Observations for :
The Agricultural Vulnerability Index to drought for this commune is :

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Vulnerability Atlas

In this maproom the Atlas on Drought Vulnerability for the Chilean agricultural sector and its rural population is presented.

This Vulnerability Assessment is part of Risk Determination according to the following scheme (Source: Summary for Policymakers - IPCC, 2014):

In the menu> Index value for', you can select a commune of interest.

A barplot will apear, showing the indicator values, normalized and systemized according to a positive functional relation with vulnerability (0= the least vulnerable; 1= the most vulnerable).

The vulnerability index is composed by 13 indicatores. In the menu 'Agricultural Vulnerability', the maproom of each individual indicator can be accessed.

The Drought Vulnerability Assessment for Chile, is developed in the framework of the project 'Supporting Effective Drought Risk Management in Vulnerable Catchments of Chile', a collaboration between the Sub Department of Information, Monitoring and Prevention of Integral Risk Management of the Ministry of Agriculture, the University of Birmingham and the Imperial College of London, financed by the British Council.


Birkmann, J., Cardona, O., Carre ño, M., Barbat, A., Pelling, M., Schneiderbauer, S., Kienberger, S., Keiler, M., Alexander, D., Zeil, P., 2013. Framing vulnerability, risk and societal responses: the MOVE framework. Nat. Hazards 67, 193-211.

Which methodology is used to calculate the Global Vulnerability Index?

The overall methodology of the Global Vulnerability Index is presented in the following flowchart.

The study area is set at commune level, to provide a high spatial resolution for decision making. However, some indicators are only available at regional or catchment level.

After the information is pre-processed, including resolution conversion, handling missing data, normalization of the indicators between [0-1], winsorization of the values of each indicator, among others.

In the fourth step, different weights are attributed to the indicators, according to the statistical method of Iyengar and Sudarshan, (1982).

To obtain the final values of the Vulnerability Index, the indicators are converted according to the beta probability distribution. To create the global vulnerability map, the communes are classified depending on to their percentiles, according to the following table:

As statistical support, a validation has been elaborated with data of FOSIS surveys about the 2007 drought, with communal data of agricultural emergency bonds in 2008 and with data of agricultural emergency bonds and mitigation investments of the drought impacts in the agricultural sector in the period of the mega drought (2008-2015).

Finally, two regional evaluation workshops have been organized, in the region of Coquimbo and Valparaiso, with local professionals, to verify and demonstrate the functionality of the vulnerability index and the maps of the individual indicators, and to make the necessary adjustments to reflect reality better, resulting in the final version of the vulnerability assessment.

Detailed information about the used methodology, can be consulted here.


Iyengar, N., Sudarshan, P., 1982. A method of classifying regions from multivariate data. Econ. Polit. Wkly. 2047-2052.


The Vulnerability Atlas can here be accessed.


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