Global Water, Sanitation & Hygiene (WASH) Indicators by Country (1960–2023)
About this data
Comprehensive dataset covering water access, sanitation, hygiene, and freshwater resource indicators for 217 countries and territories from 1960 to 2023. ## Sources - **World Bank Open Data API** (WHO/UNICEF Joint Monitoring Programme for Water Supply, Sanitation and Hygiene) - **FAO AQUASTAT** via World Bank (freshwater withdrawal and resource data) - **UN-Water / UNESCO** via World Bank (renewable freshwater resources) - **WHO Global Health Observatory** via World Bank (WASH-related mortality, child mortality) ## Key Features - **13,888 rows** covering 217 countries × 64 years (1960–2023) - **40 columns** spanning drinking water access, sanitation, hygiene, freshwater resources, health outcomes, and demographics - Urban/rural breakdowns for water, sanitation, and hygiene indicators - Freshwater withdrawal by sector (agriculture, industry, domestic) - Child mortality and WASH-attributable mortality rates - Population, urbanization, and GDP context variables - World Bank region and income level classifications ## Indicator Groups 1. **Drinking Water Access** (6 indicators): Safely managed and basic service levels, urban/rural splits 2. **Sanitation Access** (6 indicators): Safely managed and basic service levels, urban/rural splits 3. **Open Defecation** (3 indicators): National, urban, and rural rates 4. **Hygiene** (2 indicators): Basic handwashing facility access, national and rural 5. **Freshwater Resources** (7 indicators): Renewable resources, withdrawal rates by sector 6. **Health Outcomes** (4 indicators): WASH mortality, under-5 mortality, infant mortality, diarrhea treatment 7. **Context** (4 indicators): Population, urbanization, rural share, GDP per capita ## Use Cases - Analyzing global progress toward SDG 6 (Clean Water and Sanitation) - Identifying countries with persistent water/sanitation gaps - Studying the relationship between WASH access and child mortality - Comparing urban vs. rural infrastructure development - Water stress and resource allocation analysis - Climate adaptation and water security research
Schema
| Name | Type | Description |
|---|---|---|
| country_name | string | |
| country_code | string | |
| region | string | |
| income_level | string | |
| capital_city | string | |
| latitude | string | |
| longitude | string | |
| year | string | |
| safely_managed_drinking_water_pct | string | |
| basic_drinking_water_pct | string | |
| rural_safely_managed_water_pct | string | |
| urban_safely_managed_water_pct | string | |
| rural_basic_water_pct | string | |
| urban_basic_water_pct | string | |
| safely_managed_sanitation_pct | string | |
| basic_sanitation_pct | string | |
| rural_safely_managed_sanitation_pct | string | |
| urban_safely_managed_sanitation_pct | string | |
| rural_basic_sanitation_pct | string | |
| urban_basic_sanitation_pct | string | |
| open_defecation_pct | string | |
| rural_open_defecation_pct | string | |
| urban_open_defecation_pct | string | |
| basic_handwashing_facilities_pct | string | |
| rural_handwashing_facilities_pct | string | |
| renewable_freshwater_per_capita_cubic_m | string | |
| renewable_freshwater_total_billion_cubic_m | string | |
| freshwater_withdrawal_pct_of_resources | string | |
| freshwater_withdrawal_agriculture_pct | string | |
| freshwater_withdrawal_industry_pct | string | |
| freshwater_withdrawal_domestic_pct | string | |
| total_water_withdrawal_billion_cubic_m | string | |
| wash_mortality_rate_per_100k | string | |
| under5_mortality_rate_per_1000 | string | |
| infant_mortality_rate_per_1000 | string | |
| diarrhea_treatment_ors_pct | string | |
| population_total | string | |
| urban_population_pct | string | |
| rural_population_pct | string | |
| gdp_per_capita_usd | string |
Sample Data
Preview a sample of the data before downloading.
For AI Agents
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
"mcpServers": {
"databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
}
}
# 2. Your agent can then call:
search_datasets({ query: "Global Water, Sanitation & Hyg" })
// Found: 279b85ba-cc86-44af-af24-57d11e75bf57
get_download_url({ dataset_id: "279b85ba-cc86-44af-af24-57d11e75bf57" }) // free — no API key needed# Free dataset — no API key required: curl https://api.databazaar.io/datasets/279b85ba-cc86-44af-af24-57d11e75bf57/download-url