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News
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Влияние особенностей учета некоторых групп населения на показатели половозрастной структуры населения муниципальных образований России

Вопросы статистики. 2022. № 1. С. 28–43.
Mkrtchyan N. V.

The article evaluates the infuence of special populations (convicts sentenced to imprisonment, military and other numerical groups, statistical records of which are specifc) on indicators of sex and age structure of the population of urban and municipal districts of Russia.

The introductory part of the article considers the features of domestic demographic statistics in relation to the analyzed groups of the population, which emphasizes the relevance of the problem under consideration. Then, it describes the methodological foundations of the author's research. It is indicated that the analysis was carried out based on data from the 2010 All-Russia Population Census and information from territorial bodies of state statistics for 2019–2020 on the age and sex composition of the population, as well as data from open sources on the Internet.

In the main body of the article, the author argues that the peculiarities of accounting for the population groups under consideration most strongly distort the data on the age and sex structure of the population in the youngest age groups, and their infuence to the greatest extent afects the reliability of data on the population of municipalities with a small number of residents. In these municipalities, the share of special populations in the total population is the most signifcant and may exceed 10% of its total population (but even with a smaller share of the considered population group in the total population, the level of distortion of data by gender and age groups can be signifcant).

Thus, the calculations show the scale of distortions (in the intercensal period) in the age structure of the population of municipalities in the young and middle age due to the specifcs of accounting for the migration of these population groups.

Research target: Sociology (including Demography and Anthropology
Language: Russian
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Keywords: перепись населениямуниципальные районыстатистический учетдемографическая статистикаpopulation censusрегиональная статистикаmunicipal districts regional statisticsdemographic statisticsstatistical accountingspecial populationsindicators of the age and sex structure of the populationспецконтингентыпоказатели половозрастной структуры населения
Publication based on the results of:
Spatial measurement of demographic dynamics in Russia: long-term and short-term changes in the diversity of human reproduction regimes, migration and demographic structures of the population at the regional level (2022)
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