Edible roots and tubers with high starch or inulin content, n.e.c. in Indonesia
Indonesia: Edible roots and tubers with high starch or inulin content, n.e.c. was 538.83 million 1000 SLC in 2024. ◆ Volatile
Edible roots and tubers with high starch or inulin content, n.e.c. in Indonesia, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 SLC.
Analysis
Indonesia recorded 538.83 million 1000 SLC for edible roots and tubers with high starch or inulin content, n.e.c. in 2024.
The figure is up 1.6% on the previous year and down 9.1% over ten years.
Over the whole period, edible roots and tubers with high starch or inulin content, n.e.c. in Indonesia peaked at 1.82 billion 1000 SLC in 1972 and was at its lowest, 294.49 million 1000 SLC, in 1982.
Indonesia ranks 1st of 48 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Edible roots and tubers with high starch or inulin content, n.e.c. in Indonesia, year by year
| Year | 1000 SLC | Change |
|---|---|---|
| 1961 | 1.18 billion 1000 SLC | — |
| 1962 | 1.23 billion 1000 SLC | +4.8% |
| 1963 | 1.29 billion 1000 SLC | +4.5% |
| 1964 | 1.35 billion 1000 SLC | +4.3% |
| 1965 | 1.40 billion 1000 SLC | +4.2% |
| 1966 | 1.46 billion 1000 SLC | +4.0% |
| 1967 | 1.51 billion 1000 SLC | +3.8% |
| 1968 | 1.64 billion 1000 SLC | +8.3% |
| 1969 | 1.70 billion 1000 SLC | +3.4% |
| 1970 | 1.72 billion 1000 SLC | +1.7% |
| 1971 | 1.75 billion 1000 SLC | +1.6% |
| 1972 | 1.82 billion 1000 SLC | +4.0% |
| 1973 | 1.81 billion 1000 SLC | -0.5% |
| 1974 | 1.81 billion 1000 SLC | +0.0% |
| 1975 | 603.01 million 1000 SLC | -66.7% |
| 1976 | 341.12 million 1000 SLC | -43.4% |
| 1977 | 333.41 million 1000 SLC | -2.3% |
| 1978 | 333.76 million 1000 SLC | +0.1% |
| 1979 | 497.83 million 1000 SLC | +49.2% |
| 1980 | 490.82 million 1000 SLC | -1.4% |
| 1981 | 329.55 million 1000 SLC | -32.9% |
| 1982 | 294.49 million 1000 SLC | -10.6% |
| 1983 | 311.32 million 1000 SLC | +5.7% |
| 1984 | 437.53 million 1000 SLC | +40.5% |
| 1985 | 441.74 million 1000 SLC | +1.0% |
| 1986 | 455.76 million 1000 SLC | +3.2% |
| 1987 | 448.75 million 1000 SLC | -1.5% |
| 1988 | 448.75 million 1000 SLC | +0.0% |
| 1989 | 448.75 million 1000 SLC | +0.0% |
| 1990 | 415.57 million 1000 SLC | -7.4% |
| 1991 | 443.75 million 1000 SLC | +6.8% |
| 1992 | 443.71 million 1000 SLC | -0.0% |
| 1993 | 450.15 million 1000 SLC | +1.5% |
| 1994 | 461.37 million 1000 SLC | +2.5% |
| 1995 | 462.77 million 1000 SLC | +0.3% |
| 1996 | 471.59 million 1000 SLC | +1.9% |
| 1997 | 480.63 million 1000 SLC | +1.9% |
| 1998 | 490.82 million 1000 SLC | +2.1% |
| 1999 | 502.75 million 1000 SLC | +2.4% |
| 2000 | 516.01 million 1000 SLC | +2.6% |
| 2001 | 532.89 million 1000 SLC | +3.3% |
| 2002 | 544.11 million 1000 SLC | +2.1% |
| 2003 | 518.87 million 1000 SLC | -4.6% |
| 2004 | 525.88 million 1000 SLC | +1.4% |
| 2005 | 528.68 million 1000 SLC | +0.5% |
| 2006 | 530.08 million 1000 SLC | +0.3% |
| 2007 | 532.89 million 1000 SLC | +0.5% |
| 2008 | 531.49 million 1000 SLC | -0.3% |
| 2009 | 518.87 million 1000 SLC | -2.4% |
| 2010 | 511.85 million 1000 SLC | -1.4% |
| 2011 | 532.89 million 1000 SLC | +4.1% |
| 2012 | 560.94 million 1000 SLC | +5.3% |
| 2013 | 588.98 million 1000 SLC | +5.0% |
| 2014 | 592.79 million 1000 SLC | +0.6% |
| 2015 | 594.52 million 1000 SLC | +0.3% |
| 2016 | 537.96 million 1000 SLC | -9.5% |
| 2017 | 607.09 million 1000 SLC | +12.9% |
| 2018 | 650.04 million 1000 SLC | +7.1% |
| 2019 | 504.62 million 1000 SLC | -22.4% |
| 2020 | 512.79 million 1000 SLC | +1.6% |
| 2021 | 514.66 million 1000 SLC | +0.4% |
| 2022 | 517.46 million 1000 SLC | +0.5% |
| 2023 | 530.08 million 1000 SLC | +2.4% |
| 2024 | 538.83 million 1000 SLC | +1.6% |
Indonesia compared with similar countries
- Indonesia's 538.83 million 1000 SLC is above the median for upper middle income countries, which is 70,957 1000 SLC, 7593.7× the median. (15 countries reporting)
- Indonesia's 538.83 million 1000 SLC is above the median for East Asia & Pacific, which is 1.85 million 1000 SLC, 291.8× the median. (8 countries reporting)
Biggest year-on-year movements
Years where Edible roots and tubers with high starch or inulin content, n.e.c. in Indonesia 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 |
|---|---|---|---|
| 1975 | -66.7% | 1.81 billion 1000 SLC | 603.01 million 1000 SLC |
| 1979 | +49.2% | 333.76 million 1000 SLC | 497.83 million 1000 SLC |
| 1976 | -43.4% | 603.01 million 1000 SLC | 341.12 million 1000 SLC |
| 1984 | +40.5% | 311.32 million 1000 SLC | 437.53 million 1000 SLC |
| 1981 | -32.9% | 490.82 million 1000 SLC | 329.55 million 1000 SLC |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 1.42 billion 1000 SLC | 1.18 billion 1000 SLC | 1.70 billion 1000 SLC | 9 |
| 1970s | 1.10 billion 1000 SLC | 333.41 million 1000 SLC | 1.82 billion 1000 SLC | 10 |
| 1980s | 410.75 million 1000 SLC | 294.49 million 1000 SLC | 490.82 million 1000 SLC | 10 |
| 1990s | 462.31 million 1000 SLC | 415.57 million 1000 SLC | 502.75 million 1000 SLC | 10 |
| 2000s | 527.98 million 1000 SLC | 516.01 million 1000 SLC | 544.11 million 1000 SLC | 10 |
| 2010s | 568.17 million 1000 SLC | 504.62 million 1000 SLC | 650.04 million 1000 SLC | 10 |
| 2020s | 522.76 million 1000 SLC | 512.79 million 1000 SLC | 538.83 million 1000 SLC | 5 |
Countries ranked near Indonesia
- 1 Côte d'Ivoire 3.20 million 1000 SLC compare
- 1 Venezuela (Bolivarian Republic of) 9.19 million 1000 SLC compare
- 2 Guinea-Bissau 427.99 million 1000 SLC compare
- 2 United Republic of Tanzania 772,129 1000 SLC compare
- 3 Bolivia (Plurinational State of) 81,873 1000 SLC compare
- 3 Colombia 245.49 million 1000 SLC compare
- 4 Cambodia 44.27 million 1000 SLC compare
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 edible roots and tubers with high starch or inulin content, n.e.c. in Indonesia?
- Edible roots and tubers with high starch or inulin content, n.e.c. in Indonesia was 538.83 million 1000 SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest edible roots and tubers with high starch or inulin content, n.e.c. recorded in Indonesia?
- The highest recorded value was 1.82 billion 1000 SLC in 1972.
- What is the lowest edible roots and tubers with high starch or inulin content, n.e.c. recorded in Indonesia?
- The lowest recorded value was 294.49 million 1000 SLC in 1982.
- How does Indonesia rank for edible roots and tubers with high starch or inulin content, n.e.c.?
- Indonesia ranks 1st out of 48 countries with data for 2024.
- Is edible roots and tubers with high starch or inulin content, n.e.c. rising or falling in Indonesia?
- Over the last ten years it is down 9.1%. 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 Edible roots and tubers with high starch or inulin content, n.e.c., fresh — Gross Production Value (constant 2014-2016 thousand SLC). 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.