329922
/en/arbeid-og-lonn/statistikker/aku/kvartal
329922
statistikk
2018-10-25T08:00:00.000Z
Labour market and earnings;Immigration and immigrants;Labour market and earnings
en
aku, Labour force survey, LFS, labour market, employees, unemployed, economically active, labour force, labour force status, employees by industry, underemployment, part-time work, hours of work, temporary staffUnemployment , Employment , Labour market and earnings, Immigration and immigrants, Labour market and earnings
true

Labour force survey

Updated

Next update

Key figures

70.7 %

labour force

Population aged 15-74, by labour force status and sex
3rd quarter 20183rd quarter 2017 - 3rd quarter 2018
Absolute numbersPer centChange in absolute numbersChange in percentage points
Labour force
Both sexes2 827 00070.755 0000.9
Males1 506 00073.940 0001.6
Females1 321 00067.515 0000.3
 
Employed persons
Both sexes2 713 00067.955 0000.9
Males1 441 00070.740 0001.6
Females1 272 00065.015 0000.3
 
Unemployed
Both sexes114 0004.00-0.1
Males65 0004.30-0.1
Females49 0003.70-0.1

See more tables on this subject

Table 1 
Population aged 15-74 by labour force status (LFS) and sex. 1000

Population aged 15-74 by labour force status (LFS) and sex. 1000
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Persons, total
Both sexes3 9353 9663 9623 9703 9773 9833 9883 996
Males2 0092 0242 0222 0262 0302 0322 0342 038
Females1 9261 9421 9401 9431 9471 9511 9541 957
 
The labour force
Both sexes2 7692 7632 7812 7722 7582 7702 8062 827
Males1 4681 4621 4691 4661 4591 4681 4911 506
Females1 3011 3021 3121 3061 2991 3021 3151 321
 
Employed persons
Both sexes2 6382 6472 6562 6582 6522 6602 6972 713
Males1 3881 3941 3971 4011 3961 4041 4281 441
Females1 2501 2531 2591 2571 2561 2561 2691 272
 
Unemployed
Both sexes131117126114105110109114
Males7968726563656365
Females5249534943454649
 
Persons outside of the labour force
Both sexes1 1661 2031 1811 1981 2191 2131 1821 169
Males541563553561571563544532
Females625640628637649649639637

Table 2 
Population aged 15-74 by labour force status (LFS) and sex. Changes from the same period in the previous year. 1000

Population aged 15-74 by labour force status (LFS) and sex. Changes from the same period in the previous year. 1000
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Persons, total
Total3931323028272626
Males2015161514131212
Females1916161514141414
 
Labour force, total
In total5-61-1313282555
Males1-6-12-611152240
Females4112-7312315
 
Employed persons
In total-199724394155
Males-861618233140
Females73916161015
 
Unemployed
In total6-14-8-20-11-12-170
Males8-11-12-12-7-7-90
Females-2-34-8-3-5-70
 
Persons outside of the labour force
Total343731431401-29
Males202228223-3-9-29
Females1515422122110

Table 3 
Population aged 15-74 by labour force status(LFS) and sex. Per cent

Population aged 15-74 by labour force status(LFS) and sex. Per cent
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Labour force in per cent of the population
Both sexes70.469.770.269.869.369.570.470.7
Males73.172.272.672.371.972.373.373.9
Females67.667.067.767.266.766.767.367.5
 
Employed persons in per cent of the population
Both sexes67.066.767.067.066.766.867.667.9
Males69.168.869.169.168.869.170.270.7
Females64.964.564.964.764.564.465.065.0
 
Unemployed persons in per cent of the labour force
Both sexes4.74.24.54.13.84.03.94.0
Males5.44.64.94.44.34.44.24.3
Females4.03.84.13.83.33.53.53.7
 
Outside the labour force in per cent of the population
Both sexes29.630.329.830.230.730.529.629.3
Males26.927.827.427.728.127.726.726.1
Females32.433.032.332.833.333.332.732.5

Table 4 
Persons in the labour force and employed persons aged 15-74, by age and sex (LFS). 1 000

Persons in the labour force and employed persons aged 15-74, by age and sex (LFS). 1 000
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Labour force
15-74 years
Both sexes2 7692 7632 7812 7722 7582 7702 8062 827
Males1 4681 4621 4691 4661 4591 4681 4911 506
Females1 3011 3021 3121 3061 2991 3021 3151 321
 
15-24 years
Both sexes369363370373358350372375
Males189188190194184181193196
Females180175180179174169179179
 
25-66 years
Both sexes2 3542 3562 3652 3532 3562 3742 3842 399
Males1 2501 2451 2471 2431 2481 2581 2661 277
Females1 1041 1111 1181 1101 1081 1151 1181 123
 
Employed
15-74 years
Both sexes2 6382 6472 6562 6582 6522 6602 6972 713
Males1 3881 3941 3971 4011 3961 4041 4281 441
Females1 2501 2531 2591 2571 2561 2561 2691 272
 
15-24 years
Both sexes328324324335326320332340
Males165165164171165162169176
Females163158160163161157163164
 
25-66 years
Both sexes2 2652 2782 2862 2782 2832 2942 3152 321
Males1 1951 2001 2021 2011 2041 2131 2271 231
Females1 0701 0791 0851 0771 0791 0821 0881 089

Table 5 
Persons in the labour force and employed persons aged 15-74, by age and sex (LFS). In per cent of the population

Persons in the labour force and employed persons aged 15-74, by age and sex (LFS). In per cent of the population
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Persons in the labour force
15-74 years
Both sexes70.469.770.269.869.369.570.470.7
Males73.172.272.672.371.972.373.373.9
Females67.667.067.767.266.766.767.367.5
 
15-24 years
Both sexes55.354.555.656.254.052.856.256.8
Males54.854.655.456.553.652.856.557.4
Females55.854.455.955.954.452.756.056.1
 
25-66 years
Both sexes81.881.381.781.281.181.681.882.2
Males84.984.084.383.983.984.685.085.4
Females78.678.579.078.478.178.578.578.8
 
Employed persons
15-74 years
Both sexes67.066.767.067.066.766.867.667.9
Males69.168.869.169.168.869.170.270.7
Females64.964.564.964.764.564.465.065.0
 
15-24 years
Both sexes49.048.648.650.349.048.150.251.4
Males47.848.047.749.848.147.349.551.6
Females50.349.349.650.950.049.050.851.2
 
25-66 years
Both sexes78.778.779.078.678.678.979.579.5
Males81.181.081.381.081.081.582.382.3
Females76.276.276.676.076.176.176.576.5

Table 6 
Persons aged 15-74, employed by contractual/usual working hours per week and unemployed, by age and sex (LFS). 1 000

Persons aged 15-74, employed by contractual/usual working hours per week and unemployed, by age and sex (LFS). 1 0001
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
1Short part-time=1-19 working hours. Long part-time=20-36 working hours, with exception of persons with 32-36 hours who classify themselves as full-time employed. Full-time = 37 or more hours, including the exceptions mentioned above.
15-74 years
Both sexes
Total3 9353 9663 9623 9703 9773 9833 9883 996
Employed persons2 6382 6472 6562 6582 6522 6602 6972 713
Short part-time331319314306331325325303
Long part-time347346355346336344357356
Full time1 9511 9721 9781 9971 9771 9792 0032 046
Not reported working hours89109811128
Unemployed persons131117126114105110109114
 
15-19 years
Both sexes
Total325322323322320322319320
Employed persons1041041041111049998109
Short part-time6362665864626057
Long part-time1310111467914
Full time2731263832302737
Not reported working hours11122120
Unemployed persons2120251915132118
 
20-24 years
Both sexes
Total343343342343344342343341
Employed persons224219219223222220234231
Short part-time7371656676787661
Long part-time3737403637323838
Full time111109112119107106117131
Not reported working hours32232442
Unemployed persons2020222018171917
 
25-54 years
Males
Total1 1081 1131 1121 1141 1161 1161 1171 119
Employed persons934938939939940943959964
Short part-time3534333337333130
Long part-time4550504849555352
Full time853852854856851853873880
Not reported working hours22212222
Unemployed persons4939413637423540
 
Females
Total1 0481 0551 0541 0561 0581 0601 0601 062
Employed persons844851855850852855858859
Short part-time8482828084818582
Long part-time167169170166167169172167
Full time592597600602599601598607
Not reported working hours22321333
Unemployed persons3129302927312730
 
55-66 years
Males
Total365368367368370372374376
Employed persons261262263262264269268268
Short part-time2017161818191816
Long part-time1716151816171818
Full time224228231226230233231233
Not reported working hours10100000
Unemployed persons76557346
 
Females
Total357360362360361362363362
Employed persons226228230227227227231231
Short part-time4036363534343536
Long part-time5653575352555654
Full time129138136139141138140141
Not reported working hours11100000
Unemployed persons33342323
 
67-74 years
Both sexes
Total390404402406408410413416
Employed persons4545464544465052
Short part-time1716151618182020
Long part-time121112129101213
Full time1717181716161819
Not reported working hours00100101
Unemployed persons00000000

Table 7 
Persons in the labour force aged 15-74, by age and sex (LFS). 1 000

Persons in the labour force aged 15-74, by age and sex (LFS). 1 000
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Both sexes
Total2 7692 7632 7812 7722 7582 7702 8062 827
15-19 years125124129130119113119127
20-24 years244239241243239238253248
25-29 years309305307307303309307313
30-39 years612614615614616619628633
40-54 years937938943934937943944945
55-66 years497499500498499503505507
67-74 years4545464544465053
 
Males
Total1 4681 4621 4691 4661 4591 4681 4911 506
15-19 years6162636758566164
20-24 years128126128127126125132132
25-29 years161158159159157157160164
30-39 years327326326325329333338340
40-54 years494492495491491496496499
55-66 years268268268267271273272273
67-74 years2829312927293134
 
Females
Total1 3011 3021 3121 3061 2991 3021 3151 321
15-19 years6462666361565863
20-24 years116113114116114113121116
25-29 years148147148148146152147149
30-39 years285287289288287286290293
40-54 years443446449443446447447446
55-66 years229230233231229230233234
67-74 years1716151616171919

Table 8 
Persons in the labour force aged 15-74, by age and sex (LFS). As per cent of all in each group

Persons in the labour force aged 15-74, by age and sex (LFS). As per cent of all in each group
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Both sexes
15-74 years70.469.770.269.869.369.570.470.7
15-19 years38.738.539.940.437.135.037.339.6
20-24 years71.069.670.571.069.669.473.872.9
25-29 years84.482.583.083.081.683.282.984.4
30-39 years87.787.187.487.087.087.288.088.5
40-54 years85.885.886.385.385.686.286.486.4
55-66 years68.868.568.768.468.368.568.568.7
67-74 years11.611.111.411.110.711.212.112.6
 
Males
15-74 years73.172.272.672.371.972.373.373.9
15-19 years36.537.037.740.335.034.037.138.7
20-24 years72.171.272.071.770.870.574.474.9
25-29 years86.683.784.484.482.882.984.686.4
30-39 years90.990.090.089.790.591.292.192.6
40-54 years88.087.688.187.287.388.388.588.8
55-66 years73.472.973.072.773.173.372.872.6
67-74 years14.814.515.614.313.714.215.616.8
 
Females
15-74 years67.667.067.767.266.766.767.367.5
15-19 years40.940.042.240.639.436.237.640.6
20-24 years69.968.068.870.368.368.373.170.7
25-29 years82.281.381.681.680.583.581.082.3
30-39 years84.383.984.684.083.382.983.684.1
40-54 years83.583.984.483.383.883.984.283.8
55-66 years64.164.064.464.163.463.664.164.7
67-74 years8.67.77.38.07.98.38.88.7

Table 9 
Employed persons aged 15-74, by sex and contractual/usual working hours per week (LFS). 1 000

Employed persons aged 15-74, by sex and contractual/usual working hours per week (LFS). 1 0001
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
1Part-time = 1-36 hours, with exception of persons with 32-36 working hours who classify themselves as full-time employed. Full-time = 37 hours and over and the cases mentioned above.
Both sexes
Total2 6382 6472 6562 6582 6522 6602 6972 713
Part-time, total678665669652667670682659
Short part-time. 1-9 hours134126125116137137134116
Short part-time. 10-19 hours197193189190194188191187
Long part-time. 20-29 hours180182188179177185193190
Long part-time. 30-36 hours166164167167158160164166
Full time, total1 9511 9721 9781 9971 9771 9792 0032 046
Full time. 32-36 hours177173181175169168172185
Full-time. 37-44 hours1 5791 6061 6031 6261 6151 6251 6431 668
Full-time. 45 hours and more191189189192189181183191
Average contractual/usual working hours34.334.334.434.534.234.134.234.6
 
Males
Total1 3881 3941 3971 4011 3961 4041 4281 441
Part-time, total205204202200206208209199
Short part-time. 1-9 hours5047464348474742
Short part-time. 10-19 hours6666636570676559
Long part-time. 20-29 hours4949514746545754
Long part-time. 30-36 hours4042424542414143
Full time, total1 1801 1871 1911 1971 1871 1901 2131 239
Full time. 32-36 hours8381848081828588
Full-time. 37-44 hours9479589599709589709871 004
Full-time. 45 hours and more146145145145145135138145
Average contractual/usual working hours36.636.636.736.736.536.436.536.9
 
Females
Total1 2501 2531 2591 2571 2561 2561 2691 272
Part-time, total473462467453460461473460
Short part-time. 1-9 hours8379787388908774
Short part-time. 10-19 hours131128126125124121126127
Long part-time. 20-29 hours132133137133131131136136
Long part-time. 30-36 hours127122125122117119124123
Full time, total772786786800791789790808
Full time. 32-36 hours9492979488868696
Full-time. 37-44 hours631648644657656655656664
Full-time. 45 hours and more4544454844464545
Average contractual/usual working hours31.731.831.832.031.631.631.631.9

Table 10 
Population aged 15-74, by main activity, part-time employment and age (LFS). 1 000

Population aged 15-74, by main activity, part-time employment and age (LFS). 1 0001
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
1
2The term employed here includes full-time employed persons, as well as part-time workers who consider the employment as their main activity.
15-74 years
Persons
Total3 9353 9663 9623 9703 9773 9833 9883 996
Part-time employees678665669652667670682659
Employed2
Total2 3892 4042 4122 4222 3982 4042 4442 477
Part-time employees438431435425421426441431
Attended school, studied
Total502513513490522521498473
Part-time employees152156158149161158152145
Homeworking
Total4940423939404341
Part-time employees74464575
Early retired/disabled
Total387382374384393381390395
Part-time employees2523222424202326
Retired
Total363387383389392395394390
Part-time employees1515151617211818
Other activities/Unspecified
Total245241237246233241220220
Part-time employees4236343339404134
 
15-19 years
Persons
Total325322323322320322319320
Part-time employees7672777170686971
Employed2
Total3539344739373245
Part-time employees88896658
Attended school, studied
Total269266272256263270270253
Part-time employees6058625756565955
Other activities/Unspecified
Total2018171918151722
Part-time employees86757658
 
20-24 years
Persons
Total343343342343344342343341
Part-time employees11010810610211311011399
Employed2
Total146143148151139138158161
Part-time employees3635363332324130
Attended school, studied
Total147155148149162155139137
Part-time employees6466636172696461
Homeworking
Total22213333
Part-time employees00000100
Other activities/Unspecified
Total4743444141474441
Part-time employees107678897
 
25-54 years
Persons
Total2 1552 1692 1662 1702 1742 1762 1762 182
Part-time employees330336335327337338340331
Employed2
Total1 7151 7211 7251 7221 7231 7281 7471 763
Part-time employees271272271263272273276276
Attended school, studied
Total8491918497948782
Part-time employees2832333132332929
Homeworking
Total3428302727283028
Part-time employees53342354
Early retired/disabled
Total163166161169171163165165
Part-time employees1010912129109
Other activities/Unspecified
Total160163159169156163147144
Part-time employees1718181818192113
 
55-66 years
Persons
Total722728728728731734737738
Part-time employees134123124123120125127124
Employed2
Total462470473471470474475474
Part-time employees11010410610699103105100
Homeworking
Total1299109999
Part-time employees21111121
Early retired/disabled
Total195189187188195192199204
Part-time employees1412121211111317
Retired
Total2533313231333226
Part-time employees23324542
Other activities/Unspecified
Total2728272726252525
Part-time employees53324544
 
67-74 years
Persons
Total390404402406408410413416
Part-time employees2827272827293233
Employed2
Total3031313029283235
Part-time employees1313131412111516
Homeworking
Total11111101
Part-time employees00000000
Retired
Total337353352356359363362363
Part-time employees1312131312151415
Other activities/Unspecified
Total2119192020191917
Part-time employees21012231

Table 11 
Employed persons aged 15-74, by major industry division (LFS). 1 000

Employed persons aged 15-74, by major industry division (LFS). 1 0001
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
1
Total2 6382 6472 6562 6582 6522 6602 6972 713
01-03 Agriculture, forestry and fishing5656575554545959
05-09 Mining and quarrying5453535554616264
10-33 Manufacturing212210210211208203204210
35-39 Power and water supply, sew./remed.act.2932303033303332
41-43 Construction204210210212213216220224
45-47 Domestic trade, car repair shops363358362359352347352351
49-53 Transportation and storage141134138135134129127126
55-56 Accomm. and food service act.7582818287898894
58-63 Information and communication971009810210299105105
64-66 Financial and insurance act.4650485353555453
68-75 Real estate, profess., scient. and tech.act.179177174179179184185187
77-82 Adm. and support service act.121122122125126128130131
84 Public administration and defence177183186181183185186183
85 Education225219218215219225222218
86-88 Human health and social work act.539540547541537540549554
90-99 Other service act.112114115115115114120122
Unspecified87674212

Table 12 
Average number of man-weeks worked (37.5 hours), by industry division (LFS). 1 000

Average number of man-weeks worked (37.5 hours), by industry division (LFS). 1 0001
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
1The time series is not adjusted for alternating holidays.
00-99 Total2 0062 0162 0231 7992 0812 0612 1221 851
01-03 Agriculture, forestry and fishing5957595656556661
05-09 Mining and quarrying4443434145485254
10-33 Manufacturing178174178154178169172156
35-39 Electricity, water supply, sewerage, waste management2526252327272924
41-43 Construction168180180163189185194173
45 Wholesale and retail trade and repair of motor vehicles and motorcycles4344413946434437
46 Wholesale trade, except of motor vehicles and motorcycles8986857787878576
47 Retail trade, except of motor vehicles and motorcycles128125124118127123125120
49-53 Transportation and storage11811011310211010310798
55-56 Acommodation and food service activities5256565758565860
58-63 Information and communication8184847286888875
64-66 Financial and insurance activities3842423847464637
68-75 Real estate, professional, scientific and technical activities147146142125151154156132
77-82 Administrative and support service activities9088898391939892
84 Public adm., defence, soc. security147149149126156158158130
85 Education155154153123164170168121
86-88 Human health and social work activities362369376329380378388330
90-99 Other service activities7678807081798674

Table 13 
Employed persons aged 15-74 and absence from work during the whole reference week, by reason for absence and sex (LFS). Per cent

Employed persons aged 15-74 and absence from work during the whole reference week, by reason for absence and sex (LFS). Per cent
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Both sexes
In total100.0100.0100.0100.0100.0100.0100.0100.0
At work83.883.886.572.986.286.989.273.0
Temporarily absent, total16.216.213.527.113.813.110.827.0
Illness3.33.43.23.13.64.23.03.0
Holiday8.08.35.420.25.13.83.620.6
Taking time off/ working time arrangement1.51.41.51.11.71.61.21.0
Laid off0.10.10.00.00.10.10.00.0
Other reason/ unspecified3.23.13.32.63.33.43.02.5
 
Males
In total100.0100.0100.0100.0100.0100.0100.0100.0
At work85.785.588.475.087.988.590.575.2
Temporarily absent, total14.314.511.625.012.111.59.524.8
Illness2.72.82.62.63.13.72.52.8
Holiday7.98.25.419.55.23.93.519.3
Taking time off/ working time arrangement1.61.61.61.41.81.71.51.2
Laid off0.20.10.00.10.10.10.10.0
Other reason/ unspecified1.81.81.91.51.92.11.91.5
 
Females
In total100.0100.0100.0100.0100.0100.0100.0100.0
At work81.781.884.570.684.385.287.870.5
Temporarily absent, total18.318.215.529.415.714.812.229.5
Illness4.04.03.83.84.34.73.53.1
Holiday8.18.55.321.04.93.73.622.0
Taking time off/ working time arrangement1.41.21.50.81.71.50.90.7
Laid off0.10.00.00.00.00.00.00.0
Other reason/ unspecified4.74.54.93.84.94.84.23.7

Table 14 
Employed persons aged 15-74 and absence from work during the whole reference week, by reason for absence and sex (LFS). 1 000

Employed persons aged 15-74 and absence from work during the whole reference week, by reason for absence and sex (LFS). 1 000
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Both sexes
In total2 6382 6472 6562 6582 6522 6602 6972 713
At work2 2112 2172 2991 9382 2852 3132 4071 979
Temporarily absent, total427430357720367347290734
Illness87908484961118081
Holiday21122014353613510296558
Taking time off/ working time arrangement4037413046423226
Laid off42111210
Other reason/ unspecified8482896988918068
 
Males
In total1 3881 3941 3971 4011 3961 4041 4281 441
At work1 1901 1921 2351 0501 2271 2421 2931 083
Temporarily absent, total198202162351169162135358
Illness3739363643513541
Holiday11011476273735550278
Taking time off/ working time arrangement2322231925242118
Laid off31011210
Other reason/ unspecified2526272127302821
 
Females
In total1 2501 2531 2591 2571 2561 2561 2691 272
At work1 0211 0251 0648871 0581 0701 114896
Temporarily absent, total229228195370198186155376
Illness5051484753594540
Holiday10210667264624746280
Taking time off/ working time arrangement171518102118118
Laid off10000100
Other reason/ unspecified5957614861615347

Table 15 
Employed persons aged 15-74, and average number of man-weeks worked (a 37.5 hours) per week, by sex and status. 1 000. Actual working hours, by sex and status. Hours per week

Employed persons aged 15-74, and average number of man-weeks worked (a 37.5 hours) per week, by sex and status. 1 000. Actual working hours, by sex and status. Hours per week
Annual Average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Employed persons total
Both sexes
Total2 6382 6472 6562 6582 6522 6602 6972 713
Salaried employees2 4572 4712 4802 4802 4812 4862 5252 539
Self-employed176172173175169171169171
Family workers43422343
Males
Total1 3881 3941 3971 4011 3961 4041 4281 441
Salaried employees1 2631 2741 2771 2801 2781 2861 3091 322
Self-employed122118118119117116117118
Family workers21111111
Females
Total1 2501 2531 2591 2571 2561 2561 2691 272
Salaried employees1 1941 1971 2031 2001 2031 2001 2151 217
Self-employed5354545651555253
Family workers21211131
 
Employed persons at work
Both sexes
Total2 2112 2172 2981 9372 2862 3122 4071 979
Salaried employees2 0522 0632 1391 7982 1332 1592 2531 844
Self-employed155150156137150151150133
Family workers42422232
Males
Total1 1901 1921 2351 0501 2271 2421 2921 083
Salaried employees1 0801 0871 1269541 1221 1371 188988
Self-employed1081041079510510410494
Family workers21111111
Females
Total1 0211 0251 0648871 0581 0701 114896
Salaried employees9729761 0138441 0121 0221 065856
Self-employed4647484245474739
Family workers21211121
 
Man-weeks worked
Both sexes
Total2 0062 0162 0231 7992 0802 0612 1221 850
Salaried employees1 8451 8601 8631 6531 9281 9101 9671 710
Self-employed159154158145152151154139
Family workers21211111
Males
Total1 1671 1661 1671 0491 2041 1881 2311 088
Salaried employees1 0471 0531 0529421 0911 0801 118984
Self-employed119112114106112108113104
Family workers10100000
Females
Total839850856750876873890762
Salaried employees798807811711836830849726
Self-employed4042443939424135
Family workers11101111
 
Actual working hours per week
Both sexes
Total34.034.133.034.934.133.533.135.1
Salaried employees33.733.832.734.533.933.232.734.8
Self-employed38.738.537.939.637.937.338.339.1
Family workers15.614.919.112.014.114.416.118.5
Males
Total36.836.735.537.536.835.935.737.7
Salaried employees36.436.435.137.136.535.635.337.3
Self-employed41.340.739.841.940.339.140.841.6
Family workers16.113.219.216.07.410.512.515.2
Females
Total30.931.130.231.731.130.630.031.9
Salaried employees30.831.030.031.631.030.529.931.9
Self-employed32.533.533.834.532.533.532.933.2
Family workers15.216.119.08.518.418.617.922.9

Table 16 
Employees aged 15-74 with temporary jobs, by major industry division (LFS). 1000

Employees aged 15-74 with temporary jobs, by major industry division (LFS). 1000
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Total215209213229202196210229
01-03 Agriculture, forestry and fishing33352344
05-39 Mining etc., manufacture, power and water supply111311161391014
41-43 Construction1089988912
45-47 Wholesale and retail trade: repair of motor vehicles and motorcycles2423232624171925
49-53 Transportation and storage6881088108
55-56 Accommodation and food service activities1011111411111117
58-63 Information and communication44443366
64-66 Financial and insurance activities11111101
68-82 Real estate, scientific, technical, administrative and support service activities2324232528242729
84 Public adm., defence, soc. security131214139111013
85 Education3128292528322825
86-88 Human health and social work activities6561636758576364
90-99 Other service activities1311111310111111

Table 17 
Employees aged 15-74 with temporary jobs, by major industry division (LFS). In per cent of all employees

Employees aged 15-74 with temporary jobs, by major industry division (LFS). In per cent of all employees
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Total8.88.48.69.28.27.98.39.0
01-03 Agriculture, forestry and fishing11.29.110.516.86.010.813.811.9
05-39 Mining etc., manufacture, power and water supply3.94.63.95.54.53.33.54.7
41-43 Construction5.44.64.84.74.04.44.75.8
45-47 Domestic trade, car repair shop7.06.66.67.57.25.25.77.4
49-53 Transportation and storage4.46.36.37.96.56.48.67.0
55-56 Accomommodation and food service activities14.714.214.818.213.012.613.718.6
58-63 Information and communication4.54.14.64.43.33.56.25.8
64-66 Financial and insurance activities1.82.01.51.91.91.90.71.0
68-82 Real estate, scientific, technical, administrative and support service activities8.48.98.59.29.98.69.510.1
84 Public adm., defence, soc. security7.56.87.86.94.85.85.57.0
85 Education13.913.213.811.813.114.612.911.7
86-88 Human health and social work activities12.511.712.012.911.211.011.812.1
90-99 Other service activities14.112.111.813.910.711.611.111.6

Table 18 
Unemployed persons aged 15-74, by sex and age (LFS). 1 000 and per cent

Unemployed persons aged 15-74, by sex and age (LFS). 1 000 and per cent
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Unemployed
Both sexes
In total131117126114105110109114
15-24 years4239473933314035
25-54 years8068716664736269
55-74 years109898779
Males
In total7968726563656365
15-24 years2423272319192420
25-54 years4939413637423540
55-74 years76567346
Females
In total5249534943454649
15-24 years1817201614121616
25-54 years3129302927312730
55-74 years33342323
 
Unemployed as per cent of the labour force
Both sexes
In total4.74.24.54.13.84.03.94.0
15-24 years11.310.812.610.49.18.810.89.5
25-54 years4.33.73.83.53.53.93.33.7
55-74 years1.81.71.51.71.51.21.21.6
Males
In total5.44.64.94.44.34.44.24.3
15-24 years12.812.113.911.910.210.512.310.1
25-54 years4.94.04.13.73.84.33.53.9
55-74 years2.32.11.81.92.21.21.51.9
Females
In total4.03.84.13.83.33.53.53.7
15-24 years9.89.411.28.98.06.99.28.7
25-54 years3.53.43.43.33.13.53.13.3
55-74 years1.31.11.21.60.71.31.01.3

Table 19 
Unemployed persons aged 15-74, by duration of job search (LFS). 1 000 and per cent

Unemployed persons aged 15-74, by duration of job search (LFS). 1 000 and per cent
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Total131117126114105110109114
1-4 weeks2524242618232924
5-13 weeks2724252225221924
14-26 weeks2218221517181818
27-39 weeks75654448
40-52 weeks2318201917171615
53 weeks and over1516131518141214
 
Total100100100100100100100100
1-4 weeks1921192317212721
5-13 weeks2121201924201721
14-26 weeks1715171316161716
27-39 weeks54544447
40-52 weeks1815161716151513
53 weeks and over1114101317131112
 
Average duration (weeks)30.531.529.731.933.331.029.429.5

Table 20 
Unemployed persons aged 15-74, by main activity (LFS). 1 000

Unemployed persons aged 15-74, by main activity (LFS). 1 000
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Total131117126114105110109114
Home working22212122
Attended school, studied3131403023233126
Unemployed8775737374796778
Other activities/Unspecified111010106878

Table 21 
Unemployed and underemployed persons aged 15-74, by sex and desired working hours per week. Number of man-weeks (of 37,5 hours) supplied (LFS). 1 000

Unemployed and underemployed persons aged 15-74, by sex and desired working hours per week. Number of man-weeks (of 37,5 hours) supplied (LFS). 1 000
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
1Includes the number of man-weeks desired by the unemployed persons and the desired man-weeks minus the present man-weeks of the underemployed persons
Both sexes
Unemployed persons
Total131117126114105110109114
1-19 hours2021182417191322
20-36 hours3024352219203320
37 hours or more8172726870726371
Average working hours desired (hours per week)3232323133323332
Number of man-weeks desired113991069592959597
Underemployed persons
Total7661586059636265
1-19 hours54325634
20-36 hours2724212622252324
37 hours or more4333343231323537
Average working hours desired (hours per week)3434343433333534
Desired man-weeks subtracted present man-weeks2923212222232425
 
Number of man-weeks supplied, total1142122127117114118119122
 
Males
Unemployed persons
Total7968726563656365
1-19 hours9941289410
20-36 hours1412211069196
37 hours or more5647484348474049
Average working hours desired (hours per week)3433333234343434
Number of man-weeks desired7160645657595759
Underemployed persons
Total2518171618211920
1-19 hours21112311
20-36 hours75444566
37 hours or more1712121113131213
Average working hours desired (hours per week)3434353434333534
Desired man-weeks subtracted present man-weeks118878988
 
Number of man-weeks supplied, total18268726365686567
 
Women
Unemployed persons
Total5249534943454649
1-19 hours11121413911912
20-36 hours1613141212111414
37 hours or more2524252522242322
Average working hours desired (hours per week)3030303031303129
Number of man-weeks desired4139423935373838
Underemployed persons
Total5143414440424345
1-19 hours32223323
20-36 hours2119162119201717
37 hours or more2721232119192324
Average working hours desired (hours per week)3434343433333534
Desired man-weeks subtracted present man-weeks1815131614141616
 
Number of man-weeks supplied, total15954555549515454

Table 22 
Employed persons 15-74, by sex and region of residence (LFS). 1000

Employed persons 15-74, by sex and region of residence (LFS). 1000
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Both sexes
Total2 6372 6472 6562 6582 6522 6602 6972 713
Østfold131132133133132134138137
Akershus314317319321318311309316
Oslo365367366365370373384382
Hedmark9697979799969595
Oppland9190928988939295
Buskerud138137136137138136139140
Vestfold120123125123123125126128
Telemark8082838382808385
Aust-Agder5253545354545455
Vest-Agder8687878887879087
Rogaland243237239239237238241247
Hordaland271266268268266268271274
Sogn og Fjordane5556575657585858
Møre og Romsdal127131132130132132131130
Sør-Trøndelag (-2017)160164163165165000
Nord-Trøndelag (-2017)6967696667000
Nordland118117118119116121123120
Troms - Romsa8685838685848688
Finnmark - Finnmárku3737363838373838
 
Males
Total1 3881 3941 3971 4011 3961 4041 4281 441
Østfold7070717070727173
Akershus165167167166168166165173
Oslo187189188189192193201199
Hedmark4951505151515152
Oppland4846484644464750
Buskerud7273727475747678
Vestfold6365656565656666
Telemark4244444644434546
Aust-Agder2728282829282829
Vest-Agder4345454646474744
Rogaland134129130132128127131132
Hordaland142138140138137139142143
Sogn og Fjordane2930313031313131
Møre og Romsdal6968696866696970
Sør-Trøndelag (-2017)8387858888000
Nord-Trøndelag (-2017)3937383536000
Nordland6061626260636261
Troms - Romsa4545444646454747
Finnmark - Finnmárku1920192121212221
 
Females
Total1 2501 2531 2591 2571 2561 2561 2691 272
Østfold6162626362626764
Akershus149150151155150145144143
Oslo177178178176178180183183
Hedmark4646474648464444
Oppland4344444445464545
Buskerud6664646263626362
Vestfold5758605858596062
Telemark3838393737373839
Aust-Agder2526272525262627
Vest-Agder4342424241404343
Rogaland109108108108109112111115
Hordaland129128128130129129129131
Sogn og Fjordane2526262626272828
Møre og Romsdal5862636265636261
Sør-Trøndelag (-2017)7878787777000
Nord-Trøndelag (-2017)3031303131000
Nordland5756565855586159
Troms - Romsa4040394039393941
Finnmark - Finnmárku1717171717161616

Table 23 
Employed persons aged 15-74, by sex and region of residence (LFS), as per cent of all persons in each group

Employed persons aged 15-74, by sex and region of residence (LFS), as per cent of all persons in each group
Annual average2nd quarter 20173rd quarter 20174th quarter 20171st quarter 20182nd quarter 20183rd quarter 2018
20162017
Both sexes
Total67.066.767.067.066.766.867.667.9
Østfold60.357.758.057.957.458.960.760.5
Akershus69.469.069.569.568.867.967.868.7
Oslo71.871.471.670.971.471.272.772.2
Hedmark63.764.564.564.465.164.563.364.0
Oppland65.564.565.964.263.965.765.767.2
Buskerud66.366.766.966.566.565.266.567.1
Vestfold64.266.066.166.365.966.766.466.1
Telemark61.363.764.564.964.262.065.467.3
Aust-Agder60.660.961.860.860.860.861.262.5
Vest-Agder63.462.463.061.662.361.762.561.4
Rogaland69.368.168.569.368.268.770.070.9
Hordaland68.868.168.868.867.869.170.070.0
Sogn og Fjordane67.870.470.770.370.270.871.171.4
Møre og Romsdal66.866.367.365.767.366.365.766.0
Sør-Trøndelag (-2017)67.467.667.267.667.40.00.00.0
Nord-Trøndelag (-2017)67.867.268.466.366.90.00.00.0
Nordland63.964.063.566.263.365.966.665.5
Troms - Romsa67.967.366.366.668.267.369.969.9
Finnmark - Finnmárku66.764.263.066.264.164.265.566.1
 
Males
Total69.168.969.169.168.869.170.270.7
Østfold62.761.361.461.660.863.763.464.5
Akershus71.772.072.271.572.371.671.973.2
Oslo73.672.972.972.673.273.075.475.8
Hedmark66.167.066.867.266.366.765.968.5
Oppland65.964.568.063.962.264.866.368.8
Buskerud68.069.368.970.270.568.970.371.2
Vestfold66.868.968.268.768.669.768.868.3
Telemark65.868.168.170.368.665.568.871.8
Aust-Agder64.461.962.461.962.260.461.262.8
Vest-Agder65.065.165.065.266.266.865.262.8
Rogaland72.671.271.673.171.270.373.673.2
Hordaland69.868.569.468.567.369.771.671.5
Sogn og Fjordane71.971.773.171.570.371.071.170.7
Møre og Romsdal69.167.769.266.767.467.266.667.9
Sør-Trøndelag (-2017)68.969.868.870.169.70.00.00.0
Nord-Trøndelag (-2017)72.170.172.468.770.50.00.00.0
Nordland63.564.764.567.164.267.066.966.7
Troms - Romsa69.869.868.569.171.670.973.571.7
Finnmark - Finnmárku65.765.562.470.167.567.168.567.6
 
Females
Total64.964.564.964.764.564.465.065.0
Østfold57.854.154.654.354.154.258.256.5
Akershus67.066.166.767.565.364.163.663.8
Oslo69.969.870.269.269.769.469.968.7
Hedmark61.361.962.361.764.062.160.559.5
Oppland65.164.563.864.565.666.765.165.5
Buskerud64.664.064.762.762.361.362.462.6
Vestfold61.563.163.963.963.063.863.964.0
Telemark57.059.260.859.259.658.461.962.6
Aust-Agder56.960.061.259.559.261.361.362.2
Vest-Agder61.959.861.158.258.556.659.660.0
Rogaland65.764.765.165.065.167.066.168.4
Hordaland67.667.768.169.168.468.468.368.4
Sogn og Fjordane63.768.968.068.970.070.571.272.2
Møre og Romsdal64.364.965.364.667.265.464.664.0
Sør-Trøndelag (-2017)65.865.365.665.064.90.00.00.0
Nord-Trøndelag (-2017)62.964.063.963.763.10.00.00.0
Nordland64.363.462.465.362.264.766.364.4
Troms - Romsa66.064.764.064.064.663.566.167.9
Finnmark - Finnmárku67.762.663.861.860.260.761.864.2

Table 24 
Employed persons aged 15-74, by occupation and sex. Annual average. Per cent

Employed persons aged 15-74, by occupation and sex. Annual average. Per cent
20162017
Both sexesMalesFemalesBoth sexesMalesFemales
In total100.0100.0100.0100.0100.0100.0
1. Managers7.89.26.28.510.06.9
2. Professionals26.820.833.627.121.033.8
3. Technicians and associate professionals16.618.514.416.217.814.4
4. Clerical support workers5.84.57.35.64.76.5
5. Service and sales workers20.612.629.521.012.830.0
6. Skilled agricultural, forestry and fishery workers1.92.71.01.92.70.9
7. Craft and related trades workers9.316.91.09.216.70.9
8. Plant and machine operators and assemblers5.99.71.65.89.61.6
0,9. Other occupations5.35.15.44.84.65.0

Table 25 
Employed persons aged 15-74, by occupation and sex. Annual average. 1 000

Employed persons aged 15-74, by occupation and sex. Annual average. 1 000
20162017
Both sexesMalesFemalesBoth sexesMalesFemales
In total2 6381 3881 2502 6471 3941 253
1. Managers2051277822513986
2. Professionals708288420717293424
3. Technicians and associate professionals437257180428248180
4. Clerical support workers15462911476682
5. Service and sales workers544175369555179376
6. Skilled agricultural, forestry and fishery workers503812493811
7. Craft and related trades workers2462341224423311
8. Plant and machine operators and assemblers1551352015413420
0,9. Other occupations13971681276463

Table 26 
Employed persons aged 15-74, by occupation, sector and sex. Annual average. 1000

Employed persons aged 15-74, by occupation, sector and sex. Annual average. 1000
2017
All sectorsPrivate sector and public enterprisesPublic sector
Both sexesMalesFemalesBoth sexesMalesFemalesBoth sexesMalesFemales
In total2 6521 3981 2541 7841 127657853262591
1. Managers2291418817712057522131
2. Professionals723294430317183134405110295
3. Technicians and associate professionals435253183333210123994158
4. Clerical support workers1486682125606522517
5. Service and sales workers54717537233012420621350163
6. Skilled agricultural, forestry and fishery workers493810473710211
7. Craft and related trades workers2422311123422410551
8. Plant and machine operators and assemblers1541351914913018431
0,9. Other occupations1256560723835502624

Table 27 
Employed persons ages 15-74, by occupation and major industry division. Annual average. 1000

Employed persons ages 15-74, by occupation and major industry division. Annual average. 1000
2017
In total1. Managers2. Professionals3. Technicians and associate professionals4. Clerical support workers5. Service and sales workers6. Skilled agricultural, forestry and fishery workers7. Craft and related trades workers8. Plant and machine operators and assemblers0,9. Other occupations
00-99 All industries2 64722571742814755549244154127
01-02 Agriculture and forestry410010134121
03 Fishing15112009001
05-09 Oil and gas extraction, mining and quarrying53413143007101
10-33 Manufacturing210271943145050465
35-39 Electricity, gas, water supply32278220424
41-43 Construction21014922931121228
45-47 Domestic trade3585216533415903347
49-53 Transport and storage1341062124903556
55-56 Accommodation and food service activities82101354901210
58-63 Information and communication100126217340102
64-66 Financial and insurance activities5061032100000
68-82 Real estate, tech.adm service3002094762333316529
84 Public administration and defence18323733891203125
85 Education2191116474260006
86-88 Human health and social work activities5401921166921901114
90-99 Other service activities1141329257311225

Table 28 
Employed persons aged 15-74, by sex, occupation and contractual/usual work time. Annual average

Employed persons aged 15-74, by sex, occupation and contractual/usual work time. Annual average
2017
TotalPart-timePercent Part-timeFull-timePercent Full-timeAverage working hours per week
Both sexes
In total2 64766525.11 97274.534.3
1. Managers225135.921294.039.1
2. Professionals71713619.057980.835.8
3. Technicians and associate professionals4287016.435783.535.6
4. Clerical support workers1474128.210571.632.9
5. Service and sales workers55530655.124644.227.8
6. Skilled agricultural, forestry and fishery workers491223.33876.140.1
7. Craft and related trades workers244156.022993.837.9
8. Plant and machine operators and assemblers1542013.313386.437.6
0,9. Other occupations1275241.17458.330.1
 
Males
In total1 39420414.61 18785.136.6
1. Managers13974.713295.240.0
2. Professionals2933211.126088.837.3
3. Technicians and associate professionals2482610.722189.237.0
4. Clerical support workers661319.75380.134.3
5. Service and sales workers1797441.610357.730.2
6. Skilled agricultural, forestry and fishery workers38820.03079.541.8
7. Craft and related trades workers233125.222194.738.1
8. Plant and machine operators and assemblers1341511.111988.737.9
0,9. Other occupations641625.34773.933.9
 
Females
In total1 25346236.978662.731.8
1. Managers8677.87992.037.8
2. Professionals42410424.531975.234.7
3. Technicians and associate professionals1804424.213675.633.8
4. Clerical support workers822834.95364.831.7
5. Service and sales workers37623161.514237.826.7
6. Skilled agricultural, forestry and fishery workers11434.4764.934.6
7. Craft and related trades workers11324.0876.034.1
8. Plant and machine operators and assemblers20627.71470.835.3
0,9. Other occupations633657.12642.326.3

About the statistics

The purpose of the Labour Force Survey is to provide information on the development in employment and unemployment, and on the relationship to the labour market for different groups. The statistics are published quarterly, normally 4 weeks after the end of the quarter.

Definitions

Definitions of the main concepts and variables

Concepts and definitions are in accordance with recommendations given by the International Labour Organization (ILO) and EU/Eurostat.

According to the international recommendations persons above a specified age should be classified by their attachment to the labour market in a specified, short period, either a day or a week. In the Norwegian LFS the reference period is one week, and the sample of persons are classified in relation to their situation in that reference week.

Employed persons are persons aged 15-74 who performed work for pay or profit for at least one hour in the reference week, or who were temporarily absent from work because of illness, holidays etc. Conscripts are classified as employed persons. Persons engaged by government measures to promote employment are also included if they receive wages. Persons laid off 100 per cent with a continuous duration of until three months are defined as employed, temporarily absent.

Unemployed persons are persons who were not employed in the reference week, but who had been seeking work during the preceding four weeks, and were available for work in the reference week or within the next two weeks (in 1996-2005 one should be available within two weeks following the time of interview, and until 1996 one should be able to start working in the reference week). Persons laid off 100 per cent are defined as unemployed after three continuous months of leave.

Persons in the labour force are either employed or unemployed. The remaining group of persons is labelled not in the labour force .

Man-hours worked include all actual working hours, i.e. including overtime and excluding absence from work. Persons absent from work are not included in the calculation of actual working hours per week (in average) .

Contractual/usual working hours refer to the weekly number of working hours determined by the working contract. Absence from work because of illness, holidays etc. is not subtracted, and overtime is not included. Employees, whose contractual working hours vary from week to week, give information on both the actual reference week as well as the average of their contractual working hours per week (in the tables published the average numbers are normally used). For employees without contract on working hours, for self-employed and for unpaid family workers, data on their usual weekly working hours are used (as an average of their actual working hours during the last 4 weeks).

Full-time/part-time distinction is based on the contractual/usual working hours. Part-time: 1-36 hours, with exception of persons with 32-36 hours who classify themselves as full-time employed.

Full-time: 37 hours and over, and the cases mentioned above. For persons with more jobs, the working hours in the main and the second job are summarized.

Overtime

Overtime is defined as working hours which exceed the contractual working hours for full-time employees, conducted during a specified reference week. The overtime may be compensated by payment or by time off, or be without any compensation. Up to 2006 these questions were included in the survey only during the 2nd quarter each year. As from 2006 onwards they are included each quarter. 

A major revision of the LFS in 2006 led to a significant break in the time-series for overtime, i.e. lower estimates than published earlier. This was mostly due to changes in the questionnaire concerning working time.

Statistics on overtime include employees working full-time only. For persons with more jobs, the working hours in the main and the second job are summarized in order to classify them as either part- or full-time workers, as in LFS statistics generally.

For those with more jobs, overtime hours in the main job only are included. By calculating the overtime hours as a share of the total number of man-hours worked among full-time employees, the working hours in the second job are, however, included in the denominator. Persons temporarily absent from work are included in the denominator while calculating the share of employees working overtime, mainly to avoid seasonal variations.

Employees who just had an occasional job in the reference week, and on-call workers, are not asked about overtime, but they are included in the denominator if they were full-time employed in the reference week.

As from 2007 imputation is used concerning the overtime variables in case of proxy interviews and partial non-response.

Involuntary part-time employment comprises part-time employed persons seeking longer contractual/usual working hours by registering at the Employment Offices, advertising, contacting present employer etc., and who were able to start with increased working hours within a month.

Permanence of the job

The employees are asked whether they have a permanent job (a work contract of unlimited duration) or a temporary job (a work contract of limited duration). If the person has more than one job, only the main job is classified by permanence.

There are two kinds of working arrangements outside ordinary hours (Monday to Friday from 6 am to 6 pm).

  • Shift work is usually understood as working time outside normally working hours. What counts in the survey as shift work is based on the evaluation of the respondent. For respondents who have not answered the question on shift work, the value is imputed based on the answers they have given with regard to evening, night, Saturday and Sunday work.
  • Work outside ordinary hours, not shift work. This refers to work on evenings, nights, Saturdays and Sundays which is not shift work. Evening work is defined as work between 6 pm and 10 pm. Night work is between 10 pm and 6 am. Respondents who report that they work on one or more of these working time schedules outside ordinary hours are also asked about the frequency of this kind of work during a four week period. This is done for each of the working time schedule separately. Based on this, the work outside regularly hours is divided into the categories "regularly" or "sometimes". For evening and night work, the respondent must have this kind of work on at least half of their working days in the four week period to be defined as having regularly evening work and/or regularly night work. For work on weekends, they must work 2-4 Saturdays and/or 2-4 Sundays during the four week period to be defined as having regularly Saturday and/or Sunday work. The respondents who have these kinds of working schedules, but more seldom than indicated above, are defined as sometimes having this kind of work.

Working hour arrangements outside ordinary daytime are based on the contract for the employees, and on usual working time pattern for the self-employed. Up to 2006 these questions were included in the survey only during the 2nd quarter each year. As from 2006 onwards they are included each quarter, but only for ¼ of the sample, and the results are published once a year: Labour force survey. Patterns of working time.

Course participation refers to job related courses which the respondent was paid to attend. Only courses received during a period of four weeks are included. Up to 2006 these questions were asked only during the 2nd quarter each year. As from 2006 onwards they are included each quarter to the whole sample. Labour force survey. Education and training.

As from 2006 the definition of age was changed from completed years at the end of the year to completed years at the time of the reference week.

The persons are classified by marital status as unmarried, married and previously married according to information given by the respondents. Previously married includes widows, widowers, separated and divorced persons. In the tables married women include cohabitants.

Immigrants are defined as persons born abroad by foreign-born parents who have emigrated toNorway. In statistics based on the Labour Force Survey (LFS) they are divided in two groups by country of birth:

1) Immigrants from EU/EFTA-countries,North-America,AustraliaandNew Zealand. 

2) Immigrants from Eastern Europe except EU, Asia, Africa, Latin America and Oceania except Australia and New Zealand.

Standard classifications

The industrial classification is in accordance with the Standard Industrial Classification (NOS D 383), which is based on the EU-standard of NACE Rev. 2.

The occupational classification is based on the International Standard Classification of Occupations 2008 (ISCO-08). The Norwegian standard has been named STYRK-08 (Notater 17/2011). 

The educational classification is in accordance with the Norwegian Standard Classification of Education (NOS C617).

Administrative information

Name and topic

Name: Labour force survey
Topic: Labour market and earnings

Next release

Responsible division

Division for Labour Market and Wage Statistics

Regional level

County and the whole country.

Frequency and timeliness

Quarterly and annual, but monthly publishing of some key figures seasonally adjusted (averages of the last 3 months). Quarterly figures are normally published 5 weeks after the end of the quarter.

International reporting

The quarterly data files are sent to Eurostat. Tables are sent each month/quarter/year to Eurostat, OECD, ILO and IMF, as well as to the Nordic Yearbook.

Microdata

The basic material (survey results from the interviewers) as well as the statistical files (on the basis of revision and estimation procedures) are stored.

Background

Background and purpose

The main purpose of the survey is to provide data on employment and unemployment, and data on the labour force participation in different sections of the population. The Norwegian LFS started in 1972. For information about the history of the survey, and about breaks in the time-series, please cf. Labour Force Survey 2001 (NOS C748).

Users and applications

The surveys give information to the Labour Market Authorities and other users about the situation on the labour market, and provide data for labour force research and forecasts, as well as for international organizations and mass media.

Equal treatment of users

No external users have access to the statistics and analyses before they are published and accessible simultaneously for all users on ssb.no at 08 am. Prior to this, a minimum of three months' advance notice is given inthe Statistics Release Calendar.

For more information, see Principles for equal treatment of users in releasing statistics and analyses

Coherence with other statistics

The results from the LFS are used in the National Accounts Statistics.

For statistics at regional levels (counties and municipalities), the Registerbased Employment Statistics are recommended. These statistics also give figures on employees who are immigrants.

Statistics Norway also produces statistics on selected industries based on data from the establishments, containing figures on employment, compensation of employees, value of production and capital formation etc. These statistics contain more detailed information about each industry than it is possible to give from the LFS and the National Accounts Statistics.

Statistics on unemployed persons at the Employment Offices and government measures to promote employment are compiled by NAV on the basis of registers of unemployed persons and applicants for work.

The figures on unemployment based on the LFS differ from the figures on unemployed persons registered at the Employment Offices. The LFS-figures also include unemployed persons not registered at the Employment Offices, some of the participants in government measures to promote employment and some of the disabled persons. On the other hand, some of the registered unemployed are not classified as unemployed in the LFS, on the basis of the information given on seeking and availability for work. As from 2006 persons on lay-off (until 3 months) are no longer classified as unemployed, but as employed persons (temporarily absent from work) in the LFS, while they still are classified as unemployed in the registerbased statistics. However, if the period of lay-off exceeds 3 months, they are classified as unemployed in the LFS as well.

The Population and Housing Censuses (each 10th year) give statistics on employment during the last 12 months, in addition to the situation in a specified reference week. As from 2001 onwards employment data based on administrative registers are used. Statistics on labour conflicts and working days lost are compiled by Statistics Norway on the basis of information supplied mostly by the labour and employers's organizations. The Surveys of Level of Living (by Statistics Norway) give information on physical working environment as well as organizational working conditions.

The main source to describe the situation for the immigrants on the labour market is the registerbased statistics on employment and unemployment. By using data from the LFS as a supplement we will achieve still more information regarding this group, for example on actual and desired working hours, temporary employment and patterns of working time. Moreover the LFS has more data than the registers on job seeking and desire for work.

The main problem using the LFS for statistics on immigrants is the size of the sample and the statistical uncertainty. The group of immigrants in Norway is rather heterogeneous regarding their situation on the labour market, and therefore it is required to divide among at least two groups in the presentation of statistics. A further dividing by other variables will require long time-series in order to draw any conclusions.

Legal authority

The Statistics Act §§ 2-2 and 2-3.

EEA reference

Council Regulation (EC) nos 577/98, 1991/2002 and 2257/2003, and Commission Regulation nos 1575/2000, 1897/2000, 2104/2002, 430/2005 and 377/2008.

Production

Population

The total population aged 15-74 is covered by the LFS. Up to 2006 the group was 16-74, and age defined as completed years at the end of the year. As from 2006 age is defined as completed years at the time of the reference week. Observation unit: person.

Data sources and sampling

The main source for the LFS is quarterly, representative sample surveys based on interview by telephone.

Inhabitants in all municipalities are randomly selected, on the basis of a register of family units. The sample consists of about 12 000 family units (24 000 persons) each quarter. Each family member aged 15-74 participates in the survey, answering questions about their situation during a specified reference week. As from 1996 each family participates in the survey 8 times during a period of 8 quarters (before 1996: 4 times during 6 quarters). Up to 1996 a two stage sampling procedure was applied. For more information, please cf. Labour Force Survey 2001 (NOS C748).

Collection of data, editing and estimations

Interview by telephone. Information from previous interviews are used while asking about any changes in the situation, instead of the same, comprehensive data collection every time. For the coding of industry, information from some registers is also used. Demographic data are collected from the Central Population Register, and data on education are based on a register of individual data collected by Statistics Norway from the educational institutions (but questions are also asked to get more updated information).

The respondent is usually the same person as the observation unit (but proxy interviews are done if it is not possible to get in contact with the observation unit; 14-15 per cent of the interviews are done by asking near family members). Data are collected weekly, i.e. the LFS is a continuous survey (all weeks are covered). Up to 1st quarter 1996 (from 2nd quarter 1988) the survey was based on one reference week each month, and in previous years on one week each quarter. Participation in the survey is compulsory, but compulsory fines are not used.

As the data collection is made by use of computer-assisted interviews, some procedures for electronic control of the registration of answers are included in the questionnaire, for example concerning the number of working hours during the reference week. In some cases the interviewers become a "warning" by recording an answer, in other cases maximum or minimum values have been set beforehand.

The analysis unit is person. The absolute numbers from the LFS are presented in the form of estimated total for the entire population aged 15-74. The weights or inflation factors vary, but have an average of about 195 for quarterly figures in 2017.

 The estimation method uses more demographic data and register information relevant to the connection to the labour market in order to minimize standard errors and correct more for bias in the response sample in LFS since the nonresponse is not random. New method was launched in April 2018, is also used on LFS data back to 2006 to get the most comparable time series.

The estimation method in LFS is done in several stages, and are called multiple model calibration (MMK). Initially, the main labor market status of LFS, which is employed, unemployed, outside the workforce, are modeled consistent with a multinomial logit model, explained with a number of register variables known to all in the population. The register information are registered completely unemployed, on measures and persons with disabilities at NAV, register information on disability pensioners, education level, marital status, family size and immigrant category, country of origin, gender and age, residence, and information from the A scheme and the Tax Recovery Register. The model provides predictive probabilities every month for each main labor market status in LFS for everybody in the population.

The monthly weights in LFS are calibrated using these predicted probabilities and some register variables directly[1]. This means that the weights also become consistent with the population for the number in the population register by gender, different age groups and region, as well as consistent weights for the number of full / part-time wage earners by gender and registered employed (yes/no) cross classified by immigrants in 2 groups.

Multiple model calibration provides some variance reduction, utilizing more efficiently that we have available good help information about everyone in the population from various registries that Statistics Norway has linked.

The initial weights before calibration are the ratio of the number of people in the population to the gross sample per. county (NUTS3), and takes into account that people in different counties have different probabilities of being selected to LFS sample.

For more detailed technical information about the new estimation method, please see Documents 2018/16 [https://www.ssb.no/en/arbeid-og-lonn/artikler-og-publikasjoner/new-estimation-methodology-for-the-norwegian-labour-force-survey]

Week-proportional weighting of the months in quarterly averages

LFS have continuous data collection. In order for all reference weeks to weighted evenly in quarterly averages, we now make week-proportional adjustment of monthly weights in our quarterly averages. That is, the monthly weights are multiplied by 4/13 or 5/13 depending on whether the months in the LFS contain respectively 4 or 5 whole weeks. Weekly proportional weighting of quarterly average has been made on all quarterly figures in our StatBank back to 2006. Before that is the even adjustment off all monthly weights was used, i.e. multiplied by 1/3 for all months.



[1]That the weights are consistent for a register variable, such as gender, means that the sum of the weights in the responses in the LFS equals the number of the population for each category of the register variable, such as the number of men and the number of women in the population

Seasonal adjustment

Quarterly figures from LFS are not seasonally adjusted

Confidentiality

Not relevant

Comparability over time and space

New estimation method published in April 2018 uses more registers that will reduce nonresponse bias and sample uncertainty. This leads to a slightly lower level of employed and almost correspondingly higher levels for people outside the workforce than the previous method. The total number of unemployed changes only a little. To get the most comparable figures, the time series are revised back to 2006 in our StatBank. However, the adjustments vary slightly between groups and over time.

Breaks in the series up to 2001 are described in the publication Labour Force Survey 2001 (NOS C748).

The concepts in LFS are defined in accordance with international recommendations, cf item 4.1, to ensure comparability among the countries.

As from 2006 the LFS was revised, mainly to be in accordance with the EU-requirements based on new ILO recommendations. Some definitions and parts of the questionnaire were changed, and some new variables were added. As from 2006 age is defined as completed years at the time of the reference week, instead of completed years at the end of the year, as earlier. Moreover the lower age limit to be covered by the survey was lowered from 16 to 15, in accordance with the surveys in other countries.

These changes from 2006 led to breaks in the time-series for the LFS estimates. The revised survey gives some lower estimates for unemployment (1 000 persons as an annual average for 2006) and some higher estimates for employment (8 000 in 2006). A break in the time series also occured for the estimates of actual working hours per week and man-hours worked. For more information, please cf. http://www.ssb.no/aku_en/. Quarterly data for 2006 are published according to both the revised and the unrevised LFS, in order to improve the comparability for the figures between 2006 and 2005. The breaks in the time-series were most significant for figures divided by age groups.

Accuracy and reliability

Sources of error and uncertainty

In all surveys errors may occur in connection with both the collection and the processing of data. The use of proxy interviews (asking near family members instead of the observation unit) often increase the problems of measurement. As an average the employment is underestimated because of proxy interviews.

The size of the nonresponse as a percentage of the gross sample has varied widely since the LFS began in 1972. The 20 first years were generally around 10-12 percent. In the years 1992-1997 it was particularly low, only 6-8 percent. Subsequently, the nonresponse rate gradually increased to 21 per cent in 2013. After systematic work,  the nonresponse has been reduced to around 16 per cent in 2017.

 Correction for total non-response is done in the estimating procedure. Partial non-response is adjusted for some variables.

Variance

The standard error for the quarterly average for the number of unemployed aged 15-74 is around 4600 in 2017. It corresponds to a coefficient of variation of 3.9 per cent. The standard error for the quarterly average for the number of employed aged 15-74 in LFS is about 8600 people in 2017. The coefficient of variation for employment figures will then be around 0.29 percent. More calculations will later be published in our StatBank.

If the reader wants an indication of the size of the standard error for quarterly figures and annual averages for other variables or group divisions, see the table below. These indications are only guiding, and can not be interpreted as precise calculations for any variable. Changes between two surveys will usually have the same absolute uncertainty as the two figures which are compared.

 

 

Indication of the standard error for other variables than in StatBank table 09937 and 09938

 
 

Quarterly figures

 

Annual averages

 

Absolute figures

As per cent of estimated value

Absolute figures

As per cent of estimated value

 
           

5 000

800

16,0

500

10,0

 

7 000

900

12,9

600

8,6

 

10 000

1 100

11,0

700

7,0

 

20 000

1 600

8,0

1 100

5,5

 

30 000

1 900

6,3

1 300

4,3

 

40 000

2 200

5,5

1 500

3,8

 

50 000

2 500

5,0

1 700

3,4

 

60 000

2 700

4,5

1 800

3,0

 

70 000

2 900

4,1

1 900

2,7

 

100 000

3 500

3,5

2 300

2,3

 

200 000

4 800

2,4

3 200

1,6

 

300 000

5 800

1,9

3 900

1,3

 

400 000

6 600

1,7

4 400

1,1

 

500 000

7 200

1,4

4 800

1,0

 

1 000 000

9 100

0,9

6 100

0,6

 

1 700 000

9 600

0,6

6 400

0,4

 

2 000 000

9 100

0,5

6 100

0,3

 

Revision

Not relevant