Unified population register as a source of conducting socio-demographic analysis
Research Article
Acknowledgments
The work was conducted with the financial support of the Foundation for Development of Science under the President of the Republic of Azerbaijan, Grant № EiF-BGM-4-RFTF-1/2017-21/08/1.
How to Cite
Yusifov F.F., Akhundova N.E. Unified population register as a source of conducting socio-demographic analysis. Population. 2022. Vol. 25. No. 1. P. 80-91. DOI: https://doi.org/10.19181/population.2022.25.1.7 (in Russ.).
Abstract
The article deals with the analysis of demographic characteristics based on data from unified population register. The role of population registers, which are considered the most important sources of population data, is examined. The possibility of a wider use of the data of the unified population register in socio-demographic research is studied. Demographic characteristics are analyzed in the context of the COVID-19 pandemic based on data from individuals integrated into a single registry for experimental assessment. Experience shows that although data from population registers are currently used in demographic research, there is no approach to using data from other government registers. One of the main features of conducting demographic analysis using data collected in different state registers is the presence of a single identification number for each person. In the study, the information on individuals is presented by hypothetical data taken from two separate registers (population registers and health registers). A dataset on 1,000 individuals was combined into a single register. In this dataset, personal data and information about health of the population were collected. The dataset includes each person's PIN, gender, age, position, number of family members, nationality, chronic diseases including diabetes, bronchial asthma, COVID-19 infection, death from COVID-19, recovery from COVID-19. The obtained results show that the creation of a single integrated register based on the population register — electronic demography system — requires an increase in the number of available statistical indicators, integration of various state registers for a more detailed analysis. This will allow processing data and performing statistical analysis more thoroughly and for a longer period of time.
Keywords:
electronic demography, unified population register, population data, state registers, COVID-19 pandemic, personal identification number (PIN)
References
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2. Prins K. Population register data, basis for the Netherlands Population Statistics. Statistics Netherlands. Hague. 2017. Available at: www.cbs.nl/-/media/_pdf/2017/38/population-registerdata.pdf (Accessed: 12 December 2021).
3. Poulain M., Herm A. Central population registers as a source of demographic statistics in Europe. Population. 2013. Vol. 68. No. 2. P. 183-212. DOI: 10.3917/popu.1302.0215.
4. Alguliyev R. M., Aliguliyev R. M., Yusifov F. F., Alekperova I. Y. Formirovanije elektronnoj demografii kak effektivnogo instrumenta sotsial'nyh issledovanij i monitoringa dannyh o naselenii [Developing electronic demography as an effective tool for social research and monitoring population data]. Voprosy gosudarstvennogo i munitsipal'nogo upravlenija [Public Administration Issues]. 2019. No. 4. P. 61-86 (in Russ.)
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6. Yusifov F. Using public registers for development of electronic demography system: The case of Azerbaijan. International Journal of Computing and Digital Systems. 2021. No. 1. P. 1251-1261.
7. Billari F., Zagheni E. Big data and population processes: a revolution? Statistics and Data Science: New Challenges, New Generations. Proceedings of the Conference of the Italian Statistical Society, 28-30 June, Florence (Italy). 2017. Firenze University Press. P. 167-178.
8. Population Registers: A Key Resource for Producing Vital Statistics. UN ESCAP Statistics Division. No. 26. 2020. 12 p. Available at: https://www.unescap.org/sites/default/d8files/knowledge-products/Stats_Brief_Issue26_Oct2020_A_Key_Resource_for_Producing_Statistics.pdf (Accessed: 23 December 2021).
9. Alguliyev R., Aliguliyev R., Yusifov F. Graph Modelling for Tracking the COVID-19 Pandemic Spread. Infectious Disease Modelling. 2021. Vol. 6. P. 112-122.
10. Lyngstad T. H., Skardhamar T. Nordic register data and their untapped potential for criminological knowledge. Crime and Justice. 2011. Vol. 40(1). P. 613-645.
11. Courgeau В., Bijak J., Franck R., Silverman E. Model-based demography: Towards a research agenda. Agent-Based Modelling in Population Studies. 2016. Vol. 48. P. 29-51
12. Henderson J. V., Storeygard A., Weil D. N. Measuring economic growth from outer space. The American Economic Review. 2012. Vol. 102. No. 2. P. 994-1028.
13. Weber I., State B. Digital demography. Proceedings of the International World Wide Web Conference Committee (IW3C2), April 3-7, 2017, Perth, Australia. P. 935-939.
14. Chudinovskikh O. Bol'shije dannye i statistika migratsii [Big data and migration statistics]. Statistical Issues. 2018. Vol. 25. No. 2. P. 48-56. (in Russ.)
15. Careja R., Bevelander P. Using population registers for migration and integration research: Examples from Denmark and Sweden. Comparative Migration Studies. 2018. Vol. 6. No. 1. P. 6-19.
Article
Received: 17.12.2021
Accepted: 16.03.2022
Citation Formats
Other cite formats:
APA
Yusifov, F. F., & Akhundova, N. E. (2022). Unified population register as a source of conducting socio-demographic analysis. Population, 25(1), 80-91. https://doi.org/10.19181/population.2022.25.1.7
Section
DEMOGRAPHY: THEORY AND PRACTICE ISSUES
