Malmö

The house price is Kolada N07915: average price for registered house sales, that is prices paid and not asking prices. The flat price is N07908, SEK per square metre. New construction is N07916, completed homes per thousand residents. The price change is measured between the two years closest to five years apart in the series, with both years spelled out.

Upper-secondary eligibility is Kolada N15428: the share of year 9 pupils eligible for a vocational programme, all pupils of the home municipality regardless of provider. Post-secondary education is N01982. The institutions come from data/education_data.json. The school rows come from the National Agency for Education's open API (planned-educations) and carry the latest year with a value per school; preschools are OpenStreetMap points without quality data and are therefore not in the list.

The health centres and emergency departments are points from OpenStreetMap (ODbL), the same source as the map's "Health & care" layers. The count is the points located inside the municipality; the distances are as the crow flies from the main town and are searched across the whole country, so the nearest emergency department may well sit in another municipality. We deliberately show no "nearest hospital" row: OSM's hospital tag covers everything from university hospitals to osteopathy clinics, and such a row would have pointed at the wrong building. Waiting times per health centre do not exist as open, joinable data, and Kolada's measures of primary-care access are reported per REGION, not per municipality — which is why no such figure appears here. The safety figure is Kolada N00610 from Statistics Sweden's citizen survey on behalf of SALAR — a survey, so perceived safety. Violent crime is N07403, reported offences per 100,000 inhabitants according to Brå. The citizen index is N00670 or N00667, the municipality as a place to live. The bar chart shows five offence types per 100,000 inhabitants, reported by place of offence, and the national median beside it is computed across all 290 municipalities in the same year.

Unemployment is Kolada N02280: openly unemployed and jobseekers in programmes, aged 16–64, as a share of the register-based labour force. Median income is N00906, aggregate earned income. Out-commuting is N02279. Workplaces come from Statistics Sweden's business register (2025); the per 1,000 residents figure is our own processing using Statistics Sweden's population for the same year.

Stops, lines and departures are counted from Samtrafiken's GTFS feed for a normal week. A stop is counted once even if several lines call there. Travel times in the journey planner are computed by our own MOTIS instance on the same GTFS data plus OpenStreetMap's road network. The airport at the bottom is the one with the most domestic routes among those at most 50 km farther than the nearest, measured as the crow flies from the main town. It is not necessarily the fastest to reach, and the route list is scheduled domestic traffic, without charter or international routes.

Commuting is Kolada N02276 and N02279, share of the employed. Departures are counted from KoDa's archive of GTFS timetables in the same ISO week each year, for operators present throughout; departures are stop calls, not trips. Access is Kolada N07418, in percentage points.

Extra cost is a model, not statistics: the municipality's petrol, diesel and hybrid cars in traffic (Trafikanalys) divided by the number of households (Statistics Sweden), times the county's average mileage per passenger car (Trafikanalys, not available per municipality), 0.065 litres per km, SEK 17 per litre and a price rise of 20 %. The model does not account for people driving less when prices rise, for company cars or for leased cars being registered where the company is. Heating oil is Statistics Sweden's final use of fossil liquid fuel in homes. The sub measures are shown separately; we do not combine them into an index. Our own processing, not official Trafikanalys statistics.

Nature reserves and protected area come from the Swedish Environmental Protection Agency's open data, lakes and watercourses from Lantmäteriet's map data, trails from OpenStreetMap and bathing spots from the Swedish Agency for Marine and Water Management's bathing site register. Distances to national parks are as the crow flies from the municipality's largest locality.

The figures are our own counts from the sources' map data: points and burnt areas belong to the municipality they lie in, zones and coastlines are clipped to the municipal border. Landslide risk and coastal erosion are only mapped in some areas, so a municipality with no figure there is unmapped, not risk free. SGU's landslide mapping, flood mapping, ground movement and groundwater aquifers exist as map layers but are not counted per municipality here. The sources are coarse and show where the risk should be investigated, not that it exists.

Daylight is derived from the municipality's latitude using the standard sunrise/sunset formula, ignoring clouds and horizon. Snowfall days and sunshine hours come from SMHI: a snowfall day is a day with at least 1 mm of precipitation and a below-freezing daily mean at the nearest station, median over the 1991-2020 normal period, which is not the same as how many days snow lies on the ground. Sunshine hours are SMHI's STRÅNG radiation model 2020-2024. The wind curves come from SMHI station observations 1991-2020, one file per municipality; when it is missing the cards are hidden rather than showing zeroes.

Population is Kolada N01951, Statistics Sweden's register-based population on 31 December. The five-year change is measured between the two years in the series closest to five years apart, with both years spelled out. The projection is Statistics Sweden's regional population forecast and exists only for population.

Observed population from Statistics Sweden via Kolada. The projection is Statistics Sweden's own official population projection; we do not calculate it ourselves. Average price for registered house purchases. Housing prices are deliberately NOT projected: they revert strongly to the mean over five years, so a linear trend often gets the sign wrong in exactly the interval you want to predict. Total earned income, MEDIAN for residents aged 20–64 (Kolada N00906). No projection; we show outcomes only. Unemployment over time is Kolada N03920: unemployed registered with the Public Employment Service as a share of the whole population aged 18 to 65, not of the labour force, and therefore lower than the figure under Jobs (N02280, only available from 2020). No projection, because the business cycle drives it and it is not linear. Unemployment benefit is Kolada N02890: share of residents aged 20 to 64 who received unemployment insurance at some point during the year, from IAF. It is the longest series, from 1999, but only counts those entitled to benefit. The national median is the median of all municipalities in the same year, from the same Kolada series. The what if slider only scales Statistics Sweden's own path.

Governance is SKR's classification via Kolada (N05829). SKR counts MP as a left party only from 2022, so a municipality can change category between 2018 and 2022 without its governance changing. The election result is the municipal council election from SCB ME0104, not the general election. Finances refer to the municipality as an organisation, from Statistics Sweden's accounts via Kolada; the national median is the median of all municipalities in the same year.

Net cost is what services cost after fees, rents and earmarked state grants, i.e. what is paid with tax, general state grants and equalisation. It comes from Statistics Sweden's municipal accounts (OE0107), in current prices, divided by the population on 31 December. Business operations such as water and municipal companies are excluded, so a municipality that runs schools or premises through a company looks cheaper in investments. Similar municipalities are RKA's seven most structurally similar ones (Kolada). Cost level is RKA's net cost deviation: how much more or less the municipality spends than its structure justifies according to cost equalisation. Long term debt also includes loans passed on to municipal companies.