Land Titling and Financial Literacy Impact Evaluation 2010
Ghana, 2010
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Jan 29, 2016
Last modified
Mar 29, 2019
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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
Q14 Code of ethnic group (s2a_14)
Data file: MODULE 2 - HH MEMBERS' BACKGROUND
Overview
Valid:
7230
Invalid:
284
Type:
Discrete
Decimal:
0
Start:
69
End:
70
Width:
2
Range:
-
Format:
Questions and instructions
Literal question
Code of Ethnic group
Categories
| Value | Category |
|---|---|
| 0 | Akan |
| 1 | Agona |
| 2 | Ahafo |
| 3 | Ahanta |
| 4 | Akuapem |
| 5 | Akwamu |
| 6 | Akyem |
| 7 | Aowin |
| 8 | Asante |
| 9 | Asen (Assin) |
| 10 | Boron (Brong) |
| 11 | Chokosi |
| 12 | Denkyira |
| 13 | Evalue |
| 14 | Fante |
| 15 | Kwahu |
| 16 | Nzema |
| 17 | Sefwi |
| 18 | Wasa |
| 20 | Ga-Dangbe |
| 21 | Dangme |
| 22 | Ga |
| 30 | Ewe |
| 40 | Guan |
| 41 | Akpafu, Bowiri, Buem, Likpe, Lolobii, Santrokofi |
| 42 | Avatime, Logba, Nyongbo, Tafi |
| 43 | Awutu, Efutu |
| 44 | Cherepong, Adukrom, Anum, Larteh |
| 45 | Gonja |
| 46 | Nkonya |
| 47 | Yefi, Achode, Krachi, Nawuni, Nchumuru |
| 50 | Gurma |
| 51 | Bimoba |
| 52 | Frafra/Talensi |
| 53 | Kokomba |
| 54 | Kyamba (Tchamba) |
| 55 | Pilapila |
| 56 | Salfalba (Sabulaba) |
| 57 | Wali, Birifor, Dagaare |
| 60 | Mole-Dagbani |
| 61 | Builsa |
| 62 | Dagarte, Lobi |
| 63 | Dagomba |
| 64 | Kusasi |
| 65 | Mamprusi |
| 66 | Namnam (Nabdom) |
| 67 | Nankani and Gurense |
| 68 | Nanumba |
| 69 | Walba (Wala) |
| 70 | Grusi |
| 71 | Kasena (Paga) |
| 72 | Mo |
| 73 | Sisala |
| 74 | Vagala |
| 75 | Other Grusi |
| 80 | Mande |
| 81 | Busanga |
| 82 | Wangara |
| 90 | All other tribes originating from Ghana |
| 91 | All other tribes originating from other WA countries |
| 92 | All other tribes originating from other African countries |
| 93 | Other |
| Sysmiss |
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.