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TRANSCRIPT
Industry Workforce Analysis: Contract Cleaning
ACT Long Service Leave Authority 2020
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Index
1. Background 3
1.1 The Scheme 3
1.2 Overview of the Authority’s registered employee & employer database 3
1.3 Data scope 3
2. Point in time analysis 5
2.1 Number of employees and positions 5
2.2 Multiple position holders 5
2.3 Length of service 6
2.4 Turnover rates 7
2.5 Age of workers 8
2.6 Median wages by sub-sector 9
2.7 Median wages by age 10
2.8 Median wages by length of service 10
2.9 Organisation size 11
3. Time series analysis 13
3.1 Number of positions and registered individuals in the Industry 13
3.2 Number of positions by sub-sector 14
3.3 Growth rate of registered positions 14
3.4 Sub-sector share of Industry positions 15
3.5 Median ages 16
3.6 Wage growth over time 17
3.7 Organisational size 18
4. Glossary 20
Disclaimer: This report has been compiled from data held in the ACT Long Service Leave Authority’s database as described in chapter 1.3. Information in this report is provided ‘as is’ and neither the ACT Long Service Leave Authority, nor Insight Consulting Australia, make any assurances about the accuracy or completeness of this information.
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1. Background
1.1 The Scheme The ACT Long Service Leave Authority was established in 2010 under the Long Service Leave (Portable Leave Schemes) Act 2009. The Authority administers portable long service leave benefit schemes for the:
Building and Construction Industry Contract Cleaning Industry Community Sector Industry Security Industry
The schemes enable workers (whether part time, full time, casual or sub-contractor) to transfer from employer to employer without losing their accrued service entitlements. The Contract Cleaning Scheme was established on 24 June 2000. Effective from 1 July 2016 coverage under this scheme was extended to include waste workers and their employers. Contract Cleaning Industry employers are legally required to register with the Authority and declare the wages and days worked for all employees via quarterly returns (via an online portal). The Authority carries out education and compliance activities to ensure organisations are aware of and meet their legal responsibilities under the Act.
1.2 Overview of the Authority’s registered employee & employer database All registered employees and employers are allocated a unique identification number within the Authority’s database. Each employer is allocated one primary classification such as contract cleaning, waste sorting or waste collection. Quarterly reports detailing service and ordinary wages for each employee are submitted by employers. The greater the length of time that an employee works within the industry the more quarterly reports will be submitted and held in the Authority database. For example, if a worker is employed by a single employer for one year, then four separate quarterly reports will be held against their registration number during that time. If they are employed for five years, the system will hold 20 quarterly reports. If an employee works for more than one employer, a separate report will be returned for each position, for each quarter (or part thereof) they are employed. If an employer changes their employer, then a separate quarterly return will be submitted by each respective employer during the quarterly reporting period, noting the employee’s start and cease date. When an employee ceases work in the Industry, they can remain inactive for four years. In the lead up to the mark of four years, the Authority posts a letter to the ceased employee’s registered address advising them that their account will be deregistered if they have not had service recorded for four years. Once a worker has a break from the industry for more than four years, their account with the Authority is deregistered. Any positions that remain vacant for an entire three-month reporting period are uncaptured in the data. 1.3 Data scope For the purposes of this analysis, the Authority generated a file of quarterly returns for a six-year period, from the time period of 1 July 2013 to 30 June 2019. The file contained 73,560 records, relating to 7,308 unique workers. The table below provides a breakdown of the registration status of these workers as at 11 July 2019:
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Number of workers reported between 1 January 2013 to 31 December 2018 by registration status (as at 18 Apr 2019)
Active (Employee) 2,802
Active (Contractor - Working Director) 1
Active (Ceased) 2,085
Active (4 Year Rule No Letter Sent) 102
Active (4 Year Rule Letter Sent) 253
Deregistered (Deceased) 4
Deregistered (Deregistered) 1,588
Deregistered (Paid out) 112
Inactive (Greater than 5 years of service, but not paid out)
56
Inactive (Greater than 55 days of service, registered pre-July 2012, aged 55+, but not paid out)
38
Pending 265
Inactive (Interstate-Ignore 4 year rule)
2
TOTAL 7,308
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2. Point in time analysis
The point in time analysis presented in this chapter relates to the status of the industry as at 30 June 2019. In this analysis, records included in the April-June 2019 return which relate to positions where the worker has stopped working for the employer before 30 June 2019 are ignored. This eliminates the double counting that occurs in a quarterly report when one employee leaves and another starts in the same position. In this scenario there is only one position and only one worker at any time. This type of point in time analysis is the same methodology used by the Australian Bureau of Statistics in conducting the five yearly Census of Population and Housing.
2.1 Number of employees and positions As at 30 June 2019, there were 2,592 employees working in a total of 3,119 positions.
Contract Cleaning held the largest number of positions (2,996) followed by Waste Workers (123)
2.2 Multiple position holders A notable proportion of workers in the Industry concurrently held more than one position. As at 30 June 2019, 17.2 per cent of workers held more than one position, with 31.2% of Industry positions filled by a multiple position holder.
17.9 per cent of workers in the Contract Cleaning sub-sector held more than one position, with 32.2% of positions filled by a multiple position holder.
3.3 per cent of workers in the Waste Workers sub-sector held more than one position, with 3.3% of positions filled by a multiple position holder.
0
500
1,000
1,500
2,000
2,500
3,000
3,500
Contract Cleaning Waste Workers
Number of positions by sub-sector, 30 June 2019
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The median length of service for Contract Cleaning Industry workers covered by the Scheme was three years. Half of all workers had three years or less of experience, and half had three years or more. The average (mean) length of service could not be accurately determined as the Authority only records service from 24 June 2000 onwards. Cleaning Industry employees registered with the Scheme become eligible to access long service leave of 6.06 weeks after 7 years of service in the industry. The file generated by the Authority for this analysis did not indicate which eligible employees had already accessed leave.
2.4 Turnover rates Turnover rates are a valuable source of information for workforce planning, as they highlight the burden of recruitment and orientation efforts, and show the degree of success in retaining workers in their current positions. The three-month (1 April 2019 - 30 June 2019) turnover rate in positions in various sub-sectors is shown below. Note that a portion of those exiting their positions are moving to other positions in the same sector or within the Industry and are then represented as New Workers.
QUARTERLY TURNOVER RATES
SUB-SECTOR NEW WORKERS RETAINED WORKERS EXITING WORKERS
Contract Cleaning 326
10.9%
2,557
85.3%
113
3.8%
Waste Workers 8
6.0%
115
93.0%
0
0%
The sub-sector with the highest proportion of their workforce as new entrants was Contract Cleaning (10.9 per cent over the three-month period) followed by Waste Workers (6 per cent).
718
497
343
271
189 195
124 113 89 63 57 39 52 34 22
129184
0
100
200
300
400
500
600
700
800
1 yearor less
1 year 2 years 3 years 4 years 5 years 6 years 7 years 8 years 9 years 10years
11years
12years
13years
14years
15years
16years
Length of time in the the Industry
9
2.6 Median wages by sub-sector Wages are a reflection of hours worked, and the Contract Cleaning Industry has a lower proportion of full-time workers. It is not possible to determine which workers within the Authority database are employed full-time, however general information is available from the 2016 Census of Population and Housing. In 2016, 35 per cent of those employed from the group comprised of Commercial Cleaner, Domestic Cleaner or Housekeeper worked full time, compared to 72 per cent of all workers in the ACT economy. The Census also showed that the median Industry income was lower than the median income of all ACT workers.1 The wages of employees are outlined below. Note that the figures show wages paid per position, so multiple position holders will naturally collect more than one salary.
1 Australian Bureau of Statistics 2016, Census of Population and Housing (2016), TableBuilder. Findings based on use of ABS TableBuilder data
0
2
4
6
8
10
12
14
16
18
20
Under 25 25-34 35-44 45-54 55-64 65 and older
Age distribution of Waste Workers, 30 June 2019
$29,240
$55,196
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
Contract Cleaning Waste Workers
Median Annual Gross Ordinary Pay
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Median Annual Gross Ordinary Pay
Median Quarterly Gross Ordinary Pay
Median Daily Pay
Contract Cleaning $29,240 $7,310 $82
Waste Workers $55,196 $13,799 $152
2.7 Median wages by age As at 30 June 2019, the age cohorts with the highest median pay rate were the 45-54 and 55-64 age groups. It is postulated that the correlation between higher age and higher pay rates is a reflection of greater industry experience amongst these workers. Median Annual Gross
Ordinary Pay Median Quarterly
Gross Ordinary Pay Median Daily Pay
Under 25 years of age $29,412 $7,353 $83
25-34 years of age $26,776 $6,694 $76
35-44 years of age $29,756 $7,439 $83
45-54 years of age $34,232 $8,558 $95
55-64 years of age $34,904 $8,726 $96
65 years and older $32,124 $8,031 $88
2.8 Median wages by length of service Those with less than one year of service in the Industry had the lowest annual gross ordinary pay ($22,360). There is a loose association with length of industry service and higher wages.
$0
$5,000
$10,000
$15,000
$20,000
$25,000
$30,000
$35,000
$40,000
$45,000
1 yearor less
1-2years
2-3years
3-4years
4-5years
5-6years
6-7years
7-8years
8-9years
9-10years
10-11years
11-12years
12-13years
13-14years
14-15years
15-16years
16-17years
Median Annual Gross Ordinary Pay, by length of service in Industry
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Length of Industry service
Median Annual Gross Ordinary Pay
Median Quarterly Gross Ordinary Pay
Median Daily Pay
1 year or less $22,360 $5,590 $67
1-2 years $29,520 $7,380 $82
2-3 years $35,520 $8,880 $98
3-4 years $30,576 $7,644 $85
4-5 years $30,536 $7,634 $84
5-6 years $28,156 $7,039 $78
6-7 years $29,696 $7,424 $82
7-8 years $36,036 $9,009 $100
8-9 years $32,580 $8,145 $90
9-10 years $37,440 $9,360 $103
10-11 years $32,596 $8,149 $91
11-12 years $40,704 $10,176 $112
12-13 years $39,416 $9,854 $108
13-14 years $35,624 $8,906 $98
14-15 years $37,284 $9,321 $102
15-16 years $35,656 $8,914 $98
16-17 years $36,960 $9,240 $102
2.9 Organisation size As at 30 June 2019, there were 127 registered employers in the Industry, with 118 recording service for at least one employee in the Apr-Jun quarter. The mode (most frequent) number of employees per organisation was less than 10, with 57 per cent of all positions being held by an organisation of this size.
The median number of positions per employer was 26.
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More than half of all positions (51 per cent) in the Industry were held by the top ten largest employers, while the proportion of positions held by the top 20 largest employers was 70 per cent.
67
2015
85 3
0
10
20
30
40
50
60
70
80
Less than 10employees
10-24 employees 25-49 employees 50-99 employees 100-199 employees 200 employees ormore
Number of organisations by number of employees
13
3. Time series analysis
The time series analysis seeks to identify trends within the overall Industry and various sub-sectors. Yearly figures were determined by averaging the results of the four quarterly reports. The number of records and the number of individuals increased steadily over each progressive quarter.
3.1 Number of positions and registered individuals in the Industry The number of positions reported by registered employers grew between 2013/14 and 2018/19, as well as the number of registered individuals.
2,837 2,943 2,9363,089
3,2283,359
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
2013/2014 2014/2015 2015/2016 2016/2017 2017/2018 2018/2019
Average number of positions across reporting periods
2,444 2,434 2,4422,565 2,591
2,711
0
500
1,000
1,500
2,000
2,500
3,000
2013/2014 2014/2015 2015/2016 2016/2017 2017/2018 2018/2019
Average number of individuals across reporting periods
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3.2 Number of positions by sub-sector The number of positions reported by registered employers grew for Contract Cleaning and Waste Sorting between 2016/17 and 2018/19.
Number of positions by sub-sector
2016/2017 2017/2018 2018/2019
Contract Cleaning 3,008 3,136 3,235
Waste Workers 81 92 124
Total 3,089 3,228 3,359
3.3 Growth rate of registered positions The number of positions in most sub-sectors increased over the 2016/17 to 2018/19 reporting period, as shown below:
Growth rate of positions by sub-sector, 2013/14 to 2018/19
Contract Cleaning 7%
Waste Workers 53%
Total 8%
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
2013/2014 2014/2015 2015/2016 2016/2017 2017/2018 2018/2019
Median number of positions in Industry, 2013/14 to 2018/19
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3.4 Sub-sector share of Industry positions The Contract Cleaning sub-sector remained the largest sub-sector between 2016/17 to 2018/2019. 2016/2017 2017/2018 2018/2019
Contract Cleaning 97% 97% 96%
Waste Workers 3% 3% 4%
0
500
1,000
1,500
2,000
2,500
3,000
3,500
2016/2017 2017/2018 2018/2019
Median number of positions in Contract Cleaning, 2016/17 to 2018/19
0
20
40
60
80
100
120
140
2016/2017 2017/2018 2018/2019
Median number of positions in Waste Workers, 2016/17 to 2018/19
16
3.5 Median ages The median age of workers in the Industry was 40.8 years in 2018/2019.
41.6 41.4 41.5 41.3 41.1 40.8
0
5
10
15
20
25
30
35
40
45
2013/2014 2014/2015 2015/2016 2016/2017 2017/2018 2018/2019
Industry median ages, 2013/14 to 2018/19
41.2 41 40.8
0
5
10
15
20
25
30
35
40
45
2016/2017 2017/2018 2018/2019
Contract Cleaning median ages, 2016/17 to 2018/19
45.1 43.941.6
0
5
10
15
20
25
30
35
40
45
50
2016/2017 2017/2018 2018/2019
Waste Workers median ages, 2016/17 to 2018/19
18
2016/2017 2017/2018 2018/2019
Contract Cleaning $26,740
$26,907
$27,999
Waste Workers $59,309
$56,055
$53,180
Total $27,595
$27,733
$28,926
3.7 Organisational size Over the six-year period, there were 196 unique employers recorded and not all employers remained active throughout the reporting period.
Between 2013/14 and 2018/19, the number of employers increased by 20.6 per cent (from 102 to 123 employers). During the same time period, the number of positions increased by 18 per cent (from 2,837 to 3,359 positions).
The median number of positions per employer remained fairly stable.
2013/2014 2014/2015 2015/2016 2016/2017 2017/2018 2018/2019
Number of employers 102 103 101 112 119 123
Number of positions 2,837 2,943 2,936 3,089 3,228 3,359
Median number of positions per employer
27.8 28.6 29.1 27.6 27.1 27.3
Number of employers by number of workers recording service
2013/2014 2014/2015 2015/2016 2016/2017 2017/2018 2018/2019
Less than 10 employees
53 53 56 63 70 66
10-24 employees 24 20 18 19 19 24
25-49 employees 14 17 14 15 15 16
50-99 employees 5 6 5 8 8 9
100-199 employees 7 7 7 5 6 5
200 employees or more
1 1 2 2 2 3
102 103 101 112 119 123
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4. Glossary Analytics Drawing conclusions from raw data.
Baseline A starting point in the data, against which future progress is measured.
Cohort A group of people sharing the same characteristic, such as year of birth.
Construct validity The degree to which a research instrument accurately measures a theoretical
concept.
Internal validity
The degree of rigour related to the research study design, the selection of study instruments, the process of conducting research, and the method of attributing findings to the study intervention rather than other confounding factors.
Mean A mean is derived from adding up all results then dividing this number by the total number of items. The mean is commonly referred to as an average.
Median A median is derived by lining up all results in order from smallest to largest. The median is the middle point at which half of the values (or participants) are above and half are below.
Missing data values A data gap results from participants unintentionally skipping questions, refusing to answer particular questions, or providing information in an incomprehensible manner.
Mode A mode is the response that occurs the most frequently.
Rigour The result of scrupulously and meticulously drawing conclusions solely from evidence, rather than from a pre-determined opinion, conviction or bias.
Trajectory An anticipated future destination, based on an examination of past data trends and known confounding factors (e.g. a workforce population projection).