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    Home / Central Data Catalog / TZA_2010_VBIIE-BL_V01_M_V01_A_PUF / variable [F1]
central

Virtual Business Incubator Impact Evaluation 2010, Baseline Survey

Tanzania, 2010
Reference ID
TZA_2010_VBIIE-BL_v01_M_v01_A_PUF
Producer(s)
Elena Bardasi, Markus Goldstein
Metadata
DDI/XML JSON
Created on
Dec 23, 2014
Last modified
Dec 05, 2019
Page views
37117
Downloads
921
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Data files
  • bl_consumption
  • bl_parental_history
  • bl_mental_health_marital
  • bl_labor
  • bl_housing
  • bl_household_savings
  • bl_household_assets
  • bl_group_participation
  • bl_education
  • bl_respondent_savings
  • bl_timeuserespond
  • enterprise2bl_roster5_1_1
  • enterprise3bl
  • enterprise4bl
  • enterprise5bl_products
  • enterprise8bl_busequip
  • enterprise9bl_labor_clients
  • enterprise10bl_top_products
  • enterprise11bl_prices_sales
  • enterprise12bl_marketing_finance
  • enterprise13bl_prof_rev_exp
  • enterprise14bl_chall_opp
  • enterprise15bl_harass1
  • enterprise16bl_harass2
  • enterprise17bl_support
  • enterprise18bl_access
  • enterprise19bl_training
  • enterprise20bl_conclusion
  • group_respondent
  • enterprise1bl_anonymized
  • tanzania_introduction_anonymized
  • enterprise6bl_respondent_inputs_anonymized
  • enterprise7bl_inputs_anonymized

2. Beds, chairs, tables, sofas, mirrors, carpets:- How much did your household p (furniture_tot_pay)

Data file: bl_consumption

Overview

Valid: 174
Invalid: 0
Type: Discrete
Start: 795
End: 804
Width: 10
Range: -
Format: character

Questions and instructions

Question pretext
Please list items used in the household in case you are asked about food consumption. List any item used by any household member in 7 days. Ask about all items listed in this form.
Literal question
How much did your household pay in total for (...) in the past 12 months?
Furniture - Beds, chairs, tables, sofas, mirrors, carpets
Categories
Value Category Cases
0 6
3.4%
00 14
8%
000 1
0.6%
10000 2
1.1%
100000 3
1.7%
1000000 1
0.6%
110000 1
0.6%
12000 1
0.6%
120000 4
2.3%
1200000 3
1.7%
130000 1
0.6%
140000 3
1.7%
1400000 2
1.1%
15000 1
0.6%
150000 12
6.9%
1500000 2
1.1%
160000 1
0.6%
170000 1
0.6%
18000 1
0.6%
180000 6
3.4%
199000 1
0.6%
20000 4
2.3%
200000 10
5.7%
2000000 1
0.6%
210000 1
0.6%
215000 1
0.6%
220000 3
1.7%
250000 9
5.2%
260000 1
0.6%
270000 1
0.6%
275000 1
0.6%
280000 1
0.6%
2800000 1
0.6%
28500 1
0.6%
290000 1
0.6%
30000 2
1.1%
300000 10
5.7%
3000000 1
0.6%
320000 1
0.6%
3450000 1
0.6%
350000 4
2.3%
36000 1
0.6%
360000 2
1.1%
40000 1
0.6%
400000 2
1.1%
450000 2
1.1%
474000 1
0.6%
482000 1
0.6%
50000 3
1.7%
500000 4
2.3%
55000 1
0.6%
550000 1
0.6%
6000 1
0.6%
60000 7
4%
600000 3
1.7%
62500 1
0.6%
65000 1
0.6%
680000 1
0.6%
70000 3
1.7%
700000 1
0.6%
720000 1
0.6%
75000 2
1.1%
76000 1
0.6%
80,000 1
0.6%
8000 1
0.6%
80000 2
1.1%
800000 1
0.6%
85000 2
1.1%
9000 1
0.6%
90000 1
0.6%
900000 1
0.6%
99 1
0.6%
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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