Millet — Gross Production Index Number in Slovenia

Slovenia: Millet — Gross Production Index Number was 62.06 in 2017. ◆ Volatile

Latest (2017)
62.06
Change on year
down 30.8%
World rank
65th
of 78 countries
All-time high
154.3
in 1994
All-time low
25.46
in 2001
Years of data
26
1992–2017

Millet — Gross Production Index Number in Slovenia, 1992–2017

501001501992200420171992: 29.21993: 27.81994: 154.31995: 85.21996: 61.71997: 43.31998: 50.41999: 49.92000: 45.22001: 25.52002: 85.82003: 98.82004: 97.82005: 151.42006: 48.12007: 91.62008: 53.12009: 26.82010: 50.92011: 48.12012: 402013: 31.92014: 69.52015: 140.82016: 89.72017: 62.1

Source: Food and Agriculture Organization of the United Nations.

Analysis

The most recent figure for millet — gross production index number in Slovenia is 62.06, measured in 2017.

Compared with earlier readings it is down 30.8% on the previous year and down 32.2% over ten years.

Over the whole period, millet — gross production index number in Slovenia peaked at 154.3 in 1994 and was at its lowest, 25.46, in 2001.

Slovenia ranks 65th of 78 countries on this measure, in the bottom quarter.

The series is highly variable year to year, so single readings are best treated with caution.

Millet — Gross Production Index Number in Slovenia, year by year

Annual values for Millet — Gross Production Index Number (2014-2016 = 100) in Slovenia, 1992 to 2017.
Year Value Change
1992 29.17
1993 27.82 -4.6%
1994 154.3 +454.6%
1995 85.16 -44.8%
1996 61.72 -27.5%
1997 43.34 -29.8%
1998 50.42 +16.3%
1999 49.92 -1.0%
2000 45.19 -9.5%
2001 25.46 -43.7%
2002 85.83 +237.1%
2003 98.82 +15.1%
2004 97.81 -1.0%
2005 151.43 +54.8%
2006 48.06 -68.3%
2007 91.57 +90.5%
2008 53.12 -42.0%
2009 26.81 -49.5%
2010 50.93 +90.0%
2011 48.06 -5.6%
2012 39.97 -16.8%
2013 31.87 -20.3%
2014 69.48 +118.0%
2015 140.81 +102.7%
2016 89.71 -36.3%
2017 62.06 -30.8%

Averages by decade

DecadeAverage LowestHighest Years
1990s 62.73 27.82 154.3 8
2000s 72.41 25.46 151.43 10
2010s 66.61 31.87 140.81 8

Countries ranked near Slovenia

  1. 62 Republic of Korea 66.39 compare
  2. 63 Croatia 65.27 compare
  3. 64 Hungary 62.98 compare
  4. 66 Russian Federation 57.55 compare
  5. 67 Angola 55.16 compare
  6. 68 Uganda 54.02 compare

See the full ranking of 116 places →

More agriculture & rural data for Slovenia

All data for Slovenia →

Frequently asked questions

What is millet — gross production index number in Slovenia?
Millet — gross production index number in Slovenia was 62.06 in 2017, according to Food and Agriculture Organization of the United Nations.
What is the highest millet — gross production index number recorded in Slovenia?
The highest recorded value was 154.3 in 1994.
What is the lowest millet — gross production index number recorded in Slovenia?
The lowest recorded value was 25.46 in 2001.
How does Slovenia rank for millet — gross production index number?
Slovenia ranks 65th out of 78 countries with data for 2017.
Is millet — gross production index number rising or falling in Slovenia?
Over the last ten years it is down 32.2%. The long-run trend across the full record is volatile.
Where does this Slovenia data come from?
The figures come from Food and Agriculture Organization of the United Nations, published as part of Millet — Gross Production Index Number (2014-2016 = 100). Statizoid updates them automatically from the source API.

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Millet — Gross Production Index Number in Slovenia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 30 August 2026, from https://agriculture.statizoid.com/stat/millet-gross-production-index-number-2014-2016-100/slovenia/

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About this data

Indicator
Millet — Gross Production Index Number (2014-2016 = 100)
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
116 places, 6,262 data points, 1961–2024
Last refreshed

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.