World Bank · Health
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.
- Coverage
- 183 of 238 countries
- Latest data
- 2019
- Series
- 183
- Unit
- per 100,000 population
- Licence
- CC BY 4.0
- Retrieved
- 2026-11-07
- Indicator
- mortality-rate-attributed-to-unsafe-water-unsafe-sanitation
- Interva ID
- worldbank-mortality-rate-attributed-to-unsafe-water-unsafe-sanitation
Recency
stale
data to 2019; catalog to 2025
Provenance
2 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 2019; the catalog broadly reports to 2025, so this data is 6 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%0 of 183 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 183 of the 238 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 2019.
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 2026-11-07.
By country
Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene for each of the 183 countries it covers, with the full history.
- Afghanistan 2019–2019
- Albania 2019–2019
- Algeria 2019–2019
- Angola 2019–2019
- Antigua and Barbuda 2019–2019
- Argentina 2019–2019
- Armenia 2019–2019
- Australia 2019–2019
- Austria 2019–2019
- Azerbaijan 2019–2019
- Bahamas 2019–2019
- Bahrain 2019–2019
- Bangladesh 2019–2019
- Barbados 2019–2019
- Belarus 2019–2019
- Belgium 2019–2019
- Belize 2019–2019
- Benin 2019–2019
- Bhutan 2019–2019
- Bolivia, Plurinational State of 2019–2019
- Bosnia and Herzegovina 2019–2019
- Botswana 2019–2019
- Brazil 2019–2019
- Brunei Darussalam 2019–2019
- Bulgaria 2019–2019
- Burkina Faso 2019–2019
- Burundi 2019–2019
- Cabo Verde 2019–2019
- Cambodia 2019–2019
- Cameroon 2019–2019
- Canada 2019–2019
- Central African Republic 2019–2019
- Chad 2019–2019
- Chile 2019–2019
- China 2019–2019
- Colombia 2019–2019
- Comoros 2019–2019
- Congo 2019–2019
- Congo, The Democratic Republic of the 2019–2019
- Costa Rica 2019–2019
- Côte d'Ivoire 2019–2019
- Croatia 2019–2019
- Cuba 2019–2019
- Cyprus 2019–2019
- Czechia 2019–2019
- Denmark 2019–2019
- Djibouti 2019–2019
- Dominican Republic 2019–2019
- Ecuador 2019–2019
- Egypt 2019–2019
- El Salvador 2019–2019
- Equatorial Guinea 2019–2019
- Eritrea 2019–2019
- Estonia 2019–2019
- Eswatini 2019–2019
- Ethiopia 2019–2019
- Fiji 2019–2019
- Finland 2019–2019
- France 2019–2019
- Gabon 2019–2019
- Gambia 2019–2019
- Georgia 2019–2019
- Germany 2019–2019
- Ghana 2019–2019
- Greece 2019–2019
- Grenada 2019–2019
- Guatemala 2019–2019
- Guinea 2019–2019
- Guinea-Bissau 2019–2019
- Guyana 2019–2019
- Haiti 2019–2019
- Honduras 2019–2019
- Hungary 2019–2019
- Iceland 2019–2019
- India 2019–2019
- Indonesia 2019–2019
- Iran, Islamic Republic of 2019–2019
- Iraq 2019–2019
- Ireland 2019–2019
- Israel 2019–2019
- Italy 2019–2019
- Jamaica 2019–2019
- Japan 2019–2019
- Jordan 2019–2019
- Kazakhstan 2019–2019
- Kenya 2019–2019
- Kiribati 2019–2019
- Korea, Democratic People's Republic of 2019–2019
- Korea, Republic of 2019–2019
- Kuwait 2019–2019
- Kyrgyzstan 2019–2019
- Lao People's Democratic Republic 2019–2019
- Latvia 2019–2019
- Lebanon 2019–2019
- Lesotho 2019–2019
- Liberia 2019–2019
- Libya 2019–2019
- Lithuania 2019–2019
- Luxembourg 2019–2019
- Madagascar 2019–2019
- Malawi 2019–2019
- Malaysia 2019–2019
- Maldives 2019–2019
- Mali 2019–2019
- Malta 2019–2019
- Mauritania 2019–2019
- Mauritius 2019–2019
- Mexico 2019–2019
- Micronesia, Federated States of 2019–2019
- Moldova, Republic of 2019–2019
- Mongolia 2019–2019
- Montenegro 2019–2019
- Morocco 2019–2019
- Mozambique 2019–2019
- Myanmar 2019–2019
- Namibia 2019–2019
- Nepal 2019–2019
- Netherlands 2019–2019
- New Zealand 2019–2019
- Nicaragua 2019–2019
- Niger 2019–2019
- Nigeria 2019–2019
- North Macedonia 2019–2019
- Norway 2019–2019
- Oman 2019–2019
- Pakistan 2019–2019
- Panama 2019–2019
- Papua New Guinea 2019–2019
- Paraguay 2019–2019
- Peru 2019–2019
- Philippines 2019–2019
- Poland 2019–2019
- Portugal 2019–2019
- Qatar 2019–2019
- Romania 2019–2019
- Russian Federation 2019–2019
- Rwanda 2019–2019
- Saint Lucia 2019–2019
- Saint Vincent and the Grenadines 2019–2019
- Samoa 2019–2019
- Sao Tome and Principe 2019–2019
- Saudi Arabia 2019–2019
- Senegal 2019–2019
- Serbia 2019–2019
- Seychelles 2019–2019
- Sierra Leone 2019–2019
- Singapore 2019–2019
- Slovakia 2019–2019
- Slovenia 2019–2019
- Solomon Islands 2019–2019
- Somalia 2019–2019
- South Africa 2019–2019
- South Sudan 2019–2019
- Spain 2019–2019
- Sri Lanka 2019–2019
- Sudan 2019–2019
- Suriname 2019–2019
- Sweden 2019–2019
- Switzerland 2019–2019
- Syrian Arab Republic 2019–2019
- Tajikistan 2019–2019
- Tanzania, United Republic of 2019–2019
- Thailand 2019–2019
- Timor-Leste 2019–2019
- Togo 2019–2019
- Tonga 2019–2019
- Trinidad and Tobago 2019–2019
- Tunisia 2019–2019
- Türkiye 2019–2019
- Turkmenistan 2019–2019
- Uganda 2019–2019
- Ukraine 2019–2019
- United Arab Emirates 2019–2019
- United Kingdom 2019–2019
- United States 2019–2019
- Uruguay 2019–2019
- Uzbekistan 2019–2019
- Vanuatu 2019–2019
- Venezuela, Bolivarian Republic of 2019–2019
- Viet Nam 2019–2019
- Yemen 2019–2019
- Zambia 2019–2019
- Zimbabwe 2019–2019
Latest observations
| Country | Period | Value | Unit |
|---|---|---|---|
| Afghanistan | 2019 | 16.60 | per 100,000 population |
| Albania | 2019 | 3.20 | per 100,000 population |
| Algeria | 2019 | 4.10 | per 100,000 population |
| Angola | 2019 | 48.90 | per 100,000 population |
| Antigua and Barbuda | 2019 | 2.50 | per 100,000 population |
| Argentina | 2019 | 11.40 | per 100,000 population |
| Armenia | 2019 | 5.80 | per 100,000 population |
| Australia | 2019 | 1.90 | per 100,000 population |
| Austria | 2019 | 2 | per 100,000 population |
| Azerbaijan | 2019 | 3.60 | per 100,000 population |
Provenance
Who produced these figures, as World Bank declares it — not inferred, and each line says which published field it was read from.
Produced by
World Health Organization
World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho
declared by worldbank in sourceOrganization
Read from
World Bank
World Development Indicators
declared by worldbank in source
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 Bank (2026). Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene. Interva. https://interva.co/dataset/worldbank-mortality-rate-attributed-to-unsafe-water-unsafe-sanitation (accessed 2026-11-07). catalog snapshot 2026-11-07.
@misc{interva-worldbank-mortality-rate-attributed-to-unsafe-water-unsafe-sanitation,
title = {Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene},
author = {World Bank},
year = {2026},
howpublished = {\url{https://interva.co/dataset/worldbank-mortality-rate-attributed-to-unsafe-water-unsafe-sanitation}},
note = {Interva dataset worldbank-mortality-rate-attributed-to-unsafe-water-unsafe-sanitation; catalog snapshot 2026-11-07},
urldate = {2026-11-07}
}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.
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