st quarter 201617 Presentation to Portfolio Committee Pali Lehohla StatisticianGeneral Stats SA 1 st quarter 201617 Contents Policy Statistics and Decisionmaking The Work Programme ID: 621342
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Slide1
Stats SA: 1st quarter 2016/17
Presentation to Portfolio Committee
Pali
Lehohla
Statistician-GeneralSlide2
Stats SA: 1st quarter 2016/17
Contents
Policy, Statistics and Decision-making
The Work
Programme
Financial position of Stats SA
Investing in relevance for better decisionsSlide3
Stats SA: 1st quarter 2016/17
Mandate
for Official Statistics
Global
National
Conti-
nentalSlide4
Stats SA: 1st quarter 2016/17
Policy
and Statistics
Global
National
Conti-
nentalSlide5
Stats SA: 1st quarter 2016/17
Who determines what has to be measured?
Who defines what has to be measured?
Who determines what inputs & outputs?
Who
measures inputs & outputs
Who measures outputs and outcomes?
Who measures impact?
Planning, implementation, monitoring and evaluation systems
Who determines outcomes?
Cabinet
NDP
MTSF
State institutions
Cabinet
Other state institutions
Data revolution
Emerging data needs
Policy research
Citizenry
Stats SA
Stats SA
Stats SA
Stats SA
Policy, Statistics and Decision-makingSlide6
Stats SA: 1st quarter 2016/17
P
lanning
(baseline information for NDP)
M
onitoring and Evaluation
(measuring development & impact)
P
olicy development
(rationale for better policies)
D
ecision-making
(decision-making in government, business & the public)
Policy, Stati
stics and Decision-making
For
USE
inSlide7
M
easuring the Economy
M
easuring Society
The Work
Programmme
S
trategic context & intentSlide8
DATA EXPLOSION
New
data ecosystem
Integrative power of location-based data
Rapid advancement in technology
Growing policy agendas
Changing user demand
Are we a
c
apable
organisation that can respond
Changing external environmentSlide9
Mergers, networks
Phase 6
Extra-organizational solutions
Growth through alliances
Environmental change
People
disoriented and disenfranchised,
'active inertia'
tends to pull managers back to following established patterns of behaviour
Where do we come from?
Beyond 2020Slide10
Delivery of key projects
10
Community Survey
CS results launched
in June
GDP(E)
Delivered in
June
Integrative planning tools
Tools developed
New Building
Moved in
August
Digital work place
Delivered in
CSS and CS
Reweighting CPI
Delivered in
January
Legislative
reform
In progressSlide11
T
a
pre-audit to ensure predictability
Transparency
T
is
action in unison to drive change for the better
Transformation
R
allow
parties to read the same facts
Results
A
taking
responsibility and accepting consequences
Accountability
S
are numerical facts for statecraft
Statistics
57
Strategic
intent: Use at the centre
Outcome: Use of evidence in planning, policy, M&E and decision-makingSlide12
IDP
DGDP
PGDP
MTSF
(Sector plans)
Regional
(SADC)
Agenda
2063
SDG
National Development Plan
Integrated
indicator
framework at the centre
What do we want to achieveSlide13
Embed statistics in planning, M&E systems and policy processes
Integrate planning
Integrate content design
Integrated indicator framework
Integrate
disse-mination
Integrated products
Getting the
basic statistics
right
User needs
How: Integration by Design
Modernise
& integrate business processSlide14
Strategy implementation
Integration
geospatial
1
3
2
4
by design
link to location
modernise
go digital
re-engineer
align demand, method, output
rationalise
5
Align staff
to prioritiesSlide15
Measuring the Economy
Statistical
Reports
: 247
Employment
Mining
Transport sector
Consumer Price Index
Prices
Producer price Index
Communication
Wholesale Trade
Buildings
Government
Electricity
Primary Sector
Trade
Finances
Provincial spending
GDP
Services
Forestry
Manufacturing
AgricultureSlide16
Statistical Reports: 69
Population
Labour
Births
Deaths
CRIME
Causes of death
Youth unemployment
Poverty
Marriages
Divorces
Gender
Housing
Single headed households
Access to Water
Access to Electricity
Access to Transport
Vulnerable groups
Health
Education
52
Measuring SocietySlide17
S
tats SA at risk
L
ooking ahead
The Work
Programmme
F
inancial positionSlide18
R70m once off
Financial
Position
of Stats SA
Cost cutting measures introduced as early as 2008/09
2017/18
2018/19
Savings from
CoE
:
used to fund mission critical priorities including GDP(e), IES/LCS, Master sample
etc
18
2019/20
CoE
: R123 mil
G&S: R16 mil
Cap: R3 mil
CoE
:
R180
mil
G&S:
R19
mil
Cap:
R3
mil
CoE
:
R196 mil
G&S:
R24
mil
Cap: R3 mil
Projected overspend on “warm bodies”
Stats SA will need to reduce
“warm bodies”
Stats SA will need to reduce
“
warm bodies”
R141 million
R201 million
R224 million
ENE: Total cut
R100 million
R143
million
R147
million
Projected
overspend Slide19
Financial
Position
of Stats SA
2017/18
2018/19
2019/20
R2 146.3 billion
R2 248.8 billion
R2 309.1 billion
ENE allocation
R1 352.2 billion
CoE
allocation
R1
428.5
billion
1
444.9 billion
% cut in
CoE
ENE cut
CoE
: R123 mil
G&S: R16 mil
Cap: R3 mil
Total: R141 mil
CoE
:
R180
mil
G&S:
R19
mil
Cap:
R3 mil
Total: R201 mil
CoE
:
R196 mil
G&S:
R24
mil
Cap: R3
mil
Total: R224 mil
9
%
13%
Vacancy rate as at 31/03/2017
10,9
%
13%
Used vacancies to appoint contract staff for increase in household survey sampleSlide20
20
Stats SA at
Risk
Warm bodies not affordable
Cannot fill critical vacancies
Key indicators will be affected
GDP, CPI & SEEA
Quality of basic statistics weakens over time – response rates, timeliness
Risk measurement of NDP & MTSF
Adverse
impact on
planning, policy decisions,
m
easuring impact and International comparability
Discontinue certain statistical productsSlide21
21
Looking
Ahead
Secure financial position
Legislative reform
Getting the basic statistics right
Invest in
modernisation
& innovation
Integrated indicator framework for SA
Value-added products for increased relevanceSlide22
58
P
Information about the economy
Prosperity
P
Information about people and society
People
P
Information about the environment
Planet
Thank You