Hungary vs Madagascar: Silk-worm cocoons suitable for reeling — Gross Production Value
Hungary
215 1000 Int$
in 1972
Madagascar
245 1000 Int$
in 2024
Hungary rank
18th
Madagascar rank
17th
Silk-worm cocoons suitable for reeling — Gross Production Value over time
- Hungary
- Madagascar
How they compare
Madagascar currently reports 245 1000 Int$ against 215 1000 Int$ in Hungary, a difference of 30 1000 Int$.
That makes Madagascar's figure about 1.1 times Hungary's.
The two have swapped places 1 time across 12 shared years of data; in 1961 it was Hungary ahead.
Hungary ranks 18th and Madagascar ranks 17th of 31 countries.
Across the 2 decades both report, Hungary averaged higher in 1 and Madagascar in 1.
Head to head by decade
| Decade | Hungary | Madagascar | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 854.67 1000 Int$ | 539.67 1000 Int$ | 315 1000 Int$ | Hungary |
| 1970s | 372.67 1000 Int$ | 859 1000 Int$ | 486.33 1000 Int$ | Madagascar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher silk-worm cocoons suitable for reeling — gross production value, Hungary or Madagascar?
- Madagascar, at 245 1000 Int$ against 215 1000 Int$ in Hungary as of 2024.
- What is the difference in silk-worm cocoons suitable for reeling — gross production value between Hungary and Madagascar?
- 30 1000 Int$, with Madagascar ahead.
- How many years of comparable data are there for Hungary and Madagascar?
- 12 years are reported by both, from 1961 to 1972.
- How do Hungary and Madagascar rank globally for silk-worm cocoons suitable for reeling — gross production value?
- Hungary ranks 18th and Madagascar ranks 17th of 31 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Silk-worm cocoons suitable for reeling — Gross Production Value (constant 2014-2016 thousand I$). 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.