Raw milk of cattle — Gross Production Value in Indonesia
Indonesia: Raw milk of cattle — Gross Production Value was 336,397 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
336,397 1000 Int$
Change on year
up 2.7%
World rank
79th
of 184 countries
All-time high
405,620 1000 Int$
in 2011
All-time low
12,027 1000 Int$
in 1969
Years of data
64
1961–2024
Raw milk of cattle — Gross Production Value in Indonesia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
The most recent figure for raw milk of cattle — gross production value in Indonesia is 336,397 1000 Int$, measured in 2024.
The figure is up 2.7% on the previous year and up 0.9% over ten years.
Over the whole period, raw milk of cattle — gross production value in Indonesia peaked at 405,620 1000 Int$ in 2011 and was at its lowest, 12,027 1000 Int$, in 1969.
That places Indonesia 79th out of 184 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Raw milk of cattle — Gross Production Value in Indonesia, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 13,892 1000 Int$ | — |
| 1962 | 14,459 1000 Int$ | +4.1% |
| 1963 | 13,763 1000 Int$ | -4.8% |
| 1964 | 15,779 1000 Int$ | +14.6% |
| 1965 | 17,114 1000 Int$ | +8.5% |
| 1966 | 18,380 1000 Int$ | +7.4% |
| 1967 | 15,814 1000 Int$ | -14.0% |
| 1968 | 14,981 1000 Int$ | -5.3% |
| 1969 | 12,027 1000 Int$ | -19.7% |
| 1970 | 12,193 1000 Int$ | +1.4% |
| 1971 | 14,898 1000 Int$ | +22.2% |
| 1972 | 15,689 1000 Int$ | +5.3% |
| 1973 | 14,565 1000 Int$ | -7.2% |
| 1974 | 23,679 1000 Int$ | +62.6% |
| 1975 | 21,265 1000 Int$ | -10.2% |
| 1976 | 24,137 1000 Int$ | +13.5% |
| 1977 | 25,260 1000 Int$ | +4.7% |
| 1978 | 25,926 1000 Int$ | +2.6% |
| 1979 | 30,046 1000 Int$ | +15.9% |
| 1980 | 32,626 1000 Int$ | +8.6% |
| 1981 | 35,706 1000 Int$ | +9.4% |
| 1982 | 48,939 1000 Int$ | +37.1% |
| 1983 | 72,660 1000 Int$ | +48.5% |
| 1984 | 74,491 1000 Int$ | +2.5% |
| 1985 | 79,859 1000 Int$ | +7.2% |
| 1986 | 91,637 1000 Int$ | +14.7% |
| 1987 | 97,754 1000 Int$ | +6.7% |
| 1988 | 110,239 1000 Int$ | +12.8% |
| 1989 | 140,742 1000 Int$ | +27.7% |
| 1990 | 143,822 1000 Int$ | +2.2% |
| 1991 | 149,898 1000 Int$ | +4.2% |
| 1992 | 152,803 1000 Int$ | +1.9% |
| 1993 | 161,267 1000 Int$ | +5.5% |
| 1994 | 177,584 1000 Int$ | +10.1% |
| 1995 | 180,378 1000 Int$ | +1.6% |
| 1996 | 183,591 1000 Int$ | +1.8% |
| 1997 | 176,308 1000 Int$ | -4.0% |
| 1998 | 156,216 1000 Int$ | -11.4% |
| 1999 | 181,441 1000 Int$ | +16.1% |
| 2000 | 207,184 1000 Int$ | +14.2% |
| 2001 | 199,731 1000 Int$ | -3.6% |
| 2002 | 205,319 1000 Int$ | +2.8% |
| 2003 | 230,316 1000 Int$ | +12.2% |
| 2004 | 228,860 1000 Int$ | -0.6% |
| 2005 | 223,041 1000 Int$ | -2.5% |
| 2006 | 256,578 1000 Int$ | +15.0% |
| 2007 | 236,242 1000 Int$ | -7.9% |
| 2008 | 269,230 1000 Int$ | +14.0% |
| 2009 | 344,261 1000 Int$ | +27.9% |
| 2010 | 378,504 1000 Int$ | +9.9% |
| 2011 | 405,620 1000 Int$ | +7.2% |
| 2012 | 399,394 1000 Int$ | -1.5% |
| 2013 | 327,458 1000 Int$ | -18.0% |
| 2014 | 333,234 1000 Int$ | +1.8% |
| 2015 | 347,539 1000 Int$ | +4.3% |
| 2016 | 379,836 1000 Int$ | +9.3% |
| 2017 | 386,234 1000 Int$ | +1.7% |
| 2018 | 395,762 1000 Int$ | +2.5% |
| 2019 | 393,071 1000 Int$ | -0.7% |
| 2020 | 394,059 1000 Int$ | +0.3% |
| 2021 | 393,841 1000 Int$ | -0.1% |
| 2022 | 403,243 1000 Int$ | +2.4% |
| 2023 | 327,667 1000 Int$ | -18.7% |
| 2024 | 336,397 1000 Int$ | +2.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 15,134 1000 Int$ | 12,027 1000 Int$ | 18,380 1000 Int$ | 9 |
| 1970s | 20,766 1000 Int$ | 12,193 1000 Int$ | 30,046 1000 Int$ | 10 |
| 1980s | 78,465 1000 Int$ | 32,626 1000 Int$ | 140,742 1000 Int$ | 10 |
| 1990s | 166,331 1000 Int$ | 143,822 1000 Int$ | 183,591 1000 Int$ | 10 |
| 2000s | 240,076 1000 Int$ | 199,731 1000 Int$ | 344,261 1000 Int$ | 10 |
| 2010s | 374,665 1000 Int$ | 327,458 1000 Int$ | 405,620 1000 Int$ | 10 |
| 2020s | 371,041 1000 Int$ | 327,667 1000 Int$ | 403,243 1000 Int$ | 5 |
Countries ranked near Indonesia
More agriculture & rural data for Indonesia
- Agriculture, forestry, and fishing, value added (current US$), annual 7.56 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.131 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 662.79 current US$ per person (2025)
- Rural population, annual growth rate -0.7808 % change on previous year (2025)
- Rural population, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Rural population, per capita 0.4061 units per person (2025)
- Share of GDP from agriculture 13.1% (2025)
- Agriculture as a share of GDP vs. GDP per capita 13.1% (2025)
- Agricultural raw materials exports 3.7% (2025)
- Agricultural raw materials imports 1.9% (2025)
Frequently asked questions
- What is raw milk of cattle — gross production value in Indonesia?
- Raw milk of cattle — gross production value in Indonesia was 336,397 1000 Int$ 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 Indonesia?
- The highest recorded value was 405,620 1000 Int$ in 2011.
- What is the lowest raw milk of cattle — gross production value recorded in Indonesia?
- The lowest recorded value was 12,027 1000 Int$ in 1969.
- How does Indonesia rank for raw milk of cattle — gross production value?
- Indonesia ranks 79th out of 184 countries with data for 2024.
- Is raw milk of cattle — gross production value rising or falling in Indonesia?
- Over the last ten years it is up 0.9%. The long-run trend across the full record is volatile.
- Where does this Indonesia 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 I$). Statizoid updates them automatically from the source API.
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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.