“…We will list the criteria that they must meet: indicators should evaluate the average level of innovation development for all areas of activity; the selected indicators should be applicable to all areas of activity, that is, be as versatile as possible, given the ubiquity of the use of innovations; the number of indicators should be minimal in order to minimize the influence of the subjective factor, which manifests itself, as a rule, in assigning weight coefficients and minimizing the effect of averaging, which inevitably manifests itself in using a large number of indicators; the indicators data should be presented in international statistical databases collected for most of the world' s countries in a relatively long period (about 10 years or more). Of the most significant works on assessing the relationship of the level of development of innovation and indicators of socio-economic development one can distinguish the following ones [3,8,10,11,13,14,20,21]. In the work of [30] the dependence of the level of development of innovations on GDP (gross domestic product) per capita and labor productivity was studied, where, according to the results of correlation and regression analysis, their direct dependence was found, although for an indicator of social efficiency (using the Gini coefficient as an example) dependence is defined as significant only for countries lagging behind in innovative development.…”