Old-Age Dependency Ratio 2018
Old-age dependency ratio compares the number of elderly dependents to working-age people, affecting economic sustainability.
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Complete Data Rankings
Rank | Actions | ||
|---|---|---|---|
1 | Holy See | 98.092 % | |
2 | Monaco | 68.387 % | |
3 | Japan | 47.792 % | |
4 | Saint Helena | 37.16 % | |
5 | Italy | 35.614 % | |
6 | Finland | 34.663 % | |
7 | Greece | 34.311 % | |
8 | Portugal | 34.051 % | |
9 | Isle of Man | 33.709 % | |
10 | Germany | 32.988 % | |
11 | Martinique | 32.897 % | |
12 | Bulgaria | 32.805 % | |
13 | Puerto Rico | 32.409 % | |
14 | France | 32.189 % | |
15 | Croatia | 31.904 % | |
16 | Sweden | 31.811 % | |
17 | Latvia | 31.564 % | |
18 | United States Virgin Islands | 31.481 % | |
19 | Serbia | 31.377 % | |
20 | Estonia | 30.747 % | |
21 | Guernsey | 30.44 % | |
22 | Denmark | 30.341 % | |
23 | Lithuania | 30.241 % | |
24 | Czech Republic | 30.186 % | |
25 | Slovenia | 29.718 % | |
26 | Belgium | 29.257 % | |
27 | Spain | 29.003 % | |
28 | San Marino | 28.977 % | |
29 | Guadeloupe | 28.854 % | |
30 | Hungary | 28.833 % | |
31 | Netherlands | 28.719 % | |
32 | United Kingdom | 28.631 % | |
33 | Bosnia and Herzegovina | 28.22 % | |
34 | Faroe Islands | 28.214 % | |
35 | Austria | 28.068 % | |
36 | Malta | 27.744 % | |
37 | Romania | 27.728 % | |
38 | Switzerland | 27.573 % | |
39 | Gibraltar | 27.195 % | |
40 | Liechtenstein | 26.478 % | |
41 | Bermuda | 26.153 % | |
42 | Norway | 26.146 % | |
43 | Saint Pierre and Miquelon | 25.895 % | |
44 | Jersey | 25.782 % | |
45 | Canada | 25.612 % | |
46 | Poland | 25.12 % | |
47 | Montserrat | 24.5 % | |
48 | China, Hong Kong SAR | 24.059 % | |
49 | Ukraine | 23.944 % | |
50 | Montenegro | 23.843 % | |
51 | Australia | 23.821 % | |
52 | United States | 23.169 % | |
53 | Uruguay | 23.095 % | |
54 | Slovakia | 22.926 % | |
55 | New Zealand | 22.924 % | |
56 | Niue | 22.505 % | |
57 | Georgia | 22.348 % | |
58 | North Macedonia | 22.325 % | |
59 | Belarus | 22.103 % | |
60 | Cuba | 21.845 % | |
61 | Russia | 21.576 % | |
62 | Ireland | 21.339 % | |
63 | Iceland | 21.154 % | |
64 | Curaçao | 20.789 % | |
65 | Luxembourg | 20.666 % | |
66 | Barbados | 20.507 % | |
67 | Albania | 20.122 % | |
68 | South Korea | 19.831 % | |
69 | Republic of Moldova | 19.794 % | |
70 | Taiwan | 19.734 % | |
71 | Aruba | 19.587 % | |
72 | Israel | 19.437 % | |
73 | Andorra | 18.607 % | |
74 | Wallis and Futuna Islands | 18.584 % | |
75 | Cyprus | 18.559 % | |
76 | Réunion | 18.354 % | |
77 | Bonaire, Sint Eustatius and Saba | 18.061 % | |
78 | Argentina | 17.845 % | |
79 | Chile | 17.479 % | |
80 | Armenia | 17.262 % | |
81 | Dominica | 17.169 % | |
82 | Thailand | 16.516 % | |
83 | Cook Islands | 16.454 % | |
84 | China | 16.412 % | |
85 | Saint Martin (French part) | 15.585 % | |
86 | Grenada | 15.507 % | |
87 | North Korea | 15.5 % | |
88 | Bahamas | 15.4 % | |
89 | Guam | 15.319 % | |
90 | Saint Vincent and the Grenadines | 15.272 % | |
91 | Falkland Islands (Malvinas) | 15.216 % | |
92 | Sri Lanka | 15.201 % | |
93 | Tokelau | 14.786 % | |
94 | Mauritius | 14.389 % | |
95 | New Caledonia | 14.373 % | |
96 | Saint Barthélemy | 14.185 % | |
97 | Costa Rica | 14.144 % | |
98 | Sint Maarten (Dutch part) | 13.716 % | |
99 | Singapore | 13.565 % | |
100 | China, Macao SAR | 13.135 % | |
101 | Trinidad and Tobago | 13.048 % | |
102 | Peru | 13.038 % | |
103 | Lebanon | 12.971 % | |
104 | Turks and Caicos Islands | 12.934 % | |
105 | Antigua and Barbuda | 12.835 % | |
106 | Brazil | 12.8 % | |
107 | Anguilla | 12.505 % | |
108 | Palau | 12.168 % | |
109 | Panama | 12.018 % | |
110 | French Polynesia | 12.012 % | |
111 | Turkey | 11.888 % | |
112 | Saint Kitts and Nevis | 11.875 % | |
113 | Greenland | 11.848 % | |
114 | Saint Lucia | 11.595 % | |
115 | El Salvador | 11.455 % | |
116 | Kazakhstan | 11.427 % | |
117 | Venezuela | 11.425 % | |
118 | Colombia | 11.397 % | |
119 | Tunisia | 11.331 % | |
120 | Ecuador | 10.996 % | |
121 | Mexico | 10.8 % | |
122 | Tonga | 10.672 % | |
123 | British Virgin Islands | 10.594 % | |
124 | Vietnam | 10.194 % | |
125 | Seychelles | 10.058 % | |
126 | Suriname | 9.993 % | |
127 | Morocco | 9.769 % | |
128 | Iran | 9.751 % | |
129 | Dominican Republic | 9.689 % | |
130 | Timor-Leste | 9.688 % | |
131 | Nepal | 9.525 % | |
132 | Jamaica | 9.478 % | |
133 | Indonesia | 9.434 % | |
134 | American Samoa | 9.236 % | |
135 | Paraguay | 9.132 % | |
136 | French Guiana | 9.12 % | |
137 | Azerbaijan | 9.115 % | |
138 | Malaysia | 9.093 % | |
139 | Cayman Islands | 9.043 % | |
140 | India | 9.028 % | |
141 | Bolivia | 9.018 % | |
142 | Myanmar | 8.982 % | |
143 | Samoa | 8.934 % | |
144 | Tuvalu | 8.828 % | |
145 | Algeria | 8.77 % | |
146 | Guyana | 8.765 % | |
147 | South Africa | 8.696 % | |
148 | Fiji | 8.629 % | |
149 | Cabo Verde | 8.545 % | |
150 | Bhutan | 8.485 % | |
151 | Bangladesh | 8.423 % | |
152 | Kyrgyzstan | 8.24 % | |
153 | Cambodia | 8.034 % | |
154 | Nicaragua | 7.842 % | |
155 | Comoros | 7.823 % | |
156 | Syrian Arab Republic | 7.755 % | |
157 | Northern Mariana Islands | 7.75 % | |
158 | Uzbekistan | 7.687 % | |
159 | Eritrea | 7.408 % | |
160 | Western Sahara | 7.332 % | |
161 | Micronesia (Fed. States of) | 7.285 % | |
162 | Egypt | 7.266 % | |
163 | Guatemala | 7.199 % | |
164 | Libya | 7.077 % | |
165 | Vanuatu | 6.896 % | |
166 | Haiti | 6.886 % | |
167 | Brunei Darussalam | 6.846 % | |
168 | Djibouti | 6.828 % | |
169 | Pakistan | 6.808 % | |
170 | Sao Tome and Principe | 6.776 % | |
171 | Philippines | 6.751 % | |
172 | Gabon | 6.725 % | |
173 | Belize | 6.494 % | |
174 | Solomon Islands | 6.49 % | |
175 | Laos | 6.478 % | |
176 | Togo | 6.476 % | |
177 | Zimbabwe | 6.461 % | |
178 | Guinea | 6.431 % | |
179 | Mauritania | 6.346 % | |
180 | Senegal | 6.344 % | |
181 | Lesotho | 6.308 % | |
182 | Kiribati | 6.302 % | |
183 | Mongolia | 6.292 % | |
184 | Congo, Democratic Republic of the | 6.067 % | |
185 | Eswatini | 6.067 % | |
186 | Botswana | 6.044 % | |
187 | State of Palestine | 6.021 % | |
188 | Honduras | 5.975 % | |
189 | Namibia | 5.97 % | |
190 | Liberia | 5.829 % | |
191 | Jordan | 5.824 % | |
192 | Ghana | 5.8 % | |
193 | Equatorial Guinea | 5.799 % | |
194 | Rwanda | 5.733 % | |
195 | Iraq | 5.629 % | |
196 | Benin | 5.617 % | |
197 | Tanzania | 5.598 % | |
198 | Marshall Islands | 5.596 % | |
199 | Turkmenistan | 5.578 % | |
200 | Sierra Leone | 5.563 % | |
201 | Nigeria | 5.549 % | |
202 | Ethiopia | 5.396 % | |
203 | Mozambique | 5.39 % | |
204 | Madagascar | 5.385 % | |
205 | Malawi | 5.329 % | |
206 | Guinea-Bissau | 5.262 % | |
207 | Maldives | 5.172 % | |
208 | Angola | 5.167 % | |
209 | Sudan | 5.155 % | |
210 | Cameroon | 5.138 % | |
211 | Mali | 5.13 % | |
212 | Tajikistan | 5.115 % | |
213 | Niger | 5.093 % | |
214 | Mayotte | 4.963 % | |
215 | Somalia | 4.953 % | |
216 | Gambia | 4.895 % | |
217 | Congo | 4.89 % | |
218 | South Sudan | 4.876 % | |
219 | Burkina Faso | 4.858 % | |
220 | Papua New Guinea | 4.847 % | |
221 | Burundi | 4.733 % | |
222 | Yemen | 4.64 % | |
223 | Kenya | 4.637 % | |
224 | Côte d'Ivoire | 4.498 % | |
225 | Afghanistan | 4.494 % | |
226 | Central African Republic | 4.431 % | |
227 | Kuwait | 4.285 % | |
228 | Chad | 4.117 % | |
229 | Uganda | 3.886 % | |
230 | Bahrain | 3.58 % | |
231 | Oman | 3.464 % | |
232 | Saudi Arabia | 3.307 % | |
233 | Nauru | 3.281 % | |
234 | Zambia | 3.267 % | |
235 | United Arab Emirates | 1.835 % | |
236 | Qatar | 1.347 % |
Analysis: These countries represent the highest values in this dataset, showcasing significant scale and impact on global statistics.
- #236
Qatar
- #235
United Arab Emirates
- #234
Zambia
- #233
Nauru
- #232
Saudi Arabia
- #231
Oman
- #230
Bahrain
- #229
Uganda
- #228
Chad
- #227
Kuwait
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2018, the Old-Age Dependency Ratio was highest in the Holy See at 98.09%, while globally, it ranged from a minimum of 5.56% to a maximum of 98.09%. The global context is provided by the average Old-Age Dependency Ratio of 16.87% and a median value of 13.13%. This metric is crucial for understanding economic sustainability challenges as populations age.
Economic and Demographic Drivers
The Old-Age Dependency Ratio reflects the proportion of elderly dependents compared to the working-age population, impacting economic sustainability. In countries like Japan with a ratio of 47.79% and Italy at 35.61%, the high ratios are driven by low birth rates and high life expectancy. These countries face significant economic challenges, as a shrinking workforce must support a growing number of retirees.
Conversely, nations like Sierra Leone with a ratio of 5.56% and Turkmenistan at 5.58% have younger populations with higher birth rates and lower life expectancy, resulting in lower dependency ratios. These demographic profiles suggest different economic pressures, often linked to growth and development initiatives rather than pension and healthcare burdens.
Regional Patterns and Policy Implications
European countries generally exhibit higher Old-Age Dependency Ratios, with Finland at 34.66% and Germany at 32.99%. This trend is partly due to comprehensive healthcare systems and social policies that have extended life expectancy but also require robust pension frameworks to sustain an aging population.
In contrast, many African and Middle Eastern countries, such as Ghana with a ratio of 5.80% and Jordan at 5.82%, maintain lower ratios. These regions often focus on economic growth and infrastructure development, with policies less centered on aging populations at present.
Year-over-Year Trends and Market Impacts
The average Old-Age Dependency Ratio increased by 0.41 (or 2.6%) from the previous year, indicating a global trend towards aging populations. Saint Martin (French part) experienced the most significant jump, with an increase of 3.36 (or 27.5%), driven by demographic shifts and potentially improved healthcare outcomes.
Notably, the Holy See saw the most pronounced decrease, dropping by 3.05 (or -3.0%). This reduction could be attributed to specific demographic or policy changes unique to the region. Other decreases, such as in Curaçao (down by 1.29 or -5.8%), highlight how even small shifts in population dynamics can significantly affect dependency ratios.
Implications for Future Policy and Economic Planning
The varying Old-Age Dependency Ratios across countries underscore the importance of tailored policy responses. High-ratio countries like Monaco at 68.39% need robust pension systems and healthcare infrastructure to support their aging populations. Conversely, countries with lower ratios can focus on economic expansion and workforce development.
As the global population ages, understanding and planning for changes in the Old-Age Dependency Ratio will be crucial for economic sustainability and social stability. Policymakers must balance the needs of an aging population with the economic realities of a shrinking workforce, making this metric a critical indicator for future planning.
Frequently Asked Questions About Old-Age Dependency Ratio in 2018
Which country had the highest old-age dependency ratio in 2018?
The Holy See had the highest old-age dependency ratio in 2018, with a value of 98.09%.
Which country had the lowest old-age dependency ratio in 2018?
Qatar had the lowest old-age dependency ratio in 2018, with a value of 1.35%.
What was the average old-age dependency ratio across all countries in 2018?
The average old-age dependency ratio across all countries in 2018 was 14.98%.
What was the median old-age dependency ratio in 2018?
The median old-age dependency ratio in 2018 was 11.36%.
Which countries were in the top 3 for old-age dependency ratio in 2018?
The top 3 countries for old-age dependency ratio in 2018 were Holy See at 98.09%, Monaco at 68.39%, and Japan at 47.79%.
What is the range of old-age dependency ratios among countries in 2018?
In 2018, the range of old-age dependency ratios spanned from 1.35% in Qatar to 98.09% in the Holy See.
Insights by country
Cook Islands
In 2018, Cook Islands had an Old-Age Dependency Ratio of 16.454165 %, ranking #83 out of 236 countries. This ratio is relatively low compared to many developed nations, indicating a smaller proportion of elderly dependents relative to the working-age population. Contributing factors include the country's youthful demographic profile and a relatively stable economy that supports a younger workforce, which helps maintain this dependency ratio.
Bermuda
Bermuda's Old-Age Dependency Ratio in 2018 was 26.153383 %, ranking it #41 out of 236 countries. This figure indicates a relatively moderate dependency ratio compared to countries like Japan, which has one of the highest ratios globally. The ratio reflects Bermuda's aging population and a high standard of living that attracts retirees, coupled with a low birth rate that contributes to a higher proportion of elderly residents.
Colombia
In 2018, Colombia had an Old-Age Dependency Ratio of 11.397068 %, ranking #118 out of 236 countries. This ratio is lower than the global average, indicating a relatively younger population compared to many developed nations. Contributing factors include Colombia's ongoing demographic transition, with a declining birth rate and increasing life expectancy, which are shaping the age structure of its population.
Congo
Congo's Old-Age Dependency Ratio in 2018 was 4.8898215 %, ranking it #217 out of 236 countries. This figure is significantly lower than that of many developed nations, where ratios often exceed 20%. The low dependency ratio can be attributed to Congo's youthful population, with a large proportion of individuals under the age of 30, coupled with challenges in healthcare and economic development that limit life expectancy.
Andorra
In 2018, Andorra had an Old-Age Dependency Ratio of 18.60739 %, ranking #73 out of 236 countries. This ratio is relatively low compared to many European nations, indicating a smaller proportion of elderly dependents relative to the working-age population. Contributing factors include Andorra's young demographic profile and a robust economy that attracts a diverse workforce, helping to sustain a balanced dependency ratio.
Costa Rica
Costa Rica's Old-Age Dependency Ratio in 2018 was 14.144039 %, ranking #97 out of 236 countries. This figure is relatively low compared to regional neighbors, reflecting a younger population structure in Central America. Key drivers of this ratio include Costa Rica's effective healthcare system and social policies that promote family support for the elderly, which help mitigate the economic burdens typically associated with aging populations.
Angola
In 2018, Angola had an Old-Age Dependency Ratio of 5.166748 %, ranking #208 out of 236 countries. This ratio is significantly lower than the global average, indicating a relatively young population compared to many nations. High fertility rates and a lower life expectancy contribute to this demographic profile, suggesting that Angola's population is still in a growth phase, with fewer elderly dependents relative to the working-age population.
Bhutan
In 2018, Bhutan had an Old-Age Dependency Ratio of 8.485235 %, ranking #150 out of 236 countries. This ratio is relatively low compared to many developed nations, where aging populations are more pronounced. Bhutan's young demographic profile, characterized by a high birth rate and a growing working-age population, contributes to this lower dependency ratio, which is crucial for sustaining economic growth and social stability.
Belgium
In 2018, Belgium had an Old-Age Dependency Ratio of 29.25665 %, ranking #26 out of 236 countries. This ratio indicates that for every 100 working-age individuals, approximately 29 seniors rely on them for support, which is higher than the global average. Contributing factors include Belgium's aging population and robust healthcare system, which supports longer life expectancy, leading to a greater proportion of elderly citizens.
Algeria
In 2018, Algeria had an Old-Age Dependency Ratio of 8.770308 %, ranking #145 out of 236 countries. This ratio is lower than many of its regional neighbors, indicating a relatively younger population compared to countries like Italy, which faces significant aging challenges. Contributing factors include Algeria's youthful demographic profile, driven by a high birth rate and a history of policies focused on improving child health and education, which has resulted in a smaller elderly population.
Data Source
Old-age dependency ratio | Our World in Data
Our World in Data is a research organization that provides comprehensive statistical data and visualizations on global development issues. The old-age dependency ratio dataset specifically offers insights into the ratio of older dependents to the working-age population across various countries.
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