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Presentation by Hannah Nyota-Gender workshop September 2013
1. Improving Gender Responsive Data
Collection and use in Africa; Rationale
and Review of Progress
Hannah Nyota
ReSAKSS-ECA
Gender Framework Workshop
Intercontinental Hotel, Nairobi
04/09/2013
2. Outline
• Definitions
• Rationale for gender statistics
• Agricultural gender data collection initiatives
• African initiatives
• Conclusion
3. Definitions
• Gender-social construction
of the roles and responsibilities
of males and females
(Quisumbing, 1996.)
• Gender statistics- separate data
on women and men, boys and
girls across a wide range of topics
and areas, reflecting mostly
quantitatively, the scope of diverse
realities for different population
groups (UNECE, 2010).
4. Definitions contd’
Components of gender statistics;
• Sex-disaggregated data - data collected
primarily by biological and physical attributes
(FAO,2005)
• Gender-sensitive indicators-information
derived from sex-disaggregated data to assess
gender relations in the population(FAO,2005).
5. Rationale for gender data in agriculture and
rural development
• In Africa, women constitute 50% of the agricultural
workforce (Doss&FAO,2011)
• Existence of gender disparities in access to and
control of productive resources - land, seeds, water,
agricultural extension services, training,
credit(FAO,2011)
• Narrowing the gender gaps in agriculture would
increase agricultural output, enhance food security
and reduce poverty
6. Cont’d
• Gender statistics provide the inter-linkages to
understand gender related challenges in food
security, market access and economic
productivity.
• African countries face technical and institutional
constraints in generating and using gender data
• Isolated and scattered efforts to develop
tools/framework but not very successful
7. Why are gender statistics important?
• Provide evidence and unbiased foundation for gender responsive policies
and interventions;
• Monitor and evaluate policies and livelihood interventions with a gender
outlook;
• Increase awareness, convince policy makers/statistical bodies and
promote change
• For the achievement of national, regional and international goals for
promoting gender equality; SDGs, MDGs, Beijing Platform for
Action, among others
• To reveal gender based differences in roles/activities, access to and control
of resources, constraints, opportunities and benefits at the micro-level
8. Agricultural gender data collection
initiatives
• Several initiatives developed for generating
and analyzing gender-relevant information for
agriculture and rural development
• A lot of work by FAO- SEAGA, Agri-gender
toolkit, GASF etc.
9. Socio-Economic and Gender Analysis
(SEAGA) framework
Developed by FAO work to provide a gender perspective
in data collection schemes, formulated upon 3 guiding
principles (FAO,2010);
• the importance of gender roles and relations
• the need to prioritize disadvantaged people on policy
agendas
• the crucial need for multi-stakeholder consultative
processes
10. Cont’d
• Uses a combination of quantitative and
qualitative methods for collecting gender-
relevant information
• Gender relations analysed at the micro, meso
and macro levels
• Help identify relevant gender-based indicators
and sex-disaggregated data variables.
11. Key questions of the SEAGA:
• Who does what?
• Who owns what?
• Who has access to/controls what?
• Who knows what?
• Who benefits?
12. Global strategy to Improve Agricultural
and Rural Statistics
Developed through joint collaboration between MoA, NSO,
international statistical bodies and government institutions.
Articulated around three pillars :
• Identification of a minimum set of core data and national
priorities
• Integration of agriculture into national statistical systems
• Sustainability of agricultural statistics through governance
and capacity building
13. Key aspects of the global strategy
• Analysis of agric issues should show clear
interaction between the economic, social and
environmental dimensions
• Integration of gender issues in the three
dimensions
14. Agri gender toolkit/database
A statistical toolkit for supporting the production and analysis of
gender statistics in agriculture
Reflect upon the;
• Roles and contribution of men and women farmers in the
agricultural sector
• Socio-economic status of agricultural populations in rural
settings
• Efforts made to address issues of food security, poverty
alleviation, gender equality and women empowerment (FAO,
2007).
15. Data items from the
Agri-Gender database
Emphasis/scope Data categories
Roles and contributions of men and
women in the agricultural sector
Agricultural population and
households
Access to productive resources
Production and productivity
Labour and time-use
Efforts to address development
issues
Destination of agricultural produce
Income and expenditures
Membership in agricultural/farmer
organizations
Food security
Poverty indicators
Source: FAO, 2007
16. Gender and Agricultural Statistics
Framework (GASF)
• Developed by FAO and pilot tested in several
South East Asian countries.
• Is unique as it combines several other
frameworks in its 5 stages of data collection and
use.
• GASF gives an overview of data collection and
analysis systems and describes different types of
activities involved in the production of gender
statistics in agriculture
18. African initiatives
• Only one framework developed; Africa
Programme on Gender Statistics (APGS)
• APGS-brings together current and planned
initiatives aimed at the development of gender
statistics to avoid duplication of efforts and
optimize the use of available resources
• Indexes exist e.g. African Gender and
Development Index (AGDI) by UN
19. Conclusion
• Despite providing guidance on gender integration, these
initiatives don’t factor in measurement issues, country
context
• Gender analysis is important to capture the contributions of
both genders at all levels
• For evidence based policy making, there is need for gender
statistics;
