6103.0 - Labour Force Survey Standard Products and Data Item Guide, May 2015  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 11/06/2015   
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Concepts and data items: F - K

F
Family
Former worker
Full-time employed
Full-time workers

G
Geography
Greater capital city and rest of state
Greater capital city statistical area (GCCSA)
Gross flows

H
Has never worked before
Hours actually worked
Hours usually worked
Hours worked
Household

I
Incoming rotation group
Industry
Industry of last job
Institutionalised persons




FAMILY

Two or more persons, one of whom is at least 15 years of age, who are related in some way and are usually resident in the same household.

Families are identified firstly by the presence of either a couple relationship or a parent-child relationship, and then by a different blood relationship. In complex households, a primary family is identified in the first instance (usually a couple and/or a parent-child) and other related members of the household are allocated to the primary family.

Some households contain more than one family, a second family will only be identified in instances where the household has a couple relationship or a parent-child relationship that are not part of the primary family.

Any usual resident of a household is classified as a family member, a non-family member, a visitor (or relationship not determined). Variables are presented under the Relationship in household data item.

See RELATIONSHIP IN HOUSEHOLD




FORMER WORKER

Unemployed people who have not worked in the last 2 years are categorised as those who have never worked before (looking for first job) or those who last worked 2 or more years ago (former worker). These categories are presented as part of the Industry of last job and Occupation of last job variables.


VariablesProducts

Industry division of last job (ANZSIC)
Last worked part-time (for 2 weeks or more) less than 2 years ago (recent part-time worker) [1991-2001]
Last worked (for 2 weeks or more) 2 years ago (former worker) [1991-2001]
Last worked 2 years ago or more (former worker) [2014-current]
Has never worked for 2 weeks or more but has worked (for less than 2 weeks) [1991-2001]
Has never worked (for 2 weeks or more) before (looking for first job) [2001-2014]
Has never worked before (looking for first job) [1991-2001, 2014-current]

6291.0.55.003
Datacubes UQ2a, UQ2b

Occupation major group of last job (ANZSCO)
Last worked part-time (for 2 weeks or more) less than 2 years ago (recent part-time worker) [1991-2001]
Last worked (for 2 weeks or more) 2 years ago (former worker) [1991-2001]
Last worked 2 years ago or more (former worker) [2014-current]
Has never worked for 2 weeks or more but has worked (for less than 2 weeks) [1991-2001]
Has never worked (for 2 weeks or more) before (looking for first job) [2001-2014]
Has never worked before (looking for first job) [1991-2001, 2014-current]

6291.0.55.003
Datacubes UQ3a, UQ3b




FULL-TIME EMPLOYED

Employed persons who usually worked 35 hours or more a week (in all jobs) and those who, although usually working less than 35 hours a week, worked 35 hours or more during the reference week.

See LABOUR FORCE STATUS




FULL-TIME WORKERS

Employed persons who usually worked 35 hours or more a week (in all jobs) and those who, although usually working less than 35 hours a week, worked 35 hours or more during the reference week.

See LABOUR FORCE STATUS




GEOGRAPHY

The Australian Statistical Geography Standard (ASGS) is used to classify geographical areas of Australia for statistical purposes. In the Labour Force Survey, geographical areas relate to a person's usual residence, classified according to the ASGS.

The ASGS is constructed of approximately 347,000 mesh blocks covering the whole of Australia. The main structure of the ASGS is a hierarchy of Statistical Areas which are built from whole mesh blocks. Statistical Areas Level 1 to 3 have populations that are too small to support Labour Force Survey outputs. Statistical Areas Level 4 (SA4s) are the largest sub-state regions. They are specifically designed to perform as the smallest geographical output of Labour Force Survey data.

Geographical classifications in standard labour force outputs use the ASGS from July 1991 onwards. Where older time series are presented old classifications are used. These are clearly marked in the outputs. For more information see Information Paper: Regional Labour Force Statistics, 2014 (cat. no. 6262.0).

Geography groupings used in standard outputs include:
  • State and territory: ASGS (2011) - state or territory of usual residence during the reference week
  • Greater capital city statistical area: ASGS (2011) - state and territory capital city regions which are aggregates of Statistical Areas Level 4 (SA4s). Greater capital city statistical areas are presented with the 'rest of state' region to cover the whole of Australia without gaps or overlaps. The Greater capital city statistical area is named according to the city it represents, for example, Greater Sydney. The remainder of the state or territory is named rest of <state/territory>, for example, Rest of NSW. The whole of the ACT is included in the Greater Canberra region. Greater Canberra is presented as ACT to prevent confusion. The population of the Greater Darwin area is relatively small so estimates are presented at the territory level only. Also called Greater capital city and rest of state.
  • Labour market region (SA4): ASGS (2011) - Statistical Areas Level 4 (SA4s) and the smallest geographical output of Labour Force Survey data. Labour market regions reflect the labour markets within each state and territory.

FormatProducts

State and territory: ASGS (2011)
Greater capital city statistical area: ASGS (2011)
Labour market region (SA4): ASGS (2011)

6291.0.55.001
Table 16
Datacubes RM1, RM3

6291.0.55.003
Datacubes RQ1, RQ2

State and territory: ASGS (2011)
Greater capital city statistical area: ASGS (2011)

6291.0.55.001
Table 02
Datacubes LM1

6291.0.55.003
Datacube EQ03

State and territory (STT): ASGS (2011)

6202.0
Tables 12, 16, 19, 23
Datacube GM1

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Table 03
Datacubes LM4, LM5, LM7, EM1b, EM3b, EM4b, FM1, UM2, NM2

6291.0.55.003
Datacubes EQ06, EQ08, UQ2b, UQ3b

State and territory (STT): ASGS (2011) - New South Wales only

6202.0
Table 04

State and territory (STT): ASGS (2011) - Victoria only

6202.0
Table 05

State and territory (STT): ASGS (2011) - Queensland only

6202.0
Table 06

State and territory (STT): ASGS (2011) - South Australia only

6202.0
Table 07

State and territory (STT): ASGS (2011) - Western Australia only

6202.0
Table 08

State and territory (STT): ASGS (2011) - Tasmania only

6202.0
Table 09

State and territory (STT): ASGS (2011) - Northern Territory only

6202.0
Table 10

State and territory (STT): ASGS (2011) - Australian Capital Territory only

6202.0
Table 11


GREATER CAPITAL CITY AND REST OF STATE

State and territory capital city regions which are aggregates of Statistical Areas Level 4 (SA4s). Greater capital city statistical areas are presented with the 'rest of state' region to cover the whole of Australia without gaps or overlaps. The Greater capital city statistical area is named according to the city it represents, for example, Greater Sydney. The remainder of the state or territory is named rest of <state/territory>, for example, Rest of NSW. The whole of the ACT is included in the Greater Canberra region. Greater Canberra is presented as ACT to prevent confusion. The population of the Greater Darwin area is relatively small so estimates are presented at the territory level only. Also called Greater capital city and rest of state.

Geographical classifications in standard labour force outputs use the ASGS from July 1991 onwards. Where older time series are presented old classifications are used. These are clearly marked in the outputs. For more information see Information Paper: Regional Labour Force Statistics, 2014 (cat. no. 6262.0).

See GEOGRAPHY




GREATER CAPITAL CITY STATISTICAL AREA (GCCSA)

State and territory capital city regions which are aggregates of Statistical Areas Level 4 (SA4s). Greater capital city statistical areas are presented with the 'rest of state' region to cover the whole of Australia without gaps or overlaps. The Greater capital city statistical area is named according to the city it represents, for example, Greater Sydney. The remainder of the state or territory is named rest of <state/territory>, for example, Rest of NSW. The whole of the ACT is included in the Greater Canberra region. Greater Canberra is presented as ACT to prevent confusion. The population of the Greater Darwin area is relatively small so estimates are presented at the territory level only. Also called Greater capital city and rest of state.

Geographical classifications in standard labour force outputs use the ASGS from July 1991 onwards. Where older time series are presented old classifications are used. These are clearly marked in the outputs. For more information see Information Paper: Regional Labour Force Statistics, 2014 (cat. no. 6262.0).

See GEOGRAPHY




GROSS FLOWS

The transition between the different labour force status classifications from one point in time to the next.

The LFS sample is made up of eight rotation groups of approximately equal size and characteristics. Each rotation group is in the survey for a period of eight months. Respondents who report in consecutive months make up the common or matched sample from which gross flow figures are derived.

After taking account of the sample rotation and varying non-response in each month, the matched sample is approximately 80 percent of the original dataset for any month. For this reason, the figures presented in the gross flows products do not align with published labour force estimates.

The unmatched sample identifies those respondents who do not have a labour force status for the previous month, or those who do not have a labour force status for the current month.

VariablesProducts

Labour force status - current month
-Employed total (‘000)
-Employed full-time (‘000)
-Employed part-time (‘000)
-Unemployed (‘000)
-Labour force (‘000)
-Not in the labour force (NILF) (‘000)
-Matched sample (‘000)
-Unmatched sample (‘000)
-Unmatched in common sample (responded in current month but not in previous) (‘000)
-Incoming rotation group (‘000)
-Civilian population aged 15 years and over – current month (‘000)

6202.0
Datacube GM1

Labour force status - previous month
-Employed total (‘000)
-Employed full-time (‘000)
-Employed part-time (‘000)
-Unemployed (‘000)
-Labour force (‘000)
-Not in the labour force (NILF) (‘000)
-Matched sample (‘000)
-Unmatched sample (‘000)
-Unmatched in common sample (responded in current month but not in previous) (‘000)
-Incoming rotation group (‘000)
-Civilian population aged 15 years and over – previous month (‘000)

6202.0
Datacube GM1





HAS NEVER WORKED BEFORE

Unemployed people who have not worked in the last 2 years are categorised as those who have never worked before (looking for first job) or those who last worked 2 or more years ago (former worker). These categories are presented as part of the Industry of last job and Occupation of last job variables.


VariablesProducts

Industry division of last job (ANZSIC)
Last worked part-time (for 2 weeks or more) less than 2 years ago (recent part-time worker) [1991-2001]
Last worked (for 2 weeks or more) 2 years ago (former worker) [1991-2001]
Last worked 2 years ago or more (former worker) [2014-current]
Has never worked for 2 weeks or more but has worked (for less than 2 weeks) [1991-2001]
Has never worked (for 2 weeks or more) before (looking for first job) [2001-2014]
Has never worked before (looking for first job) [1991-2001, 2014-current]

6291.0.55.003
Datacubes UQ2a, UQ2b

Occupation major group of last job (ANZSCO)
Last worked part-time (for 2 weeks or more) less than 2 years ago (recent part-time worker) [1991-2001]
Last worked (for 2 weeks or more) 2 years ago (former worker) [1991-2001]
Last worked 2 years ago or more (former worker) [2014-current]
Has never worked for 2 weeks or more but has worked (for less than 2 weeks) [1991-2001]
Has never worked (for 2 weeks or more) before (looking for first job) [2001-2014]
Has never worked before (looking for first job) [1991-2001, 2014-current]

6291.0.55.003
Datacubes UQ3a, UQ3b.





HOURS ACTUALLY WORKED

The number of hours a person actually worked during the reference week, which is the week prior to interview.

Actual hours of work refers to a specified reference period (e.g. a week) and includes:
  • hours actually worked during normal periods of work;
  • time spent in addition to hours worked during normal periods of work (including overtime);
  • time spent at the place of work on activities such as the preparation of the workplace, repairs and maintenance, preparation and cleaning of tools, and the preparation of receipts, time sheets and reports;
  • time spent at the place of work waiting or standing by due to machinery or process breakdown, accident, lack of supplies, power or internet access, etc;
  • time corresponding to short rest periods (resting time) including tea and coffee breaks or prayer breaks;
  • travel time connected to work (excluding commuting time); and
  • training and skills enhancement related to the job or employer.

Excluded are:
  • hours paid for but not worked, such as paid annual leave, public holidays or paid sick leave;
  • meal breaks (e.g. lunch breaks);
  • paid and unpaid time 'on call';
  • time spent on travel to and from work when no productive activity for the job is performed (e.g. commuting time); and
  • time off during working hours to attend outside educational activities, even if it is authorised, e.g. those not connected to the job or employer.

For multiple job holders the LFS collects a separate measure of actual hours worked in main job and in all jobs.

FormatProducts

Hours actually worked in all jobs - summary variables

6291.0.55.001
Table 09
Datacubes EM1a, EM1b, EM6, FM3

6291.0.55.003
Tables 11, 12, 13
Datacubes EQ02, EQ03, EQ04, EQ05, EQ06, EQ07a, EQ07b, EQ08, EQ09, EQ11, EQ12, EQ13, RQ1, RQ2

Hours actually worked in all jobs - detailed hour groups

6291.0.55.001
Table 09
Datacubes EM1a, EM1b, FM3

6291.0.55.003
Tables 11, 12, 13
Datacubes EQ04, EQ11

Hours actually worked in main job - summary variables

6291.0.55.001
Datacubes EM4a, EM4b

Hours actually worked in main job - detailed hour groups

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Datacubes EM4a, EM4b


HOURS USUALLY WORKED

Hours usually hours worked refers to a typical period rather than a specified reference period. The concept of hours usually hours worked applies both to persons at work and to persons temporarily absent from work. The time includes all regular paid and unpaid overtime.


FormatProducts

Hours usually worked in all jobs - summary variables

6291.0.55.001
Table 10
Datacubes EM3a, EM3b

6291.0.55.003
Datacubes EQ10

Hours usually worked in all jobs - detailed hour groups

6291.0.55.001
Table 10
Datacubes EM3a, EM3b

6291.0.55.003
Datacubes EQ10





HOURS WORKED

See:



HOUSEHOLD

A group of one or more persons in a dwelling including any number of families or non-family members. Households are groups who consider themselves to be separate from other persons (if any) in the dwelling. Lodgers who receive accommodation but not meals are treated as separate households. Boarders who receive both accommodation and meals are not treated as separate households.

Households are an important operational unit of the Labour Force Survey. See Labour Statistics: Concepts, Sources and Methods, 2013 (cat. no. 6102.0.55.001).




INCOMING ROTATION GROUP

The LFS sample is made up of eight rotation groups of approximately equal size and characteristics. Each rotation group is in the survey for a period of eight months. Each month a new rotation group enters the sample to replace the rotation group that completed its eighth survey the month before. The new rotation group is called the incoming rotation group.

Gross flows examines the transition between different labour force status classifications from one point in time to the next. Respondents who report in consecutive months make up the common or matched sample from which gross flow figures are derived.

After taking account of the sample rotation and varying non-response in each month, the common or matched sample is approximately 80 percent of the original dataset for any month. The figures presented in gross flows do not align with published labour force estimates. The unmatched sample identifies those respondents who do not have a labour force status for the previous month, or those who do not have a labour force status for the current month.


VariablesProducts

Labour force status - current month
-Employed total (‘000)
-Employed full-time (‘000)
-Employed part-time (‘000)
-Unemployed (‘000)
-Labour force (‘000)
-Not in the labour force (NILF) (‘000)
-Matched sample (‘000)
-Unmatched sample (‘000)
-Unmatched in common sample (responded in current month but not in previous) (‘000)
-Incoming rotation group (‘000)
-Civilian population aged 15 years and over – current month (‘000)

6202.0
Datacube GM1

Labour force status - previous month
-Employed total (‘000)
-Employed full-time (‘000)
-Employed part-time (‘000)
-Unemployed (‘000)
-Labour force (‘000)
-Not in the labour force (NILF) (‘000)
-Matched sample (‘000)
-Unmatched sample (‘000)
-Unmatched in common sample (responded in current month but not in previous) (‘000)
-Incoming rotation group (‘000)
-Civilian population aged 15 years and over – previous month (‘000)

6202.0
Datacube GM1





INDUSTRY

The Australian and New Zealand Standard Industrial Classification (ANZSIC) 2006 (Revision 2.0) (cat. no. 1292.0) is used to classify industries in Australia and New Zealand. In the Labour Force Survey, ANZSIC is used to describe the industry of an employed person's main job or business, or an unemployed person's last job or business.

ANZSIC is a hierarchical classification that provides a broad overall picture of the economy at the division level (1 digit), and increasingly detailed dissections at the subdivision (2 digit), group (3 digit) and class (4 digit) levels. Market sector industries include all ANZSIC divisions except for Public administration and safety, Education and training, and Health care and social assistance. These three divisions make up the non-market sector.

Applicable to employed people only.


FormatProducts

Industry division of main job (ANZSIC)

6291.0.55.003
Tables 04, 05, 11
Datacubes EQ03, EQ05, EQ09, EQ10, EQ11, EQ12, RQ1

Industry division and sub-division of main job (ANZSIC)

6291.0.55.003
Table 06

Industry division, sub-division and group of main job (ANZSIC)

6291.0.55.003
Datacube EQ06

Market sector
-Agriculture, forestry and fishing
-Market excluding agriculture (rest of market)
Non-market sector
-Education and training
-Non-market excluding education and training (rest of non-market)

6291.0.55.003
Datacubes EQ03, EQ05, EQ06, EQ09, EQ10, EQ11, EQ12, RQ1





INDUSTRY OF LAST JOB

The industry an unemployed person last worked in, classified according to the Australian and New Zealand Standard Industrial Classification (ANZSIC) 2006 (Revision 2.0) (cat. no. 1292.0).

Industry of last job is collected from unemployed people who have worked in the last 2 years.

Unemployed people who have not worked in the last 2 years are categorised as those who have never worked before (looking for first job) or those who last worked 2 or more years ago (former worker). These categories are presented as part of the Industry of last job variable.


VariablesProducts

Industry division of last job (ANZSIC)
Last worked part-time (for 2 weeks or more) less than 2 years ago (recent part-time worker) [1991-2001]
Last worked (for 2 weeks or more) 2 years ago (former worker) [1991-2001]
Last worked 2 years ago or more (former worker) [2014-current]
Has never worked for 2 weeks or more but has worked (for less than 2 weeks) [1991-2001]
Has never worked (for 2 weeks or more) before (looking for first job) [2001-2014]
Has never worked before (looking for first job) [1991-2001, 2014-current]

6291.0.55.003
Datacubes UQ2a, UQ2b





INSTITUTIONALISED PERSONS

Residents of selected institutions or special dwellings excluding live-in staff who do not usually live in a private dwelling. Institutions include hospitals, homes and prisons.

'Institutionalised' is presented as a residual category for Reason not in the labour force, Year left school, and Country of birth.