scholarly journals NATURAL INCREASE AND AGE-SEX STRUCTURE OF UKRAINIAN RURAL POPULATION: REGIONAL TRENDS OF INTERACTIONS

2021 ◽  
pp. 19-29
Author(s):  
Chaika I.M.
Keyword(s):  
Natural Population ◽  
Age Structure ◽  
Rural Areas ◽  
Rural Population ◽  
Natural Increase ◽  
Age Group ◽  
Data Set ◽  
Female Population ◽  
Demographic Situation ◽  
Sex Structure

The demographic problems of rural areas are interrelated with economic, social, and even political issues. Therefore, given the relevance of the topic, the article analyzes the demographic situation in rural areas based on indicators of natural reproduction and age-sex structure of the population. It should be noted that data processing in smaller administrative entities creates advantages for monitoring positive or critical trends and reflects a more contrasting state of the demographic situation. The research article describes the differentiation of the natural population growth rate at the level of administrative raions. The map «Natural increase (decrease) rate of the Ukrainian rural population in 2018» is presented for its visual display. Characteristic interregional differences in age structure can be traced on compiled histograms. Correlation between birth rates, mortality rates, and population share in age categories: 0–15, 16–59, 60 years and older is calculated to assess the interactions of natural movement and age-sex structure. The comparison of the data of the mean and median age by regions was performed to analyze the age structure of the rural population. The balanced sex structure in settlements is both an important factor and a result of the demographic situation. Therefore, the shares of the male and female population for each age group and in all regions of Ukraine are calculated in the process of performing the practical part of the research (as of 2018). Assessment of territorial differences in the demographic burden is of great social importance. The result of the analysis of the population data set in each age group showed that the greatest demographic load exists in Chernihivska, Khmelnytska, Sumska, Vinnytska, Kyivska, Poltavska, Luhanska, Cherkaska, and Zhytomyrska regions. The obtained results of the analysis of the above-mentioned demographic parameters are summarized in the conclusions. Based on them, areas with a critical demographic situation in rural areas have been identified.Key words: rural population, age-sex structure, depopulation, natural population movement. Демографічні проблеми сільської місцевості взаємопов’язані з економічною, соціальною та навіть політичною проблематикою. Тому, з огляду на актуальність теми, у статті здійснено аналіз демографічної ситуації у сільській місцевості на основі показників природного відтворення та статево-вікової структури населення. Варто зазначити, що опрацювання даних на територіально менших адміністративних утвореннях створює переваги для моніторингу позитивних чи критич-них тенденцій та відображає більш контрастний стан демографічної ситуації. У дослідженні описано диференціацію коефіцієнта природного приросту населення на рівні адміністративних районів, а для її наочного відображення представлено картосхему «Природний приріст (скорочення) сільського населення України, 2018 р.». Характерні міжрегіональні відмінності вікової структури можна простежити на складених гістограмах. Для оцінки взаємовпливів природного руху та статево-вікової структури розраховано кореляцію між коефіцієнтами народжуваності, смертності та часткою населення у вікових категоріях: 0–15, 16–59, 60 років і старше. Також з метою аналізу вікової структури сільського населення виконано порівняння даних середнього та медіанного віку за областями. Збалансоване статеве співвідношення є водночас вагомим чинником і результатом демографічної ситуації. Тому в процесі виконання практичної частини дослідження розраховано частки чоловічого та жіночого населення для кожної вікової групи та у всіх районах України (ста-ном на 2018 рік). Важливе соціальне значення має оцінка територіальних відмінностей демографічного навантаження. Результат аналізу масиву даних чисельності населення у кожній віковій групі показав, що найбільше демографічне навантеження існує у Чернігівській, Хмельницькій, Сумській, Вінницькій, Київській, Полтавській, Луганській, Черкаській та Житомирській областях. Отримані результати вищезгаданих демографічних параметрів підсумовано у висновках. На їх основі виділено території із критичною демографічною ситуацією у сільській місцевості.Ключові слова: сільське населення, статево-вікова структура, депопуляція, природний рух населення.

scholarly journals Analysis of the demographic situation in Gomel region (2008–2019)

2020 ◽  
pp. 114-121
Author(s):  
A. M. Ostrovsky ◽  
I. N. Koliada ◽  
T. M. Sharshakova
Keyword(s):  
Mortality Rate ◽  
Rural Population ◽  
Negative Impact ◽  
Natural Increase ◽  
Annual Reports ◽  
Demographic Situation ◽  
Sex Structure ◽  
Demographic Indicators ◽  
Significant Negative Impact ◽  
The Republic

Objective: to analyze the medical and demographic indicators in Gomel Region between 2008 to 2019 in dynamics.Material and methods. The source of initial information was the materials of the annual reports of the National Statistical Committee of the Republic of Belarus for the period from 2008 to 2019. The calculation and assessment of the demographic indicators were made according to the generally accepted method. The 95 % probability of differences (α = 0.05) was considered to be statistically significant.Results. The performed analysis has showed that an unfavorable demographic situation still persists in Gomel Region. Thus, the average population in 2019 decreased by 5.8 thousand people compared to 2008 and made up 1409.9 thousand people. The number of urban dwellers in the region made up 1095.4 thousand people and increased by 0.5 thousand people, the rural population decreased by 6.3 thousand people and made up 315.5 thousand people. The share of the rural population in the total population of the region is currently 23.3 %. On the whole, there is a negative natural increase. The natural decline remains stable and long-term, and in the year of 2019 it was — 3.8 ‰. The general mortality rate increased by 3.8 %, and the birth rate decreased by 4.9% compared to the previous year. The mortality rate among the working-age population remains high. The study has found the stabilization and even a decrease of child and infant mortalities over the past years.Conclusion. The analysis of the demographic processes in Gomel Region between 2008 and 2019 indicates their direct and significant negative impact on the population size and its age and sex structure. This tendency is not temporary, as it is associated with the current historical process. The number of residents in the region is constantly decreasing, which is mainly related to the stable natural decline. Taking into account the current demographic crisis not only in Gomel Region but also in other regions of the Republic of Belarus, health promotion and enhancement among the population should be the most important priorities of the state policy.

scholarly journals Alternative scenarios of the demographic development of rural Russia: analysis and forecast

2021 ◽  
Vol 27 (108) ◽  
pp. 11-32
Author(s):  
Tatiana Viktorovna-Blinova ◽  
◽  
Svetlana Gennadievna-Bylina ◽  
Keyword(s):  
Age Structure ◽  
Rural Areas ◽  
Rural Population ◽  
Birth Rate ◽  
Population Decline ◽  
Demographic Development ◽  
Demographic Situation ◽  
Size And Age Structure ◽  
Alternative Scenarios ◽  
The Impact

The purpose of the study is to discuss the alternative scenarios of the demographic development of rural Russia. The Covid-19 coronavirus pandemic has changed the demographic situation in Russia: mortality and natural population decline increased, while the birth rate decreased. Ba-sed on the cohort-component method, we projected the rural population size and age structure for the period 2024-2049. Six alternative scenarios were developed: three with zero migration (without taking into account the impact of migration changes on the rural population) and three with migration. Therefore, the migration outflow coefficient was included in the three forecasting scenarios. However, the inflow of some urban population to the countryside is not ruled out. The results show that the population of rural Russia will decrease from 37.3 million (2019) to 29.6–33.1 million people (2049). The age structure of the population will change, the demogra-phic aging of rural areas will continue.

scholarly journals Demographic potential of sex-age structure as a factor of population dynamics

2019 ◽  
Vol 15 (6) ◽  
pp. 69-79
Author(s):  
Vladimir N. Arkhangelskiy ◽  
Yuliya V. Zinkina ◽  
Sergey G. Shulgin
Keyword(s):  
Population Structure ◽  
Population Growth ◽  
Natural Population ◽  
Age Structure ◽  
Natural Increase ◽  
Female Population ◽  
Retrospective Assessment ◽  
Demographic Dynamics ◽  
Demographic Potential ◽  
Age Population Structure

The study aims to assess the sex-age population structure in terms of its impact on the up-coming dynamics of natural increase and, consequently, on the general change in the population size. There are various approaches to assessing this influence, proposed and used by scientists who have studied this aspect of demographic dynamics. This article discusses a relatively simple indica-tor of the sex-age population structure, which allows estimating its future influence on the ratio of births to deaths, and on the natural population growth. The indicator proposed is the so-called demographic potential of the sex-age structure, which is the ratio of female population aged 10–39 to the population of both sexes aged 65 years and older. The number of births in the next 10–15 years largely depends on the size of the first one, while the number of deaths in this period depends on the size of the second one.Before using the demographic potential of the sex-age structure to forecast the dynamics of natural population growth, a retrospective assessment of the relation of this potential with subse-quent natural population growth should be carried out for some particular time point in the past. We chose the sex-age structure of the mid-2000s and the natural increase (per 1000 population) in 2000–2015 for such assessment, accounting for 201 countries. The high value of the correlation coefficient (0.815) indicates that the current sex-age structure and its demographic potential can be used (with varying degrees of conditionality, of course) to forecast the future dynamics of natural growth. In turn, the size of the demographic potential of the sex-age structure of the population depends on the preceding levels of fertility and mortality.An assessment of the demographic potential of the sex-age population structure in mid-2015 for 201 countries of the world showed that in a number of countries in Asia and Africa the value of this potential exceeds 10, so significant natural population growth is highly probable there in the next 10–15 years. Meanwhile, in a number of European countries the value of this potential is less than 1 (i.e., the population aged 65 years and older is larger than the female population aged 10–39 years), which is likely to result in a very small natural increase (in case of a favorable mode of pop-ulation reproduction) or even a natural decline.

scholarly journals PREVALENCE AND COMPARATIVE STUDY OF MALNOURISHED CHILD BELOW 5 YEARS OF RURAL AND URBAN AREAS OF BIHAR

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Rajiv Kumar Jha ◽  
Sanjay Kumar
Keyword(s):  
Nutritional Status ◽  
Breast Feeding ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Areas ◽  
Feeding Practices ◽  
Bottle Feeding ◽  
Age Group ◽  
Rural And Urban Areas ◽  
Rural And Urban

Status of nutrition reflects the status of health of a country. Infant and young child feeding practices are multidimensional and age specific. Inappropriate feeding practices and their consequences are major obstacles to sustainable socioeconomic development and poverty reduction. This study was a step to sort out various prevailing feeding practices and awareness status of the family of child in rural and urban areas of Bihar state among the age group of below 5 Years and their outcome. This study was a hospital based descriptive study carried out in PMCH (OPD and Indoor) Patna Bihar. Total number of participants in our study is 180 in the age group 0-5 years which was further divided into 3 groups according to their age each group (0-6, 6-24, and24-60months), had 60 participants. These groups were further equally divided on the basis of location rural and urban; these Subgroups were further divided into 2 equal subgroups according to sex. In this study variety of food given is 63% and 50% in urban and rural population respectively. It is revealed that population getting variety of food has significantly better outcome in nutritional status rather than population not getting it. This study has revealed that population getting nearly proper consistency and calories are only 53% and 41% in urban and rural areas respectively. Population getting nearly proper consistency and calories has significantly better outcome in nutritional status rather than population not getting it. Prevalent mode of feeding in children below 6 months in non exclusive BREAST feeding is bottle feeding in rural and urban areas. 42% and 50% of urban and rural population BOTTLE feed their children above 6 months respectively bottle feeding significantly affect the outcome i.e. the poor nutritional status as compared to the KATORI spoon feeding. Keywords: Healthy food, varieties of nutritional food intake, Breast feeding practices.

scholarly journals Rural Population Dynamics in the Russian Extreme North IN 1989–2019: A Case OF SAKHA Republic (Yakutia)

2020 ◽  
Vol 13 (4) ◽  
pp. 65-71
Author(s):  
Tamara V. Litvinenko ◽  
Kazuhiro Kumo ◽  
Antonina N. Savvinova ◽  
Viktoriia V. Filippova
Keyword(s):  
Population Dynamics ◽  
Indigenous People ◽  
Rural Areas ◽  
Rural Population ◽  
Natural Increase ◽  
Economic Activities ◽  
Geographical Differences ◽  
Transport Accessibility ◽  
Population Decrease ◽  
Extreme North

In this study, the specific characteristics of Yakutia’s rural population dynamics in 1989-2019 in comparison with other Extreme North regions are identified along with geographical differences in the population dynamics of the republic’s rural districts. The research results are based on the analysis of the official statistical data and field trip observations in rural areas of Yakutia. Sakha has witnessed a relatively small decline in total rural population compared to other regions, which can be explained by the high proportion of the indigenous population that has a historical preference for living in rural areas and higher birth rates as well as by the regional rural support measures. Despite the common overall trend in the rural population dynamics, significant intraregional differences have been identified. In the regions characterized by more central location and a larger share of the indigenous people, the population growth due to migration and the natural increase was observed, while in more remote northern locations with poor transport accessibility to the region’s centre population decreased due to migration outflow. A shift in rural population took place in the districts of Central Yakutia, historical settlement area of Yakuts, who are engaged in livestock and horse breeding, which are the traditional types of economic activities for this territory. The largest population decrease due to migration outflow was observed in Momsky and Zhigansky ulus, which are characterized by their northern location, poor transport accessibility and a smaller share of indigenous people.

scholarly journals Distribution by sex and age of patients with monogenic pathology and gender and age structure of urban and rural populations of North Ossetia

2020 ◽  
pp. 54-59
Author(s):  
Г.И. Ельчинова ◽  
З.К. Гетоева ◽  
М.Ю. Джаджиева ◽  
В.В. Кадышев ◽  
Н.В. Балинова ◽  
...  
Keyword(s):  
Age Structure ◽  
Rural Areas ◽  
Rural Population ◽  
Urban Population ◽  
Age Groups ◽  
Epidemiological Survey ◽  
Age Cohorts ◽  
Gender And Age ◽  
Stationary Type ◽  
North Ossetia

Влияние популяционно-генетической структуры на распространенность моногенной наследственной патологии неоднократно подтверждалось как отечественными, так и зарубежными исследователями. Целью данного исследования является изучение половозрастной структуры населения Северной Осетии-Алании в рамках комплексного генетико-эпидемиологического обследования населения и сравнение с полученными данными распределения половозрастных характеристик пациентов с наследственной патологией. На основании статистических данных на 1 января 2018 года стандартным образом проанализирована половозрастная структура населения Северной Осетии, 1054 пациента с подтвержденным диагнозом и типом наследования выявлены в 4 районах: Ардонском, Алагирском, Правобережном, Кировском. Составлены половозрастные пирамиды для городского и сельского населения Северной Осетии, имеющие форму колокола, между которыми не выявлено существенных различий. Наблюдается некоторое увеличение рождаемости в городском населении, связанное с оттоком молодежи в города из сельской местности. Дорепродуктивная часть не превышает четверти населения. Наблюдается преобладание женщин в старших возрастных группах. Соотношение мужчин и женщин 1:1,19 в городском населении, 1:1,11 - в сельском, в разных возрастных когортах это соотношение различно. Коэффициент старения 17,2%. Коэффициент демографической нагрузки 39,4%. Доля детей и лиц старшего возраста практически совпадает. Половозрастная структура Северной Осетии характеризуется стационарным типом и старым населением с практически простым характером воспроизводства. Среди пациентов с наследственной патологией наблюдаются иные характеристики половозрастной структуры, во всех возрастных когортах численность мужчин превышает численность женщин. The influence of population-genetic structure on the prevalence of monogenic and multifactorial pathology is no longer in doubt. The purpose of this study is to study the gender and age structure of the population of North Ossetia-Alania in the framework of a comprehensive genetic and epidemiological survey of the population and comparison with the obtained data of distribution of gender and age characteristics of patients with hereditary pathology. On the basis of statistical data as of January 1, 2018, the gender and age structure of North Ossetia population is analyzed by a standard method, 1054 patients with confirmed diagnosis and type of inheritance were identified in 4 districts: Ardonsky, Alagirsky, Pravoberezhny, Kirovsky. Gender and age pyramids for the urban and rural population of North Ossetia, having the form of a bell, between which no significant differences were revealed, were compiled. There has been a slight increase in fertility in the urban population, due to the outflow of young people to the cities from rural areas. The reproductive part does not exceed a quarter of the population. There is a predominance of women in older age groups. The ratio of males to females is 1:1.19 in the urban population, 1:1.11 in the rural population, the ratio is different in different age cohorts. Aging rate 17.2%. The demographic burden ratio is 39.4%. The proportion of children and older persons is almost the same. It is shown that the gender-age structure of North Ossetia is characterized by a stationary type and an old population with a practically simple reproduction character. Among patients with hereditary pathology, other characteristics of the gender and age structure are observed. in all age cohorts, the number of men exceeds the number of women.

scholarly journals The dynamics of sex-age structure of the population in urban and rural areas in the Republic of Kazakhstan in the years 1991-2013

2016 ◽  
Vol 31 (31) ◽  
pp. 87-111 ◽  
Author(s):  
Gulnara Nyussupova ◽  
Aisulu Kalimurzina
Keyword(s):  
Age Structure ◽  
Rural Areas ◽  
Rural Population ◽  
Total Population ◽  
Statistical Data ◽  
Economic Status ◽  
Age Groups ◽  
Working Age ◽  
The Republic ◽  
Urban And Rural Areas

Abstract In this article we discuss and analyse changes in the sex-age structure of both the urban and the rural population of the Republic of Kazakhstan since independence (1991) and until 2013. Spatial analysis by age and sex was carried out for the urban and rural population of the Republic of Kazakhstan. The article focuses on the population of Astana and Almaty as cities of “republican subordination”. The aim of this article is to study and analyse the sex-age structure of the total population taking the urban and rural population from 1991 to 2013 separately. For comparison and analysis of statistical data in the dynamics, the data by sex and age of the urban and rural population for 1991, 2001 and 2011 were examined. Thus changes over 10 years are considered. The age groups for which the data were collected were based on differentiation of the population by economic status: pre-working (0-14 years), working (15-64), and post-working age (over 65 years).

scholarly journals The Economic Situation of the Southern Cities of Uzbekistan at the Beginning of the Twentieth Century and the Migration Processes

2020 ◽  
Vol 6 (2) ◽  
pp. 321-324
Author(s):  
M. Turopova
Keyword(s):  
Twentieth Century ◽  
Population Growth ◽  
Natural Population ◽  
Rural Population ◽  
Economic Situation ◽  
Demographic Situation ◽  
Scientific Analysis ◽  
History Of ◽  
History Of Migration

This article analyzes the demographic situation in the southern regions of Uzbekistan in the early XX century, the history of migration processes, the sources and factors of natural population growth. There is also a scientific analysis of the territorial location, national composition, lifestyle of the rural population.

scholarly journals Prevalence of coronary artery disease in the indigenous population of Gornaya Shoria (the results of epidemiological studies in 1998-2001 and 2013-2017)

2020 ◽  
Vol 8 (4S) ◽  
pp. 15-21 ◽  
Author(s):  
E. V. Mihalina ◽  
T. A. Mulerova ◽  
O. M. Polikutina ◽  
M. Yu. Ogarkov
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Rural Areas ◽  
Rural Population ◽  
Indigenous Population ◽  
Statistical Significance ◽  
Age Groups ◽  
Epidemiological Studies ◽  
Female Population ◽  
Artery Disease

Aim. To study the features of the prevalence of coronary heart disease (CHD) in the period 1998–2001 and 2013–2017 in the indigenous population of Gornaya Shoria.Methods. In the first period of the study (from 1998 to 2001), 550 respondents of indigenous nationality living in rural areas of Gornaya Shoria (v. Orton and v. Ust-Kabyrza) were included. In the second period (from 2013 to 2017) – 937 people in the same villages, as well as in the urban village Sheregesh and city Tashtagol. The presence of coronary artery disease was estimated by the sum of three epidemiological criteria: based on the analysis of ECG by Minnesota code, Rose questionnaire and a history of myocardial infarction. Statistical analysis was performed using the program Statistica 6.0 (StatSoft Inc., USA.) Qualitative features were described using frequencies as a percentage. To determine the statistical significance of these differences, Pearson's criterion c2 was evaluated. In the study, the critical level of significance when testing statistical hypotheses was taken p<0.05.Results. The frequency of CHD in the first stage of the study in the village was 6.2%, in the survey of the rural population in the Gornaya Shoria in 2013–2017 this figure was 8.0%. Comparative analysis at the second stage of the study showed a higher prevalence of this disease among urban residents (12.6%) compared with rural (8.0%, p = 0.048). These differences reach statistical significance due to the female population in the age groups of 40–49 years and 50–59 years (7.1% vs. 0% (p = 0.051) and 15.4% vs. 4.1% (p = 0.031)). In males living in the city, revealed an earlier debut of CHD in 40–49 years (5.6%).Conclusion. The study revealed an increase in the prevalence of CHD in women in the indigenous small population of Gornaya Shoria from 1998–2001 to 2013–2017, as well as a number of significant statistically significant differences in the frequency of CHD among the urban and rural population.

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