Raw milk of cattle — Gross Production Value in Papua New Guinea
Papua New Guinea: Raw milk of cattle — Gross Production Value was 68 1000 Int$ in 2024. ◆ Volatile
Latest (2024)
68 1000 Int$
Change on year
unchanged
World rank
179th
of 184 countries
All-time high
709 1000 Int$
in 1973
All-time low
54 1000 Int$
in 1998
Years of data
64
1961–2024
Raw milk of cattle — Gross Production Value in Papua New Guinea, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
In 2024, raw milk of cattle — gross production value in Papua New Guinea stood at 68 1000 Int$.
The figure is down 6.8% over ten years.
Over the whole period, raw milk of cattle — gross production value in Papua New Guinea peaked at 709 1000 Int$ in 1973 and was at its lowest, 54 1000 Int$, in 1998.
Papua New Guinea ranks 179th of 184 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Raw milk of cattle — Gross Production Value in Papua New Guinea, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 574 1000 Int$ | — |
| 1962 | 603 1000 Int$ | +5.1% |
| 1963 | 560 1000 Int$ | -7.1% |
| 1964 | 596 1000 Int$ | +6.4% |
| 1965 | 608 1000 Int$ | +2.0% |
| 1966 | 601 1000 Int$ | -1.2% |
| 1967 | 664 1000 Int$ | +10.5% |
| 1968 | 661 1000 Int$ | -0.5% |
| 1969 | 590 1000 Int$ | -10.7% |
| 1970 | 707 1000 Int$ | +19.8% |
| 1971 | 560 1000 Int$ | -20.8% |
| 1972 | 641 1000 Int$ | +14.5% |
| 1973 | 709 1000 Int$ | +10.6% |
| 1974 | 514 1000 Int$ | -27.5% |
| 1975 | 395 1000 Int$ | -23.2% |
| 1976 | 325 1000 Int$ | -17.7% |
| 1977 | 216 1000 Int$ | -33.5% |
| 1978 | 173 1000 Int$ | -19.9% |
| 1979 | 198 1000 Int$ | +14.5% |
| 1980 | 193 1000 Int$ | -2.5% |
| 1981 | 144 1000 Int$ | -25.4% |
| 1982 | 96 1000 Int$ | -33.3% |
| 1983 | 78 1000 Int$ | -18.8% |
| 1984 | 69 1000 Int$ | -11.5% |
| 1985 | 76 1000 Int$ | +10.1% |
| 1986 | 69 1000 Int$ | -9.2% |
| 1987 | 67 1000 Int$ | -2.9% |
| 1988 | 65 1000 Int$ | -3.0% |
| 1989 | 69 1000 Int$ | +6.2% |
| 1990 | 62 1000 Int$ | -10.1% |
| 1991 | 61 1000 Int$ | -1.6% |
| 1992 | 62 1000 Int$ | +1.6% |
| 1993 | 60 1000 Int$ | -3.2% |
| 1994 | 58 1000 Int$ | -3.3% |
| 1995 | 60 1000 Int$ | +3.4% |
| 1996 | 56 1000 Int$ | -6.7% |
| 1997 | 59 1000 Int$ | +5.4% |
| 1998 | 54 1000 Int$ | -8.5% |
| 1999 | 54 1000 Int$ | +0.0% |
| 2000 | 62 1000 Int$ | +14.8% |
| 2001 | 65 1000 Int$ | +4.8% |
| 2002 | 67 1000 Int$ | +3.1% |
| 2003 | 65 1000 Int$ | -3.0% |
| 2004 | 67 1000 Int$ | +3.1% |
| 2005 | 69 1000 Int$ | +3.0% |
| 2006 | 71 1000 Int$ | +2.9% |
| 2007 | 73 1000 Int$ | +2.8% |
| 2008 | 75 1000 Int$ | +2.7% |
| 2009 | 77 1000 Int$ | +2.7% |
| 2010 | 73 1000 Int$ | -5.2% |
| 2011 | 75 1000 Int$ | +2.7% |
| 2012 | 75 1000 Int$ | +0.0% |
| 2013 | 75 1000 Int$ | +0.0% |
| 2014 | 73 1000 Int$ | -2.7% |
| 2015 | 71 1000 Int$ | -2.7% |
| 2016 | 73 1000 Int$ | +2.8% |
| 2017 | 71 1000 Int$ | -2.7% |
| 2018 | 68 1000 Int$ | -4.2% |
| 2019 | 68 1000 Int$ | +0.0% |
| 2020 | 68 1000 Int$ | +0.0% |
| 2021 | 68 1000 Int$ | +0.0% |
| 2022 | 68 1000 Int$ | +0.0% |
| 2023 | 68 1000 Int$ | +0.0% |
| 2024 | 68 1000 Int$ | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 606.33 1000 Int$ | 560 1000 Int$ | 664 1000 Int$ | 9 |
| 1970s | 443.8 1000 Int$ | 173 1000 Int$ | 709 1000 Int$ | 10 |
| 1980s | 92.6 1000 Int$ | 65 1000 Int$ | 193 1000 Int$ | 10 |
| 1990s | 58.6 1000 Int$ | 54 1000 Int$ | 62 1000 Int$ | 10 |
| 2000s | 69.1 1000 Int$ | 62 1000 Int$ | 77 1000 Int$ | 10 |
| 2010s | 72.2 1000 Int$ | 68 1000 Int$ | 75 1000 Int$ | 10 |
| 2020s | 68 1000 Int$ | 68 1000 Int$ | 68 1000 Int$ | 5 |
Countries ranked near Papua New Guinea
- 176 New Caledonia 143 1000 Int$ compare
- 177 Tonga 136 1000 Int$ compare
- 178 French Guiana 119 1000 Int$ compare
- 180 Seychelles 67 1000 Int$ compare
- 181 Guadeloupe 66 1000 Int$ compare
- 182 China, Hong Kong SAR 25 1000 Int$ compare
- 182 Niue 25 1000 Int$ compare
More agriculture & rural data for Papua New Guinea
- Agriculture, forestry, and fishing, value added (current US$), annual 0.3264 % change on previous year (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1702 current US$ per US$ of GDP (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 495.76 current US$ per person (2024)
- Rural population, annual growth rate 1.31 % change on previous year (2025)
- Rural population, per unit of GDP 0.0003 units per US$ of GDP (2025)
- Rural population, per capita 0.8422 units per person (2025)
- Share of GDP from agriculture 17.0% (2024)
- Agriculture as a share of GDP vs. GDP per capita 17.0% (2024)
- Agricultural raw materials exports 2.6% (2023)
- Agricultural raw materials imports 0.5% (2023)
Frequently asked questions
- What is raw milk of cattle — gross production value in Papua New Guinea?
- Raw milk of cattle — gross production value in Papua New Guinea was 68 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 Papua New Guinea?
- The highest recorded value was 709 1000 Int$ in 1973.
- What is the lowest raw milk of cattle — gross production value recorded in Papua New Guinea?
- The lowest recorded value was 54 1000 Int$ in 1998.
- How does Papua New Guinea rank for raw milk of cattle — gross production value?
- Papua New Guinea ranks 179th out of 184 countries with data for 2024.
- Is raw milk of cattle — gross production value rising or falling in Papua New Guinea?
- Over the last ten years it is down 6.8%. The long-run trend across the full record is volatile.
- Where does this Papua New Guinea 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.
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.