SLIDE 1 How do the ideal census
- utput areas for South Africa
look like?
Helene Verhoef 5 September 2019
SLIDE 2
Introduction Historic statistical geographies Output geographies International trends Research done at Statistics South Africa Characteristics to consider Discussion
SLIDE 3
Importance of census data Why not disseminating data on EA level ? Designed to execute a census Workload to be done in 21 days Not the same size – pop / area Population density Terrain plays a role Enumerator walking or driving Literacy and language Time
Introduction
SLIDE 4
Output geographies
Output geographies are the areas that are used to geo-reference statistical data – statistical geography Standard output geographies Non-standard output geographies National Magisterial districts Province Traditional Areas District Municipalities Metros Wards Local Municipalities Voting districts Main places Sub-places Small Areas Enumeration Areas (Enumeration Areas)
SLIDE 5
Historic statistical geographies for South Africa
Pre 2001 Administrative areas: Province Magisterial districts Urban and Rural Towns 1991 TBVC and sampled areas 1996 Magisterial districts, EAs with place names, Lumped EAs 2001 Administrative areas: Province District Municipalities Local Municipalities and Metros Place name areas: Main places and Sub-places Small Areas
SLIDE 6
International trends
Mixture of administrative and statistical units Refer to Annexure A Annexure A.pdf
SLIDE 7 International building blocks
Building block type Country Country -specific name Scale/size (year) Method of creation Postcode England and Wales Unit postcode Ave 17 delivery points (2001) Automated Street block Australia Mesh block Ave 30-60 dwellings (2011) Hybrid New Zealand Mesh block Ave 97 people (2006) Manual USA Census block Ave 28 people (2010) Hybrid (mostly automated) Grid squares Denmark National square grid (100 m) Ave 6 households (2003) Automated Finland Grid cells (250 m) Mean 16 people (2010) Automated
SLIDE 8
Standardised building block potential
UK motivation for output areas: Temporal stability, min pop (reduced area suppression), max pop (uniformity), intuitive (visible) boundaries, compact shape and homogeneity
SLIDE 9
Investigation done at Statistics South Africa
Ingredients Address / structure coordinates – points Road centre lines / Grid
SLIDE 10
Urban
SLIDE 11
Traditional areas
SLIDE 12
Farms
SLIDE 13 Gridded population
1996 2011
SLIDE 14
Gridded population : 2011 SAs
SLIDE 15 Characteristics to consider for lowest level output areas
Should they ideally be:
- as small as possible in terms of physical area
and population size,
- as compact in shape as possible,
- as homogeneous as possible – tenure /
dwelling type
- fall within administrative boundaries
- fall within place name areas
- be contiguous or holes accepted
- null values accepted
SLIDE 16
Discussion
These criteria will most likely not be enforceable all at once Need to prioritise in order of importance: absolute enforcement to relaxing
SLIDE 17
Contact: helenev@statssa.gov.za +27 012 3108952 +27 0828882521 Skype: verhoef_2