Zip Codes with the Highest Percentage of Population employed in Information Technology in Florida |
|
| Florida Report: |
Percentage of Population employed in Information Technology
|
|
| 1. | 32138 | 29.729518, -81.939136 | Grandin, Florida | 192 | 17.10 % | #70 | | 2. | 33620 | 28.062135, -82.413571 | Tampa, Florida | 2,532 | 12.50 % | #143 | | 3. | 34215 | 27.468401, -82.683289 | Cortez, Florida | 792 | 10.86 % | #216 | | 4. | 32925 | 28.234336, -80.607838 | Patrick Afb, Florida | 2,137 | 8.83 % | #419 | | 5. | 33131 | 25.760666, -80.184460 | Miami, Florida | 4,723 | 8.79 % | #426 | | 6. | 32323 | 29.879169, -84.600706 | Lanark Village, Florida | 360 | 8.69 % | #438 | | 7. | 33924 | 26.500000, -82.179588 | Captiva, Florida | 339 | 7.91 % | #577 | | 8. | 33647 | 28.126958, -82.354093 | Tampa, Florida | 26,290 | 7.80 % | #593 | | 9. | 34797 | 28.730537, -81.826702 | Yalaha, Florida | 994 | 7.63 % | #641 | | 10. | 33484 | 26.457230, -80.137519 | Delray Beach, Florida | 24,390 | 7.08 % | #802 | | 11. | 33543 | 28.204469, -82.330372 | Wesley Chapel, Florida | 12,019 | 6.91 % | #854 | | 12. | 32603 | 29.646927, -82.351445 | Gainesville, Florida | 11,539 | 6.76 % | #914 | | 13. | 33511 | 27.909778, -82.295738 | Brandon, Florida | 44,927 | 6.74 % | #931 | | 14. | 33637 | 28.045334, -82.361113 | Tampa, Florida | 12,534 | 6.53 % | #1,017 | | 15. | 33716 | 27.875060, -82.648609 | Saint Petersburg, Florida | 10,409 | 6.51 % | #1,025 | | 16. | 33178 | 25.858794, -80.384986 | Miami, Florida | 15,272 | 6.46 % | #1,051 | | 17. | 33606 | 27.941512, -82.474989 | Tampa, Florida | 14,960 | 6.39 % | #1,090 | | 18. | 33129 | 25.754485, -80.205360 | Miami, Florida | 11,100 | 6.34 % | #1,118 | | 19. | 33626 | 28.063123, -82.602722 | Tampa, Florida | 11,116 | 6.21 % | #1,175 | | 20. | 33140 | 25.817867, -80.131859 | Miami Beach, Florida | 20,240 | 5.90 % | #1,356 | | 21. | 33616 | 27.868790, -82.526338 | Tampa, Florida | 12,014 | 5.90 % | #1,359 | | 22. | 33544 | 28.269122, -82.301326 | Wesley Chapel, Florida | 7,180 | 5.88 % | #1,369 | | 23. | 32766 | 28.643576, -81.074925 | Oviedo, Florida | 7,192 | 5.68 % | #1,501 | | 24. | 32746 | 28.757325, -81.338758 | Lake Mary, Florida | 29,314 | 5.68 % | #1,502 | | 25. | 32835 | 28.528310, -81.481835 | Orlando, Florida | 31,387 | 5.61 % | #1,555 | | 26. | 34484 | 28.929073, -82.101178 | Oxford, Florida | 2,282 | 5.59 % | #1,574 | | 27. | 33624 | 28.082145, -82.522047 | Tampa, Florida | 45,065 | 5.59 % | #1,577 | | 28. | 34786 | 28.445548, -81.571162 | Windermere, Florida | 8,449 | 5.52 % | #1,619 | | 29. | 33715 | 27.635173, -82.736649 | Saint Petersburg, Florida | 7,403 | 5.50 % | #1,640 | | 30. | 33617 | 28.041551, -82.394633 | Tampa, Florida | 42,281 | 5.48 % | #1,655 | | 31. | 33762 | 27.888760, -82.663674 | Clearwater, Florida | 6,818 | 5.47 % | #1,666 | | 32. | 33433 | 26.347276, -80.159327 | Boca Raton, Florida | 40,807 | 5.44 % | #1,689 | | 33. | 33549 | 28.153574, -82.476204 | Lutz, Florida | 44,672 | 5.37 % | #1,758 | | 34. | 33432 | 26.343902, -80.082735 | Boca Raton, Florida | 17,910 | 5.36 % | #1,767 | | 35. | 33603 | 27.985618, -82.464439 | Tampa, Florida | 20,947 | 5.35 % | #1,768 | | 36. | 34639 | 28.259302, -82.458540 | Land O Lakes, Florida | 19,205 | 5.24 % | #1,886 | | 37. | 33585 | 28.756401, -82.076500 | Sumterville, Florida | 777 | 5.24 % | #1,891 | | 38. | 34434 | 28.997559, -82.449145 | Dunnellon, Florida | 4,440 | 5.23 % | #1,897 | | 39. | 32701 | 28.665893, -81.370342 | Altamonte Springs, Florida | 22,696 | 5.22 % | #1,925 | | 40. | 32102 | 29.114831, -81.560655 | Astor, Florida | 2,543 | 5.18 % | #1,967 | | 41. | 33069 | 26.233662, -80.161439 | Pompano Beach, Florida | 24,530 | 5.17 % | #1,974 | | 42. | 33132 | 25.778369, -80.175785 | Miami, Florida | 5,322 | 5.17 % | #1,981 | | 43. | 33149 | 25.716163, -80.159358 | Key Biscayne, Florida | 10,513 | 5.16 % | #1,994 | | 44. | 32821 | 28.369525, -81.473162 | Orlando, Florida | 13,930 | 5.15 % | #2,000 | | 45. | 33139 | 25.784585, -80.140417 | Miami Beach, Florida | 38,441 | 5.11 % | #2,048 | | 46. | 33185 | 25.737348, -80.437997 | Miami, Florida | 9,868 | 5.10 % | #2,061 | | 47. | 33913 | 26.514239, -81.696796 | Fort Myers, Florida | 4,233 | 5.10 % | #2,063 | | 48. | 33701 | 27.770776, -82.636320 | Saint Petersburg, Florida | 15,374 | 5.09 % | #2,071 | | 49. | 32410 | 29.944256, -85.413713 | Mexico Beach, Florida | 135 | 5.00 % | #2,174 | | 50. | 32951 | 27.962972, -80.507871 | Melbourne Beach, Florida | 10,543 | 4.99 % | #2,190 | | 51. | 33327 | 26.110800, -80.414644 | Fort Lauderdale, Florida | 13,171 | 4.98 % | #2,205 | | 52. | 33602 | 27.954679, -82.457282 | Tampa, Florida | 8,955 | 4.97 % | #2,210 | | 53. | 32751 | 28.630332, -81.361802 | Maitland, Florida | 18,114 | 4.95 % | #2,234 | | 54. | 32836 | 28.407231, -81.518953 | Orlando, Florida | 12,109 | 4.91 % | #2,284 | | 55. | 33428 | 26.356371, -80.240048 | Boca Raton, Florida | 37,682 | 4.90 % | #2,293 | | 56. | 33556 | 28.127782, -82.608046 | Odessa, Florida | 13,995 | 4.90 % | #2,294 | | 57. | 33629 | 27.922223, -82.509033 | Tampa, Florida | 22,858 | 4.89 % | #2,305 | | 58. | 33019 | 26.026605, -80.123616 | Hollywood, Florida | 17,432 | 4.87 % | #2,330 | | 59. | 33154 | 25.883362, -80.129957 | Miami Beach, Florida | 13,359 | 4.84 % | #2,363 | | 60. | 33486 | 26.347501, -80.112571 | Boca Raton, Florida | 21,967 | 4.81 % | #2,402 | | 61. | 33921 | 26.754759, -82.256777 | Boca Grande, Florida | 1,500 | 4.79 % | #2,429 | | 62. | 32779 | 28.727012, -81.415068 | Longwood, Florida | 29,345 | 4.79 % | #2,430 | | 63. | 32826 | 28.588358, -81.184561 | Orlando, Florida | 24,253 | 4.78 % | #2,448 | | 64. | 33703 | 27.817439, -82.623631 | Saint Petersburg, Florida | 25,063 | 4.76 % | #2,468 | | 65. | 33434 | 26.382712, -80.167138 | Boca Raton, Florida | 20,728 | 4.75 % | #2,484 | | 66. | 33498 | 26.396011, -80.220252 | Boca Raton, Florida | 14,501 | 4.74 % | #2,493 | | 67. | 33027 | 25.980517, -80.341556 | Hollywood, Florida | 25,471 | 4.74 % | #2,494 | | 68. | 33319 | 26.181380, -80.225807 | Fort Lauderdale, Florida | 43,015 | 4.72 % | #2,518 | | 69. | 32801 | 28.541774, -81.374351 | Orlando, Florida | 7,979 | 4.67 % | #2,598 | | 70. | 33625 | 28.071096, -82.558203 | Tampa, Florida | 20,781 | 4.66 % | #2,615 | | 71. | 32792 | 28.607474, -81.298057 | Winter Park, Florida | 50,783 | 4.65 % | #2,638 | | 72. | 32940 | 28.213468, -80.747518 | Melbourne, Florida | 19,083 | 4.64 % | #2,645 | | 73. | 33611 | 27.891345, -82.505665 | Tampa, Florida | 29,837 | 4.64 % | #2,646 | | 74. | 33301 | 26.121311, -80.128130 | Fort Lauderdale, Florida | 11,996 | 4.61 % | #2,691 | | 75. | 32256 | 30.172065, -81.471940 | Jacksonville, Florida | 29,141 | 4.59 % | #2,723 | | 76. | 33584 | 28.007232, -82.288403 | Seffner, Florida | 20,490 | 4.58 % | #2,744 | | 77. | 33496 | 26.405406, -80.157545 | Boca Raton, Florida | 20,658 | 4.56 % | #2,771 | | 78. | 33436 | 26.522294, -80.117683 | Boynton Beach, Florida | 35,683 | 4.56 % | #2,776 | | 79. | 33785 | 27.901619, -82.844659 | Indian Rocks Beach, Florida | 5,949 | 4.55 % | #2,780 | | 80. | 33172 | 25.786909, -80.361253 | Miami, Florida | 38,515 | 4.52 % | #2,832 | | 81. | 32266 | 30.317623, -81.412024 | Neptune Beach, Florida | 7,235 | 4.51 % | #2,853 | | 82. | 34450 | 28.838616, -82.240391 | Inverness, Florida | 10,194 | 4.50 % | #2,866 | | 83. | 33073 | 26.304233, -80.177883 | Pompano Beach, Florida | 20,091 | 4.49 % | #2,878 | | 84. | 33076 | 26.311845, -80.268010 | Pompano Beach, Florida | 19,710 | 4.49 % | #2,879 | | 85. | 33351 | 26.180135, -80.275092 | Fort Lauderdale, Florida | 32,464 | 4.48 % | #2,899 | | 86. | 33759 | 27.981988, -82.714164 | Clearwater, Florida | 20,071 | 4.46 % | #2,923 | | 87. | 33612 | 28.050827, -82.449573 | Tampa, Florida | 42,961 | 4.46 % | #2,926 | | 88. | 33594 | 27.917505, -82.240211 | Valrico, Florida | 47,721 | 4.45 % | #2,942 | | 89. | 32903 | 28.109471, -80.578161 | Indialantic, Florida | 12,792 | 4.44 % | #2,962 | | 90. | 33618 | 28.081826, -82.491994 | Tampa, Florida | 20,358 | 4.43 % | #2,979 | | 91. | 32803 | 28.559625, -81.347832 | Orlando, Florida | 21,280 | 4.42 % | #2,986 | | 92. | 33572 | 27.769985, -82.410047 | Apollo Beach, Florida | 7,461 | 4.42 % | #2,991 | | 93. | 32713 | 28.902604, -81.324738 | Debary, Florida | 16,485 | 4.41 % | #3,001 | | 94. | 32577 | 30.737504, -87.385630 | Molino, Florida | 4,621 | 4.41 % | #3,003 | | 95. | 32789 | 28.599974, -81.355857 | Winter Park, Florida | 23,764 | 4.40 % | #3,020 | | 96. | 32738 | 28.911971, -81.186276 | Deltona, Florida | 34,669 | 4.40 % | #3,025 | | 97. | 33133 | 25.730829, -80.242600 | Miami, Florida | 29,929 | 4.40 % | #3,026 | | 98. | 32825 | 28.509844, -81.202534 | Orlando, Florida | 43,682 | 4.38 % | #3,052 | | 99. | 33025 | 25.988210, -80.281374 | Hollywood, Florida | 46,392 | 4.38 % | #3,053 | | 100. | 32955 | 28.281582, -80.790202 | Rockledge, Florida | 26,036 | 4.38 % | #3,054 |
|
| 1-100 out of 919 total | | 1 2 3 4 5 6 ... [ Last >> ] ... [ Next >> ] |
|
|