Seychelles vs Timor-Leste: Getting credit (DB05-14 methodology) - Score

Seychelles
25
in 2013
Timor-Leste
31.25
in 2013
Seychelles rank
162nd
Timor-Leste rank
159th

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

  • Seychelles
  • Timor-Leste
0102030200420082013

How they compare

Timor-Leste currently reports 31.25 against 25 in Seychelles, a difference of 6.25.

That makes Timor-Leste's figure about 1.2 times Seychelles's.

The two have swapped places 1 time across 9 shared years of data; in 2005 it was Seychelles ahead.

Seychelles ranks 162nd and Timor-Leste ranks 159th of 181 countries.

Seychelles has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Seychelles Timor-Leste Difference Ahead
2000s 25 12.5 12.5 Seychelles
2010s 25 17.19 7.81 Seychelles

Averages of every year both report within each decade.

Frequently asked questions

Which has higher getting credit (db05-14 methodology) - score, Seychelles or Timor-Leste?
Timor-Leste, at 31.25 against 25 in Seychelles as of 2013.
What is the difference in getting credit (db05-14 methodology) - score between Seychelles and Timor-Leste?
6.25, with Timor-Leste ahead.
How many years of comparable data are there for Seychelles and Timor-Leste?
9 years are reported by both, from 2005 to 2013.
How do Seychelles and Timor-Leste rank globally for getting credit (db05-14 methodology) - score?
Seychelles ranks 162nd and Timor-Leste ranks 159th 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.