Indicator full name: Mid-year population, age 80-84 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
View in Indicators Explorer
Explore this indicator's data in a specialized tool
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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
-
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 35-39 years
MDB
-
Mid-year population, age 40-44 years
MDB
-
Heavy metal intake through food by adults
EnvironmentHealth
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SDR(0-14), females, Malignant neoplasm of other parts of uterus, per 100 000
MDB
-
Number of abortions, age 35+ years
HFA-DB
-
Telepathology programmes (operating levels and types)
eHealth
-
Age of transfer from child to adult mental health services
BaselineSurvey
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AMR action plan
AMR
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Professional nurses, licensed to practice, per 10 000 population
HlthRes-DB
-
SDR(0-64), Viral hepatitis, per 100 000
MDB
-
SDR, infectious and parasitic diseases, all ages, per 100 000, females
HFA-DB
-
Treatment adherence
DH
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Midwives licensed to practice, per 10 000 population
HlthRes-DB
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National policies or legislation to define medical jurisdiction, liability or reimbursement of eHealth services exist
eHealth
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The importance of cost–effectiveness as a barrier to eLearning supporting universal health coverage
eHealth
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SDR(65+), Malignant neoplasm of esophagus, per 100 000
MDB
-
The importance of policy as a barrier to EHR programmes
eHealth
-
SDR(0-64), Chronic liver disease and cirrhosis, per 100 000
MDB
-
SDR(1-19), Endocrine, nutritional and metabolic diseases, per 100 000
MDB
-
CDR(1-4), Transport accidents, per 100 000
MDB
-
Associate professional nurses employed by hospital, head count
HlthRes-DB
-
SDR, Endocrine, nutritional and metabolic diseases, per 100 000
MDB
-
Mid-year population, age 80-84 years (Line chart)
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Mid-year population, age 80-84 years, female (Line chart)
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Mid-year population, age 80-84 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