52 attribute fields, profiled from the June 2021 vintage.
Columns in Baldwin County
| Field | Type | Filled | Distinct | Example values |
|---|---|---|---|---|
| objectid | OFTInteger | 50.0k | 96, 6273, 17603 | |
| pin | OFTString | 50.0k | 279, 13905, 39918 | |
| pinpad | OFTString | 50.0k | 000279, 013905, 039918 | |
| pid | OFTString | 50.0k | 05-69-08-02-0-006-019.002, 05-69-08-01-0-005-026.000, 05-69-08-02-0-006-019.001 | |
| newpid | OFTString | 10.1k | 0000000000000000, 0000000000000000, 0000000000000000 | |
| future | OFTString | 1 | F, F, F | |
| account | OFTInteger | 50.0k | 90687, 90687, 90687 | |
| name | OFTString | 50.0k | ALABAMA HISTORICAL COMMISSION, ALABAMA HISTORICAL COMMISSION, ALABAMA HISTORICAL COMMISSION | |
| address1 | OFTString | 50.0k | STATE OF ALABAMA, ALABAMA HIST, STATE OF ALABAMA, ALABAMA HIST, STATE OF ALABAMA, ALABAMA HIST | |
| address2 | OFTString | 4.1k | 725 MONNE ST, 725 MONNE ST, 725 MONNE ST | |
| address3 | OFTString | 318 | RANCHO SANTA-, 1875 CENTURY BLVD STE 420, 1875 CENTURY BLVD STE 420 | |
| city | OFTString | 3.6k | MONTGOMERY, MONTGOMERY, MONTGOMERY | |
| state | OFTString | 73 | AL, AL, AL | |
| zip1 | OFTString | 5.4k | 36130, 36130, 36130 | |
| zip2 | OFTString | 2.2k | 1390, 8046, 0289 | |
| previousow | OFTString | 50.0k | FORT MORGAN STATE PARK, RAY, BYRON A ETAL RAY, SHARON B, ALABAMA HISTORICAL COMMISSION | |
| tottrueval | OFTInteger | 20.8k | 143000, 10832400, 338000 | |
| totassval | OFTInteger | 9.3k | 28600, 2166480, 67600 | |
| totacres | OFTReal | 1.8k | 11.0, 102.0, 13.0 | |
| timberacre | OFTReal | 1.1k | 0.0, 0.0, 0.0 | |
| usevalue | OFTInteger | 8.6k | 0, 0, 0 | |
| useyear | OFTInteger | 21 | 0, 0, 0 | |
| taxdistric | OFTString | 37 | 02, 02, 02 | |
| exemcode1 | OFTString | 6 | H1, H1, H1 | |
| exemcode2 | OFTString | 2 | E8, E8, H3 | |
| homesteady | OFTInteger | 10 | 0, 0, 0 | |
| penaltyfla | OFTString | — | ||
| neighcode | OFTString | 96 | FORTMORGAN, FORTMORGAN, FORTMORGAN | |
| subcode | OFTString | 5.4k | 01BTB, 01BTB, 01BTB | |
| subname | OFTString | 5.4k | BAY TO BREAKERS SUB (& RESUB), BAY TO BREAKERS SUB (& RESUB), BAY TO BREAKERS SUB (& RESUB) | |
| propcl | OFTString | 1 | MR, MR, MR | |
| propsubcl | OFTString | 2 | TWH, TWH, TWH | |
| sublot | OFTString | 6.0k | 1A, 1B, 2B | |
| subblock | OFTString | 592 | PRIV, COMN, F | |
| nummob | OFTInteger | 9 | 0, 0, 0 | |
| calcacres | OFTReal | 7.3k | 13.23, 98.55, 11.85 | |
| lotdim | OFTString | 29.6k | 100X1330, 100X630, 50X165 | |
| propaddid | OFTInteger | 1 | 0, 0, 0 | |
| propstreet | OFTString | 8.6k | ST HWY 180, ST HWY 180, ST HWY 180 | |
| propstre_1 | OFTInteger | 31.0k | 0, 0, 0 | |
| propcityco | OFTInteger | 27 | 7, 7, 7 | |
| landusetyp | OFTString | 8 | VACANT, VACANT, VACANT | |
| starea() | OFTReal | 50.0k | 71980.425781, 536000.013672, 64481.40625 | |
| stlength() | OFTReal | 50.0k | 2422.424484, 3880.969137, 2538.792831 | |
| imptype | OFTString | 75 | 111, 111, 111 | |
| marketadjp | OFTString | 3 | 1, 1, 1 | |
| tax_year_a | OFTInteger | 17 | 0, 0, 0 | |
| plat_book | OFTString | 65 | SLIDE, SLIDE, SLIDE | |
| plat_page | OFTString | 2.3k | 1706A, 1706A, 1706A | |
| lgl0070001 | OFTString | 50.0k | 11 AC(C) BEG 795' S OF NW COR OF LOT 13 OF GULF BEACH FORT M, 99 AC(C) FORT MAORGAN STATE PARK BEG AT A PT 360'(S) S OFLOT, 13 AC(C) 32 AC(D) BEG AT THE NW COR OF LOT 13 OF GULF BEACH | |
| tlv | OFTInteger | 6.7k | 143000, 10832400, 338000 | |
| tiv | OFTInteger | 8.1k | 0, 0, 0 |
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.