Cash rate target changes, Reserve Bank of Australia
liveTable A2, Changes in Monetary Policy and Administered Rates, from the Reserve Bank of Australia. One row per announced change to the cash rate target from 23 January 1990, with the change in percentage points, the new target, and from December 1994 the change and new level of the rate paid on exchange settlement balances and of the pricing rate on the overnight standing facility. The RBA series IDs are kept in each field description.
Also called: RBA cash rate history, Official cash rate Australia, Interest rate decisions RBA, Table A2 Changes in Monetary Policy and Administered Rates, Monetary policy changes.
- Which decisions are in the table?
- Every change to the cash rate target since January 1990, one row per change, with the new target and the size of the change. Meetings that left the rate unchanged are not rows, because the RBA table records changes. The row for 1 October 1997 records a cut to the rate paid on exchange settlement balances with the target unchanged. The rate paid on exchange settlement balances and the pricing rate on the overnight standing facility are shown from December 1994, when the RBA began publishing them.
- Why are some cells in 1990 null?
- In January, February and April 1990 the RBA announced the target as a range rather than a single figure. The publisher writes those cells as text, 17.00 to 17.50, 16.50 to 17.00 and 15.00 to 15.50 for the target and -0.50 to -1.00 and -1.00 to -1.50 for the change, and they are kept as null here because a range is not a number. The source file beside each version has the text.
- When does a change take effect?
- The date is the day the new target took effect. For recent changes that is the business day after the announcement, so the cut announced on 4 June 2019 is dated 5 June 2019. The daily money market table shows each change on the same date.
- Under what licence is RBA data republished here?
- The RBA excludes its numerical data from the CC BY 4.0 licence that covers the rest of its site, and instead permits it to be used, reproduced, published and communicated to the public for personal or commercial use under sections 4 and 5 of its copyright notice, with attribution and no claim of endorsement. The RBA does not endorse this site or any use of this data, and it publishes the same figures free of charge at rba.gov.au. Every file here carries that attribution.
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Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 7 fields, count and filter across all 99 rows and diff its versions. Every answer names the version and carries RBA's attribution. No key.
Then ask it: What does Cash rate target changes, Reserve Bank of Australia hold, and what changed in the newest version?
claude mcp add --transport http publicdata https://publicdata.au/mcpOne command. No key, no account, no sign-up.
Settings, then Connectors, then Add custom connector, and paste https://publicdata.au/mcp.
On the web and in the desktop app.
https://publicdata.au/mcpStreamable HTTP. Cursor, VS Code or any client that connects to a remote MCP server.
Using https://publicdata.au/llms.txt, how many people died on Queensland roads in 2025, by month?For an assistant that reads the web and has no connector.
The dashboard above, live. Click to filter, add panels, share a link or embed a frame.
Query APIFilter and count from a URLaggregate?group=cash_rate_target_change&metric=count
Rate changes by change in cash rate target: 36 0.25, 26 -0.25, 12 -0.5, 11 -1.0.
Download it as Excel, CSV, JSON and 6 more formats
Pick a format and a version. Excel is picked first because it opens in the tools most offices have. The URL is yours to keep. A dated version never changes.
In your own tools
Use it in Excel, R, Python and more
Excel and Power BI read the CSV from its address and refresh from it. The R and Python packages take any dataset on this site by its slug, so a new dataset needs no new release. The DuckDB file attaches read-only over HTTPS, and a query reads only the blocks it touches.
The dated URL in the code never changes. https://publicdata.au/d/rba-cash-rate/latest/ redirects to the newest version.
https://publicdata.au/d/rba-cash-rate/latest/data.csvIn Excel choose Data, then From Web, and paste this address. Excel keeps it, so Refresh All reads the newest version. A sheet holds about a million rows; past that, load the query to the Data Model.
https://publicdata.au/d/rba-cash-rate/latest/data.csvIn Power BI Desktop choose Get data, then Web, paste this address and choose Anonymous when asked how to sign in. A scheduled refresh reads the same address, so the report follows each new version.
library(publicdataau)
df <- pd_read("rba-cash-rate")
pd_attribution(df)install.packages("publicdataau"). pd_read() fetches the version's Parquet file; pd_rows() and pd_aggregate() ask the query API instead, and pd_connect() attaches the DuckDB file.
import publicdata_au as pd_au
df = pd_au.read("rba-cash-rate")
df.attrs["publicdata"]["attribution"]pip install "publicdata-au[pandas]". read() fetches the version's Parquet file; rows() and aggregate() ask the query API, and connect() attaches the DuckDB file.
INSTALL httpfs; LOAD httpfs;
ATTACH 'https://publicdata.au/d/rba-cash-rate/v/2026-09-29/data.duckdb' AS rba_cash_rate (READ_ONLY);
SELECT date, count(*) FROM rba_cash_rate.records GROUP BY 1 ORDER BY 2 DESC;The DuckDB file attaches read-only over HTTPS and only the blocks a query touches are read. Parquet works the same way: FROM read_parquet(url).
const res = await fetch("https://publicdata.au/api/v1/datasets/rba-cash-rate/aggregate?group=cash_rate_target_change&metric=count");
const { rows, publicdata } = await res.json();
console.log(rows, publicdata.attribution);The query API answers a page on any site as well as Node, with no key. It returns the rows and the attribution the licence asks for.
What is in it
Column names are made snake_case and the publisher's original header is kept beside each one. Blank cells are null. Nothing is added, removed, ranked or summarised.
| Field | Type | Publisher's header | Note |
|---|---|---|---|
| date | date | Series ID | The date the change took effect. |
| cash_rate_target_change | number | ARBAMPCCCR | Change in Cash Rate Target (in percentage points). Units: Per cent. RBA series ARBAMPCCCR, source RBA. |
| cash_rate_target | number | ARBAMPCNCRT | The Cash Rate Target As Announced. Units: Per cent. RBA series ARBAMPCNCRT, source RBA. |
| es_rate_change | number | ARBAMPCRPESB | Change in Rate Paid on Exchange Settlement Balances (in percentage points). Units: Per cent. RBA series ARBAMPCRPESB, source RBA. |
| es_rate | number | ARBAMPNRPESB | The New Rate Paid on Exchange Settlement Balances. Units: Per cent. RBA series ARBAMPNRPESB, source RBA. |
| overnight_repo_rate_change | number | ARBAMPCORR | Change in Pricing Rate on RBA Overnight Standing Facility Repos (in percentage points). Units: Per cent. RBA series ARBAMPCORR, source RBA. |
| overnight_repo_rate | number | ARBAMPNORR | The New Pricing Rate on RBA Overnight Standing Facility Repos. Units: Per cent. RBA series ARBAMPNORR, source RBA. |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is date.
A sample of 10 rows
From the latest version, newest first by date, then in the publisher's order, with every field. A blank cell is shown as null.
| date | cash_rate_target_change | cash_rate_target | es_rate_change | es_rate | overnight_repo_rate_change | overnight_repo_rate |
|---|---|---|---|---|---|---|
| 2026-09-30 | 0.25 | 4.6 | 0.25 | 4.5 | 0.25 | 4.85 |
| 2026-05-06 | 0.25 | 4.35 | 0.25 | 4.25 | 0.25 | 4.6 |
| 2026-03-18 | 0.25 | 4.1 | 0.25 | 4 | 0.25 | 4.35 |
| 2026-02-04 | 0.25 | 3.85 | 0.25 | 3.75 | 0.25 | 4.1 |
| 2025-08-13 | -0.25 | 3.6 | -0.25 | 3.5 | -0.25 | 3.85 |
| 2025-05-21 | -0.25 | 3.85 | -0.25 | 3.75 | -0.25 | 4.1 |
| 2025-02-19 | -0.25 | 4.1 | -0.25 | 4 | -0.25 | 4.35 |
| 2023-11-08 | 0.25 | 4.35 | 0.25 | 4.25 | 0.25 | 4.6 |
| 2023-06-07 | 0.25 | 4.1 | 0.25 | 4 | 0.25 | 4.35 |
| 2023-05-03 | 0.25 | 3.85 | 0.25 | 3.75 | 0.25 | 4.1 |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/rba-cash-rate/latest/data.json
{
"date": "1990-01-23",
"cash_rate_target_change": null,
"cash_rate_target": null,
"es_rate_change": null,
"es_rate": null,
"overnight_repo_rate_change": null,
"overnight_repo_rate": null
}
Query it without downloading
The query API returns only the rows you ask for, as JSON, NDJSON or CSV, from the same typed rows as the files. It needs no key. Build a query here and run it, then copy the URL or the code into your own work.
How filters work
Each filter is field=operator.value in the query string, and every filter must match. A number or date field compares as a number or date, and a text field compares as text. Values are case-sensitive except with ilike. Prefix not. to negate a filter, as not.eq.value.
| Operator | What it matches |
|---|---|
| eq.value | Equal to the value. |
| neq.value | Not equal to the value. A blank cell does not match. |
| gt.value | Greater than the value. |
| gte.value | Greater than or equal to the value. |
| lt.value | Less than the value. |
| lte.value | Less than or equal to the value. |
| like.*text* | Matches a pattern where * stands for any run of characters. Case-sensitive. |
| ilike.*text* | The same as like, ignoring case. |
| in.(a,b,c) | Equal to any value in the list. A value cannot contain a comma. |
| is.null | Blank in the source, or suppressed by the publisher. |
| Parameter | What it does |
|---|---|
| select | Fields to return, comma-separated. Every field when absent. |
| order | field.asc or field.desc, comma-separated. The publisher's row order when absent. |
| limit | Rows per page, 1 to 10,000. 100 when absent. |
| offset | Rows to skip. The next URL in each answer sets it for you. |
| group | On aggregate, fields to group by, comma-separated. |
| metric | On aggregate, count, sum.field, avg.field, min.field or max.field, comma-separated. count when absent. |
| format | json, ndjson or csv. JSON carries the provenance header, and the others carry it in response headers. |
Without a version the API answers from the newest loaded version, and that answer changes when the publisher releases again. Put versions/<date>/ before rows or aggregate for an answer that never changes. /api/v1/datasets/<slug>/versions lists the loaded versions. The 1 newest version is loaded; versions lists them.
The API allows 60 requests in 10 seconds from one address. Above that it answers 429 for 10 seconds with a Retry-After header, a RateLimit-Policy header and a JSON body that gives the limit. Every API answer carries the same RateLimit-Policy. A client should wait the Retry-After seconds, or read the files, which have no limit. openapi.json describes this dataset's query paths for client generators and agents.
https://publicdata.au/mcp is a remote MCP server over Streamable HTTP with the same tools, defined in the same place, so a tool added to the pages is added here too. It needs no key and no account. The row tools are held to the query API's limit of 60 queries in 10 seconds from one address, and each call is two queries because it also counts the matching rows. Add it to Claude Code with claude mcp add --transport http publicdata https://publicdata.au/mcp, add the URL in Claude as a custom connector, or give it to any client that connects to remote MCP servers. Each queryable dataset is also a resource at https://publicdata.au/d/<slug>/fields.json, which lists its fields with their types, the publisher's descriptions, their ranges and the values they hold, so an agent can read a dataset's shape before it writes a query.
What changed
One version for every release the publisher has made since this site started following the dataset. The date is the day the file changed on the portal.
- 2026-09-29 99 rows7 fieldsutf-8-sigcdda36a73186
versions.json · changes.json · history.tar.zst (5.1 KB, every version's Parquet and manifest)
Questions
How do I download Cash rate target changes as a CSV file?
Open https://publicdata.au/d/rba-cash-rate/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/rba-cash-rate/v/2026-09-29/data.csv today. The same path serves Excel, JSON, Parquet, SQLite, DuckDB, NDJSON, Arrow. A dated URL never changes, so use it when the file must stay the same.
Can I open Cash rate target changes in Excel?
Yes. https://publicdata.au/d/rba-cash-rate/v/2026-09-29/data.xlsx is a workbook with the 99 rows on a records sheet, the field list on a second sheet and the provenance on a third. The CSV also opens in Excel. https://publicdata.au/d/rba-cash-rate/v/2026-09-29/data.csv.gz is the CSV at about a tenth of the size.
What years does Cash rate target changes cover?
The current version covers 1990 to 2025. Each release from RBA becomes a new dated version here, and earlier versions stay online.
How often is Cash rate target changes updated?
RBA releases it monthly. This site checks the portal every week and adds a dated version when the file changes.
Can I use Cash rate target changes commercially?
Yes. RBA copyright notice allows commercial use, redistribution and derived works as long as the attribution is kept. The attribution string is in this page's side column and inside every file.
Is this the official source for Cash rate target changes?
No. The publisher is Reserve Bank of Australia, and its page is https://www.rba.gov.au/copyright/. This site republishes the publisher's file without changing its content. The original sits beside every version as source.csv with its SHA-256, so the two can be compared.
What this site did to the data. Cells were typed, headers were renamed and the encoding was made UTF-8. Rows were left alone. The publisher's file sits beside every version as source.csv so the change can be checked.