Statistics, A conduit of Trust Dr Pali Lehohla Statistician-General

Contents Statistical development Governance Key Achievements Risks Value add Financial standing and impact Impact on strategy

Invitation

Statistical development over the past 22 years

Governance and audit trail 2006/07 2007/08 2008/09 2009/10 2010/11 Unqualified 2008/09 Governance and audit trail (over the past 10 years) Unqualified Unqualified 2009/10 Unqualified 2010/11 2011/12 Unqualified Qualified 2012/13 2013/14 Unqualified Clean 2014/15 2015/16 Clean Clean

Delivery of key projects 2015/16 2016/17 Citizen Satisfaction Survey (KZN) Planning for National CSS Community Survey In Progress GDP(E) In progress Integrative planning tools Digital work place Delivered in CSS Delivered in CS New Building Legislative reform 1st quarter Delivery of key projects

Delivery 1st quarter 28% spending 8,9% vacancy rate 41,4% female in SMS posts 1,2% staff with disabilities

International Statistical development African Statistical Development AU: Technology and Financing strategies CRVS support to African countries Young African Statistician Conference Indicators for Agenda 2063 Global Statistical Development Indicators for SDGs Won the bid to host UN World Data forum

Risks In the system Reputational Risk Financial Risk Earned the status: Statistics, a conduit of trust Sustaining and managing this reputation Sustained delivery of quality products Transparency in what we do Financial Risk Sustained delivery of quality products Better efficiency through innovation Funding emerging measurement priorities

Position of Stats SA IES GDP(E) Funded from savings in CoE Risk: cannot reweight & rebase CPI CPI will become irrelevant over time Adverse impact on: Inflation rate, Economic growth, poverty line and indicators

Collection, processing, analysis, dissemination Statistical Coordination & partnerships Growth through Coordination e.g. Agriculture Census (EC) CSS Administrative records Collection, processing, analysis, dissemination National processing centre Statistical information frame for the State Risk: Incoherent policy decisions & outcomes

Geography Statistical Spatial information frame Constitutional Judgement: Addresses for all Investment: Allocation of addresses Outcome: Integrated spatial information frame Value add: Integrated GIS for the state Risk: Duplication of GIS effort Impact: Incoherent Spatial planning & development

Value add through research and integration Statistical tools e.g. SAM, GAF, ZIPf Integrated policy research and analysis Investment: Statistical expertise for increased knowledge and insight in planning, policy development and monitoring policy outcomes Value add: Identify inefficiencies in the system Risk: Incoherent policy decisions & outcomes

Overview: SUT: An annual industry by product matrix showing what product are supplied by each industry for use by same or other industry GAF: Provides periodic scenarios for improving incomes through labour productivity, labour absorption and terms of trade SAM: Identifies beneficiaries of policy outcomes NA: Provides value add on 10 industries and 300 sectors quarterly Uses space periodically as a unifying tool of plans, policy actions and outcomes

Legislative reform Statistical coordination mechanisms Statistical geography Statistical coordination mechanisms Legislative reform Data revolution State wide statistical service Institutional arrangements and protocols

FINANCIAL standing Historical cost cutting measures Finance Control Committee: oversee daily request 1. Travel and subsistence 2. Advertising 3. Venues 4. Stationary and printing 5. Strategic sourcing including negotiating lower prices 6. Fieldwork: transport allowances, accommodation, rate of pay FINANCIAL standing What have we done with the savings from vacancies Strategic decision to fund priorities 1. IES/LCS 2. Master sample 3. Shortfall on devolution of funds

FINANCIAL impact CoE has been used to fund: Key priority projects e.g. IES/LCS Shortfall in goods and services Devolution of funds Y1: Management will take due care not to overspend on allocation of CoE (Y1 reduced by R107 million) Y2: Reduction of further R57 million will impact on “warm bodies” – not within Stats SA’s ambit FINANCIAL impact

IMPACT on strategy IES/LCS Statistical Geographic Frame Inability to reweight and rebase CPI IMPACT on strategy Statistical Geographic Frame Duplication of GIS efforts in the country will continue GDP(Expenditure) Inability to sustain investment made over the past 4 years International Standard for Industrial Classification (ISIC4) Credibility of official statistics will be challenged; Impact on risk rating; Accurate measurement of policy outcomes Statistical coordination Measurement of policy outcomes questionable Innovation and modernisation agenda Will loose gains made and efficiencies created in the system

Invitation

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