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residential registry general description

davidmagnussonvalueguard edited this page Dec 14, 2023 · 12 revisions
  • Based on official data from the Swedish Land Registry (Lantmäteriet), but managed and improved by Valueguard and available through our easy to use API.
  • The residential registry contains more than 5.6 million homes in Sweden, of which 2.1 million are houses and 2.7 million are apartments.
  • We have correctly coded 85 percent of all tenancies and 99 percent of all cooperative housing.
  • We update the registry every quarter
  • The Residential Registry Markups helps you keep track of changes in the Residential Registry and adds additional information from other sources. Each row contains the ID of a home, new or additional information, and date of change or update. You can use this either to update the Residential Registry without downloading the entire dataset or to add additional fields of information coming from other sources than the official Real Estate Registry (Fastighetsregistret).
  • The variable "construction_year" is missing in 4 percent of houses and 22 percent of apartments. It is possible to mark up the build year in around 20 percent of these objects by using swedb_markup (sales and ads).
  • The variable "apartment_area" is missing in 1 percent of houses and 0.2 percent of apartments. The rate of missing "apartment_area" is much higher for some less common house types (i.e farms).
  • The registry is complete with number of rooms and kitchen type for apartments
  • The matching percentage of sold homes to the registry is 94.3 percent for sales within the last 12 months and 97.5 percent for all older sales

Markups Logic

The main residential registry table contains a snapshot of what homes exist in Sweden today, and what they are like. This snapshot is updated quarterly. All changes to this table are recorded in the Markups table. This means that you can use it to track changes over time and go back and look at what the Swedish housing market looked like X years ago. The Markups table also contains extra information from other sources, such as ads. For example, the build year of a house might be wrong or missing in the Land Registry database but we have recorded an ad saying it is X. We then add that in the Markups table, but not in the main residential registry table since that one contains only public information. Build year is a good example since it is often missing or faulty in the public records, especially for homes built before 1929 or for newly built homes.

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