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World Health Organization · Health

Alcohol-related road traffic crashes

Alcohol-related road traffic crashes (% of all traffic crashes). WHO Global Health Observatory indicator SA_0000001471.

Coverage
67 of 251 countries
Latest data
2015
Series
67
Unit
percent
Licence
CC BY-NC-SA 3.0 IGO
Retrieved
2026-11-07
Indicator
who-sa-0000001471
Interva ID
who-sa-0000001471

Recency

stale

data to 2015; catalog to 2025

Provenance

68 steps

as the publisher declares it

Versions

1

catalog snapshots

Citation

BibTeX + CSL

versioned permalink

Quality profile

This profile describes what Interva can measure in the data. It does not claim the dataset is accurate, complete, or suitable for a particular use.

Recency

0%

Latest observation is 2015; the catalog broadly reports to 2025, so this data is 10 year(s) behind (stale).

Method: Compares the dataset's latest non-projected period with the year most datasets in the catalog end in. Up to 2 years behind is current — annual data is routinely published a year or two late — and more than 5 is stale. Measured from the data, not from when Interva last crawled it.

Temporal completeness

100%

20 of 67 series skip at least one year inside their own span; the median series reports 100% of its years.

Method: Per series, years present divided by years from its first to its last observation; the median across series is reported. Annual periods are assumed, which holds for every series in the catalog today.

Geographic coverage

Measured

Covers 67 of the 251 countries in the catalog.

Method: Counts distinct geographies with at least one observation. Not scored: a regional dataset covering its region completely is not deficient for omitting the rest of the world.

History depth

Measured

The median series has 7 observations; the earliest begins in 1990.

Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.

Revisions

Measured

No observation has been restated in any vintage Interva has recorded.

Method: Counts values the publisher changed between Interva's publishes. Not scored: revising estimates is ordinary and often a sign of care, and the count is here so a reader citing a figure knows whether it moves.

Schema conformity

Not assessed

No declared schema or validation rules are attached to this dataset yet.

Validity

Not assessed

No field-level validation rules are attached to this dataset yet.

Consistency

Not assessed

Cross-series consistency rules are not defined yet. The obvious first one — whether two publishers measuring one concept agree within a stated tolerance — is a candidate.

2 scored from the data, 3 described without a score, 3 not assessed. Pipeline integrity: all 5 checks pass. Assessed 2026-11-08.

By country

Alcohol-related road traffic crashes for each of the 67 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Albania20154.90percent
Austria20155.90percent
Azerbaijan20152.50percent
Bulgaria20152.80percent
Czechia20154.90percent
Denmark201511.50percent
Germany20155.90percent
Hungary20159.70percent
Latvia201510.90percent
Poland20156.70percent

Provenance

Who produced these figures, as World Health Organization declares it — not inferred, and each line says which published field it was read from.

  1. Produced by

    DATASOURCE_SA_0000001471_HUN

    26 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_LVA

    26 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_AUT

    23 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_DEU

    23 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_GBR

    23 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_NZL

    22 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_ALB

    21 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_KOR

    21 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_COK

    20 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_DNK

    20 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CHE

    19 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CAN

    18 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_FIN

    18 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_ISL

    18 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_EST

    17 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_ECU

    15 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_POL

    14 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_AZE

    13 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_RUS

    13 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CZE

    12 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_FRA

    12 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_GEO

    12 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_SGP

    12 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_VEN

    12 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_BLR

    10 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_BTN

    10 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_HRV

    10 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_LTU

    10 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_BGR

    9 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_MKD

    9 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_SVN

    8 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CYP

    7 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_SVK

    7 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_UKR

    7 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_LAO

    6 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CUB

    5 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_JPN

    5 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_KHM

    5 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CHL

    4 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_GTM

    4 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_PRT

    4 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_SWE

    4 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_BEL

    3 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_PLW

    3 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_ROU

    3 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_USA

    3 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_BOL

    2 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_GRC

    2 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_MNG

    2 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_ARM

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_AUS

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_BRA

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CHN

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_COL

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CRI

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_HND

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_IND

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_IRL

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_ISR

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_LUX

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_MAR

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_MOZ

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_MYS

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_NLD

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_PER

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_SWZ

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_THA

    1 observation(s)

    declared by who in DataSourceDim

  2. Read from

    World Health Organization

    Global Health Observatory — SA_0000001471

    declared by who in IndicatorCode

Versions

A vintage is a dated publish of the catalog. The current entry is a catalog snapshot; checksums are not recorded yet and are shown as such.

  • CurrentCurrent catalog snapshotchecksum not recorded

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Citation

Version: catalog snapshot 2026-11-07. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.

World Health Organization (2026). Alcohol-related road traffic crashes. Interva. https://interva.co/dataset/who-sa-0000001471 (accessed 2026-11-08). catalog snapshot 2026-11-07.

BibTeX
@misc{interva-who-sa-0000001471,
  title        = {Alcohol-related road traffic crashes},
  author       = {World Health Organization},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/who-sa-0000001471}},
  note         = {Interva dataset who-sa-0000001471; catalog snapshot 2026-11-07},
  urldate      = {2026-11-08}
}

DOI: not assigned (not assigned). The permalink is versioned by catalog snapshot; a stable dataset DOI is a later step.

API access

Every fact on this page is available from the API.

curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-sa-0000001471
curl -o who-sa-0000001471.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-sa-0000001471/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-sa-0000001471/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-sa-0000001471/quality

Full schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs

Open in the terminal to chart this series, compare it against other publishers, or export it with its provenance.