Cottonseed — Losses in Bangladesh

Bangladesh: Cottonseed — Losses was 734 t in 2013. ◆ Volatile

Latest (2013)
734 t
Change on year
up 6.1%
World rank
15th
of 35 countries
All-time high
1,016 t
in 1993
All-time low
28 t
in 1976
Years of data
53
1961–2013

Cottonseed — Losses in Bangladesh, 1961–2013

02004006008001.0k196119872013

Source: Food and Agriculture Organization of the United Nations. Measured in t.

Analysis

The most recent figure for cottonseed — losses in Bangladesh is 734 t, measured in 2013.

Compared with earlier readings it is up 6.1% on the previous year and up 22.7% over ten years.

Over the whole period, cottonseed — losses in Bangladesh peaked at 1,016 t in 1993 and was at its lowest, 28 t, in 1976.

That places Bangladesh 15th out of 35 countries with data for 2013, putting it in the middle of the range.

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

Averages by decade

DecadeAverage LowestHighest Years
1960s 114 t 92 t 122 t 9
1970s 44.8 t 28 t 68 t 10
1980s 308.4 t 70 t 546 t 10
1990s 602.1 t 497 t 1,016 t 10
2000s 603.8 t 480 t 716 t 10
2010s 621 t 480 t 734 t 4

Countries ranked near Bangladesh

  1. 12 Spain 1,538 t compare
  2. 13 Egypt 1,338 t compare
  3. 14 Kyrgyzstan 902 t compare
  4. 16 Kenya 492 t compare
  5. 17 Colombia 356 t compare
  6. 18 Niger 321 t compare

See the full ranking of 62 places →

More agriculture & rural data for Bangladesh

All data for Bangladesh →

Frequently asked questions

What is cottonseed — losses in Bangladesh?
Cottonseed — losses in Bangladesh was 734 t in 2013, according to Food and Agriculture Organization of the United Nations.
What is the highest cottonseed — losses recorded in Bangladesh?
The highest recorded value was 1,016 t in 1993.
What is the lowest cottonseed — losses recorded in Bangladesh?
The lowest recorded value was 28 t in 1976.
How does Bangladesh rank for cottonseed — losses?
Bangladesh ranks 15th out of 35 countries with data for 2013.
Is cottonseed — losses rising or falling in Bangladesh?
Over the last ten years it is up 22.7%. The long-run trend across the full record is volatile.
Where does this Bangladesh data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Cottonseed — Losses. Statizoid updates them automatically from the source API.

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CSV · JSON — 53 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

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Cottonseed — Losses in Bangladesh. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 August 2026, from https://agriculture.statizoid.com/stat/cottonseed-losses/bangladesh/

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About this data

Indicator
Cottonseed — Losses
Unit
t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
62 places, 3,148 data points, 1961–2013
Last refreshed

Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.