What the 911 calls around here are about
The file
Minneapolis only — 87 neighbourhoods inside one city of a seven-county market. 1,646,661 calls from 2020-08-20 to 2026-08-20, aggregated to the neighbourhood because the source publishes no address.
22,123 rowsCounties in this file: Hennepin · 20 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 | what the call was about | calls | vs city (100 = same) |
|---|---|---|---|
| Downtown West | Unwanted Person | 10,418 | 186 |
| North Loop | F Alarm-Residential-Multi | 155 | 72 |
| Downtown West | Personal Inj Acc-Report | 56 | 77 |
| Hale | Burglary Dwlng In Progress | 25 | 125 |
| Downtown West | Audible Business Alarm | 11 | 180 |
| East Harriet | Robbery Of Biz In Progress | 5 | 135 |
| Sumner - Glenwood | Person In Crisis | 3 | 46 |
| Bottineau | Driving While Intoxicated | 1 | 325 |
| Lowry Hill East | Code 3 | 1 | 150 |
| Windom Park | Unwanted Person | 1 | 129 |
An em dash means the record is blank, and that is the source's gap rather than ours. Across the whole file: vs city (100 = same) is blank on 2.9% of rows.
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 |
subject |
what the call was about | default |
calls |
calls | default |
vs_city |
vs city (100 = same) | default |
pct_of_this_neighbourhood |
share of this neighbourhood | optional |
pct_citywide |
share city-wide | optional |
pct_of_city_for_this_subject |
share of the city's calls for this | optional |
agency |
who responded | optional |
dispositioned_false |
marked false | optional |
no_disposition |
no outcome recorded | optional |
priority_1 |
at top priority | optional |
neighbourhood_calls |
all calls in this neighbourhood | optional |
first_year |
first year | optional |
last_year |
last year | optional |
calls_2021 |
2021 | optional |
calls_2022 |
2022 | optional |
calls_2023 |
2023 | optional |
calls_2024 |
2024 | optional |
calls_2025 |
2025 | optional |
business_alarm |
is a business alarm | optional |
Where it comes from
City of Minneapolis, Incidents_Reported_911 — every 911 call from the public that was dispatched, ArcGIS FeatureServer, CC0-1.0
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=emergency-calls&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=emergency-calls&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.