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US Statistics Database of 41,837 US Cities & 3,140 Counties (Population, Health, Cost of Living, Economy, Housing, Crime, Education, Religion, etc.)

Database Description:

This database comes with 116 statistic columns for each of the 41,837 cities and towns, each of the 3,140 counties, and each of the 51 states, as well as United States itself on the nation level. Listed below are all the statistic columns / data fields:

1). Population
2). Population Density
3). Population Change
4). Median Age
5). Number of Households
6). Household Size
7). Male Population
8). Female Population
9). Married Population
10). Single Population
11). Air Quality Index
12). Water Quality Index
13). Superfund Sites Index
14). Number of Physicians per 100k Residents
15). Unemployment Rate
16). Recent Job Growth
17). Future Job Growth
18). Sales Taxes
19). Income Taxes
20). Income per Capita
21). Household Income
22). Household Income Less Than 15K
23). Household Income between 15K and 25K
24). Household Income between 25K and 35K
25). Household Income between 35K and 50K
26). Household Income between 50K and 75K
27). Household Income between 75K and 100K
28). Household Income between 100K and 150K
29). Household Income between 150K and 250K
30). Household Income between 250K and 500K
31). Household Income greater than 500K
32). Management, Business, and Financial Operations
33). Professional and Related Occupations
34). Service
35). Sales and Office
36). Farming, Fishing, and Forestry
37). Construction, Extraction, and Maintenance
38). Production, Transportation, and Material Moving
39). Median Home Age
40). Median Home Cost
41). Home Appreciation
42). Homes Owned
43). Housing Vacant
44). Homes Rented
45). Property Tax Rate
46). Homes Worth Less Than $20,000
47). Homes Worth $20,000 to $39,999
48). Homes Worth $40,000 to $59,999
49). Homes Worth $60,000 to $79,999
50). Homes Worth $80,000 to $99,999
51). Homes Worth $100,000 to $149,999
52). Homes Worth $150,000 to $199,999
53). Homes Worth $200,000 to $299,999
54). Homes Worth $300,000 to $399,999
55). Homes Worth $400,000 to $499,999
56). Homes Worth $500,000 to $749,999
57). Homes Worth $1,000,000 or more
58). Homes Built from 1999 to October 2005
59). Homes Built from 1995 to 1998
60). Homes Built from 1990 to 1994
61). Homes Built from 1980 to 1989
62). Homes Built from 1970 to 1979
63). Homes Built from 1960 to 1969
64). Homes Built from 1950 to 1959
65). Homes Built from 1940 to 1949
66). Homes Built in 1939 or Earlier
67). Violent Crime
68). Property Crime
69). Rainfall (in.)
70). Snowfall (in.)
71). Precipitation Days
72). Sunny Days
73). Average July High Temperature
74). Average January Low Temperature
75). Comfort Index (higher=better)
76). UV Index
77). Elevation or Altitude in ft.
78). School Expenditure
79). Pupil/Teacher Ratio
80). Students per Librarian
81). Students per Counselor
82). 2 yr College Graduate
83). 4 yr College Graduate
84). Graduate Degrees
85). High School Graduates
86). Commute Time
87). Alone Auto Commute
88). Carpool Commute
89). Mass Transit Commute
90). Work at Home
91). Commute Less Than 15 min.
92). Commute 15 to 29 min.
93). Commute 30 to 44 min.
94). Commute 45 to 59 min.
95). Commute greater than 60 min.
96). Overall Cost of Living
97). Cost of Food
98). Cost of Utilities
99). Miscellaneous Costs
100). Percent Religious
101). Catholic Percentage
102). Protestant Percentage
103). LDS Percentage
104). Baptist Percentage
105). Episcopalian Percentage
106). Pentecostal Percentage
107). Lutheran Percentage
108). Methodist Percentage
109). Presbyterian Percentage
110). Other Christian Percentage
111). Jewish Percentage
112). Eastern Percentage
113). Islam Percentage
114). Democrat Percentage
115). Republican Percentage
116). Independent Other Percentage

Database Meta:

  • Size: 34.9 MB
  • Last updated: Apr. 27th, 2011
  • Formats Included: MySQL 5 SQL dump text file, CSV, MS Excel
  • Tables: 5

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MySQL Database: US Statistics Database of 41,837 US Cities & 3,140 Counties (Population, Health, Cost of Living, Economy, Housing, Crime, Education, Religion, etc.) for Sale

Table Details (Data Structure / Schema):

  • city
    Records:41,837

    All the 116 statistics data for each of the cities on city level across US.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. slug: varchar(255)
    4. state_abbreviation: char(2)
    5. Metro Area: varchar(128)
    6. county_id: int(11)
    7. Zip Code: varchar(128)
    8. Population: varchar(128)
    9. Pop. Density: varchar(128)
    10. Pop. Change: varchar(128)
    11. Median Age: varchar(128)
    12. Households: varchar(128)
    13. Household Size: varchar(128)
    14. Male Population: varchar(128)
    15. Female Population: varchar(128)
    16. Married Population: varchar(128)
    17. Single Population: varchar(128)
    18. Air Quality (100=best): varchar(128)
    19. Water Quality (100=best): varchar(128)
    20. Superfund Sites (100=best): varchar(128)
    21. Physicians per 100k: varchar(128)
    22. Unemployment Rate: varchar(128)
    23. Recent Job Growth: varchar(128)
    24. Future Job Growth: varchar(128)
    25. Sales Taxes: varchar(128)
    26. Income Taxes: varchar(128)
    27. Income per Cap.: varchar(128)
    28. Household Income: varchar(128)
    29. Income Less Than 15K: varchar(128)
    30. Income between 15K and 25K: varchar(128)
    31. Income between 25K and 35K: varchar(128)
    32. Income between 35K and 50K: varchar(128)
    33. Income between 50K and 75K: varchar(128)
    34. Income between 75K and 100K: varchar(128)
    35. Income between 100K and 150K: varchar(128)
    36. Income between 150K and 250K: varchar(128)
    37. Income between 250K and 500K: varchar(128)
    38. Income greater than 500K: varchar(128)
    39. Management, Business, and Financial Operations: varchar(128)
    40. Professional and Related Occupations: varchar(128)
    41. Service: varchar(128)
    42. Sales and Office: varchar(128)
    43. Farming, Fishing, and Forestry: varchar(128)
    44. Construction, Extraction, and Maintenance: varchar(128)
    45. Production, Transportation, and Material Moving: varchar(128)
    46. Median Home Age: varchar(128)
    47. Median Home Cost: varchar(128)
    48. Home Appreciation: varchar(128)
    49. Homes Owned: varchar(128)
    50. Housing Vacant: varchar(128)
    51. Homes Rented: varchar(128)
    52. Property Tax Rate: varchar(128)
    53. Less Than $20,000: varchar(128)
    54. $20,000 to $39,999: varchar(128)
    55. $40,000 to $59,999: varchar(128)
    56. $60,000 to $79,999: varchar(128)
    57. $80,000 to $99,999: varchar(128)
    58. $100,000 to $149,999: varchar(128)
    59. $150,000 to $199,999: varchar(128)
    60. $200,000 to $299,999: varchar(128)
    61. $300,000 to $399,999: varchar(128)
    62. $400,000 to $499,999: varchar(128)
    63. $500,000 to $749,999: varchar(128)
    64. $1,000,000 or more: varchar(128)
    65. 1999 to October 2005: varchar(128)
    66. 1995 to 1998: varchar(128)
    67. 1990 to 1994: varchar(128)
    68. 1980 to 1989: varchar(128)
    69. 1970 to 1979: varchar(128)
    70. 1960 to 1969: varchar(128)
    71. 1950 to 1959: varchar(128)
    72. 1940 to 1949: varchar(128)
    73. 1939 or Earlier: varchar(128)
    74. Violent Crime: varchar(128)
    75. Property Crime: varchar(128)
    76. Rainfall (in.): varchar(128)
    77. Snowfall (in.): varchar(128)
    78. Precipitation Days: varchar(128)
    79. Sunny Days: varchar(128)
    80. Avg. July High: varchar(128)
    81. Avg. Jan. Low: varchar(128)
    82. Comfort Index (higher=better): varchar(128)
    83. UV Index: varchar(128)
    84. Elevation ft.: varchar(128)
    85. School Expend.: varchar(128)
    86. Pupil/Teacher Ratio: varchar(128)
    87. Students per Librarian: varchar(128)
    88. Students per Counselor: varchar(128)
    89. 2 yr College Grad.: varchar(128)
    90. 4 yr College Grad.: varchar(128)
    91. Graduate Degrees: varchar(128)
    92. High School Grads.: varchar(128)
    93. Commute Time: varchar(128)
    94. Auto (alone): varchar(128)
    95. Carpool: varchar(128)
    96. Mass Transit: varchar(128)
    97. Work at Home: varchar(128)
    98. Commute Less Than 15 min.: varchar(128)
    99. Commute 15 to 29 min.: varchar(128)
    100. Commute 30 to 44 min.: varchar(128)
    101. Commute 45 to 59 min.: varchar(128)
    102. Commute greater than 60 min.: varchar(128)
    103. Overall: varchar(128)
    104. Food: varchar(128)
    105. Utilities: varchar(128)
    106. Miscellaneous: varchar(128)
    107. Percent Religious: varchar(128)
    108. Catholic: varchar(128)
    109. Protestant: varchar(128)
    110. LDS: varchar(128)
    111. Baptist: varchar(128)
    112. Episcopalian: varchar(128)
    113. Pentecostal: varchar(128)
    114. Lutheran: varchar(128)
    115. Methodist: varchar(128)
    116. Presbyterian: varchar(128)
    117. Other Christian: varchar(128)
    118. Jewish: varchar(128)
    119. Eastern: varchar(128)
    120. Islam: varchar(128)
    121. Democrat: varchar(128)
    122. Republican: varchar(128)
    123. Independent Other: varchar(128)
  • county
    Records:3,140

    All the 116 statistics data for each of the counties on county level across US.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. slug: varchar(255)
    4. state_abbreviation: char(2)
    5. Metro Area: varchar(128)
    6. Population: varchar(128)
    7. Pop. Density: varchar(128)
    8. Pop. Change: varchar(128)
    9. Median Age: varchar(128)
    10. Households: varchar(128)
    11. Household Size: varchar(128)
    12. Male Population: varchar(128)
    13. Female Population: varchar(128)
    14. Married Population: varchar(128)
    15. Single Population: varchar(128)
    16. Air Quality (100=best): varchar(128)
    17. Water Quality (100=best): varchar(128)
    18. Superfund Sites (100=best): varchar(128)
    19. Physicians per 100k: varchar(128)
    20. Unemployment Rate: varchar(128)
    21. Recent Job Growth: varchar(128)
    22. Future Job Growth: varchar(128)
    23. Sales Taxes: varchar(128)
    24. Income Taxes: varchar(128)
    25. Income per Cap.: varchar(128)
    26. Household Income: varchar(128)
    27. Income Less Than 15K: varchar(128)
    28. Income between 15K and 25K: varchar(128)
    29. Income between 25K and 35K: varchar(128)
    30. Income between 35K and 50K: varchar(128)
    31. Income between 50K and 75K: varchar(128)
    32. Income between 75K and 100K: varchar(128)
    33. Income between 100K and 150K: varchar(128)
    34. Income between 150K and 250K: varchar(128)
    35. Income between 250K and 500K: varchar(128)
    36. Income greater than 500K: varchar(128)
    37. Management, Business, and Financial Operations: varchar(128)
    38. Professional and Related Occupations: varchar(128)
    39. Service: varchar(128)
    40. Sales and Office: varchar(128)
    41. Farming, Fishing, and Forestry: varchar(128)
    42. Construction, Extraction, and Maintenance: varchar(128)
    43. Production, Transportation, and Material Moving: varchar(128)
    44. Median Home Age: varchar(128)
    45. Median Home Cost: varchar(128)
    46. Home Appreciation: varchar(128)
    47. Homes Owned: varchar(128)
    48. Housing Vacant: varchar(128)
    49. Homes Rented: varchar(128)
    50. Property Tax Rate: varchar(128)
    51. Less Than $20,000: varchar(128)
    52. $20,000 to $39,999: varchar(128)
    53. $40,000 to $59,999: varchar(128)
    54. $60,000 to $79,999: varchar(128)
    55. $80,000 to $99,999: varchar(128)
    56. $100,000 to $149,999: varchar(128)
    57. $150,000 to $199,999: varchar(128)
    58. $200,000 to $299,999: varchar(128)
    59. $300,000 to $399,999: varchar(128)
    60. $400,000 to $499,999: varchar(128)
    61. $500,000 to $749,999: varchar(128)
    62. $1,000,000 or more: varchar(128)
    63. 1999 to October 2005: varchar(128)
    64. 1995 to 1998: varchar(128)
    65. 1990 to 1994: varchar(128)
    66. 1980 to 1989: varchar(128)
    67. 1970 to 1979: varchar(128)
    68. 1960 to 1969: varchar(128)
    69. 1950 to 1959: varchar(128)
    70. 1940 to 1949: varchar(128)
    71. 1939 or Earlier: varchar(128)
    72. Violent Crime: varchar(128)
    73. Property Crime: varchar(128)
    74. Rainfall (in.): varchar(128)
    75. Snowfall (in.): varchar(128)
    76. Precipitation Days: varchar(128)
    77. Sunny Days: varchar(128)
    78. Avg. July High: varchar(128)
    79. Avg. Jan. Low: varchar(128)
    80. Comfort Index (higher=better): varchar(128)
    81. UV Index: varchar(128)
    82. Elevation ft.: varchar(128)
    83. School Expend.: varchar(128)
    84. Pupil/Teacher Ratio: varchar(128)
    85. Students per Librarian: varchar(128)
    86. Students per Counselor: varchar(128)
    87. 2 yr College Grad.: varchar(128)
    88. 4 yr College Grad.: varchar(128)
    89. Graduate Degrees: varchar(128)
    90. High School Grads.: varchar(128)
    91. Commute Time: varchar(128)
    92. Auto (alone): varchar(128)
    93. Carpool: varchar(128)
    94. Mass Transit: varchar(128)
    95. Work at Home: varchar(128)
    96. Commute Less Than 15 min.: varchar(128)
    97. Commute 15 to 29 min.: varchar(128)
    98. Commute 30 to 44 min.: varchar(128)
    99. Commute 45 to 59 min.: varchar(128)
    100. Commute greater than 60 min.: varchar(128)
    101. Overall: varchar(128)
    102. Food: varchar(128)
    103. Utilities: varchar(128)
    104. Miscellaneous: varchar(128)
    105. Percent Religious: varchar(128)
    106. Catholic: varchar(128)
    107. Protestant: varchar(128)
    108. LDS: varchar(128)
    109. Baptist: varchar(128)
    110. Episcopalian: varchar(128)
    111. Pentecostal: varchar(128)
    112. Lutheran: varchar(128)
    113. Methodist: varchar(128)
    114. Presbyterian: varchar(128)
    115. Other Christian: varchar(128)
    116. Jewish: varchar(128)
    117. Eastern: varchar(128)
    118. Islam: varchar(128)
    119. Democrat: varchar(128)
    120. Republican: varchar(128)
    121. Independent Other: varchar(128)
  • dictionary
    Records:116

    Data dictionary of all the 116 statistic columns.

    Data fields

    1. id: int(11)
    2. term: varchar(255)
    3. slug: varchar(255)
    4. title: varchar(255)
    5. definition: text
  • state
    Records:51

    All the 116 statistics data for each of the states on state level across US.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. abbreviation: char(2)
    4. Population: varchar(128)
    5. Pop. Density: varchar(128)
    6. Pop. Change: varchar(128)
    7. Median Age: varchar(128)
    8. Households: varchar(128)
    9. Household Size: varchar(128)
    10. Male Population: varchar(128)
    11. Female Population: varchar(128)
    12. Married Population: varchar(128)
    13. Single Population: varchar(128)
    14. Air Quality (100=best): varchar(128)
    15. Water Quality (100=best): varchar(128)
    16. Superfund Sites (100=best): varchar(128)
    17. Physicians per 100k: varchar(128)
    18. Unemployment Rate: varchar(128)
    19. Recent Job Growth: varchar(128)
    20. Future Job Growth: varchar(128)
    21. Sales Taxes: varchar(128)
    22. Income Taxes: varchar(128)
    23. Income per Cap.: varchar(128)
    24. Household Income: varchar(128)
    25. Income Less Than 15K: varchar(128)
    26. Income between 15K and 25K: varchar(128)
    27. Income between 25K and 35K: varchar(128)
    28. Income between 35K and 50K: varchar(128)
    29. Income between 50K and 75K: varchar(128)
    30. Income between 75K and 100K: varchar(128)
    31. Income between 100K and 150K: varchar(128)
    32. Income between 150K and 250K: varchar(128)
    33. Income between 250K and 500K: varchar(128)
    34. Income greater than 500K: varchar(128)
    35. Management, Business, and Financial Operations: varchar(128)
    36. Professional and Related Occupations: varchar(128)
    37. Service: varchar(128)
    38. Sales and Office: varchar(128)
    39. Farming, Fishing, and Forestry: varchar(128)
    40. Construction, Extraction, and Maintenance: varchar(128)
    41. Production, Transportation, and Material Moving: varchar(128)
    42. Median Home Age: varchar(128)
    43. Median Home Cost: varchar(128)
    44. Home Appreciation: varchar(128)
    45. Homes Owned: varchar(128)
    46. Housing Vacant: varchar(128)
    47. Homes Rented: varchar(128)
    48. Property Tax Rate: varchar(128)
    49. Less Than $20,000: varchar(128)
    50. $20,000 to $39,999: varchar(128)
    51. $40,000 to $59,999: varchar(128)
    52. $60,000 to $79,999: varchar(128)
    53. $80,000 to $99,999: varchar(128)
    54. $100,000 to $149,999: varchar(128)
    55. $150,000 to $199,999: varchar(128)
    56. $200,000 to $299,999: varchar(128)
    57. $300,000 to $399,999: varchar(128)
    58. $400,000 to $499,999: varchar(128)
    59. $500,000 to $749,999: varchar(128)
    60. $1,000,000 or more: varchar(128)
    61. 1999 to October 2005: varchar(128)
    62. 1995 to 1998: varchar(128)
    63. 1990 to 1994: varchar(128)
    64. 1980 to 1989: varchar(128)
    65. 1970 to 1979: varchar(128)
    66. 1960 to 1969: varchar(128)
    67. 1950 to 1959: varchar(128)
    68. 1940 to 1949: varchar(128)
    69. 1939 or Earlier: varchar(128)
    70. Violent Crime: varchar(128)
    71. Property Crime: varchar(128)
    72. Rainfall (in.): varchar(128)
    73. Snowfall (in.): varchar(128)
    74. Precipitation Days: varchar(128)
    75. Sunny Days: varchar(128)
    76. Avg. July High: varchar(128)
    77. Avg. Jan. Low: varchar(128)
    78. Comfort Index (higher=better): varchar(128)
    79. UV Index: varchar(128)
    80. Elevation ft.: varchar(128)
    81. School Expend.: varchar(128)
    82. Pupil/Teacher Ratio: varchar(128)
    83. Students per Librarian: varchar(128)
    84. Students per Counselor: varchar(128)
    85. 2 yr College Grad.: varchar(128)
    86. 4 yr College Grad.: varchar(128)
    87. Graduate Degrees: varchar(128)
    88. High School Grads.: varchar(128)
    89. Commute Time: varchar(128)
    90. Auto (alone): varchar(128)
    91. Carpool: varchar(128)
    92. Mass Transit: varchar(128)
    93. Work at Home: varchar(128)
    94. Commute Less Than 15 min.: varchar(128)
    95. Commute 15 to 29 min.: varchar(128)
    96. Commute 30 to 44 min.: varchar(128)
    97. Commute 45 to 59 min.: varchar(128)
    98. Commute greater than 60 min.: varchar(128)
    99. Overall: varchar(128)
    100. Food: varchar(128)
    101. Utilities: varchar(128)
    102. Miscellaneous: varchar(128)
    103. Percent Religious: varchar(128)
    104. Catholic: varchar(128)
    105. Protestant: varchar(128)
    106. LDS: varchar(128)
    107. Baptist: varchar(128)
    108. Episcopalian: varchar(128)
    109. Pentecostal: varchar(128)
    110. Lutheran: varchar(128)
    111. Methodist: varchar(128)
    112. Presbyterian: varchar(128)
    113. Other Christian: varchar(128)
    114. Jewish: varchar(128)
    115. Eastern: varchar(128)
    116. Islam: varchar(128)
    117. Democrat: varchar(128)
    118. Republican: varchar(128)
    119. Independent Other: varchar(128)
  • usa
    Records:1

    All the 116 statistics data on the nation level of US.

    Data fields

    1. id: int(11)
    2. title: varchar(255)
    3. abbreviation: char(2)
    4. Population: varchar(128)
    5. Pop. Density: varchar(128)
    6. Pop. Change: varchar(128)
    7. Median Age: varchar(128)
    8. Households: varchar(128)
    9. Household Size: varchar(128)
    10. Male Population: varchar(128)
    11. Female Population: varchar(128)
    12. Married Population: varchar(128)
    13. Single Population: varchar(128)
    14. Air Quality (100=best): varchar(128)
    15. Water Quality (100=best): varchar(128)
    16. Superfund Sites (100=best): varchar(128)
    17. Physicians per 100k: varchar(128)
    18. Unemployment Rate: varchar(128)
    19. Recent Job Growth: varchar(128)
    20. Future Job Growth: varchar(128)
    21. Sales Taxes: varchar(128)
    22. Income Taxes: varchar(128)
    23. Income per Cap.: varchar(128)
    24. Household Income: varchar(128)
    25. Income Less Than 15K: varchar(128)
    26. Income between 15K and 25K: varchar(128)
    27. Income between 25K and 35K: varchar(128)
    28. Income between 35K and 50K: varchar(128)
    29. Income between 50K and 75K: varchar(128)
    30. Income between 75K and 100K: varchar(128)
    31. Income between 100K and 150K: varchar(128)
    32. Income between 150K and 250K: varchar(128)
    33. Income between 250K and 500K: varchar(128)
    34. Income greater than 500K: varchar(128)
    35. Management, Business, and Financial Operations: varchar(128)
    36. Professional and Related Occupations: varchar(128)
    37. Service: varchar(128)
    38. Sales and Office: varchar(128)
    39. Farming, Fishing, and Forestry: varchar(128)
    40. Construction, Extraction, and Maintenance: varchar(128)
    41. Production, Transportation, and Material Moving: varchar(128)
    42. Median Home Age: varchar(128)
    43. Median Home Cost: varchar(128)
    44. Home Appreciation: varchar(128)
    45. Homes Owned: varchar(128)
    46. Housing Vacant: varchar(128)
    47. Homes Rented: varchar(128)
    48. Property Tax Rate: varchar(128)
    49. Less Than $20,000: varchar(128)
    50. $20,000 to $39,999: varchar(128)
    51. $40,000 to $59,999: varchar(128)
    52. $60,000 to $79,999: varchar(128)
    53. $80,000 to $99,999: varchar(128)
    54. $100,000 to $149,999: varchar(128)
    55. $150,000 to $199,999: varchar(128)
    56. $200,000 to $299,999: varchar(128)
    57. $300,000 to $399,999: varchar(128)
    58. $400,000 to $499,999: varchar(128)
    59. $500,000 to $749,999: varchar(128)
    60. $1,000,000 or more: varchar(128)
    61. 1999 to October 2005: varchar(128)
    62. 1995 to 1998: varchar(128)
    63. 1990 to 1994: varchar(128)
    64. 1980 to 1989: varchar(128)
    65. 1970 to 1979: varchar(128)
    66. 1960 to 1969: varchar(128)
    67. 1950 to 1959: varchar(128)
    68. 1940 to 1949: varchar(128)
    69. 1939 or Earlier: varchar(128)
    70. Violent Crime: varchar(128)
    71. Property Crime: varchar(128)
    72. Rainfall (in.): varchar(128)
    73. Snowfall (in.): varchar(128)
    74. Precipitation Days: varchar(128)
    75. Sunny Days: varchar(128)
    76. Avg. July High: varchar(128)
    77. Avg. Jan. Low: varchar(128)
    78. Comfort Index (higher=better): varchar(128)
    79. UV Index: varchar(128)
    80. Elevation ft.: varchar(128)
    81. School Expend.: varchar(128)
    82. Pupil/Teacher Ratio: varchar(128)
    83. Students per Librarian: varchar(128)
    84. Students per Counselor: varchar(128)
    85. 2 yr College Grad.: varchar(128)
    86. 4 yr College Grad.: varchar(128)
    87. Graduate Degrees: varchar(128)
    88. High School Grads.: varchar(128)
    89. Commute Time: varchar(128)
    90. Auto (alone): varchar(128)
    91. Carpool: varchar(128)
    92. Mass Transit: varchar(128)
    93. Work at Home: varchar(128)
    94. Commute Less Than 15 min.: varchar(128)
    95. Commute 15 to 29 min.: varchar(128)
    96. Commute 30 to 44 min.: varchar(128)
    97. Commute 45 to 59 min.: varchar(128)
    98. Commute greater than 60 min.: varchar(128)
    99. Overall: varchar(128)
    100. Food: varchar(128)
    101. Utilities: varchar(128)
    102. Miscellaneous: varchar(128)
    103. Percent Religious: varchar(128)
    104. Catholic: varchar(128)
    105. Protestant: varchar(128)
    106. LDS: varchar(128)
    107. Baptist: varchar(128)
    108. Episcopalian: varchar(128)
    109. Pentecostal: varchar(128)
    110. Lutheran: varchar(128)
    111. Methodist: varchar(128)
    112. Presbyterian: varchar(128)
    113. Other Christian: varchar(128)
    114. Jewish: varchar(128)
    115. Eastern: varchar(128)
    116. Islam: varchar(128)
    117. Democrat: varchar(128)
    118. Republican: varchar(128)
    119. Independent Other: varchar(128)

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Prospective Applications / Implementations:

  • City geographic / demographic data site
  • City-related guides
  • City data and stats lookup / search engine
  • National / city / local information site

Other Available Formats:

Some of these formats are available on extra charge, depending on the database.

  • Plain CSV
  • CSV for Microsoft Excel
  • Microsoft Excel .XLS file (2008, 2007, 2003, 2000)
  • Microsoft Word .DOC file (2008, 2007, 2003, 2000)
  • LaTeX
  • Open Document Spreadsheet
  • Open Document Text
  • PDF
  • XML
  • YAML
  • WordPress Category / Post Database
  • Single Table Format

As we frequently enhance our databases for sale, make sure you revisit once in a while to stay updated of the databases you have purchased. Simply by clicking through the URL we sent to you, you can download updated versions free.