Fruits - Excluding Wine — Losses in Peru

Peru: Fruits - Excluding Wine — Losses was 927 1000 t in 2023. ▲ Rising

Latest (2023)
927 1000 t
Change on year
up 0.1%
World rank
14th
of 181 countries
All-time high
927 1000 t
in 2023
All-time low
564 1000 t
in 2010
Years of data
14
2010–2023

Fruits - Excluding Wine — Losses in Peru, 2010–2023

02004006008001.0k2010201620232010: 564 1000 t2011: 565 1000 t2012: 567 1000 t2013: 638 1000 t2014: 668 1000 t2015: 675 1000 t2016: 713 1000 t2017: 702 1000 t2018: 757 1000 t2019: 798 1000 t2020: 851 1000 t2021: 887 1000 t2022: 926 1000 t2023: 927 1000 t

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

Analysis

Peru recorded 927 1000 t for fruits - excluding wine — losses in 2023. That is the highest value across all 14 years on record.

That represents a change of up 0.1% on the previous year and up 45.3% over ten years.

Over the whole period, fruits - excluding wine — losses in Peru peaked at 927 1000 t in 2023 and was at its lowest, 564 1000 t, in 2010.

Peru ranks 14th of 181 countries on this measure, in the top 10%.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 664.7 1000 t 564 1000 t 798 1000 t 10
2020s 897.75 1000 t 851 1000 t 927 1000 t 4

Countries ranked near Peru

  1. 11 United Republic of Tanzania 970 1000 t compare
  2. 12 Thailand 949 1000 t compare
  3. 13 Colombia 939 1000 t compare
  4. 15 Viet Nam 876 1000 t compare
  5. 16 Spain 859 1000 t compare
  6. 17 Caribbean 824 1000 t compare

See the full ranking of 212 places →

More agriculture & rural data for Peru

All data for Peru →

Frequently asked questions

What is fruits - excluding wine — losses in Peru?
Fruits - excluding wine — losses in Peru was 927 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest fruits - excluding wine — losses recorded in Peru?
The highest recorded value was 927 1000 t in 2023.
What is the lowest fruits - excluding wine — losses recorded in Peru?
The lowest recorded value was 564 1000 t in 2010.
How does Peru rank for fruits - excluding wine — losses?
Peru ranks 14th out of 181 countries with data for 2023.
Is fruits - excluding wine — losses rising or falling in Peru?
Over the last ten years it is up 45.3%. The long-run trend across the full record is rising.
Where does this Peru 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

Indicator
Fruits - Excluding Wine — 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, 2,883 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.