Health, lifestyle, use of medical facilities; 2000-2009

Health, lifestyle, use of medical facilities; 2000-2009

Characteristics users Type of figure Periods Medical consumption Taking medication Taking prescribed medication Type of prescribed medication Antibiotics (%)
Total characteristics users Numbers 2009 6.2
Total characteristics users Standard errors 2009 0.4
Men Numbers 2009 5.9
Men Standard errors 2009 0.6
Women Numbers 2009 6.4
Women Standard errors 2009 0.5
Age cat. 2: 0-14 yrs Numbers 2009 11.8
Age cat. 2: 0-14 yrs Standard errors 2009 2.0
Age cat. 2: 15-24 yrs Numbers 2009 4.9
Age cat. 2: 15-24 yrs Standard errors 2009 1.4
Age cat. 2: 25-44 yrs Numbers 2009 8.2
Age cat. 2: 25-44 yrs Standard errors 2009 1.0
Age cat. 2: 45-64 yrs Numbers 2009 4.8
Age cat. 2: 45-64 yrs Standard errors 2009 0.6
Age cat. 2: 65 yrs and older Numbers 2009 5.6
Age cat. 2: 65 yrs and older Standard errors 2009 0.7
Age cat. 5 x sex: men 0-14 yrs Numbers 2009 12.1
Age cat. 5 x sex: men 0-14 yrs Standard errors 2009 2.7
Age cat. 5 x sex: men 15-24 yrs Numbers 2009 1.9
Age cat. 5 x sex: men 15-24 yrs Standard errors 2009 1.4
Age cat. 5 x sex: men 25-44 yrs Numbers 2009 8.5
Age cat. 5 x sex: men 25-44 yrs Standard errors 2009 1.7
Age cat. 5 x sex: men 45-64 yrs Numbers 2009 4.1
Age cat. 5 x sex: men 45-64 yrs Standard errors 2009 0.8
Age cat. 5 x sex: men 65 yrs and older Numbers 2009 5.6
Age cat. 5 x sex: men 65 yrs and older Standard errors 2009 1.1
Age cat. 5 x sex: women 0-14 yrs Numbers 2009 11.3
Age cat. 5 x sex: women 0-14 yrs Standard errors 2009 2.9
Age cat. 5 x sex: women 15-24 yrs Numbers 2009 7.2
Age cat. 5 x sex: women 15-24 yrs Standard errors 2009 2.3
Age cat. 5 x sex: women 25-44 yrs Numbers 2009 7.9
Age cat. 5 x sex: women 25-44 yrs Standard errors 2009 1.3
Age cat. 5 x sex: women 45-65 yrs Numbers 2009 5.4
Age cat. 5 x sex: women 45-65 yrs Standard errors 2009 0.8
Age cat. 5 x sex: women 65 yrs and older Numbers 2009 5.5
Age cat. 5 x sex: women 65 yrs and older Standard errors 2009 0.9
Age cat.1: 0-11 yrs Numbers 2009 13.9
Age cat.1: 0-11 yrs Standard errors 2009 2.5
Age cat. 1: 12-17 yrs Numbers 2009 7.3
Age cat. 1: 12-17 yrs Standard errors 2009 2.2
Age cat. 1: 18-24 yrs Numbers 2009 3.1
Age cat. 1: 18-24 yrs Standard errors 2009 1.4
Age cat. 1: 25-34 yrs Numbers 2009 9.2
Age cat. 1: 25-34 yrs Standard errors 2009 1.7
Age cat. 1: 35-44 yrs Numbers 2009 7.5
Age cat. 1: 35-44 yrs Standard errors 2009 1.3
Age cat. 1: 45-54 yrs Numbers 2009 5.0
Age cat. 1: 45-54 yrs Standard errors 2009 0.9
Age cat. 1: 55-64 yrs Numbers 2009 4.6
Age cat. 1: 55-64 yrs Standard errors 2009 0.8
Age cat. 1: 65-74 yrs Numbers 2009 6.1
Age cat. 1: 65-74 yrs Standard errors 2009 1.0
Age cat. 1: 75 yrs and older Numbers 2009 5.0
Age cat. 1: 75 yrs and older Standard errors 2009 1.0
Age cat. 4 x sex: men, 0-11 yrs Numbers 2009 15.3
Age cat. 4 x sex: men, 0-11 yrs Standard errors 2009 3.5
Age cat. 4 x sex: men, 12-17 yrs Numbers 2009 3.8
Age cat. 4 x sex: men, 12-17 yrs Standard errors 2009 2.2
Age cat. 4 x sex: men, 18-24 yrs Numbers 2009 0.9
Age cat. 4 x sex: men, 18-24 yrs Standard errors 2009 1.2
Age cat. 4 x sex: men, 25-34 yrs Numbers 2009 7.7
Age cat. 4 x sex: men, 25-34 yrs Standard errors 2009 2.6
Age cat. 4 x sex: men, 35-44 yrs Numbers 2009 9.0
Age cat. 4 x sex: men, 35-44 yrs Standard errors 2009 2.2
Age cat. 4 x sex: men, 45-54 yrs Numbers 2009 5.0
Age cat. 4 x sex: men, 45-54 yrs Standard errors 2009 1.3
Age cat. 4 x sex: men, 55-64 yrs Numbers 2009 3.5
Age cat. 4 x sex: men, 55-64 yrs Standard errors 2009 1.0
Age cat. 4 x sex: men, 65-74 yrs Numbers 2009 6.4
Age cat. 4 x sex: men, 65-74 yrs Standard errors 2009 1.5
Age cat. 4 x sex: men, 75 yrs and older Numbers 2009 4.4
Age cat. 4 x sex: men, 75 yrs and older Standard errors 2009 1.5
Age cat. 4 x sex: women, 0-11 yrs Numbers 2009 12.1
Age cat. 4 x sex: women, 0-11 yrs Standard errors 2009 3.5
Age cat. 4 x sex: women, 12-17 yrs Numbers 2009 11.1
Age cat. 4 x sex: women, 12-17 yrs Standard errors 2009 3.8
Age cat. 4 x sex: women, 18-24 yrs Numbers 2009 4.7
Age cat. 4 x sex: women, 18-24 yrs Standard errors 2009 2.2
Age cat. 4 x sex: women, 25-34 yrs Numbers 2009 10.2
Age cat. 4 x sex: women, 25-34 yrs Standard errors 2009 2.4
Age cat. 4 x sex: women, 35-44 yrs Numbers 2009 6.5
Age cat. 4 x sex: women, 35-44 yrs Standard errors 2009 1.5
Age cat. 4 x sex: women, 45-54 yrs Numbers 2009 5.1
Age cat. 4 x sex: women, 45-54 yrs Standard errors 2009 1.2
Age cat. 4 x sex: women, 55-64 yrs Numbers 2009 5.6
Age cat. 4 x sex: women, 55-64 yrs Standard errors 2009 1.2
Age cat. 4 x sex: women, 65-74 yrs Numbers 2009 5.8
Age cat. 4 x sex: women, 65-74 yrs Standard errors 2009 1.3
Age cat 4 x sex: women, 75 yrs and older Numbers 2009 5.3
Age cat 4 x sex: women, 75 yrs and older Standard errors 2009 1.3
Health insurance fund Numbers 2009
Health insurance fund Standard errors 2009
Private health insurance Numbers 2009
Private health insurance Standard errors 2009
Level of ed.: primary education Numbers 2009 5.5
Level of ed.: primary education Standard errors 2009 0.8
Level of ed.: pre-vocational education Numbers 2009 5.8
Level of ed.: pre-vocational education Standard errors 2009 1.0
Level of ed.: junior gen. sec. education Numbers 2009 6.2
Level of ed.: junior gen. sec. education Standard errors 2009 1.3
Source: CBS.
Explanation of symbols

Dataset is not available.


This table provides data about the health, lifestyle and medical and use of medical care of the Dutch population.
The data are based on the Health Interview Survey conducted by Statistics Netherlands. The Health Interview Survey is a continuous survey. Its population consists of Dutch residents of all ages in private households.

Data available from 2000 till 2009.

Changes as of 8 June 2018:
The table has been stopped per 8th of June 2018.

Status of the figures:
The figures in this table are definitive.

When will new figures be published?
Not applicable.

Description topics

Medical consumption
Taking medication
Taking prescribed medication
Percentage of persons who took (prescribed) medication in the fortnight preceding the interview, including medicines which were prescribed earlier. The contraceptive pill and medicines prescribed during hospital admissions are not taken into account.
Type of prescribed medication
Percentage of persons who take prescribed medicines by type of medicine. The respondent can choose 8 medicines from a list of 18 types of medicines (including the categories 'other' and 'unknown'). The answer refers to medication taken in the fortnight preceding the interview.
Antibiotics
Percentage of persons taking prescribed antibiotics, e.g. penicillin and sulpha preparations.