Virtual Business Incubator Impact Evaluation 2010, Baseline Survey
Tanzania, 2010
Created on
Dec 23, 2014
Last modified
Dec 05, 2019
Page views
21950
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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. Sewing material, umbrellas, gloves, handbags, purses, wallets, sunglasses, je (sewing_tot_pay)
Data file: bl_consumption
Overview
Valid:
416
Invalid:
0
Type:
Discrete
Start:
905
End:
914
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?
Other personal effects - Sewing material, umbrellas, gloves, handbags, purses, wallets, sunglasses, jewelry
Other personal effects - Sewing material, umbrellas, gloves, handbags, purses, wallets, sunglasses, jewelry
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 3 |
0.7%
|
|
| 00 | 10 |
2.4%
|
|
| 000 | 1 |
0.2%
|
|
| 05000 | 1 |
0.2%
|
|
| 1000 | 2 |
0.5%
|
|
| 10000 | 31 |
7.5%
|
|
| 100000 | 17 |
4.1%
|
|
| 100900 | 1 |
0.2%
|
|
| 1046000 | 1 |
0.2%
|
|
| 108000 | 1 |
0.2%
|
|
| 11000 | 2 |
0.5%
|
|
| 110000 | 1 |
0.2%
|
|
| 11500 | 1 |
0.2%
|
|
| 12000 | 7 |
1.7%
|
|
| 120000 | 2 |
0.5%
|
|
| 12500 | 1 |
0.2%
|
|
| 13000 | 2 |
0.5%
|
|
| 130000 | 1 |
0.2%
|
|
| 13500 | 1 |
0.2%
|
|
| 14000 | 1 |
0.2%
|
|
| 141000 | 1 |
0.2%
|
|
| 15,000 | 1 |
0.2%
|
|
| 15000 | 35 |
8.4%
|
|
| 150000 | 8 |
1.9%
|
|
| 1500000 | 2 |
0.5%
|
|
| 16000 | 1 |
0.2%
|
|
| 165001 | 1 |
0.2%
|
|
| 17000 | 1 |
0.2%
|
|
| 18000 | 7 |
1.7%
|
|
| 180000 | 1 |
0.2%
|
|
| 1800000 | 1 |
0.2%
|
|
| 19000 | 4 |
1%
|
|
| 2000 | 3 |
0.7%
|
|
| 20000 | 39 |
9.4%
|
|
| 200000 | 16 |
3.8%
|
|
| 22000 | 1 |
0.2%
|
|
| 220000 | 1 |
0.2%
|
|
| 230000 | 1 |
0.2%
|
|
| 2300000 | 1 |
0.2%
|
|
| 240000 | 1 |
0.2%
|
|
| 2500 | 2 |
0.5%
|
|
| 25000 | 10 |
2.4%
|
|
| 250000 | 2 |
0.5%
|
|
| 26000 | 2 |
0.5%
|
|
| 28000 | 4 |
1%
|
|
| 28500 | 1 |
0.2%
|
|
| 290000 | 1 |
0.2%
|
|
| 3000 | 9 |
2.2%
|
|
| 30000 | 37 |
8.9%
|
|
| 300000 | 8 |
1.9%
|
|
| 3000000 | 1 |
0.2%
|
|
| 32000 | 1 |
0.2%
|
|
| 34000 | 1 |
0.2%
|
|
| 3500 | 3 |
0.7%
|
|
| 35000 | 3 |
0.7%
|
|
| 350000 | 2 |
0.5%
|
|
| 360,000 | 1 |
0.2%
|
|
| 3700 | 1 |
0.2%
|
|
| 39000 | 1 |
0.2%
|
|
| 4000 | 3 |
0.7%
|
|
| 40000 | 15 |
3.6%
|
|
| 400000 | 1 |
0.2%
|
|
| 42000 | 1 |
0.2%
|
|
| 43000 | 1 |
0.2%
|
|
| 44000 | 1 |
0.2%
|
|
| 45000 | 3 |
0.7%
|
|
| 500 | 2 |
0.5%
|
|
| 5000 | 17 |
4.1%
|
|
| 50000 | 30 |
7.2%
|
|
| 500000 | 4 |
1%
|
|
| 51000 | 1 |
0.2%
|
|
| 52000 | 1 |
0.2%
|
|
| 53000 | 1 |
0.2%
|
|
| 55000 | 2 |
0.5%
|
|
| 56000 | 1 |
0.2%
|
|
| 6000 | 5 |
1.2%
|
|
| 60000 | 7 |
1.7%
|
|
| 600000 | 1 |
0.2%
|
|
| 6500 | 1 |
0.2%
|
|
| 65000 | 1 |
0.2%
|
|
| 7000 | 2 |
0.5%
|
|
| 70000 | 3 |
0.7%
|
|
| 720000 | 1 |
0.2%
|
|
| 8000 | 1 |
0.2%
|
|
| 80000 | 2 |
0.5%
|
|
| 9000 | 1 |
0.2%
|
|
| 90000 | 2 |
0.5%
|
|
| 95000 | 1 |
0.2%
|
|
| 9600 | 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.