This involves mapping at a suitable administrative level of the Sustainable Development Goal JMP service level categories for WASH monitoring in schools
Strategic.
Baseline.
Prior to response.
WASH cluster.
Planning for WASH investments and resource allocations.
Consider indicators for change/improvement over time. If these indicators exist then consider time series mapping or other visualisations such as graphs.
Administration boundaries - such as GADM or common operational datasets (CODs) from Humanitarian Data Exchange (HDX).
Schools and other education facilities - OpenStreetMap
This involves mapping at a suitable administrative level of the Sustainable Development Goal JMP service level categories for Health care facilities.
Strategic.
Baseline.
Prior to response.
WASH cluster.
Planning for WASH investments and resource allocations.
Consider indicators for change/improvement over time. If these indicators exist then consider time series mapping or other visualisations such as graphs.
Administration boundaries - such as GADM or common operational datasets (CODs) from Humanitarian Data Exchange (HDX).
Health facilities
HealthSites.io
This involves mapping at a suitable administrative level of the Sustainable Development Goal JMP service level categories for hygiene which refers to the the conditions and practices that help maintain health and prevent spread of disease such as handwashing.
Strategic.
Baseline.
Prior to response.
WASH cluster.
Planning for WASH investments and resource allocations.
Consider indicators for change/improvement over time. If these indicators exist then consider time series mapping or other visualisations such as graphs.
Administration boundaries - such as GADM or common operational datasets (CODs) from Humanitarian Data Exchange (HDX).
This involves mapping at a suitable administrative level of the Sustainable Development Goal JMP service level categories for drinking water services.
Strategic.
Baseline.
Prior to response.
WASH cluster.
Planning for WASH investments and resource allocations.
Consider indicators for change/improvement over time. If these indicators exist then consider time series mapping or other visualisations such as graphs.
Administration boundaries - such as GADM or common operational datasets (CODs) from Humanitarian Data Exchange (HDX).
Water sources used by the main household for drinking, cooking, personal hygiene and other domestic uses. This could include open water sources (consider OpenStreetMap) and groundwater and wells.
The Joint Monitoring Programme (JMP) for WASH was set up by WHO and UNICEF in the 1990s to monitor WASH progress. It now monitors the progress of WASH on its SDGs:
SDG 6.1 - achieve universal and equitable access to safe and affordable drinking water for all.
SDG 6.2 - achieve access to adequate and equitable sanitation and hygiene for all, and end open defecation, paying special attention to the needs of women and girls and those in vulnerable situations
The JMP also monitors other WASH related SDGs:
SDG 1.4 - ensure that all men and women, particularly the poor and the vulnerable, have equal rights to economic resources, as well as access to basic services, ownership, and control over land and other forms of property, inheritance, natural resources, appropriate new technology, and financial services including microfinance
SDG 3.9 - substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water, and soil pollution and contamination
SDG 4.a - build and upgrade education facilities that are child, disability and gender sensitive and provide safe, non-violent, inclusive and effective learning environments for all
Recent progress on achieving these SDGs can be found in the Progress on Drinking Water, Sanitation and Hygiene 2017 and The Knowledge Base for Achieving the Sustainable Development Goal Targets on Water Supply,Sanitation and Hygiene.
The JMP uses a concept of service ladders to categorise the management of drinking water, sanitation and hygiene. This also enables them to benchmark and compare WASH progress across countries of different stages of development.
Different map products can be created for development WASH related information and data and these can be explored in the following pages.
Drinking water services
Sanitation services
Hygiene services
Educational facilities services
Health care facilities services
This involves mapping at a suitable administrative level of the Sustainable Development Goal JMP service level categories for sanitation services which is to do with the management of excreta.
Strategic.
Baseline.
Prior to response.
WASH cluster.
Planning for WASH investments and resource allocations.
Consider indicators for change/improvement over time. If these indicators exist then consider time series mapping or other visualisations such as graphs.
Administration boundaries - such as GADM or common operational datasets (CODs) from Humanitarian Data Exchange (HDX).
Sewage treatment centres - consider OpenStreetMap).