330427
/en/befolkning/statistikker/dode/aar
330427
statistikk
2018-03-12T08:00:00.000Z
Population
en
dode, Deaths, life expectancy, life expectancy remaining, mortality, death rates, infant mortalityBirths and deaths, Population
true

Deaths

Updated

Next update

Not yet determined

Key figures

80,91

years is the expectancy for men

Deaths
Year
1987199720072017
Deaths, total
Females20 95122 33321 73821 125
Males24 00822 26220 21619 649
Deaths under 1 year of age
Girls2021098363
Boys2511389767
Life expectancy at birth
Females79.5580.9782.6684.28
Males72.7575.4578.2480.91

See more tables on this subject

Table 1 
Deaths and death rates

Deaths and death rates
DeathsDeaths under 1 year of ageDeaths per 1 000 mean populationInfant mortality
Both sexesMalesFemalesBoth sexesMalesFemalesBoth sexesMalesFemalesBoth sexesMalesFemales
201740 77419 64921 12513067637.77.48.12.32.32.3

Table 2 
Age-specific death rates for males and females

Age-specific death rates for males and females
2017
Deaths per 100 000 mean population
MalesFemales
0-4 years5751
5-9 years57
10-14 years79
15-19 years3115
20-24 years6515
25-29 years5526
30-34 years6428
35-39 years7145
40-44 years9668
45-49 years155116
50-54 years270190
55-59 years468298
60-64 years740480
65-69 years1 276848
70-74 years1 9761 459
75-79 years3 5842 451
80-84 years6 8174 622
85-89 years12 5789 438
90 years or older25 26021 726

Table 3 
Life expectancy - remaining years for males and females at selected ages.

Life expectancy - remaining years for males and females at selected ages.
0 years1 year5 years10 years20 years30 years40 years50 years60 years70 years80 years
Males
201780.9180.0976.1571.1761.2951.6341.9432.4023.4015.278.39
Females
201784.2883.4779.5074.5364.6154.7344.9135.2726.0117.399.96

Table 4 
Perinatal and infant mortality

Perinatal and infant mortality
Late fetal deaths (deaths per 1 000 births)Perinatal mortality (deaths per 1 000 births)Under 24 hours (deaths per 1 000 live births)Under 1 week (deaths per 1 000 live births)Under 4 week (deaths per 1 000 live births)4 weeks - under 1 year (deaths per 1 000 live births)Under 1 year, total (Under 1 year, total)
20172.43.70.61.31.60.72.3

Table 5 
Life tables

Life tables
2017
Survivors (per 100 000) at age x, lxDeath at age x to x+1, dxLife expectancy - remaining years at age x, exProbability of death at age x (per 1 000) (Ungraduated), qx
Both sexesMalesFemalesBoth sexesMalesFemalesBoth sexesMalesFemalesBoth sexesMalesFemales
0 years100 000100 000100 00022422322482.6380.9184.282.2362.2352.239
1 year99 77699 77799 7761523781.8180.0983.470.1500.2260.069
2 years99 76199 75499 76916191480.8279.1182.470.1650.1930.136
3 years99 74599 73599 7561116779.8478.1381.480.1150.1610.067
4 years99 73399 71999 7491191378.8577.1480.490.1130.0950.132
5 years99 72299 70999 7361161677.8576.1579.500.1110.0620.163
6 years99 71199 70399 72089676.8675.1578.510.0780.0910.064
7 years99 70399 69499 71356375.8774.1677.520.0460.0590.031
8 years99 69999 68899 71030674.8773.1676.520.0300.0000.063
9 years99 69699 68899 70456373.8772.1675.530.0470.0600.032
10 years99 69199 68299 70159072.8871.1774.530.0470.0920.000
11 years99 68699 67399 70156371.8870.1773.530.0480.0620.032
12 years99 68299 66799 6971012770.8869.1872.530.0960.1250.065
13 years99 67299 65499 691801669.8968.1971.530.0800.0000.164
14 years99 66499 65499 6751592068.9067.1970.550.1460.0950.199
15 years99 65099 64599 65516221067.9166.1969.560.1620.2210.099
16 years99 63499 62399 64523301666.9265.2168.570.2340.3030.161
17 years99 61099 59399 62921182565.9364.2367.580.2130.1760.252
18 years99 58999 57599 60420261364.9563.2466.600.1980.2640.126
19 years99 56999 54999 59135551363.9662.2565.600.3480.5560.126
20 years99 53599 49499 57937601262.9861.2964.610.3700.6000.123
21 years99 49899 43499 56638561862.0160.3363.620.3810.5660.183
22 years99 46099 37899 54860981861.0359.3662.630.6010.9910.182
23 years99 40099 27999 53033481860.0758.4261.640.3340.4790.180
24 years99 36799 23199 5123763959.0957.4560.650.3700.6350.088
25 years99 33099 16899 50333402658.1156.4859.660.3320.4040.256
26 years99 29799 12899 47842582557.1355.5058.670.4180.5820.248
27 years99 25699 07199 45353782756.1554.5457.690.5340.7880.271
28 years99 20398 99399 42640601955.1853.5856.700.4010.6050.190
29 years99 16398 93399 40735353654.2052.6155.710.3530.3490.358
30 years99 12898 89899 37242463953.2251.6354.730.4280.4610.394
31 years99 08598 85399 33351831752.2450.6553.760.5150.8400.172
32 years99 03498 77099 31538571751.2749.6952.760.3800.5760.173
33 years98 99798 71399 29842463850.2948.7251.770.4250.4670.380
34 years98 95598 66799 26159862949.3147.7550.790.5940.8750.293
35 years98 89698 58099 23145414948.3446.7949.810.4560.4160.498
36 years98 85198 53999 18247682347.3645.8148.830.4720.6940.236
37 years98 80498 47199 15956763546.3844.8447.840.5710.7740.354
38 years98 74898 39599 12470855345.4143.8746.860.7070.8660.538
39 years98 67898 31099 07072816344.4442.9145.890.7340.8240.637
40 years98 60698 22999 00761843643.4741.9444.910.6170.8540.364
41 years98 54598 14598 97180827942.5040.9843.930.8160.8350.797
42 years98 46498 06398 89290958441.5340.0142.970.9150.9730.853
43 years98 37497 96798 808921038040.5739.0542.000.9361.0550.810
44 years98 28297 86498 728811065439.6138.0941.040.8261.0860.550
45 years98 20197 75898 674931008538.6437.1340.060.9441.0220.862
46 years98 10897 65898 58912414110737.6836.1739.091.2651.4391.082
47 years97 98497 51798 48213815711736.7235.2238.131.4041.6121.186
48 years97 84697 36098 36512714410835.7834.2837.181.2941.4771.100
49 years97 72097 21698 25718521415334.8233.3336.221.8902.2061.557
50 years97 53597 00298 10416421410933.8932.4035.271.6792.2101.115
51 years97 37196 78797 99421523419432.9431.4734.312.2052.4161.981
52 years97 15796 55397 80021026115532.0130.5533.382.1602.7051.582
53 years96 94796 29297 64624430018431.0829.6332.432.5143.1131.886
54 years96 70395 99297 46129529629430.1628.7231.493.0493.0843.012
55 years96 40895 69697 16828531824829.2527.8130.592.9513.3282.556
56 years96 12495 37896 91930434326328.3426.9029.663.1673.5982.717
57 years95 81995 03596 65639246331727.4225.9928.744.0934.8703.280
58 years95 42794 57296 33940750330526.5325.1227.844.2625.3193.164
59 years95 02094 06996 03445359530425.6524.2526.924.7706.3293.169
60 years94 56793 47495 73048256939124.7723.4026.015.0996.0914.089
61 years94 08592 90495 33950060639023.8922.5425.115.3166.5234.092
62 years93 58592 29894 94854662146823.0221.6924.215.8336.7264.934
63 years93 03991 67894 48066181750022.1520.8323.337.1028.9135.291
64 years92 37890 86093 98066679952921.3020.0122.457.2148.7995.630
65 years91 71290 06193 45175387262920.4519.1921.588.2139.6786.734
66 years90 95889 18992 8228861 04771719.6218.3720.729.73911.7387.720
67 years90 07388 14292 1059471 13974618.8117.5819.8810.51212.9208.100
68 years89 12687 00491 3591 0291 19785318.0016.8019.0311.55013.7619.339
69 years88 09685 80690 5061 1291 31993217.2116.0318.2112.82015.37210.295
70 years86 96784 48789 5741 1861 3261 04216.4215.2717.3913.64015.69911.633
71 years85 78183 16188 5321 3051 4641 14315.6414.5116.5915.21617.60212.916
72 years84 47681 69787 3891 4721 6901 25114.8813.7615.8017.42220.68014.310
73 years83 00480 00886 1381 6241 7981 44814.1313.0415.0219.56922.47016.816
74 years81 38078 21084 6901 6761 8151 53913.4012.3314.2720.59223.20218.172
75 years79 70476 39583 1511 8902 0751 71412.6811.6113.5323.71527.16120.612
76 years77 81474 32081 4371 9182 1121 73711.9710.9212.8024.64728.41921.325
77 years75 89672 20879 7002 2042 5181 91311.2610.2312.0729.04034.87524.007
78 years73 69269 69077 7872 5353 0132 09810.589.5811.3534.40643.23726.971
79 years71 15666 67775 6892 6133 0602 2089.948.9910.6636.71745.89529.171
80 years68 54463 61773 4812 9683 2872 6909.308.399.9643.29651.66936.603
81 years65 57660 33070 7913 2773 6492 9658.707.839.3249.97260.48541.886
82 years62 29956 68167 8263 2613 7162 8858.137.308.7152.34065.56042.534
83 years59 03852 96564 9413 4253 8723 0577.556.778.0758.01673.09947.081
84 years55 61349 09361 8843 9324 2043 7316.996.277.4470.69885.62960.292
85 years51 68144 88958 1534 0454 2453 9286.485.816.8978.26494.55967.540
86 years47 63740 64554 2254 3764 5184 3245.995.366.3591.855111.14779.739
87 years43 26136 12749 9014 4034 3454 5265.544.975.86101.788120.25790.705
88 years38 85831 78245 3754 3254 1914 5285.124.585.39111.308131.86899.797
89 years34 53227 59140 8474 6174 1835 0734.694.204.94133.708151.620124.185
90 years29 91523 40835 7744 4694 1844 8144.343.864.57149.397178.741134.558
91 years25 44619 22430 9604 1333 4564 7734.023.604.20162.442179.769154.157
92 years21 31215 76826 1883 9053 5124 3363.703.273.87183.244222.713165.570
93 years17 40712 25621 8523 4392 8064 0473.423.073.54197.537228.920185.220
94 years13 9699 45117 8043 1482 2963 9013.132.833.23225.354242.948219.076
95 years10 8217 15513 9042 8422 0513 5482.902.583.00262.671286.605255.161
96 years7 9785 10410 3562 1731 6732 6572.762.422.86272.354327.748256.590
97 years5 8053 4317 6991 6531 0852 1292.602.352.67284.816316.108276.564
98 years4 1522 3475 5701 2598251 6192.442.212.50303.136351.762290.653
99 years2 8931 5213 9519425801 2322.282.132.32325.560381.600311.861
100 years1 9519412 7196813749202.142.142.14348.840397.726338.335
101 years1 2715671 7995172427252.012.231.99406.725426.669402.986
102 years7543251 074245723692.052.511.99325.120221.199343.644
103 years509253705175912401.802.081.77343.229358.820340.168
104 years334162465129431871.481.971.42385.393264.859402.701
105 years2051192788301271.101.501.04404.5980.000455.940
106 years1221191511221191510.500.500.501 000.0001 000.0001 000.000

Table 6 
Life expectancy - remaining years for males and females at selected ages, by county

Life expectancy - remaining years for males and females at selected ages, by county
2011-2015
Expectation of lifetime, remaining years
0 years20 years65 years
Males
Østfold79.159.517.9
Akershus80.561.018.8
Oslo79.660.018.5
Hedmark78.959.318.1
Oppland79.359.718.0
Buskerud79.760.118.6
Vestfold79.359.718.3
Telemark79.159.418.1
Aust-Agder78.859.318.0
Vest-Agder79.760.218.4
Rogaland80.160.618.8
Hordaland80.060.418.8
Sogn og Fjordane80.360.618.8
Møre og Romsdal80.661.019.0
Sør-Trøndelag (-2017)80.160.518.4
Nord-Trøndelag (-2017)79.860.318.5
Nordland79.059.518.1
Troms - Romsa79.659.918.3
Finnmark - Finnmárku77.258.116.9
 
Females
Østfold82.863.120.6
Akershus84.364.621.7
Oslo83.864.121.4
Hedmark83.063.420.7
Oppland82.963.220.6
Buskerud83.663.921.1
Vestfold83.764.021.2
Telemark82.863.120.8
Aust-Agder83.363.621.1
Vest-Agder83.764.021.3
Rogaland84.064.321.5
Hordaland84.364.721.9
Sogn og Fjordane85.265.622.3
Møre og Romsdal84.765.021.9
Sør-Trøndelag (-2017)84.064.221.4
Nord-Trøndelag (-2017)84.064.221.2
Nordland83.363.721.1
Troms - Romsa83.964.221.1
Finnmark - Finnmárku82.363.120.3

About the statistics

The statistics cover the number of deaths during a calendar year. Death, death rates, infant mortality and expectation of life can be indications of the general health state of the population.

Definitions

Definitions of the main concepts and variables

Mortality rates
The frequency of deaths in the population. In most cases the rate is multiplied by 1 000 so that it can be interpreted as the number of deaths per 1 000 persons.

Infant mortality
Number of deaths per 1 000 live births among children under the age of one.

Probability of death
Probability of death for a man/woman at age x is the probability that he/she will die before he/she reaches the age of x + 1. Probability of death is estimated for each age level separately for men and women and is used inter alia to estimate life expectancy. Probability of death is not the same as age-specific mortality rates.

Life expectancy - remaining lifetime
Life expectancy or mean lifetime is the number of years a new-born can expect to live under current mortality conditions (period mortality). Life expectancy is estimated on the basis of the age-specific mortality probabilities in the period. Expectation of life is estimated for the various age levels.

Calculation method - life expectancy and mortality tables

The mortality table is based on the probability of dying between two age levels (number of years). The probability is indicated with the symbol

Formel 1

 in which x stands for age x years.

The point of departure is a selected cohort of 100 000 persons of the same sex (l 0 =100 000), in which survivors at age x are

Formel 2

The number of persons who die are estimated for each age level.

The mathematical formula is as follows:

Formel 3

in which

Formel 4

is the probability that a person aged x-1 will be alive one year later.

The number of deceased persons by their exact age x to x+1 year in the selected cohort are given as:

Formel 5

To calculate the expectation of life at age x we need the auxiliary aggregates contemporary survivors and total remaining lifetime.

The contemporary survivors of age x,

Formel 6

are the average number of persons of age x. If the deaths are assumed to fall evenly throughout the year, contemporary survivors are:

Formel 7

Total remaining lifetime at age x is the number of years contemporary survivor xers in the cohort have to live:

Formel 8

in which

Formel 9

is equal to the highest age.

Expectation of life at age x is equal to the total of remaining years of life at age x, divided by the number of survivors at age x.

Formel 10

Age in the published tables is age in number of years at the time of death.

Residence

Sex

Standard classifications

 

Administrative information

Name and topic

Name: Deaths
Topic: Population

Responsible division

Division for Population Statistics

Regional level

Municipality.

Frequency and timeliness

Annual final figures, quarterly preliminary figures.

International reporting

FN. Eurostat.

Microdata

Files at the individual level which are processed and stored long-term.

Background

Background and purpose

The statistics show the number of deaths over the course of one year. Mortality rates, infant mortality and life expectancy can indicate the general health of the population.

Statistics Norway has national figures dating back to 1735 and county figures from around 1950.

Users and applications

Public administration, politicians, the media, lawyers, the insurance industry and researchers who study demographics and living standards.

Equal treatment of users

Not relevant

Coherence with other statistics

Death statistics are included in the population accounts as one of the components for understanding the changes in the population.

From 1 January 2000 the same definition will mainly be used in the quarterly figures vis-à-vis the final statistics. The main difference is that in the final death statistics there is a two-month wait before the death reports are taken out, while in the quarterly figures there is only a one-month wait. From 1 January 2002 there is one-month wait before the death report are taken out, such as the quarterly figures.

Another source of death statistics is the cause of death register at the Division for Health Statistics.

The number of deaths in causes of death statistics does not completely coincide with the number of deaths in Statistics Norway’s population statistics. The difference used to be more extensive due to different routines regarding delayed reporting.

The differences in the number of deaths in recent years are due to the fact that population statistics are not including civilian death certificates received after the end of January the following year, while causes of deaths statistics includes medical death certificates received until just before publishing the results, for example for the 2010 statistics until the end of September 2011. On the other hand population statistics are including deaths that occurred in previous years, with a change in birth year and death year for the deceased so that age at death will be correct.

The different routines have, for the last twenty years, resulted in a yearly difference in the number of deaths by plus/minus 100 with a few exceptions. Please note that even for a statistical year with an equal number of deaths the two statistics can include a different group of (population of) deaths, for instance regarding age, gender and so on for approximately 200 persons. Nevertheless, over a time span of several statistical years the populations with be approximately identical.

Legal authority

Statistics Act §§ 2-1, 2-2, 3-2

EEA reference

Not relevant

Production

Population

The statistics cover only persons registered as living in Norway at the time of their death, without regard to whether the death took place in Norway or abroad.

The statistics for 1999 mainly cover deaths that actually occurred in 1999. Deaths from all previous years are counted in the 1999 figures if the report was made between 1 March 1999 and 29 February 2000, i.e. too late to be included in the 1998 or earlier annual statistics.

From 1985 to 1998 the statistics covered deaths that actually had happened during the year and in addition only deaths from the preceding year which were recorded too late to be included in the statistics.

From 2002 the statistics cover deaths from all previous years if the report was made between 1 March and 31 January 2003, i.e. too late to be included in the 2001 or earlier annual statistics.

Data sources and sampling

Death statistics are based on population register data. The figures from 1995 and later are based on the Central Population Register (DSF) at the Directorate of Taxes, while the figures for 1968-1994 are taken from its predecessor, the National Population Register (DSP). The register was built up from 1964 to 1966 on the basis of the 1960 census, at the same time as the 11-digit national identity number was introduced as identification. The Office of the National Registrar, which administrates the register, was transferred in 1991 from Statistics Norway to the Directorate of Taxes.

Since 1946 each municipality has had a local population registry that registers all residents in the municipality, pursuant to the Population Registration Act and its regulations. The population registries receive reports of births, deaths, marriages, divorces, migration etc. from various sources.

Deaths are reported by the probate court or sheriff to the population registry in the deceased person's municipality of residence. Reports of deaths abroad of persons who were residents of Norway are received via the Ministry of Foreign Affairs or the Norwegian Maritime Directorate.

Updating of the Central Population Register is done in part by the local population registries, which are connected to the DSF via terminals, and in part by the Directorate of Taxes. The basis of the statistics on changes in the population is electronic copies to Statistics Norway of all such register updates. The reports are also used to update a separate Statistics Norway population database kept for statistical purposes, which forms the basis for the statistics on the composition of the population.

Data on basic statistical units are taken from the address portion of the Ground Property, Address and Building Register (GAB) owned by the Norwegian Mapping Authority.

Not relevant.

Collection of data, editing and estimations

Not relevant.

In addition to checks made by the DSF, Statistics Norway performs checks for statistical purposes. For further details of the controls that are done, see 3.7.3. in the report:

Dokumentasjon av BESYS-befolkningsstatistikksystemet. Befolkningsendringer i 1998 og befolkningsbasen (BEBAS) 1. januar 2000. Anne Sofie Brørs, Kirsten Dybendal, Aslaug Hurlen Foss og Trude Jakobsen, Notat 2000/24 Statistics Norway. ISSN 0806-3745 (in Norwegian only)

The statistics counts deaths by sex, age, marital status and citizenship.

Seasonal adjustment

Not relevant

Confidentiality

If a table consists zero, one or two units and disclosing these units can lead to identification of individuals, the figure is rounded up or left empty.

Comparability over time and space

In 1999 the scope of which deaths are included was changed, leading to an 0.3 per cent increase in the number of deaths compared with the previous definition.

The method for calculating life expectancy was revised in 1998. The difference with the old method of calculation was a couple of hundredths.

Contact