1. South Africa System of data collection and dissemination of manufacturing statistics May 2009 The preferred supplier of quality statistics

2. 2 Statistical Value Chain 7.3 Produce “Quality Statement.” 1 Need 2 Design 3 Build 4 Collect 5 Process 6 Analyze 7 Disseminate 8 Archive 1.1 Determine need for information 1.2 Consult & confirm information requirements 1.3 Establish output objectives 1.4 Check data availability 1.5 Prepare business case 2.1 Outputs 2.2 Frame and sample methodology 2.4 Data collection 2.5 Statistical processing methodology 2.6 Processing systems and workflow 3.1 Data collection instrument 3.2 Process components 3.3 Configure workflows 3.4 Test end-to- end 3.5 Finalise production systems 3.6 Draw sample 4.1 Set up collection 4.2 Run collection 5.2 Load data into processing environment 5.1 Standardize 5.3 Integrate data 5.1 Classify and code 5.4 Edit and impute 5.5 Derive new variables 6.2 Calculate aggregates 6.1 Acquire ancillary information 6.3 Prepare draft outputs 6.4 Validate 6.5 Describe and explain 6.6 Disclosure control & Anonymise 6.7 Finalize outputs for dissemination 7.1 Update output systems 7.2 Produce products 7.4 Manage release of products 7.6 Manage customer queries 7.5 Market and promote products 8.1 Define archive rules 8.2 Manage archive repository 8.3 Preserve data and associated metadata 8.4 Dispose of data and associated metadata 5.6 Calculate weights 2.3 Tabulation Plan / Variables 9 Audit 9.1 Gather inputs for audit 9.2 Prepare audit report 9.3 Quality plan 2.7 Detailed project plan

3. The preferred supplier of quality statistics What needs are satisfied? 3 Survey namePurpose 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 statisticsCollects detailed financial information on the structure of the industry. Used for the compilation of annual GDP

4. The preferred supplier of quality statistics Coverage 4 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

5. The preferred supplier of quality statistics Population and sample 5 LSS Manufacturing Frame 2008LSS Manufacturing Sample 2008 Size Group Population Size Population Turnover R’million % Population Turnover R’millionSample Size Sample Turnover R’million Weighted Sample Turnover R’million % Weighted Sample Turnover R’million 12 5281 343 07985.92 5281 343 079 86.7 24 831121 3907.84 831121 390 7.8 36 43952 0193.31 50912 31448 6733.1 442 75546 2853.01 8574 28435 2952.3 Total56 5531 562 773100.010 7251 481 0671 548 437100.0 For MPS, sample is approximately 3000, after factor adjustment

6. 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 statistics6 Data collection & Dissemination

7. The preferred supplier of quality statistics Data collection 7 Survey namePeriodicityLevel of detailData 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-digitIncome 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 statisticsAnnual, within 12 months of the reference period 2-digitIncome and expenditure, capital expenditure

8. The preferred supplier of quality statistics Challenges and improvements 8 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

9. The preferred supplier of quality statistics 9 End – Thank you Email: Michaelm@statssa.gov.za