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statistikk
2020-03-11T08:00:00.000Z
Population
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dode, Deaths, life expectancy, life expectancy remaining, mortality, death rates, infant mortalityBirths and deaths, Population
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Deaths

Weekly figures will be published every tuesday. See StatBank table 07995

Monthly figures was published May 19th and will be updated first Tuesday after 15th every month. See StatBank tables 12982 and 12983.

Updated

Next update

Not yet determined

Key figures

81.19

years is the expectancy for men

Deaths
Year
1989199920092019
Deaths, total
Females21 56922 74421 53720 705
Males23 60422 42619 91219 979
Deaths under 1 year of age
Girls199977345
Boys26413511969
Life expectancy at birth
Females79.8581.1383.0584.68
Males73.3475.6278.6081.19

See selected tables from this statistics

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
201940 68419 97920 70511469457.67.47.82.12.41.7

Table 2 
Age-specific death rates for males and females

Age-specific death rates for males and females
2019
Deaths per 100 000 mean population
MalesFemales
0-4 years5839
5-9 years95
10-14 years810
15-19 years3615
20-24 years6130
25-29 years6321
30-34 years6035
35-39 years8437
40-44 years11358
45-49 years150106
50-54 years252181
55-59 years433279
60-64 years742477
65-69 years1 170765
70-74 years1 9821 395
75-79 years3 3992 393
80-84 years6 2624 584
85-89 years12 1368 800
90 years or older24 86821 226

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
201981.1980.3976.4471.4761.6151.9642.3032.7823.7315.558.65
Females
201984.6883.8379.8674.8764.9655.1145.3035.6226.3217.6410.16

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)
20192.33.20.50.91.30.82.1

Table 5 
Life tables

Life tables
2019
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 00020724316882.9681.1984.682.0702.4321.685
1 year99 79399 75799 83219241582.1380.3983.830.1940.2390.145
2 years99 77499 73399 8171216781.1479.4182.840.1180.1640.070
3 years99 76299 71799 81076780.1578.4281.840.0660.0640.068
4 years99 75599 71099 80311131079.1677.4380.850.1150.1280.101
5 years99 74499 69799 793713078.1776.4479.860.0650.1280.000
6 years99 73799 68599 79353777.1775.4578.860.0480.0310.066
7 years99 73299 68299 787612076.1874.4577.860.0630.1230.000
8 years99 72699 66999 787501075.1873.4676.860.0460.0000.095
9 years99 72299 66999 7771115674.1872.4675.870.1060.1470.062
10 years99 71199 65599 77150973.1971.4774.870.0450.0000.093
11 years99 70799 65599 76266672.1970.4773.880.0620.0600.063
12 years99 70099 64999 75517181671.2069.4772.890.1710.1820.160
13 years99 68399 63199 73959070.2168.4971.900.0470.0920.000
14 years99 67999 62199 7391161669.2167.4970.900.1110.0620.162
15 years99 66899 61599 72319251368.2266.5069.910.1900.2480.130
16 years99 64999 59199 71019251367.2465.5168.920.1920.2510.131
17 years99 62999 56699 6971625766.2564.5367.930.1600.2490.066
18 years99 61499 54199 69137531965.2663.5566.930.3690.5370.191
19 years99 57799 48799 67237492564.2862.5865.940.3750.4910.250
20 years99 53999 43999 64757694463.3161.6164.960.5730.6970.439
21 years99 48299 36999 60325321962.3460.6563.990.2540.3190.186
22 years99 45799 33899 58449534561.3659.6763.000.4960.5360.453
23 years99 40899 28499 53939631260.3958.7062.030.3880.6390.119
24 years99 36999 22199 52757832959.4157.7461.040.5720.8320.296
25 years99 31299 13899 49838601458.4556.7960.050.3810.6050.145
26 years99 27499 07899 48341661457.4755.8259.060.4140.6710.142
27 years99 23399 01299 46945573356.4954.8658.070.4560.5750.330
28 years99 18898 95599 43742691355.5253.8957.090.4200.6960.133
29 years99 14698 88699 42345612954.5452.9356.100.4550.6150.291
30 years99 10198 82599 39441612153.5651.9655.110.4190.6180.213
31 years99 06098 76499 37349574052.5950.9954.120.4930.5780.406
32 years99 01198 70799 33351683351.6150.0253.150.5170.6930.333
33 years98 96098 63999 30048504550.6449.0652.160.4800.5080.452
34 years98 91298 58999 25548593749.6648.0851.190.4870.5960.371
35 years98 86498 53099 21851673448.6947.1150.210.5190.6810.347
36 years98 81398 46399 18459774047.7146.1449.220.6020.7860.406
37 years98 75398 38599 14366923746.7445.1848.240.6640.9350.377
38 years98 68898 29399 10662873545.7744.2247.260.6240.8840.350
39 years98 62698 20699 07166923844.8043.2646.280.6670.9360.381
40 years98 56098 11499 034811095043.8342.3045.300.8181.1130.504
41 years98 48098 00598 98465785142.8641.3444.320.6570.7950.512
42 years98 41597 92798 93382927141.8940.3843.340.8340.9380.723
43 years98 33397 83598 8621001415540.9339.4142.371.0131.4440.557
44 years98 23397 69498 806961325939.9738.4741.390.9801.3510.593
45 years98 13797 56298 74810910811039.0137.5240.421.1091.1071.111
46 years98 02897 45498 6381131596538.0536.5639.461.1571.6280.658
47 years97 91597 29598 57312815410137.0935.6238.491.3091.5841.021
48 years97 78797 14198 47313815312236.1434.6837.531.4101.5701.241
49 years97 64996 98998 35014015712235.1933.7336.571.4321.6161.238
50 years97 50996 83298 22916618814234.2432.7835.621.7001.9421.447
51 years97 34396 64498 08719521916933.3031.8534.672.0002.2671.720
52 years97 14896 42597 91821925018632.3630.9233.732.2532.5901.897
53 years96 93096 17597 73220824916331.4430.0032.792.1442.5871.673
54 years96 72295 92697 56927231322830.5029.0731.852.8123.2662.333
55 years96 45095 61397 34128132423629.5928.1730.922.9173.3892.422
56 years96 16895 28997 10532238525528.6727.2629.993.3504.0432.627
57 years95 84694 90496 85036243528527.7726.3729.073.7814.5842.942
58 years95 48494 46996 56533739827326.8725.4928.153.5344.2152.826
59 years95 14694 07196 29241251530225.9624.5927.234.3335.4783.141
60 years94 73493 55595 99042054229025.0723.7326.324.4295.7933.021
61 years94 31593 01395 70052361842424.1822.8625.405.5456.6444.425
62 years93 79292 39595 27659769649323.3222.0124.516.3637.5385.174
63 years93 19591 69994 78367879256022.4621.1823.637.2798.6375.913
64 years92 51690 90794 22363877150221.6220.3622.776.9018.4775.325
65 years91 87890 13693 72178393263120.7719.5321.898.52810.3456.728
66 years91 09489 20493 09177590663919.9418.7221.038.50310.1546.866
67 years90 32088 29892 45185299470319.1117.9120.179.43311.2587.604
68 years89 46887 30491 7498461 02965418.2917.1119.339.46011.7877.133
69 years88 62286 27591 0941 0931 27889917.4616.3118.4612.33014.8109.872
70 years87 52984 99790 1951 1211 31691616.6715.5517.6412.80815.48710.153
71 years86 40883 68189 2791 3251 5351 10615.8814.7816.8215.33518.33812.393
72 years85 08382 14688 1731 4151 5381 28815.1214.0516.0216.62618.72214.607
73 years83 66880 60886 8851 6041 7971 40814.3713.3115.2519.17222.29016.202
74 years82 06478 81285 4771 6421 8961 38413.6412.6014.4920.00624.05816.189
75 years80 42276 91584 0931 9342 2221 64312.9111.9013.7224.05428.88419.537
76 years78 48874 69482 4501 9372 1771 70012.2111.2412.9924.68429.14320.619
77 years76 55072 51780 7502 2022 4002 01411.5110.5612.2528.76933.09924.939
78 years74 34870 11778 7362 2252 5691 89910.839.9011.5529.92336.64324.122
79 years72 12367 54876 8372 6382 9082 39210.159.2610.8236.57943.05031.135
80 years69 48564 64074 4452 7042 9502 4889.528.6510.1638.91745.64133.414
81 years66 78161 68971 9573 0433 3482 7798.888.049.4945.56854.26738.626
82 years63 73858 34269 1783 1963 4203 0188.287.488.8550.14958.61643.622
83 years60 54254 92266 1603 7674 1603 4567.696.918.2362.22775.73552.234
84 years56 77450 76262 7043 9044 0153 8527.176.447.6668.76379.09161.438
85 years52 87046 74858 8523 9434 2693 7096.675.957.1374.57891.31563.024
86 years48 92742 47955 1434 1204 2434 0726.165.506.5784.19799.89073.853
87 years44 80838 23651 0704 3894 5094 3715.685.056.0697.961117.91985.595
88 years40 41833 72746 6994 6154 6054 7215.254.665.58114.178136.524101.086
89 years35 80429 12241 9784 2274 1124 4154.864.325.15118.071141.206105.178
90 years31 57625 01037 5634 4714 2554 7574.443.944.69141.604170.133126.646
91 years27 10520 75532 8064 4283 8794 9784.093.654.30163.364186.907151.732
92 years22 67716 87627 8284 0273 7064 3973.793.373.98177.570219.579157.993
93 years18 65013 17023 4323 6363 0164 2183.503.183.63194.977228.976180.012
94 years15 01410 15519 2143 2042 5423 8143.232.983.32213.390250.345198.490
95 years11 8107 61215 4002 7491 9243 4742.972.803.02232.757252.776225.610
96 years9 0615 68811 9262 4021 4933 1712.722.582.75265.044262.409265.906
97 years6 6604 1968 7542 0381 4022 6082.522.322.57306.011334.209297.881
98 years4 6222 7936 1471 3988741 8442.412.242.44302.488312.801300.000
99 years3 2241 9204 3031 0407031 3422.232.032.28322.707366.424311.999
100 years2 1831 2162 9608494081 1852.061.912.08389.038335.466400.271
101 years1 3348081 7754953886212.061.622.14370.896480.322349.824
102 years8394201 1543082034021.971.662.03366.797482.232348.561
103 years531217752156902011.831.731.84293.778413.354267.790
104 years375128551166502511.381.601.33443.325393.469455.196
105 years2097730088151401.081.311.03421.530189.842468.248
106 years12163160121631600.500.500.501 000.0001 000.0001 000.000

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