244881
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244881
One in four are cohabitants
statistikk
2015-11-26T08:00:00.000Z
Population
en
samboer, Cohabitants, cohabitation, share of cohabitants, share of married persons, share of single persons, live-in relationshipChildren, families and households, Population
true

Cohabitants

Updated

Next update

Not yet determined

Key figures

70 %

live in cohabitation

Proportion of cohabitants in different age groups. Per cent
1993-19951999-20012005-20072011-2013
20-24 years25223025
25-29 years35394039
30-34 years24303136
35-39 years15202429
40-44 years10162022
45-49 years8111621
50-54 years681015
55-59 years47810
60-69 years3467
70-79 years1224

See more tables on this subject

Table 1 
Proportion of cohabitants, married and single by age. Per cent. Males and females.

Proportion of cohabitants, married and single by age. Per cent. Males and females.
Cohabitation, sex, age199419951996199719981999200020012002200320042005200620072008200920102011201220132014
Cohabitant
Males
16-19 years000111212211113311122
20-24 years181617171717111427191825232421241918211822
25-29 years373835373839353637404337394037293341314036
30-34 years272830312932373333373129313730282836343734
35-39 years141523202223221927262725242628263128293133
40-44 years121010132115142115221724192319232219202422
45-49 years913811111213914181418171620211721242016
50-54 years888910117101114159121011151613161917
55-59 years7676596710712811101191112141217
60-69 years443456367567778576899
70-79 years202223312362344244675
Females
16-19 years652757664478475464215
20-24 years312934353332293135353236383736303234322930
25-29 years353339363742384139484045413944395141344549
30-34 years222423232728272631333532283034323338333834
35-39 years121611161818152022222722242524262529282731
40-44 years11121291315151616151719191820202026192520
45-49 years9699811121212141313141621201721182020
50-54 years775667961199812109151112141613
55-59 years14366647675848871179910
60-69 years312225245233465475594
70-79 years011111111223232233312
Married
Males
16-19 years....1............1......1..000000
20-24 years323331224423211322251
25-29 years221722151815171514181616151611192112161217
30-34 years484945404442363737363736454441434528303437
35-39 years683559595655535448494453495149504952474648
40-44 years757173686265645661546056585652556365635155
45-49 years787574737170687170676460646555565758575661
50-54 years827674747776767269677071716869666669675862
55-59 years778179798177727677757274737075737570687163
60-69 years807881777974817876797975757177777276747571
70-79 years777476737476697475797277787177807478747676
Females
16-19 years01010110010110..100000
20-24 years998778465846757576463
25-29 years354129293030312529242623273023272121282028
30-34 years605359565348534950434641484749425240424345
35-39 years686772666360655956585656585456545757505653
40-44 years706870766862646263646159605961625952665557
45-49 years737770737371726769635863616261565553616156
50-54 years747577696971727269706664647067606066615857
55-59 years717276707469757175746269677069616168647161
60-69 years666466707068686560647067646168656971656268
70-79 years424544464250424351534250474953564746555954
Single
Males
16-19 years10010099999999989998979999999897989999999898
20-24 years827980808287846976807275752977737980777777
25-29 years404543484446484848424147464552524546534747
30-34 years252325292726273029273235242029282736362929
35-39 years172117212223252725252922272423242119242320
40-44 years131916181719222323242320232129231516172423
45-49 years141218161718191917162322201925232721202323
50-54 years111518161213171819181520172220201917172321
55-59 years161315151415221714171618162014181418171721
60-69 years161816191620161518161518192215182118181619
70-79 years212522252421282523182221192519182218211719
Females
16-19 years949498929592939496959391969395959496989995
20-24 years596358586060676363586458555857656261656667
25-29 years302632353328313433293432323133342838393623
30-34 years192418222024202520241927242416261521262021
35-39 years201616181923202022201722172220201815221817
40-44 years182018151923212319212122212320182122162023
45-49 years181721181917162119232925252318242827201924
50-54 years191818262423192120212428242023252922252730
55-59 years282521242025212219203323292324322826272028
60-69 years323532282826303135342630323326312424292928
70-79 years585455545749575548465747514845425151434044

About the statistics

Percentage of cohabitants in the population aged 16-79 years.

Definitions

Definitions of the main concepts and variables

Person
This statistics sample is based on all persons between 16-79 years old who was resident in Norway.

Couple
Persons who lives in the same residence and is married to each other, registrated partners or cohabiting is counted as a couple.

Standard classifications

Not relevant.

Administrative information

Name and topic

Name: Cohabitants
Topic: Population

Responsible division

Division for Population Statistics

Regional level

National

Frequency and timeliness

Every third year

International reporting

Not relevant

Microdata

Files on individual level containing data that are processed and stored in the long term.

Background

Background and purpose

The statistic is based on surveys and place of usual residence for women and men age 16-79 years old. It shows proportions of cohabitants, married and singles in different age groups. The first figures are from 1977 for women and 1988 for men. Since 1993 it has been made annual figures.

Users and applications

The statistics have a wide spectrum of users and applications, including institutes involved in researching demographics and living conditions, public administration, the mass media and private persons.

Equal treatment of users

Not relevant

Coherence with other statistics

The statistics are based on surveys and whether a person is defined as a cohabitant or not depends on what answer the person himself gives on this question. In register based statistic one must be registered on the same legal residence address to be defined as cohabitants. Experience shows that statistics based on registers and legal residence address result in fewer cohabiting couples than statistics from surveys based on interviews and place of usual residence.

Families and households

Legal authority

Statistics Act, §§ 2-1, 2-2, 3-2

EEA reference

Not relevant

Production

Population

Statistics covers a sample of the Norwegian population in the age group 16 - 79 years.

Data sources and sampling

The Population register in combination with the travel survey.

The Travel survey is the source for these figures, and it is carried out among 8 000 Norwegians between 16 and 79 years of age, according to Statistics Norway's standard sample procedure.

Collection of data, editing and estimations

Interview (telephone)/CATI

A computer is used during the interview. The interviewer reads the questions aloud from the screen and the answers are registered instantly. This allows the data to be controlled immediately, and it reduces the risk of asking the interviewee wrong questions.

The proportion of cohabitants in an age group is estimated by the number of people in an age group who have answered that they are cohabitants compared to everyone who has answered the questions on relationship status in the same age group. The proportion who are married/not in a relationship are calculated in the same way.

The total number of cohabitants is estimated by multiplying the estimated proportion of cohabitants in an age group by the mean population in the same age group.

Seasonal adjustment

Not relevant

Confidentiality

Not relevant.

Comparability over time and space

From 2005 data from Statistics Norway's Travel survey has been used. Former sources have been NOS Fertility Survey 1977, Family and Occupation Survey 1988 and Omnibus Surveys 1993-2004. The formulation on the question has been the same in all surveys. It is expected that use of data from different surveys do not influence the comparability in the time series.

Accuracy and reliability

Sources of error and uncertainty

Collection errors, like when the interviewee gives incorrect information, or processing errors, like when the interviewer registers the answer incorrectly, are tried kept to a minimum by automatically controlling the answers during the interview. Nevertheless, there may still be some errors left. The number and kind of errors are not known.

The unit non-response is 30-35 per cent. Non-response errors are errors caused by unit non-response, i.e. that the unit (for instance an individual or a company) has failed to respond, or item non-response, i.e. that the unit has failed to respond to some but not all the questions in the survey.

Bias
Sampling bias may arise when the distribution of some variables in the sample is not the same as the corresponding distribution in the population. The results in this survey are based on the information provided by those responding. Non-response is mainly due to the interviewee not wanting to participate or that he/she was not reached by the interviewer. If the interviewee was not reached due to he/she being on holiday, the distribution of this variable among those interviewed and the non-respondents may differ and sampling bias may arise.

Variance
The holiday survey is carried out among a sample of Norwegians between 16 and 79 years of age. The uncertainty of findings based on only a part of the population, (sampling variance) depends among other factors on the number of observations in the sample and on the distribution of the current variable in the whole population. An estimate of this uncertainty (standard deviation) can be constructed by means of the observations in the sample. There is not made an exact calculation of the standard deviation for this survey. However, by using the figure underneath one can find the expected standard deviation for a survey like the holiday survey.

Figure 1. Expected standard deviation for observed percentages by different sample sizes.

Number of observations

5/95

10/90

15/85

20/80

25/75

30/70

35/65

40/60

50/50

25

5,4

7,5

8,9

10,0

10,8

11,5

11,9

12,2

12,5

50

3,8

5,2

6,2

7,0

7,6

8,0

8,3

8,6

8,7

100

2,7

3,7

4,4

4,9

5,3

5,6

5,9

6,0

6,2

200

1,9

2,6

3,1

3,5

3,8

4,0

4,1

4,3

4,3

300

1,5

2,1

2,5

2,8

3,1

3,2

3,4

3,5

3,5

500

1,2

1,6

2,0

2,2

2,4

2,5

2,6

2,7

2,7

1000

0,8

1,2

1,4

1,5

1,7

1,8

1,8

1,9

1,9

1200

0,8

1,1

1,3

1,4

1,5

1,6

1,7

1,7

1,8

1500

0,7

0,9

1,1

1,3

1,4

1,4

1,5

1,5

1,6

2000

0,6

0,8

1,0

1,1

1,2

1,3

1,3

1,3

1,4

Not relevant.

Revision

Not relevant

Contact

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