Data 1 Livelihood protection allowance
Data 2 The crime incidence
Data 3 Livelihood protection allowance
Data 4 The population denseness ground
Data 5 Gross national product
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Data 6 National income to every 1
Data 7 Marriage rate
Data 8 Divorce rate
Data 9 Birth rate
Data 10 Death rate
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Data 11 Suicide rate
Data 12 The juvenile crimes number
Data 13 Commercial district comparatively
Data 14 The crime occurrences
Data 15 National income
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Data 16 The boy violent crime
Data 17 Designated city
Data 18 The beneficiary and burden
Data 19 Livestock raising, Cow for milk
Data 20 Livestock raising, Pig
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Data 21 Livestock raising, Egg chicken
Data 22 Livestock raising, Cow for meat
Data 23 Livestock raising, Broiler
Data 24 Livestock raising, Integration
Data 25 Area
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Data 26 Housing land area
Data 27 Housing land area comparatively
Data 28 Forest, ranch area
Data 29 Forest, ranch area comparatively
Data 30 Rice paddy, field area
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Data 31 Rice paddy, field area comparatively
Data 32 Commerce land price, average price
Data 33 Industrial area/quasiindustry land price, average price
Data 34 Residence land price, average price
Data 35 Population over 64 years old
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Data 36 Over 64 years old population comparatively
Data 37 Population below 20 years old
Data 38 Below 20 years old population comparatively
Data 39 Complete unemployment rate
Data 40 Unlabor force (the housewife/student/old person)
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Data 41 Complete worker comparatively
Data 42 The unemployed (it includes the closure) person comparatively
Data 43 Employee of the construction industry comparatively
Data 44 Employee of the manufacturing industry comparatively
Data 45 Employee of the service industry comparatively
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Data 46 Employee of public service comparatively
Data 47 Income for 1 month (1 family)
Data 48 Disbursement for 1 month (1 family)
Data 49 Food expense for 1 month (1 family)
Data 50 The rent for 1 month (Private management 3.3 square meter)
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Data 51 Water Michiyo for 1 month (The basic fare)
Data 52 Gas reign for 1 month (The basic fare)
Data 53 Bus reign (a lowest fare)
Data 54 Hairdressing charge (1 time)
Data 55 Permanent charge (1 time)
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Data 56 Rice charge (10kg)
Data 57 Bread (1kg)
Data 58 Tuna slice (100g)
Data 59 Horse mackerel (100g)
Data 60 Beef shoulder meat (100g)
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Data 61 Meat even pork (100g)
Data 62 Milk (1000ml)
Data 63 Egg (1‡s)
Data 64 Cabbage (1kg)
Data 65 Miso (1kg)
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Data 66 Consumer prices, integration
Data 67 Consumer prices, food
Data 68 Consumer prices, houses
Data 69 Consumer prices, light/heat/water
Data 70 Consumer prices, health care
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Data 71 Consumer prices, traffic/communications
Data 72 Consumer prices, education
Data 73 Family number
Data 74 The population density (1k square meter)
Data 75 Place of business number
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Data 76 Company employees number
Data 77 Farmhouse number
Data 78 Farmhouse population
Data 79 Fishing industry management number
Data 80 Ridge number of start structure
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Data 81 Car possession number
Data 82 Traffic accident number
Data 83 Store number
Data 84 Monthly sum salary to every 1 person
Data 85 Working hours
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Data 86 Livelihood protection allowance rate
Data 87 The finance power index
Data 88 Usually accounts annual revenue
Data 89 Usually accounts annual expenditure
Data 90 Usually accounts saving ratio
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Data 91 Election voter number
Data 92 Local Public officer population (2000 years)
Data 93 Local Public officer (population ratio)
Data 94 Hospital number (Population 100,000 pairs)
Data 95 Doctor number (Population 100,000 pairs)
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Data 96 Minimum wages
Data 97 Initial pay of a new high school student graduate
Data 98 Local Public officer population (2003 years)
Data 99 Prefecture Diet member population
Data 100 Month compensation of the prefecture Diet member
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Data 101 Prefectural assembly disclosure
Data 102 Foreign country inspection of the prefecture Diet member
Data 103 Prefectural assembly transparent
Data 104 Annual sum Diet member survey expense to every 1 person
Data 105 Disclosure of the Diet member survey expense
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Data 106 The propagation rate of the Internet
Data 107 University student/graduate school graduation comparatively
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Fukuoka's Sightseeing resort
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