Trading across borders: Time to import (days) (DB06-15 methodology) in Micronesia (country)
Micronesia (country): Trading across borders: Time to import (days) (DB06-15 methodology) was 56.45 in 2014. ▬ Flat
Trading across borders: Time to import (days) (DB06-15 methodology) in Micronesia (country), 2005–2014
Source: World Bank.
Analysis
Micronesia (country) recorded 56.45 for trading across borders: time to import (days) (db06-15 methodology) in 2014. That is the lowest value across all 10 years on record.
That represents a change of down 2.8% over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Micronesia (country) peaked at 58.06 in 2005 and was at its lowest, 56.45, in 2007.
Micronesia (country) ranks 147th of 184 countries on this measure, in the bottom quarter.
Trading across borders: Time to import (days) (DB06-15 methodology) in Micronesia (country), year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 58.06 | — |
| 2006 | 58.06 | +0.0% |
| 2007 | 56.45 | -2.8% |
| 2008 | 56.45 | +0.0% |
| 2009 | 56.45 | +0.0% |
| 2010 | 56.45 | +0.0% |
| 2011 | 56.45 | +0.0% |
| 2012 | 56.45 | +0.0% |
| 2013 | 56.45 | +0.0% |
| 2014 | 56.45 | +0.0% |
Micronesia (country) compared with similar countries
- Micronesia (country)'s 56.45 is below the median for upper middle income countries, which is 75.81, 74% of the median. (55 countries reporting)
- Micronesia (country)'s 56.45 is below the median for East Asia & Pacific, which is 70.97, 80% of the median. (27 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 57.1 | 56.45 | 58.06 | 5 |
| 2010s | 56.45 | 56.45 | 56.45 | 5 |
Countries ranked near Micronesia (country)
More reference data data for Micronesia (country)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0157 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop 0.0074 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 16.58 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0159 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure applied to Soils 4.15 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 3.01 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 1.05 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 1.94 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Micronesia (country)?
- Trading across borders: time to import (days) (db06-15 methodology) in Micronesia (country) was 56.45 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Micronesia (country)?
- The highest recorded value was 58.06 in 2005.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Micronesia (country)?
- The lowest recorded value was 56.45 in 2007.
- How does Micronesia (country) rank for trading across borders: time to import (days) (db06-15 methodology)?
- Micronesia (country) ranks 147th out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Micronesia (country)?
- Over the last ten years it is down 2.8%. The long-run trend across the full record is flat.
- Where does this Micronesia (country) 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.