33 attribute fields, profiled from the November 2022 vintage.
Columns in Red Lake County
| Field | Type | Filled | Distinct | Example values |
|---|---|---|---|---|
| objectid | OFTInteger | 4.1k | 21972, 21973, 21974 | |
| parcelid | OFTString | 3.8k | 06-9005-000, 06-1244-020, 06-9006-000 | |
| starea() | OFTReal | 4.1k | 2500.00309753418, 10000.0259094238, 6261564.35613251 | |
| stlength() | OFTReal | 4.1k | 200.000123832544, 400.000518153891, 10226.882735306 | |
| parcel_num | OFTString | 3.8k | 06-9005-000, 06-1244-020, 06-9006-000 | |
| tax_year | OFTInteger | 1 | 2022, 2022, 2022 | |
| deeded_acr | OFTReal | 1.4k | 0.57, 0.23, 144.74 | |
| property_a | OFTString | 1.9k | 27906 140TH AVE SW, 27892 135TH AVE SW, 27504 140TH AVE SW | |
| property_z | OFTString | 13 | 56750, 56750, 56750 | |
| taxpayer_n | OFTString | 2.1k | CROOKSTON CITY, SBA STEEL II, LLC, CROOKSTON CITY | |
| taxpayer_a | OFTString | 2.0k | 124 NORTH BROADWAY, 8051 CONGRESS AVE, 124 NORTH BROADWAY | |
| taxpayer_1 | OFTString | 848 | CROOKSTON MN 56716, BOCA RATON FL 33487, CROOKSTON MN 56716 | |
| taxpayer_2 | OFTString | 139 | MINNEAPOLIS MN 55415-3009, MINNEAPOLIS MN 55415-3009, RED LAKE FALLS MN 56750 | |
| taxpayer_3 | OFTString | 23 | BEMIDJI MN 56601, MIDDLE RIVER MN 56737, BELLEVUE WA 98006 | |
| owner_name | OFTString | 116 | GLASS/JUDY R & PEGGY K, OLSON/ROD ALLEN, GLASS/JUDY R & PEGGY K | |
| owner_addr | OFTString | 114 | C/O DARRELL & EVELYN GLASS, 12388 US HWY 2 SE, C/O DARRELL & EVELYN GLASS | |
| owner_ad_1 | OFTString | 89 | 25820 STATE HWY 32 S, MENTOR MN 56736, 25820 STATE HWY 32 S | |
| owner_ad_2 | OFTString | 27 | RED LAKE FALLS MN 56750, RED LAKE FALLS MN 56750, MENTOR MN 56736 | |
| owner_ad_3 | OFTString | 4 | FARGO ND 58104, OKLEE MN 56742, MOORHEAD MN 56560 | |
| section | OFTInteger | 37 | 31, 31, 31 | |
| township | OFTInteger | 4 | 150, 150, 150 | |
| range | OFTInteger | 7 | 44, 44, 44 | |
| lot | OFTInteger | 33 | 0, 0, 0 | |
| block | OFTInteger | 84 | 0, 0, 0 | |
| plat_numbe | OFTInteger | 1 | 0, 0, 0 | |
| plat_name | OFTString | — | ||
| city_twp_n | OFTInteger | 17 | 6, 6, 6 | |
| city_twp_1 | OFTString | 17 | LAKE PLEASANT, LAKE PLEASANT, LAKE PLEASANT | |
| school_dis | OFTInteger | 5 | 630, 630, 630 | |
| school_d_1 | OFTString | 5 | RED LAKE FALLS, RED LAKE FALLS, RED LAKE FALLS | |
| tax_increm | OFTString | 2 | No, No, No | |
| rural_serv | OFTInteger | 3 | 0, 0, 0 | |
| legal | OFTString | 2.8k | A TRACT 50' X 50' IN SW1/4 (WATER STORAGE TANKS), AUDITOR'S LOT 1, E1/2SW; LOTS 3 & 4 LESS 50' X 50' TRACT |
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.