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

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

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

  • Marshall Islands
  • Moldova
0204060200420082013

How they compare

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

The two have swapped places 2 times across 10 shared years of data; in 2004 it was Moldova ahead.

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

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

Head to head by decade

Decade Marshall Islands Moldova Difference Ahead
2000s 31.25 50 18.75 Moldova
2010s 56.25 51.56 4.69 Marshall Islands

Averages of every year both report within each decade.

Frequently asked questions

Which has higher getting credit (db05-14 methodology) - score, Marshall Islands or Moldova?
Marshall Islands, at 56.25 against 56.25 in Moldova as of 2013.
What is the difference in getting credit (db05-14 methodology) - score between Marshall Islands and Moldova?
0, with Marshall Islands ahead.
How many years of comparable data are there for Marshall Islands and Moldova?
10 years are reported by both, from 2004 to 2013.
How do Marshall Islands and Moldova rank globally for getting credit (db05-14 methodology) - score?
Marshall Islands ranks 78th and Moldova 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.