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Статистическое изучение уровня жизни населения

Authors: Ekaterina O. Aliokhina; FSBEI of HE \\"Siberian State Industrial University\\"; Svetlana A. Strekalova; FSBEI of HE \\"Siberian State Industrial University\\";

Статистическое изучение уровня жизни населения

Abstract

В данной работе рассматриваются различные статистические методы, которые используются для изучения и контроля уровня жизни населения. В статье представлены два основных показателя, которые берутся при рассмотрении уровня жизни, а именно развития человеческого потенциала (или ИРЧП) и различные вариации уровня доходов населения (реальные располагаемые доходы населения, среднедушевой денежный доход), а также такие важные показатели, как среднедушевой прожиточный минимум и общий уровень безработицы. В заключении представлена развернутая характеристика состояния экономики России на данном этапе, а также сравнительный анализ с предыдущем периодом (годом).

Keywords

спрос, предпринимательская деятельность, кризис, СМИ, индекс развития человеческого потенциала, продолжительность жизни населения, бюджет, инфляция, уровень грамотности населения, среднедушевой прожиточный минимум, уровень жизни населения, ЕГЭ, реальные располагаемые доходы, общий уровень безработицы, девальвация, среднедушевой денежный доход

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green