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Country Rank



Recovery Rank for 184 countries/regions

COVID-19 Recovery Rating


Recovery Index
(Out of 100)

(100 = Best, 0 = Worst)

COVID-19 Severity Rating


Severity Index
(Out of 100)

(0 = Best, 100 = Worst)

Stringency Rating


(100 = Strictest Measures, 0 = No Measures)


(Low Density)

GNI per capita (US$)


(Upper middle income)
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)
1 Countries who are coping with the crisis with a low percentage
of infections and resulting deaths per population
(Relative Rating)
3 Countries who may be overwhelmed by the crisis with a high
percentage of infections and resulting deaths per population
(Relative Rating)

Travel Advisory

1. Flights to Peru are suspended. - This does not apply to flights arriving from Asuncion (ASU), Bogota (BOG), Cali (CLO), Guayaquil (GYE), La Paz (LPB), Medellin (MDE), Montevideo
(MVE), Panama (PTY), Quito (UIO), Santa Cruz (VVI) and Santiago (SCL). -This does not apply to repatriation flights.

2. Passengers must have a medical certificate with a negative Coronavirus (COVID-19) PCR test result. The test must be taken at most 72 hours before departure from the first
embarkation point. - This does not apply to: - repatriation flights. - passenger younger than 12 years, who must have a medical certificate of good health.

3. Passengers must complete a "Affidavit of Health and Geolocation Authorization" at 72 hours before departure.

4. Passengers must install and complete a "Pre Registro de Control Migratorio" in their personal device before departure at . This will
generate a QR code which must be presented upon arrival.

Travel Advisory information provided and published with permission by IATA.

Peru 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.

Peru 53.27 32,510,453 Low Density Upper middle income 21-25 deg
Country Recovery Index Population Density GNI per capita Average Temperature since First Case (Celsius) Match%
Argentina 46.57 44,938,712 Low Density Upper middle income 11-20 deg 85%
Kazakhstan 63.73 18,513,930 Low Density Upper middle income < 10 deg 85%
Algeria 42.07 43,053,054 Low Density Lower middle income 21-25 deg 75%
Angola 32.82 31,825,295 Low Density Lower middle income 21-25 deg 75%
Bolivia 39.72 11,513,100 Low Density Lower middle income 21-25 deg 75%
Zambia 58.19 17,861,030 Low Density Lower middle income 21-25 deg 75%
Australia 86.70 25,364,307 Low Density High income 26-30 deg 60%
Canada 73.86 37,589,262 Low Density High income < 10 deg 60%
Chad 52.59 15,946,876 Low Density Low income > 30 deg 60%
Chile 67.93 18,952,038 Low Density High income < 10 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.

Forecast Results:

Situation May Improve. The GCI Model indicates that the situation has a small probability of recovery, but there is insufficient evidence to suggest that the recovery trend will improve significantly in the near future.

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