1. Data Gaps By Dr. Grace Bediako Government Statistician
Inter-Regional Workshop on the Production of Gender Statistics NASC Complex New Delhi, India 6-10 August 2007
Data Gaps    By
Dr. Grace Bediako
Government Statistician
Ghana Statistical Service
Proposed title change: UNSD’s work programme for social statistics and the UN Demographic Yearbook
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2. Major steps in the gender statistics production process
Defining data requirements
Statistics required from various fields
Defining 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
Assess adequacy of concepts, methods, classifications, etc.
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Collect new data

3. 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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4. 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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5. The state of vital statistics…
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Source: United Nations, World’s Women 2005: Progress in Statistics

6. 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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7. 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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8. Economic activity Gap between women’s and men’s pay
108 of 204 countries or areas report data on total wages
Less than a quarter of countries report data by sex
Source: United Nations, World’s Women 2005
Progress in Statistics
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9. So what is being done to bridge the gaps…?
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10. Thank You
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