Tea (including mate) β€” Losses in Land Locked Developing Countries (LLDCs)

Land Locked Developing Countries (LLDCs): Tea (including mate) β€” Losses was 49 1000 t in 2023. β—† Volatile

Latest (2023)
49 1000 t
Change on year
up 40.0%
Rank
11th
of 25 groups
All-time high
49 1000 t
in 2023
All-time low
11 1000 t
in 2019
Years of data
14
2010–2023

Tea (including mate) β€” Losses in Land Locked Developing Countries (LLDCs), 2010–2023

10203040502010201620232010: 17 1000 t2011: 16 1000 t2012: 14 1000 t2013: 17 1000 t2014: 13 1000 t2015: 12 1000 t2016: 12 1000 t2017: 14 1000 t2018: 16 1000 t2019: 11 1000 t2020: 20 1000 t2021: 31 1000 t2022: 35 1000 t2023: 49 1000 t

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

Analysis

Land Locked Developing Countries (LLDCs) recorded 49 1000 t for tea (including mate) β€” losses in 2023. That is the highest value across all 14 years on record.

Compared with earlier readings it is up 40.0% on the previous year and up 188.2% over ten years.

Over the whole period, tea (including mate) β€” losses in Land Locked Developing Countries (LLDCs) peaked at 49 1000 t in 2023 and was at its lowest, 11 1000 t, in 2019.

Land Locked Developing Countries (LLDCs) ranks 11th of 25 groups on this measure, in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Averages by decade

DecadeAverage LowestHighest Years
2010s 14.2 1000 t 11 1000 t 17 1000 t 10
2020s 33.75 1000 t 20 1000 t 49 1000 t 4

Countries ranked near Land Locked Developing Countries (LLDCs)

  1. 8 Argentina 20 1000 t compare
  2. 9 Bangladesh 19 1000 t compare
  3. 10 TΓΌrkiye 17 1000 t compare
  4. 11 Sri Lanka 15 1000 t compare
  5. 12 Malawi 10 1000 t compare
  6. 13 Myanmar 7 1000 t compare
  7. 14 Thailand 6 1000 t compare

See the full ranking of 78 places β†’

More agriculture & rural data for Land Locked Developing Countries (LLDCs)

All data for Land Locked Developing Countries (LLDCs) β†’

Frequently asked questions

What is tea (including mate) β€” losses in Land Locked Developing Countries (LLDCs)?
Tea (including mate) β€” losses in Land Locked Developing Countries (LLDCs) was 49 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest tea (including mate) β€” losses recorded in Land Locked Developing Countries (LLDCs)?
The highest recorded value was 49 1000 t in 2023.
What is the lowest tea (including mate) β€” losses recorded in Land Locked Developing Countries (LLDCs)?
The lowest recorded value was 11 1000 t in 2019.
How does Land Locked Developing Countries (LLDCs) rank for tea (including mate) β€” losses?
Land Locked Developing Countries (LLDCs) ranks 11th out of 25 groups with data for 2023.
Is tea (including mate) β€” losses rising or falling in Land Locked Developing Countries (LLDCs)?
Over the last ten years it is up 188.2%. The long-run trend across the full record is volatile.
Where does this Land Locked Developing Countries (LLDCs) data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Tea (including mate) β€” Losses. Statizoid updates them automatically from the source API.

Download this data

CSV Β· JSON β€” 14 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).

About this data

Indicator
Tea (including mate) β€” Losses
Unit
1000 t
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
78 places, 1,049 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.