Bananas — Gross Production Value (constant 2014-2016 thousand I$) in Philippines
Philippines: Bananas — Gross Production Value (constant 2014-2016 thousand I$) was 2.01 million 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
2.01 million 1000 Int$
Change on year
down 3.9%
World rank
8th
of 121 countries
All-time high
3.28 million 1000 Int$
in 2012
All-time low
341,247 1000 Int$
in 1965
Years of data
64
1961–2024
Bananas — Gross Production Value in Philippines, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Philippines recorded 2.01 million 1000 Int$ for bananas — gross production value in 2024.
That represents a change of down 3.9% on the previous year and down 1.2% over ten years.
Over the whole period, bananas — gross production value in Philippines peaked at 3.28 million 1000 Int$ in 2012 and was at its lowest, 341,247 1000 Int$, in 1965.
Philippines ranks 8th of 121 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Bananas — Gross Production Value (constant 2014-2016 thousand I$) in Philippines, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 370,195 1000 Int$ | — |
| 1962 | 366,583 1000 Int$ | -1.0% |
| 1963 | 364,502 1000 Int$ | -0.6% |
| 1964 | 353,440 1000 Int$ | -3.0% |
| 1965 | 341,247 1000 Int$ | -3.4% |
| 1966 | 355,369 1000 Int$ | +4.1% |
| 1967 | 358,225 1000 Int$ | +0.8% |
| 1968 | 347,090 1000 Int$ | -3.1% |
| 1969 | 388,228 1000 Int$ | +11.9% |
| 1970 | 466,119 1000 Int$ | +20.1% |
| 1971 | 526,222 1000 Int$ | +12.9% |
| 1972 | 497,874 1000 Int$ | -5.4% |
| 1973 | 411,601 1000 Int$ | -17.3% |
| 1974 | 543,466 1000 Int$ | +32.0% |
| 1975 | 734,422 1000 Int$ | +35.1% |
| 1976 | 779,884 1000 Int$ | +6.2% |
| 1977 | 918,298 1000 Int$ | +17.7% |
| 1978 | 1.19 million 1000 Int$ | +29.4% |
| 1979 | 1.40 million 1000 Int$ | +17.6% |
| 1980 | 1.46 million 1000 Int$ | +4.2% |
| 1981 | 1.42 million 1000 Int$ | -2.4% |
| 1982 | 1.45 million 1000 Int$ | +1.8% |
| 1983 | 1.31 million 1000 Int$ | -9.4% |
| 1984 | 1.37 million 1000 Int$ | +4.5% |
| 1985 | 1.32 million 1000 Int$ | -3.8% |
| 1986 | 1.36 million 1000 Int$ | +3.4% |
| 1987 | 1.34 million 1000 Int$ | -1.3% |
| 1988 | 1.30 million 1000 Int$ | -3.6% |
| 1989 | 1.13 million 1000 Int$ | -12.5% |
| 1990 | 1.26 million 1000 Int$ | +10.9% |
| 1991 | 1.30 million 1000 Int$ | +3.5% |
| 1992 | 1.32 million 1000 Int$ | +1.7% |
| 1993 | 1.35 million 1000 Int$ | +2.3% |
| 1994 | 1.39 million 1000 Int$ | +2.8% |
| 1995 | 1.51 million 1000 Int$ | +8.2% |
| 1996 | 1.50 million 1000 Int$ | -0.2% |
| 1997 | 1.57 million 1000 Int$ | +4.2% |
| 1998 | 1.46 million 1000 Int$ | -6.8% |
| 1999 | 1.63 million 1000 Int$ | +11.3% |
| 2000 | 1.75 million 1000 Int$ | +7.9% |
| 2001 | 1.80 million 1000 Int$ | +2.6% |
| 2002 | 1.88 million 1000 Int$ | +4.3% |
| 2003 | 1.91 million 1000 Int$ | +1.8% |
| 2004 | 2.00 million 1000 Int$ | +4.9% |
| 2005 | 2.24 million 1000 Int$ | +11.8% |
| 2006 | 2.42 million 1000 Int$ | +7.9% |
| 2007 | 2.66 million 1000 Int$ | +10.1% |
| 2008 | 3.09 million 1000 Int$ | +16.1% |
| 2009 | 3.21 million 1000 Int$ | +3.7% |
| 2010 | 3.24 million 1000 Int$ | +1.0% |
| 2011 | 3.26 million 1000 Int$ | +0.7% |
| 2012 | 3.28 million 1000 Int$ | +0.7% |
| 2013 | 3.07 million 1000 Int$ | -6.3% |
| 2014 | 2.03 million 1000 Int$ | -34.0% |
| 2015 | 2.08 million 1000 Int$ | +2.3% |
| 2016 | 2.07 million 1000 Int$ | -0.2% |
| 2017 | 2.15 million 1000 Int$ | +3.6% |
| 2018 | 2.18 million 1000 Int$ | +1.7% |
| 2019 | 2.15 million 1000 Int$ | -1.5% |
| 2020 | 2.12 million 1000 Int$ | -1.6% |
| 2021 | 2.11 million 1000 Int$ | -0.2% |
| 2022 | 2.10 million 1000 Int$ | -0.7% |
| 2023 | 2.09 million 1000 Int$ | -0.5% |
| 2024 | 2.01 million 1000 Int$ | -3.9% |
Philippines compared with similar countries
- Philippines's 2.01 million 1000 Int$ is above the median for upper middle income countries, which is 22,402 1000 Int$, 89.5× the median. (35 countries reporting)
- Philippines's 2.01 million 1000 Int$ is above the median for East Asia & Pacific, which is 6,355 1000 Int$, 315.7× the median. (19 countries reporting)
Biggest year-on-year movements
Years where Bananas — Gross Production Value (constant 2014-2016 thousand I$) 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 |
|---|---|---|---|
| 2014 | -34.0% | 3.07 million 1000 Int$ | 2.03 million 1000 Int$ |
| 1975 | +35.1% | 543,466 1000 Int$ | 734,422 1000 Int$ |
| 1974 | +32.0% | 411,601 1000 Int$ | 543,466 1000 Int$ |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 360,542 1000 Int$ | 341,247 1000 Int$ | 388,228 1000 Int$ | 9 |
| 1970s | 746,240 1000 Int$ | 411,601 1000 Int$ | 1.40 million 1000 Int$ | 10 |
| 1980s | 1.35 million 1000 Int$ | 1.13 million 1000 Int$ | 1.46 million 1000 Int$ | 10 |
| 1990s | 1.43 million 1000 Int$ | 1.26 million 1000 Int$ | 1.63 million 1000 Int$ | 10 |
| 2000s | 2.30 million 1000 Int$ | 1.75 million 1000 Int$ | 3.21 million 1000 Int$ | 10 |
| 2010s | 2.55 million 1000 Int$ | 2.03 million 1000 Int$ | 3.28 million 1000 Int$ | 10 |
| 2020s | 2.08 million 1000 Int$ | 2.01 million 1000 Int$ | 2.12 million 1000 Int$ | 5 |
Countries ranked near Philippines
- 5 Ecuador 2.70 million 1000 Int$ compare
- 5 United Republic of Tanzania 1.16 million 1000 Int$ compare
- 6 Brazil 2.51 million 1000 Int$ compare
- 6 Viet Nam 938,859 1000 Int$ compare
- 7 Nigeria 2.46 million 1000 Int$ compare
- 7 Melanesia 464,609 1000 Int$ compare
- 8 Türkiye 311,145 1000 Int$ compare
- 9 Angola 1.85 million 1000 Int$ compare
- 9 Democratic Republic of the Congo 288,395 1000 Int$ compare
- 10 Guatemala 1.01 million 1000 Int$ compare
- 10 Lao People's Democratic Republic 272,457 1000 Int$ compare
- 11 Mexico 949,541 1000 Int$ compare
- 11 Venezuela (Bolivarian Republic of) 173,081 1000 Int$ 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 bananas — gross production value in Philippines?
- Bananas — gross production value in Philippines was 2.01 million 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest bananas — gross production value recorded in Philippines?
- The highest recorded value was 3.28 million 1000 Int$ in 2012.
- What is the lowest bananas — gross production value recorded in Philippines?
- The lowest recorded value was 341,247 1000 Int$ in 1965.
- How does Philippines rank for bananas — gross production value?
- Philippines ranks 8th out of 121 countries with data for 2024.
- Is bananas — gross production value rising or falling in Philippines?
- Over the last ten years it is down 1.2%. The long-run trend across the full record is volatile.
- Where does this Philippines data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Bananas — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 64 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.