How to Play the World of Maps Daily Geography Game

1. 🌎 Analyze the Globe Visualization

Each country is shaded based on a real dataset (e.g. population density, life expectancy, GDP, renewable energy). Identify spatial clusters, outliers and continental contrasts.

2. 🤔 Make a Data-Driven Guess

Enter or select what you think the dataset represents: demographics, economy, environment, health, infrastructure, technology or education indicators.

3. 🎯 Narrow It Down

If your first guess is wrong, the remaining options stay on screen so you can refine your thinking. The fewer tries you need, the better your score — and you carry that intuition into the next day's map.

4. 🎉 Share & Compare

Post your spoiler-safe grid to friends or study groups. Encourage competition while spreading world data literacy.

Tips for Faster Geography Recognition

Trace continent-by-continent intensity—does Africa lag or lead? Are Nordics clustered?
Relate patterns to development, climate zones, resource access or demographics.
Eliminate quickly: rule out options that clearly don't match the regional pattern.
Remember high-income economies often correlate with health, internet and education metrics.

Other ways to play

Guess the Year mode — the dataset is named ("Internet Users"), the year is hidden. Slide to a year between 2000 and 2024 and see how close you got. Stats are tracked separately from the daily streak.
Past challenges archive — replay any of the last 30 days. Doesn't affect your daily streak, so it's safe to catch up.
Hard mode — open the ⋯ menu on the daily game and toggle it on. You'll see 4 options instead of 10 (3 wrong + 1 correct). The page reloads to apply the new option count, and shares switch to N/4 with a 🎯 tag.
Challenge a friend — after you solve today's puzzle, the win screen has a "📨 Challenge a friend" button. Sends a link that lands them on the same puzzle with your score visible: "they solved in 2/10 — can you?"

Explore the data behind the maps

When you're done playing, the Data Atlas has one page per dataset with the full ranked country table, key stats, and the data source. The blog has short rankings posts ("the 10 countries with the highest internet usage" etc.) built from the same numbers.