Changes for page 5.3.1.7. Housing

Last modified by Hyunji Cho on 2022/02/04 11:17

From version 4.1
edited by Hyunji Cho
on 2022/02/04 11:17
Change comment: There is no comment for this version
To version 1.2
edited by Hyunji Cho
on 2022/01/11 11:12
Change comment: Update document after refactoring.

Summary

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4 -====== **Description** ======
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6 -Housing, while lacking as an issue in many of the submissions to Rio+20, was clearly identified through the Oxfam workshop, the consultation for the Humankind Index, secondary sources and discussions with stakeholders as being fundamental in its own right and in relation to so many other domains of the social floor. As a respondent to the Humankind Index reported: ‘[A home is important as] a secure place that people can call their own, control access to and build a life from.’
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8 -There are a range of housing indicators that might be considered for this project, including housing quality, affordability, overcrowding and homelessness. Indicators of housing quality tend to be basic, or not comparable across areas of the UK, while some issues, such as dampness, are to a degree dealt with by the fuel poverty indicator within the Energy domain, and affordability is, in part, dealt with by the Income domain.
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11 -====== **Scale as linked to D2.2 framework** ======
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15 -* National
16 -* City
17 -* Neighborhood
18 -* Street
19 -* Household
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22 -====== **Data source [ link to data framework]** ======
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24 -* Homelessness
25 -* Example of UK data
26 -* ‘Housing (Overcrowding) Act 2003’, London: The Stationery Office. http:~/~/www.publications.parliament.uk/pa/cm200203/cmbills/046/03046.i-5.html 98 Scottish Government (2013) op. cit. Table 47
27 -* Department for Communities and Local Government (DCLG) (2014) ‘English Housing Survey, Headline Report 2012- 13’, London: DCLG. Table 9. https:~/~/www.gov.uk/government/uploads/system/uploads/attachment_data/file/284648/English_Housing_Survey_He adline_Report_2012-13.pdf (accessed January 2015).
28 -* ONS (2012 and 2014) ‘Census: Occupancy Rating (bedrooms), Local Authorities in England and Wales’, Table QS412EW. See link at http:~/~/www.ons.gov.uk/ons/rel/census/2011-census/key-statistics-for-local-authorities-in-england-andwales/stb-2011-census-key-statistics-for-england-and-wales.html (accessed January 2015).
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31 -====== **Data needs** ======
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33 -* Homelessness (However, homelessness data suitable for the purposes of the Doughnut model are difficult to establish, as the various manifestations of it, including rough sleeping, hidden homelessness,)
34 -* Overcrowding
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37 -====== **Expected Outputs** ======
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39 -* Regarding 6+1 groups: social/economic
40 -* We can overlap the data and check the intersectional disadvantage.
41 -* For example: Scottish data assessing the correlation between income and overcrowding show that those with a weekly income of under £100 are twice as likely (6 percent) to live in overcrowded homes (Figure 10). However, beyond that income group the picture is mixed. Data from England suggest a link between ethnicity and overcrowding, with over 12 percent of the black and minority ethnic (BME) population in England experiencing overcrowding compared with around 2 percent of the white population.102 Similarly, differentials can be seen in the nature of tenure, with over 6 percent of households in England in rented accommodation being overcrowded, compared with just over 1 percent of owner-occupiers.103 We have been unable to source any gender-related data for this domain.
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44 -====== **Calculation methods** ======
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46 -* Overcrowding is measured by an occupancy rating based upon the bedroom standard, which requires a set number of bedrooms according to the number, age, gender, and relationship of the occupants)
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49 -====== **Links and references** ======
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54 -Revisions
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56 -|**Version**|**Name**|**Date**|**Changes made**
57 -|**0.1**|Name (Organisation)|05/01/2022|[changes made in this edit]
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