Emission Totals - Emissions (CH4) - Land Use change in Comoros
Comoros: Emission Totals - Emissions (CH4) - Land Use change was 0.0021 in 2019. ◆ Volatile
Emission Totals - Emissions (CH4) - Land Use change in Comoros, 1990–2019
Source: FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT.
Analysis
In 2019, emission totals - emissions (ch4) - land use change in Comoros stood at 0.0021.
The figure is down 83.2% over ten years.
Over the whole period, emission totals - emissions (ch4) - land use change in Comoros peaked at 0.5458 in 2005 and was at its lowest, 0, in 2001.
That places Comoros 67th out of 209 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 (CH4) - Land Use change in Comoros, year by year
| Year | Value | Change |
|---|---|---|
| 1990 | 0.0568 | — |
| 1991 | 0.0568 | +0.0% |
| 1992 | 0.0568 | +0.0% |
| 1993 | 0.0568 | +0.0% |
| 1994 | 0.0568 | +0.0% |
| 1995 | 0.0568 | +0.0% |
| 1996 | 0.0548 | -3.5% |
| 1997 | 0.0547 | -0.2% |
| 1998 | 0.0569 | +4.0% |
| 1999 | 0.0527 | -7.4% |
| 2000 | 0.0047 | -91.1% |
| 2001 | 0 | -100.0% |
| 2002 | 0 | — |
| 2003 | 0 | — |
| 2004 | 0 | — |
| 2005 | 0.5458 | — |
| 2006 | 0 | -100.0% |
| 2007 | 0.0062 | — |
| 2008 | 0.0208 | +235.5% |
| 2009 | 0.0125 | -39.9% |
| 2010 | 0.0042 | -66.4% |
| 2011 | 0 | -100.0% |
| 2012 | 0 | — |
| 2013 | 0.0062 | — |
| 2014 | 0.0042 | -32.3% |
| 2015 | 0.0249 | +492.9% |
| 2016 | 0 | -100.0% |
| 2017 | 0 | — |
| 2018 | 0.0021 | — |
| 2019 | 0.0021 | +0.0% |
Comoros compared with similar countries
- Comoros's 0.0021 is below the median for lower middle income countries, which is 0.029, 7% of the median. (45 countries reporting)
- Comoros's 0.0021 is below the median for Sub-Saharan Africa, which is 0.1193, 2% of the median. (46 countries reporting)
Biggest year-on-year movements
Years where Emission Totals - Emissions (CH4) - Land Use change in Comoros 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 |
|---|---|---|---|
| 2015 | +492.9% | 0.0042 | 0.0249 |
| 2008 | +235.5% | 0.0062 | 0.0208 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 0.056 | 0.0527 | 0.0569 | 10 |
| 2000s | 0.059 | 0 | 0.5458 | 10 |
| 2010s | 0.0044 | 0 | 0.0249 | 10 |
Countries ranked near Comoros
- 64 Fiji 0.0166 compare
- 65 United States 0.0104 compare
- 66 Mali 0.0062 compare
- 67 Bhutan 0.0021 compare
- 67 Kenya 0.0021 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 China 0 compare
- 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 Comoros
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.002 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0385 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0444 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0039 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0444 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0068 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0026 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.1837 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.2155 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0211 (2050)
Frequently asked questions
- What is emission totals - emissions (ch4) - land use change in Comoros?
- Emission totals - emissions (ch4) - land use change in Comoros was 0.0021 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) - land use change recorded in Comoros?
- The highest recorded value was 0.5458 in 2005.
- What is the lowest emission totals - emissions (ch4) - land use change recorded in Comoros?
- The lowest recorded value was 0 in 2001.
- How does Comoros rank for emission totals - emissions (ch4) - land use change?
- Comoros ranks 67th out of 209 countries with data for 2019.
- Is emission totals - emissions (ch4) - land use change rising or falling in Comoros?
- Over the last ten years it is down 83.2%. The long-run trend across the full record is volatile.
- Where does this Comoros 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) - 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).