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2018
Kerala Floods
Joint Detailed Needs
Assessment Report
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Multi Sector Joint Detailed Needs Assessment (MS- JDNA) As per Sphere India Inter Agency Coordination Standard Operating Procedures (SOP)
• Joint Rapid Needs Assessment (JRNA) is conducted within 72 to 96 hours of the disaster aiming at first 3 to 4 weeks of emergency response needs across sectors.
• MS-JDNA is conducted after 3 to 4 weeks of the onset of disaster based on a sample survey, Focus Group Discussions (FGDs) and key informant interviews aiming at analyzing recovery needs as 3 months, 6 months and 1 year
• Post Disaster Needs Assessment (PDNA) is a comprehensive damage and needs assessment aiming at analyzing complete rehabilitation, reconstruction and recovery needs.
Disclaimer: The interpretations, data, views and opinions expressed in this report are collected from various sources including Government of Kerala, NDMA/Government of India, Inter-agency field assessments, organisation level assessments and from media sources. It does not necessarily carry the views and opinions of any humanitarian organisation or Sphere India (National Coalition of humanitarian agencies in India) as a collective directly or indirectly. It is interpreted only for assessment purpose. Note: The report may be quoted, in part or full, by individuals or organisations for academic or advocacy and capacity building purposes with due acknowledgements. The materials in this document should not be relied upon as a substitute for specialized, legal or professional advice in connection with any particular matter. The materials in this document should not be construed as legal advice and the user is solely responsible for any use or application of the materials in this document.
KERALA
MS-JDNA
2018
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IN THE AFTERMATH OF THE FLOODS IN KERALA I SEPTEMBER 2018
Sphere India
Sphere India Secretariat
2 ND Floor, 95-National Park, Behind LSR College
Lajpat Nagar-4, New Delhi- 110024
E-mail: [email protected]
Web- www.sphereindia.org.in
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Contents
Contents
1. Executive Summary 7
2. Background 8
3. Relief Measures – GO & NGO 9
4. Field Assessment 11
5. 5.1-Health 12
5.2- Gender 13
5.3- Shelter 16
5.4- Education 21
5.5-Livelihood 26
5.6-Nutrition 29
5.7-WASH 33
5.8-PWD 39
5.9- Protection 41
5.10- Heritage 58
5.11- Communication 59
6. Assessment Methodology 61
7. Acknowledgements 63
8. Annexures 64
1. Sector Lead details
2. Organisations involved in JDNA Process
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Acronyms
AAY Antyodaya Anna Yojna Ration Card
AHD Animal Husbandry Department
CFW Cash for Work
DRR Disaster Risk Reduction
IAG Inter-Agency Group
ICTI International Centre for Technological Innovations
IGSSS Indo-Global Social Service Society
KII Key Informant Interviews
KSDMA Kerala State Disaster Management Authority
MGNREGA Mahatma Gandhi National Rural Employment
Guarantee Act
NDRF National Disaster Response Force
NGO Non-Government Organization
NPHH Non-Priority Household Ration Card
NDMA - National Disaster Management Authority
NDRF - National Disaster Response Force
NDRT- National Disaster Response Team
NFI Non-Food Items
NGO Non-Government Organization
NIDM National Institute of Disaster Management
PDS –Public Disribution System
PRI Panchayati Raj Institutions
SC Schedule Caste
SDRT State Disaster Response Team
SHG Self Help Group
SRC Special Relief Commissioner
ST Schedule Communities
UCT Unconditional Cash Transfer
UN -United Nations
UNDP United Nations Development Programme
VDMC Village Disaster Management Committee
WASH Water Sanitation and Hygiene
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1. Executive Summary
With the state receiving 758.6 mm rainfall
between 1st August and 19th August, 164%
more than the average of 287.6 mm, Kerala
faced unprecedented flooding. Kerala
received 42% more rains than usual since the
onset of the Monsoon in June. By mid-
August, there had been 2346.3 mm of rainfall
instead of an average of 1649.55 mm. The
highest rainfall was in Idukki district, which
received 92% more rains. This was followed
by Palakkad, which received 72% more rains.
The unprecedented rainfall coupled with
ensuing floods and landslide had brought
Kerala to standstill in the month of August
2018. In all 474 people have been reported to
have died, 12.47 lakh people were displaced,
and around 20,000 houses seriously
damaged.
The Government of Kerala with the support
from NDRF, Army, Navy and Air Force worked
tirelessly for providing rescue and relief
support to the affected population. As per
KSMDA in span of 30 days between 1st august
to 30th august 339 human lives were lost while
3.4 million people were there in around 12300
relief camps. 10319 houses got fully damaged
and over 1 lakh were partially damaged.Over
10,000 KMs of major roads were washed away
and 16000 hectare of land was lost. Along with
the Government agencies, several civil society
organizations, students groups, INGOs and
NGOs are responding to the immediate worst
affected accessible areas in 9 districts namely
Alappuzha, Idukki, Pathanamthitta,
Ernakulam, Thrissur, Kozhikode and Wayanad
besides parts of Kannur, Palakkad,
Malappuram, Kottayam and Kollam.
01
02
03
04
23 Million People Affected According to the Government of Kerala, large part
of the total population of Kerala had been directly
affected due to flood and related incidents.
504 People Lost Their Lives In a span of 30 days in August 339 lives were lost and 3.4 Million
People took shelter in 12300 relief camps
10319 Houses fully destroyed & Over 1
Lakh partially damaged More than 220,000 people left Homeless also floods had
damaged 83,000km of roads, including 10,000 km of major
roads.
21,000 Cr. Economic Damage A total of 60,000 hectares of agricultural crops have
been destroyed. The approximate estimate of the loss is
more than the annual outlay of the state.
Read more at:
//economictimes.indiatimes.com/articleshow/65539668
.cms?utm_source=contentofinterest&utm_medium=tex
t&utm_campaign=cppst
*Source- KSDMA, NDMA & Media Reports
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2. Background
The unprecedented rainfall led to massive
floods causing death, displacement, and
destruction that may take years to rebuild.
There has been extensive destruction of roads
estimated at 83,000 kilometres blocking early
efforts in movement of relief materials and
supplies. It has been reported that 221 bridges
were seriously damaged, some of them had
been washed away.
A series of landslides across the Western
Ghats in Idukki, Wayanad, and Palakkad
districts added to the impact. Several parts of
these districts were left isolated by the
landslides. Water pumping stopped in several
drinking water projects that depended on
rivers adding a drinking water crisis to the
problem.
Schools were closed and many were
converted into relief camps. A state wide red
alert was declared for days during the peak of
the floods. Kochi international airport was
flooded and damages stopping its
functioning, and Kochi metro had to stop
operations. Trains were suspended and road
transport was disrupted in the flood hit
regions. Thousands of hectares of agricultural
land with crops in different stages were
washed away. These included thousands of
hectares cultivated by joint liability groups of
women under different schemes. Along with
farming, numerous types of different
livelihoods have been affected.
The water levels in most of the affected
districts have receded although some low-
lying areas in Kuttanad continue to be
inundated.While most displaced communities
have returned to their homes and started
cleaning their homes and trying to rebuild
their lives, there are still a few people continue
to live in the relief camps as their houses have
been completely destroyed/ unfit to live or
continues to be in water. The local
administration is supporting all affected
people who are in the camps. Dry ration,
vegetables, health packages, drinking water,
sanitation facilities are being supplied. The
ICDS is active and they are providing all
support to the children in the affected areas.
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The table below gives details of the areas that were notified as flood/landslide affected till 29th
August 2018.
Total Population of Area Affected 35 million
Male 16,027,412 Female 17,378,649 Total Child Population (0-6 Age) 3,472,955 Male Population (0-6 Age) 1,768,244 Female Population (0-6 Age) 1,704,711 Reported Deaths 504 due to floods and landslide; 147 due to
leptospirosis2 Overall Affected Population Estimated at 23 million
people Overall affected Children Estimated at 07 million people Severely affected Population 3.4 million were in relief camps
Severely affected children 0.3 million Estimated financial loss 21,000 crore INR (approx. 3 billion USD) Total
3. Relief Measures and GO-NGO
Coordination During floods the heroic efforts of the
fishermen who rescued more than 65,000
marooned people from some of the worst
affected districts and the efforts of the rescue
teams from the National Disaster Response
Force (NDRF), Indian Army, Navy and the Air
Force who evacuated marooned people using
boats and aircrafts along with the Government
officials, elected representatives and women
and youth volunteers showed the resilience of
the communities to come together to help
each other. The self organising, self driven
innovative solutions using inter operable
technology platforms, mobile applications,
web portals and virtual army of IT savvy youth
who designed, developed and implemented
innovative solutions to fast track search and
rescue, evacuation and monitor rehabilitation
and relief distribution etc. showcased several
good practices.
• The structured efforts of the state
government under the leadership of
the Chief Minister has been able to
mobilise Rs. 1620.51 Cr in CMDRF
through donations from individuals
and groups.
Indian Army, Indian Navy and Indian
Air Force have led and contributed to
the largest disaster recovery operation.
This operation spanned over 16 days
and rescued more than 50000 people
all over the state. The Indian army also
restored temporary access to 26
bridges and many inaccessible roads.
• The Southern Naval Command
dispatched four diving teams with
dinghies and one Sea King helicopter
to Wayanad district to render
assistance to the local population.
Teams have been augmented by
Gemini boats, divers and other
resources from both Eastern and
Western Naval Commands of the
Indian Navy. 92 diving teams have
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been deployed at various locations
across the affected districts.
• NDRF also contributed to the rescue
and evacuation of 535 and 24,000
respectively. 119 animals were also
rescued by the force.
• State level forces under ‘Operation Jal
Raksha’ engaged 40,000 police
personnel, police boats, coastal police
boats, marine commandos, women
battalions, coastal police, State Disaster
Response Force members who actively
participated in immediate evacuation
and emergency food aid. Kerala Fire
and Rescue Services have deployed
3200 members of the force for rescue
operations. A 24 hour control room
was opened in Secretariat for
coordinating relief and rescue
activities.
• Kudumbashree has provided food and
collected relief materials from all
possible areas and distributed in
camps. The cleaning drive was
undertaken cleaning of 1.13 lakh
residential premises and 3100 public
spaces across 10 districts. Each
cleaning team had about 20 to 25
women equipped with bleaching and
cleaning lotions. A total of 320
Community counselors of
Kudumbashree have offered
psychological support to over 11,000
affected people. They have also
contributed to improved local level
coordination. The Kudumbashree
members have contributed their one
week’s savings amounting to Rs.7
Crore to CMDRF.
• The local fishermen of Kerala
undertook rescue operations
regardless of torrential rain. They did
not think of their safety, their families
or any monetary gains from the
government as they joined rescue
mission. Over 669 boats went out with
4537 fishermen, and they have saved
at least 65000 lives.
• As of date, Union Government has
supplied 73 MT of essential emergency
drugs including 1000 injection
Adrenaline vials; 2.25 crore Chlorine
tablets (one tablet for chlorinating 20 L
of water); 80 MT of Bleaching powder,
and 4 lakh units of Sanitary Napkins to
the state government besides 1000
liters of Cyphenothrin 5%, 500 kg of
Diflubenzuron 25% and 250 litres of
Malathion (Tech).
• NIMHANS, Bengaluru has already
deployed a 40-member psycho-social
team (Psychiatrists, Psychologists and
Psycho-social workers), one team for
each of the 14 districts for rapid
psycho-social assessment and
community -based psycho-social care.
• As per the request received from the
state, the Government of India sent 30
specialist doctors, 20 General Duty
Medical Officers and 40 Malayalam
speaking nurses. Also, 12 public health
teams, each comprising of 1 public
health specialist, 1 microbiologist and 1
entomologist were deployed to assist
the State health department in various
public health measures.
• Kerala flood relief operations have
shown a resurgence of solidarity
among people. People from different
sections of the society, including
students, politicians, groups, NGOs,
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Government officials and activists have
come forward and participated in
various relief and rescue activities.
• Collection and distribution of relief
materials was one of the major tasks
carried out by the volunteers from all
walks of life from within and outside
the state. Thousands of volunteers
relentlessly worked for several days to
restore normalcy in Kerala.
• Social media platforms were used to
reach out to the people, to spread
awareness, and also to curb the
spreading of fake news. Social media
platforms became control rooms
overnight for relief coordination needs
of the state.
4. Field Assessment Sphere India coordinated a Multi-Sectoral Joint Detailed Needs Assessment (JDNA) in the
10 worst affected districts namely Alappuzha, Ernakulam, Idukki, Kottayam, Kozhikode,
Malappuram, Palakkad, Pathanamthitta, Thrissur and Wayanad in 11 sectors each led by one
of the Sphere India sector expert organisations. The objective of the assessment was to
analyse the extent and impact of the disaster in the core sectors of WASH, food security,
nutrition, shelter, health, education, gender, livelihood, protection, heritage etc. The
outcomes of the assessment are presented in the following sections.
S.L No
Name of the District No of Household Covered
No of Village Covered
No. of GPs Covered
No of FGDs Completed
1 Alappuzha 80 08 10 02
2 Palakkad 95 10 10 10
3 Malappuram 106 10 10 10
4 Idukki 81 08 06 08
5 Ernakulam 77 08 06 05
6 Thrissur 65 08 05 08
7 Kottayam 66 08 06
8 Wayanad 88 10 05 06
9 Kozhikode 80 08 04 08
10 Pathanamthitta 80 08 04 08 TOTAL 818 86 66 65
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5.1 HEALTH
Key Findings
• Patients of NCD (Diabetes &
Hypertension) have lost their
medications and medical records.
Drugs were not available to them.
• Patients of chickenpox are increasing
due to crowding at homes.
• Fear of spread of leptospirosis,
malaria and dengue leading to high
OPD load in most of hospitals. More
load in the evening
• Children are prone to malnutrition in
district with relatively high rates of
malnutrition (Wayanad / Palakkad)
• Sleep disturbance and mental health
problem noted in many districts
• Diarrhoea cases also coming in large
number in all hospitals and camps
Key Recommendations
• Availability of NCD drugs needs to be improved
• Evening OPD & Lab tests throughout the day especially in evening
• Restart & recovery of all Anganwadis as soon as possible
• Mental health services in district hospitals needs strengthening
• Nutritional & Health assessment of Pregnant Women and lactating mothers & Children in
districts with vulnerable population (Tribal, fishermen & Dalit)
• WASH condition needs urgent intervention e.g cleaning of wells & decontamination of
drinking water sources
• Districts with high malnutrition rate and major infrastructure damages require Vitamin A
supplementation for all children between 9 months to 5 years.
• Restoration of routine Immunization Services as soon as possible in all the districts especially
in forest areas.
• Detailed assessment of each health facilities for damage and functionality post floods is
urgently required.
• Vulnerability assessment of all health facilities towards floods and cyclones.
• Training of health workers on nutritional assessment and treatment of malnourished
children in communities and inside health facilities.
The leptospirosis cases have increased 2 fold this
September than previous 2 years: 2016,2017
Comparable number of deaths in Kerala, still higher
than the previous years.
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5.2 Gender Analysis
Key Findings- Overall assessment findings indicate that women, girls, children, elderly people,
disabled, people with prolonged illnesses are most vulnerable. Lactating mothers and pregnant
women with less/no care and no special attention for their specific needs is making them more
vulnerable.
Head of Household
Based on survey response, 70% of the families
had male heads of households and approx.
30% had female heads of households.
Transgender head of household was seen
only in one household.
Gender Based Violence
There were no cases of gender-based
violence reported by the persons surveyed. In
certain areas such as Thiruvalla in
Pathanamthitta, adolescent girls shared that
they feel uncomfortable due to comments
from boys when they go out in public places.
In another village girls shared about their fear
of trafficking. Their parents do not allow girls
to play in public places. They are however
allowed to go to school. Some girls and boys
have stopped going to schools as their school
material has been lost.
Perceived risk to children
The greatest concern of more than 40% of
families is the safety of girl children. Others
were concerned about safety of both boys
and girls while traveling alone due to incidents
against children and danger from wild
animals. There were also concerns around
damage from shelter. 5% of the respondents
confirmed that there were incidents of
violence and abuse against children that they
are afraid of .
The focused group discussions with children
groups also revealed that many children are
scared that they can be hit by floods again.
Some are concerned about how long it will
take for their family to recover. They want to
watch television but TV has been broken/
damaged due to floods.
Involvement in Income generation activities
Women shared that men are involved in
construction work and women lack the skills
to undertake major household repairs and
construction. This will impact negatively the
elderly, widows and female headed
households. They may be unable to purchase
or transport shelter materials and tools or
draw on the labour needed to help them
rebuild or repair houses. Cleaning their house
once they go back will be also difficult for this
group of women.
Privacy for Bathing
Post floods in Kerala, the private spaces for
bathing have also been affected and women
and girls are facing a challenge. Women and
adolescent girls are facing a challenge due to
lack of private space for latrine. 34% of
respondents do not have access to private
space for latrine, and another 30% do not
have adequate space for bathing. To maintain
personal menstrual hygiene, more than 70%
of women and girls in reproductive age use
sanitary napkins, while the rest use cloth and
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other material. A district wise analysis shows
that the challenge of privacy for bathing is
highest in Malappuram, Wayanad and
Palakkad followed by Kozhihokde and
Alappuzha.
Personal Hygiene: Women and girls in reproductive age are the struggling to maintain personal
menstrual hygiene as the sanitary napkins received as a part of relief assistance are used and more
are required. Some have not received any assistance and are managing with cloth.
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
General Mensturation Practices
Use sanitary napkin
Use cloths
Others
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Menstruation Practices: In majority of families women and girls use sanitary napkins. However, there
was also a difference in practice observed in certain age groups. It was observed that most of the
adolescent girls were using sanitary napkins while some women above the age of 40 were using
cloth for menstrual hygiene purpose. The use of cloths and other material was highest in Palakkad,
while the use of sanitary napkins was highest in Ernakulum, Alappuzha and Thrissur.
Disposal of sanitary napkins and used cloths: Majority of respondents shared that the used sanitary
napkins are thrown in heap of solid waste or household waste. Approximately 10% also shares that
they throw the use napkins in water and damp marsh in the village surrounding. A small number
also burn the cloth and napkins post use.
KEY
RECOMMENDATION’S
PSHYCO SOCIAL SUPPORT
Psychol Social support should be provided to children
so that they are no more scared of going out and do
not live with a fear of floods.
NEEDS OF PREGNANT & LACTATING MOTHERS
Specific needs of pregnant and lactating mothers
should be addressed. Private spaces need to be
created for bathing and toilet.
SUPPORT OF SANITARY NAPKINS
Support of Sanitary napkins should be made for
the next 2-3 months, along with sensitization
on safe disposal of used napkins.
LIVELIHOOD OPPERTUNITIES FOR WOMEN
Livelihoods opportunities should include options for
creating opportunities for women to earn based on
their skills. Skills development and support through
small enterprise should also be considered.
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5.3 Shelter
Floods in Kerala have impacted shelter in
various ways. The impact ranges from
complete collapse of house to partial damage
and minor damage. Following floods since
most of the people have returned to their
homes from relief camps, they have initiated
repair and rebuilding activities. The poor and
marginalized groups however, need
assistance to help them recover from the
impact of flood.
Type of houses: Before floods, the affected
population in the areas surveyed, were living
in different types of houses. Overall, based on
the survey 21% of houses in affected areas
were traditional mud houses/huts. 48% were
semi-pucca, and 31% were Pucca houses.
District wise analysis of types of houses in
areas having highest impact of floods shows
that highest number of temporary huts and
houses made of traditional mud are in
Wayanad, Palakkad and Kozhicode. The
highest number of floods affected Semi-
Pucca houses are in Pathanamthitta and
Idukki followed by Alappuzha. Highest
number of Pucca houses in flood affected
areas were found in Malappuram, Ernakulum
and Thrissur.
14 10 0 213
2 10 5 2 122 3
4 1
1616
29
2 2
26
48
18
71
41
2636
33
62
23
35
15
43
5
22
2753 23
10
37
15
TYPE OF HOUSE
Temporary/Hut Traditional/Mud Semi-pucca Pucca
0 50 100
No
Yes
Legalpapers before floods
Wayanad
Thrissur
Pathanamthitta
Palakkad
Malappuram
Kozhikkode
Kottayam
Eranakulam
Alappuzha0 20 40 60 80
No
Yes
Legal papers after floods
Wayanad
Thrissur
Pathanamthitta
Palakkad
Malappuram
Kozhikkode
Kottayam
Eranakulam
Alappuzha
Cat
ego
ry o
f d
amag
e -
Ho
use
stru
ctu
re
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Land Ownership: One of the important
aspects of shelter is ownership of land. As per
the survey findings, 12.5% (102 HHs) had legal
papers before floods but have lost their
papers post floods. not now. 10% of
respondents did not have legal papers of the
land before floods.
Post floods, additional 12% lost their papers
hence the total percentage of affected people
without legal papers of the land are 22%.
Approx. 85% of the houses are privately
owned, while the remaining 15% were either
staying in rented accommodation or
squatting. Generally, men are the owners
however, in certain cases joint titles also exist.
Roof Material:
Most of the houses had either CGI roofs or
Thatch roof. 14% of respondents also shared
that the roof materials of their house was
concrete.
Amongst the respondents who shared that
the house roof material was made of other
material they material being used included
Asbestos, brick masonry, bronze, clay tiles,
Oduu (traditional clay tiles), plastic sheeting/
flex material and Olappura (Leaf thatch).
Material of Walls
Walls of most of the shelters (91%) were made
of bricks. Other material used for walls
included bamboo matting, CGI sheets and
timber planks.
Frames: Most of the houses (64%) had
concrete posts as frame material. Besides
concrete posts the other material used for
frames was timber and mix of bamboo and
timber.
Material used in Flooring and
Foundation
For flooring, concrete, brick masonry and
timber was used in shelters of the
respondents of the study. For foundation of
houses, approx. 50% of houses used brick
masonry, while the others had used
concrete.
Size of house
94%
4% 2%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Private Renting Squatter
Roof Material
0%20%40%60%80%
100%
BambooMatting
Bricks CGISheet
Timberplansand
bricks
CGISheet
3%
91%
2% 3% 1%
Material of Walls
0.00
5.00
10.00
15.00
20.00
25.00
Lessthan10
10 to20
21 to40
41 to60
61 to100
101and
above
Size of households
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There is significant variation in size of houses
in affected areas, with the smallest huts built
in less than 10 sq yards to some houses
above 100 sq yards area.
Damage to individual Shelter: 33.6% of the
houses surveyed were completely collapsed,
and another 35.2% were partially collapsed.
These houses will require reconstruction and
major repair work. Besides these, 28.7%
houses had received minor damage. 20% of
respondents believe that their house is under
threat of eviction stating reasons such as bank
loan, full collapse of house and significant
cracks making it unsafe to live in the same
house.
Shelter support should include a menu of
options from provision of material and
technical support to labour and cash, along
with rental support
District wise damage
Alappuzha, Idukki and Malappuram have suffered highest number of complete house collapse
0
10
20
30
40
50
60
Category 1 Category 2 Category 3
Shelter Damage
Alappuzha
Eranakulam
Idukki
Kottayam
Kozhikkode
Malappuram
Palakkad
Pathanamthitta
Thrissur
Wayanad
(House collapsed) (Partially damaged) 50-75% (Minor damage) 20-50%
Category
Number of
respondents
Percen
t
Category 1: House
collapsed (100%)
Category 2: Partially
collapsed (50% to 75%)
Category 3: Minor
Damage (20% to 50%)
Information not
available
Total
275 33.6
288
35.2
235
28.7
21
2.6
819
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Households living in a different location post floods
In many places, people who lost their homes
to landslide and inundation were unable to
return to their home and getting back to
normalcy. Over 48% of the respondents in
Idukki district reported that they have been
living with their families and 16% of the
respondents are living in temporary shelter
and 39 % of the respondents are living at
rented locations. The team also observed that
the families lost their homes were staying at
homes which are provided by their
neighbours, this is evident that the
community is sharing the burden of their
neighbours
Support Required: For agencies planning to
support in shelter recovery, it is important to
understand the type of assistance required as
per the respondents. While 40% of houses
require reconstruction, or a construction of a
new shelter due to complete collapse and loss
of land, another 56.2% of houses included in
survey need support for repair of their houses.
Kind of shelter assistance needed
Number of
respondents
Percent
Help to repair
New house/
Reconstruction
Information not
available
Total
460 56.2
331 40.4
28
3.4
819
The people affected by flood need shelter
support in terms of material, cash and labour.
20% need labour support, while approx. 40%
houses require material support such as
timber, CGI sheets, bricks and bamboo. Cost
of repair and reconstruction varies from INR
5000/- to 200,000/- Approx. 20% of the
houses included in survey can be repaired
with a support of 5000-20,000/-Indicated
Rental support is 5000/- per month. District
wise analysis shows that highest requirement
of construction/reconstruction support is in
Idukki followed by Alapuzzha, while the
requirement for house repair is higher in
Malappuram. , Palakkad and Pathanamthitta.
Significant repair requirements also exist in
Kozhikode, Ernakulum, Wayanad and
Kottayam districts.
52
9
62
20
29
46
36
2114
42
27
52
17
4653
61 59 59
4246
0
10
20
30
40
50
60
70
Kind of help needed for reconstruction
A new house ( Reconstruction of new house) Help to repair your house
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Potential Contribution from the affected
people: According to 30% of the
respondents, material from the old house
existing before flood can be salvaged and
26% stated that they can contribute through
labour. Partial cash contribution was also
mentioned by some respondents.
KEY
RECOMMENDATIONS
01
02
03
04
05
06
Repair of damaged shelters through provision of material,
cash and labour support. Relocation of vulnerable houses
which are at risk
Prepare & encourage community to build flood resilient houses with available local resources.
For families who have lost their homestead, identifying possibilities of rental support, & construction of transitional shelters.
In Landslide prone zone, reconstruction should be carried out
post study of land based on the stability & identified safe zones.
All reconstruction should consider resilience and
environmental impact/ carbon footprint. Local resources should
be mobilised as much as possible.
Joint planning for shelter recovery
should be done with the affected people who have lost their
house,with contribution from the owners of the house.
Pag
e21
5.4 Education
Current Status
The Kerala floods 2018 impacted school
education in all ten districts where very heavy
rainfall caused flooding and landslides.
Students, teachers and school administrators
were affected and school infrastructure faced
damages. The losses are observed in terms of
trauma to students caused by the hazard
event, loss of learning materials of students
and teachers, disruption of learning cycle, loss
of teaching days and damage to school
infrastructure.
Schools were used as relief camps and
transition/ temporary shelters. The routine
academic schedules were disturbed and the
safety of school going children became a
concern during the floods. The above
concerns had to be addressed to establish
child friendly, safe and protective learning
spaces in the post flood situation.
Key Findings
The situational analysis from the household
surveys, Focused Group Discussions and Key
Informant Interviews which were undertaken
in 10 districts indicate that the main constrains
for resumption of school education are the
following:
1. Lack of safe water and sanitation
As drinking water sources such as wells,
ponds, fresh water streams and piped water
supply systems faced damages and
contamination, re-establishment of safe
drinking water and potable water facilities in
schools is required to ensure water quality for
drinking and cooking purposes. This is
essential to ensure the smooth functioning of
mid day meals to students.
Repair and restoration of water supply in
toilets and reconstruction of damaged toilets
in schools will safeguard the hygiene and
sanitation needs of both girls and boys. The
toilets in schools need to have adequate
safety and privacy for girls and boys. Potable
water is a key element to ensure menstrual
hygiene management for adolescent girls in
schools. Waste management and excreta
disposal in schools need to take into account
school water sources to ensure non-
contamination of water sources and
sustainability of water needs.
2. Unsafe school buildings that need repair
Schools in the low lying areas in the path of
localised landslides have faced structural
damages due to heavy rain, flood waters and
water seepage. The damages to school
buildings include fully or partially damaged
walls, damage to wiring and classroom
infrastructure. It is unsafe to continue regular
classes or academic responsibility for
students, teachers and school administrators
in such high risk and hazardous learning
environments. It is necessary to adopt safe
building codes to reconstruct damaged
school buildings and sanitation facilities.
3. Mental Health issues- Need for
Counselling
The crisis situation that emerged during the
days of the very heavy rainfall and subsequent
floods is observed to have had traumatic
impact on the mental health and wellbeing of
school going students. Psycho social first aid
and psycho-social support programmes such
as counselling and art therapy will facilitate
the rapid recovery of student productivity. It
also adversely affected the concentration and
interest among school going children.
Teachers can be trained to provide psycho
Pag
e22
social care and support children from affected
families to cope with the losses incurred and
trauma faced during the disaster.
4. Unsafe access to schools (damaged roads
and bridges)
The flood affected districts faced large scale
damage to public infrastructure such as roads
and bridges. The heavy rainfall induced flood
waters have disrupted safe access to schools
in the low lying areas. In the hill districts of the
state, it was observed that localised landslides
restricted the access to schools. This situation
has disrupted the academic calendar and
learning cycle of students, teachers and
school administrators. Safe access is an
important factor in re-establishing safe and
protective learning spaces.
5. Physical dangers from rivers and
landslides
The swelling of rivers, tributaries, streams,
backwaters and rain-induced landslides
posed physical threats to school going
children disrupting the safe access to school
education. Based on the experience of the
Kerala floods 2018, it is important to note the
high risk zones that increase the vulnerability
index due to physical dangers faced by
students in accessing education. A clear
mapping of high risk hazard zones should be
undertaken to ensure the safety of students,
parents, teachers and school administrators
that access education facilities.
6. Learning resources for students,
teachers
Students have faced losses in terms of
learning materials such as text books,
stationary, school bags, uniforms, academic
records and certificates. Teachers have lost
their learning and teaching resources. Schools
have faced losses in terms of academic
records, class room infrastructure, benches
etc. It is essential to provide the minimum
classroom infrastructure needs for the
creation of a learning environment that
facilitates the provision quality education
among all stakeholders. Ensuring alternate
support structures for student fees and
teacher salaries requires careful consideration
to ensure timely completion of the academic
commitments of students, teachers and
schools
Figure 1
0
10
20
30
40
50
60
NU
MB
ER O
F H
OU
SEH
OLD
RES
PO
NSE
S
DISTRICT
Biggest constraints to school attendance in community/ village
Counselling for traumaGetting teachersIdentify locations for classes; Repair to damaged buildingsNon-formal education classes
Pag
e23
The above figure 1 provides a district wise representation of the constraints to school attendance within communities and villages. The priority constrains
observed is the need for adequate water and sanitation facilities at school sites and repair of damaged buildings. Adequate focus and necessary action in terms
of identification and deployment recourses (financial, material and human) is need to address this common constraint observed in all the flood affected districts.
The heavy rainfall induced floods and landslides have damage school buildings in 6 of the flood affected districts as shown above. It is necessary to identify
alternative learning spaces where damage to school buildings and classrooms are observed. This will ensure the learning cycle of students is not disrupted.
Timely action plans to address the building, repair and structural strengthening is needs to be documented and addressed to ensure the safety of students,
parents, teachers and school administration and staff. Psycho social care and support is required within schools to address the trauma and strengthen the
mental health of students impacted by the Kerala floods and Landslides.
Figure 2
The above figure 2 shows the nature of risks perceived and observed to setup and establishment of safe and protective learning spaces in a
community/ village in the various flood and landslide affected districts of Kerala. The number of household responses in the x- axis represents
the level of importance of the various risks to be addressed as priority through the recovery and reconstruction phase of the disaster. The
major priority risks to be addressed across all districts are the provision of safe basic sanitary and water conditions in schools, repair and
reconstruction of unsafe school buildings and infrastructure. As safe access to schools is an important criterion to be addressed to ensure
student safety. It is necessary to identify places where hazard risks due to unsafe roads, broken bridges, landslide prone areas and undertake
necessary establish infrastructure and safety measures to reduce physical vulnerability of school going children.
Figure 3
0 10 20 30 40 50 60 70 80
Basic sanitary/water conditions
Basic sanitary/water conditions; Conditions of buildings…
Basic sanitary/water conditions; Conditions of buildings…
Basic sanitary/water conditions; Physical danger from…
Conditions of buildings are unsafe
Conditions of buildings are unsafe; Physical danger from…
No caregivers or teachers available
Physical danger from rivers, landslides etc to reach schools
Safety of children (e.g. where children are likely to be in…
No of household responses
Ris
ks
Risks for establishing safe and protective learning spaces in community/ village
Wayanad Thrissur Pathanamthitta Palakkad Malappuram
Kozhikkode Kottayam Eranakulam Alappuzha
0 2 4 6 8 10 12
Lack of safe water and…
Unsafe approach to schools…
Unsafe school building which…
Mental health issues – need …
No teachers are available
Physical danger from…
Learning resources for…
Resources for teachers’ pay
Unsafe passage to schools…
Priority score (10 high and 0 Low -Priority )
Pri
ori
tie
s fo
r R
esu
mp
tio
n o
f Sc
ho
ol
Edu
cati
on
Priority constraints to be addressed for resumption of school education in post
Flood Kerala 2018
0 2 4 6 8 10 12
Lack of safe water andsanitation
Physical danger from riversand landslides to reach…
Unsafe passage to schoolsdue to broken bridges
Unsafe school building whichneeds repair
Learning resources forstudents, teachers and…
Priority score (10 high and 0 Low -Priority )Pri
oti
tes
for
safe
an
d P
rote
ctiv
e le
arn
ing
spac
e
Priorities for setting up/ establishment of safe and protective learning spaces in post
flood Kerala 2018
Pag
e24
The priority score of resumption of school education in Kerala requires addressing the needs to ensure basic water and sanitation facilities,
repair and reconstruction of damaged school infrastructure is the primary focus areas and provision of safe access to schools necessary.
Simultaneously there is a need to ensure adequate and timely provision of psychosocial care, learning resources for students, teachers and
schools. Timely provision of resources for teachers pay is important factor.
Figure 4
The priority score for setting up safe and protective learning spaces shows that priority during recovery and reconstruction phases requires
dedicated resources to address safe access to schools, provision of adequate water and sanitation facilitates within the schools, repair of
school buildings and basic infrastructure. Provision of learning resources for students, teachers and schools is essential.
Recommendations for the resumption of school education and establishment of safe and
protective learning spaces
Major issues Recommendation Activities
Physical damage to schools including lack of safe sanitation
School development plan for
each school comprising of but
not limited to School Safety
plans, School Disaster
Management Plans including
WASH and Child Protection
Programmes.
1. Cleaning , disinfecting , white washing and
minor repairs of classrooms and school
building to ensure a safe child friendly
space.
2. Cleaning, disinfecting, white washing and
minor repairs of kitchen space for quick
restoration of mid-day meals.
3. Cleaning, disinfecting and minor repairs of
school toilets, for girls, boys and children
with special needs (Persons with disability).
4. Restoring safe drinking water facilities in
the schools.
5. Cleaning, disinfecting and painting for
outdoor and indoor play areas including
playgrounds and other recreational
infrastructure.
6. Wall paintings for making the school
environment info graphic rich and child
friendly.
7. Installment of essential learning
equipment and materials inside the
classroom such as blackboards, projectors,
audio visual systems, benches etc.
8. Provision of textbooks and teaching-
learning materials to ensure meaningful
resumption of teaching learning processes.
Provision of sports equipment (indoor and
outdoor) to ensure children’s engagement
with games.
Pag
e25
Teacher availability and teacher presence
Capacity building 1. Training needs assessment of teachers
and education officials.
2. Training of teachers and school
administrative staff of the affected schools
should be undertaken to support them in
accelerated and remedial classroom
learning for the students.
Mental trauma to students and communities
Counselling including referral services
1. Training and mentoring for trauma and
Psychosocial care/ support to teachers and
education managers.
2. Setting up of active referral systems and
counseling.
3. Provision of psychosocial first aid and
care activities for school-age children.
4. Recreational activities and sports for
children indoors and outdoors.
5. Art, music, theater, storytelling, story
writing, story in art form, dance, games,
sports, outdoor excursion to affected areas,
life skill training and craft therapy.
Long term rehabilitation and prevention
Child Centred Disaster Risk Reduction
1. Resumption/ creation of the school
disaster management committee headed
by principal for supervision disaster risk
reduction activities.
2. School disaster management and
preparedness plan including mock drills.
3. Child led evaluations at the time of
project completion.
4. Child protection support facilitated
through participation of parents, teachers.
5. School Management Committee (SMC)
needs to be trained on DRR related
practices. SMC monthly meeting should
have an agenda of School Safety/ DRR.
6. Review and revision of existing
curriculum and textbooks to ensure that
elements of DRR/ School Safety and
Psychosocial support/ care are integrated.
Pag
e26
Policy recommendations
The school education sector requires clear
strategy to address the immediate
recovery, reconstruction and disaster risk
reduction needs in the context of Build
Back Better focusing on school education
as a key aspect of rebuilding a resilient
Kerala throughout the disaster cycle.
A
B
C
MAINSTREAMING the national school safety policy and
programme.
Implementation & practice of the comprehensive school safety policy.
Establishment of Child Centred Disaster risk Reduction
strategy in the context of school education.
Pag
e27
5.5 Livelihood
There is a critical need for sustained action on
livelihood restoration and mainstreaming
resilient livelihoods to mitigate negative
health and livelihood outcomes. Targeted
cash infusion will go a long way to ensure a
resurgent hope in the affected communities.
Inclusive targeting of vulnerable groups and
marginalized groups needs to be prioritized
with a need to incorporate strengthened
community cohesiveness; and referral
mechanisms for those affected.
Livelihoods in the state are very well
connected with practicing members often
connected in formal groups of cooperatives
or committees. This must be taken advantage
of while targeting assistance since these
groups are almost always connected to the
government in some form or manner. The
Government of Kerala is the largest responder
in all areas and liaising with respective district
administrations and departments linked to
livelihoods should be the first step before
delivering any assistance. Kudumbashree, the
poverty eradication programme of the
government is another key initiative that
agencies can link with to identify and support
the livelihoods of the most vulnerable sections
of Kerala’s otherwise broadly affluent society.
The assessment found that traditionally
marginalized communities such as scheduled
caste households, other lower caste
communities, plantation and agriculture
workers and scheduled tribes who display the
lowest human development indices of the
state are still in need of continual support
after the initial surge of relief. Summary of key
findings on the food security and livelihood
situation in the 3 districts along with the
recommended actions for fostering effective
and efficient livelihood early and long-term
recovery programming are given below
Key Findings
• Vegetables and banana harvest for
Onam was lost. Standing plants were
destroyed due to the heavy rain and
flooding.
• Spices such as cardamom, pepper,
cocoa and coffee were also badly
affected as the intense rain damaged
the upcoming harvest. In places,
cropped land was lost due to
landslides.
• Cattle and cattle sheds were lost in
landslides. Many cattle owners who
did not lose livestock are facing the
challenge of feeding them as fresh
fodder is hard to come by. As a
result milk production is reduced and
maintaining cattle is difficult.
• Agricultural labor was badly affected
since work on plantation crops. The
damage to the crops has also meant
the upcoming harvest season will not
offer wage labour opportunities.
• Tourism and hospitality is affected.
• Communities have regular access to
PDS and have received food aid
supplied by GoK and other sources.
Emerging Needs
• Vegetable farmers need support in
the next month itself to restart
cultivation. If it's delayed, then they
cannot cultivate till next year.
• Dairy farmers who have not lost
livestock need support to purchase
fodder so that milk productivity is
maintained, and distress sale is
Pag
e28
prevented. Those who lost livestock
will need support to supplement
government subsidy of 50% of
animal price when purchasing new
cattle.
• Households with small plantations of
spices will need supplementary
income in the coming months to
cope with loss of harvest.
• Households dependent on
agricultural wage labour will need
alternate sources of income in the
next 4 months.
KEY
RECOMMENDATIONS
01
02
03
04
05
06
07
08 Provision of seeds, support for
clearing the paddy fields
(loaded with silt, plastic
&wastes in some areas) and
getting the land ready to
restart farming.
Dairy farmers who have been
affected require provision of
fodder to reduce numbers of
distress sale. Conditional cash
grants for dairy farmers may also
be provided.
Conditional cash grants for
vegetable farmers as well, and
provision of saplings/seeds of
fast growing vegetables
(which also require less
water), which they can grow
in the coming months.
Providing cash for work for
households’ dependent on
agricultural labour and small
landholding households. Supplementary livelihood options
may be considered for farmers who
cannot cultivate their land during
the late Puncha/Virippu season. Bird
rearing could be the most feasible
option in this context.
Adopt scientific practices for
recovering soil fertility and
enhancing productivity.
Unconditional and
Conditional cash
transfer aligned with a
host of activities
required for animal
husbandry and fisheries
recovery needs.
Work through Kudumbashree
network to identify various non-
farm livelihoods and individuals
and groups engaged in non-farm
livelihoods which are in need of
support
Pag
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5.6 Nutrition
Major Findings
(I) IYCF practices and prevalence of acute malnutrition
The findings are based on the 80
household interviews and FGDs
conducted with various stakeholders in
Pathnamthitta district of Kerala. While the
MUAC data is pooled from all 10 districts
through the help of Sphere India and their
volunteers.
Out of 80 households, 44 children were
found within the age group of 0-23
months with a median age 11.5 months.
Figure 1: Children's breastfeeding status
As per the above figure, children in the
assessment area have accessed to improved
breastfeeding practices in the sampled
household with 93% of children who are
breastfed ever and amongst them 77% have
initiated breastfeeding within one hour of
birth and 86% of children have received
colostrum.
From the FGDs, it was understood that infant
formulas and other milk products like
Lactogen have been distributed in the camps
by many Non-Government Organisations
(NGOs) and separate breastfeeding corners
were set up in the camps for mothers to
continue exclusive breastfeeding. With
regular and adequate supply of food aid from
the government and other sources in the
relief areas, mothers did not face issues in
feeding their children while staying in the
camps or after floods.
Amongst the sampled children, the median
age of introducing complementary feeding is
6 months. However, so far as quality of
complementary feeding is concerned, only
11% children between 6-23 months have
access to a minimum acceptable diet as
shown in Figure-2. This was measured
through a 24-hour recall of diet.
The comparable figure for Kerala state as per
NFHS-4 data is 21.4%. The prevalence of a
very low access to acceptable diet indicates
the situation pertaining to food insecurity in
the affected households
.
93.277.3
86.4
0.0
20.0
40.0
60.0
80.0
100.0
Children ever breastfed Children initiated breastfeedingwithin 1 hour of birth
Children fed with colostrum
% Children under two years (n=44)
Pag
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Figure 2: Patterns of complementary feeding practices
As shown in figure 3, prevalence of GAM
(MUAC < 12.5 CM) amongst the sampled
children is 7.5% and the prevalence of
acute malnutrition amongst pregnant and
lactating mothers whose MUAC is less
than 23 CM is 11.3%. As per the Sphere
standards, when child malnutrition rate is
less than 10% with no aggravating factors,
there is no need of population level
interventions. We should continue
individual attention of children.
Figure 3: Prevalence of acute malnutrition in sampled households across 10 worst affected districts of Kerala
Generally, MUAC detects only around one fourth of total GAM in comparison to the gold standard
of WFH. However, in this case the prevalence of GAM (MUAC) is slightly higher from the state
average (WFH score of NFHS 4). This is because the state gives a general average, whereas the
sampled children screened post emergency are from the worst affected districts and households.
70.4
11.1 11.1
0.0
20.0
40.0
60.0
80.0
100.0
Minimum Meal Frequency Minimum Dietry Diversity Minimum Acceptable Diet
% Children from 6 months to 23 months as per their charecteristics of complementary food (N=27)
9.715.7
11.37.5
-10
10
30
50
Women whose Body MassIndex (BMI) is below normal
(BMI < 18.5 kg/m2) (%)
Pregnant and LactatingWomen whose MUAC < 23
CM
GAM as per WHF < -2SD(NFHS-4)
GAM as per MUAC < 12.5CM
% prevalence of acute malnutriton in sampled households
NFHS- 4 (for Kerala) Post Emmegency Assessment
N=280N=141
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(ii) Access to food and food security
Out of 80 household’s assessment, 57.5% of
respondents have received PDS/ICDS or MDM
food in the last seven days.
During the household assessment, respondents
were asked to recall and tell the duration of food
stock that used to last during the peace time
before the crisis. Similarly, they were asked to
estimate their available food stocks during the day
of visit and tell how long that will last. It was
observed, as shown in figure 5, that both cereals
and lentils that used to last for a month have come
down and now it will last for a week.
This shows the impact of food availability, its access to affected households.
Figure 6: Food stock as per their stock duration for households before and during the crisis
47.5 37.5
83.75 87.5
52.5 62.537.5 35
22.5 21.253.75 2.52.5 3.75 0 0
020406080
100
Rice and other cereals Beans, peas andgroundnuts
Rice and other cereals Beans, peas andgroundnuts
During peace time During the day of visit (post crisis)
Total duration for which food stock will last amongst household who have it (in %)
Upto a week Upto month 1-3 months > 3 months
57.5
42.5
% HH received any food aid from PDS/ ICDS/ MDM in last 7 days
Yes No
Figure 4: Access to food from government schemes
Skip entiredays
withouteating
Limitportion size
of meals
Reducenumber of
meals
Borrowfood or rely
on helpfrom
friends orrelatives
Rely on lessexpensive
or lesspreferred
foods
Purchase/borrow food
on credit
Gatherunusualtypes or
amounts ofwild food /
hunt
Sendhouseholdmembers
to eatelsewhere
Sendhouseholdmembers
to beg
Femalememberseat less
Sold anyhouseholdassets tobuy food
Never 86.25 73.75 78.75 85 77.5 86.25 97.5 96.25 100 91.25 97.5
Sometimes 3.75 6.25 5 2.5 5 3.75 1.25 1.25 0 1.25 1.25
Seldome 10 18.75 13.75 7.5 11.25 7.5 1.25 0 0 5 1.25
Daily 0 0 1.25 3.75 1.25 0 0 2.5 0 0 0
Often 0 1.25 1.25 1.25 5 2.5 0 0 0 2.5 0
0%
20%
40%
60%
80%
100%% Households according to their adopted coping strategies for food insecurity
Figure 5
: Ho
use
ho
lds co
pin
g strategy for fo
od
insecu
rity
Pag
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As seen in the figure 6 above, majority of the
affected households did not resort to any
coping strategy for food insecurity post
floods. Out of the mechanisms adopted the
ones which were exercised daily are ‘borrow
food or reply on others’ (3.75%), ‘send
household members to eat elsewhere’ (2.5%),
‘reducing the meal quantity’ (1.25%), ‘opting a
less expensive food’ (1.25%)
Similarly, the coping mechanisms which were
exercised often are ‘rely on less expensive
food’ (5%), ‘female members eat less’(2.5%),
‘borrow food (1.25%)’, followed by ‘limiting the
number and portion of size’(1.25%) and
‘borrow food or reply on others’ (1.25%)
(iii) Functioning of institutions
Though majority of the AWCs and Sub-Health
Centres have started functioning again post
floods, there has been a major loss of the
supplies and equipment in the centres.
Documents and registers have been
destroyed by the flood water. Equipment like
weighing machine, Salter scale, BP
instrument, water heating apparatus among
others are in non-functioning condition now.
Government has started re-supplying stocks
of Take Home Rations(THR) in the AWCs for
distribution to the children and lactating
mothers. Medical staff from the Medical
Colleges and hospitals have been deployed in
all the Health Sub-Centres for a month to
provide essential health services to the
community. Doctors and other health staff
were alternatively visiting the camps during
the flood. Some services like organization of
Village Health and Nutrition Day (VHND),
immunization day are yet to start in some
centers. Due to severe damage to the
infrastructure, some AWCs are currently
functioning in homes of the community
members
Emerging needs
• Cleaning of the drinking water source/s
• Distribution of chlorine tablets to all households
• Replacement of the damaged equipment and supplies to the Aanganwadi Centres and
Health Sub-Centres
• Infrastructure damage caused by the floods requires categorisation in terms of extent of
damage followed by subsequent corrective measures including re-shifting the centre,
painting of the walls, floor cleaning etc.
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5.7 WASH
Major Findings
• Most of the houses had access to total sanitation before the disaster; now the
houses along with toilets have been washed away by the landslides / floods for the
affected households.
• Some of the families are resorting to temporary sanitation facilities by digging a pit
near the households. 39% women expressed privacy and dignity issues regarding
the same.
• 58% of the households have already begun restoration of the sanitation facilities.
• Most of the families reported challenges faced by them to restore / repair their
sanitation facilities – Unaffordabilty of materials and tools reported by 78%
households.
• Regarding the handwashing practices, 92% households claimed that they used
soap.
• Menstrual hygiene practice: Majority of the women and adolescent girls use
sanitary napkins. Unsafe disposal of sanitary napkins.
IMMEDIATE
• Restoration / Rehabilitation of existing water sources
• Testing of water sources for quality and safety
• Construction of new water filtration system with DRR component
• Rehabilitation of partially damaged toilets
• Public health promotion focusing on MHM, safe water chain and hand washing at
critical times
SHORT TERM
• Formation of Village level Water & Sanitation Committees
• Training of local mechanics
• Public health promotion on menstrual hygiene management – safe disposal
• Installation of electric incinerators in schools
• Advocacy with the Government to cover the partially damaged/ dysfunctional toilets
under SBM
LONG TERM
Rain water harvesting
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A.WATER Water Source
Distribution of households according to water source
The source of water is mainly supply water i.e.
OHT (overhead tanks constructed by the
government with water drawn from bore
wells) with 57 percent of the households
collecting water from it. The water from the
overhead tanks is available only for only two
hours in the morning and the households
store water in storage containers. The other
main source of water supply are tube wells
supporting 29% households. Only 2% of
households are dependent on dug well. The
above figure (Fig 5) also shows that some
households use more than two sources of
water supply with 11% using both tube well
and supply water and 1% using both dug well
and supply water.
Water Source Ownership
Out of 280 water sources quoted in
the survey, 52% are owned by the
Government/Panchayat, 21% by
the households and 7% by the
community. There are about 20% of
the water sources which are not
under community ownership.
298
254 11
5822
290
87
0
50
100
150
200
250
300
350
Source of drinking water before floods
72(21%)
24(7%)
184(52%)
72(20%)
WATER SOURCE OWNERSHIP
PERSONAL COMMUNITY GOVERNMENT OTHERS
Fig 6. Distribution of households according to water source ownership
Pag
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Water Accessibility
It is generally the women who collect water
from the source. Majority (84%) of the
households collect water from a distance of
within 50 meters. It was also observed that 2%
of the respondents had to travel for more
than 500 meters to fetch water (Fig &7).In
order to gain an idea of the accessibility to
water in the target villages, the respondents
were asked to estimate the amount of time
they need, in order to collect water from the
water source. The waiting time may indicate,
whether the water sources are sufficient
enough to supply the community with daily
drinking water. Based on the answers, 17
respondents answered the question, whether
they had to stand in line to collect water with
“Yes”, while majority (191) denied any waiting
time. It was also observed that, out of 17
households, 41% (7HH) expressed that they
have to wait for almost 30 minutes to collect
water from the water source whereas about
12% expressed that they have to wait for
almost an hour to collect water. Hence, it was
observed that majority of the households did
not have issues with availability and
accessibility of water.
Regarding perception of quality of drinking
water, about 84% of the respondents
expressed that water taste is good whereas
16% expressed water taste as bad. More than
half (62%) of respondents think that water is
not contaminated. Majority (90%) of the
020406080
100120140160180200
Good Bad Yes No Don'tKnow
Yes No Don'tKnow
Yes No Good Bad Good Bad
Taste Contamination Risk & Safety Availability &Access
Colour Smell
PERCEPTION : WATER QUALITY
Taste Good Taste Bad Contamination Yes
Contamination No Contamination Don't Know Risk & Safety Yes
Risk & Safety No Risk & Safety Don't Know Availability & Access Yes
Availability & Access No Colour Good Colour Bad
Smell Good Smell Bad
Pag
e36
respondents reported that water is available
and accessible. It was also reported that the
colour and smell of water is good by majority
(88%) of the respondents.
Daily Water Consumption per
head
It was observed that the average
consumption of water per household per day
is 120 liters as shared by the respondents
according to their individual estimation. The
chart below shows the average quantity of
water used for different purposes i.e. cooking,
drinking, washing, bathing. Hence it was
observed that the daily water consumption
per head meets the SPHERE standards (15
liters).
Mode of Water storage During the baseline, (Fig 10) the majority of
households, i.e. 64% claimed, that they used
a vessel – plastic/ metal (kalsi) with narrow
neck for storage of their drinking water, all of
which – based on the investigation of the
surveyors – were covered properly (64%).
32% of the households used more than two
different types of containers to store water like
vessels, buckets, Oxfam buckets, pots etc.
Within the sample frame 23% of the
households were already provided with
Oxfam buckets (at the time of interview)
during the conduction of the survey and were
using it properly. It was also observed that
almost all the households cover the water
storage containers.
Among the (78%) households who did claim
to treat their drinking water before
consumption, majority (81%) shared that they
boil it before consumption. 5% of the
respondents are using chlorine tablets given
to them in the hygiene kit, to purify water.
(Distribution of hygiene kits had started only
in a few villages). The data also revealed that
4% of the respondents used canisters of
packaged drinking water.
Fig 9. Average breakup of daily water consumption of households
0
20
40
60
80
100
120
140 132(81%)
8(5%)3(1%)7(4%)
3(1%)9(6%)
BOILING
CHLORINETABLETS
FILTER
METHOD OF PURIFICATION OF WATER
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B. SANITATION Place of defecation
During the baseline, the participants in the
KAP-Survey were questioned about their
regular place for defecation prior to
Oxfam’s intervention in the target villages,
in order to verify on the access to sanitation
facilities and whether the community use
them. The baseline shows that majority
(83%) of the respondents, didn’t have
access to a latrine but went for open
defecation, i.e. 59%, to the roadside, 15% in
open field, and 8% in both open field and
roadside. According to the answers, only
17% of the households covered in the
survey mentioned, to use a latrine for
defecation. baseline shows (Fig 16), that out
of 46 households that own a latrine, only 33
households use latrine for defecation. The
remaining 13 households did not use latrines
due to reasons like, no wall, no roof, pit full of
excreta etc. The data further indicates that
both female and male members of the
households did use the latrines almost
equally. Among the users 53% are females
and 47% are males
.
36(17%)
31(15%)
2(1%)
123(59%)
11( 5%) 5(3%)
Latrine
Open field
Water Bodies
Road side
Both latrine &Open field
Both Open field &Road side
PLACE OF DEFECATION
33(71%)
13(29%)
USAGE OF LATRINE
YES
NO
54(47%)60(53%)
DESEGREGATED DATA FOR USAGE OF LATRINE
MALE
FEMALE
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HAND WASH
Hand wash: Critical times
Regarding the hand-wash practices,
the respondents in the KAP-Baseline were
asked in a multiple option question about
the key moments when they wash hands.
Accordingly, all the respondents wash their
hands before food and after defecation, 87
% before cooking, and 39% before feeding
their children. The data is quite
contradictory to the findings of the focus
group discussions where it was observed
that the hand washing practices are
relatively low among the community. This
may be, as most of them went for open
defecation and it was not possible for them
to wash hands with soap and water at the
defecation place. The other reason may be
either because they were too shy to talk
about their hygiene practices or the
surveyors asked very leading questions.
C. HEALTH Disease occurrence
amongst Family Members
During the baseline, the sample households
were asked, whether any family member
suffered from any waterborne diseases in
order to assess whether the general public
health within the villages is at risk. Within 208
households, 12 cases of malaria (9 adults, 3
children), 222 cases of fever (158 adults, 66
children) and 6 cases of typhoid (5 adults and
1 child) were reported. However, during
individual focus group discussions with the
women in the camps skin infections were
reported.
0
50
100
150
200
250
BEFOREFOOD
BEFORECOOKING
BEFOREFEEDING
AFTERTOILET
207(100%)
182(87%)
82(39%)
208(100%)
HAND WASH : CRITICAL TIMES
Pag
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5.8 Households with Persons with Disabilities
Emerging Needs:
• The survey indicates that households
having disabled members are likely to
be disproportionately affected as they
have fewer resources to cope. And as
such indicates the need for better
targeting that addresses the most
vulnerable.
• The survey further shows that: 28% of
the houses belonging to families with
disabled members are fully damaged
in the floods (category 1) and 32%
have Category 2 damages.
• 55% of the respondents have
identified that their family members
with disabilities are not able to reach
and use water and sanitation facilities
with ease and safety.
• Support to a) rebuild the houses, b)
design and allocate resources for safe
and accessible water and sanitation
facilities are some of the emerging
needs for people with disabilities and
their families.
• It is acknowledged people with
disabilities face barriers in access to
other sectors – such as education,
communication, protection, and
livelihood. However, due to the scope
of the survey, it was not possible to
collect information on the needs of
people with disabilities in all sectors of
humanitarian action. Further, specific
needs of people with disabilities such
as loss of assistive devices, medication
could not be assessed
27%
21%33%
19%
Types of Disabilitiesseeing Hearing Physical Mental Health issue
Pag
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Key Recommendations
• Humanitarian Actors must take into consideration disability in targeting , as a factor
that influences access to humanitarian response . ( Water , Sanitation, Shelter, Food
, Protection , etc)
• While rebuilding houses for families with disabled members, consider the barriers
she/he may face in entering and using the house and the rooms. Consult with the
person with disability and family members and work to eliminate barriers.
• To ensure ease of reach and safety in accessing water and sanitation – identify and
work to eliminate barriers to water and sanitation facilities. Consult with the person
with disability and family members and design appropriate structures/services.
• People with disabilities may also have specific needs, such as replacement of aids or
appliances, and access to rehabilitation services , consider identifying service
providers such as District officials representing the Directorate of Social Justice in
Kerala, Disabled Peoples Organisations and NGOs working in the area on disability
and linking them to the relevant service.
Pag
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5.9 PROTECTION
A. INTRODUCTION
This report from the protection of
marginalised communities’ perspective,
presents inter-caste/class-wise analysis of
the assessment parameters, since the
community samples were not comparable
otherwise with each other. It has analysed
the data from Sphere India led
assessment in 10 districts of Kerala, namely
Alappuzha, Ernakulam, Idduki, Kottayam.
Kozhikode, Malapuram, Palakkad,
Pathanamthita, Thrissur and Wayanad.
The total number of respondents was 829,
of which this report presents multi-
sectoral findings for all major social
groups, namely the Other Backward
Classes (OBC), Scheduled Caste (SC),
Scheduled Tribes (ST) and Others
(comprising the General category).
NOTE: The category of Most Backward
Classes (MBC) as used in JDNA, is found to
be officially non-existing in the State
Government’s website. The Kerala
Government website
(www.bcdd.kerala.gov.in) identifies only
Other Backward Communities (OBC),
Other Eligible Communities (OEC), Socially
and Educationally Backward Communities
(SEBC), Scheduled Castes (SC) and
Scheduled Tribes (STs). Hence, MBC
category (13respondents) have been
merged with OBCs, and General category
(7 respondents) are merged in ‘Others’.
KEY FINDINGS
1. 25% of the households across 10
districts are women headed. Of
these, 36% of OBC, 30% of
SC,22% of ST and 18% Other
households are headed by
women.
2. The highest percentage of SC and
STs fall in low income group of Rs.
5000 and below, but their number
starts diminishing in higher
income groups
3. Of 829 respondents, only 14% are
engaged in agriculture, of which
only 6% SCs own land.
4. Majority of SCs (45%) live in semi
pucca houses and a high
percentage of 19% SCs live in
temporary huts, followed by 16%
of STs living in traditional mud
houses.
5. 70% of SCs and 81% of STs
houses suffered damages of
Category 1 and Category 2
6. SCs and STs together make up for
over 50% losses of legal papers
7. 14% of SCs and 18% of STs never
had legal papers for property
even prior to disaster
8. A high number of STs are
dependent on ponds/ canals/
river to meet water requirements,
while lesser number of STs and
Pag
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Others have piped water
connection
9. Highest number of STs (55%)
followed by OBCs (41%) and SCs
(36%) reported lack of privacy in
using latrines post floods.
10. Only 58% of ST women and
adolescent girls used sanitary
napkins, and 35% 35%) of them
used cloth post disaster post
disaster.
11. A higher proportion of SCs used
non-sanitary toilets, and majority
of ST respondents denied using
any facility, indicating to the
practice of open defecation.
12. 77% of SCs and 69% of STs
females practiced unsafe methods
of disposal of sanitary napkins.
13. 48% of STs denied the
functioning of AWW/ANMs
followed by 39% of OBCs in their
villages
14. Among the total number of
patients with
diabetes/hypertension, highest
number were reported by SCs
followed by OBCs.
15. A high number of OBCs and STs
reported unreasonably irritable
behaviour by self or family
member/s post floods
16. Highest number of STs reported
the family members were not
living together post disaster
17. Majority of SCs reported some
changes in the children post
disaster.
18. The highest number of SCs
reported lack of playing area of
children, followed by STs and
OBCs
19. 112 FIRs for missing children were
registered with the Police by 30%
of SCs and 18% of OBCs.
20. Almost all communities lacked
awareness of whom to approach
to find missing children. This
ignorance was particularly high
among STs (94%) and SCs (90%).
Pag
e43
B. MULTI-SECTORAL ANALYSIS
I. Profile of Respondents (Caste, Religion, Gender)
Of the total 829 respondents, 42% are OBCs, 13% are SCs, 10% are STs and 20% are Other
households. 30% of the total respondents are Christians, 54% are Hindus and 12% (100) are
Muslims. Majority of the Christian respondents are from OBC communities (Ref. master copy).
25% of the households across 10
districts are women headed. 36%
of OBC, 30% of SC,22% of ST and
18% Other households are headed
by women. This shows that a
significant number of marginalised
communities’ households have
female head, and likely to be
earning members also, besides caring for young and aged. Of the highest reporting women
headed households, Palakkad district accounts for 22%, Kozhikode 18% and Alappuzha for 16%
of all districts.
II. Income Range
42%
20%
13%
10%
CASTE
OBC OTHER SC ST
31%
54%
2%
12%
Christian Hindu Muslim Other
RELIGION
36%18% 30% 22%
OBC OTHERS SC ST
FEMALE HEADED HOUSEHOLDS
73%
61%80%
91%
Rs. 5000 & Below
OBC OTHER SC ST
0%
2%
4%
OBC OTHER SC ST
Rs 25000 & Above
Pag
e44
As shown in the graphs, the highest percentage of SC and STs fall in low income group of Rs.
5000 and below, but their number starts diminishing in higher income groups, to the extent of
no representation of SCs in the income range of Rs. 15001-20,000. However, SCs register an
unusual 3% presence in highest income group of 25001 and above, followed by OBCs, Others
and STs.
The data present a poor economic status, particularly of SCs and STs. Poor income has a direct
ramification on the status on housing and healthcare and other quality care and amenities the
marginalised communities can afford and prioritise.
III. Land Ownership for Agriculture
The income loss as analysed above, also directly relates with the nature of livelihood
respondents are engaged into. The analysis shows that of 829 respondents, only 14% are
engaged in agriculture, of which 85% own agricultural land. SCs have least percentage of land
ownership at 6%, while 36% of STs are seen to have land ownership followed by 12 % OBCs. A
very insignificant number of households practice lease farming. Overall, a very small percentage
of respondents are reliant on agriculture for livelihood. This insinuates that majority of
population is engaged in off-farm livelihoods.
0%
2%
4%
6%
8%
10%
12%
14%
OBC OTHER SC ST
Rs. 10001-15000
0%
5%
10%
15%
OBC OTHER SC ST
Rs. 5001-10000
14%20% 23%
40%
OBC OTHERS SC ST
ENGAGED IN AGRICULTURE
Pag
e45
NOTE: For the rest of 83% respondents and the nature of livelihood they are into, the JDNA tool
didn’t have any household level enquiries. The same were conducted through Focus Group
Discussions which did not give the caste disaggregated findings, hence no data were available
for analysis.
Of 829 respondents, only 14% are engaged in agriculture, of which 85% own agricultural land.
Of this only 6% SCs own land.
IV. TYPE Of HOUSING
The data reveal higher presence of STs and OBCs in pucca houses. Fewer SCs live in pucca
houses, whilst a high number of them live in semi-pucca houses.
19% of SCs live in temporary huts and 16% of STs live in traditional mud houses. The temporary
huts and traditional mud houses are typically fragile structures, mostly to be seen in scattered
and remote areas. Since there is a likelihood of them being built on public land/encroached
land, they may not be having the land titles, and other essential facilities, like piped water supply.
Majority of SCs (45%) live in semi pucca houses and a high percentage of 19% SCs live in
temporary huts, followed by 16% of STs living in traditional mud houses.
34%
30%21%
38%
PUCCA HOUSE
OBC OTHR SC ST
38%
59%45%
38%
Semi-PUCCA House
OBC Others SC ST
15%
7%13%
16%
TRADITIONAL/MUD
OBC OTHR SC ST
6%3%
19%
8%
TEMPORARY HUTS
OBC OTHERS SC ST
While SCs have negligible land ownership for agriculture, in the absence of other data about
how profitable agriculture is to STs, productivity of their land, inability to invest in agricultural
inputs, and indebtedness etc., it cannot be said how well agriculture is fetching them, despite
showing high land ownership. Moreover, they also maybe engaged in non-agricultural
livelihood, like fisheries and daily wage, for which disaggregated data are not available for the
analysis.
Pag
e46
V. HOUSE DAMAGE
The graphs reveal higher number of SC and ST households reported Category 1 (fully damages)
and Category 2 damages (partially damaged), while the OBCs reported higher in Category 3
damage (minor damage). Category 1 and Category 2 put together, of total 420 respondents
70% of SCs and 81% of STs suffered severe shelter damage. Category 3 (minor damage) was
reported majorly by 37% of OBCs and 34% of Others.
The categories of damage correlated with data on with the type of houses occupied by SCs
and STs in above analysis, reveals the obvious vulnerability of the communities. Since the SCs
live mainly in temporary huts and semi pucca houses, with many STs living in traditional mud
houses, majority of their houses were totally collapsed. Those with higher number of pucca
houses reported lesser damage.
VI. PROPERTY OWNERSHIP
86% of OBCs, 75% of SCs, 79% of STs and 60% of Others owned private property of the total
547respondents. 16% of STs the total 22% respondents live in rented houses as well. However,
it is not clear from the assessment what type of property the remaining 25% of SC and of 21%
of ST respondents lived in. Moreover, the data dont reveal any significant trend on property
ownership by different communities, except that the Others owned least of private property
(60%).
86%
60%75%
79%
PRIVATE OWNERSHIP
OBC OTHR SC ST
6%
4%
2%
16%
RENTING
OBC
OTHR
SC
ST
0%
10%
20%
30%
40%
50%
OBC OTHER SC ST
CATEGORY-1 DAMAGE
0%
5%
10%
15%
20%
25%
30%
35%
40%
OBC OTHER SC ST
CATEGORY-2 DAMAGE
Pag
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VII. LEGAL PAPERS LOST IN DISASTER
The proportion of SCs and STs is way higher
than other social categories, which have lost
legal documents 39% of SCs and STs
respectively, make up for over 50% (78) loss
of legal papers, of the total 152
respondents. This is likely to place on them
the burden of securing timely duplicate
copies or required documentation to claim
housing and other compensations for
damages suffered. The highest number of
losses were reported from Malapuram
district with 24% respondents followed by
18% in Wayanad.
A small percentage of 9% (73) of total
respondents never possessed property
papers prior to the disaster, of which there
were 14% of SCs and 18% of STs. They are
likely to be among the 17% (139) that have
reported to be living with the threat of
eviction, majority being 29% of SCs and
26% of STs, followed by 19% (67) OBCs.
Therefore, it can be seen that those living
amid threat of eviction and without legal
property papers, both pre and post disaster
are majorly SC and STs. This is likely to
exclude them from immediate
compensation and long term recovery
support from the Government. The
essential services are predominantly linked
with legal and authorised status of land /
property ownership of inhabitants. Shelter
safety in directly related with other forms of
security for women and children, who also
get exposed to various socio-economic
threats when already ‘illegal’ status gets
exposed and exacerbated by disasters.
There may be a possibility of SCs and STs
living on Government land also, often
categorised as ‘encroachers’, but often
traditional dwellers.
Series10%
20%
40%
OBC OTHR SC ST
18%16%
39%39%
LEGAL PAPERS LOST
9%
7%
14%
18%
LEGAL PAPERS BEFPRE FLOODS-NO
OBC OTHER SC ST
At present, the compensation is tied to the legality of the property, and not the actual loss
suffered by respondents, regardless of legal status of property/house. Such an arrangement is
likely to deprive the traditional dwellers and so called ‘encroachers’ their entitlements, for lack
of legal papers. Moreover, in the absence of legal documentation, the affected are more likely
to approach private money lender on high rate of interest to rebuild their shelters and livelihood.
This can push them into a debt trap to unending poverty.
Pag
e48
VIII. Water, Sanitation and Hygiene
(i) Type of Sanitation Pre-Disaster
Of 704 respondents to the question of sanitation pre-disaster scenario, the graphs show 90%
of respondents were using sanitary toilets (water-sealed and non-water sealed together).
However, OBCs were higher than other communities, while only 49% of STs and 50% of Others
used sanitary toilets. Of the total respondents, 7% were using non-sanitary toilets, out of which
are 20% of SCs. And, of a miniscule 3% who denied using any form of sanitation facility, 8% are
of the STs.
Therefore, data reveals that OBCs outnumber other communities in using sanitary facility. On
the other hand, STs rank lowest on usage of sanitary toilets, followed by Others and SCs.
However, even from the smaller number of responses, a higher proportion of SCs used non-
sanitary toilets, and majority of ST respondents denied using any facility, indicating to the
practice of open defecation.
(ii) Toilets Damages
19%
9%
19%
8%
OBC OTHERS SC ST
SANITARY (NON WATER-SEALED)
90%
49%
68%
41%
0%
20%
40%
60%
80%
100%
OBC OTHERS SC ST
S A N I T A R Y ( W A T E R - S E A L E D )
0%
5%
10%
15%
20%
OBC OTHERS SC ST
5% 5%
20%
7%
NON-SANITARY
2% 2%3%
8%
0%
2%
4%
6%
8%
10%
OBC OTHERS SC ST
NONE
0% 10% 20% 30% 40% 50% 60% 70% 80%
OBC
OTHERS
SC
ST
TOILETS DAMAGED
Pag
e49
47% of total respondents reported damage of toilets in the disaster. Of these, as can be seen
in the graph, maximum damages were suffered by the Others, followed by SC. Studied together
with the sanitation facility used by these communities as analysed above, it is evident that since
STs used minimal sanitation facilities, with majority of OBCs using sanitary toilets, they reported
more damage of toilets than any other community, STs reporting the least followed by SCs.
For the remaining respondents, there is no data for analysis of the nature of damage or
sanitation practices.
(iii) Type of Sanitation Post-Disaster
The graphs reveal that of the total 434 respondents, 11% respondents were using non-sanitary
toilets post disasters. Of these, SCs ranked higher than other communities in continuing he
usage of non-sanitary toilets (13% of them). The total number of respondents has also
registered a drop by 62% in comparison with 704 respondents in pre-disaster status of
sanitation enquiry.
Also, pre-disaster scenario, 129 respondents stated using sanitary (non-water sealed) toilets, the
numbers of which dropped by 40% post disaster, with the damage of 47% toilets shown above.
A total of 365 (84%) respondents stated using sanitary toilets (both water-sealed and non-water
sealed) even after the disaster. Of this only 33% of STs used sanitary toilets, followed by 46% of
SCs and 49% of OBCs. The number of respondents using ‘none’ of these sanitary facilities, are
almost the same to the number of respondents who denied using any sanitary facility even
before the disaster. Of these also, STs and SCs rank higher, indicator open defecation practice.
3%
1%
5%
6%
OBC OTHERS SC ST
NONE
0%
20%
40%
60%
80%
OBC OTHERS SC ST
SANITARY(WATER SEALED)
7%
4%
13%
7%
0% 5% 10% 15%
OBC
OTHERS
SC
ST
N O N - S A N I TA RY
7%
9% 9%
6%
OBC OTHERS SC ST
SANITARY (NON-WATER SEALED)
Pag
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(iv) Menstrual Practices Post Disaster
When it comes to attending to essential menstrual hygiene requirements, of the 502 respondents,
76% reported using sanitary napkins, and 24% used cloth post disaster. A minority (58%) of ST
women and adolescent girls used sanitary napkins post disaster. Besides, a higher number of (35%)
ST women and adolescent girls used cloth post disaster.
NOTE- In the absence of data on pre-disaster menstruation practice, the post disaster practices
cannot be compared with the general practice among communities with certainty. Access to sanitary
napkins may also been restricted due to reduced affordability, availability and accessibility together
with attitudinal factors. However, from the available data, it can be stated that SCs had higher access
and behavioural inclination toward sanitary napkin, together with OBCs, in normal times as well as
disaster.
(v) Disposal of Sanitary Napkin
Menstrual hygiene traditionally has been more an issue of embarrassment and unease for women
than a major reproductive and psychosocial health concern for the families in India. Therefore, many
34%
36%
50%
34%
0% 20% 40% 60%
OBC
OTHERS
SC
ST
HEAP OF SOLID WASTE OR HOUSEHOLD WASTE IN THE SURROUNDING
O B C O T H E R S S C S T
31% 28% 27% 47%
W A T ER A N D D A M P M A R S H I N V I L L A G E S U R R O U N D I N G
0% 2% 4% 6% 8% 10% 12% 14% 16% 18%
B U R N E D T H E N A P K I N
ST SC OTHERS OBC
OBC
OTHERS
SC
ST
0% 100% 200% 300% 400%
SANITARY NAPKINS USED POST FLOODS
0% 10% 20% 30% 40%
OBC
OTHERS
SC
ST
CLOTH USED -POST DISASTER
Pag
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still choose to dispose the napkins in ways that will be risky and unhygienic than safe and
publicly known. Of 612 female respondents, and equal number of responses were received on
disposal of sanitary napkins by discarding it into the heap of solid waste or household waste in
the surrounding and water and damp marsh in village surrounding. Together, 77% of SCs and
69% of STs females practiced these two forms of disposal prominently. Of a small number of
respondents (92), higher number of Others and SCs reported to burning of the napkin as
disposal practice.
While deep burying of soiled napkin in the pit, or even burning of it into a pit and covering it
with waste is an acceptable disposal practice in disasters, simply throwing it into the open
garbage dump or burning in open air has environment and health issues. In the case of the
former, the napkin will get exposed to the surroundings with water bodies and sources, and
animals may also dig them off, carrying and scattering the soiled napkin around. Therefore, it
appears that most respondents weren’t aware of safe disposal practices of sanitary napkins.
IX. SOURCE OF WATER POST DISASTER
As shown in the graphs, the main sources of water on which the respondents are dependent
post floods are piped water system and dug wells. Lesser number of OBCs, SCs and STs depend
on dug wells, while a majority of OBCs have piped water connection to their households. A high
number of STs (15%) are reported dependence on ponds/ canals/ river. STs and Others have
lesser number of piped water connection, as compared with OBCs and SCs. STs and Others
also show high dependence on tube wells. By contrast, the piped water system, which is
provisioned by State Water Board directly to the (authorised) households/colonies, are fewer in
45%
22%
38%
26%
PIPED WATER SYSTEM
OBC OTHER SC ST
27%
53%39%
34%
DUG WELLS
OBC OTHER SC ST
7%
7%
4%
6%
TUBE WELLS
OBC OTHER SC ST
2%0%
4%
15%
PONDS/RIVER/CANAL
OBC OTHR SC ST
Pag
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ST and Other households, which generally has a better coverage in Kerala. Highest
dependence on piped water is seen in Ernakulum district among OBCs (21%).
Whilst STs reported highest dependence on ponds/river/canals, and SCs showed highest
dependence on dug wells. Dependence on dug wells is seen to be higher in Idduki district (18%
of 252) among Others.
NOTE- The lack of information on pre-disaster water source didn’t allow a comparison with post
disaster water source data, which could have revealed the loss suffered by each community.
X. PRIVACY IN USING LATRINES FOR WOMEN AND GIRLS POST DISASTER
With the disasters, privacy of women and girls in general, and safety at using toilets and bathing
gets hugely compromised. Highest number of STs (55%) followed by OBCs (41%) and SCs (36%)
reported lack of privacy in using latrines post floods.
Of the total number of reports on lack of privacy, majority were received from Malapuram
district (26%), as the district also accounts for nearly 50% of ST population of the JDNA.
NOTE- Regarding privacy for bathing, only 68 respondents from Ernakulum alone attended to
the question, hence excluded from analysis.
XI. STATUS OF ANGANWADI SERVICES POST FLOOD
The graphs reveal that Anganwadi centres and Auxiliary Nurse Midwife services had not
resumed predominantly in ST concentrated areas. Of the 248 respondents, 48% of STs denied
the functioning of AWW/ANMs followed by 39% of OBCs. Most of the reports on non-
functioning ANW/ANMs came from Malapuram (26%) and Palakkad (25%) districts.
0% 10% 20% 30% 40% 50% 60%
OBC
OTHERS
SC
ST
NO PRIVACY IN USING LATRINES
0%
10%
20%
30%
40%
50%
60%
OBC OTHERS SC ST
STATUS OF ANGANWADI /ANM SERVICES
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Of the total respondents, the assessment covered 58 pregnant and lactating women. 59% are
OBCs, 19% are SCs; 12% are Others and 10% are STs. AWW and ANM services are essential
community based nutrition and healthcare services for pregnant and lactating women, and 0-
6 years’ children for pre-primary education.
XII. DIFFICULTY WITH SEEING AND HEARING
25% of OBCs, 30% of Others, 18% of SCs and 13% of STs reported some difficulty with seeing
of the total 172 respondents. Of these, Kozhikode reported highest number of cases (20%),
followed by 16% from Malapuram and Palakkad, respectively. However, 12% of STs and 9% of
Others reported a lot of difficulty in seeing. Of the total 84 respondents, 14% OBC, 13% are SCs,
and 11% are STs reported difficulty of varying degrees in hearing (some difficulty, a lot of
difficulty and can’t do at all).
158 respondents reported trouble with walking or climbing of the total 829 respondents.
Here, the graph shows that higher number (29%) of SCs faced difficulty in walking or climbing,
followed by 25% OBCs respondents. This is indicative of poor physical conditions, which would
0%
5%
10%
15%
20%
25%
30%
35%
OBC OTHERS SC ST
DIFFICULTY IN WALKING OR CLIMBING
25%30%
18%13%
OBC OTHER SC ST
SEEING-SOME DIFFICULTY
5%
9%8%
12%
0%
5%
10%
15%
OBC OTHER SC ST
SEEING-LOT OF DIFFICULTY
The longer the delay in functionalising the Anganwadis, greater is the pressure on families to meet the specific health and nutrition requirements of pregnant and lactating women in ante natal and post-natal care, and 0-6 years’ children. Moreover, with destroyed livelihoods, such requirements get either de-prioritised or inadequately addressed.
Pag
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have created difficulty for them to be moved to safer places when the disaster struck, exposing
their lives to grave danger.
However, in the absence of age or medical information respondents, the difficulty in seeing,
hearing and walking or climbing cannot be attributed to old age with certainty though this
could be indicative of age related ailments.
This also calls for placing rescue equipment/boats etc. within the community that have a
substantial number of young and aged members, for whom mobility becomes an issue in
disasters.
XIII. PSYCHOSOCIAL HEALTH
Of the total 829 respondents, 64% (533) reported different levels and kinds of physical and
psycho-social health-related issues, like, illnesses, difficulty in performing daily tasks,
disorientation and irritability among family members, while some were already suffering with
diabetes and hypertension.
As shown in the graphs, a high number of illnesses were reported by OBCs (20%) and STs (16%),
of the 112 respondents. 23% cases of illnesses were reported from Kozhikode alone. 21% of
diabetic/hypertension patients were reported from Kozhikode, followed by 17% from Wayanad
and (17%) Kottayam, of the 169 total respondents.
20%
9%
12%
16%
0%
5%
10%
15%
20%
25%
OBC OTHERS SC ST
ILLNESS AFTER DISASTER
25%
21%26%
24%
DIABETES/HYPERTENSION
OBC OTHERS SC ST
23%
12%14%
20%
DIFFICULTY IN PERFORMING DAILY TASKS
OBC OTHERS SC ST
14%
0.12%4%
19%
IRRITABLE BEHAVIOUR POST DISASTER
OBC OTHERS SC ST
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Among the total number of patients with diabetes/hypertension, highest number were reported
by SCs followed by OBCs. Of the 72 respondents, most number of OBCs and STs reported
unreasonably irritable behaviour by self or family member/s post floods. This reveal the health
conditions of marginalised communities, and in particular the SCs and STs, warranting the
urgent need for psychosocial care and accompaniment support to overcome the
psychosomatic stress, in order to recover emotionally as well.
XIV. Health Services Affected
Health Services
Affected Due to
Floods
Alap
puzh
a
Eran
akula
m
Kott
aya
m
Kozh
ikod
e
Mala
ppura
m
Pala
kka
d
Pathan
amthitt
a
Thr
issu
r
Wa
yan
ad
Gran
d
Total
Routine
Immunisation 57 12 17 52 86 48 34 8 47 361
Normal Delivery 2 21 3 13 7 12 3 26 16 103
ANC/PNC 8 0 14 9 4 10 2 5 6 58
VHSND 1 5 1 1 0 2 10
Any other
reason 18 3 38 12 9 24 1 6 17 128
A range of regular public healthcare services were affected by floods, as the table above shows,
across districts. This would have possibly affected the access and availability of primary
healthcare services and medications to people reporting illness and hypertension post floods.
XV. PROTECTION
As depicted in the graphs, highest number of STs reported the family members were not living
together post disaster (of 106 respondents). 40% of the reports hailed from Malapuram district
15%
9%
14%
27%
OBC OTHERS SC ST
ALL FAMILIES LIVING TOGETHER-POST FLOODS-NO
0%
2%
4%
6%
8%
10%
12%
OBC OTHERS SC ST
Changes in Children Post Disaster
Besides, the entitlements declared by the Government, as immediate relief of Rs. 10,000 was
to be given only for those that were registered at relief camp, leaving out others who didn’t live
in Govt relief camps and took shelter elsewhere. This finding on separated family members,
though doesn’t clearly answer where they would have gone if not relief camps, would have a
possibility of excluding survivors not living in relief camps from immediate support provision of
Government and calls for further study of such populations in given scenario.
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alone. It is likely the family members, especially children were sent to the relatives’ places.
However, this led to temporary separation of children from their families.
Of the 42 respondents, majority of SC
reported some changes in the children post
disaster. Also, highest number of SCs
reported lack of playing area of children,
followed by STs and OBCs of total 474
respondents.
As per the data, 112 FIRs for missing children
were registered with the Police, by 30% of
SCs and 18% of OBCs. However, the data
revealed that of 576 respondents, almost all
communities lacked awareness on whom to
approach for support to find missing
children. This ignorance was particularly
high among STs (94%) and SCs (90%).
These findings together reveal the high
vulnerability of children from marginalised
communities, especially SCs and STs. The
high number of FIRs by SCs also speaks
volumes for the fragile environment that
resulted in such high number of missing
children. The temporary separation from
families, triggered by this scale of disaster
was likely to have repercussions on
children’s wellbeing. And a lack of playing
area for those in relief camps and post flood
has deprived them of a space to vent out
their suppressed traumatic experience with
their peers.
CONCLUSION
The assessment covered a very small
number of SCs and STs, while majority were
OBCs. It was through the inter-community
data analysis that the underlying
vulnerabilities and socio-economic fragility
could be compared across the social
groups. While all suffered grave losses and
damages, the data available revealed how
SCs and STs in particular, have been worst
hit on several parameters. The assessment
misses out majorly on livelihood analysis.
Had the household level data been
collected on it, or disaggregated analysis of
FGDs conducted, it would have allowed a
holistic analysis of livelihood fragility and
recommendations, thereof. However, the
assessment does expose the underbelly of
grater damages and losses to SC and ST
communities by revealing their income and
housing patterns prominently. The findings
direct the attention toward the recovery
and rebuilding of lives of marginalised
communities through equity based
compensation and recovery measures in
different phases by Government and
Humanitarian organisations.
OBC22%
OTHERS23%
SC29%
ST 26%
AVAILABILITY OF PLAYING AREA
85%
63%
90%
94%
Awareness on reporting missing children's cases
OBC OTHERS SC ST
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C. RECOMMENDATIONS
1. Ensue equity based compensation and recovery aid to the poorest who have lost the
precious little, and may not be able to produce required proofs of the losses
2. Delink compensation of housing and other substantial losses of the marginalised
communities from legal documentation and cover all actual losses and damages for
compensations
3. Ensure that Include non-agricultural communities forming labour force, and those in
petty private businesses under State’s disaster compensation norms
4. Provision special assistance to children of the marginalised communities for
psychosocial counselling
5. Integrate awareness campaigns on menstrual hygiene and safe practices, and child
safeguarding among communities in the recovery programmes
6. Provision sanitary toilets and behaviour change communication in recovery
programmes through linkages with Swacch Bharat Abhiyan for all the affected
communities irrespective of availability of legal documentation of the property.
7. Provision safe hazard resilient housing to all affected communities by linking it up with
state/national housing scheme of the Government, priotising SC, ST, OBC, women
headed, old age and widow households
8. Provision free bus passes for children studying in public schools until the families recover
from the losses
9. Provide compensation /livelihood support package for daily wages and petty income
generation business owners until they secure regular livelihood options.
10. Provide free mobile healthcare assistance in age appropriate manner to all survivors
with chronic diseases and the age-related illnesses and care until public health services
have resumed at all levels.
11. Ensure timely release of social security pensions to widows, elderly, unemployed to
support their basic survival needs.
12. Provision disinfecting all water-sources on immediate basis, and mobile community
toilets till the damages ones have been reconstructed
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JOINT DETAILED NEEDS ASSESSMENT-KERALA FLOODS 2018
IDUKKI AND ALAPPUZHA DISTRICTS
Prepared by: Caritas India, National Dalit Watch-NCDHR and RIGHTS
B. INTRODUCTION
This report from the protection of marginalized communities’ perspective, presents inter-
caste/class-wise analysis of the assessment parameters for samples from Idukki and Alappuzha
Districts. The sample consisted of The total number of respondents was 253, of which this report
presents multi-sectoral findings for all major social groups, namely the Other Backward Classes
(OBC), Scheduled Caste (SC), Scheduled Tribes (ST) and the General Communities. The following
is the community-wise distribution of the respondents across the Gram Panchayats selected for
the assessment:
Alappuzha No. and % of respondents
Gram Panchayats OBC SC ST General Total
Edathua 5(19.23%) 20(20.20%) 0 27(77.14%) 52(31.32%)
Pandanad 0 22(22.22%) 0 1(2.85%) 29(17.46%)
Ramankari 21(80.76%) 28(28.28%) 6(100%) 6(17.14%) 55(33.13%)
Thakazhy 0 29(29.29%) 0 1(2.85%) 30(18.07%)
26(100%) 99(100%) 6(100%) 35(100%) 166 (100%)
Idukki No. and % of respondents
Gram Panchayats OBC SC ST General Total
Adimali 9(23.68%) 0 0 0 9(10.34%)
Kanjikuzhy 16(42.10%) 9(25%) 0 0 25(28.73%)
Konnathadi 0 12(75%) 13(86.66%) 4(30.76%) 29(33.33%)
vellathooval 13(34.21%) 0 2(13.33%) 9(69.23%) 24(27.58%)
38(100%) 21(100%) 15(100%) 13(100%) 87 (100%)
KEY FINDINGS OF THE JDNA – IDUKKI AND ALAPPUZHA
1. All the disaster affected communities (SC, ST, OBC, General) were in the poorest income
categories – below Rs.5000 per month before the floods; but after floods even the small
Pag
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section from ST, OBC and General communities who were better off were pushed down into
the less than Rs. 5000 income category.
2. The Floods and landslides accelerated the process of casualization of labour. While in the OBC
and general communities there is more diversification of occupations, the affected
households from the SC and ST communities are left with only casual labour, especially in a
situation where agriculture also has come to a standstill in the affected areas of these districts.
Hence there could be large scale distress migration for survival.
3. The SC and ST communities have lost their agricultural crops and
4. Sanitation is a major concern for all communities in all the areas studied. But the situation of
SC and ST communities is more serious as they are dependent on damaged and temporary
built up sanitation facilities as of now. The vast majority of them have been unable to even
start restoring sanitation facilities at all.
5. The non-affordability of building material, tools and labour have been cited as the main reason
why the SC and ST communities in both districts have been unable to restore their sanitation
facilities even after a month of the disaster.
6. Privacy in toilet and bath for women and adolescent girls from the SC community has been
seriously compromised in Alappuzha District due to the damage done to toilets during the
disaster.
7. The SC and ST communities have been pushed into an unprecedented crisis due to the
widespread destruction of their source of water supply – be it dug wells or piped water supply.
The restoration of the water sources is costly and hence there needs to be institutional
support provided by government and agencies for the same.
8. The proportion of (physically, mentally, visually) disabled persons in the SC community is very
high in comparison with other communities. This definitely slows down the pace of recovery
unless there is a targeted intervention that is sensitive to the intersectionality of caste and
disability.
9. Damage to housing also has been maximum among the SC and ST communities, with the
majority of them who had been dwelling in Semi-pucca houses and traditional mud-huts. It
would be imperative to provide financial support for building material and labour costs to
restore housing at the earliest.
10. The SC and ST communities were primarily dependent on farming in their small plot of lands
and on daily wage labour. Following the disaster they lost their agricultural crops completely,
and also have been deprived of wage labour as agriculture would resume only after the debris
and silt are cleared by the next season.
11. With existing livelihood options having collapsed there is an aspiration among SC and ST
communities to take up alternative livelihood options. Borrowing at high interest rates from
financiers, although cited only by about one-third of the SC respondents in Alappuzha district,
it is a distinct possibility during distress. Data on money borrowing shows over two-thirds of
the SC respondents in Alappuzha having taken loans from local money lenders. It would be
important to track the livelihood options being chosen and the quantum of borrowings to
ensure that the most vulnerable SC and ST communities do not fall into a vicious circle of debt.
12. Majority of small respondents reared small livestock, of which most casualties were reported
from Alappuzha, that too of the chicken and ducks in higher numbers. This data lends an
insight into the kind of livestock afforded by the respondents, very few having cows, buffaloes
and pigs. Compensation policies and schemes would have to take this into account.
ANALYSIS OF DATA
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PROFILE OF RESPONDENTS: (CASTE, RELIGION, GENDER)
Of the total 252 respondents, 25% are OBCs, 47.61% are SCs, 8.33% are STs and 19.04% are from
the general community. 28% of the total respondents are Christians, 58% are Hindus and 2% are
Muslims while the General community forms 1% of the total respondents.
INCOME CATEGORIES
As shown in the table for Idukki District, pre-disaster itself, the highest percentage of SC (100%)
and STs (86.67%) fall in low income group of Rs. 5000 and below, along with 65.78% of the OBCs
and 46.35% of the General communities. But the number of SC, ST and OBC starts diminishing in
higher income groups, to the extent of no representation of SCs in the income range of Rs. 5001-
10,000, with just 13.33% of STs.
Sr. No Income Income Categories- Community-wise: Idukki
Before the Disaster After the Disaster
Categories OBC SC ST
General OBC SC ST General
0.00%
20.00%
40.00%
60.00%
80.00%
OBC ScheduledCaste
ScheduledTribe
General
Distribution by Caste
Percentage. of HH Idukki
Percentage. of HH Alappuzha
Percentage. of HH Total
Table: Distribution by Religion
Sr. No.
Religion Idukki Alleppey Total
1 Hindu 49% 63% 58%
2 Muslim 13% 2% 5.95%
3 Christian 36% 28% 30.95%
4 General 1% 6% 4.36%
N=86 N=166 N=252
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1 Below 3000 INR
25(65.78%)
3(14.28%) 0 0
25(65.78%)
21(100%)
13(86.67%)
11(84.61%)
2 3,000 - 5,000 INR 0
18(85.71%)
13(86.67%)
6(46.35%)
10(26.31%)
2(13.33%)
2(15.38%)
3
5,001 - 10,000 INR
10(26.31%)
2(13.33%)
7(53.84%) 0 0
4
Above 10,000 INR 3(7.89%) 0 0 0 3(7.89%) 0
The vulnerability of all the communities in Idukki, particularly SC and ST communities is starkly visible
in the figures representing the income after the disaster. The percentages of SC and ST communities
remain the same for the same (less than INR 3000) category; while we can see the OBCs (26.31%) and
general communities also pushed one rung down into the lower income category of Rs. 3000-Rs. 5000.
Sr. No
Income Categories- Community-wise: Alappuzha
Before the Disaster After the Disaster
OBC SC ST General OBC SC ST General
1
Below 3000 INR
11(42.3%)
50(50.50%)
6(100%) 7(20%)
25(96.15)
16(16.16%)
6(100%) 1(2.85%)
2
3,000 - 5,000 INR
15(57.7%)
32(32.32%) 0
24(68.57%)
1(3.84%)
72(72.72%) 0
32(91.42%)
3
5,000 - 10,000 INR 0
11(11.11%) 0 4(11.42%) 0 7(7.07%) 0 2(5.71%)
4
10,000 above INR 0 1(1.01%) 0 0 0 1(1.01%) 0 0
The trend is similar in Alappuzha district too. 82.82% of the SC communities were already in the 2
income categories of less than 5000 INR. This has now expanded to 88.88%. All the STs (100%) remain
in the less than INR 3000 category pre and post disaster. The OBCs (57.7%) in the INR 3000-INR5 5000
category have been pushed down to the below INR 3000 category enhancing the percentage from
42.3% to 96.15%. In the general communities too, a swell in the INR 3001-INR 5000 category is seen.
Means of Income of Households – Before and after the disaster
The table below indicates a pattern of displacement from the core livelihood engagements. In Idukki
47.61% of SCs reported to be in Farming before the disaster. Post-disaster none of them are into that
occupation. Similarly SCs are seen to be completely displaced from other occupations such as livestock
(4.76%), business (4.76%) and small trade (19.04%) too. The entire set of SC respondents have become
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casual daily wage labour and agricultural wage labour. This is manifested in the expansion of the
percentage (19.04%) of the before disaster daily wage labourers both casual and agricultural to 100%.
ST respondents were daily wage labourers before floods and continue to be wage labour-casual or
agricultural, after the floods too.
In the OBCs a different trend of diversification for survival seems to be indicated. Pre-disaster they
were pre-dominantly into farming (67.56%); while post-disaster they are seen as having been reduced
to 13.51%, but now visible in other sectors where they were not significantly present earlier. Only
2.70% of OBC respondents were daily wage labourers before the disaster; now it has become 29.72%.
The general category also were daily wage labour before the disaster, and now continue to be in both
casual (69.23%) and agricultural labour (23.07%), with 7.69% of them becoming fully dependent with
no means of income.
Idukki: Means of Income - Before the Disaster
Idukki: Means of Income - After the Disaster
OBC SC ST General OBC SC ST
General
1 Farming 25(67.56%)
10(47.61%) 0
5(13.51%) 0
2 Livestock 1(4.76%) 0
4(10.81%) 0
3 Fishing 0 1(2.70%) 0
4 Business 1(4.76%) 0
1(2.70%) 0
5 Small trade
4(19.04%) 0
2(5.40%) 0
7 Private Service 0 0 0 0 0
8 Government Job
1(4.76%) 0
1(2.70%) 0
9 Day laborer
1(2.70%)
4(19.04%)
15(100%)
13(100%)
11(29.72%)
21(100%)
13(86.66%) 9(69.23%)
10
Fully dependent
1(2.70%) 0 0 1(7.69%)
11
Agricultural labour
9(24.32%) 0
10(27.02%)
2(13.33%) 3(23.07%)
12
Van/rickshaw puller 0
1(2.70%) 0
13 Other
2(5.40%) 0
2(5.40%) 0
In Alappuzha the SC respondents continue to be in the wage labour + agriculture labour category -
83.83% before disaster and 74.74% after disaster. SC respondents (9.09%) who used to pull/drive
loading vehicles are no longer in that occupation, with only 1.01% left. Of great concern is that the
number of fully dependent SC respondents has increased from 0% to 11.11%.
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Equally shocking is the fact that 83.83% of the ST respondents who were engaged before the floods in
“Other” (miscellaneous) occupations are not in it anymore; they are unable to specify any means of
income following the disaster.
Alappuzha: Means of Income
Before the Disaster Alappuzha: Means of Income
After the Disaster
OBC SC ST General OBC SC ST General
1 Farming 0 0 0 0 4(11.42%)
2 Livestock
1(1.01%) 0 0 0 1 0 0
3 Fishing 0 0 0 0 0
4 Business
0 0 0 0 0
5 Small trade
0 0 0 0 0
7 Private Service
3(3.03%) 0 0 0 1(1.01%) 0 0
8
Government Job
0 0 0 0 0
9 Day laborer
26(100
%)
76(76.76
%)
1(16.66)
%
16(45.71
%)
21(80.76
%)
72(72.72
%) 0
13(37.14
%)
10
Fully dependent
0 1(1.01%) 0 0
11(11.11
%) 0 0
11
Agricultural labour
0 7(7.07%) 1(2.85%) 0 2(2.02%) 0 1(2.85%)
12
Van/rickshaw puller
0 9(9.09%) 0 0 1(1.01%) 0 0
13 Other 0 1(1.01%)
5(83.83%
) 1(2.85%) 0 1(1.01%) 0 6(17.14%)
Note: In Alappuzha there have been some non-responses from all communities to this question. Hence
we should only see the general trends, and not the exact figures that add up
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SANITATION – BEFORE AND AFTER DISASTER
Before Disaster
Idukki Alappuzha
Sr. No
Are there toilets
OBC SC ST General OBC SC ST General
1 Yes 84% 100% 100% 100% 65% 70% 100% 79%
2 No 16.21% 0% 0% 0% 35% 30% 0% 21%
All respondents (100%) from the SC and ST communities in Idukki had sanitation facilities before the
floods. But with the toilets getting damaged or fully destroyed during floods all the SC respondents
and 67% of ST respondents are using damaged toilets. The general communities of Idukki also had
100% sanitation before disaster; but now 38.46% defecate in the open while 38.46% use temporary
built-up toilets and 23.07% use “Other” means. 84% of the OBCs had sanitation facilities before the
disaster, but now 64.86% of them use damaged toilets and 35.13% use “Other” means.
Sanitation condition after disaster – The type of facility being used
Sr. No. Type of Toilet
facility Idukki District (No & % of HH)
Alappuzha District (No & % of HH)
OBC SC ST General OBC SC ST General
1 Damaged Toilet 64.86% 100% 67% 0% 35% 66% 0% 21%
2 Temporary Built-
up 0% 0% 20% 38.46% 0% 18% 0% 0%
3 Open Defecation 0% 0% 0%% 38.46% 0% 16% 100% 18%
4 Other 35.13% 0% 13% 23.07% 65.38% 0% 0% 62%
In Idukki, 100% of the SC respondents and 87% of the STs are using damaged or temporary built up
toilets. In Alappuzha district, of all the respondents, 70% of SCs, 100% of the STs, 65% of the OBCs and
79% of the general communities had sanitation facilities. After the disaster 66% of the SCs and 35% of
the OBCs have had to make to with damaged toilets while 18% of the SCs are using temporarily built-
up toilets and 16% of SCs are managing with open defecation. Of all the General community
respondents 21% are using damaged toilets while 18% are making do with open defecation. But a
substantial number of them (62%) are using “other” means.
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Restoration of toilets
Restoration of Sanitation Facility
Sr. No.
Restoration Status
Idukki District (No & % of HH) Alappuzha District (No
& % of HH)
OBC SC ST General OBC SC ST General Total
1 Yes 35.13% 0% 46.66% 100% 50% 0% 0%
2 No 59.59% 100% 53.33% 0 15% 92% 100% 79%
3 Not Applicable
35% 8% 0% 21%
It is clear that a significant percent viz. of the respondents – 59.59% of the OBCs, 53.33% of the STs,
100% of the SCs, from Idukki District have not been able to restore their sanitation facilities. Likewise,
In Alappuzha district 92% of the SC respondents and 100% of the ST respondents have not restored
their sanitation facilities. OBCs are better off with only 15% not having restored.
Factors hindering restoration of toilets
Non-affordability of materials/tools as well as skill/labour have been cited as the most frequently cited
reasons for not restoring sanitation facilities. In Idukki district, while 100% of the SCs have cited non-
affordability of materials and tools, 93.33% of the STs have cited the non-affordability of skill and
labour. In Alappuzha district too, 79.79% of the SCs and 66.66% of the STs have cited non-affordability
of materials/tools as the main reason for being unable to restore sanitation facility. For 51.35% of the
OBCs in Idukki district the reason of non-restoration of toilets has been the scarcity of materials and
tools for restoration; but in Alappuzha 61.53% of the OBC respondents, have stated grievances
regarding land is the most frequently cited reason for non-restoration of their damaged toilet.
Table: Factors hindering restoration of toilets
Sr.
Problems
No of HH
No Idukki District (No & % of HH) Alappuzha District (No & % of HH)
OBC SC ST General OBC SC ST General
1 Materials/tools for repair are not available
51.35% 0% 0% 0% 3.84% 20.20% 0% 0%
2 Materials/tools for repair are not -affordable
13.51% 100% 6.66% 0% 0% 79.79% 66.66% 0%
3 Skill/labour for repair not available-3
0.00% 0% 0% 0% 0% 0% 33.33% 5.71%
4
Skill/labour for repair not affordable (not enough money)-4
29.72% 0% 93.33%% 100% 0% 0% 0% 54.28%
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5 No access to skill/labour/market-5
0% 0% 0% 0% 0% 0% 0% 8.57%
6 There are potential grievances on land issues
5.40% 0% 0% 0% 61.53% 0% 0% 11.42%
PRIVACY AVAILABLE TO WOMEN AND ADOLESCENT GIRLS
Privacy to use latrine : Women and Adolescent Girls Sr. No
Status
Idukki Allappuzha Total
OBC SC ST General OBC
SC ST General
1 Yes 30(81.08%)
21(100%)
15(100%)
13(100%)
12 19(19.19%)
3(50%)
11(31.42%)
124(49.3%)
2 No 7(18.91%)
0% 0% 0% 18 73(73.73%)
3(50%)
19(37.14%)
120(47.61%)
The geographic features of Idukki and households situated at a distance from each other seems to be
the reason that despite the latrines having been damaged to a great extent privacy is not a great issue
here. 81.08% of the OBCs, 100% of SC, ST and General Community respondents from Idukki have
mentioned that women and girls have enough privacy.
However this is not the case in the thickly populated Alappuzha region. 73.73% of the SCs and 50% of
the STs, 37.74% of the general communities have complained of privacy not being available for women
and girls.
DRINKING WATER
Idukki: Drinking Water Sr. No Source Before Disaster After Disaster
OBC SC ST
GENERAL OBC SC ST
GENERAL
1 Tube wells 12(32.43%) 0% 0% 0%
5(13.51%) 0% 0% 0%
2 Dug wells 13(35.13%)
16(76.19%) 0% 0%
14(37.83%) 0% 0% 0%
3 Pond Sand
Filter 0% 4(19.04%) 0% 0%
1(2.70%) 0% 0% 0%
4 rain water /harvesting 0% 0% 0% 0%
1(2.70%) 0% 0% 0%
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5 Pipe water
system 0 1(4.76%)
13(86.66%)
8(61.63%)
4(10.81%)
21(100%) 3(20%) 0%
6 Ponds/
River/Canals 11(29.72%) 0%
2(13.33%)
5(38.46%) 0
10(66.66%)
10(76.92%)
7 Government 0% 0% 0% 0% 0% 0% 0% 0%
8 ngo 0% 0% 0% 0% 0% 0% 0% 0%
9 Others 1(2.70%) 13(35.13%)
2(13.33%)
3(23.07%)
In Idukki district before the disaster a major number of SC respondents (76.19%) were using dug wells
as water source; and 19.04% of them used pond sand filters. Following the disaster they have lost all
those sources, and are currently dependent on external water supply.
OBC respondents had a wider variety of water sources with 32.43% of them using tube wells, 35.13 %
using dug wells and 29.72% using canal/river water. Except for dug wells (we see a marginal increase
from 35.13% to 37.83% in the OBCs using them) the other sources have depleted due to destruction.
The general community respondents of which 86.66% piped water supply now depend mostly on
ponds/canals/rivers presumably due to the sources such as public tube wells or dug wells getting
destroyed in floods and landslides. It is a cause for concern that none have mentioned Government
or NGOs as sources of drinking water. Only 35.13% OBCs and 23.07% general community respondents
have mentioned “other” sources of water (presumably private or commercial sources to buy from).
The ST community respondents (86.66%) were predominantly dependent on public piped water
supply system, but 13.33% use water from canals/rivers. After disaster we see that only 20% of them
are able to use piped water system, which indicate the destruction of the public source of the piped
water supply system. It is to be noted that a majority of the SCs are now dependent on ponds/rivers/
canals for their potable water supply. This could have public health implications if not handled
carefully.
Alappuzha: Drinking Water Sr. No Source
Before Disaster After Disaster
OBC SC ST General OBC SC ST General
1 Tube wells 9(34.6
1%) 2(2.02%
) 7(20%)
2 Dug wells 28(28.2
8%) 1(3.84
%)
3 pond sand filter
4 rain water 2(2.02%
)
5 pipe water system
67(67.6%)
6(100%)
25(71.42%)
8(30.76%)
50(50.50%)
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6 pond/river/canal
3(11.53%)
3(8.57%)
7(7.07%)
7 Government
42(42.4
2%) 6(100
%) 19(54.2
8%)
8 NGO
5(14.28
%)
9 Others 14(53.84%) 17(65.38%)
4(11.42%)
Before the disaster the OBCs and General communities in Alappuzha had a higher number of tube
wells as drinking water sources (34.61% and 53.84% respectively). Following the disaster we find that
the OBCs (65.38% of them) have increased their dependence on “other” sources, presumably buying
private/commercial sources or relying on neighbours and relatives.
The SCs (67.6% of them), 100% of the STs and 71.42% of the general community respondents
depended on piped water supply system. Following the floods/landslides there has been a reduction
in the SCs depending on piped water (now 50.50%) and those who were dependent on dug wells now
were dependent on Government supply through tankers etc. We see that 42.42% of the SCs are now
dependent on Government supply. The entire (100%) ST respondents too are dependent on the
government supply.
The general community respondents having lost their piped water supply systems is mainly dependent
(54.28% of them) on government supply. Interestingly, only the general communities (11.42%) are
obtaining water from NGO sources. 11.42% of them are tapping “other” sources too.
DISABILITY
In the SC community we find a disproportionately high percentage of disabled persons – 25% with
physical disability, 15% with mental disability and 10% visually challenged. On the whole we find
48.33% of disabled persons in the SC community, while it is only 10.64% in the general communities,
4.76% in the ST communities and 18.75% in the OBC communities.
Type of Disability
General No. (%)
SC No. (%)
ST No. (%)
OBC No. (%)
Total No. (%)
Physical Disability 2(4.25%)
30(25%)
1(4.76%)
11(17.18%)
44(17.46%)
Mental Disability 2(4.25%)
18(15%) 0 0
20(7.93%)
Visually Challenged 1(2.12%)
10(8.33%) 0
1(1.56%)
12(4.76%)
Total number and % of respondents with disability
5(10.
64%)
58(48
.33)
1(4.7
6%)
12(18
.75%)
76(30
.16)
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Total number of respondents in each community 47(100%)
120(100%)
21(100%)
64(100%)
252(100%)
Percentage of all disabled in each community to the total number (76) of disabled across communities
6.58%
76.32%
1.32%
15.79% 100%
When we compute the percentage of disabled in each community to the total number of disabled
across communities, the picture is bleaker. The percentage of disabled SCs (76.32%) is alarmingly
higher than any other community – general communities (6.58%), ST (1.32%) and OBCs (15.79%).
HOUSING
The housing profile of the respondents from both the districts show that the majority of them
(92.47%) live in semi-pucca houses, traditional mud huts or temporary huts. Only 7.53% of all the
respondents live in pucca houses. 100% of the SC and 86.66% of the ST respondents In Idukki, and
74.74% of SC respondents in Alappuzha district live in Semi Pucca houses and traditional mud huts
while 13.33% of the ST respondents in Idukki district and 33.33% STs in Alappuzha live in traditional
mud-huts.
45.94% OBC respondents in Idukki live in temporary huts, and 34.61% of OBCs in Alappuzha and
42.25% of the General Community respondents live in semi-pucca houses.
Sr. No
Type
Number and % of HH (District Wise)
Total
Idukki Alappuzha
OBC
SC ST GENERAL OBC OBC SC ST GENERAL
1 Pucca 9(24.32%) 0% 0% 0% 7(7.07%) 3(8.57%) 19(7.53%)
2 Semi Pucca
17(45.94%)
21(100%)
13(86.66%)
12(92.30%)
9(34.61%)
42(42.42%)
15(42.25%)
129(51.19%)
3 Traditional / Mud
1(2.70%) 0% 2(13.33%) 1(7.69%) 8(30.78%)
32(32.32%)
14(40%) 59(23.41%)
4 Temporary / Hut
11(29.72%)
0% 0% 0% 9(34.61%)
9(9.09%) 2(33.33%)
1(2.85%) 32(12.69%)
House damaged by the Disaster
Sr. No Status Idukki Alappuzha Total
OBC SC ST General OBC SC ST General
1 Damaged
36(97.80%)
21(100%)
15(100%)
13(100%)
26(100%)
67(67.76%)
6(100%)
35(100%)
219(86.9%)
2 Not Damaged
1(2.70%) 0 0 0 0 22(22.22%)
0 0
23(9.12%)
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The profile of housing described above shows only 7.53% of the total respondents in both the districts
living in pucca houses. The disaster has damaged or destroyed almost 86.9% of the houses.
Category of the House Damaged
No. and % of HH
Sr. No. Category Idukki Alappuzha
OBC SC ST General OBC SC ST Gen
eral
1 Fully damaged 27(72.97%) 19(90.45%)
13(86.66%) 7(53.84%) 7(26.92%) 30(30.30%) NR
2 Partially damaged 9(24.32%) 2(9.5%)
2(13.33%) 2(15.38%) 32(32.32%) NR 6(17.14%)
3 Minor damage 1(2.70%) 0
4(30.76%) 2(7.69%) 17(17.17%) NR
1(2.85%)
SC, ST and OBC respondents of Idukki district have suffered maximum damage to their houses; 90.45%
of SCs, 86.66% of the STs and 72.97% of the OBCs have their houses ‘Full Damaged’. In general
communities 53.84% of the houses are fully damaged.
In Alappuzha the OBCs and General communities have been affected at a moderate level. Only 26.92%
of the OBC respondents’ houses fall in the Fully Damaged category, while 17.14% of the houses of the
general communities fall in the partially damaged category. The SC respondents of Alappuzha have
taken the brunt of the destruction with 62.62% of the houses having been fully or partially damaged.
THE NATURE OF HELP REQUIRED TO REBUILD HOUSES
Help Needed to repair / rebuild Houses
Sr. No Help Needed Number of HH District wise
Idukki Alappuzha
OBC SC ST General OBC SC ST General
1 Building Material 4(10.81%) 7(33.33%) 3(23.07%) 20(76.92%) 20(20.20%) NR 4(11.42%)
2 Labour 31(83.73%) 12(57.14%) 13(86.66%) 9(69.23%) 4(15.34%) 45(45.45%) NR 30(85.71%)
3 Cash 3(8.10%) 2(9.52%) 2(13.33%) 1(7.69%) 1(3.84%) 12(12.12%) NR
By far, the main requirement across communities is seen to be support in (skilled) labour to build or
repair houses. In Idukki 83.73% of OBC respondents, 57.14% SC, 86.66% ST and 69.23% General
communities have indicated requirement for labour support. SCs in Idukki (33.33%) are in need of
building material support too. In Alappuzha 20.20% of SC respondents, 76.92% of OBCs and 11.42% of
the general communities have asked for building material support. A substantial percentage of SC
respondents (45.45%) and of general communities (85.71%) have indicated the need for labour
support too. Requirement for cash support is not seen to be very high, but it should be noted that
9.52% of SC respondents and 13.33% of ST in Idukki, as well as 12.12% of SC in Alappuzha have asked
for cash support.
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PROPERTY OWNERSHIP
The vast majority (79.76%) of respondents across all communities have private ownership of their
houses, particularly in Idukki district. However only the 56.56% of the SC respondents of Alappuzha
have their own houses. The ST communities in Alappuzha too do not have their own houses at all.
They either stay in rented houses (33.33%) or in other temporary arrangements (66.66%). The OBCs
(100%) and general communities (97.14%) in Alappuzha have private ownership.
Type of Property Ownership Sr. No
Ownership
Idukki Alappuzha Total
OBC SC ST General OBC SC ST General
1 Private 36(97.29%) 21(100%) 15(100%) 13(100%) 26(100%) 56(56.56%) 34(97.14%) 201(79.76%)
2 Rented 1(2.70%) 0% 0% 0% 14(14.14%) 2(33.33%) 1(2.85%) 18(7.14%)
3 Unauthorized
0% 0% 0% 0% 13(13.13%) 13(5.15%)
4 Other 0% 0% 0% 0% 9(9.09%) 4(66.66%) 13(5.15%)
PLANS TO COPE WITH CURRENT LOSS OF LIVELIHOOD
Plans to cope with current loss of livelihood Sr. No
Plan Idukki Alappuzha
OBC SC ST General
OBC SC ST
General
1 Selling of household assets or fix assets
0 0 0 0 0 0
2 Will migrate outside for work
22(59.45%)
0 0 0 4(4.04%) 0 01(2.85%)
3 Alternative livelihood
4(10.81%)
21(100%)
14(93.33%)
12 4(15.38%)
51(51.51%)
0 3(8.57%)
4 Borrow loan with high interest
8(21.62%)
0 1(6.66%) 1 10(38.46%)
29(29.29%)
0 10(28.57%)
5 other 4(10.81%)
0 0 15 8(8.08%) 6 01(2.85%)
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As the table indicates, of the total respondents, 59% of the OBCs in Idduki stated migration for livelihood recovery, whilst 100% of SCs and 93% of STs in Idukki stated alternative livelihood to be the plan for recovery. Even in Alappuzha, more than half of the SCs reported to taking up alternative livelihood. Borrowing money on high interest was expressed by a higher number of OBCs in both Idduki and Alappuzha, followed by a significant number of SCs in Alappuzha. Overall, the trend reveals that due to the incapacity of SCs and STs to pay off the loan, SCs and STs have not considered it an option at all in Idukki, but alternative livelihood is stated to be the main plan. On the contrary, OBCs have considered borrowings as main plan for recovery. Though it cannot be said with certainty why alternative livelihood is not chosen as an option by OBCs, but borrowing indicated by such high numbers does indicate some level of capacity to repay and plans for earning this income by substantial investment. In contrast, in Alappuzha, a significant number of SCs also have considered the private borrowings an option. Altogether, this option is likely to impact SCs more than OBCs, which is likely to push them in a debt trap, or at least reeling under a heavy financial burden.
CONSTRAINTS TO RESTART THE MAIN LIVELIHOOD ACTIVITY
The major constraint in Idukki District for resuming agriculture is that the land still need to be
cleaned of debris and silt. 100% of SC farmers and 86.66% ST farmers cited this constraint.
13.33% of ST respondents also indicated that absence of funds for inputs is a major constraint.
The lack of funds is one of the major constraints to re-start livelihood activities for SCs as well
as OBCs in Alappuzha district. 57.57% of the SCs have indicated this and 80.76% of the OBC
respondents too, along with 11.42% of the general community. 6.06% of SCs in Alappuzha
cited that agricultural land needs to be cleared of debris and silt, 6.06% SCs cited loss of
agricultural implements as a constraint and 5.05% of SCs mentioned that fishing is not
fetching any income as yet following the disaster.
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BORROWED MONEY AFTER THE DISASTER
Borrowed money after the disaster Sr. No
Borrowed Idukki Alappuzha
OBC SC ST General OBC SC ST General
1 Yes 20(54.05%) 0 0 0
24(92.30%)
66(66.66%)
6(100%)
16(45.71%)
2 No 17(45.94%)
21(100%)
15(100%)
13(100%)
1(3.84%)
18(18.18%)
19(54.28%)
The trend on communities’ plans to cope from the loss of livelihood corroborates with the finding on
money borrowed post disaster. As can be seen from table above, 54% of OBCs in Idukki and 92% of
OBCs in Alappuzha reported such borrowings. Likewise, 100% of STs and 67% of SCs reported to
borrowing in Alappuzha, followed by 45% of the General category respondents.
From whom Borrowed the loan Sr. No Borrowed Idukki Alappuzha
OBC SC ST
General OBC SC ST General
1 Local Money Lender
1(2.63%) 0
2(13.33%)
3(23.07%)
6(23.07%)
62(62.62%) 0 14(40%)
2 Bank 2(5.26%) 0 0 0
3(11.53%)
3(3.03%) 0 7(20%)
Constraints to restart the main Livelihood Activity Sr. No Constraints Idukki Alappuzha
OBC SC ST General OBC SC ST General
1
Agricultural land under debris
25(67.56%)
21(100%)
13(86.66%)
7(53.84%) 0
6(6.06%) 0
1(2.85%)
2
Loss of agricultural implements 0
5(38.46%) 0 6(6.06%) 0
1(2.85%)
3
Fishing not fetching income
1(2.70%) 0 0 5(5.05%) 0 0
4 Loss of fodder 0 0 0 1(1.01%) 0 0
5
Absence of funds /seed capital
5(13.52%) 0
2(13.33%)
1(7.69%)
21(80.76%)
57(57.57%) 0
4(11.42%)
6 Other 7(18.91%) 0 0 6(6.06%)
6(100%) 0
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3 Self Help Group
2(5.26%) 0 0 0
3(3.03%)
4(66.66%)
11(31.42%)
The data on source of borrowing is inadequate, and doesn’t therefore reveal significant trend in Idukki,
except that 10% of the OBCs borrowed from banks and Self Help Groups. In Alappuzha, 63% of SCs
and 100% STs borrowed money from local money lenders, with 11% of OBCs securing bank loan.
MAIN SOURCE OF ENERGY
Main Source of Energy Sr. No Source Idukki Alappuzha
OBC SC ST General OBC SC ST General
1 Firewood 25(65.78%)
21(100%) 6(40%) 0
6(23.07%)
64(64.64%)
2(33.33%)
11(31.42%
2 Cattle dung/Biogas 0
1(6.67% 0 0
2(2.02%) 0 0
3 Kerosene 0 0 0 0 2(7.69%)
2(2.02%) 0
1(2.85%)
4 LPG 13(34.21%) 0
8(53.33%)
13(100%)
18(69.23%)
26(26.26%)
4(66.67%)
23(65.71%)
5 Solar lamps/ panel 0 0 0 0 0 0 0 0
Overall, firewood and LPG were two main sources of energy, of which 100% SCs, 66% of OBCs and
40% of STs depended on firewood in Idukki, while in Alappuzha, dependence on firewood was
reported to be higher among SCs and STs and least among OBCs. 8% of OBCs reported dependence
on kerosene in Alappuzha. 53% of SCs and 100% of STs in Idukki, and 69% of OBCs in Alappuzha
reported high dependence on LPG. This reveals that majority of SCs and STs had LPG connections in
Idukki, and a higher number of OBCs had LPG connections in Alappuzha.
OWNERSHIP OF AGRICULTURAL LAND
Ownership of Agricultural Land Sr. No
Ownership Status Idukki Alappuzha
OBC SC ST General OBC SC ST General
1 Yes : Own Land
19(50%) 0 0 0
7(26.92%)
53(53.53%)
4(66.667%)
29(82.85%)
2 No 19(50%)
21(100%)
15(100%)
13(100%)
18(69.23%)
31(31.31%) 0
4(11.42%)
Regarding the status of ownership of land, 50% OBCs owned land, whereas none of the SCs and STs
had land ownership in Idukki. However, in Alappuzha, ownership of land is seen to be nominal among
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the OBCs, and highest among general category, followed by 67% of STs and 54% of SCs. The data
explain why SCs and STs in Idukki did not opt for borrowing as an option, but preferred alternative
livelihood as plan for coping with livelihood loss, because they lack the asset to generate and earn
income to pay off the loan. And since in Alappuzha 54% of SCs own land, 29% of them considered
borrowing an option for coping with loss of livelihood, having the capacity and means to repay the
loan. Nevertheless, data on borrowing shows that the vast majority have already borrowed money for
survival after the disaster.
Agricultural Loss Sr. No. Type of Loss Number and % of Households
Idukki Alappuzha Total
1 Plantations 8(9.19%) 7(4.21%) 51
2 Paddy fields 1(1.15%) 29(17.46%) 7
3 Vegetable farms 2(2.3%) 7(4.21%) 4
4 Others 0 0 33
As evident from the table above, major losses were faced by paddy owners in Alappuzha and
plantations in Idukki.
Loss of Live Stock
Sr. No Livestock Number of Families (District wise) Total No of
Families
Idukki Alappuzha 1 Cow 1 20 3
2 Goats 0 46 29
3 Chicken 13 402 45
4 Ducks 0 250 39
5 Buffalo 0 14 0
6 Pigs 0 14 0
Majority of small respondents reared small livestock, of which most casualties were reported from
Alappuzha, that too of the chicken and ducks in higher numbers. This data lends an insight into the
kind of livestock afforded by the respondents, very few having cows, buffaloes and pigs. These losses
though small in terms of the loss to state’s economy, are significant losses to the poor households
where they depend on these small animals and birds to meet their daily requirements of milk, eggs
and meat and small income
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Damages by the floods or landslides; which Impacted Livelihood
Sr. No
Damages Idukki Alappuzha
OBC SC ST GENERAL OBC SC ST GENERAL
1
Agricultural crops
25(65.68%)
21(100%) 9(60%) 0
5(19.23%)
31(31.31%) 0 1(2.85%)
2 Rickshaw, van 0 0
1(6.66%) 0 0 1(1.01%) 0 0
3
lost poultry and fishery 0 0 0 0 0 1(1.01%) 0 1(2.85%)
4 Forest produce 0 0 0 0 0 1(1.01%) 0 0
5 Business loss 0 0 3(20%) 1(7.7%) 0 2(2.02%) 0 0
6
Daily Wages & other
12(31.57%) 0
2(13.33%)
12(92.3%)
18(69.23%)
52(52.52%)
6(100%)
30(85.71%)
Major livelihood loss is seen to be with the daily wage workers and others, with 92% of STs and 32%
of OBCs in Idukki, and 100% STs, 86% of General category, 69% of OBCs and 52% of SCs in Alappuzha.
This shows that daily wage loss across all communities was very high in Alappuzha district, with high
crop loss in Idukki among 100% SCs, 66% of OBCs and 60% STs. The data reveal the fragility of
livelihood of the communities in different terrains of the lower Kuttanadu region of Kerala, exposed
to flooding and landslides, aggravating the economic vulnerability of the already struggling
communities.
The loss of wages doesn’t fall under the purview of National/State Disaster Response Fund norms of
immediate compensation. This clause itself is likely to have a big section of daily wage workers
disqualified and excluded from immediate relief assistance, extremely critical at this point, to help
communities without assets and livelihood security.
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Annexure 1
Tables for Data Analysis on Protection
Kerala Floods 2018
1. Caste of Respondent
DISTRICTS OBC OTHER SC ST TOTAL
Alappuzha 32 30 14 0 76
Ernakulum 56 6 5 4 71
Idduki 0 58 16 5 79
Kottayam 16 25 11 1 53
Kozhikode 61 4 14 1 80
Malapuram 40 12 13 42 107
Palakkad 55 11 19 3 88
Pathanamthitta 5 2 0 2 9
Thrissur 41 2 6 9 58
Wayanad 45 16 7 18 86
351 166 105 85 707
42% 20% 13% 10%
2. Religion of Respondents
DISTRICT Christian Hindu Muslim Other Grand Total
Alappuzha 27 52 79
Eranakulam 49 22 2 73
Idukki 49 29 1 79
Kottayam 20 43 2 1 66
Kozhikkode 11 49 22 82
Malappuram 10 70 27 107
Palakkad 31 54 10 95
Pathanamthitta 14 64 2 80
Thrissur 27 27 4 58
Wayanad 17 37 30 4 88
Grand Total 255 447 100 5 807
31% 54% 2% 12%
3. INCOME
A. Rs. 5000 and Below
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 30 30 14 0 74
Eranakulam 35 0 3 3 41
Idukki 0 40 11 0 51
Kottayam 8 0 8 13 29
Kozhikkode 47 4 10 1 62
Malappuram 35 3 13 37 88
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Palakkad 35 7 16 2 60
Pathanamthitta 5 2 0 2 9
Thrissur 23 0 3 6 32
Wayanad 38 16 6 13 73
256 102 84 77 519
73% 61% 80% 91%
B. Rs. 5001-10000
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 0 1 0 0 1
Eranakulam 5 2 1 0 8
Idukki 0 14 1 4 19
Kottayam 4 1 0 1 6
Kozhikkode 7 0 2 0 9
Malappuram 2 1 0 4 7
Palakkad 14 4 2 0 20
Pathanamthitta 0 0 0 0 0
Thrissur 0 0 0 1 1
Wayanad 4 1 1 2 8
36 24 7 12 79
10% 14% 7% 14%
C. Rs. 10001-15000
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 2 1 0 0 3
Eranakulam 0 3 0 0 3
Idukki 0 4 0 0 4
Kottayam 0 4 0 0 4
Kozhikkode 1 8 0 1 10
Malappuram 6 0 0 1 7
Palakkad 4 0 0 0 4
Pathanamthitta 0 0 0 0 0
Thrissur 3 0 0 0 3
Wayanad 1 1 0 3 5
17 21 0 5 43
D. 15001-20000
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 0 0 0 0 0
Eranakulam 0 0 0 0 0
Idukki 0 0 0 0 0
Kottayam 2 3 0 0 5
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Kozhikkode 1 0 0 0 1
Malappuram 1 0 0 0 1
Palakkad 0 0 0 1 1
Pathanamthitta 0 0 0 0 0
Thrissur 1 0 0 0 1
Wayanad 0 0 0 0
5 3 0 1 9
E. 20000-25000
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 0 0 0 0 0
Eranakulam 0 0 0 0 0
Idukki 0 0 0 0 0
Kottayam 1 1 0 0 2
Kozhikkode 0 0 1 0 1
Malappuram 1 0 0 0 1
Palakkad 0 0 1 0 1
Pathanamthitta 0 0 0 0 0
Thrissur 1 0 3 1 5
Wayanad 0 0 0 0
3 1 5 1 10
F. 25000 And Above
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 0 1 0 0 1
Eranakulam 0 0 0 0 0
Idukki 0 0 0 0 0
Kottayam 3 3 3 0 9
Kozhikkode 0 0 0 0 0
Malappuram 0 0 0 0 0
Palakkad 2 0 0 0 2
Pathanamthitta 0 0 0 0 0
Thrissur 0 0 0 1 1
Wayanad 2 0 0 0 2
7 4 3 1 15
4. AGRICULTURAL LANDHOLDINGS
A. LEASE FARMING
DISTRICT OBC OTHERS SC ST TOTAL
Alappuzha 0 0 0 0 0
Ernakulum 0 0 0 0 0
Idduki 0 0 0 0 0
Pag
e80
Kottayam 2 2 0 0 4
Kozhikode 3 0 0 0 3
Malapuram 0 0 0 2 2
Palakkad 0 1 1 0 2
Pathanamthitta 0 0 0 0 0
Thrissur 1 0 0 0 1
Wayanad 0 3 1 2 6
6 6 2 4 18
2% 4% 2% 5%
B. AGRICULTURAL LAND OWNERSHIP
DISTRICT OBC OTHERS SC ST TOTAL
Alappuzha 6 1 0 0 0
Ernakulum 3 0 0 1 3
Idduki 0 0 0 0 0
Kottayam 3 6 3 0 12
Kozhikode 3 1 1 0 5
Malapuram 5 9 1 27 42
Palakkad 11 2 0 2 15
Pathanamthitta 0 0 0 0 1
Thrissur 3 0 0 0 3
Wayanad 8 4 1 1 14
42 23 6 31 95
12% 14% 6% 36%
5. FEMALE HEADED HOUSEHOLDS
DISTRICT OBC OTHERS SC ST TOTAL
Alappuzha 14 12 8 0 34
Ernakulum 12 1 1 0 14
Idduki 0 0 0 0 0
Kottayam 2 3 1 0 6
Kozhikode 33 1 3 1 38
Malapuram 15 1 5 6 27
Palakkad 25 8 10 3 46
Pathanamthitta 0 0 0 0 0
Thrissur 12 0 1 1 14
Wayanad 15 4 2 8 29
128 30 31 19 208
36% 18% 30% 22%
6. PROPERTY OWNERSHIP
Pag
e81
A. PRIVATE OWNERSHIP
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 32 30 13 0 75
Ernakulum 34 4 5 4 47
Idduki 0 0 0 0 0
Kottayam 13 23 11 1 48
Kozhikode 57 4 10 1 72
Malapuram 39 12 13 35 99
Palakkad 46 11 14 2 73
Pathanamthitta 5 1 0 2 8
Thrissur 35 2 6 8 51
Wayanad 41 12 7 14 74
302 99 79 67 547
86% 60% 75% 79%
B. RENTING
DISTRICT OBC OTHERS SC ST TOTAL
Alappuzha 1 0 0 0 1
Ernakulum 3 2 0 0 5
Idduki 0 0 0 0 0
Kottayam 2 0 0 0 2
Kozhikode 0 0 0 5 5
Malapuram
1 0 1 1 3
Palakkad 0 1 0 0 1
Pathanamthitta
3 0 0 0 3
Thrissur 1 0 0 1 2
Wayanad 11 3 1 7 22
22 6 2 14 44
6% 4% 2% 16%
7. HAD LEGAL PAPERS BEFORE FLOODS A. (YES)
DISTRICT OBC OTHER SC ST TOTA
L
Alappuzha 32 29 12 0 73
Ernakulum 52 6 4 4 66
Idduki 0 0 0 0 0
Kottayam 13 24 10 1 48
Pag
e82
Kozhikode 55 3 10 1 69
Malapuram 37 10 11 31 89
Palakkad 47 9 15 2 73
Pathanamthitta 4 1 0 2 7
Thrissur 39 0 6 9 54
Wayanad 40 13 6 15 74
319 95 74 65 553
91% 57% 70% 76%
6. LEGAL PAPERS BEFORE FLOODS B. (NO)
DISTRICT OBC OTHER SC ST TOTAL
Alappuzha 0 1 2 0 3
Ernakulum 3 0 1 0 4
Idduki 0 0 0 0 0
Kottayam 3 1 1 0 5
Kozhikode 6 1 4 0 11
Malapuram 3 2 2 11 18
Palakkad 8 2 4 1 15
Pathanamthitta 1 1 0 0 2
Thrissur 4 0 0 0 4
Wayanad 4 3 1 3 11
32 11 15 15 73
9% 7% 14% 18%
6 C. Legal papers lost (Post Disaster)
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 6 7 6 0 19
Ernakulum 3 0 1 1 5
Idduki 0 0 0 0 0
Kottayam 7 3 2 1 13
Kozhikode 19 1 6 0 26
Malapuram 5 2 8 22 37
Palakkad 14 3 5 1 23
Pathanamthitta 0 1 0 0 1
Pag
e83
Thrissur 1 0 0 0 1
Wayanad 7 9 3 8 27
62 26 31 33 152 18% 16% 39% 39%
7. THREAT OF EVICTION
DISTRICT OBC OTHER SC ST TOTAL
Alappuzha 5 4 2 0 11
Ernakulum 5 0 1 0 6
Idduki 0 0 0 0 0
Kottayam 3 6 1 0 10
Kozhikode 13 0 5 1 19
Malapuram 8 2 10 14 34
Palakkad 20 5 7 2 34
Pathanamthitta 0 0 0 0 0
Thrissur 6 0 2 2 10
Wayanad 7 3 2 3 15
67 20 30 22 139
19% 13% 29% 26%
8. HOUSING TYPE
A. Traditional/Mud
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 0 1 1 0 2
Ernakulum 1 0 1 0 2
Idduki 0 3 1 0 4
Kottayam 1 0 0 0 1
Kozhikode 14 0 1 0 15
Malappuram 3 0 1 12 16
Palakkad 18 1 6 0 25
Pathanamthitta 0 0 0 0 0
Thrissur 2 0 0 0 2
Wayanad 13 7 3 2 25
52 12 14 14 92
15% 7% 13% 16%
B. PUCCA House
OBC OTHR SC ST TOTAL
Alappuzha 5 8 0 0 13
Ernakulum 28 6 3 4 41
Idduki 0 1 4 0 5
Kottayam 3 9 4 1 17
Kozhikode 19 4 3 0 26
Pag
e84
Malappuram 21 9 4 19 53
Palakkad 13 6 1 1 21
Pathanamthitta 0 0 0 0 0
Thrissur 24 2 3 3 32
Wayanad 5 5 0 4 14
118 50 22 32 222
34% 30% 21% 38%
C. Semi-PUCCA House
OBC OTHERS SC ST TOTAL
Alappuzha 23 17 7 0 47
Ernakulum 16 0 0 0 16
Idduki 0 53 11 5 69
Kottayam 11 16 7 0 34
Kozhikode 22 0 4 0 26
Malappuram 14 3 8 11 36
Palakkad 20 4 6 2 32
Pathanamthitta 5 2 0 2 9
Thrissur 14 0 2 5 21
Wayanad 23 3 2 7 35
148 98 47 32 325
46% 59% 45% 38%
D. TEMPORARY HUTS
OBC OTHERS SC ST TOTAL
Alappuzha 4 4 6 0 14
Ernakulum 1 0 0 0 1
Idduki 0 0 0 0 0
Kottayam 1 0 0 0 1
Kozhikode 6 0 6 1 13
Malappuram 2 0 0 0 2
Palakkad 4 0 6 0 10
Pathanamthitta 0 0 0 0 0
Thrissur 0 0 0 1 1
Wayanad 4 1 2 5 12
22 5 20 7 54
6% 3% 19% 8%
9. HOUSING DAMAGE
Pag
e85
A. CAT 1 DAMAGE
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 11 18 12 0 41
Ernakulum 4 1 1 0 6
Idduki 0 30 3 5 38
Kottayam 1 2 1 0 4
Kozhikode (20%) 13 0 8 0 21
Malapuram 16%) 12 0 9 21 42
Palakkad (16%) 16 4 6 2 28
Pathanamthitta 0 0 0 0 0
Thrissur 9 1 4 1 15
Wayanad 17 4 1 8
83 60 45 37 195
24% 36% 43% 44%
B. CAT 2 DAMAGE
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 14 10 2 0 26
Ernakulum 11 1 2 0 14
Idduki 0 11 5 0 16
Kottayam 2 5 1 0 8
Kozhikode (20%) 24 3 4 1 32
Malapuram 16%) 15 3 2 18 38
Palakkad (16%) 17 3 7 1 28
Pathanamthitta 5 2 0 2 9
Thrissur 12 0 3 4 19
Wayanad 19 7 3 6 35
119 45 29 32 225
34% 27% 28% 38%
CAT 1 & CAT 2=420 total (58% of OBC, 63% of Others, 70% of SCs and 81% of STs
C. CAT 3 DAMAGE
DISTRICT OBC OTHR SC ST TOTAL
Pag
e86
Alappuzha 7 2 0 0 9
Ernakulum 28 4 2 4 38
Idduki 0 14 8 0 22
Kottayam 13 18 9 1 41
Kozhikode (20%) 24 1 2 0 27
Malapuram 16%) 13 9 2 3 27
Palakkad (16%) 22 4 6 0 32
Pathanamthitta 0 0 0 0 0
Thrissur 15 0 1 1 0
Wayanad 9 5 3 4 21
131 57 33 13 217
37% 34% 31% 15%
10. SANITATION (PRE-DISASTER)
A. Non-Sanitary
OBC OTHERS SC ST TOTAL
Alappuzha 1 2 2 0 5
Ernakulum 1 1 0 0 2
Idduki 0 0 0 0 0
Kottayam 1 1 0 0 2
Kozhikode 1 1 3 0 5
Malapuram 2 2 14 4 22
Palakkad 7 1 2 1 11
Pathanamthitta 0 0 0 0 0
Thrissur 1 0 0 1 2
Wayanad 3 0 0 0 3
17 8 21 6 52
5% 5% 20% 7%
B. Sanitary (Non-water sealed)
OBC OTHERS SC ST TOTAL
Alappuzha 0 1 1 0 2
Ernakulum 11 0 4 1 16
Idduki 0 0 0 0 0
Kottayam 2 4 4 0 10
Kozhikode 4 0 2 0 6
Malapuram 4 0 5 9 18
Palakkad 20 6 4 1 31
Pag
e87
Pathanamthitta 0 0 0 0 0
Thrissur 23 2 2 6 33
Wayanad 4 2 1 6 13
68 15 23 23 129
19% 9% 19% 8%
C. Sanitary (water sealed)
OBC OTHERS SC ST TOTAL
Alappuzha 30 27 9 0 66
Ernakulum 42 5 4 0 51
Idduki 58 0 16 4 78
Kottayam 13 20 7 1 41
Kozhikode 56 3 9 1 69
Malapuram 31 9 4 15 59
Palakkad 26 4 12 1 43
Pathanamthitta 5 2 0 2 9
Thrissur 17 0 4 2 23
Wayanad 38 12 6 9 65
316 82 71 35 504
90% 49% 68% 41%
NONE
OBC OTHERS SC ST TOTAL
Alappuzha 1 0 2 0 3
Ernakulum 0 0 0 0 0
Idduki 0 0 0 0 0
Kottayam 0 0 0 0 0
Kozhikode 0 0 0 0 0
Malapuram 3 1 0 4 8
Palakkad 2 0 1 0 3
Pathanamthitta 0 0 0 0 0
Thrissur 0 0 0 0 0
Wayanad 0 2 0 3 5
6 3 3 7 19
2% 2% 3% 8%
11. SANITATION (POST-DISASTER)
A. NON-SANITARY
OBC OTHERS SC ST TOTAL
Alappuzha 3 3 1 0 7
Ernakulum 1 1 0 0 2
Idduki 0 0 0 0 0
Kottayam 0 0 0 0 0
Kozhikode 1 0 0 0 1
Pag
e88
Malapuram 6 2 8 4 20
Palakkad 6 0 5 0 11
Pathanamthitta 0 0 0 0 0
Thrissur 0 0 0 1 1
Wayanad 6 0 0 1 7
23 6 14 6 49
7% 4% 13% 7%
B. SANITARY (NON-WATER SEALED)
OBC OTHERS SC ST TOTAL
Alappuzha 1 0 1 0 2
Ernakulum 0 6 0 0 6
Idduki 0 0 0 0 0
Kottayam 1 6 4 0 11
Kozhikode 3 0 2 0 5
Malapuram 2 0 0 3 5
Palakkad 12 1 1 0 14
Pathanamthitta 0 0 0 0 0
Thrissur 3 0 0 1 4
Wayanad 1 2 1 1 5
23 15 9 5 52
7% 9% 9% 6%
C. SANITARY (WATER SEALED)
OBC OTHERS SC ST TOTAL
Alappuzha 17 19 4 0 40
Ernakulum 38 6 4 4 52
Idduki 0 58 16 4 78
Kottayam 9 8 1 1 19
Kozhikode 32 1 5 1 39
Malapuram 5 2 1 4 12
Palakkad 6 1 4 1 12
Pathanamthitta 5 2 0 2 9
Thrissur 15 0 3 1 19
Wayanad 21 6 1 5 33
148 103 39 23 313
42% 62% 37% 27%
D. NONE
OBC OTHERS SC ST TOTAL
Alappuzha 1 0 2 0 3
Ernakulum 5 0 0 0 5
Idduki 0 0 0 0 0
Pag
e89
Kottayam 0 0 0 0 0
Kozhikode 0 0 0 0 0
Malapuram 0 0 3 5 8
Palakkad 1 0 0 0 1
Pathanamthitta 0 0 0 0 0
Thrissur 0 0 0 0 0
Wayanad 2 1 0 0 3
9 1 5 5 20
3% 1% 5% 6%
12. TOILETS DAMAGED
YES
OBC OTHERS SC ST TOTAL
Alappuzha 22 22 8 0 52
Ernakulum 23 3 3 3 32
Idduki 0 58 16 4 78
Kottayam 11 15 5 1 32
Kozhikode 41 1 7 1 50
Malapuram 13 4 12 16 45
Palakkad 25 2 10 1 38
Pathanamthitta 1 1 0 1 3
Thrissur 7 0 4 3 14
Wayanad 30 9 2 7 48
173 115 67 37 392
49% 69% 64% 44%
13. DISPOSAL OF SANITARY NAPKIN
A. WATER AND DAMP MARSH IN VILLAGE SURROUNDING
OBC OTHERS SC ST TOTAL
Alappuzha 8 5 1 0 14
Ernakulum 33 2 2 3 40
Idduki 0 15 7 5 27
Kottayam 0 0 0 0 0
Kozhikode 27 2 7 1 37
Malapuram 23 11 1 23 58
Palakkad 24 5 7 2 38
Pathanamthitta 0 0 0 0 0
Thrissur 9 0 1 3 13
Wayanad 21 7 2 3 33
145 47 28 40 260
31% 28% 27% 47%
B. BURNING
Pag
e90
OBC OTHERS SC ST TOTAL
Alappuzha 0 0 0 0 0
Ernakulum 26 2 2 3 33
Idduki 0 10 0 0 10
Kottayam 11 16 10 0 37
Kozhikode 0 0 0 0 0
Malapuram 0 0 0 0 0
Palakkad 0 0 0 0 0
Pathanamthitta 0 0 0 0 0
Thrissur 8 0 3 1 12
Wayanad 0 0 0 0 0
45 28 15 4 92
13% 17% 14% 5%
C. HEAP OF SOLID WASTE OR HOUSEHOLD WASTE IN THE SURROUNDING
OBC OTHERS SC ST TOTAL
Alappuzha 24 22 13 0 59
Ernakulum 10 3 1 0 14
Idduki 0 25 9 0 34
Kottayam 0 0 0 1 1
Kozhikode 31 2 7 0 40
Malapuram 15 1 12 18 46
Palakkad 12 3 9 1 25
Pathanamthitta 0 0 0 0 0
Thrissur 11 1 1 3 16
Wayanad 15 3 1 6 25
118 60 53 29 260
34% 36% 50% 34%
14. WATER SOURCE
A. Dug wells
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 7 12 7 0 26
Ernakulum 6 1 2 0 9
Idduki 0 45 10 5 60
Kottayam 3 12 6 0 21
Kozhikode (20%) 26 2 3 0 31
Malapuram 18 3 7 19 47
Palakkad 7 3 0 0 10
Pathanamthitta 0 0 0 0 0
Thrissur 6 0 2 1 9
Wayanad 21 10 4 4 39
94 88 41 29 252
Pag
e91
27% 53% 39% 34%
B. PIPED WATER SYSTEM
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 16 11 5 0 32
Ernakulum 43 5 2 4 54
Idduki 0 4 0 0 4
Kottayam 11 9 3 1 24
Kozhikode 17 1 8 1 27
Malapuram 4 0 3 1 8
Palakkad 23 5 15 1 44
Pathanamthitta 0 0 0 0 0
Thrissur 20 1 4 5 30
Wayanad 21 1 0 9 31
157 37 40 22 254
45% 22% 38% 26%
C. DUG WELL PIPE WATER
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 0 1 0 0 1
Ernakulum 0 0 0 0 0
Idduki 0 0 0 0 0
Kottayam 1 2 1 0 4
Kozhikode 11 1 1 0 13
Malapuram 0 0 0 0 0
Palakkad 0 0 1 1 2
Pathanamthitta 0 0 0 0 0
Thrissur 7 1 0 1 9
Wayanad 0 1 0 1 2
19 6 3 3 31
5% 4% 3% 4%
D. TUBE WELL
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 2 0 1 0 3
Ernakulum 0 0 0 0 0
Idduki 0 0 0 0 0
Kottayam 0 1 0 0 1
Kozhikode 3 0 1 0 4
Malapuram 12 9 0 4 25
Palakkad 4 2 1 1 8
Pathanamthitta 0 0 0 0 0
Thrissur 4 0 0 0 4
Wayanad 1 0 1 0 2
0 26 12 4 5 47
Pag
e92
7% 7% 4% 6%
E. PONDS/RIVERS/CANAL
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 0 0 0 0 0
Ernakulum 0 0 0 0 0
Idduki 0 0 0 0 0
Kottayam 0 0 0 0 0
Kozhikode 1 0 0 0 1
Malapuram 2 0 2 13 17
Palakkad 2 0 0 0 2
Pathanamthitta 0 0 0 0 0
Thrissur 0 0 0 0 0
Wayanad 0 0 0 0 0
0 5 0 2 13 20
2% 0% 4% 15%
6. PRIVACY IN USING LATRINES
NO PRIVACY
DISTRICT OBC OTHER SC ST TOTAL
Alappuzha 4 7 9 0 20
Ernakulum 21 2 0 0 23
Idduki 5 0 5 0 10
Kottayam 0 0 0 0 0
Kozhikode 28 0 7 1 36
Malapuram 25 10 6 27 68
Palakkad 22 6 8 2 38
Pathanamthitta 0 0 0 0 0
Thrissur 20 2 2 6 30
Wayanad 19 5 1 11 36
144 32 38 47 261
41% 19% 36% 55%
7. MENSTRUAL HYGIENE PRACTICES
A. SANITARY NAPKINS USED POST DISASTER
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 31 0 12 0 43
Ernakulum 48 5 5 4 62
Idduki 0 0 15 3 18
Kottayam 15 0 7 1 23
Pag
e93
Kozhikode 39 0 9 1 49
Malapuram 32 0 9 24 65
Palakkad 17 0 9 0 26
Pathanamthitta 0 0 0 0 0
Thrissur 35 2 4 7 48
Wayanad 36 0 4 9 49
253 7 74 49 383
72% 4 70% 58%
B. USED CLOTH
DISTRICT OBC OTHR SC ST TOTAL
Alappuzha 1 0 1 0 2
Ernakulum 2 0 0 0 2
Idduki 0 0 1 2 3
Kottayam 1 0 0 0 1
Kozhikode 20 0 4 0 24
Malapuram 8 0 4 18 30
Palakkad 30 0 7 1 38
Pathanamthitta 0 0 0 0 0
Thrissur 2 0 0 2 4
Wayanad 7 0 1 7 15
71 0 18 30 119
20% 0 17% 35%
8. STATUS OF AWW/ANMs Post Disaster
ANGANWADIS/ANMs Resumed-NO
DISTRICT OBC OTHERS SC ST TOTAL
Alappuzha 12 5 3 0 20
Ernakulum 20 3 1 3 27
Idduki 0 8 1 2 11
Kottayam 6 2 3 0 11
Kozhikode 9 0 3 0 12
Malapuram 21 9 2 32 64
Palakkad 42 10 8 2 62
Pathanamthitta 11 0 2 1 14
Thrissur 11 0 2 1 14
Wayanad 5 4 3 1 13
137 41 28 42 248
39% 25% 27% 49%
9. SEEING, HEARING, CLIMBING OR WALKING
Pag
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SEEING A. YES-SOME DIFFICULTY
DISTRICT OBC OTHER SC ST TOTAL
Alappuzha 3 9 1 0 13
Ernakulum 2 1 0 0 3
Idduki 7 16 0 0 23
Kottayam 0 0 0 0 0
Kozhikode (20%) 17 13 4 0 34
Malapuram 16%) 17 2 4 5 28
Palakkad (16%) 14 3 8 2 27
Pathanamthitta 4 1 0 1 6
Thrissur 15 0 1 1 17
Wayanad 10 8 1 2 21
87 50 19 11 172
25% 30% 18% 13%
SEEING B. YES-LOT OF DIFFICULTY
DISTRICT OBC OTHER SC ST TOTAL
Alappuzha 1 5 4 0 10
Ernakulum 2 0 2 3 7
Idduki 0 8 1 0 9
Kottayam 2 0 0 0 2
Kozhikode 2 0 0 0 2
Malapuram 2 0 0 2 4
Palakkad 2 0 1 0 3
Pathanamthitta 0 0 0 0 0
Thrissur 7 0 0 1 8
Wayanad 0 1 0 4 5
18 14 8 10 50
5% 9% 8% 12%
C. HEARING YES-LOT OF DIFFICULTY
DISTRICT OBC OTHER SC ST TOTAL
Alappuzha 0 0 0 0 0
Ernakulum 1 1 0 0 2
Idduki 0 0 0 0 0
Kottayam 0 0 0 0 0
Kozhikode 3 0 1 0 4
Malapuram 1 0 0 1 2
Palakkad 2 0 1 0 3
Pathanamthitta 0 0 0 0 0
Thrissur 2 0 0 0 2
Wayanad 0 0 0 2 2
9 1 2 3 15
Pag
e95
HEARING D. YES-SOME DIFFICULTY
DISTRICT OBC OTHER SC ST TOTAL
Alappuzha 0 0 1 0 1
Ernakulum 6 0 1 1 8
Idduki 0 0 0 0 0
Kottayam 4 0 1 0 5
Kozhikode 5 0 0 3 8
Malapuram 6 0 1 0 7
Palakkad 8 0 4 1 13
Pathanamthitta 0 0 0 0 0
Thrissur 8 0 0 1 9
Wayanad 2 0 1 0 3
39 0 9 6 54
Cannot do at all- SC-3; ST-4; OBC- 8= 15
SC-14 (13%); 14% OBC-48; ST-9
WALKING OR CLIMBING
E. YES-SOME DIFFICULTY
DISTRICT OBC OTHER SC ST TOTAL
Alappuzha 2 9 3 0 14
Ernakulum 7 0 0 0 7
Idduki 3 9 5 0 17
Kottayam 8 1 2 0 11
Kozhikode 5 0 0 3 8
Malapuram 4 0 4 6 14
Palakkad 9 2 5 0 16
Pathanamthitta 0 0 0 0 0
Thrissur 6 0 2 0 8
Wayanad 7 2 0 2 11
51 23 21 11 106
WALKING OR CLIMBING F. YES-A LOT OF DIFFICULTY
OBC OTHER SC ST TOTAL
Alappuzha 2 3 1 0 6
Ernakulum 5 0 0 0 5
Idduki 0 0 0 0 0
Kottayam 3 0 1 0 4
Kozhikode 4 0 0 0 4
Malapuram 1 0 0 0 1
Palakkad 6 0 4 1 11
Pathanamthitta 8 0 0 2 10
Pag
e96
Thrissur 6 0 2 0 8
Wayanad 2 0 1 0 3
37 3 9 3 52
CANT DO AT ALL
OBC OTHER SC ST TOTAL
1 0 0 2 3
8 8 0 0 16
0 0 0 1 1
9 8 0 3 20
Total OBC- (94) 28%, Others- (34) 21%, SC (30) 29% , ST (17) 20%
10. A. PREGNANT WOMEN ( 1/HH)
DISTRICT OBC OTHER SC ST TOTAL
Alappuzha 1 1 3 0 5
Ernakulum 0 0 1 0 1
Idduki 0 0 0 0 0
Kottayam 1 5 1 1 8
Kozhikode 7 0 0 0 7
Malapuram 2 0 0 0 2
Palakkad 2 0 1 1 4
Pathanamthitta 0 0 0 0 0
Thrissur 1 0 0 0 1
Wayanad 10 1 0 4 15
24 7 6 6 43
15 B. PREGNANT WOMEN (2/HH)
DISTRICTS OBC OTHERS SC ST TOTAL
Alappuzha 0 0 0 0 0
Ernakulum 1 0 0 0 1
Idduki 0 0 0 0 0
Kottayam 0 0 0 0 0
Kozhikode 1 0 0 0 1
Malapuram 0 0 0 0 0
Palakkad 0 0 0 0 0
Pathanamthitta 0 0 0 0 0
Thrissur 0 0 0 0 0
Wayanad 1 0 0 0 1
3*2 0 0 0 3*2=6
3 households have 2 pregnant women each=6 pregnant
5 SC (Kozhikode) pregnant women/1 HH
4 MBC pregnant women/1HH
Grand Total pregnant women-43+6+5+4= 58
8% OBC; 4% Othr; 31% MBC; 10% SC; 7% ST
Pag
e97
PYSCHOSOCIAL HEALTH
A. ILLESS AFTER FLOOD
DISTRICT OBC OTHRS SC ST TOTAL
Alappuzha 5 2 2 0 9
Ernakulum 7 1 1 0 9
Idduki 0 0 0 0 0
Kottayam 4 5 2 1 12
Kozhikode 21 2 3 0 26
Malapuram 7 0 1 6 14
Palakkad 10 1 3 1 15
Pathanamthitta 0 0 0 0 0
Thrissur 8 0 1 2 11
Wayanad 8 4 0 4 16
70 15 13 14 112
20% 9% 12% 16%
B. Diabetes/Hypertension patient
OBC OTHER SC ST TOTAL
Alappuzha 7 8 6 0 21
Ernakulum 10 1 3 0 14
Idduki 0 0 0 0 0
Kottayam 10 17 0 1 28
Kozhikode 26 1 8 1 36
Malapuram 1 0 3 7 11
Palakkad 7 2 3 1 13
Pathanamthitta 0 0 0 0 0
Thrissur 11 0 3 3 17
Wayanad 15 6 1 7 29
87 35 27 20 169
25% 21% 26% 24%
C. Difficulty in performing daily tasks post flood
DISTRICTS OBC OTHER SC ST TOTAL
Alappuzha 5 2 5 0 12
Ernakulum 12 2 1 0 15
Idduki 0 4 0 0 4
Kottayam 6 1 1 1 9
Kozhikode 13 0 3 1 17
Malapuram 4 0 1 7 12
Palakkad 18 4 4 2 28
Pathanamthitta 0 0 0 0 0
Thrissur 2 0 0 0 2
Pag
e98
Wayanad 21 7 0 6 34
81 20 15 17 133
23% 12% 14% 20%
D. IRRITABLE POST FLOODS
DISTRICTS OBC OTHR SC ST TOTAL
Alappuzha 4 0 2 0 6
Ernakulum 13 2 1 0 16
Idduki 0 0 0 0 0
Kottayam 1 0 0 1 2
Kozhikode 5 0 0 0 5
Malapuram 3 0 1 7 11
Palakkad 15 0 0 1 16
Pathanamthitta 0 0 0 0 0
Thrissur 1 0 0 1 2
Wayanad 8 0 0 6 14
50 2 4 16 72
14% .12% 4% 19%
E. DISORIENTED POST FLOODS
DISTRICTS OBC OTHER SC ST TOTAL
Alappuzha 0 2 0 0 4
Ernakulum 3 2 0 0 3
Idduki 2 0 0 0 2
Kottayam 2 1 3 1 7
Kozhikode 5 0 1 0 6
Malapuram 1 0 1 3 5
Palakkad 5 1 0 1 7
Pathanamthitta 0 0 0 0 0
Thrissur 2 0 0 1 3
Wayanad 7 3 0 0 10
29 9 5 6 47
8% 5% 5% 7%
11. HEALTH SERVICES
Health Services Affected Due to Floods
Alappuzha
Eranakulam
Kottayam
Kozhikkode
Malappuram
Palakkad
Pathanamthitta
Thrissur
Wayanad
Grand Total
Routine Immunisation 57 12 17 52 86 48 34 8 47 361
Normal Delivery 2 21 3 13 7 12 3 26 16 103
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ANC/PNC 8 0 14 9 4 10 2 5 6 58
VHSND 1 5 1 1 0 2 10
Any other reason 18 3 38 12 9 24 1 6 17 128
660
12. PROTECTION
A. ALL FAMILY MEMBERS LIVING TOGETHER AFTER FLOODS-NO
DISTRICTS OBC OTHER SC ST TOTAL
Alappuzha 3 2 3 0 8
Ernakulum 5 1 1 0 7
Idduki 0 1 0 0 1
Kottayam 1 2 1 0 4
Kozhikode 10 0 4 0 14
Malapuram 14 4 1 23 42
Palakkad 15 2 4 0 21
Pathanamthitta 0 0 0 0 0
Thrissur 0 0 1 0 1
Wayanad 5 3 0 0 8
53 15 15 23 106
15% 9% 14% 27%
B. Do you know from whom to get support to find missing children
DISTRICTS OBC OTHER SC ST TOTAL
Alappuzha 22 28 14 0 64
Ernakulum 43 6 5 4 58
Idduki 0 12 13 3 28
Kottayam 7 15 8 1 31
Kozhikode 57 2 12 1 72
Malapuram 39 12 12 42 105
Palakkad 44 11 19 1 75
Pathanamthitta 5 2 0 2 9
Thrissur 36 2 5 8 51
Wayanad 44 15 6 18 83
297 105 94 80 576
85% 63% 90% 94%
C. Children living on their own
DISTRICTS OBC OTHERS SC ST TOTAL
Alappuzha 0 0 0 0 0
Ernakulum 1 0 0 0 1
Idduki 0 0 0 0 0
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Kottayam 0 2 1 0 3
Kozhikode 0 0 0 0 0
Malapuram 1 0 1 1 3
Palakkad 1 0 3 1 5
Pathanamthitta 0 0 0 0 0
Thrissur 3 0 0 1 4
Wayanad 1 0 0 0 1
7 2 5 3 17
D. Changes in children post disaster
DISTRICTS OBC OTHERS SC ST TOTAL
Alappuzha 0 0 0 0 0
Ernakulum 2 1 2 0 5
Idduki 0 2 2 1 5
Kottayam 1 0 0 0 1
Kozhikode 6 0 2 0 8
Malapuram 1 0 1 0 2
Palakkad 1 0 2 1 4
Pathanamthitta 0 0 0 0 0
Thrissur 10 2 1 13
Wayanad 2 0 0 2 4
23 3 11 5 42
7% 2% 10% 6%
E. Availability of Playing Area for Children
DISTRICTS OBC OTHERS SC ST TOTAL
Alappuzha 26 28 14 0 68
Ernakulum 8 2 2 4 16
Idduki 0 32 16 5 53
Kottayam 7 7 4 0 18
Kozhikode 51 2 12 1 66
Malapuram 35 12 13 39 99
Palakkad 43 11 18 2 74
Pathanamthitta 5 2 0 2 9
Thrissur 20 2 2 6 30
Wayanad 25 8 4 4 41
220 106 85 63 474
63% 64% 81% 74%
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F. FIR to Police
DISTRICTS OBC OTHERS SC ST TOTAL
Alappuzha 14 9 9 0 32
Ernakulum 2 0 0 0 2
Idduki 4 0 8 0 12
Kottayam 4 6 7 1 18
Kozhikode 24 0 6 1 31
Malapuram 4 0 0 0 4
Palakkad 0 0 1 0 1
Pathanamthitta 0 0 0 0 0
Thrissur 5 0 0 1 6
Wayanad 5 0 0 1 6
62 15 31 4 112
18% 9% 30% 5%
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5.10 HERITAGE
As per the Sendai Framework for Disaster Risk Reduction, cultural heritage and its protection
“helps build resilience” and encourages the ability of the affected population to participate in its own
recovery.
DAMAGE ASSESSMENT: Kerala cultural heritage deeply affected by the floods. Both tangible and
intangible heritage needs urgent attention towards the recovery and stabilization to start as soon
as possible. Most of the communities which run traditional art & culture work are also deeply
affected e.g. weaver community. Infrastructure set-up and raw material to run these art & crafts are
totally damaged in floods.
There are many local to International heritage sites in Kerala, those also need special attention and
technical expertise for restoration. E.g. The Kole wetlands is a unique wetlands lying in Thrissur
District in Kerala, India. The Kole Wetlands is one of largest, highly productive and threatened
wetlands in Kerala and has been declared in Ramsar Convention for protection and it comes in
Central Asian Flyway of migratory birds. Loss of infrastructure, damage to bunds are major problem
and due to that secondary risk of livelihood is also increasing.
There are many ancient religious temples and sites also with valuable murals, paintings, e.g.
Pallimanna temple is situated in the banks of a small river called Aloor river, which is originating
from Vazhani dam. Archeological Survey of India declared the mural paintings (dated 17th-18th
Century) in the walls of this temple as protected monument of national importance since 1983. There
are damages to mural paintiings, disrupted pathways, material loss.
Similarly, there are many heritage sites in all the flood affected districts which needs urgent and
technical assistance to recover cultural heritage.
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5.11 Communication
Radio and television are two common and
widely available and accessible modes of
communication in order to pass on
information especially in normal times. The
JDNA assessment shows that out of the total
number of respondents 50 percent have
access to television and 28 percent listens to
Radio. Out of the people watching television
87 percent use cable and satellite channel and
only 13 percent is using Doordarshan as
source of information.
When you come to the district wise
segregation of the use to Cable and Satellite
channels and average of 78 percentage of
people watch television with cable and
satellite connection in their houses. In District
Malappuram, only 30 percent watches Cable
and Satellite channels. But Doordarshan is
having a reach of only 13 percent average
with maximum people listening to radio in
Malappuram, 54 percent. 62 percent of
people watch television on a regular basis, 9
percent watch at least once in a week, 4
percent watch television less than a week and
25 percent doesn’t watch television at all.
When it comes to Radio, 55 percent people
doesn’t listen to radio. Out of the rest 45
percent 27 percent listens almost every day,
10 percent listens at least once in a week and
8 percent listens less than a week. When you
look into the preference of the radio channel
40 percent are listening to All India radio, 26
percent listens Private FM channels, 6 percent
listens to Community radio stations and 28
percent goes for other available mode of
radio networks.
CASTE
General Most Backward Class Other Backward Caste (OBC)
Others Schedule Caste (SC) Schedule Tribe (ST)
CHANNELS PEOPLE WATCH
Cable & Satellite Channel Doordarshan
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2%
5%0% 4%
4%
54%
2%
10%
5%
14%
DOORDARSHAN
AlappuzhaEranakulamIdukkiKottayamKozhikkodeMalappuramPalakkadPathanamthittaThrissurWayanad
97% 93% 94% 95%
30%
97%88%
93%82%
CABLE & SATELLITE CHANNEL
FREQUENCY OF WATCHING TELEVISION
Almost Everyday At least once a week
Less than once a week Not at all
FREQUENCY OF LISTENING
TO RADIO
Almost Everyday At least once a week
Less than once a week Not at all
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6.Assement Methodology
The MS JDNA was coordinated by Sphere
India in the month of September 2018.
The key objectives of the assessment are:
• Identify severely affected
geographic areas within 10
districts.
• Mapping critical needs in the
immediate aftermath of the
extreme event (30 – 90 days) for
each of the core sectors
• Provides general
recommendations to inform
strategic decisions on resource
mobilization and response
planning for medium to long term
a. Methodology • Training on JDNA
• Identification of Worst affected
district from Primary & Secondary
information’s
• JDNA Team building and
planning
• Identification of Worst affected
block/ Panchayat in consultation
to District EOC/Emergency
Officer/BDO /NGOs
• Team leader for the operation
and communication standards
• Field Assessments with FGD and
key informant interview’s
• Debriefing by all the team leaders
to the Sphere India IAG process
• Analysis and JDNA Reporting by
sector leads
• Report compilation
b. Tools • Household Data Collection tool
• Kobo Collect Android App
• FGD Forms
• Guidance note on use of the
formats
Week-1 Week-2 Week-3
1st WEEK
Conceptualization and Drafting
of Tools for Joint Detailed
Needs Assessment
2nd WEEK
Finalization of Tools with revisions
based on IAG sector group
consultation and discussions with
Sector Leads
3rd WEEK
Orientation Training for volunteers
& staff in 10 districts & Planning for
Assessment Roll-out at each district
4th WEEK
Conducted Households Surveys
FGD and Key Informant Interviews
& Compilation of Datas
5th WEEK
Collated inputs from sectoral leads
and Final JDNA Report Released
JDNA Timeline
Week-4 Week-5
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01
02
03
04
05
06
KERALA
PROCESS
JDNA
Sphere IAG Coordination
Meeting & Commissioning
of JDNA
Inviting interest from member organisations to lead sectors & appointment of Sector Leads
Participatory development pf multi sector assessment tool preparation, digitisation of tool in Kobo Collect app & Testing
Training of Volunteers on Household survey using Kobo Collect & FGD tool
Data Collection by Sector Lead organsiations & Volunteers
Data Analysis, Report compilation and Dissemination of JDNA Report with all key stakeholders
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7. Acknowledgement
On behalf of Sphere India, we are thankful to Government of Kerala for their support in
strengthening Inter-Agency coordination process in Kerala. We are also grateful to all the
District Collectors, PRI Members and other emerging local initiatives for their whole-hearted
involvement in the IAG strengthening & assessment process. We are especially appreciative
of the commitment and spirit of the volunteers and communities who participated in the
process of data collection exercise.
We would like to specially thanks all our sector leads organisations as mentioned in
Annexure for their role in the entire process of assessment from finalisation of tools, training
of volunteers, data analysis and report writing. We will also like to acknowledge the support
and technical inputs received for development of the assessment tools and facilitation of
the assessment process by Mr.Puneet Srivastava of Water Aid, Mr.Manish Jain of Islamic
Relief, Ms. Annie George & Ms. Charu Bist of UNDP, Dr. Meeta Mathur of ACF, Dr.Pavan
Murthy of WHO, Mr. Rama Rao of Child Fund India, Mr. Pabhat of Save the children, Mr.
Ajay & Mr. Rajendra of NCDHR, Mr. Abhilash of Plan India,
The consistent effort and support extended by other Sphere India members who
participated in the process with their valuable inputs is also highly appreciated. We are
thankful to IGSSS, Oxfam India, WaterAid, CARE India, Caritas India, World Vision India,
Child Fund India, Save the children India and Change Alliance for providing logistic and
other support for enabling participation of volunteers. A special thanks to all the local
partner NGOs and academic institutions without whose help it won’t have been possible to
consolidate this effort. Sphere India is grateful for their valuable contributions. It won’t be
possible to name all but we would like to thank all stake holders, advisors, professionals
who have contributed to the process.
Vikrant Mahajan CEO, Sphere India
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8. Annexures
S.L No
Name of the Sector
Name of the Lead Organisation
Name of the sector Lead Name of the Sector
coordinator
1 WASH Oxfam Andrew Naskar Domaki Bhutia
Utkarsh Pandey
2 Shelter CARE Eilia Jafar Madhusudan
3 Nutrition Save the children Dr. Antaryami Hari Balaji VR
4 Livelihood Christian Aid/RedR Sinu Chacko Manoranjan Behera
5 Health Doctors For You Dr.Ravikant Hari Balaji VR
6 Protection Caritas India Lee Macqueen Paul Praveen Suresh
7 Education Plan Tushar Kanti Dash Vivek Coelho
8 Disability Handicap International
Annie Patri Kennedy
9 Heritage ICOMOS Aparna Tandon Madhusudan
10 Communication Sphere India Vikrant Mahajan Praveen Suresh
11 Overall Coordination By
Sphere India, UNICEF
Vikrant Mahajan, Sarbjit Singh
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Supported By-
Locally Led By-
RAGADHARA
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Sphere India
Sphere India Secretariat
2 ND Floor, 95-National Park, Behind LSR College
Lajpat Nagar-4, New Delhi- 110024
E-mail: [email protected]
Web- www.sphereindia.org.in
Compiled & Designed By-
Manoranjan Behera