an article by Michael Hirst (University of York, UK) published in Population, Space and Place Volume 23 Issue 8 (November 2017)
Abstract
Faith traditions frequently proclaim priority for the poor and socially marginalised, emphasising individual and collective responsibility towards those in poverty. Ordained ministers or clergy – possibly the main investment of religious organisations – play a key role in encouraging and fulfilling that commitment in their local settings.
This paper considers the availability of clergy to provide pastoral care in areas of high socio-economic deprivation. Data from the 2011 census of England are used to correlate area variations in the number of clergy with household and neighbourhood deprivation.
Findings show that clergy are distributed inversely to socio-economic deprivation at the ecological level. Fewer clergy are available or readily accessible in the most deprived areas, raising questions about their ability to respond pastorally and act politically on behalf of the poor.
Market forces that draw clergy deployments towards less deprived areas warrant further investigation.
Showing posts with label census. Show all posts
Showing posts with label census. Show all posts
Sunday, 17 December 2017
Friday, 19 April 2013
Super Output Area Population Estimates - Mid-2011 (Census Based)
via ONS Media Centre
This bulletin presents the 2011 mid-year population estimates for lower layer and middle layer Super Output Areas (LSOA and MSOA respectively), which are small areas within England and Wales. It also describes recent changes, the impact of these changes on local areas within England and Wales and population age distributions within these areas.
Key points
This bulletin presents the 2011 mid-year population estimates for lower layer and middle layer Super Output Areas (LSOA and MSOA respectively), which are small areas within England and Wales. It also describes recent changes, the impact of these changes on local areas within England and Wales and population age distributions within these areas.
Key points
- In mid-2011 there were 34,753 lower layer Super Output Areas (LSOAs) in England and Wales with a mean population of 1,620 and 7,102 middle layer Super Output Areas (MSOAs) with a mean population of 7,800.
- The LSOAs with the highest population densities are all in Inner London, with the most densely populated area being Kensington and Chelsea 021C.
- The least densely populated LSOA in England and Wales is Northumberland 019C in Northumberland National Park.
- Mid-2011 Super Output Area (SOA) population estimates are based on the results of the 2011 Census. Previous estimates based on the 2001 Census and updated annually over the ten year period were within 5% of the 2011 Census based estimate in approximately 65% of LSOAs.
- SOA population estimates are particularly important for use in many areas of research as they provide key demographic information on small geographic areas that were designed specifically for the purpose of enabling statistical analysis.
Tuesday, 6 November 2012
Breaching the Contract? Privacy and the UK Census
an article by Catherine Heeney (Consejo Superior de Investigaciones Cientificas, Madrid) published in The Information Society Volume 28 Issue 5 (October-December 2012)
Abstract
Along with informed consent, anonymisation is an accepted method of protecting the interests of research participants, while allowing data collected for official statistical purposes to be reused by other agencies within and outside government.
The Decennial Census, carried out in a number of countries, including the United Kingdom, is a major event in the production of research data and provides an important resource for a variety of organisations.
This article combines ethical evaluation, a review of relevant law and guidance, and analysis of 30 qualitative interviews (carried out during the period of the 2001 UK Census), in order to explore the adequacy of the current framework for the protection of informational privacy in relation to census data.
Taking account of Nissenbaum’s concept of “contextual integrity”, Vedder’s concept of “categorical privacy”, and Sen’s call to heed of the importance of “actual behaviour”, it will be argued that the current “contractarian” view of the relationship between an individual participant and the organisation carrying out the Census does not engage sufficiently with actual uses of data.
As a result, people have expectations of privacy that are not matched by practice and that the current normative – including the governance – framework cannot capture.
Hazel’s comment:
If people do not have confidence in the privacy of personal information provided to census enumerators then they will soon start providing information that is less than accurate – to the detriment of researchers and planners.
Abstract
Along with informed consent, anonymisation is an accepted method of protecting the interests of research participants, while allowing data collected for official statistical purposes to be reused by other agencies within and outside government.
The Decennial Census, carried out in a number of countries, including the United Kingdom, is a major event in the production of research data and provides an important resource for a variety of organisations.
This article combines ethical evaluation, a review of relevant law and guidance, and analysis of 30 qualitative interviews (carried out during the period of the 2001 UK Census), in order to explore the adequacy of the current framework for the protection of informational privacy in relation to census data.
Taking account of Nissenbaum’s concept of “contextual integrity”, Vedder’s concept of “categorical privacy”, and Sen’s call to heed of the importance of “actual behaviour”, it will be argued that the current “contractarian” view of the relationship between an individual participant and the organisation carrying out the Census does not engage sufficiently with actual uses of data.
As a result, people have expectations of privacy that are not matched by practice and that the current normative – including the governance – framework cannot capture.
Hazel’s comment:
If people do not have confidence in the privacy of personal information provided to census enumerators then they will soon start providing information that is less than accurate – to the detriment of researchers and planners.
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