China vs Latvia: Trading across borders: Documents to import (number) (DB06-15 methodol

China
76.92
in 2014
Latvia
76.92
in 2014
China rank
27th
Latvia rank
27th

Trading across borders: Documents to import (number) (DB06-15 methodol over time

  • China
  • Latvia
020406080200520092014

How they compare

China currently reports 76.92 against 76.92 in Latvia, a difference of 0.

The two have swapped places 2 times across 10 shared years of data; in 2005 it was Latvia ahead.

China ranks 27th and Latvia ranks 27th of 181 countries.

Across the 2 decades both report, China averaged higher in 1 and Latvia in 1.

Head to head by decade

Decade China Latvia Difference Ahead
2000s 70.77 72.31 1.54 Latvia
2010s 76.92 72.31 4.62 China

Averages of every year both report within each decade.

Frequently asked questions

Which has higher trading across borders: documents to import (number) (db06-15 methodol, China or Latvia?
China, at 76.92 against 76.92 in Latvia as of 2014.
What is the difference in trading across borders: documents to import (number) (db06-15 methodol between China and Latvia?
0, with China ahead.
How many years of comparable data are there for China and Latvia?
10 years are reported by both, from 2005 to 2014.
How do China and Latvia rank globally for trading across borders: documents to import (number) (db06-15 methodol?
China ranks 27th and Latvia ranks 27th of 181 countries.
Where does this data come from?
The World Bank, published as Trading across borders: Documents to import (number) (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: Documents to import (number) (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 number of documents 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.