Analysis

Smoking attributable hospital admissions

Hospital admissions attributable to smoking per 100,000 population

healthUnit: per_100000Source: OHID Fingertips

The metrics below move with Smoking attributable hospital admissions 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	COPD emergency hospital admissions (35+)health	very_strong	0.83	328
2	Under-75 preventable mortality ratehealth	very_strong	0.83	328
3	Under-75 preventable mortality rate (Male)health	very_strong	0.81	328
4	Under-75 cancer preventable mortality ratehealth	very_strong	0.81	328
5

Strongest negative correlatesMove in opposite directions

#	Metric	Strength	r	n
1	Life expectancy at birth (Female)health	strong	-0.77	328
2	Life expectancy at birth (Male)health	strong	-0.77	328
3	Life expectancy at 65 (Female)health	strong	-0.76	328
4	Healthy life expectancy at birth (Male)

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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