Indicator full name: Accidental drowning and submersion, 30-44 years, per 100 000 population, by sex (age-standardized death rate)
Unit: deaths per 100 000
Dimensions:
- Age group (AGE_GRP_5)
- 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: 1968—2022
Indicator is part of data set(s):
Last updated: 08 October 2024
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Countries with no data (2):
- Andorra
- Monaco
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CDR(0 year), Accidental drowning and submersion, per 100 000
MDB
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CDR(0 year), Accidental falls, per 100 000
MDB
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CDR(0 year), Accidental poisoning, per 100 000
MDB
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CDR(0 year), Accidents, per 100 000
MDB
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CDR(0 year), Exposure to smoke, fire and flames, per 100 000
MDB
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CDR(0 year), External causes of injury and poisoning, per 100 000
MDB
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CDR(0 year), Motor vehicle traffic accidents, per 100 000
MDB
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CDR(0 year), Transport accidents, per 100 000
MDB
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CDR(1-4), Accidental drowning and submersion, per 100 000
MDB
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CDR(1-4), Accidental falls, per 100 000
MDB
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Reformulation measures to reduce the content of specific nutrients
NutritionPolicy
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SDR(45-59), Sudden and unattended death, cause unknown, per 100 000
MDB
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Telepsychiatry programmes (operating levels and types)
eHealth
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Mortality from external causes, females
Health2020
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CDR(1-4), Neoplasms, per 100 000
MDB
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Number of new cases of trachea, bronchus and lung cancer, males
HFA-DB
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SDR(30-44), External causes of injury and poisoning, per 100 000
MDB
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Implementation of action plan monitored
AMR
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SDR(60-74), Other acute respiratory infections, per 100 000
MDB
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SDR, cerebrovascular diseases, all ages, per 100 000, females
HFA-DB
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Proportion of funding contribution for eHealth programmes provided by public–private partnership funding sources over the previous two years
eHealth
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The importance of limitation as a barrier to eLearning supporting universal health coverage
eHealth
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SDR, selected smoking-related causes, per 100 000
HFA-DB
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Number of people receiving social/disability benefits
HFA-DB
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CDR(1-4), Accidental falls, per 100 000
MDB
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Professional nurses and midwives employed by hospital in FTE, total number
HlthRes-DB
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Been bullied once or twice
HBSC
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SDR, external causes of injury and poisoning, 5–19
HFA-DB
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Other staff employed by hospital, per 10 000 population
HlthRes-DB
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IHR - Chemical events
JMF
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Accidental drowning and submersion, 30-44 years, per 100 000 population (age-standardized death rate) (Line chart)
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Accidental drowning and submersion, 30-44 years, per 100 000 population (age-standardized death rate), female (Line chart)
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Accidental drowning and submersion, 30-44 years, per 100 000 population (age-standardized death rate), male (Line chart)
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SDR(30-44), Accidental drowning and submersion, per 100 000 (Boxplot 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