Mean Male Height (cm) 1938
Discover mean male height data across 266+ countries. Compare rankings and explore historical trends with interactive maps.
Interactive Map
Complete Data Rankings
Rank | ||
|---|---|---|
1 | Iceland | 178.764 |
2 | Netherlands | 177.178 |
3 | Norway | 177.033 |
4 | Sweden | 176.757 |
5 | United States | 176.208 |
6 | Denmark | 175.96 |
7 | Estonia | 175.455 |
8 | Bosnia and Herzegovina | 174.892 |
9 | Finland | 174.552 |
10 | Australia | 174.354 |
11 | Canada | 174.307 |
12 | Austria | 174.235 |
13 | Germany | 174.154 |
14 | Slovakia | 174.001 |
15 | New Zealand | 173.924 |
16 | United Kingdom | 173.819 |
17 | Czech Republic | 173.8 |
18 | Croatia | 173.796 |
19 | Luxembourg | 173.734 |
20 | Tonga | 173.71 |
21 | Latvia | 173.513 |
22 | Serbia | 173.389 |
23 | Lithuania | 173.177 |
24 | Switzerland | 173.154 |
25 | Slovenia | 173.052 |
26 | Ireland | 172.942 |
27 | Belgium | 172.44 |
28 | North Macedonia | 172.412 |
29 | Bulgaria | 172.369 |
30 | Montenegro | 172.368 |
31 | Belarus | 172.17 |
32 | Ukraine | 172.159 |
33 | French Polynesia | 172.072 |
34 | Hungary | 172.055 |
35 | France | 172.042 |
36 | Cook Islands | 172.012 |
37 | Barbados | 171.893 |
38 | Georgia | 171.781 |
39 | Grenada | 171.758 |
40 | Dominica | 171.619 |
41 | Fiji | 171.515 |
42 | American Samoa | 171.474 |
43 | Senegal | 171.269 |
44 | Trinidad and Tobago | 171.09 |
45 | Niue | 170.993 |
46 | Russia | 170.753 |
47 | Poland | 170.653 |
48 | Jamaica | 170.54 |
49 | Kenya | 170.352 |
50 | Tokelau | 170.231 |
51 | Romania | 170.052 |
52 | Uruguay | 169.917 |
53 | Seychelles | 169.835 |
54 | Samoa | 169.804 |
55 | Israel | 169.712 |
56 | Saint Lucia | 169.693 |
57 | Botswana | 169.684 |
58 | Azerbaijan | 169.64 |
59 | Mali | 169.615 |
60 | Chad | 169.595 |
61 | Greece | 169.569 |
62 | Italy | 169.552 |
63 | Algeria | 169.358 |
64 | Albania | 169.35 |
65 | Argentina | 169.112 |
66 | Niger | 169.038 |
67 | Libya | 169.01 |
68 | Saint Vincent and the Grenadines | 168.99 |
69 | Suriname | 168.99 |
70 | Cabo Verde | 168.971 |
71 | Bahamas | 168.97 |
72 | Andorra | 168.959 |
73 | Bermuda | 168.949 |
74 | Antigua and Barbuda | 168.945 |
75 | Haiti | 168.905 |
76 | Armenia | 168.822 |
77 | Republic of Moldova | 168.8 |
78 | Turkmenistan | 168.79 |
79 | Zimbabwe | 168.702 |
80 | Tunisia | 168.621 |
81 | Uzbekistan | 168.619 |
82 | Lebanon | 168.541 |
83 | State of Palestine | 168.537 |
84 | Puerto Rico | 168.509 |
85 | Namibia | 168.446 |
86 | Cameroon | 168.406 |
87 | Tajikistan | 168.38 |
88 | Turkey | 168.345 |
89 | Cyprus | 168.315 |
90 | Kazakhstan | 168.305 |
91 | Kuwait | 168.165 |
92 | Guinea | 168.155 |
93 | Eritrea | 168.066 |
94 | Saint Kitts and Nevis | 167.933 |
95 | Burkina Faso | 167.893 |
96 | Uganda | 167.873 |
97 | Paraguay | 167.865 |
98 | Spain | 167.791 |
99 | Benin | 167.7 |
100 | Cuba | 167.693 |
101 | Brazil | 167.649 |
102 | Tuvalu | 167.628 |
103 | South Africa | 167.608 |
104 | Kiribati | 167.542 |
105 | Zambia | 167.438 |
106 | Guinea-Bissau | 167.438 |
107 | Gabon | 167.41 |
108 | Jordan | 167.39 |
109 | Cรดte d'Ivoire | 167.355 |
110 | Qatar | 167.207 |
111 | Egypt | 167.195 |
112 | Guyana | 167.127 |
113 | Congo | 167.062 |
114 | Togo | 167.04 |
115 | United Arab Emirates | 167.027 |
116 | Iraq | 167.013 |
117 | Syrian Arab Republic | 167.011 |
118 | Micronesia (Fed. States of) | 166.987 |
119 | Morocco | 166.944 |
120 | Mauritania | 166.91 |
121 | Dominican Republic | 166.895 |
122 | Eswatini | 166.88 |
123 | Equatorial Guinea | 166.855 |
124 | Angola | 166.846 |
125 | Sao Tome and Principe | 166.842 |
126 | Kyrgyzstan | 166.772 |
127 | Iran | 166.744 |
128 | Congo, Democratic Republic of the | 166.732 |
129 | Pakistan | 166.716 |
130 | Venezuela | 166.533 |
131 | Nauru | 166.522 |
132 | Palau | 166.494 |
133 | Ghana | 166.412 |
134 | Burundi | 166.397 |
135 | Ethiopia | 166.376 |
136 | Djibouti | 166.355 |
137 | Sudan | 166.339 |
138 | Somalia | 166.307 |
139 | Chile | 166.245 |
140 | China | 166.225 |
141 | Costa Rica | 166.137 |
142 | South Korea | 166.134 |
143 | Tanzania | 166.015 |
144 | Central African Republic | 166.005 |
145 | Singapore | 165.948 |
146 | Malta | 165.868 |
147 | Honduras | 165.837 |
148 | Taiwan | 165.803 |
149 | Vanuatu | 165.795 |
150 | El Salvador | 165.774 |
151 | Portugal | 165.582 |
152 | Saudi Arabia | 165.516 |
153 | Belize | 165.507 |
154 | Rwanda | 165.501 |
155 | Nigeria | 165.486 |
156 | Marshall Islands | 165.204 |
157 | Sierra Leone | 165.191 |
158 | North Korea | 165.169 |
159 | Gambia | 165.155 |
160 | Mauritius | 165.018 |
161 | Mongolia | 164.939 |
162 | Nicaragua | 164.895 |
163 | Greenland | 164.862 |
164 | Lesotho | 164.782 |
165 | Japan | 164.691 |
166 | Bahrain | 164.675 |
167 | Panama | 164.573 |
168 | Colombia | 164.418 |
169 | China, Hong Kong SAR | 164.28 |
170 | Malawi | 164.201 |
171 | Mexico | 164.15 |
172 | Solomon Islands | 164.111 |
173 | Madagascar | 163.99 |
174 | Mozambique | 163.851 |
175 | Comoros | 163.812 |
176 | Afghanistan | 163.305 |
177 | Malaysia | 163.093 |
178 | India | 162.917 |
179 | Oman | 162.895 |
180 | Yemen | 162.645 |
181 | Thailand | 162.466 |
182 | Bhutan | 162.429 |
183 | Liberia | 162.426 |
184 | Bolivia | 162.287 |
185 | Bangladesh | 162.131 |
186 | Myanmar | 161.992 |
187 | Sri Lanka | 161.845 |
188 | Ecuador | 161.384 |
189 | Guatemala | 161.377 |
190 | Papua New Guinea | 161.288 |
191 | Peru | 160.854 |
192 | Brunei Darussalam | 160.688 |
193 | Vietnam | 160.532 |
194 | Cambodia | 159.837 |
195 | Philippines | 159.756 |
196 | Maldives | 159.731 |
197 | Nepal | 159.689 |
198 | Indonesia | 159.312 |
199 | Timor-Leste | 158.694 |
200 | Laos | 157.945 |
- #1
Iceland
- #2
Netherlands
- #3
Norway
- #4
Sweden
- #5
United States
- #6
Denmark
- #7
Estonia
- #8
Bosnia and Herzegovina
- #9
Finland
- #10
Australia
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #200
Laos
- #199
Timor-Leste
- #198
Indonesia
- #197
Nepal
- #196
Maldives
- #195
Philippines
- #194
Cambodia
- #193
Vietnam
- #192
Brunei Darussalam
- #191
Peru
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
Global Overview of Mean Male Height in 1938
The country with the highest mean male height in 1938 was Iceland at 178.76 cm, while the global range of mean male heights spanned from 157.94 cm in Laos to 178.76 cm. The average male height across the 200 countries with available data was 167.93 cm, and the median stood at 167.69 cm. This data provides a snapshot of global health, nutrition, and socio-economic conditions during this period, reflecting both geographical and cultural factors influencing physical development.
Geographic and Economic Influences on Height
The disparities in mean male height across countries can often be traced back to geographical and economic factors. For instance, the top-ranking countries like Iceland and the Netherlands benefit from robust economies and high standards of living, which contribute to better nutrition and healthcare. The Netherlands recorded a mean height of 177.18 cm, indicative of its advanced agricultural practices and social welfare systems that ensure a healthy population.
In contrast, countries at the lower end of the spectrum, such as Laos with a mean height of 157.94 cm and Timor-Leste at 158.69 cm, often face economic challenges, including poverty and limited access to healthcare. These conditions adversely affect nutrition during critical growth periods, leading to shorter stature in populations. The relationship between economic development and mean height is evident, as more affluent nations typically exhibit higher average heights.
Demographic Factors and Height Variations
Demographic factors, including urbanization and migration patterns, also play a significant role in influencing mean male height. Urban areas tend to provide better access to resources, healthcare, and nutrition compared to rural settings. For example, Norway and Sweden, with mean heights of 177.03 cm and 176.76 cm respectively, benefit from urbanization that supports health and nutrition initiatives.
Conversely, in countries like Nepal with a mean height of 159.69 cm and Indonesia at 159.31 cm, rural populations may lack access to the same level of healthcare and nutrition, which can hinder growth. The demographic composition of a country, including factors such as ethnicity and socio-economic status, can also influence average heights, as different groups may have varying access to resources that promote physical growth.
Year-over-Year Changes and Notable Trends
In 1938, the average change in mean male height across countries was a modest 0.13 cm (0.1%). Notably, Japan experienced the largest increase at 0.27 cm (0.2%), which can be attributed to post-war recovery efforts and improvements in nutrition and healthcare. Similarly, Greece saw an increase of 0.22 cm (0.1%), reflecting improvements in living standards after a tumultuous period in its history.
On the other hand, some nations exhibited stagnation or slight decreases in height, such as Samoa, Bhutan, and Tuvalu, each with a decrease of 0.04 cm (0.0%). These trends may indicate challenges in health infrastructure or economic difficulties that impede growth. The year-over-year changes highlight the dynamic nature of mean male height as a reflection of socio-economic conditions and health policies across the globe.
Conclusion: The Significance of Height Data
The mean male height data from 1938 serves as a crucial indicator of health and well-being across different nations. The stark contrasts between the tallest and shortest populations underscore the importance of socio-economic factors, nutrition, and healthcare access in shaping physical development. By understanding these trends, policymakers can better address health disparities and implement strategies to improve the overall well-being of their populations.
Data Source
Our World in Data
Our World in Data is a collaborative effort between researchers at the University of Oxford, who are the scientific editors of the website content; and the UK-based nonprofit organization Global Change Data Lab (GCDL), which publishes and maintains the website and the data tools that make our work possible.
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