Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid in China

China: Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid was 0 in 2019. ◆ Volatile

Latest (2019)
0
Change on year
down 100.0%
World rank
70th
of 209 countries
All-time high
3.37
in 2002
All-time low
0
in 2009
Years of data
30
1990–2019

Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid in China, 1990–2019

01231990200420191990: 0.7781991: 0.7781992: 0.7781993: 0.7781994: 0.7781995: 0.7781996: 0.3651997: 0.2611998: 0.9141999: 0.2322000: 0.512001: 0.4522002: 3.42003: 1.82004: 0.9552005: 1.42006: 0.8042007: 0.9552008: 0.052009: 02010: 0.6032011: 0.1012012: 1.12013: 02014: 02015: 0.8552016: 0.6532017: 0.1512018: 0.052019: 0

Source: FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT.

Analysis

In 2019, emission totals - emissions (co2eq) from n2o (ar5) - fires in humid in China stood at 0. That is the lowest value across all 30 years on record.

Compared with earlier readings it is down 100.0% on the previous year.

Over the whole period, emission totals - emissions (co2eq) from n2o (ar5) - fires in humid in China peaked at 3.37 in 2002 and was at its lowest, 0, in 2009.

China ranks 70th of 209 countries on this measure, in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid in China, year by year

Annual values for Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid tropical forests in China, 1990 to 2019.
Year Value Change
1990 0.7776
1991 0.7776 +0.0%
1992 0.7776 +0.0%
1993 0.7776 +0.0%
1994 0.7776 +0.0%
1995 0.7776 +0.0%
1996 0.3652 -53.0%
1997 0.2608 -28.6%
1998 0.9145 +250.7%
1999 0.2316 -74.7%
2000 0.5101 +120.3%
2001 0.4524 -11.3%
2002 3.37 +644.4%
2003 1.76 -47.8%
2004 0.955 -45.7%
2005 1.41 +47.4%
2006 0.8041 -42.9%
2007 0.9549 +18.8%
2008 0.0503 -94.7%
2009 0 -100.0%
2010 0.6032
2011 0.1005 -83.3%
2012 1.11 +1000.2%
2013 0 -100.0%
2014 0
2015 0.8545
2016 0.6534 -23.5%
2017 0.1508 -76.9%
2018 0.0503 -66.6%
2019 0 -100.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 0.6438 0.2316 0.9145 10
2000s 1.03 0 3.37 10
2010s 0.3518 0 1.11 10

Countries ranked near China

  1. 67 Brunei Darussalam 0.0502 compare
  2. 67 Comoros 0.0502 compare
  3. 67 Kenya 0.0502 compare
  4. 70 Cook Islands 0
  5. 70 Niue 0
  6. 70 Afghanistan 0
  7. 70 Albania 0
  8. 70 Algeria 0
  9. 70 American Samoa 0
  10. 70 Andorra 0
  11. 70 Antigua and Barbuda 0
  12. 70 Armenia 0
  13. 70 Aruba 0
  14. 70 Austria 0
  15. 70 Azerbaijan 0
  16. 70 Bahrain 0
  17. 70 Barbados 0
  18. 70 Belarus 0
  19. 70 Belgium 0
  20. 70 Bermuda 0
  21. 70 Bosnia and Herzegovina 0
  22. 70 Botswana 0
  23. 70 British Virgin Islands 0 compare
  24. 70 Bulgaria 0
  25. 70 Burkina Faso 0 compare
  26. 70 Burundi 0 compare
  27. 70 Cape Verde 0
  28. 70 Canada 0
  29. 70 Cayman Islands 0
  30. 70 Chile 0
  31. 70 Croatia 0
  32. 70 Cyprus 0
  33. 70 Czechia 0
  34. 70 Denmark 0
  35. 70 Djibouti 0
  36. 70 Dominica 0
  37. 70 Egypt 0
  38. 70 Equatorial Guinea 0 compare
  39. 70 Eritrea 0
  40. 70 Estonia 0
  41. 70 Eswatini 0
  42. 70 Faroe Islands 0
  43. 70 Finland 0
  44. 70 France 0
  45. 70 French Polynesia 0 compare
  46. 70 Gambia 0 compare
  47. 70 Georgia 0
  48. 70 Germany 0
  49. 70 Gibraltar 0
  50. 70 Greece 0
  51. 70 Greenland 0
  52. 70 Grenada 0 compare
  53. 70 Guam 0
  54. 70 Haiti 0 compare
  55. 70 Hong Kong, China 0
  56. 70 Hungary 0
  57. 70 Iceland 0
  58. 70 Iran, Islamic Republic of 0
  59. 70 Iraq 0
  60. 70 Ireland 0
  61. 70 Isle of Man 0
  62. 70 Israel 0
  63. 70 Italy 0
  64. 70 Jamaica 0 compare
  65. 70 Japan 0
  66. 70 Jordan 0
  67. 70 Kazakhstan 0
  68. 70 Kiribati 0
  69. 70 Korea, Democratic People's Republic of 0
  70. 70 Republic of Korea 0
  71. 70 Kuwait 0
  72. 70 Kyrgyzstan 0
  73. 70 Latvia 0
  74. 70 Lebanon 0
  75. 70 Lesotho 0
  76. 70 Libya 0
  77. 70 Lithuania 0
  78. 70 Luxembourg 0
  79. 70 Macau, China 0
  80. 70 Maldives 0
  81. 70 Malta 0
  82. 70 Marshall Islands 0
  83. 70 Mauritania 0
  84. 70 Mauritius 0
  85. 70 Micronesia, Federated States of 0
  86. 70 Republic of Moldova 0
  87. 70 Mongolia 0
  88. 70 Montenegro 0
  89. 70 Morocco 0
  90. 70 Namibia 0
  91. 70 Naoero 0
  92. 70 Netherlands 0
  93. 70 New Zealand 0
  94. 70 Niger 0
  95. 70 North Macedonia 0
  96. 70 Northern Mariana Islands 0
  97. 70 Norway 0
  98. 70 Oman 0
  99. 70 Pakistan 0
  100. 70 Palau 0
  101. 70 Poland 0
  102. 70 Portugal 0
  103. 70 Puerto Rico 0 compare
  104. 70 Qatar 0
  105. 70 Romania 0
  106. 70 Russian Federation 0
  107. 70 Rwanda 0
  108. 70 Samoa 0 compare
  109. 70 Sao Tome and Principe 0
  110. 70 Saudi Arabia 0
  111. 70 Serbia 0
  112. 70 Seychelles 0
  113. 70 Singapore 0 compare
  114. 70 Slovakia 0
  115. 70 Slovenia 0
  116. 70 Solomon Islands 0 compare
  117. 70 Somalia 0
  118. 70 Spain 0
  119. 70 Sri Lanka 0 compare
  120. 70 Saint Kitts and Nevis 0
  121. 70 Saint Lucia 0
  122. 70 Saint Vincent and the Grenadines 0
  123. 70 Sudan 0 compare
  124. 70 Sweden 0
  125. 70 Switzerland 0
  126. 70 Syrian Arab Republic 0
  127. 70 Taiwan, China 0
  128. 70 Tajikistan 0
  129. 70 Tonga 0
  130. 70 Tunisia 0
  131. 70 Türkiye 0
  132. 70 Turkmenistan 0
  133. 70 Turks and Caicos Islands 0 compare
  134. 70 Tuvalu 0
  135. 70 Ukraine 0
  136. 70 United Arab Emirates 0
  137. 70 United Kingdom of Great Britain and Northern Ireland 0
  138. 70 Uruguay 0
  139. 70 Uzbekistan 0
  140. 70 Vanuatu 0 compare
  141. 70 United States Virgin Islands 0
  142. 70 Palestine, State of 0

See the full ranking of 209 places →

More reference data data for China

All data for China →

Frequently asked questions

What is emission totals - emissions (co2eq) from n2o (ar5) - fires in humid in China?
Emission totals - emissions (co2eq) from n2o (ar5) - fires in humid in China was 0 in 2019, according to FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT.
What is the highest emission totals - emissions (co2eq) from n2o (ar5) - fires in humid recorded in China?
The highest recorded value was 3.37 in 2002.
What is the lowest emission totals - emissions (co2eq) from n2o (ar5) - fires in humid recorded in China?
The lowest recorded value was 0 in 2009.
How does China rank for emission totals - emissions (co2eq) from n2o (ar5) - fires in humid?
China ranks 70th out of 209 countries with data for 2019.
Where does this China data come from?
The figures come from FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT, published as part of Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid tropical forests. Statizoid updates them automatically from the source API.

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Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid in China. Statizoid, drawing on FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT. Retrieved 24 August 2026, from https://reference.statizoid.com/stat/emission-totals-emissions-co2eq-from-n2o-ar5-fires-in-humid-tropical-forests/china/

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About this data

Indicator
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Fires in humid tropical forests
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
209 places, 6,119 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).