Suriname vs Togo: Credit to Agriculture and Forestry — Value Standard Local Currency
Credit to Agriculture and Forestry — Value Standard Local Currency over time
- Suriname
- Togo
How they compare
Togo currently reports 548 million SLC against 147 million SLC in Suriname, a difference of 401 million SLC.
That makes Togo's figure about 3.7 times Suriname's.
Across all 13 years both countries report, Togo has been ahead every year.
Suriname ranks 24th and Togo ranks 23rd of 25 countries.
Togo has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Suriname | Togo | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 53.98 million SLC | 332.5 million SLC | 278.52 million SLC | Togo |
| 2010s | 108.87 million SLC | 1,721 million SLC | 1,612 million SLC | Togo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture and forestry — value standard local currency, Suriname or Togo?
- Togo, at 548 million SLC against 147 million SLC in Suriname as of 2021.
- What is the difference in credit to agriculture and forestry — value standard local currency between Suriname and Togo?
- 401 million SLC, with Togo ahead.
- How many years of comparable data are there for Suriname and Togo?
- 13 years are reported by both, from 2006 to 2019.
- How do Suriname and Togo rank globally for credit to agriculture and forestry — value standard local currency?
- Suriname ranks 24th and Togo ranks 23rd of 25 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture and Forestry — Value Standard Local Currency. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Credit to agriculture measures the amount of loans and advances given by the banking sector to farmers, rural households, agricultural cooperatives, or any other agri-related businesses. Each country’s central bank compiles its credit stocks by economic activities as part of its monetary and financial statistics publications via annual or quarterly reports online. Data collection has been carried out mostly through reports found on the central bank websites. Data are collected and compiled according to the International Standard Industrial Classification of All Economic Activities (ISIC Rev. 4: https://unstats.un.org/unsd/classifications/Econ/isic) with a special concentration on the credit to agriculture, forestry and fishing sector separately from the ones to manufacturing and services.