Free Parcel Data

Mississippi Hinds County

Field dictionary

GEOID28049
Aged

73 attribute fields, profiled from the April 2022 vintage.

Columns in Hinds County

Field Type Filled Distinct Example values
objectid_1 OFTInteger 100% 50.0k 2625, 24347, 24838
dpin OFTString 100% 50.0k 049670000958000000, 049680000004000000, 049680000010000000
acres_gis OFTReal 100% 50.0k 296.690875, 213.756739, 38.844047
objectid OFTInteger 99% 50.0k 109383, 109442, 109450
mapref OFTString 99% 50.0k 199000000003000300, 214000000001000100, 214000000002000300
map1 OFTString 99% 1.1k 199.00, 214.00, 214.00
map2 OFTString 99% 10 3, 1, 2
map3 OFTString 99% 4.1k 3.00, 1.00, 3.00
parcel OFTString 99% 50.0k 049670000958000000, 049680000004000000, 049680000010000000
parcel_f OFTString 99% 50.0k 4967-958, 4968-4, 4968-10
name1 OFTString 99% 50.0k JMBS LP, JMBS LP, BUCKS REVENGE LLC
name2 OFTString 4% 3.1k PICKETT STEVEN W, PICKETT STEVEN W, NEDIA C ROS
chsub1 OFTString 71% 2.6k 2381, 2385, 2383
chsub2 OFTString 0% 217 2313, 2313, 2291
chsub_str OFTString 27% 58 STR, STR, STR
tax_dist OFTString 99% 48 13, 13, 13
he_1 OFTString 40% 45.3k 192055, 232186, 216202
he_2 OFTString 0% 18 229846, 223748, 233352
he_3 OFTString 0% —
loc_num OFTString 72% 8.1k 1677, 1703, 1031
loc_apt OFTString 2% 159 A, A, A
loc_ns OFTString 8% 15 S, S, S
loc_alpha OFTString 99% 4.5k BEN RICHEY RD, BEN RICHEY RD, PAUL GALLOWS RD
tv_land OFTString 92% 6.8k 89490, 67240, 7520
tv_imp OFTString 71% 20.8k 66310, 50150, 1930
ass_land OFTString 92% 7.8k 13424, 10087, 1128
ass_imp OFTString 71% 21.9k 9947, 7523, 290
sales_date OFTString 99% 3.9k 00000000, 00000000, 00000000
sales_amt OFTString 17% 3.9k 56000, 7500, 2000
acres_c OFTString 99% 2.9k 6.10, .21, .00
acres_uc OFTString 99% 3.8k 474.40, 351.79, 40.00
lv_line_no OFTString 99% 3 1, 1, 1
lv_use_cod OFTString 99% 336 8990, 8990, 8990
lv_land_ty OFTString 91% 3 A, A, A
lv_land_de OFTString 18% 40 G5, G5, TA
lv_line__1 OFTString 11% 3 2, 2, 2
lv_use_c_1 OFTString 11% 53 8990, 8990, 8990
lv_land__1 OFTString 11% 4 A, A, A
lv_land__2 OFTString 11% 16 TA, TA, TB
lv_line__2 OFTString 9% 5 3, 3, 3
lv_use_c_2 OFTString 9% 22 8990, 8990, 8990
lv_land__3 OFTString 9% 2 A, A, A
lv_land__4 OFTString 9% 10 TB, TB, TB
lv_line__3 OFTString 6% 6 4, 4, 4
lv_use_c_3 OFTString 6% 18 8990, 8990, 8990
lv_land__5 OFTString 6% 1 A, A, A
lv_land__6 OFTString 6% 9 TB, TB, TB
lv_line__4 OFTString 3% 6 5, 5, 5
lv_use_c_4 OFTString 3% 11 8990, 8990, 8990
lv_land__7 OFTString 3% 1 A, A, A
lv_land__8 OFTString 3% 7 TA, TB, TB
lv_line__5 OFTString 1% 6 6, 6, 6
lv_use_c_5 OFTString 1% 10 8990, 8990, 8990
lv_land__9 OFTString 1% 1 A, A, A
lv_land_10 OFTString 1% 6 TB, TB, TB
lv_line__6 OFTString 0% 6 7, 7, 7
lv_use_c_6 OFTString 0% 4 8990, 8990, 8990
lv_land_11 OFTString 0% 1 A, A, A
lv_land_12 OFTString 0% 5 TB, TB, TC
lv_line__7 OFTString 0% 5 8, 8, 8
lv_use_c_7 OFTString 0% 3 8990, 8990, 8990
lv_land_13 OFTString 0% 1 A, A, A
lv_land_14 OFTString 0% 4 TE, TE, TE
bm_bld_typ OFTString 73% 105 RES, RES, MH
bm_bld_cla OFTString 70% 54 H/D+, H/D, H/D
bm_base_ar OFTString 73% 5.7k 1966, 1676, 624
bm_adj_are OFTString 73% 7.1k 2254, 1967, 624
bm_cond OFTString 0% —
bm_year OFTString 73% 208 1976, 1972, 1972
print_ OFTString 100% 50.0k http://apps.agdmaps.com/print/ms/hinds/index.html?parcel=, http://apps.agdmaps.com/print/ms/hinds/index.html?parcel=, http://apps.agdmaps.com/print/ms/hinds/index.html?parcel=
address OFTString 99% 50.0k BEN RICHEY RD, BEN RICHEY RD, PAUL GALLOWS RD
shape__are OFTReal 100% 50.0k 12923854.531738, 9311243.563477, 1692046.69458
shape__len OFTReal 100% 50.0k 15397.475743, 17870.794628, 5205.20733

Why this differs from the next county over

There is no national parcel schema. Every assessor's office built its own, usually decades ago, usually inside whatever CAMA system it bought at the time. One county's owner column is OWNER_NAME, the next one's is own1, and a third splits it across four fields. Shapefile's ten-character DBF limit truncated a generation of them into things like TOTLNDVAL.

Nothing here is renamed or remapped. The columns above are exactly what is in the file, because a normalisation layer that quietly guesses wrong is worse than no normalisation at all — and every guess it makes is one you cannot audit.

The Filled column is the share of rows with a real value. Placeholder text such as n/a counts as empty; a column that is 100% present but 90% placeholder is a column that will disappoint you, and the profiler treats it accordingly.