Hard Fibres, Other — Stock Variation in Philippines
Philippines: Hard Fibres, Other — Stock Variation was 0 t in 2013. ▬ Flat
Hard Fibres, Other — Stock Variation in Philippines, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
Philippines recorded 0 t for hard fibres, other — stock variation in 2013.
Over the whole period, hard fibres, other — stock variation in Philippines peaked at 500 t in 2010 and was at its lowest, -500 t, in 2009.
That places Philippines 1st out of 34 countries with data for 2013, putting it in the top 10%.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0 t | 0 t | 0 t | 9 |
| 1970s | 0 t | 0 t | 0 t | 10 |
| 1980s | 0 t | 0 t | 0 t | 10 |
| 1990s | 0 t | 0 t | 0 t | 10 |
| 2000s | -50 t | -500 t | 0 t | 10 |
| 2010s | 125 t | 0 t | 500 t | 4 |
Countries ranked near Philippines
- 1 Australia 0 t compare
- 1 Bangladesh 0 t compare
- 1 Cambodia 0 t compare
- 1 China, Hong Kong SAR 0 t compare
- 1 China, Taiwan Province of 0 t compare
- 1 C�te d'Ivoire 0 t compare
- 1 Denmark 0 t compare
- 1 Egypt, Arab Republic of 0 t compare
- 1 Eswatini, Kingdom of 0 t compare
- 1 Finland 0 t compare
- 1 France 0 t compare
- 1 Germany 0 t compare
- 1 Guatemala 0 t compare
- 1 Honduras 0 t compare
- 1 Hungary 0 t compare
- 1 Ireland 0 t compare
- 1 Italy 0 t compare
- 1 Jamaica 0 t compare
- 1 Kenya 0 t compare
- 1 Lithuania, Republic of 0 t compare
- 1 Malawi 0 t compare
- 1 Morocco 0 t compare
- 1 Nicaragua 0 t compare
- 1 Norway 0 t compare
- 1 Portugal 0 t compare
- 1 Spain 0 t compare
- 1 Sri Lanka 0 t compare
- 1 Sweden 0 t compare
- 1 Switzerland 0 t compare
- 1 Tunisia 0 t compare
- 1 Yemen, Republic of 0 t compare
- 1 Yugoslav SFR 0 t compare
- 1 Australia and New Zealand 0 t compare
More agriculture & rural data for Philippines
- Agriculture share gdp 8.59 (2025)
- Value added in the agricultural sector as of gdp vs gdp per capita 8.59 (2025)
- Agricultural raw materials exports 1.1% (2024)
- Agricultural raw materials imports 0.6% (2024)
- Rural population 44.2% (2025)
- Rural population growth 0.1% (2025)
- Rural population 51.65 million (2025)
- Agriculture, forestry, and fishing, value added 8.6% (2025)
- Agriculture, forestry, and fishing, value added 41.85 billion current US$ (2025)
- Bananas — Production 5.64 million t (2024)
Frequently asked questions
- What is hard fibres, other — stock variation in Philippines?
- Hard fibres, other — stock variation in Philippines was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest hard fibres, other — stock variation recorded in Philippines?
- The highest recorded value was 500 t in 2010.
- What is the lowest hard fibres, other — stock variation recorded in Philippines?
- The lowest recorded value was -500 t in 2009.
- How does Philippines rank for hard fibres, other — stock variation?
- Philippines ranks 1st out of 34 countries with data for 2013.
- Where does this Philippines data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Hard Fibres, Other — Stock Variation. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 53 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
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 caput 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.