Transcript Are we really an Irish coffee society?

Geographically Weighted Regression
The South Africa I know, the Home I understand
GIS Prediction
A Theoretical Semi-variogram of
Spherical Type and Its Characteristics
Theoretical Semi-variogram Models
Contour Plot -Kriging
The themes in the analysis
matrix of the status quo
analysis in phase 3 of the
SDF
Built Environment
Socio Economic
Bio Physical
Built Environment
Settlements
Local
Settlement Densities
Stats SA
Land Use Management
Local
Transportation
Transport Departments, ACSA
Water Infrastructure
Local
Waste Water Treatment
Local
Solid Waste Management
Local
Energy
Local Eskom
Telecommunications
Telkom
Human Settlements
Department of Human Settlements
Land
Aerial Photos
Secondary sectors
Local economic dept
Tourism
Local
Socio Economic Conditions
Demographic Profile
Stats SA
Health
Department of Health
Education
Department of Education /Stats SA
Employment
Stats SA
Occupation
Stats SA
Income levels
Stats SA
Land Reform
DRDLR
Cemetries
Local
Crime
SA Police Services
Property market patterns Estate Agents
Municipal Finances
Local
Bio Physical Environment
Geology and Soils
Surveyor General
Climate
South African Weather Service
Topography and slopes
Surveyor General
Hydrology
DWA/Local
Biodiversity
SANBI
Vegetation
SANBI
Conservation and Heritage
SANParks / Local
Agriculture
Department of Agriculture
Building Materials and
Department Minerals Resources /
Mining
Surveyor General
The Statistician-General says
The facts are:
According to Sowetan (February 2014, 18th, page 6) newspaper, Mampe Tafeni of V
section found out the hard way when her pit toilet crumbled while she was using it.
She almost drowned in the mess of the raw human waste until she was rescued by
a neighbour. Residents of the area 50 km from Bloemfontein face a daily struggle
with pit toilets that are old and crumbling.
The area has a population of 1411.
100% of the population reside in Formal residence.
100% (1411) of households have access to piped water inside dwelling.
96% (1348) of households have access to pit toilet, 1% (12) have access to flush toilet
64 %( 903) of people are employed
Link Census with other Information
• Release the causes of death.
– Show the socio economic conditions
– Intestinal diseases higher where no flush toilets
• Limpopo Death in toilet
– 90% brick houses
– 93% have electricity
– 93% have piped water in dwelling
– Flush Toilets ????????
The South Africa I know, the Home I understand
Census Data for IDP’s
• Email to IDP managers
• Many responded positively
• Some supercross not working
• Few never heard of supercross
• Key account management
• Staff leave
• Computers are replaced
• Continuous engagement with stakeholders.
The South Africa I know, the Home I understand
Small Area Estimation
• 10 years between Censuses
• Census 2001 data used for over 10 years
• Equitable share formula
• Planning
• Budgeting
• Stats SA performs Mid year estimates
• Provincial and National level
• District and Local municipality level
• Wards level
The South Africa I know, the Home I understand
Isibalo Workshops
• User group workshops
• Where users and come and present how they are using
our data for evidence based decision making.
• Presentations to benefit other users
• 2013 we held 8 provincial and 1 National workshop
– 200 presentations from users
– >1000 delegates that attended
• Awards Evening
• Fortunate index
• Politician Ward Councillor
• Monitoring and Evaluation
The South Africa I know, the Home I understand
Creating a Database of Africa Census data
• Proposed project funded by AFDB
• Merge some variables from all countries
– Age, Gender
• Many countries have common questions in
2010 round of census
• Possible recommendations for 2020 round
The South Africa I know, the Home I understand
Creating a National Data Archive -NADA
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Proposed project funded by PARIS21
Merge some variables from all departments
Data must be free for Research
All the data at a common location (Cloud)
Metadata is very important
• Catalogue of all metadata
• Similar to book of abstracts in libraries
• Citation of research papers
• Big Data is the new buzz word
The South Africa I know, the Home I understand
Role of Statistical literacy
• New vision and mission
– Marketing Division
• Selling data – Free data
• Free Training
• Supercross
• GIS (ArcMap)
• SAS (Analysis software, EXCEL)
• Free Analysis
• Marketing, NSSD, Provincial SSI
• Employing interns with honours in Statistics
The South Africa I know, the Home I understand
Thank you
Dr. Arulsivanathan Naidoo
[email protected]
082 880 1684
Special Census Request
[email protected]
The South Africa I know, the Home I understand