Starchy Roots — Losses in Pakistan

Pakistan: Starchy Roots — Losses was 685 1000 t in 2023. ▲ Rising

Latest (2023)
685 1000 t
Change on year
up 5.7%
World rank
23rd
of 181 countries
All-time high
685 1000 t
in 2023
All-time low
258 1000 t
in 2014
Years of data
14
2010–2023

Starchy Roots — Losses in Pakistan, 2010–2023

02004006002010201620232010: 272 1000 t2011: 301 1000 t2012: 295 1000 t2013: 326 1000 t2014: 258 1000 t2015: 340 1000 t2016: 339 1000 t2017: 330 1000 t2018: 386 1000 t2019: 398 1000 t2020: 361 1000 t2021: 480 1000 t2022: 648 1000 t2023: 685 1000 t

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

Analysis

The most recent figure for starchy roots — losses in Pakistan is 685 1000 t, measured in 2023. That is the highest value across all 14 years on record.

That represents a change of up 5.7% on the previous year and up 110.1% over ten years.

Over the whole period, starchy roots — losses in Pakistan peaked at 685 1000 t in 2023 and was at its lowest, 258 1000 t, in 2014.

Pakistan ranks 23rd of 181 countries on this measure, 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 324.5 1000 t 258 1000 t 398 1000 t 10
2020s 543.5 1000 t 361 1000 t 685 1000 t 4

Countries ranked near Pakistan

  1. 20 Lao People's Democratic Republic 845 1000 t compare
  2. 21 Bangladesh 813 1000 t compare
  3. 22 United Republic of Tanzania 693 1000 t compare
  4. 24 Cambodia 666 1000 t compare
  5. 25 Mozambique 643 1000 t compare
  6. 26 Nepal 536 1000 t compare

See the full ranking of 212 places →

More agriculture & rural data for Pakistan

All data for Pakistan →

Frequently asked questions

What is starchy roots — losses in Pakistan?
Starchy roots — losses in Pakistan was 685 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest starchy roots — losses recorded in Pakistan?
The highest recorded value was 685 1000 t in 2023.
What is the lowest starchy roots — losses recorded in Pakistan?
The lowest recorded value was 258 1000 t in 2014.
How does Pakistan rank for starchy roots — losses?
Pakistan ranks 23rd out of 181 countries with data for 2023.
Is starchy roots — losses rising or falling in Pakistan?
Over the last ten years it is up 110.1%. The long-run trend across the full record is rising.
Where does this Pakistan 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.

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 — 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.