Fruits - Excluding Wine — Losses in Djibouti
Djibouti: Fruits - Excluding Wine — Losses was 1 1000 t in 2023. ◆ Volatile
Fruits - Excluding Wine — Losses in Djibouti, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
The most recent figure for fruits - excluding wine — losses in Djibouti is 1 1000 t, measured in 2023. That is the highest value across all 14 years on record.
That represents a change of unchanged over five years.
Over the whole period, fruits - excluding wine — losses in Djibouti peaked at 1 1000 t in 2016 and was at its lowest, 0 1000 t, in 2010.
That places Djibouti 142nd out of 163 countries with data for 2023, putting it in the bottom 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 | 0.4 1000 t | 0 1000 t | 1 1000 t | 10 |
| 2020s | 1 1000 t | 1 1000 t | 1 1000 t | 4 |
Countries ranked near Djibouti
- 142 Tonga 1 1000 t compare
- 142 Kiribati 1 1000 t compare
- 142 Lesotho, Kingdom of 1 1000 t compare
- 142 Vanuatu 1 1000 t compare
- 142 Gambia 1 1000 t compare
- 142 Maldives 1 1000 t compare
- 142 French Polynesia 1 1000 t compare
- 142 Estonia 1 1000 t compare
- 142 New Caledonia 1 1000 t compare
- 142 Antigua and Barbuda 1 1000 t compare
- 142 Mauritius 1 1000 t compare
- 142 Malta 1 1000 t compare
- 142 Botswana 1 1000 t compare
More agriculture & rural data for Djibouti
- Agriculture, forestry, and fishing, value added (current US$), annual 0.7373 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0227 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 88.73 current US$ per person (2025)
- Rural population, annual growth rate 1.05 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.2702 units per person (2025)
- Agriculture share gdp 2.27 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 2.27 (2025)
- Agricultural raw materials exports 0.2% (2023)
- Agricultural raw materials imports 1.1% (2023)
Frequently asked questions
- What is fruits - excluding wine — losses in Djibouti?
- Fruits - excluding wine — losses in Djibouti was 1 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest fruits - excluding wine — losses recorded in Djibouti?
- The highest recorded value was 1 1000 t in 2016.
- What is the lowest fruits - excluding wine — losses recorded in Djibouti?
- The lowest recorded value was 0 1000 t in 2010.
- How does Djibouti rank for fruits - excluding wine — losses?
- Djibouti ranks 142nd out of 163 countries with data for 2023.
- Where does this Djibouti data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Fruits - Excluding Wine — 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.