Days Lost Due To Workplace Injuries By Gender And Age In UK

$179 / year

This dataset contains estimates for the number of working days lost due to workplace non-fatal injuries and the rates of working days lost per worker and per case of injury, by the gender and age of workers, in the United Kingdom. The statistics are calculated by Health and Safety Executive (HSE) based on the Labor Force Survey (LFS) data provided by the Office for National Statistics.

Complexity

Days off work due to workplace injury values are expressed as full-day equivalents, to allow for variation in daily hours worked, and rates are presented in the form of average annual working days lost (full-day equivalent) per full-time equivalent worker. Days lost data for injuries are available annually from fiscal year 2000-2001, with the exception of fiscal years 2001-2002 and 2002-2003, when days lost data were not collected. However, the estimated values in the dataset are presented as three-year and five-year averages to provide a more robust series of estimates.

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, with more than 3 and more than 7 consecutive (working and non-working) days away from work (not counting the day on which the accident happened), as estimated by the Labor Force Survey (LFS). Estimates are based on the most recent workplace injury, if the individual has more than one.

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 (fiscal year 1994-1995 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.

In this dataset the estimated values are calculated using 40 or more observed values.

Date Created

2017-11-15

Last Modified

2017-11-15

Version

2017-11-15

Update Frequency

Irregular

Temporal Coverage

2000-2017

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, Labor Force Survey, Workplace Injuries, Lost Time Injuries, Non-Fatal Injuries, Working Days Lost, Days Lost Per Worker, Days Lost Per Case, Workers Age, Workers Gender

Other Titles

Estimated Working Days Lost Due To Workplace Injuries By Gender And Age In UK, UK Labor Force Survey Statistics For Working Days Lost Due To Workplace Industries By Gender And Age, HSE Statistics For Working Days Lost Due To Workplace Industries By Industry

NameDescriptionTypeConstraints
Measurement_Period_TypeSpecifies if the estimated average working days lost value is calculated based on the values from one or three yearsstring-
GenderIndicates the gender of the population on which the estimates are calculatedstringenum : Array
AgeIndicates the age of the population on which the estimates are calculatedstring-
Measurement_PeriodSpecifies the years when the LFS data were collectedstring-
Days_LostThe estimated annual number of working days lost (full-day equivalent), in thousands, due to non-fatal workplace injuries with more than 3 or more than 7 consecutive (working and non-working) days away from work, in the United Kingdom, calculated with a confidence level of 95%integerlevel : Ratio
Days_Lost_Confidence_Interval_LowThe lower value of the 95% confidence interval of the estimated annual number of working days lost, in thousandsintegerlevel : Ratio
Days_Lost_Confidence_Interval_HighThe upper value of the 95% confidence interval of the estimated annual number of working days lost, in thousandsintegerlevel : Ratio
Days_Per_WorkerThe estimated annual number for the rate of working days lost per worker due to non-fatal workplace injuries with more than 3 or more than 7 consecutive (working and non-working) days away from work, in the United Kingdom, calculated with a confidence level of 95%numberlevel : Ratio
Days_Per_Worker_Confidence_Interval_LowThe lower value of the 95% confidence interval of the estimated annual number for the rate of working days lost per workernumberlevel : Ratio
Days_Per_Worker_Confidence_Interval_HighThe upper value of the 95% confidence interval of the estimated annual number for the rate of working days lost per workernumberlevel : Ratio
Days_Per_Worker_Significance_Different_To_All_Persons_RateIndicates if the statistical significance level of the estimated value for the rate of working days lost per worker is different or not from the significance level of the estimated rate calculated for all persons, regardless of age and genderstringenum : Array
Days_Per_Worker_Significance_Different_To_Previous_Period_RateIndicates if the statistical significance level of the estimated value for the rate of working days lost per worker is different or not from the significance level of the previous period valuestringenum : Array
Days_Per_CaseThe estimated annual number for the rate of working days lost per case of non-fatal workplace injury with more than 3 or more than 7 consecutive (working and non-working) days away from work, in the United Kingdom, calculated with a confidence level of 95%numberlevel : Ratio
Days_Per_Case_Confidence_Interval_LowThe lower value of the 95% confidence interval of the estimated annual number for the rate of working days lost per case of non-fatal workplace injurynumberlevel : Ratio
Days_Per_Case_Confidence_Interval_HighThe upper value of the 95% confidence interval of the estimated annual number for the rate of working days lost per case of non-fatal workplace injurynumberlevel : Ratio
Days_Per_Case_Significance_Different_To_Previous_Period_RateIndicates if the statistical significance level of the estimated value for the rate of working days lost per case of non-fatal workplace injury, is different or not from the significance level of the previous period valuestringenum : Array
Measurement_Period_TypeGenderAgeMeasurement_PeriodDays_LostDays_Lost_Confidence_Interval_LowDays_Lost_Confidence_Interval_HighDays_Per_WorkerDays_Per_Worker_Confidence_Interval_LowDays_Per_Worker_Confidence_Interval_HighDays_Per_Worker_Significance_Different_To_All_Persons_RateDays_Per_Worker_Significance_Different_To_Previous_Period_RateDays_Per_CaseDays_Per_Case_Confidence_Interval_LowDays_Per_Case_Confidence_Interval_HighDays_Per_Case_Significance_Different_To_Previous_Period_Rate
3 yearFemaleFemale2005-20081657143818750.180.150.20Lower
3 yearMale25-34 years old2005-20087876279470.240.190.29No
3 yearFemaleFemale2008-20111454121416930.150.130.18LowerNo
3 yearFemaleFemale2011-20141310107815430.140.110.16LowerNo
3 yearFemaleFemale2014-20171493121517720.140.120.17LowerNo
3 yearBoth gendersAll ages2005-20086320578968520.260.240.29
3 yearBoth gendersMale2014-20173205273436750.210.180.24NoNo
3 yearMale16-24 years old2011-20143251874640.240.140.35NoNo
3 yearMale16-24 years old2014-20172591263920.180.090.27NoNo
3 yearMale25-34 years old2008-20116614678540.210.150.27NoNo