Emission Totals - Emissions (CO2eq) (AR5) - Land Use change by country

The FAOSTAT domain Emissions Totals summarizes the greenhouse gas (GHG) emissions generated from agriculture and forest land. They consist of methane (CH4), nitrous oxide (N2O) and carbon dioxide (CO2) emissions from crop and livestock activities, forest management and include land use and land use change...

Countries reporting
211
Highest
663,268
Brazil
Lowest
0
Niue
Median
46.59
Years covered
30
1990–2019
Data points
6,210

What the numbers show

Emission Totals - Emissions (CO2eq) (AR5) - Land Use change is currently reported for 211 countries. The highest value is 663,268 in Brazil; the lowest is 0 in Niue.

The median across all reporting countries is 46.59, and the mean is 16,357.

Over the past decade 50 countries rose and 71 fell. The largest increase was in United States (up 2,620,460.0%), and the largest decrease in Belgium (down 100.0%).

Emission Totals - Emissions (CO2eq) (AR5) - Land Use change: full country ranking

#Country LatestYear 10-year changeTrend
1 Brazil 663,268 2019 down 58.7% falling
2 Indonesia 657,566 2019 up 33.5% volatile
3 Democratic Republic of Congo 623,745 2019 up 59.3% rising
4 Canada 96,117 2019 down 13.0% falling
5 Peru 93,002 2019 up 19.2% rising
6 Myanmar 89,332 2019 down 24.1% falling
7 Colombia 82,642 2019 down 6.9% falling
8 Bolivia 76,773 2019 up 30.6% falling
9 Tanzania 63,114 2019 up 21.4% rising
10 United States 59,728 2019 up 2,620,460.0% volatile
11 Mozambique 57,400 2019 up 5.5% rising
12 Argentina 54,768 2019 down 57.2% flat
13 Paraguay 48,225 2019 down 15.0% rising
14 Angola 47,880 2019 up 0.3% rising
15 Nigeria 46,146 2019 up 0.0% falling
16 Botswana 40,514 2019 unchanged flat
17 Venezuela 40,439 2019 down 51.9% falling
18 Malaysia 39,445 2019 down 27.6% falling
19 Russia 34,534 2019 β€” volatile
20 Cameroon 33,745 2019 down 18.4% falling
21 Cambodia 32,786 2019 up 339.6% volatile
22 Ethiopia 31,401 2019 up 3.6% rising
23 Central African Republic 26,278 2019 down 4.9% rising
24 Ecuador 26,044 2019 down 10.4% falling
25 Chad 23,976 2019 up 39.1% rising
26 Sweden 23,845 2019 down 34.9% falling
27 Cote d'Ivoire 23,661 2019 down 0.1% falling
28 Sudan 21,003 2019 down 2.7% flat
29 Nicaragua 20,528 2019 down 13.9% falling
30 Somalia 17,352 2019 unchanged flat
31 Mexico 15,375 2019 down 0.6% falling
32 Liberia 13,870 2019 down 2.9% flat
33 Laos 13,809 2019 up 4.1% rising
34 Thailand 12,790 2019 up 72.3% falling
35 Papua New Guinea 11,515 2019 up 238.7% volatile
36 Guinea 11,491 2019 up 9.8% rising
37 Benin 10,810 2019 down 0.3% falling
38 Namibia 10,558 2019 up 0.0% flat
39 Uganda 10,503 2019 up 0.1% flat
40 Guyana 9,782 2019 up 107.7% volatile
41 Suriname 8,587 2019 up 170.0% volatile
42 Malawi 7,273 2019 up 1.0% flat
43 Congo 7,150 2019 up 16.8% rising
44 Pakistan 6,995 2019 down 1.0% falling
45 South Africa 6,664 2019 up 0.4% flat
46 Serbia 6,636 2019 β€” volatile
47 Burkina Faso 6,505 2019 down 11.1% falling
48 Gabon 5,711 2019 up 133.8% rising
49 Honduras 5,709 2019 up 1.7% flat
50 Belize 5,104 2019 up 65.2% falling
51 Romania 5,094 2019 β€” volatile
52 Madagascar 4,861 2019 down 77.9% falling
53 Guatemala 4,518 2019 down 72.1% falling
54 Senegal 4,010 2019 down 1.1% falling
55 Panama 3,847 2019 down 10.3% falling
56 Equatorial Guinea 3,832 2019 up 0.0% falling
57 Sierra Leone 3,487 2019 down 0.6% flat
58 Bulgaria 3,248 2019 down 6.5% falling
59 North Korea 3,123 2019 up 1.6% falling
60 South Korea 2,795 2019 down 21.8% rising
61 Denmark 2,261 2019 β€” volatile
62 New Zealand 1,795 2019 up 1,116.3% volatile
63 Japan 1,720 2019 up 118.7% volatile
64 Guinea-Bissau 1,636 2019 down 6.6% flat
65 Ukraine 1,443 2019 down 32.7% volatile
66 Australia 1,307 2019 down 98.1% volatile
67 Niger 1,276 2019 down 2.2% volatile
68 Slovenia 1,162 2019 up 409.6% volatile
69 Togo 1,148 2019 down 0.4% falling
70 El Salvador 1,146 2019 up 0.3% flat
71 Nepal 1,131 2019 up 70.4% volatile
72 Czechia 958.87 2019 up 50.4% rising
73 Northern Mariana Islands 909.6 2019 up 522.1% volatile
74 Spain 807.81 2019 β€” volatile
75 Lithuania 696.68 2019 β€” volatile
76 Mauritania 668.48 2019 up 5.9% rising
77 Eritrea 656.38 2019 up 6.1% rising
78 Algeria 637.9 2019 β€” volatile
79 Haiti 624.45 2019 up 201.3% volatile
80 Dominican Republic 605.31 2019 up 61,938.1% volatile
81 Sri Lanka 598.46 2019 down 45.0% volatile
82 Latvia 581.14 2019 β€” volatile
83 Gambia 527.72 2019 up 0.0% falling
84 Switzerland 511.02 2019 up 6.0% rising
85 South Sudan 484.45 2019 down 50.7% falling
86 East Timor 464.75 2019 down 0.6% flat
87 Azerbaijan 454.88 2019 up 151.7% volatile
88 Croatia 453.61 2019 up 85.6% volatile
89 Iraq 451.77 2019 β€” volatile
90 India 405.86 2019 down 98.4% volatile
91 Hungary 363.11 2019 β€” volatile
92 Eswatini 347.68 2019 down 1.4% flat
93 Syria 336.16 2019 β€” volatile
94 Austria 225.94 2019 up 44.6% volatile
95 Sao Tome and Principe 215.31 2019 up 2,284.6% volatile
96 Solomon Islands 210.09 2019 up 11.2% falling
97 Egypt 182.82 2019 β€” volatile
98 Mongolia 154.27 2019 down 86.2% volatile
99 Vietnam 116.56 2019 down 11.3% volatile
100 Samoa 104.26 2019 down 0.5% flat
101 Trinidad and Tobago 83.89 2019 down 0.8% falling
102 Israel 81.77 2019 β€” volatile
103 Mali 80.26 2019 down 98.3% volatile
104 Comoros 59.96 2019 down 0.9% flat
105 Singapore 49.65 2019 β€” volatile
106 Netherlands 46.59 2019 up 4.4% volatile
107 New Caledonia 39.61 2019 β€” volatile
108 Armenia 36.07 2019 down 82.6% volatile
109 Costa Rica 35.85 2019 down 87.1% volatile
110 Cyprus 30.34 2019 up 161.1% volatile
111 Brunei 28.53 2019 down 97.3% volatile
112 Oman 22.98 2019 β€” volatile
113 Ghana 21.33 2019 down 99.9% volatile
114 Bangladesh 21.26 2019 down 96.9% volatile
115 Philippines 20.69 2019 down 99.9% volatile
116 Tunisia 16.21 2019 up 39.7% volatile
117 Bahamas 14.33 2019 down 31.6% volatile
118 American Samoa 9.23 2019 up 15.0% rising
119 Saint Vincent and the Grenadines 3.75 2019 unchanged volatile
120 Cuba 3.04 2019 down 96.2% volatile
121 Mauritius 2.69 2019 down 97.1% volatile
122 Kazakhstan 2.62 2019 down 99.8% volatile
123 Fiji 0.8671 2019 down 96.2% volatile
124 Bhutan 0.1086 2019 down 97.8% volatile
125 Kenya 0.1083 2019 down 100.0% volatile
126 Greece 0.0475 2019 β€” volatile
127 Aruba 0 2019 β€” flat
127 Afghanistan 0 2019 β€” flat
127 Albania 0 2019 β€” flat
127 Andorra 0 2019 β€” flat
127 United Arab Emirates 0 2019 β€” flat
127 Antigua and Barbuda 0 2019 β€” flat
127 Burundi 0 2019 β€” volatile
127 Belgium 0 2019 down 100.0% volatile
127 Bahrain 0 2019 β€” flat
127 Bosnia and Herzegovina 0 2019 β€” flat
127 Belarus 0 2019 β€” volatile
127 Bermuda 0 2019 β€” flat
127 Barbados 0 2019 β€” flat
127 Chile 0 2019 β€” volatile
127 China 0 2019 β€” volatile
127 Cape Verde 0 2019 β€” flat
127 Cayman Islands 0 2019 down 100.0% volatile
127 Germany 0 2019 β€” flat
127 Dominica 0 2019 β€” volatile
127 Estonia 0 2019 β€” flat
127 Finland 0 2019 down 100.0% volatile
127 France 0 2019 β€” flat
127 Faroe Islands 0 2019 β€” flat
127 Micronesia (country) 0 2019 down 100.0% volatile
127 United Kingdom 0 2019 β€” flat
127 Georgia 0 2019 β€” flat
127 Gibraltar 0 2019 β€” flat
127 Grenada 0 2019 β€” volatile
127 Greenland 0 2019 β€” flat
127 Guam 0 2019 β€” flat
127 Hong Kong 0 2019 β€” flat
127 Isle of Man 0 2019 β€” flat
127 Ireland 0 2019 down 100.0% volatile
127 Iran 0 2019 β€” flat
127 Iceland 0 2019 β€” flat
127 Italy 0 2019 β€” flat
127 Jamaica 0 2019 β€” volatile
127 Jordan 0 2019 β€” flat
127 Kyrgyzstan 0 2019 β€” flat
127 Kiribati 0 2019 β€” flat
127 Saint Kitts and Nevis 0 2019 β€” flat
127 Kuwait 0 2019 β€” flat
127 Lebanon 0 2019 down 100.0% volatile
127 Libya 0 2019 β€” flat
127 Saint Lucia 0 2019 down 100.0% volatile
127 Liechtenstein 0 2019 down 100.0% volatile
127 Lesotho 0 2019 β€” flat
127 Luxembourg 0 2019 β€” volatile
127 Macao 0 2019 β€” flat
127 Morocco 0 2019 down 100.0% volatile
127 Monaco 0 2019 β€” flat
127 Moldova 0 2019 down 100.0% volatile
127 Maldives 0 2019 β€” flat
127 Marshall Islands 0 2019 β€” flat
127 North Macedonia 0 2019 β€” flat
127 Malta 0 2019 β€” flat
127 Montenegro 0 2019 β€” flat
127 Norway 0 2019 β€” volatile
127 Nauru 0 2019 β€” flat
127 Palau 0 2019 β€” flat
127 Poland 0 2019 β€” flat
127 Puerto Rico 0 2019 β€” volatile
127 Portugal 0 2019 down 100.0% volatile
127 Palestine 0 2019 β€” flat
127 French Polynesia 0 2019 β€” volatile
127 Qatar 0 2019 β€” flat
127 Rwanda 0 2019 down 100.0% volatile
127 Saudi Arabia 0 2019 β€” flat
127 San Marino 0 2019 β€” flat
127 Slovakia 0 2019 down 100.0% volatile
127 Seychelles 0 2019 β€” flat
127 Turks and Caicos Islands 0 2019 β€” volatile
127 Tajikistan 0 2019 β€” flat
127 Turkmenistan 0 2019 β€” flat
127 Tonga 0 2019 β€” flat
127 Turkey 0 2019 β€” flat
127 Tuvalu 0 2019 β€” flat
127 Uruguay 0 2019 β€” flat
127 Uzbekistan 0 2019 β€” volatile
127 British Virgin Islands 0 2019 β€” volatile
127 United States Virgin Islands 0 2019 down 100.0% volatile
127 Vanuatu 0 2019 β€” volatile
127 Taiwan 0 2019 β€” flat
127 Cook Islands 0 2019 β€” flat
127 Niue 0 2019 down 100.0% volatile

About this data

Indicator
Emission Totals - Emissions (CO2eq) (AR5) - Land Use change
Source
FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
212 places, 6,210 data points, 1990–2019
Last refreshed

The FAOSTAT domain Emissions Totals summarizes the greenhouse gas (GHG) emissions generated from agriculture and forest land. They consist of methane (CH4), nitrous oxide (N2O) and carbon dioxide (CO2) emissions from crop and livestock activities, forest management and include land use and land use change processes. Data are computed at Tier 1 of the IPCC Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 1996; 1997; 2000; 2002; 2006; 2014). Estimates are available by country, with global coverage for the period 1961–2019 with projections for 2030 and 2050 for some categories of emissions or 1990–2019 for others. The database is updated annually. The FAOSTAT domain Emissions Totals disseminates information estimates of CH4, N2O and CO2 emissions/removals and their aggregates in CO2eq in units of kilotonnes (kt, or 106 kg). The latter are computed by using the IPCC Fifth Assessment report global warming potentials, AR5 (IPCC, 2014).