China, Hong Kong SAR vs Libya: Pre- and post-production β€” Emissions

China, Hong Kong SAR
7,467 kt
in 2023
Libya
6,917 kt
in 2023
China, Hong Kong SAR rank
47th
Libya rank
48th

Pre- and post-production β€” Emissions over time

  • China, Hong Kong SAR
  • Libya
2.0k4.0k6.0k8.0k199020062023

How they compare

China, Hong Kong SAR currently reports 7,467 kt against 6,917 kt in Libya, a difference of 550 kt.

That makes China, Hong Kong SAR's figure about 1.1 times Libya's.

Across all 34 years both countries report, China, Hong Kong SAR has been ahead every year.

China, Hong Kong SAR ranks 47th and Libya ranks 48th of 221 countries.

China, Hong Kong SAR has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade China, Hong Kong SAR Libya Difference Ahead
1990s 5,183 kt 3,328 kt 1,855 kt China, Hong Kong SAR
2000s 6,768 kt 5,008 kt 1,760 kt China, Hong Kong SAR
2010s 7,792 kt 5,402 kt 2,389 kt China, Hong Kong SAR
2020s 7,744 kt 6,843 kt 900.22 kt China, Hong Kong SAR

Averages of every year both report within each decade.

Frequently asked questions

Which has higher pre- and post-production β€” emissions, China, Hong Kong SAR or Libya?
China, Hong Kong SAR, at 7,467 kt against 6,917 kt in Libya as of 2023.
What is the difference in pre- and post-production β€” emissions between China, Hong Kong SAR and Libya?
550 kt, with China, Hong Kong SAR ahead.
How many years of comparable data are there for China, Hong Kong SAR and Libya?
34 years are reported by both, from 1990 to 2023.
How do China, Hong Kong SAR and Libya rank globally for pre- and post-production β€” emissions?
China, Hong Kong SAR ranks 47th and Libya ranks 48th of 221 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Pre- and post-production β€” Emissions (CO2). 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, Hong Kong SAR vs Libya: Pre- and post-production β€” Emissions. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://climate.statizoid.com/compare/pre-and-post-production-emissions-co2/china-hong-kong-sar/libya/

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/pre-and-post-production-emissions-co2/china-hong-kong-sar/libya/">China, Hong Kong SAR vs Libya: Pre- and post-production β€” Emissions</a> β€” Statizoid

About this data

Indicator
Pre- and post-production β€” Emissions (CO2)
Unit
kt
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
281 places, 9,125 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.