{"90362":{"LatestChangeTimestampOverride":null,"SpecialCases":"inequalityData_OmitAgeId:-1","AlwaysShowSexWithIndicatorName":false,"AlwaysShowAgeWithIndicatorName":false,"AlwaysShowYearRangeWithIndicatorName":false,"ShouldCountBeDisplayed":false,"DataQualityNote":{"Id":0,"Text":"None","Comment":null},"Unit":{"Id":11,"Value":1.0,"Label":"Years"},"YearType":{"Id":1,"Name":"Calendar"},"ValueType":{"Id":11,"Name":"Life expectancy"},"ConfidenceIntervalMethod":{"Id":97,"Name":"Other method - see below","Description":null},"IID":90362,"Descriptive":{"Name":"Healthy life expectancy at birth","DataSource":"Office for National Statistics"},"DataChange":{"LastUploadedAt":"2025-07-21T10:50:57","LastDeletedAt":"2025-07-22T09:52:19"},"InequalitiesExcludedCategoryTypeIds":[]},"91547":{"LatestChangeTimestampOverride":null,"SpecialCases":null,"AlwaysShowSexWithIndicatorName":false,"AlwaysShowAgeWithIndicatorName":false,"AlwaysShowYearRangeWithIndicatorName":false,"ShouldCountBeDisplayed":true,"DataQualityNote":{"Id":0,"Text":"None","Comment":null},"Unit":{"Id":5,"Value":100.0,"Label":"%"},"YearType":{"Id":2,"Name":"Financial"},"ValueType":{"Id":5,"Name":"Proportion"},"ConfidenceIntervalMethod":{"Id":5,"Name":"Normal approximation","Description":"A confidence interval is a range of values that is used to quantify the imprecision in the estimate of a particular indicator. Specifically, it quantifies the imprecision that results from random variation in the measurement of the indicator. A wider confidence interval shows that the indicator value presented is likely to be a less precise estimate of the true underlying value.<br><br>Normal approximation methods can be used to calculate approximate confidence intervals for a wide variety of indicators. Any indicator value which is calculated as a mean of the observed values can be approximated with a Normal distribution as long as the sample size is sufficiently large. Distribution-specific methods should be used whenever possible, especially when the indicator is a rate with very low values, or a proportion with values close to zero or one, and the ease with which these can be applied through computation means it is rarely necessary to use normal approximation methods. However, in cases where the underlying distribution is complex or not known, normal approximation methods may be the only approach available.<br><br>The general form of all Normal approximation methods is:<br>A 100(1 &minus; &alpha;)% confidence interval for an indicator value,<i>x</i>, is given by: <i>x</i> &plusmn; <i>z</i>&times; SE(<i>x</i>)<br>where &alpha; is the significance value specifying the width of the confidence interval, SE(<i>x</i>) is the standard error of the indicator value (estimated by different methods according to the statistic type) and <i>z</i> is the 100(1 &minus; &alpha;/2)th percentile value from the Standard Normal distribution.<br><br>For example, for a 95% confidence interval, &alpha; = 0.05 and <i>z</i> = 1.96 (the 97.5th percentile value from the Standard Normal distribution).<br><br>For proportions, SE(<i>x</i>) is estimated by: &radic;(<i>x</i>(1 &minus; <i>x</i>)/<i>n</i>)<br>where <i>x</i> is the indicator value (the observed proportion) and <i>n</i> is the denominator of the indicator value."},"IID":91547,"Descriptive":{"Name":"Smoking prevalence in adults (aged 15 and over) - current smokers (QOF)","DataSource":"NHS England"},"DataChange":{"LastUploadedAt":"2023-11-08T18:39:18","LastDeletedAt":"0001-01-01T00:00:00"},"InequalitiesExcludedCategoryTypeIds":[]},"93014":{"LatestChangeTimestampOverride":"2021-04-14T00:00:00","SpecialCases":"inequalityChartAverageLine_UseAgeId:298","AlwaysShowSexWithIndicatorName":false,"AlwaysShowAgeWithIndicatorName":true,"AlwaysShowYearRangeWithIndicatorName":false,"ShouldCountBeDisplayed":false,"DataQualityNote":{"Id":0,"Text":"None","Comment":null},"Unit":{"Id":5,"Value":100.0,"Label":"%"},"YearType":{"Id":14,"Name":"November-November"},"ValueType":{"Id":5,"Name":"Proportion"},"ConfidenceIntervalMethod":{"Id":97,"Name":"Other method - see below","Description":null},"IID":93014,"Descriptive":{"Name":"Percentage of physically active adults","DataSource":"OHID, based on Sport England data"},"DataChange":{"LastUploadedAt":"2025-04-25T15:08:31","LastDeletedAt":"2025-04-22T16:33:30"},"InequalitiesExcludedCategoryTypeIds":[]},"93088":{"LatestChangeTimestampOverride":"2025-05-07T00:00:00","SpecialCases":"inequalityChartAverageLine_UseAgeId:168","AlwaysShowSexWithIndicatorName":false,"AlwaysShowAgeWithIndicatorName":true,"AlwaysShowYearRangeWithIndicatorName":false,"ShouldCountBeDisplayed":false,"DataQualityNote":{"Id":0,"Text":"None","Comment":null},"Unit":{"Id":5,"Value":100.0,"Label":"%"},"YearType":{"Id":14,"Name":"November-November"},"ValueType":{"Id":5,"Name":"Proportion"},"ConfidenceIntervalMethod":{"Id":97,"Name":"Other method - see below","Description":null},"IID":93088,"Descriptive":{"Name":"Overweight (including obesity) prevalence in adults, (using adjusted self-reported height and weight)","DataSource":"OHID, based on Sport England data"},"DataChange":{"LastUploadedAt":"2025-11-25T14:19:25","LastDeletedAt":"2025-04-22T12:54:21"},"InequalitiesExcludedCategoryTypeIds":[]},"93982":{"LatestChangeTimestampOverride":"2023-04-25T12:05:17","SpecialCases":"inequalityChartAverageLine_UseAgeId:164","AlwaysShowSexWithIndicatorName":false,"AlwaysShowAgeWithIndicatorName":false,"AlwaysShowYearRangeWithIndicatorName":false,"ShouldCountBeDisplayed":false,"DataQualityNote":{"Id":0,"Text":"None","Comment":null},"Unit":{"Id":5,"Value":100.0,"Label":"%"},"YearType":{"Id":14,"Name":"November-November"},"ValueType":{"Id":5,"Name":"Proportion"},"ConfidenceIntervalMethod":{"Id":97,"Name":"Other method - see below","Description":null},"IID":93982,"Descriptive":{"Name":"Percentage of adults meeting the '5-a-day' fruit and vegetable consumption recommendations (new method)","DataSource":"OHID, based on Sport England data"},"DataChange":{"LastUploadedAt":"2025-04-25T15:08:31","LastDeletedAt":"2025-04-22T16:32:45"},"InequalitiesExcludedCategoryTypeIds":[]}}