Arboriculture statistics
All injuries in Arboriculture broken down by employment status as reported to all enforcing authorities under the Reporting of Injuries Diseases and Dangerous Occurrences Regulations 1995 (RIDDOR 95) during 2002/03 - 2010/11p*
- * Identified by Process Environment Arboriculture)
- p - provisional
Aboriculture injuries by year
| 2002/03 | 2003/04 | 2004/05 | 2005/06 | 2006/07 | 2007/08 | 2008/09 | 2009/10 | 2010/11p | Total | |
|---|---|---|---|---|---|---|---|---|---|---|
| Fatal injuries | 2 | - | 1 | - | 2 | - | - | - | 1 | 6 |
| Non-Fatal Major Injuries | 45 | 39 | 54 | 50 | 54 | 46 | 39 | 45 | 47 | 419 |
| Over 3 day injuries | 103 | 96 | 102 | 92 | 97 | 100 | 90 | 67 | 70 | 817 |
| Total | 150 | 135 | 157 | 142 | 153 | 146 | 129 | 112 | 118 | 1242 |
| 2002/03 | 2003/04 | 2004/05 | 2005/06 | 2006/07 | 2007/08 | 2008/09 | 2009/10 | 2010/11p | Total | |
|---|---|---|---|---|---|---|---|---|---|---|
| Fatal injuries | 3 | 3 | 3 | 1 | 3 | 1 | 3 | 1 | 2 | 20 |
| Non-Fatal Major Injuries | 9 | 8 | 12 | 17 | 7 | 9 | 9 | 15 | 11 | 97 |
| Over 3 day injuries | 2 | 7 | 5 | 1 | 2 | 3 | 7 | 8 | 3 | 38 |
| Total | 14 | 18 | 20 | 19 | 12 | 13 | 19 | 24 | 16 | 155 |
| 2002/03 | 2003/04 | 2004/05 | 2005/06 | 2006/07 | 2007/08 | 2008/09 | 2009/10 | 2010/11p | Total | |
|---|---|---|---|---|---|---|---|---|---|---|
| Fatal injuries | - | - | - | - | 1 | - | - | - | - | 1 |
| Non fatal to MOPS | - | 3 | 5 | 1 | 4 | 5 | 3 | 4 | 5 | 30 |
| Total | - | 3 | 5 | 1 | 5 | 5 | 3 | 4 | 5 | 31 |
| 2002/03 | 2003/04 | 2004/05 | 2005/06 | 2006/07 | 2007/08 | 2008/09 | 2009/10 | 2010/11p | Total | |
|---|---|---|---|---|---|---|---|---|---|---|
| Fatal injuries | 5 | 3 | 4 | 1 | 6 | 1 | 3 | 1 | 3 | 27 |
| Non-Fatal Major Injuries | 54 | 47 | 66 | 67 | 61 | 55 | 48 | 60 | 58 | 516 |
| Over 3 day injuries | 105 | 103 | 107 | 93 | 99 | 103 | 97 | 75 | 73 | 855 |
| Non fatal to MOPS | 0 | 3 | 5 | 1 | 4 | 5 | 3 | 4 | 5 | 30 |
| Total | 164 | 156 | 182 | 162 | 170 | 164 | 151 | 140 | 139 | 1428 |
Small numbers
This output includes counts that are relatively small numbers. (Further information that explains the need for caution when making comparisons that involve small numbers)
A further factor that needs consideration when numbers are small is that the coding of data is by its nature an error-prone process. Miscoding is more likely to occur as the coding becomes more detailed. Thus, for example, when the industrial sector (SIC) or nature of employment (SOC) is coded to a four digit level coding errors may have an important bearing.
General caveats on RIDDOR data
General caveats on RIDDOR data
RIDDOR data needs to be interpreted with care because it is known that non-fatal injuries are substantially under-reported. Currently, it is estimated that just over half of all such injuries to employees are actually reported, with the self-employed reporting a much smaller proportion. (Further information on the caveats that should be applied to analysis of RIDDOR data).
- Counts of non-fatal injuries reported under RIDDOR will almost always underestimate by a considerable amount the total that would have been recorded if there had been 100% reporting.
- Any comparisons between different subsets within RIDDOR data (eg comparisons between one industrial sector and another) need to take account of the possibility of there being markedly different reporting levels in the subsets being compared.
Members of the Public (MOPs)
'The criteria for the reportability of accidents to members of the public are complex leading to uncertainty as to whether some cases are reportable. This leads to variability the data'.
'The recording systems for reports of non-fatal accidents in sectors enforced by Local Authorities were modified in 08/09. This has resulted in a discontinuity in the time series for these data. Thus the apparent rise in the number of accidents in 08/09 and 09/10 is likely to be an artefact of these changes in the recording systems.'