The Scale Illusion: Population Size and the APN Bedrock Score Across Australia’s 50 Most Populous LGAs
Brisbane holds 1,375,301 people. Knox holds 163,820 — an 8.4-times difference, the largest population gap between any two LGAs in this sample. Their APN Bedrock composite scores are 55.86 and 54.38 — within 1.5 points of each other. Across the 50 most populous LGAs, population size explains essentially none of the variation in Bedrock composite: r = 0.030, r² = 0.001. This analysis sets that non-relationship out in full, and rules out population and density as explanations before other factors are considered.
The Non-Relationship
Regressing Bedrock composite on population (Estimated Resident Population, 2025) across the 50 most populous LGAs produces a trend line that is, for practical purposes, flat: across the full range of the sample — from Knox’s 163,820 to Brisbane’s 1,375,301 — the fitted line moves by roughly 2 points. Population accounts for less than 0.1 per cent of the variance in Bedrock composite. The scatter below shows the shape of that non-relationship directly: LGAs of every size sit at every point on the vertical axis.
Same Size, Opposite Outcomes
The clearer test of the non-relationship is not the ends of the range but the middle. Sutherland (241,327 people) and Fairfield (213,677 people) sit within 13 per cent of each other in population — about as close to “the same size” as any pair in this sample gets. Sutherland posts a Bedrock composite of 67.55, the third-highest of the 50 LGAs. Fairfield posts the lowest: 19.88. A 47.7-point gap between two LGAs that are effectively the same size. Whatever separates them, it is not population.
Density Doesn’t Rescue the Story
Population density is a marginally cleaner signal than raw population count, but not by enough to matter. Density correlates with Bedrock composite at r = −0.059 — weak, and if anything in the opposite direction to what a simple “density supports value” thesis would predict. Sydney, the densest LGA in the sample at 9,064 persons per km², posts a middling Bedrock composite of 45.96. Toowoomba, the sparsest at 14.4 persons per km² — roughly 600 times less dense — scores only slightly lower, at 42.90. Neither density nor population count offers a usable explanation for Bedrock composite on its own.
Population Rank vs Bedrock Rank
Ranking all 50 LGAs by population and separately by Bedrock composite makes the scrambling visible at a glance. Brisbane is 1st by population and 6th by Bedrock — a 5-place drop. Knox is 50th by population and 8th by Bedrock — a 42-place rise. The Hills climbs 26 places, from 27th by population to 1st by Bedrock; Fairfield falls 22 places, from 28th to 50th. None of the five highest Bedrock scores in the sample belong to a top-10 LGA by population.
What Actually Predicts Bedrock
Ruling population and density out matters because it clears the way for the variable that does carry explanatory weight. Across this same sample, IRSAD decile — socio-economic advantage — correlates with Bedrock composite at r = 0.727, though the relationship is partly mechanical rather than fully independent: IRSAD is itself one of the five constituent pillars feeding the Bedrock composite. Scale was never a serious candidate; this analysis closes that door formally so it does not need reopening.
Correction note — October 2026. The Bedrock figures in this piece are restated on APN Bedrock™ methodology v1.1, which joins every Census figure to its locality by the ABS suburb code, reads unemployment for all persons and reads the SEIFA advantage and disadvantage index (IRSAD); each LGA reading is the population-weighted mean of its localities of more than 200 residents. On that basis the 50-LGA IRSAD decile correlation is r = 0.727. Across the full national sample of 532 LGAs the decile-based relationship is r = 0.77, and on the continuous IRSAD score it is r = 0.80.
Methodology Note
Population figures are Estimated Resident Population (ERP) as at 30 June 2025. Population density is persons per square kilometre, calculated from ABS land area figures. APN Bedrock composite is the population-weighted mean of each LGA’s localities of more than 200 residents, on APN Bedrock™ methodology v1.1 (October 2026). Correlation coefficients and regression lines (population: Bedrock ≈ 45.458 + 0.00000159 × population; density: Bedrock ≈ 46.418 − 0.000330 × density) are calculated across the 50 most populous LGAs in Australia, compiled through the APN LGA Intelligence Routine — a queue ordered by population, not a random or representative sample. Findings here describe the sample analysed only and should not be read as representative of the full national distribution of Australia’s 547 Local Government Areas.
