Food GHG emissions by system stage (Share of total) - Transport in Bangladesh

Bangladesh: Food GHG emissions by system stage (Share of total) - Transport was 0.5456 in 2015. ◆ Volatile

Latest (2015)
0.5456
Change on year
up 3.6%
World rank
162nd
of 193 countries
All-time high
0.5456
in 2015
All-time low
0.0873
in 1990
Years of data
26
1990–2015

Food GHG emissions by system stage (Share of total) - Transport in Bangladesh, 1990–2015

0.10.20.30.40.51990200220151990: 0.0871991: 0.1011992: 0.1181993: 0.1251994: 0.1271995: 0.1521996: 0.1671997: 0.1851998: 0.1911999: 0.1722000: 0.1642001: 0.2052002: 0.2042003: 0.2022004: 0.2452005: 0.2562006: 0.2762007: 0.3022008: 0.3572009: 0.4012010: 0.4582011: 0.5122012: 0.5182013: 0.4952014: 0.5262015: 0.546

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).

Analysis

In 2015, food ghg emissions by system stage (share of total) - transport in Bangladesh stood at 0.5456. That is the highest value across all 26 years on record.

Compared with earlier readings it is up 3.6% on the previous year and up 113.2% over ten years.

Over the whole period, food ghg emissions by system stage (share of total) - transport in Bangladesh peaked at 0.5456 in 2015 and was at its lowest, 0.0873, in 1990.

Bangladesh ranks 162nd of 193 countries on this measure, in the bottom quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Food GHG emissions by system stage (Share of total) - Transport in Bangladesh, year by year

Annual values for Food GHG emissions by system stage (Share of total) - Transport in Bangladesh, 1990 to 2015.
Year Value Change
1990 0.0873
1991 0.1014 +16.1%
1992 0.118 +16.4%
1993 0.1246 +5.6%
1994 0.1273 +2.2%
1995 0.1524 +19.7%
1996 0.1667 +9.4%
1997 0.1853 +11.1%
1998 0.191 +3.1%
1999 0.1724 -9.7%
2000 0.1636 -5.1%
2001 0.2052 +25.4%
2002 0.2037 -0.7%
2003 0.2024 -0.7%
2004 0.2446 +20.9%
2005 0.2558 +4.6%
2006 0.2764 +8.0%
2007 0.3019 +9.2%
2008 0.3569 +18.2%
2009 0.4006 +12.3%
2010 0.458 +14.3%
2011 0.5122 +11.8%
2012 0.518 +1.1%
2013 0.4949 -4.5%
2014 0.5264 +6.4%
2015 0.5456 +3.6%

Averages by decade

DecadeAverage LowestHighest Years
1990s 0.1426 0.0873 0.191 10
2000s 0.2611 0.1636 0.4006 10
2010s 0.5092 0.458 0.5456 6

Countries ranked near Bangladesh

  1. 159 Cuba 0.6505 compare
  2. 160 North Korea 0.6287 compare
  3. 161 Sierra Leone 0.5622 compare
  4. 163 Nepal 0.5079 compare
  5. 164 East Timor 0.4569 compare
  6. 165 Solomon Islands 0.427 compare

See the full ranking of 193 places →

More reference data data for Bangladesh

All data for Bangladesh →

Frequently asked questions

What is food ghg emissions by system stage (share of total) - transport in Bangladesh?
Food ghg emissions by system stage (share of total) - transport in Bangladesh was 0.5456 in 2015, according to 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).
What is the highest food ghg emissions by system stage (share of total) - transport recorded in Bangladesh?
The highest recorded value was 0.5456 in 2015.
What is the lowest food ghg emissions by system stage (share of total) - transport recorded in Bangladesh?
The lowest recorded value was 0.0873 in 1990.
How does Bangladesh rank for food ghg emissions by system stage (share of total) - transport?
Bangladesh ranks 162nd out of 193 countries with data for 2015.
Is food ghg emissions by system stage (share of total) - transport rising or falling in Bangladesh?
Over the last ten years it is up 113.2%. The long-run trend across the full record is volatile.
Where does this Bangladesh data come from?
The figures 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 part of Food GHG emissions by system stage (Share of total) - Transport. Statizoid updates them automatically from the source API.

Download this data

CSV · JSON — 26 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

Share, cite or embed this page

Cite this page

Food GHG emissions by system stage (Share of total) - Transport in Bangladesh. 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 01 September 2026, from https://reference.statizoid.com/stat/food-ghg-emissions-by-system-stage-share-of-total-transport/bangladesh/

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/stat/food-ghg-emissions-by-system-stage-share-of-total-transport/bangladesh/">Food GHG emissions by system stage (Share of total) - Transport in Bangladesh</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).