Guyana vs India: Trading across borders: Time to import (days) (DB06-15 methodology)

Guyana
70.97
in 2014
India
72.48
in 2014
Guyana rank
102nd
India rank
101st

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

  • Guyana
  • India
020406080200520092014

How they compare

India currently reports 72.48 against 70.97 in Guyana, a difference of 1.51.

The two have swapped places 1 time across 10 shared years of data; in 2005 it was Guyana ahead.

Guyana ranks 102nd and India ranks 101st of 181 countries.

Across the 2 decades both report, Guyana averaged higher in 1 and India in 1.

Head to head by decade

Decade Guyana India Difference Ahead
2000s 65.16 60.32 4.84 Guyana
2010s 70.97 73.51 2.54 India

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), Guyana or India?
India, at 72.48 against 70.97 in Guyana as of 2014.
What is the difference in trading across borders: time to import (days) (db06-15 methodology) between Guyana and India?
1.51, with India ahead.
How many years of comparable data are there for Guyana and India?
10 years are reported by both, from 2005 to 2014.
How do Guyana and India rank globally for trading across borders: time to import (days) (db06-15 methodology)?
Guyana ranks 102nd and India ranks 101st 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.