Virtual Business Incubator Impact Evaluation 2010, Baseline Survey
Tanzania, 2010
Created on
Dec 23, 2014
Last modified
Dec 05, 2019
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50194
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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
3. Fresh fish and seafood (including small fish) (Quantity):- How much fresh fish (fish_quant_purch_7days)
Data file: bl_consumption
Overview
Valid:
596
Invalid:
0
Type:
Discrete
Start:
286
End:
295
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 fresh fish and seafood (including small fish) came from purchases in the past 7 days? If none write 0 for quantity and leave blank for unit. Quantity
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 15 |
2.5%
|
|
| 0.0 | 1 |
0.2%
|
|
| 0.5 | 3 |
0.5%
|
|
| 00 | 21 |
3.5%
|
|
| 00.5 | 1 |
0.2%
|
|
| 000 | 2 |
0.3%
|
|
| 001 | 52 |
8.7%
|
|
| 002 | 28 |
4.7%
|
|
| 003 | 25 |
4.2%
|
|
| 004 | 12 |
2%
|
|
| 005 | 6 |
1%
|
|
| 006 | 4 |
0.7%
|
|
| 007 | 2 |
0.3%
|
|
| 008 | 3 |
0.5%
|
|
| 01 | 127 |
21.3%
|
|
| 010 | 4 |
0.7%
|
|
| 014 | 1 |
0.2%
|
|
| 02 | 74 |
12.4%
|
|
| 03 | 42 |
7%
|
|
| 04 | 23 |
3.9%
|
|
| 05 | 18 |
3%
|
|
| 06 | 2 |
0.3%
|
|
| 07 | 2 |
0.3%
|
|
| 08 | 1 |
0.2%
|
|
| 1 | 41 |
6.9%
|
|
| 1 1/2 | 1 |
0.2%
|
|
| 1.5 | 1 |
0.2%
|
|
| 1/2 | 1 |
0.2%
|
|
| 10 | 4 |
0.7%
|
|
| 13 | 1 |
0.2%
|
|
| 14 | 1 |
0.2%
|
|
| 1500 | 4 |
0.7%
|
|
| 1750 | 1 |
0.2%
|
|
| 18 | 1 |
0.2%
|
|
| 2 | 22 |
3.7%
|
|
| 20 | 1 |
0.2%
|
|
| 250 | 1 |
0.2%
|
|
| 3 | 8 |
1.3%
|
|
| 30 | 1 |
0.2%
|
|
| 3500 | 2 |
0.3%
|
|
| 4 | 8 |
1.3%
|
|
| 43 | 1 |
0.2%
|
|
| 5 | 2 |
0.3%
|
|
| 500 | 21 |
3.5%
|
|
| 6 | 1 |
0.2%
|
|
| 7 | 2 |
0.3%
|
|
| 750 | 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.