nlp-thedeep/humsetbias huggingface dataset:
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  52% of Households of IDP settlements have not been able to access healthcare facilities in the six months prior to data collection while 29% of Households of IDP settlements have been able to access healthcare facilities in the six months prior to data collection.
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  90% of the household found with WASH living Standard Gap  ( LSG ) . 15% found to be very extremely severe, 30% extreme severe, 45% severe, 7% stress, 2% no or minimal.
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  50% of Households of non IDP settlements have not been able to access healthcare facilities in the six months prior to data collection while 34% of Households of non IDP settlements have been able to access healthcare facilities in the six months prior to data collection.
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  Proportion of households of non IDP settlements reporting not having sufficient water for the following purposes were Not enough water for cooking, bathing, washing, and other domestic uses ( 91% ) , Not enough water for domestic purposes only  ( 71% ) ,Not enough water for personal hygiene only  ( 33% ) .
[ CAPACITY GAP  ( CG )  ]  90% of households were found to have at least one Education Living Standard Gaps ( LSG )  and/or a Capacity Gap  ( CG ) . 80% of households were found to have an Living Standard Gaps ( LSG )  in education but no capacity gap in education. 10% of households were found to have both an Living Standard Gaps ( LSG )  in education and a capacity gap in education. 10% of households were found to have no education Living Standard Gaps ( LSG )  but a capacity gap in education.
[ PROTECTION LIVING STANDARDS GAP  ( LSG )  ]  85% and 56% of households of IDP settlements and Non IDP settlement reported no child friendly spaces in their community.
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  Most commonly reported coping mechanisms used to deal with limited availability of water by household of IDP settlement were Rely on less preferred  ( unimproved/untreated )  water sources for drinking water  ( 32% ) , Rely on surface water for drinking water  ( 24% ) .
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ]  The highest percentage of households per SNFI LSG severity score, per population group for IDP settlement was 67% for extreme and lowest was 0% for no or minimal and extreme+. Similarly highest percentage of households per SNFI LSG severity score, per population group for Non IDP settlement was 62% for severe and lowest was 0% for no or minimal and extreme+.
[ PRE EXISTING VULNERABILITIES ]  51% households reporting relying on unstable income sources to meet basic needs.
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  69% of the households found with nutrition living Standard Gap  ( LSG ) . 17% found to be extreme severe, 52% severe, 31% stress.
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  Most commonly reported problems related to accessing sanitation facilities by households of non  IDP settlement were Lack of sanitation facilities  ( latrines/toilets )  / facilities too crowded  ( 27% ) ,Sanitation facilities  ( latrines/toilets )  are not functioning or full  ( 25% ) .
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  The highest percentage of households per Education LSG severity score, per population group for IDP settlement was 90% for severe and lowest was 2% for stress. Similarly highest percentage of households per Education LSG severity score, per population group for Non IDP settlement was 86% for severe and lowest was 2% for stress.
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  Five most commonly reported illnesses or injuries household members of non IDP settlements had in the past two weeks prior to data collection were fever ( 7% ) , Diarrhoea  ( 2% ) , Cough with fast or difficult breathing  ( 2% ) , skin infections  ( 1% ) .
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  Most commonly reported coping mechanisms used to deal with limited availability of water by household of non  IDP settlement were Rely on less preferred  ( unimproved/untreated )  water sources for drinking water  ( 31% ) , Rely on surface water for drinking water  ( 34% ) .
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  7% of the households of non IDP settlements reported that it takes less than 15 minutes to reach to the nearest nutrition facility while 48%, 40% and 5% of the households of non IDP settlements reported it takes 15 30 minutes, 30 60minutes and 1 3 hours to reach to the nearest nutrition facility respectively.
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  Education LSGs were found to be primarily driven by Households with school aged children who reported barriers to accessing education for boys  ( 83% )  , Households with school aged children who reported barriers to accessing education for girls  ( 84% ) .
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  25% of the households of IDP settlements reported that it takes less than 15 minutes to reach to the nearest nutrition facility while 36% and 25% of the households of IDP settlements reported it takes 15 30 minutes and 30 60minutes to reach to the nearest nutrition facility respectively. Only 3% of the households of IDP settlements reported that it takes more than 3 hours to reach to the nearest nutrition facility.
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  28% of the households of non IDP settlements reported that it takes less than 15 minutes to reach to the nearest education facility while 34% and 15% of the households of non IDP settlements reported it takes 15 30 minutes and 30 60minutes to reach to the nearest education facility respectively. Only 1% of the households of non IDP settlements reported that it takes more than 3 hours to reach to the nearest education facility.
[ PROTECTION LIVING STANDARDS GAP  ( LSG )  ]  Most commonly reported areas in the community where girls and/or women do not feel safe were: On the way to markets  ( 61% ) , In the markets  ( 31% )  ) , when leaving settlement/town  ( 55% ) .
[ PROTECTION LIVING STANDARDS GAP  ( LSG )  ]  89% and 84% of households of IDP settlements and Non IDP settlement reported no awareness of medical, legal, or psychological services to address incidents of GBV.
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  Three most commonly reported reasons why children stopped attending school since the outbreak were: Schools have closed  ( 82% ) , Lack transportation to schools due to COVID 19  ( 14% ) , children want to stay home  ( 14% ) .
[ MUTLI SECTORAL NEEDS ]  Among households with multi sectoral needs, 91% need education, 90% need WASH, 84% Shelter, 64% Nutrition, 24% Health, 16% Protection.
[ CAPACITY GAP  ( CG )  ]  18% of households were found to have at least one Protection Living Standard Gaps  ( LSG )  and/or a Capacity Gap  ( CG ) . Among 18%, 16% of households were found to have a Living Standard Gaps ( LSG )  in protection but no Capacity Gap  ( CG )  in protection, 2% of households were found to have both a Living Standard Gaps ( LSG )  in protection and a Capacity Gap  ( CG )  in protection, 82% of households were found to have no protection Living Standard Gaps ( LSG )  but a Capacity Gap  ( CG )  in protection.
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  The highest percentage of households per WASH LSG severity score, per population group for IDP settlement was 44% for severe and lowest was 0% for no or minimal. Similarly highest percentage of households per WASH LSG severity score, per population group for Non IDP settlement was 39% for severe and lowest was 3% for No or minimal .
[ PRE EXISTING VULNERABILITIES ]  86% households reporting having been displaced for longer than one year
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ] The main drivers of WASH LSGs were found to be: • Households without access to an improved water source  ( 23% )  • Households without access to sufficient quantity of drinking water  ( 19% )  • Households without access to soap at home  ( 55% )  • Households without access to a functional and improved sanitation facility  ( 55% )
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  94% of households found with an education LSG. 94% found to be severe, 1% stress, 5% no or minimal.
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  Education LSGs were found to be primarily driven by Households with school aged children who reported barriers to accessing education for boys  ( 75% )  , Households with school aged children who reported barriers to accessing education for girls  ( 76% ) .
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  26% and 51% of Households IDP and non IDP settlements reported education of their children had been disrupted as a result of the COVID 19 outbreak.
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  Three most commonly reported types of nutrition barriers reported by households with children were: Unaware that supplements are available  ( 51% ) , Unaware that services are available  ( 51% ) , Facilities too far to travel to ( 35% ) .
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  24% of the households of non IDP settlements reported that it takes less than 15 minutes to reach to the nearest education facility while 34% and 15% of the households of non IDP settlements reported it takes 15 30 minutes and 30 60minutes to reach to the nearest education facility respectively. Only 1% of the households of non IDP settlements reported that it takes more than 3 hours to reach to the nearest education facility and 0% reported that it takes 1 3 hours.
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  Among households of IDP settlements with children, 16% household reported their child ( ren )  having been enrolled in a nutritional centre/therapeutic feeding centre in the 6 months prior to data collection while 15% household of non IDP settlements with children reported their child ( ren )  having been enrolled in a nutritional centre/therapeutic feeding centre in the 6 months prior to data collection.
The main critical indicators that determined Nutrition LSGs were found to be: Households with child ( ren )  reportedly ill at the time of data collection  ( 28% ) , Households with child ( ren )  not eating properly  ( 9% )  , Households with child ( ren )  reporting barriers to accessing nutrition services or treatment  ( 66% )
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  36% and 26% of households of IDP settlement and Non IDP settlement reported all school aged children in their household who were previously attending school are continuing learning activities remotely since schools have been closed.
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  11% of the households of non IDP settlements reported that it takes less than 15 minutes to reach to the nearest nutrition facility while 44% and 28% of the households of non IDP settlements reported it takes 15 30 minutes and 30 60minutes to reach to the nearest nutrition facility respectively. 13% of the households of non IDP settlements reported that it takes 1 3hours and only 4% of the households of non IDP settlements reported that it takes more than 3 hours to reach to the nearest nutrition facility.
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  The main drivers of health LSGs were found to be Households with at least one member who had been ill in the two weeks prior to data collection and it taking more than one hour to reach the nearest healthcare facility by foot  ( 0% )  ,Households with women of reproductive age  ( 15 49 years old )  who had given a life birth in the two years prior to data collection without having been attended by skilled health personnel  ( 10% )  , Households that do not have access to a functional healthcare facility within 1 hour walking distance  ( 1% ) .
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  26% of IDP settlement and 23% of non IDP settlement households found with a health Living Standard Gaps  ( LSG ) .
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ]  Four most common types of occupancy status reported by households of IDP settlements were Hosted without rent  ( by family, friends, institution )   ( 39% ) , Ownership  ( 26% ) , No occupancy agreement / squatting  ( 11% ) , rented  ( 17% ) . Similarly, Four most common types of occupancy status reported by households of non IDP settlements were Hosted without rent  ( by family, friends, institution )   ( 27% ) , Ownership  ( 41% ) , No occupancy agreement / squatting  ( 3% ) , rented  ( 26% ) .
[ PROTECTION LIVING STANDARDS GAP  ( LSG )  ]  Most commonly reported areas in the community where boys or men do not feel safe were On the way to markets  ( 57% ) , In the market  ( 49% )  and When leaving settlement/town  ( 37% ) .
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ]  68% of the household found with Shelter and Non food items ( SNFI )  living Standard Gap  ( LSG ) . 29% found to be extreme, 39% severe and 32% stress.
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ] The main drivers of shelter & NFI LSGs were found to be Households without access to a safe and healthy housing enclosure unit  ( 16% ) , Households whose shelter solutions do not meet agreed technical and performance standards  ( 24% ) , Households without access to vital household NFIs  ( 56% ) .
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  The most commonly reported preferred types of remote learning modalities were School textbooks  ( 73%  ) , Reading materials ( storybooks, )   ( 36% ) , Other paper  based learning materials  ( 44% )
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  24% of the household found with health living Standard Gap  ( LSG ) . 2% found to be very extremely+ severe, 3% extreme severe, 19% severe, 8% stress, 68% no or minimal.
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  The highest percentage of households per WASH LSG severity score, per population group for IDP settlement was 45% for severe and lowest was 0% for no or minimal. Similary highest percentage of households per WASH LSG severity score, per population group for Non IDP settlement was 52% for severe and lowest was 1% for extreme+.
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ]  89% of IDP settlement and 64% of non IDP settlement households found with a Shelter and non food items Living Standard Gaps  ( LSG ) .
[ MUTLI SECTORAL NEEDS ]  Among the 100% households found to have an overall MSNI of 3 and above, this score was most commonly driven by extreme LSGs in WASH, Education and SNFI  ( 9% ) , followed by WASH, Education, SNFI and Food security  ( 11% ) , or WASH , Education, SFNI, Nutrition and Health ( 7% ) .
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ]  Three most commonly reported types of housing, land and property  ( HLP )  dispute reported by households were :Disputes about rent  ( including payment )   ( 10% ) , Rules and processes on HLP not clear  ( 15%  ) , Inheritance issues  ( 5% ) .
[ MUTLI SECTORAL NEEDS ]  Among households with multi sectoral needs, highest need was of education ( 96% ) , followed by WASH ( 86% ) , Shelter ( 68% ) , Nutrition ( 68% ) , Health ( 24% )  and Protection ( 22% )
[ CAPACITY GAP  ( CG )  ]  8% of households were found to have at least one Protection Living Standard Gaps  ( LSG )  and/or a Capacity Gap  ( CG ) . 6% of households were found to have a Living Standard Gaps ( LSG )  in protection but no Capacity Gap  ( CG )  in protection, 2% of households were found to have both a Living Standard Gaps ( LSG )  in protection and a Capacity Gap  ( CG )  in protection, 92% of households were found to have no protection Living Standard Gaps ( LSG )  but a Capacity Gap  ( CG )  in protection.
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ]  The highest percentage of households per SNFI LSG severity score, per population group for IDP settlement was 40% for severe and lowest was 0% for no or minimal and extreme+. Similarly highest percentage of households per SNFI LSG severity score, per population group for Non IDP settlement was 64% for severe and lowest was 0% for no or minimal and extreme+.
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ] 20% of the household found with health living Standard Gap  ( LSG ) . 5% found to be very extremely+ severe, 4% extreme severe, 11% severe, 8% stress, 72% no or minimal.
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  The highest percentage of households per WASH LSG severity score, per population group for IDP settlement was 60% for severe and lowest was 1% for no or minimal. Similarly highest percentage of households per WASH LSG severity score, per population group for Non IDP settlement was 57% for severe and lowest was 3% for no or minimal.
[ CAPACITY GAP  ( CG )  ]  98% of households were found to have at least one Education Living Standard Gaps ( LSG )  and/or a Capacity Gap  ( CG ) . 86% of households were found to have an Living Standard Gaps ( LSG )  in education but no capacity gap in education. 12% of households were found to have both an Living Standard Gaps ( LSG )  in education and a capacity gap in education. 2% of households were found to have no education Living Standard Gaps ( LSG )  but a capacity gap in education.
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  The highest percentage of households per Health LSG severity score, per population group for IDP settlement was 66% for no or minimal and lowest was 5% for extreme. Similarly highest percentage of households per Health LSG severity score, per population group for Non IDP settlement was 71% for no or minimal and lowest was 2% for stress.
[ PROTECTION LIVING STANDARDS GAP  ( LSG )  ]  The highest percentage of households per Protection LSG severity score, per population group for IDP settlement was 58% for stress and lowest was 0% for extreme. Similarly highest percentage of households per Protection LSG severity score, per population group for Non IDP settlement was 65% for no or minima stress and lowest was 1% for extreme.
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  Three most commonly reported problems encountered when accessing health services or treatment: Cost of services and/or medicine was too high  ( 35% ) , Have not tried to access medical services  ( 24% )  and Did not get qualified health staff at the health facility  ( 21% ) .
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  38% of the households of non IDP settlements reported that it takes less than 15 minutes to reach to the nearest education facility while 38% and 9% of the households of non IDP settlements reported it takes 15 30 minutes and 30 60minutes to reach to the nearest education facility respectively.
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  69% of Households of non IDP settlements have not been able to access healthcare facilities in the six months prior to data collection while 28% of Households of non IDP settlements have been able to access healthcare facilities in the six months prior to data collection.
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  Among households of IDP settlements with children , 24% households reporting having access to mobile nutrition team able to assess for malnutrition in the 6 months prior to data collection . While among households of non IDP settlements with children , 10% households reporting having access to mobile nutrition team able to assess for malnutrition in the 6 months prior to data collection.
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  Education LSGs were found to be primarily driven by Households with school aged children who reported barriers to accessing education for boys  ( 83% )  , Households with school aged children who reported barriers to accessing education for girls  ( 85% ) .
[ PROTECTION LIVING STANDARDS GAP  ( LSG )  ]  Most commonly reported areas in the community where boys or men do not feel safe were On the way to markets  ( 63% ) , In the market  ( 24% )  and When leaving settlement/town  ( 35% )
[ PROTECTION LIVING STANDARDS GAP  ( LSG )  ]  Most commonly reported areas in the community where girls and/or women do not feel safe were: On the way to markets  ( 70% ) , In the markets  ( 68% )  ) , At water points  ( 34% ) .
There will be a spike in the number of people in need in 2021, driven by climate shocks, conflict and increased vulnerability, resulting in 5.9 million people requiring humanitarian assistance. This includes 4.3 million non displaced people, 1.6 million people displaced by conflict, insecurity, droughts and floods, as well as 109,989 refugee returnees, and 28,002 refugees and asylum seekers.
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  40% of the households of non IDP settlements reported that it takes less than 15 minutes to reach to the nearest education facility while 20% and 11% of the households of non IDP settlements reported it takes 15 30 minutes and 30 60minutes to reach to the nearest education facility respectively. Only 1% of the households of non IDP settlements reported that it takes 1 3 hours and more than 3 hours to reach to the nearest education facility.
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  31% of Households of non IDP settlements have not been able to access healthcare facilities in the six months prior to data collection while 69% of Households of non IDP settlements have been able to access healthcare facilities in the six months prior to data collection.
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  21% of the households of non IDP settlements reported that it takes less than 15 minutes to reach to the nearest health facility by foot while 44%, 21%,7% of the households of non IDP settlements reported it takes 15 30 minutes, 30 60minutes and 1 3hours to reach to the nearest health facility by foot respectively. Only 1% of the households of non IDP settlements reported that it takes more than 3 hours to reach to the nearest health facility by foot .
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  Three most commonly reported problems encountered when accessing health services or treatment: Cost of services and/or medicine was too high  ( 39% ) , Have not tried to access medical services  ( 21% )  and did not get qualified health staff at the health facility ( 14% )
[ CAPACITY GAP  ( CG )  ]  97% of households were found to have at least one Food Security Living Standard Gap ( LSG )  and/or a Capacity Gap  ( CG ) . 35% of households were found to have a food security LSG but no Capacity Gap  ( CG )  in food security, 62%% of households were found to have both a food security LSG and a Capacity Gap  ( CG )  in food security,3% of households were found to have no food security LSG but a Capacity Gap  ( CG )  in food security.
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ]  Four most common types of occupancy status reported by households of IDP settlements were: Hosted without rent  ( by family, friends, institution )   ( 13% ) , Ownership  ( 74% ) , No occupancy agreement / squatting  ( 3% ) , rented  ( 10% ) . Similarly, Four most common types of occupancy status reported by households of non IDP settlements were: Hosted without rent  ( by family, friends, institution )   ( 7% ) , Ownership  ( 80% ) , No occupancy agreement / squatting  ( 1% ) , rented  ( 12% ) .
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  100% of IDP settlement and 62% of non IDP settlement households found with a nutrition Living Standard Gaps  ( LSG ) .
Top three reported reasons for coming to current location were: Availability of work/ income opportunities  ( 45% )  Presence of food distribution/food aid  ( 28% )  To join family/community  ( 22% )
[ Accountability to Affected Populations ]  5% of households reported having experienced barriers in accessing aid in the 30 days prior to data collection Among those households, the most commonly reported barriers were lack of information  ( 95% ) , physically unable to access points of aid distribution  ( 15% ) , insecurity on route to points of aid distribution  ( 11% ) .
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  Among households of IDP settlements with children, 6% household reported their child ( ren )  having been enrolled in a nutritional centre/therapeutic feeding centre in the 6 months prior to data collection while 3% household of non IDP settlements with children reported their child ( ren )  having been enrolled in a nutritional centre/therapeutic feeding centre in the 6 months prior to data collection.
[ PROTECTION LIVING STANDARDS GAP  ( LSG )  ]  4% and 6% of households of IDP settlements and Non IDP settlement reported areas in their community where girls or women do not feel safe.
[ MUTLI SECTORAL NEEDS ]  The highest percentage of households per MSNI severity score, per population group for IDP settlement was 60% for extreme and lowest was 0% for stress and no or minimal. Similarly highest percentage of households per Protection LSG severity score, per population group for Non IDP settlement was 66% for stress and lowest was 2% for extreme.
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ] The main drivers of WASH LSGs were found to be: • Households without access to an improved water source  ( 30% )  • Households without access to sufficient quantity of drinking water  ( 15% )  • Households without access to soap at home  ( 71% )  • Households without access to a functional and improved sanitation facility  ( 49% )
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  Proportion of households of non IDP settlements reporting not having sufficient water for the following purposes were Not enough water for cooking, bathing, washing, and other domestic uses ( 20% ) , Not enough water for domestic purposes only  ( 4% ) ,Not enough water for personal hygiene only  ( 50% ) .
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  Among households of IDP settlements with children , 9% households reporting having access to mobile nutrition team able to assess for malnutrition in the 6 months prior to data collection . While among households of non IDP settlements with children , 4% households reporting having access to mobile nutrition team able to assess for malnutrition in the 6 months prior to data collection.
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  The most commonly reported types of education facilities attended were Primary mixed school for boys and girls  ( 31% ) , Quranic school for boys  ( 39% ) , Quranic school for girls  ( 31% )  and Primary school for boys ( 21% )
Somalia is one of the most insecure countries in the world to operate in, particularly for aid workers; between 1 January and 31 December 2020, 255 access incidents impacting humanitarian operations were recorded in which 15 humanitarian workers were killed, 12 injured, 24 abducted and 14 detained or temporarily arrested. All those abducted were national staff and have been released, with Al Shabaab currently still holding three international staff  ( one German and two Cuban nationals, taken in 2018 and 2019 respectively ) .
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  The main drivers of health LSGs were found to be households with women of reproductive age  ( 15 49 years old )  who had given a life birth in the two years prior to data collection without having been attended by skilled health personnel  ( 2% )  , Households that do not have access to a functional healthcare facility within 1 hour walking distance  ( 4% ) .
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  Three most commonly reported types of nutrition barriers reported by households with children were: Unaware that supplements are available  ( 39% ) , Unaware that services are available  ( 38% ) , Facilities too far to travel to ( 37% ) .
[ PROTECTION LIVING STANDARDS GAP  ( LSG )  ]  92% and 90% of households of IDP settlements and Non IDP settlement reported no awareness of medical, legal, or psychological services to address incidents of GBV.
The COVID 19 pandemic has affected the way in which humanitarian actors in Somalia communicate: 48 per cent of aid recipients report that the way in which they receive information has changed in 2020. Of those, 43 per cent say they now receive less information than they did before the pandemic, while 24 percent cite a general decrease in aid or reduced presence of aid providers.
The Risk Communication and Community Engagement  ( RCCE )  Task Force has also provided technical support to organizations by creating inter agency expert pools in four areas: media engagement; community engagement and accountability to the affected population; monitoring, evaluation and research; and technology for development. The Risk Communication and Community Engagement  ( RCCE )  leveraged resources and knowledge across organizations by sharing innovations, lessons learned and research findings.
Risk Communication and Community Engagement  ( RCCE )  Task Force also coordinated interventions to reduce duplication and extend activities towards un served areas. Monthly RCCE meetings worked to build the capacity of partner organizations and consolidate policy support through regular deep dive sessions. To help consolidate and analyse data from partner organizations, the RCCE showcased progress of outputs via a weekly and monthly dashboard. Taking on best practice and global learning, the RCCE used real time rumour tracking and intervention monitoring through Open Data Kit.
[ CAPACITY GAP  ( CG )  ]  20% of households were found to have at least one Protection Living Standard Gaps  ( LSG )  and/or a Capacity Gap  ( CG ) . 20% of households were found to have a Living Standard Gaps ( LSG )  in protection but no Capacity Gap  ( CG )  in protection, 80% of households were found to have no protection Living Standard Gaps ( LSG )  but a Capacity Gap  ( CG )  in protection.
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  The highest percentage of households per Nutrition LSG severity score, per population group for IDP settlement was 28% for stress and lowest was 0% for no or minimal. Similarly highest percentage of households per Nutrition LSG severity score, per population group for Non IDP settlement was 39% for severe and lowest was 0% for no or minimal.
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  The highest percentage of households per Health LSG severity score, per population group for IDP settlement was 86% for no or minimal and lowest was 3% for extreme and severe. Similary highest percentage of households per Health LSG severity score, per population group for Non IDP settlement was 77% for no or minimal and lowest was 0% for extreme+.
Authorities have failed to provide adequate notification and compensation to the communities facing eviction, nor have they provided viable relocation or local integration options required by international law, exposing the affected population and survivors to protection risks such as SGBV, among others.
The upsurge of Desert Locusts that began in late 2019 continued into 2020, affecting around 685,000 persons countrywide, while nearly 2 million persons were affected by floods in 2020.
HRP identifies 3.89M children under 14 years in need and targeted 2.64M  ( 66% )  to respond. Also HRP identifies 1.77M adults  ( 16 64 years )  in need and targeted 1.2M ( 30% )  to respond in 2021. Similarly, HRP identifies 236000 elders ( 64+years )  in need and targeted 160000  ( 4% )  to respond.
In Somalia, the humanitarian community must strengthen the analysis of risks posed to older people and persons with minority clan affiliation recognising that these groups face a combination of significant risk of discrimination in the allocation of scarce resources, and pre exiting and systematic barriers accessing information, services and assistance provided through the humanitarian system
The Protection Cluster estimates that 1.8 million non IDPs are in need of protection, 85 per cent of whom are in extreme need. Those most vulnerable include households with a significant proportion of persons with heightened vulnerability such as persons with disabilities or medical conditions, children and adolescents, older people, and pregnant and lactating women. Vulnerability is further increased if those members are the sole household head.
The COVID 19 pandemic, Desert Locusts, extensive flooding and conflict continue to be some of the key driving factors, contributing to vulnerability and remaining predisposing factors for malnutrition. The situation is further exacerbated by displacements of the population and barriers faced by persons with disabilities.
Somali Young Doctors Association  ( SOYDA )  Distributed 129 of Emergency support for safe spaces Materials for the vulnerable IDPs in Merka and Afgooye districts.
In Somalia, forced evictions continue to violate the right to housing and property which often leads to the violation of a broad range of fundamental rights and freedoms, creating a domino effect of human rights violations. All these violations often expose already vulnerable displaced people to further protection risks.
Despite recent gains made through collective humanitarian and Government efforts, malnutrition remains a challenge for the children and women of Somalia. The projections of recent FSNAU assessments reveal that there is a dire need to address the risk of malnutrition, further confirming earlier projections which showed that malnutrition levels were above the emergency threshold level in most parts of the country.
Coping strategies for women and girls include restriction of movement and early/forced marriages. Parents in fear of harassment and abuse of their daughters prompt them to restrict their movements as much as possible to ensure safety.
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  Proportion of households of non IDP settlements reporting not having sufficient water for the following purposes were Not enough water for cooking, bathing, washing, and other domestic uses ( 34% ) , Not enough water for domestic purposes only  ( 5% ) ,Not enough water for personal hygiene only  ( 83% ) .
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  20% of Households of non IDP settlements have not been able to access healthcare facilities in the six months prior to data collection while 51% of Households of non IDP settlements have been able to access healthcare facilities in the six months prior to data collection.
[ General household information ]  The most commonly reported reasons for not taking action on COVID 19 were COVID 19 is not prevalent in the area  ( 77% ) , not at high risk of getting COVID 19  ( 21% )
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  Proportion of households of IDP settlements reporting not having sufficient water for the following purposes were Not enough water for cooking, bathing, washing, and other domestic uses  ( 35% ) , Not enough water for domestic purposes only  ( 12% ) ,Not enough water for personal hygiene only  ( 79% ) .
[ WATER, SANITATION & HYGIENE  ( WASH )  LIVING STANDARDS GAP  ( LSG )  ]  Most commonly reported coping mechanisms used to deal with limited availability of water by household of IDP settlement were Rely on less preferred  ( unimproved/untreated )  water sources for drinking water  ( 29% ) , Rely on surface water for drinking water  ( 15% ) .
[ HEALTH LIVING STANDARDS GAP  ( LSG )  ]  Five most commonly reported illnesses or injuries household members of non IDP settlements had in the past two weeks prior to data collection were fever ( 2% ) , Diarrhea  ( 1% ) , Cough with fast or difficult breathing  ( 1% )  and Skin infections ( 1% ) .
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  100% of IDP settlement and 53% of non IDP settlement households found with a nutrition Living Standard Gaps  ( LSG ) .
[ NUTRITION LIVING STANDARDS GAP  ( LSG )  ]  13% of the households of IDP settlements reported that it takes less than 15 minutes to reach to the nearest nutrition facility while 34%, 11% and 20%of the households of IDP settlements reported it takes 15 30 minutes, 30 60minutes and 1 3 hours to reach to the nearest nutrition facility respectively. While 23% of IDP settlements reported it takes more than 3 hours to reach to the nearest nutrition facility.
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ]  Three most commonly reported types shelter damage or defects reported by households were Opening or cracks in roof  ( 21% )  , Roof partially collapsed  ( 19% ) , Broken or cracked windows  ( 17% ) .
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ]  Three most commonly reported types of shelter enclosure issues reported by households were Leaks during heavy rain  ( 38% ) , Leaks during light rain  ( 25% )  and Lack of insulation from cold  ( 21% ) .
[ SHELTER & NON FOOD ITEMS  ( SNFI )  LIVING STANDARDS GAP  ( LSG )  ]  Four most common types of occupancy status reported by households of IDP settlements were: Hosted without rent  ( by family, friends, institution )   ( 12% ) , Ownership  ( 66% ) , No occupancy agreement / squatting  ( 3% ) , rented  ( 7% ) . Similarly, Four most common types of occupancy status reported by households of non IDP settlements were: Hosted without rent  ( by family, friends, institution )   ( 10% ) , Ownership  ( 66% ) , No occupancy agreement / squatting  ( 3% )  and rented  ( 21% ) .
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  85% of IDP settlement and 88% of non IDP settlement households found with a Education Living Standard Gaps  ( LSG ) .
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  21% of the households of IDP settlements reported that it takes less than 15 minutes to reach to the nearest education facility while 28% and 16% of the households of IDP settlements reported it takes 15 30 minutes and 30 60minutes to reach to the nearest education facility respectively. Only 3% of the households of IDP settlements reported that it takes 1 3 hours to reach to the nearest education facility while 7% of the households of IDP settlement reported that it takes more than 3 hours to reach to the nearest education facility.
[ EDUCATION LIVING STANDARDS GAP  ( LSG )  ]  The most commonly reported preferred types of remote learning modalities were: Basic writing materials ( pen, paper )   ( 37% ) , school textbooks  ( 76% )  and other paper based learning materials 23%.
[ PROTECTION LIVING STANDARDS GAP  ( LSG )  ]  1% and 2% of households of IDP settlements and Non IDP settlement respectively reported areas in their community where boys or men do not feel safe.
[ MUTLI SECTORAL NEEDS ]  Among the 100% households found to have an overall MSNI of 3 and above, this score was most commonly driven by extreme LSGs in WASH, Education, SNFI and Nutrition  ( 17% ) , followed by WASH, Education and SNFI  ( 13% ) , or WASH Education, SNFI and Food Security  ( 5% ) .
Food insecurity is expected to worsen in 2021 across Somalia, driven by the effects of localized floods, below average rainfall and a worsening Desert Locust infestation. In the absence of humanitarian assistance, over 2.7 million people are expected to face crisis or emergency levels of food insecurity by mid 2021, according to the findings of the 2020 post Deyr seasonal food security and nutrition assessment
While large scale humanitarian food assistance and government support since July 2020 is likely to have mitigated the magnitude and severity of food insecurity, the situation is expected to deteriorate towards mid year among poor rural, urban and displaced populations. The situation will likely be exacerbated by erratic weather patterns which are expected to continue in 2021, including La Niña in the first quarter of the year, with drought conditions forecast due to a harsh Jilaal dry season  ( January March 2021 )  and possible delayed or poor Gu rains  ( April June 2021 ) .
Already, pre drought conditions have been recorded in Somaliland, Jubaland, Galmudug and Puntland, characterized by widely depleted berkeds and shallow wells, loss of livestock, as well as extensive critical loss of pasture.In addition, the Desert Locust infestation is expected to remain serious until at least March 2021, particularly as control measures are a challenge in the south due to limited ground and aerial access.
The desert locust infestation continues to spread in the southern parts of Somalia. In Banadir region, locusts were spotted hovering in parts of Dayniile and Kahda. Local farmers have reported that locusts have destroyed pastures, trees and gardens that had just began to grow. In Jubaland State, the situation is worsening, with more than 20 villages and pastoral areas surrounding Dhobley and Afmadow district affected.
In South West State, swarms of locusts have been reported in Lower Shabelle and in the Bay region. An estimated 200 hectares of farmland have been destroyed in Afgooye Marka. In Puntland, immature and mature swarms of desert locusts are present in many areas where breeding is ongoing due to favorable weather conditions following recent rains.
Somali Young Doctors Association  ( SOYDA )  Launched commemoration of International Day of Zero Tolerance for Female Genital Mutilation  ( FGM ) , 6 February 2021 through community awareness engagements in Our Project Areas. Our awareness campaign started all our health facilities in Benadir and Lower Shabelle Region which aims to raise community awareness and mobilize people everywhere to bring about change through targeting Community leaders, Youth Symposium and Women entities to discuss the effects of Female Genital Mutilation  ( FGM )  by Providing families and communities with information about the harm Female Genital Mutilation  ( FGM )  causes – and the benefits to be gained by ending it. We encouraged families and communities taking action themselves and refusing to permit their girls to endure the violation of FGM.
Female Genital Mutilation  ( FGM )  is an extreme form of discrimination against women, reflecting deep rooted gender inequality. Evidence shows that COVID 19 is worsening existing gender and social inequalities.
Somali Young Doctors Association  ( SOYDA )  conducted internally displaced persons IDPs community awareness sessions through informing about COVID 19 risks, prevention, and seeking behavioral change of COVID 19 and good hygiene practice. We also provided face masks and hand sanitizers of the high vulnerability of older people and people with underlying health conditions to COVID 19.
A total of 3,803 of under five children and 1,859 Pregnant or Lactating Women ( PLW )  were provided Targeted Supplementary Feeding Program  ( TSFP )  and Maternal and Child Health and Nutrition ( MCHN )  service in Lower Shabelle region.
Through the facility and outreach program sites Somali Young Doctors Association  ( SOYDA )  was able to reach a total of 3,174 children under five boys and girls for vitamin A supplementation to enable enhance the vulnerable children nutrition status. This has since be able the program to reach more than 81% of the monthly coverage under five children thus indicating greater progress to the set indicators within the program.
Skilled delivery is the core of primary health care services thus the project was able to record success in both facilities and at home visit for the traditional birth attendance hence encourage facility delivery and passed knowledge and information to the mothers in the target areas for safe motherhoods hence this reporting monthly a total 256 safe deliveries were conducted in Somali Young Doctors Association  ( SOYDA )  health and Nutrition facilities. This improvement was also attributed closer coordination between the program outreach team as well as community traditional birth attendants in the project areas.
On the same reporting period a total of 1,657 women of reproductive age have received T1 T5. The community health workers are continuously conducting community sensitization and education in the project areas.
Somali Young Doctors Association  ( SOYDA )  conducted Training of 20 participant for Psychosocial Support Service counsellors to deliver one on one and group psychosocial support and counselling for traumatized women and girls in the IDP camps.127 Hygiene kit distributions were done to the target IDPs.
Somali Young Doctors Association  ( SOYDA )  provided 173 families for Tailored material assistances in Merka and Afgooye district.
These conditions are further compounded by the lack of access to basic services across Somalia, in particular WASH and health services, and put additional pressure on the limited services that are available.  ( effects of floods )
On average, approximately 300,000 hectares of agricultural land is cultivated across Somalia every season. Flooding impacted nearly 50 per cent of these lands, or 144,000 hectares of agricultural fields across seven states, with Hirshabelle followed by Jubaland, South West and Puntland reporting the highest number of affected people.
In addition, Desert Locust swarms continued to pose a major threat to crop production and pasture, a threat which is likely to continue through 2021.
In riverine areas of southern Somalia, devastating floods since April 2020 destroyed farmland and caused population displacement, leading to significant crop losses and the loss of income from agricultural employment. Consequently, a significant proportion of poor households in these areas are anticipated to face substantial food consumption gaps.
Children with disabilities often struggle to access education in Somalia, due to a lack of accessibility facilities, transport and trained staff.
Also, a lack of actors to provide specialized services undermines efforts invested to assure access to GBV services by survivors. At present, the Gender Based Violence ( GBV )  AoR in Somalia has 58 partners that report on the 5Ws. This is a very limited number compared to the huge population in need.
[ Displaced people ] Their precarious situation is reflected by the main needs reported by IDPs on arrival, which were food  ( 53 per cent )  followed by livelihood opportunities  ( 21 per cent )  and adequate shelter  ( 8 per cent ) .
Limited specialized services such as rape treatment for rape survivors, psychosocial support and higher levels of mental healthcare for traumatized women and girls are major hindrances to expanding provision of timely, confidential and quality GBV services.
Most IDPs rely on primary healthcare services provided by humanitarian partners, and according to the DSA conducted in January 2020, almost a quarter of all IDPs sites did not have access to healthcare facilities.
The COVID 19 pandemic has further shrunk service provision and access for survivors. The GBV/FGM COVID 19 rapid assessment reveals that accessibility of GBV services in the community was below average. Only 47 per cent of the respondents indicated they had access to GBV services. Reasons for the lack of access included limited movement of staff, limited movement of Gender Based Violence survivors, closure of Gender Based Violence services, increased cost of service provision, fear of COVID 19 infection, lack of protective equipment and remote methodology for service provision.
The cholera outbreak was fuelled by the extensive floods in 2020, which limited access to safe drinking water, and increased poor sanitation and population displacement.
Limited/weak capacity for coordination in the prevention of Gender Based Violence continues to be a major gap to improving GBV service provision. The persistent lack of capacity for coordination limits the ability of the Gender Based Violence AoR to act proactively to improve quality and scope of services.
Displaced households returning to areas that experienced conflict face a lack of basic infrastructure and services, resulting in continued vulnerability.
Scavenging for required items, borrowing cash, living with others and moving from one location to another are the predominant coping strategies when faced with limited access to shelter, especially for those who cannot afford living costs, including rent. This results in a higher likelihood of individuals moving into close quarters, usually informal and overcrowded settlements, for shelter, putting them at higher risk of COVID 19.
The priority needs include access to education, vocational training, healthcare, and livelihoods. The needs are due to lack of income to make ends meet, coupled with a high cost of living, and overstretched public service systems.