Indicator full name: Mid-year population, age 15-19 years, by sex
Unit: number of persons
Dimensions:
- Age group (AGE_GRP_6)
- Country/Area (COUNTRY/AREA)
- Supranational group of countries (COUNTRY_GRP)
- Sex (SEX)
- Subnational country codes for HFA-MDB (SUBNATIONAL_MDB)
- Year of measure (YEAR)
Years data is available: 1950—2022
Indicator is part of data set(s):
Last updated: 08 October 2024
Export to:
A critical error happened while trying to prepare the export files.
Sorry for the inconvenience, the support team is already notified about this issue. Please try again later.
(Sub)regional averages available for:
- WHO European Region
- Members of the European Union
- Members of the EU before May 2004 (EU15)
- Members of the EU after May 2004 (EU13)
- Members of the EU before Feb 2020
- Commonwealth of Independent States
- Central Asian Republics Information Network members (CARINFONET)
- South-eastern Europe Health Network members (SEEHN)
- Nordic countries
- Small countries
- Western Balkans
View in Indicators Explorer
Explore this indicator's data in a specialized tool
Related indicators in
MDB
-
Classification version used to code underlying cause of death (see Definitions) MDB
-
Mid-year population, age 0 years MDB
-
Mid-year population, age 10-14 years MDB
-
Mid-year population, age 1-4 years MDB
-
Mid-year population, age 20-24 years MDB
-
Mid-year population, age 25-29 years MDB
-
Mid-year population, age 30-34 years MDB
-
Mid-year population, age 35-39 years MDB
-
Mid-year population, age 40-44 years MDB
-
Mid-year population, age 45-49 years MDB
You might be interested in as well
-
Impoverishing health spending UHCFP EPW
-
Proportion of tertiary institutions (public and private) that teach students of health sciences about the use of social media for health eHealth
-
SDR(75+), Viral hepatitis, per 100 000 MDB
-
Need and use of assistive products - Deafblind communicators for vision ASSISTIVETECH
-
SDR, motor vehicle traffic accidents, all ages, per 100 000 HFA-DB
-
Deaths(#), females, Complications of pregnancy, childbirth and puerperium MDB
-
Satisfaction with assistive products for different environments and activities ASSISTIVETECH
-
SDR(45-59), Endocrine, nutritional and metabolic diseases, per 100 000 MDB
-
Age-standardized prevalence of current tobacco smoking among people aged 15 years and over, WHO estimates (%), females HFA-DB
-
SDR, motor vehicle traffic accidents, 65+, per 100 0000 HFA-DB
-
Barriers to accessing assistive products ASSISTIVETECH
-
Recommendations on energy and nutrient intakes for pregnant and lactating women MaternalNutrition
-
Deaths(#), Viral hepatitis MDB
-
SDR(30-44), Chronic lower respiratory diseases, per 100 000 MDB
-
SDR, trachea/bronchus/lung cancer, 65+, per 100 000, males HFA-DB
-
Mid-year population, age 40-44 years MDB
-
SDR, homicide and intentional injury, 0–64, per 100 000, males HFA-DB
-
Professionals delivering recommendations on newborn, infant and young child nutrition MaternalNutrition
-
The importance of lack of integration as a barrier to Big Data supporting universal health coverage eHealth
-
Hospital discharges, mental and behavioural disorders, per 100 000 HFA-DB
Datasets
- European Health for All database (HFA-DB)
- Assistive Technology
- European Programme of Work
- Digital Health
- European mortality database (MDB)
- Rehabilitation
- Health-enhancing physical activity
- Health 2020 indicators
- European database on human and technical resources for health (HlthRes-DB)
- Global eHealth survey 2015
- Health Behaviour in School-aged Children (HBSC)
- Child and adolescent health
- Environment and Health Information System (ENHIS)
- Seasonal influenza vaccination policies and coverage
- Maternal nutrition, physical activity and weight gain during pregnancy
- Antimicrobial resistance
- Global nutrition policy survey
- Status of child and adolescent health policies in Europe
- Joint Monitoring Framework (JMF)
- Financial protection in the European Region
-
Mid-year population, age 15-19 years (Line chart)
-
Mid-year population, age 15-19 years, female (Line chart)
-
Mid-year population, age 15-19 years, male (Line chart)
A critical error happened while trying to prepare the export files.
Sorry for the inconvenience, the support team is already notified about this issue. Please try again later.
See full graph
Back to preview
Chart export
x px
Optimized for PowerPoint presentation slides
Data set notes
European mortality database
European mortality database allows age- and sex-specific analysis of mortality trends by broad disease-groups, as well as dis-aggregated to 67 specific causes of death. Data reach back to 1980.
http://www.euro.who.int/en/data-and-evidence/databases/mortality-indicator-database-mortality-indicators-by-67-causes-of-death,-age-and-sex-hfa-mdb
European mortality database allows age- and sex-specific analysis of mortality trends by broad disease-groups, as well as dis-aggregated to 67 specific causes of death. Data reach back to 1980.
http://www.euro.who.int/en/data-and-evidence/databases/mortality-indicator-database-mortality-indicators-by-67-causes-of-death,-age-and-sex-hfa-mdb
Indicator notes
No information
Country/Area notes
No information