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Inflation decomposition

CPI by all 11 expenditure groups, each weighted by its basket share, so you can see what is driving headline inflation.

history mode ABS

What it answers

What is actually driving headline inflation this quarter? This breaks ABS CPI into all eleven expenditure groups and weights each by its basket share, so you can see whether housing, food, or transport is doing the lifting. It turns one headline number into the contributors behind it.

Call it

curl -H 'Authorization: Bearer ak_your_key' \
  https://api.ausdata.io/v1/inflation-decomposition

History mode

Add start_period and end_period to walk the series back through time instead of returning only the latest point.

curl -H 'Authorization: Bearer ak_your_key' \
  'https://api.ausdata.io/v1/inflation-decomposition?start_period=2015-Q1&end_period=2024-Q4'

Returns

Every response uses the same envelope, {data, meta, links}. The data field carries the answer (an object for a single snapshot, a list when there is one row per entity). The meta field carries the trust contract: the reference periods, retrieved_at, the per-source attribution you reproduce on publish, and the stale flag. The links field offers a csv alternative when one is available.

{
  "data": { ... },
  "meta": {
    "endpoint": "/v1/inflation-decomposition",
    "query": { ... },
    "period": { "start": "...", "end": "..." },
    "row_count": 1,
    "retrieved_at": "<ISO-8601 UTC>",
    "sources": [
      { "name": "...", "url": "...", "attribution": "..." }
    ],
    "stale": false,
    "stale_reason": null,
    "server_version": "..."
  },
  "links": { "csv": null }
}

Draws from

This signal joins data from one source. Each source page lists the underlying datasets and canonical series.

Cross-source signals join multiple sources into one response. Reliability: a signal returns current data or a clear 503; it never serves an older vintage as the current answer.

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