The Modern Census: Evolution, Examples and Evaluation

Baffour, Bernard; King, Thomas; Valente, P.

doi:10.1111/insr.12036

Cited by 58 publications

(43 citation statements)

References 27 publications

(32 reference statements)

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“…National census agencies are also realising both the challenges and opportunities that matching their data with external, possibly commercial, databases can bring (Baffour et al 2013; Office for National Statistics 2013). The acquisition of data from a variety of organisations is, however, a complicated process that involves negotiations with various partners.…”

Section: Discussionmentioning

confidence: 99%

Population Reconstruction

Kirby¹,

Carson²,

Dunlop³

et al. 2015

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PrefacePeople shape societies. They are linked to each other by family ties and networks with social, economic and religious dimensions. People live together in households and form communities. Some own a house, land and other properties, often related to their profession. And all this is in continuous change. People are born, marry, have children and die, and they change houses and addresses, and build careers. For the study of a society in all aspects, people are at the heart of the problem and should be known in the context of their complex relationships. Even today, it is not easy to get this information in an all-enfolding way, but for populations in the past, it is a real challenge. And that is what this book is about. The book addresses the problems that are encountered, and solutions that have been proposed, when we aim to identify people and to reconstruct populations under conditions where information is scarce, ambiguous, fuzzy and sometimes erroneous.It is not a single discipline that is involved in such an endeavour. Historians, social scientists, and linguists represent the humanities through their knowledge of the complexity of the past, the limitations of sources and the possible interpretations of information. The availability of big data from digitised archives and the need of complex analyses to identify individuals require the involvement of computer scientists. With contributions from all these fields, often in direct cooperation, this book is at the heart of digital humanities and hopefully a source of inspiration for future investigations.The process from handwritten registers to a reconstructed digitised population has three major phases which shape the three sections of this book. The first phase is that of data transcription and digitisation while structuring the information in a meaningful and efficient way. Little of this phase can be automated. With archives that comprise easily tens of millions of records, the help of volunteers for transcription and digitisation is indispensable, but requires a rigorous management. Experiences from Denmark demonstrate the complexity of this task in Chap. 1. Spelling variation, aliases, abbreviations, errors and typos all generate difficulties in further processing and require data cleaning. Similarity measures can be helpful to v

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Section: Discussionmentioning

confidence: 99%

Population Reconstruction

Kirby¹,

Carson²,

Dunlop³

et al. 2015

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“…Currently, we are witnessing a change in the way of conducting statistical surveys (Baffour, King, Valente, 2013, Zhang 2012, UN 2011). Q.…”

Section: Shift In Statistics and Population Census Qualitymentioning

confidence: 99%

“…This means a shift from a system based on address lists and interviews to the one in which sample surveys become 'register-based'. Registers are not only helpful in updating frames, improving sample scheme and survey design, but are also used in estimation process, provide auxiliary data for estimation or serve for evaluation purposes (UN 2011, Baffour, King, Valente 2013, Zhang 2011. The administration register data may be combined with other data sources as well as it can be used to improve other surveys in the system.…”

Section: Shift In Statistics and Population Census Qualitymentioning

confidence: 99%

Shift in Methodology and Population Census Quality

Gołata

2016

Statistics in Transition New Series

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The article refers to the shift in methods to conduct a population census: from a conventional enumeration through a sample survey and a mixed approach to administrative data, as a new standard in statistics. The paper compares two Polish censuses of 2002 and 2011. It is aimed at quality assessment in the case of both: the traditional method (2002 census) and the combined approach (2011 census). The quality of census data is discussed with essential aims and objectives to provide reliable information on the population age and sex structure in detailed territorial division. Therefore, quality assessment is provided for the whole country and at regional level. First of all, coverage errors are considered. We use multiple sources of data and non-matching methods, in particular: demographic analysis based on previous censuses, vital statistics and a comparison with other existing sources. Different cross-sections according to sex, age and place of residence are considered. In each separate domain adequacy and divergence assessments are accompanied by an attempt to provide substantive explanations.

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“…Data collection begins with the decennial census, the latest of which was in 2011 with households used as the primary unit of enumeration (Baffour et al 2013). The lowest geography for which data are available at is Output Areas with between 40 and 125 households in each.…”

Section: Present Arrangements and The Case For Changementioning

confidence: 99%

Using Administrative Data to Count and Classify Households with Local Applications

Harper

Mayhew

2015

Appl. Spatial Analysis

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Households rather than individuals are being increasingly used for research and to target and evaluate public policy. As a result accurate and timely household level statistics have become an increasing necessity especially at local level. However, official sources of information on households are fragmented with significant gaps and inaccuracies that limit their usefulness. This paper reviews present statistical arrangements and then describes a new approach to data collection and household classification which combine various local administrative sources. An intermediate step is the creation of local population counts which are converted into household types and these methods are described in two companion papers previously published in this journal. The utility and advantages of the approach are demonstrated using the example of the six Olympic London Boroughs for whom the data collection was undertaken in 2011 and the analysis subsequently.

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The Modern Census: Evolution, Examples and Evaluation

Cited by 58 publications

References 27 publications

Population Reconstruction

Population Reconstruction

Shift in Methodology and Population Census Quality

Using Administrative Data to Count and Classify Households with Local Applications

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