Comoros vs Tanzania: Discrepancy in GDP, value added
Comoros
-1.32 billion constant LCU
in 2002
Tanzania
-0.001 constant LCU
in 2011
Comoros rank
29th
Tanzania rank
26th
Discrepancy in GDP, value added over time
- Comoros
- Tanzania
How they compare
Tanzania currently reports -0.001 constant LCU against -1.32 billion constant LCU in Comoros, a difference of 1.32 billion constant LCU.
The two have swapped places 2 times across 13 shared years of data; in 1990 it was Tanzania ahead.
Comoros ranks 29th and Tanzania ranks 26th of 41 countries.
Tanzania has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Comoros | Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | -894.96 million constant LCU | 0 constant LCU | 894.96 million constant LCU | Tanzania |
| 2000s | -1.51 billion constant LCU | 0 constant LCU | 1.51 billion constant LCU | Tanzania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher discrepancy in gdp, value added, Comoros or Tanzania?
- Tanzania, at -0.001 constant LCU against -1.32 billion constant LCU in Comoros as of 2011.
- What is the difference in discrepancy in gdp, value added between Comoros and Tanzania?
- 1.32 billion constant LCU, with Tanzania ahead.
- How many years of comparable data are there for Comoros and Tanzania?
- 13 years are reported by both, from 1990 to 2002.
- How do Comoros and Tanzania rank globally for discrepancy in gdp, value added?
- Comoros ranks 29th and Tanzania ranks 26th 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.