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    Home / Central Data Catalog / TZA_2009-2012_CCT_V01_M / variable [F55]
central

Community-Based Conditional Cash Transfer Program Impact Evaluation 2009-2012, Baseline, Midline, and Endline surveys

Tanzania, 2009 - 2012
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Reference ID
TZA_2009-2012_CCT_v01_M
Producer(s)
David K. Evans, Katrina Kosec
Metadata
DDI/XML JSON
Created on
Dec 05, 2019
Last modified
Dec 05, 2019
Page views
61637
Downloads
660
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • r1_ConsumptionItem
  • r1_CSCVillage
  • r1_District
  • r1_FoodItem
  • r1_FoodItemUnit
  • r1_FoodUnit
  • r1_HH
    respondents
  • r1_HHAsset
  • r1_HHChild
  • r1_HHChildActivity
  • r1_HHChildAsset
  • r1_HHConsData
  • r1_HHCredit
  • r1_HHData
  • r1_HHEnterprise
  • r1_HHFoodConsData
  • r1_HHGPSData
  • r1_HHLivestock
  • r1_HHMember
  • r1_HHOtherDescription
  • r1_HHPriceData
  • r1_HHPrivTransfers
  • r1_HHSampleRecord
  • r1_HHShock
  • r1_HHTransGroup
  • r2_CCTHHmemberList
  • r2_CCTlisting
  • r2_CHH_LastPay
  • r2_CHHTrachingForm
  • r2_ClusterMaster
  • r2_CMC_previsit
  • r2_CMC_reftables
  • r2_Community
  • r2_ConsItem
  • r2_ConsumptionItem
  • r2_crops
  • r2_Districts
  • r2_Dropped_Households
  • r2_Facilities
  • r2_FoodItem
  • r2_FoodItem_reftables
  • r2_FoodItemUnitsConvertions
  • r2_FoodUnit
  • r2_FoodUnit_reftables
  • r2_HHAsset
  • r2_HHChild
  • r2_HHChildActivity
  • r2_HHChildAsset
  • r2_HHConsData
  • r2_HHCredit
  • r2_HHData
  • r2_HHEnterprise
  • r2_HHFoodConsData
  • r2_HHLivestock
  • r2_HHMember
  • r2_HHMember_reftables
  • r2_HHOtherDescription
  • r2_HHOtherProjects
  • r2_HHPriceData
  • r2_HHPrivTransfer
  • r2_HHQxSpecificComments
  • r2_HHShocks
  • r2_HHTransGroup
  • r2_Interviewers
  • r2_ItemPrice
  • r2_medicines_inTZ
  • r2_None
  • r2_PayAllocation
  • r2_PrevHHData
  • r2_RegionDistricts
  • r2_time
  • r2_TrackingForm
  • r2_CaloricRequirements
  • r3_Assistance
  • r3_Attendance
  • r3_CCTHHmemberList
  • r3_ClusterMaster
  • r3_clusterReport
  • r3_CMCElections
  • r3_COMMENTS_community
  • r3_COMMENTS_health
  • r3_COMMENTS_household
  • r3_COMMENTS_school
  • r3_Committees
  • r3_Community
  • r3_facilities
  • r3_FoodItem
  • r3_FoodItemUnitsConvertions
  • r3_FoodUnit
  • r3_Grade
  • r3_HealthFacility
  • r3_HealthVill
  • r3_HHAsset
  • r3_HHConsDataCatA
  • r3_HHConsDataCatB
  • r3_HHConsDataCatC
  • r3_HHConsDataCatD
  • r3_HHConsDataCatE
  • r3_HHCredit
  • r3_HHData
  • r3_HHEnterprise
  • r3_HHLivestock
  • r3_HHMember
  • r3_HHPrivTransfer
  • r3_HHShocks
  • r3_HHTransGroup
  • r3_ItemPrices
  • r3_Link_HH
  • r3_Link_Ind
  • r3_NationalExams
  • r3_PayAllocation
  • r3_RegionDistricts
  • r3_RespondentEdu
  • r3_RespondentGov
  • r3_RespondentHealth
  • r3_School
  • r3_SchoolVill
  • r3_Teachers
  • r3_TRANSLATIONS_community
  • r3_TRANSLATIONS_health
  • r3_TRANSLATIONS_household
  • r3_TRANSLATIONS_school
  • r3_VGrecords
  • r3_Years

What do you dislike most about CB-CCT program? (TASAFDislike)

Data file: r2_HHData

Overview

Valid: 757
Invalid: 0
Type: Discrete
Start: 890
End: 971
Width: 82
Range: -
Format: character

Questions and instructions

Literal question
What do you dislike most about CB-CCT program?
Je, ni kitu gani kinakuchukiza zaidi kuhusu mpango wa uhawilishaji (CB-CCT)?
Categories
Value Category Cases
CMC members are not paid for the task they are given 1
0.1%
Cutting off the payments without any notice 1
0.1%
Deduction of money for the claim of transport costs to CMCs 1
0.1%
Deductiond made without any notice 1
0.1%
Deductions made 1
0.1%
Deductions made on money 1
0.1%
Deductions made without notice 1
0.1%
Failure to receive the money for the last two months 1
0.1%
It takes longer to get this money 1
0.1%
None 1
0.1%
Nothing 49
6.5%
Once a child has competed schooling the help stops 1
0.1%
The derayal of the money 1
0.1%
The money given cannot solve all the problems we face 1
0.1%
The money given is not enough 1
0.1%
The money received 1
0.1%
The money received is little 3
0.4%
The money received is little compared to the basic needs 1
0.1%
The money received is not enough 1
0.1%
ammount given is not enough for needs 1
0.1%
amount given too small 1
0.1%
amount not enough 1
0.1%
amount too small 1
0.1%
amout too small 1
0.1%
cash transfer terminated without notice 1
0.1%
clinics are too far 1
0.1%
cmc leadership not good 1
0.1%
cmc deducted students' money, they are giving only 3750 1
0.1%
condition of attending clinic for check ups 1
0.1%
deduction of funds 2
0.3%
deduction of funds with no reason 1
0.1%
deduction of funds without notice 2
0.3%
deduction of payment without valid reason 1
0.1%
deduction of the given funds 1
0.1%
deductions as fare for CMC members 1
0.1%
deductions of funds given. 1
0.1%
deductions of payments 1
0.1%
deductions on payments 1
0.1%
deductions while we fulfil all conditions 1
0.1%
deductions without explanation 1
0.1%
deductions without reason 1
0.1%
deductions without reason given 1
0.1%
delay in payments 1
0.1%
delay of payments 1
0.1%
delayed payments 1
0.1%
delayed transfer/payments 1
0.1%
delaying in payment 1
0.1%
delaying payments 1
0.1%
delays in funds transfer/payments 1
0.1%
delays in payment 1
0.1%
delays in payments 1
0.1%
delays of transfer/payments 2
0.3%
discontinuation of funding 1
0.1%
discrimination 1
0.1%
discrimination for some other elders 1
0.1%
droped from the project withour explanations 1
0.1%
dropped without explanation 1
0.1%
elders being terminated without explanation. 1
0.1%
envy that we are receiving money 1
0.1%
fedha hazitufikii 1
0.1%
finding 30,000/= on receipt but I'm given 15,000/=. 1
0.1%
funds are not enough 1
0.1%
funds are not given in a proper time/sequence 1
0.1%
funds deduction for some beneficiaries 1
0.1%
funds deductions 2
0.3%
funds give too little 1
0.1%
funds given are too little and if possible should be increased 1
0.1%
funds given is inssufficient for the actual needs 1
0.1%
funds given is inssufficient for the actual needs. 1
0.1%
funds given is inssuffient for needs 1
0.1%
funds given is inssuficient 1
0.1%
funds given is too little 1
0.1%
funds given not sufficient 1
0.1%
funds given not sufficient to needs 1
0.1%
funds given too little for needs 1
0.1%
funds given too low for actual needs 1
0.1%
funds too little for needs 1
0.1%
funds transfer delays and unknown deductions 1
0.1%
hachukii chochote 1
0.1%
hakuna 11
1.5%
having no fixed paying date 1
0.1%
hawana mpangilio mzuri wa kugawa pesa 1
0.1%
hela za walengwa ni ndogo, kwahiyo waongeze kidogo 1
0.1%
inssufficient funds given 1
0.1%
insufficient funds for household needs 1
0.1%
kutolewa pesa kidogo 1
0.1%
kuwachangia posho cmc 1
0.1%
late payments 1
0.1%
long delays in being funded 1
0.1%
long period between payments 1
0.1%
long time between payments 1
0.1%
member droped out without valid reason 1
0.1%
money is not enough 1
0.1%
money is too little 1
0.1%
money not enough 2
0.3%
money too little 8
1.1%
no fixed pay date 1
0.1%
none 325
42.9%
none. 1
0.1%
not being given money every month 1
0.1%
nothing 231
30.5%
pay station too far for old people 1
0.1%
payments are too far apart 1
0.1%
payments delays 1
0.1%
payments far apart 1
0.1%
payments followed far away 1
0.1%
payments too far apart 1
0.1%
pesa ni kidogo sana 1
0.1%
project segregates some of elders 1
0.1%
some get more money than others 1
0.1%
some of us were given less instalments than others 1
0.1%
some other needy old people are not included in the project 1
0.1%
sometimes we are not being given money as required as sometimes we are given less. 1
0.1%
spouse not included in programme 1
0.1%
staff not honest 1
0.1%
suspension without reason 1
0.1%
taking a long time to get money 1
0.1%
termination from project without explanation 1
0.1%
termination of transfer without explanation. 1
0.1%
the programme is not opperating at equal standards 1
0.1%
too little funds given 1
0.1%
too little money 5
0.7%
too long delays in fund giving 1
0.1%
uneven time spacing between payments 1
0.1%
unfairness of the project 1
0.1%
we were dropped from the programme 1
0.1%
when beneficiary is not there, is the monet taken by cmc members or returned? 1
0.1%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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