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
Q3.a Community of Residence (s0_3a)
Data file: MODULE 1 - FUTURE CONTACT INFORMATION
Overview
Valid:
6802
Invalid:
0
Type:
Discrete
Start:
14
End:
53
Width:
40
Range:
-
Format:
character
Questions and instructions
Literal question
Community of residence
Categories
| Value | Category | Cases | |
|---|---|---|---|
| ABAM | 3 |
0%
|
|
| ABEKA | 1 |
0%
|
|
| ABEKA LAPAZ | 3 |
0%
|
|
| ABEKA-LAGOS | 1 |
0%
|
|
| ABEKA-LAPAS | 1 |
0%
|
|
| ABLEKUMA | 3 |
0%
|
|
| ABLESHIA | 1 |
0%
|
|
| ABRO NKWANTA | 5 |
0.1%
|
|
| ABRO-NKWANTA | 12 |
0.2%
|
|
| ABUKROM | 2 |
0%
|
|
| ABURI | 1 |
0%
|
|
| ACCRA | 99 |
1.5%
|
|
| ADA | 1 |
0%
|
|
| ADABRAKA | 1 |
0%
|
|
| ADAE KWAO | 498 |
7.3%
|
|
| ADAESO | 1 |
0%
|
|
| ADEISO | 4 |
0.1%
|
|
| ADENTA | 2 |
0%
|
|
| ADJU | 1 |
0%
|
|
| ADJUMAKO | 1 |
0%
|
|
| ADUWA | 1 |
0%
|
|
| AFADJATOR | 70 |
1%
|
|
| AFLAO | 1 |
0%
|
|
| AGBOGBLOOSHIE | 1 |
0%
|
|
| AGBOGLOSHIE | 1 |
0%
|
|
| AGEGE | 2 |
0%
|
|
| AGIGI | 1 |
0%
|
|
| AGONA ADUAKUA | 1 |
0%
|
|
| AGONA MANKESIM | 1 |
0%
|
|
| AHINTIA | 3 |
0%
|
|
| AJUMAKO | 1 |
0%
|
|
| AKATSI | 1 |
0%
|
|
| AKATSI AGBOR | 1 |
0%
|
|
| AKIM ODA | 1 |
0%
|
|
| AKOFO KRODUA | 1 |
0%
|
|
| AKORLEY KASOA | 1 |
0%
|
|
| AKOSOMBO | 2 |
0%
|
|
| AKOSUA | 1 |
0%
|
|
| AKROPONG | 1 |
0%
|
|
| AKUKURONTUMI(AKIM) | 1 |
0%
|
|
| AKUSELE(KASOA) | 1 |
0%
|
|
| AKUSO KRODUA | 1 |
0%
|
|
| AKWADOR | 1 |
0%
|
|
| AKWANDO | 5 |
0.1%
|
|
| AKWANDOR | 20 |
0.3%
|
|
| AKWELE | 5 |
0.1%
|
|
| AKWELEY | 9 |
0.1%
|
|
| AKWELWY | 1 |
0%
|
|
| AKYEM ODA | 1 |
0%
|
|
| ALAJO | 1 |
0%
|
|
| ALARJO | 1 |
0%
|
|
| ALIKO | 1 |
0%
|
|
| ALLAM | 2 |
0%
|
|
| AMANFROM | 1 |
0%
|
|
| AMASAMAN | 3 |
0%
|
|
| ANIGYEKROM | 1 |
0%
|
|
| ANKWAANO | 3 |
0%
|
|
| APAM | 4 |
0.1%
|
|
| APLAKU | 2 |
0%
|
|
| APRA | 74 |
1.1%
|
|
| APRAH | 3 |
0%
|
|
| APRE | 2 |
0%
|
|
| ASAMOA (AYENSUDU) CENTRAL | 1 |
0%
|
|
| ASAWUKWA | 1 |
0%
|
|
| ASEN FOSU | 1 |
0%
|
|
| ASHAIMAN | 4 |
0.1%
|
|
| ASHALE BOTWE | 1 |
0%
|
|
| ASIN FOSU | 1 |
0%
|
|
| ASSIN FOSU | 1 |
0%
|
|
| ASSIN-BISEASE | 1 |
0%
|
|
| ASUOKO | 1 |
0%
|
|
| ATOMA | 1 |
0%
|
|
| AUERESU | 1 |
0%
|
|
| AWELEY | 1 |
0%
|
|
| AWUTU BONTRASE | 1 |
0%
|
|
| AWUTU KWADJO ACKWAH | 1 |
0%
|
|
| AWUTU MFAFO | 1 |
0%
|
|
| AYARESU | 1 |
0%
|
|
| AYERES | 1 |
0%
|
|
| AYERESA | 3 |
0%
|
|
| AYERESE | 1 |
0%
|
|
| AYERESO | 11 |
0.2%
|
|
| AYERESOAYERESOAYERESO | 1 |
0%
|
|
| AYERESU | 276 |
4.1%
|
|
| AYERESU BENTUM | 1 |
0%
|
|
| AYIRENSU | 7 |
0.1%
|
|
| AYIRESO | 1 |
0%
|
|
| AYIRESU | 45 |
0.7%
|
|
| AYIRSEU | 1 |
0%
|
|
| AYUTU BOEKU | 1 |
0%
|
|
| BAWANAM | 1 |
0%
|
|
| BAWJIASE | 2061 |
30.3%
|
|
| BAWJIASE (MANKESIM | 1 |
0%
|
|
| BAWJIASE MANKESSIM | 1 |
0%
|
|
| BAWJIASE PABIOKO | 1 |
0%
|
|
| BAWRI, ANYINASE | 2 |
0%
|
|
| BAYERE NKWANTA | 3 |
0%
|
|
| BENTUM | 158 |
2.3%
|
|
| BERMA CAMP | 1 |
0%
|
|
| BEWURANIM | 1 |
0%
|
|
| BIBIA NE HA | 1 |
0%
|
|
| BLOCK FACTORY | 2 |
0%
|
|
| BOGOSO | 1 |
0%
|
|
| BOMODEN | 1 |
0%
|
|
| BONTRASE | 3 |
0%
|
|
| BONTRASI | 1 |
0%
|
|
| BOTIRNURF | 1 |
0%
|
|
| BOTROASI | 1 |
0%
|
|
| BOWIRE | 1 |
0%
|
|
| BRATA | 1 |
0%
|
|
| BREKU | 1 |
0%
|
|
| BREMAN | 1 |
0%
|
|
| BROTHER TIMOTHY | 1 |
0%
|
|
| BUDUBURAM | 2 |
0%
|
|
| BUDURAM CAMP | 1 |
0%
|
|
| BUEWURANUM | 1 |
0%
|
|
| BURMA CAMP | 3 |
0%
|
|
| CAPE COAST | 10 |
0.1%
|
|
| CHORKOR | 1 |
0%
|
|
| CONGO VILLA | 4 |
0.1%
|
|
| DANSOMA | 1 |
0%
|
|
| DANSOMAN | 10 |
0.1%
|
|
| DARKLUMAN | 1 |
0%
|
|
| DODOWA | 1 |
0%
|
|
| DOME | 2 |
0%
|
|
| ELIMINA | 1 |
0%
|
|
| ESAMAN KESSE | 1 |
0%
|
|
| ESHEREKO | 1 |
0%
|
|
| ESI KUMA | 1 |
0%
|
|
| FADJATO | 5 |
0.1%
|
|
| FAKOR | 1 |
0%
|
|
| FETE | 2 |
0%
|
|
| FIANKO | 1 |
0%
|
|
| FOAAKOR | 1 |
0%
|
|
| FOSU | 1 |
0%
|
|
| GADA | 53 |
0.8%
|
|
| GALELE | 1 |
0%
|
|
| GALILI | 1 |
0%
|
|
| GALILIA | 1 |
0%
|
|
| GODA | 5 |
0.1%
|
|
| GREATER ACCRA | 3 |
0%
|
|
| HALF ASSINI | 1 |
0%
|
|
| HO | 2 |
0%
|
|
| HOBOR | 1 |
0%
|
|
| HONI | 6 |
0.1%
|
|
| JACOB NYAVOR | 1 |
0%
|
|
| JAMES TOWN | 1 |
0%
|
|
| JEI KRODUA | 324 |
4.8%
|
|
| K BENTUM | 1 |
0%
|
|
| K-BENTUM | 1 |
0%
|
|
| K. | 1 |
0%
|
|
| K. BENTUM | 1 |
0%
|
|
| K.BENTUM | 1 |
0%
|
|
| KADE | 2 |
0%
|
|
| KALABULEY | 1 |
0%
|
|
| KANESHIE | 2 |
0%
|
|
| KANESHIE MATAHIKO | 1 |
0%
|
|
| KASOA | 79 |
1.2%
|
|
| KASOA (AMAFRO) | 1 |
0%
|
|
| KASOA AMANFROM | 3 |
0%
|
|
| KASOA-ZONGO | 2 |
0%
|
|
| KEDE | 1 |
0%
|
|
| KLO NKWANTA | 1 |
0%
|
|
| KLU NKWANTA | 45 |
0.7%
|
|
| KLUNKWANTA | 5 |
0.1%
|
|
| KOFI-QUEYE | 1 |
0%
|
|
| KOFORIDUA | 4 |
0.1%
|
|
| KOJO ACQUAH | 3 |
0%
|
|
| KOJO BENTUM | 3 |
0%
|
|
| KOJO GADA | 1 |
0%
|
|
| KOLOTOMU | 1 |
0%
|
|
| KOMENDA | 2 |
0%
|
|
| KOSA | 1 |
0%
|
|
| KUMASI | 10 |
0.1%
|
|
| KUTUNSE | 1 |
0%
|
|
| KWABENA | 1 |
0%
|
|
| KWAHU NKWATIA | 1 |
0%
|
|
| KWAKU | 1 |
0%
|
|
| KWAKU BENTUM | 54 |
0.8%
|
|
| KWAMAN | 231 |
3.4%
|
|
| KWAMAN NO1 | 12 |
0.2%
|
|
| KWANARKO | 1 |
0%
|
|
| KWAWUKOR | 1 |
0%
|
|
| KWEI | 3 |
0%
|
|
| KWEKU BENTUM | 66 |
1%
|
|
| LABADI | 1 |
0%
|
|
| LAPAZ | 1 |
0%
|
|
| LARBADI | 3 |
0%
|
|
| LARTEYBIKOSHIE | 1 |
0%
|
|
| LOOYE | 8 |
0.1%
|
|
| LOVE | 3 |
0%
|
|
| LOYE | 80 |
1.2%
|
|
| LUMORSHIE LOGA | 1 |
0%
|
|
| MADINA | 2 |
0%
|
|
| MALLAM GBAWAY | 1 |
0%
|
|
| MAMPONG | 1 |
0%
|
|
| MAMPROBI | 1 |
0%
|
|
| MANDELA | 2 |
0%
|
|
| MANGOASE | 5 |
0.1%
|
|
| MANGOASE-JEIKRODUA | 1 |
0%
|
|
| MANKESIM | 1 |
0%
|
|
| MANKESSIM | 2 |
0%
|
|
| MANKOMEDA | 129 |
1.9%
|
|
| MANPONG | 1 |
0%
|
|
| MMEM | 1 |
0%
|
|
| Missing | 68 |
1%
|
|
| NANA'S HOUSE (OPEI) | 1 |
0%
|
|
| NANA'S HOUSE (OPEI) | 2 |
0%
|
|
| NEW ACHIMOTA | 1 |
0%
|
|
| NEW KWAMAN | 2 |
0%
|
|
| NEW TOWN | 1 |
0%
|
|
| NKAWKAW | 1 |
0%
|
|
| NKORANZA | 1 |
0%
|
|
| NKWANTA | 1 |
0%
|
|
| NORTH KANESHIE | 2 |
0%
|
|
| NSAWAM | 1 |
0%
|
|
| NUGUA | 1 |
0%
|
|
| NUNGUA | 1 |
0%
|
|
| OBLOGO | 1 |
0%
|
|
| OBOM | 5 |
0.1%
|
|
| OBRA KYERE | 1 |
0%
|
|
| OBRAKYERE | 1 |
0%
|
|
| OBRAKYIRE | 1 |
0%
|
|
| OBUASI | 3 |
0%
|
|
| ODA | 2 |
0%
|
|
| ODOKOR | 2 |
0%
|
|
| ODORKOR | 8 |
0.1%
|
|
| ODORKOR,GLORY LAND | 1 |
0%
|
|
| ODUPONG OFAKOR | 3 |
0%
|
|
| OEMBO | 1 |
0%
|
|
| OFAADA | 2 |
0%
|
|
| OFAAKOR ODUPOAG | 1 |
0%
|
|
| OFAAKOR ODUPONG | 2 |
0%
|
|
| OFADAA | 2 |
0%
|
|
| OFADEATO | 1 |
0%
|
|
| OFADJATOR | 89 |
1.3%
|
|
| OFAKOR | 1084 |
15.9%
|
|
| OFAKOR GADA | 1 |
0%
|
|
| OFAKOR ODUPONG | 3 |
0%
|
|
| OFAKOR-CONGO VILLA | 1 |
0%
|
|
| OFANKOR | 3 |
0%
|
|
| OFASU(18) | 1 |
0%
|
|
| OKAISHIE | 1 |
0%
|
|
| OKIV NKWANTA | 1 |
0%
|
|
| OKLU NKWANTA | 30 |
0.4%
|
|
| OKUAMPA | 1 |
0%
|
|
| OKWAABENA | 1 |
0%
|
|
| OKWABINA | 1 |
0%
|
|
| OLEBU ACCRA | 1 |
0%
|
|
| OLOTOM | 1 |
0%
|
|
| OPAMBO | 1 |
0%
|
|
| OPANKA | 1 |
0%
|
|
| OPEIKUMA | 137 |
2%
|
|
| OPEIKUMAH | 3 |
0%
|
|
| OPEKUMA | 100 |
1.5%
|
|
| OPEMBO | 106 |
1.6%
|
|
| OSEI KRODUA | 14 |
0.2%
|
|
| OTAKOR | 1 |
0%
|
|
| OTHER URBAN | 20 |
0.3%
|
|
| PAAPAASE NO. 1 | 1 |
0%
|
|
| PAAPASE 2 | 1 |
0%
|
|
| PAAPASE NO 2 | 3 |
0%
|
|
| PAAPASE NO. 1 | 1 |
0%
|
|
| PAAPASE NO. 2 | 2 |
0%
|
|
| PAAPASE NO1 | 2 |
0%
|
|
| PAAPASE NO2 | 1 |
0%
|
|
| PAAPASI NO1 | 1 |
0%
|
|
| PABIOKOR | 1 |
0%
|
|
| PANYIN | 1 |
0%
|
|
| PAPAASE | 3 |
0%
|
|
| PAPAASE 1 | 12 |
0.2%
|
|
| PAPAASE 2 | 18 |
0.3%
|
|
| PAPAASE II | 7 |
0.1%
|
|
| PAPAASI | 6 |
0.1%
|
|
| PAPAASI I | 27 |
0.4%
|
|
| PAPAASI NO1 | 1 |
0%
|
|
| PAPASE | 16 |
0.2%
|
|
| PAPASE #1 | 6 |
0.1%
|
|
| PAPASE #2 | 22 |
0.3%
|
|
| PAPASE 1 | 12 |
0.2%
|
|
| PAPASE 2 | 5 |
0.1%
|
|
| PAPASE I | 21 |
0.3%
|
|
| PAPASE II | 35 |
0.5%
|
|
| PAPASE NI 1 | 1 |
0%
|
|
| PAPASE NO 1 | 7 |
0.1%
|
|
| PAPASE NO 2 | 6 |
0.1%
|
|
| PAPASE NO. 1 | 3 |
0%
|
|
| PAPASE NO. 2 | 12 |
0.2%
|
|
| PAPASE NO.1 | 9 |
0.1%
|
|
| PAPASE NO.2 | 6 |
0.1%
|
|
| PAPASE NO1 | 4 |
0.1%
|
|
| PAPASE NO2 | 7 |
0.1%
|
|
| PAPASI | 1 |
0%
|
|
| PAPASI 1 | 1 |
0%
|
|
| PAPASI NO 2 | 3 |
0%
|
|
| PAPPASE 1 | 1 |
0%
|
|
| PAPPASI I | 1 |
0%
|
|
| PARA | 1 |
0%
|
|
| PEMBO | 2 |
0%
|
|
| PENIM | 3 |
0%
|
|
| PFANKOR | 1 |
0%
|
|
| POEKUMA | 1 |
0%
|
|
| POKUASE | 1 |
0%
|
|
| PRESTEA | 1 |
0%
|
|
| QUASHIE ABE | 1 |
0%
|
|
| QUEEN CITY | 1 |
0%
|
|
| RUSSIA | 4 |
0.1%
|
|
| SANTA MARIA | 1 |
0%
|
|
| SEDRU | 1 |
0%
|
|
| SEKONDI | 1 |
0%
|
|
| SENYA | 2 |
0%
|
|
| SENYA BREKU | 3 |
0%
|
|
| SHIASHE | 1 |
0%
|
|
| SOMANYA | 1 |
0%
|
|
| SPINTEX | 1 |
0%
|
|
| STEVEN MENSAH | 1 |
0%
|
|
| SUHUNDA | 1 |
0%
|
|
| SUNYANI | 1 |
0%
|
|
| SWEDRU | 9 |
0.1%
|
|
| SWUDRU | 1 |
0%
|
|
| SYERESU | 2 |
0%
|
|
| TAIFA | 1 |
0%
|
|
| TAKORADI | 5 |
0.1%
|
|
| TARKWA | 1 |
0%
|
|
| TEMA | 14 |
0.2%
|
|
| TESHIE | 2 |
0%
|
|
| TOPEASE | 2 |
0%
|
|
| TRADE FAIR | 1 |
0%
|
|
| VARKOMAN | 1 |
0%
|
|
| WEIGER | 1 |
0%
|
|
| WEIJA | 2 |
0%
|
|
| WINNEBA | 5 |
0.1%
|
|
| YAMA | 1 |
0%
|
|
| YAMOAH NKWANTA | 2 |
0%
|
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.