scholarly journals The Female Population Growth Projection Year 2021 in Trenggalek Regency by Leslie Matrix Model on the Birth Rate and Life Expectancy

2017 ◽  
Vol 6 (2) ◽  
pp. 37
Author(s):  
Dewi Anggreini
Keyword(s):  
Life Expectancy ◽  
Population Growth ◽  
Matrix Model ◽  
Discrete Model ◽  
Birth Rate ◽  
Age Distribution ◽  
Research Data ◽  
Leslie Matrix ◽  
Female Population ◽  
Leslie Matrix Model

<p>This research aims to determine the number of female residents in Trenggalek Regency in 2021 based on data on birth rate and life expectancy. The use of eigenvalues and eigenvectors aims to determine the dividing age distribution by Leslie matrix model. The eigenvectors are used to determine the number of female populations of each age interval, while the eigenvalues are used to determine population growth rates. The research method used is to determine the subject of research. The next stage is to collect research data, then analyze the data and last draw conclusions. The research data is obtained from BPS Kabupaten Trenggalek and BPS East Java Province that is data of woman population from year 2010-2015. The result of this research using Leslie matrix model for female population in Trenggalek Regency that is discrete model. The discrete model is divided into fourteen age intervals constructed using the birthrate and life expectancy. The conclusions of the study showed that the number of female population in Trenggalek Regency tended to increase with positive eigen value greater than one. In other words, the growth rate of female population in Trenggalek Regency tends to be positive. The success of Leslie's matrix model is the application of case studies in predicting the number of female populations in Trenggalek District by 2021 using the MAPLE 16 Program.</p>

scholarly journals Leslie Matrix Application in Determining Number and Growth Rate of Female Population

2017 ◽  
Vol 1 ◽  
pp. 165-170
Author(s):  
Dewi Anggreini ◽  
Ratri Candra Hastari
Keyword(s):  
Growth Rate ◽  
Life Expectancy ◽  
Population Growth ◽  
Matrix Model ◽  
Discrete Model ◽  
Growth Models ◽  
Current Data ◽  
Population Projections ◽  
Leslie Matrix ◽  
Female Population

Population projections are needed to meet current data requirements and estimate future population numbers. The compilation of population growth models besides being based on continuous solutions needs to be evaluated more deeply with discrete solutions. Leslie's matrix model is a discrete model that projects the age group. Mathematical approach is very important used in Leslie matrix model that is follow matrix method. This study aimed to determine the number of female population in the Karesidenan Kediri Existence based on birth rate and life expectancy using Leslie Matrix and determine the growth rate of female population by using Leslie matrix eigenvalues value. The research method first determine the subject of research, second collect research data, data analysis and last draw conclusions. The data of this study were obtained from BPS of East Java Province, namely the number of female population from 2010-2015. The results of this study indicate that Leslie's matrix model is a discrete model because the data on the number of female population in the Eks-Karesidenan Kediri divided into fourteen age intervals constructed using fertility and life expectancy. From the result analysis using Maple program, the number of female population in Eks Karesidenan Kediri tends to increase with positive eigenvalue greater than one or in other words the rate of population growth tends to be positive. The success of Leslie's matrix model is in its application to predict the number of female populations in Karesidenan Kediri in 2021.

Medical and demographic indicators of the Orenburg Region

2021 ◽  
pp. 65-71
Author(s):  
Lyubov Kuzminichna Grigorieva ◽  
Sergey Aleksandrovich Kuzmin
Keyword(s):  
Life Expectancy ◽  
Population Growth ◽  
Death Rate ◽  
Birth Rate ◽  
Population Decline ◽  
Female Population ◽  
Orenburg Region ◽  
Managerial Decisions ◽  
Demographic Indicators ◽  
Gradual Process

The analysis of the medical and demographic indicators of the Orenburg Region from 2015 to 2019 showed that over this time period, there was a gradual process of population decline. The dynamics of the birth and death rates of the population was characterized by a stable decline. Over a five-year period, the birth rate decreased by 30.78 %, and the death rate by 8.8 %. The natural population growth in 2015 was positive, and since 2016, there has been a negative population growth, i.e. the number of citizens who died annually exceeded the number of births. The region has seen slight changes in the ratio of urban and rural residents. Life expectancy has increased for both sexes from 69.63 years in 2015 to 72.04 years in 2019. The growth of this indicator for men was 4.31 %, and for women — 2.43 %. Studies of the sex composition of the population of the Orenburg Region over the past five years have demonstrated that there have been minor changes in the ratio of the male and female population in the region under study. So, in 2015 and 2016, there were 1149 women per 1000 men; in 2017–1148, in 2018–1147, in 2019–1146. Over the studied period, the number of marriages registered in the Orenburg Region decreased from a maximum of 15418 in 2015 to a minimum of 12304 in 2019, which was 20.2 %. The number of divorces did not decrease so rapidly, from 8,717 maximum in 2015 to 8,424 minimum in 2019, which was 3.36 %. The adoption of managerial decisions aimed at improving the standard of living and health of the population, as well as the environmental situation at the level of legislative and executive authorities will contribute to an increase in life expectancy, reduction in the death rate, and an increase in the birth rate of the population.

Assessment of river otter abundance following reintroduction

2018 ◽  
Vol 45 (6) ◽  
pp. 490
Author(s):  
E. Hance Ellington ◽  
Paul D. Flournoy ◽  
Chris P. Dwyer ◽  
Mark D. Witt ◽  
Stanley D. Gehrt
Keyword(s):  
Population Growth ◽  
Leslie Matrix ◽  
Population Estimates ◽  
Initial Population ◽  
Population Abundance ◽  
Exponential Rate ◽  
River Otter ◽  
River Otters ◽  
Leslie Matrix Model ◽  
Harvesting Regime

Context By the early 1900s, river otters (Lontra canadensis) were extirpated across large parts of their range in North America. Over the last several decades they have made a remarkable recovery through widespread reintroduction programs. River otters were reintroduced in Ohio, USA, between 1988 and 1993, and restricted and limited harvesting of this population began in 2005. While circumstantial evidence points to rapid population growth following the reintroduction, changes in population size over time is unknown. Aims We sought to model river otter population growth following reintroduction, and to assess the impact of harvesting. Methods We used empirical and literature-based data on river otter demographics in Ohio to estimate abundance from 1988–2008 using an age- and sex-specific stochastic Leslie matrix model. Additionally, we used statistical population reconstruction (SPR) methods to estimate population abundance of river otters in Ohio from 2006 to 2008. Results Our Leslie matrix model predicted a population size of 4115 (s.d. = 1169) in 2005, with a population growth rate (λ) of 1.28 in 2005. Using SPR methods we found that both trapper effort and initial population abundance influenced our population estimates from 2006 to 2008. If we assumed that river otter pelt price was an accurate index of trapper effort, and if the initial population was between 2000 and 4000, then we estimated the λ to be 1.27–1.31 in 2008 and the exponential rate to be 0.17–0.21 from 2006 to 2008. Conversely, if the river otter population in 2005 was 1000, then we estimated λ to be 1.20 in 2008 and the exponential rate to be 0.08 from 2006 to 2008. Conclusions The river otter population in Ohio appears to have had the potential to grow rapidly following reintroduction. The ultimate effect of the harvesting regime on population abundance, however, remains clouded by limited data availability and high variability. Implications The considerable uncertainty surrounding population estimates of river otters in Ohio under the harvesting regime was largely driven by lack of additional data. This uncertainty clouds our understanding of the status of river otters in Ohio, but a more robust, long-term monitoring effort would provide the data necessary to more precisely monitor the population.

Translating bioassay results to field population responses using a Leslie-matrix model for the marine amphipod Corophium volutator

2006 ◽  
Vol 196 (3-4) ◽  
pp. 515-526 ◽  
Author(s):  
Mathijs G.D. Smit ◽  
Belinda J. Kater ◽  
Robbert G. Jak ◽  
Martine J. van den Heuvel-Greve
Keyword(s):  
Matrix Model ◽  
Field Population ◽  
Leslie Matrix ◽  
Corophium Volutator ◽  
Population Responses ◽  
Leslie Matrix Model ◽  
Marine Amphipod

scholarly journals Analysis of Socio-Economic Indicators Scenario in Pakistan

2018 ◽  
Vol 14 (3) ◽  
pp. 206-218
Author(s):  
Muhammad Afzal ◽  
Dilshad Ahmad ◽  
Zobia Zaman
Keyword(s):  
Time Series ◽  
Life Expectancy ◽  
Population Growth ◽  
Birth Rate ◽  
Social Economic ◽  
Economic Factors ◽  
Asian Countries ◽  
Demographic Indicators ◽  
The Common ◽  
Global Data

This paper examined the socio-economic-demographic indicators with time series evidence vis-à-vis Asian countries to compare Pakistan’s position with these countries. With the help of tables based on standard global data followed by Pakistan data an attempt has been made to get valid picture of the above-mentioned indicators. Life expectancy, IMR, TFR, GNP allocation to health, women using contraceptive are not comparable and delightful leading to unparalleled increase in population in addition to economic factors. Birth rate is the highest in Pakistan compared to the remaining 9 countries. Poverty will escalate that will breed all social, economic and political problems. It may be concluded that if the present pace of population growth continues, people may fail to find a place even for standing. Population is the most agonizing and perplexing problem that has made the common man life miserable and unsustainable.

BIRTH RATE IS THE KEY

PEDIATRICS ◽  
1982 ◽  
Vol 70 (4) ◽  
pp. 608-608
Author(s):  
Keyword(s):  
Developing Countries ◽  
Life Expectancy ◽  
Population Growth ◽  
Third World ◽  
Birth Rate ◽  
High Fertility ◽  
Childbearing Age ◽  
Coronary Insufficiency ◽  
The Third ◽  
The Third World

The best current estimates suggest that the population ef the Third World is likely to triple in the next century and thereafter remain stable. Even if life expectancy were to rise at what appears to be the fastest rate possible, the effect on the ultimate, stable population of the Third World would be small. The reason is that the rate of population growth in the developing countries has become increasingly insensitive to changes in the death rate. The most important influences on growth are future trends in fertility and the large numbers of young people now reaching childbearing age, mainly as a result of high fertility in the recent past. If population growth is to be kept to a minimum, attention to reducing the birth rate will be most important. No substantial demographic consideration need stand in the way of the industrialized countries' carrying out their responsibility to help increase life expectancy in the developing countries....reductions in mortality have a diminishing influence on population growth as higher levels of life expectancy are achieved. The reduced effect is due to a shift in the age distribution of deaths. An infant saved from death from smallpox is enabled to live 50 or 60 years before dying of some other cause. A mother who would have died in childbirth gains another 30 or 40 years. A person 70 years old suffering from coronary insufficiency is granted another five years. As a result of such delays the average age at death and the proportion of deaths occurring among older people rise.

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