Chad vs Sudan: Discrepancy in GDP, value added
Chad
0.001 constant LCU
in 2004
Sudan
0 constant LCU
in 2011
Chad rank
17th
Sudan rank
18th
Discrepancy in GDP, value added over time
- Chad
- Sudan
How they compare
Chad currently reports 0.001 constant LCU against 0 constant LCU in Sudan, a difference of 0.001 constant LCU.
That makes Chad's figure about 272.0 times Sudan's.
The two have swapped places 3 times across 38 shared years of data; in 1967 it was Sudan ahead.
Chad ranks 17th and Sudan ranks 18th of 41 countries.
Sudan has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Chad | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 0 constant LCU | 0 constant LCU | 0 constant LCU | — |
| 1970s | 0 constant LCU | 0 constant LCU | 0 constant LCU | — |
| 1980s | 0 constant LCU | 0 constant LCU | 0 constant LCU | — |
| 1990s | -2.80 million constant LCU | 0 constant LCU | 2.80 million constant LCU | Sudan |
| 2000s | -1.83 billion constant LCU | 0 constant LCU | 1.83 billion constant LCU | Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in gdp, value added, Chad or Sudan?
- Chad, at 0.001 constant LCU against 0 constant LCU in Sudan as of 2004.
- What is the difference in discrepancy in gdp, value added between Chad and Sudan?
- 0.001 constant LCU, with Chad ahead.
- How many years of comparable data are there for Chad and Sudan?
- 38 years are reported by both, from 1967 to 2004.
- How do Chad and Sudan rank globally for discrepancy in gdp, value added?
- Chad ranks 17th and Sudan ranks 18th of 41 countries.
- Where does this data come from?
- World Bank national accounts data, and OECD National Accounts data files, published as Discrepancy in GDP, value added (constant LCU). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
This is the discrepancy included in the value added of services, etc. Covered here are any discrepancies noted by national compilers as well as discrepancies arising from linking new and old series in the World Bank data base. Data are in constant local currency.