Emission Totals - Emissions (CO2) - Net Forest conversion in Myanmar
Myanmar: Emission Totals - Emissions (CO2) - Net Forest conversion was 81,540 in 2019. ▼ Falling
Emission Totals - Emissions (CO2) - Net Forest conversion in Myanmar, 1990–2019
Source: FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT.
Analysis
The most recent figure for emission totals - emissions (co2) - net forest conversion in Myanmar is 81,540, measured in 2019. That is the lowest value across all 30 years on record.
The figure is down 21.6% over ten years.
Over the whole period, emission totals - emissions (co2) - net forest conversion in Myanmar peaked at 122,220 in 1990 and was at its lowest, 81,540, in 2016.
That places Myanmar 7th out of 197 countries with data for 2019, putting it in the top 10%.
The long-run direction has been consistently falling across the 30 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 122,220 | 122,220 | 122,220 | 10 |
| 2000s | 105,828 | 104,007 | 122,220 | 10 |
| 2010s | 86,169 | 81,540 | 104,007 | 10 |
Countries ranked near Myanmar
More reference data data for Myanmar
- Emission Totals - Indirect emissions (N2O) - Crop Residues 2.53 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 11.17 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 4.58 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 3.28 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 11.17 (2050)
- Temperature anomalies by month 0.4249 °C (2026)
- Summer temperature anomalies 0.0987 °C (2026)
- Spring temperature anomalies -0.0963 °C (2026)
- Emission Totals - Direct emissions (N2O) - IPCC Agriculture 41.91 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Enteric Fermentation 40,582 (2050)
Frequently asked questions
- What is emission totals - emissions (co2) - net forest conversion in Myanmar?
- Emission totals - emissions (co2) - net forest conversion in Myanmar was 81,540 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 (co2) - net forest conversion recorded in Myanmar?
- The highest recorded value was 122,220 in 1990.
- What is the lowest emission totals - emissions (co2) - net forest conversion recorded in Myanmar?
- The lowest recorded value was 81,540 in 2016.
- How does Myanmar rank for emission totals - emissions (co2) - net forest conversion?
- Myanmar ranks 7th out of 197 countries with data for 2019.
- Is emission totals - emissions (co2) - net forest conversion rising or falling in Myanmar?
- Over the last ten years it is down 21.6%. The long-run trend across the full record is falling.
- Where does this Myanmar 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 (CO2) - Net Forest conversion. 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).