293150
/en/befolkning/statistikker/dode/aar
293150
Further increase in male life expectancy
statistikk
2017-03-09T08:00:00.000Z
Population
en
dode, Deaths, life expectancy, life expectancy remaining, mortality, death rates, infant mortalityBirths and deaths, Population
true
The statistics cover the number of deaths during a year. Death, death rates, infant mortality and expectation of life. Age group and sex.

Deaths

Updated

Next update

Not yet determined

Key figures

80.61

years is the life expectancy for men

Deaths
Year
19761986199620062016
Deaths, total
Females18 29120 09821 75421 62521 043
Males21 92523 46222 10619 62819 683
Deaths under 1 year of age
Girls2561841057457
Boys30522414111171
Life expectancy at birth
Females78,2179,7481,0782,6684.17
Males72,0272,8775,3778,1280.61

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
201640 72619 68321 04312871577.87.58.12.22.32.0

Table 2 
Age-specific death rates for males and females

Age-specific death rates for males and females
2016
Deaths per 100 000 mean population
MalesFemales
0-4 years5249
5-9 years44
10-14 years137
15-19 years3021
20-24 years4623
25-29 years6126
30-34 years8034
35-39 years9045
40-44 years11069
45-49 years178106
50-54 years295200
55-59 years469327
60-64 years792526
65-69 years1 330891
70-74 years2 0981 347
75-79 years3 5642 503
80-84 years6 8044 780
85-89 years12 8719 300
90 years or older25 41621 609

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
201680.6179.7975.8270.8360.9751.2741.6632.1823.2115.178.37
Females
201684.1783.3379.3774.3964.4854.6344.8335.1725.9517.439.94

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)
20163.14.20.51.11.60.62.2

Table 5 
Life tables

Life tables
2016
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 00021623219882.4280.6184.172.1582.3231.983
1 year99 78499 76899 80218132481.5979.7983.330.1830.1300.240
2 years99 76699 75599 7781362080.6178.8082.350.1320.0650.203
3 years99 75399 74899 75853779.6277.8181.370.0490.0320.066
4 years99 74899 74599 75159078.6276.8180.370.0480.0930.000
5 years99 74399 73699 75156377.6375.8279.370.0470.0610.032
6 years99 73899 73099 74853676.6374.8278.380.0460.0300.063
7 years99 73499 72799 74189675.6373.8277.380.0770.0890.063
8 years99 72699 71899 73500074.6472.8376.390.0000.0000.000
9 years99 72699 71899 73520373.6471.8375.390.0160.0000.032
10 years99 72599 71899 73266772.6470.8374.390.0640.0620.065
11 years99 71899 71299 72530771.6469.8473.390.0320.0000.066
12 years99 71599 71299 7191016370.6568.8472.400.0970.1580.033
13 years99 70599 69699 7161319769.6567.8571.400.1310.1920.067
14 years99 69299 67799 70916221068.6666.8670.410.1630.2240.100
15 years99 67699 65599 69919122667.6765.8769.410.1900.1230.260
16 years99 65799 64299 67320241666.6964.8868.430.2000.2390.159
17 years99 63799 61999 65720182265.7063.9067.440.2000.1780.223
18 years99 61799 60199 63539591964.7162.9166.460.3960.5900.189
19 years99 57899 54299 61630372263.7461.9565.470.2990.3750.217
20 years99 54899 50599 59544434662.7660.9764.480.4440.4290.461
21 years99 50499 46299 5492437961.7860.0063.510.2370.3720.092
22 years99 48099 42599 54034481860.8059.0262.520.3380.4850.182
23 years99 44799 37799 52139562159.8258.0561.530.3900.5600.209
24 years99 40899 32199 50132432058.8457.0860.540.3240.4380.203
25 years99 37699 27899 48035511957.8656.1059.550.3560.5110.196
26 years99 34099 22799 46148663056.8855.1358.570.4870.6650.303
27 years99 29299 16199 43154773055.9154.1757.580.5420.7730.303
28 years99 23899 08499 40135432854.9453.2156.600.3570.4340.278
29 years99 20399 04199 37344652353.9652.2355.620.4460.6560.227
30 years99 15898 97699 35047682652.9851.2754.630.4770.6830.259
31 years99 11198 90999 32558744052.0150.3053.640.5810.7460.406
32 years99 05498 83599 28465874151.0449.3452.660.6550.8830.412
33 years98 98998 74899 24367983550.0748.3851.690.6820.9870.353
34 years98 92198 65099 20849682949.1147.4350.700.5000.6940.295
35 years98 87298 58299 179741103548.1346.4649.720.7471.1150.356
36 years98 79898 47299 14474984747.1745.5148.740.7450.9970.475
37 years98 72498 37499 09751693346.2044.5647.760.5210.6990.330
38 years98 67398 30599 06467815145.2243.5946.770.6770.8250.518
39 years98 60698 22499 01373875744.2542.6245.800.7360.8830.579
40 years98 53498 13798 95559764143.2941.6644.830.6030.7790.415
41 years98 47498 06198 914891116542.3140.6943.840.9021.1350.656
42 years98 38597 94998 850991039441.3539.7442.871.0041.0540.952
43 years98 28797 84698 755931196540.3938.7841.910.9471.2140.662
44 years98 19497 72798 6901001277239.4337.8340.941.0231.3020.728
45 years98 09397 60098 6181131487538.4736.8739.971.1471.5150.758
46 years97 98197 45298 54312213410937.5135.9339.001.2461.3781.106
47 years97 85997 31898 43415619511436.5634.9838.041.5932.0081.155
48 years97 70397 12298 32115518612135.6234.0537.091.5831.9161.230
49 years97 54896 93698 20015420410134.6733.1136.131.5832.0991.033
50 years97 39496 73398 09818923014433.7332.1835.171.9422.3811.472
51 years97 20496 50397 95420120819432.7931.2634.222.0732.1571.983
52 years97 00396 29497 76025229320731.8630.3233.292.5943.0442.119
53 years96 75196 00197 55227434719630.9429.4132.352.8323.6192.006
54 years96 47795 65497 35729634823930.0328.5231.423.0643.6382.459
55 years96 18295 30697 11733236130029.1227.6230.503.4493.7933.090
56 years95 85094 94496 81729934225228.2226.7329.593.1173.6042.606
57 years95 55194 60296 56540248931127.3025.8228.664.2115.1643.217
58 years95 14994 11496 25442148036026.4224.9527.754.4295.0983.739
59 years94 72793 63495 89445054235425.5324.0826.864.7525.7933.689
60 years94 27793 09195 54151260541424.6523.2125.955.4286.5024.335
61 years93 76692 48695 12658571145523.7822.3625.076.2427.6844.780
62 years93 18091 77594 67259970848522.9321.5324.186.4247.7165.128
63 years92 58291 06794 18665877453722.0720.7023.317.1068.5035.703
64 years91 92490 29393 64971782960021.2319.8722.447.8039.1816.404
65 years91 20789 46493 04982299364220.3919.0521.589.01211.0966.898
66 years90 38588 47192 4088921 03274619.5718.2620.729.87111.6628.069
67 years89 49287 44091 6629611 15175918.7617.4719.8910.73313.1688.282
68 years88 53286 28890 9031 0311 20285217.9616.6919.0511.64613.9359.372
69 years87 50185 08690 0511 2121 3751 04317.1715.9218.2313.84716.15911.582
70 years86 28983 71189 0081 1701 37995616.4015.1717.4313.56416.47510.736
71 years85 11982 33288 0521 3401 5601 11515.6214.4216.6215.74518.95112.661
72 years83 77880 77186 9371 4401 7871 08414.8613.6915.8217.18722.12012.464
73 years82 33978 98585 8541 5631 8151 30914.1112.9915.0218.98322.98115.244
74 years80 77677 17084 5451 7241 9901 46313.3712.2814.2421.34125.78717.304
75 years79 05275 18083 0821 8032 1151 50112.6511.5913.4822.80728.13318.065
76 years77 24973 06581 5811 9882 3281 66211.9410.9112.7225.72931.86620.377
77 years75 26170 73679 9192 2222 5031 96211.2410.2611.9829.52235.37824.545
78 years73 03968 23477 9572 4622 5872 35510.579.6111.2733.70437.90930.214
79 years70 57865 64775 6022 6712 9332 4449.928.9710.6037.84844.67232.323
80 years67 90662 71573 1582 8233 0712 6199.298.379.9441.57248.97035.803
81 years65 08359 64370 5393 1173 4112 8838.677.789.2947.89557.19240.877
82 years61 96656 23267 6553 4163 8313 0778.087.228.6655.12468.12245.481
83 years58 55052 40264 5783 7193 9513 5557.526.718.0563.51875.40455.050
84 years54 83148 45061 0233 7834 1353 5357.006.217.4968.99885.34157.935
85 years51 04844 31657 4883 9254 1763 7736.485.756.9276.88894.23665.629
86 years47 12340 13953 7154 3474 5604 2405.985.296.3792.256113.61378.944
87 years42 77635 57949 4754 4324 5334 4355.544.915.88103.601127.41589.643
88 years38 34431 04645 0404 4844 3484 6915.124.555.41116.937140.067104.150
89 years33 86026 69740 3494 2923 9154 6974.734.214.98126.744146.636116.402
90 years29 56922 78235 6524 2493 7404 7584.343.854.57143.686164.175133.461
91 years25 32019 04230 8944 1173 5494 6823.993.514.20162.585186.357151.563
92 years21 20315 49426 2113 8703 4374 3523.673.193.86182.516221.821166.043
93 years17 33312 05721 8593 6112 8474 3253.372.963.52208.354236.142197.838
94 years13 7229 21017 5353 0232 3643 6493.132.723.27220.325256.665208.100
95 years10 6996 84613 8862 6402 0173 2232.872.493.00246.788294.627232.134
96 years8 0584 82910 6622 2771 5622 8862.652.322.75282.559323.403270.637
97 years5 7813 2677 7771 6541 1892 0532.502.192.59286.014363.901263.987
98 years4 1282 0785 7241 2936451 7972.302.162.34313.328310.471314.041
99 years2 8341 4333 9269795601 3142.121.912.18345.390390.872334.603
100 years1 8558732 6136533099191.981.822.02352.197354.188351.821
101 years1 2025641 6934732416551.791.541.84393.469427.053386.625
102 years7293231 0393381884551.621.311.69463.768582.539438.051
103 years391135584172682511.591.451.62441.119501.251430.719
104 years2186733290261381.451.401.46409.905381.217414.349
105 years129421955123701.100.951.14396.945550.671358.820
106 years781912578191250.500.500.501 000.0001 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-Trøndelag80.160.518.4
Nord-Trøndelag79.860.318.5
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-Trøndelag84.064.221.4
Nord-Trøndelag84.064.221.2
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