Gender-Responsive Budgeting

Lecture 04

Sex-disaggregated data: finding and using it

PublishedReading lectureWritten by Tharindu Bandara

Content

In the order a learner meets it. Each block is a separate thing to write, and their order is the lecture's argument.

  1. Block 1 · text

    More exists than most officers expect

    Beneficiary registers, training attendance sheets and service uptake records are frequently already collected by sex, even where nobody has analysed them that way. The first step is rarely commissioning new data collection - it is asking what is already sitting in an existing register.

  2. Block 2 · text

    A partial dataset, used honestly, still helps

    Where disaggregated data covers only part of a programme or a recent year, using it with that limitation stated is more credible than waiting for a complete dataset that may never arrive. State the coverage, and the gap becomes part of the evidence rather than a reason to say nothing.

Attached materials

What the learner downloads. Everything here comes off the shared library, so one file can serve six lectures and be replaced once.

  • Data source inventory - public sector

    PDF · 680 KB · uploaded straight onto this lecture

    Not on a shelfRemove
  • Data quality checklist

    Spreadsheet · 70 KB · uploaded straight onto this lecture

    Not on a shelfRemove

Lecture quiz

4 questions close this lecture. The pass mark is 70% and is set once for the whole platform. It also carries 2 written questions - a learner has to clear both to move on.

Manage the quiz

Questions

4

70% to pass

Attempts

-

no figures yet

Pass rate

-

no figures yet