Tea (including mate) — Stock Variation in New Zealand
New Zealand: Tea (including mate) — Stock Variation was 0 1000 t in 2023. ◆ Volatile
Tea (including mate) — Stock Variation in New Zealand, 2010–2023
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 t.
Analysis
In 2023, tea (including mate) — stock variation in New Zealand stood at 0 1000 t. That is the highest value across all 14 years on record.
The figure is up 100.0% over ten years.
Over the whole period, tea (including mate) — stock variation in New Zealand peaked at 0 1000 t in 2010 and was at its lowest, -1 1000 t, in 2011.
New Zealand ranks 11th of 164 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 | -0.3 1000 t | -1 1000 t | 0 1000 t | 10 |
| 2020s | 0 1000 t | 0 1000 t | 0 1000 t | 4 |
Countries ranked near New Zealand
- 8 Mauritania 1 1000 t compare
- 8 Italy 1 1000 t compare
- 8 Nepal 1 1000 t compare
- 11 Tuvalu 0 1000 t compare
- 11 Nauru 0 1000 t compare
- 11 Tonga 0 1000 t compare
- 11 Marshall Islands 0 1000 t compare
- 11 Bhutan 0 1000 t compare
- 11 Qatar 0 1000 t compare
- 11 Bahrain 0 1000 t compare
- 11 Cuba 0 1000 t compare
- 11 Turkmenistan 0 1000 t compare
- 11 Kiribati 0 1000 t compare
- 11 Lesotho 0 1000 t compare
- 11 Comoros 0 1000 t compare
- 11 Djibouti 0 1000 t compare
- 11 Guinea-Bissau 0 1000 t compare
- 11 Sao Tome and Principe 0 1000 t compare
- 11 Tajikistan 0 1000 t compare
- 11 China, Macao SAR 0 1000 t compare
- 11 Liberia 0 1000 t compare
- 11 Afghanistan 0 1000 t compare
- 11 Mongolia 0 1000 t compare
- 11 Saint Kitts and Nevis 0 1000 t compare
- 11 Solomon Islands 0 1000 t compare
- 11 Gambia 0 1000 t compare
- 11 Albania 0 1000 t compare
- 11 Libya 0 1000 t compare
- 11 Sierra Leone 0 1000 t compare
- 11 Vanuatu 0 1000 t compare
- 11 Suriname 0 1000 t compare
- 11 Montenegro 0 1000 t compare
- 11 Maldives 0 1000 t compare
- 11 Saint Vincent and the Grenadines 0 1000 t compare
- 11 Armenia 0 1000 t compare
- 11 Kuwait 0 1000 t compare
- 11 Iceland 0 1000 t compare
- 11 Seychelles 0 1000 t compare
- 11 French Polynesia 0 1000 t compare
- 11 Grenada 0 1000 t compare
- 11 Samoa 0 1000 t compare
- 11 Estonia 0 1000 t compare
- 11 Gabon 0 1000 t compare
- 11 Guyana 0 1000 t compare
- 11 Eswatini 0 1000 t compare
- 11 Georgia 0 1000 t compare
- 11 Bosnia and Herzegovina 0 1000 t compare
- 11 Lithuania 0 1000 t compare
- 11 Haiti 0 1000 t compare
- 11 Papua New Guinea 0 1000 t compare
- 11 Saint Lucia 0 1000 t compare
- 11 North Macedonia 0 1000 t compare
- 11 Guinea 0 1000 t compare
- 11 Jordan 0 1000 t compare
- 11 Niger 0 1000 t compare
- 11 Angola 0 1000 t compare
- 11 Oman 0 1000 t compare
- 11 Bahamas 0 1000 t compare
- 11 Iraq 0 1000 t compare
- 11 New Caledonia 0 1000 t compare
- 11 Azerbaijan 0 1000 t compare
- 11 Finland 0 1000 t compare
- 11 Congo 0 1000 t compare
- 11 Uruguay 0 1000 t compare
- 11 Paraguay 0 1000 t compare
- 11 Namibia 0 1000 t compare
- 11 Algeria 0 1000 t compare
- 11 Slovak Republic 0 1000 t compare
- 11 Latvia 0 1000 t compare
- 11 Ukraine 0 1000 t compare
- 11 Luxembourg 0 1000 t compare
- 11 Antigua and Barbuda 0 1000 t compare
- 11 Barbados 0 1000 t compare
- 11 Burkina Faso 0 1000 t compare
- 11 Chile 0 1000 t compare
- 11 Ireland 0 1000 t compare
- 11 Serbia 0 1000 t compare
- 11 Tunisia 0 1000 t compare
- 11 Croatia 0 1000 t compare
- 11 Czechia 0 1000 t compare
- 11 Argentina 0 1000 t compare
- 11 Norway 0 1000 t compare
- 11 Saudi Arabia 0 1000 t compare
- 11 Myanmar 0 1000 t compare
- 11 Panama 0 1000 t compare
- 11 Slovenia 0 1000 t compare
- 11 Mauritius 0 1000 t compare
- 11 Bulgaria 0 1000 t compare
- 11 Israel 0 1000 t compare
- 11 Belgium 0 1000 t compare
- 11 Netherlands (Kingdom of the) 0 1000 t compare
- 11 Dominican Republic 0 1000 t compare
- 11 Belize 0 1000 t compare
- 11 Nicaragua 0 1000 t compare
- 11 Rwanda 0 1000 t compare
- 11 Romania 0 1000 t compare
- 11 Jamaica 0 1000 t compare
- 11 Poland 0 1000 t compare
- 11 Yemen 0 1000 t compare
- 11 Denmark 0 1000 t compare
- 11 Switzerland 0 1000 t compare
- 11 Portugal 0 1000 t compare
- 11 Malawi 0 1000 t compare
- 11 El Salvador 0 1000 t compare
- 11 Russian Federation 0 1000 t compare
- 11 United Kingdom of Great Britain and Northern Ireland 0 1000 t compare
- 11 Madagascar 0 1000 t compare
- 11 Zambia 0 1000 t compare
- 11 Canada 0 1000 t compare
- 11 Trinidad and Tobago 0 1000 t compare
- 11 Lebanon 0 1000 t compare
- 11 Mozambique 0 1000 t compare
- 11 Malta 0 1000 t compare
- 11 Austria 0 1000 t compare
- 11 France 0 1000 t compare
- 11 Malaysia 0 1000 t compare
- 11 Fiji 0 1000 t compare
- 11 Sweden 0 1000 t compare
- 11 Ghana 0 1000 t compare
- 11 Kazakhstan 0 1000 t compare
- 11 Botswana 0 1000 t compare
- 11 Ecuador 0 1000 t compare
- 11 Hungary 0 1000 t compare
- 11 China, Taiwan Province of 0 1000 t compare
- 11 Morocco 0 1000 t compare
- 11 Australia 0 1000 t compare
- 11 Greece 0 1000 t compare
- 11 Germany 0 1000 t compare
- 11 Cameroon 0 1000 t compare
- 11 Cyprus 0 1000 t compare
- 11 Cambodia 0 1000 t compare
- 11 Bangladesh 0 1000 t compare
- 11 Nigeria 0 1000 t compare
- 11 Uganda 0 1000 t compare
- 11 Honduras 0 1000 t compare
- 11 Costa Rica 0 1000 t compare
- 11 Sri Lanka 0 1000 t compare
- 11 Peru 0 1000 t compare
- 11 Spain 0 1000 t compare
- 11 India 0 1000 t compare
- 11 Brazil 0 1000 t compare
- 11 Mexico 0 1000 t compare
- 11 Egypt 0 1000 t compare
- 11 Guatemala 0 1000 t compare
- 11 Australia and New Zealand 0 1000 t compare
- 11 Indonesia 0 1000 t compare
- 11 Colombia 0 1000 t compare
More agriculture & rural data for New Zealand
- Agriculture share gdp 4.01 (2023)
- Value added in the agricultural sector as of gdp vs gdp per capita 4.01 (2023)
- Agricultural raw materials exports 9.3% (2025)
- Agricultural raw materials imports 0.8% (2025)
- Rural population 16.0% (2025)
- Rural population growth 0.3% (2025)
- Rural population 852,066 (2025)
- Agriculture, forestry, and fishing, value added 4.0% (2023)
- Agriculture, forestry, and fishing, value added 10.28 billion current US$ (2023)
- Unmanufactured tobacco — Production 0 t (1998)
Frequently asked questions
- What is tea (including mate) — stock variation in New Zealand?
- Tea (including mate) — stock variation in New Zealand was 0 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 New Zealand?
- The highest recorded value was 0 1000 t in 2010.
- What is the lowest tea (including mate) — stock variation recorded in New Zealand?
- The lowest recorded value was -1 1000 t in 2011.
- How does New Zealand rank for tea (including mate) — stock variation?
- New Zealand ranks 11th out of 164 countries with data for 2023.
- Is tea (including mate) — stock variation rising or falling in New Zealand?
- Over the last ten years it is up 100.0%. The long-run trend across the full record is volatile.
- Where does this New Zealand 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.