Oranges, Mandarines — Losses in Argentina

Argentina: Oranges, Mandarines — Losses was 121 1000 t in 2023. ▬ Flat

Latest (2023)
121 1000 t
Change on year
up 2.5%
World rank
14th
of 140 countries
All-time high
141 1000 t
in 2011
All-time low
103 1000 t
in 2013
Years of data
14
2010–2023

Oranges, Mandarines — Losses in Argentina, 2010–2023

0501001502010201620232010: 105 1000 t2011: 141 1000 t2012: 110 1000 t2013: 103 1000 t2014: 126 1000 t2015: 125 1000 t2016: 126 1000 t2017: 124 1000 t2018: 120 1000 t2019: 122 1000 t2020: 124 1000 t2021: 124 1000 t2022: 118 1000 t2023: 121 1000 t

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

Analysis

The most recent figure for oranges, mandarines — losses in Argentina is 121 1000 t, measured in 2023.

That represents a change of up 2.5% on the previous year and up 17.5% over ten years.

Over the whole period, oranges, mandarines — losses in Argentina peaked at 141 1000 t in 2011 and was at its lowest, 103 1000 t, in 2013.

Argentina ranks 14th of 140 countries on this measure, in the top 10%.

Averages by decade

DecadeAverage LowestHighest Years
2010s 120.2 1000 t 103 1000 t 141 1000 t 10
2020s 121.75 1000 t 118 1000 t 124 1000 t 4

Countries ranked near Argentina

  1. 11 Pakistan 174 1000 t compare
  2. 12 Viet Nam 157 1000 t compare
  3. 13 Algeria 140 1000 t compare
  4. 15 Greece 106 1000 t compare
  5. 16 Morocco 93 1000 t compare
  6. 17 Colombia 91 1000 t compare

See the full ranking of 171 places →

More agriculture & rural data for Argentina

All data for Argentina →

Frequently asked questions

What is oranges, mandarines — losses in Argentina?
Oranges, mandarines — losses in Argentina was 121 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest oranges, mandarines — losses recorded in Argentina?
The highest recorded value was 141 1000 t in 2011.
What is the lowest oranges, mandarines — losses recorded in Argentina?
The lowest recorded value was 103 1000 t in 2013.
How does Argentina rank for oranges, mandarines — losses?
Argentina ranks 14th out of 140 countries with data for 2023.
Is oranges, mandarines — losses rising or falling in Argentina?
Over the last ten years it is up 17.5%. The long-run trend across the full record is flat.
Where does this Argentina data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Oranges, Mandarines — 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

Indicator
Oranges, Mandarines — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
171 places, 2,341 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.