Abstract: The study presents a matrix of pairwise correlations for 26 regions of the Central and North-West Federal Districts of Russia between ten scientific-innovation and macroeconomic indicators comprising a number of objects of the innovation infrastructure according to two databases, a number of universities, university potential which had been calculated based on webometric rankings of universities, a number of scopus-publications in universities of the regions during the year 2015 and in general, the gross regional product, a number of population, the gross regional product per capita, population density. In all cases there were obtained high values of pearson’s correlation coefficient. It has been concluded that a high level of scientific-innovation development of regions is based on a high degree of social-economic development of their urbanized territories that is the gross regional product and a number of population, rather than the reverse.