Berrien Springs Residential Sales Market Data
Historical Residential Real Estate Trends & Seasonal Temperature Correlation
4-Year Market Summary
Annual totals for Berrien Springs residential sales (49103)
| Year | Homes Sold | Avg Median Price | Total Volume | Avg Sale-to-List | Avg CDOM |
|---|---|---|---|---|---|
| 2022 (11 mo) | 86 | $269,005 | $27,995,221 | 95.4% | 47 days |
| 2023 | 100 | $310,646 | $32,907,524 | 94.1% | 50 days |
| 2024 | 80 | $323,624 | $28,934,395 | 93.5% | 48 days |
| 2025 | 86 | $355,815 | $36,376,530 | 94.8% | 57 days |
| 2026 (Jan only) | 7 | $241,000 | $2,130,500 | 91.1% | 64 days |
Average median sale prices have risen steadily from ~$269K in 2022 to ~$356K in 2025 — a 32% increase over four years. Total dollar volume peaked in 2025 at $36.4M despite fewer total transactions than 2023, indicating higher-value properties are trading. Sale-to-list ratios have stayed in the 91–95% range, meaning buyers are consistently negotiating 5–9% off original ask.
Sales Activity & Temperature Correlation
Does weather drive home sales in Berrien Springs? The data says yes.
Monthly Sold Listings vs. Average Temperature
MLS sold listings overlaid with Weather Spark average monthly temperatures for Berrien Springs, MI
Average Sales by Month (4-year average)
The Pearson correlation of r = 0.59 confirms a moderate-positive relationship between temperature and sales volume. During warm months (May–Aug, avg 59–73°F), Berrien Springs averages 10.2 homes sold per month. During cold months (Dec–Feb, avg 26–31°F), that drops to 5.5 per month — roughly half the activity. For sellers, listing between May and September means significantly more buyer traffic. For buyers, winter months present less competition.
Market Metrics Over Time
Median sale prices, inventory, days on market, and negotiation ratios — 48 months
Median Sale Price
Monthly median sale price for closed residential transactions
Inventory: Active, New & Sold
Monthly supply and demand dynamics
Cumulative Days on Market (CDOM)
How long homes sit before selling — lower is faster
Sale-to-List Price Ratio
Final sale price as % of list — 100% = full ask
Absorption Rate
Months of inventory — the key indicator of market balance
Monthly Absorption Rate
Under 3 months = seller’s market • 3–6 months = balanced • Over 6 months = buyer’s market
Berrien Springs has spent the majority of this 4-year period in seller’s or balanced territory. The market loosened significantly in mid-to-late 2024 (absorption rate hit 5.78 in Sep ’24 — close to buyer’s market), but has since tightened back to 2.51 as of Jan 2026. The only time the market tipped into true buyer’s territory was Jan 2023 at 6.78 months of inventory.
Complete Monthly Data All 48 months — click to expand ▸
| Month | Temp °F | Active | New | Pended | Sold | Median Sale $ | Avg Sale $ | Absorb Rate | Sale/Orig % | Sale/List % | Avg CDOM |
|---|
Year-over-Year Comparison
Select any month to compare across all years in the dataset
How This Data Is Calculated — MLS Methodology
Active listings are those which were active on a single day of the month, providing a “snapshot.” The 15th of each month is used. The number of actives is not static and depends on when the report is run.
New listings are all properties put on the market during the entire month.
Sold listings are all properties whose sales contracts were completed (closed) during the month.
Median price is the middle value — half of prices are higher and half are lower. If the number of values is even, the two central values are averaged.
Sale-to-Original List Price Ratio compares the final sale price to the original list price when first listed. Sale-to-List Price Ratio compares to the most recent list price (after any price changes).
CDOM (Cumulative Days on Market) counts total days from initial listing to contract, including any relisting periods.
Absorption Rate = Active Listings ÷ Average Monthly Sales. Represents how many months it would take to sell all current inventory at the current pace. Under 3 months favors sellers; over 6 months favors buyers.
Temperature correlation uses Pearson’s r coefficient to measure the linear relationship between average monthly temperature and number of homes sold. A value of 0.59 indicates a moderate-positive correlation — temperature alone doesn’t determine sales, but it’s a meaningful factor in seasonal patterns.