NSW · Snowy Monaro Regional Council
Median house price · October to December 2025
$1,268,000
Housing snapshot
Using this data? Cite or embed. Publishers
Suburb profile
Ingeegoodbee is a rural locality in New South Wales, in Snowy Monaro Regional Council.
Local amenities are a relative strength, placing it among the highest-ranked rural localities. Population growth is an exceptional strength, and recorded road crashes are a relative strength, with recorded road crashes 69% below the peer median. The clearer weaknesses are higher housing costs and weaker employment, with median house prices 81% above the peer median.
Ingeegoodbee is a better fit for people who value local amenities more than lower housing costs.
Generated from the official metrics on this page. It can omit nuance or contain errors — check the tables and source notes before relying on it.
Strengths and weaknesses
Rural locality · compared with rural localities in New South Wales (2685)
Nothing distinctive beyond the usual profile.
Who it suits
Housing, growth and risk
A quick read of housing, growth, livability, and risk
Median house price
$1.27M
-6.5% change
Median rent
$630/wk
Houses $668 · Units $550
Population (ERP)
—
No data available
Dwelling vacancy
—
No data available
Relative standing using percentiles, ranks, and national deciles
Crime rate
22nd
percentile in state (higher = more crime)
Quick scan — open a section below for full context
Median weekly rent from NSW DCJ rent tables. Figures can be unreliable where few bonds were lodged in the quarter.
Contributes to desirability score · Housing (10%) · Future Growth (6%)
Household crowding and healthy vacancy — not cheapness Modest price change as a healthy-growth band
Data sources & freshness
2021 Census
Contributes to desirability score · Community (12%) · Accessibility (12%) · Future Growth (6%)
Employment, household income and owned-outright tenure (2021 Census) Work-from-home and public-transport commute shares (2021 Census) Five-year population change as a healthy-growth band, not a boom bonus
Data sources & freshness
The 2026 Census was conducted in August 2026; suburb-level updates are expected from mid-2027.
41st percentile in NSW · -9% vs Australia
18th percentile in NSW · -17% vs Australia
91st percentile in NSW · +59% vs Australia
31st percentile in NSW · -10% vs Australia
83rd percentile in NSW · +25% vs Australia
Australian Taxation Office Taxation Statistics 2023–24, individuals Table 25. Figures describe taxpayers who live in postcode 2627 — not a suburb-level official statistic. Rental investment is the share of local taxpayers reporting rental income or loss, not the share of local properties owned by investors.
Percentiles rank this postcode among unique postcodes in NSW, so suburbs that share a postcode are not counted twice. Dollar figures are compared with Australia-wide ATO medians from the same release. Median net rent is among taxpayers who reported the rent label and can be negative.
Data sources & freshness
No 2021 Census cultural diversity data for this suburb yet.
Data sources & freshness
The 2026 Census was conducted in August 2026; suburb-level updates are expected from mid-2027.
Offence counts are estimated for this suburb from postcode 2627, which is shared with other suburbs.
Reported offences decreased compared with the previous period.
Contributes to desirability score · Safety (22%)
Crime rate, offences against the person, year-on-year trend and recorded road crash rates
Data sources & freshness
Government school intake zones that overlap this suburb boundary. Living in a catchment does not guarantee enrolment; check the education authority.
Contributes to desirability score · Education (14%)
Median school ICSEA first, then school and catchment counts
Data sources & freshness
7 mapped amenities
4 campgrounds
Names and addresses from OpenStreetMap. Unnamed venues show as their type (e.g. Cafe). Transport stops are summarised by type rather than listed individually. Campgrounds, beaches, wineries and local trails are included when they sit inside the suburb boundary.
Contributes to desirability score · Lifestyle (12%)
Food, shopping, recreation and sport per 1,000 residents (OpenStreetMap)
Data sources & freshness
Green cover is the share of this suburb's boundary overlapping OpenStreetMap parks, woodland and forest polygons — not a satellite tree-canopy product. Summer maximum is the WorldClim / Open-Meteo seasonal normal already collected for Weather.
Contributes to desirability score · Environment (12%)
Tree canopy first, then green-cover area and parks per 1,000
Data sources & freshness
GP clinic counts from OpenStreetMap. Bulk-billing figures only include clinics tagged in OSM (sparse and unofficial — not a Medicare list).
Contributes to desirability score · Accessibility (12%)
Hospitals, GPs and aged care
Data sources & freshness
Active NDIS participants allocated from NDIA Statistical Area Level 2 (SA2, ASGS 2016) counts to this suburb boundary. Not an official suburb-level NDIS figure · as at 31 March 2026.
For NDIS spend and service-demand exploration by SA2 or postcode, see the Care Sector Demand Map.
Data sources & freshness
Typical conditions by season for suburbs in the same ~44 km climate area. Rainfall totals are summed from monthly WorldClim layers; rainy-day counts are approximate.
Contributes to desirability score · Lifestyle (12%)
Temperature and humidity comfort
Data sources & freshness
Bushfire overlay checked at suburb centroid via NSW bush fire prone land mapping. Flood cover uses NSW flood planning polygons against the suburb boundary.
Contributes to desirability score · Safety (22%)
Bushfire and flood hazard overlays
Data sources & freshness
Two-party preferred (2025)
Estimated suburb voting profile
Estimated from 8 nearby ordinary polling places (up to 93.8 km away).
10.0 percentage points more Coalition-leaning than the electorate
Estimated swing since 2022: -1.1 pp toward Coalition
Nearest polling places
Federal electorate from AEC federal division boundaries (2025 redistribution). Division-level results are official AEC figures from the latest general election, with by-election updates where applicable. The estimated suburb profile blends up to eight nearest ordinary polling booths in the same electorate using inverse-distance weighting from the suburb centroid — an approximation, not official AEC data. Nearest polling places are shown for reference.
Data sources & freshness
Other suburbs in the same local government area.