Miami-Dade County, Florida · HUD 2027 QCT list

Qualified census tracts in Miami-Dade County, Florida (2027)

164 census tracts in Miami-Dade County are qualified census tracts on HUD's 2027 list, home to 681,396 people in the 2020 Census. A LIHTC building in one can take 130% of eligible basis for allocations and bond issues after December 31, 2026. Separately, 46 ZIP code areas in the Miami-Miami Beach-Kendall, FL HUD Metro FMR Area are 2027 Small Area DDAs.

1642027 qualified census tracts
681,396people in them (2020 Census)
54with a poverty rate of 25% or more (2020-2024 ACS)
61holding a monitored LIHTC property

Tract list

Click a column to sort. A tract's 11-digit GEOID is the county code 12086 followed by the tract number as six digits (tract 92.04 is 009204).
Census tractPopulationPoverty rateMedian household incomeLIHTC properties
1.261,930n/a$34,5141
1.273,30616.7%$66,4940
1.324,888n/a$55,3770
2.044,602n/a$63,4490
2.065,297n/a$54,4400
2.113,171n/a$62,6340
2.125,23419.5%$49,0241
2.183,403n/a$53,9580
2.194,407n/a$51,6460
2.244,61018.9%$54,8331
2.272,644n/a$54,3950
2.282,860n/a$65,0380
3.065,01729.1%$46,9870
3.113,693n/a$39,7160
4.023,67021%$44,6250
4.054,43329%$57,8390
4.086,37624.4%$41,2000
4.145,01640.6%$52,8953
4.164,45524.8%$36,4841
4.174,10023.4%$46,1700
4.182,81831.8%$38,3420
5.044,68916.3%$58,1051
5.055,44116.3%$59,3601
5.084,11738.7%$29,8962
6.074,80012.2%$50,7550
6.093,42919.4%$44,0280
6.102,73618%$63,6170
6.112,986n/a$56,2290
7.054,87018.4%$52,2780
7.105,13323.5%$44,5130
7.116,30916.2%$44,7690
7.122,36222.9%$45,1760
7.144,52815.9%$46,9220
7.191,45029.8%$38,6900
7.203,92220.6%$43,2330
8.044,45121.2%$55,3550
8.055,634n/a$59,4790
8.064,55723.3%$44,8680
8.073,63224.8%$37,2360
8.084,04420%$45,3800
9.033,469n/a$34,9433
10.047,409n/a$51,5026
10.052,10726.8%$31,2500
10.064,575n/a$38,5270
10.082,94124.7%$51,8611
14.014,71337.8%$32,3852
15.013,02249.7%$27,0980
15.024,31427.6%$38,3801
16.053,96828.3%$31,9720
16.064,42926.2%$36,4671
17.014,363n/a$46,7710
17.023,814n/a$45,8145
18.013,92428.6%$42,7861
18.024,144n/a$43,8830
18.033,30741.2%$20,1034
19.044,59629.4%$38,2616
20.013,64747.2%$22,7400
20.033,45342.5%$35,4793
20.042,49725.6%$35,7420
22.013,125n/a$65,8930
22.024,725n/a$55,0690
235,28725.7%$52,5610
24.025,55419.5%$50,9772
24.034,19227.4%$46,6982
24.045,39429.1%$19,3947
25.015,45929.6%$32,4312
25.023,38833.9%$46,2501
281,26939.1%$45,3240
295,45043%$43,7503
30.013,155n/a$42,1673
30.045,03034.1%$38,9294
314,65437.2%$44,0713
343,04233.1%$43,7166
36.032,041n/a$57,9310
36.053,43335.8%$33,9202
36.062,00738.5%$29,1077
39.091,57318.4%$53,2031
39.114,076n/a$62,1030
39.144,243n/a$55,9320
41.031,92429.7%$39,8170
44.032,67121.4%$41,8710
44.041,86833.4%$36,0941
44.053,03018%$49,7591
49.013,29120%$65,7210
51.024,12734.4%$35,6652
51.032,52122.2%$39,9361
51.044,25029.7%$34,9200
52.015,58022.5%$40,0612
52.025,245n/a$42,6690
53.033,64722.2%$39,9601
53.044,32125.2%$38,5450
53.053,28339.8%$29,9551
54.053,496n/a$59,8310
54.063,96120.4%$46,9970
54.072,53524.5%$39,3170
54.093,73841%$23,2770
54.103,31852.3%$26,6740
55.033,33122.4%$46,7190
55.043,652n/a$67,0830
55.062,86422.1%$56,6880
57.015,94719.5%$61,1310
57.053,68019.3%$40,7430
57.064,21324.8%$55,1281
57.086,02213.9%$46,8940
59.035,14116.1%$61,0270
59.045,653n/a$63,1820
63.033,86521.4%$46,2321
63.043,04523.4%$48,5530
64.013,24018.1%$52,6811
64.023,79217.9%$76,5000
66.032,14627.2%$41,8582
70.063,473n/a$61,7570
76.033,95921.2%$46,5662
83.094,83221.7%$44,7790
83.123,32520.8%$69,1391
84.305,34617.1%$58,1310
84.312,60639.2%n/a0
88.054,99919.2%$61,1820
89.074,58313.6%$46,8640
90.156,85616.5%$55,8850
90.214,45914.6%$57,1560
90.305,15713.1%$59,6761
90.613,25032.2%$40,3240
91.023,84215.7%$44,4550
93.143,84519.5%$42,9060
93.153,50726.9%$31,5000
93.204,26532.2%$45,7780
93.223,557n/a$39,0970
93.244,62019.9%$49,3270
97.064,05818.8%$55,5000
98.112,65623.4%$34,2051
100.104,79412.6%$54,9131
100.154,32117.4%$60,2500
100.193,921n/a$60,3470
100.203,76316.9%$58,6720
100.232,24735.7%$45,7242
100.262,61833.5%$39,9530
102.074,46728.6%$38,2292
102.084,76820.1%$53,8710
102.134,60627.1%$50,3375
105.016,21620.4%$47,4823
106.095,63625.3%$47,5694
107.086,46515.4%$59,8490
108.047,33733.1%$45,5105
108.055,23729.7%$36,4273
1096,78333.9%$33,6296
110.105,50919.2%$45,2564
110.114,675n/a$50,7721
110.122,710n/a$55,6000
110.133,22924.6%$63,2810
111.045,65427.2%$36,6352
112.054,11216.8%$62,0501
113.026,36242.5%$29,0165
114.095,64222.5%$81,0240
120.013,143n/a$55,5300
1344,97021.3%$40,2500
1365,61414.1%$49,2470
1376,67814.5%$50,5810
138.023,90128%$30,1770
1486,253n/a$51,4660
1705,06718.7%$61,0490
1753,74513.8%$55,5920
1786,06316.9%$56,0110
2025,489n/a$83,8100

Source: HUD 2027 QCT data file (qct_data_2027.xlsx), the tract figures HUD published with the 2027 list (population: 2020 Census; poverty rate and median household income: 2020-2024 ACS 5-year estimates, blank where HUD's file is blank). LIHTC properties: monitored properties in HUD's LIHTC database (LIHTCPUB, revised May 28, 2026). Designations: FR Doc. 2026-20390.

Changes from 2026: 21 tracts are new for 2027 (1.27, 2.04, 7.20, 10.08, 20.01, 22.01, 30.01, 54.06, 55.03, 55.04, 57.06, 64.02, 83.12, 90.15, 93.22, 98.11, 100.20, 111.04, 114.09, 138.02, 170); 19 dropped off since 2026 (1.09, 2.22, 4.10, 4.11, 4.13, 10.03, 14.02, 19.01, 19.03, 30.06, 36.07, 39.13, 90.26, 90.31, 100.24, 114.07, 120.02, 171.01, 176). All 2027 changes.

How HUD picks these tracts

A tract qualifies when at least half of its households earn under 60% of area median gross income, or its poverty rate is 25% or more. HUD cannot designate more than 20% of a metro or nonmetro area's population, so it ranks eligible tracts and some that pass the tests miss the list. That is why a tract in this county with a high poverty rate may not appear here. The 2027 designations take effect for buildings whose credits are allocated, or whose bonds are issued, after December 31, 2026; a site that drops off a later list keeps its status if a complete application was filed before the new list took effect and credits are allocated within 730 days of that filing (HUD notice, FR Doc. 2026-20390, section VII).

Census tract boundaries do not follow streets you can see, so confirm a site with the address lookup, which returns the tract from the Census geocoder.

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