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
-
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
A190.2 Crop name of seed (f_s4avi_a190ii)
Data file: MODULE 4 - PART A_FEMALE
Overview
Valid:
511
Invalid:
0
Type:
Discrete
Start:
980
End:
999
Width:
20
Range:
-
Format:
character
Questions and instructions
Literal question
Crop name of seed
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 6 MONTH | 2 |
0.4%
|
|
| 6 MONTHS | 1 |
0.2%
|
|
| AGEGE | 2 |
0.4%
|
|
| AGEIGEI | 2 |
0.4%
|
|
| AGRIC | 2 |
0.4%
|
|
| AYIGBE | 1 |
0.2%
|
|
| BAZUCA | 1 |
0.2%
|
|
| BEANS | 1 |
0.2%
|
|
| CAASAVA | 1 |
0.2%
|
|
| CASAVA | 1 |
0.2%
|
|
| CASSASVA | 2 |
0.4%
|
|
| CASSAVA | 348 |
68.1%
|
|
| CAVSSAVA | 1 |
0.2%
|
|
| COCOA | 3 |
0.6%
|
|
| COCONUT | 1 |
0.2%
|
|
| G'NUT LOCAL | 1 |
0.2%
|
|
| GARDEN EGGS | 1 |
0.2%
|
|
| GRIUNDNUT | 1 |
0.2%
|
|
| GROUNDNUT | 2 |
0.4%
|
|
| LOCAL | 5 |
1%
|
|
| LOCAL MAIZE | 1 |
0.2%
|
|
| MAIZ | 1 |
0.2%
|
|
| MAIZE | 92 |
18%
|
|
| MAZIE | 1 |
0.2%
|
|
| MILLET | 1 |
0.2%
|
|
| OBAATANPA | 2 |
0.4%
|
|
| OBANTANPA | 1 |
0.2%
|
|
| OBATANPA | 3 |
0.6%
|
|
| OIL PALM | 2 |
0.4%
|
|
| OKRO | 2 |
0.4%
|
|
| ORANGE | 1 |
0.2%
|
|
| PALNTAIN | 1 |
0.2%
|
|
| PEPPER | 1 |
0.2%
|
|
| PINEAPPLE | 1 |
0.2%
|
|
| PLANTAIN | 5 |
1%
|
|
| QUAO | 1 |
0.2%
|
|
| SIX MONTH | 6 |
1.2%
|
|
| SIX MONTHS | 1 |
0.2%
|
|
| SUGARCANE | 1 |
0.2%
|
|
| SWEET POTATO | 1 |
0.2%
|
|
| TIGER NUT | 1 |
0.2%
|
|
| TIGERNUT | 1 |
0.2%
|
|
| TOMATOES | 1 |
0.2%
|
|
| TOPSINA | 1 |
0.2%
|
|
| WHITE | 1 |
0.2%
|
|
| YAM | 1 |
0.2%
|
|
| YELLOW | 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.