Guinea vs Mauritania: Emission Totals - Indirect emissions (N2O) - Manure applied to Soils

Guinea
0.111
in 2050
Mauritania
0.0975
in 2050
Guinea rank
121st
Mauritania rank
123rd

Emission Totals - Indirect emissions (N2O) - Manure applied to Soils over time

  • Guinea
  • Mauritania
0.020.040.060.080.10.12196120052050

How they compare

Guinea currently reports 0.111 against 0.0975 in Mauritania, a difference of 0.0135.

That makes Guinea's figure about 1.1 times Mauritania's.

The two have swapped places 1 time across 61 shared years of data; in 1961 it was Mauritania ahead.

Guinea ranks 121st and Mauritania ranks 123rd of 192 countries.

Across the 8 decades both report, Guinea averaged higher in 3 and Mauritania in 5.

Head to head by decade

Decade Guinea Mauritania Difference Ahead
1960s 0.0155 0.0337 0.0182 Mauritania
1970s 0.0185 0.0294 0.011 Mauritania
1980s 0.0204 0.0317 0.0114 Mauritania
1990s 0.0287 0.0394 0.0107 Mauritania
2000s 0.0498 0.0514 0.0016 Mauritania
2010s 0.0825 0.06 0.0226 Guinea
2030s 0.0819 0.0778 0.0041 Guinea
2050s 0.111 0.0975 0.0135 Guinea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher emission totals - indirect emissions (n2o) - manure applied to soils, Guinea or Mauritania?
Guinea, at 0.111 against 0.0975 in Mauritania as of 2050.
What is the difference in emission totals - indirect emissions (n2o) - manure applied to soils between Guinea and Mauritania?
0.0135, with Guinea ahead.
How many years of comparable data are there for Guinea and Mauritania?
61 years are reported by both, from 1961 to 2050.
How do Guinea and Mauritania rank globally for emission totals - indirect emissions (n2o) - manure applied to soils?
Guinea ranks 121st and Mauritania ranks 123rd of 192 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 - Indirect emissions (N2O) - Manure applied to Soils. 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

Guinea vs Mauritania: Emission Totals - Indirect emissions (N2O) - Manure applied to Soils. Statizoid, drawing on FAO, FAOSTAT Climate Change, Emissions Totals, http://www.fao.org/faostat/en/#data/GT. Retrieved 21 August 2026, from https://reference.statizoid.com/compare/emission-totals-indirect-emissions-n2o-manure-applied-to-soils/guinea/mauritania/

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-indirect-emissions-n2o-manure-applied-to-soils/guinea/mauritania/">Guinea vs Mauritania: Emission Totals - Indirect emissions (N2O) - Manure applied to Soils</a> — Statizoid

About this data

Indicator
Emission Totals - Indirect emissions (N2O) - Manure applied to Soils
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
194 places, 10,721 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).