1. Compilation and Dissemination of Distributive Trade Statistics
by KONDWANI CHILOPA
NSO MALAWI

2. Outline Sources of data Coverage Classification Data collection
Processing of data
Quality control
Main outputs
Data users
Dissemination strategy

3. Sources data
NSO Malawi compiles its Distributive Trade Statistics based on data collected from enterprises through an Annual Economic sample survey (AES).
The names of the enterprises that are selected for the survey are obtained from the Business Information Register (BIR).
The BIR is a dynamic database containing information on all registered and unregistered enterprises know by the NSO to operate in Malawi.
The BIR contains names, addresses, physical location, type of activity, number of employees, turnover, value added and ISIC group of every business and it is updated on regular basis.

4. Coverage
The survey covers all sectors of the Malawi economy by type of activity.
The survey covers private, statutory bodies and public (government) enterprises engaged in production and sale of goods and services.
The survey selects large scale profit making enterprises while medium and small scale enterprises are selected on basis of critical employment size or annual turnover.

5. Classification
The United Nations International Standard Industrial Classification (ISIC, Rev 3) is used to classify economic activities.
The activities are classified at 2-digit, 3-digit and 4-digit levels.
However, some activities are combined to ensure confidentiality inline with the Statistics Act 1967.

6. Data collection
Personal delivery of questionnaires to respective respondents in the selected enterprises is used as a method of collecting information.
For enterprises that fail to respond but have the current annual company accounts available, their questionnaires are completed at our office using these accounts as a basis for estimates.
The reference period is 12 months and this is normally the enterprises financial year. A financial year is determined on the basis of bias of the months within the year. For example, any enterprise with its financial year ending 31th March will be considered to have operated in the previous year because the current year has only 3 months as compared to 9 months in the previous year.

7. Data processing Data is processed using Microsoft Excel
Mainly graphs and tables are computed

8. Quality control
On receipt of questionnaires, the following steps are undertaken
Sorting
Manual checks
Verification of responses where company accounts statements are available
Any problems found are corrected after consultation with the respondent.

9. Main Outputs
The major indicators compiled from this survey are the following;
Employment
Total income
Remuneration
Annual Capital Investments (Fixed assets)
Disposal of fixed assets
Turnover
Value added
Gross profit by sector
Stocks

10. Data users Government institutions National Accounts
Private researchers
Academia
Business community
NGO’s
Media
Investors

11. Dissemination methods
The AES indicators are released in the official NSO publication as follows;
A) Annual Economic Survey report
B) In addition data users make specific data requests that are provided either by , fax or post.
C) Users can also access the reports which are posted on the NSO official website:

12. Challenges faced
Late completion of questionnaires by respondents this in turn delays data entry and processing
No any distributive trade indices are produced

13. Thank you for very much for attention