Land Titling and Financial Literacy Impact Evaluation 2010
Ghana, 2010
Get MicrodataCreated on
Jan 29, 2016
Last modified
Mar 29, 2019
Page views
134562
Downloads
751
- Data files
-
HH LEVEL
SCREENING
QUESTIONS -
IDENTIFICATION
ITEMS -
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
A107.3 Variety of crop harvested (m_s4v1_107iii)
Data file: MODULE 4 - PART A_MALE
Overview
Valid:
299
Invalid:
0
Type:
Discrete
Start:
622
End:
631
Width:
10
Format:
Questions and instructions
Literal question
Variety of crop harvested
Categories
| Value | Category |
|---|---|
| -9 | |
| 05 | |
| 07 | |
| 100 | |
| 140 | |
| 19 | |
| 4 | |
| 40 | |
| 480 | |
| 5 | |
| 500 | |
| 6 | |
| 6 MONTHS | |
| 60 | |
| 63 | |
| ABAASA | |
| ABASA | |
| ABEBRE | |
| ABENAVI | |
| ADA | |
| ADAA | |
| ADAISE | |
| ADAISO | |
| ADD | |
| ADEISO | |
| AFASE | |
| AFASIE | |
| AGAGE | |
| AGEG | |
| AGEGE | |
| AGEGE SUSH | |
| AGEIGEI | |
| AGRGR ADAA | |
| AGRIC | |
| AGRICK | |
| ANAFO | |
| ANUF | |
| APAM | |
| APEM | |
| APENTU | |
| AYEGBE | |
| BASUKA | |
| BAZUKA | |
| BLASS | |
| BOSOME NSI | |
| DADABA | |
| EWE CORN | |
| FA WOTO BE | |
| GRADEI | |
| HUSHIVI | |
| HYBRID | |
| KOKODUA | |
| KOKOO | |
| KPALOGO | |
| KWEI | |
| LAGOS | |
| LOCAL | |
| LOCAL MAIZ | |
| LOCAL PALM | |
| LOCALMAIZE | |
| MADEMAKU | |
| MADU-MAKU | |
| MADUMAKO | |
| MADUMAKU | |
| MADUMARU | |
| MADUNEKU | |
| MANUMAKU | |
| MD2 | |
| MILEBAKO | |
| MIXED | |
| MO2 | |
| NADUNAKO | |
| NIGERIA | |
| NTONTO | |
| NTOTO | |
| OBAATAMPA | |
| OBAATANPA | |
| OBANTANPA | |
| OBATAMPA | |
| OBATANPA | |
| ONE WORD | |
| OYLUS | |
| PUNA | |
| ROPE | |
| SGRIC | |
| SIX MONTH | |
| SIX MONTHS | |
| SOCHE | |
| STEER | |
| STEERCROSS | |
| SUGAR LOVE | |
| SUSHEE | |
| TECHIMAN | |
| TONTO | |
| TOSPHIP | |
| TOSPINO | |
| TUTOU | |
| WHITE | |
| WHITE SUGA | |
| YELLOW COR | |
| YELLOWCORN |
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.