The GCI Dashboard
Recovery Rank for 184 countries/regions
COVID-19 Recovery Rating
(Out of 100)
(100 = Best, 0 = Worst)
COVID-19 Severity Rating
(Out of 100)
(0 = Best, 100 = Worst)
(100 = Strictest Measures, 0 = No Measures)
GNI per capita (US$)
|5||Countries who have made the most progress in
curtailing the spread of the pandemic and can be
used as examples of best practices (Relative Rating)
|2||Countries who are struggling to cope with the crisis
and who may need to consider maintaining stringent
non-pharmaceutical measures (Relative Rating)
Countries who are coping with the crisis with a low percentage
of infections and resulting deaths per population
Countries who may be overwhelmed by the crisis with a high
percentage of infections and resulting deaths per population
1. Passengers and airline crew are not allowed to enter Thailand until 31 July 2020.
- This does not apply to:
- nationals and residents of Thailand;
- passengers who are spouses, parents or children of a national of Thailand;
- airline crew with a return scheduled flight;
2. Passengers must have a medical certificate with a negative Coronavirus (COVID-19) test result.
3. Passengers must have an insurance to cover medical expenses in Thailand.
4. Passengers are subject to medical screening and quarantine.
5. Airline crew are subject to self-isolation until their next scheduled flight.
Travel Advisory information provided and published with permission by IATA.
Thailand Infection Trend
How can you tell if a curve is really flattening?
The number of daily confirmed cases has been used as an estimation of how severe the COVID-19 situation is in a given country. However, we’ve found that focusing on the country’s cumulative number of active cases gives a clearer picture of whether the infection curve is flattening.
Countries with Similar Characteristics
This table is generated by a GCI-developed tool to match countries based on their similar characteristics such as population, population density, income and climate.
|Thailand||83.45||69,428,524||Medium Density||Upper middle income||26-30 deg|
|Country||Recovery Index||Population||Density||GNI per capita||Average Temperature since First Case (Celsius)||Match%|
|Iran||54.65||81,800,269||Medium Density||Upper middle income||11-20 deg||85%|
|South Africa||33.29||57,779,622||Medium Density||Upper middle income||11-20 deg||85%|
|Turkey||62.63||82,319,724||Medium Density||Upper middle income||11-20 deg||85%|
|Congo Democratic Republic||41.78||84,068,091||Medium Density||Low income||26-30 deg||75%|
|Kenya||47.18||51,393,010||Medium Density||Lower middle income||26-30 deg||75%|
|Myanmar||68.17||53,708,395||Medium Density||Lower middle income||26-30 deg||75%|
|Egypt||33.63||98,423,595||Medium Density||Lower middle income||21-25 deg||60%|
|France||42.58||66,977,107||Medium Density||High income||< 10 deg||60%|
|Germany||73.45||82,905,782||Medium Density||High income||< 10 deg||60%|
|Italy||65.68||60,421,760||Medium Density||High income||< 10 deg||60%|