Old-Age Dependency Ratio 2015
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 | 104.906 % | |
2 | Monaco | 62.189 % | |
3 | Japan | 44.609 % | |
4 | Italy | 34.236 % | |
5 | Greece | 32.673 % | |
6 | Germany | 32.002 % | |
7 | Finland | 31.837 % | |
8 | Isle of Man | 31.723 % | |
9 | Saint Helena | 31.586 % | |
10 | Portugal | 31.564 % | |
11 | Sweden | 31.258 % | |
12 | Bulgaria | 30.67 % | |
13 | France | 29.918 % | |
14 | Latvia | 29.86 % | |
15 | Croatia | 29.062 % | |
16 | Denmark | 29.022 % | |
17 | Estonia | 29.002 % | |
18 | Guernsey | 28.595 % | |
19 | Lithuania | 28.377 % | |
20 | Serbia | 28.267 % | |
21 | Martinique | 28.143 % | |
22 | Belgium | 27.987 % | |
23 | Spain | 27.868 % | |
24 | San Marino | 27.767 % | |
25 | Puerto Rico | 27.614 % | |
26 | United Kingdom | 27.582 % | |
27 | Austria | 27.436 % | |
28 | United States Virgin Islands | 27.338 % | |
29 | Faroe Islands | 27.23 % | |
30 | Czech Republic | 27.153 % | |
31 | Malta | 27.135 % | |
32 | Netherlands | 27.047 % | |
33 | Gibraltar | 26.828 % | |
34 | Slovenia | 26.81 % | |
35 | Hungary | 26.758 % | |
36 | Switzerland | 26.575 % | |
37 | Saint Pierre and Miquelon | 25.831 % | |
38 | Guadeloupe | 25.737 % | |
39 | Romania | 25.632 % | |
40 | Bosnia and Herzegovina | 25.184 % | |
41 | Norway | 24.73 % | |
42 | Jersey | 24.002 % | |
43 | Liechtenstein | 23.846 % | |
44 | Canada | 23.596 % | |
45 | Bermuda | 23.487 % | |
46 | Uruguay | 22.677 % | |
47 | Australia | 22.486 % | |
48 | New Zealand | 22.181 % | |
49 | Poland | 22.105 % | |
50 | Ukraine | 21.71 % | |
51 | Montenegro | 21.522 % | |
52 | United States | 21.492 % | |
53 | Montserrat | 21.408 % | |
54 | Georgia | 21.275 % | |
55 | China, Hong Kong SAR | 20.999 % | |
56 | Niue | 20.995 % | |
57 | Curaçao | 20.692 % | |
58 | Iceland | 20.673 % | |
59 | Belarus | 20.583 % | |
60 | Cuba | 20.517 % | |
61 | Luxembourg | 20.487 % | |
62 | Slovakia | 20.059 % | |
63 | Ireland | 19.982 % | |
64 | North Macedonia | 19.552 % | |
65 | Russia | 19.435 % | |
66 | Barbados | 19.03 % | |
67 | Albania | 18.314 % | |
68 | Israel | 18.106 % | |
69 | Andorra | 17.93 % | |
70 | South Korea | 17.666 % | |
71 | Cyprus | 17.465 % | |
72 | Argentina | 17.197 % | |
73 | Aruba | 16.8 % | |
74 | Taiwan | 16.712 % | |
75 | Republic of Moldova | 16.703 % | |
76 | Wallis and Futuna Islands | 16.554 % | |
77 | Chile | 16.333 % | |
78 | Réunion | 15.88 % | |
79 | Armenia | 15.838 % | |
80 | North Korea | 15.809 % | |
81 | Falkland Islands (Malvinas) | 15.798 % | |
82 | Bonaire, Sint Eustatius and Saba | 15.458 % | |
83 | Cook Islands | 15.036 % | |
84 | Tokelau | 15.014 % | |
85 | Grenada | 14.898 % | |
86 | Bahamas | 14.875 % | |
87 | Thailand | 14.413 % | |
88 | Saint Vincent and the Grenadines | 14.268 % | |
89 | Dominica | 14.046 % | |
90 | China | 14.033 % | |
91 | Sri Lanka | 13.555 % | |
92 | New Caledonia | 13.129 % | |
93 | Guam | 13.057 % | |
94 | Saint Barthélemy | 13.013 % | |
95 | Costa Rica | 12.737 % | |
96 | Peru | 12.725 % | |
97 | Mauritius | 12.284 % | |
98 | Singapore | 11.474 % | |
99 | Antigua and Barbuda | 11.457 % | |
100 | Brazil | 11.421 % | |
101 | Turks and Caicos Islands | 11.343 % | |
102 | Saint Lucia | 11.234 % | |
103 | Anguilla | 11.217 % | |
104 | Turkey | 11.114 % | |
105 | El Salvador | 11.088 % | |
106 | Panama | 11.083 % | |
107 | Trinidad and Tobago | 11.061 % | |
108 | China, Macao SAR | 10.985 % | |
109 | Greenland | 10.864 % | |
110 | French Polynesia | 10.671 % | |
111 | Saint Kitts and Nevis | 10.626 % | |
112 | Saint Martin (French part) | 10.603 % | |
113 | Sint Maarten (Dutch part) | 10.542 % | |
114 | Tonga | 10.501 % | |
115 | Palau | 10.469 % | |
116 | Colombia | 10.389 % | |
117 | Ecuador | 10.32 % | |
118 | Kazakhstan | 10.31 % | |
119 | Tunisia | 10.199 % | |
120 | Mexico | 10.166 % | |
121 | Lebanon | 10.07 % | |
122 | Venezuela | 10.014 % | |
123 | Seychelles | 9.867 % | |
124 | Timor-Leste | 9.459 % | |
125 | Suriname | 9.398 % | |
126 | British Virgin Islands | 9.354 % | |
127 | Vietnam | 9.267 % | |
128 | Jamaica | 9.121 % | |
129 | Indonesia | 9.083 % | |
130 | Bolivia | 9.025 % | |
131 | Nepal | 8.919 % | |
132 | Dominican Republic | 8.809 % | |
133 | Morocco | 8.773 % | |
134 | Tuvalu | 8.72 % | |
135 | Paraguay | 8.65 % | |
136 | Samoa | 8.547 % | |
137 | Iran | 8.531 % | |
138 | Bhutan | 8.355 % | |
139 | India | 8.333 % | |
140 | Malaysia | 8.33 % | |
141 | Myanmar | 8.295 % | |
142 | Guyana | 8.243 % | |
143 | Azerbaijan | 8.19 % | |
144 | American Samoa | 8.181 % | |
145 | Cayman Islands | 8.097 % | |
146 | South Africa | 8.092 % | |
147 | Fiji | 7.994 % | |
148 | Algeria | 7.901 % | |
149 | Kyrgyzstan | 7.855 % | |
150 | French Guiana | 7.816 % | |
151 | Cabo Verde | 7.805 % | |
152 | Bangladesh | 7.67 % | |
153 | Comoros | 7.663 % | |
154 | Syrian Arab Republic | 7.543 % | |
155 | Nicaragua | 7.438 % | |
156 | Eritrea | 7.288 % | |
157 | Cambodia | 7.194 % | |
158 | Uzbekistan | 7.061 % | |
159 | Guatemala | 6.985 % | |
160 | Libya | 6.943 % | |
161 | Egypt | 6.805 % | |
162 | Mauritania | 6.766 % | |
163 | Gabon | 6.757 % | |
164 | Haiti | 6.677 % | |
165 | Djibouti | 6.668 % | |
166 | Pakistan | 6.654 % | |
167 | Guinea | 6.596 % | |
168 | Laos | 6.583 % | |
169 | Sao Tome and Principe | 6.56 % | |
170 | Lesotho | 6.555 % | |
171 | Senegal | 6.512 % | |
172 | Vanuatu | 6.474 % | |
173 | Northern Mariana Islands | 6.44 % | |
174 | Western Sahara | 6.428 % | |
175 | Belize | 6.363 % | |
176 | Togo | 6.358 % | |
177 | Micronesia (Fed. States of) | 6.316 % | |
178 | Solomon Islands | 6.223 % | |
179 | Congo, Democratic Republic of the | 6.145 % | |
180 | Zimbabwe | 6.081 % | |
181 | Kiribati | 6.033 % | |
182 | Philippines | 6.014 % | |
183 | Malawi | 5.953 % | |
184 | Namibia | 5.891 % | |
185 | Liberia | 5.853 % | |
186 | Ghana | 5.787 % | |
187 | Mongolia | 5.759 % | |
188 | Brunei Darussalam | 5.753 % | |
189 | Botswana | 5.734 % | |
190 | Sierra Leone | 5.734 % | |
191 | Eswatini | 5.677 % | |
192 | State of Palestine | 5.673 % | |
193 | Benin | 5.67 % | |
194 | Nigeria | 5.635 % | |
195 | Tanzania | 5.61 % | |
196 | Equatorial Guinea | 5.592 % | |
197 | Honduras | 5.55 % | |
198 | Maldives | 5.519 % | |
199 | Ethiopia | 5.414 % | |
200 | Iraq | 5.382 % | |
201 | Jordan | 5.363 % | |
202 | Turkmenistan | 5.344 % | |
203 | Mali | 5.333 % | |
204 | Mozambique | 5.318 % | |
205 | Rwanda | 5.298 % | |
206 | Cameroon | 5.27 % | |
207 | Angola | 5.171 % | |
208 | Guinea-Bissau | 5.132 % | |
209 | Niger | 5.053 % | |
210 | Madagascar | 5.047 % | |
211 | Burkina Faso | 5.001 % | |
212 | Sudan | 4.971 % | |
213 | Mayotte | 4.873 % | |
214 | Tajikistan | 4.865 % | |
215 | Yemen | 4.862 % | |
216 | Gambia | 4.857 % | |
217 | Congo | 4.8 % | |
218 | Somalia | 4.786 % | |
219 | Marshall Islands | 4.704 % | |
220 | Papua New Guinea | 4.665 % | |
221 | South Sudan | 4.66 % | |
222 | Afghanistan | 4.586 % | |
223 | Côte d'Ivoire | 4.558 % | |
224 | Kenya | 4.391 % | |
225 | Burundi | 4.382 % | |
226 | Chad | 4.167 % | |
227 | Central African Republic | 3.984 % | |
228 | Uganda | 3.869 % | |
229 | Oman | 3.424 % | |
230 | Bahrain | 3.364 % | |
231 | Zambia | 3.273 % | |
232 | Kuwait | 3.178 % | |
233 | Saudi Arabia | 3.064 % | |
234 | Nauru | 2.555 % | |
235 | United Arab Emirates | 1.842 % | |
236 | Qatar | 1.236 % |
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
Nauru
- #233
Saudi Arabia
- #232
Kuwait
- #231
Zambia
- #230
Bahrain
- #229
Oman
- #228
Uganda
- #227
Central African Republic
Context: These countries or territories have the lowest values, often due to geographic size, administrative status, or specific characteristics.
Analysis & Context
In 2015, the Holy See led the world with the highest Old-Age Dependency Ratio at 104.91%, while globally, the ratio ranged from a minimum of 5.38% to this maximum. The global average Old-Age Dependency Ratio in 2015 was 15.67%, reflecting the significant demographic pressures on working-age populations worldwide.
Demographic Pressures in Developed Nations
The data from 2015 highlights a notable trend among developed countries, where aging populations are exerting considerable economic pressure. The Holy See and Monaco, with Old-Age Dependency Ratios of 104.91% and 62.19% respectively, illustrate the challenges faced by countries with high life expectancies and low birth rates. Similarly, Japan and Italy, with ratios of 44.61% and 34.24%, are experiencing the economic strain of supporting a growing elderly population with a shrinking workforce. These nations often have advanced healthcare systems and social security structures, which, while beneficial for the elderly, increase the financial burden on the working-age population.
Low Ratios in Developing Regions
Conversely, many developing countries exhibit much lower Old-Age Dependency Ratios, as evidenced by Iraq and Ethiopia at 5.38% and 5.41% respectively. These figures are indicative of younger populations with higher birth rates and lower life expectancies. Countries like Nigeria and Benin, with ratios of 5.64% and 5.67%, have rapidly growing young populations, which can translate into economic growth if managed well. However, these countries face challenges in providing education and employment opportunities to their burgeoning youth.
Year-over-Year Changes and Economic Implications
The year-over-year changes in Old-Age Dependency Ratios reveal dynamic shifts in demographic structures. Monaco experienced one of the largest increases at 5.2%, potentially due to its attractiveness as a retirement destination, which increases the proportion of elderly residents. In contrast, the Holy See saw a decrease of 2.5%, which may reflect changes in its small population dynamics. These shifts can have profound implications on economic policies, particularly in healthcare and pension systems, as countries strive to maintain economic sustainability despite demographic changes.
Policy Responses to Demographic Challenges
Countries with high Old-Age Dependency Ratios often implement policies aimed at mitigating the economic impact of an aging population. For instance, Germany and Finland, with ratios of 32.00% and 31.84%, have introduced measures to extend working life and encourage higher birth rates. These strategies aim to balance the dependency ratio by increasing the number of active contributors to the economy. Meanwhile, nations with lower ratios, such as Maldives and Honduras, focus on harnessing their youthful populations to fuel economic development, emphasizing education and job creation as key policy areas.
The 2015 Old-Age Dependency Ratio data underscores the diverse demographic challenges faced by countries worldwide. As populations age at varying rates, the economic implications are significant, necessitating tailored policy responses to ensure sustainable economic growth and social stability.
Frequently Asked Questions About Old-Age Dependency Ratio in 2015
Which country had the highest old-age dependency ratio in 2015?
The Holy See had the highest old-age dependency ratio in 2015 at 105%.
Which country had the lowest old-age dependency ratio in 2015?
Qatar had the lowest old-age dependency ratio in 2015 at 1.24%.
What was the average old-age dependency ratio across all countries in 2015?
The average old-age dependency ratio across all countries in 2015 was 13.95%.
What was the median old-age dependency ratio among countries in 2015?
The median old-age dependency ratio among countries in 2015 was 10.25%.
Which countries were in the top 3 for old-age dependency ratio in 2015?
In 2015, the top 3 countries for old-age dependency ratio were the Holy See (105%), Monaco (62.19%), and Japan (44.61%).
How many countries were included in the old-age dependency ratio dataset for 2015?
The dataset for the old-age dependency ratio in 2015 included 236 countries.
Insights by country
Montenegro
In 2015, Montenegro had an Old-Age Dependency Ratio of 21.52211 %, ranking #51 out of 236 countries. This ratio indicates that for every five working-age individuals, there is approximately one elderly person, which is relatively moderate compared to many European nations facing higher dependency ratios. The aging population in Montenegro is influenced by low birth rates and increased life expectancy, compounded by economic challenges that affect migration patterns and healthcare accessibility.
Northern Mariana Islands
In 2015, the Northern Mariana Islands had an Old-Age Dependency Ratio of 6.440472 %, ranking #173 out of 236 countries. This figure is significantly lower than the global average, indicating a relatively young population compared to many other nations. Contributing factors include a high birth rate and a younger workforce, driven by the territory's economic reliance on tourism and agriculture, which attract a younger demographic.
Maldives
In 2015, the Maldives had an Old-Age Dependency Ratio of 5.51945 %, ranking #198 out of 236 countries. This figure is significantly lower than many countries in the region, indicating a relatively youthful population. The low dependency ratio is driven by a high birth rate and a growing economy that focuses on tourism, which supports a younger workforce.
Papua New Guinea
In 2015, Papua New Guinea had an Old-Age Dependency Ratio of 4.6653104 %, ranking #220 out of 236 countries. This ratio is significantly lower than that of many developed nations, indicating a relatively young population compared to countries like Japan, which faces a rapidly aging demographic. Contributing factors include Papua New Guinea's high birth rates and lower life expectancy, which affect the proportion of elderly individuals in the population.
Nepal
Nepal's Old-Age Dependency Ratio in 2015 was 8.9186735 %, ranking it #131 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 Nepal's youthful demographic profile and ongoing challenges in healthcare and social security systems, which affect the elderly population's support and integration into society.
Luxembourg
In 2015, Luxembourg had an Old-Age Dependency Ratio of 20.486761 %, ranking #61 out of 236 countries. This figure is relatively low compared to neighboring Germany, which faces a higher dependency ratio due to its larger aging population. The ratio is influenced by Luxembourg's strong economic performance and high levels of immigration, which contribute to a younger workforce and mitigate the impacts of an aging demographic.
Montserrat
In 2015, Montserrat had an Old-Age Dependency Ratio of 21.408361 %, ranking #53 out of 236 countries. This ratio is relatively low compared to many developed nations, indicating a smaller proportion of elderly dependents to the working-age population. Factors contributing to this statistic include Montserrat's small population size and a relatively young demographic profile, influenced by its economic challenges and limited immigration opportunities.
Aruba
In 2015, Aruba had an Old-Age Dependency Ratio of 16.7998 %, 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. Factors contributing to this statistic include Aruba's younger demographic profile and a robust tourism-driven economy that supports a diverse workforce.
Eswatini
In 2015, Eswatini had an Old-Age Dependency Ratio of 5.6774416 %, ranking #191 out of 236 countries. This ratio is relatively low compared to many developed nations, where aging populations lead to higher dependency ratios. The low figure in Eswatini can be attributed to its youthful demographic profile, where a significant portion of the population is under the age of 30, coupled with challenges in healthcare and economic development that affect life expectancy.
Republic of Moldova
In 2015, the Republic of Moldova had an Old-Age Dependency Ratio of 16.702728 %, ranking #75 out of 236 countries. This ratio indicates that for every 100 working-age individuals, approximately 17 are elderly, which is lower than many European countries facing significant aging challenges. Contributing factors include Moldova's relatively young population and ongoing emigration trends, which impact demographic stability and labor force participation.
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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