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The Danish sustainability indicators

The Danish sustainability indicators are a supplement to the “Global Goals for Sustainable Development”. They are the result of the project Our Goals, which put the UN Global Goals in a Danish context. The Danish indicators show what the Danes find important when it comes to social, economic and resource-related sustainability in Denmark.

Read the completion report: Make Global Goals Our Goals

Statistics Denmark and the 2030-Panel have published 197 new Danish indicators to translate the 17 UN Global Goals into a Danish context. The indicators are based on input from more than 6,000 Danish companies, organisations, researchers and dedicated citizens. Read the report and see the Danes’ approach to sustainable development in Denmark.

For questions and other requests for the Our Goals project as well as the completion report, write to: Verdensmaal@dst.dk

 
Goal 1: No poverty
End poverty in all its forms everywhere
1.1.1
Homeless people

Homelessness in Denmark

Homelessness in Denmark
Region: Total  |  Unit: Number
Unit: Number
20152017201920222024
Total6 1386 6356 4315 7895 989

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Definition

The data shows the trend in the number of homeless people in Denmark.

Source: The Danish Center for Social Science Research (VIVE).

Last updated: 21-09-2024
1.2.1
Living below the absolute poverty line

Proportion living below the absolute poverty line

Proportion living below the absolute poverty line
Region: Total  |  Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Total3.63.84.13.73.52.92.63.03.23.0

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Definition

The data shows the development of absolute poverty. This is defined as people with equivalised disposable income and net wealth that are below 50 percent of the median income in 2015 adjusted for CPI. Furthermore households with a student as the main breadwinner is excluded.

Last updated: 12-12-2025
1.2.2
Material wants

Proportion of population with material wants

Proportion of the population with material wants
Unit: Per cent
Unit: Per cent
20152016201720182019202020212022202320242025
Cannot afford to replace worn clothes65066666988
Cannot afford to meet with friends or family40333333545
Cannot afford to participate regularly in leisure activities0777767810109
Cannot afford to go to the dentist when needed40445457878
Cannot afford to have a car08888777788
Unable to pay unexpected expense of 10,000 DKK270252523232020232120
Cannot afford one week annual holiday away from home014141211121313161514

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Definition

The data shows partly the proportion of the population (minimum 16 years) who stated that they could not afford: replace wornout clothing, meet with friends or Family, participate regurlarly in leisure activities or go to the dentist if needed, and partly the proportion of the population (regardless of age) whose household, for economic reasons, was not able to: do not have a car for private use, can not pay an unforeseen expense up to DKK 10,000, can not take at least one week's vacation annually.

Source: Statistics Denmark, table: SILC30.

Last updated: 29-01-2026
1.2.3
Persons in the low-income group

Proportion of persons in the low-income group

Proportion of persons in the low-income group
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
1 year7.78.38.88.78.68.78.48.18.07.8
2 year in a row4.74.95.45.75.65.65.55.25.05.0
3 year in a row3.13.33.53.84.04.03.93.73.63.4
4 year in a row2.12.32.42.52.83.02.92.82.72.6

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Definition

The data shows the development in the proportion of persons in all age groups who have been living below the relative poverty line defined by having an equivalent disposable income of less than 50 per cent of the median income in the year in question, one, two, three and four years in a row.

Source: Statistics Denmark, table: IFOR31.

Last updated: 12-12-2025
1.3.1
Social security benefits

Proportion of the working-age population on social security benefits

Proportion of the working-age population on social security benefits
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Total without Danish State Education Grant and Loan Scheme Authority21.420.820.219.519.520.620.520.020.020.2
Net unemployment, total2.82.52.52.42.43.22.51.71.92.1
Persons receiving holiday benefits0.10.10.10.10.10.10.10.10.10.1
Guidance and activities upgrading skills, total1.01.11.00.90.70.60.60.50.40.4
Subsidized employment, total2.72.82.82.82.92.72.83.03.13.2
Maternity benefits, etc. total1.31.31.41.41.41.41.41.41.30.0
Retirement, total8.47.87.36.96.97.17.68.08.18.3
Other social benefits, total5.15.25.15.05.15.55.45.35.04.8

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Definition

The data shows the development in the proportion of the population of working age (16-64 years) on public support (excluding the student allowance).

Source: Statistics Denmark: tabel: AUH01.

Last updated: 10-07-2025
1.3.2
Longterm social security benefits

Proportion of the population of working age on longterm social security benefits

. Proportion of the population of working age on long-term social security benef
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
26 weeks (½ year)1.241.071.161.060.941.550.840.580.690.66
52 weeks (1 year)0.620.510.520.520.440.660.490.220.260.27
104 weeks (2 years)0.180.130.110.120.110.140.140.070.030.04
156 weeks (3 years)0.070.060.050.040.040.040.040.020.010.01

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Definition

The data shows the trends in the proportion of the population of working age (16-64 years) on longterm social security benefits.

Source: Statistics Denmark, table: AULK09.

Last updated: 10-07-2025
1.4.1
Proportion of the net wealth

Proportion of the net wealth for population over the age of 18

The distribution of net wealth for the adult over the age of 18
Unit: DKK
Unit: DKK
2015201620172018201920202021202220232024
Average1 147 1611 189 7861 257 3771 273 3031 372 8961 468 2481 592 6191 506 1571 630 2301 770 467
Average for 10 per cent with lowest fortune- 378 238- 372 574- 351 427- 323 192- 305 323- 285 003- 299 508- 292 057- 254 570- 263 042
Average for 10 per cent with highest fortune6 061 2376 171 7556 463 9616 471 1286 872 3577 254 9957 810 7937 458 3038 135 4448 789 105
Decil limit for lowest fortune-10 318-5 306008556 2196 1014 7647 1729 352
Decil limit for highest fortune2 969 7013 071 0263 198 5503 231 9333 423 6813 586 5733 847 0593 635 2493 911 2974 274 973
The table has been revised on the 13th of December 2021. The tabel shows the 2014-definition of net wealth - which is without data on unlisted shares and defaulted public debts.

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Definition

The figures show how the wealth of people aged 18 and over has developed over time. The development is presented both as averages and as decile thresholds, which mark the boundaries between different wealth groups. All amounts are shown in current prices, i.e., without adjustment for inflation.

Source: Statistics Denmark.

Last updated: 27-11-2025
1.5.1
Members of an unemployment insurance fund

Proportion of the population (18-64 years) who are members of an unemployment insurance fund

Proportion of the population (16-64 years) who are members of an unemployment in
Region: Total  |  Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Total62.562.662.462.562.863.863.963.363.163.4

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Definition

The data shows the trend in proportion of the population (18-64 years) who are members of an unemployment insurance fund.

Source: Statistics Denmark, table: AUA01.

Last updated: 10-07-2025
Goal 2: Zero hunger
End hunger, achieve food security and improved nutrition and promote sustainable agriculture
2.2.1a
Underweight or overweight - sex

Proportion of the population that is underweight or overweight, by sex

Proportion of the population that is underweight or overweight
Unit: Per cent
Unit: Per cent
20132017202120232025
Men
Underweight1.31.31.4..1.4
Normal weight44.441.039.541.539.0
Moderately overweight40.040.640.540.440.9
Obese14.317.118.618.118.7
Women
Underweight4.03.53.3..3.4
Normal weight55.352.150.552.550.1
Moderately overweight26.727.827.928.328.4
Obese14.016.618.319.216.2

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Definition

The figures show weight categories by gender and are based on a survey representing a representative sample of the Danish population aged 16 and over. Due to a low number of respondents, no distinction is made between underweight and normal weight in 2023. The normal-weight category therefore represents the combined share of underweight and normal-weight individuals this year.

Source: University of Southern Denmark, Danskernes Sundhed – Den Nationale Sundhedsprofil.

Last updated: 13-03-2026
2.2.1b
Underweight or overweight - school children

Proportion of children in different weight categories, by school level

Proportion of children in different weight categories
Unit: Per cent
Unit: Per cent
20152016201720182019202020212022202320242025
Lower primary
Underweight2.52.52.62.72.72.42.11.72.22.32.2
Normal weight85.885.885.985.684.984.283.281.382.683.883.4
Moderately overweight9.49.39.09.19.610.310.912.511.110.310.6
Obese2.32.52.52.62.93.13.84.54.13.63.7
Upper primary
Underweight2.32.32.32.22.32.12.22.32.42.32.1
Normal weight80.179.779.479.277.976.675.576.276.576.475.5
Moderately overweight14.614.915.115.216.217.217.617.116.616.717.6
Obese3.03.13.23.33.64.14.84.44.54.64.9
Lower secondary
Underweight2.01.91.92.01.92.02.02.01.92.12.1
Normal weight79.879.779.178.779.378.978.377.978.879.279.6
Moderately overweight14.314.515.015.114.815.115.315.514.914.614.3
Obese3.93.94.04.24.14.04.44.54.44.24.0

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Definition

The data shows weight groups for schoolchildren by school stage. Since it varies when individual schools measure and weigh the children, the figures for a birth cohort are not calculated until the birth cohort has completed a full school stage (i.e. the first years of primary level, intermediate level and the final years of schooling). This is done to obtain a full birth cohort, and the statistics thus include the last full birth cohort. 

Source: The National Children’s Database and the Danish Health Data Authority.

Last updated: 13-03-2026
2.2.2
Dietary patterns

Dietary patterns, by sex

Dietary patterns
Unit: Per cent
Unit: Per cent
20132017202120232025
Men
Unhealthy dietary pattern18.620.322.321.922.5
Healthy dietary pattern65.565.766.068.266.5
Mixed dietary pattern15.914.011.710.011.0
Women
Unhealthy dietary pattern9.511.613.315.614.5
Healthy dietary pattern64.767.369.470.370.3
Mixed dietary pattern25.821.117.314.115.2

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Definition

The figures show dietary habits by gender, divided into the categories unhealthy dietary pattern, mixed dietary pattern, and healthy dietary pattern. The breakdown is estimated based on a survey of self-reported intake of four dietary factors: fruit, vegetables, fish, and fat. The data are based on responses from individuals over the age of 16.

Source: University of Southern Denmark, Danskernes Sundhed – Den Nationale Sundhedsprofil.

Last updated: 13-03-2026
2.2.3
Poor physical health

Proportion of the population with poor physical health, by sex and age

Proportion of the population with poor physical health
Unit: Per cent
Unit: Per cent
201320172021
Men
16-24 years1.22.01.6
25-34 years3.03.32.9
35-44 years4.75.54.8
45-54 years8.69.18.0
55-64 years12.214.713.2
65-74 years13.714.215.3
75 years and over27.027.126.1
Women
16-24 years2.33.12.4
25-34 years4.45.45.0
35-44 years7.89.08.1
45-54 years12.513.912.4
55-64 years15.917.216.5
65-74 years16.017.417.1
75 years and over38.037.333.9

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Definition

The data show the proportion of the population with poor physical health, broken down by gender and age. The categorisation is based on a series of survey questions using the SF-12, a generic measure of health status. The data cover individuals over the age of 16 and come from the Danish Health Authority. An update is expected in 2025 in connection with the publication of the National Health Profile 2024.

Source: Danish Health Authority.

Last updated: 21-03-2023
2.3.1
Profit rate in agriculture

Profit rate in agriculture

Key indicators for all farms (average)
Items: Return on assets, per cent  |  Quartile group: Average, total  |  Type of farm region standard output: All holdings  |  Unit: Avg.
Unit: Avg.
2015201620172018201920202021202220232024
All holdings1.00.92.20.72.63.02.84.83.23.3
There is a break in data between 2019 and 2020 as the treshold for participating farms is increased from 15,000 euro to 25,000 euro. .. indicates missing observation or the available information is not conclusive or not disclosable.

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Definition

The data show the development in the return on assets for both full-time and part-time farms. Return on assets measures how effectively the invested capital is converted into income and reflects factors such as productivity, prices, and costs.

Source: Statistics Denmark, table: JORD6.

Last updated: 01-10-2025
2.4.1
Agricultural sustainability

Trends in agricultural sustainability

Trends in agricultural sustainability
Unit: Index
Unit: Index
201520162017201820192020202120222023
Production10090100721021029310683
Greenhouse gases100103991019498102105..
Nitogen, fields10011210312197106999199
Nitogen, water1001051081091239710510194
Phosphorus, fields100851211848874832584
Phosphorus, water1007983668589676093
Pesticides100100107108110132124141143

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Definition

The data shows the trends in agricultural sustainability, illustrated by seven subcomponents. The indicator is calculated on

1) production per unit of area (production)

2) greenhouse gas emissions (Greenhouse gases)

3) excess nitrogen (nitrogen, fields)

4) the flow-normalised diffuse discharge of nitrogen to the sea from land (nitrogen, water)

5) (phosphorus, fields)

6) (phosphorus, water)

7) (pesticides).

The indicator is calculated as an index, 2015 = 100. 

Source: Statistics Denmark, NOVANA Report, Danish Environmental Protection Agency, Danish Centre for Environment and Energy and UN Environment and Development Convention.

Last updated: 29-08-2025
2.4.2
Animal welfare in agriculture

Proportion of registered pig and broiler hen producers, by the three levels of the animal welfare label

Proportion of registered pig and broiler hen producers, by the three levels of t
Unit: Per cent
Unit: Per cent
20172018201920202021202220242025
Level 1
Pig producers4.34.34.3......0.00.0
Broiler hen producers....35.740.663.365.165.569.7
Cattle herds........0.60.40.18.5
Dairy cattle........22.120.624.0..
Level 3
Pig producers18.116.118.721.322.117.022.919.3
Broiler hen producers....7.13.16.19.517.914.7
Cattle herds........95.897.094.355.2
Dairy cattle........60.134.026.5..
Level 3
Pig producers77.779.677.078.777.983.077.180.7
Broiler hen producers....57.156.330.625.416.715.6
Cattle herds........3.62.65.636.4
Dairy cattle........17.845.449.5..

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Definition

The data shows the proportion of registered participating producers who meet the "Dyrevelværdsmærkets" standards for animal welfare within pig and broiler hen production. Please note that only a small proportion of herds are registered under "Dyrevelværdsmærket". As of January 2026, a total of 143 pig herds, 113 broiler flocks, and 1,809 cattle herds were enrolled. Read more here.

There are three levels, with animal welfare requirements increasing at each level; read more here. It became possible for pig herds to register for the Animal Welfare Label from April 2017, for broiler chicken herds from October 2018, and for dairy and cattle herds from January 2020. In 2025, the cattle category includes both dairy and other cattle herds, and therefore the 2025 figures are not directly comparable with previous years.

Source: Ministry of Food, Agriculture and Fisheries.

Last updated: 06-02-2026
2.4.3
Antibiotics in agriculture

Consumption of antibiotics in agricultural production of pigs , cattle and poultry (active ingredients)

Consumption of antibiotics in agricultural production of pigs, cattle an (active
Unit: Tonne
Unit: Tonne
201620172018201920202021202220232024
Pigs76.473.574.071.774.472.471.672.973.4
Cattle10.710.210.310.110.19.48.28.08.3
Poultry......1.72.51.31.41.31.1

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Definition

The data shows the trends in the use of antibiotics in the agricultural production of pigs, cattle and poultry, measured in 1,000 kg of active ingredients. 

Source: The Ministry of Environment and Food of Denmark.

 
Last updated: 02-02-2026
2.5.1a
Exploitation of genetic resources - number

Requests and distributions of genetic resources from NordGen

Requests and distribution of genetic resources from NordGen
Unit: Number
Unit: Number
201520162017201820192020202120222023
Requests1 0501 116260228231207185175176
Dispensed1 0361 080242209213202185175175

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Definition

The data shows the development in the number of requests and distributions of genetic resources from NordGen. 

Source: NordGen.

Last updated: 17-10-2024
2.5.1b
Exploitation of genetic resources - per cent

Requests relative to distributions of genetic resources from NordGen

Requests relative to distributions of genetic resources from NordGen
Region: Total  |  Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Total98.796.893.191.792.297.6100.0100.099.4

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Definition

The data shows the development in the relationship between requests and distributions of genetic resources from NordGen. 

Source: NordGen.

Last updated: 17-10-2024
Goal 3: Good health and well-being
Ensure healthy lives and promote well-being for all at all ages
3.1.1
BMI among pregnant women

BMI among pregnant women at the beginning of pregnancy - Normal weight

BMI among pregnant women at the beginning of pregnancy
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
< 18,5 (Underweight)4.54.24.24.03.73.83.33.43.33.0
18,5-24,9 (Normal weight)60.158.857.357.357.356.956.955.755.655.6
25,0-29,9 (Moderately overweight)20.520.220.921.422.522.823.223.523.724.1
30,0-34,9 (Obese, class I)8.18.28.48.79.39.39.69.510.010.0
35,0-39,9 (Obese, class II)2.92.93.13.23.33.63.53.73.83.8
40,0+ (Obese, class III)1.41.41.71.81.81.81.92.01.91.8
Not stated2.64.14.33.62.01.81.62.21.61.7

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Definition

The data shows the spread in pregnant women’s BMI at the start of pregnancy classified into five interval.

Source: The Health Data Banks register on newborns per hospital.

Last updated: 23-03-2026
3.2.1
Birth weight

Birth weight for live-born babies

Birth weight for live-born babies
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Extremely low (< 1000 g)0.50.50.50.40.60.50.60.60.60.7
Very low (1000-1500 g)0.40.50.50.50.50.50.40.50.50.4
Low (1500-2500 g)4.14.14.04.03.83.83.83.93.93.8
Normal (2500-4500 g)90.490.690.891.292.291.991.992.292.292.4
High (> 4500 g)2.62.72.92.92.93.03.12.72.62.5
Not stated2.01.71.31.00.10.20.20.20.30.2

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Definition

The figures show the distribution of newborn children’s birth weight, measured immediately after birth, classified into five intervals, as well as a category with unknown birth weight. Source: Medical Birth Register (MBR), Danish Health Data Authority. The MBR is based on data reported to the National Patient Register as well as birth notifications submitted on paper forms, and it is still under development. There are methodological differences in the definition of the population and a number of other parameters; therefore, comparisons of data before and after 2019 should be made with caution. Due to disclosure control, all figures are rounded to the nearest 5.

The figures are taken from the Health Data Bank (Danish Health Data Authority).

Last updated: 03-02-2026
3.2.2
Pregnant women who are smokers

Proportion of pregnant women who are smokers

Proportion of pregnant women who are smokers
Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Mother does not smoke87.486.585.688.189.089.589.790.491.0
Mother stopped during pregnancy3.43.32.92.62.32.41.91.92.1
Mother smokes7.36.56.15.65.95.34.94.64.7
Not stated1.93.85.43.72.82.83.53.02.3

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Definition

The data shows the proportion of pregnant women who smoked, did not smoke and who stopped smoking during pregnancy.

Source: Danish Health Data Authority.

Last updated: 10-01-2025
3.3.1
Hospital-acquired infections

Number of hospital-acquired infections

Number of hospital-acquired infections
Unit: Number
Unit: Number
20162017201820192020202120222023
Bloodstream infections2 7853 0093 0012 8642 8932 9602 8232 629
Urinary tract infections15 69715 94015 96314 41214 19014 46014 10713 288
Other3 7193 7593 7273 4803 4663 3183 6813 685

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Definition

The data shows the development in the annual number of cases of bloodstream infections and urinary tract infections. The category "Other" includes C. difficile infections (COHA and HOHO), deep infections after planned total hip arthroplasty and deep infections after planned knee arthroplasty.

Source: Danish Health Data Authority.

Last updated: 16-01-2025
3.3.2
Influenza-related deaths

Proportion of influenza-related deaths

Proportion of influenza-related deaths
Region: Total  |  Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Total2.391.342.144.412.270.340.000.460.691.02

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Definition

The data shows the proportion of influenza-related deaths in Denmark out of all deaths in the flu season, which runs from week 40 to week 20 of the following year.

Source: Statens Serum Institut.

Last updated: 08-08-2025
3.4.1
Persons who use psychotropic drugs

Number of persons per 1,000 inhabitants who use psychotropic drugs

Number of persons per 1,000 inhabitants who use psychotropic drugs
Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Total
Age, total130128127125125125130134138144151
0-17 years2626262728293236404651
18-24 years71697173778395104113123135
25-44 years108106105105106108116123131141152
45-64 years162159157154151149152155158162168
65-79 years225220215209203199198198197197197
80 years and over373365357348339334330326320315312
Men
Age, total1011001009999100104107111116122
0-17 years3031313234353740444955
18-24 years58575962656977828892100
25-44 years88878787889197103109117126
45-64 years127125123121119117119121124127132
65-79 years172168165162158155156155157157158
80 years and over290285279273265263259257252251250
Women
Age, total158155154151150150156161165172180
0-17 years2021212122232731364247
18-24 years838184858996113127140155171
25-44 years128125124123123126135143152165178
45-64 years197194192187183182185189191196203
65-79 years274268262252245239237237234234233
80 years and over422413406396387381377373366360356

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Definition

The data shows the number of people per 1,000 inhabitants who use psychotropic drugs, by sex and age.

Source: Danish Health Data Authority.

Last updated: 30-03-2026
3.4.2
Days of absence

Number of days of absence per full-time employee per year, by age group and sex

Absence
Indicator of absence: Average no. of absence days per full-time employed  |  Cause of absence: Own sickness  |  Sector: All sectors  |  Unit: -
2015201620172018201920202021202220232024
Men
Under 20 years3.934.234.044.104.774.635.756.195.905.95
20-24 years6.446.626.596.966.506.767.859.047.938.06
25-29 years6.216.316.286.546.656.357.168.647.957.51
30-34 years5.976.096.136.366.576.136.978.638.157.58
35-39 years6.095.906.006.166.176.066.588.367.487.10
40-44 years6.005.915.976.095.935.906.487.957.176.73
45-49 years5.845.835.795.935.945.736.097.827.036.66
50-54 years6.246.016.006.395.936.196.428.187.196.83
55-59 years7.357.116.876.907.036.707.288.867.837.54
60 years and over7.447.297.338.087.587.698.289.739.138.43
Women
Under 20 years5.265.804.964.554.945.186.167.147.006.71
20-24 years9.369.128.318.809.318.9710.3311.9610.9010.33
25-29 years11.2411.3911.0011.4011.6311.9212.6114.0213.3613.00
30-34 years11.6611.4511.5511.5212.2712.4113.0114.3514.3513.95
35-39 years11.3610.9310.6410.9311.2811.2912.1214.2613.4512.89
40-44 years10.6010.5010.3410.5910.3810.5911.3413.2912.5111.83
45-49 years10.7210.129.9610.1510.2110.1510.9613.0112.0711.18
50-54 years10.9010.5510.5710.7310.6110.5211.3513.1412.2811.49
55-59 years11.4311.2211.0111.4511.3410.9811.7213.5913.1512.02
60 years and over10.8310.6611.1911.8811.9612.1813.0315.4914.3813.19
In connection with the update d. December 4, 2024, the periods 2022 and 2023 have been reloaded due to an error.

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Definition

The data shows the development in the average number of days of absence from work due to illness per full-time employee per year, by age group and sex.

Source Statistics Denmark, table: FRA024.

Last updated: 06-11-2025
3.4.3
Cancer patients who survive cancer

Proportion of cancer patients who survive cancer

Proportion of cancer patients who survive cancer
Unit: Per cent
Unit: Per cent
2008:20102011:20132014:20162017:20192020:2022
1-year survival7780848585
3-year survival6569747575
5-year survival6164697071
10-year survival5457596163

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Definition

The data shows the development in one, three, five and ten-year survival rates for all persons diagnosed with cancer, excluding basal cell carcinomas and other skin cancers other than malignant melanomas. Relative survival is the probability of surviving a cancer when adjusted for other causes of death. Relative survival is calculated as the ratio between the observed survival rate of cancer patients and their expected survival if they were not affected by cancer.

Source: Danish Health Data Authority.

Last updated: 17-01-2025
3.5.1
Consumation of illegal drugs

Proportion of 16-24-year-olds who tried one or more of the various illegal drugs within the past year

Proportion of 16-24-year-olds who tried one or more of the various illegal drugs
Unit: Per cent
Unit: Per cent
2013201720212023
Cannabis24.621.215.516.4
Amphetamines1.92.11.10.7
Cocaine2.65.32.93.7
Psilocybin mushrooms0.91.01.31.6
Ecstasy1.21.91.40.9
LSD0.50.80.20.6
Heroin0.10.50.10.0
Ketamine0.70.70.20.4
Other1.71.20.90.9

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Definition

The data shows the proportion of 16-24-year-olds who had consumed illegal drugs, where consumed means that the person had used one or more of the various illegal drugs within the past year.  

Source: Danish Health Data Authority.

Last updated: 07-02-2025
3.5.2
Treatment for substance abuse

Number of people who received treatment for substance abuse

Drug abuse treatment
Key figures: Persons in drug abuse treatment  |  Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Total14 76215 07417 21418 76919 18118 81719 29019 47320 38720 718
Men10 96711 18712 84414 11714 40713 99814 31114 38214 89415 093
Women3 7953 8874 3704 6524 7744 8194 9795 0915 4935 625
An individual cannot appear more than once in this table, which is why the number of persons in drug abuse treatment may differ from the figures presented in table SMDBV002. Data concerning individuals below 18 years are insufficient. However, an increasing number of municipalities are becoming aware that this group must be reported, and the trend in the number of persons under 18 years should therefore be interpreted accordingly. Due to the 2015 data not having undergone the same detailed quality control as from 2016 onwards, caution is recommended when interpreting trends from 2015. The statistics is only based on data from municipalities that have validated their data, and the statistics subsequently does not cover all 98 municipalities in the period 2015-2020, but all municipalities are included in 2021-2024. '..' indicates missing data due to non-approved data for the municipality or the data have been removed due to confidentiality.

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Definition

The data shows the trend in the number of people who received treatment for substance abuse, by sex.

Source: Statistics Denmark, table: SMDBV003.

Last updated: 13-06-2025
3.5.3
High-risk limit for alcohol intake

Proportion of the population that exceeds the Danish Health Authority's recommended high-risk limit for alcohol intake

Proportion of the population that exceeds the Danish Health Authority¿s recommen
Unit: Per cent
Unit: Per cent
20132017202120232025
Total21.118.015.715.914.4
Men29.926.223.022.520.7
Women12.510.18.89.78.4

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Definition

The data shows the trend in the proportion of the population over the age of 16 that exceeded the Danish Health Authority’s recommended high-risk limit for alcohol intake. The recommended high-risk limit for alcohol intake is 10 standard drinks per week.

Source: Danish Health Authority.

Last updated: 10-04-2026
3.6.1
Chriminal decisions

Number of criminal decisions, by nature of the offence

Decisions
Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Total
The Road Traffic Act, total113 065110 110105 220102 479110 562142 977136 283117 424115 349120 269123 980
Traffic accident, unspecified2854262815263236545033
Road traffic accident involving alcohol1 0129789068498769759641 0001 0201 0021 014
Drunken driving7 0076 2585 0307 0927 3537 3136 5266 8476 8166 9676 857
Vehicle defects3 1622 2962 5762 4083 2343 7574 0403 1372 9942 9152 792
Any other Road Traffic Act offences101 856100 52496 68292 10299 084130 906124 721106 404104 465109 335113 284
1 Imprisonment
The Road Traffic Act, total2 6522 6812 5321 9212 0242 1552 0162 1362 2832 6212 547
Traffic accident, unspecified00001000000
Road traffic accident involving alcohol310325277190224242249273299279263
Drunken driving1 6261 5181 2781 1001 2011 2991 2051 2001 2451 4771 398
Vehicle defects23413222022
Any other Road Traffic Act offences714835973630595612560661739863884
2 Fine
The Road Traffic Act, total109 058106 149100 42499 306106 912138 798132 109112 620110 419114 805119 085
Traffic accident, unspecified2653262712263036504632
Road traffic accident involving alcohol602573550568565602612582611641674
Drunken driving5 0334 3813 4875 5475 5305 3544 7634 7414 8314 8134 773
Vehicle defects3 1352 2692 5492 3873 2033 7153 9963 0992 9102 8372 760
Any other Road Traffic Act offences100 26298 87393 81290 77797 602129 101122 708104 162102 017106 468110 846
3 Withdrawal of charges
The Road Traffic Act, total157135146190206185212146177191174
Traffic accident, unspecified00000000000
Road traffic accident involving alcohol41141743632
Drunken driving2121137947393627283738
Vehicle defects12103110320
Any other Road Traffic Act offences131111131107155138171116140149134
4 No charges
The Road Traffic Act, total7857581 8267491 0461 2491 1901 5221 2771 2331 134
Traffic accident, unspecified11012020000
Road traffic accident involving alcohol786569788011182120806058
Drunken driving262282206287469537432771584496512
Vehicle defects1814181520262014261812
Any other Road Traffic Act offences4263961 533368475575654617587659552
5 Other decisions
The Road Traffic Act, total4133872923133745907561 0001 1931 4191 040
Traffic accident, unspecified10000000441
Road traffic accident involving alcohol1814996131722241917
Drunken driving655646791068490108128144136
Vehicle defects68455132122555618
Any other Road Traffic Act offences3233092332202574806288489821 196868
The number of convictions for Legislation on animals, hunting, etc. is too low in 2023. There are approximately 330 convictions missing. # # The provisions of the Danish Criminal Code regarding sexual offences went through essential amendments taking effect from 1 July 2013. The amendments resulted in e.g. more categories of sexual offences than previously being placed under the provisions about rape (section 216). See more in the documentation of statistics, in the chapter Comparability: http://www.dst.dk/declarations//3806026b-3f64-451f-9836-c7a442da922f

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Definition

The data shows the number of criminal decisions under the Danish Road Traffic Act, by the nature of the offence.

Source: Statistics Denmark, table: STRAF40.

Last updated: 08-04-2026
3.6.2
Road traffic accidents

Number of people killed or seriously injured in road traffic accidents, by means of transport

Injured and killed in road traffic accidents
Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Killed
Ordinary private car74969962878054686468
Taxi0002000001
Vehicle, total weight 0 - 3 500 kg signalling emergency call0001000000
Van, total weight 0 - 3 500 kg965139810664
Lorry, total weight over 3 500 kg2323222331
Bus0300000001
Motor cycle1926112127111216139
Moped with registration max. speed 45 km p.h.5212002230
Moped, other1468813737108
Bicycle26312728312825233024
Pedestrian27362030302319283229
Others2221043110
Seriously injured
Ordinary private car581613591602562545516570533429
Taxi4115342300
Vehicle, total weight 0 - 3 500 kg signalling emergency call0311132210
Van, total weight 0 - 3 500 kg30213125272631212818
Lorry, total weight over 3 500 kg814131414111112711
Bus514369239513
Motor cycle166181171176169193148155162140
Moped with registration max. speed 45 km p.h.36282316231910191715
Moped, other195154179147145154137128103132
Bicycle512497475580576521554524582524
Pedestrian232263258284286225213270233236
Others11710671312598
The statistics only include injuries reported by the police. In order to examine the socalled underreporting of figures Statistics Denmark has since 1996 conducted a study where data on persons treated by casualty wards have been included. The studies have shown that the total number of injuries is much higher than the number registered by the police. However, the coverage with respect to persons killed is almost 100 per cent. As from 2001 the results are published in the table MOERKE.

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Definition

The data shows the development in the number of people killed or seriously injured in traffic accidents, by means of transport. The data are based on cases reported to and thus registered by the police. Statistics Denmark notes that there may be some underreporting of accidents resulting in injuries.

Source: Statistics Denmark, table: UHELDK1.

Last updated: 19-06-2025
3.7.1
Incidence of sexually transmitted diseases

Incidence of sexually transmitted diseases among 15-24-year-olds, by type and sex

Incidence of sexually transmitted diseases among 15-24-year-olds
Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Total
HIV infection32221920111391411515
Gonorrhoea7629467919018289391 1111 5271 4161 0831 073
Syphilis5437454938427579626950
Chlamydia21 13623 19622 36822 77624 68524 19425 82729 32325 12518 613..
Men
HIV infection22161618911988511
Gonorrhoea348435371420422498541699656546584
Syphilis4126383629366460475239
Chlamydia7 3828 2988 0808 2119 2628 8939 80910 7999 3797 053..
Women
HIV infection96421206204
Gonorrhoea414511420481406441570828760537489
Syphilis1311713961119151711
Chlamydia13 75414 89814 28814 56515 42315 30116 01518 52215 74311 559..

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Definition

The figures show the development in the number of diagnosed sexually transmitted infections among young people aged 15-24, broken down by gender and type. The report includes sexually transmitted infections that are subject to mandatory individual notification. The data represent newly registered cases. An exception is the reporting of chlamydia prevalence, as figures for chlamydia are derived from a different source than the other sexually transmitted infections.

Source: Statens Serum Institut.

Last updated: 25-03-2026
3.7.2
Legal gender reassignment

Number of approved new civil registration numbers in relation to legal gender reassignment

Number of approved new civil registration numbers in relation to legal gender re
Region: Total  |  Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Total263162151186187280321370381390438

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Definition

The data shows the development in the number of approved applications for legal gender reassignment.

Source: Citizen Service Office (CPR).

Last updated: 25-03-2026
3.7.3
Women in Denmark at first birth giving

Average age of women in Denmark at first birth giving

Average age of women giving birth and new fathers
Age: Average age of first-time mothers  |  Unit: -
20152016201720182019202020212022202320242025
Average age of first-time mothers29.129.129.229.329.529.629.829.930.030.330.4

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Definition

The data shows the development in age at first birth giving for women in Denmark.

Source: Statistics Denmark, table: FOD11.

Last updated: 12-02-2026
3.7.4
Induced abortions

Number of induced abortions by age group

Number of induced abortions
Unit: Number
Unit: Number
2015201620172018201920202021202220232024
0-14 years35303030403035355035
15-19 years1 9451 6801 3751 3551 4801 2251 2251 3401 3451 320
20-24 years4 2603 8653 6703 6853 7453 4903 1553 2903 2903 145
25-29 years3 7003 4553 6303 8103 8653 8353 7003 8253 9503 745
30-34 years2 7252 6652 6552 8403 1053 2003 1903 4503 6203 695
35-39 years2 1651 9902 0752 0802 1202 0701 9952 2052 3702 455
40 years and over1 1101 0501 0151 0551 025985945930995915

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Definition

The data shows the development in the number of induced abortions (i.e., a pregnancy deliberately terminated by medical or surgical intervention - not a spontaneous miscarriage), broken down by 5-year age intervals.

Source: Danish Health Authority.

Last updated: 13-11-2025
3.8.1a
Boys that received a vaccine against HPV - number

Number of boys that received a vaccine against HPV and the number of boys in the relevant target group

Number of boys that received a vaccine against HPV, the number of boys in the re
Unit: Number
Unit: Number
2006200720082009201020112012
Vaccines given23 80625 36229 02727 59127 73825 81625 488
Number of boys37 52636 72336 94935 50335 13632 55132 310

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Definition

The figures show the number of boys who have received the final HPV vaccine per birth cohort, as well as the total number of boys in these cohorts. Only birth cohorts that have had the opportunity to complete the vaccination program are included in the data. 

Source Statens Serum Institut.

Last updated: 25-03-2026
3.8.1b
Boys that received a vaccine against HPV - per cent

The proportion of boys that received a vaccine against HPV

The proportion of boys that has received a vaccine against HPV
Region: Total  |  Unit: Per cent
Unit: Per cent
2006200720082009201020112012
Total63.069.079.078.079.079.079.0

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Definition

The data shows the proportion of boys in the relevant target group that received an HPV vaccine. Please note that the target group is defined as boys turn 12 on or after 1 July 2019.

Source: Statens Serum Institut.

Last updated: 25-03-2026
3.8.2
Number of people per 1,000 inhabitants who redeemed prescriptions for antibiotics

Number of people per 1,000 inhabitants who redeemed prescriptions for antibiotics

Number of filled antibiotic prescriptions per 1,000 inhabitants
Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Total270267253240232203205222240231211
Men224221208197190163166182201194196
Women316312298283273242245262279268246

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Definition

The figures show the development in the number of people per 1,000 inhabitants who redeemed prescriptions for antibiotics. The data cover the sale of medicines in the primary sector, i.e. sales to individuals, sales of medicines for use in medical practices, and for shared stocks at treatment institutions.

The figures are sourced from Medstat.dk (ATC code J01). Medstat.dk presents data on the sale of medicines in Denmark and is based on information reported to the Danish Register of Medicinal Product Statistics. Reporting of medicine sales is mandatory, and the data therefore cover all sales in Denmark. Data are reported by pharmacies and retail outlets selling medicinal products.

Source: Danish Health Data Authority.

Last updated: 26-03-2026
3.8.3
General practitioners

Number of general practitioners per 100,000 inhabitants

Number of general practitioners per 100,000 inhabitants
Unit: Per 100,000 persons
Unit: Per 100,000 persons
2015201620172018201920202021202220232024
All Denmark100.6100.5101.8101.9102.8102.5103.4105.2106.2110.8
Region Hovedstaden115.5115.9115.7117.9118.9119.1121.9124.0124.9130.3
Region Sjælland83.581.381.681.782.181.877.275.474.779.0
Region Syddanmark101.2102.0102.8102.3102.3101.4102.1105.2104.7108.1
Region Midtjylland100.2100.1104.3102.4103.8103.4105.6108.5110.5115.5
Region Nordjylland79.278.079.879.480.780.579.881.183.888.1

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Definition

The data shows the development in the number of general practitioners per 100,000 inhabitants, by region.

Source: Statistics Denmark.

Last updated: 09-03-2026
3.8.4
Life expectancy at birth

Life expectancy at birth, by sex

Life expectancy for new born babies
Unit: Years
Unit: Years
2014:20152015:20162016:20172017:20182018:20192019:20202020:20212021:20222022:20232023:20242024:2025
Total80.680.880.981.081.381.581.581.381.581.882.1
Men78.678.879.079.079.379.579.679.479.679.980.3
Women82.582.882.982.983.283.683.483.183.483.783.9

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Definition

The data show the development of life expectancy for 0-year-olds in Denmark, i.e., the average expected lifespan for newborns based on current living conditions.

Source: Statistics Denmark, table: HISB77.

Last updated: 12-02-2026
3.9.1
Occupational injuries due to poisoning

Number of reported occupational injuries due to poisoning, by age

Number of reported occupational injuries due to poisoning
Unit: Number
Unit: Number
2015201620172018201920202021202220232024
0-24 years8810151011030251010
25-49 years3640435340661952555565
50-99 years1527252325551051701530

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Definition

The data shows the development in the number of reported occupational accidents related to poisoning, broken down by age group. According to the Danish Working Environment Authority, COVID-19 cases are also registered as occupational accidents under the poisoning category, which may explain the increase observed between 2020 and 2022.

Source: Danish Working Environment Authority.

Last updated: 28-01-2025
3.9.2
Premature deaths due to air pollution

Number of premature deaths due to air pollution

Number of premature deaths due to air pollution
Region: Total  |  Unit: Number
Unit: Number
2017:20192018:20202019:20212020:20222021:20232022:2024
Total4 7004 4203 8903 5503 3503 600

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Definition

The figures originate from the national air quality monitoring program, with a specific focus on the harmful health effects of air pollution. While the monitoring program covers all of Denmark, there is a particular emphasis on conditions in urban areas, where air pollution levels are highest and population density is greatest. DCE - Danish Centre for Environment and Energy at Aarhus University conducts the air quality monitoring for the Ministry of Environment and Gender Equality, in collaboration with the municipalities of Copenhagen, Odense, Aarhus, and Aalborg.

DCE continuously publishes status reports and revised model calculations. The majority of premature deaths are caused by exposure to PM2.5 particles.

Last updated: 25-03-2026
3.a.1
Nicotine and tobacco use

Nicotine and tobacco use by type of nicotine and frequency

Nicotine and tobacco use
Unit: Per cent
Unit: Per cent
201720182019202020222024
Tobacco smoking
Daily users16.017.014.013.013.011.0
Occasional users6.06.06.06.06.06.0
Former users31.032.029.030.029.031.0
Never been a user48.045.051.052.052.052.0
E-cigarettes
Daily users2.03.02.02.02.04.0
Occasional users1.02.01.01.02.03.0
Former users2.03.03.03.04.04.0
Never been a user95.092.095.094.091.090.0
Smoke-free nicotine products
Daily users....0.20.82.03.0
Occasional users....0.50.52.02.0
Former users....0.40.44.03.0
Never been a user....99.098.092.091.0

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Definition

The indicator describes the status and trends in the population’s use of tobacco and nicotine products, including nicotine pouches (commonly referred to as snus). The data are based on the report "Danish Smoking Habits", which was previously published annually but, after 2020, is released every other year.

Source: Danish Health Authority.

Last updated: 08-08-2025
3.a.2
Smokers who participate in a quit-smoking programme

Proportion of smokers who participate in a quit-smoking programme

Proportion of smokers who participate in a quit-smoking programme
Region: Total  |  Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Total1.001.101.301.301.801.401.201.501.50

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Definition

The data shows the trend in the proportion of smokers who participated in a quit-smoking programme.

Source: The Smoking Cessation Database, Bispebjerg and Frederiksberg Hospital.

Last updated: 28-01-2025
3.b.1
Persons vaccinated against seasonal influenza

Proportion of the population vaccinated against seasonal influenza

Proportion of the population vaccinated against seasonal influenza
Unit: Per cent
Unit: Per cent
20152016201720182019202020212022202320242025
Men
Age, total911121313202624232121
15-64 years3456691412101010
65 years and over4447495252747881787676
Women
Age, total1213151617263229272526
15-64 years46789152017141314
65 years and over4447505252757880777575

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Definition

The data shows the proportion of people over the age of 15 who have been vaccinated against seasonal influenza, by age group and sex.

Source: Statens Serum Institut.

Last updated: 09-03-2026
Goal 4: Quality education
Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
4.1.1
Completed education

Proportion of 18-year-olds who have completed lower secondary school and proportion of 25-year-olds who have completed upper secondary school or vocational education and training

x
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
18 years old, who have completed primary school98.998.899.099.099.299.199.199.299.299.2
25 years old (total), who have completed secondary education80.982.182.683.083.082.982.883.784.884.7
25 years old (men), who have completed secondary education78.379.179.880.179.979.679.580.581.881.6
25 years old (women), who have completed secondary education83.685.185.686.086.286.486.287.087.987.8

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Definition

The data shows the trend in the proportion of 18-year-olds who completed lower school and the proportion of 25-year-olds who have completed upper secondary school or vocational education and training, by sex.

Source: Statistics Denmark.

Last updated: 02-05-2025
4.1.2
Subject-qualified teaching in school

Subject-qualified teaching in primary and lower secondary school

Subject-qualified teaching in primary and lower secondary school
Unit: Per cent
Unit: Per cent
2015:20162016:20172017:20182018:20192019:20202021:20222022:20232023:20242024:2025
Visual art67.367.669.269.770.764.764.963.160.1
Biology82.684.887.286.988.785.685.384.684.0
Danish94.195.496.196.597.196.196.496.496.1
English84.086.086.988.589.387.487.686.685.4
French as 2nd language92.192.294.396.095.093.794.592.791.9
Physics/chemistry96.196.297.197.297.796.295.795.494.6
Geography70.874.376.877.177.975.974.473.873.5
History64.869.872.773.975.574.575.274.973.6
Crafts and design79.782.383.082.984.580.381.979.377.6
Physical education78.179.381.581.782.480.580.080.979.7
Religious education46.949.654.257.358.755.656.155.955.1
Food knowledge70.773.273.275.077.571.972.171.071.5
Mathematics88.790.892.693.894.593.994.194.193.4
Music84.085.086.387.187.284.083.879.978.4
Natural sciences/technology60.463.568.069.771.666.866.565.362.6
Social studies73.578.881.983.185.683.483.684.783.6
German as 2nd language90.392.192.793.593.690.991.990.589.8

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Definition

The data shows the development in the proportion of appropriately subject-qualified teaching in the primary and lower secondary school system per school year. Subject-qualified teaching is defined as the proportion of planned teaching hours that are taught by teachers with the subject-qualification levels ’teaching qualified’ (gained through teacher training) and ’equivalent qualified’ (gained through professional development) relative to the total number of teaching hours.

Source: Ministry of Children and Education.

Last updated: 25-11-2025
4.1.3
Well-being of students

Well-being of primary and lower secondary students

Well-being of primary and lower secondary students
Unit: Per cent
Unit: Per cent
2014:20152015:20162016:20172017:20182018:20192019:20202020:20212021:20222022:20232023:20242024:2025
General well-being92.393.092.992.491.090.990.989.887.586.087.1
Academic well-being88.989.288.888.487.585.585.685.483.682.282.6
Social well-being93.093.893.993.492.892.992.091.289.388.789.5
Quiet and good order83.285.385.585.784.986.687.985.583.381.482.5
Support and inspiration64.865.264.562.860.162.360.958.554.151.565.7

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Definition

The data shows the development in the proportion of primary and lower secondary school students who experience well-being, broken down across different well-being parameters. Well-being within each parameter is assessed on a scale from 1 to 5, where 5 indicates a high level of well-being and 1 indicates a low level. In this analysis, students with a score above 3 are considered to be experiencing well-being.

Source: Ministry of Children and Education.

Last updated: 01-04-2026
4.2.1
Preschool personnel

Proportion of preschool personnel with a relevant qualification by job title

Results from the ICILS survey of 8th grade students
Unit: Per cent
Unit: Per cent
Under 1Level 1Level 3Level 3Level 4
201341746302
201831445363
202392445221

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Definition

The data shows the development in the proportion of early childhood personnel in municipal and independent preschool institutions that have an early childhood teaching qualification. For the purposes of the indicator, an early childhood teaching qualification is defined as an early childhood teaching assistant certificate or diploma; a bachelor’s degree in early childhood education; postgraduate qualifications in pedagogy/education. Proportion is calculated as full-time equivalent staff.

Source: Statistics Denmark, table: BOERN1.

Last updated: 12-06-2025
4.3.1
Vocational qualification

Proportion of 35-year-olds with a vocational qualification

x
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Total78.278.378.378.878.979.380.180.381.081.7
Men75.475.075.575.975.676.176.876.977.478.2
Women81.181.581.281.882.382.583.483.984.785.4

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Definition

The figures show the share of 35-year-olds with a vocationally qualifying education, broken down by gender. A vocational qualification refers to all forms of formal post-secondary education, including vocational education and training (VET), diploma programs, bachelor’s and master’s degrees, and PhDs.

Source: Statistics Denmark.

Last updated: 02-05-2025
4.3.2
Drop out of a programme of study

Proportion of students who drop out of a programme of study within five years of commencing

x
Unit: Per cent
Unit: Per cent
20102011201220132014201520162017201820192020
Total21.222.022.823.124.023.121.321.320.520.320.8
Men23.424.325.225.326.425.423.423.322.622.923.2
Women19.319.920.721.021.721.019.419.518.618.018.7

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Definition

The data shows the development in the proportion of students who discontinue a started program within five years of the starting year. Since the measurement covers the entire five-year period, the figures are always reported five years later. Changes between programs within the same main group do not count as dropout.

Source: Statistics Denmark, table: GENMF10.

Last updated: 12-03-2026
4.4.1
Results from the ICILS survey of students

Results from the ICILS survey of 8th grade students

Results from the ICILS survey of 8th grade students
Unit: Per cent
Unit: Per cent
201320182023
Under 1439
Level 1171424
Level 3464545
Level 3303622
Level 4231

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Definition

The data shows the development in the distribution of results from the ICILS surveys conducted. The ICILS survey measures IT competencies among students in 8th grade. The survey is conducted every five years.

Source: Danish School of Education (DPU), Aarhus University.

Last updated: 12-06-2025
4.4.2
Adults in continuing education

Number of course participants and full-time students in adult and continuing education

Participation in supplementary courses
Points in time: School year  |  Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Participants1 160 1241 138 8531 103 7951 084 6041 056 576829 336813 232785 034817 155788 709650 058
Full-time equivalents78 60779 20577 61672 73666 87155 80556 98553 99454 37351 02137 899
2025 lacks information on AVU, FVU, HF single subject, dyslexia education, GSK, GIF and vocational education. They will be included in the next update of the tableIn the most recent calendar year, the figures have not been updated with the 3rd and 4th quarter. For further documentation please see: http://dst.dk/ext/uddannelse/Uddannelsestabeller

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Definition

The data shows the trend in the number of course participants and full-time students in adult and continuing education.

Source: Statistics Denmark, table: VEU20.

Last updated: 27-02-2026
4.5.1
Vocational qualification

Proportion of 35-year-olds with a vocational qualification by parents' level of education

x
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Primary education66.965.565.064.764.665.365.164.865.365.8
Upper secondary education74.671.673.173.775.474.376.075.077.876.3
Vocational education81.181.080.980.780.280.881.381.781.982.9
Short cycle higher education83.584.483.984.783.184.385.285.785.186.5
Vocational bachelors educations and Bachelors programs86.886.786.687.487.587.487.987.888.188.3
Masters programs and PhD programs87.488.589.288.790.190.390.989.990.391.1
Not stated67.870.671.473.874.274.075.276.577.878.4

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Definition

The data shows the development in the proportion of 35-year-olds who have a vocational qualification according to parents’ highest completed level of education. The categories of highest levels of education of parents include: lower secondary school; upper secondary education; VET; shorter higher education course such as a diploma; bachelor’s degree or equivalent; master’s degree or PhD.

Source: Statistics Denmark.

Last updated: 02-05-2025
4.7.1
Average grade in the 9th grade exam

The average grade in the national final 9th grade exam in physics and chemistry, biology, and geography

x
Unit: Grade
Unit: Grade
2015/20162016/20172017/20182018/20192019/20202020/20212021/20222022/20232023/20242024/2025
Total7.37.47.47.57.27.17.07.37.47.5
Boys6.96.96.86.96.86.86.76.86.86.9
Girls7.78.08.08.17.67.57.47.98.08.1

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Definition

The data shows the trend in the average grade for students who sat the annual national final exam in physics and chemistry, biology, and geography held at end of 9th grade, by sex.

Source: Ministry of Children and Education.

Last updated: 25-11-2025
4.a.1a
Students who feel lonely

Proportion of students in higher education who feel lonely

Proportion of students in higher education who feel lonely or stressed
Wellbeing: Feel lonely  |  Unit: Per cent
Unit: Per cent
2018202020212023
Academic bachelor
Always1.72.72.92.9
Often10.113.013.512.7
Sometimes27.432.229.629.1
Seldom35.032.932.633.9
Never25.919.121.421.4
Vocational diploma
Always1.41.91.92.0
Often6.08.69.07.2
Sometimes19.424.223.721.4
Seldom31.329.429.230.5
Never41.835.936.238.9
Masters degree
Always1.72.73.03.2
Often11.414.214.914.9
Sometimes30.734.030.932.8
Seldom33.130.731.330.5
Never23.118.519.918.7
Vocational bachelor
Always1.31.71.81.8
Often7.39.410.29.6
Sometimes22.927.926.927.0
Seldom31.531.131.231.8
Never37.029.829.929.8

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Definition

The data shows the proportion of students in higher education who feel lonely. The response rate for each programme considered was, respectively: academic bachelor 32 per cent; vocational diploma 51 per cent; master’s degree 37 per cent; vocational bachelor 45 per cent.

Source: Ministry of Higher Education and Science.

Last updated: 31-07-2025
4.a.1b
Students who feel stressed

Proportion of students in higher education who feel stressed

Proportion of students in higher education who feel lonely or stressed
Wellbeing: Feel stressed  |  Unit: Per cent
Unit: Per cent
2018202020212023
Academic bachelor
Always3.13.93.33.5
Often16.717.616.415.4
Sometimes29.529.528.228.2
Seldom26.925.926.127.7
Never23.823.025.925.1
Vocational diploma
Always2.32.83.22.8
Often10.412.212.212.4
Sometimes23.525.424.625.8
Seldom27.525.425.626.6
Never36.334.334.432.5
Masters degree
Always3.23.83.63.7
Often18.119.317.316.9
Sometimes31.631.030.431.2
Seldom25.825.827.227.7
Never21.420.221.520.5
Vocational bachelor
Always2.63.12.82.8
Often14.515.415.315.4
Sometimes30.030.029.430.1
Seldom25.525.124.725.7
Never27.326.427.826.0

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Definition

The data shows the proportion of students in higher education who feel stressed. The response rate for each programme considered was, respectively: academic bachelor 32 per cent; vocational diploma 51 per cent; master’s degree 37 per cent; vocational bachelor 45 per cent.

Source: Ministry of Higher Education and Science.

Last updated: 31-07-2025
4.a.2
Well-being score for students

Average well-being score for students in upper secondary education

Average well-being score for students in upper secondary education
Unit: Score
Unit: Score
20182019202020212022202320242025
Academic well-being3.83.73.83.83.83.83.83.8
Social well-being4.14.14.14.24.14.04.04.1
Learning enviroment3.53.43.63.53.63.63.63.5
Pressure and worries2.72.72.72.52.62.62.82.7
Bullying4.74.74.74.74.64.64.64.7

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Definition

The data shows the development in the proportion of students in the various forms of upper secondary education (higher preparatory, higher commercial, higher general and higher technical programmes and International Baccalaureate), who respond that they ‘completely agree’ or ‘agree’ to the question, ‘I am happy to go to school’. Student well-being surveys were first made compulsory when the latest upper secondary school reform was implemented and were carried out for the first time in 2018. Data before 2018 are therefore not available.

Source: Ministry of Children and Education.

Last updated: 10-04-2026
4.a.3
School students who have been bullied

Proportion of primary and lower secondary school students who have been bullied in the current school year

Proportion of primary and lower secondary school students who have been bullied
Unit: Per cent
Unit: Per cent
2014:20152015:20162016:20172017:20182018:20192019:20202020:20212021:20222022:20232023:20242024:2025
4th grade33.127.626.327.429.326.829.130.132.434.835.9
5th grade27.522.721.621.724.623.323.826.330.733.033.1
6th grade24.120.119.319.321.620.721.825.129.132.032.2
7th grade23.219.119.018.420.218.719.523.329.131.030.3
8th grade20.017.617.316.817.316.416.319.525.027.527.5
9th grade18.115.816.217.518.015.016.817.021.623.724.5

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Definition

The data shows the development in the proportion of 4th to 9th grade students whose response in the Ministry of Children and Education’s well-being survey indicates that they have been bullied in the current school year.

Source: Ministry of Children and Education.

Last updated: 12-06-2025
4.a.4
Teachers' use of IT for schoolwork

Teachers' use of IT for schoolwork, by purpose

Teachers
Students¿ use of IT for schoolwork
Unit: Per cent
Unit: Per cent
2018
Works on minor assignments87
Works on major assignments81
Creates visual presentations, videos, etc.78
Submits completed assignments78
Collects data for projects77
Works individually on schoolwork72
Shares materials with other students71
Evaluates information found by searching60
Manipulates and analyses data55
Undertakes searches or fieldwork47
Communicates with other students about projects47
Explains and discusses ideas with other students42
Reflects on own learning and experience32
Organises own time and schoolwork activities31

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Definition

The data shows the percentage of teachers who report that they often or always use ICT in their teaching, broken down by purpose. The ICILS survey, which is conducted every five years, provides data from 2018. Denmark did not fully participate in ICILS 2013, as the teacher strike in the spring prevented complete data collection, and in ICILS 2023, the question on teachers’ use of ICT was omitted in favor of other questions, so this information cannot be updated.

Source: Aarhus University.

Last updated: 03-12-2021
4.b.1
Development aid spent on education

Proportion of development aid spent on education

x
Region: Total  |  Unit: Per cent
Unit: Per cent
20152016201720182019202020212022202320242025
Total4.03.44.57.65.57.04.43.83.74.04.3

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Definition

The data shows the trend in the share of Denmark’s total development aid used for education in the developing countries.

Source: Danida Open Aid, Ministry of Foreign Affairs of Denmark.

Last updated: 26-01-2026
Goal 5: Gender equality
Achieve gender equality and empower all women and girls
5.1.1a
Gender discrimination cases - number of cases

Gender discrimination cases upheld by the Board of Equal Treatment

Gender discrimination cases upheld by the Board of Equal Treatment
Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Total cases72115118869410010515051131
Cases upheld28383226222223421037

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Definition

The data shows the development in the number of cases that has been heard by the Board of Equal Treatment concerning violations of provisions in the Equal Treatment Act on gender discrimination.

Source: Board of Equal Treatment (Ligebehandlingsnævnet).

Last updated: 05-04-2025
5.1.1b
Gender discrimination cases - per cent

Proportion of gender discrimination cases upheld by the Board of Equal Treatment

Proportion of gender discrimination cases upheld by the Board of Equal Treatment
Region: Total  |  Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Total38.933.027.130.223.422.021.928.019.628.2

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Definition

The data shows the development in the proportion of cases concerning violations of provisions in the Equal Treatment Act on gender discrimination.

Source: Board of Equal Treatment (Ligebehandlingsnævnet).

Last updated: 05-04-2025
5.2.1
Stays at crisis shelters

Number of stays of at least one day at crisis shelters, by country of origin

Stays and residents at crisis shelters
Resident status: Stays  |  Unit: Number
Unit: Number
20172018201920202021202220232024
Persons of Danish origin8271 0411 1511 2761 5071 8802 0472 117
Immigrants and descendants9721 2481 3521 3571 5091 5691 5971 669
Unknown origin177132125115103165140177
The statistics relate to stays at crisis shelters according to §109 of the Social Service Act. In 2024, 94 crisis shelters have approved their data. Three have not approved their data because the services were discontinued during the period. All crisis shelters have reported data in 2024. In the statistics for 2024, 5% of the individuals and 4% of the children are either anonymous or without a valid social security number. In 2024, Section 109 of the Social Services Act was expanded so that men have the right to stay at a crisis shelter on equal terms with women. For all stays with an admission date up to July 1, 2024, all individuals included in the statistics are therefore women, while from May 1, 2024, both men and women are included in the statistics. Ancestry is the parents ancestry throughout the table, and the figures for children therefore show the number of children with a parent of that ancestry.

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Definition

The figures show the development in the number of stays of at least one day at shelters during calendar years, broken down by origin.

Since 1 July 2024, men have had the right to stay at a crisis center on equal terms with women. For all stays with a registration date up to 1 July 2024, all persons included in the statistics are therefore women, whereas from 1 July 2024 the statistics include both men and women. In 2024, there were a total of 129 stays by men at crisis centers. In total, 56 stays were registered with unspecified gender. Stays involving children are included in the count.

More information is available on Statistics Denmark’s topic page on stays at crisis centers
Last updated: 03-06-2025
5.2.2
Inquiries to women's crisis shelters

Number of inquiries to women's crisis shelters

x
Region: Total  |  Unit: Number
Unit: Number
20152016201720182019
Total13 09612 6739 97610 38510 767

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Definition

The figures show the development in the number of inquiries to women's shelters. Source: National Board of Health and Welfare. 
Statistics Denmark has not published data regarding inquiries in recent years, as reporting these statistics has not been mandatory for the shelters. The data base has therefore not been of sufficient quality to enable the publication of reliable figures. 

However, reporting was made mandatory again in 2025. On this basis, Statistics Denmark will resume publishing the statistics in 2025. Updated figures are expected to be available in November 2026.

Last updated: 05-04-2022
5.2.3
Harassment, physical violence and threats at the workplace

Proportion of persons having experienced sexual harassment, physical violence and/or threats at the workplace

. Proportion of persons having experienced sexual harassment, physical violence
Unit: Per cent
Unit: Per cent
2016201820212023
Men
Sexual harassment1.61.81.32.0
Threats6.45.95.46.0
Physical violence3.43.42.13.2
Women
Sexual harassment6.05.53.66.8
Threats11.311.07.58.9
Physical violence8.68.55.16.4

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Definition

The data shows the development in the proportion of men and women over the age of 18 who report having experienced sexual harassment, threats or physical violence at the workplace. Data are from the NFA surveys of working conditions in Danish workplaces. It should be noted that data were collected in the first half of 2021 under unusual conditions due to the COVID-19 pandemic. The results must be read and interpreted in the light of the fact that restrictions and closure of parts of society may have had a significant impact on personal conditions, working conditions and the working environment.

Source: The National Research Centre for the Working Environment (NFA).

Last updated: 13-01-2025
5.2.4
Victims of sexual offences and violent crimes

Number of victims of sexual offences and violent crimes per 100,000 population, by sex

Gender equality indicator of victims of offenses against the person
Unit: Per 100,000 persons
Unit: Per 100,000 persons
20152016201720182019202020212022202320242025
Men (per 100,000)
SEXUAL OFFENCES, TOTAL9.113.820.217.518.219.421.520.917.924.521.9
CRIMES OF VIOLENCE, TOTAL356.3441.4514.2528.9523.2491.2484.2529.7522.0503.0529.1
Women (per 100,000)
SEXUAL OFFENCES, TOTAL75.0102.2113.4128.8143.1143.6184.0176.2167.6154.6169.0
CRIMES OF VIOLENCE, TOTAL239.4316.0371.3388.2411.7400.9400.6486.4441.8427.8483.8
The basis data behind this table is accessable in [LIGEPB1](https://statbank.dk/ligepb1). # # From 2022, an extended method have been used to search for errors in data on victims of homicide. The figures back to 2001 have been revised using the same error-finding method.

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Definition

The data shows the development in the number of victims of crimes against the person, including violence and sexual offences, per 100,000 inhabitants by gender and type of offence. It should be noted, however, that the figures are likely underestimated, as there may be a considerable dark figure, because not all incidents are reported.

Source: Statistics Denmark, table: LIGEPI1.

Last updated: 17-03-2026
5.4.1
Maternity/paternity benefits

Average number of days that mothers and fathers receive maternity/paternity benefits

Gender equality indicator on days of parental benefits to parents
Unit: Days
Unit: Days
20162017201820192020202120222023
Father (days)30.932.633.735.637.139.152.770.9
Mother (days)282.3281.2281.7280.4280.0278.2263.3241.8
The table was republished on 5 February 2026 for the parent cohorts 2017-2023, following the inclusion of additional parental leave benefit cases in the underlying data. The correction primarily results in more fathers taking parental leave and in fathers taking longer leave on average. The table includes couples who live together, had a child in the year in question and where both are entitled to maternity benefits. Each year in the table represents a parent cohort. A cohort of parents consists of those couples who had a child during the year. In LIGEFI1, only leave days taken during the child's first year of life are counted. The figures for parental cohort 2022 represent a data break compared to parental cohort 2021 due to the changes in the Parental Leave Act as of 2 August 2022. # # The basic figures behind this table are available in [LIGEFB1](https://statbank.dk/ligefb1)

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Definition

The data shows the trend in the average number of days that maternity/paternity benefits are received by the mother and father, respectively, (only includes individuals who are entitled to maternity/ paternity benefits).

Source. Statistics Denmark, table: LIGEFI1.

Last updated: 05-02-2026
5.4.2
Absent from work due to a child's illness

Average number of days absent from work due to a child's illness, per full-time equivalent

Gender equality indicator of absence days due to children's sickness (average)
Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Men (absence days per full-time employed)0.800.850.840.850.880.670.791.000.990.95
Women (absence days per full-time employed)1.391.451.431.431.461.111.281.591.501.47
In connection with the update d. December 4, 2024, the periods 2022 have been reloaded due to an error.

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Definition

The data shows the average number of days of absence from work per full-time equivalent employee per year due to a child’s illness, by sex. The survey only includes employees who have at least one child living at the address and thus has the possibility of having to be absent on the grounds of a child’s illness.

Source: Statistics Denmark, table: LIGEFI8.

Last updated: 04-12-2025
5.5.1b
Female senior executives and board members

Proportion of female senior executives and board members

Gender equality indicator of board members and managers
Indicator: Women (per cent)  |  Unit: -
201920202021202220232024
Board members202020212121
Managers151515161616
The basis data behind this table is accessable in [BEST11](https://statbank.dk/best11)

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Definition

The data shows the development in the proportion of female senior executives and members of boards of directors.

Source: Statistics Denmark, table: BEST11.

Last updated: 21-01-2026
5.5.1c
Female professors, associate professors and assistant professors

Proportion of female professors, associate professors and assistant professors

Proportion of female professors, associate professors and assistant professors
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Professor32.433.333.733.834.435.035.836.236.937.7
Associate professor32.733.033.433.733.934.335.035.236.036.3
Assistant professor39.440.940.540.141.241.742.643.243.344.3

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Definition

The figures show the proportion of female professors, associate professors, and assistant professors. In 2018, a data break occurred in which some part¿time employees were recorded as full¿time employees. The period up to and including 2017 should therefore be interpreted as one period, and the period from 2018 onward as another. Read more here.

Source: Ministry of Higher Education and Science (retrieved 6 March 2026).

Last updated: 09-03-2026
5.6.1a
Students enrolled in the Uge Sex programme - number

Number of school students enrolled in the Uge Sex programme

Total number of students in primary and lower secondary school
Unit: 1,000
Unit: 1,000
201620172018201920202021202220232024
Enrolled in Uge Sex469497466443445345481227421
Number of students675675673668659650642642637

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Definition

The data shows the development in the number of school students enrolled in the Uge Sex programme. Uge Sex is a national campaign run by Sex & Samfund, and it provides teaching materials designed to meet the curriculum goals for the school subject health and sex education and family knowledge. The table consurns students in grade 0-9. There were technical problems with the registration module in 2023.

Source: The Danish Family Planning Association (Sex & Samfund).

Last updated: 09-03-2026
5.6.1b
Students enrolled in the Uge Sex programme - per cent

Proportion of primary and lower secondary school students enrolled in the Uge Sex programme

Proportion of primary and lower secondary school students enrolled in the Uge Se
Region: Total  |  Unit: Per cent
Unit: Per cent
201620172018201920202021202220232024
Total69.573.669.366.367.553.175.035.366.0

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Definition

The data shows the development in the proportion of primary and lower secondary school students enrolled in the Uge Sex programme. Uge Sex is a national campaign run by Sex & Samfund, and it provides teaching materials designed to meet the curriculum goals for the primary and lower secondary school subject health and sex education and family knowledge. The proportion is calculated as the number of primary and lower secondary school students enrolled in the Uge Sex programme divided by the total number of students.

Source: The Danish Family Planning Association (Sex & Samfund).

Last updated: 09-03-2026
5.a.1
Pension wealth

Average total pension wealth, by sex

Gender equality indicator of value of median pension assets for persons
Unit: -
2015201620172018201920202021202220232024
Men (DKK)299 404315 477324 780318 764356 351379 917398 560331 547350 266362 371
Women (DKK)220 147236 761246 914248 917280 043302 853318 209267 460284 154305 294
A data break in the market value of housing has contributed to an additional increase around 2 percent in net wealth from 2023 to 2024. The 2023 data were revised on the 27th November 2025.

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Definition

The data shows the trends in average pension wealth, by sex. Pension wealth is made up of the sum of the assets in all the pension schemes that a person has. For schemes that are taxed at the time they are withdrawn, the amount is reduced by 40 per cent in order to better compare them with schemes that are taxed in advance (when savings are deposited). For civil servant pension wealth, the estimated value of the accrued pension rights is used.

Source: Statistics Denmark, table: LIGEII8.

Last updated: 27-11-2025
5.a.2
Self-employed

Proportion of self-employed relative to total workers, by sex

Proportion of self-employed among employees
Unit: Per cent
Unit: Per cent
20082009201020112012201320142015201620172018201920202021202220232024
Total7.17.37.27.27.27.17.07.06.86.76.56.46.36.16.05.85.6
Men10.010.310.210.09.99.89.69.49.18.88.68.48.27.97.77.37.1
Women4.04.14.14.24.24.24.24.34.34.24.24.24.24.14.24.14.1

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Definition

The data shows the development in the share of self-employed among the employed, broken down by gender in the 16-64 age group.

Source: Statistics Denmark, table: RAS300.

Last updated: 10-03-2026
5.b.1
ICT specialists and basic digital skills

Distribution of ICT specialists, by sex and proportion of the population with basic or above basic digital skills

x
Unit: Per cent
Unit: Per cent
20152016201720182019202020212022202320242025
Male ICT-specialists83.583.082.882.882.281.680.981.180.680.5..
Female ICT-specialists16.517.017.217.217.818.419.118.919.419.5..
Males, who have minimum basic digital skills56.656.657.6..58.1..71.5..71.2..81.9
Females, who have minimum basic digital skills51.052.153.0..54.0..65.8..68.1..81.0

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Definition

The indicator consists of two sub-indicators: the development of the gender distribution among information, communication and technology (ICT) specialists and the proportion of the population between 16 and 74 years of age with basic or above basic overall digital skills.

Data on ICT specialists is derived from the Labour Force Survey (LFS). Data on ICT specialists cover persons working as ICT specialists in all parts of the economy.

Digital skills are measured using a harmonized European Union survey conducted by Statistics Denmark. Digital skills are assessed on the basis of activities carried out on the internet in five areas: information, communication, problem solving, security and content creation. The methodology has been changed substantially in 2021, to reflect the the European Unions Digital Competence Framework 2.0. As a consequence, 2021 is the beginning of a new time series and marks a break in time series.

Data is retreived from Eurostat. Online data code in Eurostat database: isoc_sk_dskl_i21 (skills) and isoc_sks_itsps (ICT specialists). 

Last updated: 10-03-2026
5.c.1
Bills that have been relevance tested and gender equality assessed

Share of bills that have been relevance tested and gender equality assessed

Share of bills that have been relevance tested and gender equality assessed
Unit: Per cent
Unit: Per cent
2014:20152015:20162016:20172017:20182018:20192019:20202020:20212021:20222022:20232023:20242024:2025
Relevance tested36.255.147.950.649.140.274.391.0100.092.788.0
Gender equality assessed14.012.78.06.69.17.58.710.615.011.915.0

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Definition

The Danish Parliament calculates the proportion of bills that have been relevance tested and gender equality assessed during the parliamentary year. The assessment is intended to ensure that new legislation does not unintentionally create or reinforce gender inequality. It is a statutory task to assess the consequences (gender, rights, conditions), as gender equality is a highly prioritized political objective in Denmark.

Source: The Danish Parliament.

Last updated: 09-03-2026
Goal 6: Clean water and sanitation
Ensure availability and sustainable management of water and sanitation for all
6.1.1
Expenditure on water and wastewater

Households' average annual expenditure on water and wastewater as a share of household income

xxx
Region: Total  |  Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Total1.01.11.11.11.01.01.01.01.0

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Definition

The data shows the trend in households’ average annual expenditure on water and wastewater as a share of household income.

Note that from 2015 to 2022, only current prices for water supply and wastewater collection via the sewer network were included, whereas current prices for on-site sanitation wastewater collection were also included from 2023.

Source: Statistics Denmark, table: FU12 and FU19.

Last updated: 26-06-2025
6.1.2
Quality of the drinking water

Quality of the drinking water

The microbiological quality of drinking water
Tests that meet the requirements: Tests that meet the requirements, total  |  Unit: Per cent
Unit: Per cent
20172018201920202021202220232024
Tests that meet the requirements, total96.297.499.399.598.999.599.499.1

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Definition

The table shows the proportion of samples that comply with the microbiological requirements for drinking water. The indicator is part of the performance benchmarking of the water sector.

According to the Danish Water Sector Act and the Executive Order on performance benchmarking of water companies, all Danish water companies covered by the Water Sector Act (i.e. municipally owned water supply companies as well as consumer-owned waterworks that sell or treat more than 200,000 cubic meters of water per year) must report data to the Danish Environmental Protection Agency on the companies’ performance in the areas of health, security of supply, energy and climate, and environment. In 2024, 217 samples were taken.

Source: Danish Environmental Protection Agency.

Last updated: 12-01-2026
6.1.3
Samples from the extraction wells that exceed regulated safety limits

Proportion of samples from the extraction wells that exceed regulated safety limits for pesticides and nirate

Proportion of samples from the extraction wells that exceed the Danish Environme
Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Nitrate content more than 50 mg/l1.00.40.50.81.01.10.60.71.1
Pesticides more than 0.1 µg/l3.62.97.411.112.714.613.413.212.2

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Definition

The figures show the development in the share of extraction intakes performed by waterworks that exceed the safety requirement values for drinking water for nitrate and pesticides. The development in the share of exceeded values for pesticides is primarily due to changes in the number of substances examined. From 2020, pesticide data is calculated for the individual waterworks intakes instead of (as before) at borehole level. 

Source: GEUS and the Danish Environmental Protection Agency.

Last updated: 16-10-2025
6.1.4
Proportion of type 3-treated drinking water

Proportion of type 3-treated drinking water

xxx
Region: Total  |  Unit: Per cent
Unit: Per cent
20152017201820192020202120222023
Total16.022.122.424.226.928.129.730.2
Before 2017, the calculation is based on figures for all water companies with a total annual debited water volume of more than 200,000 m3. After 2017, the calculation is only based on figures for water companies with an annual debited water volume of more than 800,000 m3.

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Definition

The data shows the trend in the proportion of drinking water that was type 3 treated. Before 2017, the calculation is based on figures for all water companies with a total annual debited water volume of more than 200,000 m3. After 2017, the calculation is only based on figures for water companies with an annual debited water volume of more than 800,000 m3.

Source: Danish Competition and Consumer Authority.

Last updated: 23-10-2025
6.2.1
Clean toilet facilities in primary and lower secondary school

Proportion of students in primary and lower secondary school responding that toilet facilities are clean

Proportion of students in primary and lower secondary school responding that toi
Unit: Per cent
Unit: Per cent
2014:20152015:20162016:20172017:20182018:20192019:20202020:20212021:20222022:20232023:20242024:2025
0th to 3th grade52.453.155.358.458.961.466.662.255.755.456.6
4th to 9th grade14.815.916.818.118.519.723.121.819.118.017.9

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Definition

The data shows the trends in students’ assessments of the state of toilets in primary and lower secondary schools. The students in kindergarten class to third-grade level responded to the question ’Are the toilets at the school clean?’. The students in fourth to ninth grade responded to the statement ’I think the toilets at school are neat and clean’.

Source: National Agency for IT and Learning.

Last updated: 09-07-2025
6.3.1
Nutrients discharged from wastewater treatment plants

Amount of nutrients discharged from wastewater treatment plants

Amount of nutrients discharged from wastewater treatment plants
Unit: 1,000 tonnes
Unit: 1,000 tonnes
2015201620172018201920202021202220232024
Nitrogen3.83.43.53.13.73.23.32.93.83.9
Phosphorus0.50.40.30.30.40.30.30.30.30.4
Organic matter2.82.22.72.22.32.22.32.02.52.5

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Definition

The data shows the trends in the amount of nutrients discharged from wastewater treatment plants, in 1,000 tonnes.

Source: Danish Environmental Protection Agency.

Last updated: 24-10-2025
6.3.2a
Pesticide use in agriculture, forestry and horticulture

Pesticide use in agriculture, forestry and horticulture

Pesticide use in agriculture, forestry and horticulture
Region: Total  |  Unit: PLI (Pesticide load)
Unit: PLI (Pesticide load)
2014:20152015:20162016:20172017:20182018:20192019:20202020:20212021:20222022:2023
Total2.112.172.131.441.761.391.521.531.68

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Definition

The data shows the trend in the use of pesticides in agriculture, forestry and horticulture measured by the PLI. PLI is an indicator that shows the total environmental and health impact of pesticide use regardless of changes in the cultivated area.

Source: Danish Environmental Protection Agency.

Last updated: 18-11-2025
6.3.2b
Pesticide use by households

Pesticide use by households

Pesticide use by households
Unit: Tonne
Unit: Tonne
201520162017201820192020202120222023
Total without moss killer17.418.417.623.429.693.715.948.836.5
Total with moss killer21.020.020.062.345.0113.036.060.042.0

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Definition

The data shows  the development in household pesticide use divided into use with and without moss killers. Moss killers are pesticides/biocides used to remove moss, and only approved products may be used in Denmark.

Source: Danish Environmental Protection Agency.

Last updated: 18-11-2025
6.3.2c
Pesticide use by the public sector

Pesticide use by the public sector

. Pesticide use by the public sector
Unit: kg
Unit: kg
201320162020
State1 007958936
Region1612052
Municipality1 2621 4333 400
Local railways911506540

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Definition

The data shows the trends in pesticide use by the public sector. Contrary to past procedure, several government units are not included in the 2016 survey, for example Ørsted A/S (formerly DONG), the Ministry of the Danish Church and the universities. The survey is published every three-four  years. The next update for year 2024 is not yet published (as per 3rd March 2026).

Source: Danish Environmental Protection Agency.

Last updated: 18-01-2024
6.4.1
Water consumption

Water consumption by supply source

Consumption of water (Physical water accounts)
Industry: Industries and households  |  Unit: 1,000 m3
Unit: 1,000 m3
2015201620172018201920202021202220232024
Own abstracted ground water353 756327 573322 894505 074368 474330 459360 387373 567408 835227 084
Own abstracted surface water233 072201 736217 540234 075218 208244 113237 654224 460229 449230 991
Purchased water350 726357 686355 365366 668358 911372 706366 669360 853360 066356 886
Data for the latest two years are preliminary.

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Definition

The data shows the development in the total water consumption by the source of supply.

Source: Statistics Denmark, table: VANDRG2.

Last updated: 28-11-2025
6.4.2
Water loss in the water supply system

Trend in water loss in the water supply system

Trend in water loss in the water supply system
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Water loss (DANVA)7.87.67.28.17.37.37.27.27.37.5
Water loss (Enviroment Protection Agency)....6.06.25.65.56.26.06.56.5

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Definition

The data shows the trend in water loss. Water loss in the figure is based on two different methods. Water loss (DANVA) is based on the Danish Water and Wastewater Association’s (DANVA) estimation, which covers approximately 52 per cent of the drinking water sold in Denmark. Water loss (Danish Environmental Protection Agency) is based on the Danish Environmental Protection Agency’s performance benchmarking, which covers 87 per cent of the total production of Danish drinking water. The Danish Environmental Protection Agency’s performance benchmarking includes water companies that supply at least 200,000 m3 of water per year. Water loss (Danish Environmental Protection Agency) data were not collected until 2017.

Sources: Dansk Vand- og Spildevandsforening (DANVA) and Danish Environmental Protection Agency.

Last updated: 02-12-2025
6.5.1
Nitrogen and phosphorus discharged into Danish waters

Amount of nitrogen and phosphorus discharged into Danish waters

Amount of nitrogen and phosphorus discharged into Danish waters
Unit: 1,000 tonnes
Unit: 1,000 tonnes
2015201620172018201920202021202220232024
Nitrogen70.056.060.049.074.057.050.045.065.066.0
Phosphorus2.41.92.01.62.01.91.51.52.12.6

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Definition

The data shows the amount of nitrogen and phosphorus discharged into the Danish waters.

Source: Danish Centre for Environment and Energy (DCE), Aarhus University.

Last updated: 18-02-2026
6.6.1
Area of section 3-protected habitats

Area of section 3-protected habitats, by type

Area of section 3-protected habitats
Unit: 1,000 ha
Unit: 1,000 ha
19962006201620192024
Lakes56.762.968.770.871.9
Bog89.992.8101.8104.1105.2
Freshwater meadow103.796.4108.1107.6105.2
Salt marshes43.642.946.746.745.6
Pastures26.027.834.136.138.5
Heathlands82.084.584.886.184.5

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Definition

The data shows how the area of § 3-protected sites has developed over time. These sites are designated to protect wildlife, plants, their habitats, the landscape, cultural and historical values, as well as public access to nature. The protection generally means that changes to the condition of these areas are not allowed, unless a special exemption is granted.

Source: Danish Environmental Protection Agency.

Last updated: 15-10-2025
Goal 7: Affordable and clean energy
Ensure access to affordable, reliable, sustainable and modern energy for all
7.1.1
Homes heated with oil-fired central heating

Proportion of homes heated with oil-fired central heating

Dwellings with oil burner
Region: Total  |  Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023202420252026
Total10.39.69.18.68.07.36.86.25.14.53.53.2

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Definition

The data shows the trend in the proportion of homes that use oil-fired central heating as the primary heating source.

Source: Statistics Denmark, table: BOL105.

Last updated: 10-04-2026
7.1.2
Electricity supply disconnections in households

Electricity supply disconnections in households

Dwellings with oil burner
Region: Total  |  Unit: Number
Unit: Number
20172018201920202021202220232024
Total17 79018 00217 80622 55421 09222 42921 86522 330

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Definition

A supply disconnection occurs when an electricity supplier requests a grid company to disconnect a customer’s electricity supply, for example due to non-payment.

Electricity suppliers are not required to report disconnections where a customer terminates their contract with the supplier, or where the customer has requested disconnection of supply to a metering point. The statistics also do not include disconnections caused by outages or other technical issues.

The Danish Utility Regulator (Forsyningstilsynet) publishes annual statistics on electricity supply disconnections and the reasons for them. The purpose of the statistics is to ensure transparency regarding the extent of disconnections due to non-payment, thereby providing an informed basis for assessing whether special measures are needed to protect financially vulnerable consumers.

Source: The Danish Utility Regulator (Forsyningstilsynet).

Last updated: 28-02-2026
7.2.1
Renewable energy

Share of total energy consumption of renewable energy, by sector

x
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Households16.016.617.118.217.218.618.920.620.522.0
Industry6.07.58.010.311.611.912.614.917.418.6
Transportation0.40.40.30.30.30.40.40.40.30.2
Public administration, education and health4.14.44.45.15.96.56.97.26.97.5

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Definition

The data shows the share of the total energy consumption of households, the industrial sector, the transport sector and the public sector that is from renewable energy sources.

Source: Statistics Denmark, table: ENE3H.

Last updated: 10-07-2025
7.2.2
Total energy consumption from renewable energy sources

Share of total energy consumption from renewable energy sources, by purpose

Share of total energy consumption from renewable energy sources
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Heating and cooling39.541.144.145.047.351.151.651.454.556.4
Transport6.46.76.96.97.19.710.110.011.114.1
Electricity51.353.759.962.465.365.373.276.779.079.7

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Definition

The data shows the share of renewable energy in energy consumption by purpose. Heating and cooling are combined as separate data are not publicly available.

Source: Eurostat.

Last updated: 26-02-2026
7.2.3
CO2 emissions per kilowatt hour

CO2 emissions per kilowatt hour

CO2 emissions per kilowatt hour
Unit: grams per kilowatt hour
Unit: grams per kilowatt hour
2015201620172018201920202021202220232024
Electricity349.7370.5292.1308.2228.5230.8208.4149.0125.2107.0
Destrict heating116.5109.194.593.187.475.255.688.078.778.3
Gas203.3199.0194.4190.1183.1167.7156.2134.9127.6127.5

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Definition

The figures show CO¿ emissions from electricity, district heating, and pipeline gas. As of 2022, the Danish Energy Agency changed its method for allocating emissions between electricity and district heating when they are produced jointly. This means that from 2022 onwards, a larger share of the emissions is attributed to district heating.

Source: Danish Energy Agency and Statistics Denmark’s own calculations.

Last updated: 26-02-2026
7.3.1
Final energy consumption

Final energy consumption compared with gross energy consumption

x
Region: Total  |  Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Total81.581.882.582.483.883.082.184.284.184.0

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Definition

The figures show how final energy consumption develops in relation to total (gross) energy consumption. The comparison illustrates how efficiently energy is utilized, as it takes into account losses during production and transport to the end user. The figures are based on climate-adjusted consumption.

Source: Danish Energy Agency.

Last updated: 26-02-2026
7.a.1
Climate and energy research

Private funds used for climate and energy research

x
Unit: m DKK
Unit: m DKK
Biotechnology within energy and enviromentEnergy engineeringEnvironmental engineering
20172542 3561 583
20195223 351285
20211091 373407
20231673 931516

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Definition

The data shows the amount of private funds used for research and development within climate and energy research.

Source: Statistics Denmark.

Last updated: 12-08-2025
Goal 8: Decent work and economic growth
Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all
8.1.1
Labour productivity

Growth in labour productivity in Denmark, total economy

Labour productivity
Price unit: Annual growth rate in per cent, 2020-prices, chained values  |  Industry: Total  |  Unit: -
20152016201720182019202020212022202320242025
Total0.960.952.261.700.861.070.80-2.341.153.342.12

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Definition

The data shows the trend in the annual growth rate of labour productivity as a percentage (2010 prices, chained values). The growth rates for labour productivity are based on real gross value added (GVA) per hour worked.

Source: Statistics Denmark, table: NP23.

Last updated: 31-03-2026
8.1.2
Real disposable GNI

Real disposable GNI per capita

x
Industry: Total  |  Unit: DKK
Unit: DKK
20152016201720182019202020212022202320242025
Total379 779390 360401 586408 464416 469415 928450 499456 796442 898454 392459 326

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Definition

The data shows the trend in real disposable gross national income (GNI) per capita. Real disposable GNI per capita measures the income available per person, adjusted for inflation, showing their actual purchasing power. Values are expressed in 2020 prices.

Source: Statistics Denmark, table: NAN2 and NAHB.

Last updated: 02-03-2026
8.1.3
Real disposable NNI

Real disposable NNI per capita

x
Industry: Total  |  Unit: DKK
Unit: DKK
201720182019202020212022202320242025
Total336 528341 611346 939344 640376 498379 811361 557369 923374 169

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Definition

The data shows the trend in real disposable Net National Income (NNI) per capita, in 2020 prices. Real disposable NNI per capita shows the amount actually available for consumption and saving per person, after accounting for capital consumption, that is, the portion of income per person used to maintain or replace buildings, machinery, and other productive assets.  Values are expressed in 2020 prices.

Source: Statistics Denmark, table: NAN2 and NAHB.

Last updated: 02-03-2026
8.2.1
Start-ups

Proportion of start-ups still operating after two years

x
Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
TOT Industry total626466646561696161
1 Agriculture, forestry and fishing434452505351544749
2 Manufacturing, mining and quarrying, and utility services626665636462686362
3 Construction697070687067706863
4 Trade and transport etc.646567656662726360
5 Information and communication575862596057635757
6 Financial and insurance787876757873877570
7 Real estate686973727370776968
8 Other business services606162605957655757
9 Public administration, education and health676872666864665660
10 Arts, entertainment and other services656568656459625859
11 Activity not stated565661353305010080

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Definition

The data describe the development in the share of start-ups still operating after two years with economic activity. The data for the respective years show the proportion of the enterprises that were established two years before and that were still in existence two years later.

Source: Statistics Denmark, table: DEMO16.

Last updated: 11-12-2025
8.3.1
High-growth start-ups

Proportion of high-growth start-ups by region

x
Unit: Per cent
Unit: Per cent
201520162017201820192020
All Denmark101211131213
Region Hovedstaden121413151415
Region Sjælland5989109
Region Syddanmark7119111011
Region Midtjylland121212131314
Region Nordjylland710612119

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Definition

The data shows the trends in the proportion of high-growth start-ups distributed by the regions in Denmark. High-growth startups are defined as market-oriented private enterprises up to five years old that had an average annual growth of more than 10 per cent over a three-year period and five or more employees at the start of the growth period. The data are the number of high-growth start-ups as the percentage of total active enterprises with at least five employees and the same start year.

Source: Danish Business Authority.

Last updated: 20-01-2023
8.3.2
High-growth enterprises

Proportion of high-growth enterprises by region

x
Unit: Per cent
Unit: Per cent
201520162017201820192020
All Denmark12.415.115.215.714.012.1
Region Hovedstaden13.715.716.117.015.613.3
Region Sjælland11.713.412.614.312.110.6
Region Syddanmark11.314.413.313.412.110.4
Region Midtjylland12.415.516.116.214.012.4
Region Nordjylland11.015.116.416.914.012.0

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Definition

The data shows the trend in the proportion of high growth enterprises. High-growth enterprises are defined as enterprises in the non-agricultural private sector that have had average annual growth in the number of employees of at least 10 per cent over a three-year period, and that had at least 10 employees at the beginning of the growth period. The proportion is calculated as the number of high growth enterprises as a percentage of the total population of active enterprises with at least 10 employees.

Source: Danish Business Authority.

Last updated: 20-01-2023
8.4.1a
Area consumed (ecological footprint) in global hectares per capita

Area consumed (ecological footprint) in global hectares per capita

Area consumed (ecological footprint) in global hectares per capita
Unit: ha
Unit: ha
2015201620172018201920202021202220232024
Built-up land0.340.300.330.230.310.310.290.310.300.30
CO2 footprint3.453.413.433.473.373.133.283.543.053.00
Crop land1.921.661.891.391.941.851.471.621.621.61
Fishing grounds0.930.970.930.890.760.680.550.540.530.53
Forestry1.050.970.971.091.091.091.081.081.071.06
Grazing land0.530.540.500.480.420.400.400.380.380.38

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Definition

The data shows the development in Denmark’s ecological footprint, i.e. its consumption converted to area, measured in global hectares per capita.

Source: Global Footprint Network.

Last updated: 12-12-2025
8.4.1b
Per capita area consumed and available (ecological footprint and biocapacity)

Per capita area consumed and available (ecological footprint and biocapacity)

Per capita area a consumed and available (ecological footprint and biocapacity)
Unit: ha
Unit: ha
2015201620172018201920202021202220232024
Danish area consumed8.27.98.17.67.97.57.17.57.06.9
Danish area available4.54.34.53.94.44.34.24.34.34.3
Global area available1.61.61.61.61.51.51.51.51.51.5

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Definition

The data shows the trends in Denmark’s ecological footprint, i.e. its consumption converted to area measured in global hectares per capita as well as Danish and global biocapacity, i.e. the available biologically productive area.

Source: Global Footprint Network.

Last updated: 12-12-2025
8.5.1
Employers with employees in supported employment

Proportion of employers with employees in supported employment, by organisation sector and size

x
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Public sector +1003.13.03.03.03.13.03.43.53.63.5
Private sector +1001.31.31.31.41.51.51.81.92.02.0
Public sector, total3.23.03.03.13.13.03.43.63.63.6
Private sector, total2.12.22.32.42.62.63.03.03.13.1

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Definition

The data shows the trends in the proportion of organisations with supported employees by employer size. ‘+100’ indicates that the enterprise or public sector entity has more than 100 employees. ‘Public all entities’ and ‘total private’ indicate the proportion of total supported employment regardless of size.

Source: Statistics Denmark.

Last updated: 16-03-2026
8.5.2
Employment rate

Employment rate

Activity and employment rates (end November)
Age: 16-64 years  |  Frequency: Employment rate  |  Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Total
Total72.172.873.674.675.174.577.177.677.577.4
Persons of Danish origin75.075.876.577.377.677.079.379.979.779.7
Immigrants54.956.458.360.562.762.666.767.167.868.1
Descendants56.257.158.860.461.961.768.869.569.369.3
Men
Total74.074.975.676.577.076.378.979.479.279.2
Persons of Danish origin76.677.478.078.878.978.280.681.281.181.1
Immigrants59.461.363.665.968.167.671.471.772.072.4
Descendants56.257.158.259.660.960.367.468.368.068.2
Women
Total70.170.871.572.673.272.875.475.875.875.6
Persons of Danish origin73.474.174.975.876.275.777.978.678.478.3
Immigrants50.451.453.055.057.357.762.062.663.663.9
Descendants56.357.159.361.362.963.270.270.870.670.6

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Definition

The data shows the trends in the employment rate, by sex and ancestry.

Source: Statistics Denmark, table: RAS200.

Last updated: 18-11-2025
8.6.1
Unemployed recent graduates

Proportion of unemployed recent graduates, by type of education

Proportion of unemployed recent graduates, by type of education
Proportion of unemployed recent graduates
Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Vocational diploma and other short higher education11101010129787
Bachelor degree and equivalent higher education8888107566
Masters degree121313141511787
All population10101011129676

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Definition

The point of departure is completed education within the period from 1 October of the previous year to 30 September of the year in question. For each completed programme, unemployment is measured in the second year after completion (4th–7th quarter). The 4th quarter is defined as the quarter that includes the date exactly one year after completion (i.e. the 4th–7th quarters are measured from and including the quarter containing the one-year anniversary of completion up to and including the quarter immediately preceding the two-year anniversary of completion). Unemployment for graduates in 2017 is thus measured up to and including the 2nd quarter of 2019. Unemployment is expressed as a rate. For example, if a person is unemployed for half of the measured quarter, that person is included with an unemployment rate of 0.5.

Sources: Ministry of Higher Education and Science and Statistics Denmark.

Last updated: 12-12-2025
8.8.1a
Occupational accidents, by sector

Total number of occupational accidents per 100 full-time equivalent employees, by sector

Total number of occupational accidents per 100 full-time equivalent employees
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Agriculture, forestry and fishing2.02.12.12.22.22.52.82.42.52.5
Manufacturing, mining and quarrying, and utility services2.32.22.22.22.12.12.42.21.91.9
Construction3.53.73.63.73.73.64.03.73.83.8
Trade and transport etc.1.71.61.71.71.71.61.81.91.81.7
Information and communication0.30.30.20.20.30.20.40.30.30.3
Financial and insurance0.30.30.30.20.20.20.50.40.30.3
Real estate1.31.41.41.51.31.41.81.71.71.6
Other business services1.11.21.21.21.21.11.21.31.11.1
Public administration, education and health1.92.12.12.02.02.64.07.22.32.2
Arts, entertainment and other services1.61.91.92.02.01.82.42.72.42.2

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Definition

The indicator is calculated by Statistics Denmark based on information about the number of occupational accidents from the Danish Working Environment Authority. The number of occupational accidents is related to the number of full-time employees.

Last updated: 04-07-2025
8.8.1b
Occupational accidents, by sex

Total number of occupational accidents per 100 full-time equivalent employees, by sex

Total number of accidents at work per 100 full-time equivalent employees
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Total1.881.881.861.851.831.982.613.621.951.89
Men2.112.062.062.062.032.052.482.782.082.05
Women1.691.681.671.691.671.982.854.741.871.78

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Definition
The indicator is calculated by Statistics Denmark based on information about the number of occupational accidents from the Danish Working Environment Authority. The number of occupational accidents is related to the number of full-time employees.
Last updated: 04-07-2025
8.8.2
Employees' assessment of the working environment

Employees' assessment of the prioritisation of the working environment by the workplace

. Employees¿ assessment of the prioritisation of the working environment by the
Unit: Per cent
Unit: Per cent
20142016201820212023
Not at all6.97.26.02.72.9
Slight degree20.721.019.39.411.0
Some degree48.147.948.045.643.8
High degree24.423.926.733.532.2

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Definition

The figures show how employees assess the extent to which their workplace prioritizes the working environment. Participants in the survey were asked the following question: “Does your workplace prioritize the prevention of work environment related problems?”

Until 2020, there were four response options:
1: To a high degree
2: To some degree
3: To a low degree
4: Not at all

From 2021, the response option “neither nor” was added. This means that data from 2021 onwards are not directly comparable with data from previous years. The share who responded “neither nor” was 8.8 percent in 2021 and 10.1 percent in 2023. The survey is conducted every two years.

Source: National Monitoring of the Working Environment among Employees, prepared by the Danish Working Environment Authority

 
Last updated: 02-03-2026
8.8.3a
Stress experienced

Frequency of stress experienced in the past two weeks

Frequency of stress experienced in the past two weeks
Unit: Per cent
Unit: Per cent
20142016201820212023
Always2.32.72.22.43.4
Often12.212.911.412.014.3
Sometimes27.327.524.924.026.4
Seldom33.132.031.831.130.8
Never25.124.929.830.425.2

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Definition

The data shows the proportion of respondents that felt stressed due to work in the past two weeks.

Source: Danish Working Environment Authority.

Last updated: 02-03-2026
8.8.3b
Main sources of stress

Main sources of stress for those who 'always' feel stressed

Main sources of stress for those who ¿always¿ feel stressed
Unit: Per cent
Unit: Per cent
20142016201820212023
Work only43.242.039.334.535.3
Private life only10.111.613.59.89.5
Both work and private life46.746.447.255.755.2

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Definition

The figures show the development of sources of stress among individuals who reported feeling "always" stressed in 2014, 2016 and 2018. In 2021 and 2023, the group was expanded to also include respondents who stated that they feel stressed "often" or "always".

Source: Danish Working Environment Authority.

Last updated: 13-02-2025
8.9.1a
Hotels and resorts with Green Key certification - number

Number of hotels and resorts with Green Key certification

Hotels and Holiday resorts
Unit: Number
Unit: Number
2019M012019M022019M032019M042019M052019M062019M072019M082019M092019M102019M112019M122020M012020M022020M032020M042020M052020M062020M072020M082020M092020M102020M112020M122021M012021M022021M032021M042021M052021M062021M072021M082021M092021M102021M112021M122022M012022M022022M032022M042022M052022M062022M072022M082022M092022M102022M112022M122023M012023M022023M032023M042023M052023M062023M072023M082023M092023M102023M112023M122024M012024M022024M032024M042024M052024M062024M072024M082024M092024M102024M112024M12
Hotels and holiday resorts with Green key-cerfitication120120120121121121121121121120119119141142142143144145145145145144144143158158159160159159158159159158157157157163166167168168165168168167167167174178178178178178177178177177176176191193194194194194194194194194194194
Hotels and holiday resorts witout Green key-certification451458479506523526526531528509488486442448490517535537540542545529496490451456484513529530527532530520486478439451488512525535534535534523495488449471501526535536535535533517490483431450486514524525523528528514482477

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Definition

The data shows the development in the number of hotels and resorts with Green Key certification for each month. Green Key is an internationally recognized certification program for tourist facilities. The program assesses 13 main criteria. All Green Key members are continuously reviewed, approved, and monitored by a jury consisting of the Danish Outdoor Council and HORESTA, while the Danish Environmental Protection Agency participates as an observer with influence on procedures and criteria.

Source: Statistics Denmark, table: TURIST3.

Last updated: 30-04-2025
8.9.1b
Hotels and resorts with Green Key certification - per cent

Proportion of hotels and resorts with Green Key certification

Number of hotels and resorts with Green Key certification
Region: Total  |  Unit: Per cent
Unit: Per cent
2019M012019M022019M032019M042019M052019M062019M072019M082019M092019M102019M112019M122020M012020M022020M032020M042020M052020M062020M072020M082020M092020M102020M112020M122021M012021M022021M032021M042021M052021M062021M072021M082021M092021M102021M112021M122022M012022M022022M032022M042022M052022M062022M072022M082022M092022M102022M112022M122023M012023M022023M032023M042023M052023M062023M072023M082023M092023M102023M112023M122024M012024M022024M032024M042024M052024M062024M072024M082024M092024M102024M112024M12
Total21.020.820.019.318.818.718.718.618.619.119.619.724.224.122.521.721.221.321.221.121.021.422.522.625.925.724.723.823.123.123.123.023.123.324.424.726.326.525.424.624.223.923.623.923.924.225.225.527.927.426.225.325.024.924.925.024.925.526.426.730.730.028.527.427.027.027.126.926.927.428.728.9

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Definition

The data shows the development in the proportion of hotels and resorts with Green Key certification for each month. Green Key is an internationally recognized certification program for tourist facilities. The program assesses 13 main criteria. All Green Key members are continuously reviewed, approved, and monitored by a jury consisting of the Danish Outdoor Council and HORESTA, while the Danish Environmental Protection Agency participates as an observer with influence on procedures and criteria.

Source: Statistics Denmark, table: TURIST3.

Last updated: 25-07-2025
Goal 9: Industry, innovation and infrastructure
Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
9.1.1
Total electricity generation

Total electricity generation, by fuel type

Total electricity generation
Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Wind power48.941.947.645.854.756.848.654.257.5
Coal24.629.020.021.611.210.713.212.67.5
Biomass12.914.218.317.418.018.324.519.117.5
Natural gas6.27.26.26.36.43.53.61.91.9
Solar power2.12.42.43.13.34.14.06.310.0
Biogas1.71.92.22.52.83.02.92.62.6
Waste, not biodegradable2.62.32.32.32.72.72.42.42.2
Oil1.11.10.90.90.80.90.80.90.7
Hydropower0.10.10.10.10.10.10.10.00.1

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Definition

The data shows the total electricity generation, by type of fuel used.

Source: Danish Energy Agency.

Last updated: 11-07-2025
9.1.2
Punctuality of long-distance, regional and local trains

Punctuality of long-distance, regional and local trains

Punctuality of long-distance, regional and local trains
Unit: Per cent
Unit: Per cent
201620172018201920202021202220232024
DSB74.179.577.979.186.678.773.272.976.8
GoCollective (formerly Arriva)93.994.593.993.292.387.786.087.486.2
Nordjyske Jernbaner....93.791.794.595.195.495.792.6

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Definition

The data shows the trend in the achievement of punctuality of three train operators measured as arrival within three minutes of the scheduled time. Punctuality is calculated by taking an average of data calculated on a monthly basis.

Source: Rail Net Denmark.

Last updated: 11-07-2025
9.1.3
Experienced quality and efficiency of the infrastructure in Denmark

Experienced quality and efficiency of the infrastructure in Denmark

Experienced quality and efficiency of the infrastructure in Denmark
Unit: Score
Unit: Score
20182019
Perceived quality of the road network5.55.6
The efficiency of the railway network4.34.5
The efficiency of aviation5.85.8
The efficiency of ports5.75.8
The quality of electricity5.35.3
Reliability of water supply6.86.7

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Definition

The data shows the perceived quality and efficiency of the infrastructure in Denmark. Data are based on a survey of business leaders across industries. The scale goes from 0-7, where 0 is the worst and 7 is the best.

Source: World Economic Forum.

Last updated: 15-12-2021
9.2.1
Employed in businesses

Proportion employed in businesses by sector

x
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Agriculture, forestry and fishing1.61.51.61.61.51.61.51.51.51.5
Mining and quarrying0.20.20.20.20.20.20.20.20.20.2
Manufacturing12.112.112.112.112.112.011.911.911.912.0
Electricity, gas, steam and air conditioning supply0.40.40.40.40.50.50.50.50.60.6
Water supply, sewerage and waste management0.50.50.50.50.50.50.50.50.50.5
Construction5.96.06.26.36.46.56.76.76.66.6
Wholesale and retail trade14.114.014.114.014.013.913.713.613.413.3
Transportation5.45.45.35.35.35.14.95.15.15.1
Accommodation and food service activities2.72.82.93.03.02.72.83.13.13.1
Information and communication3.94.04.14.14.24.34.44.54.54.4
Financial and insurance3.43.33.33.33.43.43.43.33.43.4
Real estate activities1.41.41.41.41.41.41.41.51.41.4
Knowledge-based services5.65.85.85.95.95.96.16.36.56.7
Travel agent, cleaning, and other operationel services5.15.25.35.45.45.35.35.45.35.3

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Definition

The data shows the development in the proportion of persons employed in businesses, i.e. both those with main jobs and various side jobs, calculated as full-time equivalent employees, by sector, in Denmark.

Source: Statistics Denmark, table: ERHV2.

Last updated: 28-01-2026
9.2.2
People employed in green goods and services

Proportion of people employed in green goods and services

x
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Agriculture, forestry and fishing9.210.410.911.713.814.114.414.013.213.0
Manufacturing11.612.013.212.612.211.911.811.913.213.9
Electricity, gas, steam and air conditioning supply25.323.727.126.528.630.131.535.536.336.8
Water supply, sewerage and waste management78.375.674.074.774.275.373.974.375.272.5
Construction10.410.310.010.19.910.310.910.810.610.5
Knowledge-based services9.89.48.98.48.28.48.68.39.99.5

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Definition

The data shows the development in the proportion of employees producing or delivering green goods and services. Green goods and services are products or services that have a direct environmental or resource-saving purpose, for example, wastewater treatment and production of wind turbines, as well as products that are clean and/or resource-efficient, so that they pollute and/or consume less than other products with the same main purpose, for example, production of low-energy houses.

Source: Statistics Denmark.

Last updated: 27-02-2026
9.4.1
Emissions of CO2e

Emissions of CO2e relative to gross value added, excluding burning of biomass, by sector

Emissions of CO2e relative to gross value added, excluding burning of biomass, by sector
x
Type of emission: Greenhouse gases total, excl. CO2 from biomass  |  Unit: Tonnes per m DKK
Unit: Tonnes per m DKK
2015201620172018201920202021202220232024
A Agriculture, forestry and fishing493.4588.1506.8505.3481.0474.0440.8481.2609.6605.0
B Mining and quarrying146.9128.1154.7161.3167.1168.6172.6215.4195.1185.9
C Manufacturing23.122.822.021.420.121.619.716.413.211.0
D_E Utility services585.8661.3614.7517.9446.3472.2499.1422.3422.7381.3
F Construction15.214.614.214.915.015.314.915.917.919.0
G_I Trade and transport etc.122.9128.2126.1126.9126.8106.5118.1109.3109.3124.8
J Information and communication1.21.11.11.00.90.80.90.80.70.6
K Financial and insurance0.60.60.60.60.60.50.50.60.60.5
L Properties and rentals0.60.60.60.50.50.50.50.50.50.5
M_N Other business services2.32.12.12.22.22.32.22.22.01.9

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Definition

The indicator shows greenhouse gas emissions (CO2e) in relation to gross value added in each sector. The figures are expressed as tons of CO2e per million DKK gross value added, providing a measure of how climate-intensive economic activity is across sectors. A higher value indicates a greater climate impact per unit of economic output, while a lower value indicates a smaller climate impact. Biomass combustion is excluded, so the values reflect only other greenhouse gas emissions. Gross value added is calculated in 2020 prices, chain-linked values, meaning that price developments (inflation) are adjusted for, allowing comparisons over time.

Source: Statistics Denmark, table DRIVHUS and NABP10.

Last updated: 19-09-2025
9.4.2
Emissions of CO2e from transport

Annual emissions of CO2e from transport

Greenhouse Gas Accounts (in CO2 equivalents)
Unit: 1,000 tonnes
Unit: 1,000 tonnes
2015201620172018201920202021202220232024
Greenhouse gases total, excl. CO2 from biomass
Total91 98197 42996 48997 19993 63582 24190 20885 47181 20586 127
Of which: International transport by Danish ships, planes and vehicles39 98743 61344 39346 04846 73339 02246 01042 26241 38048 006
H Transportation44 06447 80548 57750 56851 07842 32449 50646 15645 37852 101
49000 Land transport and transport via pipelines1 9071 8761 8741 9261 8711 9392 0051 9461 895..
490010 Passenger rail transport, interurban254259249224222195182177171..
490020 Transport by suburban trains, buses and taxi operation, etc.250210190192187148152163172..
490030 Freight transport by road and via pipeline1 4031 4081 4351 5101 4621 5961 6701 6071 551..
50000 Water transport38 66441 74742 86944 78145 45938 37945 70041 54240 133..
51000 Air transport3 1863 8603 5233 5523 3491 4451 1631 9312 656..
Greenhouse gases total, incl. CO2 from biomass
Total106 124112 659113 254113 774110 34299 278110 250103 18998 801104 415
Of which: International transport by Danish ships, planes and vehicles39 98743 61344 39346 04846 73339 02246 01042 26241 38048 006
H Transportation44 17947 92748 69950 69151 20542 46549 65646 29545 50052 214
49000 Land transport and transport via pipelines2 0061 9811 9792 0321 9802 0602 1302 0601 995..
490010 Passenger rail transport, interurban254259249224222195182177171..
490020 Transport by suburban trains, buses and taxi operation, etc.267225203205200159164175183..
490030 Freight transport by road and via pipeline1 4851 4981 5261 6041 5571 7061 7831 7091 641..
50000 Water transport38 66441 74742 87044 78145 46038 37945 70041 54240 133..
51000 Air transport3 1863 8613 5233 5523 3491 4451 1631 9312 656..
The Greenhouse Gas Accounts covers the Danish economy. There are differences from the reporting to UN (UNFCCC) in particular from international transport. The differences between the reporting for UNFCCC and the Greenhouse Gas Account are presented in the bridge table MRO2. In the most recent year, figures for fluorated gasses are not available. In the total the value from the previous year is used.

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Definition

The data shows the development in annual emissions of CO2e. The figure shows the development in annual emissions of CO2e in the transport sector disaggregated by different types of transport. The figures are exclusive of biomass. The tables shows - in addition to the data from the figure - also the development in annual CO2e emissions from the total transport sector and from the international transport by Danish ships, aircraft and land vehicles as well as the total CO2e emissions.

Source: Statistics Denmark, table DRIVHUS.

Last updated: 15-09-2025
9.5.1
Business sector expenditure on research

Development in business sector expenditure on own research and development, by sector

x
Unit: m DKK
Unit: m DKK
2017201820192020202120222023
Enterprises, total40 75642 18741 57142 49444 60249 28653 340
Manufacturing22 892..20 39323 89923 71129 67932 170
Construction36..3022524354
Wholesale and retail trade2 375..1 9562 0021 8183 0033 483
Transport38..394740156184
Hotels, restaurants17..1079013
Information og communication3 039..3 9953 3882 9862 4602 519
Financial and insurance activities4 920..6 0595 5694 7604 1373 144
Business activity6 364..8 8607 17110 8519 31110 854
Other industries1 074..228387376498920

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Definition

The data show the development in business sector investments in own research and development, broken down by industry.

Source: Statistics Denmark, tableFORSK01.

Last updated: 12-11-2025
9.5.2
Innovative enterprises

Proportion of innovative enterprises, by sector

Innovative enterprises
Unit: Per cent
Unit: Per cent
Innovative totalProduct innovativeProcess innovative
2020
MAIN INDUSTRIES (DB07)482543
Manufacturing533742
Construction36936
Wholesale and retail trade492840
Transport331029
Hotels, restaurants421239
Information og communication755569
Financial and insurance activities622760
Business activity502546
Other industries451345
2022
MAIN INDUSTRIES (DB07)462441
Manufacturing543748
Construction25425
Wholesale and retail trade482542
Transport22122
Hotels, restaurants661966
Information og communication644851
Financial and insurance activities582454
Business activity402637
Other industries543450
2024
MAIN INDUSTRIES (DB07)482541
Manufacturing664353
Construction36936
Wholesale and retail trade462739
Transport27726
Hotels, restaurants421636
Information og communication535145
Financial and insurance activities531747
Business activity512343
Other industries441937
With the publication of 2024 minor revisions have been made to previous years.

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Definition

The data shows, for the business sectors, the proportion of enterprises that were innovative, either product-only innovative, process-only innovative or both.

Source: Statistics Denmark, table: INN22.

Last updated: 12-12-2025
9.5.3
Specialisation in environment-related technologies

Denmark's relative specialisation in environment-related technologies

x
Region: Total  |  Unit: Index
Unit: Index
20152016201720182019202020212022
Total1.652.001.752.052.021.911.831.44

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Definition

Denmark’s relative specialization in environment-related technologies shows how strong the country is in green innovation compared to the rest of the world. The index is calculated as the ratio between the share of environment-related inventions in Denmark and the corresponding share globally. A value of 1 indicates that Denmark is on par with the world average, while a value above 1 reflects a relative strength in green technologies.
Source: OECD

Last updated: 23-03-2026
9.c.1
Broadband coverage in Denmark

Broadband coverage in Denmark

x
Region: Total  |  Unit: Per cent
Unit: Per cent
20152016201720182019202020212022202320242025
Total8488909193949696989999

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Definition

The data shows the trend in broadband coverage in Denmark. The coverage of broadband is mapped by comparing addresses and coverage areas with housing types – dwellings and holiday homes – using the Danish building and housing register. A distinction is made between broadband connections offered to private and business customers. If several speeds are registered, the highest speed is used.

Source: Danish Energy Agency.

Last updated: 24-07-2025
9.c.2
Online stores with an e-mark certificatio

Number of online stores with an e-mark certification

x
Region: Total  |  Unit: Number
Unit: Number
201520162017201820192020202120222023202420252026
Total1 8101 9361 9942 1152 2732 3552 5862 7212 6432 4102 0061 752

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Definition

The figures show the development in the number of e-label certified online shops. The e-label is a non-profit organization founded in 2000 by Danish Chamber of Commerce, Danish IT, the Danish Consumer Council THINK, FDIH, Confederation of Danish Industry, Finance Denmark, and HK. The e-label certification scheme was established with the aim of ensuring security and trust for both consumers and businesses wishing to operate webshops.

Source: e-label.

Last updated: 17-02-2026
Goal 10: Reduced inequalities
Reduce inequality within and among countries
10.1.1
The Palma ratio

Trends in the Palma ratio and the average equivalent disposable income, by deciles for the whole population

x
Unit: -
2015201620172018201920202021202220232024
Palma coefficient4.174.194.284.214.354.384.544.444.634.59
10. decil607 665.00615 554.00641 188.00648 231.00688 377.00719 999.00779 827.00769 052.00834 074.00852 980.00
5.-9. decil280 073.00285 923.40293 559.40301 797.00309 133.20324 311.80337 415.60339 147.00348 955.00359 874.00
1.-4. decil145 792.00146 822.00149 916.25153 798.75158 384.50164 370.00171 690.50173 142.00180 047.00185 770.00

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Definition

The Palma coefficient is a measure of inequality in a country’s income distribution. It is calculated by dividing the average income of the top 10% of earners by the average income of the bottom 40%.

Source: Statistics Denmark, table IFOR31.

Last updated: 12-12-2025
10.2.1
Candidates for elections - sex

Proportion of nominated and elected candidates for parliamentary, municipal and regional elections, by sex

Proportion of nominated and elected candidates for parliamentary, municipal and regional elections, by sex
x
Unit: Per cent
Unit: Per cent
201320152017201920212022
Election to the Parliament: Listed men..68.7..65.7..61.6
Election to the Parliament: Listed women..31.3..34.3..38.4
Election to the Parliament: Elected men..62.9..61.1..56.6
Election to the Parliament: Elected women..37.1..38.9..43.4
Election to the municipality councils: Listed men69.2..68.2..65.9..
Election to the municipality councils: Listed women30.8..31.8..34.1..
Election to the municipality councils: Elected men70.3..67.1..64.1..
Election to the municipality councils: Elected women29.7..32.9..35.9..
Election to the region councils: Listed men71.2..68.3..63.9..
Election to the region councils: Listed women28.8..31.7..36.1..
Election to the region councils: Elected men60.5..62.0..49.8..
Election to the region councils: Elected women39.5..38.0..50.2..
All population: Men49.649.749.849.849.749.8
All population: Women50.450.350.250.250.350.2

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Definition

The data shows the development in nominated and elected candidates for the parliamentary elections and for the municipal and regional elections, by sex.

Source: Statistics Denmark, table: LIGEDI0 (parliamentary election), LIGEDI2 (municipal election) og LIGEDI3 (regional election).

Last updated: 10-01-2023
10.2.2
Candidates for elections - ancestry

Proportion of nominated and elected candidates and composition of the population, by ancestry

Proportion of nominated and elected candidates and composition of the population, by ancestry
x
Unit: Per cent
Unit: Per cent
201320152017201920212022
Election to the Parliament: Listed persons of Danish origin..96.2..96.4..94.4
Election to the Parliament: Listed immigrants and descendants..3.8..3.6..5.6
Election to the Parliament: Elected persons of Danish origin..97.7..97.1..98.9
Election to the Parliament: Elected immigrants and descendants..2.3..2.9..1.1
Election to the municipality councils: Listed persons of Danish origin95.4..95.0..94.3..
Election to the municipality councils: Listed immigrants and descendants4.6..5.0..5.7..
Election to the municipality councils: Elected persons of Danish origin96.3..96.0..95.2..
Election to the municipality councils: Elected immigrants and descendants3.7..4.0..4.8..
Election to the region councils: Listed persons of Danish origin95.5..95.8..94.1..
Election to the region councils: Listed immigrants and descendants4.5..4.2..5.9..
Election to the region councils: Elected persons of Danish origin95.6..96.6..95.1..
Election to the region councils: Elected immigrants and descendants4.4..3.4..4.9..
All population: Persons of Danish origin88.988.286.786.285.784.8
All population: Immigrants and descendants11.111.813.313.814.315.2

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Definition

The data shows the development in nominated and elected candidates for the parliamentary elections and for the municipal and regional elections, by persons of Danish origin, immigrants and descendants. The figure also shows the development in the composition of the population by ancestry.

Source: Statistics Denmark.

Last updated: 10-01-2023
10.2.3
Candidates for elections - education

Distribution of candidates nominated for the Danish Parliament and the population aged over 15, by highest completed level of education

Distribution of candidates nominated for the Danish Parliament and the population aged over 15, by highest completed level of education
x
Unit: Per cent
Unit: Per cent
201520192022
Listed to the Parliament
H10 Primary education6.37.17.7
H20 Upper secondary education11.611.013.8
H30 Vocational Education and Training (VET)13.816.013.6
H40 Short cycle higher education5.15.14.9
H50 Vocational bachelors educations21.718.919.3
H60 Bachelors programs8.37.36.5
H70 Masters programs31.432.831.2
H80 PhD programs1.51.62.4
H90 Not stated0.40.20.6
All population
H10 Primary education27.024.824.1
H20 Upper secondary education10.110.911.1
H30 Vocational Education and Training (VET)30.729.128.2
H40 Short cycle higher education4.75.15.1
H50 Vocational bachelors educations14.215.215.5
H60 Bachelors programs2.42.42.6
H70 Masters programs8.510.411.1
H80 PhD programs0.80.91.0
H90 Not stated1.71.21.1

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Definition

The data shows the distribution of candidates nominated for the Danish Parliamentary elections, by highest completed level of education, and the distribution in the population in general.

Source: Statistics Denmark.

Last updated: 10-01-2023
10.2.4
Members of a voluntary association

Proportion of the population being a member of a voluntary association, by ancestry

x
Unit: Per cent
Unit: Per cent
20162017201820192020202120222024
Persons of Danish origin8177797878756981
Immigrants5455575453474354
Descendant5452605559534661

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Definition

The data shows the trends in the proportion of people with Danish ancestry, immigrants and descendants of immigrants who responded that they belonged to an association or a club. The question was: ‘There are many associations in Denmark, for example trade unions, sports clubs, social clubs, residents’ associations, cultural and religious associations, consumer associations such as Coop and charitable associations such as the Red Cross. Are you a member of an association?’ The population groups descendants of immigrants and immigrants were put together in one category in 2016, which is why the proportion is the same for these two groups in 2016.

Source: Ministry of Immigration and Integration.

Last updated: 19-09-2025
10.3.1
Income as child and adult

Relationship between income decile in the childhood home and income decile for 35-year-olds

x
Unit: Per cent
Unit: Per cent
First decilSecond decilThird decilFourth decilFifth decilSixth decilSeventh decilEigth decilNinth decilTenth decil
2015
First decil16.2514.0011.969.749.588.808.367.497.366.47
Second decil15.1913.8412.2410.639.938.968.047.717.266.19
Third decil12.8713.2712.4411.4010.558.968.937.677.326.58
Fourth decil10.0610.8511.5711.8711.5310.189.359.118.397.08
Fifth decil9.8910.6810.2010.8110.7411.1810.2810.068.657.50
Sixth decil7.869.6910.6310.4611.4410.8510.7810.139.378.80
Seventh decil7.937.869.2110.4511.0710.7610.9111.1511.359.32
Eigth decil7.047.198.679.419.3111.2512.3311.6212.0311.14
Ninth decil6.476.547.588.378.8710.8311.1112.4413.5914.20
Tenth decil6.436.085.516.866.978.219.9312.6314.6822.70
2016
First decil16.5214.8811.6010.4510.378.918.096.436.176.57
Second decil15.3715.0612.1311.129.958.577.526.657.266.37
Third decil13.0212.6811.7111.2810.1310.039.288.177.606.09
Fourth decil11.1811.6811.5210.8510.1510.639.648.858.576.95
Fifth decil9.1210.4511.3410.8010.7210.6110.1310.059.187.60
Sixth decil8.298.6910.3310.9610.6310.6811.2010.849.568.82
Seventh decil6.637.989.939.8611.2410.5310.8811.7011.309.95
Eigth decil7.406.988.499.6610.1710.9811.5411.3411.9511.50
Ninth decil6.196.277.088.599.2810.7010.8013.2213.5314.33
Tenth decil6.255.345.886.437.368.3510.9212.7614.8821.81
2017
First decil17.0713.7311.3910.519.268.317.558.806.287.09
Second decil16.5714.4912.0611.499.228.868.276.786.845.43
Third decil12.3213.3511.8610.7911.259.628.668.257.436.46
Fourth decil10.7111.0711.9811.0910.6710.3310.458.608.416.68
Fifth decil8.5810.6911.4011.3610.6710.4510.159.508.688.50
Sixth decil8.559.529.7010.4711.0711.4310.759.7810.218.53
Seventh decil7.118.909.4010.379.5811.4711.1911.1910.7310.06
Eigth decil6.447.038.869.4011.0310.2911.5712.1411.5511.69
Ninth decil6.006.407.337.959.4410.4511.3912.3014.0114.73
Tenth decil6.644.816.006.567.818.8010.0212.6615.8620.85
2018
First decil17.6714.1711.5611.159.539.067.046.616.406.81
Second decil16.1214.4212.5210.889.518.378.087.287.085.75
Third decil12.4013.1711.6410.7610.1910.089.478.677.516.12
Fourth decil10.7411.7211.7610.9811.749.889.359.028.266.55
Fifth decil8.4910.0211.0911.2711.0510.9610.459.949.187.55
Sixth decil7.799.2910.1710.1711.2111.2510.7210.0010.069.35
Seventh decil7.367.499.3710.0810.7411.2911.6011.2511.279.55
Eigth decil6.527.348.209.5910.2711.0711.8411.9511.9711.25
Ninth decil6.526.507.328.128.8410.2511.0912.9713.6014.79
Tenth decil6.385.876.387.006.937.7910.3712.3114.6722.29
2019
First decil19.0714.1712.1410.868.788.137.596.956.555.75
Second decil16.1314.8212.2210.4610.009.197.877.136.415.77
Third decil12.1012.9212.5212.0810.609.019.258.197.096.23
Fourth decil10.5012.0411.1612.2610.869.749.688.668.256.85
Fifth decil8.1310.2810.8611.0611.6210.5610.269.669.238.35
Sixth decil8.339.019.3310.2411.1211.6811.3210.6810.028.27
Seventh decil6.818.369.749.869.4811.8011.7211.0811.0210.14
Eigth decil6.617.358.259.0910.4011.1011.0412.4012.5811.18
Ninth decil6.375.997.817.779.1310.4611.3012.8813.6414.64
Tenth decil5.935.075.976.338.018.349.9612.3815.2122.80
2020
First decil18.0515.4612.5410.548.838.237.216.846.236.08
Second decil15.5015.5012.2311.2310.157.948.027.156.465.83
Third decil12.8113.5911.5211.0910.319.119.138.487.466.50
Fourth decil10.8610.9611.3610.7111.3810.3610.198.717.967.50
Fifth decil8.599.5811.2511.2511.2310.8610.139.839.407.88
Sixth decil7.888.179.7811.0311.2811.5911.1910.759.758.57
Seventh decil7.317.838.8410.0010.5411.8211.4411.3111.029.90
Eigth decil6.406.908.759.449.8811.1911.4411.6712.8611.46
Ninth decil6.346.507.488.489.3310.1911.0913.2913.2314.07
Tenth decil6.255.526.256.237.088.7110.1511.9815.6322.21
2021
First decil20.2715.4211.779.568.838.617.356.346.295.56
Second decil15.9914.4812.4411.1810.028.188.376.796.735.82
Third decil12.8711.7311.9611.7111.189.159.548.267.625.99
Fourth decil10.6211.7511.2511.3610.3410.129.339.178.597.47
Fifth decil8.8010.1711.1211.6410.6411.2710.689.868.117.72
Sixth decil7.709.289.9710.5410.9711.3110.6710.999.489.09
Seventh decil6.567.729.1510.4111.0112.2510.5211.4911.239.65
Eigth decil6.367.258.558.8910.1010.3411.8111.8612.5112.33
Ninth decil5.476.947.318.299.1910.4311.1813.3713.5614.28
Tenth decil5.375.246.496.427.728.3510.5611.8815.8822.08
2022
First decil19.0414.6411.6810.228.828.387.926.796.216.30
Second decil15.4114.7112.0511.329.919.577.477.306.305.97
Third decil12.3812.7212.5411.3710.6610.289.268.006.855.95
Fourth decil9.8611.4611.7910.9311.1910.539.778.988.317.17
Fifth decil9.0210.3010.4111.1011.4510.6110.7910.228.877.25
Sixth decil8.299.0910.3710.5511.1310.6610.6210.2210.208.87
Seventh decil7.128.429.3310.6810.7010.9911.6810.9310.779.38
Eigth decil6.487.019.029.0510.1110.8311.4312.4012.2111.46
Ninth decil6.436.646.838.329.119.8911.2412.7613.6015.17
Tenth decil5.995.005.996.446.928.299.8212.4016.6822.47
2023
First decil18.7914.1412.1710.309.178.757.196.956.795.74
Second decil15.4214.0011.4711.359.999.398.107.406.796.08
Third decil12.4713.6012.1010.7510.169.889.297.937.616.22
Fourth decil11.0011.1411.7311.5810.5810.629.748.268.566.79
Fifth decil8.7610.3011.2110.7510.9610.7010.399.659.248.03
Sixth decil7.569.4110.2310.7610.9310.4911.1110.0810.289.15
Seventh decil7.318.488.4310.2311.1210.9111.3012.4510.399.38
Eigth decil6.776.748.809.7310.1611.0911.1912.2612.0511.21
Ninth decil6.276.237.548.339.119.9211.3112.8013.3015.19
Tenth decil5.645.946.326.227.818.2810.3712.2215.0022.21
2024
First decil19.7413.6612.119.668.778.247.606.926.716.58
Second decil14.9514.4512.1211.429.869.348.077.356.905.54
Third decil12.0413.3812.6410.9510.389.899.397.877.176.29
Fourth decil11.0310.8511.4712.0410.5610.289.648.598.427.12
Fifth decil8.6610.3110.4011.3411.4510.1010.2310.479.287.77
Sixth decil8.009.0610.4311.7711.2811.4710.619.699.228.45
Seventh decil7.258.349.639.8410.5510.3011.7011.5911.109.71
Eigth decil6.237.638.429.0110.4811.3810.7512.9112.1911.00
Ninth decil6.566.537.327.799.3910.2111.9512.2613.6814.31
Tenth decil5.535.795.486.207.258.7910.0512.3715.3423.21

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Definition

The data shows the distribution of income deciles for 35-year-olds according to the income decile of their childhood home at age 10. The figure shows only the most recent year. The x-axis of the figure shows the persons the income decile as 35-year-old while the values on the y-axis shows the persons as a 10-year-old.

Source: Statistics Denmark and Eurostat.

Last updated: 12-12-2025
10.3.2
Hourly earnings

Average, standard hourly earnings, by sex

Earnings
Sector: All sectors  |  Components: STANDARDIZED HOURLY EARNINGS  |  Unit: DKK
Unit: DKK
2015201620172018201920202021202220232024
Men and women, total246.83250.12255.43260.31265.65271.79277.84286.73296.75315.92
Men264.01266.81272.11276.90282.48287.89295.06304.11314.88336.52
Women228.15231.23236.58241.54246.68253.60258.51266.96276.08292.79

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Definition

The data shows the trends in average standard hourly earnings, by sex. The standard hourly wage indicates approximately the wage that has been agreed or the wage that the worker receives for each normal hour he or she works. The standard hourly earnings are independent of the number of hours of absence and overtime hours.

Source: Statistics Denmark, table: LONS50.

Last updated: 29-09-2025
10.7.1
Immigration - work

Number of persons who immigrate to Denmark annually to work, by type of work permit and sex

Immigrations (year)
Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Work
Men3 8924 0783 6983 7993 9692 4263 2715 3825 4195 6705 571
Women2 9213 1303 0763 2993 2502 0552 8134 6043 9734 0853 525
EU/EEA, Wage-earners
Men11 30311 24111 92812 66011 3209 38314 15215 52612 89211 56910 845
Women3 6393 9144 1024 2284 3593 6835 2966 1295 1944 6524 289
Data on immigrations by persons who do not hold a Danish or Nordic citizenship. Approximately 14 percent of the residence permits are imputed and the statistics are therefore best suited for analysis of the development of immigrations by residence permit for groupings of citizenships or among citizensships with a larger group of immigrated. Data for 2023 has been revised 25 March 2025 with few changes.

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Definition

The data shows the development in the number of people who immigrate to Denmark annually to work, by sex. Data are disaggregated by ’EU/EEA, permit’, which includes EU citizens working in Denmark, and ’Work permit’, which includes all non-EU citizens who hold a visa permitting them to live and work in Denmark.

Source: Statistics Denmark, table VAN66KA.

Last updated: 26-03-2026
Goal 11: Sustainable cities and communities
Make cities and human settlements inclusive, safe, resilient and sustainable
11.1.1
Financial burden of the cost of housing

Perceived financial burden of the cost of housing

Housing burden: Percentage of persons
Unit: Per cent
Unit: Per cent
20152016201720182019202020212022202320242025
Heavy burden
Total999879810131411
First quintile1617181912171815232418
Second quintile111110989813161617
Third quintile889678610121511
Fourth quintile746676599107
Fifth quintile46332335683
Some burden
Total3029292828282834383733
First quintile3230323036353341403940
Second quintile3030292629263337414138
Third quintile3430303328312934394134
Fourth quintile3131282724252632403633
Fifth quintile2422252222222026282722
No problem
Total6162626465636456494956
First quintile5253515152485044373842
Second quintile5959616563645950444346
Third quintile5863616165616556484455
Fourth quintile6364676768696959515460
Fifth quintile7272727576757669666475
Only one adult in the household has been interviewed. The answers given are assumed to apply for all household members - including children. The majority of "Under 20 year olds" are children living at home. Data are based on a survey; hence there is some statistical uncertainty.

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Definition

The data shows the development in the proportion of the population that perceives cost of housing to be a heavy burden, somewhat of a burden or no problem, by income groups divided into five quintiles. Only one adult per household was interviewed. Answers are assumed to cover all household members. The figures are based on a sample and thus subject to some statistical uncertainty.

Source: Statistics Denmark, table: SILCA4B.

Last updated: 12-12-2025
11.1.2
Financial burden of housing

Financial burden of housing

x
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Total16.516.015.815.014.512.913.415.315.215.4
First decil43.543.645.142.941.838.339.644.942.642.5
Second decil30.229.529.928.227.424.726.930.628.428.5
Third decil26.325.625.824.423.621.323.326.224.324.1
Fourth decil23.222.722.721.420.818.720.122.721.621.4
Fifth decil20.920.420.319.218.716.717.720.119.619.6
Sixth decil19.318.818.717.617.215.316.218.418.318.4
Seventh decil18.117.517.416.516.114.215.017.117.217.4
Eigth decil16.916.416.215.315.013.314.015.916.016.3
Ninth decil15.615.214.914.113.812.312.814.514.815.0
Tenth decil11.411.110.810.49.98.98.810.110.210.6

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Definition

The data shows the trend in the financial burden of the cost of housing for homeowners in Denmark. The financial burden of housing is calculated as the ratio between housing costs and disposable income. The housing costs include interest expenses and taxes, but not repayments of the principal part of home loans. The data are for private individuals who live in dwellings (houses and apartments) that they personally own and occupy.

Source: Statistics Denmark.

Last updated: 27-02-2026
11.2.1
Price of selected public transport services

Relative price of selected public transport services

Consumer price index (2025=100)
Unit: Index  |  Unit: -
2015M042015M052015M062015M072015M082015M092015M102015M112015M122016M012016M022016M032016M042016M052016M062016M072016M082016M092016M102016M112016M122017M012017M022017M032017M042017M052017M062017M072017M082017M092017M102017M112017M122018M012018M022018M032018M042018M052018M062018M072018M082018M092018M102018M112018M122019M012019M022019M032019M042019M052019M062019M072019M082019M092019M102019M112019M122020M012020M022020M032020M042020M052020M062020M072020M082020M092020M102020M112020M122021M012021M022021M032021M042021M052021M062021M072021M082021M092021M102021M112021M122022M012022M022022M032022M042022M052022M062022M072022M082022M092022M102022M112022M122023M012023M022023M032023M042023M052023M062023M072023M082023M092023M102023M112023M122024M012024M022024M032024M042024M052024M062024M072024M082024M092024M102024M112024M122025M012025M022025M032025M042025M052025M062025M072025M082025M092025M102025M112025M122026M012026M022026M03
00 Consumer price index, total82.8982.9082.8482.7982.5682.7382.7382.5182.4682.1382.6982.7482.8683.0483.1183.0382.7782.7582.9482.8582.8982.8583.5283.5683.7883.6983.5984.2784.0284.0784.1783.9383.6583.4084.0484.0284.4584.5784.5385.1984.8384.6184.8684.5984.3084.4884.9285.0085.2285.1984.9885.4685.1885.0185.3185.1485.0085.1185.5685.3385.2685.1385.2285.9085.6185.4685.6885.5685.3985.5686.0786.1186.4686.6586.7387.3187.1187.3888.1888.4788.0489.2990.1890.7692.2493.0893.8494.8894.8996.1297.1796.3195.7196.1597.0396.9197.1395.8296.1397.9097.2096.9697.2096.8696.4297.3097.8297.8297.8597.8697.8998.9998.5698.2198.7798.4698.2198.7599.8299.3399.3999.4499.69101.17100.52100.41100.89100.49100.1099.53100.54100.50
07.3.1 Passenger transport by railway80.7080.7080.7080.7080.7080.7080.7080.7080.7080.8981.8681.8681.8681.8681.8681.8681.8681.8681.8681.8681.8681.8683.4783.4783.4783.4783.4783.4783.4783.4783.4783.4783.4783.4783.6583.6584.3482.9782.9782.9782.9782.9782.9782.9782.9782.9784.4684.4684.4684.4684.4684.4684.4684.4685.5785.5785.5785.5787.0287.0287.0287.0287.0287.0287.0287.0287.0287.0287.0287.0288.0788.0788.0788.0788.0788.0788.0788.0788.0788.0788.0788.0787.7787.7787.7787.7787.7787.7787.7787.7787.7787.7787.7787.7790.8590.8590.8590.8590.8590.8590.8590.8590.8590.8590.8590.8598.6998.6998.6998.6998.6998.6998.6998.6998.6998.6998.6998.69100.12100.12100.12100.12100.12100.12100.12100.12100.12100.12100.12100.12101.30101.30
07.3.2.1 Passenger transport by bus and coach80.0980.0980.0980.0980.0980.0980.0980.0980.0980.0980.3780.3780.3780.3780.3780.3780.3680.3680.3680.3680.3680.3680.4780.4780.4780.5880.5880.5880.5880.5880.5880.5780.5780.6080.9580.9581.8681.8681.8681.8681.8781.8781.8781.8781.8781.9583.3583.3583.3583.3583.3583.3583.3983.3983.3983.3983.3983.4184.8884.8884.8884.8884.8884.8883.4883.4883.4883.5183.5183.5184.9384.9384.9384.9384.9384.9384.8784.8784.8784.8784.8784.9285.0685.0685.0685.0685.0685.0685.0785.0785.0785.0785.0785.0789.5589.5589.5589.5589.5589.5589.3689.3689.3689.3689.3689.3696.4596.4596.4596.4596.4596.4596.4596.4596.4596.4596.4596.9399.93100.27100.85100.3699.87100.34100.0799.88100.44100.56100.5199.63101.93101.91

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Definition

The data shows the trend in prices for selected public transport services relative to the general price trend. The base year is 2025.

Source: Statistics Denmark, table: PRIS01.

Last updated: 10-04-2026
11.2.2
People who can easily use bus and train services

Proportion of people who can easily use bus and train services, even when there are many passengers

Proportion of people who can easily use bus and train services, even when there
Unit: Per cent
Unit: Per cent
201220162020
People with disabilities766762
People without disabilities979086

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Definition

The data shows the development in the perception of how accessible public transport is for people with physical and mental disabilities compared with the perception of people without disabilities.

Source: The Danish Centre for Social Science Research (VIVE).

The survey is carried out every 4 to 5 years, and according to VIVE, the next set of data is expected to be available by the end of 2026.

Last updated: 20-01-2023
11.3.1
DGNB-certified buildings and urban areas

Number of DGNB-certified buildings and urban areas in Denmark by property type

Number of DGNB-certified buildings and urban areas in Denmark
Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Apartments and terrace houses
Silver0111245610194
Gold111363719206729
Platinum00000000012
Office buildings, hospitals, institutions and others
Silver08114216883
Gold493311561610346
Platinum10111000020

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Definition

The data shows the development in the number of buildings in Denmark that are certified under the DGNB scheme, by property type and certification level.The DGNB scheme is a certification scheme that assesses how sustainable a building is based on environmental, economic, and social factors. It is used to document and promote sustainable construction in Denmark.

Source: Green Building Council Denmark.

Last updated: 31-07-2025
11.3.2
Energy labels

Average labels across building categories

Average labels across building categories
Unit: Score
Unit: Score
2015201620172018201920202021202220232024
Single-family homes3.94.04.04.04.14.14.24.34.34.3
Apartment buildings3.93.94.04.04.14.14.24.34.44.4
Commercial3.63.73.73.73.83.83.94.04.14.1
Education, institutions, childcare etc.3.53.63.73.73.83.83.94.04.04.1

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Definition

The data shows the trends in the index score for the statutory energy labelling, by building categories. The indexed score is calculated by taking the average of the indexed energy label from 1 to 7, (labelled A to G in Denmark), where A = 7 (best), and G = 1 (worst).

Source: Danish Energy Agency.

Last updated: 31-07-2025
11.3.3
Green spaces

Green spaces calculated as a proportion of the total area, by region

Land
Unit: Part of total area (pct.)  |  Unit: -
2011201820212024
Region Hovedstaden
Sport facilities, burial grounds and other recreational areas1.81.91.91.9
Dry open natural habitats (heathers, dunes etc.)2.32.42.52.5
Wet open natural habitats (meadows, bogs etc.)4.85.05.15.2
Lakes4.54.54.54.6
Streams0.50.50.50.5
Region Sjælland
Sport facilities, burial grounds and other recreational areas0.60.60.60.6
Dry open natural habitats (heathers, dunes etc.)1.01.01.01.0
Wet open natural habitats (meadows, bogs etc.)3.94.04.04.1
Lakes1.21.31.31.3
Streams0.80.80.80.8
Region Syddanmark
Sport facilities, burial grounds and other recreational areas0.50.60.60.6
Dry open natural habitats (heathers, dunes etc.)2.52.62.62.6
Wet open natural habitats (meadows, bogs etc.)5.55.75.75.8
Lakes0.91.11.11.1
Streams1.11.21.21.2
Region Midtjylland
Sport facilities, burial grounds and other recreational areas0.40.50.50.5
Dry open natural habitats (heathers, dunes etc.)3.84.04.04.0
Wet open natural habitats (meadows, bogs etc.)5.05.15.25.3
Lakes1.01.01.11.1
Streams0.90.90.90.9
Region Nordjylland
Sport facilities, burial grounds and other recreational areas0.50.50.50.5
Dry open natural habitats (heathers, dunes etc.)6.56.76.86.8
Wet open natural habitats (meadows, bogs etc.)7.27.47.47.5
Lakes0.80.80.90.9
Streams1.01.01.01.0

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Definition

The data shows the development in the proportion of green space in the country’s five regions.

Source: Statistics Denmark, table: AREALDK2.

Last updated: 27-01-2026
11.4.1
Listed buildings

Number of listed buildings nationwide and in the five regions

Protected buildings
Type of building: Properties total  |  Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
All Denmark7 1967 1197 1757 1026 9846 9866 9906 9846 9656 8486 922
Region Hovedstaden3 0413 0173 0423 0342 9902 9842 9832 9762 9812 9052 919
Region Sjælland952941956955931931932932925910918
Region Syddanmark2 0682 0362 0371 9881 9621 9631 9641 9641 9561 9421 951
Region Midtjylland801781795781766768771772768760796
Region Nordjylland334344345344335340340340335331338
The statistics for 2023 and and moving forward is affected be a restructuring in the data supplier's administration system. The restructuring har resultet in a minor decrease in the number of buildings in the statistitics compared to the previous years as well as minor changes in the categories used.

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Definition

The data shows the development in the number of listed buildings in Denmark, in total and by region.

Source: Statistics Denmark, table: KFRED1.

Last updated: 02-03-2026
11.6.1
Quantity of household waste per capita

Quantity of household waste per capita, by region

x
Unit: Tonne
Unit: Tonne
2014201520162017201820192020202120222023
All Denmark0.580.590.600.590.570.600.620.600.550.54
Region Hovedstaden0.500.540.560.550.540.560.540.520.460.46
Region Sjælland0.630.680.670.690.660.680.730.660.630.61
Region Syddanmark0.650.660.660.610.600.650.630.640.590.59
Region Midtjylland0.590.570.600.600.570.590.620.590.540.55
Region Nordjylland0.560.540.500.490.510.530.650.670.590.60

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Definition

The data shows the development in the distribution of the quantity of household waste in tonnes per capita for the five regions and for the whole country. Household waste is defined as the following waste materials: organic waste, paper and cardboard, glass, plastic, metal and wood waste.

Source: Danish Environmental Protection Agency and Statistics Denmark.

Last updated: 04-02-2026
11.6.2a
Recycled household waste

Proportion of recycled household waste relative to the total amount of household waste, by region

Proportion of recycled household waste relative to the total amount of household
Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
All Denmark0.50.50.50.50.50.50.50.60.6
Region Hovedstaden0.40.40.40.50.50.50.50.50.6
Region Sjælland0.50.50.50.50.60.60.60.60.6
Region Syddanmark0.50.50.50.50.50.50.60.60.6
Region Midtjylland0.40.50.50.50.50.60.60.60.6
Region Nordjylland0.50.40.40.50.50.50.40.50.5

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Definition

The data shows the development in the proportion of recycled household waste relative to the total amount of household waste for the five regions and for the whole country. Household waste is defined as the following materials: organic waste, paper and cardboard, glass, plastic, metal and wood waste.

Source: Danish Environmental Agency.

Last updated: 04-02-2026
11.6.2b
Household waste, by type of disposal

Proportion of household waste, by type of disposal in Denmark

Proportion of waste
Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Landfill1.51.21.01.21.01.01.21.21.4
Incineration53.851.852.950.548.045.941.743.839.8
Recycling44.647.046.148.351.053.157.155.158.8

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Definition

The figures show the development in the share of household waste (measured by weight) collected for different treatment methods. Waste collected for recycling is not synonymous with actual recycling, as during the processing stage waste may be sorted out for incineration or landfill.

 

Source: The Danish Environmental Protection Agency’s Waste Data System (ADS). Read more about the waste accounts here.

Last updated: 04-02-2026
11.6.3
Electric passenger cars and buses

Number of electric passenger cars and buses relative to the total number of passenger cars and buses in Denmark

x
Unit: -
201520162017201820192020202120222023202420252026
Passenger cars, total (in 1,000)2 329.62 390.82 465.52 530.02 594.52 651.72 723.72 787.62 801.12 827.82 864.92 914.0
Electric cars (in 1,000)2.97.98.78.810.015.531.966.6112.7200.1344.4541.0
Share of electric cars (per cent)0.10.30.40.30.40.61.22.44.07.112.018.6
Buses, total (in 1,000)13.413.413.413.513.213.012.311.911.410.810.310.1
Electric buses (in 1,000)..0.00.00.00.00.10.10.30.70.91.31.7
Share of electric buses (per cent)..0.00.00.00.10.70.72.66.28.712.616.8

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Definition

The figures show the development in the total number of passenger cars and buses, as well as the share of electric passenger cars and buses as of 1 January in the reference year. Many more statistics on the stock of transport vehicles, newly registered and used cars, etc. can be found here.

Source: Statistics Denmark, table: BIL10 and BIL12.

 

Last updated: 13-02-2026
11.6.4
Electric cars and goods vans, by sector

Proportion of public-sector newly registered cars and goods vans that run on electricity, by municipal, regional and central governments

x
Unit: Per cent
Unit: Per cent
20152016201720182019202020212022202320242025
State..0.90.1..0.15.25.58.220.118.723.7
Region12.45.36.817.05.634.327.534.148.572.858.3
Municipality10.65.84.44.812.013.628.038.261.864.582.8

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Definition

The figures show the development in the share of newly registered passenger cars and vans that run on electricity, broken down by municipality, region, and the state. The figures are compiled as of 31 December in the reference year. Many more statistics on the stock of transport vehicles, newly registered and used cars, etc. can be found here.

Source: Statistics Denmark.

Last updated: 13-02-2026
11.7.1a
Perceived safety of public spaces

Perceived safety of public spaces

Perceived safety of public spaces
Unit: Per cent
Unit: Per cent
201520162017201820192021202220232024
Safe89.389.185.786.585.688.188.687.688.0
Neither safe nor unsafe4.94.44.94.45.44.34.04.14.0
Unsafe5.66.49.28.89.07.47.38.27.9
Do not know/not answered0.20.10.10.20.10.20.10.10.1

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Definition
The data shows the development in citizens’ basic sense of safety in their neighbourhood (all of Denmark). The statistics are based on responses to the following question: “On a scale from 1-7, where 1 means ‘I feel fundamentally safe in my neighbourhood’ and 7 means ‘I feel fundamentally unsafe in my neighbourhood,’ how safe or unsafe do you feel? By neighbourhood we mean the area immediately surrounding your residence.”

The responses are grouped so that:

  • 1-3 indicate that citizens feel safe in their neighbourhood
  • 4 indicates that citizens feel neither safe nor unsafe
  • 5-7 indicate that citizens feel unsafe in their neighbourhood

Source: Ministry of Justice, Tryghedsundersøgelser (safety surveys).

Last updated: 13-02-2026
11.7.1b
Perceived safety of public spaces - vulnerable residential areas

Perceived safety of public spaces in particularly vulnerable residential areas

Perceived safety of public spaces in particularly vulnerable residential areas
Unit: Per cent
Unit: Per cent
201520162017201820192021202220232024
Safe72.772.464.368.470.970.071.970.070.0
Neither safe nor unsafe11.010.612.111.610.810.310.710.09.0
Unsafe16.016.523.219.117.919.016.920.020.0
Do not know/not answered0.30.50.50.80.41.00.50.00.0

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Definition

The data shows the development in citizens’ basic sense of safety in Particularly Vulnerable Residential Areas. These areas are designated by the police districts under the National Police based on a professional policing assessment. Particularly Vulnerable Residential Areas often face challenges related to crime and incidents that create a sense of insecurity.

The statistics are based on responses to the following question: “On a scale from 1-7, where 1 means ‘I feel fundamentally safe in my neighbourhood’ and 7 means ‘I feel fundamentally unsafe in my neighbourhood,’ how safe or unsafe do you feel? By neighbourhood we mean the area immediately surrounding your residence.”

The responses are grouped so that:

  • 1-3 indicate that citizens feel safe in their neighbourhood
  • 4 indicates that citizens feel neither safe nor unsafe
  • 5-7 indicate that citizens feel unsafe in their neighbourhood

Source: Ministry of Justice, Tryghedsundersøgelser (safety surveys).

Last updated: 13-02-2026
11.a.1
Study places

Proportion of higher education study places located outside Copenhagen, Frederiksberg, Odense, Aarhus and Aalborg, by level of education

x
Unit: Per cent
Unit: Per cent
20152016201720182019202020212022202320242025
Vocational Education and Training (VET)58.057.858.559.356.356.556.556.256.356.356.1
Short cycle higher education35.736.437.537.537.637.236.236.736.635.736.0
Vocational bachelors educations25.025.125.225.225.125.325.124.724.825.024.8
Bachelors programs9.710.010.110.410.610.910.910.610.710.911.3
Masters programs9.811.011.811.511.712.613.413.914.014.815.4
PhD programs18.318.218.017.718.518.518.619.419.318.5..

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Definition

The data shows the development in the proportion of higher education places outside the major cities of Copenhagen, Odense, Aarhus and Aalborg out of the total number of higher education places, by education level.

Source: Statistics Denmark, table: UDDAKT11.

Last updated: 02-02-2026
Goal 12: Responsible consumption and production
Ensure sustainable consumption and production patterns
12.2.1
Organic and zero tillage farming

Proportion of Danish agricultural land used for organic and zero tillage farming

xxx
Unit: Per cent
Unit: Per cent
2015201620172018201920202021202220232024
Organic farming6.06.26.57.58.59.610.110.610.610.3
Ploughless farming..10.8..13.6..19.022.022.325.528.8

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Definition

The data shows the trends in the proportion of the Danish agricultural land area used for organic and zero or low tillage farming.

Source: Statistics Denmark, table: AFG5 and OEKO11.

Last updated: 25-07-2025
12.2.3
Earths that the citizens in Denmark consume in one year

Number of earths that the citizens in Denmark consume in one year

Number of earths that the citizens in Denmark consume in one year
Region: Total  |  Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Total5.25.05.14.95.14.94.75.04.74.7

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Definition

The data shows the the number of Earths required to support the entire world’s consumption and standard of living, including greenhouse gas emissions, if everyone in the world lived like the average citizen in Denmark. This figure is 4,7 Earths in 2025, the figure sis calculated based on 2023 data. The date when Denmark exceeded the consumption that Earth could support in one year if everyone lived like the average citizen in Denmark are calculated to be 25. March in 2015, 28. March in 2016, 11. April in 2017, 28. March in 2018, 29. March in 2019, 28. March in 2020, 26. March in 2021 and 26. March in 2022.

Source: York University Ecological Footprint Initiative, FoDaFo & Global Footprint Network.

Last updated: 25-02-2026
12.3.1
Food waste per person per week

Average food waste per person per week for single family homes and apartments

Average food waste per person per week for single family homes and apartments
Time: 2022  |  Unit: kg
Unit: kg
Single family homesApartments
20221.000.69

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Definition

Previous estimates of food waste per person per week cannot be directly compared with the figures for 2022, as the calculation method has changed. The indicator therefore only shows data for 2022, which is the most recent available estimate. The next assessment is expected to be carried out for the year 2025. 

Source: Danish Environmental Protection Agency.

Last updated: 09-01-2024
12.3.2
Food waste in Danish sectors

Food waste in Danish sectors

Food waste in Danish sectors
Food waste distributed across the five stages of the food value chain
Unit: -
2020202120222023
Tonnes
Waste source, total1 288 4041 346 6491 499 8911 553 763
Primary production66 45258 161116 629115 343
Manufacture of food products and beverages596 599607 693695 475737 599
Retail and other distribution of food101 417101 713102 288107 676
Restaurants and food services62 54472 08175 63478 071
Households461 392507 000509 865515 074
Kg per capita
Waste source, total221230254262
Primary production11102019
Manufacture of food products and beverages102104118124
Retail and other distribution of food17171718
Restaurants and food services11121313
Households79878687
The table shows food waste distributed across the five links in the food value chain. # # The figures are compiled by the Danish Environmental Protection Agency.

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Definition

The data show food waste distributed across the five stages of the food value chain, measured in tonnes and kilograms per capita.

The increase from 2021 to 2022 is mainly due to higher production and to the fact that production residues from mink farming, following its closure, are no longer used as animal feed but are treated as waste; see Waste Statistics 2022.

The indicator differs from UN’s official definition. Instead, Denmark measures food waste in accordance with the European Commission’s Delegated Regulation (2019/1597).

Sources: The Danish Environmental Protection Agency and Eurostat.

Last updated: 27-11-2025
12.5.1
Waste generated

Waste generated, by sectors

xxx
Unit: Tonne
Unit: Tonne
201520162017201820192020202120222023
Total11 022 44611 147 92211 203 08012 449 82412 204 87911 956 14312 365 24212 181 68012 529 746
Households3 439 2813 409 7633 404 5313 311 8083 477 8633 523 5193 419 6943 177 6183 157 377
Total industries7 583 1657 738 1597 798 5489 138 0158 727 0168 432 6248 945 5489 004 0629 372 369
Manufacturing etc.1 953 6102 045 9032 195 0612 750 4632 632 2882 128 4262 371 0552 319 4992 597 901
Construction4 159 8214 256 0444 148 3884 799 8134 541 6544 752 0005 005 6315 175 3005 132 586
Service industry389 320406 827411 959407 460394 956386 001401 980379 204419 074
Other industries1 080 4151 029 3831 043 1391 180 2781 158 1171 166 1991 166 8831 130 0601 222 809

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Definition

The data shows the trends in the amount of waste generated by households and business and other services. The group ‘business and other services’ includes agriculture, forestry and fisheries, raw material extraction, manufacturing, utilities, construction, trade and transport, information and communication, financial and insurance services, real estate activities, business services, public administration, education and health as well as art, leisure and other services. The trend for business and other services is described in more detail in the figure below.

Source: Statistics Denmark, tableAFFALD.

Last updated: 15-10-2025
12.5.2
Waste treatment

Total amount of recycling, incineration and landfill waste

Waste generation
Waste category: Total waste (excl. soil)  |  Industry: Industries and households  |  Unit: Tonne
Unit: Tonne
201520162017201820192020202120222023
Recycling, incl. other final material recovery7 561 5237 714 3207 578 5728 988 1578 773 0808 600 1649 026 8578 981 9939 318 476
Incineration3 048 1983 047 5383 234 1203 015 4763 022 4622 944 3082 940 5202 782 4192 793 181
Deposition of waste412 725386 064390 388446 191409 337411 672397 865417 269418 089
For 2011-2015 'food waste' and 'other biodegradable waste' are presented together.

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Definition

The data shows the trend in the amount of waste, by disposal methods (recycling, incineration and landfill).

Source: Statistics Denmark, table: AFFALD.

Last updated: 17-09-2025
12.5.3
Supply of packaging

Supply of packaging, by type of material

Supply of packaging
Unit: 1,000 tonnes
Unit: 1,000 tonnes
2014201520162017201820192020202120222023
Glass156160173151191180188193207228
Plastic187197215201248217218213211242
Paper and cardboard373377414434386547555578570539
Iron and metals34343642444452515161
Wood154107911351697577776874
Other67886..........

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Definition

The data shows the trends in the supply of packaging, by material types (glass, plastic, paper and cardboard, iron and metal, wood and other). Today, the consumption of packaging and thus the packaging in the waste system is not measured; instead, the supply of packaging is estimated for a given year, i.e., the amount of packaging that firms market. The supply of packaging is an approximation of the consumption of packaging.

Source: The Danish Environmental Protection Agency.

Last updated: 17-02-2026
12.6.1
Green jobs

Number of green jobs

Environmental goods and services
Unit: Number of persons employed  |  Unit: -
2015201620172018201920202021202220232024
Environmental goods and services, total68 90271 32875 09374 94274 88675 77679 67083 44991 86494 023
A Environmental protection, total25 71226 31526 89327 81928 27429 00627 86528 85929 33829 829
B Ressource management, total43 19045 01248 20047 12346 61246 77051 80554 59062 52664 193
The figures for latest year are provisional. Revisions in figures for previous years may occur. Turnover, exports and value added are presented in current prices. Environmental purposes are presented according to the CEPA/CReMA classifications (Classification of Environmental Protection Activities and Expenditure and Classification of Resource Management Activities), which are based on activities related to environmental protection and resource conservation.

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Definition

The data shows the trend in the number of green jobs in private sector firms that produce goods or services with environmental protection and/or resource saving purposes. The statistics thus do not include green jobs in the public sector.

Source: Statistics Denmark, tableGRON1.

Last updated: 24-02-2026
12.7.1
Expenditure on organic food and beverages

Proportion of expenditure on organic food and beverages relative to total expenditure on food service in the public sector

xxx
Region: Total  |  Unit: Per cent
Unit: Per cent
20172018201920202021202220232024
Total20.523.827.327.029.328.029.931.7

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Definition

The data shows the trend in expenditure on organic beverages and food relative to the total expenditure on food service in the public sector. The public sector includes the central, regional and municipal governments, social security funds and foundations.

Source: Statistics Denmark, table: OEKO88.

Last updated: 27-08-2025
12.8.1
Residual waste in total household waste

Proportion of residual waste in total household waste

xxx
Region: Total  |  Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Total55.152.351.249.345.944.743.742.838.7

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Definition

The data shows the trend in the share of residual waste relative to total household waste generation. Sorted waste includes organic waste, including garden waste; paper and cardboard; wood, including packaging and impregnation; glass, including packaging; iron and metal, including packaging; plastic and tyres; and electronics, batteries, etc. Residual waste is calculated as mixed municipal waste and similar, waste suitable for incineration and other waste.

Source: Statistics Denmark, table: AFFALD.

Last updated: 30-09-2025
Goal 13: Climate action
Take urgent action to combat climate change and its impacts
13.1.1
Areas with high risk of flooding

Areas and affected municipalities with high risk of flooding

Flood risk asessment
Unit: Number
Unit: Number
2010-20152016-20212022-2027
Risk areas, total101425
Affected municipalities, total222751

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Definition

Due to an increasing risk of flooding—among other factors as a result of climate change, urbanization, and changes in land use—new EU regulations on the assessment and management of flood risks came into force in 2007. The implementation of the EU Directive 2007/60/EC of 23 October 2007 means that all member states must plan for the management of extreme flooding.

In Denmark, the Minister for the Environment, through the Danish Coastal Authority (Kystdirektoratet), is responsible for implementing the directive. The purpose of the Flood Risk Act is to assess and manage the risk of flooding in particularly vulnerable areas within a national context. The law aims to reduce the negative consequences of potential flooding for human health, the environment, cultural heritage, and economic activity. You can read more about the Danish Coastal Authority’s designation of risk areas here.

Two planning periods have been completed: 2010–2015 and 2016–2022. At the beginning of the third planning period (2023–2027), the national risk assessment was revised based on evaluations of the previous periods. In this connection, the method for designating risk areas was changed, which resulted in a significant increase in the number of designated areas in 2024. The next designation round is expected to take place towards the end of 2029. The data source is the Danish Coastal Authority.

Last updated: 18-03-2026
13.1.2a
Damage claims resulting from extreme weather

Number of claims for damage resulting from extreme weather

Number of claims paid out for damage resulting from extreme weather
Unit: 1,000
Unit: 1,000
2015201620172018201920202021202220232024
Storm damage (excl. water damage caused by storm)54.617.511.010.013.017.39.457.753.420.0
Water damage, caused by storm5.41.31.00.60.82.013.50.62.71.4
Water damage, caused by cloudburst8.16.27.63.28.85.57.77.023.215.6

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Definition

The figures show the development in the number of compensation claims related to extreme weather. The amount of compensation paid out by insurance companies relating to extreme weather is shown in indicator 13.1.2b.

Source: Insurance & Pension Denmark.

Last updated: 29-10-2025
13.1.2b
Amount paid out by insurance companies for damage resulting from extreme weather

Amount paid out by insurance companies for damage resulting from extreme weather

Amount paid out by insurance companies for damage resulting from extreme weather
Unit: m DKK
Unit: m DKK
2015201620172018201920202021202220232024
Storm damage (excl. water damage caused by storm)585.2139.287.880.1105.4161.170.9692.9630.5207.9
Water damage, caused by storm38.819.18.47.37.257.912.210.836.716.0
Water damage, caused by cloudburst180.5151.8148.870.2197.0111.3203.1170.5616.5390.4

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Definition

The data shows the trends in the amount of compensation paid out by insurance companies for damage caused by extreme weather. The number of reported damages related to extreme weather is shown in indicator 13.1.2a.

Source: Insurance & Pension Denmark.

Last updated: 02-02-2026
13.2.1
Gas emissions

Denmark's total CO2-equivalent greenhouse gas emissions

Gas emissions
Unit: 1,000 tonnes
Unit: 1,000 tonnes
2015201620172018201920202021202220232024
Greenhouse gases, total (including CO₂ from biomass combustion)106 124112 659113 254113 774110 34299 278110 250103 18998 801104 415
Hereof Carbon dioxide (CO₂) from biomass combustion14 14315 22916 76616 57616 70817 03720 04217 71817 59618 288
Hereof international transport conducted by Danish ships, aircraft, and vehicles39 98743 61344 39346 04846 73339 02246 01042 26241 38048 006

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Definition

The data shows the trend in Denmark’s total greenhouse gas emissions, including CO2 from burning biomass. The total greenhouse gas emissions are calculated in CO2 equivalents (CO2e). This is done by converting emissions of other greenhouse gases, including, for example, methane gas, to the same unit as CO2 using conversion factors from the Intergovernmental Panel on Climate Change (IPCC).

Source: Statistics Denmark, table: DRIVHUS.

Last updated: 19-09-2025
13.3.1
The population's attitude to and actions associated with the climate

Trends in the population's attitude to and actions associated with the climate

Trends in the population¿s attitude to and actions associated with the climate
Unit: Per cent
Unit: Per cent
201520162018202020222025
How worried are you that climate change will harm you personally?304148454639
Have you done anything to reduce your own contribution to greenhouse gas emissions?3842475753..

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Definition

The data shows the trend in the population’s concern about the consequences of climate change and the population’s initiatives to reduce their own contribution to greenhouse gas emissions. Specifically, to the survey question: ‘How worried are you that climate change will harm you personally?’ the proportion that answered ‘To a large extent’ and ‘To some extent’ are combined and shown in the figure. To the question: ‘Have you done anything to reduce your own contribution to greenhouse gas emissions?’ the figure shows the proportion who answered ‘Yes’.

Source: CONCITO.

Last updated: 28-03-2026
13.a.1
The evolution of greenhouse gas emissions

The evolution of greenhouse gas emissions and the path to the goal of a reduction of 70 per cent compared to 1990

The evolution of greenhouse gas emissions and the path to the goal of a reductio
Unit: Million tonnes of CO2 equivalents
Unit: Million tonnes of CO2 equivalents
19901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024202520262027202820292030
Actual emissions79.289.284.285.288.685.998.389.285.182.778.279.279.884.578.473.881.977.472.368.868.062.056.858.154.250.553.450.952.647.644.744.542.438.8..............
Target for 70 per cent reduction by 2030................................................................................23.5

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Definition

The figures show the development of CO2 equivalents in Denmark as well as the reduction target of 70 percent compared to 1990. The total emission of greenhouse gases is measured in CO2 equivalents (CO2e). This is done by converting the emissions of other greenhouse gases, including methane and nitrous oxide, into the same unit as CO2 using conversion factors from the Intergovernmental Panel on Climate Change (IPCC). The measurement follows the guidelines of the United Nations Framework Convention on Climate Change (UNFCCC) and the underlying Kyoto Protocol. The Danish greenhouse gas emission inventories include all sources described in the IPCC guidelines. The figures do not include international shipping and aviation, Danish companies' activities abroad, or the combustion of biomass.

Source: Denmark’s reporting to the UNFCCC.

Last updated: 18-02-2026
Goal 14: Life below water
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
14.1.1a
Nitrogen and phosphorus in fjords, coastal waters and open inner waters

Levels of nitrogen and phosphorus in fjords, coastal waters and open inner waters

Levels of nitrogen and phosphorus in fjords, coastal waters and open inner wat
Unit: µG per liter
Unit: µG per liter
2015201620172018201920202021202220232024
Nitrogen
Danish fjords and Danish coastal waters54484842484535404647
Surface water in open inner waters in Denmark1112111011129121212
Bottom water in open inner waters in Denmark63635245425244534568
Phosphorus
Danish fjords and Danish coastal waters77776888810
Surface water in open inner waters in Denmark5565466667
Bottom water in open inner waters in Denmark16181716151818181721

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Definition

The data shows the trends in the annual average value of nitrogen and phosphorus in  fjords, coastal waters and open inner waters. Nitrogen is inorganic nitrogen, which forms nitrate, nitrite and ammonium, which can be absorbed by plants for primary production. Phosphorus is dissolved inorganic phosphorus, i.e. phosphate that can be taken up by plants for primary production.

Source: Danish Centre for Environment and Energy, Aarhus University.

Last updated: 18-02-2026
14.1.1b
Silicon in fjords, coastal waters and open inner waters

Levels of silicon in fjords, coastal waters and open inner waters

Levels of silicon in fjords, coastal waters and open inner waters
Unit: µG per liter
Unit: µG per liter
2015201620172018201920202021202220232024
Danish fjords and Danish coastal waters291251330320217349317361314378
Surface water in open inner waters in Denmark116102174158105150145171160172
Bottom water in open inner waters in Denmark311284310314259301331368311390

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Definition

The data shows the trends in the annual average value of silicon in  fjords, coastal waters and open inner waters. Silicon is dissolved inorganic silicon, i.e. silicate that diatoms use to build their shells.

Source: Danish Centre for Environment and Energy, Aarhus University.

Last updated: 18-02-2026
14.1.2
Tyres sold in Denmark

Tyres sold in Denmark

xxx
Region: Total  |  Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Total3 781 1433 529 9343 691 2243 167 2933 487 5853 379 2683 379 7493 312 2432 987 9163 535 530

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Definition

The data shows the trend in the number of tyres sold. The statistics include all tyres sold in Denmark, including new tyres and re-tread tyres for passenger cars, motorcycles, vans, trucks, agricultural machinery and construction machinery.

Source: Danish Tyretrade Environmental Foundation.

Last updated: 29-01-2025
14.1.3
Metals in marine sediment

Concentration of metals in marine sediment

Concentration of metals in marine sediment
Unit: mg per kg dry
Unit: mg per kg dry
LeadCadmiumMercuryChromeCopperNickelZincArsenicSilverBarium
2004:201222.00.30.141.015.017.067.08.0..558.0
2018:202312.60.10.020.91.69.517.97.00.2271.0

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Definition

The figures show the concentration of metals calculated as the average for the period 2004–2012 and again for 2018–2023. The accumulation of metals in sediment is a long-term process and may vary from year to year; therefore, measurements of metals in sediment are calculated as an average over a multi-year period. Measurements are conducted approximately every five years when the Danish Environmental Protection Agency and the Danish Agency for Green Land Transition and Aquatic Environment plan the sampling.

Source: National Centre for Environment and Energy, Aarhus University


 

Last updated: 27-01-2025
14.2.1
Oxygen depletion in inner Danish waters

The extent of oxygen depletion in inner Danish waters

The extent of oxygen depletion in inner Danish waters
Unit: km2
Unit: km2
Oxygen depletionSevere oxygen depletion
2011M09615412
2012M09527580
2013M09892875
2014M091 611499
2015M091 120603
2016M092 6221 420
2017M091 159539
2018M091 347904
2019M097641 057
2020M093 3331 112
2021M091 3131 176
2022M092 3241 237
2023M095 7401 724
2024M099 1581 788
2025M092 4541 230

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Definition

The data show the development of oxygen depletion in the inner Danish waters. Oxygen depletion occurs when the oxygen concentration in the water is 4 mg/L or lower, and it is classified as severe when it falls below 2 mg/L. Moderate oxygen depletion (2-4 mg/L) causes fish and mobile seabed animals to move away. This phenomenon mainly occurs from July to November, with data provided for the month of September. The most extensive severe oxygen depletion was recorded in 2002, covering 4,341 km², while moderate oxygen depletion extended over 8,634 km². The average for the period 1989-2009 was 996 km² for severe oxygen depletion and 2,899 km² for moderate oxygen depletion.

Source: National Centre for Environment and Energy, Aarhus University.


Last updated: 31-10-2025
14.2.2
Eelgrass in inner Danish waters

Depth limit of eelgrass in inner Danish waters

Depth limit of eelgrass in inner Danish waters
Unit: metre
Unit: metre
2015201620172018201920202021202220232024
Inner fjords2.602.542.782.782.642.702.862.702.742.72
Outer fjords3.873.733.683.793.633.313.753.803.613.63
Limfjord2.302.352.342.402.262.122.102.202.142.06
Coastal waters2.305.185.195.104.975.024.945.095.175.06

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Definition

The data shows the concentration of metals calculated as the average between 2004 and 2012. Accumulation of metals in sediment is a long-term process and can vary from year to year, which is why measurements of metals in sediment are made as an average over a multi-year period.

Source: Danish Centre for Environment and Energy, Aarhus University.

Last updated: 18-02-2026
14.2.3
Bathing-water quality

Trend in bathing-water quality

xxx
Region: Total  |  Unit: -
2015201620172018201920202021202220232024
Total3.783.743.793.803.863.883.893.923.923.94

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Definition

The data shows the trend in bathing-water quality, calculated using a bathing-water index. The Danish Environmental Protection Agency collects the municipalities’ bathing-water tests annually. In 2019, 9,422 tests were collected from 1,022 bathing-water locations. The tests screen for faecal coliform bacteria that are harmful to humans. Based on the tests, the bathing waters are classified as excellent (4), good (3), sufficient (2), poor (1) or not classified (0), and an average score in the interval 0-4 is computed from these classification scores.

Source: Danish Environmental Protection Agency.

Last updated: 19-02-2026
14.4.1
MSC-certified catch in Danish waters

Proportion of MSC-certified catch in Danish waters

xxx
Region: Total  |  Unit: Per cent
Unit: Per cent
20212022
Total7177

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Definition

 The figures show the development in the share of Danish fishers' catches that are MSC certified. The Marine Stewardship Council (MSC) is an international non-profit organization that operates the scientifically based MSC certification and labelling program for sustainable fishing. MSC is an official biodiversity indicator partner and provides data to the UN to help assess progress towards Aichi Targets 6 and 4.

Source: Marine Stewardship Council (MSC).

Last updated: 28-03-2025
14.b.1
Fishing vessels by length

Proportion of fishing vessels by length relative to the total fleet of fishing vessels

Proportion of small fishing vessels relative to the total fleet of active fishin
Unit: Per cent
Unit: Per cent
20152016201720182019202020212022202320242025
Less than 12 metre83.783.983.783.783.283.282.782.683.884.183.8
12-18 metre10.310.010.110.210.410.410.710.810.310.310.4
18-40 metre4.74.74.74.75.05.15.25.24.74.64.6
More than 40 metre1.41.51.51.51.41.41.41.41.21.11.2

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Definition
The data shows the trends in the proportion of registered fishing vessels in each size category relative to the total fishing fleet. www.statbank.dk/fisk1
Source: Danish Fisheries Agency.
Last updated: 01-04-2026
Goal 15: Life on land
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
15.1.1
Natura 2000 areas

Proportion of Natura 2000 areas relative to Denmark's total areal

Proportion of Natura 2000 areas relative to Denmark¿s total areal
Unit: Per cent
Unit: Per cent
2011201620182023
Land area8899
Marine area12172328

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Definition

The figures show the development in the share of Natura 2000 areas relative to Denmark’s total area, divided into land area and marine territory.

Natura 2000 is the designation for protected areas in the EU. These areas are intended to preserve and protect natural habitats as well as wild animal and plant species that are rare, threatened, or characteristic of EU countries. When an area is designated as a Natura 2000 site, it implies that:

  • a favourable conservation status must be ensured or restored for the various habitat types and species for which the area has been designated.
  • the area must be protected against new activities that could harm nature within it.
  • active efforts must be made to ensure or restore nature in the area. The basis for these efforts is the so-called Natura 2000 plans.

Source: Danish Agency for Green Transition and Aquatic Environment

Last updated: 26-07-2025
15.1.2
Fulfilment of targets for lakes and watercourses

Fulfilment of targets for lakes and watercourses

Fulfilment of targets for lakes and watercourses
Time: 2014:2018  |  Unit: Per cent
Unit: Per cent
WatercoursesLakes
2014:201828.020.0

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Definition

The data shows the status of the fulfilment of the targets for watercourses and lakes. The data for the targets are from individual evaluations for the water area districts of Jutland and Funen, Zealand, Bornholm and international. The category ‘international’ is a cross-border water district consisting of the Danish part of the watercourse catchments that extend across the Danish-German land border. The condition of the watercourses is assessed on the basis of the quality elements small animals, plants and fish. The condition of the lakes is assessed on the basis of the quality elements phytoplankton, chlorophyll, macrophytes (aquatic plants) in cases where it is not possible to use phytoplankton and fish.

Source: Danish Environmental Protection Agency.

Last updated: 14-09-2022
15.2.1a
Total forest and protected forest areas

Total forest and protected forest areas in Denmark

Total forest and protected forest areas in Denmark
Unit: 1,000 ha
Unit: 1,000 ha
201520162017201820192020202120222023
Total forest624.8624.7625.6627.3633.4632.6640.8643.0651.8
Protected forest445.2443.9436.8436.1439.9439.2445.9448.7455.3

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Definition

The data shows the total forested area and area of protected forests in Denmark, measured in 1,000 hectares.

The data come from the official forest statistics, which up to 2024 are compiled by the University of Copenhagen (Forest & Landscape). The Danish Agency for Green Transition and Aquatic Environment has been responsible for the overall monitoring of forests since 2024. This task was previously carried out by the University of Copenhagen. The 2024 forest statistics are expected to be published by the end of 2026.

Last updated: 26-07-2025
15.2.1b
Area of sustainability-certified forests

Area of sustainability-certified forests in Denmark

Area of sustainability-certified forests in Denmark
Unit: 1,000 ha
Unit: 1,000 ha
201520162017201820192020202120222023202420252026
PEFC-certified..........300.0..304.5....359.0..
FSC-certified199.6205.6214.0212.7214.9224.1225.1226.8228.3230.0233.2232.6

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Definition

The data shows PEFC- and FSC-certified forest areas in Denmark. The area is stated in 1,000 hectares.  FSC-certified forest is forest managed according to international standards for environmental, social, and economic sustainability. PEFC-certified forest is forest managed sustainably according to nationally adapted guidelines approved by an international certification scheme.

Sources: Programme for the Endorsement of Forest Certification (PEFC) and Forest Stewardship Council (FSC).

Last updated: 06-03-2026
15.5.1
Common Danish breeding birds

Number of common Danish breeding birds

xxx
Region: Total  |  Unit: Index
Unit: Index
201020112012201320142015201620172018201920202021202220232024
Total100.0098.7597.0892.9897.9195.3393.8991.2386.0987.0989.7786.6583.0782.4476.65

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Definition

The data shows the trend in the number of breeding birds within 133 species (common Danish breeding birds). 2010 = 100. Monitoring of the common Danish birds is part of a cooperative agreement between the Danish Ornithological Society and the Ministry of the Environment and Food of Denmark.

Source: Danish Ornithological Society (Birdlife Denmark).

Last updated: 08-10-2025
15.5.2
The Red List Index

The Danish Red List Index

xxx
Region: Total  |  Unit: Index
Unit: Index
20102019
Total0.8840.875

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Definition

The figures show the development of the Red List Index. A Red List Index value of 1 means that all species are classified as Least Concern, while an index value of 0 means that all species have disappeared from Denmark. Red List assessments are carried out in periods. In the current period (2020–2030), assessments of 12,000 species are planned. The indicator cannot be updated before 2030. 

Source: National Centre for Environment and Energy, Aarhus University.

Last updated: 22-07-2022
15.5.3
Area virgin forest and biodiversity forest

Area virgin forest and biodiversity forest

Area virgin forest and biodiversity forest
Unit: 1,000 ha
Unit: 1,000 ha
Virgin forestBiodiversity forest
2016
Private sector2.70.0
State6.42.6
2022
Private sector2.5..
State7.10.9

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Definition
The figures show the area of untouched forest (urørt skov) and biodiversity forest (biodiversitetsskov) distributed between the state and private owners. Untouched forests are areas where commercial forestry has ceased. This means that over time, they become rich in old trees, dead trunks, and high biodiversity. 

 

There are no combined figures for private biodiversity forests. Monitoring: The area of untouched and biodiversity forest is not systematically recorded; therefore, these figures cannot be updated regularly. The fifth and final designation of untouched forest was completed in early 2025. This means the national goal of 75,000 hectares of untouched forest in Denmark has been met.
 
Source: Ministry for the Green Tripartite.
Last updated: 04-07-2023
15.7.1
CITES inspections leading to confiscation of one or more items

Number of CITES inspections leading to confiscation of one or more items

xxx
Region: Total  |  Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Total13268861141961135816314512576

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Definition

The data shows the trend in the number of CITES inspections where one or more items were confiscated. The number of inspections is affected by the activity of the customs service; that is, there may be a blitz on CITES or on travellers from selected destinations for a period of time, which may result in more reported infringements being detected than would have been the case without such a periodic blitz.

Source: Ministry of Environment and Food of Denmark and World Wide Fund for Nature (WWF).

Last updated: 13-01-2026
15.8.1
Invasive species

Number of invasive species

Number of invasive species
Unit: Number
Unit: Number
202020222023
Invasive plant species426638
Invasive animal species396739

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Definition

An invasive species is a species that has been introduced by humans to an area outside its natural range, where it causes harm to native flora and fauna. The indicator shows the number of animal and plant species on the list of species that behave invasively in Denmark. The list is based on the most recent revised assessment by the Danish Environmental Protection Agency, in which the number of invasive species was reduced from previously (e.g. 136) to 77 following stricter criteria for invasiveness.

The species have been assessed based on their ability to spread, their impact on nature and ecosystems, their economic and health consequences, and the conservation value of the affected habitats.

There are two other legally binding lists of invasive species, which are regulated by legislation that, for example, restricts trade and transport at national and international levels. See the EU list and the national list of invasive species here. A species may be invasive in other parts of Europe and therefore appear on the EU list without being invasive in Denmark. This applies to several of the species that are no longer included on the Danish list of species that behave invasively.

Last updated: 28-02-2026
Goal 16: Peace, justice and strong institutions
Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
16.1.1
Victims of reported violent crimes

Number of victims of reported violent crimes

Victims of reported criminal offences
Type of offence: VICTIMS OF VIOLENT CRIMES, TOTAL  |  Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
VICTIMS OF VIOLENT CRIMES, TOTAL18 23323 19527 65828 86829 31628 17928 08832 11430 91529 90132 536
As of January 2024, Theft from Bag and Luggage has been removed as a separate type of offense. This contributes to the large decrease in victims from 2023 to 2024. From 2022, an extended method have been used to search for errors in data on victims of homicide. The figures for 2001-2021 have been revised using the same error-finding method. # # The number of victims of homicide 2001-2009 is regarded as underestimated. # # The provisions of the Danish Criminal Code regarding sexual offences went through essential amendments taking effect from 1 July 2013. The amendments resulted in e.g. more categories of sexual offences than previously being placed under the provisions about rape (section 216). See more in [the documentation of statistics](http://www.dst.dk/declarations//a31ba8f4-1ef3-447d-80a9-e857db9471d1), in the chapter Comparability.

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Definition

The data shows the trend in the number of victims of reported violent crimes. Violent crimes include violence and the like against a public authority, homicide and attempted homicide, common assault, assault causing actual bodily harm, assault causing grievous bodily harm, crime against life and limb, and crime against personal liberty. Victims of all ages are included.

Source: Statistics Denmark, table: STRAF5.

Last updated: 17-03-2026
16.1.2
Former prisoners

Proportion of former prisoners who are convicted of new violent crime

x
Unit: Per cent
Unit: Per cent
2013:20152014:20162015:20172016:20182017:20192018:20202019:20212020:20222021:2023
Total7.77.710.59.811.910.810.99.89.6
Men7.68.010.79.612.411.010.110.110.0
Women8.93.76.512.54.38.622.86.74.5

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Definition

The data shows the trend in the proportion of previously imprisoned persons convicted of new violent crimes. Violent crimes include violence and the like against a public authority, homicide and attempted homicide, common assault, assault causing actual bodily harm, assault causing grievous bodily harm, crime against life and limb, and crime against personal liberty.

Source: Statistics Denmark, table: RECIDIV3.

Last updated: 08-10-2025
16.2.1
Number of notifications

Number of notification(s) per 1,000 children aged 0-17 years

x
Region: Total  |  Unit: Per 1,000
Unit: Per 1,000
2015201620172018201920202021202220232024
Total16.223.527.729.228.128.427.828.129.432.1

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Definition

The figures show the development in the number of children with notification(s) per 1,000 children aged 0-17. In the statistics, children with notification are counted, where the reason for the notification has been either abuse against a child/youth, for example sexual or violent, other form of neglect of a child/youth, high level of conflict or violence in the home between adults or insufficient care from parents. Children with multiple notifications count only once.

Source: Statistics Denmark.

Last updated: 31-10-2025
16.2.2
Reports of force on children and adolescents

Number of reports of force on children and adolescents

x
Region: Total  |  Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Total6 1035 7795 5065 4125 9225 2595 4045 8776 6347 930

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Definition

When a use of force occurs at a residential institution, a 24-hour institution, or in a specialized foster family, it must be reported to the municipality responsible for the placement, and the social supervisory authority (Socialtilsynet) must receive a copy of the report. Reports on the use of force form part of the social supervisory authority’s assessment of the overall quality of the service. Use of force may include, for example, physical intervention, such as holding or escorting a child or young person, because the child or young person posed a danger to themselves or others.

Information on the number of reported uses of force in the child and youth sector is collected by the five social supervisory authorities in Denmark and published in the authorities’ annual reports, as well as in appendices to the annual report “Socialtilsynenes virksomhed” (The Activities of the Social Supervisory Authorities), which is published by the Danish Social and Housing Agency (Social- og Boligstyrelsen).

Last updated: 20-03-2026
16.3.1a
Number of cases received at the district courts

Number of cases received at the district courts

Number of cases received at the district courts
Region: Total  |  Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Total720 710736 404749 820794 754809 707639 908576 731614 723645 157598 814608 374

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Definition

The data shows the trend in the number of cases received by the district courts.

Source: Courts of Denmark.

Last updated: 30-03-2026
16.3.2a
Number of long-term pre-trial detentions in total

Number of long-term pre-trial detentions in total

Number of long-term pre-trial detentions
Region: Total  |  Unit: Number
Unit: Number
201520162017201820192020202120222023
Total1 2861 1631 1241 5851 6741 7491 8471 7891 823

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Definition

The figures show the total number of long-term pre-trial detentions lasting more than 90 days. During the period, the method of calculation was changed, leading to a data break. Previously, the duration of pre-trial detention was recorded until sentencing or case dismissal, but now the duration is counted until release, which typically extends the period. Additionally, interrupted cases are counted as two separate cases from 2018 onwards, whereas they were previously treated as a single case. Therefore, figures prior to 2018 cannot be directly compared with data from 2018 and onwards.

Source: Director of Public Prosecutions and the Ministry of Justice.

Last updated: 16-10-2025
16.3.2b
Proportion of long-term pre-trial detentions

Proportion of long-term pre-trial detentions

Proportion of long-term pre-trial detentions
Region: Total  |  Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Total29.227.425.734.438.243.350.949.255.4

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Definition

The figures show the proportion of pre-trial detentions that are long-term. Long-term pre-trial detentions are defined as detentions lasting more than 90 days. During the period, the method of calculation was changed, resulting in a data break. Previously, the duration of pre-trial detentions was recorded up to sentencing or case dismissal, but it is now counted until release, which typically extends the period. Additionally, interrupted cases are counted as two separate cases from 2018 onwards, whereas they were previously treated as a single case. Therefore, proportions prior to 2018 cannot be directly compared with data from 2018 and beyond.

Source: Director of Public Prosecutions and the Ministry of Justice.

Last updated: 16-10-2025
16.3.3
Solitary confinement placements

Number of solitary confinement placements

x
Region: Total  |  Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Total2 5792 9954 0854 7534 4224 0543 7793 6532 9632 383

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Definition

The data shows the trend in the number of solitary confinement placements in the form of isolation alone in a cell and away from the rest of the prison community.

Source: The Prison and Probation Service.

Last updated: 16-10-2025
16.4.1
Money Laundering Secretariat notifications

Number of Money Laundering Secretariat notifications

x
Region: Total  |  Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Total15 61918 66924 91135 76853 48173 44770 44989 78381 10691 330

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Definition

The data shows the trend in the number of notifications to the Money Laundering Secretariat at the State Prosecutor for Serious Economic and International Crime about suspected money laundering.

Source: Money Laundering Secretariat.

Last updated: 16-10-2025
16.5.1
Denmark's Corruption Perceptions Index score

Denmark's Corruption Perceptions Index score

x
Region: Total  |  Unit: Index
Unit: Index
20152016201720182019202020212022202320242025
Total9190888887888890909089

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Definition

The data shows the trend in Denmark’s score on the Transparency International Corruption Perceptions Index. The index goes from 0 to 100, where 100 is the lowest level for perceived corruption. Denmark ranks 1 out of 182 countries as the least corrupt country in 2025. Scoring 182 countries around the world, the Corruption Perceptions Index (CPI) is the leading global indicator of public sector corruption. Denmark is the highest ranked nation since 2012 with the exception of 2017 where New Zealand scored one point higher than Denmark. Only a small group of 15 countries, mainly in Western Europe and Asia-Pacific, manage to get scores above 75.

Source: Transparency International.

Last updated: 11-02-2026
16.6.1
The population that is satisfied with and trust Danish institutions

Proportion of the population that is satisfied with and trust Danish institutions

Proportion of the population that is satisfied with and trust Danish institution
Unit: Per cent
Unit: Per cent
20162018202020212023
National government4763724944
Policeforce7985..7969
Healthcare system8588......
Judicial system8287..7875
Education system7984..7874

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Definition

The data shows the proportion of the population that states that they are satisfied and have confidence in the national government and institutions.

Source: Organisation for Economic Co-operation and Development (OECD).

Last updated: 24-10-2025
16.7.1
Turnout

Proportion of eligible citizens who voted in the Danish parliamentary, European parliamentary, regional and municipal elections.

x
Unit: Per cent
Unit: Per cent
2013201420152017201920212022202420252026
Election to the Parliament....85.9..84.6..84.2....84.0
Election to the European Parliament..56.3....66.1....56.90.00.0
Election to the municipality councils71.9....70.8..67.2....69.20.0
Election to the region councils71.8....70.7..67.0....68.00.0

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Definition

The data shows the development in the proportion of eligible voters in the population who participated in the European parliamentary, Danish parliamentary, regional and municipal elections.

Source: Statistics Denmark.

Last updated: 28-03-2026
16.10.1
Verdicts - the hate speech section

Number of verdicts handed down in accordance with section 266 b of the criminal code, the hate speech section

x
Unit: Number
Unit: Number
20152016201720182019202020212022202320242025
Not-guilty decisions (not-guilty)3113242833323727392055
Guilty decisions (guilty)101622251826147932222

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Definition

The data shows the number of verdicts handed down in accordance with section 266 b of the criminal code, the hate speech section. This includes both primary and secondary alleged offences, but the latter only constitutes a minority share. The cases are disaggregated by decision types.

Source. Statistics Denmark.

Last updated: 10-04-2026
16.b.1
Cases heard by the Equal Treatment Board

Number of cases heard by the Equal Treatment Board by type of case

Number of cases heard by the Equal Treatment Board
Unit: Number
Unit: Number
20172018201920202021202220232024
Gender117879610010515051131
Ethnicity4334415627794145
National origin435125151818
Religion3296881347
Age52102303718412833
Disability326240552710712364
Political pursuation51122322
Social origin11042202
Sexual orientation01102302
Disability outside the workplace01120337818543109

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Definition

The data shows the development in the number of cases that the Board of Equal Treatment dealt with. The cases are disaggregated by type of case.

Source: The National Social Appeals Board.

Last updated: 05-04-2025
Goal 17: Partnerships for the goals
Strengthen the means of implementation and revitalize the global partnership for sustainable development
17.3.1a
Foreign direct investment to least developed countries and other developing countries

Foreign direct investment to least developed countries and other developing countries as a share of total foreign direct investment to developing countries

Foreign direct investment in developing countries and least developed countries
Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Least developed countries3.42.73.63.22.02.83.03.42.7
Other developing countries96.697.396.496.898.097.297.096.697.3

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Definition

The data shows foreign direct investment from Denmark to the least developed countries and to other developing countries  as a share of the total foreign direct investment to all developing countries calculated as a percentage. The figures are for Danish outward direct investments excl. pass through investments (stock). The country is the first counterparty country. Countries are categorized according to the OECD's list of developing countries, see The DAC list of ODA Recipients 2025.

Source: Danish National Bank.

Last updated: 14-02-2025
17.3.1b
Total direct investment to developing countries

Total foreign direct investment to developing countries

Foreign direct investment in developing countries and least developed countries
Region: Total  |  Unit: DKK bn
Unit: DKK bn
201520162017201820192020202120222023
Total83.492.994.0113.2103.0117.5136.7139.5151.6

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Definition

Total foreign direct investment from Denmark to developing countries. Countries are categorized according to the OECD's list of developing countries, see The DAC list of ODA Recipients 2025.

Source: Danish National Bank.

Last updated: 14-02-2025
17.3.2
Migrant remittances out of Denmark

Migrant remittances out of Denmark

x
Region: Total  |  Unit: DKK bn
Unit: DKK bn
201520162017201820192020202120222023
Total18.719.620.721.422.422.122.927.329.8

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Definition

The data shows the development in migrant remittances out of Denmark in DKK. Data are estimated in USD and are converted to DKK using the annual average exchange rate from Danmarks Nationalbank.

Source: The World Bank.

Last updated: 13-02-2025
17.4.1
The debt and wealth of private households

The debt and wealth of private households in Denmark

x
Unit: -
201620172018201920202021202220232024
Financial assets, B DKK7 264.97 603.07 505.18 416.49 029.910 675.59 659.110 173.810 956.1
Fixed assets and durables (dwellings, vehicles etc.), B DKK3 994.04 142.94 277.24 359.14 505.14 768.44 624.94 827.85 015.5
Debt ratio (liabilities share of fixed and financial assets), percent22.421.821.820.720.317.717.517.216.5

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Definition

The data shows the trends in real and financial assets and the debt share in total wealth.

Source: Statistics Denmark.

Last updated: 25-11-2025
17.6.1
Student exchange

Number of foreign student exchange stays in Denmark and number of Danish student exchange stays abroad

Exchange students
Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Foreign students in Denmark
Total7 7228 2578 4858 6678 4868 0613 5457 1288 4468 212
Nordic countries586594712673608573234633760664
Other European countries4 4994 7124 7374 8124 5804 5332 8994 7874 6364 309
Africa53484763554025564642
USA/Canada1 0791 2731 1971 2321 2651 049737111 3081 323
Latin America/Caribbean13814717516917920668171206222
Asia9651 0321 1361 2311 3221 2242276751 1021 007
Australia/New Zealand/Pacific Islands394432464483459428105383486
No information8191741889905159
Danish students abroad
Total11 53014 47315 11015 06914 02311 5793 7907 94810 8459 781
Nordic countries1 0591 1961 2051 2521 1309866331 0661 1411 185
Other European countries4 8646 3256 4246 4365 8384 3732 4754 4154 7724 079
Africa49971391077972163156433696627
USA/Canada1 8792 0822 3602 1872 0871 8201651 1071 4671 232
Latin America/Caribbean38049049054745640728149263276
Asia1 9522 6172 6102 7652 6362 3163147441 7491 582
Australia/New Zealand/Pacific Islands8921 0201 1001 0981 1391 0467922753768
No information5301151604012432
In the first published version for 2023, errors were found in UDD codes, periods, and duplicates, which have now been corrected. For further information: http://www.dst.dk/ext/uddannelse/Uddannelsestabeller

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Definition

The data shows the trends in number of foreign student exchange stays in Denmark and number of Danish student exchange stays abroad. The same student can have several stays and, thereby, be counted several times.

Source: Statistics Denmark, table: UDVSTD02.

Last updated: 15-05-2025
17.11.1
Imported goods from developing countries

Proportion of imported goods from developing and least developed countries out of total Danish imports of goods

x
Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Least developed countries0.91.11.21.21.31.21.21.51.1
Other developed countries13.613.313.112.713.113.514.515.811.6

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Definition

The data shows the development in the share of imported goods from developing countries by country group out of the total imports of goods.

Source. Statistics Denmark.

Last updated: 09-07-2025
17.15.1
Denmark's ranking on the Commitment to Development Index

Denmark¿s Ranking on the Commitment to Development Index (Ranking Closer to 1 Indicates Greater Engagement)

Denmarks ranking on the Commitment to Development Index and scores for the seve
Unit: Score
Unit: Score
2020202120232025
Ranking10101314
Finance81878988
Investment60576257
Migration31314346
Trade81837776
Enviroment82867771
Security94929182
Technology34363535

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Definition

The figures show Denmark’s overall ranking and score across the various categories in the Commitment to Development Index (CDI). The ranking assesses the extent to which a developed country’s policies, taken as a whole, contribute to development in developing countries. Each category is scored on a scale from 0 to 100. Denmark’s overall ranking has been declining according to the CDI assessments. Denmark ranked first in 2015 and is assessed to be in 14th place in 2025. When Denmark is evaluated in relation to the expectations associated with its income level, the overall ranking falls to 26th place.

The first assessment was conducted in 2003. In 2019, the scoring system was revised, which means that data from 2003–2019 are not included, as they are not directly comparable with the new scoring values for the different categories.

Source: Center for Global Development.

Last updated: 11-02-2026
17.17.1
Danish members of the UN Global Compact

Number of Danish members of the UN Global Compact by type of organisation

Number of Danish members of the UN Global Compact
Unit: Number
Unit: Number
2015201620172018201920202021202220232024
Corporation125136138152164171188206235241
Subsidiary00015721293136
SMEs112132142159186207240320349360
Organisation51494040383538455248

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Definition

The data shows the trend in the number of Danish organisations that are members of the UN Global Compact by type of organisation. SMEs are defined as enterprises with fewer than 250 full-time employees.

Source: UN Global Compact Network Denmark.

Last updated: 31-01-2025
17.17.2
The universities' research collaboration agreements

Proportion of the universities' research collaboration agreements by type of collaboration partner

Proportion of the universities¿ research collaboration agreements
Unit: Per cent
Unit: Per cent
201520162017201820192020202120222023
Public sector entities29.524.528.324.026.635.037.131.634.3
Public research councils, foundations, programmes, etc22.823.718.95.5..........
Private enterprises47.651.952.870.673.465.062.968.465.7

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Definition

The data shows the development in the universities’ research collaboration agreements by type of collaboration partner.

Source: Ministry of Higher Education and Science.

Last updated: 13-01-2025