Paying taxes: Time to comply with VAT refund (hours) (DB17-20 methodol in Congo
Congo: Paying taxes: Time to comply with VAT refund (hours) (DB17-20 methodol was 0 in 2019. ▬ Flat
Paying taxes: Time to comply with VAT refund (hours) (DB17-20 methodol in Congo, 2015–2019
Source: World Bank.
Analysis
In 2019, paying taxes: time to comply with vat refund (hours) (db17-20 methodol in Congo stood at 0. That is the highest value across all 5 years on record.
That places Congo 94th out of 154 countries with data for 2019, putting it in the middle of the range.
Countries ranked near Congo
- 91 Tunisia 10 compare
- 92 Ethiopia 6 compare
- 92 Lebanon 6 compare
- 94 China 0 compare
- 94 Bangladesh 0 compare
- 94 India 0 compare
- 94 Nigeria 0 compare
- 94 Pakistan 0 compare
- 94 Brazil 0 compare
- 94 Algeria 0 compare
- 94 Argentina 0 compare
- 94 Belarus 0 compare
- 94 Benin 0 compare
- 94 Bolivia 0 compare
- 94 Burkina Faso 0 compare
- 94 Burundi 0 compare
- 94 Cameroon 0 compare
- 94 Central African Republic 0 compare
- 94 Chad 0 compare
- 94 Colombia 0 compare
- 94 Democratic Republic of Congo 0 compare
- 94 Cote d'Ivoire 0 compare
- 94 Dominican Republic 0 compare
- 94 Ecuador 0 compare
- 94 Egypt 0 compare
- 94 El Salvador 0 compare
- 94 Gambia 0 compare
- 94 Ghana 0 compare
- 94 Grenada 0 compare
- 94 Guatemala 0 compare
- 94 Guinea 0 compare
- 94 Guinea-Bissau 0 compare
- 94 Haiti 0 compare
- 94 Iran 0 compare
- 94 Kazakhstan 0 compare
- 94 Kiribati 0 compare
- 94 Kyrgyzstan 0 compare
- 94 Laos 0 compare
- 94 Madagascar 0 compare
- 94 Maldives 0 compare
- 94 Mali 0 compare
- 94 Mauritania 0 compare
- 94 Mongolia 0 compare
- 94 Myanmar 0 compare
- 94 Nepal 0 compare
- 94 Nicaragua 0 compare
- 94 Niger 0 compare
- 94 Panama 0 compare
- 94 Paraguay 0 compare
- 94 Peru 0 compare
- 94 Philippines 0 compare
- 94 Somalia 0 compare
- 94 Sri Lanka 0 compare
- 94 Sudan 0 compare
- 94 Suriname 0 compare
- 94 Tajikistan 0 compare
- 94 Tanzania 0 compare
- 94 Togo 0 compare
- 94 Uruguay 0 compare
- 94 Uzbekistan 0 compare
- 94 Venezuela 0 compare
- 94 Vietnam 0 compare
- 94 Zimbabwe 0 compare
More reference data data for Congo
- Emission Totals - Emissions (N2O) - Manure Management 0.0724 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 285.33 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 17.7 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure Management 19.18 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 241.83 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.017 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 265.29 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 0.8623 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1.08 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1866 (2050)
Frequently asked questions
- What is paying taxes: time to comply with vat refund (hours) (db17-20 methodol in Congo?
- Paying taxes: time to comply with vat refund (hours) (db17-20 methodol in Congo was 0 in 2019, according to the World Bank.
- What is the highest paying taxes: time to comply with vat refund (hours) (db17-20 methodol recorded in Congo?
- The highest recorded value was 0 in 2015.
- What is the lowest paying taxes: time to comply with vat refund (hours) (db17-20 methodol recorded in Congo?
- The lowest recorded value was 0 in 2015.
- How does Congo rank for paying taxes: time to comply with vat refund (hours) (db17-20 methodol?
- Congo ranks 94th out of 154 countries with data for 2019.
- Where does this Congo data come from?
- The figures come from the World Bank, published as part of Paying taxes: Time to comply with VAT refund (hours) (DB17-20 methodology) - Score. Statizoid updates them automatically from the source API.
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About this data
The score for time to comply with VAT refund 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, and is computed based on the methodology in the DB17-20 studies.