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European Health for All database
The following abbreviations are used in the indicator titles:
Indicators: 565
Updated: 18 October 2024
Contact:
The following abbreviations are used in the indicator titles:
• SDR: age-standardized death rates (see HFA-DB user manual/Technical notes, page 13, for details)
• FTE: full-time equivalent
• PP: physical persons
• PPP$: purchasing power parities expressed in US $, an internationally comparable scale reflecting the relative domestic purchasing powers of currencies.
Prevalence of diabetes mellitus (%)
Indicator code: E040606.T This indicator shares the definition with the parent indicator \"Number of all cases of diabetes mellitus at year's end\".
Cumulative number of patients with diabetes (ICD-9: 250; ICD-10: E10-E14) at the end of the calendar year. Data from the national diabetes register, whenever available, or from the routine reporting system._
Indicator code: E040606.T This indicator shares the definition with the parent indicator \"Number of all cases of diabetes mellitus at year's end\".
Cumulative number of patients with diabetes (ICD-9: 250; ICD-10: E10-E14) at the end of the calendar year. Data from the national diabetes register, whenever available, or from the routine reporting system._
Armenia
Source of data: National Health Information Analytic Center, Ministry of Health of the Republic of
Armenia http://moh.am/?section=static_pages/index&id=625&subID=824,29.
Data collected annually, reference period: 31 December.
Armenia http://moh.am/?section=static_pages/index&id=625&subID=824,29.
Data collected annually, reference period: 31 December.
Belgium
Source for 1997, 2001 and 2004 is National Health Interview Survey
(https://hisia.wiv-isp.be/SitePages/home.aspx). The surveys are nationally representative and
include persons aged 15 years and over. The prevalence is that of self-reported diabetes mellitus,
and the number of all diabetes mellitus cases was calculated by applying the prevalence from the
Health Interview Survey to the mid-year population.
Source for 2006 onwards is the health atlas of the Belgian InterMutualistic Agency (IMA-AIM);
http://atlas.ima-aim.be. The IMA-AIM ATLAS includes figures for all persons entitled to
reimbursement from the compulsory health insurance with an address in Belgium. The population of
beneficiaries corresponds to 99% of the population included in the National Register. This
population corresponds to 99% of the entire Belgian population. Small deviations may exist for
Brussels and the border communities. The source data are administrative data and billing data for
reimbursed care. In the atlas, diabetes prevalence is defined as the number of beneficiaries
receiving antidiabetics or diabetes-related products, per 1000 beneficiaries. However, it should be
noted that approximately 10-12% of diabetes patients are not on medication.
(https://hisia.wiv-isp.be/SitePages/home.aspx). The surveys are nationally representative and
include persons aged 15 years and over. The prevalence is that of self-reported diabetes mellitus,
and the number of all diabetes mellitus cases was calculated by applying the prevalence from the
Health Interview Survey to the mid-year population.
Source for 2006 onwards is the health atlas of the Belgian InterMutualistic Agency (IMA-AIM);
http://atlas.ima-aim.be. The IMA-AIM ATLAS includes figures for all persons entitled to
reimbursement from the compulsory health insurance with an address in Belgium. The population of
beneficiaries corresponds to 99% of the population included in the National Register. This
population corresponds to 99% of the entire Belgian population. Small deviations may exist for
Brussels and the border communities. The source data are administrative data and billing data for
reimbursed care. In the atlas, diabetes prevalence is defined as the number of beneficiaries
receiving antidiabetics or diabetes-related products, per 1000 beneficiaries. However, it should be
noted that approximately 10-12% of diabetes patients are not on medication.
Bosnia and Herzegovina
Public Health Institute - Department of health statistics and informatics -Annual ambulant report.
Available up to the war time on yearly basis. Source: PHI war period. There are no selected data.
Public Health Institute of Federation of B&H; Department for Health Statistics and Informatics
Public Health Institute of Republic of Srpska. Department for social medicine with health
organization and health economics. Law on Health Evidence and Statistical Research in Health. Annual
report of health facilities
Department for Health of Brcko District
Available up to the war time on yearly basis. Source: PHI war period. There are no selected data.
Public Health Institute of Federation of B&H; Department for Health Statistics and Informatics
Public Health Institute of Republic of Srpska. Department for social medicine with health
organization and health economics. Law on Health Evidence and Statistical Research in Health. Annual
report of health facilities
Department for Health of Brcko District
Croatia
Data source: Croatian National Diabetes Registry (CroDiab) and Central Health Information System of
the Republic of Croatia (CEZIH).
the Republic of Croatia (CEZIH).
Cyprus
No data are available
Czechia
Source: Institute of Health Information and Statistics of CR (IHIS CR). Survey on activity of health
establishment in out-patient-care (diabetology).
In 2014 data not available
establishment in out-patient-care (diabetology).
In 2014 data not available
Denmark
Source: The National Diabetes Registry, The Danish Health Data Authority.
http://www.ssi.dk/Sundhedsdataogit/Dataformidling/Sundhedsdata/Diabetes.aspx
http://www.ssi.dk/Sundhedsdataogit/Dataformidling/Sundhedsdata/Diabetes.aspx
Estonia
Estonian Health Interview Survey 2006. Face-to-face interview survey, persons over 15 years, last 12
months prevalence.
Source: National Institute for Health Development
months prevalence.
Source: National Institute for Health Development
Finland
Source: Social Insurance Institute, number of patients entitled to free medicine.
France
Sourceÿof data: Institut national de veille sanitaire http://www.invs.sante.fr/
Deviation from definition: Number of persons with prescribed anti-diabetic medicine.
Deviation from definition: Number of persons with prescribed anti-diabetic medicine.
Georgia
Source: National Centre for Disease Control and Public Health of Georgia (NCDC) (http://www.ncdc.ge)
Germany
Source:
2012: Robert Koch Institute (RKI), German Health Interview and Examination Survey for Adults
(DEGS1).
1998: Robert Koch Institute (RKI), German National Health Interview and Examination Survey 1998
(BGS98).
http://www.rki.de or http://www.degs-studie.de
Coverage: Data are estimates based on the results of the ?German Health Interview and Examination
Survey for Adults? (DEGS1) and the ?German National Health Interview and Examination Survey 1998?
(BGS98).
Methodology: The ?German Health Interview and Examination Survey for Adults? (DEGS1) is part of the
health monitoring of the Robert Koch Institute (RKI) and is designed as a combined cross-sectional
and longitudinal survey. The aim of the study is to repeatedly provide nationally representative
data on the health status of the adult general population (18-79 years) in Germany.
In order to perform both cross-sectional and longitudinal analyses, a mixed study design was
implemented. Therefore, a sample of participants was randomly chosen from local population
registries and then supplemented by former participants of the ?German National Health Interview and
Examination Survey 1998? (BGS98) ? a previous nationwide cross-sectional study conducted by the RKI.
A nonresponse analysis and a comparison of several indicators of the study with official statistics
show a high representativeness of this net random sample for the German resident population.
The interview and examination programme comprised standardised interviews, such as a medical
interview conducted by a physician and an interview on pharmaceutical drug use, as well as
self-administered questionnaires on health and nutritional issues. Further, physical examinations
were performed (anthropometry, blood pressure, pulse, and thyroid gland volume) and blood and urine
were analysed.
The German National Health Interview and Examination Survey 1998 (BGS98) was part of the health
monitoring of the Robert Koch Institute (RKI). The aim of the survey was to collect data on the
health and health determinants of the adult general population (18-79 years) in Germany on a regular
basis.
The health data were collected in all federal states using uniform characteristics. BGS98 was thus
the first nationwide representative survey on the health status of Germany's adult population.
The BGS98, collected data required to describe health status, morbidity trends and regional
differences, including information on diseases and risk factors, health-related modes of behaviour
living conditions and the extent to which people use medical services.
BGS98 derived its health data from personal interviews and physical examinations, questionnaires and
medical or laboratory examinations forms (blood, serum, urine partly).
2012: Robert Koch Institute (RKI), German Health Interview and Examination Survey for Adults
(DEGS1).
1998: Robert Koch Institute (RKI), German National Health Interview and Examination Survey 1998
(BGS98).
http://www.rki.de or http://www.degs-studie.de
Coverage: Data are estimates based on the results of the ?German Health Interview and Examination
Survey for Adults? (DEGS1) and the ?German National Health Interview and Examination Survey 1998?
(BGS98).
Methodology: The ?German Health Interview and Examination Survey for Adults? (DEGS1) is part of the
health monitoring of the Robert Koch Institute (RKI) and is designed as a combined cross-sectional
and longitudinal survey. The aim of the study is to repeatedly provide nationally representative
data on the health status of the adult general population (18-79 years) in Germany.
In order to perform both cross-sectional and longitudinal analyses, a mixed study design was
implemented. Therefore, a sample of participants was randomly chosen from local population
registries and then supplemented by former participants of the ?German National Health Interview and
Examination Survey 1998? (BGS98) ? a previous nationwide cross-sectional study conducted by the RKI.
A nonresponse analysis and a comparison of several indicators of the study with official statistics
show a high representativeness of this net random sample for the German resident population.
The interview and examination programme comprised standardised interviews, such as a medical
interview conducted by a physician and an interview on pharmaceutical drug use, as well as
self-administered questionnaires on health and nutritional issues. Further, physical examinations
were performed (anthropometry, blood pressure, pulse, and thyroid gland volume) and blood and urine
were analysed.
The German National Health Interview and Examination Survey 1998 (BGS98) was part of the health
monitoring of the Robert Koch Institute (RKI). The aim of the survey was to collect data on the
health and health determinants of the adult general population (18-79 years) in Germany on a regular
basis.
The health data were collected in all federal states using uniform characteristics. BGS98 was thus
the first nationwide representative survey on the health status of Germany's adult population.
The BGS98, collected data required to describe health status, morbidity trends and regional
differences, including information on diseases and risk factors, health-related modes of behaviour
living conditions and the extent to which people use medical services.
BGS98 derived its health data from personal interviews and physical examinations, questionnaires and
medical or laboratory examinations forms (blood, serum, urine partly).
Greece
Data relates to hospital discharges.
Hungary
Data are not available.
Iceland
The figures show only type I, i.e. insulin-dependent diabetes. Based on surveys of all diabetic
patients in Iceland taking insulin, in 1979 and 1989. Based on a study from 1995 the estimated total
no. of diabetics is 4650, NIDDM = 4200 and IDDM = 450. The estimated total number includes diagnosed
and undiagnosed individuals, those who are treated with drugs and those who are only treated with
diet. Source: A.B. Hreidarsson, Department of Medicine, The National University Hospital in Iceland.
patients in Iceland taking insulin, in 1979 and 1989. Based on a study from 1995 the estimated total
no. of diabetics is 4650, NIDDM = 4200 and IDDM = 450. The estimated total number includes diagnosed
and undiagnosed individuals, those who are treated with drugs and those who are only treated with
diet. Source: A.B. Hreidarsson, Department of Medicine, The National University Hospital in Iceland.
Ireland
Data are not available.
Israel
Source: Use of Health Services Surveys 1-3/1993, 1996/97, 1999/2000, Central Bureau of Statistics
and Ministry of Health. Since 2003, Quality Indicators for Community Health Care in Israel based on
data received from Health Care Plans. Definition until 2010 was based on purchase of at least 3
diabetes medications in year before indicator. Since 2010 definition widened to include those with
2 glucose results over 200 mg/dl or HbA1c over 6.5%, leading to discontinuity in series.
and Ministry of Health. Since 2003, Quality Indicators for Community Health Care in Israel based on
data received from Health Care Plans. Definition until 2010 was based on purchase of at least 3
diabetes medications in year before indicator. Since 2010 definition widened to include those with
2 glucose results over 200 mg/dl or HbA1c over 6.5%, leading to discontinuity in series.
Italy
Source: ISTAT Multipurpose survey.
Kyrgyzstan
2014, 2015: the increase is due to increase in number of patients with diabetes of type II.
Latvia
Source of data: Since 2002 the data source has been the Diabetes Mellitus Register.
Break in time series: improved registration practice of the patients as from 2005.
Break in time series: improved registration practice of the patients as from 2005.
Lithuania
Source: Up to 2005: LHIC (Lithuanian Health Information Centre) annual report data. From 2006: HI
HIC data from Compulsory Health Insurance Database.
Coverage: the number of persons with diabetes mellitus diagnosis registered in primary, inpatient
and outpatient health care institutions during the year.
HIC data from Compulsory Health Insurance Database.
Coverage: the number of persons with diabetes mellitus diagnosis registered in primary, inpatient
and outpatient health care institutions during the year.
Luxembourg
Data are not available.
Malta
Patients attending health services diabetes clinics (public sector). 90% national data. 2008
prevalence estimated from European Health Interview Survey 2008.
prevalence estimated from European Health Interview Survey 2008.
Montenegro
Data are not available.
Netherlands
Source of data: RIVM (The National Institute for Public Health and the Environment), based on LINH
(Netherlands Information Network of General Practice). The LINH is based on 5 GP registers
(Netherlands Information Network of General Practice). The LINH is based on 5 GP registers
North Macedonia
The drop in the level of the trend in 1997 and onwards is due to a change in the source and the
methodology.
methodology.
Norway
Data are not available.
Poland
Data are not available.
Portugal
Source of data: National Diabetes Observatory - Annual Report
The figures presented are estimates for the Portuguese population between the ages of 20 and 79
years. In terms of stratification of the prevalence of diabetes, in 56% of the individuals the
disease had already been diagnosed, and in 44% it had not.
The figures presented are estimates for the Portuguese population between the ages of 20 and 79
years. In terms of stratification of the prevalence of diabetes, in 56% of the individuals the
disease had already been diagnosed, and in 44% it had not.
Romania
Source: Routine reporting system data (data collected from family physician).
Break in time series:
2014: since year 2014, data from private sector included.
Break in time series:
2014: since year 2014, data from private sector included.
Serbia
No data are available.
Slovakia
Source. National Health Information Centre (NIC)
Web page: http://www.nczisk.sk/Publikacie/Edicia_Zdravotnicka_statistika/Pages/default.aspx
Web page: http://www.nczisk.sk/Publikacie/Edicia_Zdravotnicka_statistika/Pages/default.aspx
Slovenia
Source of data:
1985 ? 1993: Source: Diabetes Registry of Slovenia (at University Medical Centre Ljubljana). The
registry has not been active since 1993. Pediatric Diabetes Register is established at Pediatric
Clinic Ljubljana.2002 - 2015: Source: Health Insurance Institute of Slovenia and The National
Institute of Public Health: National Prescription drugs database (data from Compulsory Health
Insurance Database). The total number includes all patients receiving antidiabetic drugs (ATC code
A10) and all types of diabetes. Coverage: national. Diabetic patients treated only with lifestyle
modification are not included; therefore the data before 1993 are not comparable with the data based
on the medication prescribed. Based on the prescription drug data, there were approx. 104.200
antidiabetic drug recipients in 2014.
1985 ? 1993: Source: Diabetes Registry of Slovenia (at University Medical Centre Ljubljana). The
registry has not been active since 1993. Pediatric Diabetes Register is established at Pediatric
Clinic Ljubljana.2002 - 2015: Source: Health Insurance Institute of Slovenia and The National
Institute of Public Health: National Prescription drugs database (data from Compulsory Health
Insurance Database). The total number includes all patients receiving antidiabetic drugs (ATC code
A10) and all types of diabetes. Coverage: national. Diabetic patients treated only with lifestyle
modification are not included; therefore the data before 1993 are not comparable with the data based
on the medication prescribed. Based on the prescription drug data, there were approx. 104.200
antidiabetic drug recipients in 2014.
Spain
Source: Ministry of Social Services and Equality ? National Statistic Institute (INE). National
Health Survey.. ( www.msssi.gob.es)
Representative sample of the population aged 15 years and above. Source: Ministry of Health, Social
Services and Equality ? National Statistics Institute (INE). National Health Survey (2003, 2006,
2011). (http://www.msssi.gob.es/estadEstudios/estadisticas/encuestaNacional/home.htm) European
Health Survey in Spain (2009, 2014) (www.ine.es ).
Health Survey.. ( www.msssi.gob.es)
Representative sample of the population aged 15 years and above. Source: Ministry of Health, Social
Services and Equality ? National Statistics Institute (INE). National Health Survey (2003, 2006,
2011). (http://www.msssi.gob.es/estadEstudios/estadisticas/encuestaNacional/home.htm) European
Health Survey in Spain (2009, 2014) (www.ine.es ).
Sweden
Data are not available. In Sweden approximately 4 per cent of the population suffer from Diabetes
(NDR rsrapport 2010). There is no national register with full coverage yet. Many of the diabetes
patients are treated as outpatients in hospitals and in primary health care.
(NDR rsrapport 2010). There is no national register with full coverage yet. Many of the diabetes
patients are treated as outpatients in hospitals and in primary health care.
Switzerland
Only hospital discharge data available yet. The information is not sufficient to include the series.
Turkmenistan
Source of data: Administrative medical statistics, forms: 5 ?Report on morbidity? and 025-2/y
?Statistical card of a patient?.
Note: The increase in the number of patients with diabetes mellitus is due to the fact that 2 new
medical institutions with a modern laboratory equipment were opened in Lebap province in 2011, which
led to an increase in laboratory tests, including biochemical tests and determination of blood
sugar, and as a cause to an improved detection of patients with diabetes.
?Statistical card of a patient?.
Note: The increase in the number of patients with diabetes mellitus is due to the fact that 2 new
medical institutions with a modern laboratory equipment were opened in Lebap province in 2011, which
led to an increase in laboratory tests, including biochemical tests and determination of blood
sugar, and as a cause to an improved detection of patients with diabetes.
Ukraine
Source: Centre of Health Statistics, Ministry of Health.
United Kingdom
Source of Data: England, Wales & N. Ireland - Quality & Outcomes Framework (QOF).
Scotland - .
2014 Scottish Diabetes Survey. The full report is available at
http://www.diabetesinscotland.org.uk/Publications/SDS2014.pdf
Coverage:
England, Wales & N. Ireland - Data is for patients who are registered with a GP practice and aged 17
and over, and is collected voluntarily with 90+% participation rate. The QOF registers are snapshots
of the total numbers on the registers as at 31st March for those practices who have chosen to
participate.
Scotland - It is for people of all ages with all types of diabetes (in contrast to the English
figure which is restricted to those aged 17 years and over).
Deviation from the Definition: Data in England as at end June in respective years. Data for Wales &
N. Ireland as at end of March in respective years.
Estimation Method: Data for Wales prior to 2007 not available so has been approximated on a pro rata
basis using its contribution to the UK total between 2007 and 2009
Break in Time Series: Time series data adjusted from 2005 to include Wales and N. Ireland data.
Wales (2014) - Numbers for a few years were amended due to incorrect entries last year.
Scotland - .
2014 Scottish Diabetes Survey. The full report is available at
http://www.diabetesinscotland.org.uk/Publications/SDS2014.pdf
Coverage:
England, Wales & N. Ireland - Data is for patients who are registered with a GP practice and aged 17
and over, and is collected voluntarily with 90+% participation rate. The QOF registers are snapshots
of the total numbers on the registers as at 31st March for those practices who have chosen to
participate.
Scotland - It is for people of all ages with all types of diabetes (in contrast to the English
figure which is restricted to those aged 17 years and over).
Deviation from the Definition: Data in England as at end June in respective years. Data for Wales &
N. Ireland as at end of March in respective years.
Estimation Method: Data for Wales prior to 2007 not available so has been approximated on a pro rata
basis using its contribution to the UK total between 2007 and 2009
Break in Time Series: Time series data adjusted from 2005 to include Wales and N. Ireland data.
Wales (2014) - Numbers for a few years were amended due to incorrect entries last year.