Lloyd vs Moorong
Lloyd is the younger of the two, with a median age of 32 against 37 in Moorong. In both, the large majority of households own their home and the large majority of homes are detached houses. In Lloyd, about half of households are couple families. In Moorong, the large majority of households are couple families. Houses cost more in Moorong: a median of $1.57 million, against $762,000 in Lloyd, though rent is higher in Lloyd. On these figures, Lloyd tends to suit buyers on a tighter budget, while Moorong suits couples.
Which one suits you?
There is no overall winner — the suburb that suits a family with school-age kids is routinely the wrong one for someone commuting into the city. So each of these answers its own question, against a checklist you can see, using the same figures in the tables below.
Families with school-age kids
Moorong
ahead on 2 of the 6 things we measure here
- has more parks and reserves (5 vs 2)
- is already more of a family suburb (92% vs 66%)
- But Lloyd carries lower crime risk (57/100 vs 95/100)
Weighs schools, house stock, crime, parks, childcare, and who already lives there.
First-home buyers
Lloyd
ahead on the one thing that separates them
- has cheaper houses ($762,500 vs $1,575,000)
Weighs house prices and mortgage stress.
Renters
Moorong
ahead on 2 of the 3 things we measure here
- leaves renters under less rental stress (10% vs 19%)
- has cheaper rent ($300/wk vs $420/wk)
Weighs rent, rental stress, and how much is for rent.
Commuting to the city
Moorong
ahead on the one thing that separates them
- has a shorter drive in (296 min vs 302 min)
Weighs distance, drive time, and walkability.
Downsizers and retirees
Lloyd
ahead on the one thing that separates them
- carries lower crime risk (57/100 vs 95/100)
Weighs smaller dwellings, who already lives there, GPs, walkability, and crime.
Investors
Lloyd
ahead on the one thing that separates them
- is growing faster (80.1% vs -1.1%)
Weighs population growth.
Where they sit
Lloyd and Moorong drawn to the same scale. Both outlines are shown together, so the map answers whether they share a border and how their areas compare.
Bars start at zero. Scores, risks and rankings are drawn against their full 0–100 range; other rows are drawn in proportion to the larger of the two.
Side by side, out of 100
Risks are inverted — shown as safety and low exposure — so a longer bar always means better.
Demographics
Lloyd has more residents (1,509 vs 175); Lloyd rents higher ($420/wk vs $300/wk).
| Lloyd | Moorong | |
|---|---|---|
| Population | 1,509 +88% vs other | 175 |
| Population trend (2016 → 2021) | +80.1% | -1.1% |
| Median age | 32 | 37 |
| Median household income | $116,844/yr | $153,348/yr +31% vs other |
| Median weekly rent | $420/wk +29% vs other | $300/wk |
Age profile
Share of residents in each band, 2021 Census.
Bars are drawn against the largest share shown (20.6%).
Who lives together
Household composition, 2021 Census.
Who owns and who rents
Occupied private dwellings by tenure, 2021 Census.
Where residents were born
Largest overseas birthplaces, as a share of all residents, 2021 Census. A dash means that country is not among the suburb's own eight largest.
Bars are drawn against the largest share shown (2.3%).
Qualifications
Highest non-school qualification, residents 15+, 2021 Census.
Bars are drawn against the largest share shown (17.3%).
What people live in
Occupied private dwellings by structure, 2021 Census.
Property market
| Lloyd | Moorong | |
|---|---|---|
| Median house price | $762,500 | $1,575,000 |
| Median unit price | $604,500 | — |
| Median land price | $294,500 | — |
| Typical days to sell (houses) | 40 days from 43 sales | — |
Zoning mix
Moorong has more rural and farming land (60% vs 19%); Lloyd has more land zoned for conservation (33% vs 13%).
| Lloyd | Moorong | |
|---|---|---|
| Rural and farming | 19% | 60% |
| Residential | 38% | 5% |
| Environmental | 33% | 13% |
| Parks and recreation | 3% | 17% |
| Infrastructure and transport | 8% | 4% |
| Industrial | 0% | 1% |
| Zoning sets what may be built, not what is there today. A single address can sit in a different zone to the suburb around it. Zones as at 2026-09. | ||
Development activity
| Lloyd | Moorong | |
|---|---|---|
| New dwellings approved | 548 across Wagga Wagga same for both | |
| Approvals change year on year | +139% same for both | |
Gross rental yield
| Lloyd | Moorong | |
|---|---|---|
| Houses | 4.2% $680/wk on $850K | — |
| Units | — same for both | |
Ranking within NSW
| Lloyd | Moorong | |
|---|---|---|
| House price | Higher than 31% of NSW | Higher than 77% of NSW |
| Income | — | Higher than 95% of NSW |
| Schools | — same for both | |
| Walkability | Higher than 55% of NSW | Higher than 50% of NSW |
| Affordability | — | Higher than 62% of NSW |
| EV adoption | Higher than 39% of NSW | Higher than 38% of NSW |
| NBN connectivity | Higher than 97% of NSW | Higher than 64% of NSW |
| Rental yield (houses) | Higher than 80% of NSW | — |
Liveability
| Lloyd | Moorong | |
|---|---|---|
| Grade | B | — |
| Score | 52/100 | — |
| Socio-economic band | very advantaged area decile 9/10 | very advantaged area decile 10/10 |
Risk profile
Moorong carries more bushfire risk (31 vs 0); Moorong carries more crime risk (95 vs 57).
| Lloyd | Moorong | |
|---|---|---|
| Bushfire | None 0/100 | Low 31/100 |
| Crime | Moderate 57/100 | High 95/100 |
| Flood | Not mapped no mapped data here same for both | |
| Coastal erosion | None 0/100 same for both | |
| Aircraft noise | None 0/100 same for both | |
| Industrial facilities nearby | 0 within 5 km | 2 within 5 km |
Schools
| Lloyd | Moorong | |
|---|---|---|
| Inside the suburb | 0 | 1 |
| Rated above peers | 0 same for both | |
| Rated at peers | 0 same for both | |
| Rated below peers | 0 same for both | |
Schools in Lloyd
No schools recorded inside this suburb's boundary. Children here will be zoned to schools nearby.
Schools in Moorong
- Riverina Environmental Education Centre Government · Combined
Amenities in the suburb
| Lloyd | Moorong | |
|---|---|---|
| Parks & reserves | 2 | 5 |
| Childcare | 1 | 0 |
| Fuel stations | 0 | 1 |
| Waterways | 0 | 1 |
Mobility
| Lloyd | Moorong | |
|---|---|---|
| Walkability score | 9/100 | 6/100 |
| Distance to Sydney | 463.2 km | 462.3 km |
| Drive time (normal traffic) | 302 min | 296 min |
| Electric vehicle share | 0.4% postcode 2650 same for both | |
| Rooftop solar per 100 dwellings | 45 postcode 2650 same for both | |
How people get to work
Method of travel on census day 2021 — which fell during COVID restrictions, so working from home is inflated and every travel mode understated.
Bars are drawn against the largest share shown (84.6%).
Setting
| Lloyd | Moorong | |
|---|---|---|
| Elevation | 293 m above sea level, at the suburb centre | 186 m above sea level, at the suburb centre |
NBN connectivity
| Lloyd | Moorong | |
|---|---|---|
| Connectivity score | 95/100 | 43/100 |
| Most common technology | Fibre to the premises | Fibre to the node |
| Full-fibre (FTTP) share | 91% 803 premises | 5% 93 premises |
Climate
| Lloyd | Moorong | |
|---|---|---|
| Annual rainfall | 565 mm same for both | |
| Summer max (Jan) | 31.8°C same for both | |
| Winter min (Jul) | 3.4°C same for both | |
Air quality (annual mean)
| Lloyd | Moorong | |
|---|---|---|
| PM2.5 | 7.7 µg/m³ same for both | |
| PM10 | 23.1 µg/m³ same for both | |
| NO₂ | — same for both | |
Council rates
| Lloyd | Moorong | |
|---|---|---|
| Average residential rate | $1,254/yr same for both | |
| Council | Wagga Wagga same for both | |
Federal electorate
| Lloyd | Moorong | |
|---|---|---|
| Division | Riverina same for both | |
| Member | Michael Mccormack same for both | |
| Party | The Nationals same for both | |
First Home Owner Grant
| Lloyd | Moorong | |
|---|---|---|
| Grant amount | $10,000 same for both | |
| Property price cap | $600,000 same for both | |
| Eligibility | New same for both | |
Tags
More comparisons
Other comparisons with Lloyd
Other comparisons with Moorong
Information shown is provided as-is from Australian government and commercial data sources.
Always verify with the relevant authority before making property decisions.
See Data Sources and How We Calculate for details.