369359
/en/arbeid-og-lonn/statistikker/aku/kvartal
369359
statistikk
2019-07-25T08:00:00.000Z
Labour market and earnings;Labour market and earnings;Immigration and immigrants
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 staffEmployment , Unemployment , Labour market and earnings, Labour market and earnings, Immigration and immigrants
true

Labour force survey

Updated

Next update

Key figures

70.2 %

labour force

Population aged 15-74, by labour force status and sex
2nd quarter 20192nd quarter 2018 - 2nd quarter 2019
Absolute numbersPer cent1Change in absolute numbersChange in percentage points1
1The labour force is calculated as a share of the population in the same age group. Labour force = number of employed persons + number of unemployed persons. Employed persons is calculated as a share of the population in the same age group. Unemployed is calculated as a share of the labour force in the same age group.
Labour force
Both sexes2 816 00070.210 000-0.2
Males1 493 00073.02 000-0.3
Females1 323 00067.38 0000.0
 
Employed persons
Both sexes2 719 00067.822 0000.2
Males1 436 00070.28 0000.0
Females1 283 00065.214 0000.2
 
Unemployed
Both sexes97 0003.4-12 000-0.5
Males56 0003.8-7 000-0.4
Females40 0003.1-6 000-0.4

See selected tables from this statistics

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Persons, total
Both sexes3 9663 9933 9833 9883 9964 0044 0064 012
Males2 0242 0372 0322 0342 0382 0422 0432 046
Females1 9421 9561 9511 9541 9571 9621 9641 966
 
The labour force
Both sexes2 7632 8022 7702 8062 8272 8072 8002 816
Males1 4621 4871 4681 4911 5061 4841 4821 493
Females1 3021 3151 3021 3151 3211 3221 3181 323
 
Employed persons
Both sexes2 6472 6942 6602 6972 7132 7082 6922 719
Males1 3941 4271 4041 4281 4411 4341 4221 436
Females1 2531 2681 2561 2691 2721 2741 2701 283
 
Unemployed
Both sexes1171081101091149810897
Males6861656365506056
Females4947454649484840
 
Persons outside of the labour force
Both sexes1 2031 1901 2131 1821 1691 1971 2061 196
Males563549563544532558561553
Females640641649639637639646643

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Persons, total
Total3127272626272324
Males1513131212121112
Females1614141414151312
 
Labour force, total
In total-639282555493010
Males-62515224025142
Females1131231523168
 
Employed persons
In total947394155563222
Males63323314038188
Females315161015181414
 
Unemployed
In total-14-9-12-170-7-2-12
Males-11-7-7-90-13-5-7
Females-3-2-5-7053-6
 
Persons outside of the labour force
Total37-1301-29-22-714
Males22-14-3-9-29-13-29
Females1512110-10-34

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Labour force in per cent of the population
Both sexes69.770.269.570.470.770.169.970.2
Males72.273.072.373.373.972.772.673.0
Females67.067.266.767.367.567.467.167.3
 
Employed persons in per cent of the population
Both sexes66.767.566.867.667.967.667.267.8
Males68.870.069.170.270.770.269.670.2
Females64.564.864.465.065.064.964.765.2
 
Unemployed persons in per cent of the labour force
Both sexes4.23.84.03.94.03.53.93.4
Males4.64.14.44.24.33.44.03.8
Females3.83.63.53.53.73.73.73.1
 
Outside the labour force in per cent of the population
Both sexes30.329.830.529.629.329.930.129.8
Males27.827.027.726.726.127.327.427.0
Females33.032.833.332.732.532.632.932.7

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Labour force
15-74 years
Both sexes2 7632 8022 7702 8062 8272 8072 8002 816
Males1 4621 4871 4681 4911 5061 4841 4821 493
Females1 3021 3151 3021 3151 3211 3221 3181 323
 
15-24 years
Both sexes363364350372375358357363
Males188188181193196182183183
Females175176169179179176174180
 
25-66 years
Both sexes2 3562 3872 3742 3842 3992 3912 3872 398
Males1 2451 2671 2581 2661 2771 2671 2641 276
Females1 1111 1201 1151 1181 1231 1241 1241 123
 
Employed
15-74 years
Both sexes2 6472 6942 6602 6972 7132 7082 6922 719
Males1 3941 4271 4041 4281 4411 4341 4221 436
Females1 2531 2681 2561 2691 2721 2741 2701 283
 
15-24 years
Both sexes324329320332340325321324
Males165168162169176166164163
Females158161157163164159157161
 
25-66 years
Both sexes2 2782 3142 2942 3152 3212 3262 3162 341
Males1 2001 2261 2131 2271 2311 2331 2241 239
Females1 0791 0881 0821 0881 0891 0931 0921 101

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Persons in the labour force
15-74 years
Both sexes69.770.269.570.470.770.169.970.2
Males72.273.072.373.373.972.772.673.0
Females67.067.266.767.367.567.467.167.3
 
15-24 years
Both sexes54.555.052.856.256.854.254.155.1
Males54.655.052.856.557.453.353.853.9
Females54.455.052.756.056.155.254.456.4
 
25-66 years
Both sexes81.381.881.681.882.281.781.581.7
Males84.084.984.685.085.484.784.585.0
Females78.578.678.578.578.878.678.478.2
 
Employed persons
15-74 years
Both sexes66.767.566.867.667.967.667.267.8
Males68.870.069.170.270.770.269.670.2
Females64.564.864.465.065.064.964.765.2
 
15-24 years
Both sexes48.649.748.150.251.449.248.549.2
Males48.049.247.349.551.648.648.148.1
Females49.350.249.050.851.249.849.050.4
 
25-66 years
Both sexes78.779.378.979.579.579.579.179.7
Males81.082.181.582.382.382.481.982.6
Females76.276.476.176.576.576.476.276.7

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
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 9663 9933 9833 9883 9964 0044 0064 012
Employed persons2 6472 6942 6602 6972 7132 7082 6922 719
Short part-time319320325325303328340327
Long part-time346355344357356362342356
Full time1 9722 0091 9792 0032 0462 0091 9992 027
Not reported working hours9101112810109
Unemployed persons1171081101091149810897
 
15-19 years
Both sexes
Total322320322319320321320320
Employed persons1041039998109106103100
Short part-time6260626057606261
Long part-time1010791412911
Full time3132302737333026
Not reported working hours11120111
Unemployed persons2017132118161719
 
20-24 years
Both sexes
Total343342342343341340341339
Employed persons219226220234231219218224
Short part-time7172787661737474
Long part-time3736323838353539
Full time109116106117131110106109
Not reported working hours23442222
Unemployed persons2018171917171920
 
25-54 years
Males
Total1 1131 1181 1161 1171 1191 1201 1211 122
Employed persons938958943959964966958968
Short part-time3431333130313837
Long part-time5054555352565053
Full time852870853873880875867877
Not reported working hours22222342
Unemployed persons3936423540293231
 
Females
Total1 0551 0621 0601 0601 0621 0641 0651 066
Employed persons851858855858859862862864
Short part-time8284818582899184
Long part-time169169169172167169165163
Full time597602601598607601604614
Not reported working hours23333323
Unemployed persons2929312730282919
 
55-66 years
Males
Total368374372374376376375378
Employed persons262268269268268267266271
Short part-time1718191816181816
Long part-time1618171818191820
Full time228232233231233230229235
Not reported working hours00000001
Unemployed persons65346585
 
Females
Total360363362363362366368369
Employed persons228230227231231231230237
Short part-time3635343536363436
Long part-time5355555654565256
Full time138140138140141140144145
Not reported working hours10000011
Unemployed persons33323322
 
67-74 years
Both sexes
Total404413410413416416417417
Employed persons4551465052575554
Short part-time1620182020222220
Long part-time1113101213151313
Full time1718161819201920
Not reported working hours00101011
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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Both sexes
Total2 7632 8022 7702 8062 8272 8072 8002 816
15-19 years124120113119127122120119
20-24 years239244238253248236237244
25-29 years305311309307313313312309
30-39 years614628619628633632628632
40-54 years938943943944945939942942
55-66 years499506503505507507506515
67-74 years4551465053575555
 
Males
Total1 4621 4871 4681 4911 5061 4841 4821 493
15-19 years6259566164565855
20-24 years126129125132132126126128
25-29 years158160157160164161160159
30-39 years326337333338340336334338
40-54 years492497496496499497497502
55-66 years268273273272273273273276
67-74 years2932293134353534
 
Females
Total1 3021 3151 3021 3151 3211 3221 3181 323
15-19 years6261565863666264
20-24 years113115113121116110112116
25-29 years147150152147149152152150
30-39 years287291286290293296294294
40-54 years446446447447446442445440
55-66 years230233230233234234232239
67-74 years1619171919222121

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Both sexes
15-74 years69.770.269.570.470.770.169.970.2
15-19 years38.537.535.037.339.638.137.637.3
20-24 years69.671.469.473.872.969.469.671.9
25-29 years82.583.583.282.984.483.884.283.1
30-39 years87.188.087.288.088.588.487.487.6
40-54 years85.886.286.286.486.485.885.986.1
55-66 years68.568.568.568.568.768.368.168.8
67-74 years11.112.411.212.112.613.613.213.1
 
Males
15-74 years72.273.072.373.373.972.772.673.0
15-19 years37.035.934.037.138.734.035.133.7
20-24 years71.272.870.574.474.971.471.472.9
25-29 years83.784.682.984.686.484.384.483.5
30-39 years90.091.991.292.192.691.790.791.5
40-54 years87.688.588.388.588.888.388.289.4
55-66 years72.972.873.372.872.672.573.072.9
67-74 years14.515.914.215.616.817.216.816.5
 
Females
15-74 years67.067.266.767.367.567.467.167.3
15-19 years40.039.336.237.640.642.540.241.1
20-24 years68.069.868.373.170.767.167.670.8
25-29 years81.382.583.581.082.383.284.082.7
30-39 years83.983.982.983.684.184.883.983.6
40-54 years83.983.883.984.283.883.183.582.6
55-66 years64.064.163.664.164.763.963.164.6
67-74 years7.79.08.38.88.710.29.89.7

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
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 6472 6942 6602 6972 7132 7082 6922 719
Part-time, total665675670682659690682683
Short part-time. 1-9 hours126132137134116141152144
Short part-time. 10-19 hours193188188191187188188183
Long part-time. 20-29 hours182189185193190187180190
Long part-time. 30-36 hours164166160164166174163166
Full time, total1 9722 0091 9792 0032 0462 0091 9992 027
Full time. 32-36 hours173176168172185181183191
Full-time. 37-44 hours1 6061 6441 6251 6431 6681 6401 6431 648
Full-time. 45 hours and more189185181183191184169183
Average contractual/usual working hours34.334.334.134.234.634.234.034.2
 
Males
Total1 3941 4271 4041 4281 4411 4341 4221 436
Part-time, total204208208209199214215214
Short part-time. 1-9 hours4746474742485651
Short part-time. 10-19 hours6663676559626561
Long part-time. 20-29 hours4955545754545157
Long part-time. 30-36 hours4244414143504345
Full time, total1 1871 2141 1901 2131 2391 2161 2031 219
Full time. 32-36 hours8186828588878992
Full-time. 37-44 hours9589869709871 004982980987
Full-time. 45 hours and more145140135138145144132138
Average contractual/usual working hours36.636.636.436.536.936.536.236.5
 
Females
Total1 2531 2681 2561 2691 2721 2741 2701 283
Part-time, total462468461473460476468470
Short part-time. 1-9 hours7986908774939592
Short part-time. 10-19 hours128125121126127126124122
Long part-time. 20-29 hours133134131136136133129134
Long part-time. 30-36 hours122122119124123124120121
Full time, total786795789790808793797808
Full time. 32-36 hours9291868696939499
Full-time. 37-44 hours648658655656664658663661
Full-time. 45 hours and more4444464545413845
Average contractual/usual working hours31.831.731.631.631.931.531.531.7

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
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 9663 9933 9833 9883 9964 0044 0064 012
Part-time employees665675670682659690682683
Employed2
Total2 4042 4422 4042 4442 4772 4442 4262 453
Part-time employees431433426441431435427427
Attended school, studied
Total513500521498473508523520
Part-time employees156153158152145156158162
Homeworking
Total4041404341393842
Part-time employees45575346
Early retired/disabled
Total382396381390395419406413
Part-time employees2325202326303030
Retired
Total387391395394390384393392
Part-time employees1519211818202020
Other activities/Unspecified
Total241222241220220209220191
Part-time employees3640404134464439
 
15-19 years
Persons
Total322320322319320321320320
Part-time employees7270686971727172
Employed2
Total3939373245413733
Part-time employees87658877
Attended school, studied
Total266263270270253260262268
Part-time employees5856565955555659
Other activities/Unspecified
Total1818151722192018
Part-time employees67658997
 
20-24 years
Persons
Total343342342343341340341339
Part-time employees10810711011399108110113
Employed2
Total143150138158161142139144
Part-time employees3534324130333335
Attended school, studied
Total155146155139137155160153
Part-time employees6665696461666769
Homeworking
Total22333211
Part-time employees00100001
Other activities/Unspecified
Total4343474441414041
Part-time employees78897999
 
25-54 years
Persons
Total2 1692 1802 1762 1762 1822 1852 1852 188
Part-time employees336339338340331345344337
Employed2
Total1 7211 7471 7281 7471 7631 7531 7441 763
Part-time employees272275273276276276273271
Attended school, studied
Total9189948782919896
Part-time employees3231332929353534
Homeworking
Total2829283028293032
Part-time employees34354323
Early retired/disabled
Total166168163165165178174179
Part-time employees10109109111411
Other activities/Unspecified
Total163147163147144134140119
Part-time employees1818192113212017
 
55-66 years
Persons
Total728738734737738742743748
Part-time employees123126125127124128122127
Employed2
Total470474474475474473471480
Part-time employees10410310310510010298101
Homeworking
Total99999878
Part-time employees11121011
Early retired/disabled
Total189202192199204214206209
Part-time employees1215111317181518
Retired
Total3329333226232926
Part-time employees33542233
Other activities/Unspecified
Total2824252225242423
Part-time employees34544544
 
67-74 years
Persons
Total404413410413416416417417
Part-time employees2733293233373634
Employed2
Total3132283235363533
Part-time employees1314111516161613
Homeworking
Total11101100
Part-time employees00000000
Retired
Total353362363362363360364365
Part-time employees1216151415181617
Other activities/Unspecified
Total1919191817191919
Part-time employees12231333

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
1
Total2 6472 6942 6602 6972 7132 7082 6922 719
01-03 Agriculture, forestry and fishing5656545959545356
05-09 Mining and quarrying5362616264626161
10-33 Manufacturing210207203204210212207208
35-39 Power and water supply, sew./remed.act.3231303332312929
41-43 Construction210220216220224220221222
45-47 Domestic trade, car repair shops358350347352351350347358
49-53 Transportation and storage134127129127126127126124
55-56 Accomm. and food service act.8290898894919091
58-63 Information and communication10010399105105104104105
64-66 Financial and insurance act.5054555453545350
68-75 Real estate, profess., scient. and tech.act.177186184185187188187183
77-82 Adm. and support service act.122132128130131138129133
84 Public administration and defence183183185186183177177175
85 Education219222225222218222224232
86-88 Human health and social work act.540549540549554551554567
90-99 Other service act.114120114120122123127117
Unspecified72212437

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
1The time series is not adjusted for alternating holidays.
00-99 Total2 0162 0372 0612 1221 8512 1132 1632 053
01-03 Agriculture, forestry and fishing5759556661535361
05-09 Mining and quarrying4352485254534952
10-33 Manufacturing174168169172156176183172
35-39 Electricity, water supply, sewerage, waste management2627272924282724
41-43 Construction180187185194173195198181
45 Wholesale and retail trade and repair of motor vehicles and motorcycles4441434437414239
46 Wholesale trade, except of motor vehicles and motorcycles8684878576879188
47 Retail trade, except of motor vehicles and motorcycles125125123125120132126124
49-53 Transportation and storage11010410310798107105105
55-56 Acommodation and food service activities5659565860615762
58-63 Information and communication8485888875919588
64-66 Financial and insurance activities4244464637464739
68-75 Real estate, professional, scientific and technical activities146149154156132155167150
77-82 Administrative and support service activities88969398921019998
84 Public adm., defence, soc. security149149158158130149152139
85 Education154157170168121167176159
86-88 Human health and social work activities369370378388330382404386
90-99 Other service activities7881798674869183

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Both sexes
In total100.0100.0100.0100.0100.0100.0100.0100.0
At work83.883.786.989.273.085.989.886.3
Temporarily absent, total16.216.313.110.827.014.110.213.7
Illness3.43.44.23.03.03.53.83.5
Holiday8.38.43.83.620.65.62.15.2
Taking time off/ working time arrangement1.41.51.61.21.02.11.42.0
Laid off0.10.00.10.00.00.00.10.0
Other reason/ unspecified3.13.03.43.02.52.92.83.1
 
Males
In total100.0100.0100.0100.0100.0100.0100.0100.0
At work85.585.388.590.575.287.391.687.9
Temporarily absent, total14.514.711.59.524.812.78.412.1
Illness2.83.03.72.52.82.92.92.7
Holiday8.28.23.93.519.35.82.25.0
Taking time off/ working time arrangement1.61.71.71.51.22.41.72.3
Laid off0.10.10.10.10.00.00.10.0
Other reason/ unspecified1.81.82.11.91.51.51.52.1
 
Females
In total100.0100.0100.0100.0100.0100.0100.0100.0
At work81.881.985.287.870.584.287.984.4
Temporarily absent, total18.218.114.812.229.515.812.115.6
Illness4.03.94.73.53.14.34.74.3
Holiday8.58.73.73.622.05.21.95.4
Taking time off/ working time arrangement1.21.21.50.90.71.81.21.6
Laid off0.00.00.00.00.00.00.00.0
Other reason/ unspecified4.54.34.84.23.74.54.34.2

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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Both sexes
In total2 6472 6942 6602 6972 7132 7082 6922 719
At work2 2172 2552 3132 4071 9792 3252 4182 346
Temporarily absent, total430439347290734383274373
Illness909211180819610194
Holiday2202271029655815056140
Taking time off/ working time arrangement3739423226573954
Laid off21210011
Other reason/ unspecified8280918068797684
 
Males
In total1 3941 4271 4041 4281 4411 4341 4221 436
At work1 1921 2181 2421 2931 0831 2521 3031 262
Temporarily absent, total202209162135358182119174
Illness3942513541414139
Holiday1141175550278843171
Taking time off/ working time arrangement2224242118342433
Laid off11210011
Other reason/ unspecified2625302821222230
 
Females
In total1 2531 2681 2561 2691 2721 2741 2701 283
At work1 0251 0381 0701 1148961 0731 1161 083
Temporarily absent, total228230186155376201154200
Illness5150594540546056
Holiday1061104746280672569
Taking time off/ working time arrangement151518118231521
Laid off00100000
Other reason/ unspecified5755615347575454

Table 15 
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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Total209211196210229209186198
01-03 Agriculture, forestry and fishing33344223
05-39 Mining etc., manufacture, power and water supply131291014131113
41-43 Construction810891211910
45-47 Wholesale and retail trade: repair of motor vehicles and motorcycles2320171925201924
49-53 Transportation and storage888108656
55-56 Accommodation and food service activities111211111711910
58-63 Information and communication45366442
64-66 Financial and insurance activities11101111
68-82 Real estate, scientific, technical, administrative and support service activities2427242729272121
84 Public adm., defence, soc. security12111110131099
85 Education2829322825312831
86-88 Human health and social work activities6161576364605659
90-99 Other service activities111111111113119

Table 16 
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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Total8.48.47.98.39.08.37.47.8
01-03 Agriculture, forestry and fishing9.111.310.813.811.98.28.410.8
05-39 Mining etc., manufacture, power and water supply4.64.03.33.54.74.53.94.5
41-43 Construction4.65.14.44.75.85.44.45.0
45-47 Domestic trade, car repair shop6.66.15.25.77.45.95.86.9
49-53 Transportation and storage6.36.86.48.67.05.24.15.2
55-56 Accomommodation and food service activities14.214.512.613.718.612.910.711.1
58-63 Information and communication4.14.93.56.25.84.14.02.4
64-66 Financial and insurance activities2.01.21.90.71.01.12.22.2
68-82 Real estate, scientific, technical, administrative and support service activities8.99.48.69.510.19.37.47.4
84 Public adm., defence, soc. security6.86.05.85.57.05.65.25.0
85 Education13.213.314.612.911.714.012.913.6
86-88 Human health and social work activities11.711.511.011.812.111.310.510.8
90-99 Other service activities12.111.811.611.111.612.910.49.5

Table 17 
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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Unemployed
Both sexes
In total1171081101091149810897
15-24 years3935314035333739
25-54 years6865736269576151
55-74 years987798107
Males
In total6861656365506056
15-24 years2320192420162020
25-54 years3936423540293231
55-74 years65346585
Females
In total4947454649484840
15-24 years1715121616171719
25-54 years2929312730282919
55-74 years33323322
 
Unemployed as per cent of the labour force
Both sexes
In total4.23.84.03.94.03.53.93.4
15-24 years10.89.68.810.89.59.210.310.7
25-54 years3.73.53.93.33.73.03.32.7
55-74 years1.71.41.21.21.61.51.81.2
Males
In total4.64.14.44.24.33.44.03.8
15-24 years12.110.510.512.310.18.810.710.8
25-54 years4.03.74.33.53.92.93.33.1
55-74 years2.11.51.21.51.91.72.61.7
Females
In total3.83.63.53.53.73.73.73.1
15-24 years9.48.76.99.28.79.79.810.6
25-54 years3.43.33.53.13.33.23.22.2
55-74 years1.11.21.31.01.31.20.90.7

Table 18 
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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
Total1171081101091149810897
1-4 weeks2424232924212320
5-13 weeks2422221924212221
14-26 weeks1817181818141918
27-39 weeks56448697
40-52 weeks1815171615121311
53 weeks and over1614141214161513
 
Total100100100100100100100100
1-4 weeks2122212721212121
5-13 weeks2120201721212022
14-26 weeks1516161716141819
27-39 weeks46447687
40-52 weeks1514151513121211
53 weeks and over1413131112161413
 
Average duration (weeks)31.534.031.029.429.534.031.930.8

Table 19 
Unemployed persons aged 15-74, by main activity (LFS). 1 000

Unemployed persons aged 15-74, by main activity (LFS). 1 0001
Annual average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
1The distribution on main activity is based on the respondents’ self-perception regarding their situation. For example, a lot of unemployed people are attending education as their main activity.
Total11171081101091149810897
Home working122122221
Attended school, studied13126233126252931
Unemployed17572796778647058
Other activities/Unspecified1107878786

Table 20 
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 average1st quarter 20182nd quarter 20183rd quarter 20184th quarter 20181st quarter 20192nd quarter 2019
20172018
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
Total1171081101091149810897
1-19 hours2119191322202613
20-36 hours2424203320221921
37 hours or more7265726371566463
Average working hours desired (hours per week)3232323332313133
Number of man-weeks desired9992959597828986
Underemployed persons
Total6166636265726470
1-19 hours45634575
20-36 hours2425252324272424
37 hours or more3336323537403440
Average working hours desired (hours per week)3434333534343334
Desired man-weeks subtracted present man-weeks2325232425282626
 
Number of man-weeks supplied, total1122117118119122110115112
 
Males
Unemployed persons
Total6861656365506056
1-19 hours9794106123
20-36 hours121091966710
37 hours or more4743474049374143
Average working hours desired (hours per week)3334343434343235
Number of man-weeks desired6055595759455253
Underemployed persons
Total1821211920232221
1-19 hours12311232
20-36 hours56566775
37 hours or more1213131213141214
Average working hours desired (hours per week)3434333534343234
Desired man-weeks subtracted present man-weeks899881098
 
Number of man-weeks supplied, total16864686567556161
 
Women
Unemployed persons
Total4947454649484840
1-19 hours12121191214149
20-36 hours1314111414151111
37 hours or more2422242322192320
Average working hours desired (hours per week)3030303129292931
Number of man-weeks desired3938373838373733
Underemployed persons
Total4345424345504249
1-19 hours23323444
20-36 hours1919201717201719
37 hours or more2123192324262226
Average working hours desired (hours per week)3434333534343333
Desired man-weeks subtracted present man-weeks1516141616181618
 
Number of man-weeks supplied, total15454515454555351

Table 21 
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
20172018
Both sexesMalesFemalesBoth sexesMalesFemales
In total100.0100.0100.0100.0100.0100.0
1. Managers8.510.06.98.810.76.6
2. Professionals27.121.033.827.221.233.9
3. Technicians and associate professionals16.217.814.416.117.514.5
4. Clerical support workers5.64.76.55.54.56.7
5. Service and sales workers21.012.830.021.213.330.1
6. Skilled agricultural, forestry and fishery workers1.92.70.91.82.70.9
7. Craft and related trades workers9.216.70.99.216.60.9
8. Plant and machine operators and assemblers5.89.61.65.59.21.4
0,9. Other occupations4.84.65.04.74.45.0

Table 22 
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
20172018
Both sexesMalesFemalesBoth sexesMalesFemales
In total2 6471 3941 2532 6941 4271 268
1. Managers2251398623715284
2. Professionals717293424733303430
3. Technicians and associate professionals428248180433249184
4. Clerical support workers14766821486485
5. Service and sales workers555179376571189381
6. Skilled agricultural, forestry and fishery workers493811503812
7. Craft and related trades workers2442331124823612
8. Plant and machine operators and assemblers1541342014913217
0,9. Other occupations12764631276364

Table 23 
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
2018
All sectorsPrivate sector and public enterprisesPublic sector
Both sexesMalesFemalesBoth sexesMalesFemalesBoth sexesMalesFemales
In total2 6941 4271 2681 8011 146656873272601
1. Managers2371528419013356471927
2. Professionals733303430318186132412116296
3. Technicians and associate professionals4332491843252071191054164
4. Clerical support workers1486485125586723617
5. Service and sales workers57118938133713320522655171
6. Skilled agricultural, forestry and fishery workers503812483711211
7. Craft and related trades workers2482361223822711771
8. Plant and machine operators and assemblers1491321714412716431
0,9. Other occupations1276364773839472424

Table 24 
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
2018
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 69423773343314857150248149127
01-02 Agriculture and forestry381010131121
03 Fishing181121011010
05-09 Oil and gas extraction, mining and quarrying62614193108101
10-33 Manufacturing207272039166053434
35-39 Electricity, gas, water supply31368310424
41-43 Construction2202011217211242410
45-47 Domestic trade3505518493015603067
49-53 Transport and storage1278421221004499
55-56 Accommodation and food service activities90102375501111
58-63 Information and communication103126021330202
64-66 Financial and insurance activities5461133210001
68-82 Real estate, tech.adm service3182794762536414634
84 Public administration and defence18320744091403122
85 Education2221116585270006
86-88 Human health and social work activities5491722164822701110
90-99 Other service activities1201431267321335

Table 25 
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
2018
TotalPart-timePercent Part-timeFull-timePercent Full-timeAverage working hours per week
Both sexes
In total2 69467525.12 00974.634.3
1. Managers237187.521992.538.9
2. Professionals73314519.758780.135.6
3. Technicians and associate professionals4337016.136283.535.6
4. Clerical support workers1484228.110671.732.9
5. Service and sales workers57130553.526145.728.2
6. Skilled agricultural, forestry and fishery workers501121.53978.040.5
7. Craft and related trades workers248145.823394.037.7
8. Plant and machine operators and assemblers1491912.413087.437.5
0,9. Other occupations1275341.67357.429.4
 
Males
In total1 42720814.61 21485.136.6
1. Managers152117.014292.939.6
2. Professionals3033310.927089.037.3
3. Technicians and associate professionals2492710.922188.836.8
4. Clerical support workers641219.45180.534.6
5. Service and sales workers1897640.311158.730.7
6. Skilled agricultural, forestry and fishery workers38717.23182.242.6
7. Craft and related trades workers236125.122494.737.9
8. Plant and machine operators and assemblers1321410.911789.038.0
0,9. Other occupations631523.84775.133.4
 
Females
In total1 26846836.979562.731.6
1. Managers8478.27791.737.6
2. Professionals43011125.931773.834.3
3. Technicians and associate professionals1844323.114076.434.0
4. Clerical support workers852934.75565.031.7
5. Service and sales workers38122960.115039.326.9
6. Skilled agricultural, forestry and fishery workers12435.4764.333.3
7. Craft and related trades workers12219.0980.035.1
8. Plant and machine operators and assemblers17424.11375.634.3
0,9. Other occupations643859.22539.925.4

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.

Main activity

In addition to the measurement of employment and unemployment according to the international recommendations and definitions, it is also asked a single question in the LFS to all non-employed persons, and to the part-time employed persons, about their main activity. This variable gives the perons' self-perception regarding their activity or status. The purpose is to estimate how many people are in education, homemakers, pensioners etc., and how many have a part-time job besides. We also gain figures on how many of the unemployed people who are attending education. In the tables for those outside the labour force, i.e. neither employed nor unemployed, a group called "looking for work" is specified. They do not satisfy all the requirements to be classified as unemployed, but consider themselves as unemployed. 

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