Others titles
- Estimated Working Days Lost Due To Workplace Injuries By Industry In UK
- UK Labor Force Survey Statistics For Working Days Lost Due To Workplace Injuries By Industry
- HSE Statistics For Working Days Lost Due To Workplace Injuries By Industry
Keywords
- Health And Safety Executive
- HSE Statistics
- Labor Force Survey
- Workplace Injuries
- Lost Time Injuries
- Non-Fatal Injuries
- Working Days Lost
- Days Lost Per Worker
- Industrial Classification
- Self Reported Workplace Injuries
Days Lost Due To Workplace Injuries By Industry In UK
This dataset contains estimates for the number of working days lost due to workplace non-fatal injuries and the rate of working days lost per worker, by industry, 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.
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Description
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.
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 (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.
About this Dataset
Data Info
Date Created | 2017-11-15 |
---|---|
Last Modified | 2019-10-19 |
Version | 2019-10-19 |
Update Frequency |
Irregular |
Temporal Coverage |
2001-2019 |
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, Working Days Lost, Days Lost Per Worker, Industrial Classification, Self Reported Workplace Injuries |
Other Titles | Estimated Working Days Lost Due To Workplace Injuries By Industry In UK, UK Labor Force Survey Statistics For Working Days Lost Due To Workplace Injuries By Industry, HSE Statistics For Working Days Lost Due To Workplace Injuries By Industry |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
Measurement_Period_Type | Specifies if the estimated average working days lost value is calculated based on the values from three or five years | string | - |
SIC_Level | Indicates if the corresponding industry name and SIC code are for a section, division, group, class or subclass | string | - |
SIC_Section_Code | Indicates the letter of the section, which is the first letter from the corresponding SIC code | string | - |
Industry | Specifies the name of the industry section, division, group, class or subclass | string | - |
SIC_Code | Specifies the Standard Industrial Classification system code for the industry section, division, group, class or subclass | string | - |
Measurement_Period | Specifies the years when the LFS data were collected | string | - |
Days_Lost | The 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% | integer | level : Ratio |
Days_Lost_Confidence_Interval_Low | The lower value of the 95% confidence interval of the estimated annual number of working days lost, in thousands | integer | level : Ratio |
Days_Lost_Confidence_Interval_High | The upper value of the 95% confidence interval of the estimated annual number of working days lost, in thousands | integer | level : Ratio |
Days_Per_Worker | The 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% | number | level : Ratio |
Days_Per_Worker_Confidence_Interval_Low | The lower value of the 95% confidence interval of the estimated annual number for the rate of working days lost per worker | number | level : Ratio |
Days_Per_Worker_Confidence_Interval_High | The upper value of the 95% confidence interval of the estimated annual number for the rate of working days lost per worker | number | level : Ratio |
Days_Per_Worker_Significance_Different_To_All_Industries_Rate | Indicates 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 across all industries | string | enum : Array ( [0] => Higher [1] => Lower [2] => No ) |
Days_Per_Worker_Significance_Different_To_Previous_Period_Rate | Indicates 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 value | string | enum : Array ( [0] => Higher [1] => Lower [2] => No ) |
Is_Rate_Estimated_On_Less_Than_40_Values | Indicates if the estimated rates for days lost per worker and days lost per case values are calculated using less than 40 observed values | boolean | - |
Data Preview
Measurement Period Type | SIC Level | SIC Section Code | Industry | SIC Code | Measurement Period | Days Lost | Days Lost Confidence Interval Low | Days Lost Confidence Interval High | Days Per Worker | Days Per Worker Confidence Interval Low | Days Per Worker Confidence Interval High | Days Per Worker Significance Different To All Industries Rate | Days Per Worker Significance Different To Previous Period Rate | Is Rate Estimated On Less Than 40 Values |
3 year | All | All | All industries (current/most recent job) | All | 2005-2008 | 5801 | 5287 | 6315 | 0 | 0 | 0 | False | ||
3 year | All | All | All industries (current/most recent job) | All | 2008-2011 | 4346 | 3852 | 4840 | 0 | 0 | 0 | Lower | False | |
3 year | All | All | All industries (current/most recent job) | All | 2011-2014 | 4209 | 3702 | 4717 | 0 | 0 | 0 | No | False | |
3 year | All | All | All industries (current/most recent job) | All | 2014-2017 | 4304 | 3795 | 4813 | 0 | 0 | 0 | No | False | |
5 year | All | All | All industries (current/most recent job) | All | 2007-2012 | 4677 | 4287 | 5067 | 0 | 0 | 0 | False | ||
5 year | All | All | All industries (current/most recent job) | All | 2012-2017 | 4256 | 3860 | 4651 | 0 | 0 | 0 | Lower | False | |
3 year | Section | A | Agriculture, forestry and fishing | A | 2005-2008 | 165 | 84 | 247 | 1 | 0 | 1 | Higher | False | |
3 year | Section | A | Agriculture, forestry and fishing | A | 2008-2011 | 95 | 39 | 151 | 0 | 0 | 0 | No | No | True |
3 year | Section | A | Agriculture, forestry and fishing | A | 2011-2014 | 111 | 38 | 183 | 0 | 0 | 1 | No | No | True |
3 year | Section | A | Agriculture, forestry and fishing | A | 2014-2017 | 135 | 51 | 218 | 0 | 0 | 1 | No | No | True |