What businesses around here report to the police
THE LAST YEAR IS SHORT: the feed stops on 2026-08-19, so 2026 is eight months against twelve everywhere else and any fall you see in it is the calendar. It spans the whole file rather than one year deliberately: the median neighbourhood sees 103 of these in ten years, so a per-year index is noise wearing a number.
The file
Minneapolis only — 87 neighbourhoods inside one city of a seven-county market. 18,368 offences against a business, of 226,909 reports filed between 2017-01-01 and 2026-08-19, aggregated to the neighbourhood because the city masks every address to the hundred block before publishing.
2,404 rowsCounties in this file: Hennepin · 12 columns available · free, no account, no rate limit.
Joins to an address on neighbourhoods, so it can be pointed at one property rather than read whole.
What the rows look like
10 real rows from this file, spread evenly across it rather than taken off the top — every file here is written in some order, so its first rows are never a fair sample of it. These are the default columns, which is what the download button hands over.
| neighbourhood | offence | year | reports | vs city (100 = same mix) |
|---|---|---|---|---|
| Armatage | Burglary Of Business | 2,017 | 6 | 190 |
| Columbia Park | Burglary Of Business | 2,020 | 2 | 175 |
| East Isles | Burglary Of Business | 2,017 | 11 | 66 |
| Hiawatha | Burglary Of Business | 2,021 | 9 | 106 |
| Logan Park | Burglary Of Business | 2,018 | 11 | 163 |
| Marcy Holmes | Shoplifting | 2,017 | 8 | 111 |
| North Loop | Shoplifting | 2,018 | 13 | 44 |
| Seward | Theft From Building | 2,020 | 3 | 114 |
| Ventura Village | Burglary Of Business | 2,022 | 7 | 144 |
| Windom Park | Trespassed - Burg Buisiness | 2,024 | 1 | 204 |
The cuts of this file
Every cut is the same columns, filtered. Pick one and the row count changes; the file does not.
Every column in this file
Columns marked default come down unless you pick your own with
&columns=.
| Column | What it is | In the default file |
|---|---|---|
neighbourhood |
neighbourhood | default |
offence |
offence | default |
year |
year | default |
reports |
reports | default |
vs_city |
vs city (100 = same mix) | default |
pct_of_this_neighbourhood |
share of this neighbourhood | optional |
reports_citywide |
reports city-wide that year | optional |
offence_here_all_years |
this offence here, all years | optional |
business_offences_here |
offences against a business here | optional |
neighbourhood_reports |
all reports in this neighbourhood | optional |
family |
kind | optional |
partial_year |
a part year | optional |
Where it comes from
Minneapolis Police Department — public incident reports
This source does not stamp the day it was published, so we cannot honestly date our copy of it and will not guess. The period the records themselves cover is on the system card.
What this layer cannot answer is stated in full on the system card — read it before quoting a figure.
What you may do with it
Creative Commons Attribution 4.0 International (CC BY 4.0). Share it, change it, build a product on it, sell that product — all fine. The one condition is credit: say it came from Brick & Mortar and link back.
Records published by City of Minneapolis. Government data held by a Minnesota state agency or political subdivision, presumed public under the Minnesota Government Data Practices Act (Minn. Stat. ch. 13) and published by the agency itself.
Read the full licence · how we license every dataset, and the two we do not
Without the page
/api/export?dataset=incidents&format=csv returns the
same file. Call /api/export
with no arguments for the whole catalogue.
Point an AI at it
Every file carries its own source, its capture date and the layer's own warnings in the header, so a model reading one gets the caveats with the numbers rather than the numbers alone. Paste this at an assistant that can fetch a URL:
Read https://brickandmortar.dev/api/export?dataset=incidents&format=csv
Everything above the header row is provenance and limits. Read it first,
then answer using only what the rows support.llms.txt describes the whole warehouse the same way — what each dataset holds, which counties it really covers, and what it cannot answer.