Sweden - House Price Index

Sweden: House Price Index

Mnemonic HPI.ISWE
Unit 1981=100, NSA
Adjustments Not Seasonally Adjusted
Quarterly 0.57 %
Data 2022 Q3 1,049
2022 Q2 1,055

Series Information

Source Statistics Sweden
Release Real estate prices and registrations of title [HPI]
Frequency Quarterly
Start Date 3/31/1986
End Date 9/30/2022

Sweden: Real Estate

Reference Last Previous Units Frequency
Building Completions 2022 Q3 10,109 12,038 #, SA Quarterly
Building Permits 2022 Q3 2,689 3,523 Number, NSA Quarterly
House Price Index 2022 Q3 1,049 1,055 1981=100, NSA Quarterly
House Price Index for Existing Homes 2022 Q3 137.36 143.17 Index 2015=100, NSA Quarterly
House Price Index for New Homes 2022 Q3 149.34 145.2 Index 2015=100, NSA Quarterly
Non-residential Building Permits 2022 Q3 1,222 1,385 Number, NSA Quarterly
Residential Building Permits 2022 Q3 1,467 2,138 Number, NSA Quarterly
Residential Housing Starts 2022 Q3 10,304 15,890 #, NSA Quarterly

Release Information

For Sweden, a real estate price index for one- and two-dwelling buildings for permanent living (1981=100) by region and period. Real estate price index estimates the price and value developments in the existing house stock.

This dataset contains both monthly and quarterly series, of which Data Buffet banks only the latter.

  • Measurement: Fixed-base index relative to 1981 (Index 1981=100)
  • Adjustment: Not seasonally adjusted (NSA)
  • Native frequency: Quarterly
  • Start date: 1986Q1
  • Geo coverage:
    • Country
    • NUTS 2 areas (all 8 ISWE_^^)

The source writes:

One- or two-dwelling buildings for permanent dwelling include detached one- or two-dwelling buildings, terraced houses and linked buildings. Real estate with site leasehold rights are included.

The index is constructed out of house prices and the values from the Real Estate Tax Assessment Register.

The data used for a specific period is the sold properties for that specific period. The data set is not using a repeated sales method (matching real estate), but there is a possibility that a specific real estate made in t-1 also is included in the period t. For example: someone buys a real estate in January and is not satisfied and sells it in June. This real estate will be included in 1st quarter and 2nd quarter, but it is actually two purchases.

The source is not using information regarding the valuation banks and financial institutes uses when they issue loans in our calculations.

Additional information from the source:

The Real Estate Price Index for one- and two-dwelling houses estimates the changes in prices and values of all one- and two-dwelling houses. The Real Estate Price Index, unlike other indices and statistics on real estate, takes into consideration that houses sold might not be a random sample of all real estates and that the mix or composition of houses sold may vary from one year to the next.

To calculate the Real Estate Price Index, we use information from both the register of all real estate, one- and two-dwelling houses, as well as information of sold properties. Data from the two sources are divided into classes according to assessed value and region. Studies have shown that assessed value is an acceptable variable for classification. The purchase price mean is calculated for each cell (region and assessed value-class). A weighted mean of means is calculated. The weights are the number (or frequency) of real estates according to the register. The index is calculated as Laspeyres chain index and published as integer values only.

Moody's Analytics supplements

For all reported series, we have constructed seasonally adjusted counterparts.