Contact
Wahdatullah Momand
UNICEF
UNICEF
Joseph Waithaka
DACAAR
DACAAR
François Bellet
UNICEF
UNICEF
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Requirements ($)$332.8 million
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Current funding ($)$97.7 million
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Coverage29.4%
Cluster humanitarian profile
17-Sep-2024
Cluster humanitarian profile
Indicators overview
17-Sep-2024
Indicators overview
| Indicator | Unit | Baseline | Target | Reached | Reached % |
|---|---|---|---|---|---|
| CO1: Vulnerable people in need receive a timely equitable and safe, life-saving and effective emergency WASH assistance | |||||
|
INOP1: # of people accessing safe water (as per cluster standards / sufficient quantity of safe water for drinking, cooking and personal hygiene / # people disaggregated by sex & age)
|
People
|
0
|
3,128,876
|
5,285,384
|
169%
|
|
INOP2: # of collective water points rehabilitated improved/constructed (wells, boreholes, water taps stands, systems)
|
Water Points
|
0
|
600
|
2,452
|
409%
|
|
INOP3: # people accessing safe sanitation (as per cluster standards / gender and disability sensitive sanitation facilities / # people disaggregated by sex & age)
|
People
|
0
|
718,858
|
1,459,262
|
203%
|
|
INOP4: # of people reached with hygiene promotion (as per cluster standards / handwashing behavior change programs / # people disaggregated by sex & age)
|
People
|
0
|
7,822,189
|
7,544,341
|
96.4%
|
|
INOP5: # of people reached with critical WASH supplies (# people disaggregated by sex & age)
|
People
|
0
|
3,915,725
|
12,001,605
|
306%
|
|
INOP6: # of warehouses with WASH critical supplies available for cluster partners
|
Buildings
|
44
|
54
|
40
|
74.1%
|
| CO2: SAM children under five admitted at nutritional facility level receive a WASH minimum package of services to prevent waterborne and fecoral malnutrition associated diseases at household level during the months of their treatment and the lean period. | |||||
|
INOP7: # SAM children accessing a WASH minimum package at household level (as per cluster standards / including a kit of critical supplies to cover the duration of their nutritional treatment/lean period / # children disaggregated by sex)
|
Children
|
0
|
250,000
|
69,705
|
27.9%
|
| CO3: Vulnerable people in hotspots of infectious diseases (AWD/cholera, COVID-19, Dengue etc.) benefitting from massive WASH interventions or campaign to mitigate the spread of the outbreaks | |||||
|
INOP8: # people in AWD/cholera hotspots/risk areas accessing water supply with regular shock or line chlorination of wells/boreholes/systems (& people disaggregated by sex & age...)
|
People
|
0
|
3,128,875
|
4,310,033
|
138%
|
| CO4: Vulnerable people with disabilities receiving WASH assistance as per cluster standard after consultation on designs for people with special needs. | |||||
|
INOP09: # People with Disabilities receiving a WASH assistance delivered after inclusive needs assessment (to overcome the barriers in accessing the WASH facilities at community and household level)
|
People
|
0
|
100,000
|
25,666
|
25.7%
|
|
INOP10: # organizations reporting on the use of the WASH Perception Indicators (as per the AAP WG & WASH Cluster joint document)
|
Organizations
|
0
|
20
|
0
|
0%
|
|
INOP11: # women and girls receiving WASH assistance after consultations on GBV risks
|
Women/Girls
|
0
|
350,000
|
0
|
0%
|
|
INOP12: # organizations reporting on the use of the WASH GBV checklist for assessment and/ or monitoring (as per the GBV Sub Cluster & WASH Cluster joint checklist)
|
Organizations
|
0
|
20
|
3
|
15.0%
|
|
INOP13: # organization reporting PSEA focal points with clear reporting channel including alternative channels for the humanitarian beneficiaries
|
Organizations
|
0
|
20
|
1
|
5%
|
| CO5: Vulnerable people of all gender and diversities are supported to build their resilience and live their lives | |||||
|
INOP14: # of people accessing safe water (as per cluster standards / sufficient quantity of safe water for drinking, cooking and personal hygiene / # people disaggregated by sex & age)
|
People
|
0
|
2,085,917
|
757,263
|
36.3%
|
|
INOP15: # of collective water points rehabilitated improved/constructed (wells, boreholes, water taps stands, systems)
|
Water Points
|
0
|
700
|
259
|
37%
|
|
INOP16: # people accessing safe sanitation (as per cluster standards / gender and disability sensitive sanitation facilities / # people disaggregated by sex & age)
|
People
|
0
|
89,857
|
121,186
|
135%
|
|
INOP17: # of people reached with hygiene promotion (as per cluster standards / handwashing behavior change programs / # people disaggregated by sex & age)
|
People
|
0
|
1,303,698
|
514,748
|
39.5%
|
|
INOP18: # of people accessing safe water (as per cluster standards / sufficient quantity of safe water for drinking, cooking and personal hygiene / # people disaggregated by sex & age)
|
People
|
0
|
834,366
|
302,905
|
36.3%
|
|
INOP19: # of collective water points rehabilitated improved/constructed (wells, boreholes, water taps stands, systems)
|
Water Points
|
0
|
280
|
103
|
36.8%
|
|
INOP20: # people accessing safe sanitation (as per cluster standards / gender and disability sensitive sanitation facilities / # people disaggregated by sex & age...)
|
People
|
0
|
35,943
|
48,474
|
135%
|
|
INOP21: # of people reached with hygiene promotion (as per cluster standards / handwashing behavior change programs / # people disaggregated by sex & age...)
|
People
|
0
|
521,479
|
205,898
|
39.5%
|
|
INOP22: # of people accessing safe water (as per cluster standards / sufficient quantity of safe water for drinking, cooking and personal hygiene / # people disaggregated by sex & age)
|
People
|
0
|
1,251,551
|
454,358
|
36.3%
|
|
INOP23: # of collective water points rehabilitated improved/constructed (wells, boreholes, water taps stands, systems)
|
Water Points
|
0
|
420
|
155
|
36.9%
|
|
INOP24: # people accessing safe sanitation (as per cluster standards / gender and disability sensitive sanitation facilities / # people disaggregated by sex & age)
|
People
|
0
|
53,915
|
72,711
|
135%
|
|
INOP25: # of people reached with hygiene promotion (as per cluster standards / handwashing behavior change programs / # people disaggregated by sex & age)
|
People
|
0
|
782,219
|
308,849
|
39.5%
|