Analysis

PIP Recipients

Residents receiving Personal Independence Payment

socialUnit: countSource: DWP Stat-Xplore

The metrics below move with PIP Recipients 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	Universal Credit Householdssocial	very_strong	0.94	325
2	Recorded Criminal Damage & Arsoncrime	very_strong	0.93	413
3	Recorded Violence Against the Personcrime	very_strong	0.91	413
4	Births — UK-born Motherdemographic	very_strong	0.89	448
5	Debt Interest — High Migration Projection

Strongest negative correlatesMove in opposite directions

#	Metric	Strength	r	n
1	Net Fiscal Balance — Baseline Projectionprojection	very_strong	-0.91	427
2	Net Fiscal Balance — High Migration Projectionprojection	very_strong	-0.91	427
3	Net Fiscal Balance — Low Fertility Projectionprojection	very_strong	-0.91	427
4	Net Fiscal Balance — Extended Working Projection

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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