Emission Totals - Emissions (CO2eq) from N2O (AR5) - Forest fires in Guatemala

Guatemala: Emission Totals - Emissions (CO2eq) from N2O (AR5) - Forest fires was 58.68 in 2019. ◆ Volatile

Latest (2019)
58.68
Change on year
up 426.6%
World rank
41st
of 209 countries
All-time high
700.62
in 2003
All-time low
7.87
in 2014
Years of data
30
1990–2019

Emission Totals - Emissions (CO2eq) from N2O (AR5) - Forest fires in Guatemala, 1990–2019

02004006008001990200420191990: 149.31991: 149.31992: 149.31993: 149.31994: 149.31995: 149.31996: 212.41997: 148.11998: 593.11999: 163.62000: 384.92001: 8.62002: 48.92003: 700.62004: 12.72005: 3762006: 49.42007: 131.22008: 582009: 181.72010: 492011: 35.62012: 27.52013: 88.22014: 7.92015: 66.12016: 91.42017: 77.32018: 11.12019: 58.7

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

Analysis

Guatemala recorded 58.68 for emission totals - emissions (co2eq) from n2o (ar5) - forest fires in 2019.

That represents a change of up 426.6% on the previous year and down 67.7% over ten years.

Over the whole period, emission totals - emissions (co2eq) from n2o (ar5) - forest fires in Guatemala peaked at 700.62 in 2003 and was at its lowest, 7.87, in 2014.

Guatemala ranks 41st of 209 countries on this measure, in the top quarter.

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

Emission Totals - Emissions (CO2eq) from N2O (AR5) - Forest fires in Guatemala, year by year

Annual values for Emission Totals - Emissions (CO2eq) from N2O (AR5) - Forest fires in Guatemala, 1990 to 2019.
Year Value Change
1990 149.26 —
1991 149.26 +0.0%
1992 149.26 +0.0%
1993 149.26 +0.0%
1994 149.26 +0.0%
1995 149.26 +0.0%
1996 212.38 +42.3%
1997 148.13 -30.3%
1998 593.15 +300.4%
1999 163.64 -72.4%
2000 384.89 +135.2%
2001 8.57 -97.8%
2002 48.87 +470.5%
2003 700.62 +1333.5%
2004 12.73 -98.2%
2005 376.03 +2854.9%
2006 49.44 -86.9%
2007 131.22 +165.4%
2008 58.03 -55.8%
2009 181.74 +213.2%
2010 49 -73.0%
2011 35.61 -27.3%
2012 27.46 -22.9%
2013 88.24 +221.3%
2014 7.87 -91.1%
2015 66.1 +739.4%
2016 91.44 +38.3%
2017 77.32 -15.4%
2018 11.14 -85.6%
2019 58.68 +426.6%

Guatemala compared with similar countries

  • Guatemala's 58.68 is above the median for upper middle income countries, which is 1.73, 33.9× the median. (58 countries reporting)
  • Guatemala's 58.68 is above the median for Latin America & Caribbean, which is 6.42, 9.1× the median. (39 countries reporting)

Biggest year-on-year movements

Years where Emission Totals - Emissions (CO2eq) from N2O (AR5) - Forest fires in Guatemala 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.

YearChange FromTo
2005 +2854.9% 12.73 376.03
2003 +1333.5% 48.87 700.62

Averages by decade

DecadeAverage LowestHighest Years
1990s 201.29 148.13 593.15 10
2000s 195.21 8.57 700.62 10
2010s 51.29 7.87 91.44 10

Countries ranked near Guatemala

  1. 38 Nigeria 71.54 compare
  2. 39 Guinea-Bissau 66.79 compare
  3. 40 Peru 62.75 compare
  4. 42 Nicaragua 47.6 compare
  5. 43 Belize 31 compare
  6. 44 Benin 26.51 compare

See the full ranking of 209 places →

More reference data data for Guatemala

All data for Guatemala →

Frequently asked questions

What is emission totals - emissions (co2eq) from n2o (ar5) - forest fires in Guatemala?
Emission totals - emissions (co2eq) from n2o (ar5) - forest fires in Guatemala was 58.68 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) from n2o (ar5) - forest fires recorded in Guatemala?
The highest recorded value was 700.62 in 2003.
What is the lowest emission totals - emissions (co2eq) from n2o (ar5) - forest fires recorded in Guatemala?
The lowest recorded value was 7.87 in 2014.
How does Guatemala rank for emission totals - emissions (co2eq) from n2o (ar5) - forest fires?
Guatemala ranks 41st out of 209 countries with data for 2019.
Is emission totals - emissions (co2eq) from n2o (ar5) - forest fires rising or falling in Guatemala?
Over the last ten years it is down 67.7%. The long-run trend across the full record is volatile.
Where does this Guatemala 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) from N2O (AR5) - Forest fires. Statizoid updates them automatically from the source API.

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Emission Totals - Emissions (CO2eq) from N2O (AR5) - Forest fires in Guatemala. Statizoid, drawing on FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT. Retrieved 29 September 2026, from https://reference.statizoid.com/stat/emission-totals-emissions-co2eq-from-n2o-ar5-forest-fires/guatemala/

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About this data

Indicator
Emission Totals - Emissions (CO2eq) from N2O (AR5) - Forest 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).