Eritrea vs Sri Lanka: Millet — Gross Production Value
Eritrea
798,970 1000 SLC
in 2024
Sri Lanka
1.00 million 1000 SLC
in 2024
Eritrea rank
25th
Sri Lanka rank
24th
Millet — Gross Production Value over time
- Eritrea
- Sri Lanka
How they compare
Sri Lanka currently reports 1.00 million 1000 SLC against 798,970 1000 SLC in Eritrea, a difference of 204,330 1000 SLC.
That makes Sri Lanka's figure about 1.3 times Eritrea's.
The two have swapped places 14 times across 32 shared years of data; in 1993 it was Sri Lanka ahead.
Eritrea ranks 25th and Sri Lanka ranks 24th of 61 countries.
Across the 4 decades both report, Eritrea averaged higher in 2 and Sri Lanka in 2.
Head to head by decade
| Decade | Eritrea | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 841,867 1000 SLC | 609,009 1000 SLC | 232,858 1000 SLC | Eritrea |
| 2000s | 762,524 1000 SLC | 632,749 1000 SLC | 129,775 1000 SLC | Eritrea |
| 2010s | 719,073 1000 SLC | 832,868 1000 SLC | 113,795 1000 SLC | Sri Lanka |
| 2020s | 798,970 1000 SLC | 1.02 million 1000 SLC | 226,005 1000 SLC | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher millet — gross production value, Eritrea or Sri Lanka?
- Sri Lanka, at 1.00 million 1000 SLC against 798,970 1000 SLC in Eritrea as of 2024.
- What is the difference in millet — gross production value between Eritrea and Sri Lanka?
- 204,330 1000 SLC, with Sri Lanka ahead.
- How many years of comparable data are there for Eritrea and Sri Lanka?
- 32 years are reported by both, from 1993 to 2024.
- How do Eritrea and Sri Lanka rank globally for millet — gross production value?
- Eritrea ranks 25th and Sri Lanka ranks 24th of 61 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Millet — Gross Production Value (constant 2014-2016 thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.