1. LECTURE: GENDER STATISTICS PRODUCTION PROCESS: AN OVERVIEW
NATIONAL TRAINING WORKSHOPS WITH PRODUCERS AND USERS OF GENDER STATISTICS October 2017, Kampala, Uganda
LECTURE: GENDER STATISTICS PRODUCTION PROCESS: AN OVERVIEW
Opoku Manu Asare
9/6/2019

2. What are the requirement for gender statistics production process
What are the requirement for gender statistics production process? A synopsis

3. Rational for gender statistics
Realistic basis for all stages of policy making: planning, budgeting, implementation, monitoring , reporting and evaluation
Shed light on priority gender issues and gender gaps
Set targets and benchmarks
Track progress

4. The Beijing Platform for Action
Calls on national, regional and international statistical institutions to:
Ensure that statistics related to individuals are collected, compiled, analysed and presented by sex and age, and reflect problems, issues and questions related to women and men in society (para. 206 (a)).
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5. Almost 20 years since, what is new?
Issues are defined without regard to gender differences or concerns
Little or no interest or obligation to produce data and statistics that reflect variations with respect to gender
Analysis, presentation and dissemination of data by sex is not necessarily as a response to data needs but possibly by coincidence
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6. Components of gender statistics work
Identification of issues/topics that represent concerns about gender relations and opportunities, for investigation
Selection of statistics to be collected to highlight gender issues in society
Formulation of concepts and definitions that adequately reflect the diversities of women and men in society and capture the different aspects of their lives
Identification of gender relevant data
Reviewing existing sources of data
Development of data collection methods that take account stereotypes and social and cultural factors that might produce gender-based biases.
Development of analyses and presentation of data that can easily reach policy makers, planners and the largest audience possible.
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8. Reformulate development issues
Identify issues and topics for investigation
Reformulate development issues
USERS
Problems and questions
on gender issues in society
of statistics
Cooperate
Needs for improvement of the
situations of women and men
PRODUCERS
of statistics
Goals for equal opportunity
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9. This should lead to identifying gender-sensitive statistics
Not merely indicators which have been compiled and presented by sex (although a fundamental requirement);
But also reflect the relative levels of and differentials between women and men, girls and boys;
Present comparisons within age and socio-economic groups
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10. Determination of required statistics
Identify statistics needed for the issues
List the most relevant statistics and indicators
Identify available statistics
Determine data gaps
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11. Required statistics reflect the several dimensions
Subject matter (topics)
Unit of analysis (individual, household, institution, enterprise, etc.)
Reference period
Classified by other characteristics
Geographical coverage
Periodicity
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12. Sources of available statistics
National censuses of:
population, housing, industry, agriculture, distributive trade, etc.
Sample surveys of:
households, economic units, land holdings,
Civil registration
Administrative records
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13. Utilization of available data
Identify available data
Review sources of data
Generate
statistics
to be analysed
Assess quality of data
relative to need
Identify new
data needs
Need for improvements in content, concepts,
measurement, classifications
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14. Adequacy of statistics conditioned by ….
Concepts, definitions and methods used
Dimensions they reflect
Subject matter (topics)
Unit of analysis (individual, household, institution, enterprise, etc.)
Reference period
Classification by other characteristics
Geographical coverage
Periodicity
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15. Data gaps and deficiencies (1)
Coverage of topics is limited. Data from administrative sources are not regularly compiled and disseminated, national sample surveys are expensive to run and maintain; time series are maintained for only a few surveys.
Comprehensiveness of coverage for data obtained from administrative records, including civil registration, is extremely low in many areas.
Level of geographical disaggregation for many surveys is still at the national and regional/provincial level, whereas there is much interest in programming at subnational/subregional level.
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16. Data gaps and deficiencies (2)
Consistency of concepts and methods: data collection efforts have tended to be governed by different standards; or do not meet the requirements of users (definition and measurement of work).
Timeliness of data: delays in the the release of the results of data collection exercises, or processing of administrative records.
Comparability of different source: when the use of different methods and concepts renders the different data collection results incomparable.
Accessibility to the data a lot of the available data still not accessible to users.
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17. For many issues concepts and definition pose difficulties
Family/household
Household headship
Marital status
Economic activities
Population economically active
Status in employment
Unemployment
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18. Data gap Male fertility Unpaid work Time-use School drop-out rates
Educational achievement
Fields of higher education
Access to credit
Access to land
Informal sector
Subsistence agriculture Income control
Poverty
Individual and household income
Violence against women/domestic violence
Economic decision-making
Decision-making at the local level
Decision-making in the household
Resource allocation within the household
Household composition and structure
Diseases and causes of death
Internal and international migration
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19. Review of existing sources of data Suitability of purpose
How closely the original purpose for the data matches the present needs
If data were collected without regard for gender, it would be necessary to consider that there is:
Sex dissagregation
Topics of interest are covered at the broad level, as well as at a level of detailed relating to specific gender issues
Concepts and definitions are relevant
Dissaggregations with respect to age, socio-economic characteristics, geographic locations, etc.
Time reference
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20. Fill data gaps Determine data gaps Investigate possible sources
Need for improvements in content, concepts,
measurement, classifications
Generate
statistics
to be analysed
Collect new data
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21. Targeting different audiences
Enhancing visibility of women and men in statistics
Targeting different audiences
PRODUCERS
of statistics
Analysis of data
Feedback
Cooperate
Presentation
USERS
Dissemination
of statistics
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22. What would you like to know?
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23. What would you change?
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24. What does this suggest?
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25. Quality considerations further limit use of available data
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26. Back to the statistics production process
Defining data requirements
Statistics required from various fields
Defning issues
Relevant statistics/indicators
Problems and questions on gender issues in society
Dissemination
Assembling data
Statistics to be analysed
Available statistics
Data gaps
Analysis
Required improvements in the situation of women and men
Determine data sources
Presentation
Review quality
Other sources
Dissemination
Goals for equal opportunity
Review concepts, methods, classifications, etc.
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Collect new data

27. Accessibility: Data may be characterized by the following:
Required data were collected:
Tabulated and published in at least one form (including yearbooks, booklets, diskettes and compact discs)
Tabulated but not published (such data can only be obtained from the responsible office by request)
May not have been tabulated (data are available in the form of individual records on computer media, such as magnetic tapes, compact discs, or computer diskettes) and can only be obtained by submitting a specific request to the responsible office
Data are collected but not processed (i.e., although the relevant questions were asked in surveys/censuses, responses are not coded or extracted from the questionnaires)
Data are not collected at all or are not collected by sex
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28. Components in data quality assessments
Validity
Reliability
Relevance to policy
Potential for disaggregation
Currency/Punctuality
Coherence across different sources
Clarity and transparency (regarding limitations)
Comparability (conformity to international standards)
Consistency and comparability over time and space
Applicability of the classifications and disaggregations
Accessibility
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29. Requirements for gender further limits the available data ….
What are some of the issues regarding gender and poverty measurements?
Unit of measurement
Concept and definitions
Periodicity
Measurement problems
How can the data be improved?
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30. Group discussions
For your area of work (gender issues, required statistics)
What key variables are needed?
What national sources of data are available?
Assess the adequacy of the data sources in terms of:
Availability of the data
Quality of the data
Relevance for gender analysis
Potential problems with the concepts, classification, accuracy of reporting, etc.
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31. Concluding Observation and Recommendations
Gender statistics are used not only by statisticians and economists hence, the dissemination of gender statistics should be carefully planned and implemented so that all types of users will be able to access and retrieve data and meta-data that they require.
Gender statistics should be consolidated in one integrated database under one classification of areas of concern.
Methodology should be able to match measurable and equally relevant indicators.
Computations of sex-disaggregated indicators from survey results must be done regularly and promptly,

32. 5. The Gender Database should have meta-data including concepts, definitions, units of measure, reference period, date of update, data frequency, among others.
6. Gender issues are better discussed and addressed objectively when more people are engaged and data are available to support economic research, studies and discussions.
7. The gender statistics framework is necessary in producing and using good quality gender statistics.
8. The biggest data gap in gender statistics is at the LGU level.
9. Under Republic Act No PSA shall create an Inter-Agency Committees on Gender Statistics by the PSA Board.

33. In summary… The production of adequate gender statistics
Concerns the entire official statistical system as well as different statistical sources and fields
Implies the development and improvement of concepts, definitions, classifications and methods.
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34. Group Discussion -- Needed statistics and indicators
(1) Identify statistics and indicators needed for the analysis of this problem and its underlying causes and effects.
NOTE: Make sure you list all statistics and indicators needed. Do not restrict your listing to available statistics.
(2) Present the statistics and indicators in the following format:
For the problem/concern: State the gender issue
List statistics and indicators needed
(a)
(b)
(c)
etc.
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35. For consequence/effect: 1. (give the name) (a) (b) (c) etc.
For underlying cause:
1. (give the name)
(a)
(b)
(c)
etc.
2. (give the name)
For consequence/effect:
1. (give the name)
(a)
(b)
(c)
etc.
2. (give the name)
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36. Thank You
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