South Africa System of data collection and dissemination of manufacturing statistics May 2009 The...
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South Africa System of data collection and dissemination of manufacturing statistics May 2009 The preferred supplier of quality statistics
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South Africa
System of data collection and dissemination of manufacturing statistics
May 2009
The preferred supplier of quality statistics
The preferred supplier of quality statistics 2
Statistical Value Chain
7.3Produce “Quality Statement.”
1Need
2Design
3Build
4Collect
5Process
6Analyze
7Disseminate
8Archive
1.1Determine need forinformation
1.2 Consult & confirm information requirements
1.3Establishoutputobjectives
1.4Check dataavailability
1.5Prepare business case
2.1Outputs
2.2Frameand samplemethodology
2.4Datacollection
2.5Statistical processing methodology
2.6Processing systems and workflow
3.1Datacollectioninstrument
3.2Process components
3.3Configure workflows
3.4Test end-to-end
3.5Finalise production systems
3.6Draw sample
4.1Set up collection
4.2Run collection
5.2Load data into processing environment
5.1Standardize
5.3Integrate data
5.1Classify and code
5.4Edit and impute
5.5Derive new variables
6.2Calculate aggregates
6.1Acquireancillary information
6.3Prepare draft outputs
6.4Validate
6.5Describe and explain
6.6Disclosure control & Anonymise
6.7Finalizeoutputs for dissemination
7.1Update output systems
7.2Produce products
7.4Manage release of products
7.6Manage customer queries
7.5Market and promote products
8.1Define archive rules
8.2Manage archive repository
8.3Preserve data and associated metadata
8.4Dispose of data and associated metadata
5.6Calculate weights
2.3Tabulation Plan / Variables
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Audit
9.1Gather inputs for audit
9.2Prepare audit report
9.3Quality plan
2.7Detailed project plan
The preferred supplier of quality statistics
What needs are satisfied?
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Survey name Purpose and Use
Manufacturing: Production and sales
Calculate production Indices and level of sales. Short term monitoring of economic trends and input to the QGDP compilation
Manufacturing Industry, Large sample survey
Collects detailed financial information on the structure of the industry. Used for refreshing of PPI commodity basket, planning, policy and competitiveness, benchmarking of NA
Manufacturing: Utlilisation of production capacity by large enterprises
Assess the degree of capacity constraints, serving as a business cycle indicator
Annual financial statistics Collects detailed financial information on the structure of the industry. Used for the compilation of annual GDP
The preferred supplier of quality statistics
Coverage
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This survey covers the following income tax registered private and public enterprises that are mainly engaged in manufacturing:
(i)Food products and beverages
(ii)Textiles, clothing, leather and footwear
(iii)Wood and wood products, paper, publishing and printing
(iv)Petroleum, chemical products, rubber and plastic products
(v)Glass and non-metallic mineral products
(vi)Basic iron and steel, non-ferrous metal products, metal products and machinery
(vii)Electrical machinery and apparatus
(viii)Radio, television and communication apparatus and professional equipment
(ix)Motor vehicles, parts and accessories and other transport equipment
(x) Furniture and other manufacturing divisions
The preferred supplier of quality statistics
Population and sample
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LSS Manufacturing Frame 2008 LSS Manufacturing Sample 2008
Size GroupPopulation
Size
Population TurnoverR’million
% Population TurnoverR’million Sample Size
Sample TurnoverR’million
Weighted Sample
TurnoverR’million
% Weighted Sample
TurnoverR’million
1 2 528 1 343 079 85.9 2 528 1 343 079 1 343 079 86.7
2 4 831 121 390 7.8 4 831 121 390 121 390 7.8
3 6 439 52 019 3.3 1 509 12 314 48 673 3.1
4 42 755 46 285 3.0 1 857 4 284 35 295 2.3
Total 56 553 1 562 773 100.0 10 725 1 481 067 1 548 437 100.0
For MPS, sample is approximately 3000, after factor adjustment
o Questionnaires for the Monthly manufacturing - not updated regularly
o Questionnaire for the LSS and AFS – annually and periodically updated
o LSS – Updates mainly focus on improvements for detailed expenditure information and commodity breakdown
o Samples of questionnaires have been made available to the organizers
o Mainly surveys are conducted via, post and telephone follow ups – ad hoc field visits conducted
o SIC (ISIC rev.3) is used and CPC ver.1.1
o Survey are published through the website, hard copies and sometimes a media briefing is held
o The dissemination policy – all users gets the information at the same time, no pre release to the Ministry
The preferred supplier of quality statistics 6
Data collection & Dissemination
The preferred supplier of quality statistics
Data collection
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Survey name Periodicity Level of detail Data items
Manufacturing: Production and sales
Monthly, 6 week after the reference period
3-digit (grouped) Production indices and value of sales
Manufacturing Industry, Large sample survey
Every 3 years, within 12 months of the reference period, reports, within 24 to 28 months
3/4-digit Income and expenditure, capital expenditure, employment
Manufacturing: Utlilisation of production capacity by large enterprises
Quarterly, within 10 weeks of the reference period
2/3-digit % utilisation and reasons for under-utilisation
Annual financial statistics Annual, within 12 months of the reference period
2-digit Income and expenditure, capital expenditure
The preferred supplier of quality statistics
Challenges and improvements
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o While sample are rotated, response burden is still a problem for large enterprises
o Lack of provincial/regional data
o Continuous need for detailed data from users
o The adoption of new international standards, like the ISIC, Rev 4
o Limited informal sector data
o Improvements in questionnaire design – incorporation of new products
