Census Tracts are determined by the U.S. Census Bureau for calculating the decennial census. Census tracts are a subdivision of the County level and vary in size. Ideally a census tract contains a population of 4,000 people and 1,600 housing units. 209 census tracts intersect or fall within the City of Memphis boundary.
This dataset has the following 64 columns:
| Column Name | API Column Name | Data Type | Sample Values |
|---|---|---|---|
| the_geom | the_geom | multipolygon | view top 100 |
| ObjectID | objectid | number | 0 view top 100 |
| STATE_FIPS | state_fips | text | 47 28 05 view top 100 |
| CNTY_FIPS | cnty_fips | text | 157 033 047 035 view top 100 |
| STCOFIPS | stcofips | text | 47157 28033 47047 05035 view top 100 |
| TRACT | tract | text | 000100 000200 000300 000400 000600 view top 100 |
| FIPS | fips | text | 05035030600 28033070101 28033070102 28033070210 28033070411 view top 100 |
| POP2000 | pop2000 | number | 2307 2934 3182 2034 2093 view top 100 |
| POP00_SQMI | pop00_sqmi | number | 1819.5 335.1 2992.2 2946.3 4313.1 view top 100 |
| WHITE | white | number | 7 0 2168 165 47 view top 100 |
| BLACK | black | number | 3210 139 937 849 1036 view top 100 |
| AMERI_ES | ameri_es | number | 4 2 3 5 8 view top 100 |
| ASIAN | asian | number | 0 1 6 3 2 view top 100 |
| HAWN_PI | hawn_pi | number | 0 1 2 3 5 view top 100 |
| OTHER | other | number | 0 1 2 7 19 view top 100 |
| MULT_RACE | mult_race | number | 19 20 45 57 33 view top 100 |
| HISPANIC | hispanic | number | 8 0 33 178 7 view top 100 |
| MALES | males | number | 1231 2316 736 1864 2116 view top 100 |
| FEMALES | females | number | 2206 2013 2394 2042 948 view top 100 |
| AGE_UNDER5 | age_under5 | number | 0 374 173 366 290 view top 100 |
| MED_AGE | med_age | number | 29.2 34.6 32.4 39.8 34.0 view top 100 |
| MED_AGE_M | med_age_m | number | 36.5 38.1 30.0 33.0 34.7 view top 100 |
| MED_AGE_F | med_age_f | number | 35.9 36.8 29.1 40.0 37.8 view top 100 |
| HOUSEHOLDS | households | number | 1420 1229 1946 578 1 view top 100 |
| AVE_HH_SZ | ave_hh_sz | number | 2.73 2.61 2.69 2.43 2.64 view top 100 |
| HSEHLD_1_M | hsehld_1_m | number | 132 137 80 222 273 view top 100 |
| HSEHLD_1_F | hsehld_1_f | number | 139 140 195 182 1 view top 100 |
| MARHH_CHD | marhh_chd | number | 0 190 31 48 139 view top 100 |
| MARHH_NO_C | marhh_no_c | number | 0 100 40 82 284 view top 100 |
| MHH_CHILD | mhh_child | number | 75 51 16 52 30 view top 100 |
| FHH_CHILD | fhh_child | number | 0 107 188 121 16 view top 100 |
| FAMILIES | families | number | 0 1546 663 645 402 view top 100 |
| AVE_FAM_SZ | ave_fam_sz | number | 3.4 3.35 3.12 3.21 3.2 view top 100 |
| HSE_UNITS | hse_units | number | 1861 2500 1719 1254 1100 view top 100 |
| VACANT | vacant | number | 88 0 110 67 61 view top 100 |
| OWNER_OCC | owner_occ | number | 1042 0 1626 293 434 view top 100 |
| RENTER_OCC | renter_occ | number | 735 1 0 135 245 view top 100 |
| SQMI | sqmi | number | 1.65 0.47 0.55 1.6 0.74 view top 100 |
| POP2010 | pop2010 | number | 6334 3945 4026 4116 956 view top 100 |
| POP10_SQMI | pop10_sqmi | number | 0.0 0.2 9.0 28.2 41.9 view top 100 |
| AGE_5_9 | age_5_9 | number | 0 218 88 284 205 view top 100 |
| AGE_10_14 | age_10_14 | number | 0 105 176 74 278 view top 100 |
| AGE_15_19 | age_15_19 | number | 390 267 88 237 245 view top 100 |
| AGE_20_24 | age_20_24 | number | 184 277 102 174 347 view top 100 |
| AGE_25_34 | age_25_34 | number | 536 608 1191 218 471 view top 100 |
| AGE_35_44 | age_35_44 | number | 470 278 625 632 571 view top 100 |
| AGE_45_54 | age_45_54 | number | 558 395 268 364 391 view top 100 |
| AGE_55_64 | age_55_64 | number | 319 338 484 193 146 view top 100 |
| AGE_65_74 | age_65_74 | number | 141 170 261 0 153 view top 100 |
| AGE_75_84 | age_75_84 | number | 145 0 28 46 116 view top 100 |
| AGE_85_UP | age_85_up | number | 42 36 17 13 24 view top 100 |
| HILessThan | hilessthan | number | 0.0 97.0 131.0 34.0 31.0 view top 100 |
| HI10000to1 | hi10000to1 | number | 0.0 113.0 79.0 58.0 75.0 view top 100 |
| HI15000to2 | hi15000to2 | number | 0.0 196.0 108.0 101.0 275.0 view top 100 |
| HI25000to3 | hi25000to3 | number | 0.0 242.0 349.0 155.0 74.0 view top 100 |
| HI35000to4 | hi35000to4 | number | 146.0 0.0 147.0 193.0 86.0 view top 100 |
| HI50000to7 | hi50000to7 | number | 0.0 268.0 333.0 104.0 73.0 view top 100 |
| HI75000to9 | hi75000to9 | number | 0.0 34.0 387.0 188.0 10.0 view top 100 |
| HI100000to | hi100000to | number | 0.0 50.0 17.0 27.0 41.0 view top 100 |
| HI150000to | hi150000to | number | 0.0 10.0 12.0 17.0 25.0 view top 100 |
| HI200000or | hi200000or | number | 0.0 14.0 8.0 74.0 12.0 view top 100 |
| Median_Hou | median_hou | number | 0.0 32110.0 28750.0 46654.0 11544.0 view top 100 |
| Shape_Leng | shape_leng | number | 697.74328322 1725.19379806 1823.33524264 2260.8465009 2827.28164806 view top 100 |
| Shape_Area | shape_area | number | 37111204.3319 68851274.7967 72704189.7571 73484212.5546 50139060.446 view top 100 |