Cereals n.e.c. — Gross Production Value (constant 2014-2016 thousand US$) by country

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.

Countries reporting
45
Highest
1.74 million 1000 USD
Ethiopia
Lowest
0 1000 USD
Qatar
Median
2,105 1000 USD
Years covered
64
1961–2024
Data points
3,184

What the numbers show

Cereals n.e.c. — Gross Production Value (constant 2014-2016 thousand US$) is currently reported for 45 countries. The highest value is 1.74 million 1000 USD in Ethiopia; the lowest is 0 1000 USD in Qatar.

The median across all reporting countries is 2,105 1000 USD, and the mean is 49,019 1000 USD.

Over the past decade 26 countries rose and 19 fell. The largest increase was in Hungary (up 1,097.8%), and the largest decrease in Qatar (down 100.0%).

Cereals n.e.c. — Gross Production Value: full country ranking

#Country LatestYear 10-year changeTrend
1 Ethiopia 1.74 million 1000 USD 2024 up 22.1% rising
2 Chad 186,565 1000 USD 2024 up 26.9% volatile
3 Eritrea 53,990 1000 USD 2024 up 3.8% volatile
4 France 30,100 1000 USD 2017 up 93.1% volatile
4 Bolivia (Plurinational State of) 148 1000 USD 2024 up 25.4% rising
5 Italy 22,811 1000 USD 2017 up 126.0% volatile
6 Thailand 22,454 1000 USD 2024 up 9.6% volatile
7 Peru 21,884 1000 USD 2024 up 4.1% rising
8 Republic of Korea 18,326 1000 USD 2024 up 43.9% volatile
9 China 18,187 1000 USD 2024 down 0.4% rising
9 China, mainland 18,187 1000 USD 2024 down 0.4% rising
11 Kazakhstan 15,071 1000 USD 2024 down 71.0% volatile
12 Burundi 7,071 1000 USD 2024 up 359.8% rising
13 Austria 6,410 1000 USD 2017 up 19.1% volatile
14 New Zealand 4,258 1000 USD 2024 up 120.6% volatile
14 Australia and New Zealand 4,258 1000 USD 2024 up 120.6% volatile
16 Hungary 3,833 1000 USD 2017 up 1,097.8% volatile
17 Russian Federation 3,236 1000 USD 2024 up 57.9% falling
18 Belarus 2,875 1000 USD 2024 down 18.3% volatile
19 South Africa 2,841 1000 USD 2024 down 28.4% volatile
20 Armenia 2,535 1000 USD 2024 down 63.3% rising
21 Congo 2,507 1000 USD 2024 up 1.0% rising
22 Argentina 2,219 1000 USD 2024 up 6.0% falling
23 Romania 2,105 1000 USD 2017 up 158.6% volatile
24 Tunisia 2,032 1000 USD 2024 down 3.3% rising
25 Togo 2,025 1000 USD 2016 up 218.4% volatile
26 Czechia 1,923 1000 USD 2017 down 39.7% falling
27 Bhutan 1,185 1000 USD 2024 down 4.5% rising
28 Morocco 1,048 1000 USD 2024 up 58.8% volatile
29 Ukraine 825 1000 USD 2024 down 41.2% volatile
30 Zimbabwe 808 1000 USD 2024 up 3.2% falling
31 Croatia 586 1000 USD 2017 up 6.2% rising
32 Poland 583 1000 USD 2017 down 55.1% volatile
33 Finland 516 1000 USD 2017 down 7.2% volatile
34 Niger 421 1000 USD 2024 down 10.6% falling
35 Bulgaria 398 1000 USD 2017 up 69.4% volatile
36 Ireland 324 1000 USD 2017 down 83.4% volatile
37 Switzerland 309 1000 USD 2024 up 127.2% volatile
38 Mongolia 295 1000 USD 2024 down 64.7% volatile
39 Senegal 159 1000 USD 1990 down 54.0% falling
40 Slovakia 117 1000 USD 2017 down 38.7% volatile
41 Luxembourg 80 1000 USD 2017 up 627.3% volatile
42 Mali 49 1000 USD 2024 up 8.9% volatile
43 Lithuania 14 1000 USD 2017 down 91.1% volatile
44 Qatar 0 1000 USD 2022 down 100.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Cereals n.e.c. — Gross Production Value by country. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 05 October 2026, from https://agriculture.statizoid.com/stat/cereals-n-e-c-gross-production-value-constant-2014-2016-thousand-us/

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About this data

Indicator
Cereals n.e.c. — Gross Production Value (constant 2014-2016 thousand US$)
Unit
1000 USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
71 places, 3,184 data points, 1961–2024
Last refreshed

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.