The annual growth rate of lending to Swedish households rose to 3.2% in June 2026 from 3.1% in May, marking its highest level since January 2023. Housing loans, which accounted for 83% of total, increased by 3.3%, while consumer loans, representing 6% of household lending, grew by 1.1%. Lending to non-financial corporations also rose by 3.9%. Meanwhile, borrowing costs continued to ease, with the average interest rate on new housing loan agreements declining to 2.80% from 2.83% in May, while the average floating mortgage rate fell to 2.75% from 2.78%. The average fixed rate on new housing loans with maturities between one and five years also decreased to 3.21% from 3.25%. The average interest rate on new loans to non-financial corporations dropped to 3.31%, the lowest level since September 2022. On the funding side, household deposits increased to SEK 2,983 billion, with demand deposits accounting for 75% of total deposits, equivalent to SEK 2,225 billion. source: Statistics Sweden
The value of loans in Sweden increased 3.20 percent in June of 2026 over the same month in the previous year. Loan Growth in Sweden averaged 6.88 percent from 1976 until 2026, reaching an all time high of 23.50 percent in December of 1986 and a record low of -3.30 percent in June of 1993. This page provides the latest reported value for - Sweden Household Lending Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news. Sweden Household Lending Growth - data, historical chart, forecasts and calendar of releases - was last updated on August of 2026.
The value of loans in Sweden increased 3.20 percent in June of 2026 over the same month in the previous year. Loan Growth in Sweden is expected to be 3.10 percent by the end of this quarter, according to Trading Economics global macro models and analysts expectations. In the long-term, the Sweden Household Lending Growth is projected to trend around 2.40 percent in 2027 and 2.60 percent in 2028, according to our econometric models.