Analysis

Muslim Schools

Schools with Islamic/Muslim character

religionUnit: countSource: DfE GIAS

The metrics below move with Muslim Schools across UK places. A positive correlation means the two tend to rise together; a negative one means as this rises, the other tends to fall.

Strongest positive correlatesRise together

#	Metric	Strength	r	n
1	Faith Schools (Total)religion	very_strong	0.87	99
2	Debt Interest — Extended Working Projectionprojection	very_strong	0.87	94
3	Christian Schoolsreligion	very_strong	0.86	96
4	Debt Interest — High Migration Projectionprojection	very_strong	0.86	94
5	Debt Interest — Baseline Projection

Strongest negative correlatesMove in opposite directions

#	Metric	Strength	r	n
1	Net Fiscal After Interest — Extended Working Projectionprojection	very_strong	-0.87	94
2	Net Fiscal Balance — Extended Working Projectionprojection	very_strong	-0.87	94
3	Net Fiscal Balance — Baseline Projectionprojection	very_strong	-0.87	94
4

How to read this

Correlation ≠ causation. A strong correlation does not mean one metric causes the other. Both may be driven by a shared underlying factor, or the link may be coincidental.
r is the Pearson correlation coefficient (−1 to +1); n is the number of places compared. Larger n means a more reliable estimate.
Click any correlate to explore its drivers and walk the network of relationships.

Data: precomputed cross-metric correlations (latest period).

← All metric drivers Correlation matrix →Correlation network →

How to read this

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