Living Standards Survey V 2005-2006
Ghana, 2005 - 2006
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
211955
Downloads
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- Data files
- com-list
- com-sec0
- com-sec1
- com-sec21
- com-sec22
- com-sec23
- com-sec31
- com-sec32
- com-sec33
- com-sec41
- com-sec42
- com-sec43
- com-sec51
- com-sec52
- sec0
- sec0_580
- sec1
- sec2a
- sec2b
- sec2c
- sec3a
- sec3b
- sec3c
- sec3d
- sec3e
- sec3f
- sec4a
- sec4b
- sec4c
- sec4d
- sec4e
- sec4f
- sec4g
- sec4h
- sec5a
- sec5b
- sec6
- sec6q9
- sec7
- sec8a1
- sec8a2
- sec8a3
- sec8b
- sec8c1
- sec8c2
- sec8d
- sec8e
- sec8f
- sec8g
- sec8h
- sec9a
- sec9b
- sec9c
- sec10a
- sec10b
- sec10c1
- sec10c2
- sec10d1
- sec10d2
- sec10d3
- sec10d4
- sec10e
- sec10e1
- sec10e2
- sec10f1
- sec10f2
- sec10g1
- sec10g2
- sec10h1
- sec10h2
- sec10j
- sec11a
- sec11b
- sec11c
- sec11d
- sec12a
- sec12b
- sec12c
- secb0
- secb1
- secb2
1st ent -value of item at time of purchase (1st) (s10hq3a)
Data file: sec10h1
Overview
Valid:
4622
Invalid:
63423
Type:
Discrete
Decimal:
0
Start:
32
End:
41
Width:
10
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | 0 |
| 1 | |
| 2 | |
| 3 | |
| 5 | |
| 9 | |
| 10 | |
| 20 | |
| 23 | |
| 25 | |
| 30 | |
| 50 | |
| 60 | |
| 80 | |
| 85 | |
| 100 | |
| 120 | |
| 200 | |
| 220 | |
| 300 | |
| 400 | |
| 500 | |
| 700 | |
| 800 | |
| 1000 | |
| 1200 | |
| 1500 | |
| 1600 | |
| 1666 | |
| 2000 | |
| 2500 | |
| 3000 | |
| 3500 | |
| 4000 | |
| 4500 | |
| 5000 | |
| 5500 | |
| 6000 | |
| 7000 | |
| 7500 | |
| 8000 | |
| 9000 | |
| 9800 | |
| 10000 | |
| 10500 | |
| 11000 | |
| 12000 | |
| 12600 | |
| 13000 | |
| 13500 | |
| 14000 | |
| 14500 | |
| 15000 | |
| 16000 | |
| 16500 | |
| 17000 | |
| 18000 | |
| 18333 | |
| 18500 | |
| 19000 | |
| 20000 | |
| 21000 | |
| 22000 | |
| 23000 | |
| 23500 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 29500 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 38000 | |
| 40000 | |
| 42000 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 48000 | |
| 50000 | |
| 50600 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 60000 | |
| 61000 | |
| 62000 | |
| 64000 | |
| 65000 | |
| 68000 | |
| 70000 | |
| 72000 | |
| 75000 | |
| 77000 | |
| 80000 | |
| 81000 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 86000 | |
| 90000 | |
| 91000 | |
| 92000 | |
| 94000 | |
| 95000 | |
| 96000 | |
| 97500 | |
| 98000 | |
| 100000 | |
| 105000 | |
| 110000 | |
| 113000 | |
| 115000 | |
| 120000 | |
| 125000 | |
| 128000 | |
| 130000 | |
| 131000 | |
| 135000 | |
| 140000 | |
| 143000 | |
| 150000 | |
| 155000 | |
| 156000 | |
| 160000 | |
| 168000 | |
| 170000 | |
| 172000 | |
| 180000 | |
| 182000 | |
| 190000 | |
| 200000 | |
| 204000 | |
| 207000 | |
| 210000 | |
| 215000 | |
| 220000 | |
| 228000 | |
| 230000 | |
| 240000 | |
| 250000 | |
| 259000 | |
| 260000 | |
| 265000 | |
| 270000 | |
| 280000 | |
| 285000 | |
| 290000 | |
| 299000 | |
| 300000 | |
| 305000 | |
| 310000 | |
| 320000 | |
| 335000 | |
| 340000 | |
| 350000 | |
| 360000 | |
| 370000 | |
| 380000 | |
| 390000 | |
| 400000 | |
| 410000 | |
| 420000 | |
| 425000 | |
| 430000 | |
| 435000 | |
| 440000 | |
| 445000 | |
| 450000 | |
| 455000 | |
| 457000 | |
| 480000 | |
| 488000 | |
| 490000 | |
| 500000 | |
| 510000 | |
| 520000 | |
| 530000 | |
| 550000 | |
| 560000 | |
| 580000 | |
| 600000 | |
| 610000 | |
| 640000 | |
| 650000 | |
| 700000 | |
| 710000 | |
| 735000 | |
| 750000 | |
| 770000 | |
| 780000 | |
| 798000 | |
| 800000 | |
| 820000 | |
| 840000 | |
| 850000 | |
| 900000 | |
| 950000 | |
| 960000 | |
| 985000 | |
| 990000 | |
| 990003 | |
| 1000000 | |
| 1020000 | |
| 1050000 | |
| 1070000 | |
| 1100000 | |
| 1200000 | |
| 1227000 | |
| 1250000 | |
| 1300000 | |
| 1386000 | |
| 1400000 | |
| 1500000 | |
| 1510000 | |
| 1600000 | |
| 1700000 | |
| 1770000 | |
| 1800000 | |
| 1900000 | |
| 1929000 | |
| 1950000 | |
| 2000000 | |
| 2200000 | |
| 2300000 | |
| 2340000 | |
| 2400000 | |
| 2500000 | |
| 2600000 | |
| 2800000 | |
| 2900000 | |
| 3000000 | |
| 3200000 | |
| 3500000 | |
| 3600000 | |
| 3700000 | |
| 3800000 | |
| 4000000 | |
| 4020000 | |
| 4060000 | |
| 4200000 | |
| 4300000 | |
| 4500000 | |
| 4600000 | |
| 4700000 | |
| 4800000 | |
| 5000000 | |
| 5400000 | |
| 5500000 | |
| 5600000 | |
| 5800000 | |
| 6000000 | |
| 6070000 | |
| 6200000 | |
| 6250000 | |
| 6800000 | |
| 7000000 | |
| 7315000 | |
| 7500000 | |
| 8000000 | |
| 8500000 | |
| 9000000 | |
| 10000000 | |
| 11000000 | |
| 11200000 | |
| 12000000 | |
| 14500000 | |
| 15000000 | |
| 16000000 | |
| 17000000 | |
| 17500000 | |
| 18000000 | |
| 19000000 | |
| 20000000 | |
| 22000000 | |
| 25000000 | |
| 26000000 | |
| 30000000 | |
| 32000000 | |
| 35000000 | |
| 36000000 | |
| 40000000 | |
| 45000000 | |
| 50000000 | |
| 55000000 | |
| 60000000 | |
| 69000000 | |
| 70000000 | |
| 80000000 | |
| 85000000 | |
| 100000000 | |
| 120000000 | |
| 150000000 | |
| 160000000 | |
| 180000000 | |
| 200000000 | |
| 300000000 | |
| 500000000 | |
| 1000000000 | |
| 1800000000 | |
| 2000000000 | |
| 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.