Trading across borders: Time to import (days) (DB06-15 methodology) in Mozambique
Mozambique: Trading across borders: Time to import (days) (DB06-15 methodology) was 66.13 in 2014. ▲ Rising
Trading across borders: Time to import (days) (DB06-15 methodology) in Mozambique, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: time to import (days) (db06-15 methodology) in Mozambique stood at 66.13. That is the highest value across all 10 years on record.
That represents a change of up 36.7% over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Mozambique peaked at 66.13 in 2013 and was at its lowest, 48.39, in 2005.
Mozambique ranks 118th of 184 countries on this measure, in the middle of the range.
Trading across borders: Time to import (days) (DB06-15 methodology) in Mozambique, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 48.39 | — |
| 2006 | 48.39 | +0.0% |
| 2007 | 48.39 | +0.0% |
| 2008 | 58.06 | +20.0% |
| 2009 | 61.29 | +5.6% |
| 2010 | 61.29 | +0.0% |
| 2011 | 61.29 | +0.0% |
| 2012 | 61.29 | +0.0% |
| 2013 | 66.13 | +7.9% |
| 2014 | 66.13 | +0.0% |
Mozambique compared with similar countries
- Mozambique's 66.13 is above the median for low income countries, which is 47.58, 1.4× the median. (22 countries reporting)
- Mozambique's 66.13 is above the median for Sub-Saharan Africa, which is 56.45, 1.2× the median. (46 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 52.9 | 48.39 | 61.29 | 5 |
| 2010s | 63.23 | 61.29 | 66.13 | 5 |
Countries ranked near Mozambique
- 118 Azerbaijan 66.13 compare
- 118 Benin 66.13 compare
- 118 Cameroon 66.13 compare
- 118 Marshall Islands 66.13 compare
- 118 Tonga 66.13 compare
More reference data data for Mozambique
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 2.06 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.78 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.53 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.2808 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.53 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 6.9 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 9.3 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 8.28 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 27.89 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.53 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Mozambique?
- Trading across borders: time to import (days) (db06-15 methodology) in Mozambique was 66.13 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Mozambique?
- The highest recorded value was 66.13 in 2013.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Mozambique?
- The lowest recorded value was 48.39 in 2005.
- How does Mozambique rank for trading across borders: time to import (days) (db06-15 methodology)?
- Mozambique ranks 118th out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Mozambique?
- Over the last ten years it is up 36.7%. The long-run trend across the full record is rising.
- Where does this Mozambique 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.