Because she counts, we have to count her.
“Gender data” is data disaggregated by sex, such as primary school enrollment rates for girls and boys, as well as data that affects women and girls exclusively or primarily, such as maternal mortality rates.
Today, we have only a partial snapshot of the lives of women and girls and the constraints they face because gender data are limited, especially in developing countries. We have no data or bad data on issues that disproportionately affect women and girls but that society does not highly value. Gender biases both impede and distort data collection.
This data would make it possible to determine the size and nature of social and economic problems and opportunities as well as the efficacy and cost-effectiveness of alternative policies. For example: How many girls are married before the age of 18? What explains gender wage gaps? How can extension services reach more women farmers? Are mobile payments to poor mothers more cost-effective than traditional cash transfers? Good data can provide valid answers to these questions.