Ghana - Ghana Living Standard Survey 4 - 1998, With labour force model
Reference ID | GHA-GSS-GLSS 4-1998-v2.0 |
Year | 1998 - 1999 |
Country | Ghana |
Producer(s) | Ghana Statistical Service (GSS) - Office of the President |
Sponsor(s) | Government of Ghana - GoG - Logistical assistance World Bank - WB - Financial and technical assistance European Commision - EC - Technical assistance |
Metadata |
![]() |
Created on
Apr 06, 2009
Last modified
Mar 21, 2016
Page views
2067818
- sec1-Household Roste
r - sec2a- General Educa
tion - sec2b-Educational Ca
reer - sec2c-Literacy and A
pprenticeship - sec3a-Health Conditi
ons - sec3b- Preventive He
alth and Immunisatio
n - sec3c-Postnatal Care
- Sec3d-Prenatal care-
contraceptive use - sec4a-Activity Statu
s and Charcteristics
of Main Job - Sec4b-Main occupatio
n - Sec4c-Secondary occu
pation - sec4d-Underemploymen
t - Sec4e-Fourth occupat
ion - Sec4e-Employment sea
rch - Sec4g-Activity statu
s in the past 2 week
s - Sec4g-Employment his
tory - sec4i-Housekeeping A
ctivities - sec5a-Migration
- sec7-Housing Charact
eristics - sec8c1-Harvest and D
isposal of Crops (st
aple grains) - sec8c2-Harvest and D
isposal of Crops (ro
ots, vegetables) - sec8d-Seasonality of
Sales and Purchases - sec8e-Other Agricult
ural Income - sec8f-Agricultural C
osts and Expenses - sec8h-Consumption of
Own Produce - sec9a-Non-food Expen
ses (Less frequently
purchased items) - sec9b-Non Food Expen
ses (frequently purc
hased items) - Sec10a-Basic charact
eristics of non farm
enterpriise - Sec10b-Expenditures
-1st, 2nd and 3rd en
terprises - Sec10c1-Assets -1st,
2nd and 3rd enterpr
ises - Sec10c2-Revenue of t
he enterprise - Sec10e-Net income an
d revenue of the ent
erprise - Sec11a1-Transfer pay
ment made by househo
ld - Sec11a2-Transfer pay
ment made by househo
ld - Sec11b1-Income from
transfers - Sec11b2-Income from
transfers - Sec11c- Miscelleneou
s income - Sec11d- Miscelleneou
s outgoings - Sec12a1-Credits
- Sec12a2-Credits
- Sec12b-Assets and du
rable consumer goode - Sec12c-Savings
Total value of food received
(s11bq10)
File: Sec11b2-Income from transfers
File: Sec11b2-Income from transfers
Overview
Type:
Discrete Format: numeric Width: 8 Decimals: 2 Range: 0-6000000 | Valid cases: 4055 (3934) Invalid: 116 (119) Minimum: 0 Maximum: 6000000 Mean: 34505.1 (37037.1) Standard deviation: 142440.7 (141981.4) |
Questions and instructions
Literal question
Total value of food received
Categories
Value | Category | Cases | Weighted | |
---|---|---|---|---|
0 | 2545 | 2448 | ![]() | |
400 | 1 | 1 | ![]() | |
500 | 1 | 1 | ![]() | |
1000 | 12 | 9 | ![]() | |
1200 | 1 | 1 | ![]() | |
1400 | 1 | 1 | ![]() | |
1500 | 5 | 3 | ![]() | |
2000 | 24 | 17 | ![]() | |
2100 | 1 | 0 | ![]() | |
2300 | 1 | 1 | ![]() | |
2400 | 1 | 1 | ![]() | |
2500 | 3 | 3 | ![]() | |
2800 | 1 | 1 | ![]() | |
3000 | 11 | 12 | ![]() | |
3200 | 2 | 3 | ![]() | |
3500 | 5 | 8 | ![]() | |
4000 | 12 | 11 | ![]() | |
4200 | 3 | 2 | ![]() | |
4300 | 1 | 1 | ![]() | |
4500 | 2 | 2 | ![]() | |
4800 | 2 | 2 | ![]() | |
5000 | 52 | 40 | ![]() | |
5400 | 2 | 2 | ![]() | |
5600 | 1 | 0 | ![]() | |
5700 | 1 | 1 | ![]() | |
6000 | 34 | 28 | ![]() | |
6100 | 1 | 1 | ![]() | |
6600 | 1 | 1 | ![]() | |
7000 | 5 | 7 | ![]() | |
7200 | 1 | 1 | ![]() | |
7400 | 2 | 1 | ![]() | |
7500 | 1 | 1 | ![]() | |
7600 | 2 | 4 | ![]() | |
8000 | 14 | 13 | ![]() | |
8400 | 1 | 1 | ![]() | |
8800 | 1 | 0 | ![]() | |
9000 | 4 | 3 | ![]() | |
9600 | 1 | 1 | ![]() | |
9800 | 1 | 1 | ![]() | |
10000 | 109 | 108 | ![]() | |
10200 | 1 | 1 | ![]() | |
10500 | 3 | 2 | ![]() | |
10600 | 1 | 1 | ![]() | |
11000 | 4 | 4 | ![]() | |
12000 | 28 | 23 | ![]() | |
12600 | 1 | 1 | ![]() | |
12800 | 1 | 1 | ![]() | |
13000 | 4 | 4 | ![]() | |
13700 | 1 | 1 | ![]() | |
14000 | 2 | 2 | ![]() | |
15000 | 64 | 60 | ![]() | |
16000 | 6 | 9 | ![]() | |
16300 | 1 | 3 | ![]() | |
16800 | 1 | 1 | ![]() | |
17000 | 1 | 1 | ![]() | |
17500 | 1 | 1 | ![]() | |
18000 | 7 | 6 | ![]() | |
18500 | 1 | 1 | ![]() | |
19000 | 2 | 2 | ![]() | |
19200 | 1 | 0 | ![]() | |
20000 | 120 | 114 | ![]() | |
20800 | 1 | 1 | ![]() | |
21000 | 5 | 4 | ![]() | |
21600 | 1 | 2 | ![]() | |
22000 | 2 | 2 | ![]() | |
22600 | 1 | 1 | ![]() | |
23000 | 1 | 1 | ![]() | |
23200 | 1 | 1 | ![]() | |
24000 | 13 | 12 | ![]() | |
25000 | 25 | 21 | ![]() | |
25200 | 1 | 2 | ![]() | |
26000 | 4 | 4 | ![]() | |
28000 | 4 | 4 | ![]() | |
30000 | 77 | 87 | ![]() | |
31500 | 1 | 1 | ![]() | |
32250 | 1 | 3 | ![]() | |
35000 | 10 | 12 | ![]() | |
36000 | 4 | 3 | ![]() | |
36100 | 1 | 1 | ![]() | |
37400 | 1 | 0 | ![]() | |
38000 | 2 | 1 | ![]() | |
40000 | 66 | 66 | ![]() | |
42000 | 6 | 6 | ![]() | |
42500 | 1 | 1 | ![]() | |
45000 | 9 | 9 | ![]() | |
46000 | 2 | 2 | ![]() | |
47600 | 1 | 1 | ![]() | |
48000 | 5 | 5 | ![]() | |
50000 | 135 | 129 | ![]() | |
52000 | 2 | 1 | ![]() | |
54000 | 1 | 1 | ![]() | |
55000 | 2 | 1 | ![]() | |
58000 | 1 | 1 | ![]() | |
60000 | 62 | 64 | ![]() | |
60800 | 1 | 1 | ![]() | |
64000 | 3 | 2 | ![]() | |
65000 | 2 | 7 | ![]() | |
70000 | 9 | 7 | ![]() | |
72000 | 1 | 1 | ![]() | |
78000 | 3 | 3 | ![]() | |
80000 | 33 | 33 | ![]() | |
84000 | 2 | 2 | ![]() | |
85000 | 1 | 1 | ![]() | |
88000 | 1 | 1 | ![]() | |
90000 | 4 | 4 | ![]() | |
95000 | 1 | 1 | ![]() | |
96000 | 4 | 2 | ![]() | |
100000 | 109 | 124 | ![]() | |
104000 | 3 | 3 | ![]() | |
105000 | 1 | 1 | ![]() | |
110000 | 1 | 1 | ![]() | |
114000 | 1 | 1 | ![]() | |
120000 | 33 | 31 | ![]() | |
124800 | 1 | 1 | ![]() | |
130000 | 4 | 2 | ![]() | |
140000 | 2 | 2 | ![]() | |
150000 | 46 | 58 | ![]() | |
160800 | 1 | 0 | ![]() | |
164000 | 1 | 1 | ![]() | |
168000 | 2 | 3 | ![]() | |
175000 | 1 | 1 | ![]() | |
180000 | 7 | 7 | ![]() | |
182000 | 4 | 1 | ![]() | |
184000 | 1 | 2 | ![]() | |
192000 | 1 | 1 | ![]() | |
200000 | 51 | 50 | ![]() | |
205200 | 1 | 1 | ![]() | |
208000 | 2 | 3 | ![]() | |
210000 | 3 | 3 | ![]() | |
220000 | 1 | 0 | ![]() | |
240000 | 14 | 13 | ![]() | |
250000 | 10 | 11 | ![]() | |
255000 | 1 | 1 | ![]() | |
260000 | 3 | 4 | ![]() | |
288000 | 1 | 1 | ![]() | |
300000 | 28 | 31 | ![]() | |
312000 | 1 | 1 | ![]() | |
350000 | 2 | 2 | ![]() | |
355000 | 1 | 2 | ![]() | |
360000 | 13 | 10 | ![]() | |
364000 | 2 | 2 | ![]() | |
365000 | 3 | 7 | ![]() | |
370000 | 1 | 0 | ![]() | |
400000 | 9 | 6 | ![]() | |
440000 | 1 | 1 | ![]() | |
450000 | 2 | 1 | ![]() | |
474000 | 1 | 1 | ![]() | |
480000 | 3 | 2 | ![]() | |
500000 | 17 | 16 | ![]() | |
520000 | 2 | 1 | ![]() | |
546000 | 1 | 1 | ![]() | |
547500 | 1 | 1 | ![]() | |
600000 | 5 | 6 | ![]() | |
620000 | 1 | 1 | ![]() | |
636000 | 1 | 1 | ![]() | |
672000 | 1 | 2 | ![]() | |
700000 | 2 | 2 | ![]() | |
720000 | 1 | 1 | ![]() | |
730000 | 2 | 6 | ![]() | |
750000 | 1 | 1 | ![]() | |
780000 | 2 | 2 | ![]() | |
820000 | 1 | 1 | ![]() | |
1000000 | 3 | 3 | ![]() | |
1095000 | 3 | 7 | ![]() | |
1200000 | 1 | 1 | ![]() | |
1820000 | 1 | 1 | ![]() | |
3000000 | 1 | 1 | ![]() | |
6000000 | 1 | 1 | ![]() | |
Sysmiss | 116 | 119 |
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.