Starchy Roots — Losses in Angola

Angola: Starchy Roots — Losses was 978 1000 t in 2023. ▼ Falling

Latest (2023)
978 1000 t
Change on year
up 33.4%
World rank
18th
of 181 countries
All-time high
2,882 1000 t
in 2013
All-time low
733 1000 t
in 2022
Years of data
14
2010–2023

Starchy Roots — Losses in Angola, 2010–2023

5001.0k1.5k2.0k2.5k3.0k2010201620232010: 2.5k 1000 t2011: 2.5k 1000 t2012: 1.9k 1000 t2013: 2.9k 1000 t2014: 1.5k 1000 t2015: 1.5k 1000 t2016: 1.5k 1000 t2017: 1.6k 1000 t2018: 1.6k 1000 t2019: 1.7k 1000 t2020: 950 1000 t2021: 827 1000 t2022: 733 1000 t2023: 978 1000 t

Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.

Analysis

In 2023, starchy roots — losses in Angola stood at 978 1000 t.

The figure is up 33.4% on the previous year and down 66.1% over ten years.

Over the whole period, starchy roots — losses in Angola peaked at 2,882 1000 t in 2013 and was at its lowest, 733 1000 t, in 2022.

Angola ranks 18th of 181 countries on this measure, in the top 10%.

The long-run direction has been consistently falling across the 14 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2010s 1,906 1000 t 1,472 1000 t 2,882 1000 t 10
2020s 872 1000 t 733 1000 t 978 1000 t 4

Countries ranked near Angola

  1. 15 France 1,262 1000 t compare
  2. 16 Malawi 1,007 1000 t compare
  3. 17 Côte d'Ivoire 979 1000 t compare
  4. 19 Viet Nam 886 1000 t compare
  5. 20 Lao People's Democratic Republic 845 1000 t compare
  6. 21 Bangladesh 813 1000 t compare

See the full ranking of 212 places →

More agriculture & rural data for Angola

All data for Angola →

Frequently asked questions

What is starchy roots — losses in Angola?
Starchy roots — losses in Angola was 978 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest starchy roots — losses recorded in Angola?
The highest recorded value was 2,882 1000 t in 2013.
What is the lowest starchy roots — losses recorded in Angola?
The lowest recorded value was 733 1000 t in 2022.
How does Angola rank for starchy roots — losses?
Angola ranks 18th out of 181 countries with data for 2023.
Is starchy roots — losses rising or falling in Angola?
Over the last ten years it is down 66.1%. The long-run trend across the full record is falling.
Where does this Angola data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Starchy Roots — Losses. Statizoid updates them automatically from the source API.

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Starchy Roots — Losses in Angola. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 15 August 2026, from https://agriculture.statizoid.com/stat/starchy-roots-losses/angola/

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About this data

Indicator
Starchy Roots — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
212 places, 2,879 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.