Trading across borders: Documents to import (number) (DB06-15 methodol in Eswatini
Eswatini: Trading across borders: Documents to import (number) (DB06-15 methodol was 69.23 in 2014. ▲ Rising
Trading across borders: Documents to import (number) (DB06-15 methodol in Eswatini, 2005–2014
Source: World Bank.
Analysis
In 2014, trading across borders: documents to import (number) (db06-15 methodol in Eswatini stood at 69.23. That is the highest value across all 10 years on record.
The figure is up 12.5% over ten years.
Over the whole period, trading across borders: documents to import (number) (db06-15 methodol in Eswatini peaked at 69.23 in 2012 and was at its lowest, 61.54, in 2005.
That places Eswatini 49th out of 181 countries with data for 2014, putting it in the middle of the range.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 61.54 | 61.54 | 61.54 | 5 |
| 2010s | 66.15 | 61.54 | 69.23 | 5 |
Countries ranked near Eswatini
- 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 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 Tonga 69.23 compare
- 49 Tunisia 69.23 compare
- 49 Palestine 69.23 compare
More reference data data for Eswatini
- Emission Totals - Emissions (N2O) - Manure Management 0.0557 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0203 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.3059 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0048 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.82 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 1.66 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.3309 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.3309 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0.0097 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.026 (2050)
Frequently asked questions
- What is trading across borders: documents to import (number) (db06-15 methodol in Eswatini?
- Trading across borders: documents to import (number) (db06-15 methodol in Eswatini 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 Eswatini?
- The highest recorded value was 69.23 in 2012.
- What is the lowest trading across borders: documents to import (number) (db06-15 methodol recorded in Eswatini?
- The lowest recorded value was 61.54 in 2005.
- How does Eswatini rank for trading across borders: documents to import (number) (db06-15 methodol?
- Eswatini 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 Eswatini?
- Over the last ten years it is up 12.5%. The long-run trend across the full record is rising.
- Where does this Eswatini 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.