Grand Rapids, MN Real Estate Market Summary – September 8, 2026

In Grand Rapids, MN, the real estate market saw a total of 22 properties sold in the last 30 days, averaging 0.73 sales per day. The average sale price during this period was $388,410, with homes typically spending about 18 days on the market before being sold.

Metric 30 Days
Number Sold 22
Sold Per Day 1 every 1.36 days
Average SQFT 2047
Median Sales Price $275,000
Average Sales Price $388,410
Average Price Per SQFT $209
Average Days on Market 18
Average Year Built 1980

 

Grand Rapids, MN Single Family Home Analysis

For single-family homes, there were 20 properties sold, with an average price of $402,301. The average living area of these homes was 2,106 square feet, and they averaged 18 days on the market.

Metric 30 Days
Number Sold 20
Sold Per Day 1 every 1.50 days
Average SQFT 2106
Median Sales Price $285,000
Average Sales Price $402,301
Average Price Per SQFT $213
Average Days on Market 18
Average Year Built 1978

 

Grand Rapids, MN Condo & Townhome Analysis

In the condo and townhome sector, only 2 properties were sold, each with an average sale price of $249,500. These homes had a living area of 1,456 square feet and spent about 22 days on the market before being sold.

Metric 30 Days
Number Sold 2
Sold Per Day 1 every 15.00 days
Average SQFT 1456
Median Sales Price $249,500
Average Sales Price $249,500
Average Price Per SQFT $172
Average Days on Market 22
Average Year Built 2005

 

Buyer & Seller Analysis

  • Average pace of listings: 1 every 1.36 days across the total market.
  • Average days on market before sale was 18 days for all homes.
  • Median sale prices: $275,000 for all, $285,000 for single-family, and $249,500 for condo/townhomes.
  • The average price per square foot for all sold properties was $209.
  • Please note the state does not disclose sale prices.

Conclusion

Overall, the Grand Rapids market indicates a consistent level of activity, particularly in the single-family home segment. Prospective buyers and sellers can utilize this data for informed decision-making.

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