Informal settlements data - Mpumalanga - Housing Development ...

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2 Agenda Data Sources Number and Size of Informal Settlements Profiling Informal Settlements
3 Data sources Census 2001 Household data Community Survey: Survey of 246,618 households General Household Survey (Persons database): Survey of 94,263 people General Household Survey (Households database): Survey of 25,303 households Income and Expenditure Survey 2005/6: Survey of 21,144 households Settlement data: National Dwelling Frame data: Stats SA Informal Settlements Atlas: NDHS LaPsis: HDA Eskom Spot Building Count Settlement data: Provincial and Municipal KZN North West City of Cape Town City of Johannesburg Ekurhuleni eThekwini
Page 1: Informal Settlements - Mpumalanga J
Page 5 and 6: Issue 1: Finding a proxy indicator
Page 7 and 8: Source: Census 2001 Note: Formal dw
Page 9 and 10: 9 Other issues to look out for when
Page 11 and 12: 11 2009/2010 Informal Settlements A
Page 13 and 14: 13 Spot Building Count: Eskom Defin
Page 15 and 16: 15 Agenda Data Sources Number and S
Page 17 and 18: Number of households (000s) 17 Esti
Page 19 and 20: 19 The number of households in a sh
Page 21 and 22: 21 Estimating the number of informa
Page 23 and 24: 23 Agenda Basic living conditions a
Page 25 and 26: 25 Access to electricity used for l
Page 27 and 28: 27 73% of households living in shac
Page 31 and 32: Source: CS 2007 Persons database 31
Page 33 and 34: 33 Average household size Average h
Page 35 and 36: According to the IES, 79% of househ
Page 37 and 38: Percentage of households 37 In 2007
Page 39 and 40: 39 Most employed individuals in sha
Page 41 and 42: 41 The proportion of households tha
Page 45 and 46: Source: GHS 2009 HH Note: The surve
Page 49 and 50: 67% of households living in a shack
Page 51 and 52: 51 Access to key points of service
Page 53 and 54:
Percentage of Households 53 22% of
Page 55 and 56:
Number of adults (000s) 55 86% of a
Page 57:
57 Most children in shacks not in b
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Informal settlements data - Mpumalanga - Housing Development ...

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