Trading across borders: Documents to import (number) (DB06-15 methodol in Tonga
Tonga: Trading across borders: Documents to import (number) (DB06-15 methodol was 69.23 in 2014. ▬ Flat
Trading across borders: Documents to import (number) (DB06-15 methodol in Tonga, 2005–2014
Source: World Bank.
Analysis
The most recent figure for trading across borders: documents to import (number) (db06-15 methodol in Tonga is 69.23, measured in 2014. That is the highest value across all 10 years on record.
That represents a change of unchanged over ten years.
Over the whole period, trading across borders: documents to import (number) (db06-15 methodol in Tonga peaked at 69.23 in 2005 and was at its lowest, 69.23, in 2005.
Tonga ranks 49th of 181 countries on this measure, in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 69.23 | 69.23 | 69.23 | 5 |
| 2010s | 69.23 | 69.23 | 69.23 | 5 |
Countries ranked near Tonga
- 49 Bolivia 69.23 compare
- 49 Botswana 69.23 compare
- 49 Colombia 69.23 compare
- 49 Czechia 69.23 compare
- 49 Ecuador 69.23 compare
- 49 Equatorial Guinea 69.23 compare
- 49 Eswatini 69.23 compare
- 49 Gambia 69.23 compare
- 49 Greece 69.23 compare
- 49 Grenada 69.23 compare
- 49 Guatemala 69.23 compare
- 49 Guinea-Bissau 69.23 compare
- 49 Honduras 69.23 compare
- 49 Hungary 69.23 compare
- 49 Kiribati 69.23 compare
- 49 Micronesia (country) 69.23 compare
- 49 Morocco 69.23 compare
- 49 New Zealand 69.23 compare
- 49 Romania 69.23 compare
- 49 Samoa 69.23 compare
- 49 Sao Tome and Principe 69.23 compare
- 49 Senegal 69.23 compare
- 49 South Africa 69.23 compare
- 49 Saint Vincent and the Grenadines 69.23 compare
- 49 Suriname 69.23 compare
- 49 Taiwan 69.23 compare
- 49 Tunisia 69.23 compare
- 49 Palestine 69.23 compare
More reference data data for Tonga
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0197 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 9.35 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0269 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0446 (2050)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.0799 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 28.31 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 21.17 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.1068 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0092 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0105 (2050)
Frequently asked questions
- What is trading across borders: documents to import (number) (db06-15 methodol in Tonga?
- Trading across borders: documents to import (number) (db06-15 methodol in Tonga was 69.23 in 2014, according to the World Bank.
- What is the highest trading across borders: documents to import (number) (db06-15 methodol recorded in Tonga?
- The highest recorded value was 69.23 in 2005.
- What is the lowest trading across borders: documents to import (number) (db06-15 methodol recorded in Tonga?
- The lowest recorded value was 69.23 in 2005.
- How does Tonga rank for trading across borders: documents to import (number) (db06-15 methodol?
- Tonga ranks 49th out of 181 countries with data for 2014.
- Is trading across borders: documents to import (number) (db06-15 methodol rising or falling in Tonga?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Tonga data come from?
- The figures come from the World Bank, published as part of Trading across borders: Documents to import (number) (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 number of documents 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.