Forest rents (% of GDP) - Country Ranking
Definition: Forest rents are roundwood harvest times the product of average prices and a region-specific rental rate.
Source: Estimates based on sources and methods described in "The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium" (World Bank, 2011).
See also: Thematic map, Time series comparison
Rank | Country | Value | Year |
---|---|---|---|
1 | Solomon Islands | 16.45 | 2019 |
2 | Somalia | 13.49 | 1990 |
3 | Liberia | 12.43 | 2019 |
4 | Burundi | 9.21 | 2019 |
5 | Guinea-Bissau | 8.61 | 2019 |
6 | Central African Republic | 8.35 | 2019 |
7 | Dem. Rep. Congo | 7.04 | 2019 |
8 | Uganda | 6.12 | 2019 |
9 | Sierra Leone | 5.97 | 2019 |
10 | Mozambique | 5.47 | 2019 |
11 | Malawi | 5.12 | 2019 |
12 | Zambia | 4.62 | 2019 |
13 | Ethiopia | 4.38 | 2019 |
14 | Guinea | 4.11 | 2019 |
15 | Burkina Faso | 4.03 | 2019 |
16 | Niger | 3.84 | 2019 |
17 | Madagascar | 3.66 | 2019 |
18 | Chad | 3.34 | 2019 |
19 | Guyana | 3.29 | 2019 |
20 | Rwanda | 3.18 | 2019 |
21 | Congo | 3.18 | 2019 |
22 | Togo | 3.18 | 2019 |
23 | Lesotho | 3.05 | 2019 |
24 | Ghana | 2.86 | 2019 |
25 | Eswatini | 2.86 | 2019 |
26 | Eritrea | 2.33 | 2011 |
27 | The Gambia | 2.32 | 2019 |
28 | Cameroon | 2.29 | 2019 |
29 | Sudan | 2.24 | 2019 |
30 | Suriname | 2.09 | 2019 |
31 | Bhutan | 2.08 | 2019 |
32 | Gabon | 1.99 | 2019 |
33 | Benin | 1.92 | 2019 |
34 | Tanzania | 1.82 | 2019 |
35 | Papua New Guinea | 1.81 | 2019 |
36 | Mali | 1.79 | 2019 |
37 | Equatorial Guinea | 1.79 | 2019 |
38 | São Tomé and Principe | 1.76 | 2019 |
39 | Zimbabwe | 1.65 | 2019 |
40 | Uruguay | 1.65 | 2019 |
41 | Myanmar | 1.55 | 2019 |
42 | Malaysia | 1.52 | 2019 |
43 | Lao PDR | 1.33 | 2019 |
44 | Vietnam | 1.30 | 2019 |
45 | Nicaragua | 1.29 | 2019 |
46 | Senegal | 1.28 | 2019 |
47 | Paraguay | 1.24 | 2019 |
48 | Comoros | 1.23 | 2019 |
49 | Côte d'Ivoire | 1.10 | 2019 |
50 | New Zealand | 1.04 | 2019 |
51 | Mauritania | 1.03 | 2019 |
52 | Kenya | 1.03 | 2019 |
53 | Belarus | 1.02 | 2019 |
54 | Latvia | 0.98 | 2019 |
55 | Tajikistan | 0.95 | 2019 |
56 | Honduras | 0.94 | 2019 |
57 | Estonia | 0.85 | 2019 |
58 | Nigeria | 0.81 | 2019 |
59 | Fiji | 0.77 | 2019 |
60 | Costa Rica | 0.75 | 2019 |
61 | Guatemala | 0.74 | 2019 |
62 | Chile | 0.69 | 2019 |
63 | Cambodia | 0.68 | 2019 |
64 | South Africa | 0.64 | 2019 |
65 | Brazil | 0.62 | 2019 |
66 | El Salvador | 0.56 | 2019 |
67 | Bosnia and Herzegovina | 0.55 | 2019 |
68 | Vanuatu | 0.50 | 2019 |
69 | Namibia | 0.50 | 2019 |
70 | Nepal | 0.48 | 2019 |
71 | Haiti | 0.47 | 2019 |
72 | Montenegro | 0.43 | 2019 |
73 | Bolivia | 0.41 | 2019 |
74 | Angola | 0.38 | 2019 |
75 | Afghanistan | 0.37 | 2019 |
76 | Indonesia | 0.37 | 2019 |
77 | Serbia | 0.37 | 2019 |
78 | Finland | 0.34 | 2019 |
79 | Russia | 0.33 | 2019 |
80 | Lithuania | 0.32 | 2019 |
81 | Cabo Verde | 0.31 | 2019 |
82 | Czech Republic | 0.31 | 2019 |
83 | Belize | 0.31 | 2019 |
84 | Thailand | 0.29 | 2019 |
85 | Djibouti | 0.29 | 2019 |
86 | Ukraine | 0.27 | 2019 |
87 | Ecuador | 0.27 | 2019 |
88 | Tunisia | 0.26 | 2019 |
89 | Croatia | 0.25 | 2019 |
90 | Armenia | 0.24 | 2019 |
91 | Samoa | 0.24 | 2019 |
92 | Slovak Republic | 0.23 | 2019 |
93 | Sweden | 0.23 | 2019 |
94 | Moldova | 0.23 | 2019 |
95 | Bulgaria | 0.22 | 2019 |
96 | Slovenia | 0.21 | 2019 |
97 | Botswana | 0.21 | 2019 |
98 | Poland | 0.19 | 2019 |
99 | Romania | 0.17 | 2019 |
100 | Albania | 0.17 | 2019 |
101 | Australia | 0.15 | 2019 |
102 | Philippines | 0.15 | 2019 |
103 | India | 0.15 | 2019 |
104 | Morocco | 0.15 | 2019 |
105 | Egypt | 0.15 | 2019 |
106 | Pakistan | 0.14 | 2019 |
107 | Mongolia | 0.14 | 2019 |
108 | Jamaica | 0.14 | 2019 |
109 | Argentina | 0.14 | 2019 |
110 | North Macedonia | 0.13 | 2019 |
111 | Algeria | 0.12 | 2019 |
112 | Peru | 0.12 | 2019 |
113 | Portugal | 0.11 | 2019 |
114 | Mexico | 0.10 | 2019 |
115 | Turkey | 0.10 | 2019 |
116 | Colombia | 0.10 | 2019 |
117 | Hungary | 0.09 | 2019 |
118 | Timor-Leste | 0.09 | 2019 |
119 | Seychelles | 0.09 | 2019 |
120 | Bangladesh | 0.08 | 2019 |
121 | Panama | 0.08 | 2019 |
122 | Georgia | 0.08 | 2019 |
123 | Cuba | 0.08 | 2018 |
124 | Canada | 0.08 | 2019 |
125 | China | 0.08 | 2019 |
126 | Sri Lanka | 0.07 | 2019 |
127 | Libya | 0.07 | 2019 |
128 | Austria | 0.07 | 2019 |
129 | Yemen | 0.06 | 2019 |
130 | Venezuela | 0.05 | 2014 |
131 | Trinidad and Tobago | 0.05 | 2019 |
132 | Norway | 0.05 | 2019 |
133 | Brunei | 0.05 | 2019 |
134 | United States | 0.04 | 2019 |
135 | Kiribati | 0.04 | 2019 |
136 | Dominican Republic | 0.03 | 2019 |
137 | Germany | 0.03 | 2019 |
138 | Tonga | 0.03 | 2019 |
139 | Dominica | 0.03 | 2019 |
140 | France | 0.03 | 2019 |
141 | Spain | 0.02 | 2019 |
142 | Japan | 0.02 | 2019 |
143 | St. Vincent and the Grenadines | 0.02 | 2019 |
144 | Jordan | 0.02 | 2019 |
145 | Azerbaijan | 0.02 | 2019 |
146 | New Caledonia | 0.02 | 2000 |
147 | Belgium | 0.02 | 2019 |
148 | Denmark | 0.02 | 2019 |
149 | Korea | 0.01 | 2019 |
150 | Ireland | 0.01 | 2019 |
151 | Italy | 0.01 | 2019 |
152 | Kyrgyz Republic | 0.01 | 2019 |
153 | The Bahamas | 0.01 | 2019 |
154 | St. Lucia | 0.01 | 2019 |
155 | Luxembourg | 0.01 | 2019 |
156 | Barbados | 0.01 | 2019 |
157 | Greece | 0.01 | 2019 |
158 | Switzerland | 0.01 | 2019 |
159 | Iran | 0.01 | 2018 |
160 | Kazakhstan | 0.01 | 2019 |
161 | Netherlands | 0.00 | 2019 |
162 | Syrian Arab Republic | 0.00 | 2007 |
163 | Iraq | 0.00 | 2019 |
164 | Liechtenstein | 0.00 | 2018 |
165 | Mauritius | 0.00 | 2019 |
166 | Oman | 0.00 | 2019 |
167 | Uzbekistan | 0.00 | 2019 |
168 | Lebanon | 0.00 | 2019 |
169 | Saudi Arabia | 0.00 | 2019 |
170 | Cyprus | 0.00 | 2019 |
171 | Hong Kong SAR, China | 0.00 | 2019 |
172 | Turkmenistan | 0.00 | 2018 |
173 | Bahrain | 0.00 | 2019 |
174 | Kuwait | 0.00 | 2019 |
175 | Macao SAR, China | 0.00 | 2019 |
176 | Israel | 0.00 | 2019 |
177 | Singapore | 0.00 | 2019 |
178 | Iceland | 0.00 | 2019 |
179 | United Arab Emirates | 0.00 | 2019 |
180 | Qatar | 0.00 | 2019 |
181 | Palau | 0.00 | 2019 |
181 | Nauru | 0.00 | 2019 |
181 | Tuvalu | 0.00 | 2019 |
181 | St. Kitts and Nevis | 0.00 | 2019 |
181 | Monaco | 0.00 | 2018 |
181 | Cayman Islands | 0.00 | 2018 |
181 | Andorra | 0.00 | 2019 |
181 | Antigua and Barbuda | 0.00 | 2019 |
181 | Malta | 0.00 | 2019 |
181 | San Marino | 0.00 | 2018 |
181 | Puerto Rico | 0.00 | 2019 |
181 | Grenada | 0.00 | 2019 |
181 | Greenland | 0.00 | 2018 |
181 | United Kingdom | 0.00 | 2019 |
More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |
Development Relevance: Accounting for the contribution of natural resources to economic output is important in building an analytical framework for sustainable development. In some countries earnings from natural resources, especially from fossil fuels and minerals, account for a sizable share of GDP, and much of these earnings come in the form of economic rents - revenues above the cost of extracting the resources. Natural resources give rise to economic rents because they are not produced. For produced goods and services competitive forces expand supply until economic profits are driven to zero, but natural resources in fixed supply often command returns well in excess of their cost of production. Rents from nonrenewable resources - fossil fuels and minerals - as well as rents from overharvesting of forests indicate the liquidation of a country's capital stock. When countries use such rents to support current consumption rather than to invest in new capital to replace what is being used up, they are, in effect, borrowing against their future.
Limitations and Exceptions: This definition of economic rent differs from that used in the System of National Accounts, where rents are a form of property income, consisting of payments to landowners by a tenant for the use of the land or payments to the owners of subsoil assets by institutional units permitting them to extract subsoil deposits.
Statistical Concept and Methodology: The estimates of natural resources rents are calculated as the difference between the price of a commodity and the average cost of producing it. This is done by estimating the world price of units of specific commodities and subtracting estimates of average unit costs of extraction or harvesting costs (including a normal return on capital). These unit rents are then multiplied by the physical quantities countries extract or harvest to determine the rents for each commodity as a share of gross domestic product (GDP).
Aggregation method: Weighted average
Periodicity: Annual