China, mainland vs Republic of Moldova: Food Transport — Emissions (CO2eq) from F-gases

China, mainland
3,352 kt
in 2023
Republic of Moldova
23.08 kt
in 2023
China, mainland rank
3rd
Republic of Moldova rank
5th

Food Transport — Emissions (CO2eq) from F-gases over time

  • China, mainland
  • Republic of Moldova
01.0k2.0k3.0k199520092023

How they compare

China, mainland currently reports 3,352 kt against 23.08 kt in Republic of Moldova, a difference of 3,329 kt.

That makes China, mainland's figure about 145.2 times Republic of Moldova's.

The two have swapped places 2 times across 28 shared years of data; in 1996 it was China, mainland ahead.

China, mainland ranks 3rd and Republic of Moldova ranks 5th of 88 countries.

China, mainland has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade China, mainland Republic of Moldova Difference Ahead
1990s 1.18 kt 0.3896 kt 0.7917 kt China, mainland
2000s 240.49 kt 9.18 kt 231.31 kt China, mainland
2010s 1,783 kt 23 kt 1,760 kt China, mainland
2020s 3,283 kt 22.97 kt 3,260 kt China, mainland

Averages of every year both report within each decade.

Frequently asked questions

Which has higher food transport — emissions (co2eq) from f-gases, China, mainland or Republic of Moldova?
China, mainland, at 3,352 kt against 23.08 kt in Republic of Moldova as of 2023.
What is the difference in food transport — emissions (co2eq) from f-gases between China, mainland and Republic of Moldova?
3,329 kt, with China, mainland ahead.
How many years of comparable data are there for China, mainland and Republic of Moldova?
28 years are reported by both, from 1996 to 2023.
How do China, mainland and Republic of Moldova rank globally for food transport — emissions (co2eq) from f-gases?
China, mainland ranks 3rd and Republic of Moldova ranks 5th of 88 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Food Transport — Emissions (CO2eq) from F-gases (AR5). 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

China, mainland vs Republic of Moldova: Food Transport — Emissions (CO2eq) from F-gases. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 September 2026, from https://climate.statizoid.com/compare/food-transport-emissions-co2eq-from-f-gases-ar5/china-mainland/republic-of-moldova/

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-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://climate.statizoid.com/compare/food-transport-emissions-co2eq-from-f-gases-ar5/china-mainland/republic-of-moldova/">China, mainland vs Republic of Moldova: Food Transport — Emissions (CO2eq) from F-gases</a> — Statizoid

About this data

Indicator
Food Transport — Emissions (CO2eq) from F-gases (AR5)
Unit
kt
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
115 places, 3,671 data points, 1990–2023
Last refreshed

The FAOSTAT domain on Emissions from Pre- and post- agricultural production includes the greenhouse gas (GHG) emissions, and related activity data, generated from pre- and post-agriculture production stages of the agri-food systems. Data are computed following the Tier 1 methods of the Intergovernmental Panel on Climate Change (IPCC) Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 1996; 1997; 2000; 2002; 2006; 2014). The domain includes methane (CH4), nitrous oxide (N2O), carbon dioxide (CO2) and CO2 equivalent (CO2eq) emissions from the above activities as well as the aggregate fluorinated gases (F-gases) emissions. Estimates are available by country, with global coverage and are updated annually.The FAOSTAT domain disseminates information estimates of CH4, N2O, CO2 emissions, F-gases, their aggregates in CO2eq in units of kilotonnes (kt, or 10^6 kg), and the underlying activity data. CO2eq emissions are computed by using the IPCC Fifth Assessment report global warming potentials, AR5 (IPCC, 2014). Data are available for most countries and territories, for standard FAOSTAT regional aggregations, and for Annex I and non-Annex I country groups.