Dates — Losses in Southern Asia

Southern Asia: Dates — Losses was 129 1000 t in 2023. ▲ Rising

Latest (2023)
129 1000 t
Change on year
up 5.7%
Rank
7th
of 28 groups
All-time high
162 1000 t
in 2018
All-time low
122 1000 t
in 2022
Years of data
14
2010–2023

Dates — Losses in Southern Asia, 2010–2023

0501001502010201620232010: 126 1000 t2011: 130 1000 t2012: 133 1000 t2013: 127 1000 t2014: 129 1000 t2015: 128 1000 t2016: 143 1000 t2017: 145 1000 t2018: 162 1000 t2019: 161 1000 t2020: 158 1000 t2021: 155 1000 t2022: 122 1000 t2023: 129 1000 t

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

Analysis

The most recent figure for dates — losses in Southern Asia is 129 1000 t, measured in 2023.

The figure is up 5.7% on the previous year and up 1.6% over ten years.

Over the whole period, dates — losses in Southern Asia peaked at 162 1000 t in 2018 and was at its lowest, 122 1000 t, in 2022.

That places Southern Asia 7th out of 28 groups with data for 2023, putting it in the top quarter.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 138.4 1000 t 126 1000 t 162 1000 t 10
2020s 141 1000 t 122 1000 t 158 1000 t 4

Countries ranked near Southern Asia

  1. 4 Algeria 53 1000 t compare
  2. 5 Oman 41 1000 t compare
  3. 6 United Arab Emirates 24 1000 t compare
  4. 7 China, mainland 20 1000 t compare
  5. 7 China 20 1000 t compare
  6. 9 Tunisia 19 1000 t compare
  7. 9 Saudi Arabia 19 1000 t compare

See the full ranking of 82 places →

More agriculture & rural data for Southern Asia

All data for Southern Asia →

Frequently asked questions

What is dates — losses in Southern Asia?
Dates — losses in Southern Asia was 129 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest dates — losses recorded in Southern Asia?
The highest recorded value was 162 1000 t in 2018.
What is the lowest dates — losses recorded in Southern Asia?
The lowest recorded value was 122 1000 t in 2022.
How does Southern Asia rank for dates — losses?
Southern Asia ranks 7th out of 28 groups with data for 2023.
Is dates — losses rising or falling in Southern Asia?
Over the last ten years it is up 1.6%. The long-run trend across the full record is rising.
Where does this Southern Asia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Dates — 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
Dates — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
82 places, 1,113 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.