Subject. The article investigates the system of statistical indicators of agricultural labor resources, and considers three subjects of the Russian Federation with different agro-climatic conditions (the Republic of Buryatia, the Lipetsk Oblast and the Stavropol Territory).
Objectives. The aim is to develop the typology of peasant (farmer) households and agricultural organizations, according to the All-Russian Agricultural Census, and to obtain detailed characteristics of labor resources by selected type.
Methods. I employ the cluster analysis and the variance analysis. The depersonalized data of the All-Russian Agricultural Census of 2016 served as an information base of the study.
Results. The paper unveils a strong differentiation of peasant (farmer) households and agricultural organizations in terms of size, specialization, and production intensity. This indicates the need to develop their typology and to study labor resources by selected type. Based on the developed methodology, I identify three groups from each category of farms (small, medium and large) in the said subjects of the Russian Federation. Within the categories, there are significant differences in terms of the number of employees and supply of labor. In general, in regions with more favorable natural conditions, the proportion of full-time farm laborers is higher.
Conclusions. The findings can be used by federal, regional and local authorities for developing measures to increase employment in agriculture and rural areas.