Socio-Economic Survey 2003-2004
Cambodia, 2003 - 2005
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
183572
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- Data files
- 00_All_Income
- consumption_keyvar
- farmproduction
- household_info
- individual_info
- vil_sec02_5
- vil_sec02_6
- vil_sec02_15
- vil_sec02_19
- vil_sec02_21
- vil_sec02_22
- vil_sec03_6
- vil_sec05
- vil_sec06a
- vil_sec06b
- vil_sec06c
- vil_sec07
- vil_sec08
- vil_sec09a
- vil_sec09b
- village_info
- x011cses
- x021cses
- x031cses
- x041cses
- x051cses
- x061cses
- x071cses
- x081cses
- x091cses
- x101cses
- x111cses
- x121cses
- x131cses
- x141cses
- x151cses
- x161cses
- x171cses
- x181cses
- x191cses
- x201cses
- x211cses
- x221cses
- x231cses
- x241cses
- x251cses
- x261cses
- x271cses
- x281cses
- x291cses
- x501cses
1stOccup/Average wages-per-month (q13c08c1)
Data file: x021cses
Overview
Valid:
7971
Invalid:
66748
Type:
Discrete
Decimal:
0
Width:
7
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 98 | Not given |
| 2500 | |
| 2800 | |
| 3500 | |
| 4000 | |
| 5000 | |
| 6000 | |
| 7440 | |
| 7500 | |
| 8000 | |
| 8400 | |
| 9000 | |
| 9900 | |
| 10000 | |
| 10500 | |
| 10700 | |
| 11000 | |
| 12000 | |
| 12500 | |
| 14000 | |
| 14400 | |
| 15000 | |
| 15500 | |
| 16000 | |
| 16500 | |
| 18000 | |
| 20000 | |
| 21000 | |
| 21500 | |
| 22000 | |
| 22500 | |
| 23500 | |
| 24000 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 30000 | |
| 32000 | |
| 33000 | |
| 34900 | |
| 35000 | |
| 36000 | |
| 37500 | |
| 38000 | |
| 38200 | |
| 38500 | |
| 39000 | |
| 39600 | |
| 40000 | |
| 40300 | |
| 41000 | |
| 43000 | |
| 45000 | |
| 45300 | |
| 46000 | |
| 46900 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 49500 | |
| 50000 | |
| 51000 | |
| 51500 | |
| 52000 | |
| 52500 | |
| 53000 | |
| 54000 | |
| 54500 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 58000 | |
| 59800 | |
| 60000 | |
| 62400 | |
| 63000 | |
| 64000 | |
| 64600 | |
| 65000 | |
| 66000 | |
| 67000 | |
| 67500 | |
| 67800 | |
| 68000 | |
| 68300 | |
| 69000 | |
| 70000 | |
| 70500 | |
| 71500 | |
| 72000 | |
| 72500 | |
| 73000 | |
| 73500 | |
| 75000 | |
| 75200 | |
| 76000 | |
| 78000 | |
| 79000 | |
| 79400 | |
| 80000 | |
| 80500 | |
| 83000 | |
| 84000 | |
| 85000 | |
| 85400 | |
| 86000 | |
| 87000 | |
| 87300 | |
| 87500 | |
| 88000 | |
| 89000 | |
| 89700 | |
| 90000 | |
| 90200 | |
| 90400 | |
| 90500 | |
| 91000 | |
| 92000 | |
| 92500 | |
| 93000 | |
| 93700 | |
| 94000 | |
| 94600 | |
| 95000 | |
| 95800 | |
| 96000 | |
| 96400 | |
| 96700 | |
| 96800 | |
| 97000 | |
| 97500 | |
| 97700 | |
| 98000 | |
| 98500 | |
| 98900 | |
| 99900 | |
| 100000 | |
| 100500 | |
| 100600 | |
| 102000 | |
| 102500 | |
| 103000 | |
| 103268 | |
| 103900 | |
| 104000 | |
| 104600 | |
| 105000 | |
| 105700 | |
| 106000 | |
| 106800 | |
| 107000 | |
| 107200 | |
| 108000 | |
| 108500 | |
| 108800 | |
| 109000 | |
| 109500 | |
| 110000 | |
| 110200 | |
| 110400 | |
| 111500 | |
| 112000 | |
| 112400 | |
| 112500 | |
| 112700 | |
| 113000 | |
| 113900 | |
| 114000 | |
| 114200 | |
| 114500 | |
| 115000 | |
| 115200 | |
| 115400 | |
| 115500 | |
| 116000 | |
| 116500 | |
| 116900 | |
| 117000 | |
| 117500 | |
| 117600 | |
| 117900 | |
| 118000 | |
| 118500 | |
| 119000 | |
| 119500 | |
| 119600 | |
| 119700 | |
| 120000 | |
| 120200 | |
| 120500 | |
| 120600 | |
| 120800 | |
| 120900 | |
| 121000 | |
| 122000 | |
| 122200 | |
| 122400 | |
| 122500 | |
| 122700 | |
| 123000 | |
| 123200 | |
| 123500 | |
| 123600 | |
| 123700 | |
| 123800 | |
| 123900 | |
| 124000 | |
| 124700 | |
| 125000 | |
| 125400 | |
| 125900 | |
| 126000 | |
| 126400 | |
| 126500 | |
| 127000 | |
| 127500 | |
| 128000 | |
| 128600 | |
| 128700 | |
| 128900 | |
| 129000 | |
| 129900 | |
| 130000 | |
| 130600 | |
| 130700 | |
| 130900 | |
| 131000 | |
| 131600 | |
| 131700 | |
| 132000 | |
| 132500 | |
| 132600 | |
| 132700 | |
| 133000 | |
| 133900 | |
| 134000 | |
| 134500 | |
| 134600 | |
| 134800 | |
| 135000 | |
| 135500 | |
| 135600 | |
| 136000 | |
| 136200 | |
| 136500 | |
| 137000 | |
| 137200 | |
| 137500 | |
| 137720 | |
| 138000 | |
| 138780 | |
| 139900 | |
| 140000 | |
| 140500 | |
| 140600 | |
| 140800 | |
| 141000 | |
| 141500 | |
| 141900 | |
| 142000 | |
| 142500 | |
| 143000 | |
| 143290 | |
| 144000 | |
| 144500 | |
| 145000 | |
| 145400 | |
| 146400 | |
| 147000 | |
| 148000 | |
| 148500 | |
| 148900 | |
| 150000 | |
| 150500 | |
| 151800 | |
| 152000 | |
| 152800 | |
| 153000 | |
| 153500 | |
| 153900 | |
| 154000 | |
| 154500 | |
| 156000 | |
| 156400 | |
| 156500 | |
| 156800 | |
| 156900 | |
| 157000 | |
| 158000 | |
| 158300 | |
| 158600 | |
| 159000 | |
| 160000 | |
| 160400 | |
| 160800 | |
| 161200 | |
| 162000 | |
| 163000 | |
| 164000 | |
| 165000 | |
| 168000 | |
| 170000 | |
| 170300 | |
| 170500 | |
| 170700 | |
| 172000 | |
| 173000 | |
| 174000 | |
| 175000 | |
| 175500 | |
| 176000 | |
| 177000 | |
| 178000 | |
| 180000 | |
| 182000 | |
| 184000 | |
| 185000 | |
| 186500 | |
| 187300 | |
| 188000 | |
| 189000 | |
| 190000 | |
| 192000 | |
| 192700 | |
| 195000 | |
| 196000 | |
| 198500 | |
| 200000 | |
| 201500 | |
| 204000 | |
| 208000 | |
| 210000 | |
| 212000 | |
| 215000 | |
| 220000 | |
| 221500 | |
| 225000 | |
| 228000 | |
| 230000 | |
| 232000 | |
| 234000 | |
| 236000 | |
| 237000 | |
| 240000 | |
| 242000 | |
| 246000 | |
| 247000 | |
| 248000 | |
| 250000 | |
| 252000 | |
| 254500 | |
| 256000 | |
| 260000 | |
| 264000 | |
| 267000 | |
| 268000 | |
| 270000 | |
| 272000 | |
| 276000 | |
| 276500 | |
| 278000 | |
| 280000 | |
| 282000 | |
| 286000 | |
| 288000 | |
| 290000 | |
| 292000 | |
| 297000 | |
| 300000 | |
| 301000 | |
| 302000 | |
| 304000 | |
| 310000 | |
| 312000 | |
| 319200 | |
| 320000 | |
| 323000 | |
| 328000 | |
| 330000 | |
| 336000 | |
| 340000 | |
| 350000 | |
| 352000 | |
| 355000 | |
| 360000 | |
| 362700 | |
| 370000 | |
| 372000 | |
| 377000 | |
| 380000 | |
| 399000 | |
| 400000 | |
| 420000 | |
| 440000 | |
| 450000 | |
| 460000 | |
| 470000 | |
| 480000 | |
| 485000 | |
| 490000 | |
| 492000 | |
| 500000 | |
| 520000 | |
| 530000 | |
| 540000 | |
| 540600 | |
| 550000 | |
| 560000 | |
| 570000 | |
| 580000 | |
| 592000 | |
| 600000 | |
| 603000 | |
| 620000 | |
| 621000 | |
| 624000 | |
| 635000 | |
| 640000 | |
| 650000 | |
| 660000 | |
| 670000 | |
| 680000 | |
| 700000 | |
| 718200 | |
| 720000 | |
| 744000 | |
| 750000 | |
| 756000 | |
| 760000 | |
| 770000 | |
| 775000 | |
| 780000 | |
| 800000 | |
| 820000 | |
| 840000 | |
| 850000 | |
| 870000 | |
| 880000 | |
| 900000 | |
| 910000 | |
| 920000 | |
| 950000 | |
| 960000 | |
| 980000 | |
| 1000000 | |
| 1000010 | |
| 1040000 | |
| 1080000 | |
| 1115000 | |
| 1120000 | |
| 1128000 | |
| 1200000 | |
| 1300000 | |
| 1320000 | |
| 1359000 | |
| 1397700 | |
| 1400000 | |
| 1410000 | |
| 1440000 | |
| 1500000 | |
| 1540000 | |
| 1560000 | |
| 1600000 | |
| 1800000 | |
| 1930000 | |
| 1935000 | |
| 2000000 | |
| 2280000 | |
| 2400000 | |
| 2440000 | |
| 2600000 | |
| 2800000 | |
| 2860000 | |
| 3080000 | |
| 3120000 | |
| 3200000 | |
| 4000000 | |
| 4400000 | |
| 4800000 | |
| 6000000 | |
| 6800000 | |
| 8000000 | |
| 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.