Trading across borders: Time to import (days) (DB06-15 methodology) in Belarus

Belarus: Trading across borders: Time to import (days) (DB06-15 methodology) was 58.06 in 2014. ▲ Rising

Latest (2014)
58.06
Change on year
unchanged
World rank
141st
of 184 countries
All-time high
58.06
in 2010
All-time low
45.16
in 2005
Years of data
10
2005–2014

Trading across borders: Time to import (days) (DB06-15 methodology) in Belarus, 2005–2014

02040602005200920142005: 45.22006: 45.22007: 45.22008: 502009: 56.52010: 58.12011: 58.12012: 58.12013: 58.12014: 58.1

Source: World Bank.

Analysis

The most recent figure for trading across borders: time to import (days) (db06-15 methodology) in Belarus is 58.06, measured in 2014. That is the highest value across all 10 years on record.

That represents a change of up 28.6% over ten years.

Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Belarus peaked at 58.06 in 2010 and was at its lowest, 45.16, in 2005.

That places Belarus 141st out of 184 countries with data for 2014, putting it in the bottom quarter.

Trading across borders: Time to import (days) (DB06-15 methodology) in Belarus, year by year

Annual values for Trading across borders: Time to import (days) (DB06-15 methodology) - Score in Belarus, 2005 to 2014.
Year Value Change
2005 45.16 —
2006 45.16 +0.0%
2007 45.16 +0.0%
2008 50 +10.7%
2009 56.45 +12.9%
2010 58.06 +2.9%
2011 58.06 +0.0%
2012 58.06 +0.0%
2013 58.06 +0.0%
2014 58.06 +0.0%

Belarus compared with similar countries

  • Belarus's 58.06 is below the median for upper middle income countries, which is 75.81, 77% of the median. (55 countries reporting)
  • Belarus's 58.06 is below the median for Europe & Central Asia, which is 84.68, 69% of the median. (48 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2000s 48.39 45.16 56.45 5
2010s 58.06 58.06 58.06 5

Countries ranked near Belarus

  1. 139 Liberia 59.68 compare
  2. 139 Togo 59.68 compare
  3. 141 Argentina 58.06 compare
  4. 141 Lebanon 58.06 compare
  5. 141 Palau 58.06 compare
  6. 141 Papua New Guinea 58.06 compare
  7. 141 Paraguay 58.06 compare

See the full ranking of 184 places →

More reference data data for Belarus

All data for Belarus →

Frequently asked questions

What is trading across borders: time to import (days) (db06-15 methodology) in Belarus?
Trading across borders: time to import (days) (db06-15 methodology) in Belarus was 58.06 in 2014, according to the World Bank.
What is the highest trading across borders: time to import (days) (db06-15 methodology) recorded in Belarus?
The highest recorded value was 58.06 in 2010.
What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Belarus?
The lowest recorded value was 45.16 in 2005.
How does Belarus rank for trading across borders: time to import (days) (db06-15 methodology)?
Belarus ranks 141st out of 184 countries with data for 2014.
Is trading across borders: time to import (days) (db06-15 methodology) rising or falling in Belarus?
Over the last ten years it is up 28.6%. The long-run trend across the full record is rising.
Where does this Belarus 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.

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Trading across borders: Time to import (days) (DB06-15 methodology) in Belarus. Statizoid. Retrieved 25 September 2026, from https://reference.statizoid.com/stat/trading-across-borders-time-to-import-days-db06-15-methodology-score/belarus/

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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
184 places, 1,819 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.