Argentina vs Brazil: Food GHG emissions by system stage (Share of total) - LULUC

Argentina
39.55 Production
in 2015
Brazil
40.11 Production
in 2015
Argentina rank
56th
Brazil rank
55th

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

  • Argentina
  • Brazil
020406080199020022015

How they compare

Brazil currently reports 40.11 Production against 39.55 Production in Argentina, a difference of 0.56 Production.

The two have swapped places 2 times across 26 shared years of data; in 1990 it was Brazil ahead.

Argentina ranks 56th and Brazil ranks 55th of 179 countries.

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

Head to head by decade

Decade Argentina Brazil Difference Ahead
1990s 45.3 Production 67.84 Production 22.54 Production Brazil
2000s 44.75 Production 61.79 Production 17.04 Production Brazil
2010s 41.43 Production 42.21 Production 0.7732 Production Brazil

Averages of every year both report within each decade.

Frequently asked questions

Which has higher food ghg emissions by system stage (share of total) - luluc, Argentina or Brazil?
Brazil, at 40.11 Production against 39.55 Production in Argentina as of 2015.
What is the difference in food ghg emissions by system stage (share of total) - luluc between Argentina and Brazil?
0.56 Production, with Brazil ahead.
How many years of comparable data are there for Argentina and Brazil?
26 years are reported by both, from 1990 to 2015.
How do Argentina and Brazil rank globally for food ghg emissions by system stage (share of total) - luluc?
Argentina ranks 56th and Brazil ranks 55th of 179 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) - LULUC (Production). 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

Argentina vs Brazil: Food GHG emissions by system stage (Share of total) - LULUC. 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 04 September 2026, from https://reference.statizoid.com/compare/food-ghg-emissions-by-system-stage-share-of-total-luluc-production/argentina/brazil/

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-luluc-production/argentina/brazil/">Argentina vs Brazil: Food GHG emissions by system stage (Share of total) - LULUC</a> — Statizoid

About this data

Indicator
Food GHG emissions by system stage (Share of total) - LULUC (Production)
Unit
Production
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
179 places, 4,654 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).