344604
/en/arbeid-og-lonn/statistikker/akutu/aar
344604
statistikk
2018-09-03T08:00:00.000Z
Labour market and earnings;Health
en
akutu, Disabled people, Labour force survey, labour market, labour force status, employees, unemployed, adaptationEmployment , Disability , Health, Labour market and earnings
true

Disabled people, Labour force survey

Updated

Next update

Not yet determined

Key figures

43.9 %

disabled people employed

Population aged 15-66, total, and persons with disabilities by labour force status. 1 000 and as per cent of all in each group
2nd quarter 2018Change in percentage points
1 000Per cent of all in each group2nd quarter 2017 - 2nd quarter 20182nd quarter 2013 - 2nd quarter 2018
Total3 576100.00.00.0
Persons with disabilities59916.8-0.20.2
Employed persons total2 64774.00.7-0.2
Employed persons with disabilities26343.90.91.2
Unemployed persons total1093.0-0.50.2
Unemployed persons with disabilities182.9-1.0-0.1

See more tables on this subject

Table 1 
Population aged 15-66, total, and persons with disabilities by labour force status and sex. 1 000

Population aged 15-66, total, and persons with disabilities by labour force status and sex. 1 000
2nd quarter 20132nd quarter 20142nd quarter 20152nd quarter 20162nd quarter 20172nd quarter 2018
Both sexes
Total3 4653 4893 5213 5423 5563 576
Persons with disabilities574539585636605599
As per cent of total population16.615.416.618.017.016.8
 
Employed persons total2 5702 6042 6152 5962 6062 647
As per cent of total population74.274.674.373.373.374.0
Employed persons with disabilities245232254282260263
As per cent of persons with disabilities42.743.143.444.343.043.9
 
Unemployed persons total9891122134123109
As per cent of total population2.82.63.53.83.53.0
Unemployed persons with disabilities171515252418
As per cent of persons with disabilities3.02.92.53.93.92.9
 
Men
Total1 7721 7901 8041 8171 8201 832
Persons with disabilities262247268291271270
As per cent of total population14.813.814.816.014.914.8
 
Employed persons total1 3531 3701 3731 3641 3641 396
As per cent of total population76.376.576.175.175.076.2
Employed persons with disabilities120106119140127124
As per cent of persons with disabilities45.642.844.448.147.146.0
 
Unemployed persons total595371877063
As per cent of total population3.33.03.94.83.93.4
Unemployed persons with disabilities11101018159
As per cent of persons with disabilities4.13.93.76.05.53.4
 
Women
Total1 6931 6991 7171 7251 7361 744
Persons with disabilities312292318345335329
As per cent of total population18.417.218.520.019.318.9
 
Employed persons total1 2171 2341 2411 2321 2421 251
As per cent of total population71.972.772.371.471.571.8
Employed persons with disabilities126127135142133139
As per cent of persons with disabilities40.243.442.641.139.742.2
 
Unemployed persons total403751475346
As per cent of total population2.32.23.02.73.02.6
Unemployed persons with disabilities665798
As per cent of persons with disabilities2.12.01.52.12.62.5

Table 2 
Employed persons in total 15-66 years, and employed persons with disabilities by age and sex. In percent of all persons in each group

Employed persons in total 15-66 years, and employed persons with disabilities by age and sex. In percent of all persons in each group
Employed persons, totalEmployed persons with disabilities
2nd quarter 20152nd quarter 20162nd quarter 20172nd quarter 20182nd quarter 20152nd quarter 20162nd quarter 20172nd quarter 2018
Both sexes
15-66 years74.373.373.374.043.444.343.043.9
15-24 years52.048.848.750.240.635.333.935.9
25-39 years81.981.581.582.752.956.452.353.2
40-54 years84.784.183.884.247.649.248.051.0
55-59 years78.779.979.478.643.947.544.242.9
60-66 years59.657.958.659.030.428.029.226.9
 
Males
15-66 years76.175.175.076.244.448.147.146.0
15-24 years49.847.747.949.545.740.139.343.0
25-39 years84.583.283.486.254.661.560.357.0
40-54 years87.085.885.685.647.851.248.248.6
55-59 years81.483.882.881.244.949.749.745.1
60-66 years64.363.162.164.129.933.234.031.7
 
Females
15-66 years72.371.471.571.842.641.139.742.2
15-24 years54.450.049.650.836.831.028.529.4
25-39 years79.179.779.579.151.451.545.749.8
40-54 years82.482.281.982.847.547.647.952.8
55-59 years75.975.975.975.943.145.839.641.2
60-66 years54.952.655.153.730.824.125.822.9

Table 3 
Part-time employment as a proportion of total employment among persons aged 15-66 in total and among persons with disabilities. Per cent

Part-time employment as a proportion of total employment among persons aged 15-66 in total and among persons with disabilities. Per cent
Share of part-time employed persons among employed persons, totalShare of part-time employed persons among employed persons with disabilities
2nd quarter 20152nd quarter 20162nd quarter 20172nd quarter 20182nd quarter 20152nd quarter 20162nd quarter 20172nd quarter 2018
Total23.924.623.823.645.543.140.741.3
Males13.314.313.913.329.925.227.625.1
Females35.536.034.635.259.360.853.355.9

Table 4 
Persons aged 15-66 with disabilities, total and in employment, by type of benefits received. 1000

Persons aged 15-66 with disabilities, total and in employment, by type of benefits received. 1000
2nd quarter 2018
Persons with disabilities in totalEmployed persons with disabilities
TotalMalesFemalesTotalMalesFemales
1Some people receive more than one benefit, and therefore the figures do not sum up to the total.
Total599270329263124139
Receiving no benefits2381261121779681
Receiving one or more benefits1359143216852857
Disability pension22787139401228
Basic benefit or attendance benefit918414
Work assessment allowance86365018710
Sickness benefit2181319712
Economic benefits from a private entity4131-1
Other benefits845212
Unspecified benefit status211211

Table 5 
Employees aged 15-66 with disabilities, by adaptations of their work, and whether the disability occurred before or after they started in their current job. 1000

Employees aged 15-66 with disabilities, by adaptations of their work, and whether the disability occurred before or after they started in their current job. 1000
2nd quarter 2018
TotalBefore job startAfter job startUnspecified
1Some persons have got adaptations at more than one field, and therefore the figures do not sum up to the number of employees.
Both sexes
Employees total242143945
No adaptation9258331
Have got one or more adaptations114584591
Changes of work tasks7746311
Changes of working time6234281
Physical adaptations of workplace9757401
Unspecified5112
 
Males
Employees total11166432
No adaptation4929201
Have got one or more adaptations16037231
Changes of work tasks3221111
Changes of working time19109-
Physical adaptations of workplace3924141
Unspecified211-
 
Females
Employees total13178503
No adaptation4329131
Have got one or more adaptations18548371
Changes of work tasks4525201
Changes of working time4324191
Physical adaptations of workplace583325-
Unspecified31-2

Table 6 
Employees with jobs which have been adapted to their disability, by need for more adaptation. 1 000

Employees with jobs which have been adapted to their disability, by need for more adaptation. 1 000
2nd quarter 2018
TotalMalesFemales
1Some persons need adaptations at more than one field, and therefore the figures do not sum up to the number of employees.
Total1456085
No need for more adaptation1134766
Need for more adaptation1301218
Changes of work tasks1459
Changes of working time835
Physical adaptations of workplace18810
Unspecified211

Table 7 
Employees with jobs which have not been adapted to their disability, by need for such adaptation. 1 000

Employees with jobs which have not been adapted to their disability, by need for such adaptation. 1 000
2nd quarter 2018
TotalMalesFemales
1Some persons need adaptations at more than one field, and therefore the figures do not sum up to the number of employees.
Total924944
No need for adaptation764036
Need for adaptation11698
Changes of work tasks1064
Changes of working time1055
Physical adaptations of workplace844
Unspecified---

Table 8 
Non-employed persons with disabilities aged 15-66, by desire for employment. 1 000 and per cent

Non-employed persons with disabilities aged 15-66, by desire for employment. 1 000 and per cent
2nd quarter 20132nd quarter 20142nd quarter 20152nd quarter 20162nd quarter 20172nd quarter 2018
Total324304325349336333
Wants employment868587859185
Does not want employment238219237265245247
 
Total (per cent)100100100100100100
Wants employment272827242726
Does not want employment737273767374

About the statistics

Based on yearly ad hoc modules to the Labour force survey on disabled people, we achive data on their situation at the labour market compared with the whole population. The statistics also give information on changes over time for this group.

Definitions

Definitions of the main concepts and variables

Concepts and definitions are in accordance with recommendations given by the International Labour Organization (ILO) and EU/Eurostat.

According to the international recommendations persons above a specified age should be classified by their attachment to the labour market in a specified, short period, either a day or a week. In the Norwegian LFS the reference period is one week, and the sample of persons are classified in relation to their situation in that reference week.

Employed persons are persons aged 15-74 who performed work for pay or profit for at least one hour in the reference week, or who were temporarily absent from work because of illness, holidays etc. Conscripts are classified as employed persons. Persons engaged by government measures to promote employment are also included if they receive wages.

Unemployed persons are persons who were not employed in the reference week, but who had been seeking work during the preceding four weeks, and were available for work in the reference week or within the next two weeks.

Persons in the labour force are either employed or unemployed. The remaining group of persons is labelled not in the labour force . Man-hours worked include all actual working hours, i.e. including overtime and excluding absence from work.

Contractual/usual working hours refer to the weekly number of working hours determined by the working contract. Absence from work because of illness, holidays etc. is not subtracted, and overtime is not included. Employees, whose contractual working hours vary from week to week, give information on both the actual reference week as well as the average of their contractual working hours per week (in the tables published the average numbers are normally used). For employees without contract on working hours, for self-employed and for unpaid family workers, data on their usual weekly working hours are used (as an average of their actual working hours during the last 4 weeks).

Full-time/part-time distinction is based on the contractual/usual working hours. Part-time: 1-36 hours, with exception of persons with 32-36 hours who classify themselves as full-time employed.

Full-time: 37 hours and over, and the cases mentioned above. For persons with more jobs, the working hours in the main and the second job are summarized.

Involuntary part-time employment comprises part-time employed persons seeking longer contractual/usual working hours by registering at the Employment Offices, advertising, contacting present employer etc., and who were able to start with increased working hours within a month.

Permanence of the job

The employees are asked whether they have a permanent job (a work contract of unlimited duration) or a temporary job (a work contract of limited duration). If the person has more than one job, only the main job is classified by permanence.

There is two kind of working arrangements/working hours outside ordinary daytime.

  • Shift work is usually understood as working time outside normally working hours, and what counts in the survey as shift work, is based on the evaluation of the respondent. Up to 2006 it was distinguished between regular and not regular shift work, and figures only on regular shift work were published. As from 2006 onwards there is no longer such a distinction.
  • Working hour arrangements , not shift work . Work at evening is defined as working hours between 6-10 PM, working at night between 10 PM and 6 AM. Working hours outside ordinary daytime is divided into regular pattern and not regular.

Working hour arrangements outside ordinary daytime is based on the contract for the employees, and on usual working time pattern for the self-employed. Up to 2006 these questions were included in the survey only during the 2nd quarter each year. As from 2006 onwards they are included each quarter, but only for one quarter of the sample.

Course participation refers to job related courses which the respondent was paid to attend. Only courses received during a period of four weeks are included. Up to 2006 these questions were asked only during the 2nd quarter each year. As from 2006 onwards they are included each quarter to the whole sample.

As from 2006 the definition of age was changed from completed years at the end of the year to completed years at the time of the reference week.

The persons are classified by marital status as unmarried, married and previously married according to information given by the respondents. Previously married includes widows, widowers, separated and divorced persons. In the tables married women include cohabitants.

Standard classifications

The industrial classification is in accordance with the Standard Industrial Classification (NOS D 383), which is based on the EU-standard of NACE Rev. 2.

The occupational classification is in accordance with Standard Classification of Occupations (NOS C521), which is based on ISCO 88 (COM).

The educational classification is in accordance with the Norwegian Standard Classification of Education (NOS C617).

Administrative information

Name and topic

Name: Disabled people, Labour force survey
Topic: Labour market and earnings

Responsible division

Division for Labour Market and Wage Statistics

Regional level

The whole country.

Frequency and timeliness

Annual, based on additional questions (ad hoc modules) to the Labour Force Survey (LFS) in the 2nd quarter.

International reporting

Not relevant.

Microdata

The basic material (survey results from the interviewers) as well as the statistical files (on the basis of revision and estimation procedures) are stored.

Background

Background and purpose

The purpose of the ad hoc module to the LFS on disabled people is to achieve data on their situation at the labour market compared with the whole population. The ad hoc modules have been carried out yearly since 2002.

The main purpose of the LFS is to provide data on employment and unemployment, and data on the labour force participation in different sections of the population. The Norwegian LFS started in 1972. For information about the history of the survey, and about breaks in the time-series, please cf. Labour Force Survey 2001 (NOS C748).

In the following the LFS in general will also be described, as the LFS is the basis for the ad hoc modules on disabled people.

Users and applications

The surveys give information to the Labour Market Authorities and other users about the situation on the labour market especially for disabled people. Since 2001 there has been a Cooperation Agreement beteen the authorities and the employer/employee organizations regarding a more inclusive working life.

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 08.00 am. Prior to this, a minimum of three months' advance notice is given inthe Statistics Release Calendar. This is one of Statistics Norway’s key principles for ensuring that all users are treated equally.

Coherence with other statistics

The results from the LFS are used in the National Accounts Statistics.

For statistics at regional levels (counties and municipalities), the Registerbased Employment Statistics are recommended. These statistics also give figures on employees who are immigrants.

Statistics on unemployed persons at the Employment Offices and government measures to promote employment are compiled by NAV on the basis of registers of unemployed persons and applicants for work.

The figures on unemployment based on the LFS differ from the figures on unemployed persons registered at the Employment Offices. The LFS-figures also include unemployed persons not registered at the Employment Offices, some of the participants in government measures to promote employment and some of the disabled persons. On the other hand, some of the registered unemployed are not classified as unemployed in the LFS, on the basis of the information given on seeking and availability for work.As from 2006 persons on lay-off (until 3 months) are no longer classified as unemployed, but as employed persons (temporarily absent from work) in the LFS, while they still are classified as unemployed in the registerbased statistics. However, if the period of lay-off exceeds 3 months, they are classified as unemployed in the LFS as well.

The Surveys of Level of Living (by Statistics Norway) give information on physical working environment as well as organizational working conditions. 

Legal authority

The Statistics Act §§ 2-2 and 2-3.

EEA reference

Council Regulation (EC) nos 577/98, 1991/2002 and 2257/2003, and Commission Regulation nos 1575/2000, 1897/2000, 2104/2002, 430/2005 and 377/2008.

Production

Population

The total population aged 15-74 is covered by the LFS. Up to 2006 the group was 16-74, and age defined as completed years at the end of the year. As from 2006 age is defined as completed years at the time of the reference week. Observation unit: person. The ad hoc modules on disabled people are limited to the age group 15-66.

Data sources and sampling

The main source for the LFS is quarterly, representative sample surveys based on interview by telephone.

Inhabitants in all municipalities are randomly selected, on the basis of a register of family units. The sample consists of about 12 000 family units (24 000 persons) each quarter. Each family member aged 15-74 participates in the survey, answering questions about their situation during a specified reference week. As from 1996 each family participates in the survey 8 times during a period of 8 quarters (before 1996: 4 times during 6 quarters).

Collection of data, editing and estimations

Interview by telephone. Information from previous interviews are used while asking about any changes in the situation, instead of the same, comprehensive data collection every time. For the coding of industry, information from some registers is also used. Demographic data are collected from the Central Population Register, and data on education are based on a register of individual data collected by Statistics Norway from the educational institutions (but questions are also asked to get more updated information).

The respondent is usually the same person as the observation unit (but proxy interviews are done if it is not possible to get in contact with the observation unit; 14-15 per cent of the interviews are done by asking near family members). Data are collected weekly, i.e. the LFS is a continuous survey (all weeks are covered). 

Participation in the survey is compulsory, but compulsory fines are not used.

As the data collection is made by use of computer-assisted interviews, some procedures for electronic control of the registration of answers are included in the questionnaire, for example concerning the number of working hours during the reference week. In some cases the interviewers become a "warning" by recording an answer, in other cases maximum or minimum values have been set beforehand.

The analysis unit is person. The absolute numbers from the LFS are presented in the form of estimated total for the entire population aged 15-74. The weights or inflation factors vary, but have an average of about 195 for quarterly figures in 2017.

 The estimation method uses more demographic data and register information relevant to the connection to the labour market in order to minimize standard errors and correct more for bias in the response sample in LFS since the nonresponse is not random. New method was launched in April 2018, is also used on LFS data back to 2006 to get the most comparable time series.

The estimation method in LFS is done in several stages, and are called multiple model calibration (MMK). Initially, the main labor market status of LFS, which is employed, unemployed, outside the workforce, are modeled consistent with a multinomial logit model, explained with a number of register variables known to all in the population. The register information are registered completely unemployed, on measures and persons with disabilities at NAV, register information on disability pensioners, education level, marital status, family size and immigrant category, country of origin, gender and age, residence, and information from the A scheme and the Tax Recovery Register. The model provides predictive probabilities every month for each main labor market status in LFS for everybody in the population.

The monthly weights in LFS are calibrated using these predicted probabilities and some register variables directly[1]. This means that the weights also become consistent with the population for the number in the population register by gender, different age groups and region, as well as consistent weights for the number of full / part-time wage earners by gender and registered employed (yes/no) cross classified by immigrants in 2 groups.

Multiple model calibration provides some variance reduction, utilizing more efficiently that we have available good help information about everyone in the population from various registries that Statistics Norway has linked.

The initial weights before calibration are the ratio of the number of people in the population to the gross sample per. county (NUTS3), and takes into account that people in different counties have different probabilities of being selected to LFS sample.

For more detailed technical information about the new estimation method, please see Documents 2018/16 [https://www.ssb.no/en/arbeid-og-lonn/artikler-og-publikasjoner/new-estimation-methodology-for-the-norwegian-labour-force-survey]

Week-proportional weighting of the months in quarterly averages

LFS have continuous data collection. In order for all reference weeks to weighted evenly in quarterly averages, we now make week-proportional adjustment of monthly weights in our quarterly averages. That is, the monthly weights are multiplied by 4/13 or 5/13 depending on whether the months in the LFS contain respectively 4 or 5 whole weeks. Weekly proportional weighting of quarterly average has been made on all quarterly figures in our StatBank back to 2006. Before that is the even adjustment off all monthly weights was used, i.e. multiplied by 1/3 for all months.



[1]That the weights are consistent for a register variable, such as gender, means that the sum of the weights in the responses in the LFS equals the number of the population for each category of the register variable, such as the number of men and the number of women in the population

 

Seasonal adjustment

Not relevant

Confidentiality

Not relevant

Comparability over time and space

New estimation method published in April 2018 uses more registers that will reduce nonresponse bias and sample uncertainty. This leads to a slightly lower level of employed and almost correspondingly higher levels for people outside the workforce than the previous method. The total number of unemployed changes only a little. To get the most comparable figures, the time series are revised back to 2006 in our StatBank. However, the adjustments vary slightly between groups and over time.

Breaks in the series up to 2001 are described in the publication Labour Force Survey 2001 (NOS C748).

The concepts in LFS are defined in accordance with international recommendations, cf item 4.1, to ensure comparability among the countries.

As from 2006 the LFS was revised, mainly to be in accordance with the EU-requirements based on new ILO recommendations. Some definitions and parts of the questionnaire were changed, and some new variables were added. As from 2006 age is defined as completed years at the time of the reference week, instead of completed years at the end of the year, as earlier. Moreover the lower age limit to be covered by the survey was lowered from 16 to 15, in accordance with the surveys in other countries.

These changes from 2006 led to breaks in the time-series for the LFS estimates. The revised survey gives some lower estimates for unemployment (1 000 persons as an annual average for 2006) and some higher estimates for employment (8 000 in 2006). A break in the time series also occured for the estimates of actual working hours per week and man-hours worked. For more information, please cf. http://www.ssb.no/aku_en/. Quarterly data for 2006 are published according to both the revised and the unrevised LFS, in order to improve the comparability for the figures between 2006 and 2005. The breaks in the time-series were most significant for figures divided by age groups.

Accuracy and reliability

Sources of error and uncertainty

In all surveys errors may occur in connection with both the collection and the processing of data. The use of proxy interviews (asking near family members instead of the observation unit) often increase the problems of measurement. As an average the employment is underestimated because of proxy interviews.

The size of the nonresponse as a percentage of the gross sample has varied widely since the LFS began in 1972. The 20 first years were generally around 10-12 percent. In the years 1992-1997 it was particularly low, only 6-8 percent. Subsequently, the nonresponse rate gradually increased to 21 per cent in 2013. After systematic work,  the nonresponse has been reduced to around 16 per cent in 2017.

 Correction for total non-response is done in the estimating procedure. Partial non-response is adjusted for some variables.

Variance

The estimates from the LFS are based on a sample of family units. Somewhat different results might have been obtained if a different sample or if a complete census had been taken using the same questionnaires, interviewers, processing, etc. as those actually used in the LFS. The uncertainty introduced by sampling is called the standard error of the estimates.

If the reader wants an indication of the size of the standard deviation for quarterly figures from the ad hoc modules to the LFS on disabled people, see the table below. Changes between two surveys will usually have the same absolute uncertainty as the two figures which are compared.

 

Size of standard error

Estimated value

Absolute figures

As per cent of estimated value

5 000

1 100

22,0

7 000

1 200

17,1

10 000

1 500

15,0

20 000

2 200

11,0

30 000

2 600

8,7

40 000

3 000

7,5

50 000

3 500

7,0

60 000

3 700

6,2

70 000

4 000

5,7

100 000

4 900

4,9

200 000

6 700

3,4

300 000

8 100

2,7

400 000

9 200

2,3

500 000

10 000

2,0

1 000 000

12 700

1,3

1 700 000

13 400

0,8

2 000 000

12 700

0,6

Revision

Not relevant