Trading across borders: Time to export (days) … days DB06-15 export in Equatorial Guinea

Equatorial Guinea: Trading across borders: Time to export (days) … days DB06-15 export was 52.08 in 2014. ▬ Flat

Latest (2014)
52.08
Change on year
unchanged
World rank
152nd
of 184 countries
All-time high
52.08
in 2005
All-time low
50
in 2008
Years of data
10
2005–2014

Trading across borders: Time to export (days) (DB06-15 methodology) in Equatorial Guinea, 2005–2014

02040602005200920142005: 52.12006: 52.12007: 52.12008: 502009: 502010: 52.12011: 52.12012: 52.12013: 52.12014: 52.1

Source: World Bank.

Analysis

Equatorial Guinea recorded 52.08 for trading across borders: time to export (days) (db06-15 methodology) in 2014. That is the highest value across all 10 years on record.

The figure is unchanged over ten years.

Over the whole period, trading across borders: time to export (days) (db06-15 methodology) in Equatorial Guinea peaked at 52.08 in 2005 and was at its lowest, 50, in 2008.

That places Equatorial Guinea 152nd out of 184 countries with data for 2014, putting it in the bottom quarter.

Trading across borders: Time to export (days) … days DB06-15 export in Equatorial Guinea, year by year

Annual values for Trading across borders: Time to export (days) (DB06-15 methodology) - Score in Equatorial Guinea, 2005 to 2014.
Year Value Change
2005 52.08 —
2006 52.08 +0.0%
2007 52.08 +0.0%
2008 50 -4.0%
2009 50 +0.0%
2010 52.08 +4.2%
2011 52.08 +0.0%
2012 52.08 +0.0%
2013 52.08 +0.0%
2014 52.08 +0.0%

Equatorial Guinea compared with similar countries

  • Equatorial Guinea's 52.08 is below the median for upper middle income countries, which is 77.08, 68% of the median. (55 countries reporting)
  • Equatorial Guinea's 52.08 is below the median for Sub-Saharan Africa, which is 58.33, 89% of the median. (46 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2000s 51.25 50 52.08 5
2010s 52.08 52.08 52.08 5

Countries ranked near Equatorial Guinea

  1. 151 Bangladesh 53.46 compare
  2. 152 Paraguay 52.08 compare
  3. 152 Ukraine 52.08 compare
  4. 152 Yemen 52.08 compare

See the full ranking of 184 places →

More reference data data for Equatorial Guinea

All data for Equatorial Guinea →

Frequently asked questions

What is trading across borders: time to export (days) (db06-15 methodology) in Equatorial Guinea?
Trading across borders: time to export (days) (db06-15 methodology) in Equatorial Guinea was 52.08 in 2014, according to the World Bank.
What is the highest trading across borders: time to export (days) (db06-15 methodology) recorded in Equatorial Guinea?
The highest recorded value was 52.08 in 2005.
What is the lowest trading across borders: time to export (days) (db06-15 methodology) recorded in Equatorial Guinea?
The lowest recorded value was 50 in 2008.
How does Equatorial Guinea rank for trading across borders: time to export (days) (db06-15 methodology)?
Equatorial Guinea ranks 152nd out of 184 countries with data for 2014.
Is trading across borders: time to export (days) (db06-15 methodology) rising or falling in Equatorial Guinea?
Over the last ten years it is unchanged. The long-run trend across the full record is flat.
Where does this Equatorial Guinea 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.

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Trading across borders: Time to export (days) (DB06-15 methodology) in Equatorial Guinea. Statizoid. Retrieved 14 November 2026, from https://reference.statizoid.com/stat/trading-across-borders-time-to-export-days-db06-15-methodology-score/equatorial-guinea/

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About this data

Indicator
Trading across borders: Time to export (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 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.