Digital population and housing census – the experience of Serbia

Miladin Kovačević
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引用次数: 0

Abstract

The aim of the paper is to present the experience of the Republic of Serbia in conducting the 2022 Census of Population, Households and Dwellings, focusing on the employment, legal framework and financing of the census as well as on its successful implementation. It discusses strategic decisions on data collection and the integration of information technology – including geospatial data, data collection techniques, machine learning, record linkage and monitoring system – to overcome the challenges posed by the census. The paper addresses the census undercoverage, explores the use of administrative data for item imputation, and examines the development of a statistical population register. The study demonstrates the benefits of adopting a digital-census approach: significant improvement of accuracy, cost reduction and acquired expeditiousness. The Statistical Office of the Republic of Serbia conducted a digital census combined with traditional methods, excluding self-enumeration, along with the use of administrative data for item imputation, and recommends this approach as the most effective way to obtain precise and comprehensive information about a population, including its demographic characteristics, geographic distribution and overall size.
数字人口和住房普查——塞尔维亚的经验
本文的目的是介绍塞尔维亚共和国在进行2022年人口、家庭和住宅普查方面的经验,重点是就业、法律框架和普查的融资以及普查的成功实施。它讨论了数据收集和信息技术整合的战略决策,包括地理空间数据、数据收集技术、机器学习、记录链接和监测系统,以克服人口普查带来的挑战。本文讨论了人口普查的不足,探讨了使用行政数据进行项目推算,并审查了统计人口登记册的发展。该研究证明了采用数字普查方法的好处:准确性的显著提高、成本的降低和获得的快速性。塞尔维亚共和国统计局结合传统方法进行了一次数字人口普查,不包括自我枚举,同时使用行政数据进行项目推算,并建议这种方法是获得关于人口的准确和全面信息的最有效方法,包括其人口特征、地理分布和总体规模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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