1. Fourth Project Support Meeting and Workshop on Informal Sector Statistics
13-15 November 2017
Bangkok, Thailand

2. Informal Sector Statistics in Myanmar
Ms. Thet Htar Nwe
Assistant Director
Central Statistical Organization
Ministry of Planning and Finance
Myanmar

3. Outline of Presentation
National Strategy for Development Statistics (NSDS)
Strengthening Role of CSO
Survey Conducted by CSO
Myanmar Living Conditions Survey ( )
Myanmar Public Perception Survey (2017)
Informal Sector Survey (2009, 2014)
Recent Statistical Development
Producing Economic Statistics
Statistical Information Access
Country Specific Issues in Statistics
SDG Indicators related Employment
Development Plan
Cooperation Expected from Development Partners
What’s need to be done?
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4. National Strategy for Development Statistics (NSDS)
NSDS work with the following 10 cluster groups to develop implementation action plan.
National Account Statistics Cluster
Survey Coordination and Statistical Standard Cluster
Vital Statistics Cluster
Agriculture and Rural Sector Statistics Cluster
Energy Statistics Cluster
Environment Statistics Cluster
Trade and Investment Sector Statistics Cluster
Macroeconomic Monitiring and Financial Statistics Cluster
Social Statistics Cluster
Demographic Statistics Cluster

5. Strengthening Role of CSO
Committee on Data Accuracy and Quality of Statistics
Peer Review on Myanmar National Statistical System
National Strategy for Development Statistics (NSDS): Part I of Core Strategies completed and Part II of Long Term Implementation Plan is now final consultation (2017 to 2027).
CSO is responsible for monitoring and evaluation of the county’s implementation for the SDGs framework
SDGs Data Assessment Report
SDG Indicator Baseline Report (Launched)
Training Needs Assessments (with UNDP)
To Implement Myanmar Standard Industrial Classification (MSIC)
To Implement International Comparison Program (ICP) supported by ADB
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6. Surveys Conducted by CSO
Household Income and Expenditure Survey (HIES)
The Household Assets and Liabilities Survey (HALS)
The Informal Sector Survey (ISS)
Survey on Evaluation of Vital Registrations Systems (SEVRS)
National Mortality Survey (NMS)
Manufacturing Survey on the Private Industrial Zones
Price Survey
Wholesale Trade Survey
Myanmar Business Survey (2015)
Micro Small and Medium Enterprises Survey (MSMEs)
Myanmar Living Conditions Survey – MLCS ( ) nearly finish
Planning to conduct Myanmar Public Perception Survey (2017)
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7. Myanmar Living Conditions Survey - MLCS (2016-2017)
CSO is conducting the Myanmar Living Conditions Survey -MLCS ( ), provided by World Bank and UNDP
Survey started conducting in December, 2016 and the process will finish to December, 2017
12 months Field Work by quarterly to avoid seasonal impact/variation
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8. Objective of MLCS
To provide updated estimates of poverty and living conditions at the state/region level, to inform national data needs and selected SDG targets.
To construct consumption weights for the national CPI basket, potentially with rural/urban and state/region level breakdown
To estimate private consumption expenditure (PCE) for the System of National Accounts (SNA)
To build professional, long-term survey capacity by dedicated government survey staff and support the enhancement of CSO’s role as the center of knowledge in (Government of Myanmar) for sample survey implementation
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9. Sampling Method Two-stage stratified clustered sampling
Sampling frame was used by 2014 Census
Sample size is around 13,800 households to cover all people living in Myanmar
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10. Raised awareness by distribution this Pamphlet
Listening the Voice of the People to improve their lives
Raised awareness by distribution this Pamphlet
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11. Myanmar Public Perception Survey (2017)
Statistical objective:
To measure the public perception of services provided by staff working for the national civil service
Institutional and capacity objective:
Build professional, long-term survey
capacity by dedicated government survey staff
Sustainable Development Goal 16 promotes peaceful and inclusive societies for sustainable development, and effective, accountable and inclusive institutions at all levels.
MPPS will inform GoM on current perceptions and where improvement is needed
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12. Informal Sector Survey
Objectives
To obtain information on the Informal Employment and Informal Income
It is also intended to use the GDP calculation when the method of 1993/2008 SNA is used
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13. Methodology Informal sector
- a group of production units (household enterprises or, equivalently, unincorporated enterprises owned, under 5 workers by households.)
Informal own-account enterprises
household enterprises owned and operated by own-account workers.
alone or in partnership with members of the same or other households.
depending on national circumstances.
not registered under specific forms of national legislation
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14. Survey Items Covered • Particulars of Household Members
- Relationship to Head of Household
- Sex
- Age
- Educational Status
- Employment Status
• Household Income
• Particulars of Informal Sector
- Place of Work
- Main Business Activity
- Secondary Activity
- Informal Income
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15. Informal Sector Survey (Cont’d)
Questionnaire
The questionnaire design was prepared by CSO, Myanmar and the recommendations from the JICA experts have been got during the Strengthen Project by JICA to CSO.
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16. Informal Sector Survey (Cont’d)
Sampling Design
Stratified three-stage random sampling design
First-stage sampling was based on township
Second-stage sampling was based on wards in urban area and village tracts in rural area
Third-stage sampling was based on household
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17. Informal Sector Survey (Cont’d)
Field Operation
Staff of Central Statistical Organization was assigned to supervise the survey works in each township. The supervisors from CSO arranged 3 days training course for enumerators in each and every township.
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18. Informal Sector Survey (Cont’d)
Item Informal Sector Survey (2009) (2014) 1. Number of State and Region Number of predetermined townships Number of random sample townships Number of sample townships surveyed Number of sample households Number of sample urban household Number of sample rural household Number of supervisor Number of enumerators Survey Period 21 days 17days 11 . One enumerator have to survey at least (5) households in a day.
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19. Informal Sector Survey (Cont’d)
Data processing and report writing
Data entry, data processing and report writing were carried out by the CSO.
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20. Results Our survey report with the following tables such as:
- Percentage of employees who worked in main jobs
- Percentage of employees who worked in other jobs.
- Percentage of employees by kind of establishment
and source of income.
- Income by kind of establishment and source of
income
- Percentage of registered establishment by kind
- Employment situation by establishment.
- Percentage of employees by occupation and
establishment
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21. Results
- Percentage of own account workers by establishment and place of work.
Percentage of employees working in registered establishment by gender.
- Percentage of employees working in non-registered establishment by gender.
Percentage of own-account workers by establishment and income-class.
Percentage of own-account workers who worked registered establishments by kind and income-class.
Percentage of own-account workers who worked non-registered establishments by kind and income-class.
Educational status of employees who worked the informal sector.
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22. Recent Statistical Development
Formulating new Statistics Law to improve Statistical Legal Framework
Developing Statistical Policy Brief
National Strategy for Development of Statistics (NSDS)
Launched of MMSIS ( for the dissemination of the statistical information
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23. How CSO is Producing Economic Statistics?
Ad-hoc or regular surveys
Collaboration with other departments and related agencies
Asking or requesting data from other concerned departments (administrative records)

24. Statistical Information Access
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25.
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26. Specific Issues To raise awareness Statistical Literacy
To conduct survey to fully coverage the whole Informal Economy
To have the same concepts, national definition, the same methodology and to be practice standard codes, Geo coding among the statistical unit
Survey and statistical standard
Capacity Building and Development of statistics
Limited Resources
Physical Infrastructure: Data Communication Network
Dissemination of the Information
To be in line with National and International Standards
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27. SDG Indicators related Employment
Year
Value
Source of publication
8.3.1
Proportion of informal employment*
2015
87.5%
Ministry of Labor, Immigration and Population, Dept. of Labor, Labour Force Survey 2015
8.5.2
Unemployment rate*
0.8 %
Labour Underutilization (LU)
6.9%
8.6.1
Proportion of youth (15-24) not in education, employment or training (NEET)*
15.8%
8.7.1
Proportion of children aged 5-17 years engaged in child labour
9.3%
Number of children aged 5-17 years engaged in child labour
1,125,661
9.2.2
Manufacturing employment, in percent to total employment
10.9%
Ministry of Labor, Immigration and Population, Dept. of Labor,Labor
Force Survey 2015
10.4.1
Labour share of GDP, comprising wages and social protection transfers
2011
0.96%
ILO - World Social Protection Report
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28. Development Plans
To review the existing cooperation mechanisms for ensuring credible statistical data based on the experiences of previous surveys
To take the leading role in realizing a survey coordination mechanism which reflects both Myanmar’s context and the needs of all cluster members
To build a standardized statistical system in which statistical data are harmonized and comparable across relevant statistical sectors
To establish and adopt survey methodologies and standards that will ensure quality across the different survey
To organize this cluster’s meetings monthly or at least once in two months
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29. Development Plans (Cont’d)
To formulate a medium term plan, annual plan and work programmes including survey release calendar for official surveys
To report on this cluster’s progress to the quarterly meeting of the Central Committee (Data Accuracy and Quality of Statistics)
To promote the use of disaggregated data and appropriate survey methodology in all sectors of statistics
To provide technical advice and recommendations on surveys and statistical standards to other clusters
To contribute to a sustainable coordination mechanism for the emergence of a National Statistical System that ensures accuracy and quality of statistics.
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30. Cooperation Expected from Development Partners
Technical Assistance for Improving Quality of Statistics for all Statistical Area
Survey Methodologies (including analyze, interpretation, report writing and policy recommendation)
Financial Resources to implement the prioritized focus areas of Statistical fields
Effective and Efficient Training
Statistical Infrastructure
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31. Better Data, Better Lives of the Citizens
Advanced Country
Good Policy
Quality Statistics
Rich Infrastructure
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32. Thank You
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