Other nuts (excluding wild edible nuts and groundnuts), in shell in Peru
Peru: Other nuts (excluding wild edible nuts and groundnuts), in shell was 7,866 1000 SLC in 2024. ◆ Volatile
Other nuts (excluding wild edible nuts and groundnuts), in shell in Peru, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
In 2024, other nuts (excluding wild edible nuts and groundnuts), in shell in Peru stood at 7,866 1000 SLC.
Compared with earlier readings it is down 0.5% on the previous year and up 3.7% over ten years.
Over the whole period, other nuts (excluding wild edible nuts and groundnuts), in shell in Peru peaked at 8,008 1000 SLC in 2015 and was at its lowest, 421 1000 SLC, in 1968.
That places Peru 33rd out of 45 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.
Other nuts (excluding wild edible nuts and groundnuts), in shell in Peru, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 887 1000 SLC | — |
| 1962 | 1,331 1000 SLC | +50.1% |
| 1963 | 1,774 1000 SLC | +33.3% |
| 1964 | 2,058 1000 SLC | +16.0% |
| 1965 | 1,109 1000 SLC | -46.1% |
| 1966 | 603 1000 SLC | -45.6% |
| 1967 | 652 1000 SLC | +8.1% |
| 1968 | 421 1000 SLC | -35.4% |
| 1969 | 492 1000 SLC | +16.9% |
| 1970 | 1,047 1000 SLC | +112.8% |
| 1971 | 1,597 1000 SLC | +52.5% |
| 1972 | 1,251 1000 SLC | -21.7% |
| 1973 | 1,721 1000 SLC | +37.6% |
| 1974 | 1,694 1000 SLC | -1.6% |
| 1975 | 1,765 1000 SLC | +4.2% |
| 1976 | 1,765 1000 SLC | +0.0% |
| 1977 | 1,947 1000 SLC | +10.3% |
| 1978 | 2,266 1000 SLC | +16.4% |
| 1979 | 2,670 1000 SLC | +17.8% |
| 1980 | 2,635 1000 SLC | -1.3% |
| 1981 | 3,083 1000 SLC | +17.0% |
| 1982 | 3,304 1000 SLC | +7.2% |
| 1983 | 2,785 1000 SLC | -15.7% |
| 1984 | 2,936 1000 SLC | +5.4% |
| 1985 | 3,127 1000 SLC | +6.5% |
| 1986 | 2,954 1000 SLC | -5.5% |
| 1987 | 2,887 1000 SLC | -2.3% |
| 1988 | 2,785 1000 SLC | -3.5% |
| 1989 | 3,606 1000 SLC | +29.5% |
| 1990 | 3,659 1000 SLC | +1.5% |
| 1991 | 2,648 1000 SLC | -27.6% |
| 1992 | 2,027 1000 SLC | -23.5% |
| 1993 | 2,244 1000 SLC | +10.7% |
| 1994 | 2,910 1000 SLC | +29.7% |
| 1995 | 3,890 1000 SLC | +33.7% |
| 1996 | 3,868 1000 SLC | -0.6% |
| 1997 | 3,757 1000 SLC | -2.9% |
| 1998 | 4,400 1000 SLC | +17.1% |
| 1999 | 5,792 1000 SLC | +31.6% |
| 2000 | 5,983 1000 SLC | +3.3% |
| 2001 | 5,823 1000 SLC | -2.7% |
| 2002 | 5,070 1000 SLC | -12.9% |
| 2003 | 5,376 1000 SLC | +6.0% |
| 2004 | 5,140 1000 SLC | -4.4% |
| 2005 | 5,211 1000 SLC | +1.4% |
| 2006 | 6,360 1000 SLC | +22.0% |
| 2007 | 6,680 1000 SLC | +5.0% |
| 2008 | 6,697 1000 SLC | +0.3% |
| 2009 | 6,742 1000 SLC | +0.7% |
| 2010 | 6,876 1000 SLC | +2.0% |
| 2011 | 7,251 1000 SLC | +5.5% |
| 2012 | 7,162 1000 SLC | -1.2% |
| 2013 | 7,296 1000 SLC | +1.9% |
| 2014 | 7,585 1000 SLC | +4.0% |
| 2015 | 8,008 1000 SLC | +5.6% |
| 2016 | 7,630 1000 SLC | -4.7% |
| 2017 | 7,531 1000 SLC | -1.3% |
| 2018 | 7,630 1000 SLC | +1.3% |
| 2019 | 7,814 1000 SLC | +2.4% |
| 2020 | 8,008 1000 SLC | +2.5% |
| 2021 | 7,817 1000 SLC | -2.4% |
| 2022 | 7,880 1000 SLC | +0.8% |
| 2023 | 7,902 1000 SLC | +0.3% |
| 2024 | 7,866 1000 SLC | -0.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1,036 1000 SLC | 421 1000 SLC | 2,058 1000 SLC | 9 |
| 1970s | 1,772 1000 SLC | 1,047 1000 SLC | 2,670 1000 SLC | 10 |
| 1980s | 3,010 1000 SLC | 2,635 1000 SLC | 3,606 1000 SLC | 10 |
| 1990s | 3,520 1000 SLC | 2,027 1000 SLC | 5,792 1000 SLC | 10 |
| 2000s | 5,908 1000 SLC | 5,070 1000 SLC | 6,742 1000 SLC | 10 |
| 2010s | 7,478 1000 SLC | 6,876 1000 SLC | 8,008 1000 SLC | 10 |
| 2020s | 7,895 1000 SLC | 7,817 1000 SLC | 8,008 1000 SLC | 5 |
Countries ranked near Peru
- 30 Azerbaijan 9,079 1000 SLC compare
- 31 Chile 8,979 1000 SLC compare
- 32 Turkmenistan 8,403 1000 SLC compare
- 34 Portugal 5,509 1000 SLC compare
- 35 Tajikistan 4,769 1000 SLC compare
- 36 Italy 4,560 1000 SLC compare
More agriculture & rural data for Peru
- Agriculture, forestry, and fishing, value added (current US$), annual 12.59 % change on previous year (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0747 current US$ per US$ of GDP (2024)
- Agriculture, forestry, and fishing, value added (current US$), per 637.02 current US$ per person (2024)
- Rural population, annual growth rate -1.72 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.144 units per person (2025)
- Agriculture share gdp 7.47 (2024)
- Value added in the agricultural sector as of gdp vs gdp per capita 7.47 (2024)
- Agricultural raw materials exports 0.6% (2024)
- Agricultural raw materials imports 1.2% (2024)
Frequently asked questions
- What is other nuts (excluding wild edible nuts and groundnuts), in shell in Peru?
- Other nuts (excluding wild edible nuts and groundnuts), in shell in Peru was 7,866 1000 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest other nuts (excluding wild edible nuts and groundnuts), in shell recorded in Peru?
- The highest recorded value was 8,008 1000 SLC in 2015.
- What is the lowest other nuts (excluding wild edible nuts and groundnuts), in shell recorded in Peru?
- The lowest recorded value was 421 1000 SLC in 1968.
- How does Peru rank for other nuts (excluding wild edible nuts and groundnuts), in shell?
- Peru ranks 33rd out of 45 countries with data for 2024.
- Is other nuts (excluding wild edible nuts and groundnuts), in shell rising or falling in Peru?
- Over the last ten years it is up 3.7%. The long-run trend across the full record is volatile.
- Where does this Peru data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Other nuts (excluding wild edible nuts and groundnuts), in shell, n.e.c. — Gross Production Value (constant 2014-2016 thousand SLC). 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.