Taxable income, salary, rent, tax and super by postcode, Australia, 2023-24
liveTable 25 of the ATO's Taxation Statistics 2023-24 for individuals, selected items by postcode. Each row is one postcode, with the number of individuals who lodged and, for each item, the number with the item, the share with it where the ATO gives one, and its average and median in dollars.
Also called: Average income by postcode Australia, Median income by postcode ATO, ATO taxation statistics postcode data, Taxation statistics individuals table 25.
- What is in each row?
- One postcode, with the number of individuals who lodged a tax return for the 2023-24 income year and, for each of taxable income, salary and wages, net rent, total income, deductions, business income and expenses, net tax and super balances, the count of individuals with the item and its average and median in dollars. Some items also give the share of individuals with the item, as a fraction.
- Which individuals are counted?
- Counts, averages and medians for taxable income, total income and deductions use every individual, including zeroes. Net rent counts everyone who reported at the label. The other items count only individuals with a value other than zero. The figures come from 2024 returns processed by 31 October 2025 and are not necessarily complete.
- Where are the other years?
- The ATO publishes each income year as its own release with its own columns, so each year is its own table.
Made for agents
Connect your AI agent
Any agent that connects to publicdata.au/mcp can find this dataset, read its 34 fields, count and filter across all 2,564 rows and diff its versions. Every answer names the version and carries ATO's attribution. No key.
Then ask it: What does Taxable income, salary, rent, tax and super by postcode, Australia, 2023-24 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.
A dashboard over every row. Click to filter, add panels, share a link or embed a frame.
Query APIFilter and count from a URLaggregate?group=postcode&metric=max.median_taxable_income_or_loss_aud
Median taxable income in each postcode, 2023-24 ($): 142,580 6716, 134,252 6754, 111,679 6751, 108,110 6713.
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/au-taxable-income-by-postcode-2023-24/latest/ redirects to the newest version.
https://publicdata.au/d/au-taxable-income-by-postcode-2023-24/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/au-taxable-income-by-postcode-2023-24/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("au-taxable-income-by-postcode-2023-24")
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("au-taxable-income-by-postcode-2023-24")
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/au-taxable-income-by-postcode-2023-24/v/2026-06-12/data.duckdb' AS au_taxable_income_by_postcode_2023_24 (READ_ONLY);
SELECT postcode, count(*) FROM au_taxable_income_by_postcode_2023_24.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/au-taxable-income-by-postcode-2023-24/aggregate?group=postcode&metric=max.median_taxable_income_or_loss_aud");
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 |
|---|---|---|---|
| postcode | integer | Postcode | The postcode as the ATO publishes it, as a number, so Northern Territory postcodes such as 0800 appear as 800. |
| individuals | integer | Individuals no. | |
| count_taxable_income_or_loss | integer | Taxable income or loss no. | |
| average_taxable_income_or_loss_aud | integer | Average taxable income or loss $ | |
| median_taxable_income_or_loss_aud | integer | Median taxable income or loss $ | |
| proportion_salary_or_wages | number | Proportion with salary or wages | |
| count_salary_or_wages | integer | Salary or wages no. | |
| average_salary_or_wages_aud | integer | Average salary or wages $ | |
| median_salary_or_wages_aud | integer | Median salary or wages $ | |
| count_net_rent | integer | Net rent no. | |
| proportion_net_rent | number | Proportion with net rent | |
| average_net_rent_aud | integer | Average net rent $ | |
| median_net_rent_aud | integer | Median net rent $ | |
| count_total_income_or_loss | integer | Total income or loss no. | |
| average_total_income_or_loss_aud | integer | Average total income or loss $ | |
| median_total_income_or_loss_aud | integer | Median total income or loss $ | |
| count_total_deductions | integer | Total deductions no. | |
| average_total_deductions_aud | integer | Average total deductions $ | |
| median_total_deductions_aud | integer | Median total deductions $ | |
| count_total_business_income | integer | Total business income no. | |
| proportion_total_business_income | number | Proportion with total business income | |
| average_total_business_income_aud | integer | Average total business income $ | |
| median_total_business_income_aud | integer | Median total business income $ | |
| count_total_business_expenses | integer | Total business expenses no. | |
| proportion_total_business_expenses | number | Proportion with total business expenses | |
| average_total_business_expenses_aud | integer | Average total business expenses $ | |
| median_total_business_expenses_aud | integer | Median total business expenses $ | |
| count_net_tax | integer | Net tax no. | |
| proportion_net_tax | number | Proportion with net tax | |
| average_net_tax_aud | integer | Average net tax $ | |
| median_net_tax_aud | integer | Median net tax $ | |
| count_super_total_accounts_balance | integer | Super total accounts balance no. | |
| average_super_total_accounts_balance_aud | integer | Average super total accounts balance $ | |
| median_super_total_accounts_balance_aud | integer | Median super total accounts balance $ |
Download this table as a data dictionary (Excel), or read it as a Frictionless Table Schema at schema.json. The key is postcode.
A sample of 10 rows
The postcodes with the most individuals lodging a return, most first. A blank cell is shown as null.
| postcode | individuals | count_taxable_income_or_loss | average_taxable_income_or_loss_aud | median_taxable_income_or_loss_aud | proportion_salary_or_wages | count_salary_or_wages | average_salary_or_wages_aud | median_salary_or_wages_aud | count_net_rent | proportion_net_rent | average_net_rent_aud | median_net_rent_aud | count_total_income_or_loss | average_total_income_or_loss_aud | median_total_income_or_loss_aud | count_total_deductions | average_total_deductions_aud | median_total_deductions_aud | count_total_business_income | proportion_total_business_income | average_total_business_income_aud | median_total_business_income_aud | count_total_business_expenses | proportion_total_business_expenses | average_total_business_expenses_aud | median_total_business_expenses_aud | count_net_tax | proportion_net_tax | average_net_tax_aud | median_net_tax_aud | count_super_total_accounts_balance | average_super_total_accounts_balance_aud | median_super_total_accounts_balance_aud |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3029 | 96220 | 96220 | 60836 | 52004 | 0.82 | 78725 | 67652 | 61608 | 12405 | 0.13 | -9168 | -7596 | 96220 | 63690 | 55014 | 96220 | 2834 | 1149 | 17876 | 0.19 | 46679 | 27125 | 16522 | 0.17 | 30167 | 12783 | 75858 | 0.79 | 16376 | 12142 | 96127 | 78178 | 28718 |
| 3030 | 78661 | 78661 | 73383 | 61527 | 0.84 | 65700 | 78612 | 69642 | 13151 | 0.17 | -8339 | -6860 | 78661 | 76722 | 64831 | 78661 | 3300 | 1286 | 8245 | 0.1 | 78491 | 25505 | 7665 | 0.1 | 59332 | 10822 | 63747 | 0.81 | 21630 | 15663 | 83566 | 122139 | 48492 |
| 3977 | 74221 | 74221 | 64247 | 57157 | 0.84 | 62440 | 68181 | 63439 | 8373 | 0.11 | -7374 | -6193 | 74221 | 67296 | 60014 | 74221 | 3017 | 1115 | 9771 | 0.13 | 57904 | 31209 | 9240 | 0.12 | 35082 | 12895 | 60971 | 0.82 | 16934 | 13101 | 78353 | 102169 | 46249 |
| 3064 | 74117 | 74117 | 59633 | 52219 | 0.82 | 60464 | 65775 | 61033 | 8295 | 0.11 | -8137 | -6959 | 74117 | 62418 | 55023 | 74117 | 2752 | 1154 | 12560 | 0.17 | 55546 | 28706 | 11779 | 0.16 | 37609 | 13069 | 58407 | 0.79 | 15755 | 12170 | 73255 | 72644 | 29256 |
| 4350 | 71476 | 71476 | 71246 | 57299 | 0.81 | 58143 | 69917 | 62526 | 7204 | 0.1 | 1180 | 0 | 71476 | 75062 | 60505 | 71476 | 3682 | 942 | 6108 | 0.09 | 81186 | 25066 | 5812 | 0.08 | 49871 | 11280 | 57094 | 0.8 | 21225 | 13742 | 78270 | 189655 | 66527 |
| 2170 | 62547 | 62547 | 63843 | 55214 | 0.83 | 51893 | 68190 | 62810 | 8535 | 0.14 | -2750 | -2702 | 62547 | 66818 | 58165 | 62547 | 2949 | 1118 | 6935 | 0.11 | 78072 | 32000 | 6491 | 0.1 | 57195 | 15052 | 49298 | 0.79 | 17726 | 13316 | 67162 | 101582 | 36722 |
| 4740 | 58301 | 58301 | 84174 | 68683 | 0.86 | 50333 | 84583 | 72982 | 5584 | 0.1 | -15 | -272 | 58301 | 87959 | 72197 | 58301 | 3689 | 1230 | 3475 | 0.06 | 107843 | 31592 | 3358 | 0.06 | 75102 | 14600 | 48877 | 0.84 | 25378 | 18189 | 64875 | 183368 | 80701 |
| 2145 | 55227 | 55227 | 72837 | 60963 | 0.84 | 46642 | 78026 | 69908 | 9496 | 0.17 | -5079 | -4399 | 55227 | 75914 | 64287 | 55227 | 3031 | 1248 | 6393 | 0.12 | 116610 | 24310 | 5926 | 0.11 | 101722 | 10954 | 44560 | 0.81 | 21390 | 15617 | 58416 | 115110 | 40231 |
| 2155 | 52199 | 52199 | 92376 | 74592 | 0.85 | 44351 | 96093 | 83687 | 13016 | 0.25 | -8166 | -6228 | 52199 | 95985 | 78160 | 52199 | 3557 | 1322 | 4490 | 0.09 | 101137 | 27058 | 4204 | 0.08 | 74298 | 11192 | 43178 | 0.83 | 30097 | 21420 | 54077 | 162468 | 78879 |
| 4209 | 50875 | 50875 | 68510 | 58233 | 0.85 | 43437 | 68923 | 62719 | 3798 | 0.07 | -2443 | -2083 | 50875 | 71855 | 61145 | 50875 | 3255 | 1130 | 5574 | 0.11 | 56872 | 28810 | 5257 | 0.1 | 33339 | 11652 | 41795 | 0.82 | 19018 | 13366 | 53627 | 95610 | 37946 |
The first row as JSON
As it appears in data.json.
GET https://publicdata.au/d/au-taxable-income-by-postcode-2023-24/latest/data.json
{
"postcode": 800,
"individuals": 5907,
"count_taxable_income_or_loss": 5907,
"average_taxable_income_or_loss_aud": 74573,
"median_taxable_income_or_loss_aud": 63390,
"proportion_salary_or_wages": 0.91,
"count_salary_or_wages": 5348,
"average_salary_or_wages_aud": 73430,
"median_salary_or_wages_aud": 66907,
"count_net_rent": 724,
"proportion_net_rent": 0.12,
"average_net_rent_aud": -2506,
"median_net_rent_aud": -1901,
"count_total_income_or_loss": 5907,
"average_total_income_or_loss_aud": 78222,
"median_total_income_or_loss_aud": 66734,
"count_total_deductions": 5907,
"average_total_deductions_aud": 3630,
"median_total_deductions_aud": 1584,
"count_total_business_income": 560,
"proportion_total_business_income": 0.09,
"average_total_business_income_aud": 45776,
"median_total_business_income_aud": 16318,
"count_total_business_expenses": 518,
"proportion_total_business_expenses": 0.09,
"average_total_business_expenses_aud": 30823,
"median_total_business_expenses_aud": 7180,
"count_net_tax": 5202,
"proportion_net_tax": 0.88,
"average_net_tax_aud": 19663,
"median_net_tax_aud": 13867,
"count_super_total_accounts_balance": 6759,
"average_super_total_accounts_balance_aud": 115076,
"median_super_total_accounts_balance_aud": 23927
}
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.
- 2026-06-12 2,564 rows34 fieldsxlsx93cde81b46fa
versions.json · changes.json · history.tar.zst (191 KB, every version's Parquet and manifest)
Questions
How do I download Taxable income, salary, rent, tax and super by postcode, Australia as a CSV file?
Open https://publicdata.au/d/au-taxable-income-by-postcode-2023-24/latest/data.csv. It redirects to the newest dated version, which is https://publicdata.au/d/au-taxable-income-by-postcode-2023-24/v/2026-06-12/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 Taxable income, salary, rent, tax and super by postcode, Australia in Excel?
Yes. https://publicdata.au/d/au-taxable-income-by-postcode-2023-24/v/2026-06-12/data.xlsx is a workbook with the 2,564 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/au-taxable-income-by-postcode-2023-24/v/2026-06-12/data.csv.gz is the CSV at about a tenth of the size.
What years does Taxable income, salary, rent, tax and super by postcode, Australia cover?
The current version covers the years since 2023. Each release from ATO becomes a new dated version here, and earlier versions stay online.
How often is Taxable income, salary, rent, tax and super by postcode, Australia updated?
ATO releases it yearly. This site checks the portal every week and adds a dated version when the file changes.
Can I use Taxable income, salary, rent, tax and super by postcode, Australia commercially?
Yes. CC BY 2.5 AU 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 Taxable income, salary, rent, tax and super by postcode, Australia?
No. The publisher is Australian Taxation Office, and its page is https://data.gov.au/data/dataset/taxation-statistics-2023-24. This site republishes the publisher's file without changing its content. The original sits beside every version as source.xlsx 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.xlsx so the change can be checked.