Virtual Business Incubator Impact Evaluation 2010, Baseline Survey
Tanzania, 2010
Created on
Dec 23, 2014
Last modified
Dec 05, 2019
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46224
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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
Type of house work (hs5bq1_housewk)
Data file: bl_timeuserespond
Overview
Valid:
1919
Invalid:
0
Type:
Discrete
Start:
60
End:
78
Width:
19
Range:
-
Format:
character
Questions and instructions
Question pretext
Please trace out the activities of the female respondent only on a typical weekday from the time she wakes up for a 24 hour period. Time slot will be in hours of a day (example from 8 a.m. to 9 a.m.). The last time slot filled in should be when the household member is sleeping. Please see below for Activity, Household and Paid Work Codes.
Start by asking when the women wakes up in the morning and then ask about her routine/schedule.
Start by asking when the women wakes up in the morning and then ask about her routine/schedule.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 63 |
3.3%
|
|
| 00 | 2 |
0.1%
|
|
| 01 | 1 |
0.1%
|
|
| 02 | 6 |
0.3%
|
|
| 03 | 5 |
0.3%
|
|
| 04 | 46 |
2.4%
|
|
| 05 | 20 |
1%
|
|
| 06 | 1 |
0.1%
|
|
| 07 | 1 |
0.1%
|
|
| 08 | 9 |
0.5%
|
|
| 1 | 20 |
1%
|
|
| 1,4 | 1 |
0.1%
|
|
| 10 | 8 |
0.4%
|
|
| 13 | 1 |
0.1%
|
|
| 14 | 1 |
0.1%
|
|
| 15 | 4 |
0.2%
|
|
| 16 | 3 |
0.2%
|
|
| 16- KURUDI NYUMGANI | 1 |
0.1%
|
|
| 2 | 46 |
2.4%
|
|
| 2 & 5 | 1 |
0.1%
|
|
| 3 | 104 |
5.4%
|
|
| 3,4 | 1 |
0.1%
|
|
| 3,4,5 | 1 |
0.1%
|
|
| 3,5 | 1 |
0.1%
|
|
| 3,8 | 1 |
0.1%
|
|
| 4 | 590 |
30.7%
|
|
| 4, 5 | 1 |
0.1%
|
|
| 4,3 | 1 |
0.1%
|
|
| 4,5 | 2 |
0.1%
|
|
| 4,5,6 | 1 |
0.1%
|
|
| 4,8 | 1 |
0.1%
|
|
| 5 | 579 |
30.2%
|
|
| 5,3 | 1 |
0.1%
|
|
| 5,4 | 1 |
0.1%
|
|
| 5,8 | 1 |
0.1%
|
|
| 54 | 1 |
0.1%
|
|
| 6 | 25 |
1.3%
|
|
| 7 | 22 |
1.1%
|
|
| 8 | 325 |
16.9%
|
|
| 9 | 10 |
0.5%
|
|
| BUSTANI | 1 |
0.1%
|
|
| DUKA | 1 |
0.1%
|
|
| KANIJANI | 1 |
0.1%
|
|
| KULALA | 1 |
0.1%
|
|
| MISINMA | 1 |
0.1%
|
|
| NAPUMZIKA | 1 |
0.1%
|
|
| NARUDI NYUMBARI | 2 |
0.1%
|
|
| NGOMBE | 1 |
0.1%
|
|
| RANGI YA PILI | 1 |
0.1%
|
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.