Sugar beet — Stock Variation in Pakistan
Pakistan: Sugar beet — Stock Variation was 1 1000 t in 2023. ◆ Volatile
Sugar beet — Stock Variation in Pakistan, 2011–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, sugar beet — stock variation in Pakistan stood at 1 1000 t. That is the highest value across all 13 years on record.
Compared with earlier readings it is unchanged over five years.
Over the whole period, sugar beet — stock variation in Pakistan peaked at 1 1000 t in 2015 and was at its lowest, 0 1000 t, in 2011.
Pakistan ranks 18th of 121 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.5556 1000 t | 0 1000 t | 1 1000 t | 9 |
| 2020s | 1 1000 t | 1 1000 t | 1 1000 t | 4 |
Countries ranked near Pakistan
- 15 Kazakhstan 73 1000 t compare
- 16 Belgium 28 1000 t compare
- 17 Italy 13 1000 t compare
- 18 Luxembourg 1 1000 t compare
- 20 Marshall Islands 0 1000 t compare
- 20 Bahrain 0 1000 t compare
- 20 Kiribati 0 1000 t compare
- 20 Afghanistan 0 1000 t compare
- 20 Libya 0 1000 t compare
- 20 Solomon Islands 0 1000 t compare
- 20 Albania 0 1000 t compare
- 20 Micronesia 0 1000 t compare
- 20 Uzbekistan 0 1000 t compare
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- 20 North Macedonia 0 1000 t compare
- 20 Argentina 0 1000 t compare
- 20 Israel 0 1000 t compare
- 20 Bosnia and Herzegovina 0 1000 t compare
- 20 Montenegro 0 1000 t compare
- 20 Kyrgyzstan 0 1000 t compare
- 20 Bahamas 0 1000 t compare
- 20 Iceland 0 1000 t compare
- 20 Croatia 0 1000 t compare
- 20 Estonia 0 1000 t compare
- 20 Gambia 0 1000 t compare
- 20 Algeria 0 1000 t compare
- 20 Iraq 0 1000 t compare
- 20 Finland 0 1000 t compare
- 20 Georgia 0 1000 t compare
- 20 Ireland 0 1000 t compare
- 20 Kuwait 0 1000 t compare
- 20 Azerbaijan 0 1000 t compare
- 20 China, Hong Kong SAR 0 1000 t compare
- 20 Tunisia 0 1000 t compare
- 20 Bulgaria 0 1000 t compare
- 20 Samoa 0 1000 t compare
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- 20 Lithuania 0 1000 t compare
- 20 Latvia 0 1000 t compare
- 20 Eswatini 0 1000 t compare
- 20 Czechia 0 1000 t compare
- 20 Malta 0 1000 t compare
- 20 Greece 0 1000 t compare
- 20 Slovakia 0 1000 t compare
- 20 Norway 0 1000 t compare
- 20 Uruguay 0 1000 t compare
- 20 Slovenia 0 1000 t compare
- 20 Saudi Arabia 0 1000 t compare
- 20 Congo 0 1000 t compare
- 20 United Arab Emirates 0 1000 t compare
- 20 Romania 0 1000 t compare
- 20 Fiji 0 1000 t compare
- 20 Hungary 0 1000 t compare
- 20 Cyprus 0 1000 t compare
- 20 Oman 0 1000 t compare
- 20 Lebanon 0 1000 t compare
- 20 Jamaica 0 1000 t compare
- 20 Yemen 0 1000 t compare
- 20 Denmark 0 1000 t compare
- 20 Costa Rica 0 1000 t compare
- 20 Canada 0 1000 t compare
- 20 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 20 Malaysia 0 1000 t compare
- 20 Niger 0 1000 t compare
- 20 Germany 0 1000 t compare
- 20 Portugal 0 1000 t compare
- 20 Ecuador 0 1000 t compare
- 20 Sweden 0 1000 t compare
- 20 Zambia 0 1000 t compare
- 20 New Zealand 0 1000 t compare
- 20 Australia 0 1000 t compare
- 20 Namibia 0 1000 t compare
- 20 Polynesia 0 1000 t compare
- 20 Guatemala 0 1000 t compare
- 20 Peru 0 1000 t compare
- 20 Zimbabwe 0 1000 t compare
- 20 Rwanda 0 1000 t compare
- 20 Republic of Korea 0 1000 t compare
- 20 India 0 1000 t compare
- 20 Ethiopia 0 1000 t compare
- 20 Mexico 0 1000 t compare
- 20 Botswana 0 1000 t compare
- 20 China, Taiwan Province of 0 1000 t compare
- 20 Brazil 0 1000 t compare
- 20 Sri Lanka 0 1000 t compare
- 20 Senegal 0 1000 t compare
- 20 Thailand 0 1000 t compare
- 20 Indonesia 0 1000 t compare
- 20 Ghana 0 1000 t compare
- 20 Côte d'Ivoire 0 1000 t compare
- 20 Colombia 0 1000 t compare
- 20 Uganda 0 1000 t compare
- 20 Nepal 0 1000 t compare
- 20 United Republic of Tanzania 0 1000 t compare
- 20 Australia and New Zealand 0 1000 t compare
- 20 Kenya 0 1000 t compare
- 20 Melanesia 0 1000 t compare
- 20 Caribbean 0 1000 t compare
More agriculture & rural data for Pakistan
- Agriculture share gdp 23.02 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 23.02 (2025)
- Agricultural raw materials exports 1.6% (2024)
- Agricultural raw materials imports 4.3% (2024)
- Rural population 60.5% (2025)
- Rural population growth 1.0% (2025)
- Rural population 154.34 million (2025)
- Agriculture, forestry, and fishing, value added 23.0% (2025)
- Agriculture, forestry, and fishing, value added 93.77 billion current US$ (2025)
- Bananas — Production 311,166 t (2024)
Frequently asked questions
- What is sugar beet — stock variation in Pakistan?
- Sugar beet — stock variation in Pakistan was 1 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar beet — stock variation recorded in Pakistan?
- The highest recorded value was 1 1000 t in 2015.
- What is the lowest sugar beet — stock variation recorded in Pakistan?
- The lowest recorded value was 0 1000 t in 2011.
- How does Pakistan rank for sugar beet — stock variation?
- Pakistan ranks 18th out of 121 countries with data for 2023.
- Where does this Pakistan data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar beet — Stock Variation. Statizoid updates them automatically from the source API.
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About this data
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.