Others titles
- Estimated Working Days Lost Due To Work-Related Illness By Industry in United Kingdom
- UK Labor Force Survey Statistics For Working Days Lost Due To Work-Related Illness By Industry
- HSE Statistics For Working Days Lost Due To Work-Related Illness By Industry
Keywords
- Health And Safety Executive
- HSE Statistics
- Labor Force Survey
- Work-Related Illness
- Working Days Lost
- Occupational Health Statistics
- Working Days Lost
- Days Lost Per Worker
- Industrial Classification
- Self Reported Work Related Illness
Days Lost Due To Work Related Illness By Industry In UK
This dataset contains estimates for the number of working days lost due to work-related illness and the rate of working days lost per worker, by type of illness and 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
For working days lost, the Labor Force Survey (LFS) gives estimates and rates of the total number of days off work due to work-related illness where:
– Working days lost due to work-related illness is a measure of the total time lost due to all episodes of the illness over the 12 month reference period whereas working days lost due to workplace injury is a measure of the elapsed time between injury and returning to work and does not include any subsequent time taken off work
– Rates presented are in the form of average annual working days lost (full-day equivalent) per full-time equivalent worker
People who have conditions which they think have been caused or made worse by their current or past work, as estimated from the LFS. Estimates are based on the most serious work-related illness, as defined by the individual, if they have more than one. HSE has collected data on ill health through the LFS, periodically since 1990 and annually from fiscal year 2001-2002, with the exception of fiscal years 2002-2003 and 2012-2013 when no ill health data were collected.
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 |
2005-2019 |
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, Work-Related Illness, Working Days Lost, Occupational Health Statistics, Working Days Lost, Days Lost Per Worker, Industrial Classification, Self Reported Work Related Illness |
Other Titles | Estimated Working Days Lost Due To Work-Related Illness By Industry in United Kingdom, UK Labor Force Survey Statistics For Working Days Lost Due To Work-Related Illness By Industry, HSE Statistics For Working Days Lost Due To Work-Related Illness 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 a single year, three years or five years | string | - |
Illness_Category_Level | Specifies the level of categorization (detail) for the illness type | string | required : 1 |
Illness_Category | Indicate the illness type (category) | 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 illness 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, 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, regardless of age and gender | 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 | Illness Category Level | Illness Category | 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 |
Annual | All | All illness | All | All | All industries (current/most recent job) | All | 2001-2002 | 26684 | 24314 | 29054 | 1 | 1 | 1 | False | ||
Annual | All | All illness | All | All | All industries (current/most recent job) | All | 2003-2004 | 23984 | 21642 | 26327 | 1 | 1 | 1 | No | False | |
Annual | All | All illness | All | All | All industries (current/most recent job) | All | 2004-2005 | 23227 | 20857 | 25597 | 1 | 1 | 1 | No | False | |
Annual | All | All illness | All | All | All industries (current/most recent job) | All | 2005-2006 | 19136 | 17027 | 21244 | 1 | 1 | 1 | Lower | False | |
Annual | All | All illness | All | All | All industries (current/most recent job) | All | 2006-2007 | 24126 | 21732 | 26520 | 1 | 1 | 1 | Higher | False | |
Annual | All | All illness | All | All | All industries (current/most recent job) | All | 2007-2008 | 22768 | 20407 | 25128 | 1 | 1 | 1 | No | False | |
Annual | All | All illness | All | All | All industries (current/most recent job) | All | 2008-2009 | 21727 | 19297 | 24156 | 1 | 1 | 1 | No | False | |
Annual | All | All illness | All | All | All industries (current/most recent job) | All | 2009-2010 | 19753 | 17439 | 22068 | 1 | 1 | 1 | No | False | |
Annual | All | All illness | All | All | All industries (current/most recent job) | All | 2010-2011 | 18701 | 16349 | 21054 | 1 | 1 | 1 | No | False | |
Annual | All | All illness | All | All | All industries (current/most recent job) | All | 2011-2012 | 18869 | 16529 | 21210 | 1 | 1 | 1 | No | False |