Stimulants — Losses in Philippines

Philippines: Stimulants — Losses was 4 1000 t in 2023. ▼ Falling

Latest (2023)
4 1000 t
Change on year
up 33.3%
World rank
37th
of 96 countries
All-time high
5 1000 t
in 2010
All-time low
3 1000 t
in 2022
Years of data
14
2010–2023

Stimulants — Losses in Philippines, 2010–2023

0123452010201620232010: 5 1000 t2011: 5 1000 t2012: 5 1000 t2013: 4 1000 t2014: 4 1000 t2015: 4 1000 t2016: 4 1000 t2017: 4 1000 t2018: 4 1000 t2019: 4 1000 t2020: 5 1000 t2021: 4 1000 t2022: 3 1000 t2023: 4 1000 t

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

Analysis

In 2023, stimulants — losses in Philippines stood at 4 1000 t.

The figure is up 33.3% on the previous year and unchanged over ten years.

Over the whole period, stimulants — losses in Philippines peaked at 5 1000 t in 2010 and was at its lowest, 3 1000 t, in 2022.

Philippines ranks 37th of 96 countries on this measure, in the middle of the range.

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

Averages by decade

DecadeAverage LowestHighest Years
2010s 4.3 1000 t 4 1000 t 5 1000 t 10
2020s 4 1000 t 3 1000 t 5 1000 t 4

Countries ranked near Philippines

  1. 35 United Arab Emirates 5 1000 t compare
  2. 35 Pakistan 5 1000 t compare
  3. 37 Dominican Republic 4 1000 t compare
  4. 37 Iran (Islamic Republic of) 4 1000 t compare
  5. 37 Madagascar 4 1000 t compare
  6. 37 Democratic Republic of the Congo 4 1000 t compare
  7. 37 Costa Rica 4 1000 t compare

See the full ranking of 123 places →

More agriculture & rural data for Philippines

All data for Philippines →

Frequently asked questions

What is stimulants — losses in Philippines?
Stimulants — losses in Philippines was 4 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest stimulants — losses recorded in Philippines?
The highest recorded value was 5 1000 t in 2010.
What is the lowest stimulants — losses recorded in Philippines?
The lowest recorded value was 3 1000 t in 2022.
How does Philippines rank for stimulants — losses?
Philippines ranks 37th out of 96 countries with data for 2023.
Is stimulants — losses rising or falling in Philippines?
Over the last ten years it is unchanged. The long-run trend across the full record is falling.
Where does this Philippines data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Stimulants — 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
Stimulants — Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
123 places, 1,658 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.