Comoros vs Equatorial Guinea: Food GHG emissions by system stage (Share of total) - Transport

Comoros
1.11
in 2015
Equatorial Guinea
1.04
in 2015
Comoros rank
144th
Equatorial Guinea rank
147th

Food GHG emissions by system stage (Share of total) - Transport over time

  • Comoros
  • Equatorial Guinea
00.511.52199020022015

How they compare

Comoros currently reports 1.11 against 1.04 in Equatorial Guinea, a difference of 0.07.

That makes Comoros's figure about 1.1 times Equatorial Guinea's.

The two have swapped places 4 times across 26 shared years of data; in 1990 it was Comoros ahead.

Comoros ranks 144th and Equatorial Guinea ranks 147th of 193 countries.

Equatorial Guinea has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Comoros Equatorial Guinea Difference Ahead
1990s 0.3494 0.8749 0.5254 Equatorial Guinea
2000s 0.5929 1.9 1.3 Equatorial Guinea
2010s 1.02 1.37 0.3455 Equatorial Guinea

Averages of every year both report within each decade.

Frequently asked questions

Which has higher food ghg emissions by system stage (share of total) - transport, Comoros or Equatorial Guinea?
Comoros, at 1.11 against 1.04 in Equatorial Guinea as of 2015.
What is the difference in food ghg emissions by system stage (share of total) - transport between Comoros and Equatorial Guinea?
0.07, with Comoros ahead.
How many years of comparable data are there for Comoros and Equatorial Guinea?
26 years are reported by both, from 1990 to 2015.
How do Comoros and Equatorial Guinea rank globally for food ghg emissions by system stage (share of total) - transport?
Comoros ranks 144th and Equatorial Guinea ranks 147th of 193 countries.
Where does this data come from?
Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021), published as Food GHG emissions by system stage (Share of total) - Transport. 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

Comoros vs Equatorial Guinea: Food GHG emissions by system stage (Share of total) - Transport. Statizoid, drawing on Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021). Retrieved 29 August 2026, from https://reference.statizoid.com/compare/food-ghg-emissions-by-system-stage-share-of-total-transport/comoros/equatorial-guinea/

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/food-ghg-emissions-by-system-stage-share-of-total-transport/comoros/equatorial-guinea/">Comoros vs Equatorial Guinea: Food GHG emissions by system stage (Share of total) - Transport</a> — Statizoid

About this data

Indicator
Food GHG emissions by system stage (Share of total) - Transport
Source
Crippa, M., Solazzo, E., Guizzardi, D., Monforti-Ferrario, F., Tubiello, F.N. and Leip, A. EDGAR-FOOD data. Figshare, doi:10.6084/m9.figshare.13476666 (2021)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
193 places, 5,004 data points, 1990–2015
Last refreshed

Food GHG emissions disaggregated by system stage are generated from EDGAR-FOOD, a global emission inventory of GHGs from the food systems. EDGAR-FOOD has been developed to aid the understanding of the activities underlying the energy demand and use, agriculture and land use change emissions associated with the production, distribution, consumption and disposal of food through the various stages and sectors of the composite global food system. These data were complemented with data from the FAOSTAT database on GHG emissions from land use related to agriculture (FAO, 2020). EDGAR-FOOD represents the first database consistently covering each stage of the food chain for all countries with yearly frequency for the period 1990-2015. Details regarding the methodology applied are available in Crippa et al. (2021).