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--- emis_user_manual_data_warehouse [2022/02/17 15:27] – [Flows] ghachey
+++ emis_user_manual_data_warehouse [2022/02/17 15:38] – [Enrolments] ghachey
@@ Line 119: / Line 119: @@
 <note tip>The table warehouse.EdLevelERDistrict is essentially the same but with the added ability to disaggregate by districts.</note>
+Details about the columns names in this table are included below:
+  * **SurveyYEar**: school year of survey to collect data
+  * **ClassLevel**: the class level or grade
+  * **YearOfEd**: the official year of education of the class level
+  * **OfficialAge**: the official age of the class level
+  * **enrolM**: males enrolled
+  * **enrolF**: females enrolled
+  * **enrol**: total enrolled
+  * **repM**: male repeaters
+  * **repF**: female repeaters
+  * **rep**: total repeaters
+  * **psaM**: male pre-school attenders
+  * **psaF**: female pre-school attenders
+  * **psa**: total pre-school attenders
+  * **intakeM**: males intakes (new enrollments without repeaters)
+  * **intakeF**: females intakes (new enrollments without repeaters)
+  * **intake**: total intakes (new enrollments without repeaters)
+  * **nEnrolM**: males enrolled of official age
+  * **nEnrolF**: females enrolled of official age
+  * **nEnrol**: total enrolled of official age
+  * **nIntakeM**: males intakes of official age
+  * **nIntakeF**: females intakes of official age
+  * **nIntake**: total intakes of official age
+  * **nRepM**: male repeaters of official age
+  * **nRepF**: female repeaters of official age
+  * **nRep**: total repeaters of official age
+  * **popM**: male population as per most recent population projection in use
+  * **popF**: female population as per most recent population projection in use
+  * **pop**: total population as per most recent population projection in use
 The workbook below shows some sample analysis. This workbook does a bit more than simple pivot tables and charts on the data but also computes new data using formulas.