Labor Force Survey 2000
DDI-KHM-NIS-LF-2000-v13
Lim Penh
Suy Sotheara
Saint Lundy
2009-09-28
Metadata Editor
Cambodia Labor Force Survey 2000
CLF 2000
Angkat Kamlaing Pulkam 2000
KHM-NIS-LF-2000-v01
National Institute of Statistics
Dr. V.N. Gnanathurai
Dr. Bishnu Dev Pant
Ms. G. Cubinar
(c) 2000, National Institute of Statistics
Metadata Editor
Asian Development Bank
TA 3293/CAM
Director, Demographic Statistics Census and Survey Department
Data User Service Center
Labor Force Survey [hh/lfs]
- v01: Edited and anonymized data.
LABOUR AND EMPLOYMENT [3]
EDUCATION [6]
Cambodia
National, Urban, Rural, All of provinces in Cambodia (24 Provinces)
Individuals
Sample survey data [ssd]
National Institute of Statistics
Face-to-face [f2f]
The field control procedures provided for the supervisors to inspect and make on the spot checks while the interview was being conducted and they were also required to re-interview a sub-sample of the households already interviewed by the enumerators under his supervision. To ensure effective supervision through inspections and re-interviews, adequate funds were allocated for the payment of honoraria to supervisors for their supervisory duties. Some of the core group staff functioned as area coordinators and they were in over all charge of supervision as well as the coordination of the areas assigned to them.
The sampling design used in LF 2000 is not self-weighting. Therefore it was necessary to calculate the weights or inflation factors applicable to both villages and households of each sampled village, before the data for villages or households were aggregated. The weights for estimation of the aggregates were computed (or the villages and households in the 24 domains,or 24 provinces, into which the country is divided. The need to adjust the weights for non-response did not arise as completed questionnaires from all sampled villages and households were retrieved achieving a 100% response rate. Inflation factors were checked for each domain by comparison of the sum of the weighting factors of all sampled households which constitute an estimate of the total number of households in the domain against the total number of households for the domain in the sampling frame. The weighting factors (WEIGHT) with the corresponding identifiers of villages and households were fed as an input into the computer to be merged with the data files.
Despite the length of the questionnaire, the respondents cooperated with the survey staff and provided answers to both questionnaires and it was possible to achieve a 100% response rate. At this stage it is not possible to comment on item non-response, and completeness of information provided by the respondents, and the respondent's fatigue arising from the length of the interviews which may have had a bearing on these issues.
The Statistics Law Article 22 specifies matters of confidentiality. It explicitly says that all staff working with statistics within the Government of Cambodia "shall ensure confidentiality of all individual information obtained from respondents, except under special circumstances with the consent of the Minister of Planning. The information collected under this Law is to be used only for statistical purposes."
Director General
Director, ICT Department
The user of the data acknowledges that the National Institute of Statistics, Cambodia bears no responsibility for use of the data or for interpretations or inferences based upon such uses.
lfs2000Final.NSDstat
27250
31
Nesstar 200801
National Institute of Statistics
Version 1.0
ID and Weight
Demographics
Persons who are living in resident household
ALL PERSONS (All ages)
Education
For persons 10 years old and over
Employment
For persons 10 years old and over
Province/City
Province/City
Write the name of the province where the sample village is located. Enter the 2-digit province code in the corresponding code boxes.
27250
10799930.514
0
0
1
24
1
Banteay Meanchey
1217
586138.603
2
Battambang
1328
688216.283
3
Kampong Cham
2627
1485293.008
4
Kampong Chhnang
968
371534.141
5
Kampong Speu
1957
610320.309
6
Kampong Thom
1295
504818.888
7
Kampot
738
495122.029
8
Kandal
1757
1127884.146
9
Koh Kong
251
107611.811
10
Kratie
810
231733.218
11
Mondul Kiri
191
26486.594
12
Phnom Penh
3811
842132.821
13
Preah Vihear
544
114341.238
14
Prey Veng
1705
926215.203
15
Pursat
1074
315402.279
16
Ratanak Kiri
324
82734.55
17
Siemreap
1770
647738.341
18
Sihanoukville
728
121227.329
19
Stung Treng
347
93131.056
20
Svay Rieng
1101
520084.274
21
Takeo
1862
814774.559
22
Oddar Meanchey
270
36541.504
23
Kep
126
25660.535
24
Pailin
449
24787.797
District/Khan
District/Khan
Write the name of the district/khan where the sample village is located and enter the 2-digit district/khan code in the corresponding code boxes.
27250
0
1
16
Commune/Sankat
Commune/Sangkat
Write the name of the commune/sankat where the sample village is located and enter the 2-digit commune/sankat code in the corresponding code boxes.
27250
0
1
25
Village/Mondol
Village/Mondol
Write the name of the sample village and enter the 2-digit village code in the corresponding code boxes.
27250
0
1
22
Sector (Urban/Rural)
Sector
Write the classification of the village (either urban or rural) provided to you and enter the 1-digit code in the corresponding code boxes.
27250
10799930.514
0
0
1
2
1
Urban
11044
1435879.947
2
Rural
16206
9364050.567
Household ID
Household ID
27250
0
1020304003
24020404028
Person ID
Person ID
27250
0
102030400301
2402040402803
Sample Reference Number
Sample Reference Number
This is to be filled up by supervisor after the listing operation in the village/segment. Instructions on how to assign sample reference numbers are contained in Chapter 4.
27250
0
1
5301
The Sample Reference Number (SRN) is a four-digit number which starts from "0001" for the first household in the list; "0002" for the next household; and so on until all households have been assigned a number.
Line Number of Member in Household
Line number of member in household
All persons
27250
0
1
15
Relationship to Head of Household
What is [name]'s relationship to the household head?
All persons
27250
10799930.514
0
0
1
16
4
Adopted Son/ Daughter
21
7402.697
14
Boarder
5
1112.042
10
Brother / Sister
335
102102.929
15
Domestic Helper
9
3030.753
9
Father / Mother
441
176434.391
5
Foster Son / Foster Daughter
12
4264.374
8
Grandson / Grand-daughter
1052
408419.28
1
Head
5000
1978666.207
12
Nephew / Niece
293
88905.796
16
Non-relative
10
3454.901
13
Other Relative
342
109784.668
7
Son / Daughter-in-law
434
157825.633
3
Son/ Daughter
15249
6157951.041
2
Spouse
4013
1590506.695
6
Stepson / Step-daughter
15
4784.224
11
Uncle / Aunt
19
5284.883
Age
What is [name]'s age as of his/her last birthday?
All persons
27250
10799930.514
0
0
0
98
24.581
24.359
18.169
18.232
98
98 or over
2
1067.869
Sex
Is [name] male or female?
Ask the question "Is _______ male or female?". Enter "1" for male and "2" for female.
All persons
27250
10799930.514
0
0
1
2
1
Male
13189
5222507.334
2
Female
14061
5577423.18
Current School Attendance
NIS , Mop
Is [name] currently attending school/university/training/vocational institution?
Ask the respondent: "Is ____ currently attending school/university/training/vocational institution?" If Yes enter code "1". Otherwise enter code "2".
persons 10 years old and over
21083
8294603.04
6167
2505327.474
1
2
1
Yes
5548
2091351.542
2
No
15535
6203251.498
Sysmiss
6167
2505327.474
NIS , Mop
Highest Educational Attainment
What is the highest grade/level completed by [name]?
persons 10 years old and over
20991
8263585.137
6259
2536345.377
0
88
0
Not Attended School
3237
1382067.358
1
Class 1
859
375731.441
2
Class 2
2089
905665.745
3
Class 3
2591
1098435.951
4
Class 4
2271
986229.082
5
Class 5
2010
815447.773
6
Class 6
1432
562647.425
7
Class 7
1521
574666.154
8
Class 8
1369
478103.353
9
Class 9
959
328397.951
10
Class 10
487
129928.03
11
Class 11
348
92420.791
12
Class 12
561
128380.988
13
Secondary School Certificate/Diploma
200
38676.581
14
Vocational/BST/OS Undergraduate
38
11577.192
15
Vocational/BST/OS Graduate
97
21879.764
16
Undergraduate
81
13883.315
17
Graduate/Degree Holder
100
18513.81
18
Post Graduate
0
0
88
No Class Completed
741
300932.433
99
92
31017.903
Sysmiss
6167
2505327.474
Worked at All Even for One Hour in the Past Week
Did [name] do any work at all even for only one hour during the past week for pay or family gain or helped on own farm & in family business with or without pay?
If 1 (Yes), go to Col.11
persons 10 years old and over
21083
8294603.04
6167
2505327.474
1
2
1
Yes
11407
4673623.548
2
No
9676
3620979.491
Sysmiss
6167
2505327.474
Other Economic Activity Last Week
During the past week, did [name] do any of the ff: Did any of the ff: grow crops/vegetables, raise livestock/chicken, clean/till land, gather firewood, hunt, catch fish, weave cloth/basket/mat?
If 1(Yes), go to Col. 11
persons 10 years old and over and c08=1
9675
3620331.906
17575
7179598.608
1
2
1
Yes
1375
590960.889
2
No
8300
3029371.017
Sysmiss
17575
7179598.608
Number of Hours Worked
How many hours did [name] work during the past week?
Ask the respondent: "How many hours did ___ work during the past week?". The entry in this column should be the actual number of hours worked by the person in all the economic activities that he held during the past week.
persons 10 years old and over, c08=1 and c09=1
12784
5265290.458
14466
5534640.057
1
84
48.471
48.349
13.018
12.735
This refers to the actual number of hours worked by the person in all the economic activities that the person held during the past week.
With a Job or Employment During the Past Week
Although [name] did not work, did he/she have a job or employment during the past week?
If 2(No), go to Col. 24
persons 10 years old and over, c08=2 or c09=2
8300
3029533.403
18950
7770397.111
1
2
1
Yes
19
10592.674
2
No
8281
3018940.729
Sysmiss
18950
7770397.111
Main Occupation during the Past Week
What was [name]'s main occupation during the past week?
persons 10 years old and over and c11=1
12801
5275177.112
14449
5524753.402
110
9330
110
199
56411.236
1120
2
362.316
1130
42
15087.505
1140
9
1610.57
1210
3
361.751
1220
9
3108.675
1230
7
1023.27
1310
12
1503.523
1320
4
1307.966
1330
3
2390.705
1340
2
393.576
2110
1
134.968
2120
4
462.978
2130
1
248.032
2140
6
864.918
2210
1
108.867
2220
52
14855.093
2230
9
1317.321
2310
1
750.486
2320
80
21596.847
2330
16
4509.031
2340
28
10582.767
2350
2
319.678
2390
3
432.843
2410
5
538.168
2420
14
2457.179
2430
1
135.231
2450
22
5255.64
2460
7
1765.259
3110
9
937.852
3130
4
465.224
3140
1
154.381
3150
1
137.723
3210
9
2914.78
3220
17
5077.54
3230
6
2493.156
3240
8
3015.4
3310
124
42402.659
3320
12
3726.472
3340
17
4424.093
3410
5
1670.213
3420
14
2910.667
3430
107
18910.955
3440
16
3400.011
3450
8
2687.063
3460
2
314.684
3470
25
7031.467
3480
1
579.529
4110
96
14676.827
4120
26
5281.071
4130
3
431.027
4140
2
270.462
4190
3
335.558
4210
31
5184.628
4220
8
2058.672
5110
3
558.534
5120
118
37010.169
5130
5
1713.909
5140
36
9228.714
5150
1
67.812
5160
183
42513.722
5210
9
2287.8
5220
185
63452.056
5230
1255
312221.534
6111
685
345190.71
6112
58
29120.037
6113
2
596.754
6114
12
2781.618
6121
181
71867.797
6122
25
8157.911
6129
4
1350.618
6130
6
7223.911
6140
27
10552.743
6150
263
111575.096
6210
6559
3231379.166
7110
22
1052.71
7121
35
12690.859
7122
5
667.331
7123
18
5543.789
7124
39
16215.059
7129
5
1210.429
7132
1
117.824
7136
2
318.495
7137
5
711.229
7141
5
774.396
7210
25
6720.108
7220
11
2504.533
7230
79
19561.899
7240
7
2280.713
7310
48
9440.973
7320
10
3648.12
7330
35
18365.678
7340
15
2018.267
7410
148
48276.362
7420
63
33869.566
7430
371
154824.376
7440
7
829.531
8140
1
850.265
8150
1
182.395
8220
4
1645.493
8230
2
753.778
8240
1
140.597
8250
2
1454.204
8260
75
35829.816
8270
36
8609.553
8280
1
850.265
8310
3
501
8320
306
80065.141
8330
5
3158.546
9110
74
28496.614
9120
7
3251.042
9130
72
17757.203
9140
5
1028.195
9150
7
998.875
9160
7
2097.43
9210
219
89162.786
9310
159
41402.241
9320
23
4767.042
9330
118
40293.261
Sysmiss
14449
5524753.402
Kind of Economic Activity or Industry During the Past Week
In what kinf od economic activity or industry did [name] during the past week?
persons 10 years old and over and c11=1
12801
5275177.112
14449
5524753.402
111
9900
Industry refers to the nature or kind of business or enterprise or the place where in the person works.
111
6730
3317473.823
112
405
214797.098
113
15
5348.781
121
171
66818.806
122
35
12949.27
140
210
79355.197
150
2
419.004
200
117
44606.734
500
337
147279.378
1410
6
1670.646
1422
2
404.716
1429
27
1252.747
1511
5
653.2
1512
24
12049.123
1513
1
671.993
1531
22
6012.946
1541
15
5736.143
1542
39
17117.358
1544
57
27126.487
1549
5
2586.824
1551
22
7539.041
1553
4
857.802
1554
2
571.142
1600
16
4738.91
1711
39
23349.843
1721
1
101.565
1722
5
2479.885
1723
33
16423.344
1729
1
651.125
1730
8
3580.612
1810
413
180028.429
1820
10
2171.61
1911
5
2621.562
1912
5
464.981
1920
2
526.66
2010
8
2583.23
2029
1
136.292
2211
1
162.513
2212
2
302.322
2219
13
1803.63
2222
1
1291.691
2230
5
692.413
2413
1
659.897
2423
2
880.88
2610
3
2588.953
2693
8
1714.135
2694
1
140.013
2695
2
421.22
2696
3
330.326
2710
2
1396.618
2720
11
1904.644
2731
1
340.593
2811
6
1980.125
2812
1
43.153
2891
5
3209.179
2893
9
2100.605
2899
14
2764.953
2926
4
1027.357
2930
3
236.428
3110
1
138.903
3140
8
3098.553
3230
1
1214.055
3330
9
2838.493
3591
1
850.714
3599
3
2397.675
3610
13
2748.687
3691
30
5499.39
3694
5
533.185
3699
5
1029.355
3720
1
164.893
4010
11
1663.104
4100
11
2136.282
4510
2
224.677
4520
155
45878.568
4530
71
19864.23
4540
12
3805.369
5010
2
121.852
5020
31
7165.973
5030
8
1473.781
5040
56
14794.398
5050
10
2227.919
5110
3
1440.343
5120
5
1015.078
5122
59
21688.146
5131
10
1392.381
5139
6
1822.977
5143
16
3795.095
5149
1
145.068
5190
4
1235.803
5211
1
340.593
5219
14
4902.433
5220
6
1502.319
5231
23
5152.131
5232
39
4782.547
5233
9
1568.148
5239
5
634.836
5240
5
580.039
5251
314
85182.921
5252
698
190622.753
5259
328
80902.521
5260
6
1817.591
5510
16
2581.858
5520
73
16211.743
6010
4
980.321
6021
10
5917.636
6022
333
86966.009
6023
14
3890.433
6110
3
435.529
6120
8
2852.53
6210
4
942.672
6301
28
11454.862
6302
6
1149.377
6303
11
2920.885
6309
2
940.807
6411
7
825.893
6420
3
319.432
6511
7
1518.652
6519
3
360.007
6591
3
1437.801
6592
2
801.012
6599
13
3265.322
6711
1
431.093
6712
1
162.513
6719
2
258.788
7010
35
7720.103
7020
1
119.097
7111
1
127.885
7129
1
433.773
7210
1
172.52
7290
1
123.557
7320
1
162.513
7411
1
116.474
7412
14
1534.516
7414
2
388.287
7422
5
2700.061
7492
4
1242.085
7493
2
290.136
7494
2
239.244
7499
2
252.754
7511
129
28354.01
7512
52
8063.185
7513
2
182.581
7514
65
11410.219
7521
1
248.032
7522
229
64305.248
7523
144
33594.775
7530
2
828.32
8010
176
61202.384
8021
60
20012.707
8022
27
3224.479
8030
1
750.486
8090
14
2195.292
8511
60
16540.746
8512
7
941.063
8519
33
11271.396
8520
5
1481.396
9000
2
899.659
9111
2
337.554
9112
1
116.474
9120
5
698.749
9191
10
2976.044
9192
4
763.078
9213
4
1470.597
9214
31
7216.327
9219
4
596.53
9220
6
592.55
9232
4
1334.276
9249
3
918.815
9301
6
1988.434
9302
30
8011.689
9303
1
579.529
9309
44
9267.144
9500
79
33745.951
9900
35
7267.479
Sysmiss
14449
5524753.402
The Nature of Employment
What was the nature of [name]'s employment?
persons 10 years old and over and c11=1
12801
5275177.112
14449
5524753.402
1
5
1
Permanent
5460
1635193.018
2
Short Term / Casual
762
301964.203
3
Seasonal / School Vacation
6513
3310157.649
4
61
22517.762
5
Others
5
5344.48
Sysmiss
14449
5524753.402
The Status of Employment
What was [name]'s status of employment?
persons 10 years old and over and c11=1
12801
5275177.112
14449
5524753.402
1
5
1
Employer
29
8713.305
2
Own Account Worker
5405
2168574.75
3
Employee
2535
803070.323
4
Unpaid Family Worker
4820
2288587.199
5
Others
12
6231.535
Sysmiss
14449
5524753.402
Average Monthly Wages
How much is [name]'s average monthly wages?
For daily average earner, compute daily wage x no. of days worked in a month.
persons 10 years old and over, c11=1 and status of employment code is 3 in Col. 17 (c17=3)
2535
803070.323
24715
9996860.191
0
10
0
7
3198.669
1
49,999R or Less
250
81979.188
2
50,000R - 99,999R
856
228133.546
3
100,000R - 149,999R
578
191329.496
4
150,000R - 199,999R
363
142338.428
5
200,000R - 299,999R
245
90864.02
6
300,000R - 499,999R
144
38265.242
7
500,000R - 749,999R
66
21931.645
8
750,000R - 999,999R
23
4797.968
9
1,000,000R - 1,999,999R
1
147.167
10
2,000,000R & over
2
84.954
Sysmiss
24715
9996860.191
Remuneration in Kind Received Last Month
How much remuneration in kind did [name] receive last month?
persons 10 years old and over, c11=1 and status of employment code is 3 in Col. 17 (c17=3)
2534
802392.954
24716
9997537.56
0
10
0
1891
632055.02
1
49,999R or Less
403
106526.892
2
50,000R - 99,999R
147
31969.951
3
100,000R - 149,999R
60
22262.324
4
150,000R - 199,999R
13
3703.823
5
200,000R - 299,999R
4
2395.75
6
300,000R - 499,999R
7
2172.718
7
500,000R - 749,999R
4
606.896
8
750,000R - 999,999R
1
173.924
9
1,000,000R - 1,999,999R
2
302.726
10
2,000,000R & over
2
222.93
Sysmiss
24716
9997537.56
Earnings Derived from Business or practice of Profession
How much is [name]'s monthly average earnings whether in cash or in kind from his/her business/profession?
persons 10 years old and over, c11=1 and status of employment code is 1 or 2 in Col. 17 (c17=1,2)
5436
2178801.488
21814
8621129.026
0
10
0
82
41926.301
1
49,999R or Less
1003
430658.071
2
50,000R - 99,999R
1708
734697.206
3
100,000R - 149,999R
1091
468768.24
4
150,000R - 199,999R
729
252008.994
5
200,000R - 299,999R
400
134097.836
6
300,000R - 499,999R
237
67845.35
7
500,000R - 749,999R
102
22671.126
8
750,000R - 999,999R
46
10761.115
9
1,000,000R - 1,999,999R
29
11844.565
10
2,000,000R & over
9
3522.684
Sysmiss
21814
8621129.026
Tips or Commissions Received Last Month
How tips/commissions did [name] receive last month?
persons 10 years old and over and c11=1
12801
5275570.008
14449
5524360.506
0
10
0
None
11502
4691257.6
1
49,999R or Less
790
353645.132
2
50,000R - 99,999R
282
136287.801
3
100,000R - 149,999R
115
55510.071
4
150,000R - 199,999R
50
21278.168
5
200,000R - 299,999R
22
8809.441
6
300,000R - 499,999R
22
3684.804
7
500,000R - 749,999R
11
3023.023
8
750,000R - 999,999R
1
179.169
9
1,000,000R - 1,999,999R
2
358.338
10
2,000,000R & over
4
1536.461
Sysmiss
14449
5524360.506
Availability for Additional Work During the Past Week
Was [name] available for additional work during the past week?
if 2(No), END INTERVIEW
Ask from the respondent the question "Was ___ available for additional or alternative work during the past week?". Enter code "1" if Yes. Enter code "2" for No and End Interview.
persons 10 years old and over and c11=1
12801
5275563.971
14449
5524366.543
0
2
0
3
860.395
1
Yes
3576
1661354.607
2
No
9222
3613348.969
Sysmiss
14449
5524366.543
Actively Seeking/Looking for Additional Work Last Week
Was [name] seeking additional work in the past week?
if 2(No), END INTERVIEW
If the person was available for additional or alternative work (Code 1 in col. 22), ask from the respondent the question "Was ___ actively seeking/looking for additional or alternative work during the past week?". Enter code "1" if Yes and code "2" if No. Then End Interview whether the code is 1 or 2.
persons 10 years old and over, c11=1 and c22=1
3592
1665973.382
23658
9133957.132
1
2
1
Yes
1525
703137.882
2
No
2067
962835.5
Sysmiss
23658
9133957.132
Availability and Seeking for Work
Was [name] available and actively seeking for work?
If 1(Yes), END INTERVIEW
persons 10 years old and over and c11=2
8281
3018738.407
18969
7781192.107
0
2
0
12
3098.508
1
Yes
361
134706.632
2
No
7908
2880933.266
Sysmiss
18969
7781192.107
Reason for Being Not Available and/or Did not Seek Work
Why was [name] not available and/or not seeking work?
persons 10 years old and over, c11=2 and c24=2
7921
2884672.6
19329
7915257.914
0
10
0
1
640.826
1
Believe no work is available
51
18131.261
2
Awaiting results of job application, rehire/ job recall
27
11466.674
3
Waiting to start a new job
40
12586.622
4
Infirmity / illness
138
51405.544
5
Disability
107
53974.463
6
Too old, retired
789
281194.11
7
Student (Attending educational institution)
5313
1985788.911
8
Caring of children, elderly and disabled
502
181338.285
9
Housekeeping
821
237111.532
10
Others, Specify
132
51034.372
Sysmiss
19329
7915257.914
Person Weight
27250
0
17.814
1410.959