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ABS 2021 Census · Updated 21 May 2026
Ginghi is a regional centre in New South Wales, Australia, with a population of approximately 15, making it a boutique locality. Located approximately 178 km from the Sydney CBD, Ginghi is a regional area in New South Wales. The median household income is $84,448 per year.
Ginghi has a solid income profile that supports reliable occupancy rates. As a regional location, growth prospects depend on local economic conditions and infrastructure investment.
Official Australia Post postcode for Ginghi. A postcode may cover multiple suburbs.
Australia Post Postcode Finder →Usual resident population at the most recent census.
Weekly median rent for occupied homes. Live rental data integration coming soon.
Annual median household income (before tax) across all households.
Straight-line distance from the suburb centroid to the nearest capital city CBD. Actual driving distance will be longer.
Estimated 1 school within or near this suburb.
Find schools near Ginghi on My School →Estimated 1 park and green spaces near this suburb.
Monthly median mortgage repayment for households currently paying off a mortgage.
Proportion of separate houses versus units, townhouses, and other home types. Useful for investors assessing rental demand mix.
Ginghi is a smaller community of 15 — about 0% of the New South Wales suburb median (5,325) — so investors should factor in the narrower buyer pool and longer average time-on-market. Household income of $84,448/year is 13% below the New South Wales median of $97,552, typically translating into lower entry prices and a tenant base more sensitive to rent increases. Ginghi is 178 km from Sydney, so the local market tracks regional employment and lifestyle drivers more than CBD-driven commuter demand. Only 57% of dwellings are separate houses (vs 76% state median), so this is a unit-heavy market where body-corporate decisions and strata supply meaningfully shape investor returns.
How Ginghi stacks up against the median of all New South Wales suburbs in our dataset. Positive values mean Ginghi sits above the state median; negative means below.
| Metric | Ginghi | NSW median | Δ vs state |
|---|---|---|---|
| Population | 15 | 5,325 | -100% |
| Median household income | $84,448/yr | $97,552/yr | -13% |
| Distance to CBD | 178 km | 45 km | +296% |
| Separate houses | 57% | 76% | -19pp |
Pre-inspection briefing for Ginghi — every item is derived from public datasets, with full citations in our data sources page.
Limited buy-and-hold upside: a small population of 15 means liquidity is thin and capital growth tends to lag the wider New South Wales market over full cycles.
Median rental data was not captured for Ginghi. Use current realestate.com.au and Domain listings to triangulate a realistic weekly rent before committing, then feed that number into our rental yield calculator.
Only 57% of dwellings are separate houses (vs 76% NSW median) — this is a unit and townhouse market, where cosmetic flips struggle against body-corporate restrictions, thinner after-reno uplift and competing new supply.
Run the numbers on a Ginghi property
Scenario comparison, cash flow analysis, tax modelling, and PDF export — all in one place.
Create free account →Capital-growth expectations for Ginghi are modest for 2026 — incomes 13% below the NSW median of $97,552 and a population of 15 suggest gains will lag headline metro markets. Rental fundamentals will need to be verified against live listings, as a clean median rent was not recorded for Ginghi. The EquitySight investment score of 37/100 places Ginghi in the lower tier of Australian suburbs we profile, and overall investor sentiment is cautious heading into the second half of 2026.
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Ginghi scores 37/100 on our EquitySight investment framework — a weak rating. That score is driven by a population of 15, median household income of $84,448/year. Whether it fits your portfolio depends on whether you are targeting cash flow, capital growth, or a value-add renovation — all three are scored with suburb-specific numbers elsewhere on this page.
The main demand drivers in Ginghi are a median household income of $84,448/year, a dwelling mix that is 57% separate houses, roughly 1 schools and 1 parks within the catchment. Together these shape both owner-occupier and tenant demand and are the factors we weight most heavily in the suburb's investment score.
Ginghi has a usual resident population of approximately 15, compared with a New South Wales suburb median of 5,325 — placing it in the lower half of the state's suburbs by size. Population is the clearest proxy for market depth: more residents mean more transactions and typically a shorter average days-on-market on resale.
Ginghi sits 178 km straight-line from the Sydney CBD. This is a regional market where CBD distance is only indicative — local industry diversity and commute alternatives matter more.
A reliable median rent was not captured for Ginghi. Benchmark expected weekly rent on realestate.com.au and Domain, or the state rental tribunal's rent dashboard. Most Australian investors target a 4–5% gross yield as a baseline.
A reliable median mortgage figure was not captured for Ginghi. Use our loan serviceability calculator to estimate a realistic monthly repayment for your target purchase price and deposit.
Census data was not complete enough in Ginghi to compute a clean rent-to-mortgage coverage. Use current listings to benchmark weekly rent, then plug your expected purchase price into our rental yield calculator to see whether the investment runs cash-flow positive or negative.
The main risks are a thin buyer pool (15 residents), interest-rate sensitivity, the broader New South Wales market cycle. Each of these is covered in the Risk Factors section above with suburb-specific numbers rather than generic warnings.
Every number on this page comes from the ABS 2021 Census of Population and Housing, Australia Post postcode reference data, and OpenStreetMap amenity tiles. The investment score, strategy verdicts, and comparison table are computed deterministically from those inputs — no opinion, no estimation. See our full methodology and the data sources and licences for the formulas we use.