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

Argentina: Trading across borders: Time to import (days) (DB06-15 methodology) was 58.06 in 2014. ▼ Falling

Latest (2014)
58.06
Change on year
unchanged
World rank
141st
of 184 countries
All-time high
80.65
in 2009
All-time low
58.06
in 2012
Years of data
10
2005–2014

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

0204060802005200920142005: 74.22006: 74.22007: 74.22008: 77.42009: 80.62010: 80.62011: 80.62012: 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 Argentina is 58.06, measured in 2014. That is the lowest value across all 10 years on record.

That represents a change of down 21.7% over ten years.

Over the whole period, trading across borders: time to import (days) (db06-15 methodology) in Argentina peaked at 80.65 in 2009 and was at its lowest, 58.06, in 2012.

That places Argentina 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 Argentina, year by year

Annual values for Trading across borders: Time to import (days) (DB06-15 methodology) - Score in Argentina, 2005 to 2014.
Year Value Change
2005 74.19 —
2006 74.19 +0.0%
2007 74.19 +0.0%
2008 77.42 +4.3%
2009 80.65 +4.2%
2010 80.65 +0.0%
2011 80.65 +0.0%
2012 58.06 -28.0%
2013 58.06 +0.0%
2014 58.06 +0.0%

Argentina compared with similar countries

  • Argentina's 58.06 is below the median for upper middle income countries, which is 75.81, 77% of the median. (55 countries reporting)
  • Argentina's 58.06 is below the median for Latin America & Caribbean, which is 81.45, 71% of the median. (32 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2000s 76.13 74.19 80.65 5
2010s 67.1 58.06 80.65 5

Countries ranked near Argentina

  1. 139 Liberia 59.68 compare
  2. 139 Togo 59.68 compare
  3. 141 Belarus 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 Argentina

All data for Argentina →

Frequently asked questions

What is trading across borders: time to import (days) (db06-15 methodology) in Argentina?
Trading across borders: time to import (days) (db06-15 methodology) in Argentina 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 Argentina?
The highest recorded value was 80.65 in 2009.
What is the lowest trading across borders: time to import (days) (db06-15 methodology) recorded in Argentina?
The lowest recorded value was 58.06 in 2012.
How does Argentina rank for trading across borders: time to import (days) (db06-15 methodology)?
Argentina 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 Argentina?
Over the last ten years it is down 21.7%. The long-run trend across the full record is falling.
Where does this Argentina 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 Argentina. Statizoid. Retrieved 25 September 2026, from https://reference.statizoid.com/stat/trading-across-borders-time-to-import-days-db06-15-methodology-score/argentina/

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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.