There are important gender differences in socioeconomic status, education and behavior that should be considered when designing and evaluating an intervention. Where gender analysis has been completed, the results between men and women often differ. MCC should ensure that evaluation sampling and data collection instruments are designed to capture effects on women versus men, when these differences have been documented as key factors within the logic models. In the case of the Peri-Urban Rangeland Project, women were more likely to have smaller households, herds, and income, be more sedentary, and have lower education levels than men. These divisions continued post compact with men continuing to have higher incomes and herd sizes compared to women. Men also were more likely to access loans. These gender differences have presented themselves across many of MCC’s land projects. Moving forward, MCC should note key gender differences in logic frameworks and implementation design, as well as any potential for different outcomes. Ensuring sampling of women as part of the evaluation is key to understanding these differences, including intrahousehold aspects. MCC in recent evaluations has now added modules for women to try and capture changes for not only women-headed households but also women in male-headed households.
Lesson Learned