Indicator full name: Mid-year population, age 35-39 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
-
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 40-44 years
MDB
-
Mid-year population, age 45-49 years
MDB
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SDR(60-74), External causes of injury and poisoning, per 100 000
MDB
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The importance of capacity as a barrier to EHR programmes
eHealth
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SDR, infectious and parasitic diseases, 65+, per 100 000, females
HFA-DB
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SDR(65+), Diseases of the respiratory system, per 100 000
MDB
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Need and use of assistive products - Smartphones to support hearing
ASSISTIVETECH
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Preference for online communication
HBSC
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Components of counselling or education on complementary feeding
NutritionPolicy
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% of population with secondary education only aged 25+ years
HFA-DB
-
Catastrophic health spending, poorest quintile
UHCFP
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SDR, Accidental poisoning, per 100 000
MDB
-
Incidence of congenital rubella per 100 000
HFA-DB
-
SDR(15-29), Homicide and assault, per 100 000
MDB
-
Professionally active dentists, head count
HlthRes-DB
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Data collected on soft drink consumption for children and adolescents
BaselineSurvey
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Surgical wound infection rate (%), all operations
HFA-DB
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Deaths(#), Diseases of the blood, blood forming organs and certain immunity disorders
MDB
-
The importance of effectiveness as a barrier to mHealth supporting universal health coverage
eHealth
-
CDR(0 year), External causes of injury and poisoning, per 100 000
MDB
-
Catastrophic health spending, poorest quintile
UHCFP
-
Pharmacists per 10 000 population
EPW
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Mid-year population, age 35-39 years (Line chart)
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Mid-year population, age 35-39 years, female (Line chart)
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Mid-year population, age 35-39 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