Local Data Search
A total of 91 results found. Show Results on Map.
| Rank | Median Household Income ▼ | Census Block Group / Population |
| 1. | $96,705 | SD1030110041 / 4,046 |
| 2. | $90,667 | SD1030110024 / 1,307 |
| 3. | $83,839 | SD1030110023 / 1,144 |
| 4. | $83,088 | SD1030110042 / 2,149 |
| 5. | $76,333 | SD1030113002 / 1,914 |
| 6. | $76,006 | SD1030108003 / 1,676 |
| 7. | $72,434 | SD1030117001 / 1,383 |
| 8. | $71,964 | SD1030110052 / 1,506 |
| 9. | $70,893 | SD1030116005 / 2,226 |
| 10. | $70,379 | SD1030113003 / 1,921 |
| 11. | $69,775 | SD1030110021 / 2,321 |
| 12. | $67,333 | SD1030109041 / 1,761 |
| 13. | $63,063 | SD1030108002 / 942 |
| 14. | $60,875 | SD0339652003 / 804 |
| 15. | $58,636 | SD0930203012 / 3,332 |
| 16. | $57,560 | SD1030110022 / 1,283 |
| 17. | $56,701 | SD1030110012 / 946 |
| 18. | $56,507 | SD0339651001 / 1,873 |
| 19. | $56,442 | SD1030109032 / 940 |
| 20. | $56,310 | SD0930203022 / 1,489 |
| 21. | $56,250 | SD0819666002 / 2,016 |
| 22. | $55,977 | SD1030109034 / 3,886 |
| 23. | $54,597 | SD1030109062 / 4,061 |
| 24. | $54,000 | SD1030112002 / 854 |
| 25. | $53,846 | SD0930202001 / 558 |
| 26. | $53,071 | SD1030114002 / 2,496 |
| 27. | $52,652 | SD1030107002 / 743 |
| 28. | $52,560 | SD1030109061 / 1,114 |
| 29. | $51,974 | SD0930203023 / 3,454 |
| 30. | $51,806 | SD1030112003 / 844 |
| 31. | $51,651 | SD0930203011 / 1,291 |
| 32. | $50,881 | SD1030109051 / 4,701 |
| 33. | $50,839 | SD1030109071 / 1,848 |
| 34. | $50,809 | SD0930204006 / 2,355 |
| 35. | $50,184 | SD1030104002 / 1,625 |
| 36. | $49,881 | SD1030116001 / 1,251 |
| 37. | $49,746 | SD1030113001 / 2,159 |
| 38. | $49,632 | SD1030110011 / 1,466 |
| 39. | $48,723 | SD1030106003 / 1,423 |
| 40. | $48,036 | SD1030107004 / 1,415 |
| 41. | $47,500 | SD0930203013 / 2,123 |
| 42. | $46,130 | SD0339651003 / 1,420 |
| 43. | $45,766 | SD1030117002 / 966 |
| 44. | $45,625 | SD1030109042 / 3,155 |
| 45. | $45,341 | SD0339652002 / 913 |
| 46. | $45,278 | SD1030116003 / 932 |
| 47. | $44,716 | SD1030110051 / 731 |
| 48. | $43,750 | SD1030116004 / 1,032 |
| 49. | $42,917 | SD0930205003 / 1,276 |
| 50. | $42,733 | SD0819661003 / 783 |
| 51. | $42,188 | SD0930205002 / 758 |
| 52. | $41,904 | SD1030112001 / 1,145 |
| 53. | $41,750 | SD1030109033 / 677 |
| 54. | $41,146 | SD0930203021 / 711 |
| 55. | $40,034 | SD1030108004 / 757 |
| 56. | $38,750 | SD1030111001 / 943 |
| 57. | $38,657 | SD0930204002 / 1,105 |
| 58. | $37,898 | SD1030111002 / 869 |
| 59. | $37,476 | SD1030116002 / 1,194 |
| 60. | $36,827 | SD0930204003 / 735 |
| 61. | $36,641 | SD1030109031 / 2,077 |
| 62. | $36,328 | SD0930204005 / 750 |
| 63. | $36,202 | SD0930205001 / 2,718 |
| 64. | $35,833 | SD1030114001 / 1,046 |
| 65. | $34,938 | SD1030106001 / 1,188 |
| 66. | $34,286 | SD1030111003 / 1,379 |
| 67. | $33,875 | SD1030104003 / 961 |
| 68. | $33,667 | SD0930204004 / 912 |
| 69. | $32,950 | SD1030104001 / 1,671 |
| 70. | $32,500 | SD1030103002 / 1,689 |
| 71. | $32,143 | SD1030107001 / 1,010 |
| 72. | $32,083 | SD1030102004 / 1,325 |
| 73. | $31,381 | SD1030106002 / 1,133 |
| 74. | $31,290 | SD1030114003 / 2,569 |
| 75. | $30,152 | SD1030105001 / 830 |
| 76. | $30,075 | SD0930204001 / 1,043 |
| 77. | $28,563 | SD1030107003 / 1,218 |
| 78. | $28,365 | SD1030105004 / 1,005 |
| 79. | $28,100 | SD1139408001 / 1,079 |
| 80. | $27,167 | SD1030103001 / 1,066 |
| 81. | $26,086 | SD1030102005 / 578 |
| 82. | $26,036 | SD1030115001 / 665 |
| 83. | $25,701 | SD1030102002 / 1,526 |
| 84. | $23,409 | SD1030108001 / 510 |
| 85. | $23,250 | SD0339652001 / 1,262 |
| 86. | $21,923 | SD1030103003 / 806 |
| 87. | $20,333 | SD1030105003 / 501 |
| 88. | $18,112 | SD1139409001 / 1,372 |
| 89. | $17,727 | SD1030105002 / 533 |
| 90. | $13,768 | SD1030102001 / 541 |
| 91. | $9,982 | SD1030102003 / 1,077 |
Please note that we only rank locations with 'Median Household Income' data. The rank above might not be a complete list. Locations without 'Median Household Income' data are not listed.
*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.