---
name: ume-data-open-data-fr-n-ume-kommun-c954737a73f0
description: "Query open data from Ume\u00e5 kommun about locations, facilities, demographics, environment, and more."
---

# Umeå Data - Open Data från Umeå kommun

Query open data from Umeå kommun about locations, facilities, demographics, environment, and more.

## API Base URL
`https://opendata.umea.se/api/v2/`

## Available Data Categories

### 🏞️ Recreation & Facilities

#### **Lekplatser (Playgrounds)**
- Dataset ID: `gop_lekparker`
- Contains playground locations managed by Gator och Parker
- Fields: namn, omrade, coordinates (geo_point_2d), contact info
- Example: "Var är närmaste lekplats till Mariehem?"

#### **Badplatser (Swimming Spots)**
- Dataset ID: `badplatser`
- Public swimming locations in Umeå
- Fields: namn, omrade, typ, coordinates, handik_anp (accessibility)
- Example: "Vilka badplatser finns i Umeå?"

#### **Vandringsleder (Hiking Trails)**
- Dataset ID: `vandringsleder`
- Hiking trails with routes and distances
- Fields: namn, delstracka, kommun, klass, langd (length in meters), geo_shape (trail geometry)
- Example: "Var kan jag vandra i Umeå?"

#### **Rastplatser (Rest Areas)**
- Dataset ID: `rastplatser`
- Rest stops and picnic areas
- Fields: name, location coordinates
- Example: "Var finns rastplatser?"

#### **Träd (Trees)**
- Dataset ID: `trad-som-forvaltas-av-gator-och-parker`
- Trees managed by Gator och Parker
- Fields: tree type, location, management data
- Example: "Vilka träd finns i området?"

### ⚡ Infrastructure

#### **Laddplatser (EV Charging Stations)**
- Dataset ID: `laddplatser`
- Electric vehicle charging stations
- Fields: name, street, house_number, zipcode, city, owned_by, operator, number_charging_points, available_charging_points, position (lon/lat)
- Example: "Finns det laddplatser nära centrum?"

#### **WiFi Hotspots**
- Dataset ID: `wifi-hotspots`
- Public WiFi access points
- Fields: popularnamn (name), koordinat (coordinates)
- Example: "Var finns gratis wifi i Umeå?"

### 🏗️ Building & Planning

#### **Bygglov Beslut (Building Permit Decisions)**
- Dataset ID: `bygglov-beslut`
- Approved building permits
- Fields: arendebeskrivning, arendetyp, beslut, beslutsdatum, registreringsdatum, beslutstyp
- Example: "Vilka bygglov har beviljats nyligen?"

#### **Bygglov Inkomna Ärenden (Building Permit Applications)**
- Dataset ID: `bygglov-inkomna-arenden`
- Incoming building permit applications
- Fields: application details, submission date, status
- Example: "Hur många bygglovsansökningar har kommit in?"

### 📊 Demographics & Statistics

#### **Befolkningsförändringar (Population Changes)**
- Dataset ID: `befolkningsfoeraendringar-helar`
- Population change statistics
- Fields: year, births, deaths, migration, total change
- Example: "Hur har befolkningen förändrats i Umeå?"

#### **Bostadsbestånd (Housing Stock)**
- Dataset ID: `bostadsbestand-hustyp`
- Housing inventory by type
- Fields: house type, count, area
- Example: "Hur ser bostadsbeståndet ut?"

### 🌍 Environment

#### **Växthusgasutsläpp (Greenhouse Gas Emissions)**
- Dataset ID: `vaxthusgasutslapp_umea`
- Greenhouse gas emissions data for Umeå
- Fields: year, sector, emissions (tons CO2 equivalent)
- Example: "Vad är Umeås växthusgasutsläpp?"

#### **Brottsstatistik (Crime Statistics)**
- Dataset ID: `exempel-brottsstatistik-anmaelda-brott-fran-bra-s-oeppna-data`
- Reported crimes from BRÅ open data
- Fields: crime type, count, year
- Example: "Hur ser brottsstatistiken ut?"

## Usage

### Query a Dataset
```bash
./scripts/query.sh <dataset_id> [limit]
```

Example:
```bash
./scripts/query.sh badplatser 10
./scripts/query.sh laddplatser 20
```

### Find Nearest Location
```bash
./scripts/nearby.sh <dataset_id> <lat> <lon> [limit]
```

Example:
```bash
# Find nearest playground to Mariehem (approx coordinates)
./scripts/nearby.sh gop_lekparker 63.8200 20.3000 5

# Find nearest EV charging station to city center
./scripts/nearby.sh laddplatser 63.8258 20.2630 5
```

## API Endpoints

### List All Datasets
```bash
curl "https://opendata.umea.se/api/v2/catalog/datasets"
```

### Get Records from a Dataset
```bash
curl "https://opendata.umea.se/api/v2/catalog/datasets/{dataset_id}/records?limit=20"
```

### Search Datasets
```bash
curl "https://opendata.umea.se/api/v2/catalog/datasets?where=search(default,\"query\")"
```

## Data Format

All records follow this structure:
```json
{
  "total_count": 123,
  "records": [
    {
      "record": {
        "id": "unique-id",
        "timestamp": "2024-01-01T12:00:00Z",
        "fields": {
          "namn": "Location Name",
          "geo_point_2d": {
            "lat": 63.825,
            "lon": 20.263
          },
          ...
        }
      }
    }
  ]
}
```

## Natural Language Query Examples

The AI can answer questions like:

**Recreation:**
- "Var är närmaste lekplats till Mariehem?"
- "Vilka badplatser finns i Umeå?"
- "Var kan jag vandra?"
- "Finns det någon rastplats nära E4?"

**Infrastructure:**
- "Finns det laddplatser nära centrum?"
- "Var finns gratis wifi?"
- "Hur många laddstolpar finns det totalt?"

**Planning:**
- "Vilka bygglov har beviljats nyligen?"
- "Vad byggs i Umeå just nu?"

**Demographics & Environment:**
- "Hur har befolkningen förändrats?"
- "Vad är Umeås växthusgasutsläpp?"
- "Hur många bostäder finns i Umeå?"
- "Hur ser brottsstatistiken ut?"

## Notes

- No API key required
- All data is public and open
- Coordinates use WGS84 (lat/lon)
- Some datasets include geo_shape for trails/routes
- Updated regularly by Umeå kommun


---
Source attribution: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/simskii/umea-data/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 clawdbot

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/simskii/umea-data/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Product Management
Roles: Data Analyst, Market Research Analyst, Product Manager
Specialties: API
Tools: Open Data Api
Country applicability: Sweden
Classification basis: Source catalog labels
Instruction SHA-256: 8228703ff19bb1239d167ffe44c40f69b87f6eaf88cc45e24ff126ae278a6521
