Trading across borders: Time to import (days) (DB06-15 methodology) in Equatorial Guinea
Equatorial Guinea: Trading across borders: Time to import (days) (DB06-15 methodology) was 35.48 in 2014. ▼ Falling
Trading across borders: Time to import (days) (DB06-15 methodology) in Equatorial Guinea, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: time to import (days) (db06-15 methodology) in Equatorial Guinea stood at 35.48.
The figure is down 8.3% over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Equatorial Guinea peaked at 38.71 in 2005 and was at its lowest, 33.87, in 2008.
Equatorial Guinea ranks 165th of 184 countries on this measure, in the bottom quarter.
Trading across borders: Time to import (days) (DB06-15 methodology) in Equatorial Guinea, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 38.71 | — |
| 2006 | 38.71 | +0.0% |
| 2007 | 38.71 | +0.0% |
| 2008 | 33.87 | -12.5% |
| 2009 | 33.87 | +0.0% |
| 2010 | 35.48 | +4.8% |
| 2011 | 35.48 | +0.0% |
| 2012 | 35.48 | +0.0% |
| 2013 | 35.48 | +0.0% |
| 2014 | 35.48 | +0.0% |
Equatorial Guinea compared with similar countries
- Equatorial Guinea's 35.48 is below the median for upper middle income countries, which is 75.81, 47% of the median. (55 countries reporting)
- Equatorial Guinea's 35.48 is below the median for Sub-Saharan Africa, which is 56.45, 63% of the median. (46 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 36.77 | 33.87 | 38.71 | 5 |
| 2010s | 35.48 | 35.48 | 35.48 | 5 |
Countries ranked near Equatorial Guinea
More reference data data for Equatorial Guinea
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0083 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 1.17 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 1.11 (2050)
- Emission Totals - Direct emissions (N2O) - Agricultural Soils 0.0275 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0358 (2050)
- Emission Totals - Direct emissions (N2O) - Manure left on Pasture 0.0246 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 10.65 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure Management 2.11 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied 1.11 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 0.9434 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Equatorial Guinea?
- Trading across borders: time to import (days) (db06-15 methodology) in Equatorial Guinea was 35.48 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Equatorial Guinea?
- The highest recorded value was 38.71 in 2005.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Equatorial Guinea?
- The lowest recorded value was 33.87 in 2008.
- How does Equatorial Guinea rank for trading across borders: time to import (days) (db06-15 methodology)?
- Equatorial Guinea ranks 165th out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Equatorial Guinea?
- Over the last ten years it is down 8.3%. The long-run trend across the full record is falling.
- Where does this Equatorial Guinea data come from?
- The figures come from the World Bank, published as part of Trading across borders: Time to import (days) (DB06-15 methodology) - Score. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 10 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The score for the time to import benchmarks economies with respect to the regulatory best practice on the indicator. The score ranges from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance, and is computed based on the methodology in the DB06-15 studies.