Tea (including mate) — Stock Variation in China
China: Tea (including mate) — Stock Variation was 78 1000 t in 2023. ◆ Volatile
Tea (including mate) — Stock Variation in China, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, tea (including mate) — stock variation in China stood at 78 1000 t. That is the highest value across all 14 years on record.
Compared with earlier readings it is up 290.2% on the previous year and up 206.8% over ten years.
Over the whole period, tea (including mate) — stock variation in China peaked at 78 1000 t in 2023 and was at its lowest, -73 1000 t, in 2013.
China ranks 2nd of 181 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -27.8 1000 t | -73 1000 t | 55 1000 t | 10 |
| 2020s | -5.5 1000 t | -53 1000 t | 78 1000 t | 4 |
Countries ranked near China
- 1 China, mainland 86 1000 t compare
- 3 Kenya 29 1000 t compare
- 4 Thailand 26 1000 t compare
- 5 Lao People's Democratic Republic 4 1000 t compare
More agriculture & rural data for China
- Agriculture share gdp 6.66 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 6.66 (2025)
- Agricultural raw materials exports 0.3% (2024)
- Agricultural raw materials imports 2.7% (2024)
- Rural population 33.7% (2025)
- Rural population growth -1.5% (2025)
- Rural population 473.41 million (2025)
- Agriculture, forestry, and fishing, value added 6.7% (2025)
- Agriculture, forestry, and fishing, value added 1.30 trillion current US$ (2025)
- Bananas — Production 12.10 million t (2024)
Frequently asked questions
- What is tea (including mate) — stock variation in China?
- Tea (including mate) — stock variation in China was 78 1000 t in 2023, according to Food and Agriculture Organization of the United Nations.
- What is the highest tea (including mate) — stock variation recorded in China?
- The highest recorded value was 78 1000 t in 2023.
- What is the lowest tea (including mate) — stock variation recorded in China?
- The lowest recorded value was -73 1000 t in 2013.
- How does China rank for tea (including mate) — stock variation?
- China ranks 2nd out of 181 countries with data for 2023.
- Is tea (including mate) — stock variation rising or falling in China?
- Over the last ten years it is up 206.8%. The long-run trend across the full record is volatile.
- Where does this China data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Tea (including mate) — Stock Variation. 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
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.