Socio-Economic Survey 2003-2004
Cambodia, 2003 - 2005
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
182995
Downloads
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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
Building/Amount spent in materials (riels) (q08_15)
Data file: x291cses
Overview
Valid:
1126
Invalid:
13222
Type:
Discrete
Decimal:
0
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | Nothing |
| 98 | DK |
| 2000 | |
| 2500 | |
| 3000 | |
| 3500 | |
| 4000 | |
| 5000 | |
| 6000 | |
| 6500 | |
| 7000 | |
| 7500 | |
| 7900 | |
| 8000 | |
| 9000 | |
| 10000 | |
| 11500 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 14000 | |
| 15000 | |
| 16000 | |
| 17500 | |
| 20000 | |
| 21000 | |
| 23500 | |
| 24000 | |
| 24500 | |
| 25000 | |
| 26000 | |
| 27000 | |
| 28000 | |
| 30000 | |
| 31000 | |
| 32000 | |
| 32500 | |
| 33000 | |
| 34000 | |
| 35000 | |
| 35300 | |
| 36000 | |
| 37500 | |
| 38000 | |
| 39000 | |
| 40000 | |
| 43000 | |
| 45000 | |
| 46200 | |
| 48000 | |
| 50000 | |
| 52000 | |
| 54000 | |
| 55000 | |
| 60000 | |
| 62500 | |
| 64000 | |
| 66000 | |
| 70000 | |
| 70500 | |
| 72000 | |
| 75000 | |
| 80000 | |
| 85000 | |
| 87000 | |
| 90000 | |
| 100000 | |
| 106000 | |
| 110000 | |
| 112000 | |
| 120000 | |
| 122000 | |
| 130000 | |
| 132000 | |
| 140000 | |
| 150000 | |
| 151000 | |
| 160000 | |
| 170000 | |
| 180000 | |
| 200000 | |
| 210000 | |
| 215000 | |
| 220000 | |
| 227500 | |
| 230000 | |
| 232800 | |
| 240000 | |
| 250000 | |
| 260000 | |
| 261000 | |
| 270000 | |
| 280000 | |
| 280800 | |
| 285000 | |
| 290000 | |
| 292000 | |
| 300000 | |
| 313900 | |
| 320000 | |
| 330000 | |
| 350000 | |
| 369000 | |
| 370000 | |
| 378900 | |
| 400000 | |
| 420000 | |
| 428000 | |
| 430000 | |
| 450000 | |
| 480000 | |
| 500000 | |
| 520000 | |
| 550000 | |
| 570000 | |
| 600000 | |
| 605000 | |
| 620000 | |
| 640000 | |
| 650000 | |
| 670000 | |
| 700000 | |
| 740000 | |
| 800000 | |
| 820000 | |
| 824500 | |
| 840000 | |
| 850000 | |
| 880000 | |
| 900000 | |
| 925000 | |
| 930000 | |
| 980000 | |
| 984000 | |
| 1000000 | |
| 1050000 | |
| 1092000 | |
| 1100000 | |
| 1110000 | |
| 1150000 | |
| 1157500 | |
| 1200000 | |
| 1230000 | |
| 1240000 | |
| 1268500 | |
| 1280000 | |
| 1300000 | |
| 1400000 | |
| 1443200 | |
| 1500000 | |
| 1600000 | |
| 1616000 | |
| 1670000 | |
| 1700000 | |
| 1760000 | |
| 1800000 | |
| 1880000 | |
| 1930000 | |
| 2000000 | |
| 2100000 | |
| 2300000 | |
| 2400000 | |
| 2465000 | |
| 2500000 | |
| 2600000 | |
| 2690000 | |
| 2700000 | |
| 2721000 | |
| 2750000 | |
| 2800000 | |
| 3000000 | |
| 3150000 | |
| 3200000 | |
| 3300000 | |
| 3450000 | |
| 3500000 | |
| 3520000 | |
| 3600000 | |
| 3850000 | |
| 4000000 | |
| 4500000 | |
| 5000000 | |
| 5200000 | |
| 5300000 | |
| 5450000 | |
| 5500000 | |
| 5600000 | |
| 5750000 | |
| 5950000 | |
| 6000000 | |
| 6050000 | |
| 6500000 | |
| 6550000 | |
| 7200000 | |
| 7500000 | |
| 7600000 | |
| 7700000 | |
| 7790000 | |
| 8000000 | |
| 8800000 | |
| 9000000 | |
| 9200000 | |
| 10000000 | |
| 10127000 | |
| 11000000 | |
| 11200000 | |
| 11300000 | |
| 11400000 | |
| 12000000 | |
| 12500000 | |
| 13000000 | |
| 14400000 | |
| 15000000 | |
| 15500000 | |
| 16000000 | |
| 17890000 | |
| 18000000 | |
| 20000000 | |
| 20375000 | |
| 22000000 | |
| 22560000 | |
| 22800000 | |
| 23200000 | |
| 23300000 | |
| 29800000 | |
| 30000000 | |
| 32000000 | |
| 34400000 | |
| 36000000 | |
| 36160000 | |
| 52000000 | |
| 80000000 | |
| 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.