Jute-Like Fibres — Import Quantity in Philippines
Philippines: Jute-Like Fibres — Import Quantity was 0 t in 2013. ◆ Volatile
Jute-Like Fibres — Import Quantity in Philippines, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
In 2013, jute-like fibres — import quantity in Philippines stood at 0 t. That is the lowest value across all 53 years on record.
Over the whole period, jute-like fibres — import quantity in Philippines peaked at 4,894 t in 1979 and was at its lowest, 0 t, in 1961.
Philippines ranks 2nd of 24 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Jute-Like Fibres — Import Quantity in Philippines, year by year
| Year | t | Change |
|---|---|---|
| 1961 | 0 t | — |
| 1962 | 0 t | — |
| 1963 | 10 t | — |
| 1964 | 0 t | -100.0% |
| 1965 | 4 t | — |
| 1966 | 0 t | -100.0% |
| 1967 | 11 t | — |
| 1968 | 1 t | -90.9% |
| 1969 | 0 t | -100.0% |
| 1970 | 0 t | — |
| 1971 | 5 t | — |
| 1972 | 0 t | -100.0% |
| 1973 | 0 t | — |
| 1974 | 0 t | — |
| 1975 | 0 t | — |
| 1976 | 99 t | — |
| 1977 | 3,276 t | +3209.1% |
| 1978 | 1,710 t | -47.8% |
| 1979 | 4,894 t | +186.2% |
| 1980 | 1,099 t | -77.5% |
| 1981 | 399 t | -63.7% |
| 1982 | 0 t | -100.0% |
| 1983 | 1 t | — |
| 1984 | 726 t | +72500.0% |
| 1985 | 92 t | -87.3% |
| 1986 | 300 t | +226.1% |
| 1987 | 0 t | -100.0% |
| 1988 | 100 t | — |
| 1989 | 0 t | -100.0% |
| 1990 | 0 t | — |
| 1991 | 0 t | — |
| 1992 | 0 t | — |
| 1993 | 0 t | — |
| 1994 | 0 t | — |
| 1995 | 0 t | — |
| 1996 | 9 t | — |
| 1997 | 18 t | +100.0% |
| 1998 | 0 t | -100.0% |
| 1999 | 18 t | — |
| 2000 | 0 t | -100.0% |
| 2001 | 0 t | — |
| 2002 | 0 t | — |
| 2003 | 0 t | — |
| 2004 | 0 t | — |
| 2005 | 0 t | — |
| 2006 | 0 t | — |
| 2007 | 0 t | — |
| 2008 | 0 t | — |
| 2009 | 0 t | — |
| 2010 | 0 t | — |
| 2011 | 0 t | — |
| 2012 | 0 t | — |
| 2013 | 0 t | — |
Biggest year-on-year movements
Years where Jute-Like Fibres — Import Quantity in Philippines changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1984 | +72500.0% | 1 t | 726 t |
| 1977 | +3209.1% | 99 t | 3,276 t |
| 1986 | +226.1% | 92 t | 300 t |
| 1979 | +186.2% | 1,710 t | 4,894 t |
| 1997 | +100.0% | 9 t | 18 t |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 2.89 t | 0 t | 11 t | 9 |
| 1970s | 998.4 t | 0 t | 4,894 t | 10 |
| 1980s | 271.7 t | 0 t | 1,099 t | 10 |
| 1990s | 4.5 t | 0 t | 18 t | 10 |
| 2000s | 0 t | 0 t | 0 t | 10 |
| 2010s | 0 t | 0 t | 0 t | 4 |
Countries ranked near Philippines
- 1 Chile 13 t compare
- 1 Iran (Islamic Republic of) 0 t compare
- 1 Melanesia 0 t compare
- 2 Bangladesh 0 t compare
- 2 Benin 0 t compare
- 2 Bulgaria 0 t compare
- 2 C�te d'Ivoire 0 t compare
- 2 Cuba 0 t compare
- 2 Fiji 0 t compare
- 2 Germany 0 t compare
- 2 Hungary 0 t compare
- 2 India 0 t compare
- 2 Israel 0 t compare
- 2 Kyrgyzstan 0 t compare
- 2 Madagascar 0 t compare
- 2 Malawi 0 t compare
- 2 Mali 0 t compare
- 2 Mozambique 0 t compare
- 2 Nicaragua 0 t compare
- 2 Oman 0 t compare
- 2 Pakistan 0 t compare
- 2 Peru 0 t compare
- 2 Republic of Korea 0 t compare
- 2 Spain 0 t compare
- 2 Uganda 0 t compare
- 4 Caribbean 0 t compare
More agriculture & rural data for Philippines
- Agriculture, forestry, and fishing, value added (current US$), annual -0.2488 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0859 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 358.34 current US$ per person (2025)
- Rural population, annual growth rate 0.0874 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.4423 units per person (2025)
- Share of GDP from agriculture 8.6% (2025)
- Agriculture as a share of GDP vs. GDP per capita 8.6% (2025)
- Agricultural raw materials exports 1.1% (2024)
- Agricultural raw materials imports 0.6% (2024)
Frequently asked questions
- What is jute-like fibres — import quantity in Philippines?
- Jute-like fibres — import quantity in Philippines was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest jute-like fibres — import quantity recorded in Philippines?
- The highest recorded value was 4,894 t in 1979.
- What is the lowest jute-like fibres — import quantity recorded in Philippines?
- The lowest recorded value was 0 t in 1961.
- How does Philippines rank for jute-like fibres — import quantity?
- Philippines ranks 2nd out of 24 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 Jute-Like Fibres — Import Quantity. 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.