Indicator full name: Complications of pregnancy, childbirth and puerperium, females, number of deaths
Unit: number of deaths
Dimensions:
- Age group (AGE_GRP_LIST)
- 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: 1979—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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CDR(0 year), Certain conditions originating in the perinatal period, per 100 000
MDB
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CDR(0 year), Congenital malformations and chromosomal abnormalities, per 100 000
MDB
-
CDR(1-4), Congenital malformations and chromosomal abnormalities, per 100 000
MDB
-
Deaths(#), Certain conditions originating in the perinatal period
MDB
-
Deaths(#), Congenital malformations and chromosomal abnormalities
MDB
-
SDR(0-14), Congenital malformations and chromosomal abnormalities, per 100 000
MDB
-
SDR(0-64), Congenital malformations and chromosomal abnormalities, per 100 000
MDB
-
SDR(1-19), Congenital malformations and chromosomal abnormalities, per 100 000
MDB
-
SDR(15-24), Congenital malformations and chromosomal abnormalities, per 100 000
MDB
-
SDR(15-29), Congenital malformations and chromosomal abnormalities, per 100 000
MDB
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Professionally active pharmacists, per 10 000 population
HlthRes-DB
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The importance of funding as a barrier to telehealth supporting universal health coverage
eHealth
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eLearning used to help teach health sciences students in pre-service education
eHealth
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Number of hospital discharges, ischaemic heart disease
HFA-DB
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Wine consumed in pure alcohol, litres per capita, age 15+
HFA-DB
-
SDR(45-59), Accidents, per 100 000
MDB
-
SDR(25-64), External causes of injury and poisoning, per 100 000
MDB
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Condom use at last intercourse (15 years old)
ChildAdolescentHealth
-
Level of DDT pollutant concentration in human milk
EnvironmentHealth
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Proportion of tertiary institutions (public and private) that offer ICT for health (eHealth) courses
eHealth
-
Differences in cannabis initiation, by FAS
HBSC
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SDR(30-44), Meningococcal infection, per 100 000
MDB
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SDR, suicide and self-inflicted injury, all ages, per 100 000, females
HFA-DB
-
Mid-year population, age 40-44 years
MDB
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SDR, Mental and behavioural disorders, per 100 000
MDB
-
SDR, trachea/bronchus/lung cancer, all ages, per 100 000, females
HFA-DB
-
Differences in bullied others once or more, by FAS
HBSC
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National eHealth policy or strategy refers to the objectives or key elements of universal health coverage
eHealth
-
Professional nursing graduates, head count
HlthRes-DB
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SDR, motor vehicle traffic accidents, 0–64, per 100 000
HFA-DB
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Complications of pregnancy, childbirth and puerperium, females, number of deaths (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