Free Parcel Data

South Dakota Yankton County

Field dictionary

GEOID46135
Aged

38 attribute fields, profiled from the August 2022 vintage.

Columns in Yankton County

Field Type Filled Distinct Example values
PARCEL_ID OFTString 100% 13.4k 31.250.400.001, 31.200.001.050, 31.250.400.004
SITUS OFTString 64% 547 NORTH AVE, NORTH ST, NORTH ST
ADDR_NUMBE OFTString 8% 52 446, 446, 446
STREET_PRE OFTString 14% 7 N, N, N
STREET_NAM OFTString 64% 404 AVE, ST, ST
STREET_SUF OFTString 0% 3 W, W, N
STREET_TYP OFTString 56% 22 St, St, St
SITUS_CITY OFTString 47% 9 GAYVILLE, GAYVILLE, GAYVILLE
SITUS_ZIP OFTString 47% 9 57031, 57031, 57031
OWNER OFTString 98% 8.3k HUNSLEY JACQUELINE, KING PATRICIA L, BARTA JANE M
LAND_COVER OFTString 100% 11.6k {"21": 256, "81": 191}, {"21": 411, "22": 29}, {"22": 648}
CROP_COVER OFTString 100% 9.3k {"121": 0.21, "176": 0.07, "195": 0.08}, {"121": 0.34}, {"122": 0.25}
MUNI_ID OFTInteger64 100% 18 1267402, 1267402, 1267402
SCHOOL_DIS OFTInteger64 100% 7 4626490, 4626490, 4626490
ACREAGE OFTReal 98% 2.0k 0.0, 0.0, 0.0
ACREAGE_AD OFTReal 100% 10.0k 0.359656515989182, 0.34436095803675, 0.250674171499191
ZIP_CODE OFTString 100% 12 57031, 57031, 57031
LEGAL_DESC OFTString 98% 11.1k LOT 1 & W35' LOT 2 R, LTS 4 & 5 BLK 1, E16' LT 3 & W68' LT
LEGAL_D_01 OFTString 75% 4.4k AND B ADDITION NE4, NORTH ADDITION, 4 R AND B ADDITION
LEGAL_D_02 OFTString 22% 1.7k NW4 SECTION 12-93-54, NE4 NW4 SECTION, NW4 SECTION 12-93-54
MAIL_ADDRE OFTString 97% 7.1k PO BOX 623, PO BOX 22, PO BOX 222
MAIL_AD_01 OFTString 98% 486 GAYVILLE SD 57031, GAYVILLE SD 57031, GAYVILLE SD 57031
MAIL_NAME OFTString 3% 231 602 DAVIS ST, % BYE, PAM, %STANAGE, SALLY
CENSUS_TRA OFTInteger64 100% 5 966400, 966400, 966400
CENSUS_BLK OFTInteger 100% 5 5, 5, 5
CENSUS_BLO OFTInteger 100% 702 5068, 5067, 5068
AREA_METER OFTReal 100% 13.6k 1455.4510784233, 1393.55330839201, 1014.42342074052
FLD_ZONE OFTString 20% 15 {A}, {AE,A,AE}, {A}
ZONE_SUBTY OFTString 20% 11 {NULL}, {NULL,NULL,FLOODWAY}, {NULL}
PLACE_GNIS OFTInteger64 50% 7 1267402, 1267402, 1267402
ALT_ID_1 OFTString 98% 13.3k 8265, 8259, 8267
ELEVATION OFTString 99% 13.5k
ROBUST_ID OFTString 100% 13.6k AAC0NyyMII8gTMV-, AAC0N-OdLbe4i_o0, AAC0N0Iky0vdpr3T
CALC_ACREA OFTReal 100% 13.6k 0.359656515989182, 0.34436095803675, 0.25067417149919
COUNTY_NAM OFTString 100% 1 Yankton, Yankton, Yankton
COUNTY_FIP OFTInteger64 100% 1 46135, 46135, 46135
STATE_ABBR OFTString 100% 1 SD, SD, SD
CTY_ROW_ID OFTInteger64 100% 13.6k 10584, 8822, 10591

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.