This database has been prepared in support of an increased production and analysis of sex-disaggregated agricultural data. It presents a compilation of gender-sensitive questions/questionnaire components and tables obtained predominantly from agricultural censuses, most of which were carried out during the 2000 round of the WCA programme. The database has been structured around nine data items relating to the agricultural sector (refer to Overview 1).
The list of items is not exhaustive but highlights subjects which are considered essential for gender specific analysis of the agricultural sector. Data items 1, 2, 3 and 5 represent minimum data requirements needed to adequately reflect the roles and responsibilities of men and women farmers in the agricultural sector. Collection of sex-disaggregated data on data items 4, 6, 7 and 8 are considered essential for planning efforts relating to food security and poverty reduction and for advancing gender equality and the empowerment of women. These data are crucial for measuring achievements made with regard to the Millennium Development Goals and other internationally set development targets.
The database consists of two sections. Section 1 highlights examples of gender-sensitive questions and questionnaire components obtained from agricultural censuses. Most questions relate to subsistence and commercial farming activities carried out on small-scale agricultural production units rather than purely commercial activities performed on large-scale agricultural production units, as small-scale agricultural production units are predominant in most African countries. The examples are presented in their original language, i.e. French or English. A French-English glossary has been included for ease of understanding and reference. Each example is assessed from a gender perspective and suggestions for improvements are made in some cases. Section 2 contains examples of tables, which can be prepared with the data collected through the questions and questionnaire components presented in section 1 of the database. Each table provides sex-specific information and as such builds on the more classical presentation of agricultural census data. The format of the tables allows for data presentation at national and sub-national level as any gender disparities usually show better in data presented at lower levels of aggregation.