Cereals n.e.c. — Gross Production Value (constant 2014-2016 thousand SLC) 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.
What the numbers show
Cereals n.e.c. — Gross Production Value (constant 2014-2016 thousand SLC) is currently reported for 43 countries. The highest value is 102.63 million 1000 SLC in Chad; the lowest is 1 1000 SLC in Qatar.
The median across all reporting countries is 26,881 1000 SLC, and the mean is 4.29 million 1000 SLC.
Over the past decade 24 countries rose and 19 fell. The largest increase was in Hungary (up 1,098.8%), and the largest decrease in Qatar (down 99.0%).
Cereals n.e.c. — Gross Production Value: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Chad | 102.63 million 1000 SLC | 2024 | up 26.9% | volatile |
| 2 | Ethiopia | 35.78 million 1000 SLC | 2024 | up 22.1% | rising |
| 3 | Republic of Korea | 20.42 million 1000 SLC | 2024 | up 43.9% | volatile |
| 4 | Burundi | 11.24 million 1000 SLC | 2024 | up 359.7% | rising |
| 5 | Kazakhstan | 3.51 million 1000 SLC | 2024 | down 71.0% | volatile |
| 6 | Myanmar | 3.20 million 1000 SLC | 2024 | down 5.5% | flat |
| 7 | Congo | 1.39 million 1000 SLC | 2024 | up 1.1% | rising |
| 8 | Armenia | 1.15 million 1000 SLC | 2024 | down 63.3% | rising |
| 9 | Togo | 1.13 million 1000 SLC | 2016 | up 218.1% | volatile |
| 10 | Hungary | 1.01 million 1000 SLC | 2017 | up 1,098.8% | volatile |
| 11 | Eritrea | 829,608 1000 SLC | 2024 | up 3.8% | volatile |
| 12 | Thailand | 762,995 1000 SLC | 2024 | up 9.6% | volatile |
| 13 | Mongolia | 578,671 1000 SLC | 2024 | down 64.7% | volatile |
| 14 | Niger | 233,587 1000 SLC | 2024 | down 10.7% | falling |
| 15 | Russian Federation | 175,708 1000 SLC | 2024 | up 57.9% | falling |
| 16 | China, mainland | 115,095 1000 SLC | 2024 | down 0.4% | rising |
| 17 | Senegal | 87,965 1000 SLC | 1990 | down 54.0% | falling |
| 18 | Bhutan | 76,297 1000 SLC | 2024 | down 4.5% | rising |
| 19 | Peru | 68,503 1000 SLC | 2024 | up 4.1% | rising |
| 20 | Czechia | 44,031 1000 SLC | 2017 | down 39.7% | falling |
| 21 | South Africa | 36,246 1000 SLC | 2024 | down 28.4% | volatile |
| 22 | Mali | 26,881 1000 SLC | 2024 | up 7.6% | volatile |
| 23 | France | 25,377 1000 SLC | 2017 | up 93.1% | volatile |
| 24 | Argentina | 22,072 1000 SLC | 2024 | up 6.0% | falling |
| 25 | Italy | 19,259 1000 SLC | 2017 | up 126.0% | volatile |
| 26 | Ukraine | 16,614 1000 SLC | 2024 | down 41.2% | volatile |
| 27 | Morocco | 9,687 1000 SLC | 2024 | up 58.8% | volatile |
| 28 | Romania | 7,945 1000 SLC | 2017 | up 158.5% | volatile |
| 29 | New Zealand | 5,698 1000 SLC | 2024 | up 120.6% | volatile |
| 30 | Austria | 5,405 1000 SLC | 2017 | up 19.1% | volatile |
| 31 | Belarus | 4,165 1000 SLC | 2024 | down 18.3% | volatile |
| 32 | Tunisia | 3,883 1000 SLC | 2024 | down 3.3% | rising |
| 33 | Poland | 2,089 1000 SLC | 2017 | down 55.1% | volatile |
| 34 | Zimbabwe | 808 1000 SLC | 2024 | up 3.2% | flat |
| 35 | Bulgaria | 659 1000 SLC | 2017 | up 69.0% | volatile |
| 36 | Croatia | 498 1000 SLC | 2017 | up 6.2% | rising |
| 37 | Finland | 436 1000 SLC | 2017 | down 7.4% | volatile |
| 38 | Switzerland | 295 1000 SLC | 2024 | up 126.9% | volatile |
| 39 | Ireland | 274 1000 SLC | 2017 | down 83.4% | volatile |
| 40 | Slovak Republic | 99 1000 SLC | 2017 | down 38.5% | volatile |
| 41 | Luxembourg | 68 1000 SLC | 2017 | up 655.6% | volatile |
| 42 | Lithuania | 12 1000 SLC | 2017 | down 91.0% | volatile |
| 43 | Qatar | 1 1000 SLC | 2022 | down 99.0% | volatile |
About this data
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.