Myanmar vs United Republic of Tanzania: Beans, dry — Gross Production Value
Beans, dry — Gross Production Value over time
- Myanmar
- United Republic of Tanzania
How they compare
Myanmar currently reports 2.94 billion 1000 SLC against 2.54 billion 1000 SLC in United Republic of Tanzania, a difference of 395.09 million 1000 SLC.
That makes Myanmar's figure about 1.2 times United Republic of Tanzania's.
The two have swapped places 2 times across 13 shared years of data; in 2012 it was Myanmar ahead.
Myanmar ranks 1st and United Republic of Tanzania ranks 3rd of 98 countries.
Myanmar has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Myanmar | United Republic of Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 1.91 billion 1000 SLC | 1.54 billion 1000 SLC | 369.76 million 1000 SLC | Myanmar |
| 2020s | 2.67 billion 1000 SLC | 2.16 billion 1000 SLC | 514.52 million 1000 SLC | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Myanmar or United Republic of Tanzania?
- Myanmar, at 2.94 billion 1000 SLC against 2.54 billion 1000 SLC in United Republic of Tanzania as of 2024.
- What is the difference in beans, dry — gross production value between Myanmar and United Republic of Tanzania?
- 395.09 million 1000 SLC, with Myanmar ahead.
- How many years of comparable data are there for Myanmar and United Republic of Tanzania?
- 13 years are reported by both, from 2012 to 2024.
- How do Myanmar and United Republic of Tanzania rank globally for beans, dry — gross production value?
- Myanmar ranks 1st and United Republic of Tanzania ranks 3rd of 98 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Beans, dry — Gross Production Value (current 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.