Local Data Search
A total of 41 results found. Show Results on Map.
| Rank | Median Household Income ▼ | Census Block Group / Population |
| 1. | $70,000 | CO0710008003 / 841 |
| 2. | $67,848 | CO0710008002 / 812 |
| 3. | $59,583 | NM0079506001 / 606 |
| 4. | $59,219 | NM0559521002 / 995 |
| 5. | $54,722 | NM0079507005 / 779 |
| 6. | $52,422 | NM0079506005 / 975 |
| 7. | $50,972 | CO0710002002 / 755 |
| 8. | $50,833 | CO0710004002 / 750 |
| 9. | $50,804 | CO0710003001 / 1,022 |
| 10. | $50,703 | NM0079505005 / 871 |
| 11. | $49,167 | CO0710003002 / 782 |
| 12. | $47,969 | CO0559609002 / 1,214 |
| 13. | $47,622 | NM0079506004 / 1,103 |
| 14. | $47,201 | CO0710003003 / 667 |
| 15. | $47,000 | NM0079505002 / 591 |
| 16. | $46,680 | NM0559521004 / 1,437 |
| 17. | $46,012 | NM0079507001 / 1,287 |
| 18. | $46,009 | NM0079507003 / 1,481 |
| 19. | $43,886 | NM0079506003 / 572 |
| 20. | $43,824 | CO0559609001 / 969 |
| 21. | $42,031 | CO0710001001 / 964 |
| 22. | $40,813 | NM0079506002 / 685 |
| 23. | $40,417 | CO0710005002 / 1,091 |
| 24. | $39,063 | NM0559521001 / 486 |
| 25. | $37,688 | CO0710001002 / 1,868 |
| 26. | $37,292 | CO0710002003 / 883 |
| 27. | $36,205 | NM0079507002 / 1,269 |
| 28. | $33,661 | NM0559521005 / 1,664 |
| 29. | $32,708 | NM0559401003 / 1,621 |
| 30. | $31,750 | NM0079505001 / 453 |
| 31. | $30,370 | NM0079507004 / 786 |
| 32. | $29,900 | CO0710004003 / 857 |
| 33. | $29,722 | CO0710005001 / 1,001 |
| 34. | $25,231 | NM0079505004 / 919 |
| 35. | $24,479 | NM0079505006 / 701 |
| 36. | $23,688 | CO0710001003 / 1,224 |
| 37. | $22,730 | NM0079505003 / 749 |
| 38. | $19,766 | CO0239727002 / 1,106 |
| 39. | $17,375 | CO0710004001 / 599 |
| 40. | $17,350 | CO0239727001 / 741 |
| 41. | $13,825 | CO0710002001 / 637 |
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.