Free Parcel Data

West Virginia Tyler County

Field dictionary

GEOID54095
Aged

66 attribute fields, profiled from the July 2019 vintage.

Columns in Tyler County

Field Type Filled Distinct Example values
OGC_FID OFTInteger64 100% 8.9k 5933, 5934, 5935
OBJECTID OFTInteger64 100% 8.9k 1602, 1603, 1604
NEW_PID OFTString 100% 8.7k 4802 17001400000000, 4802 17001400010000, 4802 17001400020000
PID OFTString 98% 8.7k 48-02- 17-0014-0000-0000, 48-02- 17-0014-0001-0000, 48-02- 17-0014-0002-0000
CAMA_PARID OFTString 98% 8.7k 02 17001400000000, 02 17001400010000, 02 17001400020000
PIN OFTString 98% 8.6k 48-02- 17-0014-0000, 48-02- 17-0014-0001, 48-02- 17-0014-0002
PARCEL_ID OFTString 100% 6.0k 02-17-14, 02-17-14, 02-17-14
MAPCARDLIN OFTString 100% 8.7k
DDP_MATCH OFTString 98% 146 02-17, 02-17, 02-17
PIN_1 OFTString 96% 8.6k 48-02- 17-0014-0000-0000, 48-02- 17-0014-0001-0000, 48-02- 17-0014-0002-0000
CAMA_PID OFTString 96% 8.6k 4802 17001400000000, 4802 17001400010000, 4802 17001400020000
LABEL OFTString 98% 990 14, 14.1, 14.2
COUNTY OFTInteger64 100% 2 48, 48, 48
DISTRICT OFTInteger64 100% 11 2, 2, 2
MAP OFTInteger64 100% 31 17, 17, 17
PARCEL OFTInteger64 100% 276 14, 14, 14
SUB_PARCEL OFTString 96% 29 0000, 0001, 0002
SPECIAL_ID OFTString 96% 1 0000, 0000, 0000
TAX_YEAR OFTInteger64 100% 2 2017, 2017, 2017
PARID OFTInteger64 100% 1 0, 0, 0
NAME_1 OFTString 96% 6.1k TITUS WILLIAM & JULIA, LEEK SAMUEL, SHREVE SANDRA SUE
NAME_2 OFTString 30% 1.9k DALTON DONNA, FLETCHER BETTY, FRIEND LAURA LYNN
IN_CARE_OF OFTString 0%
PARCEL_ADD OFTString 92% 2.7k ELK FRK, ELK FORK RD, ELK FORK RD
OWNER_ADDR OFTString 87% 4.4k 560 KELCH HILL RD, 4475 ELK FORK RD, 143 ATWOOD CEMETARY RD
OWNER_AD_1 OFTString 0% 5 GENERAL DELIVERY, GENERAL DELIVERY, GENERAL DELIVERY
CITY OFTString 95% 576 MIDDLEBOURNE, MIDDLEBOURNE, MIDDLEBOURNE
STATE OFTString 95% 43 WV, WV, WV
ZIP OFTInteger64 100% 3.3k 261499726, 261499750, 261499753
TAX_CLASS OFTString 96% 3 3, 2, 3
DEED_BOOK OFTString 95% 760 0318, 0280, 0335
DEED_PAGE OFTString 95% 1.4k 0242, 0459, 0589
LEGAL_1 OFTString 96% 8.3k 15.46AC. ELK FORK, 9.09 AC. ELK FORK, .75 AC ELK FORK
LEGAL_2 OFTString 37% 2.2k LOT SIZES 150X75X150X150 (.387, ALL AC MNGD TIMBERLAND 2016, 33.60 AC MNGD TIMB FOR 16
LIVING_UNI OFTString 96% 10 1, 1, 0
PROPERTY_C OFTString 96% 6 F, F, R
LAND_USE OFTString 96% 76 112, 112, 100
NBHD OFTInteger64 100% 31 260, 260, 260
LOT_SIZE OFTString 96% 3.7k 15.46, 9.09, 0.75
YEAR_BUILT OFTString 41% 169 1970, 1985, 1968
YEAR_REMOD OFTString 0% 18 2008, 2006, 1984
BUILDING_S OFTString 41% 10 02, 07, 01
STORIES OFTString 41% 3 1, 1, 1
EXT_WALLS OFTString 41% 9 03, 01, 03
SFLA OFTString 41% 1.4k 1344, 672, 1445
ROOMS OFTString 41% 17 5, 4, 4
BEDROOMS OFTString 40% 9 3, 2, 2
FULL_BATHS OFTString 38% 6 2, 1, 1
HALF_BATHS OFTString 9% 6 1, 1, 1
BASEMENT OFTString 41% 4 2, 1, 2
ATTIC OFTString 41% 5 1, 1, 4
FAM_ROOM OFTString 3% 3 0, 1, 1
CONDITION OFTString 41% 6 4, 5, 4
HEAT_TYPE OFTString 41% 4 1, 1, 1
FUEL_TYPE OFTString 41% 6 5, 3, 5
HEAT_SYSTE OFTString 41% 5 1, 1, 1
ASSESSED_L OFTString 96% 850 18960, 13560, 600
ASSESSED_B OFTString 96% 1.4k 6360, 2880, 0
ASSESSED_T OFTString 96% 1.6k 25320, 16440, 600
APPR_LAND OFTString 96% 850 31600, 22600, 1000
APPR_BLDG OFTString 96% 1.4k 10600, 4800, 0
APPR_TOTAL OFTString 96% 1.6k 42200, 27400, 1000
PIN_12 OFTString 96% 8.6k 48-02- 17-0014-0000-0000, 48-02- 17-0014-0001-0000, 48-02- 17-0014-0002-0000
CAMA_PID_1 OFTReal 100% 1 0.0, 0.0, 0.0
SHAPE__ARE OFTReal 100% 8.9k 92802.453125, 78178.859375, 4541.6796875
SHAPE__LEN OFTReal 100% 8.9k 1752.34172698218, 1210.16169901794, 311.731236112171

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.