Brindey, Paul and Maheswaran, Ravi and Mears, Meghann
(2019).
Carstairs deprivation index for Sheffield output areas 2011.
[Data Collection]. Colchester, Essex:
UK Data Service.
10.5255/UKDA-SN-853643
There is considerable evidence that a healthy natural environment - particularly where people live - and regular access to it, can contribute positively to the health and wellbeing of the population, and that it has the most benefit on those with the highest levels of ill-health. As society looks for cost effective ways to boost mental and physical health and quality of life, it is clear that increased positive interaction between people and the natural environment could be a significant part of the UK's future health care arrangements.
However, this potential is not yet being fulfilled - in part because we do not fully understand how and why people interact with the natural environment, and which aspects of the environment, and people's experience of it, lead to positive health and wellbeing outcomes. Does the biodiversity of a place affect people's health and wellbeing? Why are some sections of society, on whom natural environments could have the greatest positive impact, less likely than average to visit natural places? What part does experience of and connection to nature play? What role does access to a high quality natural environment have in the health and wellbeing of people at particularly significant stages in their lives (when they are most vulnerable to ill-health)? If we understood the physical, psychological and socio-economic reasons why members of black, asian and minority ethnic communities, the elderly, disadvantaged urban residents, and those from lower socio-economic groups (in particular) interact with the natural environment as they do - and how this changes through their lives - it would enable us to design and manage our urban spaces more effectively to generate health and wellbeing benefits, and to engage critically important sections of society more effectively, to great social and economic benefit.
This project will study the interaction within one large city between people, their local natural environment and their health and wellbeing. It aims to:
1. Understand at a detailed level how the health and wellbeing of the people within different neighbourhoods relates to the quantity, quality and distribution of natural greenspaces where they live;
2. Investigate the role that culture, upbringing, social values and norms play in this;
3. Explore how people from different ethnic and socio-economic groups interact with greenspaces and how this affects their connectedness to nature, and mental health and wellbeing;
4. Discover how the biodiversity value of the places that people visit affects their mental health and wellbeing;
5. Develop a way to assess the economic implications of these insights;
6. Develop effective ways to feed this knowledge into the policy, delivery and investment decisions of politicians, planners, designers, developers, land managers, public health commissioners and other professionals, business leaders and relevant voluntary and community organisations.
It will:
1. Explore the relationship between urban natural environments and health and wellbeing across the whole of Sheffield - focusing especially on mental health and using more detailed datasets than those used in previous research;
2. Explore how urban residents from diverse backgrounds (especially differentiated by age, gender, ethnicity and mental health service use) communicate their own stories and values relating to contact and connectedness with nature;
3. Use an innovative smartphone App to record the interactions of a large population sample with Sheffield's natural environment, and its relationship to their nature connectedness and personal wellbeing;
4. Quantify the biodiversity value of different parts of Sheffield's environment and identify the relationship between this and the nature connectedness and personal wellbeing of people experiencing them;
5. Identify the economic, practical and policy implications of these insights, and effective ways of applying them.
Data description (abstract)
We calculated Carstairs Index at Output Area for Sheffield to facilitate spatial analysis of socioeconomic deprivation at smaller scales than is possible using the Index of Multiple Deprivation. The data were created for use in the Improving Well-being through Urban Nature project, which looked at the relationships between urban green space and health, especially mental health and well-being, using a variety of quantitative, qualitative and interventional methods, and using the English city of Sheffield as a case study.
Data creators: |
|
Sponsors: |
Natural Environment Research Council
|
Grant reference: |
NE/N013565/1
|
Topic classification: |
Demography (population, vital statistics and censuses)
|
Keywords: |
socio-economic indicators, sheffield (district), urban areas, health, mental health, well-being (health)
|
Project title: |
Improving Wellbeing through Urban Nature: integrating green/blue infrastructure and health service valuation and delivery (IWUN)
|
Grant holders: |
Anna Jorgensen, Clare Rishbeth, Phil Shackley, Kirsten McEwan, Ravi Maheswaran, John Michael Henneberry, David Sheffield, K Thwaites, Sarah Payne, Nicola Dempsey
|
Project dates: |
From | To |
---|
6 June 2016 | 5 June 2019 |
|
Date published: |
13 Aug 2019 11:08
|
Last modified: |
13 Aug 2019 11:08
|
Temporal coverage: |
From | To |
---|
27 March 2011 | 27 March 2011 |
|
Geographical area: |
Sheffield |
Country: |
United Kingdom |
Spatial unit: |
Census Geography > Output Areas |
Data collection method: |
All data were obtained from Nomis (https://www.nomisweb.co.uk/census/2011). The following tables were used:
• Male unemployment: KS602UK – Economic activity – Males
• Overcrowded households: QS409EW – Persons per room – Households
• No car ownership: QS416EW – Car or van availability
• Low skill occupation: QS607EW – NS-SeC
|
Observation unit: |
Geographic unit |
Kind of data: |
Numeric, Geospatial |
Type of data: |
Census data
, Geospatial data
|
Resource language: |
English |
|
Data sourcing, processing and preparation: |
We followed Paul Norman’s described methodology for 2001 data (https://census.ukdataservice.ac.uk/media/215841/Calculating_2001_deprivation.pdf) and Ben Wheeler’s methodology for calculating the index from 2011 census data at LSOA scale (http://reshare.ukdataservice.ac.uk/851497/). In short, the index uses four variables derived from census data: proportion of adult male unemployment (as a proportion of economically active males), proportion households that are overcrowded (more than one person per room), proportion of households with no car/van ownership, and proportion of residents living in households with a head of household in an unskilled or low skilled occupation (referred to as low social class). Each variable is z-scored (mean-centred and divided by standard deviation), and the z-scores are summed to give the index.
|
Rights owners: |
|
Contact: |
|
Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
|
Publisher: |
UK Data Service
|
Last modified: |
13 Aug 2019 11:08
|
|
Available Files
Data
Documentation
Read me
Edit item (login required)
|
Edit Item |