Indicator full name: Transport accidents, 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
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CDR(0 year), Accidental falls, per 100 000
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CDR(0 year), Accidental poisoning, per 100 000
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CDR(0 year), Accidents, per 100 000
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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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SDR, adverse effects of therapeutic agents, all ages, per 100 000, females
HFA-DB
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mHealth programmes that provide access to electronic patient information (operating levels and types)
eHealth
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SDR(25-64), Malignant neoplasm of esophagus, per 100 000
MDB
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SDR(25-64), Congenital malformations and chromosomal abnormalities, per 100 000
MDB
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Average number of calories available per person per day (kcal)
HFA-DB
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Mid-year population, age 55-59 years
MDB
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The importance of new analytical methods as a barrier to Big Data supporting universal health coverage
eHealth
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SDR(1-19), All causes, per 100 000
MDB
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SDR(65+), Meningitis, per 100 000
MDB
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SDR, bronchitis/emphysema/asthma, 0–64, per 100 000
HFA-DB
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Governs the use of big data in the health sector
DH
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Practising midwives, per 10 000 population
HlthRes-DB
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SDR(15-29), Congenital malformations and chromosomal abnormalities, per 100 000
MDB
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SDR, homicide and intentional injury, all ages, per 100 000, females
HFA-DB
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SDR(25-64), Tuberculosis, per 100 000
MDB
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SDR, Malignant neoplasm of lymphoid and haematopoietic tissue, per 100 000
MDB
-
Mid-year population, age 25-29 years
MDB
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SDR(60-74), Malignant neoplasm of larynx, trachea, bronchus and lung, per 100 000
MDB
-
Tertiary institutions provide training to students of health sciences on the use of ICT for health (eHealth)
eHealth
-
SDR(65+), Malignant neoplasm of larynx, trachea, bronchus and lung, per 100 000
MDB
-
Transport accidents, 30-44 years, per 100 000 population (age-standardized death rate) (Line chart)
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Transport accidents, 30-44 years, per 100 000 population (age-standardized death rate), female (Line chart)
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Transport accidents, 30-44 years, per 100 000 population (age-standardized death rate), male (Line chart)
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SDR(30-44), Transport accidents, 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