Guatemala vs South Sudan: Fibre Crops, Fibre Equivalent — Area harvested
Fibre Crops, Fibre Equivalent — Area harvested over time
- Guatemala
- South Sudan
How they compare
South Sudan currently reports 1,596 ha against 1,579 ha in Guatemala, a difference of 17 ha.
The two have swapped places 1 time across 13 shared years of data; in 2012 it was Guatemala ahead.
Guatemala ranks 122nd and South Sudan ranks 120th of 174 countries.
Guatemala has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Guatemala | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 1,599 ha | 1,388 ha | 211.88 ha | Guatemala |
| 2020s | 1,581 ha | 1,578 ha | 3.6 ha | Guatemala |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher fibre crops, fibre equivalent — area harvested, Guatemala or South Sudan?
- South Sudan, at 1,596 ha against 1,579 ha in Guatemala as of 2024.
- What is the difference in fibre crops, fibre equivalent — area harvested between Guatemala and South Sudan?
- 17 ha, with South Sudan ahead.
- How many years of comparable data are there for Guatemala and South Sudan?
- 13 years are reported by both, from 2012 to 2024.
- How do Guatemala and South Sudan rank globally for fibre crops, fibre equivalent — area harvested?
- Guatemala ranks 122nd and South Sudan ranks 120th of 174 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Fibre Crops, Fibre Equivalent — Area harvested. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This dataset provides annual statistics on crop and livestock production across countries and territories. For crops, data are provided on area harvested, production quantities and yields. For livestock, data are provided on animal stocks, numbers of producing and slaughtered animals, and the production of meat, milk, eggs and other livestock products. The dataset also includes information on production quantities for selected processed products, such as vegetable oils, sugar, fibres, beer, wine and major dairy products.