Adjusted net savings, including particulate emission damage (% of GNI) - Country Ranking

Definition: Adjusted net savings are equal to net national savings plus education expenditure and minus energy depletion, mineral depletion, net forest depletion, and carbon dioxide and particulate emissions damage.

Source: World Bank staff estimates based on sources and methods described in "The Changing Wealth of Nations 2018: Building a Sustainable Future" (Lange et al 2018).

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Nepal 41.91 2019
2 Sudan 37.34 2019
3 Libya 34.02 2008
4 Brunei 31.16 2019
5 Singapore 31.01 2019
6 The Bahamas 26.48 2019
7 Uzbekistan 24.78 2019
8 China 24.53 2019
9 Vanuatu 24.44 2014
10 Panama 24.38 2019
11 Bangladesh 24.37 2019
12 Cabo Verde 24.31 2019
13 Suriname 24.25 2010
14 Zambia 23.74 2019
15 Myanmar 22.46 2018
16 Honduras 21.69 2019
17 Denmark 21.15 2019
18 Qatar 21.05 2019
19 Tanzania 20.90 2017
20 Kuwait 20.41 2018
21 Algeria 20.40 2019
22 Djibouti 20.19 2018
23 Ethiopia 20.05 2018
24 Bahrain 20.01 2018
25 Dominican Republic 19.86 2019
26 Gabon 19.42 2015
27 Morocco 19.27 2019
28 Mauritania 19.21 2019
29 Saudi Arabia 19.15 2019
30 Philippines 19.10 2019
31 Nicaragua 18.81 2019
32 Sri Lanka 18.62 2019
33 Sweden 18.58 2019
34 Jamaica 18.49 2019
35 North Macedonia 18.25 2019
36 Netherlands 18.22 2019
37 Ireland 17.80 2019
38 Paraguay 17.66 2019
39 Korea 17.63 2019
40 Switzerland 17.36 2019
41 Iceland 17.22 2019
42 Cambodia 17.08 2019
43 Israel 16.39 2019
44 Botswana 16.04 2019
45 Tajikistan 15.83 2017
46 Estonia 15.73 2019
47 Norway 15.48 2019
48 Costa Rica 15.39 2019
49 Hungary 15.10 2019
50 India 15.07 2019
51 Senegal 14.84 2018
52 Thailand 14.76 2019
53 Austria 14.53 2019
54 Indonesia 14.21 2019
55 Bhutan 13.82 2019
56 New Zealand 13.64 2018
57 Guyana 13.36 2005
58 Germany 13.31 2019
59 Croatia 13.13 2019
60 Niger 12.77 2019
61 Luxembourg 12.64 2019
62 Bulgaria 12.54 2019
63 Ghana 12.50 2019
64 Turkey 12.49 2019
65 Dem. Rep. Congo 12.03 2019
66 Côte d'Ivoire 11.94 2018
67 Slovenia 11.66 2019
68 Peru 11.65 2019
69 Lithuania 11.60 2019
70 Belgium 11.60 2019
71 Poland 11.01 2019
72 Spain 10.76 2019
73 Belarus 10.59 2019
74 Finland 10.37 2019
75 Jordan 9.60 2019
76 Togo 9.57 2018
77 Vietnam 9.41 2019
78 Papua New Guinea 9.23 2004
79 France 9.16 2019
80 Fiji 8.96 2018
81 Uganda 8.91 2019
82 Tonga 8.75 2012
83 Mauritius 8.64 2019
84 Lesotho 8.51 2019
85 Czech Republic 8.44 2019
86 Haiti 8.36 2019
87 Solomon Islands 8.26 2006
88 Tunisia 8.20 2019
89 Benin 8.16 2019
90 Uruguay 8.13 2019
91 Russia 8.01 2019
92 Cyprus 7.94 2019
93 Georgia 7.74 2019
94 Kyrgyz Republic 7.56 2019
95 Mexico 7.39 2019
96 Brazil 7.38 2019
97 Venezuela 6.97 2014
98 Madagascar 6.89 2019
99 Japan 6.86 2018
100 Slovak Republic 6.76 2019
101 Burkina Faso 6.71 2019
102 Italy 6.53 2019
103 Canada 6.46 2019
104 Australia 6.35 2019
105 Eswatini 6.12 2019
106 Moldova 5.94 2019
107 Azerbaijan 5.87 2019
108 United States 5.78 2019
109 Iran 5.73 2000
110 Ecuador 5.63 2019
111 Romania 5.54 2019
112 Chile 5.46 2019
113 El Salvador 5.37 2019
114 Portugal 5.34 2019
115 Guatemala 5.22 2019
116 Kazakhstan 5.16 2019
117 Argentina 5.12 2019
118 Egypt 5.02 2019
119 Central African Republic 4.98 1994
120 Chad 4.59 1994
121 Mali 4.21 2018
122 Malawi 4.07 2019
123 Comoros 3.70 2019
124 Nigeria 3.67 2019
125 Cameroon 3.50 2019
126 Bolivia 3.37 2019
127 Latvia 3.36 2019
128 Pakistan 3.23 2019
129 Colombia 2.92 2019
130 United Kingdom 2.92 2018
131 Guinea-Bissau 2.04 2018
132 Mongolia 1.20 2019
133 Serbia 1.14 2019
134 Rwanda 0.85 2019
135 Lao PDR -0.18 2016
136 Malaysia -0.25 2019
137 South Africa -0.75 2019
138 Eritrea -1.11 2000
139 Ukraine -1.27 2019
140 Barbados -1.55 2016
141 Albania -2.31 2019
142 Namibia -3.31 2019
143 Greece -3.35 2019
144 Mozambique -3.37 2019
145 Belize -3.81 2019
146 Armenia -4.10 2019
147 The Gambia -4.36 2018
148 Kenya -5.03 2019
149 Congo -5.89 2016
150 Angola -6.85 2019
151 Guinea -7.91 2019
152 Timor-Leste -9.46 2019
153 Iraq -9.72 2019
154 Sierra Leone -13.80 2019
155 Zimbabwe -14.12 2017
156 Oman -16.28 2019
157 Burundi -18.52 2018
158 Lebanon -23.35 2019
159 Liberia -75.41 2019

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Development Relevance: How wealth changes over time is critical to understanding a country’s prospects for sustainable development. Adjusted Net Saving (ANS) was developed as an indicator to approximate the change in wealth—based on simple economic theory in which savings equals investment, and investment equals the change in wealth. ANS measures gross national savings, adjusted for gains (spending on education) and losses (consumption of fixed capital, depletion of subsoil assets and forests, pollution damages). When ANS is negative, it may indicate that wealth is being run down; when ANS is positive, it may indicate that wealth is growing.

Limitations and Exceptions: The exercise treats public education expenditures as an addition to savings. However, because of the wide variability in the effectiveness of public education expenditures, these figures cannot be construed as the value of investments in human capital. A current expenditure of $1 on education does not necessarily yield $1 of human capital. The calculation should also consider private education expenditure, but data are not available for a large number of countries. While extensive, the accounting of natural resource depletion and pollution costs still has some gaps. Key estimates missing on the resource side include the value of fossil water extracted from aquifers, net depletion of fish stocks, and depletion and degradation of soils. Important pollutants affecting human health and economic assets are also excluded.

Statistical Concept and Methodology: Adjusted net savings are derived from standard national accounting measures of gross savings by making four adjustments. First, estimates of fixed capital consumption of produced assets are deducted to obtain net savings. Second, current public expenditures on education are added to net savings (in standard national accounting these expenditures are treated as consumption). Third, estimates of the depletion of a variety of natural resources are deducted to reflect the decline in asset values associated with their extraction and harvest. And fourth, deductions are made for damages from carbon dioxide emissions and local pollution. Estimates of resource depletion are based on the "change in real wealth" method described in Hamilton and Ruta (2008), which estimates depletion as the ratio between the total value of the resource and the remaining reserve lifetime. The total value of the resource is the present value of current and future rents from resource extractions. An economic rent represents an excess return to a given factor of production. Natural resources give rise to rents because they are not produced; in contrast, for produced goods and services competitive forces will expand supply until economic profits are driven to zero. For each type of resource and each country, unit resource rents are derived by taking the difference between prices and the average unit extraction or harvest costs (including a “normal” return on capital). Unit rents are then multiplied by the physical quantity extracted or harvested to arrive at total rent. To estimate the value of the resource, rents are assumed to be constant over the life of the resource (the El Serafy approach), and the present value of the rent flow is calculated using a 4 percent discount rate.

Aggregation method: Weighted average

Periodicity: Annual