Ginger, raw — Gross Production Index Number in Pakistan
Pakistan: Ginger, raw — Gross Production Index Number was 3.08 in 2024. ◆ Volatile
Ginger, raw — Gross Production Index Number in Pakistan, 1994–2024
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for ginger, raw — gross production index number in Pakistan is 3.08, measured in 2024.
Compared with earlier readings it is down 20.2% on the previous year and down 96.8% over ten years.
Over the whole period, ginger, raw — gross production index number in Pakistan peaked at 102.57 in 2016 and was at its lowest, 1.54, in 2020.
That places Pakistan 36th out of 36 countries with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Ginger, raw — Gross Production Index Number in Pakistan, year by year
| Year | Value | Change |
|---|---|---|
| 1994 | 29.31 | — |
| 1995 | 19.28 | -34.2% |
| 1996 | 20.05 | +4.0% |
| 1997 | 20.82 | +3.8% |
| 1998 | 21.59 | +3.7% |
| 1999 | 22.37 | +3.6% |
| 2000 | 20.82 | -6.9% |
| 2001 | 23.14 | +11.1% |
| 2002 | 27.76 | +20.0% |
| 2003 | 36.25 | +30.6% |
| 2004 | 31.62 | -12.8% |
| 2005 | 38.56 | +21.9% |
| 2006 | 23.91 | -38.0% |
| 2007 | 43.96 | +83.9% |
| 2008 | 73.26 | +66.7% |
| 2009 | 85.6 | +16.8% |
| 2010 | 88.69 | +3.6% |
| 2011 | 6.17 | -93.0% |
| 2012 | 87.15 | +1312.5% |
| 2013 | 95.63 | +9.7% |
| 2014 | 97.17 | +1.6% |
| 2015 | 100.26 | +3.2% |
| 2016 | 102.57 | +2.3% |
| 2017 | 101.8 | -0.8% |
| 2018 | 15.42 | -84.9% |
| 2019 | 6.17 | -60.0% |
| 2020 | 1.54 | -75.0% |
| 2021 | 3.08 | +100.0% |
| 2022 | 2.31 | -25.0% |
| 2023 | 3.86 | +67.1% |
| 2024 | 3.08 | -20.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 22.24 | 19.28 | 29.31 | 6 |
| 2000s | 40.49 | 20.82 | 85.6 | 10 |
| 2010s | 70.1 | 6.17 | 102.57 | 10 |
| 2020s | 2.77 | 1.54 | 3.86 | 5 |
Countries ranked near Pakistan
More agriculture & rural data for Pakistan
- Agriculture, forestry, and fishing, value added (current US$), annual 6.28 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.2302 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 367.4 current US$ per person (2025)
- Rural population, annual growth rate 0.984 % change on previous year (2025)
- Rural population, per unit of GDP 0.0004 units per US$ of GDP (2025)
- Rural population, per capita 0.6047 units per person (2025)
- Share of GDP from agriculture 23.0% (2025)
- Agriculture as a share of GDP vs. GDP per capita 23.0% (2025)
- Agricultural raw materials exports 1.6% (2024)
- Agricultural raw materials imports 4.3% (2024)
Frequently asked questions
- What is ginger, raw — gross production index number in Pakistan?
- Ginger, raw — gross production index number in Pakistan was 3.08 in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest ginger, raw — gross production index number recorded in Pakistan?
- The highest recorded value was 102.57 in 2016.
- What is the lowest ginger, raw — gross production index number recorded in Pakistan?
- The lowest recorded value was 1.54 in 2020.
- How does Pakistan rank for ginger, raw — gross production index number?
- Pakistan ranks 36th out of 36 countries with data for 2024.
- Is ginger, raw — gross production index number rising or falling in Pakistan?
- Over the last ten years it is down 96.8%. The long-run trend across the full record is volatile.
- Where does this Pakistan data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Ginger, raw — Gross Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
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About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.