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
Page views
275785
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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
Q12.1 What was the total schooling expenditure spent on name in the last 12 mont (s2ci_12i)
Data file: MODULE 2 - EDUCATION
Overview
Valid:
2345
Invalid:
4348
Type:
Discrete
Decimal:
0
Start:
32
End:
36
Width:
5
Range:
-9 - 10500
Format:
Numeric
Questions and instructions
Literal question
What was the total schooling expenditure spent on person in the last 12 months? (In Cedis)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | DK | 0 |
0%
|
| 0 | 1 |
0%
|
|
| 3 | 1 |
0%
|
|
| 4 | 2 |
0.1%
|
|
| 5 | 11 |
0.5%
|
|
| 6 | 4 |
0.2%
|
|
| 7 | 5 |
0.2%
|
|
| 8 | 8 |
0.3%
|
|
| 9 | 7 |
0.3%
|
|
| 10 | 43 |
1.8%
|
|
| 12 | 15 |
0.6%
|
|
| 14 | 1 |
0%
|
|
| 15 | 30 |
1.3%
|
|
| 16 | 3 |
0.1%
|
|
| 18 | 3 |
0.1%
|
|
| 20 | 75 |
3.2%
|
|
| 21 | 1 |
0%
|
|
| 24 | 2 |
0.1%
|
|
| 25 | 28 |
1.2%
|
|
| 26 | 1 |
0%
|
|
| 28 | 1 |
0%
|
|
| 30 | 85 |
3.6%
|
|
| 35 | 19 |
0.8%
|
|
| 36 | 47 |
2%
|
|
| 37 | 4 |
0.2%
|
|
| 38 | 4 |
0.2%
|
|
| 40 | 120 |
5.1%
|
|
| 41 | 1 |
0%
|
|
| 42 | 1 |
0%
|
|
| 45 | 20 |
0.9%
|
|
| 46 | 1 |
0%
|
|
| 48 | 3 |
0.1%
|
|
| 50 | 151 |
6.4%
|
|
| 51 | 1 |
0%
|
|
| 52 | 3 |
0.1%
|
|
| 53 | 3 |
0.1%
|
|
| 54 | 2 |
0.1%
|
|
| 55 | 5 |
0.2%
|
|
| 56 | 2 |
0.1%
|
|
| 60 | 94 |
4%
|
|
| 61 | 3 |
0.1%
|
|
| 64 | 1 |
0%
|
|
| 65 | 6 |
0.3%
|
|
| 66 | 4 |
0.2%
|
|
| 70 | 71 |
3%
|
|
| 71 | 1 |
0%
|
|
| 72 | 2 |
0.1%
|
|
| 75 | 17 |
0.7%
|
|
| 78 | 2 |
0.1%
|
|
| 80 | 90 |
3.8%
|
|
| 81 | 3 |
0.1%
|
|
| 82 | 2 |
0.1%
|
|
| 83 | 1 |
0%
|
|
| 84 | 7 |
0.3%
|
|
| 85 | 8 |
0.3%
|
|
| 88 | 2 |
0.1%
|
|
| 90 | 73 |
3.1%
|
|
| 93 | 1 |
0%
|
|
| 96 | 3 |
0.1%
|
|
| 97 | 2 |
0.1%
|
|
| 99 | 1 |
0%
|
|
| 100 | 155 |
6.6%
|
|
| 101 | 2 |
0.1%
|
|
| 102 | 2 |
0.1%
|
|
| 103 | 1 |
0%
|
|
| 104 | 3 |
0.1%
|
|
| 105 | 3 |
0.1%
|
|
| 107 | 2 |
0.1%
|
|
| 108 | 4 |
0.2%
|
|
| 110 | 8 |
0.3%
|
|
| 112 | 5 |
0.2%
|
|
| 114 | 2 |
0.1%
|
|
| 115 | 2 |
0.1%
|
|
| 116 | 1 |
0%
|
|
| 117 | 2 |
0.1%
|
|
| 118 | 1 |
0%
|
|
| 120 | 81 |
3.5%
|
|
| 122 | 1 |
0%
|
|
| 125 | 2 |
0.1%
|
|
| 126 | 3 |
0.1%
|
|
| 129 | 1 |
0%
|
|
| 130 | 10 |
0.4%
|
|
| 135 | 3 |
0.1%
|
|
| 136 | 4 |
0.2%
|
|
| 139 | 1 |
0%
|
|
| 140 | 8 |
0.3%
|
|
| 141 | 2 |
0.1%
|
|
| 143 | 1 |
0%
|
|
| 144 | 2 |
0.1%
|
|
| 145 | 2 |
0.1%
|
|
| 150 | 124 |
5.3%
|
|
| 153 | 1 |
0%
|
|
| 155 | 5 |
0.2%
|
|
| 157 | 1 |
0%
|
|
| 158 | 1 |
0%
|
|
| 160 | 10 |
0.4%
|
|
| 162 | 1 |
0%
|
|
| 164 | 1 |
0%
|
|
| 165 | 2 |
0.1%
|
|
| 166 | 1 |
0%
|
|
| 167 | 2 |
0.1%
|
|
| 168 | 2 |
0.1%
|
|
| 170 | 4 |
0.2%
|
|
| 172 | 1 |
0%
|
|
| 174 | 1 |
0%
|
|
| 178 | 1 |
0%
|
|
| 180 | 26 |
1.1%
|
|
| 185 | 1 |
0%
|
|
| 190 | 4 |
0.2%
|
|
| 192 | 2 |
0.1%
|
|
| 195 | 1 |
0%
|
|
| 198 | 3 |
0.1%
|
|
| 200 | 114 |
4.9%
|
|
| 204 | 3 |
0.1%
|
|
| 206 | 3 |
0.1%
|
|
| 210 | 6 |
0.3%
|
|
| 218 | 3 |
0.1%
|
|
| 220 | 1 |
0%
|
|
| 225 | 1 |
0%
|
|
| 227 | 1 |
0%
|
|
| 229 | 1 |
0%
|
|
| 230 | 2 |
0.1%
|
|
| 233 | 2 |
0.1%
|
|
| 234 | 1 |
0%
|
|
| 235 | 2 |
0.1%
|
|
| 240 | 6 |
0.3%
|
|
| 243 | 1 |
0%
|
|
| 244 | 1 |
0%
|
|
| 248 | 1 |
0%
|
|
| 249 | 1 |
0%
|
|
| 250 | 47 |
2%
|
|
| 252 | 2 |
0.1%
|
|
| 255 | 1 |
0%
|
|
| 260 | 6 |
0.3%
|
|
| 261 | 1 |
0%
|
|
| 262 | 2 |
0.1%
|
|
| 270 | 5 |
0.2%
|
|
| 277 | 1 |
0%
|
|
| 278 | 1 |
0%
|
|
| 279 | 1 |
0%
|
|
| 280 | 4 |
0.2%
|
|
| 285 | 4 |
0.2%
|
|
| 286 | 1 |
0%
|
|
| 288 | 1 |
0%
|
|
| 294 | 1 |
0%
|
|
| 300 | 104 |
4.4%
|
|
| 302 | 2 |
0.1%
|
|
| 303 | 2 |
0.1%
|
|
| 305 | 4 |
0.2%
|
|
| 308 | 2 |
0.1%
|
|
| 310 | 3 |
0.1%
|
|
| 312 | 2 |
0.1%
|
|
| 313 | 2 |
0.1%
|
|
| 314 | 3 |
0.1%
|
|
| 315 | 2 |
0.1%
|
|
| 316 | 1 |
0%
|
|
| 320 | 6 |
0.3%
|
|
| 326 | 4 |
0.2%
|
|
| 330 | 1 |
0%
|
|
| 331 | 2 |
0.1%
|
|
| 339 | 1 |
0%
|
|
| 348 | 1 |
0%
|
|
| 350 | 26 |
1.1%
|
|
| 354 | 1 |
0%
|
|
| 359 | 1 |
0%
|
|
| 360 | 21 |
0.9%
|
|
| 369 | 1 |
0%
|
|
| 372 | 2 |
0.1%
|
|
| 378 | 1 |
0%
|
|
| 380 | 3 |
0.1%
|
|
| 390 | 1 |
0%
|
|
| 398 | 1 |
0%
|
|
| 400 | 44 |
1.9%
|
|
| 405 | 1 |
0%
|
|
| 420 | 4 |
0.2%
|
|
| 425 | 3 |
0.1%
|
|
| 426 | 1 |
0%
|
|
| 430 | 2 |
0.1%
|
|
| 431 | 1 |
0%
|
|
| 434 | 1 |
0%
|
|
| 440 | 1 |
0%
|
|
| 448 | 1 |
0%
|
|
| 450 | 19 |
0.8%
|
|
| 453 | 1 |
0%
|
|
| 460 | 7 |
0.3%
|
|
| 464 | 2 |
0.1%
|
|
| 480 | 4 |
0.2%
|
|
| 490 | 1 |
0%
|
|
| 500 | 44 |
1.9%
|
|
| 510 | 1 |
0%
|
|
| 511 | 1 |
0%
|
|
| 522 | 1 |
0%
|
|
| 530 | 1 |
0%
|
|
| 535 | 2 |
0.1%
|
|
| 540 | 4 |
0.2%
|
|
| 550 | 3 |
0.1%
|
|
| 565 | 2 |
0.1%
|
|
| 570 | 1 |
0%
|
|
| 576 | 3 |
0.1%
|
|
| 580 | 2 |
0.1%
|
|
| 600 | 14 |
0.6%
|
|
| 638 | 1 |
0%
|
|
| 648 | 1 |
0%
|
|
| 650 | 1 |
0%
|
|
| 680 | 1 |
0%
|
|
| 700 | 9 |
0.4%
|
|
| 750 | 4 |
0.2%
|
|
| 770 | 1 |
0%
|
|
| 790 | 1 |
0%
|
|
| 795 | 1 |
0%
|
|
| 800 | 9 |
0.4%
|
|
| 805 | 1 |
0%
|
|
| 840 | 2 |
0.1%
|
|
| 850 | 1 |
0%
|
|
| 860 | 1 |
0%
|
|
| 900 | 8 |
0.3%
|
|
| 910 | 1 |
0%
|
|
| 933 | 1 |
0%
|
|
| 934 | 1 |
0%
|
|
| 939 | 1 |
0%
|
|
| 949 | 2 |
0.1%
|
|
| 950 | 3 |
0.1%
|
|
| 960 | 1 |
0%
|
|
| 980 | 2 |
0.1%
|
|
| 1000 | 26 |
1.1%
|
|
| 1020 | 1 |
0%
|
|
| 1048 | 1 |
0%
|
|
| 1050 | 3 |
0.1%
|
|
| 1100 | 1 |
0%
|
|
| 1200 | 7 |
0.3%
|
|
| 1300 | 2 |
0.1%
|
|
| 1400 | 7 |
0.3%
|
|
| 1500 | 7 |
0.3%
|
|
| 1503 | 2 |
0.1%
|
|
| 1600 | 2 |
0.1%
|
|
| 1800 | 1 |
0%
|
|
| 2000 | 2 |
0.1%
|
|
| 2005 | 1 |
0%
|
|
| 2400 | 1 |
0%
|
|
| 2520 | 1 |
0%
|
|
| 2642 | 2 |
0.1%
|
|
| 3100 | 1 |
0%
|
|
| 3500 | 1 |
0%
|
|
| 3801 | 1 |
0%
|
|
| 4145 | 1 |
0%
|
|
| 4150 | 1 |
0%
|
|
| 5540 | 1 |
0%
|
|
| 10500 | 1 |
0%
|
|
| Sysmiss | 4348 |
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.