Sunflower seed — Losses by country

A 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...

Countries reporting
68
Highest
1,187 1000 t
Russia
Lowest
0 1000 t
Kenya
Median
3 1000 t
Years covered
14
2010–2023
Data points
1,471

What the numbers show

Sunflower seed — Losses is currently reported for 68 countries. The highest value is 1,187 1000 t in Russia; the lowest is 0 1000 t in Kenya.

The median across all reporting countries is 3 1000 t, and the mean is 50.32 1000 t.

Over the past decade 25 countries rose and 23 fell. The largest increase was in Zimbabwe (up 200.0%), and the largest decrease in Ethiopia (down 100.0%).

Sunflower seed — Losses: full country ranking

#Country LatestYear 10-year changeTrend
1 Russia 1,187 1000 t 2023 up 124.4% rising
1 Russian Federation 1,187 1000 t 2023 up 124.4% rising
3 China 103 1000 t 2023 up 25.6% rising
4 China, mainland 102 1000 t 2023 up 24.4% rising
5 United Republic of Tanzania 88 1000 t 2023 up 49.2% rising
6 Bulgaria 80 1000 t 2023 up 23.1% falling
7 Turkey 79 1000 t 2023 up 49.1% rising
7 Türkiye 79 1000 t 2023 up 49.1% rising
9 France 68 1000 t 2023 up 9.7% flat
10 United States 66 1000 t 2023 up 4.8% flat
11 Spain 59 1000 t 2023 down 7.8% flat
12 South Africa 52 1000 t 2023 up 23.8% rising
12 Argentina 52 1000 t 2023 up 62.5% rising
14 Kazakhstan 37 1000 t 2023 up 164.3% rising
15 India 18 1000 t 2023 down 30.8% falling
16 Serbia 16 1000 t 2023 down 59.0% rising
17 Pakistan 11 1000 t 2023 down 38.9% volatile
17 Hungary 11 1000 t 2023 down 21.4% falling
19 Myanmar 10 1000 t 2023 down 58.3% falling
20 Moldova 9 1000 t 2023 up 28.6% rising
20 Republic of Moldova 9 1000 t 2023 up 28.6% rising
22 Uganda 8 1000 t 2023 up 14.3% rising
23 Brazil 7 1000 t 2023 down 12.5% falling
24 Canada 6 1000 t 2023 up 50.0% rising
25 Bolivia (Plurinational State of) 5 1000 t 2023 down 28.6% volatile
25 Ukraine 5 1000 t 2023 down 97.8% volatile
25 Italy 5 1000 t 2023 unchanged falling
28 Morocco 4 1000 t 2023 up 33.3% falling
28 Greece 4 1000 t 2023 down 76.5% volatile
28 Australia and New Zealand 4 1000 t 2023 up 33.3% rising
28 Australia 4 1000 t 2023 up 33.3% rising
28 Poland 4 1000 t 2023 — volatile
33 Iran (Islamic Republic of) 3 1000 t 2023 down 40.0% falling
33 Zimbabwe 3 1000 t 2023 up 200.0% volatile
33 Romania 3 1000 t 2023 down 89.7% volatile
33 Paraguay 3 1000 t 2023 down 66.7% volatile
37 Thailand 2 1000 t 2023 up 100.0% rising
37 Uzbekistan 2 1000 t 2023 down 33.3% rising
37 Zambia 2 1000 t 2023 down 33.3% falling
37 Austria 2 1000 t 2023 up 100.0% rising
37 Slovakia 2 1000 t 2023 down 33.3% falling
37 Portugal 2 1000 t 2023 up 100.0% volatile
37 Czechia 2 1000 t 2023 up 100.0% rising
37 Egypt 2 1000 t 2023 down 60.0% falling
45 Angola 1 1000 t 2023 unchanged flat
45 Azerbaijan 1 1000 t 2023 unchanged rising
45 Netherlands (Kingdom of the) 1 1000 t 2023 unchanged rising
45 Chile 1 1000 t 2023 unchanged volatile
45 Germany 1 1000 t 2023 unchanged flat
45 Croatia 1 1000 t 2023 down 75.0% volatile
45 Israel 1 1000 t 2023 unchanged volatile
45 Mozambique 1 1000 t 2023 unchanged falling
45 Uruguay 1 1000 t 2023 — volatile
45 Tunisia 1 1000 t 2023 unchanged volatile
45 Tajikistan 1 1000 t 2023 unchanged rising
45 Syria 1 1000 t 2023 unchanged volatile
45 Malawi 1 1000 t 2023 unchanged flat
45 Syrian Arab Republic 1 1000 t 2023 unchanged volatile
45 Mexico 1 1000 t 2023 — volatile
60 North Macedonia 0 1000 t 2023 — volatile
60 Ethiopia 0 1000 t 2023 down 100.0% volatile
60 Switzerland 0 1000 t 2023 — volatile
60 Botswana 0 1000 t 2023 — volatile
60 Belarus 0 1000 t 2023 down 100.0% volatile
60 Georgia 0 1000 t 2023 down 100.0% volatile
60 Kyrgyzstan 0 1000 t 2023 down 100.0% volatile
60 Iraq 0 1000 t 2023 — volatile
60 Kenya 0 1000 t 2023 down 100.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

Share, cite or embed this page

Cite this page

Sunflower seed — Losses by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/sunflower-seed-losses/

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://agriculture.statizoid.com/stat/sunflower-seed-losses/">Sunflower seed — Losses by country</a> — Statizoid

About this data

Indicator
Sunflower seed — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
111 places, 1,471 data points, 2010–2023
Last refreshed

A 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 capita 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.