This publication presents findings of a study on characterization and ranking of various geographical units in Israel by the socio-economic level of the population in 2017. The analysis focused on three types of geographical units: local authorities, localities within the regional councils, and statistical areas within the municipalities and local councils.
The analysis of local authorities included 201 municipalities and local councils, and 54 regional councils. The data sources for 2017 were numerous: The Central Bureau of Statistics, the National Insurance Institute, the Ministry of Finance, the Ministry of Defense, 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 calculated from these administrative sources for the population residing in the geographical units. Factor analysis was conducted to derive an index (continuous value) that reflected the socio-economic level of the population. Afterwards, the cluster analysis was carried out to classify the local authorities into 10 homogeneous groups based on the socio-economic index of their population.
The socio-economic index for 990 localities within the regional councils and for 1,629 statistical areas within 81 municipalities and local councils was 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 and for each statistical area. In addition, this publication includes dispersion measures for the local authorities.
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.