352729
/en/utdanning/statistikker/utniv/aar
352729
statistikk
2019-06-20T08:00:00.000Z
Education;Immigration and immigrants
en
utniv, Educational attainment of the population, educational attainment (primary and lower secondary school, upper secondary school), university college/university), educationLevel of education, Education, Immigration and immigrants, Education
true

Educational attainment of the population

Updated

Next update

Not yet determined

Key figures

34.1 %

have attained higher education

Level of education for men and women 16 years and older.1
20132018
TotalTotalMalesFemales
11 For many immigrants Statistics Norway has no information about their level of education. From 2014, figures include an estimated level of education for missing values for these immigrants. See About the statistics about this and definitions of education levels. Tertiary vocational education was prior to 2016 included in upper secondary education.
Level of education, in total4 117 8094 339 4902 178 5652 160 925
Below upper secondary education1 103 2381 111 540571 085540 455
Upper secondary education1 650 4831 603 066862 053741 013
Tertiary vocational education125 78881 08944 699
Higher education, short887 1541 038 789422 087616 702
Higher education, long288 512432 346229 202203 144
Of this:
Ph.D.28 15844 74625 98018 766
Unknown or no completed education160 26427 96113 04914 912
Per cent
Below upper secondary education27.925.826.425.2
Upper secondary education41.737.239.834.5
Tertiary vocational education2.93.72.1
Higher education, short22.424.119.528.7
Higher education, long7.310.010.69.5
Of this
Ph.D.0.71.01.20.9

See selected tables from this statistics

Table 1 
Age groups and educational attainment

Age groups and educational attainment1
2018
Population 1OctoberHighest completed education
TotalBasic school levelUpper secondary educationTertiary vocational education2Higher education, short3Higher education, long4
1For many immigrants SSB has no information about their education. From 2014, figures include an estimated level of education for missing values for these immigrants. See About the statistics for more information.
2Includes intermediate level courses based on completed upper secondary level, but which are not accredited as higher education.
3Higher education, short comprises higher education up to 4 years in duration.
4Higher education, long comprises higher education more than 4 years in duration.
Total4 339 49025.837.22.924.110.0
16-19 years257 54485.914.10.00.0-
20-24 years340 25826.449.81.421.70.7
25-29 years370 20222.127.32.834.413.4
30-34 years364 96021.026.73.130.319.0
35-39 years352 67419.029.53.030.418.1
40-49 years729 34216.136.03.630.314.0
50-59 years692 58622.238.84.425.09.6
60-66 years417 76520.045.43.723.07.9
67 years or older814 15927.947.22.216.75.9
 
Males2 178 56526.439.83.719.510.6
16-19 years132 95388.411.60.00.0-
20-24 years175 95231.051.91.614.90.5
25-29 years189 24025.233.33.726.311.4
30-34 years186 39124.031.84.123.316.9
35-39 years181 78521.434.64.123.216.7
40-49 years374 59517.140.94.623.713.7
50-59 years354 77622.242.15.220.110.4
60-66 years209 50718.946.74.919.510.1
67 years or older373 36623.846.92.916.69.8
 
Females2 160 92525.234.52.128.79.5
16-19 years124 59183.316.70.00.0-
20-24 years164 30621.547.51.128.90.9
25-29 years180 96218.921.11.842.815.5
30-34 years178 56917.921.32.037.721.1
35-39 years170 88916.524.11.838.019.6
40-49 years354 74715.030.82.637.414.3
50-59 years337 81022.335.33.530.28.8
60-66 years208 25821.144.22.626.55.7
67 years or older440 79331.547.51.616.82.6

Table 2 
County of residence for educational attainment

County of residence for educational attainment1
NumbersPer cent
NumbersBelow upper secondary educationUpper secondary educationTertiary vocational education2Higher education, short3Higher education, long4Unknown or no completed educationBelow upper secondary educationUpper secondary educationTertiary vocational education2Higher education, short3Higher education, long4
1For many immigrants SSB has no information about their education. From 2014, figures include an estimated level of education for missing values for these immigrants. See About the statistics for more information.
2Includes intermediate level courses based on completed upper secondary level, but which are not accredited as higher education.
3Higher education, short comprises higher education up to 4 years in duration.
4Higher education, long comprises higher education more than 4 years in duration.
Both sexes
19853 279 5981 478 5201 327 579330 38490 37952 73645.841.110.22.8
19903 399 4681 389 0631 434 984412 253108 03455 13441.542.912.33.2
19953 474 2511 244 9291 523 225519 721131 93354 44336.444.515.23.9
20003 558 4361 181 5971 551 474604 165167 37653 82433.744.317.24.8
20053 675 8681 123 5711 570 077699 717205 97676 52731.243.619.45.7
20103 937 8471 111 3791 625 640811 360269 627119 84129.142.621.37.1
20154 221 9851 128 1921 715 210964 944384 75528 88426.940.923.09.2
 
20184 339 4901 111 5401 603 066125 7881 038 789432 34627 96125.837.22.924.110.0
Østfold244 26975 27196 5726 21650 60913 8911 71031.039.82.620.95.7
Akershus495 579117 316171 20513 148128 56162 2153 13423.834.82.726.112.6
Oslo560 693112 834143 11912 238170 078116 0946 33020.425.82.230.720.9
Hedmark165 00851 00765 4774 17034 2139 1141 02731.139.92.520.95.6
Oppland158 43145 58765 9884 44532 7598 79286028.941.92.820.85.6
Buskerud231 32364 25688 3687 05552 25517 8341 55528.038.53.122.77.8
Vestfold206 19053 93081 0776 68348 70514 4301 36526.339.63.323.87.0
Telemark143 81440 75059 1194 34930 3738 31391028.541.43.021.35.8
Aust-Agder95 28925 16538 2753 44521 4126 44654626.640.43.622.66.8
Vest-Agder150 65037 78961 6164 77234 81010 74292125.241.23.223.27.2
Rogaland376 76593 438145 88012 32586 14436 7362 24224.939.03.323.09.8
Hordaland424 827101 204160 37613 692104 16843 2222 16523.937.93.224.610.2
Sogn og Fjordane89 33922 17038 6742 90919 8405 36238424.943.53.322.36.0
Møre og Romsdal217 95258 09388 9018 33948 63212 8811 10626.841.03.822.45.9
Trøndelag376 99991 895147 6909 64588 81437 3621 59324.539.32.623.710.0
Nordland201 33661 30679 2376 11542 16411 53398130.639.53.121.05.8
Troms - Romsa137 91138 59849 2944 30531 53613 53164728.135.93.123.09.9
Finnmark - Finnmárku62 82120 82622 1361 93013 6333 81548133.435.53.121.96.1
County not stated2941056278333436.221.42.428.611.4
 
Males
19851 606 112668 083677 653156 99474 65528 72742.443.010.04.7
19901 665 359625 971732 135191 89884 91730 43838.344.811.75.2
19951 701 135557 611783 418234 41497 81227 88033.346.814.05.8
20001 746 270540 425799 796263 748115 41726 88431.446.515.36.7
20051 807 423530 769815 111292 386133 16335 99430.046.016.57.5
20101 956 835541 295857 139332 068160 18166 15228.645.317.68.5
20152 117 010570 495927 460394 123211 31713 61527.144.118.710.0
 
20182 178 565571 085862 05381 089422 087229 20213 04926.439.83.719.510.6
Østfold121 68838 06651 5863 42520 1567 66878731.542.72.816.76.3
Akershus247 26961 03190 0686 99553 97033 7181 48724.836.62.822.013.7
Oslo277 99958 88375 1836 17975 37759 7042 67321.427.32.227.421.7
Hedmark81 99426 09434 9282 76312 8634 81353332.042.93.415.85.9
Oppland79 24423 79535 0902 97612 2964 65743030.244.53.815.65.9
Buskerud115 91633 19846 5534 29521 4259 74969628.840.43.718.68.5
Vestfold102 14127 28942 2704 17019 9117 83866326.941.74.119.67.7
Telemark71 58020 29331 6912 99411 5814 60841328.544.54.216.36.5
Aust-Agder47 95312 53520 5862 4908 4613 61226926.343.25.217.77.6
Vest-Agder75 22319 08832 6623 37713 7225 96540925.543.74.518.38.0
Rogaland191 11947 06880 7858 31533 92619 9911 03424.842.54.417.810.5
Hordaland214 48150 99488 1029 18542 59422 5371 06923.941.34.320.010.6
Sogn og Fjordane45 51811 64221 2842 2247 4482 72919125.747.04.916.46.0
Møre og Romsdal111 01530 06748 3226 27619 1546 66453227.243.75.717.36.0
Trøndelag190 88247 12880 6386 44635 29420 61576124.842.43.418.610.8
Nordland101 84431 72442 8374 39916 4265 95650231.342.34.316.25.9
Troms - Romsa70 11320 38827 1063 18412 4646 65032129.238.84.617.99.5
Finnmark - Finnmárku32 47011 76412 3371 3934 9791 71927836.538.34.315.55.3
County not stated11638253409133.021.72.634.87.8
 
Females
19851 673 486810 437649 926173 39015 72424 00949.139.410.51.0
19901 734 109763 092702 849220 35523 11724 69644.641.112.91.4
19951 773 116687 318739 807285 30734 12126 56339.442.416.32.0
20001 812 166641 172751 678340 41751 95926 94035.942.119.12.9
20051 868 445592 802754 966407 33172 81340 53332.441.322.34.0
20101 981 012570 084768 501479 292109 44653 68929.639.924.95.7
20152 104 975557 697787 750570 821173 43815 26926.737.727.38.3
 
20182 160 925540 455741 01344 699616 702203 14414 91225.234.52.128.79.5
Østfold122 58137 20544 9862 79130 4536 22392330.637.02.325.05.1
Akershus248 31056 28581 1376 15374 59128 4971 64722.832.92.530.211.6
Oslo282 69453 95167 9366 05994 70156 3903 65719.324.32.233.920.2
Hedmark83 01424 91330 5491 40721 3504 30149430.237.01.725.95.2
Oppland79 18721 79230 8981 46920 4634 13543027.739.21.926.05.3
Buskerud115 40731 05841 8152 76030 8308 08585927.136.52.426.97.1
Vestfold104 04926 64138 8072 51328 7946 59270225.837.62.427.96.4
Telemark72 23420 45727 4281 35518 7923 70549728.538.21.926.25.2
Aust-Agder47 33612 63017 68995512 9512 83427726.837.62.027.56.0
Vest-Agder75 42718 70128 9541 39521 0884 77751225.038.61.928.16.4
Rogaland185 64646 37065 0954 01052 21816 7451 20825.135.32.228.39.1
Hordaland210 34650 21072 2744 50761 57420 6851 09624.034.52.229.49.9
Sogn og Fjordane43 82110 52817 39068512 3922 63319324.139.91.628.46.0
Møre og Romsdal106 93728 02640 5792 06329 4786 21757426.338.21.927.75.8
Trøndelag186 11744 76767 0523 19953 52016 74783224.236.21.728.99.0
Nordland99 49229 58236 4001 71625 7385 57747929.936.81.726.05.6
Troms - Romsa67 79818 21022 1881 12119 0726 88132627.032.91.728.310.2
Finnmark - Finnmárku30 3519 0629 7995378 6542 09620330.132.51.828.77.0
County not stated178673744324338.321.12.324.613.7

Table 3 
Districts in Oslo and educational attainment

Districts in Oslo and educational attainment1
2018
NumbersPer cent
TotalBelow upper secondary educationUpper secondary educationTeritary vocational education2Higher educationUnknown or not completed education1Below upper secondary educationUpper secondary educationTeritary vocational education2Higher education
1For many immigrants SSB has no information about their education. From 2014, figures include an estimated level of education for missing values for these immigrants. See About the statistics for more information
2Includes intermediate level courses based on completed upper secondary level, but which are not accredited as higher education.
Oslo total560 817112 873143 14012 243286 2326 32920.425.82.251.6
Gamle Oslo46 6519 85010 44791524 78465521.422.72.053.9
Grünerløkka52 4559 05111 5811 09430 20952017.422.32.158.2
Sagene37 9375 7637 22867623 89237815.319.21.863.6
St. Hanshaugen34 1364 5376 94765421 76223613.420.51.964.2
Frogner52 6066 67511 6181 18232 68644512.822.32.362.7
Ullern27 2753 2266 09372417 06117111.922.52.762.9
Vestre Aker38 5374 7438 13594324 46525112.421.22.563.9
Nordre Aker41 0195 4849 13483125 36220813.422.42.062.1
Bjerke25 3796 5527 27455910 64634826.229.12.242.5
Grorud22 4217 5407 3954436 64739634.233.62.030.2
Stovner26 0909 7608 9064316 42157238.234.91.725.2
Alna39 75712 73812 96585112 39281132.733.32.231.8
Østensjø40 1668 80812 7751 07317 19831222.132.12.743.2
Nordstrand41 2396 91512 1061 16920 76028916.929.62.950.7
Søndre Nordstrand30 0479 7468 98860410 10260733.130.52.134.3
Sentrum1 273252336236441820.126.81.851.3
Marka1 35526349131565519.536.42.341.9
Unknown urban district Oslo2 4749707214063610741.030.51.726.9

Table 4 
Immigrants by country background and educational attainment

Immigrants by country background and educational attainment1
2018
Level of education, in totalNo completed educationBelow upper secondary educationUpper secondary educationTertiary vokational education2Higher education, short3Higher education, long4
1For many immigrants SSB has no information about their education. From 2014, figures include an estimated level of education for missing values for these immigrants. See About the statistics for more information.
2Includes intermediate level courses based on completed upper secondary level, but which are not accredited as higher education.
3Higher education, short comprises higher education up to 4 years in duration.
4Higher education, long comprises higher education more than 4 years in duration.
Total701 00711 795220 088188 8538 365159 189112 717
Poland92 37414118 39642 96999115 12414 753
Sweden34 4221604 21711 83151512 1195 580
Germany23 090474 9605 7162365 9366 195
Iraq21 92460110 0535 1192294 4541 468
Lithuania36 10628210 0839 70124511 0584 737
Denmark18 527783 5055 8362385 7673 103
Somalia25 4412 22516 5784 1461411 957394
Pakistan19 8119589 0304 0801803 5322 031
Iran17 0844185 2493 8213354 1443 117
Philippines20 5481414 7314 9602857 6752 756
Vietnam13 7946235 6083 8732232 3161 151
Russia16 592454 1143 2452553 5905 343
Bosnia-Herzegovina13 4991172 7375 5021983 4301 515
United Kingdom13 626491 9322 7851615 4553 244
Thailand18 7026549 6774 3231363 003909
Turkey11 3003875 7742 8551021 431751
Afghanistan15 7631 1549 2932 974741 734534
Kosovo10 049993 7333 8041141 893406
Sri Lanka9 0261133 5482 8772561 584648
United States8 239218861 194943 0692 975
India11 3851151 7921 3221114 2123 833
China8 6151361 8341 340762 3052 924
Eritrea19 32440613 9942 8722161 520316
Chile6 057691 5962 1741441 503571
Finland6 270221 1061 688782 3161 060
Netherlands7 189219131 980772 3571 841
Latvia9 459722 2763 313952 3601 343
Romania13 630453 4564 2141633 1752 577
Iceland6 320141 4322 0931521 708921
Morocco5 8524102 7491 43075928260
Ethiopia7 4061853 3831 6501111 224853
France5 09317546592431 4432 452
Estonia4 356331 0161 517561 137597
Brazil4 650621 542949819751 041
Ukraine5 07212782776791 2732 150
Bulgaria6 497441 7282 061731 3441 247
Croatia4 407281 2001 68762832598
Spain5 355191 262707451 3861 936
Slovakia3 597334761 77548592673
Myanmar2 999831 79962431360102
Serbia5 645131 1621 886801 2491 255
North Macedonia2 722501 09888023471200
Hungary3 564175551 03847942965
Italy3 97615755861336981 614
Palestine2 833141 27351537667327
Lebanon1 8572982043524360189
Canada1 8421022525629627695
Czech Republic2 1441326870739500617
Ghana1 9221748940134466515
Congo2 2061897154657461153
Syria21 24861214 3871 2681593 6251 197
Australia1 529318522835584495
Portugal3 01925879564164871 048
Sudan3 7871242 21446933653294
Colombia1 9601147037536433635
Switzerland1 352017734319408403
Nigeria1 7433143932733392521
Kenya1 639853234738492222
Algeria1 2102442528613273189
Indonesia1 299331125412387332
Austria1 232418433016271427
Gambia1 145344843883115949

Table 5 
Norwegian-born with immigrant parents and educational attainment by field of education

Norwegian-born with immigrant parents and educational attainment by field of education1
2018
TotalBelow upper secondary educationUpper secondary educationTertiary vocational education2Higher education, short3Higher education, long4Unknown or no completed education1
1For many immigrants SSB has no information about their level of education. From 2014, figures include an estimated level of education for missing values for these immigrants. For more information see About the statistics.
2Includes intermediate level courses based on completed upper secondary level, but which are not accredited as higher education.
3Higher education, short comprises higher education up to 4 years in duration.
4Higher education, long comprises higher education more than 4 years in duration.
Total53 67321 82614 87166810 3674 3951 546
General programmes30 95221 8219 096341-..
Humanities and arts1 351-32975723224..
Education1 323-3-1 202118..
Social sciences and law2 022-220171 098687..
Business and administration4 585-7951972 833760..
Natural sciences, vocational and technical subjects5 04032 1101831 868876..
Health, welfare and sport5 85011 789412 3371 682..
Primary industries65-55-28..
Transport and communications, safety and security and other services789-45910720815..
Unspecified field of study1 6961151495251 546
 
Males27 64612 3927 5873464 4272 065829
General programmes16 83412 3894 42223--..
Humanities and arts471-1042225095..
Education338---31127..
Social sciences and law739-11812374235..
Business and administration2 264-315451 485419..
Natural sciences, vocational and technical subjects4 09711 9881771 346585..
Health, welfare and sport1 55614156462672..
Primary industries44-39-14..
Transport and communications, safety and security and other services407-1825615712..
Unspecified field of study8961454116829
 
Females26 0279 4347 2843225 9402 330717
General programmes14 1189 4324 674111-..
Humanities and arts880-22553473129..
Education985-3-89191..
Social sciences and law1 283-1025724452..
Business and administration2 321-4801521 348341..
Natural sciences, vocational and technical subjects94321226522291..
Health, welfare and sport4 294-1 374351 8751 010..
Primary industries21-16-14..
Transport and communications, safety and security and other services382-27751513..
Unspecified field of study800-119549717

Table 6 
Reason for immigration and educational attainment

Reason for immigration and educational attainment12
2018
NumbersPer cent
TotalNo completed educationBasic school levelUpper secondary education3Higher education, short4Higher education, long5
1For many immigrants SSB has no information about their level of education. 2014 figures includes an estimated level of education for missing values for these immigrants. See About the statistics for more information.
2Very few non-Nordic immigrants resident after 1989 lacks reason for immigration. Unknown reason for immigration is therefore not included in this table.
3Includes intermediate level courses based on completed upper secondary level, but which are not accredited as tertiary education
4Higher education, short comprises higher education up to 4 years in duration.
5Higher education, long comprises higher education more than 4 years in duration.
 
Sex, reason for immigration and country background
 
Both sexes557 5411.733.625.921.216.6
Males291 4981.134.529.518.615.4
Females266 0432.332.621.924.117.9
 
Labour
Total193 2310.518.434.123.122.9
Europe except Turkey
Males123 8690.420.542.318.817.1
Females48 0110.314.923.131.129.5
Africa
Males2 1341.627.117.621.131.4
Females6972.225.716.925.029.3
Asia including Turkey
Males8 8141.112.89.330.945.3
Females3 3870.811.513.337.835.8
North America
Males1 3690.69.16.632.550.0
Females775:6.14.334.354.7
Oceania
Males762:11.314.635.336.6
Females243-11.17.044.935.4
South- and Central-America
Males1 9610.514.114.123.247.0
Females1 2090.519.013.523.642.2
 
Family
Total198 4591.839.024.120.713.2
Europe except Turkey
Males19 5120.242.330.515.710.1
Females51 2340.325.027.323.822.2
Africa
Males11 6281.757.521.013.45.5
Females16 3894.853.720.714.85.0
Asia including Turkey
Males23 0331.547.423.817.29.1
Females61 6543.342.321.522.39.7
North America
Males1 596:13.816.639.129.3
Females1 9870.410.212.640.235.5
Oceania
Males371-11.127.840.219.7
Females235:12.316.243.026.8
South- and Central-America
Males3 1510.836.525.219.516.4
Females7 6690.930.323.423.919.7
 
Refugee
Total129 7103.553.320.516.05.5
Europe except Turkey
Males12 0910.330.139.621.07.7
Females11 3621.329.835.623.38.4
Africa
Males25 8243.064.215.512.14.0
Females17 2898.261.517.79.61.8
Asia including Turkey
Males41 7402.357.016.416.96.4
Females20 8176.052.617.417.55.5
North America
Males15-33.333.326.7:
Females12-33.3:33.3:
Oceania
Males::::::
Females::::::
South- and Central-America
Males271:36.524.722.514.0
Females286:37.827.321.39.4
 
Education
Total33 0960.212.910.433.042.3
Europe except Turkey
Males4 6830.115.59.526.347.8
Females8 7910.211.99.034.143.7
Africa
Males1 6580.39.84.927.556.6
Females1 0640.513.610.330.442.9
Asia including Turkey
Males4 4950.26.47.429.455.8
Females9 6840.116.215.838.827.5
North America
Males4920.812.84.131.151.0
Females656:7.53.441.346.3
Oceania
Males74-10.8:25.760.8
Females78-17.9:30.846.2
South- and Central-America
Males571:10.74.719.363.7
Females850:17.510.128.542.2
 
Other
Total3 0451.124.420.827.725.0
Europe except Turkey
Males8890.322.023.428.524.7
Females8760.522.619.425.930.4
Africa
Males90:42.215.623.315.6
Females2504.854.818.413.66.4
Asia including Turkey
Males2761.421.421.433.321.0
Females3961.518.423.733.822.0
North America
Males74-14.917.633.833.8
Females76-7.915.838.238.2
Oceania
Males16-:-37.550.0
Females5---::
South- and Central-America
Males38-21.121.121.136.8
Females59:23.713.622.037.3

About the statistics

Educational attainment of the population includes residents in Norway as per 1 October, who are aged 16 and older by the end of the calendar year. Fifteen-year-olds are also included if they have completed compulsory education or are already enrolled in upper secondary education or higher education.

Definitions

Definitions of the main concepts and variables

Completed education: Educational activities that are completed at an educational institution during the period in question.

Type of educational programme: Classified according to the revised Norwegian Standard Classification of Education (NUS2000), which classifies educational programmes by level and field of study. All NUS2000 codes are assigned a corresponding international code (ISCED97) for international reporting purposes.

Class level: According to the NUS89 classification, upper secondary school began at class level 10, whereas according to NUS2000 it begins at class level 11. This is due to Reform 97, which introduced a ten-year primary and lower secondary school system by lowering the school age to six

Education level: The definitions for level of education were revised in 2006. Definitions are as follows (effective from 01. October, 2005):

PRIMARY AND LOWER SECONDARY LEVEL
- All individuals who have completed lower secondary school.

  • NUS2000-level = 1 and 2
  • ISCED97-level = 1 and 2
  • ISCED2011-level = 1 and 2

- Individuals who completed an upper secondary education shorter than two years in duration, in the period 1975/76 to 1994/95. This primarily entails people who only completed foundation courses at upper secondary school.

  • NUS2000-level = 2
  • ISCED97-level = 2
  • ISCED2011-level = 2

- Individuals who completed an upper secondary education shorter than three years in duration, from 1995/96 onwards. This primarily entails people who completed foundation courses or advanced courses I at upper secondary school.

  • NUS2000-level = 2
  • ISCED97-level = 2
  • ISCED2011-level = 2

UPPER SECONDARY SCHOOL LEVEL
- All individuals who completed upper secondary school prior to 1974/75, regardless of schooling duration.

  • NUS2000-level = 3 and 4
  • ISCED97-level = 3
  • ISCED2011-level = 3

- Individuals who completed an upper secondary education 2 years or longer in duration, in the period 1975/76 to 1994/95. This primarily entails people who completed advanced courses I or advanced courses II at upper secondary school.

  • NUS2000-level = 3 and 4
  • ISCED97-level = 3
  • ISCED2011-level= 3

- Individuals who completed an upper secondary education three years or longer in duration, from 1995/96 onwards. This primarily entails people who completed advanced courses II/Vg3 at upper secondary school.

  • NUS2000-level = 4
  • ISCED97-level = 3
  • ISCED2011-level = 3

- Individuals who completed less than 120 credit points from higher education, from 1998/99 onwards.

  • NUS2000-level = 4 and 5
  • ISCED97-level = 3 and 4
  • ISCED2011-level = 3 and 4

TERTIARY VOCATIONAL EDUCATION
- Individuals who completed intermediate level courses, based on completed upper secondary level, but which are not accredited as higher education.

  • NUS2000-level = 5
  • ISCED97-level = 4
  • ISCED2011-level = 3, 4 and 5

HIGHER EDUCATION - undergraduate level
- Individuals who completed a degree from higher education up to four years in duration, prior to 1998/99.

  • NUS2000-level = 6
  • ISCED97-level = 5
  • ISCED2011-level = 5, 6 and 7

- Individuals, who have not completed a full degree from higher education, but have completed 120 credit points or more, from 1998/99 onwards.

  • NUS2000-level = 6
  • ISCED97-level = 5
  • ISCED2011-level = 5

HIGHER EDUCATION - postgraduate level
- All individuals who have completed a postgraduate degree from higher education. The majority of these degrees will be five years or longer in duration.

  • NUS2000-level = 7
  • ISCED97-level = 5
  • ISCED2011-level = 7

- All individuals who have completed a doctoral degree.

  • NUS2000-level = 8
  • ISCED97-level = 6
  • ISCED2011-level = 8

Standard classifications

Educational programmes are classified according to the Norwegian Standard Classification of Education (NUS). NUS is a six-digit education code, where the 1. digit indicates the level of education, 2.-4. digits indicate field of study and a full six-digit education code indicates an individual programme of education.

Education statistics are reported to OECD in accordance with the International Standard Classification of Education 2011 (ISCED2011) .

Administrative information

Name and topic

Name: Educational attainment of the population
Topic: Education

Responsible division

Division for Education and Culture Statistics

Regional level

National, county and municipal level. In addition, figures for districts in the four largest cities are presented.

Frequency and timeliness

The statistics are published annually in June and refer to 1st of October the year before. 

International reporting

The data are delivered to OECD, UNESCO and Eurostat.

Microdata

All education statistics at Statistics Norway is stored in a proper, standardized manner in consultation with the Data Inspectorate.

Background

Background and purpose

The purpose of these statistics is to present individually based statistics on the population's highest level of education. These statistics are government funded.

Statistics on the population's highest level of education have been previously compiled in connection with the 1950, 1960, 1970 and 1980 census. In addition a status report was prepared on the population's highest level of education in 1975.

The information on the population's level of education was first collected as part of the Population and Housing Census in 1970 (FoB70). Information on the population's level of education has since been updated each year with annual files on education completed in Norway. The 1980 Population and Housing Census was used to update the level of education for Norwegians who completed a degree abroad between 1970 and 1980. To update the Register for the Population's level of Education on missing information about immigrants education completed abroad before immigrating to Norway, three surveys are contucted:

1. In 1991, information was collected on education completed abroad by foreign-born residents who immigrated to Norway for the first time between 01. November 1980 and 31. December 1990, and were aged 16 and over at the end of the first year they arrived. This survey was called Education Completed Abroad .

2. A similar survey was conducted in 1999 for all Norwegian residents with a foreign background who were listed in the Register of the Population's Level of Education with an unknown level of education. Also included in the 1999 survey were non-respondents to the 1991 survey and Norwegians who were living abroad when the Population's Level of Education register was first created in 1970.

3. In the autumn 2011 a new survey called "Survey on education 2011" was conducted. Statistics Norway conducted a survey among those registered in the Register of the Population's Level of Education with an unknown education level. Statistics Norway do not automatically get information about education completed in other counties by immigrants. There are no reporting about such education. Before the survey was conducted, Statistics norway lacked information about over 40 per cent of all immigrants elder than 16 years. The share of missing information increased every year because of new immigrants coming to Norway.

The Register for the Population’s Level of Education contains information on all residents, 16 years of age and older. While missing data is minimal in this register for persons who have completed their education in Norway, there is an increasing share of missing among immigrants who completed their education abroad before immigrating to Norway. With an increasing immigration to Norway in recent years, and probably in future, the missing gap is increasing. Census-surveys have filled some of the missing data, however, around 25 percent of immigrants still have an unknown level of education in 2014. With rising non-response in these census-surveys, the problem is unlikely to disappear.

An imputation method is used to create a “complete” dataset and aggregate tables is presented. For more information, se under Production.

 

Users and applications

Important users of the education statistics are public administration, special interest organizations, the media, researchers, business and industry. Key users among the ministries are, in particular, the Ministry of Education and Research, the Ministry of Local Government and Regional Development, the Ministry of Finance and the Ministry of Children and Family Affairs. The statistics are also used by international organizations such as the EU, the OECD and UNESCO.

In addition, the statistics are used internally in Statistics Norway in publications and in assignments.

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 8:00 AM. Prior to this, a minimum of three months' advance notice is given in the Statistics Release Calendar. This is one of Statistics Norway’s key principles for ensuring that all users are treated equally.

Coherence with other statistics

Education statistics are individually based and therefore easily linked to other individual-based statistics at Statistics Norway. Education statistics are used comprehensively by labour market statistics, health statistics, living conditions statistics and income and wage statistics. The education statistics are also used in various sample surveys directed by Statistics Norway.

Legal authority

Sections 2-2 and 3-2 of The Statistics Act of 16 June 1989.

EEA reference

Commission Regulation (EU) No 88/2011 of 2 February 2011 implementing Regulation (EC) No 452/2008 of the European Parliament and of the Council concerning the production and development of statistics on education and lifelong learning, as regards statistics on education and training systems.

Production

Population

The Register of the Population's Level of Education encompasses all individuals registered as a resident in Norway per 01. October and who are aged 16 and older at the end of the reporting year. Also included are 15-year-olds who have completed lower secondary school or are registered in upper secondary education or above.

Data sources and sampling

The level of education register is originally based on information from the 1970 Population and Housing Census. Each year, the database is updated with new information on completed degrees in Norway. Education completed abroad and supported by the State Education Loan Fund is included from 1986 onwards. Statistics Norway's special surveys Education Completed Abroad from 1990 and 1999 have also been used to update the database. The Health Personnel Register (HPR) and National Certificate Database (NVB) have been used as additional data sources since 2001, - and the Norwegian computer system for cases involving foreign nationals and refugees (UDB) since 2008.

The National Education Database (NUDB) was created in 2002 and contains individually based education statistics dating back to 1970. Each year the database is updated with records of current students and completed educations for the previous academic year. Course codes from the completed educations are used to update the population's level of education where applicable. If an individual has completed two courses of the same level, the one with the highest class level is chosen. Specific fields of study are chosen over general fields and newer courses are counted before older courses. Credit points have also been used to determine education level since 1999. Between 1999 and 2004, a higher education level was attained with a single year full-time loading of 60 credit points. From 01. October 2005 onwards, 120 credit points are required to attain a higher education level.

Collection of data, editing and estimations

Data collection: Pursuant to the Statistical Act, Statistics Norway collects student data from Norwegian Social Science Data Services (NSD) and the administrative systems of some higher education institutions. 

Editing: Editing includes both control and revision, and is performed on all data received from educational institutions. It encompasses deletion of duplicate records, a control for correct and valid values for each variable and checks for missing information. Several variables are re-coded to comply with control programs run by Statistics Norway and Personal ID-numbers are referenced against Statistics Norway's population database to check for errors.

Estimation: As from 1 October 2014 measures has been taken to be able to present statistics representative to immigrants at an aggregated level. An imputation method is used to create a “complete” dataset. A missing at random assumption is made, with imputation being based on a nearest neighbour technique called predictive mean matching. The auxiliary variables used to find a matching donor include gender, age, occupation, income, length of time living in Norway, citizenship and country of origin.

Results from the imputed dataset show some small overall changes. In general, imputation reduces the percentage of both the highest and lower education levels. Comparison of the imputation results among Swedish immigrants with data from Statistics Sweden shows the imputation proposed is adjusting the data in the right direction. For more about the methode, se Jentoft, 2014.

 

Seasonal adjustment

Not relevant

Confidentiality

The general rule is not to publish data if less than 3 individuals are found within a cell or unit in a table. This is to prevent identification of individuals within the statistics.

Comparability over time and space

Systematic collection of the population's attained level of education began in 1970. Prior to this, information on level of education was collected in connection with the 1950 and 1960 censuses.

Comparability of education level is difficult in the 1970's and 1980's. Comparisons in these earlier years should be restricted to the three principal education levels: primary and lower secondary, upper secondary and higher education.

Definitions for education level have been revised in 2006 to better reflect international standards. In general, the demands have been increased for attaining Levels of upper secondary and higher education.

Since all immigrants with unknown level of education received an estimated level of education in 2014 (see "Data collection, editing and estimations"), the comparability of immigrants education over time is influenced.

Accuracy and reliability

Sources of error and uncertainty

Although an individual may complete several educational programmes in the course of life, only the highest of these is registered in the database for the population's attained level of education. Errors may be linked to the education files that form the basis for the level of education. For example, individual tertiary institutions may wrongly define a student as meeting the requirements for completing a degree. Reporting of combined social science degrees (Cand.mag.) is a problem with several institutions because these degrees do not have a set curriculum and are only registered as complete when a diploma is issued. In many cases, this occurs some time after the student actually completed their degree and may be reported to Statistics Norway later than the actual time of completion.

Sources of error may also be connected with education completed abroad. The main sources of errors lie with immigrants with an unknown level of education and Norwegian-born citizens who completed education abroad between 1980 and 1986. The number of immigrants listed with an unknown level of education was reduced for a period of time after two Education Completed Abroad surveys were conducted in 1991 and 1999. The State Educational Loan Fund is the main source of data for education completed abroad by Norwegian-born citizens. This fund, however, does not include foreign-born residents who leave Norway for a period of time to complete an education, and later return to Norway.

Education statistics are registerbased and sampling errors do not apply in theory. In reality, some pupils or students may be left out of the statistics as Statistics Norway may not receive responses from all known institutions, or not being aware of new institutions. Additionally, an institution may accidentally leave out an entire class without Statistics Norway identifying the error in their control processes.

Revision

Errors may occur in the administrative system of educational institutions, in particular with self-reported information from the student or erroneous reporting from the data provider. However, a number of these non-sampling errors will be identified as part of control and revision routines performed by Statistics Norway.

Also, see general principles for revisions in Statistics Norway.