Ecuador: Social vulnerability and integrated risk
Data overview
The social vulnerability indicators for Ecuador are spread over the themes of population, economy, infrastructure, education,and health. The dataset of Ecuador is composed by 56 indicators at level P3 of subnational geographic organization given in 1024 subdivisions distributed into parishes known in Ecuador as parroquias. The chart below (figure 1) explains the percentage of variables in the total dataset under each specific main theme.
Figure 1
Indicators are separated into groups (or sub-indices) that share the same dimension (e.g. population, economy, infrastructure, etc.). These individual indicators are aggregated into sub-indices, and the sub-indices are, in turn, aggregated to construct the final composite model. Table 1 shows the entire dataset variables for Ecuador divided in the respective themes and subthemes.
Table 1. Ecuador variables of social vulnerability
Theme | Sub-theme | Variable |
---|---|---|
Population | Vulnerable Population | Female Population |
Population | Vulnerable Population | Native Indigeneous Population |
Population | Vulnerable Population | Population Age 0 - 10 |
Population | Vulnerable Population | Population not in the labor force (Age 0-15 and 65+) |
Population | Vulnerable Population | Population with NO birth certificate |
Population | Vulnerable Population | Population over 65 |
Population | Vulnerable Population | Total population with a disability |
Population | Vulnerable Population | Household - Paying monthly rent |
Population | Vulnerable Population | Population under 5 years old |
Population | Vulnerable Population | Population speaking a native indigenous language |
Population | Vulnerable Population | Age dependance |
Population | Population Structure | Population |
Population | Population Structure | Male Population |
Population | Population Structure | Population Density (inhabitants/km2) |
Population | Population Structure | Number of Households |
Population | Population Structure | Total Dwellings |
Population | Population Structure | Dwelling Type - House |
Population | Population Structure | Dwelling Type - Apartment Building |
Population | Population Structure | Dwelling Type - Tenement (Inquilinato) |
Population | Population Structure | Dwelling Type - Hut |
Population | Population Structure | Multi residential building, hotels, hospitals |
Population | Population Structure | Number of people per Household |
Population | Labour Market | Labor Force Age 15-64 |
Infrastructure | Transport and Communication | Mobile cellular subscriptions |
Infrastructure | Transport and Communication | household with Computer and Internet |
Infrastructure | Transport and Communication | Household with NO Cable Television |
Infrastructure | Transport and Communication | Household with NO fixed Telephone line |
Infrastructure | Transport and Communication | In household Cell phone |
Infrastructure | Energy, Water and Sanitation | Households with accessto improved water source |
Infrastructure | Energy, Water and Sanitation | Households with access to Electric Energy Public distribution |
Infrastructure | Energy, Water and Sanitation | Propane Gas tank as fuel to cook |
Infrastructure | Energy, Water and Sanitation | Natural Gas public distribution to dwelling |
Infrastructure | Energy, Water and Sanitation | Household with NO bathroom |
Infrastructure | Energy, Water and Sanitation | Dwelling with public sewage system |
Infrastructure | Energy, Water and Sanitation | No Sewage system |
Health | Healthcare status | Population registered to national healthcare |
Health | Healthcare status | Population with Private healthcare insurance |
Health | Healthcare status | Population with no healthcare |
Health | Healthcare resources | Population employed in the Health sector |
Health | Healthcare resources | Hospital Clinics |
Health | Healthcare resources | Hospital , Clinics per 1000 population |
Education | Education Outcome | Illiteracy Rate |
Education | Education Outcome | Education Level completed Primary |
Education | Education Outcome | Education Level Secondary |
Education | Education Outcome | Education Level Completed (Superior, Technical, University) |
Education | Education Outcome | Population with NO formal education |
Education | Education Outcome | Population with NO formal education |
Education | Education Outcome | Population that does not read and Write (15+ years) |
Education | Education Access | Population Knows how to Read and Write |
Economy | Labour Market | Population employeed in the Manufacturing Industry (15-64) |
Economy | Labour Market | NOT Economically Active Population (EAP) |
Economy | Labour Market | Economically Active Population (EAP) |
Economy | Labour Market | Population employeed in the Commercial Industry (15-64) |
Economy | Labour Market | Population employed in the Hotels/Restaurant sector |
Economy | Income distribution and Poverty | Households in poverty by UBN |
Economy | Income distribution and Poverty | population in poverty by UBN |
The entire 56 indicators were statistically analyzed. In addition to a harmonized dataset, a reduction of the socio-economic indicators into a smaller parsimonious set of variables that best represent social and economic vulnerability cluster analysis was performed. The multi-variable statistical analysis was utilized to provide a statistical basis for the choice of indicators.
Final variable selection
A correlation analysis was performed on the above variables (table 1). Highly correlated variables (Spearman’s R>0.700) were eliminated from further consideration to avoid subjectively choosing one variable over another for inclusion in subsequent analyses. The correlation analysis is useful in reducing the data to a set of variables that are parsimonious and acceptable to represent the social vulnerability of the population in Ecuador.
Table 2. Ecuador final variable selection
Theme | Sub-theme | Variable |
---|---|---|
Population | Population structure | Female Population (%) |
Population | Population structure | population density (people/sqkm) |
Population | Vulnerable population | Total Population with a disability (%) |
Population | Population structure | Number of people per Household |
Population | Vulnerable population | Age Dependance (%) |
Population | Vulnerable population | Native Indigeneous Population (%) |
Population | Vulnerable population | Population with NO national I.D. (%) |
Population | Vulnerable population | Households paying rent (%) |
Infrastructure | Energy, water, and sanitation | Households with No Electric Energy Access (%) |
Infrastructure | Energy, water, and sanitation | NO Natural Gas public distribution |
Infrastructure | Energy, water, and sanitation | No Sewage system (%) |
Health | Healthcare status | Population with No HealthCARE (%) |
Economy | Labor market | Population working in the manufacturing Industry (15-64) (%) |
Economy | Income distribution and poverty | Poverty population by UBN (%) |
Economy | Labor market | Population working in the Commercial Industry (15-64) (%) |
Economy | Labor market | Population working in the Hotel/restaurant sector (15-64) (%) |
Education | Education outcome | Population with NO formal education (%) |
Social Vulnerability components
The spatial distribution of the social vulnerability in Ecuador explains the socio-economic conditions of the population at subnational level in the country. Figure 2 provides the social vulnerability overview of the subcomponents at the subnational parishes in the country; the spatial distribution of the sub-components shows high levels of social vulnerability in the population subcomponent (figure 2A) in the rural areas across the country mostly in the Andes and the Amazon regions. Limited access to education (figure 2B) and basic services i.e water and electricity under the infrastructure subcomponent (figure 2C) tend to be more present in urban areas reason why the Major cities like Quito, Guayaquil, and Ibarra remain in the low to moderate levels of social vulnerability. Likewise, the economy subcomponent (figure 2D) show high levels of social vulnerability in major urban areas i.e Guayaquil, Quito, this is due to the fact that urban areas are the economic hubs of the country and the majority of the population and their livelihoods are concentrated in major cities. Lastly, the health subcomponent shows high levels of social vulnerability in rural parishes in most cases away from major cities where the health assistance may not be permanent available.
Figure 2. Ecuador sub-components of social vulnerability
Integrated Risk
The spatial distribution of the integrated risk for Ecuador is obtained from combining the social vulnerability and the risk average annual losses indexes. High integrated risk can be understood as those subnational areas experiencing high seismicity, high physical earthquake risk, and high levels of social vulnerability. The social vulnerability index for Ecuador revealed that rural parishes experience the highest levels of social vulnerability (figure 3A); whereas, the major urban cities Quito, Guayaquil, Cuenca, Portoviejo, Esmeraldas remain at low to moderate social vulnerability. The integrated risk (figure 3C), however; marks major urban cities has high risk, this is due to the fact that the aforementioned cities and surrounding parishes are located in high seismic risk zones as seen in the physical risk results (Figure 3B). Major cities experience great losses and moderate levels of social vulnerability, resulting in high risk areas in the integrated risk model.
Figure 3. Ecuador integrated risk index