Singapore vs Solomon Islands: Paying taxes: Time (hours per year) - Score

Singapore
97.68
in 2019
Solomon Islands
95.21
in 2019
Singapore rank
12th
Solomon Islands rank
15th

Paying taxes: Time (hours per year) - Score over time

  • Singapore
  • Solomon Islands
020406080100200520122019

How they compare

Singapore currently reports 97.68 against 95.21 in Solomon Islands, a difference of 2.47.

The two have swapped places 2 times across 15 shared years of data; in 2005 it was Singapore ahead.

Singapore ranks 12th and Solomon Islands ranks 15th of 188 countries.

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

Head to head by decade

Decade Singapore Solomon Islands Difference Ahead
2000s 97.79 95.21 2.58 Singapore
2010s 95.77 95.21 0.5641 Singapore

Averages of every year both report within each decade.

Frequently asked questions

Which has higher paying taxes: time (hours per year) - score, Singapore or Solomon Islands?
Singapore, at 97.68 against 95.21 in Solomon Islands as of 2019.
What is the difference in paying taxes: time (hours per year) - score between Singapore and Solomon Islands?
2.47, with Singapore ahead.
How many years of comparable data are there for Singapore and Solomon Islands?
15 years are reported by both, from 2005 to 2019.
How do Singapore and Solomon Islands rank globally for paying taxes: time (hours per year) - score?
Singapore ranks 12th and Solomon Islands ranks 15th of 188 countries.
Where does this data come from?
The World Bank, published as Paying taxes: Time (hours per year) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Paying taxes: Time (hours per year) - Score
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
190 places, 2,783 data points, 2005–2019
Last refreshed

The score for time to comply with tax laws benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance.