Tea (including mate) — Losses in Colombia
Colombia: Tea (including mate) — Losses was 0 1000 t in 2023. ▬ Flat
Tea (including mate) — Losses in Colombia, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for tea (including mate) — losses in Colombia is 0 1000 t, measured in 2023. That is the highest value across all 14 years on record.
Over the whole period, tea (including mate) — losses in Colombia peaked at 0 1000 t in 2010 and was at its lowest, 0 1000 t, in 2010.
Colombia ranks 28th of 53 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0 1000 t | 0 1000 t | 0 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near Colombia
- 28 Bhutan 0 1000 t compare
- 28 Qatar 0 1000 t compare
- 28 Bahrain 0 1000 t compare
- 28 Montenegro 0 1000 t compare
- 28 Seychelles 0 1000 t compare
- 28 Georgia 0 1000 t compare
- 28 Azerbaijan 0 1000 t compare
- 28 Panama 0 1000 t compare
- 28 Mauritius 0 1000 t compare
- 28 China, Hong Kong SAR 0 1000 t compare
- 28 Portugal 0 1000 t compare
- 28 El Salvador 0 1000 t compare
- 28 Russian Federation 0 1000 t compare
- 28 Madagascar 0 1000 t compare
- 28 Zambia 0 1000 t compare
- 28 Mozambique 0 1000 t compare
- 28 Democratic Republic of the Congo 0 1000 t compare
- 28 Bolivia (Plurinational State of) 0 1000 t compare
- 28 Ecuador 0 1000 t compare
- 28 Zimbabwe 0 1000 t compare
- 28 Republic of Korea 0 1000 t compare
- 28 Peru 0 1000 t compare
- 28 Spain 0 1000 t compare
- 28 Brazil 0 1000 t compare
- 28 Guatemala 0 1000 t compare
More agriculture & rural data for Colombia
- Agriculture share gdp 9.95 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 9.95 (2025)
- Agricultural raw materials exports 5.1% (2024)
- Agricultural raw materials imports 0.8% (2024)
- Rural population 21.2% (2025)
- Rural population growth -0.2% (2025)
- Rural population 11.34 million (2025)
- Agriculture, forestry, and fishing, value added 9.9% (2025)
- Agriculture, forestry, and fishing, value added 45.49 billion current US$ (2025)
- Bananas — Production 2.64 million t (2024)
Frequently asked questions
- What is tea (including mate) — losses in Colombia?
- Tea (including mate) — losses in Colombia was 0 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest tea (including mate) — losses recorded in Colombia?
- The highest recorded value was 0 1000 t in 2010.
- What is the lowest tea (including mate) — losses recorded in Colombia?
- The lowest recorded value was 0 1000 t in 2010.
- How does Colombia rank for tea (including mate) — losses?
- Colombia ranks 28th out of 53 countries with data for 2023.
- Where does this Colombia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Tea (including mate) — Losses. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.