Sao Tome and Principe - Risk Layer Dashboard
Changing Risk
Hazard and risk are no constants. They can change over time either due to developments in exposure and vulnerability as a consequence of human activity or by variations in external hazards e.g. due to a changing climate.
This panel shows you today's risk radar and line-histograms showing you the distribution of risk for each peril accross the population for today's and future conditions (if known, otherwise constant)
Total risk score today:
Total risk score in 2080:
Climate Risk by 2080 similar to today in:
Northern Cyprus
Israel
Switzerland
Guinea-Bissau
Natural Hazards
Natural hazards are diverse and their impact on each region unique. If a region is affected by a certain peril, its hazard can be quantified both by expected maximum impact within a certain time period or average annual conditions.
This panel shows you different perspectives on natural hazards affecting Sao Tome and Principe contextualized towards their actual risk to the society and in absolute numbers.
Tropical Cyclone
With landfall on the destination |
Tsunami
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Sea Level Rise
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Extreme PrecipitationSociety
Societies evolve, in this panel we summarize various economic, societal and environmental parameters together provided by international institutions to measure their respective level of human development.
A low score indicates a difficult precondition in this country. A high score indicates beneficial preconditions on a global comparison.
Society Indicator Details
| Access to electricity, urban (% of urban population) | |
| Access to electricity (% of population) | |
| Literacy rate, youth (ages 15-24), gender parity index (GPI) | |
| Literacy rate, youth total (% of people ages 15-24) | |
| Literacy rate, adult total (% of people ages 15 and above) | |
| Women participating in the three decisions (own health care, major household purchases, and visiting family) (% of women age 15-49) | |
| Women making their own informed decisions regarding sexual relations, contraceptive use and reproductive health care (% of women age 15-49) | |
| Proportion of seats held by women in national parliaments (%) | |
| Women Business and the Law Index Score (scale 1-100) | |
| Corruption Perception Index - Transparency International (2018) | |
| Freedom of speech index | |
| Human rights index | |
| Civil liberties index |
A low score indicates a difficult precondition in this country. A high score indicates beneficial preconditions on a global comparison.
Environment Indicator Details
| CO2 emissions (kt) | |
| Renewable electricity output (% of total electricity output) | |
| Bird species, threatened | |
| Fish species, threatened | |
| Plant species (higher), threatened | |
| Mammal species, threatened | |
| Population living in slums (% of urban population) | |
| Terrestrial protected areas (% of total land area) | |
| Marine protected areas (% of territorial waters) | |
| Terrestrial and marine protected areas (% of total territorial area) | |
| Plastic waste emitted to the ocean | |
| Plastic waste mismanaged |
A low score indicates a difficult precondition in this country. A high score indicates beneficial preconditions on a global comparison.
Health Indicator Details
| Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions (% of total) | |
| Cause of death, by non-communicable diseases (% of total) | |
| Prevalence of HIV, total (% of population ages 15-49) | |
| Hospital beds (per 1,000 people) | |
| Incidence of malaria (per 1,000 population at risk) | |
| Mortality rate attributed to household and ambient air pollution, age-standardized (per 100,000 population) | |
| Incidence of tuberculosis (per 100,000 people) | |
| Total annual deaths from air pollution |
A low score indicates a difficult precondition in this country. A high score indicates beneficial preconditions on a global comparison.
Economy Indicator Details
| Energy intensity level of primary energy (MJ/$2017 PPP GDP) | |
| Ease of doing business score (0 = lowest performance to 100 = best performance) | |
| Business extent of disclosure index (0=less disclosure to 10=more disclosure) | |
| Mobile cellular subscriptions (per 100 people) | |
| Secure Internet servers (per 1 million people) | |
| Individuals using the Internet (% of population) | |
| Gini index | |
| International tourism, number of arrivals |
A low score indicates a difficult precondition in this country. A high score indicates beneficial preconditions on a global comparison.
Geography Indicator Details
| Forest area (% of land area) | |
| Rural population living in areas where elevation is below 5 meters (% of total population) | |
| Urban population living in areas where elevation is below 5 meters (% of total population) | |
| Population living in areas where elevation is below 5 meters (% of total population) |
Topics
This graph examines the news sentiment within a given time interval towards various topics of societal relevance, including natural hazards, unrest and terror. The value indicators positive/negative sentiment within global newsoutlets towards a topic with connection to Sao Tome and Principe. Only topics with sufficient news coverage are listed.
Current and previous sentiment cover the differences between e.g. today (or this week) vs. yesterday (or last week).
Time Window:
Current Sentiment:
Previous Sentiment:
Sentiment by frequent topics
Dashwords
Time
News sentiment of articles mentioning Sao Tome and Principe and over time.
Sentiment over time
Countries
Sentiment distribution by co-mentioned countries.
This distribution indicates whether news articles covering both countries have a positive or negative sentiment.
News data above has been compiled from the GDELT Project database and processing and analysis was taken out by Risklayer.
Dashwords
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Depth= 10 km
1.71°N 8.18°E
2019/12/19 16:25, 4 years, 11 months ago
