Free Parcel Data

West Virginia Putnam County

Field dictionary

GEOID54079
Aged

65 attribute fields, profiled from the December 2018 vintage.

Columns in Putnam County

Field Type Filled Distinct Example values
OGC_FID OFTInteger64 100% 35.1k 1, 2, 3
OBJECTID OFTInteger64 100% 35.1k 39474, 39475, 39478
DIST OFTString 100% 16 04, 04, 04
MAP OFTString 100% 353 300, 300, 300
PID OFTString 100% 2.7k 1, 1.1, 4
PARID OFTString 100% 35.1k 04 300000100000000, 04 300000100010000, 04 300000400000000
COMMENTS OFTString 0%
DISTMAP OFTString 100% 454 04-300, 04-300, 04-300
ACRES OFTReal 100% 9.6k 100.0, 2.43, 130.08
DUP OFTInteger64 0%
DATEMODIFI OFTString 0%
FLOATER OFTInteger64 0%
INSERTMAP OFTInteger64 0%
IASACRES OFTReal 0%
NEIGHBORHO OFTString 100% 340 0220, 0220, 0220
ORIG_FID OFTInteger64 0%
ROUNDSHAPE OFTString 0%
OWNER OFTString 100% 23.9k SHAMBER FORREST LLC, ARNOLD R CURTIS, MIKE ROSS INC
OWNER2 OFTString 7% 1.0k HUNTINGTON, PHY: 2288 BIG CREEK RD, HUNTINGTON
PARCELADDR OFTString 100% 21.6k BIG CRK, 1 SHAMBER FOREST, 75 BIG CRK
OWNERADDRE OFTString 100% 20.6k 417 ST, 1 SHAMBER FOREST, BOX 219
OWNERCITY OFTString 100% 734 SOUTH CHARLESTON, HAMLIN, COALTON
OWNERSTATE OFTString 100% 48 WV, WV, WV
OWNERZIP OFTString 100% 910 25303, 25523, 26257
DEEDBOOK OFTString 100% 707 550, 443, 521
DEEDPAGE OFTString 100% 1.0k 239, 605, 804
LEGAL OFTString 100% 33.5k 97.57 AC BIG CRK, 2.43 ACRES, 105.08 AC & 25 AC BIG HURRI-
LEGAL2 OFTString 22% 3.5k CANE CRK, CRK OF TRACE FORK, MUD RIVER
PROPERTYCL OFTString 100% 6 F, R, F
LANDUSE OFTString 100% 96 112, 101, 112
ASSLAND OFTReal 100% 1.9k 10440.0, 12180.0, 53640.0
ASSBLDG OFTReal 100% 4.1k 0.0, 175440.0, 10200.0
APPRLAND OFTReal 100% 1.9k 17400.0, 20300.0, 89400.0
APPRBLDG OFTReal 100% 4.1k 0.0, 292400.0, 17000.0
PHOTOSTR OFTString 66% 220 (1).jpg~.jpg, (3).jpg, (2).jpg~ (3).jpg
YEARBUILT OFTString 100% 481 N/A~, 2001~, 1940~
LIVINGUNIT OFTString 100% 23 0, 1, 1
SFLA OFTString 100% 3.8k N/A~, 3186~, 1268~
GFLA OFTString 100% 2.5k N/A~, 966~, 980~
STORIES OFTString 100% 22 N/A~, 1~, 1~
SALEPRICE OFTString 0%
SALEDATE OFTString 0%
BUYER OFTString 0%
SELLER OFTString 0%
SALESDBPG OFTString 0%
BUILDSTYLE OFTString 100% 107 N/A~, 12~, 15~
EXTWALLS OFTString 100% 61 N/A~, 01~, 01~
ROOMS OFTString 100% 103 N/A~, 5~, 6~
BEDROOMS OFTString 100% 61 N/A~, 2~, 2~
FULLBATHS OFTString 100% 46 N/A~, 1~, 1~
HALFBATHS OFTString 100% 34 N/A~, 1~, N/A~
BASEMENT OFTString 100% 33 N/A~, 4~, 1~
ATTIC OFTString 100% 25 N/A~, 1~, 1~
HEATTYPE OFTString 100% 34 N/A~, 1~, N/A~
HEATSYSTEM OFTString 100% 33 N/A~, 4~, 1~
FUELTYPE OFTString 100% 25 N/A~, 1~, 1~
TAXCLASS OFTString 100% 3 2, 2, 2
CARDS OFTString 100% 19 N/A~, 1~, 1~
DIGMAPCARD OFTString 29% 10.1k H3 LLC~4.70 AC ~555~323~11/30/2016 12:00:00 AM~0.0000~|, BIRD ANNA~50 ACRES~WB55~288~9/26/2013 12:00:00 AM~0.0000~|, ROOPER MARK~0.25 ACRE~557~921~4/1/2017 12:00:00 AM~0.0000~|
OBY OFTString 40% 11.6k AP1~1950~28~36~1008~1~5840~|AL1~1950~16~30~480~1~2140~|, RS1~1976~12~20~240~1~1550~|RG1~2003~20~40~800~1~7120~|, RG1~2003~22~22~484~1~4980~|AL1~2004~8~22~176~1~780~|
SHAPE_LENG OFTReal 100% 35.1k 4067.12987047022, 612.289842092394, 4501.37407589273
SHAPE_AREA OFTReal 100% 35.1k 651400.157180873, 15986.7153323132, 873705.329189157
SALES OFTString 67% 21.9k 1995-10-01 00:00:00~110000~4~2~1~N/A~N/A~N/A~N/A~|, 1983-05-01 00:00:00~1000~4~1~0~N/A~N/A~N/A~N/A~|, 1987-06-01 00:00:00~40000~3~2~0~N/A~N/A~N/A~N/A~|
SCALE OFTReal 100% 2 4800.0, 4800.0, 4800.0
MAPCARDSTR OFTString 89% 42 -1.jpg~-Att-01.jpg, -1.jpg, -1.jpg~-2.jpg

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.