Emission Totals - Emissions (CO2eq) (AR5) - Land Use change in China
China: Emission Totals - Emissions (CO2eq) (AR5) - Land Use change was 0 in 2019. ◆ Volatile
Emission Totals - Emissions (CO2eq) (AR5) - Land Use change in China, 1990–2019
Source: FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT.
Analysis
In 2019, emission totals - emissions (co2eq) (ar5) - land use change 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) (ar5) - land use change in China peaked at 7.26 in 2002 and was at its lowest, 0, in 2009.
China ranks 127th of 212 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) (AR5) - Land Use change in China, year by year
| Year | Value | Change |
|---|---|---|
| 1990 | 1.96 | — |
| 1991 | 1.96 | +0.0% |
| 1992 | 1.96 | +0.0% |
| 1993 | 1.96 | +0.0% |
| 1994 | 1.96 | +0.0% |
| 1995 | 1.96 | +0.0% |
| 1996 | 1.68 | -14.2% |
| 1997 | 1.2 | -28.6% |
| 1998 | 4.2 | +250.7% |
| 1999 | 1.06 | -74.7% |
| 2000 | 2.34 | +120.2% |
| 2001 | 0.9759 | -58.3% |
| 2002 | 7.26 | +644.4% |
| 2003 | 3.8 | -47.8% |
| 2004 | 2.06 | -45.7% |
| 2005 | 3.04 | +47.4% |
| 2006 | 1.73 | -42.9% |
| 2007 | 2.06 | +18.8% |
| 2008 | 0.1085 | -94.7% |
| 2009 | 0 | -100.0% |
| 2010 | 1.3 | — |
| 2011 | 0.2168 | -83.3% |
| 2012 | 2.39 | +1000.2% |
| 2013 | 0 | -100.0% |
| 2014 | 0 | — |
| 2015 | 1.84 | — |
| 2016 | 1.41 | -23.5% |
| 2017 | 0.3253 | -76.9% |
| 2018 | 0.1084 | -66.7% |
| 2019 | 0 | -100.0% |
China compared with similar countries
- China's 0 is below the median for upper middle income countries, which is 28.38. (58 countries reporting)
- China's 0 is below the median for East Asia & Pacific, which is 49.65. (37 countries reporting)
Biggest year-on-year movements
Years where Emission Totals - Emissions (CO2eq) (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% | 0.2168 | 2.39 |
| 2002 | +644.4% | 0.9759 | 7.26 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 1.99 | 1.06 | 4.2 | 10 |
| 2000s | 2.34 | 0 | 7.26 | 10 |
| 2010s | 0.759 | 0 | 2.39 | 10 |
Countries ranked near China
- 124 Bhutan 0.1086 compare
- 125 Kenya 0.1083 compare
- 126 Greece 0.0475 compare
- 127 Cook Islands 0
- 127 Niue 0 compare
- 127 Afghanistan 0
- 127 Albania 0
- 127 Andorra 0
- 127 Antigua and Barbuda 0
- 127 Aruba 0
- 127 Bahrain 0
- 127 Barbados 0
- 127 Belarus 0 compare
- 127 Belgium 0 compare
- 127 Bermuda 0
- 127 Bosnia and Herzegovina 0
- 127 British Virgin Islands 0 compare
- 127 Burundi 0 compare
- 127 Cape Verde 0
- 127 Cayman Islands 0 compare
- 127 Chile 0 compare
- 127 Djibouti 0
- 127 Dominica 0 compare
- 127 Estonia 0
- 127 Faroe Islands 0
- 127 Finland 0 compare
- 127 France 0
- 127 French Polynesia 0 compare
- 127 Georgia 0
- 127 Germany 0
- 127 Gibraltar 0
- 127 Greenland 0
- 127 Grenada 0 compare
- 127 Guam 0
- 127 Hong Kong 0
- 127 Iceland 0
- 127 Iran 0
- 127 Ireland 0 compare
- 127 Isle of Man 0
- 127 Italy 0
- 127 Jamaica 0 compare
- 127 Jordan 0
- 127 Kiribati 0
- 127 Kuwait 0
- 127 Kyrgyzstan 0
- 127 Lebanon 0 compare
- 127 Lesotho 0
- 127 Libya 0
- 127 Liechtenstein 0 compare
- 127 Luxembourg 0 compare
- 127 Macao 0
- 127 Maldives 0
- 127 Malta 0
- 127 Marshall Islands 0
- 127 Micronesia (country) 0 compare
- 127 Moldova 0 compare
- 127 Monaco 0
- 127 Montenegro 0
- 127 Morocco 0 compare
- 127 Nauru 0
- 127 North Macedonia 0
- 127 Norway 0 compare
- 127 Palau 0
- 127 Poland 0
- 127 Portugal 0 compare
- 127 Puerto Rico 0 compare
- 127 Qatar 0
- 127 Rwanda 0 compare
- 127 San Marino 0
- 127 Saudi Arabia 0
- 127 Seychelles 0
- 127 Slovakia 0 compare
- 127 Saint Kitts and Nevis 0
- 127 Saint Lucia 0 compare
- 127 Taiwan 0
- 127 Tajikistan 0
- 127 Tonga 0
- 127 Turkey 0
- 127 Turkmenistan 0
- 127 Turks and Caicos Islands 0 compare
- 127 Tuvalu 0
- 127 United Arab Emirates 0
- 127 United Kingdom 0
- 127 Uruguay 0
- 127 Uzbekistan 0 compare
- 127 Vanuatu 0 compare
- 127 United States Virgin Islands 0 compare
- 127 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) (ar5) - land use change in China?
- Emission totals - emissions (co2eq) (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) (ar5) - land use change recorded in China?
- The highest recorded value was 7.26 in 2002.
- What is the lowest emission totals - emissions (co2eq) (ar5) - land use change recorded in China?
- The lowest recorded value was 0 in 2009.
- How does China rank for emission totals - emissions (co2eq) (ar5) - land use change?
- China ranks 127th out of 212 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) (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).