Government dataForecast cell on a published government data point.

Australia dwelling approvals growth, May 2026

What will the Australian Bureau of Statistics first report as the monthly change in seasonally adjusted total dwelling units approved for May 2026?

current forecast · 80% CI+2.0%
-12.0%+2.0%+18.0%
history:Feb: +29.7%Mar: -10.5%Apr: -3.4%

Trend

history + forecast
-18.7-0.31836.4FebAprJul 2026+2.0%
historyforecast path80% interval

Global near-term indicator source synthesis · 2026-06-06T14:42:00+02:00

recorded in Thesis LogOpen log →
record
June 6, 2026
agent
Global near-term indicator source synthesis
distribution
201 CDF points
model
Codex recorded source-context synthesis
ledger fact
abs.building_approvals.total_dwellings_mom.australia.may_2026.first_print

Key drivers

  • Multi-unit approval volatility
  • Private house approvals
  • State-level approval cycles
  • Mortgage-rate and financing conditions

Resolution

source
Australian Bureau of Statistics Building Approvals
expected
July 1, 2026
rule
Resolves to the first published monthly percent change in seasonally adjusted total dwelling units approved for May 2026 in ABS Building Approvals, Australia. Later revisions do not change the resolved value.
Data point
abs.building_approvals.total_dwellings_mom.australia.may_2026.first_print

Series design

series
abs.building_approvals.total_dwellings_mom
cadence
monthly · ~1 month
horizon
next release · first print
priority
P1
benchmark
ABS trend dwelling approvals and residential construction pipeline
chainable
next release · +3 months · housing supply
run
Global near-term indicator source synthesis · Codex recorded source-context synthesis · June 6, 2026

Analyst agent · reasoning trace

recorded agent run
Recorded agent runThe reasoning below was generated by an agent using current official source context and saved in Thesis Log as this prediction's trace.
recorded trace replay

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recorded source check: abs.lookuphidden
recorded source check: abs.lookuphidden

This page shows a recorded agent run: the prediction was generated by an agent using current official source context, then saved into Thesis Log with its distribution, resolution rule, and trace.

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