1. 11th Oslo WG Meeting Data Collection and Quality issues Mr R Kwinda
Deputy Director: Data Quality and Integrity

2. CONTENT What do we need Energy Statistics for? Definitions
Current state of demand and production of
Energy Statistics
(4) Dealing with the challenges
(5) Ministry of Energy Data collection activities

3. What do we need statistics for? 1
To monitor development 1
Resource
allocation
Detailed analysis
Design of
interventions
Programmes
Projects
Socioeconomic development
Statistics
Programmes
Budget
Monitoring
progress
Assess impact on
policies
programmes
Reporting
on outcomes
Activities (capacity)
Tasks
Outcome

4. What do we need Energy statistics for? 2
To facilitate democracy
About policies,
strategies,
targets
Promote
social debate
For advocacy of
view points
Statistical literacy
Economic literacy
Democracy
Statistics
Promotion in
Government
transparency &
accountability
For promoting
participation
Debate facilitation
Outcomes

5. Definitions
Official Energy statistics’ definition is statutory – see Statistics Act [No. 6 of 1999]
Practical criteria of official statistics
Must be used in the public domain
Are from organs of state and other agencies that are partners in the National Statistics System [NSS]
Are sustainable
Have met quality criteria as defined by the Statistician-General [SASQAF]
National statistics’ definition is implicitly statutory
Official statistics are statistics designated as official statistics by the Statistician-General within the provisions of the Statistics Act
National statistics are statistics not designated as official statistics
by the Statistician-General

6. The current state of Energy Statistics
Not “enough” energy statistics to meet user needs, especially sub-national or small area statistics
Lack of quality in statistics –
Inadequate quality drivers – enumeration frames
- geography
enumeration areas
address register
- business register
No common or shared standards – quality framework
- Statistical system fragmented – many isolated producers
duplication
respondent fatigue
- Statistics not comparable
- Many are irrelevant
Lack of capacity to produce them

7. Demand for information
Current state of demand and production of statistics
Demand for information
[user groups or
indicator categories]
Provincial & local levels
Official
Statistics
Unknown quality & Insufficient statistical skills
Uncertain quality
Insufficient supply of energy statistics
Insufficient statistical skills
Ministry of Energy
& Stats SA
Other producers
[departments,
SoE’s, etc]
Service providers

8. Dealing with the challenges: Choices 1
Do nothing – maintain status quo
Consequences
Not enough reliable evidence to
show the effectiveness of our programmes
inform planning – especially for vulnerable social groups
make policy decisions
At best we monitor inputs, processes & outputs
rather than outcomes & impact

9. Dealing with the challenges : Choices 2
Do nothing – maintain status quo
Consequences
Confuse users: whose statistics to use?
Depend on (often unrealistic) imputed data
by unknown statistical houses; or
from sample surveys by private sector/businesses and service providers
Waste resources through
duplication of effort
the cost incurred through using incorrect information

10. Dealing with the challenges : Choices 3 3
Do something – put in place a strategy: implement change
Consequences
We chose change:
To put organisational processes in place to address the THREE DEMAND ISSUES:
To have “enough” statistics for users
To ensure quality in the statistics (both extant and planned)
To facilitate the building of statistical capacity
The organisational process for meeting demand for
official statistics is the National Statistics System (NSS).

11. Collaboration (Ministry, StatsSA etc)
Energy Statistics transformation tool
Status quo
Collaboration (Ministry, StatsSA etc)
Desired state
User-producer
Partnerships
Insufficient
coverage
Meeting
User needs
transformation
Certification &
Standards (IRES, ESCM etc.)
Good quality
statistics
Uncertain
quality
transformation
Capacity
building
Inadequate
capacity
Statistical skills
coordination

12. Destination/outcomes
Demand is met
Adequate information
Reliable information
[quality, sustainable]
Sufficient skills
Feedback
Regulatory environment
Statistics Law
Governance structure
Quality standards
Advocacy programme
Code of conduct
Feedback
Coordination
Other producers
[departments, CSOs, etc]
Service
providers
Ministry of Energy

13. Data collected by the Dir.
Product
Data Sets & the Format
Sources
Frequency
Storage
Energy Balances
Coal – Spreadsheet ed
Imports & Exports: KG
Production, Transf. & End-Use: T
Gas-Spreadsheet ed
NON-Crude - Spreadsheet ed
Petroleum - Spreadsheet ed
Consumption Figures?
Electricity - Spreadsheet ed / Reports
Electricity Sales Figures: MWh / GWh
Generation Data + Sales Figures:
Energy Loses
Electricity Used For Own Generation
Electricity Used by Coal Mine
Electricity Used by Refineries
Electricity Imp & Exp
SARS
DMR
Sasol-Gas/Total/e-Gas?
SASOL-GAS
Oil Companies?
Eskom
NERSA
ESKOM
SAPIA
Annually
Annually?
Annually - Feb
Annually - Sept
Annually - July
Annually ?
ALL
DATA
STORED
IN THE
CENTRAL DATABASE

14. Data collected by the Dir. Cont..
Products
Data Sets & the Format
Sources
Frequency
Storage
Energy Prices Report
Coal – Spreadsheet ed
Average Local Sales (FOR)&Exports (FOB): R/t
Local Coal Prices: R/t
Gas Tariffs – Spreadsheet ed: c/GJ
Crude – Spreadsheet/SAPIA/CEF Reports
Crude Oil Prices: US$/bbl & US$/bbl mod
Crude Oil & Product Price: c/l
Petroleum – DOE Web
Brent & Mogas: US$/bbl & c/l
Petrol, Diesel, Paraffin Prices c/l
Liquefied Petroleum Gas (LPG): R/t
Economic Indicators – Spreadsheet/Web
Consumer Price Index CPI
Production Price Index PPI
Foreign Exchange Rates
Electricity: c/kWh – Spreadsheet/Web
Eskom Domestic Tariffs:
Eskom Revenue per Customer Category:
Mineral Resources
.SASOL-GAS
SAPIA & CEF
SAPIA
DOE
CEF
Stats SA
SARB
ESKOM
Annually
Annually – Jan/Feb
Monthly receipt
Annually & Monthly
Annually - Jul
ALL
DATA
STORED
IN THE
CENTRAL DATABASE

15. Data collected by the Dir. Cont..
Product
Data Sets & the Format
Sources
Frequency
Storage
Fuel Sales/consumption Report
Exploration data Template
JODI Oil and JODI Gas template
Fuel Sales Volume Data Spreadsheet ed
Exploration, African Petroleum producers association Data Spreadsheet ed
Crude Oil/ Natural Gas production , import and exports ; petroleum and Natural Gas Products Spreadsheet ed
Oil Companies
Oil companies and PASA (Petroleum Association of South Africa)
JODI Oil:
Oil companies
JODI Gas:
SASOL gas and Petro SA for
Monthly
Annually
ALL
DATA
STORED
IN THE
DATABASE

16. Data quality gaps……………
Quality gaps identified include, among others, incomplete data/questionnaire, wrong conversions used, wrong reference period, capacity, non-availability of data etc.
Data quality: Questionnaires are not always correctly populated by data providers. No thorough documentation of all processes and standards and ensure continuous quality assessment.
Not enough energy statistics is collected
Capacity to produce quality and statistics on a sustainable bases.

17. Addressing quality challenges……
National Energy Act of 2008 (Regulations on Mandatory provision of Energy Data)
Collaboration through MoU’s and SLA’s with other stakeholders
Standard Operating Procedures (SoP’s) for the Statistical Value Chain (SVC)
Oslo Working group on Energy Statistics/IEA and implementation of both the ESCM and the IRES
IMF’s SDDS & GDDS (Spatial Data Dissemination Standards & General Data Dissemination Standards) also helpful. New Database system (CEID) data collection questionnaires/forms) )

18. Addressing quality challenges….…..cont
Business Rules for data processing and compilation
Petroleum questionnaire training continuing (of data providers)
IEF/IEA and AFREC Training

19. END!