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General information only — not financial, investment, legal, or tax advice. Verify all data independently and seek professional advice before making investment decisions. Full disclaimer.
A $4 million childcare acquisition in the wrong catchment can sit at 60% occupancy for three years — tying up capital, locking the wrong fee tier into the lease and blocking reinvestment. A comparable centre a kilometre away, in a catchment with genuine undersupply, can reach 90% occupancy within eighteen months. The difference is rarely the operator. It is almost always the location.
The opportunity is real. Demand is supported by household formation and immigration. The question is whether you can identify that demand before it is priced in, and whether the site can physically deliver the centre the business case requires.
This guide takes you through the full process, whether you are opening a childcare centre, buying a childcare business or assessing a greenfield site.
Why site-level analysis changes everything: Two {PAIR_ADJACENCY}regions, {EXAMPLE_HIGH_NAME} and {EXAMPLE_LOW_NAME}, differ by more than {ADJACENT_SA4_KPP_MULTIPLE} on the headline children-per-place figure. Yet the picture can change at site level. A property catchment within the "undersupplied" SA4 may already be well served, while a property in the "comfortable" SA4 may have a notable shortage of places in its local catchment. Premium incomes, high workforce participation and daily workforce movements can add further pressure to demand. See the full worked example →
Australia has {LDC_CENTRE_COUNT} Long Day Care centres serving roughly {POP_0_4} children aged 0–4. Nationally, there are {KPP_NATIONAL} children per place. Among Australia's most supply-pressured SA3 regions right now:
- {TOP_KPP_AREA_1} — {TOP_KPP_VALUE_1} children per place, with {TOP_KPP_PLACES_NEEDED_1} places needed to reach the regional supply level
- {TOP_KPP_AREA_2} — {TOP_KPP_VALUE_2} children per place, {TOP_KPP_PLACES_NEEDED_2} places short
- {TOP_KPP_AREA_3} — {TOP_KPP_VALUE_3} children per place, {TOP_KPP_PLACES_NEEDED_3} places short
- {TOP_KPP_AREA_4} — {TOP_KPP_VALUE_4} children per place, {TOP_KPP_PLACES_NEEDED_4} places short
- {TOP_KPP_AREA_5} — {TOP_KPP_VALUE_5} children per place, {TOP_KPP_PLACES_NEEDED_5} places short
01The opportunity right now
Why childcare has continued to attract investors through cycles that have weakened other sectors
Childcare operates differently from most property sectors. Three reasons it has continued to attract investors through cycles that have significantly weakened residential and office:
- Subsidised demand. The Child Care Subsidy covers a significant proportion of fees for eligible families (Department of Education — CCS Quarterly Reports). Government spending on the subsidy is substantial and continues to grow. Both sides of government have consistently supported the policy, most recently through the Productivity Commission's 2024 inquiry, which recommended a path to universal ECEC access.
- Workforce-participation tailwind. Childcare access is a primary lever for women's workforce participation. Public investment in the sector is rising, not falling, to support participation and improve early learning outcomes.
- Pre-lease commitment structure. Developers can secure a strong operator before construction begins. This makes development feasible at lower risk than pure residential, particularly in the current high-cost build environment.
But the sector has a problem that many participants miss: huge differences in local supply that analysis based on broad boundaries cannot see. The national Kids Per Place ratio is {KPP_NATIONAL}. Even across the broad SA4 level, Greater {KPP_SPREAD_METRO} ranges from {KPP_SPREAD_LOW} to {KPP_SPREAD_HIGH}, while adjacent SA4 regions can differ by more than {ADJACENT_SA4_KPP_MULTIPLE}. At more local levels, the differences are wider still.
We are yet to meet a parent who considers statistical boundaries when choosing day care.
Parents in metro Australia are typically willing to travel up to {PARENT_DRIVE_TIME_MAX} to their nearest available childcare. The supply analysis that matters reflects that behaviour: drive-time catchments, not LGA aggregates.
02Using AreaSearch for childcare
Two ways to start: the same tools, but different entry points
AreaSearch's childcare tools support two different situations. Your starting point determines the path you take:
Searching for opportunities
- You do not have a specific site yet
- Goal: find undersupplied areas, then identify viable sites within them
- Use the heatmap to scan for regions under supply pressure
- Use Childcare Benchmarks for state-by-state context and to shortlist school catchments
- Use Target Search to filter areas nationally against your criteria
- Read area profiles for shortlisted regions
- Run a custom catchment around candidate sites to confirm your view
Evaluating a specific site
- You are considering a specific address
- Priority: confirm the demand is real before committing time and capital
- Read the suburb's area profile — free and with no sign-up
- Run a custom catchment around the address for a site-specific supply read
- Cross-reference Childcare Benchmarks for state context
- Check the site fit against NQF floorspace requirements (Section 04)
The tools are described in detail below. For most users, the area profile is the natural starting point. It is publicly accessible, covers any area in Australia, and gives you demographic and supply context straight away.
The heatmap — broad scan
The homepage heatmap lets you switch childcare layers on and off across the country. Within thirty seconds, you can see where supply pressure is concentrated. Use it to focus on sub-regions that need a closer look. It shows where to look, not what to conclude.
Area and suburb profiles — free taster
Open any suburb or SA2 area profile and review the sections that matter most for childcare:
- Population — Age section. Size and share of the 0–4 cohort. The national average is around {POP_0_4_PCT_NATIONAL} of the population; areas above {POP_0_4_PCT_STRONG_DEMAND} signal strong demand. (The Mitchell Institute's Childcare Deserts & Oases report uses this same cohort to map supply gaps nationally.)
- Households. The share of couples with children. The higher it is, the deeper the LDC demand pool.
- Income. Median household income shows the fee tier the catchment can support.
- Employment. Female workforce participation is a key driver of utilisation. High participation means strong demand for full-week LDC.
- Development. New dwellings bring new families. The local residential pipeline shows future demand, while planned childcare DAs indicate an area's risk profile.
Childcare Benchmarks — sector context
The Childcare Benchmarks page gives you the cross-area view that a single area profile cannot: state-by-state KPP comparisons and net place approvals over time, by capital city. Use it to shortlist regions worth investigating and understand where your candidate site sits in the broader market.
Target Search — multi-criteria shortlisting
Target Search works backwards from the location you need. Define the success criteria most important to your business and the platform returns a ranked list of areas that meet them, anywhere in Australia. Available to Pro users.
Draw — the site-specific decision tool
Custom catchments give Pro tier users the most detailed local assessment available on the platform. Draw a catchment around any address — radius (1-{CHILDCARE_CATCHMENT_RADIUS} is the convention in metro areas), polygon, or drive-time isochrone (the parent-behaviour anchor is {PARENT_DRIVE_TIME_MAX}). It gives you demographic and supply analysis for the actual site you are considering, not just the LGA it sits in. The same map includes lot-level planning layers — statutory zoning, development controls such as building height and minimum lot size, and heritage items.
03The signals that matter
The key signs to assess at a childcare site
- LDC supply and Preschool/Kindergarten (PSK) supply, both separately and together. Looking at both adds context in states where standalone PSK services are ACECQA-registered. In WA, TAS and NT, preschool equivalents are delivered almost entirely through the school system and do not appear in ACECQA data. In those jurisdictions, LDC supply on its own and the narrower age-band measures are more reliable.
- Out of School Hours Care (OSHC) supply — relevant to families with school-age children and OSHC operators. It can also be a strong sign of higher demand for other types of care.
- Narrower age-band measures: rather than treating 0–4 as one group, AreaSearch separates supply and demand into estimated age bands: LDC per 0–2, PSK per 3–4, and OSHC per 5–12. Demand from under-2s, where educator-to-child ratios and costs are higher, differs materially from demand from 3–4-year-olds approaching the preschool transition.
Is your catchment undersupplied?
Check each age group and service type to plan the right centre mix
How has supply in your catchment changed?
Net approvals year-on-year — the supply pipeline can change sharply from one year to the next
Places needed to match regional supply
The combined children-per-place figure shows how much pressure supply is under in a catchment. The places-needed calculation turns it into a number you can act on:
places needed = (catchment 0–4 population ÷ regional ratio) − existing places
For example, a catchment has 542 children aged 0–4 and 184 existing LDC+PSK places. The surrounding region averages 2.0 children per place. To match that level, the catchment would need 271 places (542 ÷ 2.0), leaving it 87 places short. That tells you whether the gap is meaningful — a 90-place centre closes most of it — or marginal, and too small to support a viable new centre.
How big is the gap?
Turn children per place into a number you can act on and build the centre the area needs
The school-catchment lens
One of AreaSearch's most useful ways to identify childcare opportunities is to look at primary schools and the LDC supply around them. The logic is simple: parents organise their commute around the older child's school drop-off. Childcare near that route gets used. Options off the route, even if they are nominally closer to home, often do not.
The most commercially interesting childcare gaps are often found by looking beyond broad demographic maps and at what is missing around schools serving young families. The Childcare Benchmarks page lets you explore this: where schools sit in relation to existing LDC supply, and where the gaps are most pronounced.
Catchment reports on demand. Pro Childcare users can receive a full catchment report in minutes, for the same credit cost as loading a catchment on the platform.
Catchment density — market size matters
A supply figure on its own can mislead. A small catchment can show a high KPP figure and look like a strong opportunity, but its 0–4 population may be too small to support a commercially viable new centre after development. On the other hand, a densely populated catchment with a moderately high children-per-place figure can offer a much larger commercial prize.
Look at population density alongside children per place. A catchment with 1,250 children aged 0–4 and 3.2 children per place is usually a stronger commercial proposition than one with 280 children aged 0–4 and 5.7 children per place, even though the second looks more supply-constrained on paper.
That said, smaller regional centres can be genuinely attractive. A town that can support exactly one more centre, where incumbent operators are at capacity, is often an excellent low-competition opportunity.
A higher ratio doesn't always mean a bigger opportunity
Catchment B looks more pressured — but A has 4× the children and the absolute gap supports a 90-place centre
Income, SEIFA and female workforce participation
A supply gap means little if the catchment cannot support the fees and occupancy rates required. Three income-related signs matter:
- Median household income. The main guide to fee tier. Higher-income catchments support premium daily rates ({FEE_PREMIUM_TIER_RANGE} at the top end) and are less sensitive to fee increases. Lower-income catchments rely more heavily on the Child Care Subsidy and are more sensitive to price.
- SEIFA. It combines income, education, occupation and disadvantage. High-SEIFA catchments tend to support both premium fees and high female workforce participation. Low-SEIFA catchments may show high KPP figures partly because services are less commercially viable, not only because they are undersupplied.
- Female labour force participation rate. The clearest driver of usage. High female participation means strong demand for full-week, full-day LDC. This is what turns a supply gap into booked places: an undersupplied catchment with low female participation may not fill a new centre as quickly as children-per-place figures suggest. Stronger labour markets can also mean more competition for staff, along with commute and cost-of-living pressures for those staff.
National daily LDC fee landscape (live from latest data; see also the Productivity Commission's Report on Government Services for published fee benchmarks): national average {NATIONAL_AVG_DAILY_FEE}; highest SA4 is {FEE_HIGHEST_SA4_NAME} at {FEE_HIGHEST_SA4_VALUE}; mid-tier range {FEE_MID_TIER_RANGE}; premium tier {FEE_PREMIUM_TIER_RANGE}.
Can the catchment support premium fees?
All three need to line up — high income with low female participation means lower demand for full-week LDC
How tight is the labour market?
Lower unemployment means higher demand, but it also makes it harder for childcare operators to find staff
What does childcare cost here?
A catchment's place in the fee landscape shows what parents will pay and who your competitors are
Working population inflows and commercial land use
In some catchments, residential demographics tell only half the story. Areas near CBDs, major business parks, hospitals or industrial precincts can have large daytime inflows of workers. That can create childcare demand that does not appear in the residential 0–4 count. Parents who live elsewhere may prefer a centre near work rather than home, particularly for the drop-off leg of the commute.
When assessing a commercially zoned or mixed-use site, consider the daytime working population alongside the residential catchment. A site that looks marginal on residential demographics alone may have strong additional daytime demand that a residential-only view misses entirely. For the user's convenience, adjusted KPP ratios are generated and displayed on the platform.
The demand you can't see from home
Near employment hubs, worker inflows can change the picture entirely
Births as an early sign
Birth trends show where demand from children aged 0–4 is heading. AreaSearch uses yearly population-forecast data to project the 0–4 population forward for each catchment. A catchment with rising births and already-constrained supply will be critically undersupplied by the time a new centre opens.
Where is demand heading?
Rising local births point to growing demand pressure — a trend moving away from the national average is a strong sign of what lies ahead
Looking ahead at children aged 0–4
A lease decision today commits you to a market a decade out. Today's snapshot is not enough. AreaSearch projects the 0–4 population forward for each catchment, showing how many additional places will be needed as demand grows. Use Target Search to find catchments where projected 0–4 growth is among the highest 10% nationally. In these areas, you build into a tightening market, not against a flattening one.
Are you building into a growing market?
Catchments in the highest 10% for growth are where you build into a tightening market
Development approvals for every 100 people
A declining trend points to tighter future housing supply, which may reduce childcare demand
Incoming supply
Every supply measure above relies on ACECQA data, which captures only centres granted a service approval. A centre's ACECQA licence is generally not issued until after development, so a centre with an approved DA and construction underway can be 12+ months away from appearing in any children-per-place figure. A catchment that looks undersupplied today may be well-served, or even oversupplied, within 18–30 months if several approved centres are in the pipeline.
Development applications fill that gap. DAs are lodged through local councils and can be searched through council DA trackers and, in some states, state planning portals, which AreaSearch tracks. Look for:
- Approved but not yet built — centres with DA approval that are under construction or awaiting ACECQA service approval. This is committed supply that has not yet appeared in supply figures.
- Applications under assessment — DAs that have been lodged. Not all will be approved, but clusters of applications in one area show that other investors have identified the same opportunity.
- Site plans and place counts — DA documentation provided at the exhibition stage usually includes architectural plans, intended place counts (councils generally require this for parking, traffic and acoustic assessment), and key contact details. These help estimate the size of incoming supply in the catchment.
AreaSearch shows development application data on the platform, so you can include incoming supply in a catchment assessment alongside the existing supply measures above, without separately trawling council trackers. Reviewing the DA pipeline in your catchment is an essential due diligence step that can fundamentally change the investment case.
04The site fit
NQF floorspace, the 60-place ECT threshold, Class 9b, and real-world timelines
Strong demand and good fee tolerance in a catchment are only half the assessment. You also need to confirm that the site can physically accommodate the centre required by the business case.
The Education and Care Services National Regulations set the Australian minimum. Two numbers matter most:
- Reg 107 — Indoor unencumbered space: {INDOOR_SPACE_PER_CHILD}
- Reg 108 — Outdoor unencumbered space: {OUTDOOR_SPACE_PER_CHILD}
The map shows statutory zoning, development controls and lot boundaries. Click any lot to see its zoning code and controls.
"Unencumbered" space excludes corridors, bathrooms, nappy-change areas, kitchens, cot rooms, staff rooms, storage and built-in furniture. Gross internal floor area is typically {GROSS_AREA_OVERHEAD} larger than unencumbered space × places (ACECQA — Quality Area 3).
Quick screening guide for typical suburban centres:
| Places | Indoor unencumbered | Outdoor unencumbered | Typical site area |
|---|---|---|---|
| 75 | {INDOOR_75_PLACES} | {OUTDOOR_75_PLACES} | {SITE_AREA_75_PLACES} |
| 90 | {INDOOR_90_PLACES} | {OUTDOOR_90_PLACES} | {SITE_AREA_90_PLACES} |
| 120 | {INDOOR_120_PLACES} | {OUTDOOR_120_PLACES} | {SITE_AREA_120_PLACES} |
A 1,200 m² block cannot support 90 approved places under these requirements. Inner-city and vertical centres may receive outdoor-space waivers under Reg 4.4, but these are discretionary and conditional.
Site feasibility — from gross site area to approved places
The screening table above sets out the indoor and outdoor space a centre needs. The site must also fit everything around those areas. This is where many feasibility assessments underestimate the land required:
- Car parking and drop-off: council parking rates vary by state and location. NSW's general rate is 1 space per 4 children, with reductions near train stations. Victoria's previous flat rate of 0.22 spaces per child was replaced in December 2025 by a per-employee, category-based system tied to public transport access. A 90-place centre typically requires {PARKING_90_PLACES}.
- Setbacks and driveways: the local planning scheme sets front, side and rear setbacks, which can take up a material share of a suburban block. Driveway-width requirements for drop-off circulation add further constraints.
- Landscaping and buffers: many councils require minimum deep-soil and landscaping percentages, particularly on residential-zoned sites. Acoustic buffers to neighbouring properties are also common conditions of consent.
As a result, a site's gross area can be 40–60% larger than the indoor and outdoor play area it provides. A block that looks generous on a title search may leave too little usable space after parking, setbacks and landscaping. For greenfield feasibility, work back from the gross site area to the achievable place count, rather than starting with a target number of places.
Educator-to-child ratios — the main wage-cost driver
Regulation 123 of the Education and Care Services National Regulations sets the national minimum ratios:
| Age band | National ratio | State variation |
|---|---|---|
| 0–24 months | {RATIO_UNDER_2} | Uniform |
| 24–36 months | {RATIO_2_3_NATIONAL} | VIC: {RATIO_2_3_VIC} |
| 36 months – school age | {RATIO_3_5_NATIONAL} | NSW, ACT, NT, SA, TAS often operate {RATIO_3_5_OTHER_STATES} |
Victoria's {RATIO_2_3_VIC} ratio for two-to-three-year-olds adds roughly {VIC_WAGE_PREMIUM} to wage costs compared with an equivalent NSW or QLD centre on the same plan. This matters for EBITDA modelling.
The 60-place threshold
For greenfield operator economics, this is the single most important number. Under Reg 130–134, centres with fewer than {ECT_THRESHOLD_PLACES} approved places need one Early Childhood Teacher in attendance for ≥6 hours/day. Centres of {ECT_THRESHOLD_PLACES}+ places require a second ECT for ≥3 hours — at an annual cost in the order of {ECT_ANNUAL_COST_RANGE} in metro markets.
This threshold weakens many investor business cases modelled at 75 places. By contrast, a 58-place centre runs with a single ECT FTE, making sub-{ECT_THRESHOLD_PLACES} boutique formats viable on smaller sites.
Building code, planning, and real-world timelines
Childcare centres are NCC Class 9b (NCC 2022 — Class 9b). Adaptive reuse almost always triggers a full change to Class 9b and upgrades to the current NCC and Disability (Access to Premises) Standards. Fire compartmentation, sanitary rebuilds and accessibility works can cost as much as the cosmetic fitout. Estimate these costs carefully: adaptive reuse is not always cheaper than greenfield construction.
DA timelines in metro councils run {DA_TIMELINE_METRO}. From DA to opening, greenfield projects realistically take {TOTAL_GREENFIELD_TIMELINE}, with {GREENFIELD_TIMELINE_MIDPOINT} often quoted as the industry midpoint. Two approval streams need to come together: planning and construction; and ACECQA Provider Approval, Service Approval and federal CCS approval. Booking the Service Approval inspection is a recurring bottleneck, particularly in NSW.
NQS quality rating — an under-discussed commercial lever
The National Quality Standard rating affects fee headroom and waitlist depth more than most investors allow for. Exceeding centres in higher-income catchments can often hold a fee premium over Meeting peers. Operators in some markets report a gap of {EXCEEDING_FEE_PREMIUM} or more. Working Towards is a red flag for any acquisition. ACECQA publishes the latest sector-wide quality figures in its quarterly NQF Snapshots, and you can search every centre's current rating on Starting Blocks. The seven Quality Areas assessed:
- Educational program and practice
- Children's health and safety
- Physical environment
- Staffing arrangements
- Relationships with children
- Collaborative partnerships with families and communities
- Governance and leadership
How the calculator works
The sliders work together. Use the Operator / Investor toggle to choose your position and Lease / Buy / Build to choose your entry route; the inputs and outputs then adjust to suit. The three tabs follow the same order: Site sets the building and outdoor area that limit capacity; Operation covers revenue, staffing and running costs to build EBITDA; and Property covers rent, acquisition or development cost, and exit assumptions to complete the return. The outputs panel remains visible and updates live as you move between tabs. Hover over any dotted label for an explanation of that input. Expand the Cash Flow Projection panel at the bottom for scenario summaries and a full Excel model to download. The Excel model uses your current slider settings as starting assumptions — edit the blue cells in Excel and all sheets recalculate.
Childcare Returns Calculator
Indoor capacity: — net play → — places
Outdoor capacity: — places
Binding constraint: —
Sensitivity — EBITDA at different occupancy levels
Cash Flow Projection
This calculator is a financial modelling tool provided by AreaSearch for indicative analysis only — not investment, tax, or legal advice. The default assumptions are generic starting points and may not reflect the specific conditions of any site, market, or transaction. It excludes CCS modelling, tax, working capital during ramp-up and centre-specific factors. The wage model uses age-mix ratios — actual staffing depends on room structure and rostering. Users should verify all inputs independently and seek professional advice before making financial decisions based on these projections. AreaSearch accepts no liability for losses arising from reliance on this model's outputs. Past performance and modelled projections are not indicative of future results.
05Worked example
{EXAMPLE_HIGH_NAME} vs {EXAMPLE_LOW_NAME} — two {PAIR_ADJACENCY}SA4 regions in Greater {PAIR_METRO}, but with very different investment profiles.
{EXAMPLE_HIGH_NAME} and {EXAMPLE_LOW_NAME} are {PAIR_ADJACENCY}SA4 regions in Greater {PAIR_METRO}. They share the same metropolitan economy, state regulator and CCS subsidy regime. On paper, they should look similar. They do not.
| {EXAMPLE_HIGH_NAME} | {EXAMPLE_LOW_NAME} | |
|---|---|---|
| Children per LDC place (KPP) | {EXAMPLE_HIGH_KPP} | {EXAMPLE_LOW_KPP} |
| Median household income | {EXAMPLE_HIGH_INCOME} | {EXAMPLE_LOW_INCOME} |
| Female workforce participation | {EXAMPLE_HIGH_FEM_LFP} | {EXAMPLE_LOW_FEM_LFP} |
| SEIFA decile | {EXAMPLE_HIGH_SEIFA} | {EXAMPLE_LOW_SEIFA} |
| School places per LDC place | {EXAMPLE_HIGH_SCHOOL_PER_LDC} | {EXAMPLE_LOW_SCHOOL_PER_LDC} |
| Average daily fee | {EXAMPLE_HIGH_MEAN_FEE} | {EXAMPLE_LOW_MEAN_FEE} |
| 0–4 cohort growth since Census | {EXAMPLE_HIGH_POP_GROWTH} | {EXAMPLE_LOW_POP_GROWTH} |
More than {ADJACENT_SA4_KPP_MULTIPLE} difference in relative demand between two {PAIR_ADJACENCY}SA4 regions. But that figure does not tell the full story. The region with the higher KPP has lower income, lower SEIFA and lower female workforce participation. Fewer families use full-week LDC, which partly explains the supply gap. The gap is real, but the commercial opportunity is more nuanced than the headline KPP suggests. A single figure can mislead in either direction. Looking at income, workforce participation, school proximity and the fee landscape alongside the supply position, across a custom geography, gives you the picture needed to commit capital with confidence.
Site-level analysis within each SA4
The SA4 comparison above is useful context, but it is an average across a large region. Childcare supply is concentrated at specific addresses, not spread evenly across a statistical boundary. A parent's real choice is the centres within a short drive of home, regardless of which SA4 they sit in. A site catchment routinely crosses multiple SA2, SA3 and even SA4 boundaries. Site A below intersects two SA4s, capturing supply and demand that no single regional average accounts for. This means a pocket within an "undersupplied" region can be locally saturated, while a pocket in a "well-supplied" region can have a genuine gap. Below are two illustrative site catchments that show exactly this.
Site A — {EXAMPLE_HIGH_NAME} SA4
Illustrative site · SA4 KPP: {KPP_SPREAD_HIGH}
{SITE_A_GEO}
| 1.5 km | 5 min drive | |
| Population | {SITE_A_POP_NEAR} | {SITE_A_POP_DRIVE} |
| Children aged 0–4 | {SITE_A_CHILDREN_NEAR} | {SITE_A_CHILDREN_DRIVE} |
| LDC places | {SITE_A_PLACES_NEAR} | {SITE_A_PLACES_DRIVE} |
| KPP | {SITE_A_KPP_NEAR} | {SITE_A_KPP_DRIVE} |
| Forecast pop growth | {SITE_A_GROWTH_NEAR} | {SITE_A_GROWTH_DRIVE} |
| Required places (today) | {SITE_A_REQ_TODAY_NEAR} | {SITE_A_REQ_TODAY_DRIVE} |
| Required places ({FORECAST_YEAR}) | {SITE_A_REQ_FCST_NEAR} | {SITE_A_REQ_FCST_DRIVE} |
| Median household income | {SITE_A_INCOME_NEAR} | {SITE_A_INCOME_DRIVE} |
| SEIFA decile | {SITE_A_SEIFA_NEAR} | {SITE_A_SEIFA_DRIVE} |
| Female labour force | {SITE_A_FEM_LF_NEAR} | {SITE_A_FEM_LF_DRIVE} |
{SITE_A_VERDICT}
Site B — {EXAMPLE_LOW_NAME} SA4
Illustrative site · SA4 KPP: {KPP_SPREAD_LOW}
{SITE_B_GEO}
| 1.5 km | 5 min drive | |
| Population | {SITE_B_POP_NEAR} | {SITE_B_POP_DRIVE} |
| Children aged 0–4 | {SITE_B_CHILDREN_NEAR} | {SITE_B_CHILDREN_DRIVE} |
| LDC places | {SITE_B_PLACES_NEAR} | {SITE_B_PLACES_DRIVE} |
| KPP | {SITE_B_KPP_NEAR} | {SITE_B_KPP_DRIVE} |
| Forecast pop growth | {SITE_B_GROWTH_NEAR} | {SITE_B_GROWTH_DRIVE} |
| Required places (today) | {SITE_B_REQ_TODAY_NEAR} | {SITE_B_REQ_TODAY_DRIVE} |
| Required places ({FORECAST_YEAR}) | {SITE_B_REQ_FCST_NEAR} | {SITE_B_REQ_FCST_DRIVE} |
| Median household income | {SITE_B_INCOME_NEAR} | {SITE_B_INCOME_DRIVE} |
| SEIFA decile | {SITE_B_SEIFA_NEAR} | {SITE_B_SEIFA_DRIVE} |
| Female labour force | {SITE_B_FEM_LF_NEAR} | {SITE_B_FEM_LF_DRIVE} |
{SITE_B_VERDICT}
The takeaway: The SA4-level picture showed {EXAMPLE_HIGH_NAME} as undersupplied and {EXAMPLE_LOW_NAME} as comfortable. The site-level catchments tell the opposite story: a saturated pocket inside the "undersupplied" region and a genuine gap inside the "well-supplied" one. This is not an anomaly. It happens when supply clusters in specific locations and regional averages hide the local differences. The regional comparison identifies where to look; the site-level catchment determines whether the opportunity is actually there.
Sources: ABS · ACECQA · ACARA · {CENSUS_YEAR} Census · Department of Education · ACCC Childcare Inquiry (Dec 2023) · NCC 2025 · Productivity Commission · Seek · AreaSearch. Updated {LATEST_REFRESH_DATE}. This article is a preliminary scoping resource. Make your own enquiries and seek independent professional advice before acting on any information here.