← Australiachartlink · choropleth
Australia by: SA4 regions · local government areas · states and territories
Map of Australia by SA4 statistical region, one number per region
Also: Australia map by SA4 · Australia regions map · Statistical Area Level 4 map · Australian regional choropleth · map of Australia's 88 SA4 regions with the state borders
Example: Population of Australia's SA4 regions, 2025 — The ABS's estimated resident population at 30 June 2025 by Statistical Area Level 4. The capital-city regions hold most people; the outback regions of Western Australia and the Northern Territory the fewest over the largest areas.
About this template
Data: one row per SA4 region with its ASGS 2021 code (117 for Sydney - City and Inner South, 206 for Melbourne - Inner) or its name, and a number. A region with no row stays grey. SA4s are the ABS's labour-market regions, the level most regional statistics are published at: 88 of them cover the whole country. State borders are drawn on top. Same design as the other country maps.
A choropleth map of the regions of the "au-sa4" geography, each region filled by one number from your data (the "population" column). The borders of Australia's regions are drawn on top of the regions in dark navy blue, 0.5 units wide, so the finer regions read inside their larger units.
A sequential colour scale from pale blue for the smallest values to deep navy blue for the largest; pinned to 100000 to 700000, so values beyond the ends take the end colour and the colour bar says ≤ and ≥; a gradient colour bar below the map, with its labels underneath; values formatted in compact form (1.2k, 3.4M), 1 decimal; on a white canvas (#ffffff) with near-black text — a light theme; 0.3-unit hairline outlines between regions.
The title and description are left-aligned above the chart. Font: Inter (the default); a source line with a link sits at the bottom, with the chartlink badge in the corner.
Data: 2 columns — region (string, "SA4 region (ASGS code or name)"), population (number, "Population, 30 June 2025") — and 88 rows in the example "Population of Australia's SA4 regions, 2025". Regions are named by ISO 3166-2 region codes or region names; a region with no row stays unfilled in grey, and an unknown code fails loudly with the nearest matches. Your data keeps the same column ids and every other setting comes from the template; an agent can change any of them.
Other looks of this template — dark (on a dark canvas): ast_GsC27G6obdmJWdu7zuu8V; buckets (with the values in classes and a swatch legend): ast_JrON5n1ew4z60KfSbi1aZ; editorial (in the editorial house style — serif type on paper, a green ramp): ast_x1CQPsBrdue9qc4vbjAAB; categories (with a text category per region and a swatch legend): ast_LkpzbS5Qu8ryWhrbV3NpH; buckets-dark (with the values in classes and a swatch legend, on a dark canvas): ast_dhj7PTl033riH4QQ2d8O0; surroundings (with the land around the place drawn in grey): ast_OleQDKDfNQFHJruSsWbtF; categories-dark (with a text category per region and a swatch legend, on a dark canvas): ast_XrcZah19axpIutKAT2rXl; buckets-editorial (with the values in classes and a swatch legend, in the editorial house style — serif type on paper, a green ramp): ast_w2xqp96HoP2vliGMvdmv5; dark-surroundings (on a dark canvas, with the land around the place drawn in grey): ast_zBfveVJi6pC9Nykj5fFJq; buckets-surroundings (with the values in classes and a swatch legend, with the land around the place drawn in grey): ast_k5CsbwwdDYRpy4emmr2Nq; categories-editorial (with a text category per region and a swatch legend, in the editorial house style — serif type on paper, a green ramp): ast_a9gdZh4mQFECsK6i3FGFm; editorial-surroundings (in the editorial house style — serif type on paper, a green ramp, with the land around the place drawn in grey): ast_PSXSGkn7zGMgrpW2Gztcp; categories-surroundings (with a text category per region and a swatch legend, with the land around the place drawn in grey): ast_eFsW0kwfiClqAPvqbYwxY; buckets-dark-surroundings (with the values in classes and a swatch legend, on a dark canvas, with the land around the place drawn in grey): ast_1jQxQg4COAmI8W6e0XucN; categories-dark-surroundings (with a text category per region and a swatch legend, on a dark canvas, with the land around the place drawn in grey): ast_q7G7w3cH3mL5CrlXPb0Hh; buckets-editorial-surroundings (with the values in classes and a swatch legend, in the editorial house style — serif type on paper, a green ramp, with the land around the place drawn in grey): ast_BKDNWYkKjQCbLYJnHrqPH; categories-editorial-surroundings (with a text category per region and a swatch legend, in the editorial house style — serif type on paper, a green ramp, with the land around the place drawn in grey): ast_21g1dl8q9FAof06RVl5Kd. On the page, switch with the toggles; an agent passes that id as the template instead.
Use it with your agent
Copy the prompt, paste it into Claude, ChatGPT, Cursor or any agent with the chartlink MCP server or API, and give it your numbers. It rebuilds this exact design with your data and hands back an embed, a PNG and a page.
The prompt in full
Data this template expects
| column id | type | in the example |
|---|---|---|
| region | string | SA4 region (ASGS code or name) |
| population | number | Population, 30 June 2025 |
88 rows in the example. Your data keeps these column ids; everything else about the chart comes from the template.
For agents: the API call
POST https://chartlink.app/api/assets
{
"template": "ast_Vj3ICKNHETJiJJA0qFpKr",
"knobs": {
"theme": "light",
"dataType": "gradient",
"title": {
"text": "Your title"
},
"source": {
"text": "Where the numbers come from"
}
},
"data": {
"columns": [
{
"id": "region",
"type": "string"
},
{
"id": "population",
"type": "number"
}
],
"rows": [
[
"…"
]
]
},
"publish": true
}The recipe (the template's settings)
{
"chart": {
"domain": [
100000,
700000
],
"format": {
"kind": "number",
"compact": true,
"decimals": 1
},
"borders": {
"color": "#1f2937",
"width": 0.5,
"geography": "au-regions"
},
"outline": {
"width": 0.3
},
"geography": "au-sa4"
},
"title": {
"text": "Population of Australia's SA4 regions, 2025"
},
"preset": "map-light",
"source": {
"url": "https://www.abs.gov.au/statistics/people/population/regional-population",
"text": "ABS, estimated resident population, 30 June 2025"
},
"encoding": {
"value": {
"column": "population"
},
"region": {
"column": "region"
}
},
"description": {
"text": "The ABS's estimated resident population at 30 June 2025 by Statistical Area Level 4. The capital-city regions hold most people; the outback regions of Western Australia and the Northern Territory the fewest over the largest areas."
}
}map · choropleth · australia · sa4-regions · regions · country-regions
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