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Professor Michael Noble University of Oxford

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What can Social Science Contribute to Neighbourhood renewal? Indices of Multiple Deprivation for South Africa. Professor Michael Noble University of Oxford Centre for the Analysis of South African Social Policy (CASASP). The Role of Indices of Multiple Deprivation in Neighbourhood Renewal. - PowerPoint PPT Presentation
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University of Oxford Centre for the Analysis of South African Social Policy What can Social Science Contribute to Neighbourhood renewal? Indices of Multiple Deprivation for South Africa Professor Michael Noble University of Oxford Centre for the Analysis of South African Social Policy (CASASP)
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Page 1: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

What can Social Science Contribute to Neighbourhood renewal?

Indices of Multiple Deprivation for South Africa

Professor Michael Noble

University of OxfordCentre for the Analysis of South African Social Policy (CASASP)

Page 2: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

The Role of Indices of Multiple Deprivation in Neighbourhood

Renewal Policies for Neighbourhood Renewal have as a

pre-requisite that areas in need of re-generation need to be rigorously identified

At Oxford we’ve developed Indices for England (x2 – 3rd underway), Scotland (x1), Wales (x1), Northern Ireland (x2)

In South Africa – Urban Development Programme; Integrated Rural Development Programme identified by informed opinion not evidence

Provincial Indices of Multiple Deprivation launched March 2006

Page 3: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Collaborators

Statistics South Africa Human Sciences Research Council

Page 4: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Outline

The model of multiple deprivation Brief description of the PIMD and

component domains Domain and indicator issues Brief description of the methodology Findings Next Steps

Page 5: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Model of Multiple Deprivation

Deprivation is multi-dimensional and multiple deprivation can be conceptualised as the combination of individual dimensions or domains of deprivation.

The individual domains must be identified and carefully defined.

Indicators are selected for each domain which are the best possible direct measures of that dimension of deprivation.

The indicators are combined to create an overall relative measure of that dimension of deprivation.

Page 6: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Data Source

2001 Census Code developed on 10% SAR Code passed to Stats SA who ran it

on 100% Census Run at ward level

Page 7: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

The Domains

Income and Material deprivation Employment deprivation Health deprivation Education deprivation Living Environment deprivation

Page 8: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

The Income/Material Deprivation Domain

This domain aims to capture the proportions of the population experiencing income/material deprivation in an area.

Numerator = Number of people experiencing one or more of the following: Living in a household that has a household

equivalent income below R10,189 pa (R850 per month);

Living in a household without a refrigerator; Living in a household with neither a TV nor a radio.

Denominator = Total population (excluding institutions)

Page 9: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

The Employment Domain

This domain measures employment deprivation conceptualised as involuntary exclusion of the working age population from the world of work

Numerator = Number of people who are: Unemployed (using official definition i.e. did

not work in 7 days prior to Census night, wanted to work and available to start within a week, had taken active steps to find work or start some form of self-employment in previous 4 weeks); plus

Not working because of illness or disability

Denominator = Total economically active population (15-65 year olds incl.) + people not working because of illness or disability

Page 10: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

The Health Domain

This domain identifies areas with relatively high rates of people who die prematurely

Years of Potential Life Lost

Page 11: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

The Education Domain

The purpose of the domain is to capture the extent of deprivation in education qualifications in a local area

Numerator = Number of 18-65 year olds (inclusive) experiencing the following: No schooling at secondary level or above

Denominator = Number of 18-65 year olds (inclusive) excluding institutions.

Page 12: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

The Living Environment

The purpose of this domain is to identify deprivation relating to the poor quality of the living environment.

Numerator = Number of people experiencing one or more of the following: No access to a telephone; No piped water inside their dwelling or in their yard; No use of electricity for lighting; Living in households that are shacks; Living in households without a pit latrine with ventilation

or flush toilet; Living in households with two or more persons per room.

Denominator = Total population (excluding institutions)

Page 13: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Methodology

Dealing with small numbers (shrinkage estimation in health domain)

Combining the indicators to create domain scores

Combining the domain scores into an Index of Multiple Deprivation

Page 14: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Combining the domains into PIMD

Domain scores were standardised by ranking

The ranks were then transformed to an exponential distribution

Properties of the exponential Spreads out the 25% most deprived

wards eliminates implicit weights and thus

controls cancellation between domains

Page 15: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Provincial Geography(2001 Census)

Wards were deleted if they were situated in District Management Areas or if they had very small populations.

Page 16: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Page 17: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Page 18: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Page 19: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Page 20: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Page 21: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Page 22: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Page 23: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Page 24: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Page 25: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Limitations of PIMD

Uneven Ward geography

Page 26: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Variation in Ward Size

Page 27: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Limitations of PIMD

Uneven Ward geography Not up to date or updateable Domains of deprivation limited by

Census variables

Page 28: Professor Michael Noble University of Oxford

University of Oxford Centre for the Analysis of South African Social Policy

Next Steps

Undertake in depth Provincial Analyses e.g. as commissioned by Western Cape

Create a ‘statistical’ geography – Data Zones

Create a National Index Update using 2007 Community Survey

(Census Replacement Survey) Move to administrative data where possible Create a 1996 Index to monitor change


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