People in their lives are divided into different social groups that cooperate with each other; all people are involved in many social groups at one time that may depend and mutually cooperate. The article shows how regional development centres Talsi and Cesis cooperate with other society groups in their territory to develop a smart public administration. The cooperation level was determined by a survey that was provided to the municipality workers, NGO members, and employees in higher education institutions, companies and mass media. The results show that the cooperation is above average, though a lot of work should be done to provide smart public administration in territories. Both municipalities are similar in their size, municipality structure and used cooperation approaches, therefore it is essential to learn from each other to receive greater loyalty from residents and improve cooperation that is significant for smart administration.

Recent developments in politics and economy has created additional challenges for medical institutions with lack of medical personnel, transportation from rural areas to medical institutions. Very often, there is a difference between medical services in urban and rural areas. In research is often mentioned that male and female persons have different evaluations on their health situation. The aim of the paper is to prepare research based recommendations for possible steps for public administrators to support availability of medical services in urban and rural areas. Tasks of the current research: analysis of theoretical findings reflected in scientific publications and discussion of research results, analysis of tendencies of self-perceived health status of population in Latvia, analysis on possible differences between gender as in scientific publications is often mentioned that female and male persons have different evaluations, analysis of health self-evaluations between inhabitants in rural and urban territories and possible differences in evaluations for persons with different employment status. Representative data from EUSILC, different statistical analysis methods and statistical indicators are used: indicators of descriptive statistics, crosstabulations, testing of statistical hypotheses with t-test and analysis of variance – ANOVA, chi-square test, as well as correlation analysis. Research results confirm that self-perceived health status in Latvia are higher in rural areas and higher health self-esteem evaluations were made by female persons.