Socio-Economic Survey 2003-2004
Cambodia, 2003 - 2005
Created on
Sep 29, 2011
Last modified
Mar 29, 2019
Page views
104066
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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
Amount spent on medical care (q14a12)
Data file: individual_info
Overview
Valid:
14009
Invalid:
60710
Type:
Discrete
Decimal:
0
Width:
12
Range:
-
Format:
Questions and instructions
Categories
| Value | Category |
|---|---|
| 0 | None |
| 500 | |
| 600 | |
| 700 | |
| 800 | |
| 900 | |
| 999 | |
| 1000 | |
| 1100 | |
| 1200 | |
| 1300 | |
| 1400 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 1900 | |
| 2000 | |
| 2100 | |
| 2200 | |
| 2300 | |
| 2400 | |
| 2500 | |
| 2600 | |
| 2700 | |
| 2800 | |
| 2900 | |
| 3000 | |
| 3100 | |
| 3200 | |
| 3300 | |
| 3400 | |
| 3500 | |
| 3600 | |
| 3700 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4100 | |
| 4200 | |
| 4300 | |
| 4400 | |
| 4500 | |
| 4600 | |
| 4700 | |
| 4800 | |
| 5000 | |
| 5200 | |
| 5300 | |
| 5400 | |
| 5500 | |
| 5600 | |
| 5700 | |
| 5800 | |
| 6000 | |
| 6200 | |
| 6250 | |
| 6300 | |
| 6400 | |
| 6500 | |
| 6600 | |
| 6700 | |
| 6800 | |
| 7000 | |
| 7200 | |
| 7300 | |
| 7500 | |
| 7600 | |
| 7700 | |
| 7800 | |
| 7900 | |
| 8000 | |
| 8100 | |
| 8200 | |
| 8400 | |
| 8500 | |
| 8700 | |
| 8800 | |
| 8900 | |
| 9000 | |
| 9100 | |
| 9200 | |
| 9300 | |
| 9400 | |
| 9500 | |
| 9600 | |
| 10000 | |
| 10500 | |
| 10900 | |
| 11000 | |
| 11200 | |
| 11500 | |
| 11600 | |
| 11900 | |
| 12000 | |
| 12300 | |
| 12400 | |
| 12500 | |
| 12700 | |
| 13000 | |
| 13200 | |
| 13500 | |
| 14000 | |
| 14200 | |
| 14500 | |
| 14600 | |
| 15000 | |
| 15200 | |
| 15300 | |
| 15500 | |
| 16000 | |
| 16500 | |
| 16600 | |
| 17000 | |
| 17500 | |
| 17800 | |
| 18000 | |
| 18200 | |
| 18500 | |
| 19000 | |
| 20000 | |
| 20400 | |
| 20600 | |
| 20700 | |
| 21000 | |
| 21800 | |
| 22000 | |
| 22300 | |
| 22500 | |
| 23000 | |
| 23500 | |
| 24000 | |
| 24500 | |
| 24700 | |
| 25000 | |
| 25500 | |
| 26000 | |
| 26500 | |
| 27000 | |
| 27200 | |
| 27500 | |
| 28000 | |
| 29000 | |
| 30000 | |
| 30600 | |
| 31000 | |
| 31200 | |
| 31500 | |
| 31600 | |
| 31800 | |
| 32000 | |
| 32500 | |
| 32800 | |
| 33000 | |
| 33600 | |
| 34000 | |
| 35000 | |
| 35500 | |
| 36000 | |
| 36200 | |
| 37000 | |
| 37500 | |
| 38000 | |
| 38400 | |
| 39000 | |
| 40000 | |
| 41000 | |
| 41200 | |
| 41500 | |
| 42000 | |
| 42200 | |
| 43000 | |
| 43700 | |
| 44000 | |
| 45000 | |
| 46000 | |
| 47000 | |
| 47500 | |
| 47600 | |
| 48000 | |
| 48500 | |
| 48700 | |
| 49000 | |
| 50000 | |
| 50400 | |
| 52000 | |
| 53000 | |
| 54000 | |
| 54500 | |
| 55000 | |
| 55200 | |
| 56000 | |
| 56500 | |
| 57500 | |
| 58000 | |
| 58500 | |
| 58600 | |
| 59000 | |
| 59300 | |
| 60000 | |
| 62000 | |
| 62500 | |
| 63000 | |
| 64000 | |
| 64400 | |
| 65000 | |
| 66000 | |
| 68000 | |
| 69000 | |
| 69500 | |
| 70000 | |
| 70500 | |
| 72000 | |
| 72500 | |
| 73000 | |
| 74000 | |
| 75000 | |
| 76000 | |
| 77000 | |
| 78000 | |
| 80000 | |
| 82000 | |
| 82500 | |
| 83500 | |
| 84200 | |
| 84500 | |
| 85000 | |
| 85500 | |
| 85900 | |
| 86000 | |
| 90000 | |
| 92000 | |
| 95000 | |
| 97000 | |
| 100000 | |
| 102000 | |
| 105000 | |
| 108000 | |
| 110000 | |
| 112000 | |
| 114000 | |
| 115000 | |
| 116000 | |
| 117000 | |
| 120000 | |
| 125000 | |
| 126000 | |
| 128000 | |
| 128600 | |
| 130000 | |
| 133000 | |
| 135000 | |
| 140000 | |
| 144400 | |
| 146000 | |
| 148000 | |
| 150000 | |
| 155000 | |
| 157000 | |
| 158000 | |
| 160000 | |
| 165100 | |
| 167000 | |
| 170000 | |
| 173000 | |
| 180000 | |
| 190000 | |
| 200000 | |
| 204400 | |
| 205000 | |
| 210000 | |
| 213000 | |
| 215000 | |
| 220000 | |
| 230000 | |
| 240000 | |
| 250000 | |
| 255000 | |
| 260000 | |
| 270000 | |
| 272000 | |
| 275000 | |
| 280000 | |
| 294000 | |
| 300000 | |
| 301500 | |
| 307000 | |
| 315000 | |
| 320000 | |
| 350000 | |
| 360000 | |
| 370000 | |
| 380000 | |
| 400000 | |
| 410000 | |
| 435000 | |
| 450000 | |
| 462000 | |
| 470000 | |
| 475000 | |
| 480000 | |
| 500000 | |
| 524000 | |
| 530000 | |
| 580000 | |
| 600000 | |
| 620000 | |
| 630000 | |
| 700000 | |
| 800000 | |
| 820000 | |
| 850000 | |
| 880000 | |
| 925000 | |
| 927800 | |
| 950000 | |
| 1000000 | |
| 1160000 | |
| 1200000 | |
| 1500000 | |
| 1600000 | |
| 1900000 | |
| 2000000 | |
| 2400000 | |
| 3000000 | |
| 3200000 | |
| 3800000 | |
| 4000000 | |
| 5000000 | |
| 6500000 | |
| 9999999 | |
| 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.