The paper present results obtained from analysis of data about nonfinancial assets owned by or at the disposal of Russian households. The study was based on data from Integrated Monitoring of Living Con ditions of the Russian Population (Rosstat, 2011), representing the general population and federal districts. Taking into account the content of the database, the nonfinancial wealth of households included the follow ing assets: primary residence and other residential property, cars and other vehicles, garage, land plots, and business ownership or equity. The main asset of families in Russia is their housing (which on average is owned by 86% households in the country); the next most common asset is land (in ownership or use, 49% house holds); the third leading assets is cars (owned by 37% of households). Each asset was assigned points account ing for its characteristics, which enabled us to integrally assess the property assets held by each household and to identify six layers characterized by their holdings of nonfinancial assets. The layers are arranged from the group with the least wealth to the group with the largest: the lowest layer (13.6% of households), base layers with holdings lower (30.3%) and higher (28.1%) than the average, and the layer with moderately high (16.2%) and the highest (5.8% of all households) holdings of nonfinancial assets; there was also a separate stratum of households with no assets (6.1%). The structure of owners with regard to each asset and the comprehensive (point based) estimate of wealth of households are analyzed in the context of federal districts and settlements with different numbers of residents (less than 1000 people, 1000-50000, 50000-100000, 100000-500000, 500000-1000000, and more than 1 mln people). Differences in wealth are more closely related to the settlement characteristics of the place of residence than with regional ones. However, although the characteristics of the place of residence substan tially increase the likelihood of a particular level of nonfinancial wealth for a household, their contribution is much less significant than the contribution of characteristics reflecting the efforts of household members to accumulate wealth and family stability.
⎯This article considers the "Comprehensive monitoring of living conditions" of the Russian population to determine the level of mobility of residents in different regions of the country. The subject matter of the study is the tourist mobility of Russians. A system of equations from the binomial logistic regression model revealed that the probability of a Russian citizen taking a travel tour is mostly influenced by personal factors, such as economic status and physical condition. The impact of transport infrastructure characteristics is absorbed by the income characteristics of individuals; i.e., regional differences in standard of living correlate with the density of the transport infrastructure. Spatial mobility for tourism purposes was found to be associated to a greater degree with land transport infrastructure rather than with air service. Differentiation of Russians with respect to the parameters of spatial mobility of travel actually reproduces economic inequality, while the density of the transport infrastructure, which differs from region to region, tends not to mitigate the impact of economic resources on spatial movement.
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