Money market interest rates, daily, Reserve Bank of Australia
liveThe RBA-sourced series of statistical table F1, Interest Rates and Yields, Money Market, one row per business day from 4 January 2011. The cash rate target and its changes, the interbank overnight cash rate and its highest and lowest traded rates, the volume in millions of dollars and number of transactions in the cash market, the cash rate total return index (4 January 2011 = 100) and the one, three and six month Treasury Note yields. The ASX and FENICS series in the RBA table are third party material and are not republished.
Also called: Table F1 Interest Rates and Yields Money Market, Interbank overnight cash rate history, AONIA daily, Cash rate daily series, Treasury note yields.
- What is in each row?
- One business day since 4 January 2011, with the cash rate target in force, any change announced that day, the interbank overnight cash rate the RBA publishes as the benchmark with its highest and lowest traded rates, the volume and number of cash market transactions, the cash rate total return index and the one, three and six month Treasury Note yields.
- Why are some columns blank for long stretches?
- The series start and stop at different dates. The one and three month Treasury Note yields run from January 2011 to 17 May 2013, and the six month yield has only 12 days, in March 2011. The traded high and low, the volume and the number of transactions start on 20 May 2013. The newest day can have only the total return index until the cash rate for that day is published.
- Why are the bank bill and OIS series not here?
- The RBA table also carries end-of-day bank accepted bill and negotiable certificate of deposit rates sourced from the ASX and overnight indexed swap rates sourced from FENICS. The RBA marks them as third party material that may not be republished without the owner's consent, so they are left out. The RBA-sourced series are all here.
- What does N/A in the source mean?
- The publisher writes N/A where a value was not observed, for example the traded high and low on a day with no transactions. It is kept as null.
- 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.
Made for agents
Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 12 fields, count and filter across all 3,987 rows and diff its versions. Every answer names the version and carries RBA's attribution. No key.
Then ask it: What does Money market interest rates, daily, 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&metric=count
Business days by cash rate target: 717 1.5, 427 4.35, 378 2.5, 376 0.1.
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-money-market-daily/latest/ redirects to the newest version.
https://publicdata.au/d/rba-money-market-daily/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-money-market-daily/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-money-market-daily")
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-money-market-daily")
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-money-market-daily/v/2026-10-02/data.duckdb' AS rba_money_market_daily (READ_ONLY);
SELECT date, count(*) FROM rba_money_market_daily.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-money-market-daily/aggregate?group=cash_rate_target&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 of the observation. |
| cash_rate_target | number | FIRMMCRTD | Cash Rate Target on date. Units: Per cent. RBA series FIRMMCRTD, source RBA. |
| cash_rate_target_change | number | FIRMMCCRT | Change in the Cash Rate Target (in percentage points). Units: Per cent. RBA series FIRMMCCRT, source RBA. |
| interbank_overnight_cash_rate | number | FIRMMCRID | Interbank Overnight Cash Rate on date. Units: Per cent. RBA series FIRMMCRID, source RBA. |
| interbank_overnight_cash_rate_high | number | FIRMMCRIH | Highest Interbank Overnight Cash Rate on date. Units: Per cent. RBA series FIRMMCRIH, source RBA. |
| interbank_overnight_cash_rate_low | number | FIRMMCRIL | Lowest Interbank Overnight Cash Rate on date. Units: Per cent. RBA series FIRMMCRIL, source RBA. |
| cash_market_volume | number | FIRMMCRIV | Volume of Interbank Overnight Cash Market Transactions on date. Units: $m. RBA series FIRMMCRIV, source RBA. |
| cash_market_transactions | integer | FIRMMCRIN | Number of Interbank Overnight Cash Market Transactions on date. Units: Number. RBA series FIRMMCRIN, source RBA. |
| total_return_index | number | FIRMMCTRI | Cash Rate Total Return Index on date. Units: Index 04-Jan-2011=100. RBA series FIRMMCTRI, source RBA. |
| treasury_note_1_month | number | FIRMMTN1D | Treasury Note-1 month. Units: Per cent. RBA series FIRMMTN1D, source RBA. |
| treasury_note_3_month | number | FIRMMTN3D | Treasury Note-3 month. Units: Per cent. RBA series FIRMMTN3D, source RBA. |
| treasury_note_6_month | number | FIRMMTN6D | Treasury Note-6 month. Units: Per cent. RBA series FIRMMTN6D, 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
The ten newest business days with a published interbank overnight cash rate, newest first. A blank cell is shown as null.
| date | cash_rate_target | cash_rate_target_change | interbank_overnight_cash_rate | interbank_overnight_cash_rate_high | interbank_overnight_cash_rate_low | cash_market_volume | cash_market_transactions | total_return_index | treasury_note_1_month | treasury_note_3_month | treasury_note_6_month |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-01 | 4.6 | null | 4.6 | 4.6 | 4.6 | 1097 | 7 | 146.631153 | null | null | null |
| 2026-09-30 | 4.6 | null | 4.6 | 4.6 | 4.6 | 1292 | 10 | 146.612676 | null | null | null |
| 2026-09-29 | 4.35 | null | 4.35 | 4.35 | 4.35 | 2295 | 21 | 146.595205 | null | null | null |
| 2026-09-28 | 4.35 | null | 4.35 | 4.35 | 4.35 | 1458 | 11 | 146.577736 | null | null | null |
| 2026-09-25 | 4.35 | null | 4.35 | 4.35 | 4.35 | 990 | 10 | 146.525348 | null | null | null |
| 2026-09-24 | 4.35 | null | 4.35 | 4.35 | 4.35 | 1135 | 10 | 146.507887 | null | null | null |
| 2026-09-23 | 4.35 | null | 4.35 | 4.35 | 4.35 | 1947 | 17 | 146.490429 | null | null | null |
| 2026-09-22 | 4.35 | null | 4.35 | 4.35 | 4.35 | 1912 | 18 | 146.472973 | null | null | null |
| 2026-09-21 | 4.35 | null | 4.35 | 4.35 | 4.35 | 1996 | 17 | 146.455519 | null | null | null |
| 2026-09-18 | 4.35 | null | 4.35 | 4.35 | 4.35 | 1352 | 10 | 146.403175 | null | null | null |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/rba-money-market-daily/latest/data.json
{
"date": "2011-01-04",
"cash_rate_target": 4.75,
"cash_rate_target_change": null,
"interbank_overnight_cash_rate": 4.75,
"interbank_overnight_cash_rate_high": null,
"interbank_overnight_cash_rate_low": null,
"cash_market_volume": null,
"cash_market_transactions": null,
"total_return_index": 100.0,
"treasury_note_1_month": 4.81,
"treasury_note_3_month": 4.84,
"treasury_note_6_month": 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 2 newest versions are 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.
- 2026-10-02 3,987 rows+1 added −0 removed 2 changed12 fieldsutf-8-sigc2f7be7a3749
- 2026-10-01 3,986 rows+1 added −0 removed 1 changed12 fieldsutf-8-sige1a04647ca54
- 2026-09-30 3,985 rows12 fieldsutf-8-sigc72803b93742
versions.json · changes.json · history.tar.zst (147 KB, every version's Parquet and manifest)
Questions
How do I download Money market interest rates, daily as a CSV file?
Open https://publicdata.au/d/rba-money-market-daily/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/rba-money-market-daily/v/2026-10-02/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 Money market interest rates, daily in Excel?
Yes. https://publicdata.au/d/rba-money-market-daily/v/2026-10-02/data.xlsx is a workbook with the 3,987 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-money-market-daily/v/2026-10-02/data.csv.gz is the CSV at about a tenth of the size.
What years does Money market interest rates, daily cover?
The current version covers 2011 to 2025. Each release from RBA becomes a new dated version here, and earlier versions stay online.
How often is Money market interest rates, daily updated?
RBA releases it daily. This site checks the portal every week and adds a dated version when the file changes.
Can I use Money market interest rates, daily 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 Money market interest rates, daily?
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.