; Root Entry@Workbook
!"#$%&'()*+,-./0123456789:;< A\proot Ba==h\:#8X@"1Arial1Arial1Arial1Arial"$"#,##0_);("$"#,##0)"$"#,##0_);[Red]("$"#,##0) "$"#,##0.00_);("$"#,##0.00)% "$"#,##0.00_);[Red]("$"#,##0.00),*'_(* #,##0_);_(* (#,##0);_(* "-"_);_(@_)5)0_("$"* #,##0_);_("$"* (#,##0);_("$"* "-"_);_(@_)=,8_("$"* #,##0.00_);_("$"* (#,##0.00);_("$"* "-"??_);_(@_)4+/_(* #,##0.00_);_(* (#,##0.00);_(* "-"??_);_(@_)#.0 + ) , * `Rdata*0[Figure 6b: Excess winter deaths by sex and age group, England and Wales, 2012/13 to 2014/15FemalesNotes31. EWM figures are based on deaths occurring in each period (August through to the following July). Numbers of deaths from January to July 2015 are provisional, and have been adjusted to take account of late registrations (see Background notes 2 and 3 in the statistical bulletin).
2. Figures for the latest winter are provisional and are rounded to the nearest 100, figures for all other winters are final and are rounded to the nearest 10.
3. The lower and upper confidence limits (LCL and UCL) form a confidence interval, which is a measure of the statistical precision of an estimate. More information on the calculation and interpretation of excess winter deaths, the excess winter mortality index and confidence intervals can be found in the Definitions sheet.
4. Totals for all ages will not be equal to the sum of the individual age groups due to rounding.
5. The excess winter mortality (EWM) index is calculated as excess winter deaths divided by the average non-winter deaths, expressed as a percentage.
6. Data include non-residents who died in England or Wales.
Unit EWM IndexUnder 6565 7475 8485 and over2012/1311.420.829.02013/142014/15
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