Wednesday, December 19, 2018

Surveillance-System Monitor - DOT 379.367-010 - and School Bus Monitor - DOT 372.667-042 - Occasional Handling and No Fingering

We used the SCO and the aptitudes for dexterity to show that there really are not a significant number of jobs for a person limited to light work (six hours of standing/walking), occasional handling, and no fingering. There is more than one to tackle the problem. We look at surveillance-system monitor (DOT 379.367-010) and school bus monitor (DOT 372.667-042) without the benefit of the O*Net or Occupational Requirements Survey.

Surveillance-system monitor (DOT 379.367-010) belongs to protective service workers, all other (SOC 33-9099) and gaming surveillance officers and gaming instructors (SOC 33-9031). School bus monitor (DOT 372.667-042) belongs to protective service workers, all other (SOC 33-9099).  The O*Net does not address protective service workers, all other; the code ends with a "9" and is an "all other" group. The Occupational Requirements Survey data as December 1, 2018, does not address protective service workers, all other.  We can check the OOH to determine aggregate job numbers and the typical education/training.

33-9099 Protective service workers, all other

Typical Education Needed
High school diploma or equivalent
Work Experience in a Related Occupation
None
Typical On-The-Job Training Needed to Attain Competency
Short-term on-the-job training
2016 Employment
133,800

Incumbents have at least some college in 78.8% of jobs.

The Occupational Employment Statistics estimates the occupational group at 135,390.

To winnow down this occupational group to size, we combine that number of jobs with the group of  lifeguards, ski patrol, and other recreational protective service workers (SOC 33-9092).  The OOH describes this occupational group as representing 152,100 jobs.  The O*NET states that 23% of those jobs are full-time; approximately 34,980 jobs are full-time.

The Current Population Survey lumps life guards and all other protective service workers together in stating the incidence of full-time work.  CPS states that is aggregation represents 49,000 full-time jobs.  That leaves about 16,000 full-time jobs inside of protective service workers, all other (SOC 33-9099).  The list of DOT codes placed inside of SOC 33-9099 is short:

DOTCode
DOTTitle
SVP
STRENGTH
199.267-026
POLYGRAPH EXAMINER
5
L
372.367-010
COMMUNITY SERVICE OFFICER, PATROL
3
L
372.667-042
SCHOOL BUS MONITOR
2
L
376.137-010
MANAGER, INTERNAL SECURITY
7
L
377.267-010
DEPUTY UNITED STATES MARSHAL
5
M
379.367-010
SURVEILLANCE-SYSTEM MONITOR
2
S

Deputy Marshal is clearly a full-time position.  There are more than 3,900 U.S. Deputy Marshals in the nation.  We are now down to circa 12,000 full-time protective service workers, all other in the five remaining occupations.

The OES reports school employee and bus transportation as providing 24,120 jobs in the nation for protective service workers, all other.  Annual wages are calculated by multiplying the hourly wage by 2,080 regardless of the number of hours actually worked.  Federal employment in airports, train stations, and bus depots is not listed as a top employing industry.  We can confidently conclude that the number of jobs in protective service workers, all other (SOC 33-9099) is not significant.  See also Beltran v. Astrue, 700 F.3d 386 (9th Cir. 2012).

Another method for gripping this occupational group is to use Personal Care and Service Occupations (SOC 39-0000).

33-0000.00 (workers in protective service occupations)

Series ID: ORUV1000038P00000064
Not seasonally adjusted
Series Title: % of workers in protective service occupations; svp is short demonstration only
Requirement: Education, Training, And Experience
Occupation: workers in protective service occupations
Estimate: svp is short demonstration only
YearPeriodEstimate
2017Annual4.4

Series ID: ORUV1000038P00000065
Not seasonally adjusted
Series Title: % of workers in protective service occupations; svp is beyond short demonstration, up to & including 1 month
Requirement: Education, Training, And Experience
Occupation: workers in protective service occupations
Estimate: svp is beyond short demonstration, up to & including 1 month
YearPeriodEstimate
2017Annual28.3
In this broad classification, 32.7% of jobs are unskilled.  We don't have enough data to use basic algebra to eliminate detailed groups of jobs, so we use this figure.  

Series ID: ORUP1000038P00000234
Not seasonally adjusted
Series Title: protective service occupations; pounds maximum weight lifted/carried (10th percentile)
Requirement: Physical Demands
Occupation: protective service occupations
Estimate: pounds maximum weight lifted/carried (10th percentile)
YearPeriodEstimate
2017Annual10

Series ID: ORUP1000038P00000235
Not seasonally adjusted
Series Title: protective service occupations; pounds maximum weight lifted/carried (25th percentile)
Requirement: Physical Demands
Occupation: protective service occupations
Estimate: pounds maximum weight lifted/carried (25th percentile)
YearPeriodEstimate
2017Annual25

The lifting/carrying figures tell us that we are looking at 10% for the group could be sedentary and something less than 25% could be light, again no more specific data to narrow the estimation.  The ORS does not provide data for sitting or standing/walking beyond the "sitting vs. standing/walking at will."

Series ID: ORUP1000038P00000769
Not seasonally adjusted
Series Title: % of workers in protective service occupations; fine manipulation is required
Requirement: Physical Demands
Occupation: workers in protective service occupations
Estimate: fine manipulation is required
YearPeriodEstimate
2017Annual97.7

Series ID: ORUP1000038P00000771
Not seasonally adjusted
Series Title: % of workers in protective service occupations; gross manipulation is required
Requirement: Physical Demands
Occupation: workers in protective service occupations
Estimate: gross manipulation is required
YearPeriodEstimate
2017Annual99.9

The manipulative requirements put the number of job with no fine manipulation at 2.3% and no gross manipulation at 0.1%.  Assuming a rough accuracy of this data, we get results:

# of jobs
% unskilled
# of unskilled jobs
133,800
32.7%
43,753
# of unskilled jobs
% sedentary
# sedentary
4,800
10%
4,375
# of unskilled jobs
% light or sedentary
light or sedentary
4,800
24%
32,112
light or sedentary
% no fine manipulation 
# no fine manipulation 
32,112
2.3%
739
# no fine manipulation
% no gross manipulation
# no gross/no fine
739
0.1%
< 739

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