Zip Codes with the Highest Percentage of Apartment Buildings & Condos in the United States |
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United States Report: |
Percentage of Apartment Buildings & Condos
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1. | 10069 | 40.775551, -73.989689 | New York, New York | 1,403 | 100.00 % | #1 | 2. | 10162 | 40.769298, -73.949942 | New York, New York | 1,726 | 100.00 % | #2 | 3. | 10503 | 41.025560, -73.874987 | Ardsley On Hudson, New York | 115 | 100.00 % | #3 | 4. | 77010 | 29.754310, -95.361109 | Houston, Texas | 76 | 100.00 % | #4 | 5. | 48109 | 42.288512, -83.718004 | Ann Arbor, Michigan | 4,152 | 100.00 % | #5 | 6. | 79406 | 33.583653, -101.878651 | Lubbock, Texas | 4,470 | 100.00 % | #6 | 7. | 24142 | 37.137882, -80.550906 | Radford, Virginia | 2,755 | 100.00 % | #7 | 8. | 10280 | 40.708501, -74.016828 | New York, New York | 6,614 | 99.67 % | #8 | 9. | 10282 | 40.717017, -74.015566 | New York, New York | 1,574 | 99.25 % | #9 | 10. | 02199 | 42.347465, -71.082058 | Boston, Massachusetts | 1,005 | 99.08 % | #10 | 11. | 44503 | 41.098889, -80.648012 | Youngstown, Ohio | 998 | 98.74 % | #11 | 12. | 02142 | 42.361280, -71.083753 | Cambridge, Massachusetts | 2,258 | 98.44 % | #12 | 13. | 20004 | 38.894991, -77.029915 | Washington, District Of Columbia | 901 | 98.08 % | #13 | 14. | 10044 | 40.762050, -73.949933 | New York, New York | 9,520 | 98.00 % | #14 | 15. | 11005 | 40.756578, -73.714178 | Floral Park, New York | 2,195 | 97.85 % | #15 | 16. | 60601 | 41.885805, -87.622911 | Chicago, Illinois | 5,591 | 96.98 % | #16 | 17. | 10005 | 40.705390, -74.008988 | New York, New York | 884 | 96.88 % | #17 | 18. | 55402 | 44.975968, -93.271425 | Minneapolis, Minnesota | 176 | 96.84 % | #18 | 19. | 33131 | 25.760666, -80.184460 | Miami, Florida | 4,723 | 96.43 % | #19 | 20. | 98101 | 47.610198, -122.334555 | Seattle, Washington | 9,010 | 96.41 % | #20 | 21. | 84112 | 40.764906, -111.840937 | Salt Lake City, Utah | 1,648 | 96.37 % | #21 | 22. | 37219 | 36.166457, -86.782946 | Nashville, Tennessee | 830 | 96.37 % | #22 | 23. | 37228 | 36.196291, -86.803583 | Nashville, Tennessee | 331 | 96.09 % | #23 | 24. | 10004 | 40.691870, -74.014109 | New York, New York | 1,225 | 96.03 % | #24 | 25. | 02110 | 42.357371, -71.053180 | Boston, Massachusetts | 1,428 | 95.99 % | #25 | 26. | 60606 | 41.881988, -87.637329 | Chicago, Illinois | 1,682 | 95.95 % | #26 | 27. | 20006 | 38.897813, -77.042080 | Washington, District Of Columbia | 1,874 | 95.56 % | #27 | 28. | 98121 | 47.614743, -122.345855 | Seattle, Washington | 8,558 | 95.42 % | #28 | 29. | 94105 | 37.789168, -122.395009 | San Francisco, California | 2,058 | 95.13 % | #29 | 30. | 60611 | 41.893024, -87.618998 | Chicago, Illinois | 26,522 | 95.04 % | #30 | 31. | 97204 | 45.518775, -122.675276 | Portland, Oregon | 1,319 | 94.95 % | #31 | 32. | 02210 | 42.347682, -71.041731 | Boston, Massachusetts | 592 | 94.32 % | #32 | 33. | 90014 | 34.043144, -118.251977 | Los Angeles, California | 3,518 | 94.14 % | #33 | 34. | 60661 | 41.882458, -87.643946 | Chicago, Illinois | 4,382 | 93.90 % | #34 | 35. | 75202 | 32.778020, -96.803920 | Dallas, Texas | 1,338 | 93.69 % | #35 | 36. | 01103 | 42.104011, -72.591538 | Springfield, Massachusetts | 2,661 | 92.99 % | #36 | 37. | 53203 | 43.038491, -87.916365 | Milwaukee, Wisconsin | 335 | 92.92 % | #37 | 38. | 48226 | 42.329963, -83.051143 | Detroit, Michigan | 6,138 | 92.81 % | #38 | 39. | 10017 | 40.752292, -73.972393 | New York, New York | 16,201 | 92.40 % | #39 | 40. | 90013 | 34.044639, -118.240413 | Los Angeles, California | 9,727 | 91.73 % | #40 | 41. | 10040 | 40.858134, -73.929031 | New York, New York | 46,599 | 91.73 % | #41 | 42. | 55415 | 44.974330, -93.258639 | Minneapolis, Minnesota | 1,713 | 91.62 % | #42 | 43. | 77046 | 29.733084, -95.430659 | Houston, Texas | 471 | 91.37 % | #43 | 44. | 10475 | 40.875266, -73.826037 | Bronx, New York | 38,086 | 91.23 % | #44 | 45. | 11239 | 40.644728, -73.879186 | Brooklyn, New York | 14,620 | 90.57 % | #45 | 46. | 63102 | 38.651211, -90.185906 | Saint Louis, Missouri | 1,311 | 90.52 % | #46 | 47. | 97205 | 45.520414, -122.688800 | Portland, Oregon | 6,212 | 90.48 % | #47 | 48. | 10034 | 40.869208, -73.921929 | New York, New York | 41,756 | 90.45 % | #48 | 49. | 07310 | 40.731082, -74.038712 | Jersey City, New Jersey | 6,416 | 90.21 % | #49 | 50. | 02163 | 42.366168, -71.122850 | Boston, Massachusetts | 1,191 | 89.94 % | #50 | 51. | 10010 | 40.739122, -73.982363 | New York, New York | 26,408 | 89.22 % | #51 | 52. | 10038 | 40.709336, -74.002943 | New York, New York | 15,574 | 88.60 % | #52 | 53. | 18503 | 41.411475, -75.667131 | Scranton, Pennsylvania | 1,165 | 88.59 % | #53 | 54. | 20037 | 38.900222, -77.053925 | Washington, District Of Columbia | 12,642 | 88.53 % | #54 | 55. | 94111 | 37.801776, -122.402293 | San Francisco, California | 3,335 | 88.44 % | #55 | 56. | 10022 | 40.758615, -73.967752 | New York, New York | 30,642 | 88.27 % | #56 | 57. | 80202 | 39.752025, -104.997671 | Denver, Colorado | 4,364 | 87.74 % | #57 | 58. | 99693 | 60.314014, -148.351680 | Whittier, Alaska | 221 | 87.39 % | #58 | 59. | 55401 | 44.984334, -93.268720 | Minneapolis, Minnesota | 3,649 | 87.32 % | #59 | 60. | 10033 | 40.849124, -73.935956 | New York, New York | 58,259 | 87.16 % | #60 | 61. | 33160 | 25.937576, -80.136088 | North Miami Beach, Florida | 33,833 | 86.46 % | #61 | 62. | 10452 | 40.837763, -73.923314 | Bronx, New York | 72,138 | 86.43 % | #62 | 63. | 94104 | 37.791222, -122.402241 | San Francisco, California | 374 | 86.05 % | #63 | 64. | 14604 | 43.157078, -77.604677 | Rochester, New York | 1,683 | 86.03 % | #64 | 65. | 10016 | 40.744983, -73.978262 | New York, New York | 51,217 | 85.76 % | #65 | 66. | 15222 | 40.449245, -79.990645 | Pittsburgh, Pennsylvania | 1,999 | 85.75 % | #66 | 67. | 33132 | 25.778369, -80.175785 | Miami, Florida | 5,322 | 85.72 % | #67 | 68. | 10463 | 40.880678, -73.906540 | Bronx, New York | 65,576 | 85.69 % | #68 | 69. | 75201 | 32.787764, -96.800135 | Dallas, Texas | 3,348 | 85.62 % | #69 | 70. | 77002 | 29.756845, -95.365652 | Houston, Texas | 13,289 | 85.53 % | #70 | 71. | 10006 | 40.707970, -74.013610 | New York, New York | 1,447 | 85.40 % | #71 | 72. | 44308 | 41.081706, -81.517566 | Akron, Ohio | 904 | 85.03 % | #72 | 73. | 10037 | 40.813159, -73.937352 | New York, New York | 16,984 | 84.80 % | #73 | 74. | 10468 | 40.868093, -73.899730 | Bronx, New York | 78,309 | 84.50 % | #74 | 75. | 10019 | 40.766331, -73.985013 | New York, New York | 36,012 | 84.19 % | #75 | 76. | 30303 | 33.752717, -84.390679 | Atlanta, Georgia | 3,744 | 84.18 % | #76 | 77. | 35233 | 33.508303, -86.802129 | Birmingham, Alabama | 204 | 83.54 % | #77 | 78. | 10025 | 40.797958, -73.964917 | New York, New York | 97,086 | 83.25 % | #78 | 79. | 10451 | 40.822092, -73.922612 | Bronx, New York | 40,961 | 83.06 % | #79 | 80. | 60605 | 41.857651, -87.615592 | Chicago, Illinois | 12,423 | 82.64 % | #80 | 81. | 46204 | 39.771497, -86.156854 | Indianapolis, Indiana | 6,636 | 82.62 % | #81 | 82. | 60610 | 41.900034, -87.636967 | Chicago, Illinois | 47,513 | 82.60 % | #82 | 83. | 10021 | 40.769742, -73.961653 | New York, New York | 102,078 | 82.28 % | #83 | 84. | 10032 | 40.839194, -73.942591 | New York, New York | 63,842 | 82.23 % | #84 | 85. | 19102 | 39.953423, -75.165384 | Philadelphia, Pennsylvania | 4,396 | 81.91 % | #85 | 86. | 06901 | 41.053558, -73.538219 | Stamford, Connecticut | 6,398 | 81.88 % | #86 | 87. | 75251 | 32.919435, -96.774780 | Dallas, Texas | 1,331 | 81.01 % | #87 | 88. | 10453 | 40.852779, -73.912332 | Bronx, New York | 76,775 | 80.62 % | #88 | 89. | 78205 | 29.424470, -98.487456 | San Antonio, Texas | 1,564 | 80.54 % | #89 | 90. | 10023 | 40.775394, -73.982197 | New York, New York | 62,206 | 80.41 % | #90 | 91. | 98104 | 47.601701, -122.327670 | Seattle, Washington | 13,095 | 79.72 % | #91 | 92. | 30326 | 33.849787, -84.364521 | Atlanta, Georgia | 1,075 | 79.55 % | #92 | 93. | 20036 | 38.906919, -77.041489 | Washington, District Of Columbia | 3,808 | 79.49 % | #93 | 94. | 10001 | 40.750722, -73.997276 | New York, New York | 17,310 | 79.45 % | #94 | 95. | 63103 | 38.629877, -90.216700 | Saint Louis, Missouri | 4,603 | 79.30 % | #95 | 96. | 30346 | 33.925077, -84.338507 | Atlanta, Georgia | 1,452 | 79.27 % | #96 | 97. | 98402 | 47.251349, -122.443181 | Tacoma, Washington | 4,935 | 79.21 % | #97 | 98. | 90067 | 34.057496, -118.413959 | Los Angeles, California | 2,524 | 79.14 % | #98 | 99. | 20005 | 38.904575, -77.031552 | Washington, District Of Columbia | 10,610 | 79.14 % | #99 | 100. | 97209 | 45.529896, -122.684777 | Portland, Oregon | 8,107 | 79.03 % | #100 |
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