G1 Consumer Price Inflation

Name: G1 Consumer Price Inflation
Creator: Reserve Bank of Australia
License: RBA Copyright and Disclaimer Notice - Financial Data terms and conditions

One row per normalized RBA long-form record for G1 Consumer Price Inflation, keyed by observation date and series metadata where the source exposes a stable identifier. The table contains 4,450 rows with profile freshness through 2026-03-31 and source frequency reported as quarterly. Values are carried from the Reserve Bank of Australia statistical CSV; value_text preserves source cells alongside parsed numeric values when available.

reserve-bank-of-australia-g1-data·16 columns·17 KB·RBA Copyright and Disclaimer Notice - Financial Data terms and conditions·updated 1mo ago

Source: Reserve Bank of Australia · connector code

Schema

series_id	VARCHAR
series_title	VARCHAR
description	VARCHAR
frequency	VARCHAR
series_type	VARCHAR
units	VARCHAR
source	VARCHAR
publication_date	VARCHAR
obs_date	DATE
dimension_date	VARCHAR
value_text	DOUBLE
source_csv	VARCHAR
partition_key	VARCHAR
record_type	VARCHAR
break_type	VARCHAR
details	VARCHAR

Get this dataset on your machine

subsets sync --bundle medium clones the mid-size tiers as queryable local tables — use --bundle large for the widest tier

pip install subsetsio
subsets sync --bundle small   # or medium, or large
subsets serve   # search + SQL at http://localhost:8080

Free and open — the data syncs straight from the public bucket, and search + SQL run entirely on your machine. See docs →

Query it locally

Full docs →

Bash

subsets serve   # local API on http://localhost:8080
curl -s -X POST "http://localhost:8080/query" \
  -H "Content-Type: application/json" \
  -d '{"sql": "SELECT * FROM \"reserve-bank-of-australia-g1-data\" LIMIT 5"}'

No account, no API key — the data syncs straight from bundles.subsets.io and every query runs on your machine. See the local API reference.