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    Home / Central Data Catalog / TZA_2009-2012_CCT_V01_M / variable [F17]
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
61749
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 is the total area you own? AREA UNIT (T5CQ4b)

Data file: r1_HHData

Overview

Valid: 1502
Invalid: 262
Minimum: 1
Maximum: 1
Type: Discrete
Decimal: 0
Start: 234
End: 234
Width: 1
Range: 1 - 2
Format: Numeric

Questions and instructions

Question pretext
Enabled if T5cQ3 = [1]
Literal question
What is the total area you own? AREA UNIT
Je, ni nini ukubwa wa eneo linalomilikiwa na kaya hii kwa ujumla? KIPIMO CHA ENEO
Categories
Value Category Cases
1 Acre 1502
100%
2 Hectare 0
0%
Sysmiss 262
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.
Interviewer instructions
You will find that some respondents are not familiar with units of area measurement such as hectares or acres. If you feel the respondent is not comfortable with these units then do not force him/her to use them. Rather ask him/her to
indicate the size by comparing to (i) a football field (which is around 1 acre, but do check that the local football field is standard) or (ii) anything else that can be shown to you and from which you could make an area estimate yourself. Your
supervisor will train you on estimating plot sizes. Once you have established the first plot size you can use this to calculate the others as a multiple of them. E.g. The ‘plot close to John’s house’ is 2 times bigger than the ‘plot in the
valley’.
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