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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
37104
Downloads
920
  • 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. Hospitals, dispensaries, private doctors, dentistry (Excluding transport/food (hospital_tot_pay)

Data file: bl_consumption

Overview

Valid: 622
Invalid: 0
Type: Discrete
Start: 918
End: 927
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?
Modern medical care services- Hospitals, dispensaries, private doctors, dentistry (Excluding transport/food)
Categories
Value Category Cases
0 5
0.8%
00 5
0.8%
000 1
0.2%
02000 1
0.2%
10,000 1
0.2%
1000 5
0.8%
10000 46
7.4%
100000 33
5.3%
1000000 2
0.3%
11000 2
0.3%
12000 5
0.8%
120000 6
1%
1200000 2
0.3%
12500 1
0.2%
1300 1
0.2%
13000 3
0.5%
130000 1
0.2%
14000 2
0.3%
140000 2
0.3%
144000 1
0.2%
14500 1
0.2%
1500 1
0.2%
15000 23
3.7%
150000 14
2.3%
1500000 1
0.2%
16000 3
0.5%
160000 1
0.2%
1600000 1
0.2%
17000 1
0.2%
170000 1
0.2%
175000 1
0.2%
18000 4
0.6%
180000 1
0.2%
187000 1
0.2%
2000 10
1.6%
20000 69
11.1%
200000 25
4%
21000 2
0.3%
217000 1
0.2%
22000 2
0.3%
220000 1
0.2%
23000 1
0.2%
24000 2
0.3%
240000 1
0.2%
2500 4
0.6%
25000 10
1.6%
250000 3
0.5%
26000 1
0.2%
27000 2
0.3%
28000 2
0.3%
290000 1
0.2%
296000 1
0.2%
3000 11
1.8%
30000 56
9%
300000 14
2.3%
33000 1
0.2%
34000 2
0.3%
340000 1
0.2%
35000 3
0.5%
36000 1
0.2%
360000 1
0.2%
38000 2
0.3%
4000 2
0.3%
40000 22
3.5%
400000 5
0.8%
41000 1
0.2%
42000 1
0.2%
43000 1
0.2%
4500 1
0.2%
462000 1
0.2%
47000000 1
0.2%
48000 1
0.2%
500 2
0.3%
5000 32
5.1%
50000 63
10.1%
500000 6
1%
53500 1
0.2%
5400 1
0.2%
54000 1
0.2%
55000 1
0.2%
56000 1
0.2%
6000 6
1%
60000 14
2.3%
600000 3
0.5%
62000 1
0.2%
6500 1
0.2%
65000 1
0.2%
7000 5
0.8%
70000 7
1.1%
700000 1
0.2%
7500 1
0.2%
75000 1
0.2%
8000 8
1.3%
80000 12
1.9%
800000 1
0.2%
820000 1
0.2%
85000 1
0.2%
9000 3
0.5%
940000 1
0.2%
99 1
0.2%
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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