Sugar cane — Residuals in Peru
Peru: Sugar cane — Residuals was 17 1000 t in 2023. ◆ Volatile
Sugar cane — Residuals in Peru, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, sugar cane — residuals in Peru stood at 17 1000 t. That is the highest value across all 14 years on record.
Over the whole period, sugar cane — residuals in Peru peaked at 17 1000 t in 2023 and was at its lowest, 0 1000 t, in 2010.
Peru ranks 3rd of 170 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Sugar cane — Residuals in Peru, year by year
| Year | 1000 t | Change |
|---|---|---|
| 2010 | 0 1000 t | — |
| 2011 | 0 1000 t | — |
| 2012 | 0 1000 t | — |
| 2013 | 0 1000 t | — |
| 2014 | 0 1000 t | — |
| 2015 | 0 1000 t | — |
| 2016 | 0 1000 t | — |
| 2017 | 0 1000 t | — |
| 2018 | 0 1000 t | — |
| 2019 | 0 1000 t | — |
| 2020 | 0 1000 t | — |
| 2021 | 0 1000 t | — |
| 2022 | 0 1000 t | — |
| 2023 | 17 1000 t | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0 1000 t | 0 1000 t | 0 1000 t | 10 |
| 2020s | 4.25 1000 t | 0 1000 t | 17 1000 t | 4 |
Countries ranked near Peru
- 1 Zimbabwe 2,304 1000 t compare
- 2 Uganda 256 1000 t compare
- 4 Nauru 0 1000 t
- 4 Bhutan 0 1000 t
- 4 Bahrain 0 1000 t
- 4 Qatar 0 1000 t
- 4 Cuba 0 1000 t
- 4 Djibouti 0 1000 t
- 4 Timor-Leste 0 1000 t
- 4 Afghanistan 0 1000 t
- 4 China, Macao SAR 0 1000 t
- 4 Vanuatu 0 1000 t
- 4 Micronesia 0 1000 t
- 4 Saint Kitts and Nevis 0 1000 t
- 4 Jordan 0 1000 t
- 4 Guinea-Bissau 0 1000 t
- 4 French Polynesia 0 1000 t
- 4 Liberia 0 1000 t
- 4 Cabo Verde 0 1000 t
- 4 Seychelles 0 1000 t
- 4 Lesotho 0 1000 t
- 4 North Macedonia 0 1000 t
- 4 Suriname 0 1000 t
- 4 Iceland 0 1000 t
- 4 Iraq 0 1000 t
- 4 Kuwait 0 1000 t
- 4 Argentina 0 1000 t compare
- 4 Israel 0 1000 t
- 4 Azerbaijan 0 1000 t
- 4 Bahamas 0 1000 t
- 4 Grenada 0 1000 t
- 4 Estonia 0 1000 t
- 4 Georgia 0 1000 t
- 4 Algeria 0 1000 t compare
- 4 Paraguay 0 1000 t
- 4 Samoa 0 1000 t
- 4 Ireland 0 1000 t
- 4 Finland 0 1000 t
- 4 China, Hong Kong SAR 0 1000 t
- 4 Chile 0 1000 t
- 4 Saint Lucia 0 1000 t
- 4 Iran (Islamic Republic of) 0 1000 t
- 4 Mauritius 0 1000 t compare
- 4 Barbados 0 1000 t compare
- 4 Luxembourg 0 1000 t
- 4 Lao People's Democratic Republic 0 1000 t compare
- 4 Syrian Arab Republic 0 1000 t
- 4 Bulgaria 0 1000 t
- 4 Latvia 0 1000 t
- 4 Tunisia 0 1000 t
- 4 Belgium 0 1000 t
- 4 Maldives 0 1000 t
- 4 Republic of Moldova 0 1000 t
- 4 Malta 0 1000 t
- 4 Angola 0 1000 t
- 4 Gabon 0 1000 t
- 4 Türkiye 0 1000 t compare
- 4 Belarus 0 1000 t
- 4 Guyana 0 1000 t
- 4 Czechia 0 1000 t
- 4 Viet Nam 0 1000 t
- 4 Saudi Arabia 0 1000 t
- 4 Congo 0 1000 t
- 4 El Salvador 0 1000 t
- 4 Greece 0 1000 t
- 4 Serbia 0 1000 t
- 4 Slovakia 0 1000 t
- 4 Antigua and Barbuda 0 1000 t
- 4 Trinidad and Tobago 0 1000 t
- 4 United Kingdom of Great Britain and Northern Ireland 0 1000 t
- 4 Poland 0 1000 t
- 4 United Arab Emirates 0 1000 t
- 4 Uruguay 0 1000 t compare
- 4 Norway 0 1000 t
- 4 Slovenia 0 1000 t
- 4 Haiti 0 1000 t
- 4 Papua New Guinea 0 1000 t
- 4 Yemen 0 1000 t
- 4 Dominican Republic 0 1000 t
- 4 Denmark 0 1000 t
- 4 Romania 0 1000 t
- 4 Nicaragua 0 1000 t compare
- 4 Panama 0 1000 t compare
- 4 Hungary 0 1000 t
- 4 Guinea 0 1000 t compare
- 4 Oman 0 1000 t
- 4 Malaysia 0 1000 t compare
- 4 Fiji 0 1000 t compare
- 4 Myanmar 0 1000 t
- 4 Austria 0 1000 t
- 4 Netherlands (Kingdom of the) 0 1000 t
- 4 Jamaica 0 1000 t compare
- 4 Costa Rica 0 1000 t compare
- 4 Italy 0 1000 t
- 4 Sweden 0 1000 t
- 4 France 0 1000 t
- 4 Switzerland 0 1000 t
- 4 Canada 0 1000 t
- 4 Malawi 0 1000 t compare
- 4 Ecuador 0 1000 t
- 4 New Zealand 0 1000 t
- 4 Venezuela (Bolivarian Republic of) 0 1000 t compare
- 4 Namibia 0 1000 t
- 4 Cambodia 0 1000 t
- 4 Bangladesh 0 1000 t compare
- 4 Madagascar 0 1000 t
- 4 Polynesia 0 1000 t
- 4 Belize 0 1000 t compare
- 4 Germany 0 1000 t
- 4 Niger 0 1000 t
- 4 Honduras 0 1000 t
- 4 Portugal 0 1000 t
- 4 Bolivia (Plurinational State of) 0 1000 t compare
- 4 Burkina Faso 0 1000 t compare
- 4 Philippines 0 1000 t compare
- 4 Kazakhstan 0 1000 t
- 4 Republic of Korea 0 1000 t
- 4 Zambia 0 1000 t
- 4 Mozambique 0 1000 t compare
- 4 India 0 1000 t compare
- 4 Australia 0 1000 t compare
- 4 Morocco 0 1000 t compare
- 4 Mexico 0 1000 t
- 4 Guatemala 0 1000 t compare
- 4 Botswana 0 1000 t
- 4 China, Taiwan Province of 0 1000 t compare
- 4 Brazil 0 1000 t compare
- 4 Cameroon 0 1000 t
- 4 Sri Lanka 0 1000 t
- 4 Rwanda 0 1000 t compare
- 4 Senegal 0 1000 t
- 4 Ukraine 0 1000 t
- 4 Indonesia 0 1000 t compare
- 4 Thailand 0 1000 t compare
- 4 Ghana 0 1000 t compare
- 4 Côte d'Ivoire 0 1000 t
- 4 Democratic Republic of the Congo 0 1000 t compare
- 4 Spain 0 1000 t compare
- 4 China, mainland 0 1000 t compare
- 4 Russian Federation 0 1000 t compare
- 4 Egypt 0 1000 t
- 4 Nigeria 0 1000 t compare
- 4 South Africa 0 1000 t
- 4 Nepal 0 1000 t compare
- 4 United Republic of Tanzania 0 1000 t
- 4 Australia and New Zealand 0 1000 t compare
- 4 Kenya 0 1000 t compare
- 4 Melanesia 0 1000 t compare
- 4 China 0 1000 t compare
- 4 Caribbean 0 1000 t compare
- 4 Nauru 0 1000 t
- 4 East Timor 0 1000 t
- 4 Laos 0 1000 t compare
- 4 Syria 0 1000 t
- 4 Moldova 0 1000 t
- 4 Turkey 0 1000 t compare
- 4 Vietnam 0 1000 t
- 4 United Kingdom 0 1000 t
- 4 Cote d'Ivoire 0 1000 t
- 4 United States 0 1000 t compare
- 4 Russia 0 1000 t compare
More agriculture & rural data for Peru
- Agriculture, forestry, and fishing, value added (current US$), annual 12.59 % change on previous year (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0747 current US$ per US$ of GDP (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 637.02 current US$ per person (2024)
- Rural population, annual growth rate -1.72 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.144 units per person (2025)
- Share of GDP from agriculture 7.5% (2024)
- Agriculture as a share of GDP vs. GDP per capita 7.5% (2024)
- Agricultural raw materials exports 0.6% (2024)
- Agricultural raw materials imports 1.2% (2024)
Frequently asked questions
- What is sugar cane — residuals in Peru?
- Sugar cane — residuals in Peru was 17 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar cane — residuals recorded in Peru?
- The highest recorded value was 17 1000 t in 2023.
- What is the lowest sugar cane — residuals recorded in Peru?
- The lowest recorded value was 0 1000 t in 2010.
- How does Peru rank for sugar cane — residuals?
- Peru ranks 3rd out of 170 countries with data for 2023.
- Where does this Peru data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar cane — Residuals. Statizoid updates them automatically from the source API.
Download this data
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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.