Land Titling and Financial Literacy Impact Evaluation 2010, Baseline Survey
Ghana, 2010
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Reference ID
GHA_2010_LTFLIE-BL_v01_M
Producer(s)
Markus Goldstein
Collection(s)
Metadata
Created on
Nov 05, 2015
Last modified
Nov 05, 2015
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- Data files
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HH LEVEL
SCREENING
QUESTIONS -
MODULE 1 -
FUTURE CONTACT
INFORMATION -
MODULE 1 - HH
ROSTER -
MODULE 1 -
IMMIGRATION AND
FOSTERING -
MODULE 2 -
EDUCATION -
MODULE 2 -
EMPLOYMENT -
MODULE 2 - HH
MEMBERS'
BACKGROUND -
MODULE 3 -
HOUSEHOLD
DURABLE GOODS -
MODULE 3 -
HOUSEHOLD TOOLS -
MODULE 3 -
INDIVIDUAL
ASSETS_FEMALE
ANIMALS -
MODULE 3 -
INDIVIDUAL
ASSETS_FEMALE
BORROWING -
MODULE 3 -
INDIVIDUAL
ASSETS_FEMALE
DURABLE GOODS -
MODULE 3 -
INDIVIDUAL
ASSETS_FEMALE
IN-TRANSFERS -
MODULE 3 -
INDIVIDUAL
ASSETS_FEMALE
LENDING -
MODULE 3 -
INDIVIDUAL
ASSETS_FEMALE
OTHER FIN
ASSETS -
MODULE 3 -
INDIVIDUAL
ASSETS_FEMALE
OTHER PERSONAL
ASSETS -
MODULE 3 -
INDIVIDUAL
ASSETS_FEMALE
OUT-TRANSFERS -
MODULE 3 -
INDIVIDUAL
ASSETS_FEMALE
SAVINGS -
MODULE 3 -
INDIVIDUAL
ASSETS_FEMALE
TOOLS -
MODULE 3 -
INDIVIDUAL
ASSETS_MALE
ANIMALS -
MODULE 3 -
INDIVIDUAL
ASSETS_MALE
BORROWING -
MODULE 3 -
INDIVIDUAL
ASSETS_MALE
DURABLE GOODS -
MODULE 3 -
INDIVIDUAL
ASSETS_MALE IN
TRANSFERS -
MODULE 3 -
INDIVIDUAL
ASSETS_MALE
LENDING -
MODULE 3 -
INDIVIDUAL
ASSETS_MALE
OTHER FIN
ASSETS -
MODULE 3 -
INDIVIDUAL
ASSETS_MALE
OTHER PERSONAL
ASSETS -
MODULE 3 -
INDIVIDUAL
ASSETS_MALE
OUT-TRANSFERS -
MODULE 3 -
INDIVIDUAL
ASSETS_MALE
SAVINGS -
MODULE 3 -
INDIVIDUAL
ASSETS_MALE
TOOLS -
MODULE 3
SCREENING
QUESTIONS -
FEMALE -
MODULE 3
SCREENING
QUESTIONS -
MALE -
MODULE 4 - LAND
TITLING
KNOWLEDGE_FEMALE -
MODULE 4 - LAND
TITLING
KNOWLEDGE_MALE -
MODULE 4 - PART
A_FEMALE -
MODULE 4 - PART
A_MALE -
MODULE 4 - PART
B_FEMALE -
MODULE 4 - PART
B_MALE -
MODULE 4
SCREENING
QUESTIONS -
FEMALE -
MODULE 4
SCREENING
QUESTIONS -
MALE -
MODULE 5 - PART
AB_FEMALE -
MODULE 5 - PART
AB_MALE -
MODULE 5 - PART
C_FEMALE -
MODULE 5 - PART
C_MALE -
MODULE 5 - PART
D_FEMALE -
MODULE 5 - PART
D_MALE -
MODULE 5 - PART
E_FEMALE -
MODULE 5 - PART
E_MALE -
MODULE 5 - PART
F_FEMALE -
MODULE 5 - PART
F_MALE -
MODULE 5 -
SCREENING
QUESTIONS_FEMALE -
MODULE 5 -
SCREENING
QUESTIONS_MALE -
MODULE 6 -
FINANCIAL
LITERACY_FEMALE -
MODULE 6 -
FINANCIAL
LITERACY_MALE -
MODULE 7 -
FAMILY
HISTORY_FEMALE -
MODULE 7 -
FAMILY
HISTORY_MALE -
MODULE 7 -
MARITAL_FEMALE -
MODULE 7 -
MARITAL_MALE -
MODULE 7 -
NON-RESIDENT
SPOUSES_FEMALE -
MODULE 7 -
NON-RESIDENT
SPOUSES_MALE -
PERMANENT
INDIVIDUAL
ROSTER - PLOT ROSTER
-
Identification
items_new
A105.3.1 Crop 3 (f_s4v_a105iii1)
Data file: MODULE 4 - PART A_FEMALE
Overview
Valid:
65
Invalid:
1440
Type:
Discrete
Decimal:
0
Start:
587
End:
588
Width:
2
Range:
1 - 43
Format:
Numeric
Questions and instructions
Literal question
Crop 3
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | Avocado pear | 1 |
1.5%
|
| 2 | Banana | 0 |
0%
|
| 3 | Beans/Peas | 3 |
4.6%
|
| 4 | Cashew nut | 0 |
0%
|
| 5 | Cassava | 3 |
4.6%
|
| 6 | Cocoa | 0 |
0%
|
| 7 | Coconut | 1 |
1.5%
|
| 8 | Cocoyam | 0 |
0%
|
| 9 | Coffee | 0 |
0%
|
| 10 | Colanut | 0 |
0%
|
| 11 | Cotton | 0 |
0%
|
| 12 | Garden Egg/Egg plant | 2 |
3.1%
|
| 13 | Ginger | 0 |
0%
|
| 14 | Groundnut/Peanut | 8 |
12.3%
|
| 15 | Guinea corn/Sorghum | 0 |
0%
|
| 16 | Kenef | 0 |
0%
|
| 17 | Leafy Vegetable | 0 |
0%
|
| 18 | Lime/Lemon | 0 |
0%
|
| 19 | Maize | 9 |
13.8%
|
| 20 | Mango | 0 |
0%
|
| 21 | Millet | 0 |
0%
|
| 22 | Oil Palm | 3 |
4.6%
|
| 23 | Okro | 0 |
0%
|
| 24 | Onion | 0 |
0%
|
| 25 | Oranges/Tangerine | 2 |
3.1%
|
| 26 | Pawpaw | 0 |
0%
|
| 27 | Pepper | 6 |
9.2%
|
| 28 | Pineapple | 0 |
0%
|
| 29 | Plantain | 8 |
12.3%
|
| 30 | Potatoes/Sweet potatoes | 0 |
0%
|
| 31 | Rice | 0 |
0%
|
| 32 | Rubber | 0 |
0%
|
| 33 | Sheanut | 0 |
0%
|
| 34 | Sugarcane | 2 |
3.1%
|
| 35 | Tiger nut | 0 |
0%
|
| 36 | Tobacco | 0 |
0%
|
| 37 | Tomatoes | 1 |
1.5%
|
| 38 | Water melon | 0 |
0%
|
| 39 | Woodlot | 1 |
1.5%
|
| 40 | Yam | 12 |
18.5%
|
| 41 | Other food crops | 2 |
3.1%
|
| 42 | Other fruits | 0 |
0%
|
| 43 | Other vegetables | 1 |
1.5%
|
| Sysmiss | 1440 |
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.