Mexico vs Myanmar: Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture

Mexico
80,246
in 2050
Myanmar
89,344
in 2050
Mexico rank
10th
Myanmar rank
8th

Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture over time

  • Mexico
  • Myanmar
20.0k40.0k60.0k80.0k196120052050

How they compare

Myanmar currently reports 89,344 against 80,246 in Mexico, a difference of 9,098.

That makes Myanmar's figure about 1.1 times Mexico's.

The two have swapped places 3 times across 61 shared years of data; in 1961 it was Mexico ahead.

Mexico ranks 10th and Myanmar ranks 8th of 208 countries.

Across the 8 decades both report, Mexico averaged higher in 5 and Myanmar in 3.

Head to head by decade

Decade Mexico Myanmar Difference Ahead
1960s 39,271 31,802 7,468 Mexico
1970s 48,682 35,389 13,292 Mexico
1980s 59,531 38,624 20,907 Mexico
1990s 60,722 43,510 17,212 Mexico
2000s 61,018 56,252 4,766 Mexico
2010s 64,861 66,450 1,589 Myanmar
2030s 72,528 76,565 4,037 Myanmar
2050s 80,246 89,344 9,097 Myanmar

Averages of every year both report within each decade.

Frequently asked questions

Which has higher emission totals - emissions (co2eq) from ch4 (ar5) - ipcc agriculture, Mexico or Myanmar?
Myanmar, at 89,344 against 80,246 in Mexico as of 2050.
What is the difference in emission totals - emissions (co2eq) from ch4 (ar5) - ipcc agriculture between Mexico and Myanmar?
9,098, with Myanmar ahead.
How many years of comparable data are there for Mexico and Myanmar?
61 years are reported by both, from 1961 to 2050.
How do Mexico and Myanmar rank globally for emission totals - emissions (co2eq) from ch4 (ar5) - ipcc agriculture?
Mexico ranks 10th and Myanmar ranks 8th of 208 countries.
Where does this data come from?
FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT, published as Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Mexico vs Myanmar: Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture. Statizoid, drawing on FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT. Retrieved 20 August 2026, from https://reference.statizoid.com/compare/emission-totals-emissions-co2eq-from-ch4-ar5-ipcc-agriculture/mexico/myanmar/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://reference.statizoid.com/compare/emission-totals-emissions-co2eq-from-ch4-ar5-ipcc-agriculture/mexico/myanmar/">Mexico vs Myanmar: Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture</a> — Statizoid

About this data

Indicator
Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture
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
210 places, 11,304 data points, 1961–2050
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).