Premature mortality (childhood)
Infant mortality rate is expressed as the number of deaths of infants aged under 1 year per 1,000 live births. Nationally, the latest infant mortality data available (using pooled data from January 2012 to December 2014) shows that there were 4 deaths per 1,000 live births to infants in the first year of life. In West Sussex, during the same period, there were 3.4 deaths per 1,000 live births and this is statistically similar to the England rate.
In 2012-14 there were 13 deaths among infants under the age of 1 who were resident in Crawley. The trend in infant mortality rate for Crawley between 2008-10 and 2012-14 is given in the chart below. The number of deaths at district level are generally very small and as such, estimates are accompanied by large confidence intervals indicating that there may be little or no change over time. In 2012-14, the directly-age standardised rate or infant mortality was 2.6 deaths per 1,000 live births (95% CI: 1.4 – 4.5 deaths), which is not significantly different to West Sussex, the South East region, or England.
After the age of one year, injury is the most common cause of death in young people; and many of these injuries are potentially avoidable. At CCG level child mortality statistics include the number of deaths to those aged 1 year to 17 years per 100,000 European Standard Population (2013 ESP). Data is currently only available for the period 2012-14 and this indicates that there were less than five deaths among children aged 1 year to 17 years in NHS Crawley CCG at a rate of 5.3 deaths per 100,000 ESP 2013 (95% CI: 1.4 – 13.6 deaths). This was not significantly different to the rate for NHS Coastal West Sussex CCG (8.9 deaths per 100,000 ESP 2013, 95% CI: 5.7 – 13.4), NHS Horsham and Mid Sussex CCG (8.2 deaths per 100,000 ESP 2013, 95% CI: 4.2 – 14.3 deaths) or England (12 deaths per 100,000 ESP 2013, 95% CI: 11.6 – 12.3 deaths). The small number of deaths, as reflected in the large confidence intervals, indicate that the estimates of mortality are highly variable.