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    Home / Central Data Catalog / LSMS / TZA_2012_NPS-R3_V01_M / variable [F29]
lsms

National Panel Survey 2012-2013, Wave 3

Tanzania, 2012 - 2013
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Reference ID
TZA_2012_NPS-R3_v01_M
DOI
https://doi.org/10.48529/7vqv-5f71
Producer(s)
National Bureau of Statistics
Collection(s)
Living Standards Measurement Study (LSMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Apr 28, 2015
Last modified
Jan 30, 2020
Page views
389393
Downloads
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  • Study Description
  • Data Description
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  • Data files
  • AG_NETWORK
  • AG_SEC_01
  • AG_SEC_2A
  • AG_SEC_2B
  • AG_SEC_3A
  • AG_SEC_3B
  • AG_SEC_4A
  • AG_SEC_4B
  • AG_SEC_5A
  • AG_SEC_5B
  • AG_SEC_6A
  • AG_SEC_6B
  • AG_SEC_7A
  • AG_SEC_7B
  • AG_SEC_08
  • AG_SEC_9A
  • AG_SEC_9B
  • AG_SEC_9C
  • AG_SEC_10
  • AG_SEC_11
  • AG_SEC_12A
  • AG_SEC_12B
  • AG_SEC_A
  • COM_SEC_A1A2
  • COM_SEC_CB
  • COM_SEC_CC
  • COM_SEC_CD
  • COM_SEC_CE
  • COM_SEC_CF
  • COM_SEC_CF_ID
  • COM_SEC_CG
  • ConsumptionNPS3
  • FILTERS
  • HH_SEC_A
  • HH_SEC_B
  • HH_SEC_C
  • HH_SEC_D
  • HH_SEC_E
  • HH_SEC_F
  • HH_SEC_G
  • HH_SEC_H
  • HH_SEC_I
  • HH_SEC_J1
  • HH_SEC_J2
  • HH_SEC_J3
  • HH_SEC_J4
  • HH_SEC_K
  • HH_SEC_L
  • HH_SEC_M
  • HH_SEC_N
  • HH_SEC_O1
  • HH_SEC_O2
  • HH_SEC_P
  • HH_SEC_Q1
  • HH_SEC_Q2
  • HH_SEC_R
  • HH_SEC_S
  • HH_SEC_U2
  • HH_SEC_V
  • LF_NETWORK
  • LF_SEC_01
  • LF_SEC_02
  • LF_SEC_03
  • LF_SEC_04
  • LF_SEC_05
  • LF_SEC_06
  • LF_SEC_07
  • LF_SEC_08
  • LF_SEC_09
  • LF_SEC_10
  • LF_SEC_11A
  • LF_SEC_11B
  • LF_SEC_12
  • LF_SEC_13A
  • LF_SEC_13B
  • LF_SEC_A
  • HouseholdGeovars_Y3
  • NPSY3.PANEL.KEY
  • PlotGeovars_Y3
  • Y3_weights

Item Name (item_name)

Data file: COM_SEC_CF

Overview

Valid: 20852
Invalid: 0
Type: Discrete
Start: 26
End: 45
Width: 20
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Batteries 401
1.9%
Beans 401
1.9%
Beef 401
1.9%
Bread 401
1.9%
Buns 401
1.9%
Cabbage 401
1.9%
Canned milk/powder 401
1.9%
Carrot 401
1.9%
Casava (dry) 401
1.9%
Casava flour 401
1.9%
Casava fresh 401
1.9%
Charcoal 401
1.9%
Chicken (live) 401
1.9%
Cigarettes 401
1.9%
Citrus fruits 401
1.9%
Coconuts 401
1.9%
Cocoyams 401
1.9%
Cooking bananas 401
1.9%
Cooking oil 401
1.9%
Dagaa 401
1.9%
Eggs 401
1.9%
Firewood 401
1.9%
Fresh fish 401
1.9%
Fresh milk 401
1.9%
Goat meat 401
1.9%
Groundnuts 401
1.9%
Irish potatoes 401
1.9%
Kerosine 401
1.9%
Local brews 401
1.9%
Maize (flour) 401
1.9%
Maize (grain) 401
1.9%
Maize (green, cob) 401
1.9%
Maize grinding costs 401
1.9%
Mangoes 401
1.9%
Matches 401
1.9%
Millet (flour) 401
1.9%
Millet (grain) 401
1.9%
Onions 401
1.9%
Papaya 401
1.9%
Peas 401
1.9%
Rice (husked) 401
1.9%
Rice (paddy) 401
1.9%
Ripe bananas 401
1.9%
Salt 401
1.9%
Sorghum (flour) 401
1.9%
Sorghum (grain) 401
1.9%
Spinach 401
1.9%
Sugar 401
1.9%
Sweet potatoes 401
1.9%
Tea (dry) 401
1.9%
Tomatoes 401
1.9%
Yams 401
1.9%
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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