1. Geographically Weighted Regression The South Africa I know, the Home I understand

2. GIS Prediction

3. A Theoretical Semi-variogram of Spherical Type and Its Characteristics

4. Theoretical Semi-variogram Models

5. Contour Plot -Kriging

6. The themes in the analysis matrix of the status quo analysis in phase 3 of the SDF Built Environment Socio Economic Bio Physical

10. 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

12. Link Census with other Information The South Africa I know, the Home I understand 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 ????????

13. 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

14. 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

15. 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

16. Creating a Database of Africa Census data The South Africa I know, the Home I understand 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

17. Creating a National Data Archive -NADA The South Africa I know, the Home I understand 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

18. Role of Statistical literacy The South Africa I know, the Home I understand 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

20. Thank you Dr. Arulsivanathan Naidoo aruln@statssa.gov.za 082 880 1684 Special Census Request info@statssa.gov.za aruln@statssa.gov.za The South Africa I know, the Home I understand