BOTSWANA COUNTRY REPORT Manufacturing Statistics Workshop May 4 – 7, 2009 Lusaka, Zambia Ruth K....
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Transcript of BOTSWANA COUNTRY REPORT Manufacturing Statistics Workshop May 4 – 7, 2009 Lusaka, Zambia Ruth K....
BOTSWANA COUNTRY REPORT
Manufacturing Statistics WorkshopMay 4 – 7, 2009Lusaka, Zambia
Ruth K. Mothibi
BOTSWANA COUNTRY REPORT
Manufacturing Statistics WorkshopMay 4 – 7, 2009Lusaka, Zambia
Ruth K. Mothibi
Presentation OutlinePresentation Outline
• Overview of Botswana• Organizational Structure of the CSO• Sources & Estimation Methods of
Manufacturing Statistics• Dissemination of Manufacturing
Statistics• Challenges
BOTSWANABOTSWANA
Botswana - FactsBotswana - Facts
• Land locked – surrounded by 4 countries• Total Area: 582 000 km2
• Population: 1,680,863 (2001)• Diamonds remain the main export (48%
- Feb 2009)• Per Capita GDP: P14,246.6 (2008)• Economic Growth Rate: 2.9%(2008)• Inflation Rate: 11.7%(March 2009)
Organizational Structure of the CSO
Organizational Structure of the CSO
A dept. in MFDPMandated through the Stats. Act (Cap
17:01) & Census Act (Cap 17:02) of the Laws of Botswana to produce official national Statistics
Headed by a GS, who is responsible to the PS through SEFP
The CSO consists of a head office in Gaborone and 1 regional office in Francistown.
Organizational Structure of the CSO cont.
Organizational Structure of the CSO cont.
CSO
Economic Statistics
Social Statistics
Corporate Services
Organizational Structure of the CSO cont.
Organizational Structure of the CSO cont.
Economic Statistics
Transport & Industrial Stats.
National Acc. & Labour Stats.
Prices, Trade & ICT Stats.
Data SourcesData Sources
Census & Surveys
Administrative Data
Data Sources Cont.Data Sources Cont.
Census
Economic Census (Census of Enterprises & Establishments)
Data Sources Cont.Data Sources Cont.
SurveysSurvey of Industrial Production
Survey of Recent TrendsSurvey of Employment & Employees
Annual Economic Survey
Data sourcesData sources
● Survey of Industrial Production
♦ Quarterly♦ Monthly data on quantities & value of
commodities produced♦ Mail out (end of the reference period)♦ Establishments with 50 or more
employees all included♦ Establishments with less than 50
employees sampled
Data Sources Cont.Data Sources Cont.
● Survey of Employment & Employees♦ Quarterly♦ Number of employees (gender, citizenship)♦ Wages & salaries ♦ Mail out (end of the reference period) ♦ Establishments with 50 or more employees
all included ♦ Establishments with less than 50 employees
sampled
Data Sources Cont.Data Sources Cont.
●Survey of Recent Trends♦ Quarterly♦ Revenue/Sales, Inventories ♦ Mail out (end of the reference period) ♦ Establishments with 50 or more
employees all included ♦ Establishments with less than 50
employees sampled
Data Sources Cont.Data Sources Cont.
● Annual Economic Survey
♦ Annual ♦ Income, expenditure, inventories, fixed
assets, financial assets and liabilities♦ Mail out (end of the reference period) ♦ Establishments with 50 or more employees
all included ♦ Establishments with less than 50 employees
sampled
Data Sources Cont.Data Sources Cont.
● Census of Enterprises & Establishments
♦ Once every five year
♦ Income, expenditure, inventories, fixed assets, financial assets and liabilities, quantity & value of commodities produced, number of employees etc
Compilation MethodsCompilation Methods
Compilation based on internationally recognized methodologies UN International Recom. for Ind. Stats. Manual 1968 & 1993 SNA
Classifications ISIC Rev 3 HS
Plans are underway to implement ISIC Rev 4 and CPC
Statistics ProducedStatistics Produced
• General Industrial Statistics– Number of establishments (geographical area,
employment, industry)– Employment, wages and salaries– Output, value added, gross fixed capital
formation
• Commodity Production Statistics
DisseminationDissemination
• Dissemination Seminars • Website: www.cso.gov.bw• Stats Briefs• Publications• E-mails• Soft copies
ChallengesChallenges
• Inadequate expertise in specialized areas/IT
• Low/non response• lack of central depository stations
for administrative data Lack of coordinative machinery for
administrative data
WayForwardWayForward
• Centralized economic statistics data collection to reduce respondent burden
• Centralized CSO database linked to other govt. databases
• Harmonized codes, concepts and definitions in databases linked to the CSO one
• Capacity building
Thank YouQuestions and/or Answers
‘The Road to a Capable State’‘The Road to a Capable State’