Disaggregation analytics
A total tells you how many people you reached. Disaggregation tells you who: how many women and men, which age groups, which locations. The Disaggregation Analytics screen adds up those splits for a whole project.
Why it matters
A project can hit its target and still miss the people it was meant for. 1,000 trainees looks like success until the breakdown shows 90% are men in one city. Most donors ask for results split by sex, age and location, and this screen gives you those figures without a spreadsheet.
Read the screen
- Choose the project.
- Choose the dimension: gender, age group or geographic location.
- Read the two parts:
- Demographic Breakdown Overview: the total for each group, its share of the Total Sample, as a percentage.
- Indicator-Level Disaggregation Analysis: the same split, indicator by indicator, so you can see which result is uneven.
Where the numbers come from
The figures are the disaggregated values recorded on the project's indicators, in data collections. An indicator only appears in the split if its values were entered by gender, age or location.
If no disaggregated values have been recorded for the dimension yet, the overview is built instead from the demographic questions in the project's surveys, such as a gender or age question.
Tip To get indicator-level figures, set Disaggregation on the indicator when you create it. See Create an indicator.
Read it carefully
- The overview adds up every value recorded for the dimension, across indicators and periods. It describes the mix of what you recorded, not a count of unique people. Use the indicator-level table when you need one indicator's figure.
- A missing group is not a zero. If a location never appears, check whether its values were entered before concluding nobody was reached there.
- Compare shares with the population you serve. 40% women is good or bad only against who the project was meant for.
What's next
Generate a donor report with these figures.