Belize vs Suriname: Trading across borders: Time to import (days) (DB06-15 methodology)

Belize
75.81
in 2014
Suriname
75.81
in 2014
Belize rank
86th
Suriname rank
86th

Trading across borders: Time to import (days) (DB06-15 methodology) over time

  • Belize
  • Suriname
020406080200520092014

How they compare

Belize currently reports 75.81 against 75.81 in Suriname, a difference of 0.

Across all 10 years both countries report, Suriname has been ahead every year.

Belize ranks 86th and Suriname ranks 86th of 181 countries.

Suriname has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Belize Suriname Difference Ahead
2000s 72.58 75.16 2.58 Suriname
2010s 74.19 75.81 1.61 Suriname

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: time to import (days) (db06-15 methodology), Belize or Suriname?
Belize, at 75.81 against 75.81 in Suriname as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Belize and Suriname?
0, with Belize ahead.
How many years of comparable data are there for Belize and Suriname?
10 years are reported by both, from 2005 to 2014.
How do Belize and Suriname rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Belize ranks 86th and Suriname ranks 86th of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Time to import (days) (DB06-15 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Trading across borders: Time to import (days) (DB06-15 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
183 places, 1,813 data points, 2005–2014
Last refreshed

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.