Transcript Inter-Regional Workshop on the Production of Gender Statistics NASC Complex New Delhi, India 6-10 August 2007 Data Gaps By Dr.

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
6 November 2015
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Major steps in the gender statistics
production process
Defining data requirements
Defining issues
Statistics required from various
fields
Problems and
questions on
gender issues in
society
Relevant statistics/indicators
Required
improvements in
the situation of
women and men
Determine
data sources
Goals for equal
opportunity
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Assembling data
Available
statistics
Data gaps
Review quality
Dissemination
Statistics to
be analysed
Analysis
Other sources
Assess adequacy of concepts,
methods, classifications, etc.
Collect new data
Presentation
Dissemination
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Fill data gaps
Determine data gaps
Investigate possible sources
Need for improvements in content, concepts,
measurement, classifications
Collect new data
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Generate
statistics
to be analysed
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Data gaps and deficiencies (1)
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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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The state of vital statistics…
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Source: United Nations, World’s Women 2005: Progress in Statistics
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Data gaps and deficiencies (2)
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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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Data gap
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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
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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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Economic activity
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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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So what is being done to bridge the
gaps…?
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Thank You
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