Jute — Import Quantity in Liberia
Liberia: Jute — Import Quantity was 0 t in 2013. ◆ Volatile
Jute — Import Quantity in Liberia, 1961–2013
Source: Food and Agriculture Organization of the United Nations. Measured in t.
Analysis
The most recent figure for jute — import quantity in Liberia is 0 t, measured in 2013. That is the lowest value across all 53 years on record.
Over the whole period, jute — import quantity in Liberia peaked at 21 t in 1977 and was at its lowest, 0 t, in 1961.
That places Liberia 97th out of 145 countries with data for 2013, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Jute — Import Quantity in Liberia, year by year
| Year | t | Change |
|---|---|---|
| 1961 | 0 t | — |
| 1962 | 0 t | — |
| 1963 | 0 t | — |
| 1964 | 0 t | — |
| 1965 | 0 t | — |
| 1966 | 0 t | — |
| 1967 | 0 t | — |
| 1968 | 0 t | — |
| 1969 | 0 t | — |
| 1970 | 0 t | — |
| 1971 | 0 t | — |
| 1972 | 0 t | — |
| 1973 | 0 t | — |
| 1974 | 0 t | — |
| 1975 | 0 t | — |
| 1976 | 0 t | — |
| 1977 | 21 t | — |
| 1978 | 0 t | -100.0% |
| 1979 | 9 t | — |
| 1980 | 0 t | -100.0% |
| 1981 | 16 t | — |
| 1982 | 0 t | -100.0% |
| 1983 | 0 t | — |
| 1984 | 0 t | — |
| 1985 | 0 t | — |
| 1986 | 0 t | — |
| 1987 | 0 t | — |
| 1988 | 0 t | — |
| 1989 | 0 t | — |
| 1990 | 0 t | — |
| 1991 | 0 t | — |
| 1992 | 10 t | — |
| 1993 | 0 t | -100.0% |
| 1994 | 0 t | — |
| 1995 | 0 t | — |
| 1996 | 0 t | — |
| 1997 | 0 t | — |
| 1998 | 0 t | — |
| 1999 | 0 t | — |
| 2000 | 0 t | — |
| 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 | — |
Liberia compared with similar countries
- Liberia's 0 t is below the median for Sub-Saharan Africa, which is 1.5 t. (30 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0 t | 0 t | 0 t | 9 |
| 1970s | 3 t | 0 t | 21 t | 10 |
| 1980s | 1.6 t | 0 t | 16 t | 10 |
| 1990s | 1 t | 0 t | 10 t | 10 |
| 2000s | 0 t | 0 t | 0 t | 10 |
| 2010s | 0 t | 0 t | 0 t | 4 |
Countries ranked near Liberia
- 97 Albania 0 t compare
- 97 Argentina 0 t compare
- 97 Armenia 0 t compare
- 97 Bahamas 0 t compare
- 97 Barbados 0 t compare
- 97 Botswana 0 t compare
- 97 Brunei Darussalam 0 t compare
- 97 Burkina Faso 0 t compare
- 97 Cambodia 0 t compare
- 97 Central African Republic 0 t compare
- 97 China, Hong Kong SAR 0 t compare
- 97 Colombia 0 t compare
- 97 Costa Rica 0 t compare
- 97 Cuba 0 t compare
- 97 Cyprus 0 t compare
- 97 Czechoslovakia 0 t compare
- 97 Egypt 0 t compare
- 97 Estonia 0 t compare
- 97 Eswatini 0 t compare
- 97 Ethiopia PDR 0 t compare
- 97 Finland 0 t compare
- 97 French Polynesia 0 t compare
- 97 Gabon 0 t compare
- 97 Grenada 0 t compare
- 97 Haiti 0 t compare
- 97 Jamaica 0 t compare
- 97 Kiribati 0 t compare
- 97 Kyrgyzstan 0 t compare
- 97 Latvia 0 t compare
- 97 Luxembourg 0 t compare
- 97 Madagascar 0 t compare
- 97 Mali 0 t compare
- 97 Mauritania 0 t compare
- 97 Mauritius 0 t compare
- 97 Mongolia 0 t compare
- 97 Morocco 0 t compare
- 97 Myanmar 0 t compare
- 97 North Macedonia 0 t compare
- 97 Paraguay 0 t compare
- 97 Peru 0 t compare
- 97 Rwanda 0 t compare
- 97 Serbia and Montenegro 0 t compare
- 97 Sierra Leone 0 t compare
- 97 Solomon Islands 0 t compare
- 97 Trinidad and Tobago 0 t compare
- 97 Uganda 0 t compare
- 97 Uruguay 0 t compare
- 97 Yemen 0 t compare
More agriculture & rural data for Liberia
- Agriculture, forestry, and fishing, value added (current US$), annual 5.94 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.3265 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 298.89 current US$ per person (2025)
- Rural population, annual growth rate 0.8615 % change on previous year (2025)
- Rural population, per unit of GDP 0.0005 units per US$ of GDP (2025)
- Rural population, per capita 0.4392 units per person (2025)
- Share of GDP from agriculture 32.7% (2025)
- Agriculture as a share of GDP vs. GDP per capita 32.7% (2025)
- Agricultural raw materials exports 63.7% (2023)
- Agricultural raw materials imports 1.7% (2023)
Frequently asked questions
- What is jute — import quantity in Liberia?
- Jute — import quantity in Liberia was 0 t in 2013, according to Food and Agriculture Organization of the United Nations.
- What is the highest jute — import quantity recorded in Liberia?
- The highest recorded value was 21 t in 1977.
- What is the lowest jute — import quantity recorded in Liberia?
- The lowest recorded value was 0 t in 1961.
- How does Liberia rank for jute — import quantity?
- Liberia ranks 97th out of 145 countries with data for 2013.
- Where does this Liberia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Jute — 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.