Data sources

Data sources and licences

Short answer: All data on MapAndMove.se comes from open and public sources. Here we show where the information comes from, layer by layer.

Thanks

A big thank you to everyone who works with open data.

Everything on MapAndMove rests on public agencies, municipalities, researchers and volunteers who collect, clean and share data so that anyone can use it. Without you there would be no map, no figures and no comparisons. Thank you!

SCBSMHIOpenStreetMap contributorsSGULantmäterietKoladaSwedish Forest AgencyCopernicusBoverketSwedish Environmental Protection AgencySwedish Transport AdministrationCounty Administrative BoardsMCF (formerly MSB)Swedish Civil Defence and Resilience AgencySLUSwedish National Agency for EducationSwedish Public Employment ServiceBråDTUEMODnetGBIFSwedish Agency for Marine and Water ManagementNOAASwedish Museum of Natural HistorySwedish PoliceSvenska kraftnätTrafiklabElection AuthorityWorld BankEurostatGoogle DeepMindSwedish Internet FoundationThe municipalitiesKonjunkturinstitutetMapzenNOBILPTSSwedish National Heritage BoardSwedish Sports ConfederationSKR via KoladaSami ParliamentNational Board of Health and WelfareSveriges RiksbankTicketmasterWest Sweden Tourist BoardWikidataWikipedia and Wikimedia Commons
Layers · 146

Every map layer with its source.

The map has over 400 layers and key figures, and every one of them has a source. The sources are listed here by topic. Open a legend card on the map the same line appears there, along with the layer's caveats: that is, what the figure can not answer.

Bedrock, soil and terrain18

  • Rock types, age, tectonics and deformation zonesSGU's bedrock map 1:50,000–1:250,000 (CC0). The colours are SGU's own legend colours, never invented by us.
  • Soil type and radon riskSGU's soil type map. The radon risk is DERIVED from the soil type, not measured.
  • Ice age traces: eskers, drumlins, moraine ridgesSGU's mapped ice age traces (eskers, drumlins, moraine ridges). The highest coastline, on the other hand, is MODELLED by us from an elevation model.
  • Glacial striae (direction of ice movement)SGU's 65,406 striae observations (CC0), drawn as a field of arrows coloured by direction.
  • Seabed: sediment type and fibre banksSGU's marine geological mapping 1:500,000 (CC0): seabed type + fibre banks.
  • Geologically interesting sitesSGU's curated list of 133 places where Swedish geology can be seen on site (CC0).
  • Uranium in bedrock and tillSGU's outcrop measurements of gamma radiation (55,747 points) and geochemical till samples (28,467).
  • Magnetic anomalySGU's aeromagnetic anomaly map (CC0), 200 m grid, as a coloured raster.
  • Gravity (Bouguer)SGU's Bouguer anomaly (CC0), interpolated from ground measurements, 500 m cells in the RG82 reference frame.
  • Acid sulfate soilSGU's model of acid sulphate soil (CC0) as a classified raster surface, plus 2,632 field samples.
  • Ground motion: subsiding landEuropean Ground Motion Service (EGMS, Copernicus), L3 vertical 2020–2024, 100 m grid, as a coloured raster showing only subsiding points.
  • Soil depth and thermal conductivity (ground source heat)SGU: the soil depth model (10 m raster) and the overview map of bedrock thermal conductivity.
  • Wells (energy and water)SGU's Well Archive, 824,292 wells (CC0). Personal data (property designation and location description) is removed in our build and never reaches the map.
  • Mines, quarries, concessions and exploration permitsSGU and the Mining Inspectorate (mines, mineral resources, concessions and exploration permits) plus OpenStreetMap (quarries).
  • Slope, hillshade and steep slopesDerived by us from Copernicus GLO-90, a global elevation model with 90 metre resolution.
  • Land upliftThe land uplift model NKG2016LU (Nordic Geodetic Commission) via Lantmäteriet, CC BY 4.0.
  • The sea's retreat after the Ice AgeSGU's shoreline displacement model (CC0). The levels in between are interpolated by us from the highest coastline and an elevation model.
  • 3D terrain (the elevation model under the map)Lantmäteriet's ground elevation model for Sweden (CC BY 4.0). Neighbouring countries and the zoomed-out levels are filled from Copernicus GLO-90, which is a surface model: tree crowns and roofs are included in the height. The rest of the world comes at coarse resolution from Terrain Tiles (Mapzen/Tilezen, AWS Open Data), compiled from ArcticDEM (PGC, NSF), Geoscience Australia, data.gv.at, Canada's elevation data (Open Government Licence Canada), EU-DEM (Copernicus), ETOPO1 (NOAA), INEGI, LINZ (CC BY 4.0), Kartverket, the UK Environment Agency and USGS 3DEP, GMTED2010 and SRTM.

Nature, environment and outdoor life20

  • Protected nature: reserves, Natura 2000, Ramsar, water protectionThe Swedish Environmental Protection Agency and the county administrative boards: nature reserves, national parks, Natura 2000, Ramsar, water protection areas, habitat protection and outdoor recreation areas.
  • Forest conservation values: woodland key habitats and swamp forestsSwedish Forest Agency: woodland key habitats, large forestry companies' own key habitats, sites with conservation value and swamp forests (CC0).
  • Notified fellingSwedish Forest Agency felling notifications, 133,156 areas over the last five years.
  • Tree height (Skogliga grunddata)The Swedish Forest Agency's forest base data: laser-derived tree height, survey round 2 (2018–2025), aggregated from 1 m to 50 m cells. CC0. Within built-up areas: Meta and the World Resources Institute (WRI), CHMv2 (satellite imagery 2020, CC BY 4.0), because the laser height counts buildings as trees.
  • Soil moistureSLU's soil moisture map via the Swedish Forest Agency: modelled with machine learning from laser data, three classes per 50 m cell. CC0.
  • Mushroom and berry index (modelled)Model: habitat from NMD 2023 tree species share per species (pine, spruce, common broadleaf, beech, oak, other noble broadleaf, lodgepole pine, larch; the base layer's forest classes where the layer has no data), the Swedish Forest Agency's tree height and SLU's soil moisture, SGU's soil types and bedrock (lime and basic rock favour black trumpets, porcini and morels), Copernicus GLO-90 slope, completed fellings and burnt areas; weather window per municipality: rain from SMHI's MESAN analysis (2.5 km grid, 24 h totals, mean over the municipality's cells) and temperature from the same analysis (five analyses a day → daily mean and night minimum per cell, 7 days; nearest SMHI station as fallback), 30 days. All CC0/CC BY. Berries and herbs: habitat index per species from NMD 2023 (tree species, mire, heath and mountain classes, clear-cuts), the Swedish Forest Agency's tree height, SLU's soil moisture, SGU's soil types and bedrock (lime for wild garlic) and the Copernicus elevation model, weighted per species according to the literature. The picking season per municipality is a model based on latitude and altitude. GBIF (CC0 and CC BY 4.0) is only used to check the model against known finds, not as a source.
  • Game habitats and hunting seasons (modelled)Model: habitat index per species and 50 m cell from NMD 2023 (land cover and tree species), the Swedish Forest Agency's tree height and clear-cuts, the elevation model and distance to built-up areas (SCB), weighted according to the literature. The range of moose, roe deer, wild boar, red deer and fallow deer is the species' share of hoofed game collisions per 1 km cell from the Swedish Transport Administration's wildlife accident maps 2020–2024 (CC0). Hunting seasons are the general seasons in the Hunting Ordinance (1987:905) annexes 1–3, checked line by line 2026-10-06. Property boundaries are Lantmäteriet's (CC BY 4.0).
  • Climate 1961– (SMHI PTHBV)SMHI's PTHBV (CC BY 4.0): precipitation and temperature interpolated to a 4 km grid from the station network, daily values since 1961. The map shows the normal period 1991–2020 and the difference from 1961–1990; the KPIs are the municipality's mean over the cells. The Mean wind 100 m checkbox on the same card shows Global Wind Atlas 3 instead (DTU/World Bank, CC BY 4.0): modelled annual mean wind at 100 m height, 250 m grid, climatology 2008–2017.
  • Weather warnings (SMHI)SMHI's impact-based weather warnings (CC BY 4.0), fetched directly from SMHI's API in your browser when the layer is switched on (at most 10 minutes old).
  • Air quality (PM2.5 and NO₂)EEA's interpolated maps of PM2.5 and NO2, annual mean in µg/m³, 1 km grid.
  • Noise from roads, railways and aircraft: and natural quietTrafikverket's noise mapping under the EU Environmental Noise Directive (roads, railways, aircraft) plus the Swedish Environmental Protection Agency's natural quiet map.
  • Bathing sites and bathing water qualityThe Swedish Agency for Marine and Water Management's Badplatsen: around 2,630 EU bathing sites with quality class, test results and advisories.
  • Bird sites and species distributionThe bird sites are a curated list of 41 places. Species distribution is fetched LIVE from GBIF's observation database.
  • Hiking, cycling and ski trailsHiking, cycling and ski trails from OpenStreetMap.
  • Sports facilities and floodlit trailsSports facilities from OpenStreetMap (swimming pools, sports halls, ice rinks, gyms, sports grounds) plus floodlit trails.
  • Golf courses, motor tracks, trotting and racecoursesGolf courses and motor circuits from OpenStreetMap; the trotting and gallop tracks are a curated list of 33 tracks.
  • Natural hazards: landslides, rockfalls, erosion, flooding, forest firesSGU (landslides and rockfalls, coastal erosion), the Swedish Civil Defence and Resilience Agency, formerly MSB (flooding around Vänern and Mälaren and along watercourses) and the Swedish Forest Agency (burnt areas).
  • LakesLantmäteriet's hydrography (StandingWater): lakes larger than 10 hectares.
  • Sea depth (bathymetry)EMODnet Bathymetry, around 116 m grid, for the sea. Lake beds are MODELLED from SMHI's SVAR register: there is no open depth model for Swedish lakes.
  • Future sea levelSMHI's Future mean sea level (IPCC AR6). Land uplift is already included, storm surges and waves are not.

Land, buildings and land-use regulation9

  • Land cover: forest, farmland, industryLantmäteriet's land cover data (forest, farmland, industrial and commercial land).
  • Buildings (colored by type)Lantmäteriet's building register, around 9.5 million buildings, coloured by building type. The heights in 3D are measured from Laserdata Nedladdning, skog, © Lantmäteriet, processed into one height per building, licence CC BY 4.0.
  • Individual trees in 3D (canopy height model)The Swedish Forest Agency's canopy height model at 1 metre resolution (laser-scanned surface model minus terrain model). Each local maximum becomes a tree; height and crown radius are measured from the same raster. Ground level under the tree is sampled from the terrain model the map itself draws, the building mask comes from Lantmäteriet's building register and the water and municipality masks from Lantmäteriet's land cover data. 73.1 million trees in 285 municipalities (built 2026-08-28).
  • Industrial & commercial landLantmäteriet's land use data: 7,043 areas of industrial and commercial development, coloured by size.
  • Detailed development plansDetailed development plans in force from the National Geodata Platform, around 17,800 plan areas.
  • Shoreline protection, areas of national interest and other regulationsThe Swedish Environmental Protection Agency, the county administrative boards and the Swedish National Heritage Board: shoreline protection, areas of national interest, landscape protection, animal and plant protection areas and natural monuments.
  • Contaminated land (EBH)The county administrative boards' EBH database, 85,429 potentially contaminated sites.
  • Reindeer herding area and national interest for reindeer husbandryThe Sami Parliament (extent of the reindeer herding area, CC-BY) and the county administrative boards (national interest for reindeer husbandry).
  • Cemeteries, allotments and military areasCemeteries, allotments and military areas from OpenStreetMap.

Infrastructure and transport17

  • Public transport: lines and stopsGTFS Sweden (Trafiklab/Samtrafiken): the public transport authorities' own timetables.
  • Public transport hubsDerived by us from the GTFS timetables: stops clustered together where at least two lines meet.
  • Freight railway (track class)Trafikverket's classification of the state railway network into line types, 21,928 sections.
  • Heavy traffic (AADT)NVDB/Trafikverket via Lastkajen: annual average daily traffic of heavy vehicles on 66,711 road sections.
  • Ports (cargo volume)EMODnet/Eurostat: freight volume per port and commodity group, 67 Swedish ports. The AREA of the circle is proportional to the volume.
  • Infrastructure plansTrafikverket's project map, 431 planned and ongoing projects, just over a tenth enriched with cost and planning phase from the national plan 2026–2037.
  • Power linesThe power lines come from OpenStreetMap, coloured by voltage level.
  • SubstationsSubstations and switchyards from OpenStreetMap, coloured by grid level.
  • Charging stationsNOBIL's open data dump of public charging stations in Sweden, coloured by maximum power.
  • Wind turbineVindbrukskollen (county administrative boards), around 10,700 turbines with status.
  • Mobile masts and mobile coverageThe masts come from OpenStreetMap; the coverage is a MODEL we calculated, not measured signal.
  • Proximity to services (coverage areas)Road isochrones calculated by us (Valhalla) from the places in OpenStreetMap: grocery shop, pharmacy, health centre, hospital, library, swimming pool, railway station, charging station, school and preschool.
  • Fire stations and response timeThe fire stations come from OpenStreetMap, and the coverage areas are road isochrones we calculated ourselves (roughly 5, 10 and 15 minutes' driving time).
  • Cycle networkOpenStreetMap (ODbL): around 154,000 dedicated cycle paths.
  • Railways (the tracks on the map)OpenStreetMap (ODbL): all track types: railway, metro, tram, narrow gauge and heritage railways. The traffic on the tracks, however, comes from the timetables.
  • Domestic flightsCurated register of scheduled domestic routes: the airlines' own timetables and Trafikverket's traffic contracts (public service obligation).
  • Electricity price areas SE1–SE4The electricity price areas are the municipalities merged by the area they lie in, checked against Svenska kraftnät's map; the price level is SCB's electricity retail prices per area (CC0).

Society, services and safety10

  • Places and brands (POI)OpenStreetMap via Overpass (ODbL), fetched quarterly.
  • Schools and school qualityThe Swedish National Agency for Education (compulsory and upper secondary schools, including attainment, eligibility and teacher qualifications) plus OpenStreetMap (preschools).
  • Care and healthHealth centres, hospitals, emergency departments, pharmacies, dentists and care homes from OpenStreetMap.
  • Justice system: prisons, remand centres, police, courtsPrisons, remand centres, police stations, courts and SiS homes from OpenStreetMap, with a curated classification of security class and type.
  • SheltersThe shelter register from the Swedish Civil Defence and Resilience Agency (formerly MSB), around 63,000 shelters with number of places.
  • Vulnerable areasThe Police's assessment of vulnerable areas 2025, matched to SCB's RegSO areas.
  • Reported crimesBrå via Kolada: reported crimes per 100,000 inhabitants and municipality, 2008–2025.
  • Museum sitesCurated base from OpenStreetMap (6,433 museums and attractions) plus moderated contributions from visitors to the site.
  • Associations and club premisesCompiled from OpenStreetMap (98 %) plus 207 hand-curated elite clubs.
  • EventsThree sources. Turistrådet Västsverige: 1,832 events in 61 West Swedish areas, with dates and locations. Ticketmaster: 305 concerts, sports and theatre with ticket links. Wikidata (CC0): 209 recurring events.

Population, housing, economy and politics15

  • Population densitySCB's open population grid, inhabitants per 1 km square (CC0), as a heat map.
  • How areas have changed over timeSCB and Delmos socioeconomic index plus the official area type per RegSO/DeSO, 2011–2024 (CC0). We do not calculate deprivation ourselves.
  • Stability 2011–2024Calculated by us as the standard deviation of the area's percentile ranking 2011–2024, from SCB's index.
  • Population projection 2024–2070SCB's official regional population projection 2024–2070 (CC0). The site's only future layer: we extrapolate nothing ourselves.
  • House prices: houses and tenant-owned flatsSCB (houses and holiday homes 1995–2025) and Kolada/SCB's income statements (tenant-owned flats 2000–2025), CC0.
  • Rents in rental flatsSCB's survey Rents for dwellings (BO0406), SEK/m²/year 2016–2025, 289 of 290 municipalities (CC0).
  • Available plots from the municipalityThe municipalities' own open data, published according to the national specification for available plots (the Swedish Internet Foundation's Dataverkstad). 506 available plots in 13 municipalities, all under CC0, fetched via Sweden's data portal.
  • Areas under developmentA hand-curated list of 89 major urban development areas: name, approximate extent, number of homes, timetable and planned public transport from the municipalities' and the Swedish Transport Administration's own project pages, with a link to the municipality's page.
  • Municipal financesKolada (SCB's financial statistics + RKA): nine financial measures per municipality 2008–2025, plus two composite ones we calculate in the browser.
  • Business and business climateSCB (payroll totals, entrepreneurship) and SKR's Insikt survey of the business climate.
  • Municipal elections 1973–2022SCB (ME0104T1): municipal elections 1973–2022, 15 election years.
  • General elections 2010–2022 by areaThe Election Authority via SCB: general elections 2010, 2014, 2018 and 2022 per RegSO.
  • Political control 1994–2025Kolada (N05829, SKR): ruling bloc type per municipality and year 1994–2025.
  • The state budget: interest rates and the policy rate pathSveriges Riksbank: the policy rate and government bond yields (SWEA) and the monetary policy forecast for the policy rate. The monthly averages are our own processing.
  • The state budget: NIER's forecastNational Institute of Economic Research, forecast database: GDP, CPIF, unemployment, net lending and public debt.

Calculated by us, and scale references6

  • Chance to see the auroraCalculated by us: geomagnetic latitude combined with cloudiness and hours of darkness from the climate normals.
  • Time zones: solar time, nautical bands, IANAThe solar time strips and the nautical 15° bands are pure geometry calculated by us; the official zones come from the IANA time zone database.
  • Mount Everest (scale reference)A SCALE REFERENCE, not a map layer: the outline of Mount Everest placed on Swedish ground.
  • Sweden's footprint (cubes)A SCALE REFERENCE: Sweden's territorial greenhouse gas emissions for one year, drawn as cubes with the volume converted into a physical shape.
  • Sun path, daylight and day/nightCalculated in the browser from NOAA's solar position algorithm: no data is fetched.
  • Similar municipalities (satellite embedding)The AlphaEarth Foundations Satellite Embedding dataset is produced by Google and Google DeepMind. CC BY 4.0. Mean per municipality for 2025, calculated by us and weighted by population.

The key figures behind the map colouring44

  • Municipal key figuresKolada (RKA): the municipalities' reporting passed on from SCB, the Swedish National Agency for Education, the National Board of Health and Welfare and others.
  • Area statistics (RegSO, DeSO, urban area)SCB's statistical atlas (open data, CC0). A total-count register: population, income and education registers.
  • Number of places per municipalityOpenStreetMap via Overpass, fetched quarterly (ODbL).
  • Climate and weatherSMHI: station observations 1991–2020 (temperature, precipitation, snow, wind, cloud) and the STRÅNG model for sunshine and irradiance.
  • Elections and governanceThe Election Authority (election results) and SKR plus the municipalities' own information (governance).
  • Available jobsPlatsbanken/JobTech (Swedish Public Employment Service), snapshot updated daily.
  • Community & CultureCompiled by MapAndMove from the Swedish Sports Confederation, the national sports federations and the municipalities' own registers.
  • PropertiesLantmäteriet's property data, processed in our own PostGIS pipeline (4.3 million polygons).
  • Mortgage calculatorCalculated by MapAndMove from the municipality's house price and median income, with interest rate, amortisation requirement and interest deduction at national level.
  • Electricity priceSCB's retail electricity prices per price area plus energy tax. Static file, not a live price.
  • Water, waste and district heatingThe Nils Holgersson survey 2025: water and sewage, waste and district heating charges per municipality, in SEK per square metre and year including VAT. Running cost is the sum of these three plus electricity.
  • BroadbandPTS broadband mapping (fibre share per municipality, urban areas and rural areas).
  • Sealed surfaces by municipalityCopernicus High Resolution Layer Imperviousness Density 2018 (EU, EEA), density 0 to 100 % per 10 m cell, summed per municipality in an equal-area projection. Water is removed with NMD 2023. Urban area = Statistics Sweden's urban areas 2023. Population = Statistics Sweden 2018.
  • Subsiding ground under urban areas, buildings, roads and railwaysCopernicus EGMS (satellite radar 2020–2024), four measures with the same threshold: the share sinking at least 2 mm/year relative to the surroundings within a few km, of measured 100 m cells within SCB's built-up areas, of Lantmäteriet's residential buildings (the cell under the middle of the house), and of samples every 25 m along major roads and railways (OpenStreetMap; heritage and test lines excluded).
  • Population aheadSCB's regional population projection.
  • Housing needBoverket's calculation of housing need, set against actual planning.
  • Climate 1961– (SMHI PTHBV)SMHI's PTHBV (CC BY 4.0): temperature and precipitation interpolated to a 4 km grid, annual values 1961–. The municipality's value is the mean over its grid cells.
  • Fire risk (SMHI)SMHI's fire risk forecast (CC BY 4.0): six-level class (1 very low … 6 extremely high) per day on a 2.8 km grid, read at each municipality's centre point every morning.
  • Thunder and lightning strikes (SMHI)SMHI's lightning location network (CC BY 4.0): every recorded ground strike 2012–2025 with position, binned into 1 km squares and summed per municipality. Average over fourteen full years.
  • Lake ice and spring flood (SMHI)SMHI's hydrological observations (CC BY 4.0): freeze-up and ice break-up on lakes plus daily discharge in watercourses, read from the station closest to the municipality's centre point (at most 60 km away). Median over the station's last 30 seasons.
  • Pollen forecast (Swedish Museum of Natural History)Pollenrapporten, Palynological Laboratory, Swedish Museum of Natural History (CC BY-ND 4.0): today's forecast level (0 none … 7 very high) per pollen type for whichever of the 23 regions has its monitoring station closest to the municipality's centre point. Fetched once each morning and shown unchanged.
  • Snow days (SMHI metobs)SMHI's station measurements of snow depth at 06 o'clock (CC BY 4.0), read from the station closest to the municipality's centre point (at most 60 km away). Median over the winters 1991/92–2020/21: days with at least 1 cm of snow, and the winter's greatest snow depth.
  • UV dose (SMHI STRÅNG)SMHI STRÅNG (CC BY 4.0), parameter 116: CIE-weighted UV radiation on a 2.5 km grid, read at the municipality's centre point 2020–2024. The daily dose is summed to an annual dose in kJ/m²; 1 SED = 0.1 kJ/m².
  • Mean wind 100 m (Global Wind Atlas)Global Wind Atlas 3 (DTU and the World Bank, CC BY 4.0): modelled annual mean wind 100 m above ground on a 250 m grid, climatology 2008–2017. The municipality's value is the mean over its cells; the share is cells with at least 7 m/s.
  • Air quality at monitoring stations (Swedish EPA/EEA)The Swedish EPA's data hosting for air quality, fetched through the EEA's Air Quality Download Service (validated hourly values). Only stations located IN the municipality; the value is the station with the highest annual mean, for the latest year with at least 75 % data capture (usually 2024). Days above the WHO guideline values 2021 (PM2.5 15, NO₂ 25, PM10 45 µg/m³ as daily mean).
  • Climate adaptation in comprehensive plans (Boverket)Boverket, report 2025:17 Klimatanpassningsläget i översiktsplaner 2018–2024 (CC BY). The plan year covers all municipalities; risk types and measures are counted from the 84 plans Boverket reviewed (adopted 2018 or later).
  • Greenhouse gas emissions per municipality (National Emissions Database)The National Emissions Database (the Swedish Environmental Protection Agency and RUS, data from SMED, operated by SMHI): territorial greenhouse gas emissions per municipality and sector, tonnes of CO₂ equivalent, 1990 and 2020–.
  • Emissions pathwayEmissions data per municipality with a projected pathway to 2050.
  • Occupation forecastThe Swedish Public Employment Service's occupational barometer: an ASSESSMENT, not a measurement.
  • County valuesSCB's statistical database per county, sometimes calculated per inhabitant using Kolada's population figures (CC0).
  • Travel time to servicesEstimated travel time to the nearest services, population-weighted per municipality (public transport timetables + OpenStreetMap places).
  • Location for new businessMapAndMove's own model: population base in a grid weighed against existing supply.
  • Socioeconomic indexSCB's socioeconomic index per RegSO (CC0).
  • School types in the municipalityThe Swedish National Agency for Education's school register for upper secondary schools, and an editorial list of higher education institutions for university colleges and universities. Counted per municipality. Compulsory schools, preschools, pupils per teacher (median over the municipality's compulsory schools) and the independent share come from the same school register. Pupils per school is the register's 'approximately' figure (the median over the municipality's compulsory schools); university and folk high school are yes/no from the editorial list.
  • Proximity to natureLakes larger than 0.1 km² from the map's lake layer (proximity measured to the shoreline from the centre of each built-up area, population weighted), nature reserves, national parks and lakes per municipality from the Swedish EPA/Lantmäteriet (natur_per_kommun.json), and trails from OSM's hiking, ski and cycling networks split per segment onto the municipality polygon.
  • Travel time to a major cityThe commuting matrix (RAPTOR over GTFS, the same as the Distance condition): public transport travel time from the municipality's best-placed urban area to Stockholm, Göteborg or Malmö, whichever is shortest.
  • Leisure facilities per municipalityBathing sites from the Swedish Agency for Marine and Water Management's register (EU bathing site = those with statutory sampling), floodlit trails, allotment areas, trotting and gallop tracks and motor circuits from OSM: all placed on the municipality polygon with point in polygon.
  • Rent level per municipalitySCB's rent survey (BO0406), median rent in SEK per square metre and year for rental flats, latest year: the same file as the rent layer.
  • Reported crimes per municipalityReported crimes per 100,000 residents from Brå's statistics via Kolada, latest year.
  • Municipal financesThe municipality's own finances from SCB's annual accounts summary and RKA via Kolada, latest year: result as a percentage of tax and grants, equity ratio, self-financing of investments, net from the equalisation system.
  • Business per municipalityBusiness measures from SCB and SKR via Kolada: new businesses per 1,000 residents 16–64, share of self-employed, industry breadth, day/night wage ratio (calculated by MapAndMove from SCB's wage totals, N00125/N00126 via Kolada), and the Insikt index (businesses' rating of the municipality's regulatory services).
  • Vulnerable areas and sheltersThe Police's list of vulnerable and especially vulnerable areas and the shelter register from the Swedish Civil Defence and Resilience Agency (formerly MSB), placed on the municipality polygon, places as a percentage of the population.
  • Climate adaptation plan and damsBoverket's environmental objectives survey 2021, question 3.1: does the municipality have up-to-date documents for adapting to a changing climate (Yes, No but work is under way, No). Processed by MapAndMove: Yes 1, under way 0.5, No 0. Dams: SMHI's dam register (CC BY 4.0), number of dams per municipality code, processed into a total per municipality.
  • Construction vs needCompleted homes per year from SCB (TAB4193, CC0), averaged over the last three years, minus Boverket's estimated annual housing need 2026–2035 (Boverket as source), divided by the population (SCB TAB6574, CC0) times 1,000. Built in the data store with checks: 290 municipalities, plausible ranges and a cross-check against Kolada N07917.

Geography and area divisions4

  • Municipality boundariesThe municipal boundaries come from SCB's official municipal division, clipped at the coastline and reprojected from SWEREF99TM to WGS84.
  • RegSO: regional statistical areasThe areas are SCB's RegSO: a fixed division into regional statistical areas, designed to be comparable over time.
  • County, province and regional boundariesThe counties come from Lantmäteriet's “Kommun, län och rike” dataset. The province boundaries are a free merge (CC0) of the same data, and the regions, NUTS 2 areas and healthcare regions are merges of the counties.
  • SWEREF zones and control points (SWEPOS)The zones are derived from Lantmäteriet's central meridians for SWEREF 99; the stations come from the SWEPOS public map service (Lantmäteriet).

Search, journeys and photos3

  • Address searchLantmäteriet's Belägenhetsadresser, 3.8 million addresses (Geotorget).
  • Journey plannerTravel times are calculated on our own MOTIS server from GTFS Sweden (Trafiklab/Samtrafiken) and OpenStreetMap's road network. No real-time data is used.
  • Photos in municipality cards and place cardsWikimedia Commons. Only free licences get through, and the author, licence and link are shown with the image: an empty or unknown licence means no.
Analyses · 155

The sources behind the analyses.

The pages on pensions, schools, electricity prices, the parties and the other issues build on statistics, reports and research. Each source is listed here with its publisher, years and what the licence allows. Where no licence is given, the page only repeats individual facts with a link.

Politics and democracy13

Defence, migration and the EU7

Energy and transport26

Economy, banks and prices24

Schools and education22

Pensions and social security24

Health, care and family9

Environment, animals and food21

Housing5

Licences

What the licences mean.

CC0 1.0
Free
No requirements. The data has no copyright restrictions.
CC BY 4.0
Attribution
Free to use as long as the author is credited. We show the source next to every figure.
ODbL 1.0
Share alike
Credit the source, and databases built on the data are shared on the same terms.

Unsure about a licence? Ask us before you reuse the data.

Our own

Our own analyses, layers and forecasts.

Everything here is MapAndMove's own processing. The original source is always shown alongside, but the figure is ours and so is the responsibility for it. The agencies have not reviewed it.

Analyses
Analyse the location, Compare and Area report
We add up open data for the area you have selected: travel time, proximity to services, noise and population. Each measure has a Material and processing line showing the original source.Built on SCB, Lantmäteriet, OpenStreetMap, Trafiklab and the Swedish National Agency for Education.
Layers
Map layers we have produced ourselves
Travel time maps, proximity layers and compilations that no agency offers in that form. We calculate them from the sources' raw data and draw them as our own layers.Marked MapAndMove in the layer's source line, with the original source alongside.
Forecasts
Projections and scenarios
Where we project a value forward, for example population or travel time after a planned expansion, it is an estimate. We show the assumptions and the range, never just a single figure.Always marked Forecast and never to be confused with measured data.
How do I cite one of your analyses?

Give MapAndMove as the source and the original source as the basis, for example: Source MapAndMove, processing of data from SCB and Trafiklab. Download the PDF summary below for a full list.

Can I use your layers?

Yes, with MapAndMove credited as the source. Layers built on OpenStreetMap are shared on the same terms as ODbL.

How reliable are the forecasts?

They are as reliable as their assumptions. We always show a range and state what the forecast is based on. Use them to compare, not as the final answer.

Processing

How we have processed the data.

The same six steps apply to every source, from the original source to the figure you see. For each measure on the map, Material and processing shows which source and which calculation apply right there.

  1. 1RetrievalThe data is fetched directly from the original source, via open APIs or file downloads. We record when it was fetched and which version it is.
  2. 2ValidationCodes and names are checked against SCB's code lists for counties, municipalities, RegSO and DeSO. Missing values are left blank, never zero.
  3. 3Linking to areasPoints such as schools, stops and health centres are placed in the right area using boundaries from Lantmäteriet and SCB.
  4. 4CalculationRaw counts are converted into comparable measures, for example per inhabitant, median or share. Travel times are calculated from public transport timetables and the road network.
  5. 5ComparisonEach measure is shown on its own, with Sweden as a whole as the reference. We never combine measures into a score or a ranking.
  6. 6UpdatesWhen the source publishes new data we rerun the same steps. Changes and corrections are listed under Updates.
Why does a figure differ from the source's own?

Usually because we convert to the same measure for all areas, for example per inhabitant, or because the source has published new data since we last fetched it. The date is shown next to each measure.

How are small numbers handled?

Areas with too few inhabitants or events for a reliable figure are not shown. We follow the source's own rules on confidentiality and rounding.

Found an error?

Write to us. The correction is listed under Updates with a date.

Download

Where can I download the data?

Tick the sources you want and download a combined summary: name, licence and link to the original source where the data is fetched.

Choose sources

    The PDF summary is a receipt: the selected sources with licence, link and terms, how the data was processed, the date and a summary ID. Sources that require an account or API key are marked; the account is usually free. Choose Save as PDF in the print dialog.

    Sources with an unclear licence are included for completeness. Ask us before you reuse them.