Trading across borders: Time to export (days) … days DB06-15 export in Venezuela
Venezuela: Trading across borders: Time to export (days) … days DB06-15 export was 0 in 2014. ◆ Volatile
Trading across borders: Time to export (days) (DB06-15 methodology) in Venezuela, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: time to export (days) (db06-15 methodology) in Venezuela stood at 0. That is the lowest value across all 10 years on record.
The figure is down 100.0% over ten years.
Over the whole period, trading across borders: time to export (days) (db06-15 methodology) in Venezuela peaked at 45.83 in 2006 and was at its lowest, 0, in 2013.
Venezuela ranks 176th 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 export (days) … days DB06-15 export in Venezuela, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | 41.67 | — |
| 2006 | 45.83 | +10.0% |
| 2007 | 18.75 | -59.1% |
| 2008 | 10.42 | -44.4% |
| 2009 | 10.42 | +0.0% |
| 2010 | 10.42 | +0.0% |
| 2011 | 10.42 | +0.0% |
| 2012 | 10.42 | +0.0% |
| 2013 | 0 | -100.0% |
| 2014 | 0 | — |
Venezuela compared with similar countries
- Venezuela's 0 is below the median for lower middle income countries, which is 63.54. (46 countries reporting)
- Venezuela's 0 is below the median for Latin America & Caribbean, which is 82.29. (32 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 25.42 | 10.42 | 45.83 | 5 |
| 2010s | 6.25 | 0 | 10.42 | 5 |
Countries ranked near Venezuela
- 174 Zambia 6.25 compare
- 175 Zimbabwe 2.08 compare
- 176 Afghanistan 0
- 176 Chad 0
- 176 Iraq 0
- 176 Kazakhstan 0
- 176 Kyrgyzstan 0
- 176 Niger 0
- 176 Tajikistan 0
- 176 Uzbekistan 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 export (days) (db06-15 methodology) in Venezuela?
- Trading across borders: time to export (days) (db06-15 methodology) in Venezuela was 0 in 2014, according to the World Bank.
- What is the highest trading across borders: time to export (days) (db06-15 methodology) recorded in Venezuela?
- The highest recorded value was 45.83 in 2006.
- What is the lowest trading across borders: time to export (days) (db06-15 methodology) recorded in Venezuela?
- The lowest recorded value was 0 in 2013.
- How does Venezuela rank for trading across borders: time to export (days) (db06-15 methodology)?
- Venezuela ranks 176th out of 184 countries with data for 2014.
- Is trading across borders: time to export (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 export (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 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.