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
277340
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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
A109.1 What is the market value of the quantity harvested (cedis) (m_s4v1_109i)
Data file: MODULE 4 - PART A_MALE
Overview
Valid:
720
Invalid:
1447
Type:
Discrete
Decimal:
0
Start:
639
End:
642
Width:
4
Range:
-9 - 7078
Format:
Numeric
Questions and instructions
Literal question
What is the market value of the quantity harvested? (cedis)
Categories
| Value | Category | Cases | |
|---|---|---|---|
| -9 | DK | 1 |
0.1%
|
| 0 | 1 |
0.1%
|
|
| 3 | 1 |
0.1%
|
|
| 4 | 1 |
0.1%
|
|
| 5 | 1 |
0.1%
|
|
| 8 | 1 |
0.1%
|
|
| 10 | 1 |
0.1%
|
|
| 15 | 2 |
0.3%
|
|
| 20 | 5 |
0.7%
|
|
| 24 | 1 |
0.1%
|
|
| 25 | 1 |
0.1%
|
|
| 28 | 1 |
0.1%
|
|
| 30 | 9 |
1.3%
|
|
| 32 | 1 |
0.1%
|
|
| 35 | 2 |
0.3%
|
|
| 36 | 1 |
0.1%
|
|
| 40 | 10 |
1.4%
|
|
| 45 | 5 |
0.7%
|
|
| 48 | 2 |
0.3%
|
|
| 50 | 17 |
2.4%
|
|
| 55 | 1 |
0.1%
|
|
| 60 | 17 |
2.4%
|
|
| 64 | 1 |
0.1%
|
|
| 70 | 7 |
1%
|
|
| 75 | 6 |
0.8%
|
|
| 80 | 20 |
2.8%
|
|
| 85 | 1 |
0.1%
|
|
| 90 | 11 |
1.5%
|
|
| 100 | 32 |
4.4%
|
|
| 105 | 2 |
0.3%
|
|
| 110 | 5 |
0.7%
|
|
| 120 | 19 |
2.6%
|
|
| 124 | 1 |
0.1%
|
|
| 140 | 10 |
1.4%
|
|
| 144 | 1 |
0.1%
|
|
| 150 | 21 |
2.9%
|
|
| 160 | 13 |
1.8%
|
|
| 170 | 2 |
0.3%
|
|
| 175 | 1 |
0.1%
|
|
| 180 | 16 |
2.2%
|
|
| 190 | 2 |
0.3%
|
|
| 192 | 1 |
0.1%
|
|
| 200 | 55 |
7.6%
|
|
| 210 | 5 |
0.7%
|
|
| 216 | 1 |
0.1%
|
|
| 220 | 2 |
0.3%
|
|
| 225 | 2 |
0.3%
|
|
| 230 | 4 |
0.6%
|
|
| 240 | 12 |
1.7%
|
|
| 250 | 14 |
1.9%
|
|
| 252 | 1 |
0.1%
|
|
| 260 | 3 |
0.4%
|
|
| 264 | 1 |
0.1%
|
|
| 280 | 5 |
0.7%
|
|
| 300 | 52 |
7.2%
|
|
| 320 | 5 |
0.7%
|
|
| 324 | 1 |
0.1%
|
|
| 325 | 1 |
0.1%
|
|
| 330 | 1 |
0.1%
|
|
| 340 | 1 |
0.1%
|
|
| 350 | 7 |
1%
|
|
| 360 | 10 |
1.4%
|
|
| 370 | 2 |
0.3%
|
|
| 375 | 1 |
0.1%
|
|
| 380 | 1 |
0.1%
|
|
| 390 | 2 |
0.3%
|
|
| 400 | 48 |
6.7%
|
|
| 420 | 7 |
1%
|
|
| 440 | 3 |
0.4%
|
|
| 450 | 12 |
1.7%
|
|
| 480 | 6 |
0.8%
|
|
| 500 | 35 |
4.9%
|
|
| 520 | 2 |
0.3%
|
|
| 525 | 2 |
0.3%
|
|
| 540 | 5 |
0.7%
|
|
| 550 | 3 |
0.4%
|
|
| 560 | 3 |
0.4%
|
|
| 580 | 1 |
0.1%
|
|
| 600 | 23 |
3.2%
|
|
| 625 | 1 |
0.1%
|
|
| 630 | 2 |
0.3%
|
|
| 640 | 1 |
0.1%
|
|
| 650 | 3 |
0.4%
|
|
| 700 | 14 |
1.9%
|
|
| 720 | 5 |
0.7%
|
|
| 750 | 8 |
1.1%
|
|
| 800 | 10 |
1.4%
|
|
| 806 | 1 |
0.1%
|
|
| 850 | 1 |
0.1%
|
|
| 870 | 1 |
0.1%
|
|
| 900 | 12 |
1.7%
|
|
| 960 | 1 |
0.1%
|
|
| 975 | 1 |
0.1%
|
|
| 980 | 1 |
0.1%
|
|
| 1000 | 9 |
1.3%
|
|
| 1050 | 1 |
0.1%
|
|
| 1080 | 1 |
0.1%
|
|
| 1100 | 2 |
0.3%
|
|
| 1140 | 1 |
0.1%
|
|
| 1200 | 4 |
0.6%
|
|
| 1240 | 1 |
0.1%
|
|
| 1300 | 1 |
0.1%
|
|
| 1392 | 1 |
0.1%
|
|
| 1400 | 3 |
0.4%
|
|
| 1500 | 7 |
1%
|
|
| 1540 | 1 |
0.1%
|
|
| 1600 | 4 |
0.6%
|
|
| 1700 | 1 |
0.1%
|
|
| 1800 | 6 |
0.8%
|
|
| 1808 | 1 |
0.1%
|
|
| 2000 | 6 |
0.8%
|
|
| 2200 | 1 |
0.1%
|
|
| 2700 | 1 |
0.1%
|
|
| 3000 | 1 |
0.1%
|
|
| 3120 | 1 |
0.1%
|
|
| 3600 | 1 |
0.1%
|
|
| 3900 | 1 |
0.1%
|
|
| 4000 | 2 |
0.3%
|
|
| 4500 | 3 |
0.4%
|
|
| 4800 | 1 |
0.1%
|
|
| 6250 | 1 |
0.1%
|
|
| 6480 | 1 |
0.1%
|
|
| 7078 | 1 |
0.1%
|
|
| Sysmiss | 1447 |
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.