Trading across borders: Time to import (days) … days DB06-15 import in Venezuela
Venezuela: Trading across borders: Time to import (days) … days DB06-15 import was 0 in 2014. ◆ Volatile
Trading across borders: Time to import (days) (DB06-15 methodology) in Venezuela, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: time to import (days) (db06-15 methodology) in Venezuela stood at 0. That is the lowest value across all 10 years on record.
Compared with earlier readings it is down 100.0% over ten years.
Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Venezuela peaked at 38.71 in 2005 and was at its lowest, 0, in 2006.
Venezuela ranks 175th of 184 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Trading across borders: Time to import (days) … days DB06-15 import in Venezuela, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 38.71 | — |
| 2006 | 0 | -100.0% |
| 2007 | 1.61 | — |
| 2008 | 0 | -100.0% |
| 2009 | 0 | — |
| 2010 | 0 | — |
| 2011 | 0 | — |
| 2012 | 0 | — |
| 2013 | 0 | — |
| 2014 | 0 | — |
Venezuela compared with similar countries
- Venezuela's 0 is below the median for lower middle income countries, which is 62.9. (46 countries reporting)
- Venezuela's 0 is below the median for Latin America & Caribbean, which is 81.45. (32 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 8.06 | 0 | 38.71 | 5 |
| 2010s | 0 | 0 | 0 | 5 |
Countries ranked near Venezuela
- 172 Eritrea 11.29 compare
- 173 Niger 8.06 compare
- 174 Democratic Republic of Congo 4.84 compare
- 175 Afghanistan 0
- 175 Central African Republic 0 compare
- 175 Chad 0
- 175 Iraq 0
- 175 Kazakhstan 0 compare
- 175 Kyrgyzstan 0
- 175 Tajikistan 0 compare
- 175 Uzbekistan 0
- 175 Zimbabwe 0
More reference data data for Venezuela
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 384.74 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Manure Management 1,173 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 43,034 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 41.9 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.1023 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.91 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop 110.44 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Enteric 39,390 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 1,537 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.45 (2050)
Frequently asked questions
- What is trading across borders: time to import (days) (db06-15 methodology) in Venezuela?
- Trading across borders: time to import (days) (db06-15 methodology) in Venezuela was 0 in 2014, according to the World Bank.
- What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Venezuela?
- The highest recorded value was 38.71 in 2005.
- What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Venezuela?
- The lowest recorded value was 0 in 2006.
- How does Venezuela rank for trading across borders: time to import (days) (db06-15 methodology)?
- Venezuela ranks 175th out of 184 countries with data for 2014.
- Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Venezuela?
- Over the last ten years it is down 100.0%. The long-run trend across the full record is volatile.
- Where does this Venezuela 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.