1541 |
Consumption Expenditure of Oysters | 0.1548 |
Patient with Fracture | 0.1555 |
Rate of Smoking: Female | 0.1564 |
Highest temperature | 0.1603 |
Consumption Expenditure of Oranges | 0.1615 |
American Residents in Japan | 0.1616 |
Indonesian Residents in Japan | 0.1664 |
Consumption of Chicken | 0.1692 |
Meal TIme | 0.17 |
Consumption Expenditure of Radishes | 0.1749 |
Gross Production | 0.1753 |
Rate of Artificial Forest Land | 0.18 |
Consumption Expenditure of Chocolate | 0.1893 |
Consumption of Beef | 0.1895 |
Consumption Expenditure of Octopus | 0.1901 |
Consumption Expenditure of Dressing | 0.1927 |
Consumption Expenditure of Jiao-zi | 0.1991 |
Consumption Expenditure of Children's Underwear | 0.1998 |
Consumption Expenditure of Salad | 0.2012 |
Consumption Expenditure of Cucumbers | 0.205 |
Consumption Expenditure of Jelly | 0.2071 |
Patient with Fracture | 0.2077 |
Philippine Residents in Japan | 0.2094 |
Number of Badminton Players (25 years of age or more) | 0.2114 |
Consumption Expenditure of Candies | 0.2225 |
Employed Persons in Tertiary Industry | 0.2262 |
Consumption of Wine | 0.2331 |
Russian Residents in Japan | 0.2356 |
Consumption Expenditure of Vegetables & Seaweeds Prepared in Soy Sauce | 0.2416 |
Consumption Expenditure of Strawberries | 0.2447 |
Internet cafe | 0.2469 |
Kentucky Fried Chicken | 0.2526 |
Nakau | 0.2541 |
Job Offer Retractions | 0.2554 |
Christians | 0.2557 |
Ministop | 0.2581 |
Consumption Expenditure of Cabbage | 0.2588 |
Design Registrations | 0.2652 |
Patients with Diabetes (aged 65 or above) | 0.2698 |
Consumption Expenditure of Leafy Vegetables | 0.2701 |
Consumption Expenditure of Sweet Potatoes | 0.2717 |
Consumption Expenditure of Tomato Ketchup | 0.2742 |
Death due to Lung Cancer: Female | 0.2757 |
Consumption Expenditure of Eggplants | 0.2799 |
Patients with Major depressive disorder (aged 65 or above) | 0.2867 |
Female Physicians | 0.2876 |
Consumption Expenditure of Broccoli | 0.2907 |
Seven Eleven | 0.2918 |
AIDS Patients | 0.2925 |
Consumption Expenditure of Chinese cabbage | 0.2967 |
Yoshinoya | 0.2991 |
Consumption Expenditure of Welsh Onions | 0.3078 |
South and North Korean Residents in Japan | 0.3088 |
Participants in Knitting and Handicraft (25 years of age or more) | 0.3134 |
Number of Bowling Players (25 years of age or more) | 0.3158 |
Consumption Expenditure of Pickled Vegetables | 0.321 |
Japanese and Foreign HIV Carriers | 0.321 |
Consumption Expenditure of Milk | 0.3218 |
Consumption Expenditure of Tomatoes | 0.3222 |
Consumption Expenditure of Instant Dried Soup | 0.3229 |
Consumption Expenditure of Green Tea | 0.3239 |
Sri Lankan Residents in Japan | 0.3267 |
Vietnamese Residents in Japan | 0.3277 |
Attractiveness | 0.3286 |
Burmese Residents in Japan | 0.3322 |
Utility Model Registrations | 0.3336 |
Starbucks | 0.3338 |
Private High School Fee for 1st Year | 0.3375 |
Consumption Expenditure of Taros | 0.3385 |
Consumption Expenditure of Cakes & Candies | 0.3394 |
Attorney | 0.347 |
Consumption Expenditure of Onions | 0.3472 |
Fitness Clubs | 0.3474 |
Trademark Registrations | 0.3476 |
| 0.3506 |
Consumption Expenditure of Watermelons | 0.3521 |
Domestic Tourists (Overnight stay)(25 years of age or more) | 0.3528 |
Lotteria | 0.3588 |
Consumption Expenditure of Cakes | 0.3638 |
Japanese HIV Carriers | 0.3651 |
Participants in Dance (25 years of age or more) | 0.3669 |
Consumption Expenditure of Flavour Seasonings | 0.3705 |
Consumption Amount of Umbrella | 0.3727 |
Expenditure of Pocket Money (Household Heads) | 0.3748 |
Average time spent on Volunteer and social activities | 0.3766 |
Consumption Expenditure of Root Vegetables | 0.3779 |
Consumption Expenditure of Men's Underwear | 0.3783 |
Dentists | 0.3783 |
People Living Alone | 0.3789 |
Consumption Expenditure of 'Yokan', Sweet Bean Jelly | 0.3825 |
Consumption Expenditure of Dried Laver | 0.3841 |
Online Game Penetration | 0.3878 |
Consumption Expenditure of Jam | 0.3879 |
Patent Attorneys | 0.388 |
Consumption Expenditure of Pumpkins | 0.3883 |
Delivery Cost | 0.3924 |
Labor and Social Security Attorney | 0.3933 |
Indian Residents in Japan | 0.3952 |
Consumption Expenditure of ”Kabayaki”,Broiled Eels | 0.3952 |
Number of campers (25 years of age or more) | 0.3955 |
Prefectural Income | 0.397 |
Number of Hikers (25 years of age or more) | 0.4008 |
Dental Clinics | 0.4053 |
Patent Registrations | 0.4055 |
Nepali Residents in Japan | 0.4063 |
Participants in Dressmaking (25 years of age or more) | 0.4065 |
Consumption Expenditure of Accessories | 0.4066 |
Doutor Coffee | 0.4072 |
Certified Public Accountant | 0.4086 |
Gyudon (Beef bowl) Stores | 0.4168 |
Consumption Expenditure of Short-Necked Clams | 0.4185 |
Taiwanese Residents in Japan | 0.4203 |
Consumption Expenditure of Mineral Water | 0.4237 |
Consumption Expenditure of Children's dresses | 0.4238 |
Participants in Karaoke (25 years of age or more) | 0.4268 |
Number of Golfers (25 years of age or more) | 0.4285 |
Spectator Sport Watchers (25 years of age or more) | 0.4287 |
Population Density | 0.4324 |
Mean Age at First Marriage (Male) | 0.4372 |
Consumption Expenditure of Shao-mais | 0.4394 |
Foreign Residents in Japan | 0.4427 |
Salary of Prefectural Governors | 0.4474 |
Participants in Japanese calligraphy (25 years of age or more) | 0.4486 |
Consumption Expenditure of Lettuce | 0.4517 |
Consumption Expenditure of Cheese | 0.4525 |
Participants in Chorus and Vocal music (25 years of age or more) | 0.4544 |
Facebook User | 0.455 |
Average Industrial Land Price | 0.4574 |
Consumption Expenditure of White Potatoes | 0.4575 |
English Residents in Japan | 0.4578 |
Working Hours | 0.4596 |
Italian Residents in Japan | 0.46 |
Savings per Household | 0.4607 |
Washing Charges | 0.4613 |
Participants in Crafts and Ceramics (25 years of age or more) | 0.4655 |
Rate of Nuclear Families | 0.4668 |
Average Commercial Land Price | 0.4682 |
Average Life Expectancy: Male | 0.4698 |
French Residents in Japan | 0.4713 |
German Residents in Japan | 0.4747 |
Licensed Architect (1st grade) | 0.479 |
Valid Passports | 0.4805 |
Rate of Female Physicians | 0.4817 |
Consumption Expenditure of Medical Services | 0.4886 |
Number of Table Tennis Players (25 years of age or more) | 0.4956 |
Mean Age at First Marriage (Female) | 0.4989 |
Participants in Homemaking Training (25 years of age or more) | 0.4995 |
Natural Gas Consumption | 0.5001 |
Waka, Haiku, Poetry and Novel Composers (25 years of age or more) | 0.5031 |
Participants in Cooking and Sweets Cooking (25 years of age or more) | 0.5066 |
Mean Age of Father at 1st Child Birth | 0.5162 |
Participants in Shogi (25 years of age or more) | 0.5209 |
Spinach Production | 0.5234 |
Mean Age of Mother at 1st Child Birth | 0.529 |
Average Residential Land Price | 0.5294 |
Matsuya | 0.5299 |
Railway Passenger Transport | 0.5349 |
Mobile Phone Subscriptions | 0.5351 |
Consumption Expenditure of Black Tea | 0.5368 |
Broadband Contracts | 0.5413 |
Consumption Expenditure of Women's Underwear | 0.5436 |
Number of Joggers (25 years of age or more) | 0.544 |
Participants in Classical Music Concert (25 years of age or more) | 0.5507 |
Minimum Wage | 0.5524 |
Consumption Expenditure of Butter | 0.555 |
SNS Penetration | 0.5626 |
Participants in Playing Instrumentst (25 years of age or more) | 0.563 |
Consumption Expenditure of Cucumbers | 0.5727 |
Number of Soccer Players (25 years of age or more) | 0.5736 |
Concentration of Population | 0.5763 |
Moviegoers (25 years of age or more) | 0.5829 |
Amusement park, Zoo, Botanical garden, Aquarium Visitors (25 years of age or more) | 0.5843 |
Population | 0.5847 |
Population Ratio | 0.5848 |
Online Video Penetration | 0.5868 |
Participants in Arts and Culture Studies (25 years of age or more) | 0.5886 |
Participants in Concert (25 years of age or more) | 0.5899 |
Online Shopping Penetration | 0.5925 |
Outbound Tourists (25 years of age or more) | 0.5979 |
Number of Cyclists (25 years of age or more) | 0.6018 |
Consumption Expenditure of Women's clothing | 0.6045 |
Theatergoers (25 years of age or more) | 0.6048 |
Number of Tennis Players (25 years of age or more) | 0.6097 |
Number of Swimmers (25 years of age or more) | 0.6125 |
Video Game Players (25 years of age or more) | 0.6153 |
English language learners (25 years of age or more) | 0.6161 |
Participants in Drawing Pictures and Sculpturing (25 years of age or more) | 0.6174 |
Chinese Residents in Japan | 0.618 |
Domestic Tourists (Overnight stay)(25 years of age or more) | 0.6192 |
Monthly Rent | 0.6226 |
Cellphone Penetration | 0.6241 |
Book Readers (25 years of age or more) | 0.6326 |
Internet Penetration | 0.6395 |
Smartphone Penetration | 0.6398 |
Educational Expenses | 0.6611 |
Real Estate Notary | 0.6816 |
Number of Sports Players (25 years of age or more) | 0.6859 |
Number of people who went back to their hometown (25 years of age or more) | 0.6967 |
Consumption Expenditure of Clothing & Footwear | 0.7057 |
Amateur Photographers (25 years of age or more) | 0.7251 |
Consumption Expenditure of Men's clothing | 0.7628 |