All-bedrooms segment
The view of a suburb covering every bedroom count for a property type, computed from the full set of records rather than by averaging the per-bedroom segments.
Micromarkets · Glossary
Every metric used in Micromarkets suburb reports — market and demographic alike — defined the way we actually compute it. For the formulas and thresholds behind these terms, see the methodology.
89 terms · maintained by the Micromarkets Data Team
Browse by category
Prices, rents, yields, volumes and the segment model.
The view of a suburb covering every bedroom count for a property type, computed from the full set of records rather than by averaging the per-bedroom segments.
The bedroom count a segment is measured for: 1, 2, 3, 4, or all bedrooms. Metrics are never blended across cohorts.
The reference lines a segment is compared against: the median price, rent, yield, DOM and ownership premium across all qualifying segments of the same property type and bedroom cohort, computed per state and nationally. When a report says “above the NSW house median”, this is that median.
Annualised median rent divided by median sale price: (weekly rent × 52) ÷ price × 100. Gross — before costs, vacancy and tax.
The percentage change of the current 12-month rolling window versus the 12 months immediately before it — applied to price, rent, volume and days on market.
The count of recorded leases in a segment over the trailing 12 months — the rental-side equivalent of sales volume.
The middle sale price over the trailing 12 months for the segment — half of sales were above it, half below. Medians resist distortion from a few extreme sales far better than averages.
The middle advertised weekly rent over the trailing 12 months for the segment.
A single suburb-level segment — one suburb, one property type, one bedroom cohort — treated as its own market with its own metrics, rather than averaged into city or region figures. The unit of analysis everything on Micromarkets is built around.
The count of recorded sales in a segment over the trailing 12 months. Doubles as the sample size behind that segment’s medians — which is why thin volumes suppress derived metrics.
The unit every metric is computed for: one suburb × one property type (house or unit) × one bedroom cohort (1, 2, 3, 4 or all).
How fast stock moves and how much of it there is.
How quickly a market clears its stock: 12-month sales divided by listings currently available. Higher means demand is absorbing supply faster.
The middle supply band, where months of supply sits near the national norm — roughly 2.6–3.6 months for sales, 1.5–1.8 for rentals. Neither buyers/renters nor sellers/landlords hold a clear stock advantage.
A five-way classification of where a segment sits in its demand cycle: in demand, growing (or tightening on the rental side), in demand, easing, softer, firming, and softer, weakening. Sales and rental sides are phased independently. See how phases are assigned.
The median number of days between a property being listed and selling (or leasing, for rental DOM). Lower means a faster market.
Properties advertised for sale (or rent) in the segment as at the most recent complete month. The stock side of months of supply and absorption.
The composite percentile shown in the ranking section — where a segment’s overall demand intensity sits among comparable segments in its state (or nationally), built from the velocity index. The single “how hot is this market” number.
A composite index of how quickly a segment’s stock sells (or leases) and how that pace is trending. Published as state and national percentile ranks rather than raw values, so houses are never ranked against units.
How long current stock would take to clear at the trailing 12-month pace of sales (or leases): listings ÷ (12-month transactions ÷ 12). Mapped to seven bands from severe shortage to saturated. See the thresholds.
A percentile of how much faster the segment is selling than a year ago — ranked by the year-on-year change in DOM, where shedding days earns a higher percentile. The leasing-speed percentile is the rental-side twin.
The plain-English label for months of supply — severe shortage, very tight, tight, balanced, loose, very loose, saturated — with thresholds calibrated on the national distribution. Assigned only when a segment has 20+ transactions in the window.
Buy-versus-rent and affordability measures.
Census median monthly mortgage repayment converted to weekly (× 12 ÷ 52), divided by median weekly household income for the suburb — the owner-side counterpart to the rent-to-income ratio.
The weekly cost gap between buying and renting the median property, as a percentage of rent. The mortgage side assumes a standardised loan (80% LVR, 6.0% p.a., 30-year principal-and-interest). +40% means owning costs 40% more per week than renting; negative means buying is cheaper. See the formula.
Census median weekly rent divided by median weekly household income for the suburb. A common affordability stress marker is a ratio above 0.30.
The weekly repayment on the segment’s median price under the standardised loan — 80% LVR, 6.0% p.a., 30-year principal-and-interest amortisation. The buy side of the ownership premium; deliberately a constant-rate construct so suburbs stay comparable, not a quote.
Percentiles, similar markets and nearby markets.
A segment in another suburb — same state, property type and bedroom cohort — whose behaviour most closely matches the one you’re viewing, scored on price, yield, speed, ownership economics and cycle phase. See the similarity model.
The shortest distance between two points over the Earth’s surface, computed from suburb centroid coordinates. All distances on Micromarkets are great-circle — straight-line, not driving distance.
Suburbs within 25 km (great-circle distance between suburb centroids, same state), compared like-for-like on the same property type and bedroom cohort, with 5/10/15/20 km radius filters.
Where a value sits in its comparison group, 0–100: a 92nd-percentile result beats 92% of the cohort. Market percentiles compare segments of the same property type and bedroom cohort (state and national); census percentiles compare all populated Australian suburbs nationally and within their state.
Five-step classifications of how a comparable differs from the anchor segment. Price bands step at ±5% and ±20% (much cheaper → much dearer); DOM bands step at ±3 and ±14 days (much faster → much slower).
The 0–1 weighted score behind comparable markets — combining price (or rent), yield, market speed, ownership economics and cycle-phase match, minus a small distance penalty (max 0.05 at 100 km). Computed separately for the sales and rental markets. Weights are documented in the methodology.
The geographic centre point of a suburb’s official boundary, used for distance calculations and map markers.
Census population structure.
The population chart showing each five-year age band split by sex, as shares of the suburb’s population. Built from the ABS single-year-of-age table (G04).
Census residents aged 65+ per 100 children aged under 15. Above 100 means seniors outnumber children in the suburb.
People outside working age per 100 working-age residents (15–64). Youth = children 0–14 per 100; aged = seniors 65+ per 100; total = both combined. Higher ratios mean more dependants per worker.
The middle age of a suburb’s residents — half are older, half younger.
Residents living in non-private dwellings — aged-care facilities, student accommodation, hotels, hospitals. A high share can skew other demographic ratios, which is why it’s surfaced.
Males per 100 females among the suburb’s usual residents.
The ABS population basis: someone who normally lives at an address, counted there even if temporarily away on Census night. All population and demographic figures on Micromarkets count usual residents — not visitors present on the night.
Residents aged 15–64 as a share of the suburb’s population — the denominator of the dependency ratios.
Who shares a dwelling, and how.
Average number of people usually living in each occupied private dwelling.
The ABS breakdown of family types: couples with children under 15, couples with older children only, couples without children, one-parent families (split the same way), and other families (e.g. adult siblings cohabiting). Shares are of all families in the suburb.
A dwelling containing at least one family — a couple, a one-parent family, or other related persons living together (ABS definition).
Two or more unrelated adults sharing a dwelling with no family relationship — share houses. Computed as non-family households minus lone-person households.
A dwelling occupied by one person living alone, as a share of all occupied private dwellings.
Average people per bedroom across occupied private dwellings — a crowding measure. Values above 2 may indicate overcrowding.
Tenure, structure and dwelling stock.
The ABS physical classification of dwellings: separate (detached) house; semi-detached / row / terrace / townhouse; flat or apartment (any height); and other (caravans, cabins, improvised homes). Shares are of occupied private dwellings with stated structure.
Mortgaged households repaying $3,000 or more per month, as a share of mortgaged dwellings with stated repayments.
Occupied dwellings that are apartments in blocks of four storeys or more, as a share of occupied private dwellings.
Small dwellings have 0–2 bedrooms (including studios); large dwellings have 4+. Shares are of occupied dwellings with a stated bedroom count — a quick read on whether a suburb’s stock skews compact or family-sized.
Households renting from a state/territory housing authority (public housing) or a community housing provider, as a share of dwellings with stated tenure.
How households hold their home: owned outright, owned with a mortgage, renting, or other. Owner-occupier share = outright + mortgaged. All tenure shares exclude dwellings whose tenure was not stated.
Private dwellings recorded as unoccupied on Census night — holiday homes, between-tenant rentals, homes being renovated — as a share of all private dwellings (occupied + unoccupied).
Earnings, labour force and schooling.
High earners = residents with personal income ≥ $2,000/week; low earners = under $500/week; low-income households = total household income under $650/week. All shares exclude not-stated incomes.
Residents currently attending any educational institution — school, TAFE or university, full or part time — as a share of the population.
The ABS classification for residents 15+: employed full-time (35+ hours across all jobs), employed part-time, unemployed (actively looking and available to start), or not in the labour force (retirees, full-time students, carers). Measured for the week before Census night.
Three ABS weekly medians, all before tax and from all sources: household (all residents 15+ in a dwelling, combined), personal (individuals 15+), and family (family members 15+, combined). Household income is the one used in the affordability ratios.
The eight ABS (ANZSCO) occupation major groups, shown as shares of employed residents: managers, professionals, technicians & trades, community & personal service, clerical & administrative, sales, machinery operators & drivers, and labourers. The report groups trades, operators and labourers into one “trades & labour” line.
Residents 15+ who are in the labour force — working or looking for work — as a share of those whose status was stated.
The share of the labour force — people working or actively looking — who are unemployed. Not a share of all residents. A point-in-time Census measure; the ABS monthly Labour Force Survey is the official ongoing series.
Residents 15+ whose highest year of school is Year 12 or equivalent, as a share of those who stated a school level. School completion only — university and trade qualifications are not part of this measure.
Birthplace, language, ancestry, religion.
Residents who self-identify as Aboriginal and/or Torres Strait Islander, as a share of those whose status was recorded.
Census respondents can report up to two ancestries (e.g. “English” and “Irish”), so ancestry shares are shares of total responses, not of people — the raw counts can sum past the suburb’s population.
Residents who are Australian citizens — Australian-born and naturalised — as a share of the population.
Residents born outside Australia, as a share of those who stated a birthplace.
The chance that two randomly chosen residents differ on the attribute — born in different countries, speak different home languages, or follow different religions. 0 = everyone the same; near 1 = highly mixed. A Gini–Simpson-style index computed from the ABS distribution shares, published as a value and a percentile.
Residents who mainly speak a language other than English at home, of those who stated a language. Measures the language used, not English ability — see English proficiency for that.
Residents who report speaking English “not well” or “not at all” — a language-barrier measure, not a bilingualism measure (most multilingual residents speak English well).
For overseas-born residents only: when they arrived in Australia, grouped into eras (before 1981, 1981–2000, 2001–2010, 2011–2015, 2016–2021), with arrival-year-not-stated excluded. The established migrant share is the portion who arrived before 2011 — higher means a long-settled migrant community.
Whether a resident’s parents were born overseas: both overseas, one overseas, or both born in Australia — shares of stated responses. “Both parents overseas” approximates the second generation of migration.
Self-reported religion shares, of those who stated: Christian denominations individually, other major religions, and no religion / secular beliefs. The question is voluntary on the Census form, and not-stated responses are excluded from the denominators.
Turnover, commuting and vehicles.
How employed residents got to work on Census day. Public transport = train, bus, ferry or tram; active transport = walked or cycled — both as shares of those who actually travelled (worked-from-home and didn’t-go-to-work are excluded from the denominator). Worked-from-home is reported separately — and was elevated by COVID lockdowns in August 2021.
The average number of registered motor vehicles kept at each occupied dwelling, plus the share of households with no vehicle. Excludes motorbikes and heavy vehicles; not-stated households are excluded from the denominator.
Where residents lived one and five years before the Census, of those who stated. Settled 5+ years = same address as five years ago; moved in past year = different address a year ago; arrived from overseas (5 yr) = living overseas five years ago. Together they drive the report’s turnover section.
ABS, Census, SAL, SEIFA.
Australia’s national statistical agency — the source of the 2021 Census DataPacks and SEIFA indexes used for all demographic data on Micromarkets. Licensed CC BY 4.0; see attribution.
The ABS framework that defines official geographic boundaries in Australia. Micromarkets uses Suburbs and Localities (SAL) boundaries from ASGS Edition 3 (2021).
The ABS Census of Population and Housing (held August 2021), published as DataPacks of numbered “G-tables” — G01 (population summary), G02 (medians), G17 (income), G37 (tenure), G62 (commute) and so on. Micromarkets derives suburb demographics from 24 of these tables; the full list is in the methodology.
The official ABS geographic unit for suburbs and localities, used for all census statistics on Micromarkets. Defined in ASGS Edition 3 (2021).
The ABS Socio-Economic Indexes for Areas (2021). IRSAD ranks relative socio-economic advantage and disadvantage; IER ranks economic resources; IEO ranks education and occupation. Micromarkets republishes the official scores with national and state deciles and percentiles.
Windows, thresholds, flags and suppression.
Chart axes clip at the 99th percentile of the national distribution so a handful of extreme suburbs can’t flatten the scale for everyone else. Values beyond the bound are marked “off-scale” rather than hidden.
A per-metric marker on the 5-year tape indicating whether the monthly history is complete or has gaps. Gaps are flagged, never silently interpolated.
Marks suburbs with fewer than 50 usual residents at the 2021 Census — too small for stable percentage-based statistics, since ABS privacy adjustments alone can swing a share by several points. Flagged suburbs are excluded from the percentile universe.
The trailing 12 complete months over which headline metrics are computed. Rolling windows smooth out single-month noise at the cost of a little recency; growth metrics compare consecutive windows.
A per-segment grade derived from transaction counts. Derived metrics need at least 15 transactions on each side they touch (20 for supply bands and growth percentiles); below that, figures display as “too thin” rather than risking a misleading number.
Census shares on Micromarkets exclude “not stated” responses from the denominator — e.g. renter share = rented dwellings ÷ dwellings with stated tenure — so a suburb with a high non-response rate can’t have its shares silently diluted.
The ABS’s privacy protection: small census cells are randomly adjusted or withheld entirely. Micromarkets treats suppressed values as missing, never as zero.
The 60-month monthly history charts on each suburb report — price, volume, days on market, yield, rent and supply — with completeness flags where thin markets have gaps in the record.
The written summary at the top of each suburb report, generated deterministically from the page’s own metrics at every monthly refresh. Never manually edited; makes no forecasts.
A segment with too few transactions in the window to support reliable statistics — below 15 for derived metrics, below 20 for supply bands. Displayed as “too thin” instead of a number.