Indicator full name: Mid-year population, age 45-49 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
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(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
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Classification version used to code underlying cause of death (see Definitions)
MDB
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Mid-year population, age 0 years
MDB
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Mid-year population, age 10-14 years
MDB
-
Mid-year population, age 1-4 years
MDB
-
Mid-year population, age 15-19 years
MDB
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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
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% infants vaccinated against invasive disease due to Haemophilus influenzae type b
HFA-DB
-
National policy or strategy regulating the use of Big Data in the health sector exists
eHealth
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Physical activity at the workplace
PhysicalActivity
-
Number of new cases of trachea, bronchus and lung cancer, males
HFA-DB
-
Drinking wine
HBSC
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Associate professional nursing graduates, head count
HlthRes-DB
-
SDR, diseases of circulatory system, all ages, per 100 000
HFA-DB
-
Policy for initiating exclusive breastfeeding exists
BaselineSurvey
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Need and use of assistive products - Deafblind communicators for hearing
ASSISTIVETECH
-
SDR, motor vehicle traffic accidents, all ages, per 100 000
HFA-DB
-
Potential criminal liability for children
ChildAdolescentHealth
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SDR(45-59), Symptoms, signs, abnormal findings, ill-defined causes, per 100 000
MDB
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Implementation of recommendations on newborn, infant and young child nutrition
MaternalNutrition
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Legislation exists that allows individuals electronic access to their own health-related data when held in an EHR
eHealth
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Obesity, females
Health2020
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Acute care hospital beds, surgical group of specialties, per 100 000
HFA-DB
-
Data for major interventions disaggregated by rural, suburban and specific urban areas
BaselineSurvey
-
SDR, tuberculosis, all ages, per 100 000
HFA-DB
-
SDR(0-14), Diseases of the digestive system, per 100 000
MDB
-
SDR(65+), Malignant neoplasm of lymphoid and haematopoietic tissue, per 100 000
MDB
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Mid-year population, age 45-49 years (Line chart)
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Mid-year population, age 45-49 years, female (Line chart)
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Mid-year population, age 45-49 years, male (Line chart)
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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
Indicators: 851
Updated: 18 October 2024
Contact:
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