The GCI Dashboard
Version:Country Rank
117
France
Recovery Rank for 180 countries/regions
COVID-19 Recovery Rating
3
Recovery Index
53.28
(Out of 100)
(100 = Best, 0 = Worst)
COVID-19 Severity Rating
5
Severity Index
70.34
(Out of 100)
(0 = Best, 100 = Worst)
Stringency Rating
N/A
(100 = Strictest Measures, 0 = No Measures)
Population
(Medium Density)
GNI per capita (US$)
41,090
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) |
4 | |
3 | |
2 | Countries who are struggling to cope with the crisis and who may need to consider maintaining stringent non-pharmaceutical measures (Relative Rating) |
1 |
1 |
Countries who are coping with the crisis with a low percentage of infections and resulting deaths per population (Relative Rating) |
2 | |
3 |
Countries who may be overwhelmed by the crisis with a high percentage of infections and resulting deaths per population (Relative Rating) |
4 | |
5 |
Travel Advisory
1. Passengers are not allowed to enter. - This does not apply to: - nationals of France, their spouses and children; - nationals of Andorra, Monaco, San Marino, Switzerland, |
|
Travel Advisory information provided and published with permission by IATA. (Timatic COVID-19 Alerts Service has been discontinued on 1/1/2022, please refer this page for latest travel advisory) |
France 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.
France | 53.28 | 67,059,887 | Medium Density | High income | < 10 deg | |
Country | Recovery Index | Population | Density | GNI per capita | Average Temperature since First Case (Celsius) |
Match% |
---|---|---|---|---|---|---|
Germany | 48.82 | 83,132,799 | Medium Density | High income | < 10 deg | 100% |
Italy | 38.68 | 60,297,396 | Medium Density | High income | < 10 deg | 100% |
Congo Democratic Republic | 57.47 | 86,790,567 | Medium Density | Low income | 26-30 deg | 60% |
Egypt | 66.26 | 100,388,073 | Medium Density | Lower middle income | 21-25 deg | 60% |
Iran | 71.96 | 82,913,906 | Medium Density | Upper middle income | 11-20 deg | 60% |
Kenya | 55.78 | 52,573,973 | Medium Density | Lower middle income | 26-30 deg | 60% |
Myanmar | 61.83 | 54,045,420 | Medium Density | Lower middle income | 26-30 deg | 60% |
South Africa | 57.52 | 58,558,270 | Medium Density | Upper middle income | 11-20 deg | 60% |
Tanzania | 55.61 | 58,005,463 | Medium Density | Lower middle income | 21-25 deg | 60% |
Thailand | 70.22 | 69,625,582 | Medium Density | Upper middle income | 26-30 deg | 60% |
GCI Recovery Forecast
The GCI Recovery Forecasting methodology relies on a Monte Carlo simulation model as we recognise that the factors that contribute to an increase / decrease in confirmed COVID19 cases are highly variable and subject to various localised circumstances and interventions. The P10 / P50 / P90 are probabilities assigned to the forecasts, with P10 being highly optimistic, and P90 being very conservative on recovery and reduction in cases. The forecast model is updated daily based on the latest case data.