Raw milk of cattle — Gross Production Value in Philippines
Philippines: Raw milk of cattle — Gross Production Value was 971,803 1000 SLC in 2024. ▲ Rising
Raw milk of cattle — Gross Production Value in Philippines, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
The most recent figure for raw milk of cattle — gross production value in Philippines is 971,803 1000 SLC, measured in 2024. That is the highest value across all 64 years on record.
Compared with earlier readings it is up 13.3% on the previous year and up 67.2% over ten years.
Over the whole period, raw milk of cattle — gross production value in Philippines peaked at 971,803 1000 SLC in 2024 and was at its lowest, 228,861 1000 SLC, in 1961.
Philippines ranks 94th of 137 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 64 years of available data.
Raw milk of cattle — Gross Production Value in Philippines, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 228,861 1000 SLC | — |
| 1962 | 257,469 1000 SLC | +12.5% |
| 1963 | 286,077 1000 SLC | +11.1% |
| 1964 | 318,146 1000 SLC | +11.2% |
| 1965 | 358,855 1000 SLC | +12.8% |
| 1966 | 371,900 1000 SLC | +3.6% |
| 1967 | 357,596 1000 SLC | -3.8% |
| 1968 | 371,900 1000 SLC | +4.0% |
| 1969 | 328,988 1000 SLC | -11.5% |
| 1970 | 343,292 1000 SLC | +4.3% |
| 1971 | 357,596 1000 SLC | +4.2% |
| 1972 | 382,685 1000 SLC | +7.0% |
| 1973 | 365,263 1000 SLC | -4.6% |
| 1974 | 434,093 1000 SLC | +18.8% |
| 1975 | 377,021 1000 SLC | -13.1% |
| 1976 | 379,538 1000 SLC | +0.7% |
| 1977 | 389,236 1000 SLC | +2.6% |
| 1978 | 436,296 1000 SLC | +12.1% |
| 1979 | 429,115 1000 SLC | -1.6% |
| 1980 | 371,900 1000 SLC | -13.3% |
| 1981 | 400,507 1000 SLC | +7.7% |
| 1982 | 414,811 1000 SLC | +3.6% |
| 1983 | 429,115 1000 SLC | +3.4% |
| 1984 | 429,115 1000 SLC | +0.0% |
| 1985 | 429,115 1000 SLC | +0.0% |
| 1986 | 429,115 1000 SLC | +0.0% |
| 1987 | 429,115 1000 SLC | +0.0% |
| 1988 | 429,115 1000 SLC | +0.0% |
| 1989 | 429,115 1000 SLC | +0.0% |
| 1990 | 548,981 1000 SLC | +27.9% |
| 1991 | 540,399 1000 SLC | -1.6% |
| 1992 | 441,130 1000 SLC | -18.4% |
| 1993 | 357,596 1000 SLC | -18.9% |
| 1994 | 346,153 1000 SLC | -3.2% |
| 1995 | 346,439 1000 SLC | +0.1% |
| 1996 | 328,988 1000 SLC | -5.0% |
| 1997 | 292,370 1000 SLC | -11.1% |
| 1998 | 264,335 1000 SLC | -9.6% |
| 1999 | 281,786 1000 SLC | +6.6% |
| 2000 | 300,838 1000 SLC | +6.8% |
| 2001 | 318,232 1000 SLC | +5.8% |
| 2002 | 324,125 1000 SLC | +1.9% |
| 2003 | 331,506 1000 SLC | +2.3% |
| 2004 | 340,346 1000 SLC | +2.7% |
| 2005 | 363,604 1000 SLC | +6.8% |
| 2006 | 376,878 1000 SLC | +3.7% |
| 2007 | 394,843 1000 SLC | +4.8% |
| 2008 | 406,916 1000 SLC | +3.1% |
| 2009 | 425,568 1000 SLC | +4.6% |
| 2010 | 467,478 1000 SLC | +9.8% |
| 2011 | 484,872 1000 SLC | +3.7% |
| 2012 | 543,546 1000 SLC | +12.1% |
| 2013 | 575,472 1000 SLC | +5.9% |
| 2014 | 581,365 1000 SLC | +1.0% |
| 2015 | 600,818 1000 SLC | +3.3% |
| 2016 | 623,504 1000 SLC | +3.8% |
| 2017 | 670,650 1000 SLC | +7.6% |
| 2018 | 698,056 1000 SLC | +4.1% |
| 2019 | 718,367 1000 SLC | +2.9% |
| 2020 | 787,026 1000 SLC | +9.6% |
| 2021 | 774,953 1000 SLC | -1.5% |
| 2022 | 892,216 1000 SLC | +15.1% |
| 2023 | 857,658 1000 SLC | -3.9% |
| 2024 | 971,803 1000 SLC | +13.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 319,977 1000 SLC | 228,861 1000 SLC | 371,900 1000 SLC | 9 |
| 1970s | 389,414 1000 SLC | 343,292 1000 SLC | 436,296 1000 SLC | 10 |
| 1980s | 419,102 1000 SLC | 371,900 1000 SLC | 429,115 1000 SLC | 10 |
| 1990s | 374,818 1000 SLC | 264,335 1000 SLC | 548,981 1000 SLC | 10 |
| 2000s | 358,286 1000 SLC | 300,838 1000 SLC | 425,568 1000 SLC | 10 |
| 2010s | 596,413 1000 SLC | 467,478 1000 SLC | 718,367 1000 SLC | 10 |
| 2020s | 856,731 1000 SLC | 774,953 1000 SLC | 971,803 1000 SLC | 5 |
Countries ranked near Philippines
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 raw milk of cattle — gross production value in Philippines?
- Raw milk of cattle — gross production value in Philippines was 971,803 1000 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest raw milk of cattle — gross production value recorded in Philippines?
- The highest recorded value was 971,803 1000 SLC in 2024.
- What is the lowest raw milk of cattle — gross production value recorded in Philippines?
- The lowest recorded value was 228,861 1000 SLC in 1961.
- How does Philippines rank for raw milk of cattle — gross production value?
- Philippines ranks 94th out of 137 countries with data for 2024.
- Is raw milk of cattle — gross production value rising or falling in Philippines?
- Over the last ten years it is up 67.2%. The long-run trend across the full record is rising.
- Where does this Philippines data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Raw milk of cattle — Gross Production Value (constant 2014-2016 thousand SLC). 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.