Indicator full name: Mid-year population, age 25-29 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
-
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 15-19 years
MDB
-
Mid-year population, age 20-24 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
-
Associate nurses employed by hospital in FTE, total number
HlthRes-DB
-
The importance of cost–effectiveness as a barrier to mHealth supporting universal health coverage
eHealth
-
SDR(60-74), All causes, per 100 000
MDB
-
SDR(0-14), Chronic liver disease and cirrhosis, per 100 000
MDB
-
Legislation exists that governs the national sharing of digital data between health professionals in other health services through the use of an EHR
eHealth
-
Reformulation measures to reduce the content of specific nutrients
NutritionPolicy
-
% of population aged 0–14 years
HFA-DB
-
SDR, endocrine/nutrition/metabolic disease/disorder involving immune mechanism, 0–64, per 100 000
HFA-DB
-
Public expenditure on health, PPP$ per capita, WHO estimates
HFA-DB
-
Abortions per 1000 live births, age 35+ years
HFA-DB
-
SDR, trachea/bronchus/lung cancer, 65+, per 100 000
HFA-DB
-
SDR(75+), females, Malignant neoplasm of cervix uteri, per 100 000
MDB
-
Population using safe drinking water (%)
EPW
-
SDR, transport accidents, all ages, per 100 000
HFA-DB
-
SDR(15-29), Malignant neoplasm of lymphoid and haematopoietic tissue, per 100 000
MDB
-
Measures to control portion sizes
NutritionPolicy
-
SDR, external causes of injury and poisoning, all ages, per 100 000, females
HFA-DB
-
CDR(0 year), Transport accidents, per 100 000
MDB
-
Deaths(#), Accidental drowning and submersion
MDB
-
SDR(30-44), Diseases of the circulatory system, per 100 000
MDB
-
Mid-year population, age 25-29 years (Line chart)
-
Mid-year population, age 25-29 years, female (Line chart)
-
Mid-year population, age 25-29 years, male (Line chart)
See full graph
Back to preview
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