Tomatoes — Yield, per unit of GDP in Liberia
Liberia: Tomatoes — Yield, per unit of GDP was 0 kg/ha per US$ of GDP in 2024. ◆ Volatile
Tomatoes — Yield, per unit of GDP in Liberia, 1979–2024
Source: Statizoid (derived). Measured in kg/ha per US$ of GDP.
Analysis
Liberia recorded 0 kg/ha per US$ of GDP for tomatoes — yield, per unit of gdp in 2024. That is the lowest value across all 46 years on record.
That represents a change of down 7.9% on the previous year and down 32.7% over ten years.
Over the whole period, tomatoes — yield, per unit of gdp in Liberia peaked at 0.0001 kg/ha per US$ of GDP in 1994 and was at its lowest, 0 kg/ha per US$ of GDP, in 2024.
Liberia ranks 17th of 148 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Tomatoes — Yield, per unit of GDP in Liberia, year by year
| Year | kg/ha per US$ of GDP | Change |
|---|---|---|
| 1979 | 0 kg/ha per US$ of GDP | — |
| 1980 | 0 kg/ha per US$ of GDP | -4.8% |
| 1981 | 0 kg/ha per US$ of GDP | +1.0% |
| 1982 | 0 kg/ha per US$ of GDP | +63.3% |
| 1983 | 0 kg/ha per US$ of GDP | +25.9% |
| 1984 | 0 kg/ha per US$ of GDP | -3.0% |
| 1985 | 0 kg/ha per US$ of GDP | -0.3% |
| 1986 | 0 kg/ha per US$ of GDP | +1.2% |
| 1987 | 0 kg/ha per US$ of GDP | -13.6% |
| 1988 | 0 kg/ha per US$ of GDP | -6.3% |
| 1989 | 0 kg/ha per US$ of GDP | +32.0% |
| 1990 | 0 kg/ha per US$ of GDP | +126.4% |
| 1991 | 0 kg/ha per US$ of GDP | -16.7% |
| 1992 | 0 kg/ha per US$ of GDP | +55.7% |
| 1993 | 0.0001 kg/ha per US$ of GDP | +39.4% |
| 1994 | 0.0001 kg/ha per US$ of GDP | +21.4% |
| 1995 | 0.0001 kg/ha per US$ of GDP | -1.8% |
| 1996 | 0.0001 kg/ha per US$ of GDP | -15.1% |
| 1997 | 0 kg/ha per US$ of GDP | -45.9% |
| 1998 | 0 kg/ha per US$ of GDP | -17.4% |
| 1999 | 0 kg/ha per US$ of GDP | -18.3% |
| 2000 | 0 kg/ha per US$ of GDP | -49.3% |
| 2001 | 0 kg/ha per US$ of GDP | -3.2% |
| 2002 | 0 kg/ha per US$ of GDP | -1.9% |
| 2003 | 0 kg/ha per US$ of GDP | +24.4% |
| 2004 | 0 kg/ha per US$ of GDP | -14.4% |
| 2005 | 0 kg/ha per US$ of GDP | -1.4% |
| 2006 | 0 kg/ha per US$ of GDP | -10.8% |
| 2007 | 0 kg/ha per US$ of GDP | -16.0% |
| 2008 | 0 kg/ha per US$ of GDP | -17.5% |
| 2009 | 0 kg/ha per US$ of GDP | +0.7% |
| 2010 | 0 kg/ha per US$ of GDP | -8.6% |
| 2011 | 0 kg/ha per US$ of GDP | -20.8% |
| 2012 | 0 kg/ha per US$ of GDP | +24.0% |
| 2013 | 0 kg/ha per US$ of GDP | -24.1% |
| 2014 | 0 kg/ha per US$ of GDP | -0.3% |
| 2015 | 0 kg/ha per US$ of GDP | +1.5% |
| 2016 | 0 kg/ha per US$ of GDP | -2.5% |
| 2017 | 0 kg/ha per US$ of GDP | -1.8% |
| 2018 | 0 kg/ha per US$ of GDP | -2.6% |
| 2019 | 0 kg/ha per US$ of GDP | +7.8% |
| 2020 | 0 kg/ha per US$ of GDP | -1.7% |
| 2021 | 0 kg/ha per US$ of GDP | -8.2% |
| 2022 | 0 kg/ha per US$ of GDP | -12.8% |
| 2023 | 0 kg/ha per US$ of GDP | -8.9% |
| 2024 | 0 kg/ha per US$ of GDP | -7.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 1 |
| 1980s | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 10 |
| 1990s | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 0.0001 kg/ha per US$ of GDP | 10 |
| 2000s | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 10 |
| 2010s | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 10 |
| 2020s | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 0 kg/ha per US$ of GDP | 5 |
Countries ranked near Liberia
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 tomatoes — yield, per unit of gdp in Liberia?
- Tomatoes — yield, per unit of gdp in Liberia was 0 kg/ha per US$ of GDP in 2024, according to Statizoid (derived).
- What is the highest tomatoes — yield, per unit of gdp recorded in Liberia?
- The highest recorded value was 0.0001 kg/ha per US$ of GDP in 1994.
- What is the lowest tomatoes — yield, per unit of gdp recorded in Liberia?
- The lowest recorded value was 0 kg/ha per US$ of GDP in 2024.
- How does Liberia rank for tomatoes — yield, per unit of gdp?
- Liberia ranks 17th out of 148 countries with data for 2024.
- Is tomatoes — yield, per unit of gdp rising or falling in Liberia?
- Over the last ten years it is down 32.7%. The long-run trend across the full record is volatile.
- Where does this Liberia data come from?
- The figures come from Statizoid (derived), published as part of Tomatoes — Yield, per unit of GDP. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 46 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Tomatoes — Yield divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Tomatoes — Yield ÷ GDP (current US$)
Computed from
- Tomatoes — Yield Food and Agriculture Organization of the United Nations
- GDP Country official statistics, National Statistical Organizations and/or Central Banks
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Tomatoes — Yield divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.