Grapes — Gross per capita Production Index Number in Croatia
Croatia: Grapes — Gross per capita Production Index Number was 86.63 in 2017. ▼ Falling
Grapes — Gross per capita Production Index Number in Croatia, 1992–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for grapes — gross per capita production index number in Croatia is 86.63, measured in 2017. That is the lowest value across all 26 years on record.
The figure is down 4.6% on the previous year and down 37.8% over ten years.
Over the whole period, grapes — gross per capita production index number in Croatia peaked at 287.85 in 1998 and was at its lowest, 86.63, in 2017.
Croatia ranks 54th of 84 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 26 years of available data.
Grapes — Gross per capita Production Index Number in Croatia, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 241.31 | — |
| 1993 | 254.4 | +5.4% |
| 1994 | 235.91 | -7.3% |
| 1995 | 223.07 | -5.4% |
| 1996 | 248.5 | +11.4% |
| 1997 | 273.91 | +10.2% |
| 1998 | 287.85 | +5.1% |
| 1999 | 273 | -5.2% |
| 2000 | 128.13 | -53.1% |
| 2001 | 131.52 | +2.6% |
| 2002 | 133.19 | +1.3% |
| 2003 | 129.42 | -2.8% |
| 2004 | 123.04 | -4.9% |
| 2005 | 127.5 | +3.6% |
| 2006 | 126.32 | -0.9% |
| 2007 | 139.37 | +10.3% |
| 2008 | 130.46 | -6.4% |
| 2009 | 145.51 | +11.5% |
| 2010 | 146.75 | +0.9% |
| 2011 | 145.06 | -1.2% |
| 2012 | 133.79 | -7.8% |
| 2013 | 129.7 | -3.1% |
| 2014 | 97.17 | -25.1% |
| 2015 | 112.01 | +15.3% |
| 2016 | 90.83 | -18.9% |
| 2017 | 86.63 | -4.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 254.74 | 223.07 | 287.85 | 8 |
| 2000s | 131.45 | 123.04 | 145.51 | 10 |
| 2010s | 117.74 | 86.63 | 146.75 | 8 |
Countries ranked near Croatia
More agriculture & rural data for Croatia
- Agriculture, forestry, and fishing, value added (current US$), annual 10.48 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0283 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 767.57 current US$ per person (2025)
- Rural population, annual growth rate -0.4457 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.4219 units per person (2025)
- Share of GDP from agriculture 2.8% (2025)
- Agriculture as a share of GDP vs. GDP per capita 2.8% (2025)
- Agricultural raw materials exports 3.5% (2024)
- Agricultural raw materials imports 0.9% (2024)
Frequently asked questions
- What is grapes — gross per capita production index number in Croatia?
- Grapes — gross per capita production index number in Croatia was 86.63 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest grapes — gross per capita production index number recorded in Croatia?
- The highest recorded value was 287.85 in 1998.
- What is the lowest grapes — gross per capita production index number recorded in Croatia?
- The lowest recorded value was 86.63 in 2017.
- How does Croatia rank for grapes — gross per capita production index number?
- Croatia ranks 54th out of 84 countries with data for 2017.
- Is grapes — gross per capita production index number rising or falling in Croatia?
- Over the last ten years it is down 37.8%. The long-run trend across the full record is falling.
- Where does this Croatia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Grapes — Gross per capita Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.