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    Home / Central Data Catalog / TZA_2009-2012_CCT_V01_M / variable [F4]
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
61872
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

Consumption item label language 2 (ItemLabel2)

Data file: r1_ConsumptionItem

Overview

Valid: 60
Invalid: 0
Type: Discrete
Start: 85
End: 164
Width: 80
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
1 bar of soap as in the picture 1
1.7%
1 battery National/Panasinic (big size) 1
1.7%
1 bottle of 350ml fanta 1
1.7%
1 coconut 1
1.7%
1 kg of dried beans 1
1.7%
1 kg of maize flour (dona) 1
1.7%
1 kg of sugar 1
1.7%
1 litre of cooking oil (equivalent to 2 beer or 3 soda bottles) 1
1.7%
1 litre of fresh milk (equivalent to 2 beer or 3 soda bottles) 1
1.7%
1 litre of kerosene 1
1.7%
1 pot of 25cc lotion as in this picture 1
1.7%
1 single box of matches as in the picture 1
1.7%
1 tube of toothpaste as in the picture 1
1.7%
A cup of tea with milk at a local cafe 1
1.7%
A full meal of rice and meat at a local restaurant 1
1.7%
An egg of a local chicken 1
1.7%
Batteries 1
1.7%
Cellphone top-up cards and internet 1
1.7%
Ceremonies (Contributions to wedding parties and funerals, dowries paid out) 1
1.7%
Charcoal/coal 1
1.7%
Cigarettes, tobacco, snuff 1
1.7%
Cleaning materials, household services (Detergents (not laundry soap), insectic 1
1.7%
Clothing and footwear for men and boys 15 years and over (Khanzus, hats, trouse 1
1.7%
Clothing and footwear for women and girls15 years and over (Khanga, kitenge, sa 1
1.7%
Clothing for children under 15 years (Trousers, dresses, skirts, shirts, blouse 1
1.7%
Contributions to religious and other organizations () 1
1.7%
Domestic services (Payments given to domesitc workers) 1
1.7%
Education of children in BOARDING SCHOOL (School fees, uniform, equipment) 1
1.7%
Entertainment and recreation (Books (not school books), magazines, newspapers, 1
1.7%
Firewood 1
1.7%
Furniture (Beds, chairs, tables, sofas, mirrors, carpets) 1
1.7%
Household durables, appliances (Stoves (anytype), cookers, refrigerator, fan, a 1
1.7%
Insurance (Car, medical, life insurance) 1
1.7%
Just one of the maandazi on this plate 1
1.7%
Kerosene, paraffin 1
1.7%
Kitchenware (Pots, pans, bowls, dishes, utensils, knives) 1
1.7%
Laundry soap, toilet soap 1
1.7%
Linen, bed/mattress, cloths (Sheets, blankets, pillows, towels, mosquito nets, 1
1.7%
Matches, lighters, candles, lamp/stove wicks 1
1.7%
Modern medical care services (Hospitals, dispensaries, private doctors, densitr 1
1.7%
Modern medical care: medications (Prescribed medicine, non-prescribed medicine) 1
1.7%
Other household wares (Torches, bulbs, lanterns, baskets, brooms, brushes) 1
1.7%
Other personal effects (Yarn and sewing material,umbrellas, gloves, handbags, p 1
1.7%
Personal care (Toilet soap, toilet paper, toothpaste, hair products, razor, pe 1
1.7%
Repairs for assets and durables (Repairs to house, car, motorbike, bicycle, rat 1
1.7%
Taxes (Revenue tax, development levy or village tax, vehicle tax. Exclude taxe 1
1.7%
This bunch of bananas 1
1.7%
This bundle of spinach 1
1.7%
This chicken in the picture 1
1.7%
This dried fish 1
1.7%
This fungu of 200g of dried dagaa 1
1.7%
This heap of 1 kg of beef 1
1.7%
This heap of onions 1
1.7%
This heap of sweet potatoes 1
1.7%
This heap of tomatoes 1
1.7%
This kisadolini of charcoal in the picture 1
1.7%
This piece of cassava in the picture 1
1.7%
Traditional medical care (Traditional healers, traditional medicine) 1
1.7%
Transport, Petrol, oil, fares for transport (bus, mini-bus, taxi, boat). Inclu 1
1.7%
Utilities (Electricity, water, garbage disposal, telephone landline) 1
1.7%
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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