Paying taxes: Time to obtain VAT refund (weeks) in Saint Kitts and Nevis

Saint Kitts and Nevis: Paying taxes: Time to obtain VAT refund (weeks) was 42.64 DB17-20 methodology in 2019. ▬ Flat

Latest (2019)
42.64 DB17-20 methodology
Change on year
unchanged
World rank
19th
of 103 countries
All-time high
42.64 DB17-20 methodology
in 2015
All-time low
42.64 DB17-20 methodology
in 2015
Years of data
5
2015–2019

Paying taxes: Time to obtain VAT refund (weeks) in Saint Kitts and Nevis, 2015–2019

0102030402015201720192015: 42.6 DB17-20 methodology2016: 42.6 DB17-20 methodology2017: 42.6 DB17-20 methodology2018: 42.6 DB17-20 methodology2019: 42.6 DB17-20 methodology

Source: World Bank. Measured in DB17-20 methodology.

Analysis

The most recent figure for paying taxes: time to obtain vat refund (weeks) in Saint Kitts and Nevis is 42.64 DB17-20 methodology, measured in 2019. That is the highest value across all 5 years on record.

Compared with earlier readings it is unchanged over five years.

That places Saint Kitts and Nevis 19th out of 103 countries with data for 2019, putting it in the top quarter.

Paying taxes: Time to obtain VAT refund (weeks) in Saint Kitts and Nevis, year by year

Annual values for Paying taxes: Time to obtain VAT refund (weeks) (DB17-20 methodology) in Saint Kitts and Nevis, 2015 to 2019.
Year DB17-20 methodology Change
2015 42.64 DB17-20 methodology
2016 42.64 DB17-20 methodology +0.0%
2017 42.64 DB17-20 methodology +0.0%
2018 42.64 DB17-20 methodology +0.0%
2019 42.64 DB17-20 methodology +0.0%

Countries ranked near Saint Kitts and Nevis

  1. 16 Gabon 44.17 DB17-20 methodology compare
  2. 17 Cyprus 43.79 DB17-20 methodology compare
  3. 18 Lebanon 43.64 DB17-20 methodology compare
  4. 20 Nicaragua 42.6 DB17-20 methodology compare
  5. 21 Mexico 42.02 DB17-20 methodology compare
  6. 22 Lesotho 41.74 DB17-20 methodology compare

See the full ranking of 103 places →

More reference data data for Saint Kitts and Nevis

All data for Saint Kitts and Nevis →

Frequently asked questions

What is paying taxes: time to obtain vat refund (weeks) in Saint Kitts and Nevis?
Paying taxes: time to obtain vat refund (weeks) in Saint Kitts and Nevis was 42.64 DB17-20 methodology in 2019, according to the World Bank.
What is the highest paying taxes: time to obtain vat refund (weeks) recorded in Saint Kitts and Nevis?
The highest recorded value was 42.64 DB17-20 methodology in 2015.
What is the lowest paying taxes: time to obtain vat refund (weeks) recorded in Saint Kitts and Nevis?
The lowest recorded value was 42.64 DB17-20 methodology in 2015.
How does Saint Kitts and Nevis rank for paying taxes: time to obtain vat refund (weeks)?
Saint Kitts and Nevis ranks 19th out of 103 countries with data for 2019.
Where does this Saint Kitts and Nevis data come from?
The figures come from the World Bank, published as part of Paying taxes: Time to obtain VAT refund (weeks) (DB17-20 methodology). Statizoid updates them automatically from the source API.

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Paying taxes: Time to obtain VAT refund (weeks) in Saint Kitts and Nevis. Statizoid. Retrieved 24 August 2026, from https://reference.statizoid.com/stat/paying-taxes-time-to-obtain-vat-refund-weeks-db17-20-methodology/st-kitts-and-nevis/

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About this data

Indicator
Paying taxes: Time to obtain VAT refund (weeks) (DB17-20 methodology)
Unit
DB17-20 methodology
Source
World Bank
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
103 places, 515 data points, 2015–2019
Last refreshed

The time to obtain VAT refund measures the time from purchase of the machine to the date of submission of the refund claim (this is equal to half the filing period), the length of any mandatory period that the excess output VAT must be carried forward before a claim can be made, and the time from the submission of the VAT refund claim to the date the refund is received. If a company that requests a VAT cash refund arising from a capital purchase would be selected for additional review in 50% or more of cases, the duration of the review is included in the time to obtain a VAT refund. The component indicator is computed based on the methodology in the DB17-20 studies.