Water, Sanitation and Hygiene (WASH) Dry Spell Assessment

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1 Quarterly IDP Camp Directory, April 2016 AFGHANISTAN Water, Sanitation and Hygiene (WASH) Dry Spell Assessment JUNE REACH REACH more effective action humanitarian humanitarian action

2 Cover photo: A drying river in Panjshir, Afghanistan REACH, March 2018 About REACH REACH is a joint initiative of two international non-governmental organizations - ACTED and IMPACT Initiatives - and the UN Operational Satellite Applications Programme (UNOSAT). REACH aims to strengthen evidence-based decision making by aid actors through efficient data collection, management and analysis before, during and after an emergency. By doing so, REACH contributes to ensuring that communities affected by emergencies receive the support they need. All REACH activities are conducted in support to and within the framework of inter-agency aid coordination mechanisms. For more information please visit our website: You can contact us directly at: geneva@reachinitiative.org and follow us on 2

3 Contents Background... 6 Rationale & Objectives... 6 Methodology... 6 Other WASH Assessments in ISETs... 6 Research Questions... 7 Limitations... 7 Key Reported Figures & Findings... 7 Comparative Overview by District Badghis Province Abkamari District Ghormach District... Muqur (Badghis) District... Murghab District... Qadis District... Qala e Naw District Balkh Province... Charbulak District... Charkent District... Chemtal District... Dawlatabad (Balkh) District... Dehdadi District... Keshendeh District... Khulm District... Mazar e Sharif District... Nahr e Shahi District... Sholgareh District... Zari District Daykundi Province... Ashtarlay District... Giti District... Kajran District... Khadir District... Miramor District... Nili District... Sang e Takht District... Sharestan District... 3

4 4. Farah Province... Anardara District... Balabuluk District... Farah District... Pushtrod District Faryab Province... Almar District... Andkhoy District... Dawlatabad District... Khani Char Bagh District... Maymana District... Pashtunkot District... Qaramqol District... Qaysar District... Shirintagab District Hilmand Province... Garmser District... Lashkar Gah District... Marja District... Nad e Ali District... Nahr e Saraj District... Nawa e Barakzaiy District Jawjan Province... Aqcha District... Fayzabad (Jawzjan) District... Khanaqah District... Khwaja du Koh District... Mardyan District... Mingajik District... Qushtepa District... Shiberghan District Nimroz Province... Chakhansur District... Charburjak District... Delaram District... Khashrod District... Zaranj District... 4

5 9. Saripul Province... X Gosfandi District... Sancharak District... Saripul District... Sayad District... Sozmaqala District Uruzgan Province... Chora District... Dehrawud District... Gizab Uruzgan District... Shahid e Hassas District... Tirinkot District... 5

6 Context and Rationale Winter in Afghanistan is a critical period for securing successful food production and agricultural inputs for the entire year, as well as for replenishing groundwater aquifers. Compared to national multi-year averages, the winter season for 2017/2018 has been uncharacteristically dry, with below average snowfall and a precipitation deficit of up to 70%. This dry spell has affected access to livelihoods, in particular for communities relying on agriculture, and availability of water in the following months, as reported by the Food and Agriculture Organization of the United Nations (FAO). As a result, the dry spell has compounded the vulnerability of large shares of the Afghan population, leading to a mobilisation of humanitarian actors to support the most affected population. However, limited information is available to identify vulnerable communities and areas most affected by the dry spell, especially with regards to Water, Sanitation and Hygiene (WASH) concerns. To address this information gap, REACH conducted a WASH Cluster assessment between 3 and 21 June 2018 aiming to inform the response of the Cluster for the ongoing dry spell in Afghanistan. In particular, this assessment sought to identify: How population groups have been affected differently by the dry spell. REACH specifically focused on urban and rural areas, Informal Settlements (ISETs) and Community Development Councils (CDCs). Which areas are most affected by the dry spell, to inform geographic prioritization at the district level, beyond the initial provincial-level prioritization method (see below). The main coping mechanisms used by households to mitigate the impact of the dry spell. The preferred modalities of response for different population groups. Methodology The assessment focused on the 10 provinces prioritized by the WASH Cluster, where more than 25% of water sourcess have already dried or are drying as a result of the 2018 winter dry spell. Within these provinces, vulnerable locations were purposively selected across all 67 districts. All identified ISETs were included in this assessment, as access to WASH resources are traditionally limited there, while only the most vulnerable CDCs, both urban and rural, were included following a profiling exercise by WASH partners. One Key Informant (KI) was interviewed in each community (understood as either an ISET or a CDC), using a structured questionnaire designed in collaboration with the WASH Cluster. KIs were knowledgeable community members, such as leaders, teachers and elders, identified by enumerators. Findings were then aggregated at district and province level. In addition, Focus Group Discussions (FGDs) were conducted to supplement and triangulate findings from the KI interviews. Two FGDs, one with female respondents and one with male respondents, were conducted in each province with six to eight participants in each. Participants were selected by approaching pre-existing networks of KIs and snowballing among their connections, aiming for a widespread of areas of origins. Findings from the FGDs were not used in these factsheets but will be used in the Executive Summary (forthcoming). 1. United Nations Office for the Coordination of Humanitarian Affairs (OCHA), Afghanistan Drought Contingency Plan, April FAO, Rapid Assessment of the 2018 Winter Dry Spell in Afghanistan, Communities with at least 50% of displaced people and no legal rights to occupy the land. 4. Communities in which a democratically elected body operate to strengthen the local governance and social development of the inhabitants. ISETs are not represented in these elected bodies and are thus not included in CDCs. 5. WASH Cluster, WASH Dry Spell Contingency Plan, March WASH Cluster, internal document. 6

7 Research Questions In order to meet aforementioned objectives, this dry spell assessment attempted to answer the following research questions, designed in close collaboration with the WASH Cluster: What are the districts that have been more impacted by the 2018 winter dry spell? How has the dry spell affected population groups differently within the community, inclusive of men, women, boys and girls, as well as those dependent on agriculture or livelihoods, and in urban and rural settings? What are the preferred modalities of assistance in the different dry-spell affected settings? What are the current and expected coping strategies used by affected households to mitigate the implications of the dry spell? Limitations Findings are based on the knowledge of KIs providing information on their communities. Findings should therefore be considered indicative only. The geographical areas included in this assessment were selected by the WASH cluster based on the proportion of drying water sources in March Other affected, but not selected, areas might be missing from this assessment. Since data was collected at community level, and is shown at the district-level, it cannot be used for direct beneficiary selection. The findings from this assessment can be used to prioritise locations and population groups, and should be completed by beneficiary selection data collection. Given the society structure and cultural barriers found in Afghanistan, the number of female KIs was very low, thus female-specific issues can be under-represented. Other WASH Assessments in ISETs In addition to this booklet, more information on the s and vulnerabilities of ISET residents, can be found in the WASH and Emergency Shelter Non-Food Items (ESNFI) Needs Assessment Report (November 2017) carried out by REACH and its partners, or in the following regional factsheets: Central Region WASH, ESNFI and FSAC needs in ISETs North Region WASH, ESNFI and FSAC needs in ISETs West Region WASH, ESNFI and FSAC needs in ISETs South-East Region WASH, ESNFI and FSAC needs in ISETs Key Reported Figures and Findings Total # ISETs assessed: 454 Est. # HHs in ISETs: 108,399 Proportion of communities where a change in the main water source used before and after the dry spell was reported: ISETs: Proportion of communities where worsened health concerns due to the dry spell were reported: ISETs: CDCs: t t 85% Yes 66% 2% Do not know 7% Main types of emergency WASH assistance preferred by communities to cope with the dry spell: ISETs: CDCs: Dig wells Cash assistance Tankered water Total # Rural Areas: 722 Est. # Rural HHs: 204, CDCs: Dig wells Cash assistance Support the quality of water Proportion of communities where a change in the main water source used before and after the dry spell was reported: Proportion of communities where worsened health concerns due to the dry spell were reported: Rural: Urban: Main types of emergency WASH assistance preferred by communities to cope with the dry spell: Rural: Urban: Dig wells Tankered water Cash assistance Total # CDCs assessed: 704 Est. # HHs in CDCs: 241, t t Rural: 29% No change 16% 71% Change 84% 13% No 27% Total # Urban Areas: 234 Est. # Urban HHs: 146, t t Urban: 15% Change 31% 85% No change 69% t t 68% Yes 82% 26% No 16% 6% Don t know 2% Dig wells Tankered water Cash assistance 7

8 Comparative Overview by District Summary WASH Livelihoods Health Coping strategies Assistance Provinces Districts Total estimated number of households s in CDCs Tottal estimated number of households in ISETs % of communities where a change in the main water source used before and after the dry spell was reported % of communities where population groups have not equally reduced their water consumption since the beginning of the dry spell % of communities where a decrease of the economic well-being was reported as a result of the dry spell on agriculture % of communities where crop death as a result of the dry spell was reported, of communities with at least some members dependent on agriculture on livestock % of communities where livelihood death as a result of the dry spell was reported, of communities with at least some members dependent on livestock % of communities where worsened health concerns due to the dry spell were reported % of communities where members were reported to actively use coping strategies to deal with a lack of water % of communities where at least some members travelled more than 1km to fetch water, of communities actively using coping strategies % of communities where at least some members used unprotected water sources, of communities actively using coping strategies % of communities where at least some members used less than 5L of water/ pers/day, of communities actively using coping strategies % of communities where at least some members moved to another location to seek water, of communities actively using coping strategies % of communities having reportedly received any humanitarian assistance in the six months prior to data collection % of communities reportedly facing barriers to receiving assistance % of communities where tankered water was reported as an emergency s % of communities where cash assistance was reported as an emergency % of communities where semi-permanent wells were reported as an emergency % of communities where water treatment was reported as an emergency Badghis % 0% 100% 99% 83% 100% 89% 14% 38% 69% 39% 3% 0% 49% 4% 6% 85% 9% 0% Abkamari % 0% 100% 100% 94% 100% 94% 6% 13% 100% 100% 0% 0% 69% 0% 6% 94% 0% 0% Ghormach N/A 250 0% 0% 100% 100% 100% 100% 0% 100% 100% 0% 0% 0% 0% 0% 0% 0% 0% 100% 0% Muqur (Badghis) % 0% 100% 100% 71% 100% 95% 0% 33% 86% 29% 0% 0% 52% 0% 0% 95% 5% 0% Murghab N/A 0% 0% 100% 100% 100% 100% 100% 0% 18% 100% 0% 0% 0% 0% 0% 0% 100% 0% 0% Qadis % 0% 100% 100% 94% 100% 100% 6% 63% 80% 40% 0% 0% 13% 13% 0% 94% 6% 0% Qala e Naw % 0% 100% 97% 71% 100% 76% 34% 48% 50% 43% 2% 0% 76% 7% 17% 66% 17% 0% Balkh % 5% 100% 66% 64% 76% 30% 80% 93% 80% 59% 25% 16% 5% 26% 18% 4% 71% 6% Charbulak 2395 N/A 0% 0% 100% 100% 44% 100% 22% 89% 100% 67% 89% 1% 0% 0% 67% 0% 0% 100% 0% Charkent 1893 N/A 0% 0% 100% 100% 64% 100% 29% 64% 100% 100% 100% 1% 50% 0% 36% 57% 0% 43% 0% Chemtal 9253 N/A 0% 0% 100% 100% 100% 100% 50% 100% 100% 100% 100% 3% 0% 0% 0% 100% 0% 0% 0% Dawlatabad 2322 N/A 0% 29% 100% 100% 100% 100% 57% 100% 100% 14% 100% 0% 0% 0% 14% 0% 0% 100% 0% Dehdadi N/A % 0% 100% 78% 21% 78% 21% 78% 83% 53% 40% 2% 7% 17% 17% 17% 0% 83% 0% Keshendeh 5539 N/A 0% 0% 100% 100% 100% 100% 33% 100% 100% 67% 100% 1% 22% 0% 22% 44% 33% 22% 0% Khulm 1457 N/A 0% 0% 100% 85% 45% 92% 0% 62% 92% 92% 8% 2% 33% 23% 62% 0% 8% 92% 0% Mazar e Sharif N/A % 11% 100% 28% 54% 57% 58% 76% 91% 83% 17% 4% 5% 2% 11% 4% 0% 76% 17% Nahr e Shahi N/A % 3% 100% 30% 22% 47% 7% 83% 90% 85% 70% 7% 4% 7% 7% 0% 0% 97% 3% Sholgareh 1178 N/A 0% 0% 100% 100% 88% 100% 0% 50% 88% 100% 100% 2% 71% 0% 100% 13% 25% 38% 25% Zari 1690 N/A 0% 0% 100% 100% 100% 100% 25% 100% 100% 88% 63% 1% 50% 0% 63% 13% 13% 75% 0% Daykundi % 85% 100% 99% 79% 99% 4% 99% 90% 6% 1% 35% 0% 10% 77% 48% 0% 52% 0% Ashtarlay % 100% 100% 100% 79% 100% 0% 100% 93% 0% 0% 4% 0% 0% 71% 64% 0% 36% 0% Giti N/A 0% 100% 100% 100% 100% 100% 0% 100% 100% 42% 0% 2% 0% 0% 100% 17% 0% 83% 0% Kajran % 94% 100% 100% 94% 100% 6% 100% 94% 0% 0% 5% 0% 0% 94% 82% 0% 18% 0% Khadir 950 N/A 0% 88% 100% 100% 100% 100% 0% 100% 88% 29% 0% 1% 0% 0% 100% 25% 0% 75% 0% Miramor % 100% 100% 100% 93% 100% 0% 100% 93% 0% 0% 4% 0% 0% 100% 40% 0% 60% 0% Nili % 63% 100% 93% 57% 97% 10% 100% 87% 0% 4% 7% 0% 47% 33% 30% 0% 70% 0% Sang e Takht % 90% 100% 100% 80% 100% 0% 90% 100% 0% 0% 3% 0% 0% 90% 40% 0% 60% 0% Shahrestan % 81% 100% 100% 70% 100% 3% 97% 81% 3% 0% 9% 0% 0% 81% 62% 0% 38% 0% Farah % 39% 97% 82% 16% 73% 23% 84% 13% 19% 0% 4% 6% 29% 24% 24% 0% 75% 1% Anardara 1080 N/A 0% 100% 100% 100% 0% 100% 0% 0% 0% N/A N/A N/A N/A 0% 0% 89% 0% 11% 0% Balabuluk 910 N/A 0% 100% 100% 100% 0% 100% 0% 100% 0% N/A N/A N/A N/A 0% 0% 67% 0% 33% 0% Farah % 35% 96% 78% 13% 68% 19% 90% 16% 19% 0% 4% 6% 35% 26% 19% 0% 80% 1% Pushtrod 600 N/A 29% 0% 100% 100% 86% 100% 100% 100% 0% N/A N/A N/A N/A 0% 43% 0% 0% 100% 0% 8

9 Comparative Overview by District Summary WASH Livelihoods Health Coping strategies Assistance Provinces Districts Total estimated number of households s in CDCs Tottal estimated number of households in ISETs % of communities where a change in the main water source used before and after the dry spell was reported % of communities where population groups have not equally reduced their water consumption since the beginning of the dry spell % of communities where a decrease of the economic well-being was reported as a result of the dry spell on agriculture % of communities where crop death as a result of the dry spell was reported, of communities with at least some members dependent on agriculture on livestock % of communities where livelihood death as a result of the dry spell was reported, of communities with at least some members dependent on livestock % of communities where worsened health concerns due to the dry spell were reported % of communities where members were reported to actively use coping strategies to deal with a lack of water % of communities where at least some members travelled more than 1km to fetch water, of communities actively using coping strategies % of communities where at least some members used unprotected water sources, of communities actively using coping strategies % of communities where at least some members used less than 5L of water/ pers/day, of communities actively using coping strategies % of communities where at least some members moved to another location to seek water, of communities actively using coping strategies % of communities having reportedly received any humanitarian assistance in the six months prior to data collection % of communities reportedly facing barriers to receiving assistance % of communities where tankered water was reported as an emergency s % of communities where cash assistance was reported as an emergency % of communities where semi-permanent wells were reported as an emergency % of communities where water treatment was reported as an emergency Faryab % 30% 100% 100% 22% 100% 19% 81% 99% 95% 6% 4% 56% 0% 0% 48% 18% 34% 0% Almar 3800 N/A 0% 0% 100% 100% 0% 100% 0% 70% 100% 100% 10% 0% 90% 0% 0% 100% 0% 0% 0% Andkhoy 2122 N/A 0% 100% 100% 100% 0% 100% 0% 90% 90% 100% 0% 0% 0% 0% 0% 70% 30% 0% 0% Dawlatabad 2934 N/A 0% 0% 100% 100% 0% 100% 0% 100% 100% 100% 0% 0% 100% 0% 0% 10% 0% 90% 0% Khani Char Bagh 2924 N/A 0% 90% 100% 100% 0% 100% 0% 100% 100% 100% 0% 0% 20% 0% 0% 50% 50% 0% 0% Maymana % 13% 100% 100% 60% 100% 50% 60% 100% 88% 5% 3% 38% 0% 0% 33% 10% 58% 0% Pashtunkot 1500 N/A 0% 100% 100% 100% 0% 100% 0% 100% 100% 100% 60% 1% 60% 0% 0% 20% 80% 0% 0% Qaramqol 3720 N/A 0% 0% 100% 100% 0% 100% 0% 100% 100% 100% 0% 0% 100% 0% 0% 50% 0% 50% 0% Qaysar 650 N/A 0% 100% 100% 100% 0% 100% 0% 100% 100% 100% 0% 0% 67% 0% 0% 0% 100% 0% 0% Shirintagab 3948 N/A 10% 0% 100% 100% 0% 100% 0% 100% 100% 100% 0% 0% 90% 0% 0% 100% 0% 0% 0% Hilmand % 9% 99% 100% 21% 100% 12% 83% 52% 42% 17% 5% 67% 22% 50% 3% 39% 42% 15% Garmser 6008 N/A 0% 30% 100% 100% 10% 100% 40% 60% 25% 60% 20% 1% 40% 0% 50% 5% 35% 55% 5% Lashkar Gah % 4% 100% 100% 36% 100% 7% 89% 71% 35% 25% 2% 65% 64% 18% 7% 36% 36% 21% Marja 4287 N/A 0% 6% 94% 100% 19% 100% 6% 88% 69% 36% 0% 0% 91% 0% 81% 0% 44% 38% 19% Nad e Ali 2135 N/A 0% 0% 100% 100% 29% 100% 0% 86% 71% 80% 40% 0% 60% 0% 86% 0% 71% 29% 0% Nahr e Saraj % 0% 100% 100% 10% 100% 0% 90% 30% 33% 0% 1% 50% 10% 55% 0% 35% 45% 20% Nawa e Barakzaiy 306 N/A 0% 0% 100% 100% 0% 100% 0% 100% 100% 0% 0% 0% 100% 0% 100% 0% 0% 100% 0% Jawzjan % 0% 98% 69% 0% 69% 0% 67% 93% 82% 72% 10% 0% 4% 0% 55% 11% 34% 1% Aqcha 3231 N/A 44% 0% 100% 100% 0% 67% 0% 56% 89% 63% 13% 0% 0% 0% 0% 67% 11% 22% 0% Fayzabad 3945 N/A 10% 0% 100% 100% 0% 100% 0% 25% 90% 83% 72% 0% 0% 0% 0% 70% 25% 0% 5% Khanaqah 3007 N/A 0% 0% 100% 100% 0% 100% 0% 44% 89% 63% 25% 0% 0% 0% 0% 100% 0% 0% 0% Khwaja Du Koh % 0% 100% 100% 0% 100% 0% 71% 86% 67% 67% 0% 0% 29% 0% 71% 29% 0% 0% Mardyan 1865 N/A 0% 0% 100% 100% 0% 100% 0% 80% 100% 100% 100% 0% 0% 0% 0% 100% 0% 0% 0% Mingajik 1682 N/A 40% 0% 100% 100% 0% 60% 0% 100% 100% 100% 100% 0% 0% 0% 0% 100% 0% 0% 0% Qushtepa 1573 N/A 0% 0% 100% 100% 0% 100% 0% 67% 100% 33% 17% 0% 0% 0% 0% 83% 17% 0% 0% Shiberghan % 0% 95% 26% 0% 37% 0% 88% 95% 95% 95% 10% 0% 5% 0% 19% 5% 77% 0% Nimroz % 29% 99% 100% 11% 100% 34% 6% 1% 0% 0% 0% 0% 1% 70% 4% 21% 73% 1% Chakhansur 1005 N/A 90% 20% 100% 100% 10% 100% 55% 0% 0% N/A N/A N/A N/A 0% 75% 0% 10% 90% 0% Charburjak 883 N/A 44% 33% 100% 100% 0% 100% 28% 0% 0% N/A N/A N/A N/A 6% 89% 0% 11% 89% 0% Delaram 691 N/A 80% 47% 100% 100% 0% 100% 40% 0% 0% N/A N/A N/A N/A 0% 80% 0% 27% 73% 0% Khashrod 802 N/A 88% 38% 100% 100% 0% 100% 25% 6% 0% N/A N/A N/A N/A 0% 94% 0% 6% 88% 6% Zaranj % 14% 95% 100% 38% 100% 24% 19% 5% 0% 0% 0% 0% 0% 24% 19% 48% 33% 0% 9

10 Comparative Overview by District Summary WASH Livelihoods Health Coping strategies Assistance Provinces Districts Total estimated number of households s in CDCs Tottal estimated number of households in ISETs % of communities where a change in the main water source used before and after the dry spell was reported % of communities where population groups have not equally reduced their water consumption since the beginning of the dry spell % of communities where a decrease of the economic well-being was reported as a result of the dry spell on agriculture % of communities where crop death as a result of the dry spell was reported, of communities with at least some members dependent on agriculture on livestock % of communities where livelihood death as a result of the dry spell was reported, of communities with at least some members dependent on livestock % of communities where worsened health concerns due to the dry spell were reported % of communities where members were reported to actively use coping strategies to deal with a lack of water % of communities where at least some members travelled more than 1km to fetch water, of communities actively using coping strategies % of communities where at least some members used unprotected water sources, of communities actively using coping strategies % of communities where at least some members used less than 5L of water/ pers/day, of communities actively using coping strategies % of communities where at least some members moved to another location to seek water, of communities actively using coping strategies % of communities having reportedly received any humanitarian assistance in the six months prior to data collection % of communities reportedly facing barriers to receiving assistance % of communities where tankered water was reported as an emergency s % of communities where cash assistance was reported as an emergency % of communities where semi-permanent wells were reported as an emergency % of communities where water treatment was reported as an emergency Saripul % 0% 100% 99% 69% 97% 52% 87% 87% 61% 68% 14% 7% 8% 21% 3% 30% 65% 2% Gosfandi 1937 N/A 30% 0% 100% 100% 100% 100% 100% 100% 90% 89% 100% 0% 0% 0% 100% 0% 30% 60% 10% Sancharak % 0% 100% 100% 100% 94% 100% 94% 94% 93% 93% 0% 0% 6% 13% 0% 50% 50% 0% Saripul % 0% 100% 99% 53% 96% 29% 82% 84% 42% 52% 14% 11% 10% 1% 5% 20% 73% 1% Sayad 1806 N/A 0% 0% 100% 100% 100% 100% 88% 100% 100% 100% 100% 0% 0% 0% 88% 0% 75% 25% 0% Sozmaqala 1477 N/A 17% 0% 100% 100% 100% 100% 100% 83% 83% 100% 100% 0% 0% 0% 83% 0% 50% 50% 0% Uruzgan % 4% 100% 96% 25% 99% 11% 99% 1% 0% 100% 0% 0% 5% 0% 0% 0% 78% 22% Chora 2250 N/A 0% 0% 100% 100% 50% 100% 0% 100% 0% N/A N/A N/A N/A 0% 0% 0% 0% 100% 0% Dehrawud N/A 18% 29% 100% 100% 59% 100% 35% 100% 0% N/A N/A N/A N/A 6% 0% 0% 0% 76% 24% Gizab N/A 0% 0% 100% 100% 18% 100% 9% 100% 0% N/A N/A N/A N/A 0% 0% 0% 0% 91% 9% Shahid e Hassas N/A 0% 0% 100% 100% 46% 100% 8% 100% 0% N/A N/A N/A N/A 0% 0% 0% 0% 92% 8% Tirinkot % 0% 100% 93% 13% 99% 6% 99% 1% 0% 100% 0% 0% 7% 0% 0% 0% 74% 26% TOTAL % 21% 99% 89% 42% 90% 27% 73% 60% 62% 38% 100% 18% 12% 28% 22% 18% 55% 5% 10