Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Fires in humid in China (People’s Republic of)

China (People’s Republic of): Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Fires in humid was 0 in 2019. ◆ Volatile

Latest (2019)
0
Change on year
down 100.0%
World rank
70th
of 207 countries
All-time high
3.9
in 2002
All-time low
0
in 2009
Years of data
30
1990–2019

Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Fires in humid in China (People’s Republic of), 1990–2019

012341990200420191990: 1.21991: 1.21992: 1.21993: 1.21994: 1.21995: 1.21996: 1.31997: 0.9371998: 3.31999: 0.8322000: 1.82001: 0.5232002: 3.92003: 22004: 1.12005: 1.62006: 0.932007: 1.12008: 0.0582009: 02010: 0.6982011: 0.1162012: 1.32013: 02014: 02015: 0.9892016: 0.7562017: 0.1742018: 0.0582019: 0

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

Analysis

The most recent figure for emission totals - emissions (co2eq) from ch4 (ar5) - fires in humid in China (People’s Republic of) is 0, measured in 2019. 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 ch4 (ar5) - fires in humid in China (People’s Republic of) peaked at 3.9 in 2002 and was at its lowest, 0, in 2009.

That places China (People’s Republic of) 70th out of 207 countries with data for 2019, putting it 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 CH4 (AR5) - Fires in humid in China (People’s Republic of), year by year

Annual values for Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Fires in humid tropical forests in China (People’s Republic of), 1990 to 2019.
Year Value Change
1990 1.18
1991 1.18 +0.0%
1992 1.18 +0.0%
1993 1.18 +0.0%
1994 1.18 +0.0%
1995 1.18 +0.0%
1996 1.31 +11.4%
1997 0.9367 -28.6%
1998 3.29 +250.7%
1999 0.8321 -74.7%
2000 1.83 +120.2%
2001 0.5235 -71.4%
2002 3.9 +644.4%
2003 2.04 -47.8%
2004 1.11 -45.7%
2005 1.63 +47.4%
2006 0.9305 -42.9%
2007 1.11 +18.8%
2008 0.0582 -94.7%
2009 0 -100.0%
2010 0.698
2011 0.1163 -83.3%
2012 1.28 +1000.2%
2013 0 -100.0%
2014 0
2015 0.9889
2016 0.7561 -23.5%
2017 0.1745 -76.9%
2018 0.0582 -66.6%
2019 0 -100.0%

Averages by decade

DecadeAverage LowestHighest Years
1990s 1.34 0.8321 3.29 10
2000s 1.31 0 3.9 10
2010s 0.4072 0 1.28 10

Countries ranked near China (People’s Republic of)

  1. 67 Brunei Darussalam 0.0581 compare
  2. 67 Comoros 0.0581 compare
  3. 67 Kenya 0.0581 compare
  4. 70 Afghanistan 0
  5. 70 Albania 0
  6. 70 Algeria 0
  7. 70 American Samoa 0
  8. 70 Andorra 0
  9. 70 Antigua and Barbuda 0
  10. 70 Armenia 0
  11. 70 Aruba 0
  12. 70 Austria 0
  13. 70 Azerbaijan 0
  14. 70 Bahrain 0
  15. 70 Barbados 0
  16. 70 Belarus 0
  17. 70 Belgium 0
  18. 70 Bermuda 0
  19. 70 Bosnia and Herzegovina 0
  20. 70 Botswana 0
  21. 70 British Virgin Islands 0 compare
  22. 70 Bulgaria 0
  23. 70 Burkina Faso 0 compare
  24. 70 Burundi 0 compare
  25. 70 Cape Verde 0
  26. 70 Canada 0
  27. 70 Cayman Islands 0
  28. 70 Chile 0
  29. 70 Croatia 0
  30. 70 Cyprus 0
  31. 70 Czechia 0
  32. 70 Denmark 0
  33. 70 Djibouti 0
  34. 70 Dominica 0
  35. 70 Egypt 0
  36. 70 Equatorial Guinea 0 compare
  37. 70 Eritrea 0
  38. 70 Estonia 0
  39. 70 Eswatini 0
  40. 70 Faroe Islands 0
  41. 70 Finland 0
  42. 70 France 0
  43. 70 French Polynesia 0 compare
  44. 70 Gambia 0 compare
  45. 70 Georgia 0
  46. 70 Germany 0
  47. 70 Gibraltar 0
  48. 70 Greece 0
  49. 70 Greenland 0
  50. 70 Grenada 0 compare
  51. 70 Guam 0
  52. 70 Haiti 0 compare
  53. 70 Hong Kong (China) 0
  54. 70 Hungary 0
  55. 70 Iceland 0
  56. 70 Iran 0
  57. 70 Iraq 0
  58. 70 Ireland 0
  59. 70 Isle of Man 0
  60. 70 Israel 0
  61. 70 Italy 0
  62. 70 Jamaica 0 compare
  63. 70 Japan 0
  64. 70 Jordan 0
  65. 70 Kazakhstan 0
  66. 70 Kiribati 0
  67. 70 Democratic People’s Republic of Korea 0
  68. 70 Korea 0
  69. 70 Kuwait 0
  70. 70 Kyrgyzstan 0
  71. 70 Latvia 0
  72. 70 Lebanon 0
  73. 70 Lesotho 0
  74. 70 Libya 0
  75. 70 Lithuania 0
  76. 70 Luxembourg 0
  77. 70 Macau (China) 0
  78. 70 Maldives 0
  79. 70 Malta 0
  80. 70 Marshall Islands 0
  81. 70 Mauritania 0
  82. 70 Mauritius 0
  83. 70 Micronesia (Federated States of) 0
  84. 70 Republic of Moldova 0
  85. 70 Mongolia 0
  86. 70 Montenegro 0
  87. 70 Morocco 0
  88. 70 Namibia 0
  89. 70 Naoero 0
  90. 70 Netherlands 0
  91. 70 New Zealand 0
  92. 70 Niger 0
  93. 70 North Macedonia 0
  94. 70 Northern Mariana Islands 0
  95. 70 Norway 0
  96. 70 Oman 0
  97. 70 Pakistan 0
  98. 70 Palau 0
  99. 70 Poland 0
  100. 70 Portugal 0
  101. 70 Puerto Rico 0 compare
  102. 70 Qatar 0
  103. 70 Romania 0
  104. 70 Russia 0
  105. 70 Rwanda 0
  106. 70 Samoa 0 compare
  107. 70 Sao Tome and Principe 0
  108. 70 Saudi Arabia 0
  109. 70 Serbia 0
  110. 70 Seychelles 0
  111. 70 Singapore 0 compare
  112. 70 Slovakia 0
  113. 70 Slovenia 0
  114. 70 Solomon Islands 0 compare
  115. 70 Somalia 0
  116. 70 Spain 0
  117. 70 Sri Lanka 0 compare
  118. 70 Saint Kitts and Nevis 0
  119. 70 Saint Lucia 0
  120. 70 Saint Vincent and the Grenadines 0
  121. 70 Sudan 0 compare
  122. 70 Sweden 0
  123. 70 Switzerland 0
  124. 70 Syrian Arab Republic 0
  125. 70 Chinese Taipei 0
  126. 70 Tajikistan 0
  127. 70 Tonga 0
  128. 70 Tunisia 0
  129. 70 Türkiye 0
  130. 70 Turkmenistan 0
  131. 70 Turks and Caicos Islands 0 compare
  132. 70 Tuvalu 0
  133. 70 Ukraine 0
  134. 70 United Arab Emirates 0
  135. 70 United Kingdom of Great Britain and Northern Ireland 0
  136. 70 Uruguay 0
  137. 70 Uzbekistan 0
  138. 70 Vanuatu 0 compare
  139. 70 United States Virgin Islands 0
  140. 70 Palestine, State of 0

See the full ranking of 209 places →

More reference data data for China (People’s Republic of)

All data for China (People’s Republic of) →

Frequently asked questions

What is emission totals - emissions (co2eq) from ch4 (ar5) - fires in humid in China (People’s Republic of)?
Emission totals - emissions (co2eq) from ch4 (ar5) - fires in humid in China (People’s Republic of) 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 ch4 (ar5) - fires in humid recorded in China (People’s Republic of)?
The highest recorded value was 3.9 in 2002.
What is the lowest emission totals - emissions (co2eq) from ch4 (ar5) - fires in humid recorded in China (People’s Republic of)?
The lowest recorded value was 0 in 2009.
How does China (People’s Republic of) rank for emission totals - emissions (co2eq) from ch4 (ar5) - fires in humid?
China (People’s Republic of) ranks 70th out of 207 countries with data for 2019.
Where does this China (People’s Republic of) 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 CH4 (AR5) - Fires in humid tropical forests. Statizoid updates them automatically from the source API.

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Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Fires in humid in China (People’s Republic of). Statizoid, drawing on FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT. Retrieved 22 August 2026, from https://reference.statizoid.com/stat/emission-totals-emissions-co2eq-from-ch4-ar5-fires-in-humid-tropical-forests/china/

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About this data

Indicator
Emission Totals - Emissions (CO2eq) from CH4 (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).