Trading across borders: Time to export (days) … days DB06-15 export in Liberia
Liberia: Trading across borders: Time to export (days) … days DB06-15 export was 81.25 in 2014. ▲ Rising
Trading across borders: Time to export (days) (DB06-15 methodology) in Liberia, 2006–2014
Source: World Bank.
Analysis
The most recent figure for trading across borders: time to export (days) (db06-15 methodology) in Liberia is 81.25, measured in 2014. That is the highest value across all 9 years on record.
The figure is up 14.7% over ten years.
Over the whole period, trading across borders: time to export (days) (db06-15 methodology) in Liberia peaked at 81.25 in 2011 and was at its lowest, 70.83, in 2006.
Liberia ranks 63rd of 184 countries on this measure, in the middle of the range.
Trading across borders: Time to export (days) … days DB06-15 export in Liberia, year by year
| Year | Value | Change |
|---|---|---|
| 2006 | 70.83 | — |
| 2007 | 70.83 | +0.0% |
| 2008 | 70.83 | +0.0% |
| 2009 | 77.08 | +8.8% |
| 2010 | 77.08 | +0.0% |
| 2011 | 81.25 | +5.4% |
| 2012 | 81.25 | +0.0% |
| 2013 | 81.25 | +0.0% |
| 2014 | 81.25 | +0.0% |
Liberia compared with similar countries
- Liberia's 81.25 is above the median for low income countries, which is 48.96, 1.7× the median. (22 countries reporting)
- Liberia's 81.25 is above the median for Sub-Saharan Africa, which is 58.33, 1.4× the median. (46 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 72.4 | 70.83 | 77.08 | 4 |
| 2010s | 80.42 | 77.08 | 81.25 | 5 |
Countries ranked near Liberia
- 63 Belarus 81.25 compare
- 63 Chile 81.25 compare
- 63 Greece 81.25 compare
- 63 Kosovo 81.25 compare
- 63 Kuwait 81.25 compare
- 63 Philippines 81.25 compare
- 63 Poland 81.25 compare
- 63 Portugal 81.25 compare
- 63 Puerto Rico 81.25 compare
- 63 Qatar 81.25 compare
- 63 Uruguay 81.25 compare
- 63 Kosovo (UNSCR 1244) 81.25 compare
More reference data data for Liberia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0476 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1282 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.229 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0532 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.229 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1597 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.183 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.5564 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.2 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.2896 (2050)
Frequently asked questions
- What is trading across borders: time to export (days) (db06-15 methodology) in Liberia?
- Trading across borders: time to export (days) (db06-15 methodology) in Liberia was 81.25 in 2014, according to the World Bank.
- What is the highest trading across borders: time to export (days) (db06-15 methodology) recorded in Liberia?
- The highest recorded value was 81.25 in 2011.
- What is the lowest trading across borders: time to export (days) (db06-15 methodology) recorded in Liberia?
- The lowest recorded value was 70.83 in 2006.
- How does Liberia rank for trading across borders: time to export (days) (db06-15 methodology)?
- Liberia ranks 63rd out of 184 countries with data for 2014.
- Is trading across borders: time to export (days) (db06-15 methodology) rising or falling in Liberia?
- Over the last ten years it is up 14.7%. The long-run trend across the full record is rising.
- Where does this Liberia data come from?
- The figures come from the World Bank, published as part of Trading across borders: Time to export (days) (DB06-15 methodology) - Score. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
The score for the time to export 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.