Moldova vs Solomon Islands: Getting credit (DB05-14 methodology) - Score

Moldova
56.25
in 2013
Solomon Islands
56.25
in 2013
Moldova rank
78th
Solomon Islands rank
78th

Getting credit (DB05-14 methodology) - Score over time

  • Moldova
  • Solomon Islands
0204060200420082013

How they compare

Moldova currently reports 56.25 against 56.25 in Solomon Islands, a difference of 0.

The two have swapped places 1 time across 10 shared years of data; in 2004 it was Moldova ahead.

Moldova ranks 78th and Solomon Islands ranks 78th of 181 countries.

Across the 2 decades both report, Moldova averaged higher in 1 and Solomon Islands in 1.

Head to head by decade

Decade Moldova Solomon Islands Difference Ahead
2000s 50 25 25 Moldova
2010s 51.56 56.25 4.69 Solomon Islands

Averages of every year both report within each decade.

Frequently asked questions

Which has higher getting credit (db05-14 methodology) - score, Moldova or Solomon Islands?
Moldova, at 56.25 against 56.25 in Solomon Islands as of 2013.
What is the difference in getting credit (db05-14 methodology) - score between Moldova and Solomon Islands?
0, with Moldova ahead.
How many years of comparable data are there for Moldova and Solomon Islands?
10 years are reported by both, from 2004 to 2013.
How do Moldova and Solomon Islands rank globally for getting credit (db05-14 methodology) - score?
Moldova ranks 78th and Solomon Islands ranks 78th of 181 countries.
Where does this data come from?
The World Bank, published as Getting credit (DB05-14 methodology) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Getting credit (DB05-14 methodology) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
183 places, 1,785 data points, 2004–2013
Last refreshed

The score for getting credit benchmarks economies with respect to the regulatory best practice on the indicator set. The score is indicated on a scale 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 DB05-14 studies.