Transcript compilation of distributive trade statistics in uganda

COMPILATION OF
DISTRIBUTIVE TRADE
STATISTICS IN UGANDA
May 29th 2008
Anguyo William
Presentation
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Introduction
Importance of Distributive trade statistics
Source of Distributive Statistics .
Data collection Methodology.
Statistical Units
Data Items
Challenges
Dissemination
Future Plan
Conclusion
Introduction
• Distributive Trade Covers
– Wholesale Trade.
– Retail Sales and
– Repair and sales of Vehicles and Motor cycles.
Importance of Distributive
Trade Statistics
 Serves as an input data for National Accounts.
The Sector maintained an average contribution
to GDP of approximately:
– 11.1% 2005/2006 FY
– 11.4% in 2006/2007 FY
– 12.4% in 2007/2008 FY
 Provides employment data for labour market
 The statistics provide indicator such as value
added to measure the net output of this sector.
 Provide sample frame for other economic
Surveys
Sources of Distributive Trade
Statistics
• In Uganda up to now, there has been no system
of regular statistics specifically on the distributive
trade sector. However, information about the
sector has been collected from the following
sources:
 Economic Surveys.
 Administrative data from URA, Registrar
General’s Department etc.
Back ground of Economic surveys as
a sources of Distributive trade statistics
• Uganda has conducted economic surveys
since the 1960.The first know as the survey
of industrial production was conducted in
1964/65 with 1963 as reference year.
• Subsequent surveys were conducted
annually for 1964 to 1971(except for 1970)
covering Mining and Quarrying,
Manufacturing, construction and electricity
but did not cover distributive trade
Back ground (Cont)
• For the period 1972 to 1988 no successful
surveys similar to those in the fore going out
line were conducted .Until 1989 when
Census of Business Establishment was
carried.
• The 2000/2001 economic survey called
Uganda Business Inquiry was the tenth
survey conducted.
• The 1989 and 2000/2001 economic surveys
conducted covered distributive trade sector.
Data Collection Methodology
• The data collection was mainly done by personal
interviews using pre-designed questionnaires.
– The questionnaires were categorized into two thus:
– For the Formal Sector ( Businesses with Final Accounts
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– For the Informal Sector, (Businesses without Final
Accounts)
• The telephone method was only used to verify
some data provided by the establishments
• Interviewers were trained to extract data from the
Final Accounts
• Interviewers were deployed in teams of 6 each
with a team leader.
• They were also responsible for the coding of the
Data Collection Methodology, Cont
• More data was collected from the
Household based enterprises targeting the
informal businesses at the HH
• This was done by administering predesigned questionnaires to sampled
households.
Data Items
Data was collected from the following items:
 Identification Particulars such as Name of the
businesses, their addresses, location etc
 Main and secondary activities
 Employment and Costs of Staff (wages &
salaries, pension payments in kind etc)
 Current and Fixed Assets
 Purchase of goods and services and other
costs including bad debts etc
 Total Sales and Other incomes.
2000/2001(UBI)Indicators
• Retail Trade had the highest Value Added of 60
percent, Gross Output 61 percent; and
employed more persons 74 Percent; than other
sub sectors in distributive trade.
• Although Wholesale Trade had less businesses,
it had more Value Added and Gross Output than
the Repair of Motor Vehicles and Motorcycles.
Some Indicators Computed from the
2000/2001 UBI
Trade
Sector
Businesses
Employment
Number
Number
Value
Added
Gross
Output
,000(Shs)
,000(Shs)
Retail Trade
Wholesale
Trade
Repair of
Motorvehicles and
Motor-cycles
Total
98,878
161,405
444,011
714,376
3,302
21,143
165,846
267,907
5,306
36,101
125,082
189,143
107,486
218,649
734,939
1,171,426
Dissemination
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The dissemination policy is yet to be in place.
However the results of previous surveys were
disseminated to the stake holders and general
public Through:
Power point presentation
Print and Sending hard copies of the Reports to
the stakeholders and Libraries.
Press Release
Posting soft copies to UBOS web site.
Statistical Units
The statistical units used for previous
surveys Included:
 Retail and Whole sale out lets
 Garage out lets for motor vehicle and motor
cycles
 Departmental stores
 Stalls
 Gasoline etc,as specified in the ISIC
Challenges
Challenges faced in conducting the
Previous surveys:
 Lack of co-operation from Businesses
 Lack of Proper records on the side of
businesses.
 Reluctance in giving required data due to fear
of taxes
 Lack of funds to conduct more frequent
economic surveys.
Challenges(cont)
• Short operational period of the business,
some times only 6 months.
• Covering both household based and nonhousehold based business.
Future Plans
• Conduct another round of Uganda Business
Inquiry, covering the trade sector
• Conduct Annual Business Inquiry after every
two(2) years.
• Compute short time indices for distributive
trade on quarterly basis if funding secured.
Conclusion
Although Distributive Trade Statistics is a
difficulty area to handle, we managed to collect
the required data and computer indicators in
1989 and 2000/2001 economic survey. We are
yet to compile indices of Distributive Trade.
Thanks