Socio-Economic Survey 2003-2004
Cambodia, 2003 - 2005
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
101839
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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
Value in-kind expenditure (riels) (q07b04)
Data file: x281cses
Overview
Valid:
74920
Invalid:
0
Type:
Discrete
Decimal:
0
Width:
8
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | None |
| 300 | |
| 400 | |
| 500 | |
| 600 | |
| 700 | |
| 800 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1350 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 2000 | |
| 2100 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3200 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 4000 | |
| 4200 | |
| 4500 | |
| 4700 | |
| 4800 | |
| 4900 | |
| 5000 | |
| 5200 | |
| 5300 | |
| 5500 | |
| 5600 | |
| 5800 | |
| 5900 | |
| 6000 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6700 | |
| 6750 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7500 | |
| 7600 | |
| 7800 | |
| 8000 | |
| 8400 | |
| 8500 | |
| 8600 | |
| 8700 | |
| 8800 | |
| 8900 | |
| 9000 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 10300 | |
| 10400 | |
| 10500 | |
| 10800 | |
| 11000 | |
| 12000 | |
| 12200 | |
| 12300 | |
| 12500 | |
| 12600 | |
| 12800 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 13600 | |
| 14000 | |
| 14250 | |
| 14400 | |
| 14500 | |
| 14700 | |
| 14800 | |
| 15000 | |
| 15600 | |
| 15750 | |
| 16000 | |
| 16100 | |
| 16500 | |
| 16800 | |
| 17000 | |
| 17500 | |
| 17600 | |
| 18000 | |
| 19000 | |
| 19200 | |
| 19500 | |
| 20000 | |
| 21000 | |
| 21375 | |
| 21500 | |
| 21600 | |
| 22000 | |
| 22400 | |
| 22500 | |
| 23000 | |
| 24000 | |
| 24500 | |
| 24600 | |
| 25000 | |
| 26000 | |
| 26400 | |
| 27000 | |
| 27500 | |
| 27750 | |
| 28000 | |
| 28500 | |
| 29250 | |
| 30000 | |
| 30500 | |
| 31000 | |
| 31200 | |
| 31500 | |
| 32000 | |
| 32600 | |
| 33000 | |
| 33500 | |
| 34000 | |
| 35000 | |
| 36000 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 38400 | |
| 39000 | |
| 40000 | |
| 41000 | |
| 41500 | |
| 42000 | |
| 42750 | |
| 43000 | |
| 44000 | |
| 45000 | |
| 47000 | |
| 48000 | |
| 49000 | |
| 50000 | |
| 53000 | |
| 55000 | |
| 56000 | |
| 57000 | |
| 60000 | |
| 61000 | |
| 64000 | |
| 65000 | |
| 66500 | |
| 68500 | |
| 70000 | |
| 72000 | |
| 74000 | |
| 75000 | |
| 77000 | |
| 78000 | |
| 80000 | |
| 80600 | |
| 82000 | |
| 84000 | |
| 85000 | |
| 88000 | |
| 90000 | |
| 95000 | |
| 100000 | |
| 103500 | |
| 104000 | |
| 105000 | |
| 106000 | |
| 110000 | |
| 120000 | |
| 127000 | |
| 128000 | |
| 130000 | |
| 140000 | |
| 150000 | |
| 160000 | |
| 170000 | |
| 180000 | |
| 188000 | |
| 190000 | |
| 195000 | |
| 200000 | |
| 210000 | |
| 240000 | |
| 250000 | |
| 270000 | |
| 294000 | |
| 300000 | |
| 350000 | |
| 360000 | |
| 400000 | |
| 452000 | |
| 468000 | |
| 500000 | |
| 510000 | |
| 558000 | |
| 592500 | |
| 600000 | |
| 610000 | |
| 700000 | |
| 750000 | |
| 800000 | |
| 850000 | |
| 1000000 | |
| 1200000 |
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.