Sugar beet — Gross per capita Production Index Number in Croatia
Croatia: Sugar beet — Gross per capita Production Index Number was 120.07 in 2017. ▲ Rising
Sugar beet — Gross per capita Production Index Number in Croatia, 1992–2017
Source: Food and Agriculture Organization of the United Nations.
Analysis
Croatia recorded 120.07 for sugar beet — gross per capita production index number in 2017.
That represents a change of up 12.3% on the previous year and down 13.4% over ten years.
Over the whole period, sugar beet — gross per capita production index number in Croatia peaked at 138.64 in 2007 and was at its lowest, 41.52, in 1992.
Croatia ranks 15th of 50 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 26 years of available data.
Sugar beet — Gross per capita Production Index Number in Croatia, year by year
| Year | Value | Change |
|---|---|---|
| 1992 | 41.52 | — |
| 1993 | 42.94 | +3.4% |
| 1994 | 47.86 | +11.5% |
| 1995 | 56.53 | +18.1% |
| 1996 | 75.1 | +32.8% |
| 1997 | 78.16 | +4.1% |
| 1998 | 104.89 | +34.2% |
| 1999 | 96.03 | -8.4% |
| 2000 | 42.14 | -56.1% |
| 2001 | 84.82 | +101.3% |
| 2002 | 103.92 | +22.5% |
| 2003 | 59.48 | -42.8% |
| 2004 | 110.57 | +85.9% |
| 2005 | 117.24 | +6.0% |
| 2006 | 136.64 | +16.5% |
| 2007 | 138.64 | +1.5% |
| 2008 | 111.25 | -19.8% |
| 2009 | 106.75 | -4.0% |
| 2010 | 109.8 | +2.9% |
| 2011 | 103.16 | -6.0% |
| 2012 | 81.6 | -20.9% |
| 2013 | 93.64 | +14.8% |
| 2014 | 124.73 | +33.2% |
| 2015 | 68.37 | -45.2% |
| 2016 | 106.91 | +56.4% |
| 2017 | 120.07 | +12.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 67.88 | 41.52 | 104.89 | 8 |
| 2000s | 101.14 | 42.14 | 138.64 | 10 |
| 2010s | 101.03 | 68.37 | 124.73 | 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 sugar beet — gross per capita production index number in Croatia?
- Sugar beet — gross per capita production index number in Croatia was 120.07 in 2017, according to Food and Agriculture Organization of the United Nations.
- What is the highest sugar beet — gross per capita production index number recorded in Croatia?
- The highest recorded value was 138.64 in 2007.
- What is the lowest sugar beet — gross per capita production index number recorded in Croatia?
- The lowest recorded value was 41.52 in 1992.
- How does Croatia rank for sugar beet — gross per capita production index number?
- Croatia ranks 15th out of 50 countries with data for 2017.
- Is sugar beet — gross per capita production index number rising or falling in Croatia?
- Over the last ten years it is down 13.4%. The long-run trend across the full record is rising.
- Where does this Croatia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Sugar beet — 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.