365254
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2018-12-21T08:00:00.000Z
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likekom, Indicators for gender equality in municipalities, gender equality index, men and women, indicators (for example kindergarten coverage, fathers with statutory paternity leave, women in the labour force), municipal rankingGender equality , Population
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Indicators for gender equality in municipalities

Updated

Next update

Key figures

29.5 %

proportion of men with higher education

Indicators for gender equality, source data for the whole country1
20162017
1From 2017 there is a break in the time series of the labour force indicator due to a new data source. See "about the statistics" for more information.
Share of 1-5 years olds in kindergarten (per cent)91.191.3
Share of men among municipal county members (per cent)61.061.0
Share of women among municipal county members (per cent)39.039.0
Share of men with higher education (per cent)29.129.5
Share of women with higher education (per cent)36.337.2
Share of men (20-66 years) in the work force (per cent)83.479.0
Share of women (20-66 years) in the work force (per cent)77.574.6
Average gross income, men (NOK)522 900533 900
Average gross income, women (NOK)359 000369 600
Share of employed men (20-66 years) working part-time (per cent)12.511.2
Share of employed women (20-66 years) working part-time (per cent)36.835.4
Share of fathers taking the full fathers quota or more (per cent)69.769.8
Level of gender balanced business structure (score)0.600.60
Share of men among employees (20-66 years) in public sector (per cent)29.929.9
Share of women among employees (20-66 years) in public sector (per cent)70.170.1
Share of men among employees (20-66 years) private sector (per cent)63.463.4
Share of women among employees (20-66 years) private sector (per cent)36.636.6
Share of men among leaders (20-66 years) (per cent)64.764.1
Share of women among leaders (20-66 years) (per cent)35.335.9
Level of gender balance in educational programs in upper secondary school (score0.680.67

See selected tables from this statistics

Table 1 
Score by indicator, the whole country

Score by indicator, the whole country1
20162017
1From 2017 there is a break in the time series of the labour force indicator due to a new data source. See "about the statistics" for more information.
Share of 1-5 years olds in kindergarten0.910.91
Gender distribution among municipality representatives0.780.78
The relationship between women and men with higher education0.800.79
Ratio between men and women in the work force0.930.94
Ratio between men and women's gross income0.690.69
Ratio between men and women's part time work0.340.32
Share of fathers taking the full fathers quota or more of parents money period0.700.70
Level of gender balanced business structure0.600.60
Gender balance in public sector0.600.60
Gender balance in private sector0.730.73
Gender distribution among leaders0.710.72
Level of gender balance in educational programs in upper secondary school0.680.67

Table 2 
Source data, counties

Source data, counties1
2017
Share of 1-5 years olds in kindergarten (per cent)Share of men among municipal county members (per cent)Share of women among municipal county members (per cent)Share of men with higher education (per cent)Share of women with higher education (per cent)Share of men (20-66 years) in the work force (per cent)Share of women (20-66 years) in the work force (per cent)Average gross income, men (NOK)Average gross income, women (NOK)Share of employed men (20-66 years) working part-time (per cent)Share of employed women (20-66 years) working part-time (per cent)Share of fathers taking the full fathers quota or more (per cent)Level of gender balanced business structure (score)Share of men among employees (20-66 years) in public sector (per cent)Share of women among employees (20-66 years) in public sector (per cent)Share of men among employees (20-66 years) private sector (per cent)Share of women among employees (20-66 years) private sector (per cent)Share of men among leaders (20-66 years) (per cent)Share of women among leaders (20-66 years) (per cent)Level of gender balance in educational programs in upper secondary school (score
1From 2017 there is a break in the time series of the labour force indicator due to a new data source. See "about the statistics" for more information.
Østfold89.662.137.922.529.375.569.5482 400341 00011.038.064.30.5829.071.064.335.765.934.10.67
Akershus92.655.644.435.140.781.777.0621 900414 6009.327.572.90.6531.168.961.039.064.335.70.72
Oslo88.261.039.047.852.478.675.2601 000421 10012.022.867.30.7435.664.457.742.359.940.10.75
Hedmark92.459.640.421.230.177.372.3459 200342 20013.242.567.50.5730.569.566.133.963.037.00.66
Oppland91.360.139.921.230.479.374.4468 000344 00012.943.170.30.5528.671.466.133.964.735.30.64
Buskerud90.759.041.026.633.080.074.6525 700361 50010.636.268.50.5927.772.363.436.665.934.10.67
Vestfold90.960.339.726.733.177.671.7513 700349 90011.239.266.80.5927.972.163.936.168.731.30.69
Telemark91.564.935.122.430.575.971.6484 300336 90012.143.665.60.5526.573.566.133.965.234.80.66
Aust-Agder90.964.435.625.132.674.069.9486 500333 70012.946.267.10.5628.771.365.434.666.034.00.66
Vest-Agder89.864.036.025.933.576.372.1506 100335 00012.745.769.30.5727.572.564.735.367.832.20.67
Rogaland89.862.837.228.036.580.575.6581 800370 5009.637.871.90.5725.075.064.235.867.132.90.65
Hordaland91.962.637.430.138.579.976.2538 700362 60011.637.471.70.5930.169.963.136.965.035.00.66
Sogn og Fjordane93.561.039.022.133.681.879.1492 600350 90011.240.475.00.5125.774.368.831.261.638.40.63
Møre og Romsdal92.461.938.123.032.780.675.7513 400345 0009.941.273.20.5225.474.667.132.965.734.30.65
Sør-Trøndelag (-2017)94.161.638.432.339.079.675.5513 800367 30011.936.474.00.6131.968.164.435.664.435.60.67
Nord-Trøndelag (-2017)93.456.543.520.932.279.974.9474 800342 40012.946.571.60.5327.972.167.232.863.236.80.64
Nordland93.360.539.521.730.778.074.4477 700354 50011.437.167.00.5530.769.367.332.760.539.50.64
Troms - Romsa94.463.236.826.937.479.075.6487 800369 90012.232.569.30.5833.966.167.232.861.238.80.66
Finnmark - Finnmárku90.460.439.620.434.776.574.4454 200365 20011.329.263.30.5832.567.568.531.561.238.80.63

Table 3 
Score per indicator, counties

Score per indicator, counties1
2017
Share of 1-5 years olds in kindergartenGender distribution among municipality representativesThe relationship between women and men with higher educationRatio between men and women in the work forceRatio between men and women's gross incomeRatio between men and women's part time workShare of fathers taking the full fathers quota or more of parents money periodLevel of gender balanced business structureGender balance in public sectorGender balance in private sectorGender distribution among leadersLevel of gender balance in educational programs in upper secondary school
1From 2017 there is a break in the time series of the labour force indicator due to a new data source. See "about the statistics" for more information.
Østfold0.900.760.770.920.710.290.640.580.580.710.680.67
Akershus0.930.890.860.940.670.340.730.650.620.780.710.72
Oslo0.880.780.910.960.700.530.670.740.710.850.800.75
Hedmark0.920.810.700.940.750.310.670.570.610.680.740.66
Oppland0.910.800.700.940.740.300.700.550.570.680.710.64
Buskerud0.910.820.810.930.690.290.690.590.550.730.680.67
Vestfold0.910.790.810.920.680.290.670.590.560.720.630.69
Telemark0.920.700.730.940.700.280.660.550.530.680.700.66
Aust-Agder0.910.710.770.950.690.280.670.560.570.690.680.66
Vest-Agder0.900.720.770.940.660.280.690.570.550.710.640.67
Rogaland0.900.740.770.940.640.260.720.570.500.720.660.65
Hordaland0.920.750.780.950.670.310.720.590.600.740.700.66
Sogn og Fjordane0.940.780.660.970.710.280.750.510.510.620.770.63
Møre og Romsdal0.920.760.700.940.670.240.730.520.510.660.690.65
Sør-Trøndelag (-2017)0.940.770.830.950.710.330.740.610.640.710.710.67
Nord-Trøndelag (-2017)0.930.870.650.940.720.280.720.530.560.660.740.64
Nordland0.930.790.710.950.740.310.670.550.610.650.790.64
Troms - Romsa0.940.740.720.960.760.380.690.580.680.660.780.66
Finnmark - Finnmárku0.900.790.590.970.800.390.630.580.650.630.780.63

About the statistics

The indicators for gender equality in Norwegian municipalities are a set of twelve indicators that are important and relevant for describing gender equality at a local and national level over time. The indicators are based on administrative register data available at municipal level.

Definitions

Definitions of the main concepts and variables

The labour force is the sum of persons in employment and unemployed. From 2017 the indicator  is calculated on the basis of a new data source. This means a break from previous years

Higher education is defined as a university or university college education at a lower or higher degree level.
Lower degree covers:
- everyone who has completed a university or university college education lasting up to four years up to 1997/98.
- everyone who has attained 120 study points or more in the university and university college system since 1998/99, but who have not completed a higher degree.

Higher degree covers:
- everyone who has completed a university or university college education of more than four years.
- everyone who has completed a research education regardless of duration.
For more information, see About the statistics, Level of education http://www.ssb.no/emner/04/01/utniv/

Income consists of all taxable income such as earned income, various pensions and capital income. It is important to be aware that a comparison of gross income between men and women can be problematic. More men enter the couples capital income on their tax return, although this is joint income. A comparison of average gross income between the sexes, particularly in small municipalities, can give a skewed profile if individuals in the municipality (usually men) have extremely high incomes. Where men more often enter capital income on their tax returns, this however can be an indication of who has control of the money.

Part time : Until 2014 defined as agreed working hours of less than 30 hours a week. From 2016 defined from what percentage of employment is reported from the employer, instead of working hours per week. This means the indicator before and after 2015 is not comparable.

Managers is the standard code for the occupational classification (a one-digit level is used here, 1. Managerial occupations)

Share of fathers taking statutory paternity leave: The basis for all men who become fathers in the relevant calendar year, regardless of whether they are entitled to parental leave in connection with childbirth.

Standard classifications

Not relevant

Administrative information

Name and topic

Name: Indicators for gender equality in municipalities
Topic: Population

Next release

Responsible division

Division for Income and social welfare statistics

Regional level

At country, county and municipality level

Frequency and timeliness

Annually; in December

International reporting

Not relevant

Microdata

Not relevant

Background

Background and purpose

Until 2008 the statistics was published as “the Equality Index for municipalities"  and from 2009-2010, “the Gender Equality index for Norwegian municipalities"(see under Production  for further information about the structure and method of the previous indices). As of 2012 a composite measure for gender equality will no longer be specified, but equality in the municipalities will be measured through a set of 12 indicators that are considered important and relavant to describe local gender equality. These are the same indicators as in the revisted index 2009-2010.

Equality between women and men can be illustrated in many ways and using different types of statistics. The indicators for gender equality in municipalities correspond to internationally used indicators of gender equality, but they are also adapted to Norwegian conditions. The indicators are based on available register statistics.The indicators provide measures of different aspects of gender equality. Some dimensions may be partially overlapping. The 12 indicators are placed in two groups along the following six dimensions.

1. Institutional and structural frameworks for local equality
1.1. Governmental facilitating of potential equality

Share of children aged 1-5 years in kindergarten
1.2. Structure of industry and educational patterns

Share of employees in gender-balanced industries (one-digit level) 
Ratio between men and women in the public sector
Ratio between men and women in the private sector 
Share of pupils in upper secondary school in a gender-balanced education programme

2. Men and women's local adaptations
2.1. Distribution of time, work/care

Ratio between the share of men and women in part-time employment
Share of fathers taking full statutory paternity leave or more (from parental leave in connection with childbirth)
Ratio between men and women’s share in the labour force
2.2. Distribution of individual resources/influence

Ratio between the share of men and women with higher education
Share of female managers
2.3. Distribution of political influence 

Share of women in the municipal council
2.4. Distribution of money

Ratio between men and women's average gross income

For each indicator, the municipalities are given a score from 0, which indicates maximum difference between the sexes, to 1, which indicates maximum equality.

For more information on the changes, see Notat 2009/65 (Norwegian only)

Users and applications

Users are government ministries, the mass media, researchers and municipalities.

Equal treatment of users

Not relevant

Coherence with other statistics

Not relevant

Legal authority

Not relevant

EEA reference

Not relevant

Production

Population

The observation unit is municipalities.

Data sources and sampling

The indicators that are based on official statistics.

The various indicators gender equality in the municipalities are based on the following data sources:

  1. Share of children aged 1-5 years in kindergarten. Source: KOSTRA. The figures are taken from table 12056 in StatBank.
  2. Share of women in the municipal council. Source: Municipal and county council elections. Table 14 (in 2007)
  3. Share of men and women with higher education, 16 years and over. Source: Education statistics, level of education. The figures for level of education are taken from table 06983 in StatBank. The number of persons aged 16 years and over is taken from the population statistics, table 03026 (as per 1 January in the year according to level of education).
  4. Share of men and women in the labour force, 20-66 years. Source: Labour force survey (LFS), broken down by municipality using figures for the registered unemployed and preliminary figures from the register-based employment statistics.
  5. Average annual gross income, men and women. Source: Tax statistics for persons. The figures are taken from table 03068 in StatBank.
  6. Share of men and women in part-time employment. Source: Register-based employment statistics. Special order from the Division for labour market statistics.
  7. Statutory paternity leave. Share of fathers taking full statutory paternity leave or more before the child is three years old. Source: FD-Trygd. Special order from the Division for social welfare statistics.
  8. Gender-balanced structure in industry. Source: Register-based employment statistics. Figures for men and women distributed by industry in the municipalities are taken from table 07984 in StatBank.
  9. Share of women in public administration. Source: Register-based employment statistics. Special order from the Division for labour market statistics.
  10. Share of women in the private sector. Source: Register-based employment statistics. Special order from the Division for labour market statistics.
  11. Share of female managers. Source: Register-based employment statistics. Special order from the Division for labour market statistics.
  12. Degree of gender balance in choice of education programme in upper secondary school. Source: Education statistics, upper secondary education. Special treatment from the Division for education statistics.

Not relevant

Collection of data, editing and estimations

All indicators are ranked from 0 to 1. The value 0 indicates minimal equality, and the value 1 indicates maximum equality.

  1. Kindergarten. Share of children aged 1-5 years in kindergarten (p) . We assume least equality where no children are in kindergarten (p = 0) and most equality if all children are in kindergarten (p = 1) . This indicator does not need scaling.
  2. Municipal council. Share of women in municipal council (p) . Equality is lowest when the share is 0 or 1, and highest when the share is equal to 0.5. This indicator is scaled to:

    likekom_formel_1

  3. Education . The ratio between the share of men and women with higher education:
    likekom_formel_2
    Equality is greatest if the two shares are equal, i.e.:  
    likekom_formel_3
    In order to ensure that the indicator is always between 0 and 1, it is scaled to:
    likekom_formel_4
  4. Labour force . The ratio between the share of men and women in the labour force. The same scaling as in point 3
  5. Income . The ratio between men and women's average gross income. The same scaling as in point 3.
  6. Part time . The ratio between the share of economically active women working part time and the share of economically active men working part time. The same scaling as in point 3.
  7. Paternity leave . Share of fathers in 2009 and 2010 taking full statutory paternity leave or more before the child is three years old (2009-2012 for those who became fathers in 2009, 2010-2013 for new fathers in 2008). Scaling is not required.
  8. Industry . Degree of gender-balanced structure of industry. Let n i be the number of economically active persons and p i the share of women in industry i . Thus, the degree of gender balance for this industry is defined as:  
    likekom_formel_5 

    The indicator is:
    likekom_formel_6 
    k is the number of industries in the municipality.
  9. Public administration . Share of women in the public sector. The same scaling as in point 2.
  10. Private sector . Share of women in the private sector. The same scaling as in point 2.
  11. Managerial occupations . Share of women in managerial occupations. The same scaling as in point 2.
  12. Education programme . The degree to which pupils choose a gender-balanced education in upper secondary school. The degree of gender balance for an education programme is calculated based on figures for the whole of Norway. Otherwise, the same method is used as in point 8.

Compilation of the index 2009-2010

The revised index for 2009-2010 included the same indicators as in the current set of indicators. In weighing a aggregate index measure, all the indicators were given equal weight, with the exception of three indicators. The indicators industry division, public and private sector all have to do with the structure of industry in the municipality. To avoid these indicators having a too great impact on the overall index, they were weighted down. Their total weight is equal to the weight of each of the other indicators, and the industry division indicator were weighted twice as much as the sector indicators. With equal emphasis on the nine other indicators the index was calculated as follows:

likekom_formel_7

Seasonal adjustment

Not relevant

Confidentiality

Not relevant

Comparability over time and space

 New Source for labour indicators from 2015

Register-based employment statistics, which are used to calculate the proportion of men and women (20-66 years) who work part-time, the proportion of men and women (20-66 years) in the labour force, gender-balanced business structure, proportion of men and women (20 -66 years) in the private sector and the proportion of men and women (20-66 years) in the public sector is from 2015 based on a new data source. The main source until 2014 was NAV's Employee Register (Aa-register). In 2015, reporting to NAV to this registry was coordinated with reporting of payroll and personnel data to the Tax Administration and Statistics Norway (SSB). This common reporting system is called the a-scheme.

Using a new source for labour statistics implies a break for the indicator for men and women (20-66 years) who work part-time. Changes in what is reported from the employer, percentage of employment instead of working hours per week means that the figures before and after 2015 are not comparable.

As of 2017, also the indicator for the proportion of men and women in the workforce is calculated on the basis of register-based employment statistics (a-scheme) alone. This means a break from previous years. The proportion of women and men in the labour force is lower than previously. The reason for this is that before the Labour Force survey was used for weighing up the total number of employed persons in the register based statistics.