Trading across borders: Time to import (days) (DB06-15 methodology) in Kiribati
Kiribati: Trading across borders: Time to import (days) (DB06-15 methodology) was 72.58 in 2014. ▬ Flat
Trading across borders: Time to import (days) (DB06-15 methodology) in Kiribati, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: time to import (days) (db06-15 methodology) in Kiribati stood at 72.58. That is the highest value across all 10 years on record.
Compared with earlier readings it is unchanged over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Kiribati peaked at 72.58 in 2005 and was at its lowest, 72.58, in 2005.
Kiribati ranks 100th of 184 countries on this measure, in the middle of the range.
Trading across borders: Time to import (days) (DB06-15 methodology) in Kiribati, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 72.58 | — |
| 2006 | 72.58 | +0.0% |
| 2007 | 72.58 | +0.0% |
| 2008 | 72.58 | +0.0% |
| 2009 | 72.58 | +0.0% |
| 2010 | 72.58 | +0.0% |
| 2011 | 72.58 | +0.0% |
| 2012 | 72.58 | +0.0% |
| 2013 | 72.58 | +0.0% |
| 2014 | 72.58 | +0.0% |
Kiribati compared with similar countries
- Kiribati's 72.58 is above the median for lower middle income countries, which is 62.9, 1.2× the median. (46 countries reporting)
- Kiribati's 72.58 is above the median for East Asia & Pacific, which is 70.97, 1.0× the median. (27 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 72.58 | 72.58 | 72.58 | 5 |
| 2010s | 72.58 | 72.58 | 72.58 | 5 |
Countries ranked near Kiribati
- 100 Madagascar 72.58 compare
- 100 South Africa 72.58 compare
- 100 Vietnam 72.58 compare
More reference data data for Kiribati
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0001 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0059 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 0.0269 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 0.2183 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric 0.7542 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 12.42 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 11.66 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 0.4165 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on 0.2183 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural 5.35 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Kiribati?
- Trading across borders: time to import (days) (db06-15 methodology) in Kiribati was 72.58 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Kiribati?
- The highest recorded value was 72.58 in 2005.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Kiribati?
- The lowest recorded value was 72.58 in 2005.
- How does Kiribati rank for trading across borders: time to import (days) (db06-15 methodology)?
- Kiribati ranks 100th out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Kiribati?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Kiribati 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.