Olives (including preserved) — Stock Variation 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
75
Highest
90 1000 t
Portugal
Lowest
-134 1000 t
Morocco
Median
0 1000 t
Years covered
14
2010–2023
Data points
2,764

What the numbers show

Olives (including preserved) — Stock Variation is currently reported for 75 countries. The highest value is 90 1000 t in Portugal; the lowest is -134 1000 t in Morocco.

The median across all reporting countries is 0 1000 t, and the mean is -0.5867 1000 t.

Over the past decade 20 countries rose and 18 fell. The largest increase was in Portugal (up 1,700.0%), and the largest decrease in United Arab Emirates (down 400.0%).

Olives (including preserved) — Stock Variation: full country ranking

#Country LatestYear 10-year changeTrend
1 Portugal 90 1000 t 2023 up 1,700.0% volatile
2 Czechia 7 1000 t 2023 — rising
3 Algeria 5 1000 t 2023 down 85.3% volatile
3 United Kingdom 5 1000 t 2023 — volatile
3 United Kingdom of Great Britain and Northern Ireland 5 1000 t 2023 — volatile
6 Libya 4 1000 t 2023 unchanged volatile
6 Iran (Islamic Republic of) 4 1000 t 2023 unchanged volatile
8 Albania 3 1000 t 2023 — volatile
8 Italy 3 1000 t 2023 up 103.6% volatile
8 Sweden 3 1000 t 2023 — volatile
11 Switzerland 2 1000 t 2023 up 100.0% rising
11 Germany 2 1000 t 2023 up 133.3% volatile
11 Hungary 2 1000 t 2023 unchanged volatile
11 Norway 2 1000 t 2023 — volatile
15 Armenia 1 1000 t 2023 unchanged volatile
15 China 1 1000 t 2023 — volatile
15 Denmark 1 1000 t 2023 up 150.0% volatile
15 Spain 1 1000 t 2023 down 90.0% volatile
15 Ireland 1 1000 t 2023 — volatile
15 Lithuania 1 1000 t 2023 — rising
15 Latvia 1 1000 t 2023 up 200.0% volatile
15 North Macedonia 1 1000 t 2023 — volatile
15 Slovenia 1 1000 t 2023 — rising
15 Uzbekistan 1 1000 t 2023 — volatile
15 China, Taiwan Province of 1 1000 t 2023 — volatile
26 Angola 0 1000 t 2023 — volatile
26 Argentina 0 1000 t 2023 up 100.0% volatile
26 Austria 0 1000 t 2023 up 100.0% volatile
26 Belgium 0 1000 t 2023 — volatile
26 Bulgaria 0 1000 t 2023 down 100.0% volatile
26 Belarus 0 1000 t 2023 down 100.0% volatile
26 Canada 0 1000 t 2023 up 100.0% volatile
26 Chile 0 1000 t 2023 up 100.0% volatile
26 Colombia 0 1000 t 2023 — volatile
26 Egypt 0 1000 t 2023 up 100.0% flat
26 Estonia 0 1000 t 2023 — volatile
26 Finland 0 1000 t 2023 up 100.0% volatile
26 Greece 0 1000 t 2023 up 100.0% volatile
26 Croatia 0 1000 t 2023 — volatile
26 India 0 1000 t 2023 — volatile
26 Israel 0 1000 t 2023 — volatile
26 Jordan 0 1000 t 2023 up 100.0% volatile
26 Kazakhstan 0 1000 t 2023 — flat
26 Kuwait 0 1000 t 2023 up 100.0% volatile
26 Lebanon 0 1000 t 2023 down 100.0% volatile
26 Luxembourg 0 1000 t 2023 down 100.0% volatile
26 Mexico 0 1000 t 2023 — volatile
26 Montenegro 0 1000 t 2023 — volatile
26 New Zealand 0 1000 t 2023 up 100.0% volatile
26 Oman 0 1000 t 2023 up 100.0% volatile
26 Panama 0 1000 t 2023 — volatile
26 Peru 0 1000 t 2023 up 100.0% volatile
26 Poland 0 1000 t 2023 — volatile
26 Romania 0 1000 t 2023 down 100.0% volatile
26 Russia 0 1000 t 2023 down 100.0% volatile
26 Saudi Arabia 0 1000 t 2023 — volatile
26 El Salvador 0 1000 t 2023 — volatile
26 Slovakia 0 1000 t 2023 — volatile
26 Syria 0 1000 t 2023 down 100.0% volatile
26 Tunisia 0 1000 t 2023 down 100.0% volatile
26 Ukraine 0 1000 t 2023 down 100.0% flat
26 United States 0 1000 t 2023 up 100.0% volatile
26 Yemen 0 1000 t 2023 — volatile
26 South Africa 0 1000 t 2023 — volatile
26 Republic of Korea 0 1000 t 2023 down 100.0% volatile
26 Russian Federation 0 1000 t 2023 down 100.0% volatile
26 Syrian Arab Republic 0 1000 t 2023 down 100.0% volatile
26 Venezuela (Bolivarian Republic of) 0 1000 t 2023 down 100.0% flat
26 Australia and New Zealand 0 1000 t 2023 up 100.0% volatile
26 Netherlands (Kingdom of the) 0 1000 t 2023 down 100.0% volatile
175 United Arab Emirates -3 1000 t 2023 down 400.0% volatile
176 Brazil -9 1000 t 2023 down 164.3% volatile
177 Turkey -23 1000 t 2023 — volatile
177 Türkiye -23 1000 t 2023 — volatile
179 Morocco -134 1000 t 2023 — 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

Olives (including preserved) — Stock Variation by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/olives-including-preserved-stock-variation/

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/olives-including-preserved-stock-variation/">Olives (including preserved) — Stock Variation by country</a> — Statizoid

About this data

Indicator
Olives (including preserved) — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
209 places, 2,764 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.