Red Deer condo market pulse.
Prices, monthly fees, and days-on-market are drawn from recent MLS activity in Red Deer and refreshed regularly.
Latest local CSV report
Imported at 2026-07-20T07:26:12.582Z from data\imports\matrix-condos.csv.
Imported rows: 2008-08-04 to 2026-07-08.
Active / pending: Detected from the Matrix status field.
Sold rows: Historical sold records in this export.
Median price: Median detected close/current/list price.
Median condo fee: Median detected monthly condo fee.
Median annual tax: Median detected annual property tax input.
Median size: Median detected RMS total size.
Median DOM: Median detected DOM/CDOM value.
Post-tension yes: Rows explicitly flagged yes in the export.
What the latest dated rows are saying.
Measured through 2026-07-08. The windows overlap so you can see both the short-term pulse and the larger context.
| Window | Rows | Active / pending / sold | Median sold/observed price | Median fee | Median annual tax | Avg DOM | Median $/sq ft | Median sold/list |
|---|---|---|---|---|---|---|---|---|
| 30 days | 33 | 16 / 2 / 15 | $182,250 | $479 | $1,433 | 47 days | $231 | 97% |
| 90 days | 87 | 35 / 2 / 50 | $192,500 | $489 | $1,648 | 44 days | $239 | 97% |
| 180 days | 139 | 41 / 2 / 96 | $204,500 | $483 | $1,679 | 45 days | $242 | 97% |
These are aggregate signals from the export's supplied status and stat-date fields. They are not a live MLS feed, a forecast, or a guarantee of current inventory.
How complete are the fields behind the summary?
Coverage is measured against imported rows before the site groups them into building clusters. A high percentage means the field was present, not that the value is independently verified.
Read the pulse in order
- Start with the 30-day window for the freshest observed activity.
- Use 90 days to soften one-off sales and see whether the fee and price relationship persists.
- Use 180 days for a broader comparison when the latest month is thin.
- Open the building explorer before treating a market number as relevant to a specific address.
Most observed condo building addresses in the export.
| Building address cluster | Rows | Active | Median price | Median fee | Median tax | Avg DOM |
|---|---|---|---|---|---|---|
| 56 Carroll Crescent Apartment · built 2001-2008 | 184 | 1 | $171,500 | $413 | $1,394 | 68 |
| 4805 45 Street Apartment · built 1990-1999 | 139 | 2 | $265,000 | $481 | $2,312 | 59 |
| 4512 52 Avenue Apartment · built 1999-2002 | 130 | 1 | $245,550 | $506 | $2,171 | 57 |
| 6 Michener Boulevard Apartment · built 2010-2015 | 127 | 0 | $282,500 | $412 | $2,505 | 75 |
| 18 Averill Street Apartment · built 2002-2018 | 126 | 1 | $237,700 | $334 | $1,960 | 59 |
| 260 Duston Street Apartment · built 2001-2003 | 106 | 0 | $180,000 | $393 | $1,497 | 54 |
| 31 Jamieson Avenue Apartment · built 2007-2011 | 103 | 0 | $181,000 | $150 | $1,543 | 47 |
| 5300 48 Street Apartment · built 2001-2003 | 93 | 1 | $245,000 | $452 | $2,025 | 59 |
| 69 Ironstone Drive Apartment · built 2007-2009 | 92 | 2 | $235,000 | $299 | $2,045 | 54 |
| 12A Ironside Street Apartment · built 2004-2014 | 91 | 2 | $191,800 | $296 | $1,540 | 52 |
| 60 Lawford Avenue Apartment · built 2001-2003 | 88 | 2 | $187,750 | $374 | $1,601 | 49 |
| 4902 37 Street Apartment · built 1978-1985 | 84 | 0 | $166,500 | $324 | $1,378 | 68 |
| 2660 22 Street Apartment · built 2008-2009 | 81 | 2 | $195,000 | $454 | $1,661 | 52 |
| 54 Bell Street Apartment · built 1981-1981 | 64 | 0 | $148,500 | $264 | $1,331 | 51 |
| 5213 61 Street Apartment · built 2007-2011 | 57 | 2 | $385,000 | $448 | $3,285 | 54 |
| 12B Ironside Street Apartment · built 2004-2005 | 57 | 1 | $204,000 | $344 | $1,632 | 56 |
Recent yearly condo trend
| Year | Rows | Median price | Median fee | Median tax | Avg DOM |
|---|---|---|---|---|---|
| 2026 | 144 | $205,000 | $484 | $1,661 | 45 |
| 2025 | 241 | $215,000 | $510 | $1,703 | 35 |
| 2024 | 256 | $196,000 | $472 | $1,535 | 38 |
| 2023 | 224 | $173,000 | $439 | $1,485 | 55 |
| 2022 | 206 | $179,950 | $425 | $1,733 | 75 |
| 2021 | 139 | $171,250 | $403 | $1,742 | 88 |
| 2020 | 95 | $156,000 | $386 | $1,692 | 83 |
| 2019 | 120 | $171,500 | $384 | $1,839 | 80 |
| 2018 | 110 | $180,250 | $389 | $1,833 | 81 |
| 2017 | 119 | $190,000 | $373 | $1,781 | 79 |
| 2016 | 138 | $193,000 | $347 | $1,703 | 80 |
| 2015 | 159 | $200,000 | $321 | $1,612 | 57 |
Imported style mix
| Style | Rows |
|---|---|
| Apartment | 2,112 |
| Apartment-Single Level Unit | 268 |
| Apartment-Low-Rise (1-4) | 251 |
| Apartment-Multi Level Unit | 75 |
| Apartment, Apartment-Low-Rise (1-4) | 51 |
| Apartment, Bungalow | 48 |
| Unmapped | 42 |
| Apartment-High-Rise (5+) | 19 |
| 3 (or more) Storey, Apartment | 14 |
| 2 Storey, Apartment | 13 |
| Apartment, Not Applicable | 11 |
| 4 Storey, Apartment | 9 |
| Apartment-Loft/Bachelor/Studio | 8 |
| Townhouse-Stacked | 7 |
| Apartment, Apartment-Penthouse | 7 |
| Apartment, Apartment-High-Rise (5+) | 5 |
| Apartment, Bi-Level | 4 |
| Apartment, Attached-Up/Down | 3 |
| Apartment, Other | 3 |
| Apartment-Penthouse | 2 |
| Apartment, Apartment-Low-Rise (1-4), Apartment-Multi Level Unit | 2 |
| Apartment-Low-Rise (1-4), Apartment-Multi Level Unit | 1 |
| Townhouse | 1 |
| Apartment-Loft/Bachelor/Studio, Apartment-Penthouse | 1 |
| 4 Storey, Apartment, Apartment-Penthouse | 1 |
Price bands
| Price band | Rows |
|---|---|
| $250k-$299k | 351 |
| $300k-$399k | 200 |
| $150k-$199k | 822 |
| $200k-$249k | 705 |
| Under $150k | 828 |
| $400k+ | 56 |
Fee bands
| Fee band | Rows |
|---|---|
| $450-$599 | 647 |
| $600-$799 | 163 |
| $300-$449 | 1,336 |
| $800+ | 29 |
| Under $300 | 783 |
| Unknown | 4 |
Post-tension flag
| Flag | Rows |
|---|---|
| No | 2,892 |
| Yes | 64 |
| Unmapped | 6 |
What kind of condos are in the export?
These counts use structured Style values from the imported rows. They describe the observed export, not the full city housing stock.
How the structured bedroom field distributes.
Use this to frame a search, then verify the actual unit layout and bedroom measurement.
Refresh checklist
- Refresh active, pending, and sold rows from the approved Matrix export.
- Review field coverage before relying on a thin segment.
- Compare the 30-, 90-, and 180-day windows before describing a trend.
- Open the building and neighbourhood evidence before treating a market signal as a property conclusion.
Where the site should pull data from.
- Central Alberta REALTORS Association / CREA stats: Board-level resale market context and official source attribution.
- City of Red Deer Interactive Web Map: Assessment map, neighbourhoods, land use, constraints, parcel context, and orthophotography.
- City of Red Deer Open Data Catalogue: Civic data that can support neighbourhood, amenity, mapping, and local due diligence pages.
- Alberta Real Estate Association statistics: Monthly Alberta resale housing reports and release cadence.