Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Land Use change in China
China: Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Land Use change was 0 in 2019. ◆ Volatile
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Land Use change in China, 1990–2019
Source: FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT.
Analysis
China recorded 0 for emission totals - emissions (co2eq) from ch4 (ar5) - land use change 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) - land use change in China peaked at 3.9 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 CH4 (AR5) - Land Use change in China, year by year
| 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% |
Biggest year-on-year movements
Years where Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Land Use change in China changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2012 | +1000.2% | 0.1163 | 1.28 |
| 2002 | +644.4% | 0.5235 | 3.9 |
Averages by decade
| Decade | Average | Lowest | Highest | 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
- 67 Bhutan 0.0582 compare
- 68 Comoros 0.0581 compare
- 68 Kenya 0.0581 compare
- 70 Cook Islands 0
- 70 Niue 0
- 70 Afghanistan 0
- 70 Albania 0
- 70 Algeria 0
- 70 American Samoa 0
- 70 Andorra 0
- 70 Antigua and Barbuda 0
- 70 Armenia 0
- 70 Aruba 0
- 70 Austria 0
- 70 Azerbaijan 0
- 70 Bahrain 0
- 70 Barbados 0
- 70 Belarus 0
- 70 Belgium 0
- 70 Bermuda 0
- 70 Bosnia and Herzegovina 0
- 70 Botswana 0
- 70 British Virgin Islands 0 compare
- 70 Bulgaria 0
- 70 Burkina Faso 0 compare
- 70 Burundi 0 compare
- 70 Cape Verde 0
- 70 Canada 0
- 70 Cayman Islands 0
- 70 Chile 0
- 70 Croatia 0
- 70 Cyprus 0
- 70 Czechia 0
- 70 Denmark 0
- 70 Djibouti 0
- 70 Dominica 0
- 70 Egypt 0
- 70 Equatorial Guinea 0 compare
- 70 Eritrea 0
- 70 Estonia 0
- 70 Eswatini 0
- 70 Faroe Islands 0
- 70 Finland 0
- 70 France 0
- 70 French Polynesia 0 compare
- 70 Gambia 0 compare
- 70 Georgia 0
- 70 Germany 0
- 70 Gibraltar 0
- 70 Greece 0
- 70 Greenland 0
- 70 Grenada 0 compare
- 70 Guam 0
- 70 Haiti 0 compare
- 70 Hong Kong 0
- 70 Hungary 0
- 70 Iceland 0
- 70 Iran 0
- 70 Iraq 0
- 70 Ireland 0
- 70 Isle of Man 0
- 70 Israel 0
- 70 Italy 0
- 70 Jamaica 0 compare
- 70 Japan 0
- 70 Jordan 0
- 70 Kazakhstan 0
- 70 Kiribati 0
- 70 North Korea 0
- 70 South Korea 0
- 70 Kuwait 0
- 70 Kyrgyzstan 0
- 70 Latvia 0
- 70 Lebanon 0
- 70 Lesotho 0
- 70 Libya 0
- 70 Lithuania 0
- 70 Luxembourg 0
- 70 Macao 0
- 70 Maldives 0
- 70 Malta 0
- 70 Marshall Islands 0
- 70 Mauritania 0
- 70 Mauritius 0
- 70 Micronesia (country) 0
- 70 Moldova 0
- 70 Mongolia 0
- 70 Montenegro 0
- 70 Morocco 0
- 70 Namibia 0
- 70 Nauru 0
- 70 Netherlands 0
- 70 New Zealand 0
- 70 Niger 0
- 70 North Macedonia 0
- 70 Northern Mariana Islands 0
- 70 Norway 0
- 70 Oman 0
- 70 Pakistan 0
- 70 Palau 0
- 70 Poland 0
- 70 Portugal 0
- 70 Puerto Rico 0 compare
- 70 Qatar 0
- 70 Romania 0
- 70 Russia 0
- 70 Rwanda 0
- 70 Samoa 0 compare
- 70 Sao Tome and Principe 0
- 70 Saudi Arabia 0
- 70 Serbia 0
- 70 Seychelles 0
- 70 Singapore 0 compare
- 70 Slovakia 0
- 70 Slovenia 0
- 70 Solomon Islands 0 compare
- 70 Somalia 0
- 70 Spain 0
- 70 Sri Lanka 0 compare
- 70 Saint Kitts and Nevis 0
- 70 Saint Lucia 0
- 70 Saint Vincent and the Grenadines 0
- 70 Sudan 0 compare
- 70 Sweden 0
- 70 Switzerland 0
- 70 Syria 0
- 70 Taiwan 0
- 70 Tajikistan 0
- 70 Tonga 0
- 70 Tunisia 0
- 70 Turkey 0
- 70 Turkmenistan 0
- 70 Turks and Caicos Islands 0 compare
- 70 Tuvalu 0
- 70 Ukraine 0
- 70 United Arab Emirates 0
- 70 United Kingdom 0
- 70 Uruguay 0
- 70 Uzbekistan 0
- 70 Vanuatu 0 compare
- 70 United States Virgin Islands 0
- 70 Palestine 0
More reference data data for China
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 49.4 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 75.5 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 303.29 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 18.8 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 303.29 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 165.62 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 206.2 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 350.74 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1,480 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 102.37 (2050)
Frequently asked questions
- What is emission totals - emissions (co2eq) from ch4 (ar5) - land use change in China?
- Emission totals - emissions (co2eq) from ch4 (ar5) - land use change 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 ch4 (ar5) - land use change recorded in China?
- The highest recorded value was 3.9 in 2002.
- What is the lowest emission totals - emissions (co2eq) from ch4 (ar5) - land use change recorded in China?
- The lowest recorded value was 0 in 2009.
- How does China rank for emission totals - emissions (co2eq) from ch4 (ar5) - land use change?
- 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 CH4 (AR5) - Land Use change. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 30 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
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).