Gumly Gumly (2652) median house price & property market
In Gumly Gumly (2652), the median house price is $1,505,000. Prices have grown 34.5% a year over the last five years. Below: price history, sales volume, listing age and demographics for Gumly Gumly, in the Wagga Wagga LGA — built on NSW Valuer General bulk sales data and SQM Research listings.
Data updated 2026-10-19.
Quarterly medians from NSW Valuer General sales. Latest point is the trailing 12-month median, as in the terminal.
Gumly Gumly median house price
- Median house price
- $1,505,000 (10 sales)
- Median all dwellings
- $1,505,000 (10 sales)
Gumly Gumly price growth (CAGR)
- 1-year CAGR
- 33.8%
- 3-year CAGR
- 49.5%
- 5-year CAGR
- 34.5%
- 10-year CAGR
- 11.5%
Gumly Gumly market activity
- Annual sales (last 12mo)
- 14
- Annual sales (5y avg)
- 11
- Median listing age
- 62 days
Gumly Gumly demographics & location
- Population (ABS 2021)
- 450
- Population growth 2016-21
- 8.4%
- Median age
- 34
- Median weekly household income
- $1,983
- Median weekly rent
- $265
- Owner-occupier
- 86%
- Rented
- 14%
- Dwelling mix (house / townhouse / unit)
- 100% / 0% / 0%
- SEIFA decile (10 = highest)
- 7
- Distance to Sydney CBD
- 373.5 km
Charts back to 1990, screener, property estimator, macro overlays. Free.
Other suburbs in Wagga Wagga
Frequently asked
What is the median house price in Gumly Gumly?
The median house price in Gumly Gumly 2652 is $1,505,000, the median of 10 NSW Valuer General house sales in the 12 months to October 2025.
How much has property grown in Gumly Gumly over 5 years?
Compound annual growth (CAGR) for Gumly Gumly over the last 5 years is 34.5%.
How many properties sell in Gumly Gumly per year?
Around 14 properties sold in Gumly Gumly 2652 in the last 12 months.
What is the population of Gumly Gumly?
Gumly Gumly 2652 has a population of 450 (ABS Census 2021).
How long do properties take to sell in Gumly Gumly?
The median listing age (a proxy for days on market) in Gumly Gumly 2652 is approximately 62 days, from SQM Research listings data.
Methodology
Medians computed from NSW Valuer General bulk sales data using nearest-month estimation with 3-month smoothing and 3× outlier rejection. CAGRs computed from trailing 12-month medians at each anchor point. The trailing 1–3 months of data are filtered when sale counts fall below typical volumes (settlement-lag handling). Listing age is derived from SQM Research bucketed listing-age data using midpoint medians. Demographics: ABS Census 2021. SEIFA: ABS SEIFA 2021. Full methodology →