Trading across borders: Time to import (days) (DB06-15 methodology) in Hong Kong Special Administrative Region, People's Republic of China
Hong Kong Special Administrative Region, People's Republic of China: Trading across borders: Time to import (days) (DB06-15 methodology) was 98.39 in 2014. β² Rising
Trading across borders: Time to import (days) (DB06-15 methodology) in Hong Kong Special Administrative Region, People's Republic of China, 2005β2014
Source: World Bank.
Analysis
Hong Kong Special Administrative Region, People's Republic of China recorded 98.39 for trading across borders: time to import (days) (db06-15 methodology) in 2014. That is the highest value across all 10 years on record.
Compared with earlier readings it is up 24.5% over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Hong Kong Special Administrative Region, People's Republic of China peaked at 98.39 in 2006 and was at its lowest, 79.03, in 2005.
Hong Kong Special Administrative Region, People's Republic of China ranks 2nd of 183 countries on this measure, in the top 10%.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 94.52 | 79.03 | 98.39 | 5 |
| 2010s | 98.39 | 98.39 | 98.39 | 5 |
Countries ranked near Hong Kong Special Administrative Region, People's Republic of China
More reference data data for Hong Kong Special Administrative Region, People's Republic of China
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 0.0002 (1990)
- Emission Totals - Emissions (CH4) - Manure Management 0.1704 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 4.77 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 11.57 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0056 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric 6.8 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0052 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 0.4132 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0 (1990)
All data for Hong Kong Special Administrative Region, People's Republic of China β
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Hong Kong Special Administrative Region, People's Republic of China?
- Trading across borders: time to import (days) (db06-15 methodology) in Hong Kong Special Administrative Region, People's Republic of China was 98.39 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Hong Kong Special Administrative Region, People's Republic of China?
- The highest recorded value was 98.39 in 2006.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Hong Kong Special Administrative Region, People's Republic of China?
- The lowest recorded value was 79.03 in 2005.
- How does Hong Kong Special Administrative Region, People's Republic of China rank for trading across borders: time to import (days) (db06-15 methodology)?
- Hong Kong Special Administrative Region, People's Republic of China ranks 2nd out of 183 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Hong Kong Special Administrative Region, People's Republic of China?
- Over the last ten years it is up 24.5%. The long-run trend across the full record is rising.
- Where does this Hong Kong Special Administrative Region, People's Republic of China 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 Β· JSON β 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.