Understanding Swedish Administrative Regions: Län, Kommun, RegSO, DeSO
A guide to Sweden's four levels of geographic administration and what they mean for data analysis.
By Kommunanalys
Sweden’s geographic data is organized into four hierarchical levels. Understanding these levels is essential for anyone working with Swedish demographic data — whether you’re an investor, planner, or researcher.
Län (Counties) — 21 regions
Län are Sweden’s top-level administrative divisions. There are 21 counties, ranging from Stockholm (Sweden’s most populous) to Gotland (an island county in the Baltic Sea). Counties are useful for high-level comparisons and identifying broad regional trends.
Kommun (Municipalities) — 290 areas
Each county is divided into municipalities. Sweden has 290 kommuner, and this is the most commonly used level for analysis. Municipalities handle local services, planning, and taxation. They vary enormously in size — Stockholm kommun has nearly a million residents, while Bjurholm has fewer than 2,500.
RegSO (Regional Statistical Areas) — ~2,600 areas
RegSO areas were introduced by SCB to provide a statistical level between municipalities and neighborhoods. Each RegSO area contains roughly 10,000–30,000 residents. They’re useful for intra-municipal analysis — comparing different parts of a city, for example.
DeSO (Demographic Statistical Areas) — ~5,900 areas
DeSO is the most granular level, with each area containing approximately 700–2,700 residents. DeSO areas are designed to be demographically homogeneous — meaning residents within a DeSO area tend to share similar characteristics. This makes DeSO data incredibly valuable for neighborhood-level investment analysis.
Why granularity matters
For real estate investors, the difference between municipal-level and DeSO-level data can be the difference between a good investment and a great one. Two neighborhoods in the same municipality can have completely different demographic profiles — different age structures, income levels, and growth trajectories. DeSO-level data reveals these differences.
Using all four levels together
The most effective approach is to work top-down: start with county-level heatmaps to identify promising regions, drill into municipality-level data to compare specific areas, then use RegSO and DeSO data to pinpoint exact neighborhoods. This funnel approach is fast and systematic.