Starchy Roots — Stock Variation in Angola

Angola: Starchy Roots — Stock Variation was -67 1000 t in 2023. ◆ Volatile

Latest (2023)
-67 1000 t
Change on year
up 37.4%
World rank
172nd
of 182 countries
All-time high
558 1000 t
in 2013
All-time low
-310 1000 t
in 2012
Years of data
14
2010–2023

Starchy Roots — Stock Variation in Angola, 2010–2023

-400-20002004006002010201620232010: 0 1000 t2011: 0 1000 t2012: -310 1000 t2013: 558 1000 t2014: 120 1000 t2015: 145 1000 t2016: 50 1000 t2017: -40 1000 t2018: -50 1000 t2019: -222 1000 t2020: -32 1000 t2021: 315 1000 t2022: -107 1000 t2023: -67 1000 t

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

Analysis

In 2023, starchy roots — stock variation in Angola stood at -67 1000 t.

Compared with earlier readings it is up 37.4% on the previous year and down 112.0% over ten years.

Over the whole period, starchy roots — stock variation in Angola peaked at 558 1000 t in 2013 and was at its lowest, -310 1000 t, in 2012.

Angola ranks 172nd of 182 countries on this measure, in the bottom quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
2010s 25.1 1000 t -310 1000 t 558 1000 t 10
2020s 27.25 1000 t -107 1000 t 315 1000 t 4

Countries ranked near Angola

  1. 169 Azerbaijan -43 1000 t compare
  2. 170 Cambodia -56 1000 t compare
  3. 170 Republic of Korea -56 1000 t compare
  4. 173 Kyrgyzstan -77 1000 t compare
  5. 174 Madagascar -80 1000 t compare
  6. 175 Chile -83 1000 t compare

See the full ranking of 213 places →

More agriculture & rural data for Angola

All data for Angola →

Frequently asked questions

What is starchy roots — stock variation in Angola?
Starchy roots — stock variation in Angola was -67 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest starchy roots — stock variation recorded in Angola?
The highest recorded value was 558 1000 t in 2013.
What is the lowest starchy roots — stock variation recorded in Angola?
The lowest recorded value was -310 1000 t in 2012.
How does Angola rank for starchy roots — stock variation?
Angola ranks 172nd out of 182 countries with data for 2023.
Is starchy roots — stock variation rising or falling in Angola?
Over the last ten years it is down 112.0%. The long-run trend across the full record is volatile.
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 — Stock Variation. 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

Indicator
Starchy Roots — Stock Variation
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
213 places, 2,901 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.