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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_ARCHIVED.

Coverage
50 of 251 countries
Latest data
2015
Series
50
Unit
percent
Licence
CC BY-NC-SA 3.0 IGO
Retrieved
2026-11-07
Indicator
who-sa-0000001471-archived
Interva ID
who-sa-0000001471-archived

Recency

stale

data to 2015; catalog to 2025

Provenance

51 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

67%

33 of 50 series skip at least one year inside their own span; the median series reports 67% 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 50 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 4 observations; the earliest begins in 1991.

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 50 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Albania20154.90percent
Latvia201510.90percent
Poland20156.70percent
Russian Federation20158.30percent
Singapore20150.90percent
Austria20145.80percent
Ecuador20146.40percent
Poland20147.40percent
Singapore20141.50percent
Slovenia20140.30percent

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_NZL

    12 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CHE

    10 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_GBR

    10 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_KOR

    10 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_LVA

    8 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_POL

    8 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_DEU

    7 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_AUT

    6 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CAN

    6 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_DNK

    6 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_EST

    6 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_FIN

    6 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_SGP

    6 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_UKR

    6 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CZE

    5 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_ECU

    5 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_HUN

    5 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_MKD

    5 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_RUS

    5 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_SVN

    5 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_VEN

    5 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_ALB

    4 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_AZE

    4 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CYP

    4 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_FRA

    4 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_LTU

    4 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_PRT

    4 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_COK

    3 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_GEO

    3 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_HRV

    3 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_ROU

    3 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_SVK

    3 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_BEL

    2 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_ISL

    2 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_SWE

    2 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_USA

    2 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_AUS

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_BGR

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_BLR

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CHL

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_CHN

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_GTM

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_JPN

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_KHM

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_LAO

    1 observation(s)

    declared by who in DataSourceDim

    DATASOURCE_SA_0000001471_LUX

    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_SWZ

    1 observation(s)

    declared by who in DataSourceDim

  2. Read from

    World Health Organization

    Global Health Observatory — SA_0000001471_ARCHIVED

    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-archived (accessed 2026-11-08). catalog snapshot 2026-11-07.

BibTeX
@misc{interva-who-sa-0000001471-archived,
  title        = {Alcohol-related road traffic crashes},
  author       = {World Health Organization},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/who-sa-0000001471-archived}},
  note         = {Interva dataset who-sa-0000001471-archived; 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-archived
curl -o who-sa-0000001471-archived.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-sa-0000001471-archived/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-sa-0000001471-archived/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-sa-0000001471-archived/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.