Color Blindness Rates by Country: A Global Overview
Color blindness, medically known as color vision deficiency, affects millions of people worldwide. This condition makes it difficult or impossible to distinguish between certain colors, most commonly red and green. While often inherited, the prevalence of color blindness varies significantly across different countries and populations.

Understanding Color Blindness Prevalence
Color blindness is primarily a genetic condition linked to the X chromosome, which explains why it predominantly affects males. Approximately 8% of men experience some form of color vision deficiency, while only 0.5% of women are affected worldwide. This dramatic difference exists because males have only one X chromosome, so a single recessive gene causes color blindness. Females need the gene on both X chromosomes to be affected, making it roughly 16 times more common in men.
The statistics presented here represent population averages across both sexes. The global distribution of color vision deficiency reveals fascinating patterns influenced by genetics, ethnic background, and population demographics.
Countries with the Highest Rates
Several nations show notably elevated color blindness rates. Ireland leads globally with 5.3% of its population affected, followed closely by India at 5.2%. Other countries with high prevalence include Russia (4.8%), Norway (4.7%), and both France and the United Kingdom at 4.5% each.
The prevalence in Germany stands at 4.1%, while Australia, New Zealand, and various Pacific island nations including Samoa, Fiji's neighboring islands, and French Polynesia show rates around 4.37%. This clustering in Oceania suggests possible genetic factors specific to these populations.
Regional Patterns and Variations
Europe
Most European countries display relatively consistent rates between 2.75% and 4.5%. Nations like Austria, Belgium, Denmark, Finland, Greece, Netherlands, Poland, Spain, and Sweden all report 2.75%, indicating a fairly uniform genetic distribution across the continent. Southern European countries show slight variations, with Italy at 3.2%.
Middle East and North Africa
Middle Eastern nations present diverse statistics. Iran shows 3.8%, while Jordan matches France and the UK at 4.5%. Saudi Arabia reports 3.28%, and most other countries in the region, including Egypt, Iraq, Israel, Kuwait, Lebanon, Oman, Qatar, Syria, UAE, and Yemen, cluster around 2.18%. Interestingly, Libya reports a notably lower rate of 1.9%.
Asia
Asian countries generally show lower prevalence rates. Japan stands at 2.6%, while China, Hong Kong, South Korea, Taiwan, Thailand, Vietnam, Indonesia, Philippines, and most Southeast Asian nations report approximately 2.18%. However, India's 5.2% significantly exceeds the regional average, making it one of the highest globally. Nepal shows 3.2% and Singapore 2.8%.
Africa
Sub-Saharan African countries predominantly report 2.86%, including nations like Nigeria, Kenya, South Africa, Ghana, Ethiopia, Senegal, and Zimbabwe. However, some countries show notably lower rates. Cameroon and DR Congo both report 1.7%, while Fiji remarkably shows just 0.8%, the lowest rate globally.
Americas
North American rates vary considerably. The United States reports 2.08%, while Canada matches this figure. Mexico shows an exceptionally low 1.25%, one of the lowest rates worldwide. Most Caribbean and Central American nations report around 2.7%, and South American countries like Brazil, Argentina, Chile, Colombia, Peru, and Venezuela share similar figures.
Interesting Facts and Patterns
The Gender Gap in Detail
While population averages range from 0.8% to 5.3%, the male rates in high-prevalence countries can reach 8-10%, meaning approximately one in every 10-12 men may be color blind in Ireland or India. In contrast, even in these countries, female rates typically remain below 1%. This creates significant implications for workplace diversity, education systems, and product design.
Genetic Anomalies and Rare Cases
Some populations show unexpected patterns. Fiji's remarkably low 0.8% suggests either genetic isolation or unique protective factors. Mexico's 1.25% is similarly unusual for a large, genetically diverse population. These outliers intrigue geneticists studying the evolution of color vision genes.
The "Color Vision Privilege" Countries
Several nations report among the world's lowest rates: Bahamas and Bermuda (2.08%), Libya (1.9%), Cameroon and DR Congo (1.7%), Mexico (1.25%), and Fiji (0.8%). The reasons vary from genetic isolation to founder effects in their ancestral populations.
Color Blindness Rates by Country: A Global Overview
|
#
|
Country
|
Percentage (%)
|
|---|---|---|
| 1 |
Ireland
IE
|
5.3% |
| 2 |
India
IN
|
5.2% |
| 3 |
Russia
RU
|
4.8% |
| 4 |
Norway
NO
|
4.7% |
| 5 |
France
FR
|
4.5% |
| 6 |
Jordan
JO
|
4.5% |
| 7 |
United Kingdom
GB
|
4.5% |
| 8 |
American Samoa
AS
|
4.37% |
| 9 |
Australia
AU
|
4.37% |
| 10 |
Cook Islands
CK
|
4.37% |
| 11 |
French Polynesia
PF
|
4.37% |
| 12 |
Guam
GU
|
4.37% |
| 13 |
Kiribati
KI
|
4.37% |
| 14 |
Marshall Islands
MH
|
4.37% |
| 15 |
Micronesia
FM
|
4.37% |
| 16 |
Nauru
NR
|
4.37% |
| 17 |
New Caledonia
NC
|
4.37% |
| 18 |
New Zealand
NZ
|
4.37% |
| 19 |
Niue
NU
|
4.37% |
| 20 |
Northern Mariana Islands
MP
|
4.37% |
| 21 |
Palau
PW
|
4.37% |
| 22 |
Papua New Guinea
PG
|
4.37% |
| 23 |
Samoa
WS
|
4.37% |
| 24 |
Solomon Islands
SB
|
4.37% |
| 25 |
Tokelau
TK
|
4.37% |
| 26 |
Tonga
TO
|
4.37% |
| 27 |
Tuvalu
TV
|
4.37% |
| 28 |
Vanuatu
VU
|
4.37% |
| 29 |
Wallis and Futuna
WF
|
4.37% |
| 30 |
Germany
DE
|
4.1% |
| 31 |
Türkiye
TR
|
3.9% |
| 32 |
Iran
IR
|
3.8% |
| 33 |
Ethiopia
ET
|
3.63% |
| 34 |
Saudi Arabia
SA
|
3.28% |
| 35 |
Italy
IT
|
3.2% |
| 36 |
Nepal
NP
|
3.2% |
| 37 |
Algeria
DZ
|
2.86% |
| 38 |
Angola
AO
|
2.86% |
| 39 |
Benin
BJ
|
2.86% |
| 40 |
Botswana
BW
|
2.86% |
| 41 |
Burkina Faso
BF
|
2.86% |
| 42 |
Burundi
BI
|
2.86% |
| 43 |
Cape Verde
CV
|
2.86% |
| 44 |
Central African Republic
CF
|
2.86% |
| 45 |
Chad
TD
|
2.86% |
| 46 |
Comoros
KM
|
2.86% |
| 47 |
Congo
CG
|
2.86% |
| 48 |
Djibouti
DJ
|
2.86% |
| 49 |
Equatorial Guinea
GQ
|
2.86% |
| 50 |
Eritrea
ER
|
2.86% |
| 51 |
Eswatini
SZ
|
2.86% |
| 52 |
Gabon
GA
|
2.86% |
| 53 |
Gambia
GM
|
2.86% |
| 54 |
Ghana
GH
|
2.86% |
| 55 |
Guinea
GN
|
2.86% |
| 56 |
Guinea-Bissau
GW
|
2.86% |
| 57 |
Ivory Coast
CI
|
2.86% |
| 58 |
Kenya
KE
|
2.86% |
| 59 |
Lesotho
LS
|
2.86% |
| 60 |
Liberia
LR
|
2.86% |
| 61 |
Madagascar
MG
|
2.86% |
| 62 |
Malawi
MW
|
2.86% |
| 63 |
Mali
ML
|
2.86% |
| 64 |
Mauritania
MR
|
2.86% |
| 65 |
Mauritius
MU
|
2.86% |
| 66 |
Mayotte
YT
|
2.86% |
| 67 |
Morocco
MA
|
2.86% |
| 68 |
Mozambique
MZ
|
2.86% |
| 69 |
Namibia
NA
|
2.86% |
| 70 |
Niger
NE
|
2.86% |
| 71 |
Réunion
RE
|
2.86% |
| 72 |
Rwanda
RW
|
2.86% |
| 73 |
Sao Tome and Principe
ST
|
2.86% |
| 74 |
Senegal
SN
|
2.86% |
| 75 |
Seychelles
SC
|
2.86% |
| 76 |
Sierra Leone
SL
|
2.86% |
| 77 |
Somalia
SO
|
2.86% |
| 78 |
South Sudan
SS
|
2.86% |
| 79 |
Sudan
SD
|
2.86% |
| 80 |
Tanzania
TZ
|
2.86% |
| 81 |
Togo
TG
|
2.86% |
| 82 |
Tunisia
TN
|
2.86% |
| 83 |
Uganda
UG
|
2.86% |
| 84 |
Western Sahara
EH
|
2.86% |
| 85 |
Zambia
ZM
|
2.86% |
| 86 |
Zimbabwe
ZW
|
2.86% |
| 87 |
Singapore
SG
|
2.8% |
| 88 |
Åland Islands
AX
|
2.75% |
| 89 |
Albania
AL
|
2.75% |
| 90 |
Andorra
AD
|
2.75% |
| 91 |
Armenia
AM
|
2.75% |
| 92 |
Austria
AT
|
2.75% |
| 93 |
Belarus
BY
|
2.75% |
| 94 |
Belgium
BE
|
2.75% |
| 95 |
Bosnia and Herzegovina
BA
|
2.75% |
| 96 |
Bulgaria
BG
|
2.75% |
| 97 |
Croatia
HR
|
2.75% |
| 98 |
Cyprus
CY
|
2.75% |
| 99 |
Czech Republic
CZ
|
2.75% |
| 100 |
Denmark
DK
|
2.75% |
| 101 |
Estonia
EE
|
2.75% |
| 102 |
Faroe Islands
FO
|
2.75% |
| 103 |
Finland
FI
|
2.75% |
| 104 |
Georgia
GE
|
2.75% |
| 105 |
Gibraltar
GI
|
2.75% |
| 106 |
Greece
GR
|
2.75% |
| 107 |
Guernsey
GG
|
2.75% |
| 108 |
Hungary
HU
|
2.75% |
| 109 |
Iceland
IS
|
2.75% |
| 110 |
Isle of Man
IM
|
2.75% |
| 111 |
Jersey
JE
|
2.75% |
| 112 |
Kosovo
XK
|
2.75% |
| 113 |
Latvia
LV
|
2.75% |
| 114 |
Liechtenstein
LI
|
2.75% |
| 115 |
Lithuania
LT
|
2.75% |
| 116 |
Luxembourg
LU
|
2.75% |
| 117 |
Malta
MT
|
2.75% |
| 118 |
Moldova
MD
|
2.75% |
| 119 |
Monaco
MC
|
2.75% |
| 120 |
Montenegro
ME
|
2.75% |
| 121 |
Netherlands
NL
|
2.75% |
| 122 |
North Macedonia
MK
|
2.75% |
| 123 |
Poland
PL
|
2.75% |
| 124 |
Portugal
PT
|
2.75% |
| 125 |
Romania
RO
|
2.75% |
| 126 |
Saint Pierre and Miquelon
PM
|
2.75% |
| 127 |
San Marino
SM
|
2.75% |
| 128 |
Serbia
RS
|
2.75% |
| 129 |
Slovakia
SK
|
2.75% |
| 130 |
Slovenia
SI
|
2.75% |
| 131 |
Spain
ES
|
2.75% |
| 132 |
Sweden
SE
|
2.75% |
| 133 |
Switzerland
CH
|
2.75% |
| 134 |
Ukraine
UA
|
2.75% |
| 135 |
Vatican City
VA
|
2.75% |
| 136 |
Antigua and Barbuda
AG
|
2.7% |
| 137 |
Argentina
AR
|
2.7% |
| 138 |
Aruba
AW
|
2.7% |
| 139 |
Barbados
BB
|
2.7% |
| 140 |
Belize
BZ
|
2.7% |
| 141 |
Bolivia
BO
|
2.7% |
| 142 |
Brazil
BR
|
2.7% |
| 143 |
Chile
CL
|
2.7% |
| 144 |
Colombia
CO
|
2.7% |
| 145 |
Costa Rica
CR
|
2.7% |
| 146 |
Cuba
CU
|
2.7% |
| 147 |
Curaçao
CW
|
2.7% |
| 148 |
Dominica
DM
|
2.7% |
| 149 |
Dominican Republic
DO
|
2.7% |
| 150 |
Ecuador
EC
|
2.7% |
| 151 |
El Salvador
SV
|
2.7% |
| 152 |
Falkland Islands
FK
|
2.7% |
| 153 |
French Guiana
GF
|
2.7% |
| 154 |
Grenada
GD
|
2.7% |
| 155 |
Guadeloupe
GP
|
2.7% |
| 156 |
Guatemala
GT
|
2.7% |
| 157 |
Guyana
GY
|
2.7% |
| 158 |
Haiti
HT
|
2.7% |
| 159 |
Honduras
HN
|
2.7% |
| 160 |
Jamaica
JM
|
2.7% |
| 161 |
Malaysia
MY
|
2.7% |
| 162 |
Martinique
MQ
|
2.7% |
| 163 |
Nicaragua
NI
|
2.7% |
| 164 |
Panama
PA
|
2.7% |
| 165 |
Paraguay
PY
|
2.7% |
| 166 |
Peru
PE
|
2.7% |
| 167 |
Saint Barthélemy
BL
|
2.7% |
| 168 |
Saint Kitts and Nevis
KN
|
2.7% |
| 169 |
Saint Lucia
LC
|
2.7% |
| 170 |
Saint Martin
MF
|
2.7% |
| 171 |
Saint Vincent and the Grenadines
VC
|
2.7% |
| 172 |
Sint Maarten
SX
|
2.7% |
| 173 |
Suriname
SR
|
2.7% |
| 174 |
Trinidad and Tobago
TT
|
2.7% |
| 175 |
Uruguay
UY
|
2.7% |
| 176 |
Venezuela
VE
|
2.7% |
| 177 |
Japan
JP
|
2.6% |
| 178 |
South Africa
ZA
|
2.2% |
| 179 |
Afghanistan
AF
|
2.18% |
| 180 |
Azerbaijan
AZ
|
2.18% |
| 181 |
Bahrain
BH
|
2.18% |
| 182 |
Bangladesh
BD
|
2.18% |
| 183 |
Bhutan
BT
|
2.18% |
| 184 |
Brunei
BN
|
2.18% |
| 185 |
Cambodia
KH
|
2.18% |
| 186 |
China
CN
|
2.18% |
| 187 |
Egypt
EG
|
2.18% |
| 188 |
Hong Kong
HK
|
2.18% |
| 189 |
Indonesia
ID
|
2.18% |
| 190 |
Iraq
IQ
|
2.18% |
| 191 |
Israel
IL
|
2.18% |
| 192 |
Kazakhstan
KZ
|
2.18% |
| 193 |
Kuwait
KW
|
2.18% |
| 194 |
Kyrgyzstan
KG
|
2.18% |
| 195 |
Laos
LA
|
2.18% |
| 196 |
Lebanon
LB
|
2.18% |
| 197 |
Macau
MO
|
2.18% |
| 198 |
Maldives
MV
|
2.18% |
| 199 |
Mongolia
MN
|
2.18% |
| 200 |
Myanmar
MM
|
2.18% |
| 201 |
North Korea
KP
|
2.18% |
| 202 |
Oman
OM
|
2.18% |
| 203 |
Pakistan
PK
|
2.18% |
| 204 |
Palestine
PS
|
2.18% |
| 205 |
Philippines
PH
|
2.18% |
| 206 |
Qatar
QA
|
2.18% |
| 207 |
South Korea
KR
|
2.18% |
| 208 |
Sri Lanka
LK
|
2.18% |
| 209 |
Syria
SY
|
2.18% |
| 210 |
Taiwan
TW
|
2.18% |
| 211 |
Tajikistan
TJ
|
2.18% |
| 212 |
Thailand
TH
|
2.18% |
| 213 |
Timor-Leste
TL
|
2.18% |
| 214 |
Turkmenistan
TM
|
2.18% |
| 215 |
United Arab Emirates
AE
|
2.18% |
| 216 |
Uzbekistan
UZ
|
2.18% |
| 217 |
Vietnam
VN
|
2.18% |
| 218 |
Yemen
YE
|
2.18% |
| 219 |
Nigeria
NG
|
2.16% |
| 220 |
Bahamas
BS
|
2.08% |
| 221 |
Bermuda
BM
|
2.08% |
| 222 |
British Virgin Islands
VG
|
2.08% |
| 223 |
Canada
CA
|
2.08% |
| 224 |
Cayman Islands
KY
|
2.08% |
| 225 |
Greenland
GL
|
2.08% |
| 226 |
Puerto Rico
PR
|
2.08% |
| 227 |
Turks and Caicos Islands
TC
|
2.08% |
| 228 |
United States
US
|
2.08% |
| 229 |
US Virgin Islands
VI
|
2.08% |
| 230 |
Libya
LY
|
1.9% |
| 231 |
Cameroon
CM
|
1.7% |
| 232 |
DR Congo
CD
|
1.7% |
| 233 |
Mexico
MX
|
1.25% |
| 234 |
Fiji
FJ
|
0.8% |
Why These Differences Matter
Understanding color blindness distribution has practical implications for education, workplace design, digital accessibility, and public signage. Countries with higher prevalence rates may need to prioritize color-blind friendly designs in traffic systems, educational materials, and digital interfaces.
The variation also provides valuable insights for genetic research. The clustering of high rates in certain regions suggests specific genetic markers that researchers continue to study. Meanwhile, populations with exceptionally low rates, like Mexico and Fiji, offer opportunities to understand protective genetic factors.
The Genetics Behind the Numbers
The X-linked nature of most color blindness types means that while males are more frequently affected, females can be carriers. This genetic pattern remains consistent across populations, though the absolute prevalence varies based on the frequency of the relevant genes within each population's gene pool.
Some populations show evidence of founder effects, where a small ancestral population carrying certain genetic traits expanded over time, leading to higher or lower prevalence rates in their descendants. This may explain some of the clustering patterns observed in regions like Northern Europe and the Pacific Islands.
Global Implications
These statistics highlight the importance of designing for accessibility. With rates ranging from 0.8% to 5.3% worldwide, millions of people experience the world differently due to color vision deficiency. Urban planners, web designers, educators, and manufacturers increasingly recognize the need to accommodate these differences through thoughtful color choices and alternative visual cues.
The data also underscores how genetic diversity manifests across human populations. While color blindness is often considered a minor condition, its global distribution tells a larger story about human genetics, migration patterns, and population history.
Looking Forward
As genetic testing becomes more accessible and data collection improves, our understanding of color blindness distribution will continue to evolve. These statistics represent current estimates based on available research, screening programs, and genetic studies. Future research may reveal additional nuances in how color vision deficiency manifests across different populations and environments.
Whether you're affected by color blindness, designing for accessibility, or simply interested in human genetic diversity, these global statistics offer a fascinating glimpse into how a single trait can vary so significantly across our shared human family.
Frequently Asked Questions
How accurate are these color blindness statistics?
These figures are based on genetic prevalence rates and population studies rather than comprehensive national screening programs. The actual numbers represent genetic predisposition within each population, meaning they estimate how many people carry the genes for color blindness. In reality, not every country conducts widespread color vision testing, and many individuals may be unaware of their condition. The statistics should be understood as scientific estimates based on genetic research, ancestry patterns, and available screening data rather than exact counts. Some countries have more reliable data from mandatory vision screenings (such as military or driver licensing programs), while others rely primarily on genetic modeling.
Why do some neighboring countries have very different rates?
Geographic proximity doesn't necessarily mean genetic similarity. Color blindness rates reflect each population's unique genetic history, including founder effects, genetic drift, and historical isolation. For example, Fiji's 0.8% contrasts sharply with other Pacific islands at 4.37% due to distinct ancestral populations and limited genetic mixing. Similarly, Mexico's 1.25% differs from neighboring Central American countries at 2.7%, possibly due to different indigenous and European admixture ratios. Migration patterns, population bottlenecks, and centuries of relative genetic isolation can create surprising variations between neighboring regions. These differences remind us that political borders rarely align with genetic population boundaries.
Data Disclaimer: Projected data (future years) are estimates based on mathematical models. Actual values may differ. Learn about our methodology →
Sources
-
Updated: 12.10.2025https://iovs.arvojournals.org/article.aspx?articleid=2790714
-
Updated: 12.10.2025https://www.aaojournal.org/article/S0161-6420(25)00465-8/abstract
-
Updated: 12.10.2025https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0313819
-
Updated: 12.10.2025https://pmc.ncbi.nlm.nih.gov/articles/PMC12385717/
Please log in to leave a comment.
Log in
(0) Comments