Trading across borders: Cost to import (US$ per container)(DB06-15) in Equatorial Guinea
Equatorial Guinea: Trading across borders: Cost to import (US$ per container)(DB06-15) was 78.13 in 2014. ▲ Rising
Trading across borders: Cost to import (US$ per container)(DB06-15) in Equatorial Guinea, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: cost to import (us$ per container)(db06-15) in Equatorial Guinea stood at 78.13.
Compared with earlier readings it is down 1.4% on the previous year and up 129.0% over ten years.
Over the whole period, trading across borders: cost to import (us$ per container)(db06-15) in Equatorial Guinea peaked at 79.24 in 2013 and was at its lowest, 34.11, in 2005.
That places Equatorial Guinea 116th out of 184 countries with data for 2014, putting it in the middle of the range.
Trading across borders: Cost to import (US$ per container)(DB06-15) in Equatorial Guinea, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 34.11 | — |
| 2006 | 55.77 | +63.5% |
| 2007 | 62.16 | +11.5% |
| 2008 | 62.91 | +1.2% |
| 2009 | 71.87 | +14.2% |
| 2010 | 56.85 | -20.9% |
| 2011 | 68.69 | +20.8% |
| 2012 | 76.52 | +11.4% |
| 2013 | 79.24 | +3.6% |
| 2014 | 78.13 | -1.4% |
Equatorial Guinea compared with similar countries
- Equatorial Guinea's 78.13 is below the median for upper middle income countries, which is 79.55, 98% of the median. (55 countries reporting)
- Equatorial Guinea's 78.13 is above the median for Sub-Saharan Africa, which is 70.57, 1.1× the median. (46 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 57.36 | 34.11 | 71.87 | 5 |
| 2010s | 71.88 | 56.85 | 79.24 | 5 |
Countries ranked near Equatorial Guinea
More reference data data for Equatorial Guinea
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0013 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.007 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0083 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0083 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0042 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0044 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0316 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0402 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0358 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied 1.11 (2050)
Frequently asked questions
- What is trading across borders: cost to import (us$ per container)(db06-15) in Equatorial Guinea?
- Trading across borders: cost to import (us$ per container)(db06-15) in Equatorial Guinea was 78.13 in 2014, according to the World Bank.
- What is the highest trading across borders: cost to import (us$ per container)(db06-15) recorded in Equatorial Guinea?
- The highest recorded value was 79.24 in 2013.
- What is the lowest trading across borders: cost to import (us$ per container)(db06-15) recorded in Equatorial Guinea?
- The lowest recorded value was 34.11 in 2005.
- How does Equatorial Guinea rank for trading across borders: cost to import (us$ per container)(db06-15)?
- Equatorial Guinea ranks 116th out of 184 countries with data for 2014.
- Is trading across borders: cost to import (us$ per container)(db06-15) rising or falling in Equatorial Guinea?
- Over the last ten years it is up 129.0%. The long-run trend across the full record is rising.
- Where does this Equatorial Guinea data come from?
- The figures come from the World Bank, published as part of Trading across borders: Cost to import (US$ per container)(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 cost 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.