World Health Organization · Health
13-15-years old any alcoholic beverage consumed in past 30 days,
13-15-years old any alcoholic beverage consumed in past 30 days, (%). WHO Global Health Observatory indicator SA_0000001786.
- Coverage
- 70 of 251 countries
- Latest data
- 2017
- Series
- 70
- Unit
- percent
- Licence
- CC BY-NC-SA 3.0 IGO
- Retrieved
- 2026-11-07
- Indicator
- who-sa-0000001786
- Interva ID
- who-sa-0000001786
Recency
stale
data to 2017; catalog to 2025
Provenance
71 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 2017; the catalog broadly reports to 2025, so this data is 8 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%22 of 70 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
MeasuredCovers 70 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
MeasuredThe median series has 1 observations; the earliest begins in 2003.
Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.
Revisions
MeasuredNo 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 assessedNo declared schema or validation rules are attached to this dataset yet.
Validity
Not assessedNo field-level validation rules are attached to this dataset yet.
Consistency
Not assessedCross-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
13-15-years old any alcoholic beverage consumed in past 30 days, for each of the 70 countries it covers, with the full history.
- Antigua and Barbuda 2009–2009
- Argentina 2007–2012
- Bahamas 2013–2013
- Bangladesh 2014–2014
- Barbados 2011–2011
- Belize 2011–2011
- Benin 2009–2016
- Bhutan 2016–2016
- Bolivia, Plurinational State of 2012–2012
- Botswana 2005–2005
- Brunei Darussalam 2014–2014
- Cambodia 2013–2013
- Chile 2013–2013
- Cook Islands 2010–2015
- Costa Rica 2009–2009
- Dominica 2009–2009
- Dominican Republic 2016–2016
- El Salvador 2013–2013
- Eswatini 2003–2003
- Fiji 2010–2016
- Ghana 2007–2012
- Grenada 2008–2008
- Guatemala 2009–2015
- Guyana 2004–2010
- Honduras 2012–2012
- Indonesia 2007–2015
- Jamaica 2010–2017
- Kenya 2003–2003
- Kiribati 2011–2011
- Lao People's Democratic Republic 2015–2015
- Lebanon 2005–2017
- Liberia 2017–2017
- Malawi 2009–2009
- Malaysia 2012–2012
- Maldives 2009–2009
- Mauritius 2007–2017
- Mongolia 2010–2013
- Morocco 2006–2006
- Mozambique 2017–2017
- Myanmar 2007–2016
- Namibia 2004–2013
- Nauru 2011–2011
- Nepal 2015–2015
- Niue 2010–2010
- North Macedonia 2007–2007
- Paraguay 2017–2017
- Peru 2010–2010
- Philippines 2007–2015
- Saint Lucia 2007–2007
- Saint Vincent and the Grenadines 2007–2007
- Samoa 2011–2011
- Senegal 2005–2005
- Seychelles 2007–2015
- Sierra Leone 2017–2017
- Solomon Islands 2011–2011
- Sri Lanka 2016–2016
- Suriname 2009–2016
- Syrian Arab Republic 2010–2010
- Tajikistan 2006–2006
- Tanzania, United Republic of 2014–2014
- Thailand 2008–2015
- Timor-Leste 2015–2015
- Tonga 2010–2017
- Trinidad and Tobago 2007–2017
- Tuvalu 2013–2013
- Uganda 2003–2003
- Uruguay 2006–2012
- Vanuatu 2011–2016
- Viet Nam 2013–2013
- Zambia 2004–2004
Latest observations
| Country | Period | Value | Unit |
|---|---|---|---|
| Jamaica | 2017 | 45.10 | percent |
| Lebanon | 2017 | 17.50 | percent |
| Liberia | 2017 | 14.50 | percent |
| Mauritius | 2017 | 21 | percent |
| Mozambique | 2017 | 9.60 | percent |
| Paraguay | 2017 | 28.50 | percent |
| Sierra Leone | 2017 | 10.10 | percent |
| Tonga | 2017 | 10.40 | percent |
| Trinidad and Tobago | 2017 | 29.80 | percent |
| Benin | 2016 | 39.30 | percent |
Provenance
Who produced these figures, as World Health Organization declares it — not inferred, and each line says which published field it was read from.
Produced by
DATASOURCE_SA_0000001786_COK
3 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_LBN
3 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_MUS
3 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_PHL
3 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_TTO
3 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_ARG
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_BEN
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_FJI
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_GHA
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_GTM
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_GUY
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_IDN
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_JAM
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_MMR
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_MNG
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_NAM
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_SUR
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_SYC
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_THA
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_TON
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_URY
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_VUT
2 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_ATG
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_BGD
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_BHS
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_BLZ
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_BOL
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_BRB
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_BRN
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_BTN
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_BWA
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_CHL
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_CRI
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_DMA
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_DOM
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_GRD
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_HND
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_KEN
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_KHM
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_KIR
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_LAO
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_LBR
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_LCA
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_LKA
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_MAR
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_MDV
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_MKD
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_MOZ
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_MWI
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_MYS
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_NIU
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_NPL
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_NRU
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_PER
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_PRY
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_SEN
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_SLB
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_SLE
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_SLV
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_SWZ
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_SYR
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_TJK
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_TLS
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_TUV
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_TZA
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_UGA
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_VCT
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_VNM
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_WSM
1 observation(s)
declared by who in DataSourceDim
DATASOURCE_SA_0000001786_ZMB
1 observation(s)
declared by who in DataSourceDim
Read from
World Health Organization
Global Health Observatory — SA_0000001786
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). 13-15-years old any alcoholic beverage consumed in past 30 days,. Interva. https://interva.co/dataset/who-sa-0000001786 (accessed 2026-11-08). catalog snapshot 2026-11-07.
@misc{interva-who-sa-0000001786,
title = {13-15-years old any alcoholic beverage consumed in past 30 days,},
author = {World Health Organization},
year = {2026},
howpublished = {\url{https://interva.co/dataset/who-sa-0000001786}},
note = {Interva dataset who-sa-0000001786; 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-0000001786curl -o who-sa-0000001786.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-sa-0000001786/downloadcurl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-sa-0000001786/citation?accessed=YYYY-MM-DD"curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/who-sa-0000001786/qualityFull schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs
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