Lost Time Injuries Frequency By Industry In UK

$179 / year

This dataset contains the estimated number of new cases of non-fatal injuries, along with the incidence rates of non-fatal injuries, by industry, made available by the Health and Safety Executive (HSE) for the employees working in the United Kingdom. The statistics are calculated by HSE based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.

Complexity

The self-reported workplace injuries, for which the number and rate are provided, are those sustained as a result of a non-road traffic accident in the last 12 months, as estimated by the Labor Force Survey (LFS). Over-3-day and over-7-day absence injuries include all those with more than three and more than seven consecutive (working and non-working) days away from work (not counting the day on which the accident happened). Estimates are based on the most recent workplace injury, if the individual has more than one. All workplace injuries and over-3-day absence injuries are available annually on a consistent basis from fiscal year 2000-2001 and over-7-day absence injuries annually from fiscal year 2003-2004. However, results in the tables are presented as three-year averages to provide a more robust series of estimates.

The estimated values in this dataset are restricted to injuries sustained in the current or most recent job as industry information is not available for previously held jobs. Section level industry results are provided for the full range of three and five-year average periods, more detailed information is presented for three and five-year average periods where the LFS has been coded using SIC2007 (from fiscal year 2008-2009).

Standard Industrial Classification (SIC) is the system used in UK official statistics for classifying businesses by type of activity they are engaged in. This has been revised several times since first introduced in 1948. The LFS has been coded using SIC 2007 starting with the fiscal year 2008-2009, and the breakdown by industry section for 2008-2009 onwards is not entirely consistent with those of previous years. This is because:

– The LFS data was coded directly to SIC 1992 for years up to fiscal year 2008-2009 and then mapped to the new industrial classification, SIC 2007, according to the assumed relationship between the two classifications;
– Data from fiscal year 2008-2009 onwards has been coded directly to SIC 2007;
– A new method of coding industry data, using an automatic tool, was introduced with the new classification.

With roots stretching back to 1833 the modern HSE is an independent regulator with over forty years’ experience helping Great Britain work well. The Labor Force Survey is a survey of households living at private addresses in the UK. Its purpose is to provide information on the UK labor market which can then be used to develop, manage, evaluate and report on labor market policies. The survey is managed by the Office for National Statistics in Great Britain and by the Central Survey Unit of the Department of Finance and Personnel in Northern Ireland on behalf of the Department of Enterprise, Trade and Investment (DETINI).

Since 1992, the LFS in Great Britain has run as a quarterly survey (1994-1995 fiscal year for Northern Ireland). The quarterly surveys have until spring 2006 operated on a seasonal quarter basis. However, mostly due to an EU requirement under regulation, in May 2006 the LFS moved to calendar quarters. The 2006-2007 fiscal year data is the first set of HSE data based on the LFS to be affected by this change. The LFS is intended to be representative of the whole population of the UK, and the sample design currently consists of around 37,000 responding households in every quarter. The quarterly survey has a panel design whereby households stay in the sample for five consecutive quarters (or waves), with a fifth of the sample replaced each quarter. Thus there is an 80% overlap in the samples for each successive survey.

Date Created

2017-11-15

Last Modified

2019-10-19

Version

2019-10-19

Update Frequency

Irregular

Temporal Coverage

2002-2019

Spatial Coverage

United Kingdom

Source

John Snow Labs; Health and Safety Executive;

Source License URL

Source License Requirements

N/A

Source Citation

N/A

Keywords

Health And Safety Executive, HSE Statistics, Labor Force Survey, Workplace Injuries, Lost Time Injuries, Non-Fatal Injuries, Industrial Classification, Incidence Rate, Injuries Frequency, Self Reported Workplace Injuries

Other Titles

UK HSE Labor Statistics By Lost Time Injuries And Industry, UK Labor Force Survey Statistics For Non-Fatal Workplace Injuries, HSE Statistics For Non-Fatal Workplace Injuries By Industry

NameDescriptionTypeConstraints
Measurement_Period_TypeSpecifies if the estimated average value is calculated based on the values from three or five yearsstring-
Injuries_By_Days_Of_Absence_From_WorkIndicates the category of injuries based on the consecutive number of days of absence from workstring-
SIC_LevelIndicates if the corresponding industry name and SIC code are for a section, division, group, class or subclassstring-
SIC_Section_CodeIndicates the letter of the section, which is the first letter from the corresponding SIC codestring-
IndustrySpecifies the name of the industry section, division, group, class or subclassstring-
SIC_CodeSpecifies the Standard Industrial Classification system code for the industry section, division, group, class or subclassstring-
Measurement_PeriodSpecifies the years when the LFS data were collectedstring-
CasesThe estimated number in thousands of new workplace injuries in the United Kingdom, calculated with a confidence level of 95%integerlevel : Ratio
Cases_Confidence_Interval_LowThe lower value of the 95% confidence interval for the estimated number of cases, in thousandsintegerlevel : Ratio
Cases_Confidence_Interval_HighThe upper value of the 95% confidence interval for the estimated number of cases, in thousandsintegerlevel : Ratio
RateThe estimated incidence of workplace injuries in the United Kingdom per 100,000 employed individuals, calculated with a confidence level of 95%, for the last 12 monthsintegerlevel : Ratio
Rate_Confidence_Interval_LowThe lower value of the 95% confidence interval for the estimated rate of incidence per 100,000 employed individuals, for the last 12 monthsintegerlevel : Ratio
Rate_Confidence_Interval_HighThe upper value of the 95% confidence interval for the estimated rate of incidence per 100,000 employed individuals, for the last 12 monthsintegerlevel : Ratio
Significance_Level_Different_To_All_Industries_RateIndicates if the statistical significance level of the estimated rate value is different (higher or lower) or not from the significance level of estimated values for all industriesstringenum : Array
Significance_Level_Different_To_Previous_Period_RateIndicates if the statistical significance level of the estimated rate value is different (higher or lower) or not from the significance level of the previousstringenum : Array
Is_Rate_Estimated_On_Less_Than_30_ValuesIndicates if the estimated value of incidence is calculated using less than 30 observed valuesboolean-
Measurement Period TypeInjuries By Days Of Absence From WorkSIC LevelSIC Section CodeIndustrySIC CodeMeasurement PeriodCasesCases Confidence Interval LowCases Confidence Interval HighRateRate Confidence Interval LowRate Confidence Interval HighSignificance Level Different To All Industries RateSignificance Level Different To Previous Period RateIs Rate Estimated On Less Than 30 Values
3 yearAll non-fatal injuriesAllAllAll industries (current/most recent job)All2002-2005886860911321031203300False
3 yearAll non-fatal injuriesAllAllAll industries (current/most recent job)All2005-2008792767817280027102880LowerFalse
3 yearAll non-fatal injuriesAllAllAll industries (current/most recent job)All2008-2011649624674230022102380LowerFalse
3 yearAll non-fatal injuriesAllAllAll industries (current/most recent job)All2011-2014581556606201019202090LowerFalse
3 yearAll non-fatal injuriesAllAllAll industries (current/most recent job)All2014-2017568541594186017701940LowerFalse
5 yearAll non-fatal injuriesAllAllAll industries (current/most recent job)All2002-2007854834873307030003140False
5 yearAll non-fatal injuriesAllAllAll industries (current/most recent job)All2007-2012655635674230022402370LowerFalse
5 yearAll non-fatal injuriesAllAllAll industries (current/most recent job)All2012-2017577557598192018601990LowerFalse
3 yearAll non-fatal injuriesSectionAAgriculture, forestry and fishingA2002-200512914466036005730HigherFalse
3 yearAll non-fatal injuriesSectionAAgriculture, forestry and fishingA2005-2008161219568044706880HigherNoFalse