Emission Totals - Emissions (CH4) - Savanna fires in China

China: Emission Totals - Emissions (CH4) - Savanna fires was 3.49 in 2019. β—† Volatile

Latest (2019)
3.49
Change on year
down 12.7%
World rank
52nd
of 208 countries
All-time high
17.42
in 2003
All-time low
3.06
in 2017
Years of data
30
1990–2019

Emission Totals - Emissions (CH4) - Savanna fires in China, 1990–2019

510151990200420191990: 6.71991: 6.71992: 6.71993: 6.71994: 6.71995: 6.71996: 4.31997: 3.91998: 4.31999: 3.32000: 5.32001: 4.12002: 4.62003: 17.42004: 9.62005: 72006: 52007: 7.42008: 14.22009: 9.12010: 10.82011: 52012: 4.22013: 4.52014: 6.42015: 4.82016: 3.92017: 3.12018: 42019: 3.5

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

Analysis

The most recent figure for emission totals - emissions (ch4) - savanna fires in China is 3.49, measured in 2019.

The figure is down 12.7% on the previous year and down 61.7% over ten years.

Over the whole period, emission totals - emissions (ch4) - savanna fires in China peaked at 17.42 in 2003 and was at its lowest, 3.06, in 2017.

That places China 52nd out of 208 countries with data for 2019, putting it in the top quarter.

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

Averages by decade

DecadeAverage LowestHighest Years
1990s 5.62 3.34 6.72 10
2000s 8.36 4.07 17.42 10
2010s 5 3.06 10.8 10

Countries ranked near China

  1. 49 Thailand 4.46 compare
  2. 50 Laos 4.17 compare
  3. 51 Honduras 3.63 compare
  4. 53 Mongolia 3.2 compare
  5. 54 Iran 2.44 compare
  6. 55 Niger 2.34 compare

See the full ranking of 209 places β†’

More reference data data for China

All data for China β†’

Frequently asked questions

What is emission totals - emissions (ch4) - savanna fires in China?
Emission totals - emissions (ch4) - savanna fires in China was 3.49 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 (ch4) - savanna fires recorded in China?
The highest recorded value was 17.42 in 2003.
What is the lowest emission totals - emissions (ch4) - savanna fires recorded in China?
The lowest recorded value was 3.06 in 2017.
How does China rank for emission totals - emissions (ch4) - savanna fires?
China ranks 52nd out of 208 countries with data for 2019.
Is emission totals - emissions (ch4) - savanna fires rising or falling in China?
Over the last ten years it is down 61.7%. The long-run trend across the full record is volatile.
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 (CH4) - Savanna fires. Statizoid updates them automatically from the source API.

Download this data

CSV Β· JSON β€” 30 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

About this data

Indicator
Emission Totals - Emissions (CH4) - Savanna fires
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, 6,120 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).