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United Nations Regional Seminar Promotion and Utilization of Census Results 24 March 2014. Dr Arulsivanathan Naidoo South Africa. The South Africa I know, the Home I understand. National Approaches for encouraging utilization of census data.
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United Nations Regional SeminarPromotion and Utilization of Census Results24 March 2014 Dr Arulsivanathan Naidoo South Africa The South Africa I know, the Home I understand
National Approaches for encouraging utilization of census data • Approaches taken to communicate the value of the Census results to the non traditional users • Strategies for the utilization by local municipalities • Promotion of Census at schools • Role of Statistical literacy • Utilization by the general public The South Africa I know, the Home I understand
Role of Statistics South Africa • Change of Vision and Mission • CRUISE ( Centre of Rural and Urban Innovation and Statistical Exploration) • Shape files • Province , Districts/Municipalities, Main Places, Sub Places • Data for each polygon • Attribute tables from Supercross • Key Account Management • Staff movement and new computers The South Africa I know, the Home I understand
Texture The South Africa I know, the Home I understand
Utilization by the general public • Segmentation of our Stakeholders • In 1996 Census we were selling the census results for $100 000 for one CD • In Census 2001 the data was free but mostly in our storerooms. • For Census 2011 we are taking the data to the people – FREE. • Looking at ways to make more non users become users The South Africa I know, the Home I understand
Promotion of Census at schools • Promoting Census @ Schools • Loading Census Data for teaching GIS • 24 Marks in this year’s matric is on GIS • Maths for Stats program in schools • Soccer for Stats program in Schools 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 30 interns with honours in Statistics The South Africa I know, the Home I understand
Census results to the non traditional users • How do we make non users to become users • Embassies in South Africa • Political Parties • Sporting Bodies • Thusong Centres ( Community Centres) • Ipads – Rombi • Cell Phones – Mobi The South Africa I know, the Home I understand
Utilization by local municipalities • Use of Census data in IDP’s • Training on Spatial Statistics • Bringing together the Municipal GIS team and the analysis team • Spatial Statistics • Clustering, Autocorrelation, hot spot analysis, Geographically weighted regression The South Africa I know, the Home I understand
Stakeholders Matrix • Miners 10% sample unit records from Census • Drillers Supercross data (create tables) • Harvesters Harmonized data (1996, 2001) • Prospectors Printed products, website • Tourists one figure, • Non Users people not using our data The South Africa I know, the Home I understand
Looking for a partner Supercross • Male • Zulu speaking • Age 22-25 years • Degree • Salary > R300 000 • Never married The South Africa I know, the Home I understand
segmentation The South Africa I know, the Home I understand
CRM • Customer relationship management database • Capture stakeholder information daily • Segment by geographical area • Segment by type of user • Release 10% Census. Who to contact and the area • Segment by release (event) • Invitation to releases, events, etc The South Africa I know, the Home I understand
Harmonised data • Harmonized Census data at ward levels for the years 1996 and 2001 to match 2011 boundaries. • Measure service delivery per ward. • Silvertown in 1996 had 98% bucket toilets • In 2011 the figure dropped to 96% • Information given to political parties The South Africa I know, the Home I understand
Spatial Statistics • Show data spatially. • Clustering of data. • Hot spot analysis. • Anselin Outlier analysis. • Ordinary least squares Regression • Geographically weighted Regression The South Africa I know, the Home I understand
High Schools in Cape Town The South Africa I know, the Home I understand
Sri Lanka Anselin Outlier Analysis The South Africa I know, the Home I understand
Hot Spot Analysis The South Africa I know, the Home I understand
Anselin Outlier Analysis The South Africa I know, the Home I understand
Regression Model Pass =58.92 +0.13 Employment +0.12 Telephone +0.09 Computer The South Africa I know, the Home I understand
Simpsons Paradox The South Africa I know, the Home I understand
Non Stationary Process The South Africa I know, the Home I understand
Geographically Weighted Regression The South Africa I know, the Home I understand
Partnership • Stats SA Marketing • Census 1996 data sold for R600 000 • Census 2011 data is free • Change in focus of Marketing division. • Evidence based decision making • Load data to all in municipality • Community ( IDP ward council) 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
Link Census with other Information • Release the causes of death. • Show the socio economic conditions • Intestinal diseases higher where no flush toilets 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