What We Are Measuring
The Global Ethnic Map does not measure ethnic distribution directly. It measures perception of ethnic distribution. Users from around the world select ethnicities that they think are present in various countries, and the map aggregates these votes into a color-coded visualization. What you see is a crowd consensus of perception, not a demographic ground truth.
This distinction matters. A country may show a strong color for a particular ethnic group not because that group is the largest in the country by population, but because voters perceive it as visible, characteristic, or otherwise notable. Conversely, a demographically significant group may be underrepresented on the map if voters are less familiar with it.
For actual demographic statistics, users should consult primary sources such as national census bureaus, the CIA World Factbook, or academic demographic research. This site is designed as a complement to such sources, providing a view of how humans understand human diversity that traditional data does not capture.
The Voting System
Voting is intentionally simple. A user selects an ethnicity from a curated list of 23 broad categories, then taps or clicks a country to register a vote. The vote is recorded with the country and the ethnicity, along with anonymized technical information used for spam prevention.
Users may vote for multiple ethnicities in the same country. This reflects our understanding that most countries have complex ethnic composition and cannot be reduced to a single label. A user might vote both "Germanic" and "Slavic" for a Central European country, or "Arab" and "Sub-Saharan African" for a North African country, and both votes would count.
The system does not currently allow negative voting or ranking. Every vote is a positive assertion that a group is present, not a claim about proportions. The color displayed on the map represents the highest-voted category, but this is a simplification and does not mean that other groups are absent.
Custom Tags and Moderation
If a user does not find an ethnicity in the standard list, they can submit a custom tag. Submitted tags enter a moderation queue and are not immediately displayed on the map. This design choice reflects our concern that unmoderated user input on ethnic topics can quickly produce spam, slurs, or joke entries.
Custom tags are reviewed manually. Tags that represent legitimate ethnic groups may be approved and become visible in the aggregate data. Tags that are duplicates of existing categories may be merged. Tags that are offensive, incoherent, or clearly not ethnic categories are rejected and hidden from public display.
When a custom tag receives significant support from multiple independent users, it may be promoted to a permanent category with its own dedicated page. This is how the system evolves: driven by user input rather than by top-down decisions about which groups to include.
Anti-Spam Measures
To prevent one user from artificially inflating the vote count for any group, the system uses several layers of protection. First, browser-based tracking prevents the same device from voting for the same combination twice. Second, a fingerprint derived from the user's network connection and browser makes it harder to reset by clearing cookies. Third, database-level constraints prevent duplicate entries even if the frontend checks are bypassed.
These measures are not perfect. A determined user with multiple devices, VPNs, and browsers can still cast multiple votes. The system is designed to make casual manipulation ineffective while accepting that determined bad-faith actors cannot be fully prevented. The overall pattern of thousands of independent user contributions provides the real defense against manipulation.
We also monitor for coordinated activity. Sudden spikes in votes for a particular ethnicity or country trigger review, and votes clearly resulting from brigading or bot activity can be filtered from the displayed aggregates.
Privacy and Data Handling
The system stores anonymized information about each vote: the country and ethnicity voted, an approximated location derived from network data, and a cryptographic fingerprint used only for duplicate detection. No personal information is collected, no user accounts are required, and no individual voter can be identified from stored data.
The fingerprint used for spam prevention is a one-way hash and cannot be reversed to identify a user. It is used only to detect repeat voting from the same effective device. Under European privacy regulations (GDPR), this data is minimal and used only for the stated purpose of preventing abuse.
Aggregate vote counts are public and displayed on the map. Individual votes are not exposed publicly and cannot be traced to individual users. Full details are available in our privacy policy.
What This Map Is Good For
This project is best understood as a real-time snapshot of global perception. It is useful for exploring how people around the world understand ethnic diversity, for identifying gaps between perception and reality (when compared with demographic data), and for illustrating the fluid and constructed nature of ethnic categories.
It is not useful as a source of authoritative demographic statistics, for policy decisions, for academic citations of population numbers, or for any purpose where perception and reality must be distinguished. For those purposes, official statistical sources are appropriate.
We hope that this transparency about the map's design and limitations helps users interpret the results appropriately. Ethnic mapping is a fraught endeavor with a complex history, and we take seriously the responsibility of presenting user contributions honestly and without misleading claims about what they represent.