Virtual Business Incubator Impact Evaluation 2010, Baseline Survey
Tanzania, 2010
Created on
Dec 23, 2014
Last modified
Dec 05, 2019
Page views
47150
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- 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. Prescribed medicine, non - prescribed medicine:- How much did your household (medicine_tot_pay)
Data file: bl_consumption
Overview
Valid:
546
Invalid:
0
Type:
Discrete
Start:
939
End:
948
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: medications - Prescribed medicine, non-prescribed medicine
Modern medical care: medications - Prescribed medicine, non-prescribed medicine
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 6 |
1.1%
|
|
| 00 | 10 |
1.8%
|
|
| 000 | 2 |
0.4%
|
|
| 00000 | 1 |
0.2%
|
|
| 000000 | 1 |
0.2%
|
|
| 100 | 1 |
0.2%
|
|
| 1000 | 11 |
2%
|
|
| 10000 | 61 |
11.2%
|
|
| 100000 | 20 |
3.7%
|
|
| 100300 | 1 |
0.2%
|
|
| 11000 | 3 |
0.5%
|
|
| 110000 | 2 |
0.4%
|
|
| 12000 | 7 |
1.3%
|
|
| 120000 | 3 |
0.5%
|
|
| 1200000 | 1 |
0.2%
|
|
| 13000 | 1 |
0.2%
|
|
| 144000 | 2 |
0.4%
|
|
| 1500 | 5 |
0.9%
|
|
| 15000 | 21 |
3.8%
|
|
| 150000 | 3 |
0.5%
|
|
| 1500000 | 1 |
0.2%
|
|
| 16000 | 3 |
0.5%
|
|
| 17000 | 1 |
0.2%
|
|
| 18000 | 2 |
0.4%
|
|
| 180000 | 1 |
0.2%
|
|
| 20,000 | 1 |
0.2%
|
|
| 2000 | 23 |
4.2%
|
|
| 20000 | 56 |
10.3%
|
|
| 200000 | 5 |
0.9%
|
|
| 21000 | 2 |
0.4%
|
|
| 22000 | 3 |
0.5%
|
|
| 24000 | 2 |
0.4%
|
|
| 2500 | 3 |
0.5%
|
|
| 25000 | 11 |
2%
|
|
| 26000 | 2 |
0.4%
|
|
| 266000 | 1 |
0.2%
|
|
| 28000 | 1 |
0.2%
|
|
| 280000 | 1 |
0.2%
|
|
| 288000 | 1 |
0.2%
|
|
| 29000 | 1 |
0.2%
|
|
| 3000 | 14 |
2.6%
|
|
| 30000 | 39 |
7.1%
|
|
| 300000 | 1 |
0.2%
|
|
| 31000 | 1 |
0.2%
|
|
| 35000 | 5 |
0.9%
|
|
| 350000 | 2 |
0.4%
|
|
| 36000 | 1 |
0.2%
|
|
| 36500 | 1 |
0.2%
|
|
| 38000 | 1 |
0.2%
|
|
| 400 | 1 |
0.2%
|
|
| 4000 | 7 |
1.3%
|
|
| 40000 | 19 |
3.5%
|
|
| 400000 | 2 |
0.4%
|
|
| 45000 | 2 |
0.4%
|
|
| 46000 | 1 |
0.2%
|
|
| 47000 | 1 |
0.2%
|
|
| 5000 | 51 |
9.3%
|
|
| 50000 | 43 |
7.9%
|
|
| 500000 | 4 |
0.7%
|
|
| 5500 | 1 |
0.2%
|
|
| 55000 | 1 |
0.2%
|
|
| 600 | 2 |
0.4%
|
|
| 6000 | 13 |
2.4%
|
|
| 60000 | 6 |
1.1%
|
|
| 600000 | 4 |
0.7%
|
|
| 6500 | 1 |
0.2%
|
|
| 65000 | 1 |
0.2%
|
|
| 6900 | 1 |
0.2%
|
|
| 700 | 1 |
0.2%
|
|
| 7000 | 7 |
1.3%
|
|
| 70000 | 10 |
1.8%
|
|
| 720000 | 1 |
0.2%
|
|
| 8000 | 7 |
1.3%
|
|
| 80000 | 8 |
1.5%
|
|
| 9200 | 1 |
0.2%
|
|
| 9400 | 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.