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About this map

Income inequality on a 0-to-1 scale. 0 means every household earns the same; higher means income is concentrated among fewer households. The U.S. scores about 0.48. Lower is more equal.

Source: U.S. Census Bureau, American Community Survey 5-year estimates (2020–2024).

U.S.
0.483
Indiana
0.452
Rankings
Full list

Top and bottom zip codes in Indiana

Zip codes with 1,000+ residents

Zip codes with the most income inequality

See all
  1. 147846Cory0.721
  2. 247380Ridgeville0.617
  3. 347406Bloomington0.613
  4. 447408Bloomington0.587
  5. 546617South Bend0.581
  6. 646802Fort Wayne0.573
  7. 746407Gary0.571
  8. 847906West Lafayette0.558
  9. 946208Indianapolis0.550
  10. 1046402Gary0.544

Zip codes with the least income inequality

See all
  1. 147514Branchville0.206
  2. 247273Scipio0.273
  3. 347992Westpoint0.281
  4. 446068Sharpsville0.285
  5. 547230Deputy0.289
  6. 646791Uniondale0.294
  7. 746532Hamlet0.299
  8. 847143Memphis0.305
  9. 947227Commiskey0.305
  10. 1046166Paragon0.308

Income inequality (Gini) by county in Indiana

  1. 1Monroe County0.499
  2. 2Clay County0.496
  3. 3Wayne County0.491
  4. 4Tippecanoe County0.478
  5. 5Vigo County0.478
  6. 6Boone County0.472
  7. 7St. Joseph County0.470
  8. 8Marion County0.465
  9. 9Orange County0.464
  10. 10Vanderburgh County0.463
  11. 11Blackford County0.460
  12. 12Knox County0.459
  13. 13Lake County0.456
  14. 14Warrick County0.452
  15. 15Allen County0.449
  16. 16Grant County0.448
  17. 17Bartholomew County0.446
  18. 18Delaware County0.446
  19. 19Greene County0.445
  20. 20Steuben County0.445
  21. 21Sullivan County0.444
  22. 22Howard County0.441
  23. 23Floyd County0.440
  24. 24Madison County0.438
  25. 25Daviess County0.437
  26. 26Elkhart County0.437
  27. 27Ripley County0.437
  28. 28Decatur County0.435
  29. 29LaPorte County0.435
  30. 30Porter County0.434
  31. 31Perry County0.433
  32. 32Hamilton County0.433
  33. 33Randolph County0.433
  34. 34Scott County0.432
  35. 35Brown County0.431
  36. 36Crawford County0.431
  37. 37Fulton County0.430
  38. 38Owen County0.427
  39. 39Shelby County0.427
  40. 40Morgan County0.427
  41. 41Lawrence County0.426
  42. 42Henry County0.425
  43. 43Fayette County0.425
  44. 44Johnson County0.425
  45. 45Miami County0.423
  46. 46Wells County0.422
  47. 47Jefferson County0.422
  48. 48Pulaski County0.421
  49. 49Martin County0.420
  50. 50Wabash County0.419
  51. 51Parke County0.419
  52. 52Montgomery County0.418
  53. 53Marshall County0.418
  54. 54Union County0.417
  55. 55Franklin County0.417
  56. 56Carroll County0.415
  57. 57Fountain County0.414
  58. 58Clark County0.414
  59. 59LaGrange County0.414
  60. 60Jasper County0.414
  61. 61Dearborn County0.412
  62. 62Benton County0.412
  63. 63Gibson County0.411
  64. 64Jay County0.411
  65. 65White County0.411
  66. 66Dubois County0.410
  67. 67Pike County0.409
  68. 68Washington County0.408
  69. 69Vermillion County0.408
  70. 70Putnam County0.407
  71. 71DeKalb County0.406
  72. 72Cass County0.406
  73. 73Hancock County0.405
  74. 74Kosciusko County0.405
  75. 75Adams County0.404
  76. 76Huntington County0.403
  77. 77Jackson County0.403
  78. 78Posey County0.403
  79. 79Noble County0.402
  80. 80Starke County0.395
  81. 81Harrison County0.395
  82. 82Spencer County0.394
  83. 83Hendricks County0.392
  84. 84Whitley County0.391
  85. 85Switzerland County0.389
  86. 86Rush County0.388
  87. 87Ohio County0.387
  88. 88Newton County0.386
  89. 89Tipton County0.381
  90. 90Clinton County0.380
  91. 91Warren County0.377
  92. 92Jennings County0.374

Questions about this map

Which zip code has the highest income inequality (gini) in Indiana?

Among zip codes with at least 1,000 residents, 47846 (Cory, IN) has the highest: 0.721.

Which zip code has the lowest income inequality (gini) in Indiana?

47514 (Branchville, IN) has the lowest: 0.206.

What is the income inequality (gini) for the United States?

0.483; in Indiana it is 0.452.

Where does this data come from?

U.S. Census Bureau, American Community Survey 5-year estimates (2020–2024). Income inequality on a 0-to-1 scale. 0 means every household earns the same; higher means income is concentrated among fewer households. The U.S. scores about 0.48. Lower is more equal.

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