Trading across borders: Time to import (days) (DB06-15 methodology) in Eritrea
Eritrea: Trading across borders: Time to import (days) (DB06-15 methodology) was 11.29 in 2014. ◆ Volatile
Trading across borders: Time to import (days) (DB06-15 methodology) in Eritrea, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: time to import (days) (db06-15 methodology) in Eritrea stood at 11.29. That is the highest value across all 10 years on record.
The figure is up 16.7% over five years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Eritrea peaked at 11.29 in 2010 and was at its lowest, 0, in 2005.
Eritrea ranks 172nd of 184 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Trading across borders: Time to import (days) (DB06-15 methodology) in Eritrea, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 0 | — |
| 2006 | 0 | — |
| 2007 | 0 | — |
| 2008 | 9.68 | — |
| 2009 | 9.68 | +0.0% |
| 2010 | 11.29 | +16.7% |
| 2011 | 11.29 | +0.0% |
| 2012 | 11.29 | +0.0% |
| 2013 | 11.29 | +0.0% |
| 2014 | 11.29 | +0.0% |
Eritrea compared with similar countries
- Eritrea's 11.29 is below the median for low income countries, which is 47.58, 24% of the median. (22 countries reporting)
- Eritrea's 11.29 is below the median for Sub-Saharan Africa, which is 56.45, 20% of the median. (46 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 3.87 | 0 | 9.68 | 5 |
| 2010s | 11.29 | 11.29 | 11.29 | 5 |
Countries ranked near Eritrea
- 169 Burkina Faso 27.42 compare
- 170 Zambia 20.97 compare
- 171 Congo 19.35 compare
- 173 Niger 8.06 compare
- 174 Democratic Republic of Congo 4.84 compare
- 175 Afghanistan 0
- 175 Central African Republic 0 compare
- 175 Chad 0
- 175 Iraq 0
- 175 Kazakhstan 0 compare
- 175 Kyrgyzstan 0
- 175 Tajikistan 0 compare
- 175 Uzbekistan 0
- 175 Venezuela 0 compare
- 175 Zimbabwe 0
More reference data data for Eritrea
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.57 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.46 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0531 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0485 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.57 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 7.36 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.004 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - IPCC Agriculture 6,237 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.2642 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.073 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Eritrea?
- Trading across borders: time to import (days) (db06-15 methodology) in Eritrea was 11.29 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Eritrea?
- The highest recorded value was 11.29 in 2010.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Eritrea?
- The lowest recorded value was 0 in 2005.
- How does Eritrea rank for trading across borders: time to import (days) (db06-15 methodology)?
- Eritrea ranks 172nd out of 184 countries with data for 2014.
- Where does this Eritrea 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.