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Comparative analysis of official demographics
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공식인구통계들에 대한 비교 분석

논문 기본 정보

Type
Academic journal
Author
Journal
The Korean Data and Information Science Society Journal of the Korean Data And Information Science Society Vol.28 No.1 KCI Excellent Accredited Journal
Published
2017.1
Pages
99 - 108 (10page)

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Method
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Result
Comparative analysis of official demographics
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Abstract· Keywords

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There are three official official demographics of the Republic of Korea: the population census, population projections, and resident population. Among these, the population projections estimates are based on population census statistics, which are conducted every five years. This study compared and analyzed the future population statistics and resident population statistics. In order to detect errors in the census process, we surveyed the outliers of demographic data. Based on these, we aimed to verify the reliability of official demographics. Resident registration demographics showed a tendency to increase as the age increased from 0 to 12 years, although the population had to decrease as the age increased. In the population projections, as the age increases from 18 to 28, a new population has developed and the population has increased. Also, in the resident population, between 2009 and 2010, in the population projections, between 2010 and 2011, there was a strange phenomenon that the population grew as a result of a new population as the age of all ages increased. Both official demographics need to be carried out through more accurate verification. Increasing the reliability of the aged population survey on the elderly population statistics will provide greater efficiency in establishing administrative policies.
#the estimated population #the resident population #공식인구통계 #인구센서스 #주민등록인구 #장래인구추계 #Cohort year-moving survival

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[학술지(정기간행물)] - 김종태 / 2005 / The Forecasting About the Number of the Third Graders in a High-school until 2022 year in Daegu City / 한국데이터정보과학회지 16 (4) : 933 ~ 942 google schola [학술지(정기간행물)] - 김종태 / 2009 / 학년진급률에 따른 학생수 예측방법 / 한국데이터정보과학회지 20 (5) : 857 ~ 867 dbpia [학술지(정기간행물)] - 김종태 / 2015 / 대구·경북지역의 고등학교 3학년 학생수 추계 / 한국데이터정보과학회지 26 (4) : 907 ~ 914 dbpia [학술지(정기간행물)] - 박혜정 / 2013 / 서포트벡터 군집분석을 이용한 대구·경북지역 대학의 분류 / 한국데이터정보과학회지 24 (4) : 783 ~ 791 dbpia [단행본] - Park, J. S. / 2016 / Demographics / KyoWooSa google schola

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