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September 2002

Gender-Disaggregated Data (GDD) for agriculture and rural development

"I like the mix of concepts and hands-on application on the computers and interpretation of the data".
"I'm embarrassed to think of my (current) surveys" (in terms of lack of attention to gender).
"If my students hadn't already started their research for this year, I'd be MAKING THEM WORK, I tell you (to incorporate a gender perspective). But next year…wait and see!"

A sample of GDD workshop participants' comments to facilitators

GDD in agricultural and rural development policy and planning

FAO is committed to building country capacity to integrate analysis of environmental, social and economic dimensions of development and sustainability issues at global, regional and national levels. In 1996, its Member Nations adopted the World Food Summit Plan of Action. In part, the plan of Action recognised how important gender-disaggregated data is to food security policy and planning. It also recommended improving the collection, dissemination and use of gender-disaggregated data (GDD) in agriculture, fisheries, forestry and rural development.

FAO's Strategic Framework (2000-2015), and successive Gender Plans of Action (2002-2007 and 1996-2001) have also recognised the importance of gender-disaggregated data (GDD) in food security policy and planning. However, FAO recently observed that nearly all member countries face similar difficulties in producing and using gender-disaggregated data and statistics1. These include:

FAO develops and field-tests GDD training methodology and materials

To help address these problems, FAO increased its support to Member Nations to assist in producing and using gender-disaggregated data and statistics. Between 2000-2002, the Gender and Development Service (SDWW) developed a training methodology and materials to help improve the skills of agricultural data producers such as statisticians, planners, and policy analysts in this area. Under the Integrated Support to Sustainable Development and Food Security Programme, SDWW developed and tested the methodology and materials in Namibia, Uganda, Zambia, and Zimbabwe. They were also tested at a workshop in Romania for Central and Eastern European Countries.

For more information on the package of GDD training materials, please see 'What's in the Training Package' below.

Following the workshops in Namibia and Zambia, FAO worked with policy analysts, data managers, and other technical specialists from ministries of agriculture and central statistics offices to retabulate existing data sets to produce sex-disaggregated databases that can be used with decision-support tools in agricultural and rural development policy formulation and planning. These retabulated data can serve as the basis for carrying out a gender analysis for a more in-depth understanding of agriculture and rural development. They can also be used to introduce a gender dimension into national systems of statistical data production and use.

FAO's GDD training materials are currently being translated into Spanish and French so that they can be field-tested and adapted in the near future. FAO, together with Member Nations, is in the process of identifying further training possibilities to adapt materials so that they can better meet the expressed needs of each country and/or region. Many countries have already expressed interest in GDD training, including Sénégal, Mali, Côte d'Ivoire, China, Brazil, Armenia, and the Dominican Republic.

What's in the Training Package

The GDD Training Package contains materials useful to facilitators planning and conducting a workshop on gender-disaggregated data (GDD) for agriculture and rural development - whether long or short, focusing on data tabulation and analysis or questionnaire design, or intended for more technical staff or decision-makers.

Overall, the training methodology breaks down into three modules that build on adult learning approaches and provide participants time for analysis, reflection and action. This methodology uses participatory learning experiences such as small group work, buzz groups, energizers, panel and plenary discussions, and hands-on small group computer work.

The table below provides a brief overview of the materials currently available in the package.



Materials for a ten-day workshop on gender-disaggregated data (GDD) for agriculture and rural development.

Contains materials to assist facilitators in preparing for, and conducting, workshops on Gender-Disaggregated Data for Agriculture and Rural Development. The main part of the training package is built around a 10-day workshop schedule that incorporates participatory exercises and hands-on computer retabulations and gender analysis and interpretation. This can be adapted to a shorter time-frame (as it was in the Zimbabwe workshop which was 5 days).

Annex I: GDD Workshop Handouts

Handouts to be used in the GDD workshop. Some can be used/adapted for use in the two-day workshop for decision-makers (see Annex 5).

Annex 2: Handouts - Adult Learning

These handouts can augment those from Annex 1 if the workshop is adapted to a Training-of-Trainers (ToT) format.

Annex 3: Sample Tabulation Plans

To prepare for a GDD workshop, it is necessary to develop a tabulation plan (for use Days 4 and 5). This annex provides some samples to help guide the process.

Annex 4: Module/follow-up workshop on gender and questionnaire design

In response to needs expressed in other workshops, Annex 4 was developed on gender and questionnaire design. It can be used in the context of the following: i.) a workshop module (i.e. a modified GDD workshop); ii) post-GDD mini workshop; or iii) a stand-alone mini workshop.
Note: While some of the exercises within this Annex have been tested, the module as a whole has not. It is meant to provide ideas for facilitators looking for a way forward in this area.

Annex 5: Two-day workshop for decision-makers

Similarly, the package also contains a suggested schedule and materials for a two-day workshop for decision-makers. This workshop (untested) uses many of the exercises from the overall GDD Workshop; some of the exercises are adapted to be used in a tighter time-frame.

Overheads (electronic folder)

This electronic folder contains overheads that can be used as needed. Suggested scheduling and use are noted in specific workshop sessions and exercises.

Samples of Graphs (electronic folder)

This electronic folder contains MS Excel-produced graphs that can be used in the Interpretation exercise suggested for Day 8 (if a local data set has not been generated/retabulated). These graphs also provide facilitators with examples of what participants can produce with their own data sets.

These can also be used in the Interpretation exercise for the Two-day workshop for Decision-makers.

Help guide (electronic folder)

The help guide contains some procedures useful for using software, e.g. Microsoft Access and Excel as well as Statistics Package for Social Scientists (SPSS).

1 FAO. Filling the data gap: Gender-sensitive statistics for agricultural development, Rome, 1999.

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