Chile: Social vulnerability and integrated risk
Data overview
The social vulnerability indicators for Chile are spread over the themes of population, economy, infrastructure, education,and health. The dataset of Chile is composed of 68 indicators at level P3 of subnational geographic organization given in 344 subdivisions distributed into parishes known in Chile as comunas. 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 Chile divided in the respective themes and subthemes.
Table 1. Chile variables of social vulnerability
Theme | Sub-theme | Variable |
---|---|---|
Population | Vulnerable Population | Homeless Population |
Population | Vulnerable Population | Female Population |
Population | Vulnerable Population | Native Indigeneous Population |
Population | Vulnerable Population | Population Age 0 - 10 |
Population | Vulnerable Population | Population Age 0 - 17 |
Population | Vulnerable Population | Women Head of Household |
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 |
Population | Vulnerable Population | Age dependance |
Population | Vulnerable Population | Population not in the labor force (Age 0-15 and 65+) |
Population | Population Structure | Population |
Population | Population Structure | Male Population |
Population | Population Structure | Population Density |
Population | Population Structure | Number of Households |
Population | Population Structure | In Family Household |
Population | Population Structure | Householder - Living Alone |
Population | Population Structure | Urban Dwelling |
Population | Population Structure | Rural Dwelling |
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 - Drift Water |
Population | Population Structure | Dwelling Type - Hut |
Population | Population Structure | Multi residential building, hotels, hospitals |
Population | Population Structure | Household - property owned fully paid |
Population | Population Structure | Household - Property owned but paying mortgage |
Population | Population Structure | Number of people per Household |
Infrastructure | Transport and Communication | Mobile cellular subscriptions |
Infrastructure | Transport and Communication | In Household Computer |
Infrastructure | Transport and Communication | household with Computer and Internet |
Infrastructure | Transport and Communication | Telephone lines |
Infrastructure | Transport and Communication | Househols wth NO Vehicle Automotor |
Infrastructure | Energy, Water and Sanitation | Households with access to improved water source |
Infrastructure | Energy, Water and Sanitation | Households with access to Electric Energy Public distribution |
Infrastructure | Energy, Water and Sanitation | Households Electric Energy provided by Own Generator |
Infrastructure | Energy, Water and Sanitation | Households with No Electric Energy Access |
Infrastructure | Energy, Water and Sanitation | Sewage System Inhouse |
Infrastructure | Energy, Water and Sanitation | Sewage System Outdoors |
Infrastructure | Energy, Water and Sanitation | No Sewage system |
Health | Healthcare status | Population registered to national healthcare |
Health | Healthcare status | Population registered to ISAPRE private healthcare Chile |
Health | Healthcare status | Population with no healthcare |
Health | Healthcare resources | Annual Income - Public Health Service |
Health | Healthcare resources | Annual Income provided by Min Salud |
Health | Healthcare resources | Helthcare budget available per inhabitant |
Health | Healthcare resources | Distance to the nearest healtcare center |
Education | Education Outcome | Population Knows how to Read and Write |
Education | Education Outcome | Education Level Completed (Primary and Secondary) |
Education | Education Outcome | Education Level Completed (Superior, Technical, University) |
Education | Education Outcome | Population with NO formal education |
Education | Education Outcome | Population that does not read and Write (15+ years) |
Economy | Labour Market | Labor Force Age 15-64 |
Economy | Labour Market | Agricultural Labor Force |
Economy | Labour Market | Fisheries Labor Force |
Economy | Labour Market | Population working on primary sector of economy |
Economy | Labour Market | Population working on Secondary sector of economy |
Economy | Labour Market | Population working on terciary sector of economy |
Economy | Labour Market | Unemployment Rate (Including homemakers) |
Economy | Labour Market | Unemployment Rate |
Economy | Labour Market | Population employed in the Hotels/Restaurant sector |
Economy | Labour Market | Population employeed in the Commercial Industry (15-64) |
Economy | Labour Market | Labor force employed in all sectors of the economy |
Economy | Income distribution and Poverty | GINI index |
Economy | Income distribution and Poverty | Poverty population but not homeless 2009 |
Economy | Income distribution and Poverty | Total population in poverty |
Economy | Economic Activity | Average GDP per capita |
The entire 68 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 Chile.
Table 2. Chile final variable selection
Theme | Sub-theme | Variable |
---|---|---|
Population | Population structure | Total Female population (%) |
Population | Population structure | Number of people per Household |
Population | Population structure | population density (people/sqkm) |
Population | Vulnerable population | Native Indigeneous Population (%) |
Population | Vulnerable population | HouseholdPaying monthly rent (%) |
Population | Vulnerable population | Women Head of Household (%) |
Population | Vulnerable population | Total Population with a disability (%) |
Population | Vulnerable population | Age Dependance (%) |
Population | Vulnerable population | Homeless Population 2009 (%) |
Education | Education outcome | Population with NO formal education (%) |
Infrastructure | Energy, water, and sanitation | Households with NO access to improved water source (%) |
Infrastructure | Energy, water, and sanitation | Households with No Electric Energy Access (%) |
Economy | Labor market | Population working in the Hotel/restaurant sector (15-64) (%) |
Economy | Income distribution and poverty | GINI coefficient |
Economy | Labor market | Unemployment Rate |
Economy | Income distribution and poverty | Total population in poverty (%) |
Economy | Labor market | Population working in the Commercial Industry (15-64) (%) |
Health | Healthcare resources | Distance to the nearest healthcare center (km) |
Health | Healthcare status | Population with no healthcare (%) |
Social Vulnerability components
The spatial distribution of the social vulnerability in Chile explains the socio-economic conditions of the population at subnational level in the country. The following figures provide the social vulnerability subcomponents at the subnational parishes in the country. The spatial of the sub-component population (figure 2A) shows high levels of social vulnerability in the parishes around Iquique in the north, and Concepcion, and Temuco in the mid part of the parishes below the metropolitan area of Santiago. Variables such as population density, age dependence, native indigenous population, and women head of household score high on social vulnerability at those parishes. Likewise, the education and health components (figure 2B-C) show high levels of social vulnerability at the aforementioned parishes, indicating that these parishes concentrate a great amount of population with no formal education and with limited access to healthcare and hence high rates of social vulnerability.
Figure 2. Chile components of social vulnerability
Integrated Risk
The integrated risk for Chile 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. Chile’s social vulnerability index resulted in moderate to high levels of social vulnerability at the subnational parishes surrounding Iquique, Concepcion, and Temuco (Figure 3A). The integrated risk index marks the aforementioned subdivisions as high risk, but also parishes marking major urban areas like Santiago, Valparaíso, y Antofagasta are under high risk as they are located in the high seismic risk zones (Figure 3B). Major cities across chile play an important role as economic and population hubs, especially if located in high risk seismicity zones, and giving high levels of risk under the integrated risk spatial distribution (figure 3C) an earthquake would bring devastating impacts to the economy and the well being of the population and their livelihoods.
Figure 3. Chile integrated risk