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Indicators > Indicator IB3: Work and local environments
| Definition |
Low control work and living environments |
| Dimension |
Intervening factors |
| Sector |
Behaviours and environments (individual) |
| Components |
- IB3_1 Low control work environments
- IB3_2 Unemployment
- IB3_3 Violent Crime
- IB3_4 Burglary
- IB3_5 Theft
- IB3_6 Criminal damage
|
| Source |
Various – see component details |
Component IB3_1: Low control work environments
| Definition |
Proportion of people working in semi-routine and routine
employment |
| Source Numerator |
2001, 2003: Census Area Statistics Table CS042, NS-SEC by age,
(Cells 43 and 50), ONS
|
| 2001 Ethnic: Census Area Statistics Table TT013, NS-SEC by age, (Cells 953-986), ONS |
| Source Denominator |
2001, 2003: Census Area Statistics Table CS042, NS-SEC by age,
(Cell 1) 2001, ONS
|
| 2001 Ethnic: Census Area Statistics Table TT013, NS-SEC by age, (Cell 1-17) 2001, ONS |
Additional details
Various studies have found that low control at work increases the
risk of developing depression and anxiety (Griffin JM, Fuhrer R,
Stansfeld SA, Marmot M. (2002) ‘The importance of low control at
work and home on depression and anxiety: do these effects vary by
gender and social class?’. Social Science and Medicine,
54(5):783-98) and that the largest contribution to the socioeconomic
gradient in coronary heart disease frequency was from low control at
work (Marmot MG, Bosma H, Hemingway H, Brunner E, Stansfeld S.
(1997) ‘Contribution of job control and other risk factors to
social variations in coronary heart disease incidence’, Lancet,
350(9073):235-9; Bosma H, Marmot MG, Hemingway H, Nicholson AC,
Brunner E, Stansfeld SA. (1997) ‘Low job control and risk of
coronary heart disease in Whitehall II (prospective cohort)
study’. British Medical Journal, 314(7080):558-65.). It is
therefore important to take into account how the work environment
might impact upon an individual’s health.
The National Statistics Socio-Economic Classification (NSSEC)
from the 2001 Census was used. In the nine-class version, categories
6 (semi-routine occupations) and 7 (routine occupations) were
selected to represent low control work environments. The proportion
of people in low control work environments was calculated by
dividing the number of people in routine and semi-routine
occupations by all people of working age (i.e. all categories
including never worked and long-term unemployed).
Component IB3_2: Unemployment
| Definition |
Proportion of working age population involuntarily
excluded from the world of work. |
| Source Numerator |
2001, 2001 Ethnic:
- Unemployment claimant count (JUVOS) of women aged 18-59
and men aged 18-64 averaged over 4 quarters (2001, Source:
ONS)
- Incapacity Benefit claimants women aged 18-59 and men
aged 18-64 (2001, Source: DWP)
- Severe Disablement Allowance claimants women aged 18-59
and men aged 18-64 (2001, Source: DWP)
- Participants in New Deal for the 18-24s who are not
included in the claimant count (2001, Source: DWP)
- Participants in New Deal for 25+ who are not included in
the claimant count (2001, Source: DWP)
- Participants in New Deal for Lone Parents aged 18 and
over (2001, Source: DWP)
|
2003:
- Unemployment claimant count (JUVOS) of women aged 18-59 and men aged 18-64 averaged over 4 quarters (2003, Source: NOMIS)
- Incapacity Benefit claimants women aged 18-59 and men aged 18-64 (2003, Source: NOMIS)
- Severe Disablement Allowance claimants women aged 18-59 and men aged 18-64 (2003, Source: NOMIS)
- Working age population estimates (2003, Source: NOMIS; and 2001, Source: Census
|
| Source Denominator |
2001, 2001 Ethnic and 2003: Working age population, estimates by Social Disadvantage
Research Centre, Oxford |
Additional details
Unemployment is used here not as an indicator of low income,
that is measured by other indicators within the HPI, but rather
as a measure of the extra negative impact that being unemployed
or involuntarily excluded from work has. This will include psychological
impacts.
Additional details for 2003 Data
The unemployment claimant count measures how many unemployed people are claiming unemployment-related benefits (Jobseeker’s Allowance). Estimates of claimant counts are always lower than those of unemployment because some unemployed people are not entitled to claim benefits, or choose not to do so. The claimant count comes from the administrative records of Jobcentre Plus (formerly Employment Service) (www.statistics.gov.uk).
Incapacity Benefit (IB) is paid to people who are assessed as being incapable of work, either if statutory sick pay (SSP) has ended or if the claimant is not entitled to SSP. It is paid according to three different rates: The lower short-term rate (IBST(L)) is paid for the first 28 weeks of sickness and the higher short-term rate (IBST(H)) for weeks 29 to 52. The long-term rate (IBLT) is paid to people who have been sick for more than a year. (www.nomisweb.co.uk).
Until April 2001, people who were incapable of work and did not satisfy the contribution conditions for IB could get Severe Disablement Allowance (SDA), providing they had been incapable of work for at least 28 weeks. Anyone who became incapable of work before their 20th birthday could qualify on this basis alone. People who became incapable of work after their 20th birthday also had to prove they had been unable to work for at least 28 consecutive weeks due to illness or disability (www.nomisweb.co.uk).
From 6 April 2001 no new claims to SDA were accepted. From this date people under the age of 20 (or 25 if in education or training before age 20) may be able to qualify for IB without needing to satisfy the contribution conditions. SDA is now maintained for existing claimants only who were over the age of 20 at the point of change. Any existing claimants under 20 on 6 th April 2001 were transferred to long-term IB (www.nomisweb.co.uk).
Creating the Unemployment Indicator
For each of the three benefits that make up this indicator, the average number of claimants for the whole year (2003) was calculated for each Local Authority. These were then added together to give the total number of people claiming benefits in each Local Authority and then divided by the total working population estimate for 2003 (males 18-64; females 18-59), to give the proportion of people claiming unemployment benefits. The total working population was taken from the midyear population estimates.
Component IB3_3: Violent Crime
| Definition |
Rate of recorded offences of violence against the person
per 1,000 population |
| Source Numerator |
2001, 2001 Ethnic: Police Force data (constrained to Crime and Disorder
Reduction Partnership level), 2002/03 financial year, Home
Office
|
| 2003: Police Force data (constrained to Crime and Disorder Reduction Partnership level), 2003/04 financial year, Home Office |
| Source Denominator |
2001, 2001 Ethinc: Mid year population estimate 2001, ONS
|
| 2003: Mid year population estimate 2003, ONS |
Additional details
Police recorded crime data locate criminal events at their point
of occurrence and therefore act as an indicator of the incidence of
victimisation at the neighbourhood level.
Small area recorded crime data were obtained from all 39 police
forces in England. Local crime and disorder partnerships are led by
the local authorities and police, who have a legal obligation to
develop and implement a strategy for tackling crime and disorder.
The partnerships are based on the Unitary Authority for the area or,
if the council is not a Unitary Authority, the Local Authority
District (LAD) council and the County in which the LAD falls. Every
chief officer whose police area (wholly or partly) lies within this
area is also involved. There are 376 Crime and Disorder Reduction
Partnerships.
The following categories of recorded crime have been grouped to
form an indicator of violent crime:
| Home Office offence code |
Offence name |
1 4.1 4.2 |
Murder Manslaughter Infanticide |
Homicide |
| 2 |
Attempted murder |
| 37.1 |
Causing death by aggravated vehicle taking |
| 5 |
Wounding or other act endangering life |
| 8A |
Other wounding |
| 8C |
Harassment |
| 8D |
Racially aggravated other wounding |
| 8E |
Racially aggravated harassment |
| 105A |
Common assault |
| 105B |
Racially aggravated common assault |
| 34A |
Robbery of business property |
| 34B |
Robbery of personal property |
The crime rates are based on resident population and therefore
may give a misleading impression in areas where numbers of
non-residents, such as commuters and visitors are significant.
For ethnic group estimation, an SOA level weighting function was created to model incidence for individuals in each ethnic group within Local Authorities.
Component IB3_4: Burglary
| Definition |
Rate of recorded offences of burglary from a dwelling per
1,000 population |
| Source Numerator |
2001, 2001 Ethnic: Police Force data (constrained to Crime Disorder Reduction
Partnership level), 2002/03 financial year, Home Office
|
| 2003: Police Force data (constrained to Crime Disorder Reduction Partnership level), 2003/04 financial year, Home Office |
| Source Denominator |
2001, 2001 Ethnic: Mid year population estimate 2001, ONS
|
| 2003: Mid year population estimate 2003, ONS |
Additional details
Police recorded crime data locate criminal events at their point
of occurrence and therefore act as an indicator of the incidence of
victimisation at the neighbourhood level.
Small area recorded crime data were obtained from all 39 police
forces in England. Local crime and disorder partnerships are led by
the local authorities and police, who have a legal obligation to
develop and implement a strategy for tackling crime and disorder.
The partnerships are based on the Unitary Authority for the area or,
if the council is not a Unitary Authority, the Local Authority
District (LAD) council and the county in which the LAD falls. Every
chief officer whose police area (wholly or partly) lies within this
area is also involved. There are 376 Crime and Disorder Reduction
Partnerships.
The following categories of recorded crime have been grouped to
form an indicator of burglary:
| Home Office offence code |
Offence name |
| 28 |
Burglary in a dwelling |
| 29 |
Aggravated burglary in a dwelling |
| 30 |
Burglary in a building other than a dwelling |
| 31 |
Aggravated burglary in a building other than a
dwelling |
The crime rates are based on resident population and therefore
may give a misleading impression in areas where numbers of
non-residents, such as commuters and visitors are significant.
For ethnic group estimation, an SOA level weighting function was created to model incidence for individuals in each ethnic group within Local Authorities.
Component IB3_5: Theft
| Definition |
Theft rate per 1,000 population |
| Source Numerator |
2001, 2001 Ethnic: Police Force data (constrained to Crime Disorder Reduction
Partnership level), 2002/03 financial year, Home Office
|
| 2003: Police Force data (constrained to Crime Disorder Reduction Partnership level), 2003/04 financial year, Home Office |
| Source Denominator |
2001, 2001 Ethnic: Mid year population estimate 2001, ONS
|
| 2003: Mid year population estimate 2003, ONS |
Additional details
Police recorded crime data locate criminal events at their point
of occurrence and therefore act as an indicator of the incidence of
victimisation at the neighbourhood level.
Small area recorded crime data were obtained from all 39 police
forces in England. Local crime and disorder partnerships are led by
the local authorities and police, who have a legal obligation to
develop and implement a strategy for tackling crime and disorder.
The partnerships are based on the Unitary Authority for the area or,
if the council is not a Unitary Authority, the Local Authority
District (LAD) council and the county in which the LAD falls. Every
chief officer whose police area (wholly or partly) lies within this
area is also involved. There are 376 Crime and Disorder Reduction
Partnerships.
The following categories of recorded crime have been grouped to
form an indicator of theft:
| Home Office offence code |
Offence name |
| 37.2 |
Aggravated vehicle taking |
| 39 |
Theft from the person of another |
| 45 |
Theft from a vehicle |
| 48 |
Theft or unauthorised taking of motor vehicle |
| 126 |
Vehicle interference and tampering |
The crime rates are based on resident population and therefore
may give a misleading impression in areas where numbers of
non-residents, such as commuters and visitors are significant.
For ethnic group estimation, an SOA level weighting function was created to model incidence for individuals in each ethnic group within Local Authorities.
Component IB3_6: Criminal damage
| Definition |
Criminal damage rate per 1,000 population |
| Source Numerator |
2001, 2001 Ethnic: Police Force data (constrained to Crime Disorder Reduction
Partnership level), 2002/03 financial year, Home Office
|
| 2003: Police Force data (constrained to Crime Disorder Reduction Partnership level), 2002/03 financial year, Home Office |
| Source Denominator |
2001, 2001 Ethnic: Mid year population estimate 2001, ONS
|
| 2003: Mid year population estimate 2003, ONS |
Additional details
Police recorded crime data locate criminal events at their point
of occurrence and therefore act as an indicator of the incidence of
victimisation at the neighbourhood level.
Small area recorded crime data were obtained from all 39 police
forces in England. Local crime and disorder partnerships are led by
the local authorities and police, who have a legal obligation to
develop and implement a strategy for tackling crime and disorder.
The partnerships are based on the Unitary Authority for the area or,
if the council is not a Unitary Authority, the Local Authority
District (LAD) council and the county in which the LAD falls. Every
chief officer whose police area (wholly or partly) lies within this
area is also involved. There are 376 Crime and Disorder Reduction
Partnerships.
The following categories of recorded crime have been grouped to
form an indicator of criminal damage:
| Home Office offence code |
Offence name |
| 56 |
Arson |
| 58A |
Criminal damage to a dwelling |
| 58B |
Criminal damage to a building other than a dwelling |
| 58C |
Criminal damage to a vehicle |
| 58D |
Other criminal damage |
| 58E |
Racially aggravated criminal damage to a dwelling |
| 58F |
Racially aggravated criminal damage to a building other
than a dwelling |
| 58G |
Racially aggravated criminal damage to a vehicle |
| 58H |
Racially aggravated other criminal damage |
| 59 |
Threat etc to commit criminal damage |
The crime rates are based on resident population and therefore
may give a misleading impression in areas where numbers of
non-residents, such as commuters and visitors are significant.
For ethnic group estimation, an SOA level weighting function was created to model incidence for individuals in each ethnic group within Local Authorities.
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