Mean Male Height (cm) 1979
Discover mean male height data across 266+ countries. Compare rankings and explore historical trends with interactive maps.
Interactive Map
Complete Data Rankings
Rank | ||
|---|---|---|
1 | Netherlands | 182.538 |
2 | Iceland | 181.27 |
3 | Bosnia and Herzegovina | 181.1 |
4 | Denmark | 180.971 |
5 | Estonia | 180.779 |
6 | Serbia | 180.63 |
7 | Latvia | 180.273 |
8 | Norway | 180.034 |
9 | Sweden | 180.022 |
10 | Czech Republic | 179.961 |
11 | Finland | 179.759 |
12 | Belgium | 179.75 |
13 | Croatia | 179.619 |
14 | Germany | 179.448 |
15 | Slovakia | 179.392 |
16 | Slovenia | 179.262 |
17 | Australia | 178.846 |
18 | Lithuania | 178.758 |
19 | France | 178.391 |
20 | North Macedonia | 178.202 |
21 | Montenegro | 178.162 |
22 | Bulgaria | 178.114 |
23 | Ireland | 178.056 |
24 | Luxembourg | 178.052 |
25 | Ukraine | 177.903 |
26 | Belarus | 177.891 |
27 | New Zealand | 177.871 |
28 | Austria | 177.85 |
29 | Tonga | 177.637 |
30 | United Kingdom | 177.578 |
31 | United States | 177.539 |
32 | Switzerland | 177.538 |
33 | Canada | 177.354 |
34 | Greece | 177.253 |
35 | Hungary | 177.128 |
36 | Poland | 176.975 |
37 | Italy | 176.793 |
38 | French Polynesia | 176.559 |
39 | Russia | 176.441 |
40 | Israel | 176.272 |
41 | Grenada | 176.249 |
42 | American Samoa | 175.924 |
43 | Barbados | 175.773 |
44 | Spain | 175.557 |
45 | Dominica | 175.541 |
46 | Niue | 175.538 |
47 | Andorra | 175.419 |
48 | Senegal | 175.394 |
49 | Cook Islands | 175.384 |
50 | Romania | 175.309 |
51 | Georgia | 175.281 |
52 | Lebanon | 174.977 |
53 | Tokelau | 174.948 |
54 | Seychelles | 174.765 |
55 | Fiji | 174.758 |
56 | Jamaica | 174.69 |
57 | Republic of Moldova | 174.668 |
58 | Cyprus | 174.537 |
59 | Cabo Verde | 174.445 |
60 | Libya | 174.202 |
61 | Albania | 174.114 |
62 | Samoa | 173.867 |
63 | Trinidad and Tobago | 173.768 |
64 | South Korea | 173.718 |
65 | Argentina | 173.677 |
66 | Turkey | 173.574 |
67 | Tunisia | 173.452 |
68 | Greenland | 173.349 |
69 | Uruguay | 173.311 |
70 | Mali | 173.276 |
71 | Botswana | 173.082 |
72 | State of Palestine | 173.007 |
73 | Chad | 172.914 |
74 | Iran | 172.91 |
75 | Turkmenistan | 172.663 |
76 | Kuwait | 172.631 |
77 | Armenia | 172.571 |
78 | Saint Vincent and the Grenadines | 172.53 |
79 | Bahamas | 172.51 |
80 | Suriname | 172.49 |
81 | Antigua and Barbuda | 172.476 |
82 | Bermuda | 172.466 |
83 | Portugal | 172.45 |
84 | Haiti | 172.398 |
85 | Saint Lucia | 172.349 |
86 | Malta | 172.302 |
87 | Jordan | 172.245 |
88 | Singapore | 172.202 |
89 | Algeria | 172.196 |
90 | Paraguay | 172.064 |
91 | Tajikistan | 171.975 |
92 | Puerto Rico | 171.966 |
93 | Brazil | 171.948 |
94 | Kenya | 171.919 |
95 | Kazakhstan | 171.878 |
96 | Azerbaijan | 171.796 |
97 | Taiwan | 171.731 |
98 | Dominican Republic | 171.475 |
99 | Japan | 171.461 |
100 | Burkina Faso | 171.411 |
101 | Syrian Arab Republic | 171.406 |
102 | United Arab Emirates | 171.406 |
103 | Iraq | 171.4 |
104 | Morocco | 171.359 |
105 | Qatar | 171.35 |
106 | Cuba | 171.339 |
107 | Kyrgyzstan | 171.291 |
108 | Zimbabwe | 171.164 |
109 | China, Hong Kong SAR | 171.125 |
110 | Niger | 171.051 |
111 | Venezuela | 170.993 |
112 | Cameroon | 170.992 |
113 | Chile | 170.941 |
114 | Uzbekistan | 170.69 |
115 | Gabon | 170.646 |
116 | Mauritius | 170.588 |
117 | Ghana | 170.517 |
118 | Sao Tome and Principe | 170.509 |
119 | Guinea-Bissau | 170.466 |
120 | Guinea | 170.446 |
121 | Togo | 170.405 |
122 | Eswatini | 170.379 |
123 | Benin | 170.309 |
124 | Tuvalu | 170.219 |
125 | Congo | 170.168 |
126 | Egypt | 170.166 |
127 | Saint Kitts and Nevis | 170.151 |
128 | Guyana | 170.065 |
129 | North Korea | 170.046 |
130 | Namibia | 169.999 |
131 | Kiribati | 169.974 |
132 | Equatorial Guinea | 169.826 |
133 | Angola | 169.794 |
134 | Eritrea | 169.783 |
135 | China | 169.672 |
136 | Cรดte d'Ivoire | 169.661 |
137 | Congo, Democratic Republic of the | 169.474 |
138 | Micronesia (Fed. States of) | 169.392 |
139 | Oman | 169.352 |
140 | Central African Republic | 169.183 |
141 | South Africa | 169.161 |
142 | El Salvador | 169.138 |
143 | Costa Rica | 169.114 |
144 | Zambia | 169.095 |
145 | Mongolia | 168.974 |
146 | Colombia | 168.961 |
147 | Saudi Arabia | 168.899 |
148 | Bahrain | 168.88 |
149 | Vanuatu | 168.829 |
150 | Nauru | 168.721 |
151 | Belize | 168.686 |
152 | Burundi | 168.652 |
153 | Sudan | 168.625 |
154 | Panama | 168.623 |
155 | Ethiopia | 168.621 |
156 | Somalia | 168.601 |
157 | Djibouti | 168.601 |
158 | Uganda | 168.587 |
159 | Palau | 168.424 |
160 | Nigeria | 168.312 |
161 | Gambia | 168.005 |
162 | Lesotho | 167.996 |
163 | Mauritania | 167.852 |
164 | Mexico | 167.815 |
165 | Pakistan | 167.452 |
166 | Sierra Leone | 167.239 |
167 | Tanzania | 167.222 |
168 | Malaysia | 167.196 |
169 | Honduras | 167.117 |
170 | Comoros | 167.102 |
171 | Nicaragua | 167.018 |
172 | Solomon Islands | 166.912 |
173 | Thailand | 166.689 |
174 | Mozambique | 166.639 |
175 | Bolivia | 166.489 |
176 | Rwanda | 166.26 |
177 | Ecuador | 166.26 |
178 | Liberia | 165.829 |
179 | Afghanistan | 165.371 |
180 | Maldives | 165.208 |
181 | Peru | 165.135 |
182 | Marshall Islands | 165.088 |
183 | India | 165.083 |
184 | Malawi | 164.936 |
185 | Sri Lanka | 164.816 |
186 | Madagascar | 164.603 |
187 | Papua New Guinea | 164.508 |
188 | Myanmar | 164.354 |
189 | Bhutan | 164.304 |
190 | Brunei Darussalam | 164.178 |
191 | Bangladesh | 164.093 |
192 | Guatemala | 163.755 |
193 | Yemen | 163.681 |
194 | Vietnam | 163.286 |
195 | Indonesia | 163.039 |
196 | Cambodia | 162.795 |
197 | Philippines | 162.723 |
198 | Nepal | 162.513 |
199 | Timor-Leste | 160.946 |
200 | Laos | 160.413 |
- #1
Netherlands
- #2
Iceland
- #3
Bosnia and Herzegovina
- #4
Denmark
- #5
Estonia
- #6
Serbia
- #7
Latvia
- #8
Norway
- #9
Sweden
- #10
Czech Republic
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #200
Laos
- #199
Timor-Leste
- #198
Nepal
- #197
Philippines
- #196
Cambodia
- #195
Indonesia
- #194
Vietnam
- #193
Yemen
- #192
Guatemala
- #191
Bangladesh
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
The country with the highest mean male height in 1979 was the Netherlands, measuring an impressive 182.54 cm. In stark contrast, the global range for mean male height varied significantly, with a minimum recorded height of 160.41 cm and an average height of 171.80 cm across 200 countries. This data reveals not only the disparities in height but also the underlying factors that contribute to these differences globally.
Geographic and Economic Influences on Height
The mean male height in a country is often influenced by a combination of geographic, nutritional, and economic factors. For instance, the Netherlands has been consistently ranked among the tallest nations, a phenomenon attributed to its robust welfare system, high standards of living, and excellent nutrition. The average male height in the Netherlands reached 182.54 cm, indicative of a population benefiting from a balanced diet rich in dairy and protein.
Conversely, countries with lower mean heights often face economic challenges that impact nutrition and healthcare. For example, Laos recorded the lowest mean male height at 160.41 cm. Economic constraints in Laos likely restrict access to sufficient nutrition, contributing to lower average heights. Similarly, Timor-Leste and Nepal, with heights of 160.95 cm and 162.51 cm respectively, illustrate the impact of regional economic conditions on growth and development.
Demographic Trends and Health Outcomes
Demographic factors, including population health and urbanization, also play a critical role in determining mean male height. Countries with higher urbanization rates tend to have better access to healthcare services and nutritional resources. For instance, Iceland and Denmark, with mean heights of 181.27 cm and 180.97 cm respectively, benefit from advanced healthcare systems and high living standards, promoting better growth outcomes.
In contrast, lower mean heights observed in countries like Bangladesh at 164.09 cm can be linked to health issues exacerbated by poverty and inadequate health services. The correlation between urbanization and health outcomes is evident in the stark differences between nations: while Scandinavian countries thrive, many Southeast Asian nations struggle with health disparities that affect height.
Year-Over-Year Changes: Movers and Shakers
In analyzing the year-over-year changes in mean male height for 1979, several countries exhibited notable increases. Taiwan saw the largest gain of 0.18 cm, reaching a height that reflects improving living conditions and health standards. Similarly, China, Hong Kong SAR and Maldives experienced increases of 0.17 cm and 0.14 cm respectively, suggesting that economic growth in these regions has begun to positively impact physical development.
On the other hand, some countries faced decreases in mean male height. Mauritania experienced a decline of 0.16 cm, reflecting potential health crises or nutritional setbacks. Yemen and Egypt, both showing decreases of 0.15 cm and 0.11 cm respectively, highlight how political instability and conflict can adversely affect public health and nutrition, ultimately impacting physical growth.
Significance of Height Data in Social Context
Understanding mean male height data is significant not only for public health but also for socioeconomic planning. Countries with taller average heights often correlate with better economic performance and higher productivity levels. For instance, the top ten countries with the highest mean male heights, including Sweden at 180.02 cm and Czech Republic at 179.96 cm, typically enjoy robust economies and high standards of living.
This data underscores the importance of addressing health and nutrition disparities in countries with lower mean heights. By improving access to healthcare and nutrition, nations can enhance the overall well-being of their populations, potentially leading to increased economic productivity and development. The analysis of mean male height in 1979 serves as a crucial indicator of broader social and economic trends, illustrating how intertwined health outcomes are with the prosperity of nations.
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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