ACUTE FOOD INSECURITY ANALYSIS WORKSHEET (Draft 39)Analysis
AREA: _Dadu DISTRICT______Date of Analysis: ____20/4/2015 Valid
For: [ ]CURRENT _____________ [ ]PrOJECTED ____________ (which
area) (from when to when) (from when to when)
mSection A: Area and HH Analysis Group Definitions
STEP 1: Area Description, HH Analysis Group Definitions, and
Map
Brief Area and Livelihood DescriptionINTRODUCTIONDistrict Dadu
takes its name from Dadu City and came on Map as District during
April, 1931. During December, District Health Office, Dadu, was
established in the year 1989.
BOUNDRIES1. East.District Naushahroferoz2. West District Khuzdar
& Qalat3. North..District Larkana & Qambar Shahdodkot4.
South.. District Jamshoro
Total Population 1,726,390 (DC1 R2)Total Area 7866 Sq
kmHealthDHQ 1THQ 4RHC 50BHU 52OTHER HEALTH FACILITIES 28UNDER PPHI
CONTROL 49(DC 2 R2)
LIVELIHOOD: CULTURE AND OCCUPATIONLife style of people in this
District is very different from rural area. Most of the people are
directly or indirectly related to Agriculture and livestock for
domestic and commercial purpose . People of towns also deal in
trade and business.
Major Crops: Rice, Wheat,Sugercane and Cotton
Livestock/holding: Domestic purpose & for commercial
purpose.
Estimated # of People in Area (specify source of pop.
data)CurrentProjected (with assumed in and out migration)
1,726,390 (DC1 R2)
Chronic Food Insecurity Level for the area (if
available)Moderately Food Insecure (or stressed) (Phase III,
Yellow)
HH Analysis Group (HAG) Definitions Identify groups of
relatively homogenous households with regard to their food security
situation (consider contributing factors and likely outcomes).
These HH Analysis Groups will be analyzed independently for their
respective Phase Classifications. The number of groups will depend
upon analytical needs, data availability and desired level of
precision
Label of HAGBrief Description of Each HAG
[Specify Source(s): ]
# of people in HAG% of pop in HAG
A
B
C
D (...)
Section B: Classification Conclusions and Justification
STEP 4: HH Analysis Group (HAG) Classification
Conclusions--Classify each HH Analysis Group and estimate number
and percentage of people in applicable Phases based on convergence
of evidence (from STEP 3). If a single HH Analysis Group is
determined to have 2 or more distinct Phases of Household Groups,
then indicate partial percentages and numbers).
Label of HAGCurrent SituationProjected Situation
Phase # of People and % of total popSummary JustificationPhase #
of People and % of total popSummary Justification
A
B
C
D ()
STEP 7: Risk Factors to Monitor (List key risk factors to
monitor and the monitoring period in brackets)
1. ________________________ ( _________) 2.
_____________________ ( _________) 3. ________________________ (
_________) 4. _______________________ ( _________)
STEP 5: Phase Classification Conclusions Combine different HH
Analysis Groups with the same Phase. If analysis is Area-based
only, complete for only the one applicable Phase, and for estimated
# of people and % use the cumulative number of people in the Area
Phase plus people in worse Phases.
PhaseCurrent Situation[Confidence Level for Overall Analysis:
]Projected Situation[Confidence Level for Overall Analysis: ]
Estimated pop or range% of total pop or rangeJustification(key
evidence and rationale of directly measured or inferred outcomes:
food consumption, livelihood change, nutritional status, and
mortality)Estimated pop or range% of total pop or
rangeJustification(evidence and rationale of directly measured or
inferred outcomes: food consumption, livelihood change, nutritional
status, and mortality)
1172639
10%-City area -Business community-Landlords with land holdings,
etc.-Industrialists, etc.
281140347%-Salaried people and slightly affected by Nutrition
and food consumption problems.
3431595
25%Middle Class people including salaried people and small
business community
424169514%Population living in severely rain fad and
salt-affected areas. Desert and rangeland covering
569056
4%Extremely Drought and food availability problems, very High
IMR and severe Wasting Rate.
STEP 6: Humanitarian Assistance Impact (e.g.
humanitarian/disaster relief)--Write a brief statement generally
describing the type, timing and coverage of assistance to the
extent possible. Assess effects of assistance on Phase
classification
PeriodWhat are the main humanitarian assistance
programmes?Without these programmes would the Area Phase likely be
worse than classified?
CurrentSindh Government supports poor females of rural areas
through Benazir Income Support ProgramSeveral INGO & NGO are
also working on Health, Nutrition, WASH .Yes
ProjectedYes/No
Section C: Causes Complete one for Area (reflecting the worst
affected households) or for each HH Analysis Group in Phase 3 or
higher
STEP 8: Limiting Factors Matrix Specify if for Current or
Projected: __________________ HH Analysis Group:
_____________________________
Based on guiding question, indicate the degree to which
Availability, Access or Utilization is a limiting factor to people
being food secure the short term Shade/Colour that cell accordingly
and write brief evidence justification on the cause and effects
inside of the cell. Note gender issues and differences where
relevant
Food AvailabilityGuiding Question: Is sufficient food actually
or potentially physically present?
(Consider national and local production, imports, markets, and
natural source; and note in the justification as relevant)Food
AccessGuiding Question: Are households able to sufficiently access
food?
(Consider and aspects of physical, financial, and social access,
and note in the justification as relevant).Food UtilizationGuiding
Question: Are households making effective use of food which they
have access to?
(Consider aspects of preferences, preparation, storage, and
water; and note in the justification as relevant).
Extreme Limiting FactorNo(write brief justification)
No(write brief justification)
No(write brief justification)
Major Limiting FactorYes, Low wages rate & high inflation
specifically for foodLow purchasing power Increase in
unemploymentGrowth in crimes)
Minor Limiting Factoryes Lack of rain in Kachho and annual
floods in Kacha area of DaduDecrement in (wheat, rice, production
as compare to previous year and Decrement in(animal meat, fish,
poultry) livestock as compare to previous yearYes, but not quite
enough and/or erratic supply(write brief justification)
Yes, but not quite enough and/or erratic supply(write brief
justification) Yes, The sanitation conditions are relatively poor
in district Dadu & Low female literacy rate Unsafe drinking
water but not /or erratic supply(write brief justification)
Not a Limiting FactorYes(write brief justification)
Yes(write brief justification)
Yes(write brief justification)
Section D: Evidence Documentation and Analysis
STEP 3: Key Evidence and Conclusions for Contributing Factors
and Outcomes Document key evidence statement. For each key evidence
statement: (i) Indicate Document Code (DC) to link to the Evidence
Repository Template; and (ii) Specify reliability score for each
evidence statement: 1=somewhat reliable, 2= reliable, 3=very
reliable. For example: Market prices increased 200% as compared to
same time last year (DC=1, R=2) Write summary element conclusion
statements and note difference between and within HAGs and gender
differences as relevant. For outcome elements, when possible
determine the indicative Phase for Area or HAGs.
Contributing FactorElementsCURRENTPROJECTED
HazardsandVulnerabilityImpact of the heavy rains fall in April
2015 caused around 15% damaged standing wheat crop.Indus RiverKhir
thar rangeDadu canalKachhi jii paty nor wahDrought in Kacho
areaLack of rain fall (DC8 R1 Phase III)
CONCLUSION:Based on the above indicators the district falls
under phase 2 because standing crop was damaged due to natural
disaster.
Food AvailabilityCrop Production: - Wheat (2015) = 223.2(000 MT)
- Rice (2014) = 143.1 (000 MT) (D3 R3 Phase III)
Livestock Production: - Animal meat (000 MT ) = 6,411 - Fish
(000 MT) = 6,211 - Poultry (000 MT) = 1969 (DC4 R3 Phase III)
CONCLUSION: There seems to be a decrease in wheat, and Rice
production (-14.9%) and (-8.1%) In livestock, decrease of 4.3%,
20.2% and 21.3% has been noted in meat, fish and poultry,
respectively (Phase 2).
Food AccessCash Crops:Cotton: 6,9972 M TonsSugarcane: 2,99544 M
Tons(DC3 R3 Phase I)
Price of Staple food:Wheat: Rs 34/kgRice: Rs 20/kg(DC3 R3 Phase
I)
Market Access feasible:Daily wages labor Rs. 384/daySkilled
labor Rs. 700/day Poor purchasing power of people of Dadu20%
population employed in provincial and Federal Govt(DC10 R1 Phase
I)
CONCLUSION:The per capita income in Dadu is between Rs. 9,000/-
and Rs. 16,000/-per month, which, according to the food security
perspective, is considered very lowOne HH of any un-skilled labour
earns PKR 384 per day in urban area while in rural area unskilled
labour earn under PKR 200 per day. One third of the income of
average HH goes to purchase merely main staple food items.
Food UtilizationincludingWaterDrinking Water
86% of HH have access to improved source of drinking water
8% of HHs in Dadu are have access to tap water,
57% to hand pumps, 21% to motor pumps and
7% to dug wells. (DC5 R3 Phase II)
Access to toilet90% of HH have access to toilets36% HH use flush
toilets 54% use non flush toilets(DC5 R3 Phase I)
Overall literacy rate is 59%Female literacy rate 49%(DC6 R1
Phase I)
CONCLUSION:The sanitation conditions are relatively poor in
district Dadu & Low female literacy rate Unsafe drinking water
food utilization status is little bit un-stable
StabilityWheat Stores: Sufficient quantity of wheat stored both
at HH of rural area, government stores, &local market but
purchasing power of employees and labour is poor.(DC8 R2 Phase
II)
CONCLUSION:Majority of the population being under the category
of less earners (small Farmer daily wage labourer etc.) they have
limited food storage.
99999999
OutcomeElementsCURRENT
PROJECTED
Food ConsumptionHAG A:HAG B:HAG C: HAG D:AREA: 3HAG A:HAG B:HAG
C:HAG D:AREA:
Mean Food Consumption of 39.9 placing the division of Hyderabad
on the borderline. With reference to food consumption, the
condition of Dadu is worse than Hyderabad. Hence, the people of
Dadu are highly food insecure, this indicator shows that population
of district dadu is highly food insecure and requires immediate
action.(DC9 R3 PhaseIII)
CONCLUSION:Situation indicates towards actions in order to get
rural labour population out of the risk situation.
Livelihood ChangeHAG A:HAG B:HAG C: HAG D:AREA: 2HAG A:HAG B:HAG
C:HAG D:AREA:
Coping Strategies:Self-management, Reversible coping strategies.
Assistance From Government and Non Governmental organizations. (DC8
R2 Phase II)
CONCLUSION:Reversible coping strategies, During hard situation
people seek assistance/loans from various Govt, NGOs & INGOs.
Self-management enables people to deal with the situation.
Remittances from foreign countries is very important source for
coping strategy. However, this source may decrease due to political
un instability. Hence, people are not ready to deal with any
major/urgent disaster.Borrowing food, taking loans and eating less
qualitative food, have less preference for food.
Nutritional StatusAREA: AREA:
SAM: 4.2% GAM: 14.3%(DC9 R3 Phase 3)
Wasting Rate 13.6(DC10 R3 Phase 3)
CONCLUSION:The borderline ratio for GAM is 14.3% as per WHO
standards and immediate actions are required.
MortalityAREA: AREA:
IMR: 74 (DC10 R2 Phase 4)
CONCLUSION:The data shows that infant mortality is high in the
district.
STEP 2: Evidence Repository
Document Code To link to template in Step 3 Order is not
importantReference Multiple pieces of evidence in Step 3 can link
to a single source. Raw Evidence When possible, insert raw evidence
(e.g. graph, image, table, quote).
SourceDate
DC1Beauro of Statistics2015Beauro of Statistics estimated
population of 2015
DC2District Health DepartmentJan, 2014District health
Department, Dadu
DC3Crop reporting services2015Crop Reproting Service Center
(CRSC) Department of Agricultur Extention Hyderabad Government of
Sindh
DC4Agriculture statistic of Sindh20151- Agriculture statistic of
Sindh 2009 2- Development Statistics 2011 Bureau of Statistics
Government of Sindh
DC5PSLM2012-13Pakistan Social and Living Standards measurement
Surey (PSLM) 2012-13
DC6PSLM2012-13Pkaistan Social and Living Standards Measurement
Survey 2012-13 and 2010-2011 (average mean of 2012-13 and 2010-11
is used to determind the figure for 2012 because there is no
district wise data available for year 2012)
DC 7Education Department2013Education Department Dadu
DC8Local MarketMarch, 2014Local Market
DC9FSA - 2013 WFP2013FSA - 2013 - WFP
DC10
Bureau of Statistics & Govt. Of sindh20111- Bureau of
Statistics Planning & Development Department, Sindh
(sindhbos.gov.pk/health) District wise data not available 2-
National Nutrition Survey 2011