30 November 2017
1694


 

This publication presents findings of a study on characterization and ranking of various geographical units in Israel by the population's socio-economic level in 2013. The analysis focused on two types of geographical units: local authorities, and for the first time, on localities within the regional councils.

The analysis of local authorities included 201 municipalities and local councils, and 54 regional councils. The data sources for 2013 were many: The Central Bureau of Statistics, the National Insurance Institute, the Ministry of Finance, the Ministry of Education, the Ministry of Transport and Road Safety, and the Population and Immigration Authority. The study was based on multivariate analysis of demographic, social, and economic characteristics of the population from these administrative sources. Factor analysis was conducted to derive an index that reflected the socio-economic level of the population residing in each local authority. Afterwards, the cluster analysis was carried out to classify the local authorities into homogeneous groups based on the population's socio-economic level.

The socio-economic index of 970 localities within the regional councils is based on the same data from administrative sources as the data used for the computation of the socio-economic index for the local authorities. An index value and classification to cluster, that are comparable to those of local authorities, were derived for each locality. In addition, this publication includes estimators of dispersion measures for the regional councils.

The Central Bureau of Statistics hopes that the characterization of geographical units presented in this publication will provide a basis for planning, administration, and research. The socio-economic index is a tool for comparing the levels of populations in geographical units, and can also be helpful in identifying prosperous and poor regions. In addition, the index can contribute toward improving government policies for local authorities.

We would like to thank all members of the Steering Committee, chaired by Prof. Momi Dahan, for their cooperation and assistance throughout the project.



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