← Germanychartlink · choropleth
Germany by: districts · states
Map of Germany by district, one number per district
Also: Germany map by district · Landkreise Karte · Deutschland Karte nach Landkreisen · German Kreise choropleth · map of Germany's 400 districts with the state borders

Example: Population of Germany's districts, 2025 — Population on 1 January 2025 by district, from Eurostat's regional demography. State (Land) borders are drawn on top.
About this template
Data: one row per district with its NUTS 2024 code (DE111 for Stuttgart, DE300 for Berlin) or its name — in the local language or in English — and a number. A district with no row stays grey. The state (Land) borders are drawn on top. Same design as the other country maps.
A choropleth map of the regions of the "de-nuts3" geography, each region filled by one number from your data (the "population" column). The borders of the "de-nuts1" regions are drawn on top of the regions in dark navy blue, 1 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 80000 to 400000, 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 — district (string, "District (NUTS code or name)"), population (number, "Population, 1 January 2025") — and 400 rows in the example "Population of Germany's districts, 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_7oayIdaRP86A5u8JIe794; buckets (with the values in classes and a swatch legend): ast_KcGpQuvyAitteeKaU0Aqy; editorial (in the editorial house style — serif type on paper, a green ramp): ast_9VEhUIVpIy9pg1IlWyFzA; categories (with a text category per region and a swatch legend): ast_BLb836zKQPLyONLEpN2jI; buckets-dark (with the values in classes and a swatch legend, on a dark canvas): ast_YhLGgZgR2yuwn1g4xejmN; surroundings (with the land around the place drawn in grey): ast_0mkAXVHvOWl2Zy6zjwt3S; categories-dark (with a text category per region and a swatch legend, on a dark canvas): ast_yp9naC5VEZaMIZS7YZjll; buckets-editorial (with the values in classes and a swatch legend, in the editorial house style — serif type on paper, a green ramp): ast_TUB2vVeRNmLhMgzjfzlqE; dark-surroundings (on a dark canvas, with the land around the place drawn in grey): ast_t548rBN1u0NVNbNhJdlWJ; buckets-surroundings (with the values in classes and a swatch legend, with the land around the place drawn in grey): ast_zVWvP99JfGhU5B5OUW6mK; 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_TqEoGU73BJYLtLMUHVerZ; editorial-surroundings (in the editorial house style — serif type on paper, a green ramp, with the land around the place drawn in grey): ast_bDjCV75RUvbxNyHg55U0x; categories-surroundings (with a text category per region and a swatch legend, with the land around the place drawn in grey): ast_dx92pzXb9uwkeVpSq358O; 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_eGEd0u45ntO1cBfG4ejOo; 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_8uTRcJHDO3B1BKm2qCKQ5; 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_CtQ6wkp9tSZmfDolAdhvC; 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_SOnhFj51ZFN5UKz3zUTAB. 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 |
|---|---|---|
| district | string | District (NUTS code or name) |
| population | number | Population, 1 January 2025 |
400 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_wLfIBY0mZwusAMxfDThnN",
"knobs": {
"theme": "light",
"dataType": "gradient",
"title": {
"text": "Your title"
},
"source": {
"text": "Where the numbers come from"
}
},
"data": {
"columns": [
{
"id": "district",
"type": "string"
},
{
"id": "population",
"type": "number"
}
],
"rows": [
[
"…"
]
]
},
"publish": true
}The recipe (the template's settings)
{
"chart": {
"domain": [
80000,
400000
],
"format": {
"kind": "number",
"compact": true,
"decimals": 1
},
"borders": {
"color": "#1f2937",
"width": 1,
"geography": "de-nuts1"
},
"outline": {
"width": 0.3
},
"geography": "de-nuts3"
},
"title": {
"text": "Population of Germany's districts, 2025"
},
"preset": "map-light",
"source": {
"url": "https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanaggr3/default/table",
"text": "Eurostat, population on 1 January by NUTS region (demo_r_pjanaggr3), 2025"
},
"encoding": {
"value": {
"column": "population"
},
"region": {
"column": "district"
}
},
"description": {
"text": "Population on 1 January 2025 by district, from Eurostat's regional demography. State (Land) borders are drawn on top."
}
}map · choropleth · germany · districts · europe · country-regions
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