Oranges: Gross Production Value (constant 2014-2016) … square in Philippines
Philippines: Oranges: Gross Production Value (constant 2014-2016) … square was 0.0016 1000 Int$ per square kilometre in 2023. ◆ Volatile
Oranges — Gross Production Value (constant 2014-2016 thousand I$) in Philippines, 1961–2023
Source: Statizoid (derived). Measured in 1000 Int$ per square kilometre.
Analysis
In 2023, oranges — gross production value (constant 2014-2016 thousand i$) in Philippines stood at 0.0016 1000 Int$ per square kilometre. That is the lowest value across all 63 years on record.
The figure is down 2.4% on the previous year and down 57.7% over ten years.
Over the whole period, oranges — gross production value (constant 2014-2016 thousand i$) in Philippines peaked at 0.0257 1000 Int$ per square kilometre in 1982 and was at its lowest, 0.0016 1000 Int$ per square kilometre, in 2023.
Philippines ranks 96th of 102 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Oranges: Gross Production Value (constant 2014-2016) … square in Philippines, year by year
| Year | 1000 Int$ per square kilometre | Change |
|---|---|---|
| 1961 | 0.0056 1000 Int$ per square kilometre | — |
| 1962 | 0.0074 1000 Int$ per square kilometre | +33.4% |
| 1963 | 0.0076 1000 Int$ per square kilometre | +2.4% |
| 1964 | 0.0073 1000 Int$ per square kilometre | -3.7% |
| 1965 | 0.0101 1000 Int$ per square kilometre | +38.2% |
| 1966 | 0.0096 1000 Int$ per square kilometre | -5.5% |
| 1967 | 0.0104 1000 Int$ per square kilometre | +8.9% |
| 1968 | 0.0104 1000 Int$ per square kilometre | -0.3% |
| 1969 | 0.0109 1000 Int$ per square kilometre | +5.1% |
| 1970 | 0.0122 1000 Int$ per square kilometre | +11.3% |
| 1971 | 0.0106 1000 Int$ per square kilometre | -12.9% |
| 1972 | 0.0133 1000 Int$ per square kilometre | +25.0% |
| 1973 | 0.0148 1000 Int$ per square kilometre | +11.3% |
| 1974 | 0.0121 1000 Int$ per square kilometre | -18.0% |
| 1975 | 0.012 1000 Int$ per square kilometre | -1.1% |
| 1976 | 0.0194 1000 Int$ per square kilometre | +61.5% |
| 1977 | 0.0207 1000 Int$ per square kilometre | +6.8% |
| 1978 | 0.0215 1000 Int$ per square kilometre | +3.9% |
| 1979 | 0.0201 1000 Int$ per square kilometre | -6.1% |
| 1980 | 0.0211 1000 Int$ per square kilometre | +4.6% |
| 1981 | 0.0237 1000 Int$ per square kilometre | +12.5% |
| 1982 | 0.0257 1000 Int$ per square kilometre | +8.5% |
| 1983 | 0.0217 1000 Int$ per square kilometre | -15.6% |
| 1984 | 0.0214 1000 Int$ per square kilometre | -1.2% |
| 1985 | 0.0203 1000 Int$ per square kilometre | -5.2% |
| 1986 | 0.0219 1000 Int$ per square kilometre | +7.5% |
| 1987 | 0.0178 1000 Int$ per square kilometre | -18.7% |
| 1988 | 0.0196 1000 Int$ per square kilometre | +10.3% |
| 1989 | 0.0197 1000 Int$ per square kilometre | +0.6% |
| 1990 | 0.0101 1000 Int$ per square kilometre | -48.8% |
| 1991 | 0.0102 1000 Int$ per square kilometre | +1.3% |
| 1992 | 0.0097 1000 Int$ per square kilometre | -4.9% |
| 1993 | 0.0092 1000 Int$ per square kilometre | -5.8% |
| 1994 | 0.009 1000 Int$ per square kilometre | -1.3% |
| 1995 | 0.009 1000 Int$ per square kilometre | +0.1% |
| 1996 | 0.0095 1000 Int$ per square kilometre | +5.3% |
| 1997 | 0.0101 1000 Int$ per square kilometre | +6.4% |
| 1998 | 0.0093 1000 Int$ per square kilometre | -7.9% |
| 1999 | 0.009 1000 Int$ per square kilometre | -4.0% |
| 2000 | 0.0088 1000 Int$ per square kilometre | -2.0% |
| 2001 | 0.009 1000 Int$ per square kilometre | +2.8% |
| 2002 | 0.0085 1000 Int$ per square kilometre | -5.3% |
| 2003 | 0.0081 1000 Int$ per square kilometre | -4.8% |
| 2004 | 0.0069 1000 Int$ per square kilometre | -15.3% |
| 2005 | 0.0063 1000 Int$ per square kilometre | -7.9% |
| 2006 | 0.0057 1000 Int$ per square kilometre | -9.6% |
| 2007 | 0.0056 1000 Int$ per square kilometre | -1.6% |
| 2008 | 0.0053 1000 Int$ per square kilometre | -5.4% |
| 2009 | 0.0051 1000 Int$ per square kilometre | -4.3% |
| 2010 | 0.0047 1000 Int$ per square kilometre | -7.0% |
| 2011 | 0.0044 1000 Int$ per square kilometre | -8.1% |
| 2012 | 0.0042 1000 Int$ per square kilometre | -3.9% |
| 2013 | 0.0038 1000 Int$ per square kilometre | -8.2% |
| 2014 | 0.0036 1000 Int$ per square kilometre | -5.3% |
| 2015 | 0.0035 1000 Int$ per square kilometre | -3.2% |
| 2016 | 0.0031 1000 Int$ per square kilometre | -11.1% |
| 2017 | 0.0029 1000 Int$ per square kilometre | -7.9% |
| 2018 | 0.0026 1000 Int$ per square kilometre | -10.1% |
| 2019 | 0.0023 1000 Int$ per square kilometre | -10.6% |
| 2020 | 0.002 1000 Int$ per square kilometre | -15.7% |
| 2021 | 0.0018 1000 Int$ per square kilometre | -10.0% |
| 2022 | 0.0017 1000 Int$ per square kilometre | -5.2% |
| 2023 | 0.0016 1000 Int$ per square kilometre | -2.4% |
Philippines compared with similar countries
- Philippines's 0.0016 1000 Int$ per square kilometre is below the median for upper middle income countries, which is 0.1795 1000 Int$ per square kilometre, 1% of the median. (37 countries reporting)
- Philippines's 0.0016 1000 Int$ per square kilometre is below the median for East Asia & Pacific, which is 0.0251 1000 Int$ per square kilometre, 6% of the median. (13 countries reporting)
Biggest year-on-year movements
Years where Oranges: Gross Production Value (constant 2014-2016) … square 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 |
|---|---|---|---|
| 1976 | +61.5% | 0.012 1000 Int$ per square kilometre | 0.0194 1000 Int$ per square kilometre |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.0088 1000 Int$ per square kilometre | 0.0056 1000 Int$ per square kilometre | 0.0109 1000 Int$ per square kilometre | 9 |
| 1970s | 0.0157 1000 Int$ per square kilometre | 0.0106 1000 Int$ per square kilometre | 0.0215 1000 Int$ per square kilometre | 10 |
| 1980s | 0.0213 1000 Int$ per square kilometre | 0.0178 1000 Int$ per square kilometre | 0.0257 1000 Int$ per square kilometre | 10 |
| 1990s | 0.0095 1000 Int$ per square kilometre | 0.009 1000 Int$ per square kilometre | 0.0102 1000 Int$ per square kilometre | 10 |
| 2000s | 0.0069 1000 Int$ per square kilometre | 0.0051 1000 Int$ per square kilometre | 0.009 1000 Int$ per square kilometre | 10 |
| 2010s | 0.0035 1000 Int$ per square kilometre | 0.0023 1000 Int$ per square kilometre | 0.0047 1000 Int$ per square kilometre | 10 |
| 2020s | 0.0018 1000 Int$ per square kilometre | 0.0016 1000 Int$ per square kilometre | 0.002 1000 Int$ per square kilometre | 4 |
Countries ranked near Philippines
- 93 Botswana 0.0022 1000 Int$ per square kilometre compare
- 94 Congo 0.0021 1000 Int$ per square kilometre compare
- 95 Zambia 0.0018 1000 Int$ per square kilometre compare
- 97 French Polynesia 0.0014 1000 Int$ per square kilometre compare
- 98 Croatia 0.001 1000 Int$ per square kilometre compare
- 99 Bosnia and Herzegovina 0.0009 1000 Int$ per square kilometre 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 oranges — gross production value (constant 2014-2016 thousand i$) in Philippines?
- Oranges — gross production value (constant 2014-2016 thousand i$) in Philippines was 0.0016 1000 Int$ per square kilometre in 2023, according to Statizoid (derived).
- What is the highest oranges — gross production value (constant 2014-2016 thousand i$) recorded in Philippines?
- The highest recorded value was 0.0257 1000 Int$ per square kilometre in 1982.
- What is the lowest oranges — gross production value (constant 2014-2016 thousand i$) recorded in Philippines?
- The lowest recorded value was 0.0016 1000 Int$ per square kilometre in 2023.
- How does Philippines rank for oranges — gross production value (constant 2014-2016 thousand i$)?
- Philippines ranks 96th out of 102 countries with data for 2023.
- Is oranges — gross production value (constant 2014-2016 thousand i$) rising or falling in Philippines?
- Over the last ten years it is down 57.7%. The long-run trend across the full record is volatile.
- Where does this Philippines data come from?
- The figures come from Statizoid (derived), published as part of Oranges — Gross Production Value (constant 2014-2016 thousand I$), per square kilometre. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 63 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
Oranges — Gross Production Value (constant 2014-2016 thousand I$) divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.
Oranges — Gross Production Value (constant 2014-2016 thousand I$) ÷ Land area (sq. km)
Computed from
- Oranges — Gross Production Value Food and Agriculture Organization of the United Nations
- Land area FAOSTAT, Food and Agriculture Organization of the United Nations (FAO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
Oranges — Gross Production Value (constant 2014-2016 thousand I$) divided by Land area (sq. km), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.