We coloured every country by its flag's dominant colour

There's a surprising amount of red on this map. Once you shade every country by the single dominant colour in its flag, the planet starts to look less like 195 individual designs and more like a few big colour stories.

Red is the world's default

Red dominates huge stretches of Europe and Asia — from the UK and Spain through to China, Japan and most of the post-Soviet world. It's the most common colour in national flags overall, and when you force each country down to one shade, red swallows whole regions.

Why? Red is cheap to dye, high-contrast, and historically loaded — it shows up in flags of revolution, monarchy and communism alike. Different stories, same pigment.

A green belt across Africa and the Middle East

Green shows up heavily across North and West Africa and parts of the Middle East — reflecting how common green is on the flags of many Muslim-majority countries, where it carries deep religious significance. On the map it reads as an almost continuous band stretching from the Atlantic coast of Africa through to the Arabian Peninsula.

Blue's quiet clusters

Blue has its own clusters, especially in Europe and Oceania, while yellow and orange appear much more sporadically — usually as accents rather than the dominant field. The Pacific is where blue really takes over, which makes intuitive sense for nations defined by ocean.

The outliers worth knowing

And then there are the fun exceptions — the countries that break their neighbourhood's pattern the moment you look:

• Canada — a lone red maple leaf sitting above a mostly multicolour continent.
• Brazil — green and yellow in a hemisphere leaning red and blue.
• India & Japan — saffron and a red disc that refuse to blend into the Asian red mass around them.
• Australia — deep blue, anchoring the Oceanic cluster.

How this map was made

We took the list of national flag colours, picked the single most visually dominant colour per country, and shaded a world map in category mode — one fixed colour per value. The whole thing took a few minutes in the editor; the data went in as a two-column table (country, colour) and the map coloured itself.