Analysis

Drug misuse deaths (Female)

Age-standardised rate of deaths related to drug misuse

healthUnit: per_100000Source: OHID Fingertips

The metrics below move with Drug misuse deaths (Female) 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	Drug misuse deathshealth	strong	0.79	325
2	Drug misuse deaths (Male)health	strong	0.69	325
3	Asylum support: Initial accommodationsocial	strong	0.68	34
4	PIP Claimants %

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 →

#	Metric	Strength	r	n
1	Life expectancy at birth (Female)health	moderate	-0.53	325
2	Life expectancy at birth (Male)health	moderate	-0.52	325
3	Healthy life expectancy at birth (Male)health	moderate	-0.51	289
4	Life expectancy at 65 (Female)health	moderate	-0.50	325
5	Healthy life expectancy at 65 (Male)health	moderate	-0.47	289
6	Healthy life expectancy at birth (Female)health	moderate	-0.45	289
7	Life expectancy at 65 (Male)health	moderate	-0.44	325
8	Homes for Ukraine Arrivalsdemographic	moderate	-0.40	325
9	SDLT Average Property Valueeconomic	moderate	-0.40	63
10	Progress 8 Scoreeducation	weak	-0.39	277
11	Managers & Directors %economy	weak	-0.39	325
12	Healthy life expectancy at 65 (Female)health	weak	-0.38	289
13	Deprivation (IMD)social	weak	-0.38	325
14	Self-Employed %economy	weak	-0.37	325
15	Taxpayer Counteconomic	weak	-0.36	325

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