Data disaggregation is the process by which performance indicator data are separated into their component parts to meet analytical interests of a Country Development Cooperation Strategy’s (CDCS) Results Framework or a project’s or activity’s logic model. Typically these component parts, or subgroups, reflect demographic characteristics. At a minimum, USAID requires that all person-level indicators be disaggregated by sex.
Disaggregated data improve understanding of the progress toward achievements that an indicator captures, by providing details of the experiences of subsets of beneficiaries or processes monitored by that indicator. Indicator data that are disaggregated by relevant subgroups can provide richer information, often allowing for greater insight and a fuller understanding as to whether an activity, project, or Mission is progressing toward stated objectives. With this information, USAID is better equipped to manage adaptively.