Seed cotton, unginned — Gross Production Value in Philippines
Philippines: Seed cotton, unginned — Gross Production Value was 63 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
63 1000 Int$
Change on year
down 12.5%
World rank
82nd
of 94 countries
All-time high
34,030 1000 Int$
in 1992
All-time low
14 1000 Int$
in 2016
Years of data
64
1961–2024
Seed cotton, unginned — Gross Production Value in Philippines, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Philippines recorded 63 1000 Int$ for seed cotton, unginned — gross production value in 2024.
That represents a change of down 12.5% on the previous year and up 103.2% over ten years.
Over the whole period, seed cotton, unginned — gross production value in Philippines peaked at 34,030 1000 Int$ in 1992 and was at its lowest, 14 1000 Int$, in 2016.
Philippines ranks 82nd of 94 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Seed cotton, unginned — Gross Production Value in Philippines, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 360 1000 Int$ | — |
| 1962 | 414 1000 Int$ | +15.0% |
| 1963 | 46 1000 Int$ | -88.9% |
| 1964 | 59 1000 Int$ | +28.3% |
| 1965 | 50 1000 Int$ | -15.3% |
| 1966 | 43 1000 Int$ | -14.0% |
| 1967 | 35 1000 Int$ | -18.6% |
| 1968 | 28 1000 Int$ | -20.0% |
| 1969 | 28 1000 Int$ | +0.0% |
| 1970 | 22 1000 Int$ | -21.4% |
| 1971 | 16 1000 Int$ | -27.3% |
| 1972 | 32 1000 Int$ | +100.0% |
| 1973 | 24 1000 Int$ | -25.0% |
| 1974 | 46 1000 Int$ | +91.7% |
| 1975 | 589 1000 Int$ | +1180.4% |
| 1976 | 1,176 1000 Int$ | +99.7% |
| 1977 | 1,765 1000 Int$ | +50.1% |
| 1978 | 2,354 1000 Int$ | +33.4% |
| 1979 | 7,062 1000 Int$ | +200.0% |
| 1980 | 12,357 1000 Int$ | +75.0% |
| 1981 | 14,122 1000 Int$ | +14.3% |
| 1982 | 12,357 1000 Int$ | -12.5% |
| 1983 | 13,535 1000 Int$ | +9.5% |
| 1984 | 8,827 1000 Int$ | -34.8% |
| 1985 | 12,357 1000 Int$ | +40.0% |
| 1986 | 14,122 1000 Int$ | +14.3% |
| 1987 | 14,122 1000 Int$ | +0.0% |
| 1988 | 12,946 1000 Int$ | -8.3% |
| 1989 | 14,711 1000 Int$ | +13.6% |
| 1990 | 11,279 1000 Int$ | -23.3% |
| 1991 | 13,976 1000 Int$ | +23.9% |
| 1992 | 34,030 1000 Int$ | +143.5% |
| 1993 | 17,310 1000 Int$ | -49.1% |
| 1994 | 6,489 1000 Int$ | -62.5% |
| 1995 | 7,291 1000 Int$ | +12.4% |
| 1996 | 5,862 1000 Int$ | -19.6% |
| 1997 | 3,850 1000 Int$ | -34.3% |
| 1998 | 3,054 1000 Int$ | -20.7% |
| 1999 | 2,839 1000 Int$ | -7.0% |
| 2000 | 1,004 1000 Int$ | -64.6% |
| 2001 | 2,242 1000 Int$ | +123.3% |
| 2002 | 4,091 1000 Int$ | +82.5% |
| 2003 | 2,010 1000 Int$ | -50.9% |
| 2004 | 3,871 1000 Int$ | +92.6% |
| 2005 | 4,646 1000 Int$ | +20.0% |
| 2006 | 2,378 1000 Int$ | -48.8% |
| 2007 | 1,225 1000 Int$ | -48.5% |
| 2008 | 665 1000 Int$ | -45.7% |
| 2009 | 114 1000 Int$ | -82.9% |
| 2010 | 96 1000 Int$ | -15.8% |
| 2011 | 141 1000 Int$ | +46.9% |
| 2012 | 212 1000 Int$ | +50.4% |
| 2013 | 151 1000 Int$ | -28.8% |
| 2014 | 31 1000 Int$ | -79.5% |
| 2015 | 16 1000 Int$ | -48.4% |
| 2016 | 14 1000 Int$ | -12.5% |
| 2017 | 28 1000 Int$ | +100.0% |
| 2018 | 75 1000 Int$ | +167.9% |
| 2019 | 63 1000 Int$ | -16.0% |
| 2020 | 113 1000 Int$ | +79.4% |
| 2021 | 75 1000 Int$ | -33.6% |
| 2022 | 90 1000 Int$ | +20.0% |
| 2023 | 72 1000 Int$ | -20.0% |
| 2024 | 63 1000 Int$ | -12.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 118.11 1000 Int$ | 28 1000 Int$ | 414 1000 Int$ | 9 |
| 1970s | 1,309 1000 Int$ | 16 1000 Int$ | 7,062 1000 Int$ | 10 |
| 1980s | 12,946 1000 Int$ | 8,827 1000 Int$ | 14,711 1000 Int$ | 10 |
| 1990s | 10,598 1000 Int$ | 2,839 1000 Int$ | 34,030 1000 Int$ | 10 |
| 2000s | 2,225 1000 Int$ | 114 1000 Int$ | 4,646 1000 Int$ | 10 |
| 2010s | 82.7 1000 Int$ | 14 1000 Int$ | 212 1000 Int$ | 10 |
| 2020s | 82.6 1000 Int$ | 63 1000 Int$ | 113 1000 Int$ | 5 |
Countries ranked near Philippines
- 79 Algeria 75 1000 Int$ compare
- 80 Indonesia 72 1000 Int$ compare
- 81 Guadeloupe 66 1000 Int$ compare
- 83 Yugoslav SFR 38 1000 Int$ compare
- 84 Grenada 22 1000 Int$ compare
- 85 El Salvador 17 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)
- 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)
Frequently asked questions
- What is seed cotton, unginned — gross production value in Philippines?
- Seed cotton, unginned — gross production value in Philippines was 63 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest seed cotton, unginned — gross production value recorded in Philippines?
- The highest recorded value was 34,030 1000 Int$ in 1992.
- What is the lowest seed cotton, unginned — gross production value recorded in Philippines?
- The lowest recorded value was 14 1000 Int$ in 2016.
- How does Philippines rank for seed cotton, unginned — gross production value?
- Philippines ranks 82nd out of 94 countries with data for 2024.
- Is seed cotton, unginned — gross production value rising or falling in Philippines?
- Over the last ten years it is up 103.2%. 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 Seed cotton, unginned — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
Download this data
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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.