Iraq Household Socio-Economic Survey 2012
DDI_IRQ_2012_IHSES_v01_M
Central Organization for Statistics and Information Technology (COSIT)
Kurdistan Regional Statistics Office (KRSO)
World Bank, Living Standard Measurement Study (LSMS)
Development Data Group
2015-08-27
Nesstar Publisher
Version 01 (August 2015)
Household Socio-Economic Survey 2012
Second Round
IHSES-II 2012
IRQ_2012_IHSES_v01_M
Organization for Statistics and Information Technology (COSIT)
Kurdistan Regional Statistics Office (KRSO)
The World Bank Group
Nesstar Publisher
Government of Iraq
Multi-country Trust Fund
The World Bank Group
LSMS Data Manager
Daine Steele
Socio-Economic/Monitoring Survey [hh/sems]
This is the second nationwide Iraq Household Socio-Economic Survey (IHSES-II) which was conducted in 2012. The first round Iraq Household Socio-Economic Survey (IHSES-I) was conducted in 2006-07.
Version 01
Iraq
Household and individuals
Sample survey data [ssd]
January 2012 to January 2013
The data were collected using paper questionnaires with concurrent data entry in the field using Computer Assisted Field Entry (CAFE)
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
This technical appendix describes the IHSES-II sampling strategy and the fieldwork procedures that could be put in place for survey data collection and quality assurance.
Sampling and Fieldwork
POVERTY ESTIMATES AND TRENDS IN IRAQ: 2007-2012
Questionnaire
IHSES II Report
Instructions on executing fieldwork and filling out Iraqi household socio-economic survey 2012 questionnaire
Interviewer Manual
Expenditures Questionnaire
Questionnaire on income and other data
Household Diary
2012ihses00_cover_page.NSDstat
Identification information from the cover of the questionnaire
25146
115
Nesstar 200801
2012ihses01_household_roster.NSDstat
Roster of household members and demographic information
176042
28
Nesstar 200801
2012ihses02_migration.NSDstat
Migration events and reasons for migration
176042
19
Nesstar 200801
2012ihses03_rations.NSDstat
Rations received
198404
32
Nesstar 200801
2012ihses04_housing.NSDstat
Characteristics of the dwelling, access to water, disposal of waste, access to electricity, ownership status and rent, access to facilities, housing expenses, perceptions of housing quality, basic needs income.
25146
159
Nesstar 200801
2012ihses05_education.NSDstat
Education information for members 6 years of age and older.
176042
40
Nesstar 200801
2012ihses06_p1_health_members.NSDstat
Health information on chronic illness and disabilities, acute disease, accidents and injuries, and fertility.
176042
41
Nesstar 200801
2012ihses06_p2_deceased.NSDstat
Mortality during the last 12 months
25176
17
Nesstar 200801
2012ihses07_anthropometrics.NSDstat
Anthropometric information for all members less than 60 months old and all members if the order of the household in the cluster is 1, 4, or 7.
176042
21
Nesstar 200801
2012ihses08_job_search.NSDstat
Information on methods used to search for work.
176042
28
Nesstar 200801
2012ihses09_non_food_30_day.NSDstat
Expenditures on non-food services and commodities during the past 30 days.
413921
17
Nesstar 200801
2012ihses10_non_food_90_day.NSDstat
Expenditures on non-food services and commodities during the past 90 days.
490428
17
Nesstar 200801
2012ihses11_non_food_12_month.NSDstat
Expenditures on non-food services and commodities during the past 12 months.
387362
17
Nesstar 200801
2012ihses12_p1_diary_expenditure.NSDstat
Diary of food and recurring non-food commodities
1092990
18
Nesstar 200801
2012ihses12_p2_meals.NSDstat
Meals taken within the dwelling
176042
33
Nesstar 200801
2012ihses12_p3_shared_meals.NSDstat
Number of participants other than the household members in meals within the household expenditure
25146
32
Nesstar 200801
2012ihses13_jobs.NSDstat
Information on all jobs held during the last 12 months for all members 6 years old and older.
45946
37
Nesstar 200801
2012ihses14_wage_jobs.NSDstat
Information on wage jobs held during the last 12 months
45946
39
Nesstar 200801
2012ihses15_agriculture.NSDstat
Agriculture, cattle breeding , fish farming and forest activities.
25146
168
Nesstar 200801
2012ihses16_enterprises.NSDstat
Non-agriculture household enterprises
25857
67
Nesstar 200801
2012ihses17_other_income.NSDstat
Income from property and transfers
980681
19
Nesstar 200801
2012ihses18_durables.NSDstat
Durable goods
601928
19
Nesstar 200801
2012ihses19_loans_credits.NSDstat
Household loans, credits and assistance
25146
25
Nesstar 200801
2012ihses20_shocks.NSDstat
Shocks and coping strategies
578330
24
Nesstar 200801
2012ihses21_time_use.NSDstat
Hours spent on various activities for all members 10 years old and older in households 2, 5, and 8 in the cluster
176042
37
Nesstar 200801
2012ihses22_justice.NSDstat
Access to justice
527587
17
Nesstar 200801
2012ihses23_life_satisfaction.NSDstat
Information on satisfaction with various life events for all members 15 years old and older
176042
25
Nesstar 200801
2012ihses_summary.NSDstat
24944
28
Nesstar 200801
Questionnaire Identifier
25146
0
110100011
350728329
Stratum
25146
0
1101
3507
1101
215
1102
216
1103
215
1104
216
1105
216
1106
216
1107
216
1201
216
1203
216
1204
216
1205
216
1206
216
1208
211
1209
216
1301
192
1302
205
1303
203
1304
209
1305
209
1306
204
1307
198
1308
200
1309
209
1310
206
1311
212
1312
209
1313
209
1314
205
1315
213
1316
209
1401
215
1402
207
1403
189
1404
216
1501
216
1502
215
1503
216
1504
212
1505
215
1506
216
1508
215
1509
216
1510
212
1511
216
2101
204
2102
213
2103
213
2104
216
2105
211
2106
215
2201
216
2202
216
2203
216
2204
215
2205
213
2206
216
2207
213
2208
213
2301
215
2302
216
2303
216
2304
216
2305
214
2306
215
2307
214
2308
215
2309
213
2310
216
2401
216
2402
215
2403
216
2405
216
2501
201
2502
206
2503
205
2601
215
2602
214
2603
215
2604
216
2605
215
2606
216
2701
214
2702
216
2703
216
2704
209
2705
216
2706
215
2707
216
2708
215
2801
214
2802
216
2803
216
3101
216
3102
216
3104
214
3105
212
3201
216
3202
216
3203
214
3204
216
3301
215
3302
215
3303
216
3304
216
3305
216
3401
215
3402
215
3403
214
3404
215
3405
214
3406
215
3501
214
3502
214
3503
216
3504
216
3505
216
3506
215
3507
215
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
25146
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
25146
0
0
5739.253
Weight for the analysis of time-use data
25146
0
0
7858.94
Weight for the analysis of food consumption by recall
25146
0
14.039
6903.901
q6: Governorate
25146
0
0
Test
0
11
DUHOK
1348
12
NAINAWA
1885
13
SULAIMANIYA
3292
14
KIRKUK
827
15
ERBIL
1933
21
DIYALA
1272
22
ANBAR
1718
23
BAGHDAD
2150
24
BABYLON
863
25
KERBELA
612
26
WASIT
1291
27
SALAH AL-DEEN
1717
28
NAJAF
646
31
QADISIYA
858
32
MUTHANNA
862
33
THI-QAR
1078
34
MAYSAN
1288
35
BASRAH
1506
q7: Qadha
25146
0
0
Test
0
1
01
3825
2
02
3541
3
03
3612
4
04
3218
5
05
2927
6
06
2359
7
07
1344
8
08
1269
9
09
854
10
10
634
11
11
428
12
12
299
13
13
209
14
14
205
15
15
213
16
16
209
cluster: Cluster serial
25146
0
1
2832
hh: Household Number
25146
0
1
2803
2
2798
3
2784
4
2801
5
2797
6
2781
7
2793
8
2796
9
2793
q27: Size of the Household
25146
0
1
42
q11: Block
25146
0
1
55
1
9142
2
4051
3
2454
4
1947
5
1419
6
1195
7
796
8
665
9
639
10
422
11
394
12
341
13
297
14
165
15
192
16
133
17
134
18
92
19
127
20
124
21
27
22
76
23
51
24
17
25
27
26
15
27
26
28
9
29
36
30
25
32
18
33
18
34
9
35
9
36
9
41
9
42
9
45
9
51
9
55
9
q14: District
10268
14878
1
405
1
89
2
63
3
104
4
71
5
105
6
131
7
74
8
71
9
89
10
68
11
71
12
55
13
39
14
43
15
106
16
34
17
47
18
61
19
99
20
61
21
44
22
18
23
24
24
45
25
23
26
80
28
44
29
44
30
39
31
12
32
41
33
27
34
18
35
9
36
48
37
34
38
27
39
18
40
32
41
27
43
9
44
71
45
35
46
18
47
9
48
35
49
27
50
16
51
28
52
29
53
14
54
9
55
36
56
26
57
26
58
27
59
42
60
27
62
10
63
43
64
18
65
18
69
18
70
9
73
27
74
9
77
9
80
9
84
4
85
14
88
9
89
9
94
11
95
3
96
13
97
9
101
9
102
10
103
15
104
18
107
3
111
9
113
9
119
18
122
9
123
9
146
9
202
18
211
9
257
9
301
836
302
648
303
450
304
546
305
501
306
382
307
329
308
269
309
279
310
207
311
233
312
196
313
189
314
153
315
168
316
99
317
125
318
133
319
80
320
153
321
81
322
117
323
72
324
90
325
108
326
36
327
65
328
27
329
107
330
27
331
18
332
36
333
9
334
45
335
18
336
36
337
27
338
36
339
18
340
36
341
18
342
27
343
9
344
9
345
36
346
9
347
9
348
9
349
27
350
9
351
27
358
18
363
18
366
9
368
8
370
8
375
9
405
9
Sysmiss
14878
q9: Hay
10782
14364
1
521
1
57
2
19
3
18
5
9
8
9
30
1
64
45
65
18
72
9
92
1
101
1265
102
789
103
1013
104
705
105
736
106
683
107
504
108
406
109
312
110
441
111
278
112
278
113
179
114
210
115
209
116
240
117
165
118
125
119
106
120
99
121
102
122
65
123
95
124
54
125
54
126
45
127
27
128
53
129
28
130
54
131
8
132
45
133
54
134
27
135
16
136
26
137
27
138
27
139
9
140
45
141
18
142
9
143
9
144
36
145
9
146
18
147
9
148
18
149
9
150
18
151
27
152
18
153
18
154
7
155
9
156
25
158
27
159
18
160
27
161
9
163
18
164
17
165
9
166
9
167
9
168
9
169
9
174
9
175
17
178
9
181
9
183
9
185
9
189
9
192
9
196
9
198
9
201
36
202
9
203
72
204
45
205
36
206
27
207
18
208
9
209
17
210
27
211
17
216
9
231
9
255
9
301
9
302
18
401
18
404
10
407
9
423
9
504
9
505
9
506
9
509
9
510
9
519
9
521
9
Sysmiss
14364
q3: Interviewer number
25146
0
0
11
1
8369
2
8381
3
8385
q10: Mahila
14884
10262
10002
83262
q8: Nahiya
25145
1
1
14464
2
4511
3
3650
4
1548
5
723
6
240
7
9
Sysmiss
1
q13: House number
16267
0
q13: House number
16012
0
q13: House number
15866
0
q15: Village
10262
14884
10376
83324
q15: Village
10222
14924
1
83324
q15: Village
10163
14983
1
83324
q16: Environment
25146
0
1
URBAN
14884
2
RURAL
10262
q16: Environment
25119
27
1
URBAN
14875
2
RURAL
10244
Sysmiss
27
q16: Environment
25017
129
1
URBAN
14828
2
RURAL
10189
Sysmiss
129
q17: Census building number
25123
0
01
35
02
33
03
39
04
36
05
37
06
35
07
43
08
38
09
39
1
360
1-10
1
1-17
1
1-22
1
1-26
1
1-6
1
1/11
1
1/17
1
1/19
1
1/57
1
10
357
10/1
1
10/2
2
100
69
101
51
102
52
103
56
103/2
1
104
48
105
50
106
55
107
34
108
49
108/13
1
108/18
1
108/5
1
109
48
10\1
1
10\7
1
11
352
11-2
1
11/2
1
11/3
1
11/5
1
11/8
1
110
40
111
33
112
35
113
50
114
33
114/36
1
114/42
1
114/57
1
115
25
116
28
117
26
118
34
119
19
12
364
120
21
121
23
122
12
123
22
124
24
124/3
1
125
17
126
24
127
16
128
20
129
15
12\1
1
13
356
130
15
131
8
132
16
133
11
134
11
135
15
136
13
137
8
138
8
139
8
14
356
14/1
1
140
12
141
11
142
8
142/13
1
143
5
144
13
145
7
146
6
147
6
148
5
149
5
15
364
150
9
151
7
152
6
153
6
154
4
155
5
156
6
157
3
158
3
159
2
16
361
16/12
1
16/3
1
16/4
1
160
2
161
3
162
3
163
6
164
4
165
6
166
2
167
2
168
2
169
6
17
338
17/1
1
17/15
1
170
6
171
2
172
2
173
6
174
1
175
4
176
5
177
2
178
5
179
1
17\10
1
18
338
180
4
181
2
182
3
185
3
186
3
187
2
188
2
189
2
18\10
1
18\13
1
19
341
190
4
191
2
192
2
194
2
195
3
196
1
198
3
199
2
2
344
2/10
1
2/122
1
2/22
1
2/5
1
20
358
200
1
201
1
202
2
203
2
204
1
205
1
206
1
207
3
209
4
21
326
21/1
1
210
1
211
1
213
1
215
2
217
2
22
299
220
1
221
2
222
1
223
1
226
3
229
1
22\3
1
23
338
230
1
232
1
233
1
235
1
237
2
23\5
1
24
301
240
2
242
1
243
1
248
1
25
295
250
1
258
1
26
318
260
1
265
1
27
306
272
1
273
1
277
2
28
299
284
1
287
1
29
324
294
1
3
367
3/12
1
3/3
1
3/4
1
30
314
301
1
303
1
31
258
31\1
1
31\2
1
32
340
32-1
1
32/1
1
33
296
330
1
34
282
347
1
35
276
36
302
36/2
1
36/6
1
36/9
1
37
318
38
266
39
281
39/1
1
39/2
1
4
326
40
260
40/10
1
40/19
1
402
1
41
272
41/2
1
42
266
43
272
44
278
45
273
46
259
46/6
1
47
260
48
254
49
268
5
296
5/1
2
5/3
1
5/6
1
50
253
51
251
51/1
1
52
241
53
244
53/1
1
53/2
1
54
263
55
239
56
206
57
231
58
262
58/10
1
59
202
6
309
6/3
3
60
225
61
205
62
196
63
222
64
208
64/1
1
64/2
1
65
204
66
220
66/1
2
66/5
1
67
197
68
183
69
189
6\2
1
7
317
7/17
1
7/2
1
7/3
1
7/4
1
70
190
70/14
1
71
189
72
192
72/13
1
72/4
1
72/9
1
73
156
74
166
74/2
1
75
154
76
156
76/4
1
77
143
78
142
79
138
8
318
8/20
1
8/8
1
80
126
81
145
82
116
83
129
84
125
85
115
86
113
87
102
88
102
89
103
8\10
1
9
306
9/1
1
9/4
1
90
79
91
98
92
100
93
83
94
81
95
92
96
80
97
55
98
55
99
60
q17: Census building number
25075
0
01
35
02
33
03
39
04
36
05
37
06
35
07
43
08
38
09
39
1
355
1-10
1
1-17
1
1-22
1
1-26
1
1-6
1
1/11
1
1/17
1
1/19
1
1/57
1
10
357
10/1
1
10/2
2
100
69
101
51
102
52
103
56
103/2
1
104
47
105
50
106
55
107
34
108
49
108/13
1
108/18
1
108/5
1
109
48
10\1
1
10\7
1
11
352
11-2
1
11/2
1
11/3
1
11/5
1
11/8
1
110
40
111
33
112
35
113
50
114
33
114/42
1
114/57
1
115
25
116
28
117
26
118
34
119
19
12
364
120
21
121
23
122
12
123
22
124
24
124/3
1
125
17
126
23
126/1
1
127
16
128
20
129
15
12\1
1
13
355
130
15
131
8
132
16
133
11
134
11
135
16
136
13
137
8
138
8
139
8
14
355
14/1
1
140
12
141
11
142
8
142/13
1
143
5
144
13
145
7
146
6
147
6
148
5
149
5
15
363
150
9
151
7
152
6
153
6
154
4
155
5
156
6
157
3
158
3
159
2
16
361
16/12
1
16/3
1
16/4
1
160
2
161
3
162
3
163
6
164
4
165
6
166
2
167
2
168
2
169
6
17
337
17/1
1
17/15
1
170
6
171
2
172
2
173
5
174
1
175
4
176
5
177
2
178
5
179
1
17\10
1
18
337
180
4
181
2
182
3
185
3
186
3
187
2
188
2
189
2
18\10
1
18\13
1
19
337
190
4
191
2
192
2
194
2
195
3
196
1
198
3
199
2
2
341
2/10
1
2/122
1
2/22
1
2/5
1
20
357
200
1
201
1
202
2
203
2
204
1
205
1
206
1
207
2
209
4
21
326
21/1
1
210
1
211
1
213
1
215
2
217
2
22
299
220
1
221
2
222
1
223
1
226
3
229
1
22\3
1
23
338
230
1
232
1
233
1
235
1
237
2
23\5
1
24
301
240
2
242
1
243
1
248
1
25
294
250
1
258
1
26
315
260
1
265
1
27
305
272
1
273
1
277
2
28
299
284
1
287
1
29
323
294
1
3
368
3/12
1
3/3
1
3/4
1
30
313
301
1
303
1
31
258
31\1
1
31\2
1
32
340
32-1
1
32/1
1
33
296
330
1
34
280
347
1
35
276
36
302
36/2
1
36/6
1
36/9
1
37
318
38
267
39
280
39/1
1
39/2
1
4
325
40
260
40/10
1
40/19
1
402
1
41
272
41/2
1
42
266
43
272
44
276
45
272
46
259
46/6
1
47
259
48
253
49
268
5
296
5/1
2
5/3
1
5/6
1
50
251
51
250
51/1
1
52
241
53
245
53/1
1
53/2
1
54
263
55
239
56
206
57
231
58
261
58/10
1
59
202
6
309
6/3
3
60
225
61
204
62
196
63
222
64
208
64/1
1
64/2
1
65
204
66
219
66/1
2
66/5
1
67
197
68
181
69
189
6\2
1
7
317
7/17
1
7/2
1
7/3
1
7/4
1
70
190
70/14
1
71
189
72
191
72/13
1
72/4
1
72/9
1
73
156
74
166
74/2
1
75
154
76
157
76/4
1
77
143
78
141
79
137
8
317
8/20
1
8/8
1
80
126
81
144
82
116
83
128
84
125
85
114
86
113
87
103
88
102
89
103
8\10
1
9
305
9/1
1
9/4
1
90
80
91
97
92
100
93
82
94
81
95
93
96
80
97
55
98
55
99
60
q17: Census building number
24977
0
01
35
02
33
03
39
04
36
05
37
06
35
07
42
08
38
09
39
1
354
1-10
1
1-17
1
1-22
1
1-26
1
1-6
1
1/11
1
1/17
1
1/19
1
1/57
1
10
356
10/1
1
10/2
2
100
69
101
51
102
51
103
55
103/2
1
104
48
105
50
106
54
107
34
108
49
108/13
1
108/18
1
108/5
1
109
47
10\1
1
10\7
1
11
351
11-2
1
11/2
1
11/3
1
11/5
1
11/8
1
110
40
111
33
112
35
113
50
114
33
114/42
1
114/57
1
115
25
116
28
117
26
118
34
119
19
12
363
120
21
121
23
122
12
123
22
124
24
124/3
1
125
17
126
23
126/1
1
127
16
128
20
129
15
12\1
1
13
354
130
15
131
8
132
16
133
11
134
11
135
16
136
13
137
8
138
8
139
8
14
352
14/1
1
140
12
141
11
142
8
142/13
1
143
5
144
13
145
7
146
6
147
6
148
5
149
5
15
359
150
7
151
7
152
6
153
6
154
4
155
5
156
6
157
3
158
3
159
2
16
359
16/12
1
16/3
1
16/4
1
160
2
161
3
162
3
163
6
164
4
165
6
166
2
167
2
168
2
169
6
17
335
17/1
1
170
6
171
2
172
2
173
5
174
1
175
4
176
5
177
2
178
5
179
1
17\10
1
17\15
1
18
337
180
4
181
2
182
3
185
3
186
3
187
2
188
2
189
2
18\10
1
18\13
1
19
336
190
4
191
2
192
2
194
2
195
3
196
1
198
3
199
2
2
340
2/10
1
2/122
1
2/22
1
2/5
1
20
355
200
1
201
1
202
2
203
2
204
1
205
1
206
1
207
2
209
4
21
325
21/1
1
210
1
211
1
213
1
215
2
217
2
22
299
220
1
221
2
222
1
223
1
226
3
229
1
22\3
1
23
336
230
1
232
1
233
1
235
1
237
2
23\5
1
24
301
240
2
242
1
243
1
248
1
25
292
250
1
258
1
26
315
260
1
265
1
27
303
272
1
273
1
277
2
28
296
284
1
287
1
29
321
294
1
3
365
3/12
1
3/3
1
3/4
1
30
311
301
1
303
1
31
258
31\1
1
31\2
1
32
339
32-1
1
32/1
1
33
293
330
1
34
280
347
1
35
275
36
301
36/2
1
36/6
1
36/9
1
37
317
38
262
39
280
39/1
1
39/2
1
4
324
40
260
40/10
1
40/19
1
402
1
41
271
41/2
1
42
265
43
271
44
275
45
271
46
257
46/6
1
47
258
48
252
49
268
5
293
5/1
2
5/3
1
5/6
1
50
251
51
249
51/1
1
52
239
53
244
53/1
1
53/2
1
54
263
55
238
56
206
57
230
58
260
58/10
1
59
201
6
309
6/3
3
60
225
61
203
62
196
63
221
64
208
64/1
1
64/2
1
65
204
66
219
66/1
2
66/5
1
67
196
68
181
69
188
6\2
1
7
317
7/17
1
7/2
1
7/3
1
7/4
1
70
190
70/14
1
71
188
72
190
72/13
1
72/4
1
72/9
1
73
156
74
166
74/2
1
75
153
76
157
76/4
1
77
143
78
141
79
137
8
315
8/20
1
8/8
1
80
124
81
143
82
116
83
129
84
125
85
114
86
113
87
103
88
102
89
102
8\10
1
9
302
9/1
1
9/4
1
90
78
91
97
92
97
93
82
94
81
95
93
96
79
97
54
98
55
99
60
q18: Latitude
25140
6
23
85
q19: Longitude
25139
7
4.613
97.515
q28: nb of households in dwelling
25146
0
Interviewer code
25143
3
1
8404
2
8372
3
8367
Sysmiss
3
Interviewer code
25041
105
1
8355
2
8340
3
8346
Sysmiss
105
Interviewer code
24990
156
0
1
1
8333
2
8340
3
8316
Sysmiss
156
Team leader code
25126
20
0
41
0
1
1
6633
2
6373
3
4908
4
2330
5
1717
6
423
7
828
8
417
9
1
10
431
13
5
20
213
30
425
35
3
40
417
41
1
Sysmiss
20
Team leader code
24952
194
0
52
0
3
1
6533
2
6362
3
4866
4
2310
5
1714
6
422
7
827
8
417
10
431
13
6
17
1
20
213
25
1
30
424
33
1
35
3
40
417
52
1
Sysmiss
194
Team leader code
24892
254
0
40
0
3
1
6487
2
6357
3
4870
4
2318
5
1707
6
419
7
826
8
416
10
431
13
6
17
1
20
212
21
1
26
1
30
425
35
2
40
410
Sysmiss
254
Central supervisor code
25033
113
1
34
1
16712
2
5022
3
4
4
7
8
1
11
2
12
2
13
3269
14
1
16
1
34
12
Sysmiss
113
Central supervisor code
24728
418
1
34
1
16533
2
4908
3
16
4
3
5
3
7
1
11
1
12
4
13
3252
14
1
34
6
Sysmiss
418
Central supervisor code
24671
475
1
34
1
16481
2
4909
3
10
4
7
5
3
6
1
9
1
11
3
12
1
13
3249
34
6
Sysmiss
475
Governorate coordinator code
25041
105
1
1
11
DUHOK
1462
12
NAINAWA
1513
13
SULAIMANIYA
3272
14
KIRKUK
825
15
ERBIL
2148
21
DIYALA
1273
22
ANBAR
1689
23
BAGHDAD
2150
24
BABYLON
860
25
KERBELA
612
26
WASIT
1290
27
SALAH AL-DEEN
1715
28
NAJAF
646
31
QADISIYA
855
32
MUTHANNA
862
33
THI-QAR
1077
34
MAYSAN
1284
35
BASRAH
1507
Sysmiss
105
Governorate coordinator code
24758
388
1
2
4
6
11
DUHOK
1464
12
NAINAWA
1482
13
SULAIMANIYA
3251
14
KIRKUK
821
15
ERBIL
2147
21
DIYALA
1259
22
ANBAR
1640
23
BAGHDAD
2093
24
BABYLON
859
25
KERBELA
613
26
WASIT
1243
27
SALAH AL-DEEN
1705
28
NAJAF
637
31
QADISIYA
856
32
MUTHANNA
862
33
THI-QAR
1044
34
MAYSAN
1275
35
BASRAH
1499
Sysmiss
388
Governorate coordinator code
24692
454
1
1
4
6
11
DUHOK
1463
12
NAINAWA
1468
13
SULAIMANIYA
3250
14
KIRKUK
820
15
ERBIL
2148
21
DIYALA
1252
22
ANBAR
1639
23
BAGHDAD
2093
24
BABYLON
855
25
KERBELA
611
26
WASIT
1225
27
SALAH AL-DEEN
1705
28
NAJAF
637
31
QADISIYA
852
32
MUTHANNA
858
33
THI-QAR
1044
34
MAYSAN
1274
35
BASRAH
1491
Sysmiss
454
Day interviewer date
24993
153
1
31
Day interviewer date
24745
401
1
31
Day interviewer date
24672
474
1
30
Day team leader date
24299
847
1
31
Day team leader date
23841
1305
1
31
Day team leader date
23609
1537
1
31
Day central supervisor date
22288
2858
1
31
Day central supervisor date
21578
3568
1
31
Day central supervisor date
21520
3626
1
31
Day governorate coordinator date
22142
3004
1
31
Day governorate coordinator date
21722
3424
1
31
Day governorate coordinator date
21462
3684
1
31
Month interviewer date
25019
127
1
2130
2
2048
3
2100
4
2086
5
2090
6
2098
7
2088
8
2083
9
2095
10
2080
11
2067
12
2054
Sysmiss
127
Month interviewer date
24830
316
1
2060
2
2050
3
2081
4
2061
5
2081
6
2091
7
2067
8
2067
9
2085
10
2071
11
2064
12
2052
Sysmiss
316
Month interviewer date
24763
383
1
2046
2
2038
3
2083
4
2062
5
2072
6
2072
7
2069
8
2067
9
2080
10
2069
11
2056
12
2049
Sysmiss
383
Month team leader date
24425
721
1
2070
2
2000
3
2052
4
2042
5
2032
6
2055
7
2040
8
2028
9
2046
10
2032
11
2020
12
2008
Sysmiss
721
Month team leader date
24057
1089
1
1970
2
1956
3
2025
4
1993
5
2024
6
2020
7
2012
8
2007
9
2026
10
2018
11
2009
12
1997
Sysmiss
1089
Month team leader date
23882
1264
1
1949
2
1925
3
2014
4
1982
5
2005
6
2010
7
2009
8
2002
9
2013
10
1999
11
1987
12
1987
Sysmiss
1264
Month central supervisor date
22880
2266
1
1891
2
1861
3
1904
4
1928
5
1944
6
1920
7
1905
8
1903
9
1898
10
1919
11
1899
12
1908
Sysmiss
2266
Month central supervisor date
22290
2856
1
1775
2
1736
3
1851
4
1870
5
1923
6
1906
7
1873
8
1860
9
1869
10
1885
11
1861
12
1881
Sysmiss
2856
Month central supervisor date
22277
2869
1
1771
2
1708
3
1844
4
1862
5
1923
6
1891
7
1874
8
1875
9
1874
10
1891
11
1873
12
1891
Sysmiss
2869
Month governorate coordinator date
22674
2472
1
1878
2
1884
3
1937
4
1921
5
1927
6
1876
7
1881
8
1845
9
1900
10
1904
11
1875
12
1846
Sysmiss
2472
Month governorate coordinator date
22353
2793
1
1810
2
1750
3
1893
4
1882
5
1910
6
1863
7
1858
8
1840
9
1892
10
1906
11
1893
12
1856
Sysmiss
2793
Month governorate coordinator date
22169
2977
1
1780
2
1711
3
1889
4
1885
5
1916
6
1856
7
1861
8
1827
9
1869
10
1882
11
1858
12
1835
Sysmiss
2977
Year interviewer date
25019
127
2011
3
2012
23976
2013
1040
Sysmiss
127
Year interviewer date
24829
317
2011
2
2012
23785
2013
1042
Sysmiss
317
Year interviewer date
24763
383
2011
3
2012
23726
2013
1034
Sysmiss
383
Year team leader date
24425
721
2011
3013
Year team leader date
24058
1088
2012
23046
2013
1012
Sysmiss
1088
Year team leader date
23884
1262
122
2013
Year central supervisor date
22927
2219
2011
1
2012
21976
2013
950
Sysmiss
2219
Year central supervisor date
22356
2790
2012
21419
2013
937
Sysmiss
2790
Year central supervisor date
22346
2800
2011
2
2012
21408
2013
936
Sysmiss
2800
Year governorate coordinator date
22739
2407
2011
2
2012
21796
2013
941
Sysmiss
2407
Year governorate coordinator date
22419
2727
2011
3
2012
21469
2013
947
Sysmiss
2727
Year governorate coordinator date
22240
2906
2011
3
2012
21304
2013
933
Sysmiss
2906
Day visit 1
25146
0
1
31
Month visit 1
25146
0
1
2142
2
2072
3
2108
4
2095
5
2099
6
2096
7
2098
8
2100
9
2097
10
2092
11
2078
12
2069
Year visit 1
25146
0
2012
24098
2013
1048
q35_2d: Day visit 2
25140
6
1
28
q35_2m: Month visit 2
25146
0
1
2109
2
2114
3
2100
4
2096
5
2100
6
2094
7
2099
8
2098
9
2097
10
2092
11
2078
12
2069
q35_2y: Year visit 2
25146
0
2012
24097
2013
1049
q35_3d: Day visit 3
25140
6
1
27
q35_3m: Month visit 3
25146
0
1
2110
2
2118
3
2102
4
2097
5
2095
6
2094
7
2097
8
2102
9
2096
10
2092
11
2076
12
2067
q35_3y: Year visit 3
25146
0
2012
24097
2013
1049
q35_4d: Day visit 4
25113
33
1
29
q35_4m: Month visit 4
25118
28
1
2081
2
2111
3
2105
4
2095
5
2099
6
2097
7
2095
8
2100
9
2097
10
2091
11
2078
12
2069
Sysmiss
28
q35_4y: Year visit 4
25119
27
2012
24097
2013
1022
Sysmiss
27
q35_5d: Day visit 5
25109
37
1
30
q35_5m: Month visit 5
25117
29
1
2085
2
2121
3
2100
4
2092
5
2097
6
2096
7
2097
8
2098
9
2096
10
2090
11
2076
12
2069
Sysmiss
29
q35_5y: Year visit 5
25119
27
2011
2
2012
24096
2013
1021
Sysmiss
27
q35_6d: Day visit 6
76
25070
8
30
q35_6m: Month visit 6
76
25070
1
14
2
19
3
19
4
9
5
2
6
4
9
2
10
3
11
2
12
2
Sysmiss
25070
q35_6y: Year visit 6
76
25070
2012
76
Sysmiss
25070
q35_7d: Day visit 7
6
25140
10
1
12
1
14
1
25
1
27
1
29
1
Sysmiss
25140
q35_7m: Month visit 7
6
25140
1
2
2
1
4
2
10
1
Sysmiss
25140
q35_7y: Year visit 7
6
25140
2012
6
Sysmiss
25140
q35_8d: Day visit 8
0
25146
Sysmiss
25146
q35_8m: Month visit 8
0
25146
Sysmiss
25146
q35_8y: Year visit 8
0
25146
Sysmiss
25146
Field Staff visit 2
25138
8
1
8391
2
8375
3
8372
Sysmiss
8
q36_2: Field Staff visit 2
25136
10
1
8391
2
8375
3
8370
Sysmiss
10
q36_3: Field Staff visit 3
25136
10
1
8391
2
8375
3
8370
Sysmiss
10
q36_4: Field Staff visit 4
25109
37
1
8379
2
8365
3
8365
Sysmiss
37
q36_5: Field Staff visit 5
25108
38
1
8383
2
8367
3
8358
Sysmiss
38
q36_6: Field Staff visit 6
76
25070
1
37
2
11
3
28
Sysmiss
25070
q36_7: Field Staff visit 7
6
25140
1
4
3
2
Sysmiss
25140
q36_8: Field Staff visit 8
0
25146
Sysmiss
25146
q12: Street/Zokak
14076
0
0
515
01
46
02
44
03
33
04
44
05
36
06
22
07
37
08
22
09
23
1
646
10
384
100
4
101
6
102
9
103
3
104
4
105
4
106
4
107
1
108
5
109
2
10\21
3
11
385
110
2
112
2
113
2
114
3
115
3
116
4
117
4
118
1
119
1
12
314
12/112
2
120
2
122
5
123
1
124
1
125
5
127
4
12\45
1
13
311
131
3
132
4
133
2
134
5
139
2
14
296
14/112
1
143
1
144
2
146
4
148
1
149
2
15
289
151
2
157
1
158
2
159
1
16
258
160
1
17
276
171
1
172
1
175
1
178
1
179
1
18
225
18\32
3
19
271
19\21
1
19\34
1
2
554
20
271
203
1
207
3
209
1
21
233
22
221
220
1
22\27
1
23
237
234
1
239
2
24
227
246
2
25
229
25/1
1
25/2
2
253
2
256
1
258
1
259
1
26
222
263
1
27
199
275
1
28
223
280
1
287
1
29
186
294
1
295
1
296
1
297
1
3
413
30
170
308
1
31
184
310
1
313
1
32
184
32/18
1
32/19
2
325
1
33
155
330
1
334
1
339
1
33\70
1
34
136
342
1
345
1
35
161
350
5
352
1
359
1
36
169
37
124
374
1
38
147
39
132
391
1
392
1
4
428
40
151
406
2
408
1
41
136
42
108
42\62
1
43
102
44
61
44/19
1
44/30
2
447
1
44\30
2
44\36
2
44\8
2
45
94
46
77
47
106
48
59
49
71
5
453
50
78
51
57
52
82
52\23
1
53
75
54
45
55
45
56
41
57
51
58
40
59
56
6
331
60
38
607
1
61
45
613
1
616
1
62
27
63
34
631
1
64
42
65
41
66
23
67
24
68
14
684
1
69
28
7
378
70
24
702
1
71
26
72
18
73
21
74
38
75
25
752
2
76
13
77
23
78
21
79
18
8
348
80
29
81
20
82
19
83
9
84
7
85
23
86
13
87
11
88
11
89
9
9
384
90
19
91
3
92
4
93
8
94
6
95
3
96
7
97
6
98
2
99
4
`
3
q2: Team number
25146
0
1
7032
2
6613
3
5339
4
2767
5
2138
6
425
7
414
8
418
q1: Wave Number
25146
0
1
24
Questionnaire Identifier
176042
0
110100011
350728329
Stratum
176042
0
1101
3507
1101
1500
1102
1785
1103
1603
1104
1397
1105
1824
1106
1735
1107
1767
1201
1516
1203
1620
1204
1719
1205
1492
1206
1945
1208
1691
1209
1819
1301
880
1302
1117
1303
1058
1304
1133
1305
978
1306
1062
1307
916
1308
842
1309
1127
1310
1111
1311
1132
1312
1052
1313
1096
1314
1091
1315
1151
1316
1095
1401
1310
1402
1992
1403
1269
1404
1430
1501
1170
1502
1207
1503
1251
1504
1103
1505
1193
1506
1085
1508
1244
1509
1454
1510
1057
1511
1301
2101
1300
2102
1372
2103
1258
2104
1130
2105
1263
2106
1332
2201
1819
2202
1773
2203
1909
2204
1673
2205
1877
2206
1628
2207
1706
2208
1536
2301
1228
2302
1381
2303
1421
2304
1350
2305
1203
2306
1325
2307
1409
2308
1734
2309
1493
2310
1393
2401
1436
2402
1850
2403
1682
2405
1574
2501
1273
2502
1277
2503
1424
2601
1503
2602
1653
2603
1843
2604
1477
2605
1685
2606
1737
2701
1501
2702
1460
2703
1596
2704
1641
2705
1658
2706
1591
2707
1599
2708
1829
2801
1510
2802
1689
2803
1704
3101
1549
3102
1665
3104
1552
3105
1744
3201
1628
3202
1915
3203
1994
3204
2024
3301
1501
3302
1624
3303
1516
3304
1659
3305
1490
3401
1716
3402
1751
3403
1864
3404
1889
3405
1793
3406
1859
3501
1506
3502
1579
3503
1686
3504
1836
3505
1442
3506
1538
3507
1697
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
176042
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
176042
0
0
5739.253
Weight for the analysis of time-use data
176042
0
0
7858.94
Weight for the analysis of food consumption by recall
176042
0
14.039
6903.901
q6: Governorate
176042
0
0
Test
0
11
DUHOK
10212
12
NAINAWA
14502
13
SULAIMANIYA
16841
14
KIRKUK
6001
15
ERBIL
10764
21
DIYALA
7655
22
ANBAR
13921
23
BAGHDAD
13937
24
BABYLON
6542
25
KERBELA
3974
26
WASIT
9898
27
SALAH AL-DEEN
12875
28
NAJAF
4903
31
QADISIYA
6510
32
MUTHANNA
7561
33
THI-QAR
7790
34
MAYSAN
10872
35
BASRAH
11284
q7: Qadha
176042
0
0
Test
0
1
01
25846
2
02
26314
3
03
26698
4
04
23013
5
05
20593
6
06
16837
7
07
9717
8
08
8876
9
09
5893
10
10
3561
11
11
2433
12
12
1828
13
13
1096
14
14
1091
15
15
1151
16
16
1095
cluster: Cluster serial
176042
0
1
2832
hh: Household Number
176042
0
1
19196
2
19614
3
19703
4
19630
5
19942
6
19466
7
19250
8
19670
9
19571
q27: Size of the Household
176042
0
1
42
ID CODE
176042
0
1
42
1
25146
2
24891
3
23689
4
22125
5
19343
6
15846
7
12050
8
8943
9
6507
10
4635
11
3294
12
2433
13
1796
14
1341
15
1019
16
754
17
562
18
410
19
267
20
214
21
167
22
128
23
94
24
78
25
68
26
52
27
40
28
33
29
28
30
23
31
17
32
13
33
9
34
6
35
6
36
3
37
3
38
3
39
3
40
1
41
1
42
1
q102: Gender
176042
0
1
MALE
87257
2
FEMALE
88785
q103d: Day of birth
176041
1
-2
Does not know
292
1
54452
2
6092
3
4998
4
4301
5
5702
6
3921
7
4237
8
4131
9
3482
10
6411
11
3754
12
4478
13
3688
14
3640
15
6583
16
3512
17
3798
18
3675
19
3152
20
6167
21
3427
22
3416
23
3350
24
3162
25
5223
26
3123
27
3195
28
4294
29
2603
30
2543
31
1239
Sysmiss
1
q103m: Month of birth
176041
1
-2
Does not know
235
1
25687
2
12321
3
12980
4
12156
5
11636
6
11189
7
38563
8
10965
9
10440
10
10575
11
10158
12
9136
Sysmiss
1
q103y: Year of birth
176041
1
1892
2013
q104: Age in years
176041
1
0
120
q105: Relationship to the head
176042
0
1
Head
25146
2
WIFE/HUSBAND
22627
3
DAUGHTER/SON
96611
4
SON/DAUGHTER-IN-LAW
6429
5
GRANDCHILD
12553
6
MOTHER OR FATHER
2966
7
SISTER OR BROTHER
4789
8
OTHER RELATIVES
4813
9
NOT RELATIVE
108
q106: Marital status
114336
61706
1
MARRIED
60833
2
NEVER MARRIED
47451
3
DIVORCED
767
4
SEPARATED
281
5
WIDOW
5004
Sysmiss
61706
q107: CODE OF SPOUSE
60811
115231
1
98
1
22583
2
22371
3
1082
4
1474
5
1409
6
1533
7
1605
8
1493
9
1386
10
1194
11
893
12
661
13
528
14
415
15
315
16
234
17
154
18
101
19
79
20
60
21
44
22
33
23
24
24
20
25
15
26
11
27
9
28
11
29
11
30
4
32
2
33
2
36
3
37
3
39
1
40
1
41
1
42
1
98
1045
Sysmiss
115231
q108: Born in this governorate
176040
2
1
YES
162912
2
NO
13128
Sysmiss
2
q109: Governorate of birthday
13128
162914
11
DUHOK
160
12
NAINAWA
1588
13
SULAIMANIYA
251
14
KIRKUK
562
15
ERBIL
673
21
DIYALA
1070
22
ANBAR
341
23
BAGHDAD
2976
24
BABYLON
453
25
KERBELA
271
26
WASIT
386
27
SALAH ALDEEN
281
28
NAJAF
446
31
QADISIYA
579
32
MUTHANNA
134
33
THI-QAR
723
34
MAYSAN
554
35
BASRAH
627
90
OTHER COUNTRY
1053
Sysmiss
162914
q110: Your father lives in this household
176042
0
1
YES
103274
2
NO
26875
3
DIED
45893
q111: Father ID code
103273
72769
1
36
1
89273
2
859
3
2052
4
1607
5
1338
6
1471
7
1193
8
1111
9
1053
10
771
11
622
12
451
13
404
14
273
15
216
16
121
17
79
18
75
19
65
20
61
21
53
22
17
23
30
24
17
25
8
26
4
27
7
28
21
29
12
32
4
36
5
Sysmiss
72769
q112: Highest degree of your father
72768
103274
1
NO CERTIFICATE, ILLITERATE
48377
2
NO CERTIFICATE, ONLY READ
1892
3
NO CERTIFICATE, READ AND WRITE
7700
4
ELEMENTARY
7342
5
INTERMEDIATE (MID SCHOOL)
2808
6
PREPARATORY
1538
7
VOCATIONAL
343
8
DIPLOMA FROM AN INSTITUTION
1411
9
BACHELOR DEGREE
1110
10
HIGHER DIPLOMA
29
11
MASTERS DEGREE
47
12
PHD. (DOCTORATE)
42
13
OTHER
129
Sysmiss
103274
q113: Your mother lives in the household
176042
0
1
YES
115742
2
NO
33588
3
DIED
26712
q114: Mother ID code
115736
60306
1
37
1
7313
2
87109
3
2485
4
2763
5
2533
6
2219
7
2141
8
1845
9
1622
10
1364
11
996
12
814
13
564
14
518
15
366
16
285
17
154
18
133
19
103
20
79
21
77
22
63
23
22
24
48
25
34
26
15
27
4
28
15
29
30
30
11
31
2
33
4
37
5
Sysmiss
60306
q115: Highest degree of your mother
60295
115747
1
NO CERTIFICATE, ILLITERATE
52464
2
NO CERTIFICATE, ONLY READ
904
3
NO CERTIFICATE, READ AND WRITE
3124
4
ELEMENTARY
2534
5
INTERMEDIATE (MID SCHOOL)
581
6
PREPARATORY
241
7
VOCATIONAL
50
8
DIPLOMA FROM AN INSTITUTION
269
9
BACHELOR DEGREE
100
10
HIGHER DIPLOMA
7
11
MASTERS DEGREE
6
12
PHD. (DOCTORATE)
1
13
OTHER
14
Sysmiss
115747
Questionnaire Identifier
176042
0
110100011
350728329
Stratum
176042
0
1101
3507
1101
1500
1102
1785
1103
1603
1104
1397
1105
1824
1106
1735
1107
1767
1201
1516
1203
1620
1204
1719
1205
1492
1206
1945
1208
1691
1209
1819
1301
880
1302
1117
1303
1058
1304
1133
1305
978
1306
1062
1307
916
1308
842
1309
1127
1310
1111
1311
1132
1312
1052
1313
1096
1314
1091
1315
1151
1316
1095
1401
1310
1402
1992
1403
1269
1404
1430
1501
1170
1502
1207
1503
1251
1504
1103
1505
1193
1506
1085
1508
1244
1509
1454
1510
1057
1511
1301
2101
1300
2102
1372
2103
1258
2104
1130
2105
1263
2106
1332
2201
1819
2202
1773
2203
1909
2204
1673
2205
1877
2206
1628
2207
1706
2208
1536
2301
1228
2302
1381
2303
1421
2304
1350
2305
1203
2306
1325
2307
1409
2308
1734
2309
1493
2310
1393
2401
1436
2402
1850
2403
1682
2405
1574
2501
1273
2502
1277
2503
1424
2601
1503
2602
1653
2603
1843
2604
1477
2605
1685
2606
1737
2701
1501
2702
1460
2703
1596
2704
1641
2705
1658
2706
1591
2707
1599
2708
1829
2801
1510
2802
1689
2803
1704
3101
1549
3102
1665
3104
1552
3105
1744
3201
1628
3202
1915
3203
1994
3204
2024
3301
1501
3302
1624
3303
1516
3304
1659
3305
1490
3401
1716
3402
1751
3403
1864
3404
1889
3405
1793
3406
1859
3501
1506
3502
1579
3503
1686
3504
1836
3505
1442
3506
1538
3507
1697
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
176042
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
176042
0
0
5739.253
Weight for the analysis of time-use data
176042
0
0
7858.94
Weight for the analysis of food consumption by recall
176042
0
14.039
6903.901
q6: Governorate
176042
0
0
Test
0
11
DUHOK
10212
12
NAINAWA
14502
13
SULAIMANIYA
16841
14
KIRKUK
6001
15
ERBIL
10764
21
DIYALA
7655
22
ANBAR
13921
23
BAGHDAD
13937
24
BABYLON
6542
25
KERBELA
3974
26
WASIT
9898
27
SALAH AL-DEEN
12875
28
NAJAF
4903
31
QADISIYA
6510
32
MUTHANNA
7561
33
THI-QAR
7790
34
MAYSAN
10872
35
BASRAH
11284
q7: Qadha
176042
0
0
Test
0
1
01
25846
2
02
26314
3
03
26698
4
04
23013
5
05
20593
6
06
16837
7
07
9717
8
08
8876
9
09
5893
10
10
3561
11
11
2433
12
12
1828
13
13
1096
14
14
1091
15
15
1151
16
16
1095
cluster: Cluster serial
176042
0
1
2832
hh: Household Number
176042
0
1
19196
2
19614
3
19703
4
19630
5
19942
6
19466
7
19250
8
19670
9
19571
q27: Size of the Household
176042
0
1
42
ID CODE
176042
0
1
42
1
25146
2
24891
3
23689
4
22125
5
19343
6
15846
7
12050
8
8943
9
6507
10
4635
11
3294
12
2433
13
1796
14
1341
15
1019
16
754
17
562
18
410
19
267
20
214
21
167
22
128
23
94
24
78
25
68
26
52
27
40
28
33
29
28
30
23
31
17
32
13
33
9
34
6
35
6
36
3
37
3
38
3
39
3
40
1
41
1
42
1
q201: ID code respondent
176040
2
1
30
1
87800
2
67949
3
6186
4
3462
5
2197
6
1904
7
1566
8
1399
9
1001
10
574
11
384
12
395
13
388
14
198
15
158
16
148
17
67
18
95
19
38
20
63
21
4
22
9
23
19
24
3
25
19
26
2
27
1
28
1
29
8
30
2
Sysmiss
2
q202: Did stay for 6 months continuously in another place?
176040
2
1
YES
32581
2
NO
143459
Sysmiss
2
q203: Previous place of residence
32581
143461
11
DHOUK
1635
12
NINWI
2142
13
AL-SALMANIYYAH
6140
14
KARKOUK
948
15
ARBEEL
3454
20
13
21
DIYALI
1351
22
AL-ANBAR
1478
23
BAGHDAD
3338
24
BABEL
896
25
KARBALA'
778
26
WASET
570
27
SALAH-EDDIN
744
28
AL-NAJAF
935
31
AL-QADISIYYAH
627
32
AL-MUTHANNAH
389
33
THI-QAR
901
34
MISAN
862
35
BASRA
1084
90
OTHER COUNTRY
4296
Sysmiss
143461
q204: Type of envirenment
28303
147739
1
CENTRAL URBAN
9726
2
OTHER URBAN
8311
3
RURAL
10266
Sysmiss
147739
32578
143464
-3
1
-2
2507
1
1516
2
1907
3
3489
4
3818
5
2997
6
3038
7
3704
8
2217
9
2574
10
2378
11
1424
12
1008
Sysmiss
143464
32580
143462
1930
2012
q206: The main reason to go to that place
32581
143461
1
WORK
3482
2
STUDY OR COMPLETE STUDY
307
3
MARRIAGE, DIVORCE OR BECOMING WIDOW
2991
4
ACCOMPANY HOUSEHOLD
11986
5
FORCED DISPLACEMENT OR MIGRATION
4678
6
BACK FROM FORCED DISPLACEMENT OR MIGRATION
5478
7
DISPLACEMENT FOR SECURITY REASON
159
8
CONVENTIONAL ARMED CONFLICT
1398
9
CIVIL CONFLICT
478
10
CRIMINAL AND RELATED
66
11
OTHER
1558
Sysmiss
143461
Questionnaire Identifier
198404
0
110100011
350728329
Stratum
198404
0
1101
3507
1101
1718
1102
1728
1103
1720
1104
1727
1105
1721
1106
1728
1107
1728
1201
1728
1203
1728
1204
1728
1205
1728
1206
1728
1208
1688
1209
1728
1301
1508
1302
1630
1303
1589
1304
1663
1305
1631
1306
1627
1307
1507
1308
1545
1309
1657
1310
1631
1311
1608
1312
1650
1313
1665
1314
1626
1315
1642
1316
1649
1401
1720
1402
1656
1403
1512
1404
1728
1501
1709
1502
1719
1503
1728
1504
1696
1505
1720
1506
1728
1508
1720
1509
1716
1510
1696
1511
1716
2101
1563
2102
1704
2103
1636
2104
1728
2105
1688
2106
1720
2201
1728
2202
1727
2203
1728
2204
1699
2205
1703
2206
1718
2207
1704
2208
1704
2301
1720
2302
1728
2303
1728
2304
1728
2305
1705
2306
1716
2307
1712
2308
1720
2309
1704
2310
1728
2401
1670
2402
1720
2403
1684
2405
1725
2501
1608
2502
1648
2503
1640
2601
1716
2602
1712
2603
1720
2604
1651
2605
1539
2606
1523
2701
1540
2702
1299
2703
1728
2704
1672
2705
1520
2706
1718
2707
1591
2708
1720
2801
1712
2802
1728
2803
1728
3101
1721
3102
1652
3104
1644
3105
1696
3201
1728
3202
1720
3203
1712
3204
1728
3301
1720
3302
1678
3303
1728
3304
1728
3305
1651
3401
1720
3402
1708
3403
1712
3404
1654
3405
1712
3406
1653
3501
1712
3502
1710
3503
1704
3504
1714
3505
1718
3506
1704
3507
1708
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
198404
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
198404
0
0
5739.253
Weight for the analysis of time-use data
198404
0
0
7858.94
Weight for the analysis of food consumption by recall
198404
0
14.039
6903.901
q6: Governorate
198404
0
0
Test
0
11
DUHOK
10774
12
NAINAWA
15068
13
SULAIMANIYA
25828
14
KIRKUK
6616
15
ERBIL
15432
21
DIYALA
10039
22
ANBAR
13711
23
BAGHDAD
17189
24
BABYLON
6799
25
KERBELA
4896
26
WASIT
9861
27
SALAH AL-DEEN
12788
28
NAJAF
5168
31
QADISIYA
6713
32
MUTHANNA
6888
33
THI-QAR
8505
34
MAYSAN
10159
35
BASRAH
11970
q7: Qadha
198404
0
0
Test
0
1
01
30241
2
02
27747
3
03
28725
4
04
25488
5
05
22881
6
06
18563
7
07
10526
8
08
10097
9
09
6805
10
10
5055
11
11
3324
12
12
2370
13
13
1665
14
14
1626
15
15
1642
16
16
1649
cluster: Cluster serial
198404
0
1
2832
hh: Household Number
198404
0
1
22062
2
22012
3
21913
4
22049
5
22047
6
21925
7
22115
8
22157
9
22124
q27: Size of the Household
198404
0
1
42
Ration Item
198402
2
1
Wheat flour
25143
2
Rice
25144
3
Sugar
25144
4
Vegetable oil
25144
5
Vegetable fat
25140
6
Infant formula
25140
7
Other 1 __________
23917
8
Other 2 __________
23630
Sysmiss
2
q301: Household receive rations
198404
0
1
YES
195652
2
NO
2752
q302: Why household does receive rations
2752
195652
1
HOUSEHOLD WAS REMOVED
1061
2
HOUSEHOLS NEVER HAS A CARD
962
3
OTHER
729
Sysmiss
195652
q0302A: Number of people in the ration card
195644
2760
1
42
q303: Amount paid to rations agent
195628
2776
0
100
q304: N. months has received [ITEM]
195165
3239
q305: The last time you received [ITEM]
192845
5559
1
WITHIN THE PAST MONTH
87950
2
WITHIN THE PAST 3 MONTHS
20592
3
WITHIN THE PAST 12 MONTHS
26153
4
MORE THAN 12 MONTHS AGO
19834
5
NEVER
38316
Sysmiss
5559
q306: Quantity of [ITEM] you received that time
134599
63805
0.25
378
134593
63811
q308: Price of this rations of [ITEM] in the market
134646
63758
0.1
18.75
q309: Quantity of [ITEM] you give away (kg)
134640
63764
0
180
q310: How much of [ITEM] did you sell (kg)
134478
63926
0
270
q311: Amount received from the [ITEM] sold
1980
196424
0
112.5
q312: Why did you sell [ITEM]
1989
196415
1
QUALITY IS TOO LOW
858
2
WE DON'T NEED IT
580
3
NEED FOR MONEY
180
4
OTHER
371
Sysmiss
196415
q313: Quantity of [ITEM] you consumed during the past 30 days
198349
55
0
878
q314: Quantity part of [ITEM] ration
120689
77715
0
378
q315: Quantity of [ITEM] consumed was purchased
120688
77716
0
500
q316: Total value of [ITEM] purchased
73932
124472
0.25
285
q317: Why was the purchased of [ITEM]
73929
124475
1
RATION WAS NOT ENOUGH
54486
2
RATION AND OTHER SOURCES NOT ENOUGH
3688
3
WE WANTED BETTER QUALITY THAN THE RATION
5811
4
OTHER
9944
Sysmiss
124475
q318: Quantity of [ITEM] consumed was received as a gift
120689
77715
0
100
q319: Quantity of [ITEM] consumed was produced by the household
60583
137821
0
100
Questionnaire Identifier
25146
0
110100011
350728329
Stratum
25146
0
1101
3507
1101
215
1102
216
1103
215
1104
216
1105
216
1106
216
1107
216
1201
216
1203
216
1204
216
1205
216
1206
216
1208
211
1209
216
1301
192
1302
205
1303
203
1304
209
1305
209
1306
204
1307
198
1308
200
1309
209
1310
206
1311
212
1312
209
1313
209
1314
205
1315
213
1316
209
1401
215
1402
207
1403
189
1404
216
1501
216
1502
215
1503
216
1504
212
1505
215
1506
216
1508
215
1509
216
1510
212
1511
216
2101
204
2102
213
2103
213
2104
216
2105
211
2106
215
2201
216
2202
216
2203
216
2204
215
2205
213
2206
216
2207
213
2208
213
2301
215
2302
216
2303
216
2304
216
2305
214
2306
215
2307
214
2308
215
2309
213
2310
216
2401
216
2402
215
2403
216
2405
216
2501
201
2502
206
2503
205
2601
215
2602
214
2603
215
2604
216
2605
215
2606
216
2701
214
2702
216
2703
216
2704
209
2705
216
2706
215
2707
216
2708
215
2801
214
2802
216
2803
216
3101
216
3102
216
3104
214
3105
212
3201
216
3202
216
3203
214
3204
216
3301
215
3302
215
3303
216
3304
216
3305
216
3401
215
3402
215
3403
214
3404
215
3405
214
3406
215
3501
214
3502
214
3503
216
3504
216
3505
216
3506
215
3507
215
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
25146
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
25146
0
0
5739.253
Weight for the analysis of time-use data
25146
0
0
7858.94
Weight for the analysis of food consumption by recall
25146
0
14.039
6903.901
q6: Governorate
25146
0
0
Test
0
11
Duhok
1348
12
Nainawa
1885
13
Sulaimaniya
3292
14
Kirkuk
827
15
Erbil
1933
21
Diyala
1272
22
Anbar
1718
23
Baghdad
2150
24
Babylon
863
25
Kerbela
612
26
Wasit
1291
27
Salah al-deen
1717
28
Najaf
646
31
Qadisiya
858
32
Muthanna
862
33
Thi-qar
1078
34
Maysan
1288
35
Basrah
1506
q7: Qadha
25146
0
0
Test
0
1
01
3825
2
02
3541
3
03
3612
4
04
3218
5
05
2927
6
06
2359
7
07
1344
8
08
1269
9
09
854
10
10
634
11
11
428
12
12
299
13
13
209
14
14
205
15
15
213
16
16
209
cluster: Cluster serial
25146
0
1
2832
hh: Household Number
25146
0
1
2803
2
2798
3
2784
4
2801
5
2797
6
2781
7
2793
8
2796
9
2793
q27: Size of the Household
25146
0
1
42
q0401: Number of hh in dwelling
25146
0
1
22787
2
1627
3
487
4
181
5
47
6
11
8
5
9
1
Number of other members living in this dwelling
25132
14
0
52
Years staying in this house
25141
5
0
80
Type of household unit
25141
5
1
House
21905
2
Flat
354
3
Clay house
2711
4
Bamboo house
36
5
Other
135
Sysmiss
5
Principalmaterial of the walls
25143
3
1
Brick
7449
2
Stone
2716
3
Cement blocks
11941
4
Thermo stone
170
5
Concrete ready made / pre-cast
401
6
Clay
2348
7
Bamboo
6
8
Other
112
Sysmiss
3
Principal material of ceiling
25140
6
1
Reinforced concrete casting
12757
2
Iron bars
6908
3
Wood
4629
4
Others
846
Sysmiss
6
Principal material of the floor
25129
17
1
Tiles
8963
2
Brick
117
3
Cement casting
14170
4
Earth
1640
5
Other
239
Sysmiss
17
Total area of th dwelling
25145
1
10
1200
Built area occupied by the household
25145
1
10
908
Total area of land
25146
0
-3
5000
Bedrooms exclusively use by this houshold
25139
7
0
9
Hall exclusively use by this houshold
25119
27
0
3
Guest's room exclusively use by this houshold
25114
32
0
2
Dining room exclusively use by this houshold
25070
76
0
2
Other rooms exclusively use by this houshold
25074
72
0
3
Kitchen exclusively use by this houshold
25137
9
0
3
Bathroom exclusively use by this houshold
25129
17
0
5
Bathroom with utilities exclusively use by this houshold
25078
68
0
5
Separate utilities exclusively use by this houshold
25131
15
0
5
Storage exclusively use by this houshold
25075
71
0
3
Garage with ceiling exclusively use by this houshold
25074
72
0
2
Garden exclusively use by this houshold
25093
53
0
2
Bedrooms joinly use whis other household
25047
99
Hall joinly use whis other household
25050
96
0
5
Guest's room joinly use whis other household
25051
95
0
5
Dining room joinly use whis other household
25045
101
0
2
Other rooms joinly use whis other household
25045
101
0
1
Kitchen joinly use whis other household
25049
97
0
5
Bathroom joinly use whis other household
25050
96
0
5
Bathroom with utilities joinly use whis other household
25047
99
0
9
Separate utilities joinly use whis other household
25051
95
0
9
Stotage joinly use whis other household
25050
96
0
3
Garage with ceiling joinly use whis other household
25047
99
0
2
Garden joinly use whis other household
25046
100
0
4
Garbage disposal
25141
5
1
Collected by the municipality or contractor for the municipality
10386
2
Put in designated container
2579
3
Thrown outside housing unit
7933
4
Burnt
4109
5
Buried
114
6
Other
20
Sysmiss
5
Frequency of the garbage collection
10380
14766
1
Daily
4008
2
Two or more times a week
5251
3
Once a week
923
4
More than weekly
198
Sysmiss
14766
Sewage disposal system
25136
10
1
Public network
5568
2
Septic tank
13415
3
Covered drain
3233
4
Open drain
2763
5
Other
157
Sysmiss
10
Main source of water
25137
9
1
Public network: housing unit connected
19532
2
Pubic network tap
919
3
Tanker
1170
4
River/canal/creek/ wheel
1475
5
Open well / covered well
1760
6
Pond lake
16
7
Spring
155
8
Kehriz (man-built spring)
6
9
Other
104
Sysmiss
9
Interruptions in the availbi;ity of water
25143
3
1
No interruptions
2366
2
Interruption once or less monthly
2050
3
Interruption once or less weekly
2244
4
Interruption more than once a week
3400
5
Interruption daily
10637
6
No public network
4446
Sysmiss
3
The water is sufficient
20656
4490
1
Yes
14813
2
No
5843
Sysmiss
4490
How do you adress shortage in water supply
5829
19317
1
Purchase
1136
2
River or creek
241
3
Well
684
4
Bringing water from public tap in the area
54
5
Bring water from another area
410
6
Using water pump
2808
7
Other (specify)
496
Sysmiss
19317
Water treated befor drinking
25145
1
1
Yes, by boiling
293
2
Yes, by filtering
1981
3
Yes, by chemical treatment
1877
4
Yes, using bottled water
6788
5
No
14206
Sysmiss
1
Water treated beforcooking
25144
2
1
Yes, by boiling
3341
2
Yes, by filtering
773
3
Yes, by chemical treatment
864
4
Yes, using bottled water
3051
5
No
17115
Sysmiss
2
Type of toilet
25142
4
1
Flushed toilet
4377
2
Non-flushed toilet
20289
3
Use of other facility
163
4
No toilet
313
Sysmiss
4
Status of the toilet
24660
486
1
Inside dwelling exclusive for household
21192
2
Inside dwelling and shared
975
3
Outside dwelling exclusive for household
2362
4
Outside dwelling and shared
131
Sysmiss
486
q0421_1: Use electricity from Public Network?
25146
0
1
Yes
24719
2
No
427
q0421_2: Use electricity from Community Generator?
25141
5
1
Yes
18236
2
No
6905
Sysmiss
5
q0421_3: Use electricity from Private Generator?
25130
16
1
Yes
7330
2
No
17800
Sysmiss
16
24717
429
0
7
18235
6911
0
7
7418
17728
0
7
q0423_1: Hours/Day from Public Network?
24693
453
1
24
q0423_2: Hours/Day from Community Generator?
17385
7761
1
24
q0423_3: Hours/Day from Private Generator?
4878
20268
1
24
q0424_2: Hours/day suscription from Community Generator?
17391
7755
1
24
q0425_2: Amperes in the suscription from Community Generator?
17404
7742
1
96
First source of energy use for cooking
25142
4
1
Electricity form public network
128
2
Electricity from shared generator
5
3
Electricity from private generator
13
4
Liquid gas cylinders
24446
5
Kerosene
372
6
Wood, coal, plant-sources
167
7
Dung of animals
11
8
Other
0
Sysmiss
4
Second source of energy use for cooking
17953
7193
1
Electricity form public network
946
2
Electricity from shared generator
29
3
Electricity from private generator
18
4
Liquid gas cylinders
444
5
Kerosene
13885
6
Wood, coal, plant-sources
2555
7
Dung of animals
36
8
Other
40
Sysmiss
7193
First source of energy use for lighting
25141
5
1
Electricity form public network
20745
2
Electricity from shared generator
3965
3
Electricity from private generator
303
4
Liquid gas cylinders
0
5
Kerosene
114
6
Wood, coal, plant-sources
2
7
Dung of animals
0
8
Other
12
Sysmiss
5
Second source of energy use for lighting
22395
2751
1
Electricity form public network
4139
2
Electricity from shared generator
13790
3
Electricity from private generator
2465
4
Liquid gas cylinders
2
5
Kerosene
1655
6
Wood, coal, plant-sources
3
7
Dung of animals
0
8
Other
341
Sysmiss
2751
First source of energy use for heating
25138
8
1
Electricity form public network
3630
2
Electricity from shared generator
56
3
Electricity from private generator
15
4
Liquid gas cylinders
593
5
Kerosene
20330
6
Wood, coal, plant-sources
493
7
Dung of animals
8
8
Other
13
Sysmiss
8
Second source of energy use for heating
18463
6683
1
Electricity form public network
11275
2
Electricity from shared generator
432
3
Electricity from private generator
61
4
Liquid gas cylinders
322
5
Kerosene
3619
6
Wood, coal, plant-sources
2513
7
Dung of animals
42
8
Other
199
Sysmiss
6683
First source of energy use for cooling
25120
26
1
Electricity form public network
20634
2
Electricity from shared generator
4022
3
Electricity from private generator
326
4
Liquid gas cylinders
17
5
Kerosene
10
6
Wood, coal, plant-sources
3
7
Dung of animals
1
8
Other
107
Sysmiss
26
Second source of energy use for cooling
20353
4793
1
Electricity form public network
4365
2
Electricity from shared generator
13068
3
Electricity from private generator
2374
4
Liquid gas cylinders
12
5
Kerosene
37
6
Wood, coal, plant-sources
6
7
Dung of animals
0
8
Other
491
Sysmiss
4793
First source of energy use for warming water
25141
5
1
Electricity form public network
20307
2
Electricity from shared generator
62
3
Electricity from private generator
13
4
Liquid gas cylinders
2358
5
Kerosene
1936
6
Wood, coal, plant-sources
446
7
Dung of animals
16
8
Other
3
Sysmiss
5
Second source of energy use for warming water
18315
6831
1
Electricity form public network
919
2
Electricity from shared generator
312
3
Electricity from private generator
53
4
Liquid gas cylinders
7434
5
Kerosene
8233
6
Wood, coal, plant-sources
1306
7
Dung of animals
37
8
Other
21
Sysmiss
6831
Ownership status of the dwelling
25141
5
1
Owned by the household
19261
2
Private sector
4127
3
Public sector
143
4
Governmental sector
932
5
Other
678
Sysmiss
5
Type of occupancy of the dwelling
5860
19286
1
Rented
2331
2
Provided by employer
195
3
Free with arrangement with owner
1836
4
Free without arrangement with owner
483
5
Random housing
963
6
Other
52
Sysmiss
19286
Estimated rental monthly value
25146
0
5
6150
25146
0
0
127
25146
0
0
128
25146
0
0
300
25146
0
0
300
25146
0
0
122
25146
0
0
300
25146
0
0.01
150
25146
0
0
300
25146
0
0
115
25146
0
0
300
25146
0
0
300
25146
0
0
150
25146
0
0
140
25146
0
0
300
25146
0
0
126
25146
0
0
150
25144
2
-3
370
25146
0
0
156
25146
0
0
156
25146
0
0
180
25146
0
0
180
25146
0
0
160
25146
0
0
180
25146
0
0
160
25146
0
0
180
25146
0
0
160
25146
0
0
180
25146
0
0
180
25146
0
0
160
25146
0
0
153
25146
0
0
180
25146
0
0
156
25146
0
0
150
25144
2
-3
240
Problems of transportation
25145
1
1
Yes
11986
2
No
13159
Sysmiss
1
1st problem
11984
13162
1
Bad conditions of the road
9334
2
Traffic jams and condensations
735
3
Scarcity or distant transport means
1538
4
Hard to reach the transport means
310
5
Personal security
36
6
Other
31
Sysmiss
13162
2nd problem
10101
15045
0
2
1
Bad conditions of the road
346
2
Traffic jams and condensations
1051
3
Scarcity or distant transport means
6831
4
Hard to reach the transport means
1687
5
Personal security
134
6
Other
50
Sysmiss
15045
3rd problem
8302
16844
0
2
1
Bad conditions of the road
421
2
Traffic jams and condensations
129
3
Scarcity or distant transport means
859
4
Hard to reach the transport means
6090
5
Personal security
195
6
Other
606
Sysmiss
16844
Type of main road leads to the dwelling
25139
7
1
Paved road, no pavement
4441
2
Paved road, non-paved pavement
1842
3
Paved road, paved pavement
4751
4
Soil road
13843
5
Other
206
6
There is no land road
56
Sysmiss
7
q0435_1: Has paid past 12m for … water and sewer bill
25146
0
1
Yes
11731
2
No
13415
q0435_2: Has paid past 12m for … Electricity from the public network bill
25139
7
1
Yes
16474
2
No
8665
Sysmiss
7
q0435_3: Has paid past 12m for … Bill for electricity generated from a common ge
25138
8
1
Yes
17746
2
No
7392
Sysmiss
8
q0435_4: Has paid past 12m for … Land / Phone Line bill
25093
53
1
Yes
660
2
No
24433
Sysmiss
53
q0435_5: Has paid past 12m for … Rental of housing unit
25063
83
1
Yes
2082
2
No
22981
Sysmiss
83
q0436_1: amount of last payment for … water and sewer bill
11731
13415
0
450
q0436_2: amount of last payment for … Electricity from the public network bill
16481
8665
0
1200
q0436_3: amount of last payment for … Bill for electricity generated from a comm
17759
7387
0
7500
q0436_4: amount of last payment for … Land / Phone Line bill
667
24479
0
700
q0436_5: amount of last payment for … Rental of housing unit
2094
23052
0
6000
q0436_6: amount of last payment for … TOTAL
24316
830
0
575500
q0437_1: days covered by last payment for … water and sewer bill
11730
13416
29
800
q0437_2: days covered by last payment for … Electricity from the public network
16479
8667
3
920
q0437_3: days covered by last payment for … Bill for electricity generated from
17759
7387
1
360
q0437_4: days covered by last payment for … Land / Phone Line bill
663
24483
6
750
q0437_5: days covered by last payment for … Rental of housing unit
2085
23061
3
400
11724
13422
0
70.3
16524
8622
0
90
17759
7387
0
95
743
24403
0
50
2142
23004
0
50
Affected by smoke and gases
25145
1
1
Largely affected
1791
2
Little effect
6768
3
Very little effect
4525
4
No affect at all
12061
Sysmiss
1
Affected by dust
25145
1
1
Largely affected
6083
2
Little effect
9705
3
Very little effect
5638
4
No affect at all
3719
Sysmiss
1
Affected by bad odor
25145
1
1
Largely affected
4253
2
Little effect
8238
3
Very little effect
5301
4
No affect at all
7353
Sysmiss
1
Affected by noise
25145
1
1
Largely affected
2264
2
Little effect
7315
3
Very little effect
5203
4
No affect at all
10363
Sysmiss
1
Affected by insects, rodents, dogs or other animals
25145
1
1
Largely affected
8394
2
Little effect
8784
3
Very little effect
4472
4
No affect at all
3495
Sysmiss
1
Affected by garbage near residential unit
25145
1
1
Largely affected
4516
2
Little effect
7601
3
Very little effect
4660
4
No affect at all
8368
Sysmiss
1
Affected by rain and stagnant water
25145
1
1
Largely affected
6050
2
Little effect
7132
3
Very little effect
4208
4
No affect at all
7755
Sysmiss
1
Affected by outlets of sanitary systems
25145
1
1
Largely affected
3467
2
Little effect
6127
3
Very little effect
4076
4
No affect at all
11475
Sysmiss
1
Affected by humidity
25145
1
1
Largely affected
3664
2
Little effect
7942
3
Very little effect
5072
4
No affect at all
8467
Sysmiss
1
Affected by insufficient ventilation
25145
1
1
Largely affected
1064
2
Little effect
5702
3
Very little effect
4176
4
No affect at all
14203
Sysmiss
1
Affected by security risks
25145
1
1
Largely affected
1006
2
Little effect
5028
3
Very little effect
3260
4
No affect at all
15851
Sysmiss
1
Affected by insufficient lighting
25145
1
1
Largely affected
1681
2
Little effect
5721
3
Very little effect
3469
4
No affect at all
14274
Sysmiss
1
Number of rooms are sufficient
25144
2
1
Extremely inadequate
3615
2
Inadequate
9141
3
Adequate
11295
4
Excellent
1093
Sysmiss
2
Areas of rooms are sufficient
25145
1
1
Extremely inadequate
2996
2
Inadequate
8456
3
Adequate
12545
4
Excellent
1148
Sysmiss
1
Bathroom(s) are sufficient
25145
1
1
Extremely inadequate
2663
2
Inadequate
7151
3
Adequate
14111
4
Excellent
1220
Sysmiss
1
Other utilities inside are sufficient
25145
1
1
Extremely inadequate
3736
2
Inadequate
8465
3
Adequate
11798
4
Excellent
1146
Sysmiss
1
Utilities outside are sufficient
25145
1
1
Extremely inadequate
4427
2
Inadequate
8000
3
Adequate
11450
4
Excellent
1268
Sysmiss
1
Cooling the house method
25143
3
1
Air-conditioner
2937
2
Cooler
18508
3
Fan
3488
4
Other
4
5
None
206
Sysmiss
3
Minimum monthly income
25145
1
30
7250
Questionnaire Identifier
176042
0
110100011
350728329
Stratum
176042
0
1101
3507
1101
1500
1102
1785
1103
1603
1104
1397
1105
1824
1106
1735
1107
1767
1201
1516
1203
1620
1204
1719
1205
1492
1206
1945
1208
1691
1209
1819
1301
880
1302
1117
1303
1058
1304
1133
1305
978
1306
1062
1307
916
1308
842
1309
1127
1310
1111
1311
1132
1312
1052
1313
1096
1314
1091
1315
1151
1316
1095
1401
1310
1402
1992
1403
1269
1404
1430
1501
1170
1502
1207
1503
1251
1504
1103
1505
1193
1506
1085
1508
1244
1509
1454
1510
1057
1511
1301
2101
1300
2102
1372
2103
1258
2104
1130
2105
1263
2106
1332
2201
1819
2202
1773
2203
1909
2204
1673
2205
1877
2206
1628
2207
1706
2208
1536
2301
1228
2302
1381
2303
1421
2304
1350
2305
1203
2306
1325
2307
1409
2308
1734
2309
1493
2310
1393
2401
1436
2402
1850
2403
1682
2405
1574
2501
1273
2502
1277
2503
1424
2601
1503
2602
1653
2603
1843
2604
1477
2605
1685
2606
1737
2701
1501
2702
1460
2703
1596
2704
1641
2705
1658
2706
1591
2707
1599
2708
1829
2801
1510
2802
1689
2803
1704
3101
1549
3102
1665
3104
1552
3105
1744
3201
1628
3202
1915
3203
1994
3204
2024
3301
1501
3302
1624
3303
1516
3304
1659
3305
1490
3401
1716
3402
1751
3403
1864
3404
1889
3405
1793
3406
1859
3501
1506
3502
1579
3503
1686
3504
1836
3505
1442
3506
1538
3507
1697
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
176042
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
176042
0
0
5739.253
Weight for the analysis of time-use data
176042
0
0
7858.94
Weight for the analysis of food consumption by recall
176042
0
14.039
6903.901
q6: Governorate
176042
0
0
Test
0
11
Duhok
10212
12
Nainawa
14502
13
Sulaimaniya
16841
14
Kirkuk
6001
15
Erbil
10764
21
Diyala
7655
22
Anbar
13921
23
Baghdad
13937
24
Babylon
6542
25
Kerbela
3974
26
Wasit
9898
27
Salah al-deen
12875
28
Najaf
4903
31
Qadisiya
6510
32
Muthanna
7561
33
Thi-qar
7790
34
Maysan
10872
35
Basrah
11284
q7: Qadha
176042
0
0
Test
0
1
01
25846
2
02
26314
3
03
26698
4
04
23013
5
05
20593
6
06
16837
7
07
9717
8
08
8876
9
09
5893
10
10
3561
11
11
2433
12
12
1828
13
13
1096
14
14
1091
15
15
1151
16
16
1095
cluster: Cluster serial
176042
0
1
2832
hh: Household Number
176042
0
1
19196
2
19614
3
19703
4
19630
5
19942
6
19466
7
19250
8
19670
9
19571
q27: Size of the Household
176042
0
1
42
ID CODE
176042
0
1
42
1
25146
2
24891
3
23689
4
22125
5
19343
6
15846
7
12050
8
8943
9
6507
10
4635
11
3294
12
2433
13
1796
14
1341
15
1019
16
754
17
562
18
410
19
267
20
214
21
167
22
128
23
94
24
78
25
68
26
52
27
40
28
33
29
28
30
23
31
17
32
13
33
9
34
6
35
6
36
3
37
3
38
3
39
3
40
1
41
1
42
1
q501: ID code respondent education
143772
32270
1
32
1
69462
2
53990
3
6776
4
3690
5
2492
6
1802
7
1351
8
1086
9
774
10
679
11
398
12
391
13
269
14
158
15
152
16
94
17
24
18
85
19
33
20
3
21
26
22
11
23
7
24
3
25
3
26
1
27
2
28
4
29
3
30
1
31
1
32
1
Sysmiss
32270
q502: Have you ever attended school
143764
32278
1
Yes, in the past
68603
2
No, i have never enrolled before
26421
3
Yes, currently attending
48740
Sysmiss
32278
q503: Highest certificate you attained
68606
107436
1
No certificate
26888
2
Elementary
23619
3
Intermediate (mid school)
5936
4
Basic
325
5
Preparatory
2631
6
Vocational
854
7
Diploma from an institution
4466
8
Bachelor degree
3593
9
Postgraduate diploma
63
10
Master degree
116
11
Phd (doctorate)
49
12
Other
66
Sysmiss
107436
q504: Can you read and write
26911
149131
1
No
7548
2
Read only
3159
3
Read and write
16204
Sysmiss
149131
q505: Why you would not like to continue your education
60250
115792
1
There is no easily accessible school in my neighbourhood
4446
2
Teaching is not good and serious enough to encourage continuity
393
3
School time is not flexible
594
4
Mistreatment of the teacher/ instructor/ professor
399
5
I have to work to support my family
14487
6
Hh could not afford school’s expenses
4802
7
My household thought that education is not useful to get a better job
613
8
Going to school is hazardous
1104
9
Social reasons
13363
10
Early marriage
2311
11
Sickness or disability
754
12
Doesn't want to
12665
13
Household chores
2718
14
Other (specify: ___________)
1601
Sysmiss
115792
q506: Main reason why you never attended school
26420
149622
1
There is no easily accessible school in my neighbourhood
8419
2
Teaching is not serious enough to encourage enrollment
139
3
School time is not flexible
151
4
Mistreatment of the teacher/ instructor/ professor
48
5
I have to work to support my family
1514
6
Hh could not afford school’s expenses
1753
7
My household thought that education is not useful to get a better job
537
8
Going to school is hazardous
287
9
Social reasons
7350
10
Early marriage
275
11
Sickness or disability
1124
12
Still too young
1392
13
I am not interested to go to school
2089
14
I have to work in the household
1082
15
Other (specify: ___________)
260
Sysmiss
149622
q507_1: Level you are (were) currently enrolled in school /In what grade are you
48738
127304
1
Primary
25420
2
Intermediate
7190
3
Basic
8033
4
Preparatory
5603
5
Institute
511
6
College
1878
7
Higher education
54
8
Other
49
Sysmiss
127304
q507_2: Grade are you currently (were you) enrolled in school / In what grade ar
48736
127306
0
25
1
8937
2
8741
3
8137
4
7156
5
6804
6
6275
7
996
8
860
9
805
Sysmiss
127306
48735
127307
1
48279
2
Private in iraq
415
3
Other in iraq
29
4
Abroad
12
Sysmiss
127307
q509: The main mean of commuting to this education facility
48726
127316
1
Walking
40301
2
Private car
1872
3
Public transport (taxi, bus…)
6126
4
Bicycle
149
5
Other
257
6
Others
21
Sysmiss
127316
q510: Time it take you to reach this school / university place
48726
127316
0
720
q511A: Number of school years that you have spent
48735
127307
0
50
q511B: Number of repeat years that you have spent
48735
127307
0
31659
1
9542
2
4543
3
1893
4
674
5
248
6
89
7
43
8
24
9
20
Sysmiss
127307
q512: Number of days of the last school month, you were supposed to attend schoo
48732
127310
0
27
q513: Number of days you were absent in the last school month
48735
127307
0
30
q514: Main reason for being absent from school some days during the last school
3634
172408
1
Removed or quit school
81
2
Illness / injury
1697
3
Had to help with household chores
92
4
Mistreatment of the teacher/ instructor/ professor
22
5
Had to work
133
6
Family members sick or died
91
7
Not safe to go
49
8
Other
1469
Sysmiss
172408
q0515: Do use internet?
143763
32279
1
Yes
5234
2
No
138529
Sysmiss
32279
q0516_1: Where use internet (1)
5234
170808
1
At home
4360
2
Internet coffee
198
3
Education institution
124
4
At work
328
5
Everywhere using the mobile or own modem
165
6
Others
59
Sysmiss
170808
q0516_2: Where use internet (2)
1002
175040
1
At home
117
2
Internet coffee
148
3
Education institution
131
4
At work
372
5
Everywhere using the mobile or own modem
218
6
Others
16
Sysmiss
175040
q0516_3: Where use internet (3)
245
175797
1
At home
13
2
Internet coffee
30
3
Education institution
24
4
At work
41
5
Everywhere using the mobile or own modem
118
6
Others
19
Sysmiss
175797
q0516_4: Where use internet (4)
142
175900
1
At home
10
2
Internet coffee
8
3
Education institution
13
4
At work
4
5
Everywhere using the mobile or own modem
29
6
Others
78
Sysmiss
175900
q0517_1: How do use internet (1)
5234
170808
1
Email
1341
2
Chatting
1394
3
Talk
781
4
Web
1608
5
Others
110
Sysmiss
170808
q0517_2: How do use internet (2)
3218
172824
1
Email
274
2
Chatting
849
3
Talk
1080
4
Web
902
5
Others
113
Sysmiss
172824
q0517_3: How do use internet (3)
1357
174685
1
At home
99
2
Internet coffee
150
3
Education institution
418
4
At work
633
5
Others
57
Sysmiss
174685
q0518_1: Purpose for use internet (1)
5230
170812
1
Pleasure
2358
2
Communicate with relatives and friends
1306
3
Business/ work
600
4
Studying and research
899
5
Other (specify: _________)
67
Sysmiss
170812
q0518_2: Purpose for use internet (2)
2941
173101
1
Pleasure
482
2
Communicate with relatives and friends
1560
3
Business/ work
268
4
Studying and research
536
5
Other (specify: _________)
95
Sysmiss
173101
q0518_3: Purpose for use internet (3)
836
175206
1
Pleasure
192
2
Communicate with relatives and friends
121
3
Business/ work
104
4
Studying and research
308
5
Other (specify: _________)
111
Sysmiss
175206
q0519: Average hours/week of Internet
5234
170808
1
98
Questionnaire Identifier
176042
0
110100011
350728329
Stratum
176042
0
1101
3507
1101
1500
1102
1785
1103
1603
1104
1397
1105
1824
1106
1735
1107
1767
1201
1516
1203
1620
1204
1719
1205
1492
1206
1945
1208
1691
1209
1819
1301
880
1302
1117
1303
1058
1304
1133
1305
978
1306
1062
1307
916
1308
842
1309
1127
1310
1111
1311
1132
1312
1052
1313
1096
1314
1091
1315
1151
1316
1095
1401
1310
1402
1992
1403
1269
1404
1430
1501
1170
1502
1207
1503
1251
1504
1103
1505
1193
1506
1085
1508
1244
1509
1454
1510
1057
1511
1301
2101
1300
2102
1372
2103
1258
2104
1130
2105
1263
2106
1332
2201
1819
2202
1773
2203
1909
2204
1673
2205
1877
2206
1628
2207
1706
2208
1536
2301
1228
2302
1381
2303
1421
2304
1350
2305
1203
2306
1325
2307
1409
2308
1734
2309
1493
2310
1393
2401
1436
2402
1850
2403
1682
2405
1574
2501
1273
2502
1277
2503
1424
2601
1503
2602
1653
2603
1843
2604
1477
2605
1685
2606
1737
2701
1501
2702
1460
2703
1596
2704
1641
2705
1658
2706
1591
2707
1599
2708
1829
2801
1510
2802
1689
2803
1704
3101
1549
3102
1665
3104
1552
3105
1744
3201
1628
3202
1915
3203
1994
3204
2024
3301
1501
3302
1624
3303
1516
3304
1659
3305
1490
3401
1716
3402
1751
3403
1864
3404
1889
3405
1793
3406
1859
3501
1506
3502
1579
3503
1686
3504
1836
3505
1442
3506
1538
3507
1697
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
176042
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
176042
0
0
5739.253
Weight for the analysis of time-use data
176042
0
0
7858.94
Weight for the analysis of food consumption by recall
176042
0
14.039
6903.901
q6: Governorate
176042
0
0
Test
0
11
Duhok
10212
12
Nainawa
14502
13
Sulaimaniya
16841
14
Kirkuk
6001
15
Erbil
10764
21
Diyala
7655
22
Anbar
13921
23
Baghdad
13937
24
Babylon
6542
25
Kerbela
3974
26
Wasit
9898
27
Salah al-deen
12875
28
Najaf
4903
31
Qadisiya
6510
32
Muthanna
7561
33
Thi-qar
7790
34
Maysan
10872
35
Basrah
11284
q7: Qadha
176042
0
0
Test
0
1
01
25846
2
02
26314
3
03
26698
4
04
23013
5
05
20593
6
06
16837
7
07
9717
8
08
8876
9
09
5893
10
10
3561
11
11
2433
12
12
1828
13
13
1096
14
14
1091
15
15
1151
16
16
1095
cluster: Cluster serial
176042
0
1
2832
hh: Household Number
176042
0
1
19196
2
19614
3
19703
4
19630
5
19942
6
19466
7
19250
8
19670
9
19571
q27: Size of the Household
176042
0
1
42
ID CODE
176042
0
1
42
1
25146
2
24891
3
23689
4
22125
5
19343
6
15846
7
12050
8
8943
9
6507
10
4635
11
3294
12
2433
13
1796
14
1341
15
1019
16
754
17
562
18
410
19
267
20
214
21
167
22
128
23
94
24
78
25
68
26
52
27
40
28
33
29
28
30
23
31
17
32
13
33
9
34
6
35
6
36
3
37
3
38
3
39
3
40
1
41
1
42
1
q601: ID CODE OF RESPONDENT
176041
1
1
29
2.018
1.924
1
82638
2
70373
3
7410
4
3861
5
2836
6
2124
7
1522
8
1383
9
903
10
759
11
553
12
499
13
435
14
212
15
164
16
118
17
45
18
107
19
25
20
5
21
31
22
10
23
9
24
4
25
4
26
1
27
1
28
1
29
8
Sysmiss
1
q602: Suffer from any continuous, medically diagnosed disability that is expecte
176037
5
1
Yes
6391
2
No
169646
Sysmiss
5
q603: Severity of the disability
6391
169651
1
Slight
2491
2
Considerable
2980
3
Complete disability
920
Sysmiss
169651
q604: How many years ago did you become disabled
6391
169651
0
84
q605: Do you suffer from any medically diagnosed chronic illness
176038
4
1
Yes
17501
2
No
158537
Sysmiss
4
q606: How many years ago did you become chronically ill
17501
158541
0
80
q607: Did you consult or received support..?
176016
26
1
No disability / no chronic illness
154410
2
Did not receive any help
2742
3
Public hospital
3904
4
Primary health care center
525
5
Popular clinic
520
6
Other government health institutions
134
7
Private specialised hospital
629
8
Doctor in private clinic
9661
9
Private laboratory
173
10
Private pharmacy
3047
11
Other inside iraq
108
12
Other country
163
Sysmiss
26
18846
157196
1
Very satisfied
1629
2
Satisfied
9449
3
Somewhat satisfied
5381
4
Not satisfied
2387
Sysmiss
157196
q609: Why didn't you consult with or seek support from any health care personnel
2748
173294
1
Not able to pay expenses
916
2
The medical service is too far
95
3
The medical service is difficult or unsafe to reach
19
4
Long waiting time
125
5
Poor quality of medical staffing
105
6
Do not trust available medical care
170
7
Lack of medical equipment
50
8
Medical services not good
153
9
Other
1115
Sysmiss
173294
q610: You suffered from any illness or injury in the last 90 days
176034
8
1
Yes
46945
2
No
129089
Sysmiss
8
q611A: You suffered acute desease
46947
129095
1
Sugar
589
2
Hypertension
1599
3
Heart disease
652
4
Kidney
2115
5
Tumors
202
6
Cholesterol
199
7
Mental illness
189
8
Psychological diseases
250
9
Diseases of the nervous system and sense organs (paralysis)
1098
10
Gastro enteritis
3242
11
Thyroid
254
12
Viral hepatitis
320
13
Respiratory diseases
21051
14
Obstetric – natal /perinatal/ postnatal - maternal diseases
1839
15
Hematology
738
16
Inflammation of the thyroid
194
17
Skin diseases and floral
1225
18
Disease leading to disability
255
19
Urinary tract infection
1245
20
Infectious and parasitic diseases
4630
21
Other diseases
3966
22
None
1095
Sysmiss
129095
q611B: You suffered accident or injury
46949
129093
1
Rupture
369
2
Wounds in the head and internal injuries
179
3
Sinking
6
4
Suffocation
220
5
Fractures
586
6
Toxins
51
7
Burns
195
8
Run over by a car
86
9
Work-related accidents
111
10
Other
388
11
None
44758
Sysmiss
129093
46948
129094
0
1440
q0613: Did you receive medical care...?
46947
129095
1
Yes
43685
2
No
3261
8
1
Sysmiss
129095
q614: Where did you receive medical care because of this illness or injury
43687
132355
1
Public hospital
9971
2
Primary health care center
5897
3
Popular clinic
1964
4
Other government health institutions
359
5
Private specialised hospital
468
6
Medical specialist
14944
7
Private laboratory
356
8
Private pharmacy
9290
9
Other inside iraq
385
10
Other country
53
Sysmiss
132355
q615: How satisfied with the medical care received
43687
132355
1
Very satisfied
6624
2
Satisfied
26203
3
Somewhat satisfied
8589
4
Not satisfied
2271
Sysmiss
132355
q616: Location of this medical service
43687
132355
1
Same nahia
18564
2
Same qada
16516
3
Same province
7121
4
Other province
1405
5
Abroad
81
Sysmiss
132355
q617: Main mean of commuting to this health
43606
132436
1
Walking
11592
2
Private car
13172
3
Public transport (taxi, bus…)
18539
4
Motorcycle
122
5
Bicycle
62
6
Other
119
Sysmiss
132436
q618: Minutes did it take to reach the health facility by utilizing the actual a
43604
132438
0
360
q619: Why didn't you consult with or seek support from any health care personnel
3265
172777
1
Not able to pay expenses
578
2
Difficulty of securing the means of transport
65
3
Lack of doctor / nurse
15
4
Lack of doctor
23
5
Lack of medical facilities
11
6
Poor quality of medical staffing
32
7
Lack of medical equipment
4
8
Disease was slightly
2091
9
The lack of an appropriate service
25
10
Social reasons
24
11
Is not safe because the security situation
8
12
Long waiting time
22
13
Other
367
Sysmiss
172777
q620: Is an ever married woman, aged 12 -49 years
49302
126740
-3
???????
8
1
Yes
27640
2
No
21654
Sysmiss
126740
q621: Have you ever given birth to a child
27653
148389
1
Yes
24145
2
No
3508
Sysmiss
148389
q622: Have you given birth during the past 12 months
24147
151895
1
Yes
5817
2
No
18330
Sysmiss
151895
q623A: Boys you have given birth to during the past 12 months
5814
170228
q623B: Girls you have given birth to during the past 12 months
5815
170227
q624A: Boys still alive you have given birth to during the past 12 months
5813
170229
q624B: Girls still alive you have given birth to during the past 12 months
5812
170230
q625: Who assisted with the delivery of this last child
24156
151886
1
Doctor (public)
13095
2
Doctor (private)
1232
3
Nurse or others (public)
4844
4
Nurse/ midwife (private)
423
5
Traditional birth attendant
3512
6
Jeddah arab (untrained)
1004
7
Other (specify)
26
8
Nobody assisted
20
Sysmiss
151886
q626: Have you ever experienced any types of birth complication
24156
151886
1
Yes
4292
2
No
19864
Sysmiss
151886
Questionnaire Identifier
25176
0
110100011
350728329
Stratum
25176
0
1101
3507
1101
215
1102
217
1103
216
1104
216
1105
216
1106
216
1107
216
1201
216
1203
216
1204
216
1205
217
1206
217
1208
211
1209
216
1301
192
1302
205
1303
203
1304
209
1305
209
1306
204
1307
198
1308
200
1309
209
1310
206
1311
212
1312
209
1313
209
1314
205
1315
213
1316
209
1401
215
1402
207
1403
189
1404
216
1501
216
1502
215
1503
216
1504
212
1505
215
1506
216
1508
215
1509
216
1510
212
1511
216
2101
204
2102
214
2103
214
2104
216
2105
211
2106
215
2201
216
2202
217
2203
217
2204
215
2205
213
2206
216
2207
213
2208
213
2301
215
2302
216
2303
217
2304
216
2305
214
2306
215
2307
214
2308
216
2309
214
2310
216
2401
216
2402
215
2403
216
2405
216
2501
201
2502
206
2503
205
2601
215
2602
214
2603
215
2604
216
2605
216
2606
216
2701
214
2702
217
2703
217
2704
209
2705
217
2706
215
2707
216
2708
216
2801
214
2802
218
2803
216
3101
217
3102
217
3104
218
3105
212
3201
216
3202
217
3203
214
3204
216
3301
217
3302
215
3303
216
3304
216
3305
216
3401
215
3402
215
3403
215
3404
215
3405
215
3406
215
3501
215
3502
214
3503
216
3504
216
3505
216
3506
215
3507
215
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
25176
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
25176
0
0
5739.253
Weight for the analysis of time-use data
25176
0
0
7858.94
Weight for the analysis of food consumption by recall
25176
0
14.039
6903.901
q6: Governorate
25176
0
0
Test
0
11
Duhok
1350
12
Nainawa
1887
13
Sulaimaniya
3292
14
Kirkuk
827
15
Erbil
1933
21
Diyala
1274
22
Anbar
1720
23
Baghdad
2153
24
Babylon
863
25
Kerbela
612
26
Wasit
1292
27
Salah al-deen
1721
28
Najaf
648
31
Qadisiya
864
32
Muthanna
863
33
Thi-qar
1080
34
Maysan
1290
35
Basrah
1507
q7: Qadha
25176
0
0
Test
0
1
01
3829
2
02
3549
3
03
3618
4
04
3222
5
05
2931
6
06
2360
7
07
1344
8
08
1271
9
09
855
10
10
634
11
11
428
12
12
299
13
13
209
14
14
205
15
15
213
16
16
209
cluster: Cluster serial
25176
0
1
2832
hh: Household Number
25176
0
1
2808
2
2801
3
2786
4
2806
5
2802
6
2784
7
2793
8
2800
9
2796
q27: Size of the Household
25176
0
1
42
Death number
740
24436
1
709
2
29
3
2
Sysmiss
24436
25175
1
1
Yes
744
2
No
24431
Sysmiss
1
q628: Number of members of the household (child or grown up) who died during the
756
24420
q630: Gender of deceased person
740
24436
1
Male
409
2
Female
331
Sysmiss
24436
q631: Age of deceased person
740
24436
0
115
q632: Reason for death of person
740
24436
1
Sickness
550
2
Accident
89
3
Military operations
9
4
Pregnancy
1
5
Giving birth
15
6
Postnatal
19
7
Other
57
Sysmiss
24436
Questionnaire Identifier
176042
0
110100011
350728329
Stratum
176042
0
1101
3507
1101
1500
1102
1785
1103
1603
1104
1397
1105
1824
1106
1735
1107
1767
1201
1516
1203
1620
1204
1719
1205
1492
1206
1945
1208
1691
1209
1819
1301
880
1302
1117
1303
1058
1304
1133
1305
978
1306
1062
1307
916
1308
842
1309
1127
1310
1111
1311
1132
1312
1052
1313
1096
1314
1091
1315
1151
1316
1095
1401
1310
1402
1992
1403
1269
1404
1430
1501
1170
1502
1207
1503
1251
1504
1103
1505
1193
1506
1085
1508
1244
1509
1454
1510
1057
1511
1301
2101
1300
2102
1372
2103
1258
2104
1130
2105
1263
2106
1332
2201
1819
2202
1773
2203
1909
2204
1673
2205
1877
2206
1628
2207
1706
2208
1536
2301
1228
2302
1381
2303
1421
2304
1350
2305
1203
2306
1325
2307
1409
2308
1734
2309
1493
2310
1393
2401
1436
2402
1850
2403
1682
2405
1574
2501
1273
2502
1277
2503
1424
2601
1503
2602
1653
2603
1843
2604
1477
2605
1685
2606
1737
2701
1501
2702
1460
2703
1596
2704
1641
2705
1658
2706
1591
2707
1599
2708
1829
2801
1510
2802
1689
2803
1704
3101
1549
3102
1665
3104
1552
3105
1744
3201
1628
3202
1915
3203
1994
3204
2024
3301
1501
3302
1624
3303
1516
3304
1659
3305
1490
3401
1716
3402
1751
3403
1864
3404
1889
3405
1793
3406
1859
3501
1506
3502
1579
3503
1686
3504
1836
3505
1442
3506
1538
3507
1697
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
176042
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
176042
0
0
5739.253
Weight for the analysis of time-use data
176042
0
0
7858.94
Weight for the analysis of food consumption by recall
176042
0
14.039
6903.901
q6: Governorate
176042
0
0
Test
0
11
Duhok
10212
12
Nainawa
14502
13
Sulaimaniya
16841
14
Kirkuk
6001
15
Erbil
10764
21
Diyala
7655
22
Anbar
13921
23
Baghdad
13937
24
Babylon
6542
25
Kerbela
3974
26
Wasit
9898
27
Salah al-deen
12875
28
Najaf
4903
31
Qadisiya
6510
32
Muthanna
7561
33
Thi-qar
7790
34
Maysan
10872
35
Basrah
11284
q7: Qadha
176042
0
0
Test
0
1
01
25846
2
02
26314
3
03
26698
4
04
23013
5
05
20593
6
06
16837
7
07
9717
8
08
8876
9
09
5893
10
10
3561
11
11
2433
12
12
1828
13
13
1096
14
14
1091
15
15
1151
16
16
1095
cluster: Cluster serial
176042
0
1
2832
hh: Household Number
176042
0
1
19196
2
19614
3
19703
4
19630
5
19942
6
19466
7
19250
8
19670
9
19571
q27: Size of the Household
176042
0
1
42
ID CODE
176042
0
1
42
1
25146
2
24891
3
23689
4
22125
5
19343
6
15846
7
12050
8
8943
9
6507
10
4635
11
3294
12
2433
13
1796
14
1341
15
1019
16
754
17
562
18
410
19
267
20
214
21
167
22
128
23
94
24
78
25
68
26
52
27
40
28
33
29
28
30
23
31
17
32
13
33
9
34
6
35
6
36
3
37
3
38
3
39
3
40
1
41
1
42
1
Is the person's age less than 60 months?
76298
99744
1
Yes
27098
2
No
49200
Sysmiss
99744
q702: Age in months
27100
148942
0
60
q703: Result of the measurement
76271
99771
1
Measured
70928
2
Could not meet the person after multiple visits
3542
3
Too ill or disabled
347
4
Refused
1249
5
Other (specify)
205
Sysmiss
99771
q704: Height in cm
70945
105097
0.8
200
q705: How was measured if 24 months or less
16724
159318
1
Standing
11090
2
Lying
5634
Sysmiss
159318
q706: Weight in kg
70942
105100
0.3
230
70985
105057
1
29
q707m: Month of the measurement
70988
105054
70991
105051
Questionnaire Identifier
176042
0
110100011
350728329
Stratum
176042
0
1101
3507
1101
1500
1102
1785
1103
1603
1104
1397
1105
1824
1106
1735
1107
1767
1201
1516
1203
1620
1204
1719
1205
1492
1206
1945
1208
1691
1209
1819
1301
880
1302
1117
1303
1058
1304
1133
1305
978
1306
1062
1307
916
1308
842
1309
1127
1310
1111
1311
1132
1312
1052
1313
1096
1314
1091
1315
1151
1316
1095
1401
1310
1402
1992
1403
1269
1404
1430
1501
1170
1502
1207
1503
1251
1504
1103
1505
1193
1506
1085
1508
1244
1509
1454
1510
1057
1511
1301
2101
1300
2102
1372
2103
1258
2104
1130
2105
1263
2106
1332
2201
1819
2202
1773
2203
1909
2204
1673
2205
1877
2206
1628
2207
1706
2208
1536
2301
1228
2302
1381
2303
1421
2304
1350
2305
1203
2306
1325
2307
1409
2308
1734
2309
1493
2310
1393
2401
1436
2402
1850
2403
1682
2405
1574
2501
1273
2502
1277
2503
1424
2601
1503
2602
1653
2603
1843
2604
1477
2605
1685
2606
1737
2701
1501
2702
1460
2703
1596
2704
1641
2705
1658
2706
1591
2707
1599
2708
1829
2801
1510
2802
1689
2803
1704
3101
1549
3102
1665
3104
1552
3105
1744
3201
1628
3202
1915
3203
1994
3204
2024
3301
1501
3302
1624
3303
1516
3304
1659
3305
1490
3401
1716
3402
1751
3403
1864
3404
1889
3405
1793
3406
1859
3501
1506
3502
1579
3503
1686
3504
1836
3505
1442
3506
1538
3507
1697
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
176042
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
176042
0
0
5739.253
Weight for the analysis of time-use data
176042
0
0
7858.94
Weight for the analysis of food consumption by recall
176042
0
14.039
6903.901
q6: Governorate
176042
0
0
Test
0
11
Duhok
10212
12
Nainawa
14502
13
Sulaimaniya
16841
14
Kirkuk
6001
15
Erbil
10764
21
Diyala
7655
22
Anbar
13921
23
Baghdad
13937
24
Babylon
6542
25
Kerbela
3974
26
Wasit
9898
27
Salah al-deen
12875
28
Najaf
4903
31
Qadisiya
6510
32
Muthanna
7561
33
Thi-qar
7790
34
Maysan
10872
35
Basrah
11284
q7: Qadha
176042
0
0
Test
0
1
01
25846
2
02
26314
3
03
26698
4
04
23013
5
05
20593
6
06
16837
7
07
9717
8
08
8876
9
09
5893
10
10
3561
11
11
2433
12
12
1828
13
13
1096
14
14
1091
15
15
1151
16
16
1095
cluster: Cluster serial
176042
0
1
2832
hh: Household Number
176042
0
1
19196
2
19614
3
19703
4
19630
5
19942
6
19466
7
19250
8
19670
9
19571
q27: Size of the Household
176042
0
1
42
ID CODE
176042
0
1
42
1
25146
2
24891
3
23689
4
22125
5
19343
6
15846
7
12050
8
8943
9
6507
10
4635
11
3294
12
2433
13
1796
14
1341
15
1019
16
754
17
562
18
410
19
267
20
214
21
167
22
128
23
94
24
78
25
68
26
52
27
40
28
33
29
28
30
23
31
17
32
13
33
9
34
6
35
6
36
3
37
3
38
3
39
3
40
1
41
1
42
1
q801: How many hours did you work during the past week
143763
32279
0
142
q802: Why you didn't work, even for an hour, during the last 7 days
106180
69862
1
Too young, low age
5909
2
Full-time student
43572
3
Social reasons
3477
4
I have a contract and will start work soon
35
5
Inability / handicap
2244
6
Retired
1762
7
Too old
5459
8
House wife
34591
9
I have no desire
1148
10
Temporarily absent due to illness or vacation or other reason
2222
11
Due to the end of work (seasonal ..)
649
12
I was dismissed
82
13
I was unable to get a job
4379
14
Due to security reasons
48
15
Other
603
Sysmiss
69862
q803: Are you looking for work/ more work whatever is the type
90767
85275
1
Yes
19591
2
No
71176
Sysmiss
85275
q804: Why don’t you want work/ more work
71208
104834
1
I cannot find a job
287
2
I currently work full time
14114
3
Satisfied with my status
5480
4
Housework dedicated female
33070
5
Social ties
1285
6
Too old for work or retired
7348
7
Too young for more work
221
8
Student
869
9
Unable take more work
5059
10
Have income no need to work
312
11
Due to the state of security
29
12
Disability
2411
13
Other
722
20
1
Sysmiss
104834
q805: When did you last take any action to look for work
19866
156176
1
Last seven days
3808
2
During the past month
4484
3
Before one month
2897
4
Less than a year
1523
5
More than a year
1808
6
Never
5346
Sysmiss
156176
q806_1: What did you do to get a first job
14541
161501
1
Registered at labor office
1064
2
Asked friends/relatives
9370
3
Applied directly to employer(s)
1801
4
Followed job opportunity announcements
551
5
Newspaper advertisement
83
6
Tried to find work abroad
5
7
Contacted ngos
63
8
Contacted the local government
1235
9
Contacted the central government
261
10
Other means
108
Sysmiss
161501
q806_2: What did you do to get a second job
8695
167347
1
Registered at labor office
7
2
Asked friends/relatives
1824
3
Applied directly to employer(s)
3782
4
Followed job opportunity announcements
1407
5
Newspaper advertisement
258
6
Tried to find work abroad
15
7
Contacted ngos
82
8
Contacted the local government
937
9
Contacted the central government
199
10
Other means
184
Sysmiss
167347
q806_3: What did you do to get a third job
4747
171295
1
Registered at labor office
8
2
Asked friends/relatives
379
3
Applied directly to employer(s)
622
4
Followed job opportunity announcements
1767
5
Newspaper advertisement
405
6
Tried to find work abroad
19
7
Contacted ngos
136
8
Contacted the local government
495
9
Contacted the central government
279
10
Other means
637
Sysmiss
171295
q807m: Month when you registered at the Labor Office
1063
174979
q807y: Year when you registered at the Labor Office
1077
174965
1992
2013
q808: would you have been able and willing to start working
19863
156179
1
Yes
19549
2
No
314
Sysmiss
156179
q809: Full-time wage job
123784
52258
1
Yes, in the past
5196
2
Yes, currently
13073
3
No
105515
Sysmiss
52258
q0810 Occupation Description (unicode)
5183
0
q810c: Code of the work
5186
170856
11001
962906
11001
31
21001
91
21002
33
31001
220
31002
160
31003
687
111105
1
111302
1
111304
1
111406
1
111407
1
111409
1
111410
1
112001
1
112006
2
112007
3
112008
3
112009
3
112017
31
112018
17
112020
2
112023
10
112034
1
121101
1
121102
5
121103
1
121105
15
121107
1
121108
2
121201
4
121301
2
121302
1
121901
3
121902
1
121903
1
121905
1
122102
7
122104
1
122301
1
122303
2
131101
1
131102
1
131103
3
132102
1
132105
1
132301
1
132302
1
132401
2
132403
1
132404
4
133101
1
134502
12
134602
1
134606
1
134905
2
134910
1
134912
4
134914
1
141101
1
141201
5
143106
1
143902
4
211315
1
211316
1
213201
3
213202
1
213204
6
213205
1
213207
2
213212
2
213216
1
213301
1
214101
1
214104
1
214201
1
214211
1
214214
2
214215
1
214216
2
214301
1
214302
1
214401
3
214403
1
214414
1
214416
2
214418
2
215101
3
216101
1
216301
1
221213
1
222101
1
222102
1
222104
9
222105
1
222107
1
222110
2
222112
1
222202
1
226101
2
226104
1
226201
2
226301
1
231001
1
231006
3
231009
1
231011
11
231013
1
231040
1
231041
1
231044
1
231064
1
231067
1
231083
2
231085
1
231094
2
232001
2
232002
1
232006
1
232008
1
233001
3
233002
4
233004
5
233005
12
233006
4
233009
2
233013
7
233014
4
233015
11
233016
9
234101
53
234102
11
234103
22
234104
33
234105
12
234106
2
234107
2
234110
1
234111
2
234112
8
234201
2
235101
1
235105
1
235201
2
235308
5
235309
6
235901
3
241101
13
241102
2
241103
10
241104
1
241105
4
241107
2
242202
9
242204
4
242302
1
242304
3
242401
1
242404
1
242407
1
242415
1
242420
1
242421
7
242436
1
242440
4
242442
1
242444
2
242447
1
242449
1
243104
2
251301
2
251401
2
261101
5
261102
2
261103
1
261105
3
261903
1
261906
11
262102
1
262205
1
263104
1
263204
1
263305
1
263502
1
263503
1
263504
1
263505
2
263601
1
263602
3
263606
1
264306
1
265103
1
265108
1
265501
1
311102
2
311113
1
311203
1
311205
5
311207
3
311209
1
311210
1
311301
12
311302
5
311303
1
311304
1
311306
3
311307
3
311308
3
311309
1
311311
2
311315
1
311401
1
311409
1
311412
4
311414
1
311415
2
311423
1
311501
12
311502
3
311503
7
311504
4
311505
3
311509
2
311510
3
311511
1
311513
1
311515
1
311517
5
311519
1
311520
1
311521
1
311524
1
311527
1
311603
2
311608
3
311609
2
311610
1
311701
3
311705
6
311707
1
311801
1
311821
1
311901
1
311904
2
311908
1
312203
2
312205
1
312207
1
312209
3
312214
1
312301
3
313101
1
313102
7
313201
6
313202
1
313205
1
313206
4
313902
3
313903
1
313907
1
313909
1
314105
1
314201
3
314202
3
314211
7
314213
1
314214
2
314216
4
314219
4
314224
2
314225
4
314227
3
314228
2
314301
2
315203
1
315215
1
315303
3
321101
1
321111
1
321301
1
321303
2
322101
1
322108
1
322202
2
322203
1
324001
2
325101
1
325201
1
325301
2
325302
1
325601
1
325602
1
325603
2
325703
2
325801
4
331101
1
331201
5
331402
2
331502
1
332204
1
332207
4
332216
1
333302
1
333401
2
334301
4
334303
4
334304
3
334305
1
334306
9
334310
38
334401
1
335201
1
335204
1
335205
3
335301
1
335302
1
335303
3
335305
8
335401
1
335402
1
335403
2
335501
10
335502
2
335903
6
341201
2
341203
1
341301
5
342101
1
342201
2
342202
1
343101
2
343109
2
343303
1
343401
1
343506
1
351206
1
351208
1
352101
1
352102
1
352204
1
411001
18
411002
1
411004
14
411005
4
411006
4
411007
1
411009
3
411010
1
411013
1
411021
1
411023
2
413101
1
413104
1
413106
1
413201
4
413202
2
421101
1
421102
3
421401
2
421402
1
422301
4
422401
2
422501
1
422601
4
422603
1
422604
1
422605
1
422905
1
431101
2
431103
1
431105
4
431107
3
431201
1
431205
2
431206
1
432101
1
432201
1
432303
1
432306
1
432308
2
441202
3
441203
1
441207
2
441209
1
441210
6
441601
22
441901
1
454006
1
511301
1
511304
1
512001
2
512002
2
512004
1
512008
1
512011
1
512012
1
512014
1
512017
1
512019
8
512021
1
513101
2
513102
3
513103
1
513104
5
514101
1
514102
7
514104
4
515102
3
515301
1
516201
2
516202
2
516401
1
516402
1
516404
23
516405
7
521101
4
521103
11
521204
2
521205
2
521207
1
521208
9
522101
1
522102
2
522103
1
522105
3
522106
14
522201
1
522202
2
522204
2
522301
9
522302
2
522304
3
522305
2
522306
5
522307
5
522308
5
522309
1
522312
4
522314
4
522318
1
522322
4
522323
1
522324
1
522329
1
522334
1
522337
1
522348
1
522351
1
522366
1
522368
3
522371
4
522374
1
522379
1
523001
6
524202
1
524501
1
524601
4
524901
7
524906
1
531101
2
531102
2
531103
1
531201
8
532105
1
532107
7
532108
1
532109
2
532902
7
541101
7
541102
3
541201
28
541202
3
541203
40
541204
2
541205
17
541206
51
541207
34
541208
1
541401
12
541402
73
541403
54
541404
1
541406
3
541408
58
541409
5
541410
1
541901
1
541905
6
561001
1
611101
25
611102
38
611104
4
611203
1
611206
5
611303
2
611307
1
611401
1
611402
13
611406
2
611407
3
612102
16
612103
5
612104
40
612111
3
612202
3
612203
2
612204
1
612205
2
612210
1
612901
1
613001
13
621001
1
621002
1
621003
2
621005
1
621006
3
621015
5
622201
1
631001
97
632001
1
632005
1
633001
10
634001
3
711101
5
711102
2
711201
18
711202
5
711203
11
711206
9
711306
1
711307
1
711311
3
711401
1
711501
5
711502
2
711901
2
712104
1
712106
4
712201
7
712202
9
712203
2
712205
2
712301
4
712302
12
712303
1
712304
11
712601
2
712602
5
712603
5
712701
1
712704
1
712713
1
713101
4
713102
4
713302
3
721201
2
721202
1
721203
1
721210
1
721216
2
721301
10
721303
4
721304
2
721305
1
721307
2
721308
2
721401
2
721403
1
721411
1
721503
2
722106
2
722407
1
722419
1
723101
5
723104
1
723108
1
723112
1
723113
2
723118
1
723130
2
723139
2
723148
1
723150
1
723152
1
723156
1
723162
2
723309
2
723310
2
723323
1
723324
1
723328
1
731506
1
731605
1
731608
1
731703
2
731714
1
731807
1
731808
1
731809
3
731901
3
732108
1
732201
10
732223
1
732230
2
732307
1
741102
1
741202
1
741203
1
741208
1
741301
1
741302
1
741305
3
741308
1
741309
1
741311
2
741312
1
741315
1
741317
1
741320
1
741322
1
741324
1
741327
1
742106
2
742201
1
751101
1
751102
1
751103
4
751108
1
751201
6
751203
3
751204
12
751405
1
751502
1
751605
4
752202
2
752204
9
752205
3
752209
5
752212
1
752213
1
752216
1
753101
3
753102
1
753103
1
753104
17
753105
5
753106
1
753108
3
753302
11
753407
1
753604
1
753607
2
754101
1
754202
1
811003
1
811301
2
811304
2
811305
1
811409
1
811411
6
811412
1
811418
1
813117
3
813122
1
813123
1
813124
1
813125
2
813132
1
813133
1
814201
1
814202
2
814306
2
815107
1
815211
4
815306
1
815307
1
815310
4
815408
1
815503
1
815606
1
815901
3
816013
1
816038
1
816045
2
816057
1
816060
3
816083
1
816089
1
821102
2
821106
1
821202
1
821203
1
821204
1
821205
2
821206
1
821210
2
821901
1
821902
1
821904
4
831101
3
831104
1
832101
1
832201
12
832202
29
832203
26
832204
59
832205
33
832206
9
832207
3
833101
8
833102
12
833103
5
833201
29
833202
38
834101
11
834102
3
834106
7
834202
5
834203
15
834204
4
834205
3
834206
3
834207
1
834218
2
834223
1
834227
2
834301
1
834302
4
834304
8
834306
3
834308
3
834404
1
911102
1
911201
25
911202
2
911203
7
912201
1
912301
1
912901
2
912902
3
921102
4
921103
1
921104
4
921106
21
921107
15
921108
1
921109
2
921110
2
921111
18
921204
16
921301
61
921401
8
921402
1
921501
6
921604
2
931102
3
931103
1
931201
3
931203
2
931204
1
931205
1
931206
1
931301
1
931302
463
931303
3
932101
102
932103
4
932104
2
932901
5
933001
1
933101
5
933201
2
933302
13
933304
1
933307
5
933401
6
941101
3
941201
4
941202
14
941206
1
951002
4
951003
3
952002
1
952006
3
952008
1
961101
9
961301
40
962101
1
962102
110
962104
39
962202
3
962302
2
962902
1
962903
1
962904
2
962905
4
962906
4
Sysmiss
170856
q811m: Month you stopped doing the last full-time job you had
5184
170858
q811y: Year when you stopped doing the last full-time job you had
5187
170855
4
2012
Questionnaire Identifier
413921
0
110100011
350728329
Stratum
413921
0
1101
3507
1101
4603
1102
4517
1103
4837
1104
4189
1105
4587
1106
4471
1107
4130
1201
3656
1203
3554
1204
3528
1205
2124
1206
3069
1208
2642
1209
1832
1301
3632
1302
3529
1303
4081
1304
3692
1305
4002
1306
3339
1307
3245
1308
3074
1309
4615
1310
4222
1311
4112
1312
4146
1313
4191
1314
4156
1315
4046
1316
3786
1401
4357
1402
3399
1403
2876
1404
4027
1501
3647
1502
3969
1503
3481
1504
3381
1505
3783
1506
3241
1508
3204
1509
3246
1510
3553
1511
3629
2101
2873
2102
3494
2103
3102
2104
2732
2105
3181
2106
2723
2201
3686
2202
3975
2203
3553
2204
3740
2205
3778
2206
4177
2207
3391
2208
3293
2301
3146
2302
3841
2303
3829
2304
3552
2305
3974
2306
3561
2307
2754
2308
3833
2309
3707
2310
3481
2401
3740
2402
3214
2403
3417
2405
4262
2501
3576
2502
3430
2503
3667
2601
2774
2602
4231
2603
4055
2604
2948
2605
3738
2606
3812
2701
2994
2702
3334
2703
2671
2704
3754
2705
3046
2706
2618
2707
3293
2708
3505
2801
4322
2802
4290
2803
3631
3101
3318
3102
3413
3104
3181
3105
2790
3201
2668
3202
3723
3203
2232
3204
3688
3301
3281
3302
2823
3303
2814
3304
2661
3305
2723
3401
2947
3402
3693
3403
2489
3404
2525
3405
2401
3406
2437
3501
3747
3502
3833
3503
4232
3504
3951
3505
3599
3506
3908
3507
3746
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
413921
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
413921
0
0
5739.253
Weight for the analysis of time-use data
413921
0
0
7858.94
Weight for the analysis of food consumption by recall
413921
0
14.039
6903.901
q6: Governorate
413921
0
0
Test
0
11
Duhok
27992
12
Nainawa
27376
13
Sulaimaniya
61868
14
Kirkuk
14659
15
Erbil
31505
21
Diyala
18105
22
Anbar
29593
23
Baghdad
35678
24
Babylon
14633
25
Kerbela
10673
26
Wasit
21558
27
Salah al-deen
25215
28
Najaf
12243
31
Qadisiya
12702
32
Muthanna
12311
33
Thi-qar
14302
34
Maysan
16492
35
Basrah
27016
q7: Qadha
413921
0
0
Test
0
1
01
62967
2
02
60861
3
03
58521
4
04
51549
5
05
46493
6
06
37356
7
07
22054
8
08
19551
9
09
13400
10
10
11256
11
11
7741
12
12
5993
13
13
4191
14
14
4156
15
15
4046
16
16
3786
cluster: Cluster serial
413921
0
1
2832
hh: Household Number
413921
0
1
46967
2
46654
3
45995
4
46909
5
46811
6
45765
7
44991
8
45081
9
44748
q27: Size of the Household
413921
0
1
42
Coicop code
413921
0
128
Cash dowry - goods for a
0
151
The cost of purchasing a
0
152
Expenses for building or
0
153
The cost of purchasing a
0
154
Housing projects premiums
0
155
Premiums to extend sewer
0
156
Buy gold bars, jewelry an
0
157
Purchase of foreign curre
0
158
Purchase of shares and bo
0
159
Other capital expenditure
0
161
Gifts in kind
0
162
Cash gifts
0
163
Donations and alms and za
0
164
After marriage dowry and
0
165
Offenses (traffic, etc. .
0
166
Other transfers within ir
0
167
Other transfers out of ir
0
168
Religious vows and expens
0
169
Tribal fund subscription
0
170
Tribal payment subscripti
0
171
Other transfer expenses
0
172
Total page
0
4190
Total page
0
4330
Total page
0
4490
Total page
0
4690
Total page
0
4790
Total page
0
4960
Total page
0
5140
Total page
0
5180
Total page
0
5670
Total page
0
5850
Total page
0
6030
Total page
0
6170
Total page
0
6340
Total page
0
6490
Total page
0
6670
Total page
0
6860
Total page
0
7000
Total page
0
7130
Total page
0
7760
Total page
0
7880
Total page
0
8070
Total page
0
8290
Total page
0
8480
Total page
0
8680
Total page
0
8840
Total page
0
9010
Total page
0
9170
Total page
0
9320
Total page
0
9450
Total page
0
9580
Total page
0
9730
Total page
0
311101
Men woolen fabrics
0
311102
Women woolen fabrics
0
311103
Woolen fabrics for childr
0
311104
Men cotton fabrics
0
311105
Women cotton fabrics
0
311106
Cotton fabrics for childr
0
311107
Men silk fabrics
0
311108
Women silk fabrics
0
311109
Silk fabrics for children
0
311110
Men synthetic fabric
0
311111
Women synthetic fabrics
0
311112
Synthetic fabrics for chi
0
311113
Payment for sewing men
0
311114
Payment for sewing women
0
311115
Payment for clothes child
0
311116
Other clothing articles
0
312101
Coats
0
312102
Jackets
0
312103
Pants
0
312104
Coats
0
312105
Shirts
0
312106
Underwear
0
312107
Suits
0
312108
Dishdasha
0
312109
Wool cloak
0
312110
Pajamas
0
312111
Eshmag
0
312112
Headband
0
312113
Arakjan
0
312114
Juarib
0
312115
Sportswear
0
312116
Sweater
0
312117
T-shirt
0
312118
Men other garments
0
312201
Coats
0
312202
Jackets
0
312203
Pants
0
312204
Coats
0
312205
Shirts
0
312206
Underwear
0
312207
Suits
0
312208
Dishdasha
0
312209
Mantle
0
312210
Pajamas
0
312211
Skirt
0
312212
Gergd
0
312213
Foutah
0
312214
Shawls, tie
0
312215
Juarib
0
312216
Sportswear
0
312217
Sweatshirts
0
312218
T-shirt
0
312219
Other women ready made
0
312301
Coats
0
312302
Jackets
0
312303
Pants
0
312304
Coats
0
312305
Shirts
0
312306
Underwear
0
312307
Suits
0
312308
Dishdasha
0
312309
Sportswear
0
312310
Pajamas
0
312311
Skirt
0
312312
Sweatshirts
0
312313
Juarib
0
312314
Other children clothing
0
313101
Tie
0
313102
Hnad kerchiefs
0
313103
Gloves of all kinds
0
313104
Belts
0
313105
Carriers of pants
0
313106
Caps
0
313107
Sewing thread and knittin
0
313108
Buckles
0
313109
Buttons
0
313110
Other
0
314101
Wages repair clothing
0
314102
Payments for sewing cloth
0
314103
Ironing clothes
0
314104
Washing clothes
0
314105
Clothing dye
0
314106
Mending clothing
0
314107
Rental of clothing
0
314108
Other fees (laundry, repa
0
321101
Leather shoes
0
321102
Non leather shoes
0
321103
Slippers
0
321104
Sports shoes
0
321105
Other (clog slippers .. e
0
321201
Leather shoes
0
321202
Non leather shoes
0
321203
Slippers
0
321204
Sports shoes
0
321205
Other (clog slippers .. e
0
321301
Leather shoes
0
321302
Non leather shoes
0
321303
Slippers
0
321304
Sports shoes
0
321305
Other (clog slippers .. e
0
321401
Article fat and pigments
7444
321402
Material maintenance shoe
877
321403
Other (kietin .... etc.)
69
322401
Wages dye and repair
505
322402
Other (rental shoes ....
7
431101
Restoration, repair and m
0
431102
Home decorating
0
431103
Dye house
0
432101
Acts of housing maintenan
0
442101
Wages for garbage collect
489
444101
Other services (guarding,
106
452101
Liquid from the gas stati
2440
452102
Liquid gas trading
22178
452103
Liquid gas by pipeline
8
452204
Kerosene from the station
498
452205
Kaz commercial
1171
452206
Engine oils
1071
453101
Kerosene from the station
6709
453102
White oil trading
2528
454101
Coal
1258
454102
Wood
1226
454103
Amplitude
871
454104
Other (remains of plants,
1388
511101
Bedroom
0
511102
Reception room
0
511103
Dining table with chairs
0
511104
Buffet food
0
511105
Living room
0
511106
Bed of all kinds
0
511107
Chair
0
511108
Table
0
511109
Wardrobe
0
511110
Library
0
511111
Kitchen counters
0
511112
Tepel lamb
0
511113
Pictures and paintings
0
511114
Antiques, statues
0
511115
Ready curtains of all kin
0
511116
Chandeliers
0
511117
Mirror
0
511118
Vases
0
511119
Other (furniture, equipme
0
512101
Rugs
0
512102
Carpet
0
512103
Floor mats
0
512104
Extension
0
512105
Wages repair
0
512106
Other (rugs, blankets the
0
521101
Sheets and mattresses
0
521102
Blankets and back
0
521103
Ready pillows
0
521104
Duck and quilts
0
521105
Towels and towels
0
521106
Sheets for tables
0
521107
Table linens
0
521108
Wool
0
521109
Cotton
0
521110
Feathering
0
521111
Foam
0
521112
Wages ndavh
0
521113
Fabrics for furniture
0
521114
Wages of sewing furniture
0
521115
Textiles and other furnis
0
521116
Wages for repair
0
531101
Fridge
0
531102
Frozen
0
531103
Water cooler
0
531104
Other (refrigerators and
0
531201
Electric washing machine
0
531202
Electric clothes dryer
0
531203
Dishwasher, electric
0
531204
Electric iron
0
531205
Other (washing machines a
0
531301
Gas cooker
0
531302
Electric cooker
0
531303
Cook oil
0
531304
Electric oven
0
531305
Electric grill
0
531306
Gas grill
0
531307
Premz
0
531308
Oven gas
0
531309
Other (round .... etc.)
0
531401
Electric heater
0
531402
Gas heater
0
531403
Oil heater
0
531404
Air conditioning (aarkand
0
531405
Chilled
0
531406
Electric fan
0
531407
Electric heater
0
531408
Gas fireplace
0
531409
Oil heater
0
531410
Other (heaters, air-condi
0
531501
Electric vacuum cleaner
0
531502
Non-electric vacuum clean
0
531503
Other cleaning equipment
0
531601
Private generator
0
531602
Electric sewing machine
0
531603
Non-electric sewing machi
0
531604
Electric sewing machine
0
531605
Non-electric sewing machi
0
531606
Electric machine embroide
0
531607
Embroidery machine, non-e
0
531608
A water filter
0
531609
Treasury home (qash)
0
531610
Home appliances other maj
0
532101
Electric mill
0
532102
Electric juicer
0
532103
Mixers
0
532104
Fryers
0
532105
Bbq meat
0
532106
Elbit
0
532107
Machine, electric meat
0
532108
Flesh of non-electric mac
0
532109
Non-electric mill
0
532110
Other (toaster .... etc.)
0
533101
Home appliance repair
0
533102
Rental home appliances
0
533103
Spare parts for household
0
540101
Kitchenware glass
0
540102
Kitchen is glass
0
540103
Repair, maintenance and r
0
551101
Machine cut iial
0
551102
Tools and equipment for h
0
552101
Hand tools and equipment
2581
552102
Ladders or stairs
246
552103
Curtain rails
816
552104
Light bulbs and florsnat
15395
552105
Massabh hand
6704
552106
Dry batteries
11135
552107
Alarms
181
552108
Knobs and locks
1129
552109
Other (small tools and ac
546
561101
Soap supply
649
561102
Soap commercial
23817
561103
Detergents and cleaning s
809
561104
Washing powders and clean
22884
561105
Washing and cleaning flui
19677
561106
Minor
13810
561107
Air freshener
5316
561108
Cleaning the glass
4644
561109
Materials against insects
2713
561111
Cleaning tools, brooms, s
8513
561112
Cleaning brushes
2031
561113
Dish towels
2216
561114
Floor cloth wipers
837
561115
Paper products (table lin
2115
561116
Other materials (matches,
7618
562101
Wages of a maid
37
562102
Chef wages
7
562103
Wages of driver
345
562104
Wages for farmers
76
562105
Nanny wages
9
562106
Guard wages
39
562201
Wash carpets and rugs
0
562202
Clean linens and home fur
0
562203
Rental of furniture and f
0
562204
Other services
0
611101
Chronic drugs
9765
611102
Chronic disease drugs is
15880
611103
Contraceptives
1012
611104
Other pharmaceutical prod
874
612101
Medical devices (termotr,
4622
613101
Glasses and contact lense
0
613102
Headphones
0
613103
Pressure device
0
613104
Wheelchairs
0
613105
Crutches
0
613106
Denominated ligaments of
0
613107
Device to measure sugar
0
613108
The value of dentures
0
613109
Artificial limbs
0
613110
Belts medical
0
613111
Repair and maintenance
0
613112
Others (therapeutic appli
0
621101
General practitioner
0
621102
Private doctor
0
621103
Orthodontics
0
622101
Dentist
0
622102
Cost of installing dentur
0
622103
Repair and maintenance
0
622104
Dental services other
0
623101
Wage analysis
0
623102
X-ray payments
0
623103
Nurse wages
0
623104
Fees are authorized midwi
0
623105
Physical therapy
0
623106
Rental of therapeutic equ
0
623107
Medicinal herbs
0
623108
Fees for ecg
0
623109
Fees for sonar
0
623110
Fees for mri
0
623111
Other medical services (n
0
623112
Ambulance services
0
623113
Therapeutic equipment hir
0
624101
Fees for kidney washing
0
624102
Chemotherapy
0
624103
Other therapeutic service
0
630101
Government hospital
0
630102
Private hospital
0
630103
Popular clinic
0
630104
Health center
0
630105
Costs of treatment outsid
0
630106
Other services for hospit
0
711101
Cars (year of manufacture
0
711102
Cars (year of make 2000 a
0
711103
Purchase of vehicles (car
0
711104
Buy boats
0
711105
Motorcycles
0
711106
Bicycles
0
711107
Animal-drawn vehicles
0
711108
Animals necessary to drag
0
711109
Other (purchase and trans
0
721101
Tires
0
721102
Liquid batteries
0
721103
Other backup tools
0
721104
Car accessories (brushes,
0
722104
Kerosene from the station
1186
722105
Kaz commercial
647
722106
Motor oil from the statio
400
722107
Commercial engine oils
3059
722108
Others (distilled water,
385
723101
Engineering (mechanical,
4522
723102
Wash and auto detailing
1281
724101
Annual car
0
724102
Driver license
0
724103
Car registration fees
0
724104
Paid parking
0
724105
Insurance expenses alsara
0
724106
Other expenses (fees for
0
731101
Passenger train
63
731103
Passenger transport by ai
43
731104
Transport of passengers b
339
731105
Passenger transport by ro
10644
732101
Wages hmalah
1749
732102
Wages luggage transfer of
13
732103
Commissions and travel ag
1
810101
Mail expenses (stamps, pa
39
820101
Landline
0
820102
Mobile phone
0
820103
Cordless phone
0
820104
Chandelier
0
820105
Fax
0
820106
Amplifiers for mobile
0
820107
Repair and maintenance
0
820108
Other (phone and fax equi
0
830101
Wages set the phone
25
830102
Wages land telephone line
283
830103
Wages for telephone calls
1255
830104
Card mobile phone
23135
830105
Chandelier card
50
830106
Telegraph services, telex
9
830107
Data transport services a
532
830108
Internet connectivity ser
451
830109
Expenses of the telecommu
10
830110
Phone and fax rental
0
830111
Telephone and fax service
36
911101
Tv size less than 26 knot
0
911102
Tv size 26 knots or more
0
911103
Registered
0
911104
Video
0
911105
Radio
0
911106
Radio recorder
0
911107
Loudspeakers
0
911108
Tv antennas
0
911109
Video game consoles (atar
0
911110
Satellite services
0
911111
Audio-visual equipment an
0
912101
Imaging camera alfotgrave
0
912102
Video camera
0
912103
Equipment and other devic
0
913101
Pc
0
913102
Printers and software for
0
913103
Instruments calculator
0
913104
Typewriter
0
913105
Other information process
0
914101
Videotapes
0
914102
Cassette tapes and cds
0
914103
Cds for pc
0
914104
Ordinary and color photog
0
914105
Other means of recording
0
915101
Repair and maintenance of
0
921101
Tents of the trips
0
921102
Buy a boat
0
921103
Horse, donkey, etc. .....
0
921104
Horse-drawn vehicles
0
921105
Others (saddles, bridle,
0
922101
Musical instruments (pian
0
922102
Tables (pool, tennis ...
0
922103
Maintenance and repair
0
931101
Card games, chess, table
0
931102
Play of all kinds (cars,
0
931103
Requirements collection o
0
931104
Software video games
0
931105
Other (collection of coin
0
932101
Rackets
0
932102
Football, tennis, table .
0
932103
Equipment bodybuilding an
0
932104
Fishing hooks
0
932105
Other equipment (firearms
0
932106
Repair and maintenance
0
933101
Natural plants
0
933102
Artificial plants
0
933103
Others (such as fertilize
0
934101
Buy pets
0
934102
Pet supplies
0
934103
Other materials
0
935101
Veterinarian
0
935102
Medicines for animals
0
935103
Veterinary services of th
0
941101
City games tickets
0
941102
Sports tickets
0
941103
The value of the particip
0
941104
Expenses of the fitness c
0
941105
Rental equipment and supp
0
941106
Training programs (swimmi
0
941107
Extension services touris
0
941108
Services, entertainment a
0
942101
The value of movie ticket
28
942102
Expenditure on museums an
15
942103
Works of art galleries an
1
942104
Expenses of visiting hist
96
942105
To lease videotapes and c
58
942106
Services photographers (p
2479
942107
Other cultural services
62
951101
Cultural books (atlas, di
0
951102
Textbooks
0
951103
Foreign textbooks
0
953101
Alkatolokut and advertisi
0
953102
Posters, greeting cards,
0
953103
Maps and models of the ea
0
953104
Other publications
0
954101
Books and pamphlets
8127
954102
Pens of all kinds
9839
954103
Sharpener and eraser
6700
954104
Carbon papers and tapes
166
954105
Alcabsat and pins and pin
360
954106
Scissors, paper
101
954107
Gum
597
954108
Paper clips
79
954109
Drawing materials, paint,
1717
954110
Other (rulers, engineerin
1924
960101
The value of the particip
0
960102
Tours in iraq (accommodat
0
960103
Hajj and umrah
0
960104
Other flights out of iraq
0
1010101
Expenses and tuition fees
0
1010102
Expenses of private lesso
0
1010103
Expenses and tuition fees
0
1010104
Expenses of private lesso
0
1010105
Expenses and tuition fees
0
1010106
Tutoring expenses for the
0
1010107
Other expenses
0
1020101
Expenses and tuition fees
0
1020102
Expenses of studies, dipl
0
1020103
Expenses tutorials
0
1020104
Other expenses
0
1030101
Vocational training and d
0
1030102
Language programs
0
1030103
Computer programs
0
1030104
Training programs and oth
0
1040101
Custody fees
51
1040102
Kindergarten fees
161
1040103
Nursery and kindergarten
54
1120101
Hotels
0
1120102
The role of tourism and r
0
1120103
Dormitories
0
1120104
Other services stay in ir
0
1120201
Living expenses out of ir
0
1211201
Barber men wages
21835
1211202
Women wages barber
5134
1211203
Wages bath
45
1211204
Wages sauna and massage
13
1211205
Other personal care
702
1212101
Electrical items (shaving
0
1212102
Repair and maintenance
0
1212103
Other (electrical applian
0
1213101
Non-electric machines (sh
16871
1213102
Personal hygiene items (s
17336
1213103
Cosmetics (lipstick, nail
14476
1213104
Other products (toilet pa
14846
1231101
Gold and jewelry accessor
0
1231102
Clocks
0
1231103
Watches women and men
0
1231104
Maintenance and repair of
0
1231105
Other (jewelry, clocks an
0
1232101
Women bag
0
1232102
Men bag and the governo
0
1232103
School bag
0
1232104
Suitcase
0
1232105
Goods for children (child
0
1232106
A variety of personal eff
0
1232107
Sunglasses men and women
0
1232108
Lighters
0
1232109
Umbrella
0
1232110
Key chain
0
1232111
Walking stick
0
1232112
Accessories is not gold
0
1232113
Repair and maintenance of
0
1232114
Other personal effects
0
1270101
Fees for legal services
0
1270102
Membership fees and subsc
0
1270103
Expenditure on weddings a
0
1270104
Expenditures on funerals
0
1270105
Spending on ads
0
1270106
Expenses extraction offic
0
1270107
Stockbrokers wages
0
1270108
Wages of lawyers
0
1270109
Photocopying expenses and
0
1270110
Expenditures on school sh
0
1270111
Costs of borrowing from b
0
1270112
Health insurance premiums
0
1270113
Accident insurance premiu
0
1270114
Life insurance premiums
0
1270115
Health insurance premiums
0
1270116
Property fees
0
1270117
Banking fees and commissi
0
1270118
Border exit fees
0
1270119
Court fees
0
1270120
Other (expenses on servic
0
Measurement unit
185451
228470
1
Meter
0
2
Number
61918
3
Pair
0
4
Kg
48159
5
Square meter
0
6
Bottle
24618
7
Liter
50756
8
N/a
0
11
.n
228470
Acquired...?
413921
0
1
Yes
413921
2
No
0
Quantity acquired ...?
162316
251605
0.05
3000
Amonut paid / imputed value
413918
3
0.25
7380
Main source
413904
17
1
Purchased
407918
2
Received as gift from other hholds
3112
3
Received as gift from outside the household sector
374
4
Payment for work
51
5
Self production
2209
6
Other source
240
Sysmiss
17
Questionnaire Identifier
490428
0
110100011
350728329
Stratum
490428
0
1101
3507
1101
5829
1102
5559
1103
6067
1104
5056
1105
6093
1106
5974
1107
5416
1201
3998
1203
3591
1204
3655
1205
2715
1206
3644
1208
3042
1209
2231
1301
5033
1302
5120
1303
5851
1304
5979
1305
5610
1306
5604
1307
4346
1308
3958
1309
6293
1310
5835
1311
5958
1312
5702
1313
6168
1314
5553
1315
6234
1316
5346
1401
5163
1402
4228
1403
3598
1404
5074
1501
4323
1502
4968
1503
4217
1504
4493
1505
4793
1506
4055
1508
3783
1509
4019
1510
4318
1511
4404
2101
2997
2102
3798
2103
3178
2104
3079
2105
3326
2106
3083
2201
4541
2202
4163
2203
4453
2204
4357
2205
4422
2206
4599
2207
5362
2208
4898
2301
2913
2302
3372
2303
3445
2304
2930
2305
3365
2306
3064
2307
2651
2308
3208
2309
2932
2310
2799
2401
4558
2402
4620
2403
4191
2405
4365
2501
3838
2502
3522
2503
3896
2601
2998
2602
5553
2603
5286
2604
3123
2605
5582
2606
5529
2701
3310
2702
4119
2703
3566
2704
4311
2705
3225
2706
3504
2707
3972
2708
4413
2801
5164
2802
5198
2803
4253
3101
3637
3102
3603
3104
2873
3105
2823
3201
2971
3202
4483
3203
2471
3204
4391
3301
3616
3302
3034
3303
3037
3304
3157
3305
3043
3401
3067
3402
5176
3403
3276
3404
2693
3405
3109
3406
2683
3501
3377
3502
3431
3503
4416
3504
3823
3505
3063
3506
3845
3507
3403
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
490428
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
490428
0
0
5739.253
Weight for the analysis of time-use data
490428
0
0
7858.94
Weight for the analysis of food consumption by recall
490428
0
14.039
6903.901
q6: Governorate
490428
0
0
Test
0
11
Duhok
35886
12
Nainawa
31388
13
Sulaimaniya
88590
14
Kirkuk
18063
15
Erbil
38969
21
Diyala
19461
22
Anbar
36795
23
Baghdad
30679
24
Babylon
17734
25
Kerbela
11256
26
Wasit
28071
27
Salah al-deen
30420
28
Najaf
14615
31
Qadisiya
12936
32
Muthanna
14316
33
Thi-qar
15887
34
Maysan
20004
35
Basrah
25358
q7: Qadha
490428
0
0
Test
0
1
01
71333
2
02
71708
3
03
68792
4
04
58994
5
05
53665
6
06
45584
7
07
27019
8
08
23302
9
09
15475
10
10
12952
11
11
10362
12
12
7941
13
13
6168
14
14
5553
15
15
6234
16
16
5346
cluster: Cluster serial
490428
0
1
2832
hh: Household Number
490428
0
1
56660
2
55819
3
55003
4
55757
5
56535
6
54171
7
52275
8
51992
9
52216
q27: Size of the Household
490428
0
1
42
Coicop code
490428
0
128
Cash dowry - goods for a
0
151
The cost of purchasing a
0
152
Expenses for building or
0
153
The cost of purchasing a
0
154
Housing projects premiums
0
155
Premiums to extend sewer
0
156
Buy gold bars, jewelry an
0
157
Purchase of foreign curre
0
158
Purchase of shares and bo
0
159
Other capital expenditure
0
161
Gifts in kind
0
162
Cash gifts
0
163
Donations and alms and za
0
164
After marriage dowry and
0
165
Offenses (traffic, etc. .
0
166
Other transfers within ir
0
167
Other transfers out of ir
0
168
Religious vows and expens
0
169
Tribal fund subscription
0
170
Tribal payment subscripti
0
171
Other transfer expenses
0
172
Total page
0
4190
Total page
0
4330
Total page
0
4490
Total page
0
4690
Total page
0
4790
Total page
0
4960
Total page
0
5140
Total page
0
5180
Total page
0
5670
Total page
0
5850
Total page
0
6030
Total page
0
6170
Total page
0
6340
Total page
0
6490
Total page
0
6670
Total page
0
6860
Total page
0
7000
Total page
0
7130
Total page
0
7760
Total page
0
7880
Total page
0
8070
Total page
0
8290
Total page
0
8480
Total page
0
8680
Total page
0
8840
Total page
0
9010
Total page
0
9170
Total page
0
9320
Total page
0
9450
Total page
0
9580
Total page
0
9730
Total page
0
311101
Men woolen fabrics
281
311102
Women woolen fabrics
492
311103
Woolen fabrics for childr
73
311104
Men cotton fabrics
569
311105
Women cotton fabrics
1851
311106
Cotton fabrics for childr
176
311107
Men silk fabrics
370
311108
Women silk fabrics
1599
311109
Silk fabrics for children
118
311110
Men synthetic fabric
3281
311111
Women synthetic fabrics
9608
311112
Synthetic fabrics for chi
1123
311113
Payment for sewing men
4128
311114
Payment for sewing women
11546
311115
Payment for clothes child
1181
311116
Other clothing articles
348
312101
Coats
745
312102
Jackets
1855
312103
Pants
13401
312104
Coats
3527
312105
Shirts
11146
312106
Underwear
13918
312107
Suits
3374
312108
Dishdasha
7729
312109
Wool cloak
559
312110
Pajamas
4549
312111
Eshmag
2255
312112
Headband
739
312113
Arakjan
556
312114
Juarib
15138
312115
Sportswear
3836
312116
Sweater
2856
312117
T-shirt
4072
312118
Men other garments
1418
312201
Coats
713
312202
Jackets
1511
312203
Pants
2808
312204
Coats
995
312205
Shirts
2256
312206
Underwear
11835
312207
Suits
3124
312208
Dishdasha
12726
312209
Mantle
4922
312210
Pajamas
3158
312211
Skirt
3021
312212
Gergd
811
312213
Foutah
5787
312214
Shawls, tie
9800
312215
Juarib
11438
312216
Sportswear
728
312217
Sweatshirts
2049
312218
T-shirt
1527
312219
Other women ready made
2316
312301
Coats
521
312302
Jackets
1020
312303
Pants
10138
312304
Coats
2784
312305
Shirts
5640
312306
Underwear
7408
312307
Suits
7460
312308
Dishdasha
1915
312309
Sportswear
4283
312310
Pajamas
4596
312311
Skirt
1374
312312
Sweatshirts
4206
312313
Juarib
8680
312314
Other children clothing
4148
313101
Tie
756
313102
Hnad kerchiefs
1128
313103
Gloves of all kinds
1531
313104
Belts
6923
313105
Carriers of pants
80
313106
Caps
973
313107
Sewing thread and knittin
2629
313108
Buckles
357
313109
Buttons
347
313110
Other
188
314101
Wages repair clothing
1474
314102
Payments for sewing cloth
157
314103
Ironing clothes
914
314104
Washing clothes
155
314105
Clothing dye
2
314106
Mending clothing
26
314107
Rental of clothing
22
314108
Other fees (laundry, repa
23
321101
Leather shoes
12679
321102
Non leather shoes
5156
321103
Slippers
13257
321104
Sports shoes
2026
321105
Other (clog slippers .. e
8547
321201
Leather shoes
6354
321202
Non leather shoes
3802
321203
Slippers
14622
321204
Sports shoes
476
321205
Other (clog slippers .. e
10973
321301
Leather shoes
7485
321302
Non leather shoes
5897
321303
Slippers
4838
321304
Sports shoes
2999
321305
Other (clog slippers .. e
7253
321401
Article fat and pigments
0
321402
Material maintenance shoe
0
321403
Other (kietin .... etc.)
0
322401
Wages dye and repair
0
322402
Other (rental shoes ....
0
431101
Restoration, repair and m
0
431102
Home decorating
0
431103
Dye house
0
432101
Acts of housing maintenan
0
442101
Wages for garbage collect
0
444101
Other services (guarding,
0
452101
Liquid from the gas stati
0
452102
Liquid gas trading
0
452103
Liquid gas by pipeline
0
452204
Kerosene from the station
0
452205
Kaz commercial
0
452206
Engine oils
0
453101
Kerosene from the station
0
453102
White oil trading
0
454101
Coal
0
454102
Wood
0
454103
Amplitude
0
454104
Other (remains of plants,
0
511101
Bedroom
0
511102
Reception room
0
511103
Dining table with chairs
0
511104
Buffet food
0
511105
Living room
0
511106
Bed of all kinds
0
511107
Chair
0
511108
Table
0
511109
Wardrobe
0
511110
Library
0
511111
Kitchen counters
0
511112
Tepel lamb
0
511113
Pictures and paintings
0
511114
Antiques, statues
0
511115
Ready curtains of all kin
0
511116
Chandeliers
0
511117
Mirror
0
511118
Vases
0
511119
Other (furniture, equipme
0
512101
Rugs
0
512102
Carpet
0
512103
Floor mats
0
512104
Extension
0
512105
Wages repair
0
512106
Other (rugs, blankets the
0
521101
Sheets and mattresses
3495
521102
Blankets and back
5865
521103
Ready pillows
1432
521104
Duck and quilts
2744
521105
Towels and towels
4399
521106
Sheets for tables
201
521107
Table linens
81
521108
Wool
471
521109
Cotton
222
521110
Feathering
12
521111
Foam
466
521112
Wages ndavh
405
521113
Fabrics for furniture
1082
521114
Wages of sewing furniture
348
521115
Textiles and other furnis
62
521116
Wages for repair
256
531101
Fridge
0
531102
Frozen
0
531103
Water cooler
0
531104
Other (refrigerators and
0
531201
Electric washing machine
0
531202
Electric clothes dryer
0
531203
Dishwasher, electric
0
531204
Electric iron
0
531205
Other (washing machines a
0
531301
Gas cooker
0
531302
Electric cooker
0
531303
Cook oil
0
531304
Electric oven
0
531305
Electric grill
0
531306
Gas grill
0
531307
Premz
0
531308
Oven gas
0
531309
Other (round .... etc.)
0
531401
Electric heater
0
531402
Gas heater
0
531403
Oil heater
0
531404
Air conditioning (aarkand
0
531405
Chilled
0
531406
Electric fan
0
531407
Electric heater
0
531408
Gas fireplace
0
531409
Oil heater
0
531410
Other (heaters, air-condi
0
531501
Electric vacuum cleaner
0
531502
Non-electric vacuum clean
0
531503
Other cleaning equipment
0
531601
Private generator
0
531602
Electric sewing machine
0
531603
Non-electric sewing machi
0
531604
Electric sewing machine
0
531605
Non-electric sewing machi
0
531606
Electric machine embroide
0
531607
Embroidery machine, non-e
0
531608
A water filter
0
531609
Treasury home (qash)
0
531610
Home appliances other maj
0
532101
Electric mill
0
532102
Electric juicer
0
532103
Mixers
0
532104
Fryers
0
532105
Bbq meat
0
532106
Elbit
0
532107
Machine, electric meat
0
532108
Flesh of non-electric mac
0
532109
Non-electric mill
0
532110
Other (toaster .... etc.)
0
533101
Home appliance repair
0
533102
Rental home appliances
0
533103
Spare parts for household
0
540101
Kitchenware glass
0
540102
Kitchen is glass
0
540103
Repair, maintenance and r
0
551101
Machine cut iial
0
551102
Tools and equipment for h
0
552101
Hand tools and equipment
0
552102
Ladders or stairs
0
552103
Curtain rails
0
552104
Light bulbs and florsnat
0
552105
Massabh hand
0
552106
Dry batteries
0
552107
Alarms
0
552108
Knobs and locks
0
552109
Other (small tools and ac
0
561101
Soap supply
0
561102
Soap commercial
0
561103
Detergents and cleaning s
0
561104
Washing powders and clean
0
561105
Washing and cleaning flui
0
561106
Minor
0
561107
Air freshener
0
561108
Cleaning the glass
0
561109
Materials against insects
0
561111
Cleaning tools, brooms, s
0
561112
Cleaning brushes
0
561113
Dish towels
0
561114
Floor cloth wipers
0
561115
Paper products (table lin
0
561116
Other materials (matches,
0
562101
Wages of a maid
0
562102
Chef wages
0
562103
Wages of driver
0
562104
Wages for farmers
0
562105
Nanny wages
0
562106
Guard wages
0
562201
Wash carpets and rugs
167
562202
Clean linens and home fur
7
562203
Rental of furniture and f
5
562204
Other services
36
611101
Chronic drugs
0
611102
Chronic disease drugs is
0
611103
Contraceptives
0
611104
Other pharmaceutical prod
0
612101
Medical devices (termotr,
0
613101
Glasses and contact lense
0
613102
Headphones
0
613103
Pressure device
0
613104
Wheelchairs
0
613105
Crutches
0
613106
Denominated ligaments of
0
613107
Device to measure sugar
0
613108
The value of dentures
0
613109
Artificial limbs
0
613110
Belts medical
0
613111
Repair and maintenance
0
613112
Others (therapeutic appli
0
621101
General practitioner
4462
621102
Private doctor
15185
621103
Orthodontics
292
622101
Dentist
2652
622102
Cost of installing dentur
238
622103
Repair and maintenance
921
622104
Dental services other
457
623101
Wage analysis
10355
623102
X-ray payments
3625
623103
Nurse wages
357
623104
Fees are authorized midwi
92
623105
Physical therapy
181
623106
Rental of therapeutic equ
16
623107
Medicinal herbs
456
623108
Fees for ecg
1280
623109
Fees for sonar
6337
623110
Fees for mri
585
623111
Other medical services (n
3792
623112
Ambulance services
25
623113
Therapeutic equipment hir
37
624101
Fees for kidney washing
32
624102
Chemotherapy
39
624103
Other therapeutic service
94
630101
Government hospital
6610
630102
Private hospital
684
630103
Popular clinic
1335
630104
Health center
3095
630105
Costs of treatment outsid
77
630106
Other services for hospit
51
711101
Cars (year of manufacture
0
711102
Cars (year of make 2000 a
0
711103
Purchase of vehicles (car
0
711104
Buy boats
0
711105
Motorcycles
0
711106
Bicycles
0
711107
Animal-drawn vehicles
0
711108
Animals necessary to drag
0
711109
Other (purchase and trans
0
721101
Tires
0
721102
Liquid batteries
0
721103
Other backup tools
0
721104
Car accessories (brushes,
0
722104
Kerosene from the station
0
722105
Kaz commercial
0
722106
Motor oil from the statio
0
722107
Commercial engine oils
0
722108
Others (distilled water,
0
723101
Engineering (mechanical,
0
723102
Wash and auto detailing
0
724101
Annual car
0
724102
Driver license
0
724103
Car registration fees
0
724104
Paid parking
0
724105
Insurance expenses alsara
0
724106
Other expenses (fees for
0
731101
Passenger train
0
731103
Passenger transport by ai
0
731104
Transport of passengers b
0
731105
Passenger transport by ro
0
732101
Wages hmalah
0
732102
Wages luggage transfer of
0
732103
Commissions and travel ag
0
810101
Mail expenses (stamps, pa
0
820101
Landline
0
820102
Mobile phone
0
820103
Cordless phone
0
820104
Chandelier
0
820105
Fax
0
820106
Amplifiers for mobile
0
820107
Repair and maintenance
0
820108
Other (phone and fax equi
0
830101
Wages set the phone
0
830102
Wages land telephone line
0
830103
Wages for telephone calls
0
830104
Card mobile phone
0
830105
Chandelier card
0
830106
Telegraph services, telex
0
830107
Data transport services a
0
830108
Internet connectivity ser
0
830109
Expenses of the telecommu
0
830110
Phone and fax rental
0
830111
Telephone and fax service
0
911101
Tv size less than 26 knot
0
911102
Tv size 26 knots or more
0
911103
Registered
0
911104
Video
0
911105
Radio
0
911106
Radio recorder
0
911107
Loudspeakers
0
911108
Tv antennas
0
911109
Video game consoles (atar
0
911110
Satellite services
0
911111
Audio-visual equipment an
0
912101
Imaging camera alfotgrave
0
912102
Video camera
0
912103
Equipment and other devic
0
913101
Pc
0
913102
Printers and software for
0
913103
Instruments calculator
0
913104
Typewriter
0
913105
Other information process
0
914101
Videotapes
265
914102
Cassette tapes and cds
1503
914103
Cds for pc
388
914104
Ordinary and color photog
108
914105
Other means of recording
109
915101
Repair and maintenance of
0
921101
Tents of the trips
0
921102
Buy a boat
0
921103
Horse, donkey, etc. .....
0
921104
Horse-drawn vehicles
0
921105
Others (saddles, bridle,
0
922101
Musical instruments (pian
0
922102
Tables (pool, tennis ...
0
922103
Maintenance and repair
0
931101
Card games, chess, table
0
931102
Play of all kinds (cars,
0
931103
Requirements collection o
0
931104
Software video games
0
931105
Other (collection of coin
0
932101
Rackets
0
932102
Football, tennis, table .
0
932103
Equipment bodybuilding an
0
932104
Fishing hooks
0
932105
Other equipment (firearms
0
932106
Repair and maintenance
0
933101
Natural plants
869
933102
Artificial plants
742
933103
Others (such as fertilize
284
934101
Buy pets
0
934102
Pet supplies
0
934103
Other materials
0
935101
Veterinarian
0
935102
Medicines for animals
0
935103
Veterinary services of th
0
941101
City games tickets
1318
941102
Sports tickets
318
941103
The value of the particip
126
941104
Expenses of the fitness c
73
941105
Rental equipment and supp
5
941106
Training programs (swimmi
39
941107
Extension services touris
19
941108
Services, entertainment a
59
942101
The value of movie ticket
0
942102
Expenditure on museums an
0
942103
Works of art galleries an
0
942104
Expenses of visiting hist
0
942105
To lease videotapes and c
0
942106
Services photographers (p
0
942107
Other cultural services
0
951101
Cultural books (atlas, di
0
951102
Textbooks
0
951103
Foreign textbooks
0
953101
Alkatolokut and advertisi
0
953102
Posters, greeting cards,
0
953103
Maps and models of the ea
0
953104
Other publications
0
954101
Books and pamphlets
0
954102
Pens of all kinds
0
954103
Sharpener and eraser
0
954104
Carbon papers and tapes
0
954105
Alcabsat and pins and pin
0
954106
Scissors, paper
0
954107
Gum
0
954108
Paper clips
0
954109
Drawing materials, paint,
0
954110
Other (rulers, engineerin
0
960101
The value of the particip
0
960102
Tours in iraq (accommodat
0
960103
Hajj and umrah
0
960104
Other flights out of iraq
0
1010101
Expenses and tuition fees
0
1010102
Expenses of private lesso
0
1010103
Expenses and tuition fees
0
1010104
Expenses of private lesso
0
1010105
Expenses and tuition fees
0
1010106
Tutoring expenses for the
0
1010107
Other expenses
0
1020101
Expenses and tuition fees
0
1020102
Expenses of studies, dipl
0
1020103
Expenses tutorials
0
1020104
Other expenses
0
1030101
Vocational training and d
0
1030102
Language programs
0
1030103
Computer programs
0
1030104
Training programs and oth
0
1040101
Custody fees
0
1040102
Kindergarten fees
0
1040103
Nursery and kindergarten
0
1120101
Hotels
406
1120102
The role of tourism and r
148
1120103
Dormitories
73
1120104
Other services stay in ir
98
1120201
Living expenses out of ir
196
1211201
Barber men wages
0
1211202
Women wages barber
0
1211203
Wages bath
0
1211204
Wages sauna and massage
0
1211205
Other personal care
0
1212101
Electrical items (shaving
0
1212102
Repair and maintenance
0
1212103
Other (electrical applian
0
1213101
Non-electric machines (sh
0
1213102
Personal hygiene items (s
0
1213103
Cosmetics (lipstick, nail
0
1213104
Other products (toilet pa
0
1231101
Gold and jewelry accessor
0
1231102
Clocks
0
1231103
Watches women and men
0
1231104
Maintenance and repair of
0
1231105
Other (jewelry, clocks an
0
1232101
Women bag
0
1232102
Men bag and the governo
0
1232103
School bag
0
1232104
Suitcase
0
1232105
Goods for children (child
0
1232106
A variety of personal eff
0
1232107
Sunglasses men and women
0
1232108
Lighters
0
1232109
Umbrella
0
1232110
Key chain
0
1232111
Walking stick
0
1232112
Accessories is not gold
0
1232113
Repair and maintenance of
0
1232114
Other personal effects
0
1270101
Fees for legal services
0
1270102
Membership fees and subsc
0
1270103
Expenditure on weddings a
0
1270104
Expenditures on funerals
0
1270105
Spending on ads
0
1270106
Expenses extraction offic
0
1270107
Stockbrokers wages
0
1270108
Wages of lawyers
0
1270109
Photocopying expenses and
0
1270110
Expenditures on school sh
0
1270111
Costs of borrowing from b
0
1270112
Health insurance premiums
0
1270113
Accident insurance premiu
0
1270114
Life insurance premiums
0
1270115
Health insurance premiums
0
1270116
Property fees
0
1270117
Banking fees and commissi
0
1270118
Border exit fees
0
1270119
Court fees
0
1270120
Other (expenses on servic
0
Measurement unit
390989
99439
1
Meter
21089
2
Number
226044
3
Pair
143151
4
Kg
705
5
Square meter
0
6
Bottle
0
7
Liter
0
8
N/a
0
11
.n
99439
Acquired...?
490428
0
1
Yes
490428
2
No
0
Quantity acquired ...?
389548
100880
0
300
Amonut paid / imputed value
490426
2
0
54000
Main source
490408
20
1
Purchased
479204
2
Received as gift from other hholds
9473
3
Received as gift from outside the household sector
559
4
Payment for work
37
5
Self production
981
6
Other source
154
Sysmiss
20
Questionnaire Identifier
387362
0
110100011
350728329
Stratum
387362
0
1101
3507
1101
4868
1102
4832
1103
4968
1104
4170
1105
4823
1106
6157
1107
5391
1201
3239
1203
2819
1204
2586
1205
1457
1206
2329
1208
1965
1209
1058
1301
4333
1302
4427
1303
5039
1304
4799
1305
5041
1306
4709
1307
4430
1308
4332
1309
5627
1310
5319
1311
5257
1312
4961
1313
5678
1314
5243
1315
5054
1316
4494
1401
4138
1402
2657
1403
2366
1404
3840
1501
3330
1502
3821
1503
3051
1504
3791
1505
2205
1506
3519
1508
2841
1509
3208
1510
2040
1511
3230
2101
1889
2102
3424
2103
1951
2104
2221
2105
2999
2106
2230
2201
2762
2202
3411
2203
2607
2204
3253
2205
3441
2206
3630
2207
3085
2208
3228
2301
1805
2302
3000
2303
3130
2304
2044
2305
2491
2306
2601
2307
1897
2308
2402
2309
2551
2310
1885
2401
3383
2402
3740
2403
2884
2405
2715
2501
3499
2502
2992
2503
3173
2601
1895
2602
4773
2603
4570
2604
2023
2605
4391
2606
4536
2701
2940
2702
3356
2703
2480
2704
3486
2705
3196
2706
2377
2707
3503
2708
3251
2801
4981
2802
4890
2803
3611
3101
2496
3102
2596
3104
2177
3105
1937
3201
1809
3202
3658
3203
1573
3204
3556
3301
2209
3302
2380
3303
1783
3304
1753
3305
2596
3401
1774
3402
4087
3403
2074
3404
1498
3405
2090
3406
1426
3501
3237
3502
3380
3503
4568
3504
2972
3505
3350
3506
3644
3507
2715
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
387362
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
387362
0
0
5739.253
Weight for the analysis of time-use data
387362
0
0
7858.94
Weight for the analysis of food consumption by recall
387362
0
14.039
6903.901
q6: Governorate
387362
0
0
Test
0
11
Duhok
31860
12
Nainawa
22032
13
Sulaimaniya
78743
14
Kirkuk
13001
15
Erbil
27806
21
Diyala
14714
22
Anbar
25417
23
Baghdad
23806
24
Babylon
12722
25
Kerbela
9664
26
Wasit
22188
27
Salah al-deen
24589
28
Najaf
13482
31
Qadisiya
9206
32
Muthanna
10596
33
Thi-qar
10721
34
Maysan
12949
35
Basrah
23866
q7: Qadha
387362
0
0
Test
0
1
01
54587
2
02
59527
3
03
52647
4
04
44169
5
05
41280
6
06
37158
7
07
22473
8
08
18019
9
09
12444
10
10
9244
11
11
8487
12
12
6858
13
13
5678
14
14
5243
15
15
5054
16
16
4494
cluster: Cluster serial
387362
0
1
2832
hh: Household Number
387362
0
1
43190
2
42507
3
41659
4
44346
5
45048
6
43459
7
42379
8
42358
9
42416
q27: Size of the Household
387362
0
1
42
Coicop code
387362
0
128
Cash dowry - goods for a
839
151
The cost of purchasing a
314
152
Expenses for building or
1651
153
The cost of purchasing a
492
154
Housing projects premiums
127
155
Premiums to extend sewer
28
156
Buy gold bars, jewelry an
52
157
Purchase of foreign curre
32
158
Purchase of shares and bo
11
159
Other capital expenditure
45
161
Gifts in kind
16302
162
Cash gifts
14535
163
Donations and alms and za
9812
164
After marriage dowry and
289
165
Offenses (traffic, etc. .
334
166
Other transfers within ir
61
167
Other transfers out of ir
66
168
Religious vows and expens
8984
169
Tribal fund subscription
5184
170
Tribal payment subscripti
3347
171
Other transfer expenses
149
172
Total page
0
4190
Total page
0
4330
Total page
0
4490
Total page
0
4690
Total page
0
4790
Total page
0
4960
Total page
0
5140
Total page
0
5180
Total page
0
5670
Total page
0
5850
Total page
0
6030
Total page
0
6170
Total page
0
6340
Total page
0
6490
Total page
0
6670
Total page
0
6860
Total page
0
7000
Total page
0
7130
Total page
0
7760
Total page
0
7880
Total page
0
8070
Total page
0
8290
Total page
0
8480
Total page
0
8680
Total page
0
8840
Total page
0
9010
Total page
0
9170
Total page
0
9320
Total page
0
9450
Total page
0
9580
Total page
0
9730
Total page
0
311101
Men woolen fabrics
0
311102
Women woolen fabrics
0
311103
Woolen fabrics for childr
0
311104
Men cotton fabrics
0
311105
Women cotton fabrics
0
311106
Cotton fabrics for childr
0
311107
Men silk fabrics
0
311108
Women silk fabrics
0
311109
Silk fabrics for children
0
311110
Men synthetic fabric
0
311111
Women synthetic fabrics
0
311112
Synthetic fabrics for chi
0
311113
Payment for sewing men
0
311114
Payment for sewing women
0
311115
Payment for clothes child
0
311116
Other clothing articles
0
312101
Coats
0
312102
Jackets
0
312103
Pants
0
312104
Coats
0
312105
Shirts
0
312106
Underwear
0
312107
Suits
0
312108
Dishdasha
0
312109
Wool cloak
0
312110
Pajamas
0
312111
Eshmag
0
312112
Headband
0
312113
Arakjan
0
312114
Juarib
0
312115
Sportswear
0
312116
Sweater
0
312117
T-shirt
0
312118
Men other garments
0
312201
Coats
0
312202
Jackets
0
312203
Pants
0
312204
Coats
0
312205
Shirts
0
312206
Underwear
0
312207
Suits
0
312208
Dishdasha
0
312209
Mantle
0
312210
Pajamas
0
312211
Skirt
0
312212
Gergd
0
312213
Foutah
0
312214
Shawls, tie
0
312215
Juarib
0
312216
Sportswear
0
312217
Sweatshirts
0
312218
T-shirt
0
312219
Other women ready made
0
312301
Coats
0
312302
Jackets
0
312303
Pants
0
312304
Coats
0
312305
Shirts
0
312306
Underwear
0
312307
Suits
0
312308
Dishdasha
0
312309
Sportswear
0
312310
Pajamas
0
312311
Skirt
0
312312
Sweatshirts
0
312313
Juarib
0
312314
Other children clothing
0
313101
Tie
0
313102
Hnad kerchiefs
0
313103
Gloves of all kinds
0
313104
Belts
0
313105
Carriers of pants
0
313106
Caps
0
313107
Sewing thread and knittin
0
313108
Buckles
0
313109
Buttons
0
313110
Other
0
314101
Wages repair clothing
0
314102
Payments for sewing cloth
0
314103
Ironing clothes
0
314104
Washing clothes
0
314105
Clothing dye
0
314106
Mending clothing
0
314107
Rental of clothing
0
314108
Other fees (laundry, repa
0
321101
Leather shoes
0
321102
Non leather shoes
0
321103
Slippers
0
321104
Sports shoes
0
321105
Other (clog slippers .. e
0
321201
Leather shoes
0
321202
Non leather shoes
0
321203
Slippers
0
321204
Sports shoes
0
321205
Other (clog slippers .. e
0
321301
Leather shoes
0
321302
Non leather shoes
0
321303
Slippers
0
321304
Sports shoes
0
321305
Other (clog slippers .. e
0
321401
Article fat and pigments
0
321402
Material maintenance shoe
0
321403
Other (kietin .... etc.)
0
322401
Wages dye and repair
0
322402
Other (rental shoes ....
0
431101
Restoration, repair and m
5435
431102
Home decorating
889
431103
Dye house
4251
432101
Acts of housing maintenan
1288
442101
Wages for garbage collect
0
444101
Other services (guarding,
0
452101
Liquid from the gas stati
0
452102
Liquid gas trading
0
452103
Liquid gas by pipeline
0
452204
Kerosene from the station
0
452205
Kaz commercial
0
452206
Engine oils
0
453101
Kerosene from the station
0
453102
White oil trading
0
454101
Coal
0
454102
Wood
0
454103
Amplitude
0
454104
Other (remains of plants,
0
511101
Bedroom
1553
511102
Reception room
931
511103
Dining table with chairs
246
511104
Buffet food
255
511105
Living room
232
511106
Bed of all kinds
498
511107
Chair
1787
511108
Table
1120
511109
Wardrobe
820
511110
Library
328
511111
Kitchen counters
2563
511112
Tepel lamb
190
511113
Pictures and paintings
1341
511114
Antiques, statues
383
511115
Ready curtains of all kin
3675
511116
Chandeliers
518
511117
Mirror
3733
511118
Vases
1464
511119
Other (furniture, equipme
1286
512101
Rugs
5426
512102
Carpet
2399
512103
Floor mats
4548
512104
Extension
1512
512105
Wages repair
165
512106
Other (rugs, blankets the
762
521101
Sheets and mattresses
0
521102
Blankets and back
0
521103
Ready pillows
0
521104
Duck and quilts
0
521105
Towels and towels
0
521106
Sheets for tables
0
521107
Table linens
0
521108
Wool
0
521109
Cotton
0
521110
Feathering
0
521111
Foam
0
521112
Wages ndavh
0
521113
Fabrics for furniture
0
521114
Wages of sewing furniture
0
521115
Textiles and other furnis
0
521116
Wages for repair
0
531101
Fridge
3669
531102
Frozen
2560
531103
Water cooler
759
531104
Other (refrigerators and
40
531201
Electric washing machine
3564
531202
Electric clothes dryer
37
531203
Dishwasher, electric
43
531204
Electric iron
2917
531205
Other (washing machines a
126
531301
Gas cooker
3885
531302
Electric cooker
79
531303
Cook oil
147
531304
Electric oven
1012
531305
Electric grill
100
531306
Gas grill
150
531307
Premz
420
531308
Oven gas
1277
531309
Other (round .... etc.)
806
531401
Electric heater
2517
531402
Gas heater
134
531403
Oil heater
944
531404
Air conditioning (aarkand
2352
531405
Chilled
5436
531406
Electric fan
3762
531407
Electric heater
1453
531408
Gas fireplace
148
531409
Oil heater
2381
531410
Other (heaters, air-condi
474
531501
Electric vacuum cleaner
2468
531502
Non-electric vacuum clean
2950
531503
Other cleaning equipment
336
531601
Private generator
1177
531602
Electric sewing machine
675
531603
Non-electric sewing machi
62
531604
Electric sewing machine
26
531605
Non-electric sewing machi
5
531606
Electric machine embroide
52
531607
Embroidery machine, non-e
2
531608
A water filter
365
531609
Treasury home (qash)
26
531610
Home appliances other maj
265
532101
Electric mill
192
532102
Electric juicer
973
532103
Mixers
1428
532104
Fryers
1231
532105
Bbq meat
206
532106
Elbit
317
532107
Machine, electric meat
372
532108
Flesh of non-electric mac
90
532109
Non-electric mill
42
532110
Other (toaster .... etc.)
239
533101
Home appliance repair
7682
533102
Rental home appliances
44
533103
Spare parts for household
558
540101
Kitchenware glass
16417
540102
Kitchen is glass
13840
540103
Repair, maintenance and r
180
551101
Machine cut iial
61
551102
Tools and equipment for h
82
552101
Hand tools and equipment
0
552102
Ladders or stairs
0
552103
Curtain rails
0
552104
Light bulbs and florsnat
0
552105
Massabh hand
0
552106
Dry batteries
0
552107
Alarms
0
552108
Knobs and locks
0
552109
Other (small tools and ac
0
561101
Soap supply
0
561102
Soap commercial
0
561103
Detergents and cleaning s
0
561104
Washing powders and clean
0
561105
Washing and cleaning flui
0
561106
Minor
0
561107
Air freshener
0
561108
Cleaning the glass
0
561109
Materials against insects
0
561111
Cleaning tools, brooms, s
0
561112
Cleaning brushes
0
561113
Dish towels
0
561114
Floor cloth wipers
0
561115
Paper products (table lin
0
561116
Other materials (matches,
0
562101
Wages of a maid
0
562102
Chef wages
0
562103
Wages of driver
0
562104
Wages for farmers
0
562105
Nanny wages
0
562106
Guard wages
0
562201
Wash carpets and rugs
0
562202
Clean linens and home fur
0
562203
Rental of furniture and f
0
562204
Other services
0
611101
Chronic drugs
0
611102
Chronic disease drugs is
0
611103
Contraceptives
0
611104
Other pharmaceutical prod
0
612101
Medical devices (termotr,
0
613101
Glasses and contact lense
1483
613102
Headphones
67
613103
Pressure device
415
613104
Wheelchairs
79
613105
Crutches
133
613106
Denominated ligaments of
159
613107
Device to measure sugar
266
613108
The value of dentures
50
613109
Artificial limbs
14
613110
Belts medical
455
613111
Repair and maintenance
10
613112
Others (therapeutic appli
128
621101
General practitioner
0
621102
Private doctor
0
621103
Orthodontics
0
622101
Dentist
0
622102
Cost of installing dentur
0
622103
Repair and maintenance
0
622104
Dental services other
0
623101
Wage analysis
0
623102
X-ray payments
0
623103
Nurse wages
0
623104
Fees are authorized midwi
0
623105
Physical therapy
0
623106
Rental of therapeutic equ
0
623107
Medicinal herbs
0
623108
Fees for ecg
0
623109
Fees for sonar
0
623110
Fees for mri
0
623111
Other medical services (n
0
623112
Ambulance services
0
623113
Therapeutic equipment hir
0
624101
Fees for kidney washing
0
624102
Chemotherapy
0
624103
Other therapeutic service
0
630101
Government hospital
0
630102
Private hospital
0
630103
Popular clinic
0
630104
Health center
0
630105
Costs of treatment outsid
0
630106
Other services for hospit
0
711101
Cars (year of manufacture
1202
711102
Cars (year of make 2000 a
2352
711103
Purchase of vehicles (car
39
711104
Buy boats
15
711105
Motorcycles
734
711106
Bicycles
2060
711107
Animal-drawn vehicles
16
711108
Animals necessary to drag
4
711109
Other (purchase and trans
51
721101
Tires
2961
721102
Liquid batteries
1886
721103
Other backup tools
785
721104
Car accessories (brushes,
1000
722104
Kerosene from the station
0
722105
Kaz commercial
0
722106
Motor oil from the statio
0
722107
Commercial engine oils
0
722108
Others (distilled water,
0
723101
Engineering (mechanical,
0
723102
Wash and auto detailing
0
724101
Annual car
590
724102
Driver license
735
724103
Car registration fees
423
724104
Paid parking
890
724105
Insurance expenses alsara
199
724106
Other expenses (fees for
172
731101
Passenger train
0
731103
Passenger transport by ai
0
731104
Transport of passengers b
0
731105
Passenger transport by ro
0
732101
Wages hmalah
0
732102
Wages luggage transfer of
0
732103
Commissions and travel ag
0
810101
Mail expenses (stamps, pa
0
820101
Landline
197
820102
Mobile phone
14426
820103
Cordless phone
147
820104
Chandelier
5
820105
Fax
0
820106
Amplifiers for mobile
38
820107
Repair and maintenance
391
820108
Other (phone and fax equi
138
830101
Wages set the phone
0
830102
Wages land telephone line
0
830103
Wages for telephone calls
0
830104
Card mobile phone
0
830105
Chandelier card
0
830106
Telegraph services, telex
0
830107
Data transport services a
0
830108
Internet connectivity ser
0
830109
Expenses of the telecommu
0
830110
Phone and fax rental
0
830111
Telephone and fax service
0
911101
Tv size less than 26 knot
2849
911102
Tv size 26 knots or more
3411
911103
Registered
255
911104
Video
406
911105
Radio
520
911106
Radio recorder
124
911107
Loudspeakers
105
911108
Tv antennas
646
911109
Video game consoles (atar
1108
911110
Satellite services
4053
911111
Audio-visual equipment an
581
912101
Imaging camera alfotgrave
662
912102
Video camera
197
912103
Equipment and other devic
25
913101
Pc
1562
913102
Printers and software for
111
913103
Instruments calculator
120
913104
Typewriter
11
913105
Other information process
105
914101
Videotapes
0
914102
Cassette tapes and cds
0
914103
Cds for pc
0
914104
Ordinary and color photog
0
914105
Other means of recording
0
915101
Repair and maintenance of
44
921101
Tents of the trips
101
921102
Buy a boat
9
921103
Horse, donkey, etc. .....
20
921104
Horse-drawn vehicles
0
921105
Others (saddles, bridle,
23
922101
Musical instruments (pian
58
922102
Tables (pool, tennis ...
9
922103
Maintenance and repair
3
931101
Card games, chess, table
478
931102
Play of all kinds (cars,
4591
931103
Requirements collection o
77
931104
Software video games
101
931105
Other (collection of coin
52
932101
Rackets
34
932102
Football, tennis, table .
2256
932103
Equipment bodybuilding an
37
932104
Fishing hooks
70
932105
Other equipment (firearms
74
932106
Repair and maintenance
8
933101
Natural plants
0
933102
Artificial plants
0
933103
Others (such as fertilize
0
934101
Buy pets
1365
934102
Pet supplies
957
934103
Other materials
75
935101
Veterinarian
531
935102
Medicines for animals
768
935103
Veterinary services of th
52
941101
City games tickets
0
941102
Sports tickets
0
941103
The value of the particip
0
941104
Expenses of the fitness c
0
941105
Rental equipment and supp
0
941106
Training programs (swimmi
0
941107
Extension services touris
0
941108
Services, entertainment a
0
942101
The value of movie ticket
0
942102
Expenditure on museums an
0
942103
Works of art galleries an
0
942104
Expenses of visiting hist
0
942105
To lease videotapes and c
0
942106
Services photographers (p
0
942107
Other cultural services
0
951101
Cultural books (atlas, di
1811
951102
Textbooks
345
951103
Foreign textbooks
771
953101
Alkatolokut and advertisi
38
953102
Posters, greeting cards,
47
953103
Maps and models of the ea
7
953104
Other publications
23
954101
Books and pamphlets
0
954102
Pens of all kinds
0
954103
Sharpener and eraser
0
954104
Carbon papers and tapes
0
954105
Alcabsat and pins and pin
0
954106
Scissors, paper
0
954107
Gum
0
954108
Paper clips
0
954109
Drawing materials, paint,
0
954110
Other (rulers, engineerin
0
960101
The value of the particip
573
960102
Tours in iraq (accommodat
1042
960103
Hajj and umrah
463
960104
Other flights out of iraq
266
1010101
Expenses and tuition fees
3846
1010102
Expenses of private lesso
222
1010103
Expenses and tuition fees
1521
1010104
Expenses of private lesso
348
1010105
Expenses and tuition fees
927
1010106
Tutoring expenses for the
568
1010107
Other expenses
232
1020101
Expenses and tuition fees
853
1020102
Expenses of studies, dipl
119
1020103
Expenses tutorials
104
1020104
Other expenses
84
1030101
Vocational training and d
48
1030102
Language programs
122
1030103
Computer programs
104
1030104
Training programs and oth
41
1040101
Custody fees
0
1040102
Kindergarten fees
0
1040103
Nursery and kindergarten
0
1120101
Hotels
0
1120102
The role of tourism and r
0
1120103
Dormitories
0
1120104
Other services stay in ir
0
1120201
Living expenses out of ir
0
1211201
Barber men wages
0
1211202
Women wages barber
0
1211203
Wages bath
0
1211204
Wages sauna and massage
0
1211205
Other personal care
0
1212101
Electrical items (shaving
4595
1212102
Repair and maintenance
32
1212103
Other (electrical applian
186
1213101
Non-electric machines (sh
0
1213102
Personal hygiene items (s
0
1213103
Cosmetics (lipstick, nail
0
1213104
Other products (toilet pa
0
1231101
Gold and jewelry accessor
3697
1231102
Clocks
9840
1231103
Watches women and men
3989
1231104
Maintenance and repair of
197
1231105
Other (jewelry, clocks an
169
1232101
Women bag
10537
1232102
Men bag and the governo
2173
1232103
School bag
11917
1232104
Suitcase
1330
1232105
Goods for children (child
2045
1232106
A variety of personal eff
139
1232107
Sunglasses men and women
2095
1232108
Lighters
18367
1232109
Umbrella
1763
1232110
Key chain
260
1232111
Walking stick
140
1232112
Accessories is not gold
5917
1232113
Repair and maintenance of
48
1232114
Other personal effects
231
1270101
Fees for legal services
2898
1270102
Membership fees and subsc
461
1270103
Expenditure on weddings a
3422
1270104
Expenditures on funerals
3558
1270105
Spending on ads
88
1270106
Expenses extraction offic
6397
1270107
Stockbrokers wages
151
1270108
Wages of lawyers
299
1270109
Photocopying expenses and
5519
1270110
Expenditures on school sh
663
1270111
Costs of borrowing from b
124
1270112
Health insurance premiums
8
1270113
Accident insurance premiu
3
1270114
Life insurance premiums
9
1270115
Health insurance premiums
1
1270116
Property fees
121
1270117
Banking fees and commissi
25
1270118
Border exit fees
79
1270119
Court fees
73
1270120
Other (expenses on servic
105
Measurement unit
126738
260624
1
Meter
0
2
Number
112853
3
Pair
0
4
Kg
0
5
Square meter
13885
6
Bottle
0
7
Liter
0
8
N/a
0
2147483635
N/a
0
11
.n
260624
Acquired...?
387362
0
1
Yes
387362
2
No
0
Quantity acquired ...?
129093
258269
0
400
Amonut paid / imputed value
387360
2
0
720000
Main source
387336
26
1
Purchased
371578
2
Received as gift from other hholds
9321
3
Received as gift from outside the household sector
5786
4
Payment for work
29
5
Self production
401
6
Other source
221
Sysmiss
26
Questionnaire Identifier
1092990
0
110100011
350728329
Stratum
1092990
0
1101
3507
1101
10529
1102
10935
1103
12169
1104
8685
1105
11062
1106
9832
1107
9932
1201
8391
1203
10751
1204
10190
1205
6897
1206
8484
1208
7383
1209
5968
1301
7893
1302
6576
1303
8569
1304
7964
1305
8306
1306
6617
1307
4980
1308
4395
1309
8916
1310
8727
1311
8636
1312
7990
1313
8740
1314
8064
1315
9227
1316
6858
1401
10746
1402
9716
1403
7223
1404
9016
1501
11917
1502
10888
1503
6734
1504
7370
1505
6320
1506
6989
1508
6042
1509
11339
1510
5796
1511
9271
2101
9492
2102
8131
2103
9979
2104
5712
2105
7430
2106
5190
2201
9653
2202
8712
2203
9525
2204
7974
2205
8626
2206
7329
2207
6802
2208
6565
2301
9936
2302
11170
2303
11340
2304
11995
2305
10309
2306
10896
2307
9248
2308
10794
2309
9123
2310
10760
2401
13999
2402
9372
2403
13162
2405
11071
2501
10024
2502
8964
2503
9938
2601
8448
2602
9461
2603
9323
2604
8173
2605
9405
2606
9825
2701
6993
2702
10913
2703
9245
2704
10167
2705
8467
2706
8719
2707
9158
2708
9815
2801
15459
2802
15287
2803
11134
3101
11390
3102
6943
3104
6722
3105
9531
3201
8446
3202
8290
3203
5778
3204
7763
3301
11994
3302
9214
3303
9637
3304
9760
3305
8482
3401
8779
3402
10624
3403
9732
3404
8832
3405
9926
3406
8796
3501
12497
3502
11645
3503
12942
3504
12531
3505
11538
3506
12838
3507
12114
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
1092990
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
1092990
0
0
5739.253
Weight for the analysis of time-use data
1092990
0
0
7858.94
Weight for the analysis of food consumption by recall
1092990
0
14.039
6903.901
q6: Governorate
1092990
0
0
Test
0
11
Duhok
64914
12
Nainawa
75565
13
Sulaimaniya
122458
14
Kirkuk
36701
15
Erbil
73395
21
Diyala
45934
22
Anbar
65186
23
Baghdad
105571
24
Babylon
47604
25
Kerbela
28926
26
Wasit
54635
27
Salah al-deen
73477
28
Najaf
41880
31
Qadisiya
34586
32
Muthanna
30277
33
Thi-qar
49087
34
Maysan
56689
35
Basrah
86105
q7: Qadha
1092990
0
0
Test
0
1
01
186586
2
02
162395
3
03
167181
4
04
132854
5
05
123586
6
06
95515
7
07
56018
8
08
44994
9
09
35346
10
10
25283
11
11
17907
12
12
12436
13
13
8740
14
14
8064
15
15
9227
16
16
6858
cluster: Cluster serial
1092990
0
1
2832
hh: Household Number
1092990
0
1
124872
2
124802
3
123285
4
123690
5
123894
6
122788
7
116883
8
116909
9
115867
q27: Size of the Household
1092990
0
1
42
Day Number
1092990
0
Line Number
1092990
0
1
40
1
165673
2
161278
3
152123
4
136678
5
115736
6
92855
7
71753
8
54207
9
40431
10
29586
11
21496
12
15493
13
11106
14
7813
15
5455
16
3752
17
2554
18
1638
19
1009
20
452
21
432
22
360
23
289
24
228
25
180
26
135
27
96
28
70
29
43
30
21
31
12
32
9
33
6
34
4
35
4
36
3
37
3
38
3
39
3
40
1
Item Code
1092990
0
9999
1
111101
Rice (ration)
1284
111102
Rice, imported
16036
111103
Rice commercial (local)
2511
111104
Rice flour
153
111105
Others (bench ...... etc.
96
111201
Wheat
88
111202
Brown wheat flour (ration
269
111203
Commercial wheat flour, b
1273
111204
White wheat flour (ration
491
111205
Commercial white wheat fl
1591
111206
Barley
29
111207
Barley flour
10
111208
Yellow corn
182
111209
Grain and other products
190
111301
Burghul (cracked wheat)
3863
111302
Habbiya (whole roasted wh
620
111303
Meal .. semolina
892
111304
Maccaroni and vermicelli
9677
111305
Starch
444
111306
Cornflakes
18
111307
Children food (ration)
1
111308
Children food (commerci
730
111309
Corn crisps
112
111310
Corn chips
1491
111311
Other (ground maize, popc
209
111401
Bread, all types
12194
111402
Buns, all types and sizes
22714
111403
Kahi (local millefeuille)
271
111404
Klecha (local pastry)
73
111405
Cake
7905
111406
Biscuits
10084
111407
Rusk and zwieback
1289
111408
Readymade pizza
143
111409
Other bread and bakery pr
700
111410
Milling and baking charge
69
112101
Mutton, fresh
9015
112102
Mutton, frozen
1130
112103
Fresh beef
10781
112104
Beef frozen
1398
112105
Frozen chicken
16576
112106
Live chicken
14602
112107
Goat meet
319
112108
Buffalo meat
54
112109
Red meat imported
415
112110
Camel meat
1
112111
Pork
0
112112
The meat of other animals
47
112113
Pacha (lamb or cow head,
206
112114
Fresh liver
170
112115
Frozen liver (imported)
203
112116
Fresh brain
3
112117
Brain frozen (imported)
4
112118
Tongue, fresh
2
112119
Tongue frozen (imported)
2
112120
Fresh kidneys
7
112121
Colleges frozen (imported
8
112122
Baidh ghanam (lamb testes
75
112123
Baidh ghanam (lamb testes
4
112124
Sheep tail fresh fat
46
112125
Sheep tail frozen fat (im
4
112126
Chicken liver, kidney and
447
112127
Chicken liver, kidney and
491
112128
Chicken wings and necks
193
112129
Other chicken offals
5365
112130
Other fresh meat
111
112131
Dried meats (bastirma: sp
140
112132
Canned meat (including sa
1636
112133
Meat mincing charges
201
112134
Meat grilling charges
28
112135
Slaughtering charges
34
112136
Other meat, fresh frozen
515
113101
Fresh river fish
5613
113102
Fresh fish
942
113103
Fish, frozen
2304
113104
Fish, dried
131
113105
Canned fish
392
113106
Shrimps
26
113107
Frozen shrimp
4
113108
Other fish species
1012
113132
Other (quince ..... Etc.)
90
114101
Fresh milk
5726
114102
Fresh milk imported
1272
114103
Powdered milk ( children_
525
114104
Powdered milk (commercial
2169
114105
Condensed milk
1849
114106
Formula milk
4069
114107
Local milk
29783
114108
Yogurt???
4604
114109
Local cheese
3214
114110
Imported cheese
31210
114111
Local arabs qamr
1491
114112
Qamr importer
4320
114113
Local butter
301
114114
Butter imported
1432
114115
Packed cream
62
114116
Cream local
323
114117
Cream imported
8359
114118
Other
1085
114201
Local chicken eggs
12018
114202
Chicken eggs imported
46746
114203
Eggs, other
317
115101
Vegetable fat (ration)
41
115102
Vegetable fat (commercial
1815
115103
Animal fat (ghee)
186
115104
Vegetable oil (ration)
367
115105
Vegetable oil (commercial
8599
115106
Olive oil
106
115107
Sesame oil
2545
115108
Margarine
0
115109
Other oils and fats
126
116101
Orange
17278
116102
Lemon
3366
116103
Sweet lemon
50
116104
Mandarins
4063
116105
Sour orange
397
116106
Grapefruit
59
116107
Citron
81
116108
Other citrus fruits
336
116109
Green plum
524
116110
Peach
2549
116111
Plum
682
116112
Loquat
34
116113
Raw olives
423
116114
Apricot
1712
116115
Cherry plum
575
116116
Other (lotus, azarole, et
124
116117
Apple
17322
116118
Melon
5909
116119
Water melon
13915
116120
Pomegranate
4863
116121
Grape
10481
116122
Banana
12779
116123
Pear
622
116124
Fresh figs
731
116125
Khaki
45
116126
Kiwi
1272
116127
Mulberry
22
116128
Pineapple
31
116129
Cherry
291
116130
Strawberry
113
116131
Fresh dates
3072
116201
Canned fruit
38
116202
Canned olives
798
116203
Sultanas
2668
116204
Dried figs
35
116205
Tirshana (dried halved ap
563
116206
Qaisi (dried whole aprico
258
116207
Dried dates
535
116208
Canned and packed dates
803
116209
Almonds
446
116210
Walnut
774
116211
Coconut
54
116212
Grated coconut
170
116213
Chestnut, acorn
20
116214
Water melon seeds
142
116215
Pumpkin seeds
250
116216
Pistachio
641
116217
Hazelnuts
35
116218
Peanuts
204
116219
Sunflower seeds
3872
116220
Other (currants, dried ap
348
117101
Tomatoes
85366
117102
Okra
12464
117103
Egg plant
27512
117104
Squash, pumpkins
7269
117105
Stringed beans
2802
117106
Broad beans
3284
117107
Peas
627
117108
Grean beans
475
117109
Cauliflower
1218
117110
Cabbage
929
117111
Potato
43103
117112
Onions
22980
117113
Green onions
5028
117114
Dry garlic
1657
117115
Fresh garlic
166
117116
Spinach
1014
117117
Purslane
67
117118
Turnip
1031
117119
Beetroot
292
117120
Turnip cabbage
629
117121
Green pepper
6712
117122
Carrots
1799
117123
Radish
1607
117124
Lettuce
5354
117125
Swisschard
4168
117126
Cucumber
40379
117127
Canned, frozen and dried
87
117128
Truffles
102
117129
Mushroom
307
117130
Other (leek celery .. etc
32216
117201
Tomato paste
25141
117202
Fava beans (canned)
356
117203
Cooked vegetables (canned
132
117204
Other canned vegetables
146
117205
Other
35
117301
Dry white beans (ration)
168
117302
Dry white beans (commerci
12059
117303
Dry broad beans
812
117304
Chick peas (ration)
30
117305
Chick peas (commercial)
5975
117306
Ground chick peas
616
117307
Lentils (ration)
74
117308
Lentils (commercial)
8129
117309
Dry stringed beans
628
117310
Vigna
727
117311
Sesame
254
117312
Other (oat, etc)
18
117313
Other legumes
81
117401
Crisps
28451
117402
Other products
773
118101
Sugar (ration)
353
118102
Sugar (commercial)
5761
118103
Assorted sweets
12153
118104
Chocolate
10465
118105
Jam
3662
118106
Honey
492
118107
Date syrup
1864
118108
Artificially flavored jui
2543
118109
Chewing gum
2733
118110
Ice-cream
12879
118111
Ice
3864
118112
Other sugar products
956
119101
Salt (ration)
30
119102
Salt (commercial)
5570
119103
Vinegar
409
119104
Cardamon
539
119105
Numi basra
2127
119106
Pickles
8378
119107
Bulk treated olives
133
119108
Mayyonaise
93
119109
Spices
4878
119110
Cinnamon
108
119111
Black pepper
231
119112
Baking powder
366
119113
Yeast
3052
119114
Sauce (kechup)
268
119115
Mustard
6
119116
Sauces and flavors
564
119117
Food products, other non-
2325
121101
Tea (ration)
35
121102
Tea (commercial)
15215
121103
Coffee and instant coffee
374
121104
Cocoa
792
121105
Mineral waters, soft drin
206
122101
Gaseous beverages
21992
122102
Mineral waters
3793
122103
Buying other types of wat
15385
122104
Soda water
12
122105
Fruit juice
12766
122106
Sherbet (all types)
763
122107
Other soft drinks, fruit
2013
211101
Whisky
52
211102
Wine
1
211103
Arak
2
211104
Brandy
3
211105
Beer
66
211106
Other alcoholic drinks
22
221101
Cigarettes
30230
221102
Tobacco
3
221103
Persian tobacco
0
221104
Cigars, cheroots
38
221105
Hookah tobacco curing
122
221106
Snuff
0
221107
Other
3
231101
Opium and cocaine
0
452201
Gasoline from station / n
4001
452202
Gasoline station / mohsen
957
452203
Commercial gasoline
3596
722101
Gasoline from station / n
2335
722102
Gasoline station / mohsen
947
722103
Commercial gasoline
1894
731102
Passenger transport by ro
16320
731105
1
731106
Passenger river
45
952101
Newspapers
123
952102
Magazines and other perio
27
1111101
Sandwich (all types)
4559
1111102
Kebab, tikka and liver (g
1614
1111103
Barbecued chicken
819
1111104
Barbecued and fried fish
108
1111105
Miscellaneous hors de heuv
58
1111106
Various meal dishes
3749
1111107
Non-alcoholic beverages (
1774
1111108
Alcoholioc beverages (bee
94
1111109
Houkah
64
1111110
Other restaurants, cafes
481
Quantity
1002669
90321
0
38000
Unit
1092962
28
1
Kg
828113
2
Lt
85060
3
Nb
89400
4
No_unit
90389
Sysmiss
28
Amount paid (Dinars)
1092970
20
0.25
950000
Main Source
1092944
46
1
Purchase
1056641
2
Gift from other households
13331
3
Gift from outside the household sector
554
4
Payment for work
969
5
Self production
20348
6
Other
1101
Sysmiss
46
Questionnaire Identifier
176042
0
110100011
350728329
Stratum
176042
0
1101
3507
1101
1500
1102
1785
1103
1603
1104
1397
1105
1824
1106
1735
1107
1767
1201
1516
1203
1620
1204
1719
1205
1492
1206
1945
1208
1691
1209
1819
1301
880
1302
1117
1303
1058
1304
1133
1305
978
1306
1062
1307
916
1308
842
1309
1127
1310
1111
1311
1132
1312
1052
1313
1096
1314
1091
1315
1151
1316
1095
1401
1310
1402
1992
1403
1269
1404
1430
1501
1170
1502
1207
1503
1251
1504
1103
1505
1193
1506
1085
1508
1244
1509
1454
1510
1057
1511
1301
2101
1300
2102
1372
2103
1258
2104
1130
2105
1263
2106
1332
2201
1819
2202
1773
2203
1909
2204
1673
2205
1877
2206
1628
2207
1706
2208
1536
2301
1228
2302
1381
2303
1421
2304
1350
2305
1203
2306
1325
2307
1409
2308
1734
2309
1493
2310
1393
2401
1436
2402
1850
2403
1682
2405
1574
2501
1273
2502
1277
2503
1424
2601
1503
2602
1653
2603
1843
2604
1477
2605
1685
2606
1737
2701
1501
2702
1460
2703
1596
2704
1641
2705
1658
2706
1591
2707
1599
2708
1829
2801
1510
2802
1689
2803
1704
3101
1549
3102
1665
3104
1552
3105
1744
3201
1628
3202
1915
3203
1994
3204
2024
3301
1501
3302
1624
3303
1516
3304
1659
3305
1490
3401
1716
3402
1751
3403
1864
3404
1889
3405
1793
3406
1859
3501
1506
3502
1579
3503
1686
3504
1836
3505
1442
3506
1538
3507
1697
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
176042
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
176042
0
0
5739.253
Weight for the analysis of time-use data
176042
0
0
7858.94
Weight for the analysis of food consumption by recall
176042
0
14.039
6903.901
q6: Governorate
176042
0
0
Test
0
11
DUHOK
10212
12
NAINAWA
14502
13
SULAIMANIYA
16841
14
KIRKUK
6001
15
ERBIL
10764
21
DIYALA
7655
22
ANBAR
13921
23
BAGHDAD
13937
24
BABYLON
6542
25
KERBELA
3974
26
WASIT
9898
27
SALAH AL-DEEN
12875
28
NAJAF
4903
31
QADISIYA
6510
32
MUTHANNA
7561
33
THI-QAR
7790
34
MAYSAN
10872
35
BASRAH
11284
q7: Qadha
176042
0
0
Test
0
1
01
25846
2
02
26314
3
03
26698
4
04
23013
5
05
20593
6
06
16837
7
07
9717
8
08
8876
9
09
5893
10
10
3561
11
11
2433
12
12
1828
13
13
1096
14
14
1091
15
15
1151
16
16
1095
cluster: Cluster serial
176042
0
1
2832
hh: Household Number
176042
0
1
19196
2
19614
3
19703
4
19630
5
19942
6
19466
7
19250
8
19670
9
19571
q27: Size of the Household
176042
0
1
42
ID CODE
176042
0
1
42
4.927
3.633
1
25146
2
24891
3
23689
4
22125
5
19343
6
15846
7
12050
8
8943
9
6507
10
4635
11
3294
12
2433
13
1796
14
1341
15
1019
16
754
17
562
18
410
19
267
20
214
21
167
22
128
23
94
24
78
25
68
26
52
27
40
28
33
29
28
30
23
31
17
32
13
33
9
34
6
35
6
36
3
37
3
38
3
39
3
40
1
41
1
42
1
169722
6320
1
169722
Sysmiss
6320
table1 Day # 1, dinner outside HH expenditure
169366
6676
1
169366
Sysmiss
6676
table1 Day # 1, lunch outside HH expenditure
159245
16797
1
159245
Sysmiss
16797
168846
7196
1
168846
Sysmiss
7196
table1 Day # 2, dinner outside HH expenditure
168748
7294
1
168748
Sysmiss
7294
table1 Day # 2, lunch outside HH expenditure
159487
16555
1
159487
Sysmiss
16555
168596
7446
1
168596
Sysmiss
7446
table1 Day # 3, dinner outside HH expenditure
168385
7657
1
168385
Sysmiss
7657
table1 Day # 3, lunch outside HH expenditure
160392
15650
1
160392
Sysmiss
15650
168277
7765
1
168277
Sysmiss
7765
table1 Day # 4, dinner outside HH expenditure
167833
8209
1
167833
Sysmiss
8209
table1 Day # 4, lunch outside HH expenditure
159305
16737
1
159305
Sysmiss
16737
167962
8080
1
167962
Sysmiss
8080
table1 Day # 5, dinner outside HH expenditure
167789
8253
1
167789
Sysmiss
8253
table1 Day # 5, lunch outside HH expenditure
158172
17870
1
158172
Sysmiss
17870
167856
8186
1
167856
Sysmiss
8186
table1 Day # 6, dinner outside HH expenditure
167236
8806
1
167236
Sysmiss
8806
table1 Day # 6, lunch outside HH expenditure
157678
18364
1
157678
Sysmiss
18364
167749
8293
1
167749
Sysmiss
8293
table1 Day # 7, dinner outside HH expenditure
167341
8701
1
167341
Sysmiss
8701
table1 Day # 7, lunch outside HH expenditure
157535
18507
1
157535
Sysmiss
18507
Questionnaire Identifier
25146
0
110100011
350728329
Stratum
25146
0
1101
3507
1101
215
1102
216
1103
215
1104
216
1105
216
1106
216
1107
216
1201
216
1203
216
1204
216
1205
216
1206
216
1208
211
1209
216
1301
192
1302
205
1303
203
1304
209
1305
209
1306
204
1307
198
1308
200
1309
209
1310
206
1311
212
1312
209
1313
209
1314
205
1315
213
1316
209
1401
215
1402
207
1403
189
1404
216
1501
216
1502
215
1503
216
1504
212
1505
215
1506
216
1508
215
1509
216
1510
212
1511
216
2101
204
2102
213
2103
213
2104
216
2105
211
2106
215
2201
216
2202
216
2203
216
2204
215
2205
213
2206
216
2207
213
2208
213
2301
215
2302
216
2303
216
2304
216
2305
214
2306
215
2307
214
2308
215
2309
213
2310
216
2401
216
2402
215
2403
216
2405
216
2501
201
2502
206
2503
205
2601
215
2602
214
2603
215
2604
216
2605
215
2606
216
2701
214
2702
216
2703
216
2704
209
2705
216
2706
215
2707
216
2708
215
2801
214
2802
216
2803
216
3101
216
3102
216
3104
214
3105
212
3201
216
3202
216
3203
214
3204
216
3301
215
3302
215
3303
216
3304
216
3305
216
3401
215
3402
215
3403
214
3404
215
3405
214
3406
215
3501
214
3502
214
3503
216
3504
216
3505
216
3506
215
3507
215
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
25146
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
25146
0
0
5739.253
Weight for the analysis of time-use data
25146
0
0
7858.94
Weight for the analysis of food consumption by recall
25146
0
14.039
6903.901
q6: Governorate
25146
0
0
Test
0
11
DUHOK
1348
12
NAINAWA
1885
13
SULAIMANIYA
3292
14
KIRKUK
827
15
ERBIL
1933
21
DIYALA
1272
22
ANBAR
1718
23
BAGHDAD
2150
24
BABYLON
863
25
KERBELA
612
26
WASIT
1291
27
SALAH AL-DEEN
1717
28
NAJAF
646
31
QADISIYA
858
32
MUTHANNA
862
33
THI-QAR
1078
34
MAYSAN
1288
35
BASRAH
1506
q7: Qadha
25146
0
0
Test
0
1
01
3825
2
02
3541
3
03
3612
4
04
3218
5
05
2927
6
06
2359
7
07
1344
8
08
1269
9
09
854
10
10
634
11
11
428
12
12
299
13
13
209
14
14
205
15
15
213
16
16
209
cluster: Cluster serial
25146
0
1
2832
hh: Household Number
25146
0
1
2803
2
2798
3
2784
4
2801
5
2797
6
2781
7
2793
8
2796
9
2793
q27: Size of the Household
25146
0
1
42
18658
6488
0
21
19090
6056
0
70
19261
5885
0
60
18649
6497
0
65
19057
6089
0
99
19185
5961
0
99
18703
6443
0
99
18957
6189
0
99
19154
5992
0
99
18636
6510
0
99
18986
6160
0
99
19141
6005
0
99
18667
6479
0
25
18910
6236
0
80
19104
6042
0
48
18559
6587
0
25
18817
6329
0
40
18956
6190
0
45
18510
6636
0
90
18610
6536
0
99
18836
6310
0
99
Questionnaire Identifier
45946
0
110100011
350728328
Stratum
45946
0
1101
3507
1101
485
1102
505
1103
371
1104
498
1105
564
1106
485
1107
419
1201
317
1203
387
1204
347
1205
253
1206
353
1208
212
1209
256
1301
325
1302
698
1303
395
1304
478
1305
409
1306
635
1307
712
1308
755
1309
543
1310
417
1311
470
1312
375
1313
363
1314
385
1315
402
1316
458
1401
372
1402
828
1403
423
1404
449
1501
353
1502
331
1503
295
1504
321
1505
305
1506
290
1508
288
1509
416
1510
255
1511
390
2101
306
2102
293
2103
253
2104
237
2105
290
2106
243
2201
420
2202
445
2203
471
2204
419
2205
366
2206
337
2207
312
2208
373
2301
303
2302
360
2303
311
2304
267
2305
337
2306
311
2307
397
2308
449
2309
347
2310
279
2401
429
2402
583
2403
470
2405
486
2501
316
2502
307
2503
318
2601
336
2602
374
2603
364
2604
307
2605
475
2606
457
2701
310
2702
341
2703
439
2704
340
2705
298
2706
437
2707
334
2708
523
2801
478
2802
573
2803
488
3101
406
3102
328
3104
344
3105
527
3201
359
3202
396
3203
373
3204
395
3301
342
3302
289
3303
272
3304
274
3305
244
3401
390
3402
472
3403
521
3404
325
3405
371
3406
319
3501
359
3502
383
3503
357
3504
374
3505
336
3506
340
3507
353
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
45946
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
45946
0
0
5739.253
Weight for the analysis of time-use data
45946
0
0
7858.94
Weight for the analysis of food consumption by recall
45946
0
14.039
6903.901
q6: Governorate
45946
0
0
Test
0
11
DUHOK
2912
12
NAINAWA
2930
13
SULAIMANIYA
7820
14
KIRKUK
2072
15
ERBIL
2854
21
DIYALA
1622
22
ANBAR
3143
23
BAGHDAD
3361
24
BABYLON
1968
25
KERBELA
941
26
WASIT
2313
27
SALAH AL-DEEN
3022
28
NAJAF
1539
31
QADISIYA
1605
32
MUTHANNA
1523
33
THI-QAR
1421
34
MAYSAN
2398
35
BASRAH
2502
q7: Qadha
45946
0
0
Test
0
1
01
6606
2
02
7290
3
03
6508
4
04
5375
5
05
5062
6
06
4207
7
07
2726
8
08
2600
9
09
1562
10
10
951
11
11
860
12
12
591
13
13
363
14
14
385
15
15
402
16
16
458
cluster: Cluster serial
45946
0
1
2832
hh: Household Number
45946
0
1
5236
2
5124
3
5087
4
5099
5
5213
6
5027
7
5012
8
5111
9
5037
q27: Size of the Household
45946
0
1
42
Id code
45914
32
1
39
3.122
3.253
Job Serial Number
45943
3
1
First job
41043
2
Second job
4306
3
Third job
497
4
Fourth job
95
5
2
Sysmiss
3
q1301_occ: Occupation Code
45928
0
q1302_1: Wage in Agriculture
716
45230
1
716
Sysmiss
45230
q1302_2: Wage Not in Agriculture
27618
18328
1
27618
Sysmiss
18328
q1302_3: Non-wage in Agriculture
10141
35805
1
10141
Sysmiss
35805
q1302_4: Non-Wage Not in Agriculture
7419
38527
1
7419
Sysmiss
38527
q1303_01: Worked in January?
40786
5160
0
1
1
40785
Sysmiss
5160
q1303_02: Worked in February?
40882
5064
0
1
1
40881
Sysmiss
5064
q1303_03: Worked in March?
41715
4231
0
1
1
41714
Sysmiss
4231
q1303_04: Worked in April?
42060
3886
0
1
1
42059
Sysmiss
3886
q1303_05: Worked in May?
42214
3732
0
1
1
42213
Sysmiss
3732
q1303_06: Worked in June?
41885
4061
0
1
1
41884
Sysmiss
4061
q1303_07: Worked in July?
41222
4724
0
3
1
41219
Sysmiss
4724
q1303_08: Worked in August?
40940
5006
0
3
1
40937
Sysmiss
5006
q1303_09: Worked in September?
41756
4190
0
3
1
41753
Sysmiss
4190
q1303_10: Worked in October?
41858
4088
0
2
1
41856
Sysmiss
4088
q1303_11: Worked in November?
41605
4341
0
2
1
41603
Sysmiss
4341
q1303_12: Worked in December?
40947
4999
0
2
1
40945
Sysmiss
4999
q1304_1: Hours worked on Sunday
45920
26
q1304_2: Hours worked on Sunday
45920
26
q1304_3: Hours worked on Sunday
45922
24
0
24
q1304_4: Hours worked on Sunday
45919
27
0
24
q1304_5: Hours worked on Sunday
45918
28
0
24
q1304_6: Hours worked on Sunday
45899
47
0
24
q1304_7: Hours worked on Sunday
45912
34
0
24
Questionnaire Identifier
45946
0
110100011
350728328
Stratum
45946
0
1101
3507
1101
485
1102
505
1103
371
1104
498
1105
564
1106
485
1107
419
1201
317
1203
387
1204
347
1205
253
1206
353
1208
212
1209
256
1301
325
1302
698
1303
395
1304
478
1305
409
1306
635
1307
712
1308
755
1309
543
1310
417
1311
470
1312
375
1313
363
1314
385
1315
402
1316
458
1401
372
1402
828
1403
423
1404
449
1501
353
1502
331
1503
295
1504
321
1505
305
1506
290
1508
288
1509
416
1510
255
1511
390
2101
306
2102
293
2103
253
2104
237
2105
290
2106
243
2201
420
2202
445
2203
471
2204
419
2205
366
2206
337
2207
312
2208
373
2301
303
2302
360
2303
311
2304
267
2305
337
2306
311
2307
397
2308
449
2309
347
2310
279
2401
429
2402
583
2403
470
2405
486
2501
316
2502
307
2503
318
2601
336
2602
374
2603
364
2604
307
2605
475
2606
457
2701
310
2702
341
2703
439
2704
340
2705
298
2706
437
2707
334
2708
523
2801
478
2802
573
2803
488
3101
406
3102
328
3104
344
3105
527
3201
359
3202
396
3203
373
3204
395
3301
342
3302
289
3303
272
3304
274
3305
244
3401
390
3402
472
3403
521
3404
325
3405
371
3406
319
3501
359
3502
383
3503
357
3504
374
3505
336
3506
340
3507
353
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
45946
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
45946
0
0
5739.253
Weight for the analysis of time-use data
45946
0
0
7858.94
Weight for the analysis of food consumption by recall
45946
0
14.039
6903.901
q6: Governorate
45946
0
0
Test
0
11
DUHOK
2912
12
NAINAWA
2930
13
SULAIMANIYA
7820
14
KIRKUK
2072
15
ERBIL
2854
21
DIYALA
1622
22
ANBAR
3143
23
BAGHDAD
3361
24
BABYLON
1968
25
KERBELA
941
26
WASIT
2313
27
SALAH AL-DEEN
3022
28
NAJAF
1539
31
QADISIYA
1605
32
MUTHANNA
1523
33
THI-QAR
1421
34
MAYSAN
2398
35
BASRAH
2502
q7: Qadha
45946
0
0
Test
0
1
01
6606
2
02
7290
3
03
6508
4
04
5375
5
05
5062
6
06
4207
7
07
2726
8
08
2600
9
09
1562
10
10
951
11
11
860
12
12
591
13
13
363
14
14
385
15
15
402
16
16
458
cluster: Cluster serial
45946
0
1
2832
hh: Household Number
45946
0
1
5236
2
5124
3
5087
4
5099
5
5213
6
5027
7
5012
8
5111
9
5037
q27: Size of the Household
45946
0
1
42
Id code
45914
32
1
39
1
22288
2
4615
3
5322
4
3761
5
2442
6
1790
7
1269
8
1025
9
856
10
652
11
484
12
330
13
287
14
202
15
168
16
104
17
64
18
52
19
47
20
39
21
32
22
14
23
16
24
12
25
10
26
8
27
7
28
4
29
6
30
1
31
1
32
3
36
2
39
1
Sysmiss
32
Job Serial Number
45943
3
1
First job
41043
2
Second job
4306
3
Third job
497
4
Fourth job
95
5
2
Sysmiss
3
q1402_code: Activity code
28319
17627
3
999988
q1303: Economical sector
28327
17619
1
GOVERNMENTAL SECTOR
14424
2
PUBLIC SECTOR
801
3
PRIVATE SECTOR
12452
4
COOPERATIVE SECTOR
37
5
MIXED SECTOR
95
6
LOCAL NON-GOV. ORGANIZATIONS
89
7
INTERNATIONAL NON-GOV. ORGANIZATION
11
8
PRIVATE HOUSEHOLD
369
9
FOREIGN SECTOR
20
10
OTHER
29
Sysmiss
17619
q1404: Number of persons who are working
28328
17618
1
Less than 5 workers
8684
2
5 - 10 workers
8066
3
11 - 50 workers
7377
4
51 - 100 workers
1902
5
More than 100 workers
2299
Sysmiss
17618
q1405: Air conditioning available to you?
28328
17618
1
Central air conditioning
1546
2
Non central cooling and heating
8709
3
INDOORS BUT NO HEATING OR COOLING
2864
4
Exposed partly to weather conditions
5011
5
Exposed entirely to the weather conditions
10198
Sysmiss
17618
q1406_a: Negatively exposed to Soil and gases?
28328
17618
1
SERIOUSLY EXPOSED
3624
2
MODERATELY EXPOSED
9661
3
SLIGHTLY EXPOSED
6252
4
NOT EXPOSED
8791
Sysmiss
17618
q1406_b: Negatively exposed to Chemicals and Radiation?
28328
17618
1
SERIOUSLY EXPOSED
860
2
MODERATELY EXPOSED
3398
3
SLIGHTLY EXPOSED
2768
4
NOT EXPOSED
21302
Sysmiss
17618
q1406_c: Negatively exposed to Heat?
28328
17618
1
SERIOUSLY EXPOSED
5331
2
MODERATELY EXPOSED
11863
3
SLIGHTLY EXPOSED
5818
4
NOT EXPOSED
5316
Sysmiss
17618
q1406_d: Negatively exposed to humidity?
28328
17618
1
SERIOUSLY EXPOSED
1955
2
MODERATELY EXPOSED
9980
3
SLIGHTLY EXPOSED
5844
4
NOT EXPOSED
10549
Sysmiss
17618
q1406_e: Negatively exposed to noise?
28328
17618
1
SERIOUSLY EXPOSED
3906
2
MODERATELY EXPOSED
11113
3
SLIGHTLY EXPOSED
6140
4
NOT EXPOSED
7169
Sysmiss
17618
q1406_f: Negatively exposed to Soil lightning?
28327
17619
1
SERIOUSLY EXPOSED
852
2
MODERATELY EXPOSED
7309
3
SLIGHTLY EXPOSED
3790
4
NOT EXPOSED
16376
Sysmiss
17619
q1406_g: Negatively exposed to other?
28005
17941
1
SERIOUSLY EXPOSED
611
2
MODERATELY EXPOSED
3682
3
SLIGHTLY EXPOSED
2293
4
NOT EXPOSED
21419
Sysmiss
17941
q1407: Degree of danger
28328
17618
1
VERY DANGEROUS
2328
2
DANGEROUS
4881
3
RELATIVELY DANGEROUS
8405
4
NOT DANGEROUS
12714
Sysmiss
17618
q1408: Mean of transport
28328
17618
1
WAKING
8333
2
PRIVATE CAR
5166
3
PUBLIC TRANSPORT
11180
4
MOTORCYCLE
732
5
BICYCLE
290
6
TRANSPORT PROVIDED BY EMPLOYER
2368
7
OTHER
259
Sysmiss
17618
q1409: tme needed
28328
17618
-2
720
q1410: Hours per week
28322
17624
-2
140
q1411: days of annual holidays
28325
17621
-3
360
q1412: days of yearly vacations
28327
17619
-3
270
q1413: Main means used to get this job
28327
17619
1
CALLED A GOVERNMENTAL EMPLOYMENT CENTER
4376
2
CALLED PRIVATE EMPLOYMENT CENTERS
249
3
CALLED EMPLOYERS PERSONALLY, OR VIA PHONE
2853
4
SUBMITTING WORK APPLICATIONS
6953
5
I ASKED RELATIVES/ FRIENDS TO SEARCH FOR ME
9472
6
DID SOME ARRANGEMENTS FOR ACTIVITIES FOR NEW WORKS OR MORE
117
7
ASKED HUMANITARIAN ORGANIZATIONS
12
8
CONTACTED GOVERNMENTAL INSTITUTIONS
846
9
FOLLOWED UP ON JOB OPPORTUNITIES ADS
209
10
PROMOTED MY WORK VIA AN ADVERTISEMENT
186
11
I WAS AFFERED A JOB, BY OTHERS
2582
12
OTHER
472
Sysmiss
17619
q1414_a: Does job provide health care security?
28327
17619
1
YES
1363
2
NO
26964
Sysmiss
17619
q1414_b: Does job provide retirement social protection?
28327
17619
1
YES
12956
2
NO
15371
Sysmiss
17619
28327
17619
1
27843
2
167
3
62
4
186
5
19
6
16
7
28
8
1
9
1
10
2
11
1
17
1
Sysmiss
17619
q1415_b: Interval covered (UNIT)
28327
17619
1
DAY
9062
2
WEEK
1558
3
FORTNIGHT
196
4
MONTH
17511
Sysmiss
17619
q1416_a: Average amount after... (CASH)
28326
17620
0
7180
q1416_b: Average amount after... (IN-KIND)
28327
17619
0
4800
q1417_a: How much ... in allowances (Cash)
28327
17619
0
48600
q1417_b: How much ... in allowances (In-kind)
28327
17619
0
160000
Questionnaire Identifier
25146
0
110100011
350728329
Stratum
25146
0
1101
3507
1101
215
1102
216
1103
215
1104
216
1105
216
1106
216
1107
216
1201
216
1203
216
1204
216
1205
216
1206
216
1208
211
1209
216
1301
192
1302
205
1303
203
1304
209
1305
209
1306
204
1307
198
1308
200
1309
209
1310
206
1311
212
1312
209
1313
209
1314
205
1315
213
1316
209
1401
215
1402
207
1403
189
1404
216
1501
216
1502
215
1503
216
1504
212
1505
215
1506
216
1508
215
1509
216
1510
212
1511
216
2101
204
2102
213
2103
213
2104
216
2105
211
2106
215
2201
216
2202
216
2203
216
2204
215
2205
213
2206
216
2207
213
2208
213
2301
215
2302
216
2303
216
2304
216
2305
214
2306
215
2307
214
2308
215
2309
213
2310
216
2401
216
2402
215
2403
216
2405
216
2501
201
2502
206
2503
205
2601
215
2602
214
2603
215
2604
216
2605
215
2606
216
2701
214
2702
216
2703
216
2704
209
2705
216
2706
215
2707
216
2708
215
2801
214
2802
216
2803
216
3101
216
3102
216
3104
214
3105
212
3201
216
3202
216
3203
214
3204
216
3301
215
3302
215
3303
216
3304
216
3305
216
3401
215
3402
215
3403
214
3404
215
3405
214
3406
215
3501
214
3502
214
3503
216
3504
216
3505
216
3506
215
3507
215
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
25146
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
25146
0
0
5739.253
Weight for the analysis of time-use data
25146
0
0
7858.94
Weight for the analysis of food consumption by recall
25146
0
14.039
6903.901
q6: Governorate
25146
0
0
Test
0
11
DUHOK
1348
12
NAINAWA
1885
13
SULAIMANIYA
3292
14
KIRKUK
827
15
ERBIL
1933
21
DIYALA
1272
22
ANBAR
1718
23
BAGHDAD
2150
24
BABYLON
863
25
KERBELA
612
26
WASIT
1291
27
SALAH AL-DEEN
1717
28
NAJAF
646
31
QADISIYA
858
32
MUTHANNA
862
33
THI-QAR
1078
34
MAYSAN
1288
35
BASRAH
1506
q7: Qadha
25146
0
0
Test
0
1
01
3825
2
02
3541
3
03
3612
4
04
3218
5
05
2927
6
06
2359
7
07
1344
8
08
1269
9
09
854
10
10
634
11
11
428
12
12
299
13
13
209
14
14
205
15
15
213
16
16
209
cluster: Cluster serial
25146
0
1
2832
hh: Household Number
25146
0
1
2803
2
2798
3
2784
4
2801
5
2797
6
2781
7
2793
8
2796
9
2793
q27: Size of the Household
25146
0
1
42
q1501: Agricultural holdings over past 12 m?
25146
0
1
YES
3700
2
NO
21446
q1502: Area (AULK)
2852
22294
0
95
q1402: Area (DONUM)
3694
21452
0
900
q1503_1: who operates land? (1)
3697
21449
1
3111
2
180
3
170
4
75
5
42
6
24
7
22
8
18
9
14
10
13
11
10
12
4
13
3
14
3
15
3
16
2
17
2
18
1
Sysmiss
21449
q1503_2: who operates land? (2)
1675
23471
1
22
q1503_3: who operates land? (3)
793
24353
1
27
q1503_4: who operates land? (4)
422
24724
1
29
q1503_5: who operates land? (5)
212
24934
1
29
q1503_6: who operates land? (6)
108
25038
5
30
q1504: Area cultivated (AULK)
2854
22292
0
50
q1504: Area cultivated (DONUM)
3677
21469
0
900
q1505: Has produced any...?: Cereals
3684
21462
1
YES
2095
2
NO
1589
Sysmiss
21462
q1505: Has produced any...?: Fruits
3684
21462
1
YES
1094
2
NO
2590
Sysmiss
21462
q1505: Has produced any...?: Vegetables
3684
21462
1
YES
1456
2
NO
2228
Sysmiss
21462
q1505: Has produced any...?: Dates
3684
21462
1
YES
333
2
NO
3351
Sysmiss
21462
q1505: Has produced any...?: Industrial crops (cotton, tobacco...)
3684
21462
1
YES
60
2
NO
3624
Sysmiss
21462
q1505: Has produced any...?: Fodder
3684
21462
1
YES
669
2
NO
3015
Sysmiss
21462
q1505: Has produced any...?: Others
3683
21463
1
YES
163
2
NO
3520
Sysmiss
21463
q1506_a: Quantity in KG: Cereals
2094
23052
0
246500
q1506_a: Quantity in KG: Fruits
1093
24053
0
2000200
q1506_a: Quantity in KG: Vegetables
1455
23691
0
800000
q1506_a: Quantity in KG: Dates
333
24813
4
40000
q1506_a: Quantity in KG: Industrial crops (cotton, tobacco...)
60
25086
30
100000
q1506_a: Quantity in KG: Fodder
669
24477
0
144000
q1506_a: Quantity in KG: Others
162
24984
0
31500
q1506_b: Value in TH dinars: Cereals
2094
23052
0
79560
q1506_b: Value in TH dinars: Fruits
1093
24053
0
75000
q1506_b: Value in TH dinars: Vegetables
1456
23690
0
96000
q1506_b: Value in TH dinars: Dates
333
24813
8
20000
q1506_b: Value in TH dinars: Industrial crops (cotton, tobacco...)
60
25086
30
30000
q1506_b: Value in TH dinars: Fodder
669
24477
0
36000
q1506_b: Value in TH dinars: Others
162
24984
0
14000
q1507_a: quantity sold (kg): Cereals
2095
23051
0
246500
q1507_a: quantity sold (kg): Fruits
1094
24052
0
6000000
q1507_a: quantity sold (kg): Vegetables
1454
23692
0
9000000
q1507_a: quantity sold (kg): Dates
332
24814
0
40000
q1507_a: quantity sold (kg): Industrial crops (cotton, tobacco...)
60
25086
0
100000
q1507_a: quantity sold (kg): Fodder
667
24479
0
70000
q1507_a: quantity sold (kg): Others
163
24983
0
31500
q1507_b: quantity consumed (kg): Cereals
2095
23051
0
10000
q1507_b: quantity consumed (kg): Fruits
1094
24052
0
5600
q1507_b: quantity consumed (kg): Vegetables
1454
23692
0
8000
q1507_b: quantity consumed (kg): Dates
333
24813
0
2500
q1507_b: quantity consumed (kg): Industrial crops (cotton, tobacco...)
60
25086
0
500
q1507_b: quantity consumed (kg): Fodder
667
24479
0
2500
q1507_b: quantity consumed (kg): Others
163
24983
0
2000
q1507_c: quantity given away (kg): Cereals
2095
23051
0
12600
q1507_c: quantity given away (kg): Fruits
1094
24052
0
5700
q1507_c: quantity given away (kg): Vegetables
1454
23692
0
6000
q1507_c: quantity given away (kg): Dates
333
24813
0
1000
q1507_c: quantity given away (kg): Industrial crops (cotton, tobacco...)
60
25086
0
500
q1507_c: quantity given away (kg): Fodder
667
24479
0
10000
q1507_c: quantity given away (kg): Others
163
24983
0
5600
q1507_d: quantity Used as fodder for animals? (kg): Cereals
2095
23051
0
50000
q1507_d: quantity Used as fodder for animals? (kg): Fruits
1094
24052
0
1600
q1507_d: quantity Used as fodder for animals? (kg): Vegetables
1454
23692
0
2000
q1507_d: quantity Used as fodder for animals? (kg): Dates
332
24814
0
2000
q1507_d: quantity Used as fodder for animals? (kg): Industrial crops (cotton, to
60
25086
0
3000
q1507_d: quantity Used as fodder for animals? (kg): Fodder
668
24478
0
144000
q1507_d: quantity Used as fodder for animals? (kg): Others
163
24983
0
10000
q1507_e: quantity Used as seed (kg): Cereals
2094
23052
0
20000
q1507_e: quantity Used as seed (kg): Fruits
1094
24052
0
400
q1507_e: quantity Used as seed (kg): Vegetables
1454
23692
0
15000
q1507_e: quantity Used as seed (kg): Dates
332
24814
q1507_e: quantity Used as seed (kg): Industrial crops (cotton, tobacco...)
60
25086
0
100
q1507_e: quantity Used as seed (kg): Fodder
667
24479
0
3000
q1507_e: quantity Used as seed (kg): Others
163
24983
0
200
q1507_f: quantity stored (kg): Cereals
2095
23051
0
20000
q1507_f: quantity stored (kg): Fruits
1094
24052
0
7550
q1507_f: quantity stored (kg): Vegetables
1454
23692
0
5000
q1507_f: quantity stored (kg): Dates
332
24814
0
4000
q1507_f: quantity stored (kg): Industrial crops (cotton, tobacco...)
60
25086
0
100
q1507_f: quantity stored (kg): Fodder
667
24479
0
8000
q1507_f: quantity stored (kg): Others
163
24983
0
9500
q1507_g: quantity given to landlord (kg): Cereals
2100
23046
0
55800
q1507_g: quantity given to landlord (kg): Fruits
1098
24048
0
5000
q1507_g: quantity given to landlord (kg): Vegetables
1458
23688
0
24000
q1507_g: quantity given to landlord (kg): Dates
336
24810
0
3500
q1507_g: quantity given to landlord (kg): Industrial crops (cotton, tobacco...)
64
25082
q1507_g: quantity given to landlord (kg): Fodder
669
24477
0
45000
q1507_g: quantity given to landlord (kg): Others
167
24979
0
2250
q1507_h: quantity given as wages (kg): Cereals
2095
23051
0
15000
q1507_h: quantity given as wages (kg): Fruits
1094
24052
0
2000
q1507_h: quantity given as wages (kg): Vegetables
1454
23692
0
3000
q1507_h: quantity given as wages (kg): Dates
332
24814
0
1600
q1507_h: quantity given as wages (kg): Industrial crops (cotton, tobacco...)
60
25086
0
150
q1507_h: quantity given as wages (kg): Fodder
667
24479
0
30000
q1507_h: quantity given as wages (kg): Others
163
24983
0
25
q1507_i: quantity other (kg): Cereals
2095
23051
0
6580
q1507_i: quantity other (kg): Fruits
1094
24052
0
7300
q1507_i: quantity other (kg): Vegetables
1454
23692
0
1500
q1507_i: quantity other (kg): Dates
332
24814
0
200
q1507_i: quantity other (kg): Industrial crops (cotton, tobacco...)
60
25086
q1507_i: quantity other (kg): Fodder
667
24479
0
100
q1507_i: quantity other (kg): Others
163
24983
0
300
q1508: amount received from sales: Cereals
2095
23051
0
126000
q1508: amount received from sales: Fruits
1093
24053
0
34825
q1508: amount received from sales: Vegetables
1454
23692
0
93300
q1508: amount received from sales: Dates
332
24814
0
19850
q1508: amount received from sales: Industrial crops (cotton, tobacco...)
60
25086
0
15000
q1508: amount received from sales: Fodder
666
24480
0
25000
q1508: amount received from sales: Others
163
24983
0
9600
q1509: Animal production activity?
25146
0
1
YES
3679
2
NO
21467
q1510: How much received from sales: Goats & Sheep
3633
21513
0
60000
q1510: How much received from sales: Cows and buffaloes
3657
21489
0
90000
q1510: How much received from sales: Donkeys & Mules
3619
21527
0
6500
q1510: How much received from sales: Poultry
3639
21507
0
153750
q1510: How much received from sales: OTHER
3619
21527
0
18000
q1511: How much from sales of products: Goats & Sheep
3627
21519
0
35000
q1511: How much from sales of products: Cows and buffaloes
3657
21489
0
108000
q1511: How much from sales of products: Donkeys & Mules
3613
21533
0
660
q1511: How much from sales of products: Poultry
3633
21513
0
15000
q1511: How much from sales of products: OTHER
3614
21532
0
13350
q1512: Value of hh consumption: Goats & Sheep
3625
21521
0
30000
q1512: Value of hh consumption: Cows and buffaloes
3657
21489
0
5500
q1512: Value of hh consumption: Donkeys & Mules
0
25146
q1512: Value of hh consumption: Poultry
3631
21515
0
5430
q1512: Value of hh consumption: OTHER
3612
21534
0
1750
q1513_1: amount spent past 12m on Fertilizers, pesticides
5067
20079
0
48000
q1513_2: amount spent past 12m on Seeds
5059
20087
0
43750
q1513_3: amount spent past 12m on Young plants
5050
20096
0
8000
q1513_4: amount spent past 12m on Sacs, plastic sheets, field tools, storage fac
5053
20093
0
10350
q1513_5: amount spent past 12m on Fuel to dry crops or for transport means or ir
5049
20097
0
12500
q1513_6: amount spent past 12m on Rental of catterpillar machinery (inclusive co
5053
20093
0
68000
q1513_7: amount spent past 12m on Transport
5050
20096
0
32500
q1513_8: amount spent past 12m on Irrigation (do not list fuel)
5048
20098
0
12400
q1513_9: amount spent past 12m on Other , related to plant production
5049
20097
0
10000
q1513_10: amount spent past 12m on Fodder
5060
20086
0
180000
q1513_11: amount spent past 12m on Veterinary
5060
20086
0
41200
q1513_12: amount spent past 12m on Water and electricity
5051
20095
0
28000
q1513_13: amount spent past 12m on Other, what is related to animal production
5049
20097
0
45000
q1513_14: amount spent past 12m on Labour wages (cash and in kind)
5051
20095
0
75000
q1513_15: amount spent past 12m on Interests and expenditures over agricultural
5047
20099
0
12000
q1513_16: amount spent past 12m on Outcome of the land
5046
20100
0
38500
q1513_17: amount spent past 12m on Cash share of the owner from plant production
5050
20096
0
36000
q1513_18: amount spent past 12m on Cash share of the owner from animal productio
5046
20100
0
35000
q1513_19: amount spent past 12m on Tax
5047
20099
0
18000
q1513_20: amount spent past 12m on Purchase of equipment and agricultural machin
5049
20097
0
69400
q1513_21: amount spent past 12m on Purchases of transportation means
5046
20100
0
42000
q1513_22: amount spent past 12m on improving the land
5049
20097
0
60000
q1513_23: amount spent past 12m on Purchase of productive animals
5046
20100
0
87000
q1513_24: amount spent past 12m on Barn building, digging of canals and wells, b
5048
20098
0
70000
q1513_25: amount spent past 12m on Amount paid to rations agent for value of rat
5072
20074
0
282360
q1514: Aquatic activity?
25145
1
1
YES
223
2
NO
24922
Sysmiss
1
q1515_a: Value of aquatic sold
218
24928
0
180000
q1515_b: Quantity Aquatic product (kg)
218
24928
0
400000
q1516_a: Value of aquatic consumed
219
24927
0
10000
q1516_b: Quantity aquatic consumed (kg)
219
24927
0
1200
q1517_a: Value aquatic given away
219
24927
0
6000
q1517_b: Quantity aquatic given away (kg)
218
24928
0
1000
q1518_a: Aquatic: value of hired labor
214
24932
0
8000
1518_b: Amount in boat purchase
214
24932
0
6000
q1518_c: Acuatic: other expenses
219
24927
0
100000
q1519: Forestry activity?
25092
54
1
YES
1290
2
NO
23802
Sysmiss
54
q1520: Forestry: amount received from sales
1286
23860
0
7240
q1521: Forestry: Value consumed
1286
23860
0
1600
q1522: Forestry: expenditures
1285
23861
0
1725
Questionnaire Identifier
25857
0
110100011
350728329
Stratum
25857
0
1101
3507
1101
229
1102
225
1103
223
1104
218
1105
227
1106
223
1107
222
1201
223
1203
223
1204
220
1205
216
1206
223
1208
213
1209
216
1301
198
1302
210
1303
211
1304
216
1305
219
1306
212
1307
210
1308
208
1309
221
1310
211
1311
219
1312
220
1313
226
1314
208
1315
221
1316
214
1401
225
1402
215
1403
190
1404
224
1501
221
1502
223
1503
217
1504
212
1505
215
1506
217
1508
215
1509
218
1510
213
1511
218
2101
209
2102
218
2103
219
2104
216
2105
212
2106
215
2201
219
2202
228
2203
224
2204
224
2205
218
2206
223
2207
215
2208
214
2301
221
2302
223
2303
220
2304
217
2305
219
2306
217
2307
215
2308
218
2309
214
2310
217
2401
224
2402
227
2403
225
2405
226
2501
213
2502
211
2503
207
2601
225
2602
219
2603
219
2604
218
2605
226
2606
227
2701
219
2702
218
2703
228
2704
216
2705
219
2706
221
2707
218
2708
221
2801
243
2802
246
2803
247
3101
222
3102
223
3104
219
3105
218
3201
219
3202
223
3203
215
3204
228
3301
223
3302
217
3303
220
3304
218
3305
217
3401
218
3402
217
3403
220
3404
215
3405
216
3406
216
3501
220
3502
216
3503
227
3504
221
3505
226
3506
219
3507
218
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
25857
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
25857
0
0
5739.253
Weight for the analysis of time-use data
25857
0
0
7858.94
Weight for the analysis of food consumption by recall
25857
0
14.039
6903.901
q6: Governorate
25857
0
0
Test
0
11
DUHOK
1399
12
NAINAWA
1920
13
SULAIMANIYA
3424
14
KIRKUK
854
15
ERBIL
1951
21
DIYALA
1289
22
ANBAR
1765
23
BAGHDAD
2181
24
BABYLON
902
25
KERBELA
631
26
WASIT
1334
27
SALAH AL-DEEN
1760
28
NAJAF
736
31
QADISIYA
882
32
MUTHANNA
885
33
THI-QAR
1095
34
MAYSAN
1302
35
BASRAH
1547
q7: Qadha
25857
0
0
Test
0
1
01
3971
2
02
3665
3
03
3735
4
04
3282
5
05
3000
6
06
2413
7
07
1372
8
08
1289
9
09
869
10
10
641
11
11
437
12
12
314
13
13
226
14
14
208
15
15
221
16
16
214
cluster: Cluster serial
25857
0
1
2832
hh: Household Number
25857
0
1
2885
2
2858
3
2858
4
2894
5
2905
6
2860
7
2870
8
2864
9
2863
q27: Size of the Household
25857
0
1
42
Enterprise ID
6447
0
A
5736
B
625
C
71
D
12
E
3
Enterprise Line Number
6447
19410
1
5736
2
625
3
71
4
12
5
3
Sysmiss
19410
q1601: Non-agricultural activity?
25857
0
1
YES
6448
2
no
19409
q1602_2: Activity code
6446
19411
9999
999955
q1602: Activity description (unicode)
6443
0
q1603_1: Who was involved (1st code)
6446
19411
1
26
q1603_1_jsn: Job serial number from sect 13 (1st code)
6446
19411
1
5582
2
769
3
75
4
20
Sysmiss
19411
q2603_2: Who was involved (2nd code)
576
25281
1
25
q1603_2_jsn: Job serial number from sect 13 (2nd code)
574
25283
1
529
2
44
4
1
Sysmiss
25283
q3603_3: Who was involved (3rd code)
131
25726
3
7
4
37
5
16
6
20
7
11
8
7
9
5
10
6
11
4
12
6
13
4
14
1
15
2
16
1
17
1
18
1
19
1
20
1
Sysmiss
25726
q1603_3_jsn: Job serial number from sect 13 (3rd code)
130
25727
1
126
2
4
Sysmiss
25727
29
25828
4
27
q1603_4_jsn: Job serial number from sect 13 (4th code)
29
25828
1
29
Sysmiss
25828
q5603_5: Who was involved (5th code)
8
25849
1
2
5
1
6
2
7
1
8
1
18
1
Sysmiss
25849
q1603_5_jsn: Job serial number from sect 13 (5th code)
6
25851
1
5
2
1
Sysmiss
25851
q6603_6: Who was involved (6th code)
2
25855
6
1
22
1
Sysmiss
25855
q1603_6_jsn: Job serial number from sect 13 (6th code)
2
25855
1
2
Sysmiss
25855
q1604: Percentage belongs to hh
6445
19412
0
100
q1605_1: Expenses on Raw material
6445
19412
0
2284676
q1605_2: Expenses on Goods to resale
6446
19411
0
12000000
q1605_3: Expenses on Water and electricity
6445
19412
0
270000
q1605_4: Expenses on Cables, Post, Phone
6446
19411
0
696000
q1605_5: Expenses on Fuel & Oil (for other than transport)
6446
19411
0
720000
q1605_6 Expenses on Packaging Material
6446
19411
0
360000
q1605_7: Expenses on Renting of Machinery / Equipment
6446
19411
0
325085
q1605_8: Expenses on Repair and Maintain Machinery
6446
19411
0
72000
q1605_9: Expenses on Rental of facilities
6446
19411
0
720000
q1605_10: Expenses on Cost of Transport, inclusive fuel & oil
6446
19411
0
1000000
q1605_11: Expenses on Repair and Maintain Utility Areas
6446
19411
0
500000
q1605_12: Expenses on Other Expenditures
6446
19411
0
190000
q1605_13: Expenses on Paid interest on work loans
6446
19411
0
48000
q1605_14: Expenses on Cash payments to workers
6446
19411
0
375000
q1605_15: Expenses on In-kind payments to workers
6446
19411
0
54000
q1605_16: Expenses on Direct Tax
6446
19411
0
180000
q1605_17: Expenses on Indirect Tax
6446
19411
0
15000
q1605_18: Other expenses
6445
19412
0
45000
q1605_19: Total expenses
6445
19412
0
13832000
q1606_1: Revenue from Net profit from industrial work
6443
19414
0
216000
q1606_2: Revenue from Net profit from commercial work
6442
19415
0
8400000
q1606_3: Revenue from Net profit from building and construction
6439
19418
0
386005
q1606_4: Revenue from Net profit from communications and transport
6440
19417
0
4500000
q1606_5: Revenue from Net profit from services activities
6440
19417
0
120000
q1606_6: Total revenue
6446
19411
0
8400000
q1607: Type of air conditioning
6446
19411
1
CENTRAL AIR-CONDITIONING
245
2
NON-CENTRAL COOLING AND HEATING
2213
3
INDOORS BUT NO HEATING OR COOLING
891
4
PARTIALLY SUBJECTED TO WEATHER CONDITIONS
1550
5
TOTALLY SUBJECTED TO WEATHER CONDITIONS
1547
Sysmiss
19411
q1608_a: Affected by Soil and Gases?
6446
19411
1
SERIOUSLY EXPOSED
571
2
MODERATELY EXPOSED
2058
3
SLIGHTLY EXPOSED
1659
4
NOT EXPOSED
2158
Sysmiss
19411
q1608_b: Affected by Chemicals and Radiation
6446
19411
1
SERIOUSLY EXPOSED
123
2
MODERATELY EXPOSED
484
3
SLIGHTLY EXPOSED
492
4
NOT EXPOSED
5347
Sysmiss
19411
q1608_c: Affected by Heat
6446
19411
1
SERIOUSLY EXPOSED
875
2
MODERATELY EXPOSED
2813
3
SLIGHTLY EXPOSED
1539
4
NOT EXPOSED
1219
Sysmiss
19411
q1608_d: Affected by Humidity
6446
19411
1
SERIOUSLY EXPOSED
246
2
MODERATELY EXPOSED
1999
3
SLIGHTLY EXPOSED
1403
4
NOT EXPOSED
2798
Sysmiss
19411
q1608_e: Affected by Noise
6446
19411
1
SERIOUSLY EXPOSED
863
2
MODERATELY EXPOSED
2511
3
SLIGHTLY EXPOSED
1485
4
NOT EXPOSED
1587
Sysmiss
19411
q1608_f: Affected by Lighting
6446
19411
1
SERIOUSLY EXPOSED
115
2
MODERATELY EXPOSED
1520
3
SLIGHTLY EXPOSED
905
4
NOT EXPOSED
3906
Sysmiss
19411
q1608_g Affected by other
6444
19413
1
SERIOUSLY EXPOSED
75
2
MODERATELY EXPOSED
771
3
SLIGHTLY EXPOSED
503
4
NOT EXPOSED
5095
Sysmiss
19413
q1609: Degree of danger
6446
19411
1
VERY DANGEROUS
242
2
DANGEROUS
790
3
RELATIVELY DANGEROUS
1729
4
NOT DANGEROUS
3685
Sysmiss
19411
q1610: Mean of transport
6446
19411
1
WALKING
2588
2
PRIVATE CAR
1567
3
PUBLIC TRANSPORT
656
4
BICYCLE
122
5
SAME BUILDING
926
6
ENTERPRISE CAR
67
7
OTHER
520
Sysmiss
19411
q1611: Time taken (mins)
6446
19411
-3
720
q1612: Hours per week worked
6446
19411
0
480
q1613: Number of days of yearly holidays
6446
19411
-3
330
Questionnaire Identifier
980681
0
110100011
350728329
Stratum
980681
0
1101
3507
1101
8385
1102
8424
1103
8385
1104
8424
1105
8424
1106
8424
1107
8424
1201
8424
1203
8424
1204
8424
1205
8424
1206
8424
1208
8229
1209
8424
1301
7488
1302
7995
1303
7917
1304
8151
1305
8151
1306
7956
1307
7722
1308
7800
1309
8151
1310
8034
1311
8268
1312
8151
1313
8151
1314
7995
1315
8307
1316
8151
1401
8385
1402
8073
1403
7371
1404
8424
1501
8424
1502
8385
1503
8424
1504
8268
1505
8385
1506
8424
1508
8385
1509
8424
1510
8268
1511
8423
2101
7956
2102
8307
2103
8307
2104
8424
2105
8229
2106
8385
2201
8424
2202
8424
2203
8424
2204
8385
2205
8307
2206
8424
2207
8307
2208
8307
2301
8382
2302
8424
2303
8424
2304
8424
2305
8346
2306
8376
2307
8346
2308
8385
2309
8307
2310
8424
2401
8424
2402
8385
2403
8424
2405
8424
2501
7839
2502
8034
2503
7995
2601
8385
2602
8346
2603
8385
2604
8424
2605
8385
2606
8424
2701
8346
2702
8424
2703
8424
2704
8151
2705
8424
2706
8385
2707
8424
2708
8385
2801
8346
2802
8424
2803
8424
3101
8424
3102
8424
3104
8346
3105
8268
3201
8424
3202
8424
3203
8346
3204
8424
3301
8385
3302
8385
3303
8424
3304
8424
3305
8424
3401
8385
3402
8385
3403
8346
3404
8385
3405
8346
3406
8385
3501
8346
3502
8346
3503
8424
3504
8424
3505
8424
3506
8385
3507
8385
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
980681
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
980681
0
0
5739.253
Weight for the analysis of time-use data
980681
0
0
7858.94
Weight for the analysis of food consumption by recall
980681
0
14.039
6903.901
q6: Governorate
980681
0
0
Test
0
11
DUHOK
52572
12
NAINAWA
73514
13
SULAIMANIYA
128388
14
KIRKUK
32253
15
ERBIL
75387
21
DIYALA
49608
22
ANBAR
67002
23
BAGHDAD
83838
24
BABYLON
33657
25
KERBELA
23868
26
WASIT
50349
27
SALAH AL-DEEN
66963
28
NAJAF
25194
31
QADISIYA
33462
32
MUTHANNA
33618
33
THI-QAR
42042
34
MAYSAN
50232
35
BASRAH
58734
q7: Qadha
980681
0
0
Test
0
1
01
149172
2
02
138099
3
03
140868
4
04
125502
5
05
114153
6
06
91992
7
07
52416
8
08
49491
9
09
33306
10
10
24726
11
11
16691
12
12
11661
13
13
8151
14
14
7995
15
15
8307
16
16
8151
cluster: Cluster serial
980681
0
1
2832
hh: Household Number
980681
0
1
109316
2
109122
3
108576
4
109239
5
109080
6
108459
7
108927
8
109044
9
108918
q27: Size of the Household
980681
0
1
42
Other income code
980681
0
1
From renting agricultural land
25145
2
Income from agricultural land cooperative system
25145
3
Rental of vacant land
25145
4
Rent of residential buildings
25146
5
Rent of non-residential buildings
25146
6
Rent of machinery or equipment
25146
7
Rent of means of transport
25146
8
Other rentals
25146
9
Shares profit
25146
10
Profits from cooperative companies
25146
11
Interests on bonds & Trusts
25146
12
Property Rights and Publications
25146
13
Civil retirement
25146
14
Military retirement
25146
15
Inherited retirement
25145
16
Social security retirement
25146
17
Disability retirement
25146
18
25146
19
Social protection Network Compensations
25146
20
Emergency payments
25146
21
Vocational Training Allocations
25146
22
Educational Scholarships
25146
23
From other families in Iraq
25146
24
Other families outside Iraq
25146
25
From Government
25146
26
From other sources in Iraq
25146
27
Other sources outside Iraq
25146
28
From other families in Iraq
25146
29
Other families outside Iraq
25146
30
From Government
25146
31
From other sources in Iraq
25145
32
Other sources outside Iraq
25145
33
Insurance compensations
25145
34
Legal payments (Alimony…)
25145
35
Zakat Funds Support
25145
36
Source of inheritance
25145
37
Marriage endowment
25145
38
Lottery winnings
25145
39
Other Transferable Income, e.g. selling rations items…
25145
q1701: Did receive income from?
980681
0
1
YES
61606
2
NO
919075
q1702_a1: Who received (id code 1)
61598
919083
1
31
q1702_a2: Amount received (id code 1)
61595
919086
1
600000
q1702_b1: Who received (id code 2)
3517
977164
1
29
q1702_b2: Amount received (id code 2)
3515
977166
1
52000
q1702_c1: Who received (id code 3)
1022
979659
1
37
q1702_c2: Amount received (id code 3)
1022
979659
1
34440
Questionnaire Identifier
601928
0
110100011
350728329
Stratum
601928
0
1101
3507
1101
5307
1102
5292
1103
5285
1104
5153
1105
5311
1106
5252
1107
5248
1201
5212
1203
5123
1204
4990
1205
5012
1206
5114
1208
4738
1209
4886
1301
4602
1302
4838
1303
4833
1304
4972
1305
4977
1306
4834
1307
4743
1308
4730
1309
4984
1310
4976
1311
5083
1312
5018
1313
5079
1314
4974
1315
5078
1316
5002
1401
5265
1402
5087
1403
4489
1404
5291
1501
5381
1502
5198
1503
5107
1504
5024
1505
5012
1506
5147
1508
5062
1509
5247
1510
4947
1511
5152
2101
4935
2102
4929
2103
5127
2104
4991
2105
4867
2106
4970
2201
5317
2202
5428
2203
5305
2204
5231
2205
5129
2206
5181
2207
5139
2208
5152
2301
5089
2302
5229
2303
5145
2304
5079
2305
5188
2306
5139
2307
5061
2308
5142
2309
5073
2310
5087
2401
5304
2402
5180
2403
5223
2405
5280
2501
4862
2502
4851
2503
4898
2601
5265
2602
5143
2603
5131
2604
5197
2605
5248
2606
5250
2701
5196
2702
5187
2703
5233
2704
5135
2705
5264
2706
5174
2707
5251
2708
5260
2801
5237
2802
5323
2803
5229
3101
5246
3102
5139
3104
5084
3105
5062
3201
5052
3202
5200
3203
4994
3204
5131
3301
5079
3302
4984
3303
5091
3304
5080
3305
5117
3401
5179
3402
5266
3403
5056
3404
4972
3405
5046
3406
4983
3501
5113
3502
5099
3503
5199
3504
5100
3505
5145
3506
5105
3507
5097
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
601928
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
601928
0
0
5739.253
Weight for the analysis of time-use data
601928
0
0
7858.94
Weight for the analysis of food consumption by recall
601928
0
14.039
6903.901
q6: Governorate
601928
0
0
Test
0
11
DUHOK
32880
12
NAINAWA
44195
13
SULAIMANIYA
78723
14
KIRKUK
20132
15
ERBIL
46125
21
DIYALA
29819
22
ANBAR
41882
23
BAGHDAD
51232
24
BABYLON
20987
25
KERBELA
14611
26
WASIT
31234
27
SALAH AL-DEEN
41700
28
NAJAF
15789
31
QADISIYA
20531
32
MUTHANNA
20377
33
THI-QAR
25351
34
MAYSAN
30502
35
BASRAH
35858
q7: Qadha
601928
0
0
Test
0
1
01
92641
2
02
85172
3
03
86468
4
04
76430
5
05
69891
6
06
56149
7
07
32306
8
08
30084
9
09
20190
10
10
15010
11
11
10235
12
12
7219
13
13
5079
14
14
4974
15
15
5078
16
16
5002
cluster: Cluster serial
601928
0
1
2832
hh: Household Number
601928
0
1
67087
2
66829
3
66447
4
67135
5
67097
6
66642
7
66830
8
66883
9
66978
q27: Size of the Household
601928
0
1
42
Durable Good Code
601928
0
1
Car
25584
2
Taxi
25047
3
Motorcycle
25157
4
COOLER
34772
5
refrigerator
26760
6
Electric washing machine
25467
7
Electric generator
25233
8
TV
37799
9
Cooker (gas, electric or kerosene)
25128
10
Water heater (electric, gas, solar or kerosene)
25100
11
Heater (kerosene, gas heater or electric)
25126
12
Electric fan
25126
13
Air condition
25047
14
Frozen
25070
15
Water cooler
25041
16
Dishwasher
25027
17
Electric vacuum cleaner
25040
18
Personal computer
25042
19
Play station /games
25043
20
Satellite
25122
21
Video / recorder or CD-player / DVD
25045
22
IPAD
25021
23
TOTAL
25131
Serial Number for the durable
131000
470928
1
105618
2
20622
3
4760
Sysmiss
470928
Correlative
131000
470928
1
24
q1801: Number of durable good owned
601928
0
0
64
131000
470928
1955
2013
q1803: How much did you pay? (dinars)
130999
470929
-2
120000000
q1804: year of manufacture
131000
470928
1955
2013
q1805: Value today (dinars)
131000
470928
100
120000000
Questionnaire Identifier
25146
0
110100011
350728329
Stratum
25146
0
1101
3507
1101
215
1102
216
1103
215
1104
216
1105
216
1106
216
1107
216
1201
216
1203
216
1204
216
1205
216
1206
216
1208
211
1209
216
1301
192
1302
205
1303
203
1304
209
1305
209
1306
204
1307
198
1308
200
1309
209
1310
206
1311
212
1312
209
1313
209
1314
205
1315
213
1316
209
1401
215
1402
207
1403
189
1404
216
1501
216
1502
215
1503
216
1504
212
1505
215
1506
216
1508
215
1509
216
1510
212
1511
216
2101
204
2102
213
2103
213
2104
216
2105
211
2106
215
2201
216
2202
216
2203
216
2204
215
2205
213
2206
216
2207
213
2208
213
2301
215
2302
216
2303
216
2304
216
2305
214
2306
215
2307
214
2308
215
2309
213
2310
216
2401
216
2402
215
2403
216
2405
216
2501
201
2502
206
2503
205
2601
215
2602
214
2603
215
2604
216
2605
215
2606
216
2701
214
2702
216
2703
216
2704
209
2705
216
2706
215
2707
216
2708
215
2801
214
2802
216
2803
216
3101
216
3102
216
3104
214
3105
212
3201
216
3202
216
3203
214
3204
216
3301
215
3302
215
3303
216
3304
216
3305
216
3401
215
3402
215
3403
214
3404
215
3405
214
3406
215
3501
214
3502
214
3503
216
3504
216
3505
216
3506
215
3507
215
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
25146
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
25146
0
0
5739.253
Weight for the analysis of time-use data
25146
0
0
7858.94
Weight for the analysis of food consumption by recall
25146
0
14.039
6903.901
q6: Governorate
25146
0
0
Test
0
11
DUHOK
1348
12
NAINAWA
1885
13
SULAIMANIYA
3292
14
KIRKUK
827
15
ERBIL
1933
21
DIYALA
1272
22
ANBAR
1718
23
BAGHDAD
2150
24
BABYLON
863
25
KERBELA
612
26
WASIT
1291
27
SALAH AL-DEEN
1717
28
NAJAF
646
31
QADISIYA
858
32
MUTHANNA
862
33
THI-QAR
1078
34
MAYSAN
1288
35
BASRAH
1506
q7: Qadha
25146
0
0
Test
0
1
01
3825
2
02
3541
3
03
3612
4
04
3218
5
05
2927
6
06
2359
7
07
1344
8
08
1269
9
09
854
10
10
634
11
11
428
12
12
299
13
13
209
14
14
205
15
15
213
16
16
209
cluster: Cluster serial
25146
0
1
2832
hh: Household Number
25146
0
1
2803
2
2798
3
2784
4
2801
5
2797
6
2781
7
2793
8
2796
9
2793
q27: Size of the Household
25146
0
1
42
q1901: Has asked for any loan, credit?
25146
0
1
yes
5545
2
no
19601
q1902: Has any been approved?
5544
19602
1
yes
5320
2
no
224
Sysmiss
19602
q1903: Main reason why was not approved
222
24924
1
LACK OF COLLATERALS
32
2
LACK OF ADEQUATE SECURITY
28
3
HOUSEHOLD INCOME IS TOO LOW
40
4
NOT ENTITLED
20
5
OTHER (SPECIFY: ___________________)
102
Sysmiss
24924
q1906: Any outstanding loan or credit?
25125
21
1
YES
6755
2
no
18370
Sysmiss
21
q1904_1: Main purposes (first)
5541
19605
1
HOUSEHOLD CONSUMABLE NEEDS
1471
2
EMERGENCY: SICKNESS, FIRE, FLOOD, THEFT, INJURY
434
3
CEREMONIAL: WEDDING, FUNERAL, …
386
4
HOUSE MAINTENANCE
346
5
BUY LAND TO BUILD A HOUSE
140
6
BUILD HOUSE
1140
7
BUY HOUSE
166
8
BUY LONG-LIFE CONSUMABLE COMMODITY
971
9
PAY BACK EXISTING LOANS
227
10
other
260
Sysmiss
19605
q1904_2: Main purposes (second)
1373
23773
1
HOUSEHOLD CONSUMABLE NEEDS
296
2
EMERGENCY: SICKNESS, FIRE, FLOOD, THEFT, INJURY
210
3
CEREMONIAL: WEDDING, FUNERAL, …
66
4
HOUSE MAINTENANCE
107
5
BUY LAND TO BUILD A HOUSE
18
6
BUILD HOUSE
103
7
BUY HOUSE
10
8
BUY LONG-LIFE CONSUMABLE COMMODITY
345
9
PAY BACK EXISTING LOANS
175
10
other
43
Sysmiss
23773
q1904_3: Main purposes (third)
326
24820
1
HOUSEHOLD CONSUMABLE NEEDS
53
2
EMERGENCY: SICKNESS, FIRE, FLOOD, THEFT, INJURY
35
3
CEREMONIAL: WEDDING, FUNERAL, …
12
4
HOUSE MAINTENANCE
23
5
BUY LAND TO BUILD A HOUSE
4
6
BUILD HOUSE
12
7
BUY HOUSE
1
8
BUY LONG-LIFE CONSUMABLE COMMODITY
67
9
PAY BACK EXISTING LOANS
107
10
other
12
Sysmiss
24820
q1905_1: From whom did you ask (first)
5513
19633
1
RELATIVES IN IRAQ
2679
2
RELATIVES WHO LIVE ABROAD
47
3
FRIENDS/NEIGHBORS
826
4
MONEYLENDER
12
5
TRADER
374
6
LANDLORD
3
7
EMPLOYER
200
8
BANK
1236
9
NGO
51
10
OTHER (SPECIFY:______________________)
85
Sysmiss
19633
q1905_2: From whom did you ask (second)
973
24173
1
RELATIVES IN IRAQ
201
2
RELATIVES WHO LIVE ABROAD
37
3
FRIENDS/NEIGHBORS
440
4
MONEYLENDER
9
5
TRADER
134
6
LANDLORD
3
7
EMPLOYER
50
8
BANK
84
9
NGO
8
10
OTHER (SPECIFY:______________________)
7
Sysmiss
24173
q1905_3: From whom did you ask (third)
129
25017
1
RELATIVES IN IRAQ
16
2
RELATIVES WHO LIVE ABROAD
4
3
FRIENDS/NEIGHBORS
23
4
MONEYLENDER
6
5
TRADER
21
6
LANDLORD
2
7
EMPLOYER
32
8
BANK
17
9
NGO
4
10
OTHER (SPECIFY:______________________)
4
Sysmiss
25017
q1907: Has received assistance?
25128
18
1
yes
13437
2
no
11691
Sysmiss
18
q1908_1: Donating entity (1)
13429
11717
1
GOVERNMENTAL SOURCES
582
2
SOCIAL PROTECTION NETWORK
7437
3
PRIVATE SECTOR ESTABLISHMENTS
42
4
FOREIGN ORGANIZATIONS
27
5
RELATIVES INSIDE IRAQ
4671
6
RELATIVES OUTSIDE IRAQ
222
7
OTHER THAN RELATIVES INSIDE IRAQ
370
8
OTHER SOURCES
78
Sysmiss
11717
q1908_2: Donating entity (2)
4418
20728
1
GOVERNMENTAL SOURCES
98
2
SOCIAL PROTECTION NETWORK
1999
3
PRIVATE SECTOR ESTABLISHMENTS
30
4
FOREIGN ORGANIZATIONS
10
5
RELATIVES INSIDE IRAQ
1468
6
RELATIVES OUTSIDE IRAQ
160
7
OTHER THAN RELATIVES INSIDE IRAQ
575
8
OTHER SOURCES
78
Sysmiss
20728
q1908_3: Donating entity (3)
804
24342
1
GOVERNMENTAL SOURCES
10
2
SOCIAL PROTECTION NETWORK
427
3
PRIVATE SECTOR ESTABLISHMENTS
4
4
FOREIGN ORGANIZATIONS
1
5
RELATIVES INSIDE IRAQ
98
6
RELATIVES OUTSIDE IRAQ
35
7
OTHER THAN RELATIVES INSIDE IRAQ
142
8
OTHER SOURCES
87
Sysmiss
24342
Questionnaire Identifier
578330
0
110100011
350728329
Stratum
578330
0
1101
3507
1101
4945
1102
4968
1103
4945
1104
4968
1105
4968
1106
4968
1107
4968
1201
4968
1203
4968
1204
4968
1205
4968
1206
4968
1208
4853
1209
4968
1301
4416
1302
4715
1303
4669
1304
4807
1305
4807
1306
4692
1307
4554
1308
4600
1309
4807
1310
4738
1311
4876
1312
4807
1313
4807
1314
4715
1315
4899
1316
4807
1401
4945
1402
4761
1403
4347
1404
4968
1501
4962
1502
4945
1503
4968
1504
4876
1505
4945
1506
4968
1508
4945
1509
4968
1510
4876
1511
4968
2101
4692
2102
4899
2103
4899
2104
4968
2105
4853
2106
4945
2201
4968
2202
4968
2203
4968
2204
4945
2205
4899
2206
4968
2207
4899
2208
4899
2301
4945
2302
4968
2303
4968
2304
4968
2305
4922
2306
4945
2307
4922
2308
4945
2309
4877
2310
4968
2401
4968
2402
4945
2403
4968
2405
4968
2501
4623
2502
4738
2503
4715
2601
4945
2602
4922
2603
4945
2604
4968
2605
4945
2606
4968
2701
4922
2702
4968
2703
4968
2704
4807
2705
4968
2706
4945
2707
4968
2708
4945
2801
4922
2802
4968
2803
4968
3101
4968
3102
4968
3104
4922
3105
4876
3201
4968
3202
4968
3203
4922
3204
4968
3301
4945
3302
4945
3303
4968
3304
4968
3305
4968
3401
4945
3402
4945
3403
4922
3404
4945
3405
4922
3406
4945
3501
4922
3502
4922
3503
4968
3504
4968
3505
4968
3506
4945
3507
4945
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
578330
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
578330
0
0
5739.253
Weight for the analysis of time-use data
578330
0
0
7858.94
Weight for the analysis of food consumption by recall
578330
0
14.039
6903.901
q6: Governorate
578330
0
0
Test
0
11
DUHOK
31004
12
NAINAWA
43355
13
SULAIMANIYA
75716
14
KIRKUK
19021
15
ERBIL
44453
21
DIYALA
29256
22
ANBAR
39514
23
BAGHDAD
49428
24
BABYLON
19849
25
KERBELA
14076
26
WASIT
29693
27
SALAH AL-DEEN
39491
28
NAJAF
14858
31
QADISIYA
19734
32
MUTHANNA
19826
33
THI-QAR
24794
34
MAYSAN
29624
35
BASRAH
34638
q7: Qadha
578330
0
0
Test
0
1
01
87969
2
02
81443
3
03
83076
4
04
74014
5
05
67321
6
06
54257
7
07
30912
8
08
29187
9
09
19620
10
10
14582
11
11
9844
12
12
6877
13
13
4807
14
14
4715
15
15
4899
16
16
4807
cluster: Cluster serial
578330
0
1
2832
hh: Household Number
578330
0
1
64463
2
64354
3
64032
4
64423
5
64331
6
63963
7
64239
8
64286
9
64239
q27: Size of the Household
578330
0
1
42
Shock code
578329
1
1
Drought
25145
2
Loss of asset or livestock due to theft/accident/death
25145
3
Unusually high level of livestock disease
25145
4
Reduced agricultural water quality and availability
25145
5
Unusually high level of crop pests and diseases
25145
6
Reduced availability of grazing areas
25145
7
Sudden outbreak of violence
25145
8
Public protests/riots
25145
9
Influx of refugees and IDPs
25145
10
Forced eviction and/or freezing of assets
25145
11
Police harassment
25145
12
Unexpected loss of job
25145
13
Involuntary reduction in hours of employment
25145
14
Non-payment or delay in payment of income
25145
15
Cut-off or decrease in remittances to household
25145
16
Death of a household member
25145
17
Serious injury or illness to household member
25145
18
Reduced drinking water quality and availability
25144
19
Unusually high level of human disease
25144
20
Break-up of household
25144
21
Unusually high prices of food and other essential commodities
25144
22
Loss of rations
25144
23
Loss of assistance from government (exclude PDS)
25144
Sysmiss
1
q2001: Has hh experience..?
578329
1
1
yes
8812
2
no
569517
Sysmiss
1
q2002_1: Did increase/decrease income?
8812
569518
1
INCREASE
191
2
DECREASE
7259
3
DID NOT CHANGE
1362
Sysmiss
569518
q2002_2: Did increase/decrease assets?
8812
569518
1
INCREASE
91
2
DECREASE
4507
3
DID NOT CHANGE
4214
Sysmiss
569518
q2002_3: Did increase/decrease food production?
8812
569518
1
INCREASE
103
2
DECREASE
4236
3
DID NOT CHANGE
4473
Sysmiss
569518
q2002_4: Did increase/decrease food stock?
8812
569518
1
INCREASE
82
2
DECREASE
4994
3
DID NOT CHANGE
3736
Sysmiss
569518
q2002_5: Did increase/decrease food purchases?
8812
569518
1
INCREASE
960
2
DECREASE
5485
3
DID NOT CHANGE
2367
Sysmiss
569518
q2003_1: Response to shock (1)
8812
569518
1
RELIED ON OWN SAVINGS
2954
2
RECEIVED HELP FROM RELATIVES/FRIENDS
710
3
RECEIVED HELP FROM GOVERNMENT
48
4
RECEIVED HELP FROM NG0/CHARITY/RELIGIOUS ORGANIZATION
24
5
REDUCED QUANTITY OF FOOD
968
6
REDUCED QUALITY AND VARIETY OF FOOD
511
7
REDUCED EXPENDITURES ON HEALTH/EDUCATION
92
8
EMPLOYED HOUSEHOLD MEMBERS TOOK ON MORE WORK
216
9
HOUSEHOLD MEMBERS WHO WERE PREVIOUSLY NOT WORKING HAD TO FIND WORK
86
10
HOUSEHOLD MEMBERS MIGRATED
59
11
LOANS FROM RELATIVES/FRIENDS
573
12
LOANS FROM EMPLOYER/MONEYLENDERS/TRADERS/NGO
33
13
PURCHASED FOOD ON CREDIT FROM TRADERS
347
14
SOLD AGRICULTURAL ASSETS
47
15
SOLD DURABLE ASSETS
61
16
SOLD LAND/BUILDING
20
17
SOLD CROP
47
18
SOLD LIVESTOCK
217
19
SENT CHILDREN TO LIVE ELSEWHERE
3
20
Did not do anything
1796
Sysmiss
569518
q2003_2: Response to shock (2)
4845
573485
1
RELIED ON OWN SAVINGS
329
2
RECEIVED HELP FROM RELATIVES/FRIENDS
563
3
RECEIVED HELP FROM GOVERNMENT
34
4
RECEIVED HELP FROM NG0/CHARITY/RELIGIOUS ORGANIZATION
30
5
REDUCED QUANTITY OF FOOD
1085
6
REDUCED QUALITY AND VARIETY OF FOOD
899
7
REDUCED EXPENDITURES ON HEALTH/EDUCATION
80
8
EMPLOYED HOUSEHOLD MEMBERS TOOK ON MORE WORK
319
9
HOUSEHOLD MEMBERS WHO WERE PREVIOUSLY NOT WORKING HAD TO FIND WORK
149
10
HOUSEHOLD MEMBERS MIGRATED
20
11
LOANS FROM RELATIVES/FRIENDS
492
12
LOANS FROM EMPLOYER/MONEYLENDERS/TRADERS/NGO
21
13
PURCHASED FOOD ON CREDIT FROM TRADERS
368
14
SOLD AGRICULTURAL ASSETS
37
15
SOLD DURABLE ASSETS
69
16
SOLD LAND/BUILDING
22
17
SOLD CROP
42
18
SOLD LIVESTOCK
150
19
SENT CHILDREN TO LIVE ELSEWHERE
6
20
Did not do anything
130
Sysmiss
573485
q2003_3: Response to shock (3)
3175
575155
1
RELIED ON OWN SAVINGS
112
2
RECEIVED HELP FROM RELATIVES/FRIENDS
108
3
RECEIVED HELP FROM GOVERNMENT
11
4
RECEIVED HELP FROM NG0/CHARITY/RELIGIOUS ORGANIZATION
13
5
REDUCED QUANTITY OF FOOD
240
6
REDUCED QUALITY AND VARIETY OF FOOD
699
7
REDUCED EXPENDITURES ON HEALTH/EDUCATION
78
8
EMPLOYED HOUSEHOLD MEMBERS TOOK ON MORE WORK
223
9
HOUSEHOLD MEMBERS WHO WERE PREVIOUSLY NOT WORKING HAD TO FIND WORK
133
10
HOUSEHOLD MEMBERS MIGRATED
29
11
LOANS FROM RELATIVES/FRIENDS
239
12
LOANS FROM EMPLOYER/MONEYLENDERS/TRADERS/NGO
10
13
PURCHASED FOOD ON CREDIT FROM TRADERS
655
14
SOLD AGRICULTURAL ASSETS
38
15
SOLD DURABLE ASSETS
64
16
SOLD LAND/BUILDING
27
17
SOLD CROP
32
18
SOLD LIVESTOCK
145
19
SENT CHILDREN TO LIVE ELSEWHERE
6
20
Did not do anything
313
Sysmiss
575155
q2004: Has recovered from shocks?
145400
432930
1
NOT RECOVERED AT ALL
43562
2
PARTIALLY RECOVERED
74928
3
FULLY RECOVERED
26910
Sysmiss
432930
q2005: Nb of times having problems food needs
578238
92
1
NEVER
269992
2
RARELY (1 TO 2 TIMES)
105386
3
SOMETIMES (3 TO 6 TIMES)
88435
4
OFTEN (A FEW TIMES EVERY MONTH)
58259
5
MOSTLY (THIS HAPPENS A LOT)
56166
Sysmiss
92
q2006: Compare economic situation with 1 yr ago
578238
92
1
MUCH WORSE
26887
2
SLIGHTLY WORSE
97974
3
SAME
297621
4
SLIGHTLY BETTER
140691
5
MUCH BETTER
15065
Sysmiss
92
Questionnaire Identifier
176042
0
110100011
350728329
Stratum
176042
0
1101
3507
1101
1500
1102
1785
1103
1603
1104
1397
1105
1824
1106
1735
1107
1767
1201
1516
1203
1620
1204
1719
1205
1492
1206
1945
1208
1691
1209
1819
1301
880
1302
1117
1303
1058
1304
1133
1305
978
1306
1062
1307
916
1308
842
1309
1127
1310
1111
1311
1132
1312
1052
1313
1096
1314
1091
1315
1151
1316
1095
1401
1310
1402
1992
1403
1269
1404
1430
1501
1170
1502
1207
1503
1251
1504
1103
1505
1193
1506
1085
1508
1244
1509
1454
1510
1057
1511
1301
2101
1300
2102
1372
2103
1258
2104
1130
2105
1263
2106
1332
2201
1819
2202
1773
2203
1909
2204
1673
2205
1877
2206
1628
2207
1706
2208
1536
2301
1228
2302
1381
2303
1421
2304
1350
2305
1203
2306
1325
2307
1409
2308
1734
2309
1493
2310
1393
2401
1436
2402
1850
2403
1682
2405
1574
2501
1273
2502
1277
2503
1424
2601
1503
2602
1653
2603
1843
2604
1477
2605
1685
2606
1737
2701
1501
2702
1460
2703
1596
2704
1641
2705
1658
2706
1591
2707
1599
2708
1829
2801
1510
2802
1689
2803
1704
3101
1549
3102
1665
3104
1552
3105
1744
3201
1628
3202
1915
3203
1994
3204
2024
3301
1501
3302
1624
3303
1516
3304
1659
3305
1490
3401
1716
3402
1751
3403
1864
3404
1889
3405
1793
3406
1859
3501
1506
3502
1579
3503
1686
3504
1836
3505
1442
3506
1538
3507
1697
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
176042
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
176042
0
0
5739.253
Weight for the analysis of time-use data
176042
0
0
7858.94
Weight for the analysis of food consumption by recall
176042
0
14.039
6903.901
q6: Governorate
176042
0
0
Test
0
11
DUHOK
10212
12
NAINAWA
14502
13
SULAIMANIYA
16841
14
KIRKUK
6001
15
ERBIL
10764
21
DIYALA
7655
22
ANBAR
13921
23
BAGHDAD
13937
24
BABYLON
6542
25
KERBELA
3974
26
WASIT
9898
27
SALAH AL-DEEN
12875
28
NAJAF
4903
31
QADISIYA
6510
32
MUTHANNA
7561
33
THI-QAR
7790
34
MAYSAN
10872
35
BASRAH
11284
q7: Qadha
176042
0
0
Test
0
1
01
25846
2
02
26314
3
03
26698
4
04
23013
5
05
20593
6
06
16837
7
07
9717
8
08
8876
9
09
5893
10
10
3561
11
11
2433
12
12
1828
13
13
1096
14
14
1091
15
15
1151
16
16
1095
cluster: Cluster serial
176042
0
1
2832
hh: Household Number
176042
0
1
19196
2
19614
3
19703
4
19630
5
19942
6
19466
7
19250
8
19670
9
19571
q27: Size of the Household
176042
0
1
42
ID CODE
176042
0
1
42
1
25146
2
24891
3
23689
4
22125
5
19343
6
15846
7
12050
8
8943
9
6507
10
4635
11
3294
12
2433
13
1796
14
1341
15
1019
16
754
17
562
18
410
19
267
20
214
21
167
22
128
23
94
24
78
25
68
26
52
27
40
28
33
29
28
30
23
31
17
32
13
33
9
34
6
35
6
36
3
37
3
38
3
39
3
40
1
41
1
42
1
q2101: Id code of respondent
41651
134391
1
32
q2102_a_h: Average nb hours in household chores ... (hours)
41650
134392
0
18434
1
3630
2
4235
3
4229
4
4662
5
3075
6
2114
7
562
8
506
9
54
10
130
11
4
12
15
Sysmiss
134392
q2102_a_m: Average nb hours in household chores ... (minutes)
41650
134392
0
56
41650
134392
0
23369
1
5324
2
5697
3
3564
4
2239
5
889
6
394
7
62
8
64
9
12
10
26
12
9
20
1
Sysmiss
134392
41650
134392
0
55
q2102_c_h: Average nb hours Work... (hours)
41650
134392
0
25
q2102_c_m: Average nb hours Work... (minutes)
41650
134392
0
58
q2102_d_h: Average nb hours Commuting to and from work... (hours)
41650
134392
0
38276
1
2486
2
568
3
171
4
72
5
24
6
17
7
8
8
9
9
5
10
11
12
3
Sysmiss
134392
q2102_d_m: Average nb hours Commuting to and from work... (minutes)
41650
134392
0
60
q2102_e_h: Average nb hours School / studying / doing homework / private lessons
41648
134394
0
33962
1
143
2
461
3
784
4
1105
5
1378
6
1405
7
994
8
917
9
214
10
223
11
22
12
25
13
6
14
9
Sysmiss
134394
q2102_e_m: Average nb hours School / studying / doing homework / private lessons
41650
134392
0
50
q2102_f_h: Average nb hours Commuting to and from school... (hours)
41650
134392
0
40294
1
999
2
166
3
46
4
66
5
24
6
34
7
6
8
3
9
1
10
9
12
2
Sysmiss
134392
q2102_f_m: Average nb hours Commuting to and from school... (minutes)
41648
134394
0
50
q2102_g_h: Average nb hours Shopping and buying for the household... (hours)
41650
134392
0
24799
1
7931
2
5735
3
2234
4
714
5
164
6
49
7
17
8
3
9
2
10
2
Sysmiss
134392
q2102_g_m: Average nb hours Shopping and buying for the household... (minutes)
41650
134392
0
57
q2102_h_h: Average nb hours Internet (outside work or school)... (hours)
41650
134392
0
40257
1
470
2
430
3
175
4
128
5
88
6
38
7
31
8
19
9
1
10
10
12
1
14
2
Sysmiss
134392
q2102_h_m: Average nb hours Internet (outside work or school)... (minutes)
41649
134393
0
50
q2102_i_h: Average nb hours Watching TV... (hours)
41650
134392
0
1097
1
2305
2
6158
3
7720
4
8881
5
6780
6
4728
7
1738
8
1425
9
427
10
318
11
24
12
38
13
7
14
2
20
2
Sysmiss
134392
q2102_i_m: Average nb hours Watching TV... (minutes)
41650
134392
0
55
q2102_j_h: Average nb hours Religious activities... (hours)
41650
134392
0
15944
1
18283
2
5774
3
1091
4
382
5
110
6
32
7
12
8
7
9
8
10
4
12
2
14
1
Sysmiss
134392
q2102_j_m: Average nb hours Religious activities... (minutes)
41649
134393
0
58
q2102_k_h: Average nb hours Sports and Hobbies... (hours)
41650
134392
0
31162
1
3519
2
3606
3
1719
4
881
5
426
6
199
7
49
8
54
9
16
10
13
11
3
12
2
13
1
Sysmiss
134392
q2102_k_m: Average nb hours Sports and Hobbies... (minutes)
41650
134392
0
50
q2102_l_h: Average nb hours Reading not related to work or study... (hours)
41650
134392
0
37742
1
2153
2
1253
3
334
4
114
5
31
6
7
7
11
8
3
9
1
10
1
Sysmiss
134392
q2102_l_m: Average nb hours Reading not related to work or study... (minutes)
41650
134392
0
50
Questionnaire Identifier
527587
0
110100011
350728329
Stratum
527587
0
1101
3507
1101
4510
1102
4534
1103
4512
1104
4531
1105
4533
1106
4535
1107
4536
1201
4536
1203
4536
1204
4536
1205
4534
1206
4533
1208
4428
1209
4535
1301
4024
1302
4305
1303
4257
1304
4386
1305
4388
1306
4261
1307
4151
1308
4200
1309
4386
1310
4321
1311
4450
1312
4386
1313
4355
1314
4303
1315
4472
1316
4388
1401
4514
1402
4347
1403
3968
1404
4520
1501
4532
1502
4506
1503
4530
1504
4448
1505
4508
1506
4533
1508
4510
1509
4527
1510
4450
1511
4531
2101
4281
2102
4471
2103
4461
2104
4534
2105
4430
2106
4514
2201
4536
2202
4536
2203
4535
2204
4493
2205
4472
2206
4530
2207
4471
2208
4471
2301
4492
2302
4533
2303
4532
2304
4536
2305
4494
2306
4514
2307
4494
2308
4505
2309
4469
2310
4536
2401
4536
2402
4510
2403
4533
2405
4524
2501
4220
2502
4325
2503
4300
2601
4514
2602
4492
2603
4511
2604
4535
2605
4515
2606
4532
2701
4492
2702
4514
2703
4535
2704
4387
2705
4535
2706
4505
2707
4535
2708
4507
2801
4494
2802
4535
2803
4516
3101
4533
3102
4530
3104
4494
3105
4451
3201
4536
3202
4536
3203
4491
3204
4535
3301
4510
3302
4514
3303
4530
3304
4529
3305
4536
3401
4508
3402
4509
3403
4494
3404
4511
3405
4493
3406
4511
3501
4492
3502
4491
3503
4535
3504
4534
3505
4534
3506
4509
3507
4513
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
527587
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
527587
0
0
5739.253
Weight for the analysis of time-use data
527587
0
0
7858.94
Weight for the analysis of food consumption by recall
527587
0
14.039
6903.901
q6: Governorate
527587
0
0
Test
0
11
DUHOK
28291
12
NAINAWA
39569
13
SULAIMANIYA
69033
14
KIRKUK
17349
15
ERBIL
40544
21
DIYALA
26691
22
ANBAR
36044
23
BAGHDAD
45105
24
BABYLON
18103
25
KERBELA
12845
26
WASIT
27099
27
SALAH AL-DEEN
36010
28
NAJAF
13545
31
QADISIYA
18008
32
MUTHANNA
18098
33
THI-QAR
22619
34
MAYSAN
27026
35
BASRAH
31608
q7: Qadha
527587
0
0
Test
0
1
01
80260
2
02
74299
3
03
75776
4
04
67509
5
05
61436
6
06
49477
7
07
28211
8
08
26621
9
09
17917
10
10
13307
11
11
8981
12
12
6275
13
13
4355
14
14
4303
15
15
4472
16
16
4388
cluster: Cluster serial
527587
0
1
2832
hh: Household Number
527587
0
1
58787
2
58683
3
58434
4
58777
5
58679
6
58336
7
58623
8
58672
9
58596
q27: Size of the Household
527587
0
1
42
Justice case id
527587
0
1
Real-estate Lease Law
25130
2
Property disputes, real-estate registration cases, land acquisition (expropriation)
25137
3
Compensation
25132
4
Disputes related to businesses and taxes
25137
5
Traffic accident
25133
6
Physical abuse
25135
7
Domestic violence
25129
8
Forgery
25125
9
Destruction of private property
25135
10
Destruction of public property
25137
11
Bribery
25131
12
Kidnapping
25113
13
Drug abuse
25125
14
Sexual assault
25127
15
Disturbance of public peace
25132
16
Murder
25124
17
Theft
25044
18
Divorce
25121
19
Alimony
25115
20
Inheritance
25116
21
Other (SPECIFY)
25109
527587
0
1
YES
3616
2
no
523971
q2202: Who was primary party this dispute was with?
3616
523971
1
FAMILY MEMBER
1048
2
EMPLOYER / LANDLORD
117
3
OTHER INDIVIDUAL(S)
1905
4
LOCAL AUTHORITY
187
5
PROVINCIAL OR NATIONAL GOVERNMENT
127
6
OTHER
232
Sysmiss
523971
q2203: Did you seek legal / official help in resolving this dispute?
3616
523971
1
yes
1423
2
no
2193
Sysmiss
523971
q2204: Why you did not ask for legal / official help?
2196
525391
1
SOLVED THROUGH THE MEDIATION OF THE TRIBAL SYSTEM
688
2
SOLVED THROUGH DIRECT NEGOTIATION WITH OTHER PARTY
555
3
SOLVED THROUGH THE MEDIATION OF RELATIVES / NEIGHBORS / FRIENDS
121
4
IT WOULD TAKE TOO MUCH TIME
37
5
IT WOULD COST TOO MUCH MONEY
40
6
OTHER PARTY IS MORE POWERFUL THAN I AM, NO CHANCE OF WINNING
135
7
AFRAID PURSUING WOULD LEAD TO VIOLENCE
32
8
DID NOT HAVE EVIDENCE
267
9
IT WOULD CAUSE PROBLEMS FOR ME AND MY FAMILY
169
10
OTHER, SPECIFY: _________________________________________
152
Sysmiss
525391
q2205: Who did you ask for legal / official help?
1423
526164
1
POLICE
494
2
LAWYER
249
3
COURT
559
4
MEDIA
3
5
MUNICIPALITY
62
6
PARLAMENT
6
7
OTHER
50
Sysmiss
526164
Questionnaire Identifier
176042
0
110100011
350728329
Stratum
176042
0
1101
3507
1101
1500
1102
1785
1103
1603
1104
1397
1105
1824
1106
1735
1107
1767
1201
1516
1203
1620
1204
1719
1205
1492
1206
1945
1208
1691
1209
1819
1301
880
1302
1117
1303
1058
1304
1133
1305
978
1306
1062
1307
916
1308
842
1309
1127
1310
1111
1311
1132
1312
1052
1313
1096
1314
1091
1315
1151
1316
1095
1401
1310
1402
1992
1403
1269
1404
1430
1501
1170
1502
1207
1503
1251
1504
1103
1505
1193
1506
1085
1508
1244
1509
1454
1510
1057
1511
1301
2101
1300
2102
1372
2103
1258
2104
1130
2105
1263
2106
1332
2201
1819
2202
1773
2203
1909
2204
1673
2205
1877
2206
1628
2207
1706
2208
1536
2301
1228
2302
1381
2303
1421
2304
1350
2305
1203
2306
1325
2307
1409
2308
1734
2309
1493
2310
1393
2401
1436
2402
1850
2403
1682
2405
1574
2501
1273
2502
1277
2503
1424
2601
1503
2602
1653
2603
1843
2604
1477
2605
1685
2606
1737
2701
1501
2702
1460
2703
1596
2704
1641
2705
1658
2706
1591
2707
1599
2708
1829
2801
1510
2802
1689
2803
1704
3101
1549
3102
1665
3104
1552
3105
1744
3201
1628
3202
1915
3203
1994
3204
2024
3301
1501
3302
1624
3303
1516
3304
1659
3305
1490
3401
1716
3402
1751
3403
1864
3404
1889
3405
1793
3406
1859
3501
1506
3502
1579
3503
1686
3504
1836
3505
1442
3506
1538
3507
1697
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
176042
0
4.995
1469.055
Weight for the analysis of adult anthropometrics
176042
0
0
5739.253
Weight for the analysis of time-use data
176042
0
0
7858.94
Weight for the analysis of food consumption by recall
176042
0
14.039
6903.901
q6: Governorate
176042
0
0
Test
0
11
DUHOK
10212
12
NAINAWA
14502
13
SULAIMANIYA
16841
14
KIRKUK
6001
15
ERBIL
10764
21
DIYALA
7655
22
ANBAR
13921
23
BAGHDAD
13937
24
BABYLON
6542
25
KERBELA
3974
26
WASIT
9898
27
SALAH AL-DEEN
12875
28
NAJAF
4903
31
QADISIYA
6510
32
MUTHANNA
7561
33
THI-QAR
7790
34
MAYSAN
10872
35
BASRAH
11284
q7: Qadha
176042
0
0
Test
0
1
01
25846
2
02
26314
3
03
26698
4
04
23013
5
05
20593
6
06
16837
7
07
9717
8
08
8876
9
09
5893
10
10
3561
11
11
2433
12
12
1828
13
13
1096
14
14
1091
15
15
1151
16
16
1095
cluster: Cluster serial
176042
0
1
2832
hh: Household Number
176042
0
1
19196
2
19614
3
19703
4
19630
5
19942
6
19466
7
19250
8
19670
9
19571
q27: Size of the Household
176042
0
1
42
ID CODE
176042
0
1
42
q901: Respondent ID code
100974
75068
1
37
q902_1: How satisfied or unsatisfied are you with your food
100970
75072
1
VERY SATISFIED
41063
2
FAIRLY SATISFIED
45329
3
NOT VERY SATISFIED
10917
4
NOT AT ALL SATISFIED
3466
5
DO NOT KNOW/NO ANSWER
195
Sysmiss
75072
q902_2: How satisfied or unsatisfied are you with your housing
100970
75072
1
VERY SATISFIED
29291
2
FAIRLY SATISFIED
33832
3
NOT VERY SATISFIED
19660
4
NOT AT ALL SATISFIED
17976
5
DO NOT KNOW/NO ANSWER
211
Sysmiss
75072
q902_3: How satisfied or unsatisfied are you with your health
100970
75072
1
VERY SATISFIED
16749
2
FAIRLY SATISFIED
36135
3
NOT VERY SATISFIED
22993
4
NOT AT ALL SATISFIED
17067
5
DO NOT KNOW/NO ANSWER
8026
Sysmiss
75072
q902_4: How satisfied or unsatisfied are you with your local security level
100970
75072
1
VERY SATISFIED
42846
2
FAIRLY SATISFIED
39376
3
NOT VERY SATISFIED
12137
4
NOT AT ALL SATISFIED
6182
5
DO NOT KNOW/NO ANSWER
429
Sysmiss
75072
q902_5: How satisfied or unsatisfied are you with your food
100970
75072
1
VERY SATISFIED
19166
2
FAIRLY SATISFIED
31683
3
NOT VERY SATISFIED
16662
4
NOT AT ALL SATISFIED
14919
5
DO NOT KNOW/NO ANSWER
18540
Sysmiss
75072
q902_6: How satisfied or unsatisfied are you with your education
100970
75072
1
VERY SATISFIED
58116
2
FAIRLY SATISFIED
31538
3
NOT VERY SATISFIED
7040
4
NOT AT ALL SATISFIED
3763
5
DO NOT KNOW/NO ANSWER
513
Sysmiss
75072
q902_7: How satisfied or unsatisfied are you with the freedom of choice you have
100970
75072
1
VERY SATISFIED
23397
2
FAIRLY SATISFIED
36765
3
NOT VERY SATISFIED
13672
4
NOT AT ALL SATISFIED
9903
5
DO NOT KNOW/NO ANSWER
17233
Sysmiss
75072
q902_8: How satisfied or unsatisfied are you with the freedom of choice you have
100968
75074
1
VERY SATISFIED
52921
2
FAIRLY SATISFIED
38581
3
NOT VERY SATISFIED
6662
4
NOT AT ALL SATISFIED
1811
5
DO NOT KNOW/NO ANSWER
993
Sysmiss
75074
q902_9: How satisfied or unsatisfied are you with the control you have over your
100968
75074
1
VERY SATISFIED
53778
2
FAIRLY SATISFIED
38960
3
NOT VERY SATISFIED
5957
4
NOT AT ALL SATISFIED
1383
5
DO NOT KNOW/NO ANSWER
890
Sysmiss
75074
q902_10: How satisfied or unsatisfied are you with the trust and acceptance you
100967
75075
1
VERY SATISFIED
43121
2
FAIRLY SATISFIED
46375
3
NOT VERY SATISFIED
8242
4
NOT AT ALL SATISFIED
2654
5
DO NOT KNOW/NO ANSWER
575
Sysmiss
75075
q902_11: How satisfied or unsatisfied are you with your life overall
100968
75074
1
VERY SATISFIED
22646
2
FAIRLY SATISFIED
58300
3
NOT VERY SATISFIED
14743
4
NOT AT ALL SATISFIED
4893
5
DO NOT KNOW/NO ANSWER
386
Sysmiss
75074
q2303: How would asses hh situation
100969
75073
1
Good
12763
2
Satisfactory/Middle
60555
3
Poor
22791
4
Very poor
4860
Sysmiss
75073
Questionnaire Identifier
24944
0
110100011
350728329
cluster: Cluster serial
24944
0
1
2832
q7: Qadha
24944
0
0
Test
0
1
01
3809
2
02
3517
3
03
3579
4
04
3194
5
05
2908
6
06
2345
7
07
1321
8
08
1248
9
09
833
10
10
632
11
11
426
12
12
298
13
13
209
14
14
203
15
15
213
16
16
209
Stratum
24944
0
1101
3507
1101
215
1102
214
1103
215
1104
216
1105
216
1106
215
1107
216
1201
215
1203
215
1204
216
1205
206
1206
213
1208
207
1209
200
1301
192
1302
203
1303
203
1304
209
1305
209
1306
204
1307
197
1308
199
1309
208
1310
206
1311
210
1312
209
1313
209
1314
203
1315
213
1316
209
1401
215
1402
207
1403
188
1404
216
1501
216
1502
215
1503
216
1504
212
1505
214
1506
214
1508
215
1509
213
1510
211
1511
216
2101
203
2102
213
2103
213
2104
216
2105
211
2106
215
2201
216
2202
215
2203
216
2204
213
2205
213
2206
216
2207
209
2208
200
2301
213
2302
216
2303
216
2304
215
2305
213
2306
213
2307
205
2308
214
2309
212
2310
215
2401
216
2402
215
2403
214
2405
216
2501
201
2502
205
2503
202
2601
212
2602
211
2603
211
2604
216
2605
214
2606
215
2701
209
2702
216
2703
216
2704
208
2705
216
2706
210
2707
216
2708
213
2801
213
2802
214
2803
212
3101
216
3102
208
3104
213
3105
208
3201
214
3202
216
3203
203
3204
215
3301
215
3302
213
3303
216
3304
211
3305
215
3401
214
3402
212
3403
209
3404
213
3405
214
3406
215
3501
214
3502
213
3503
214
3504
205
3505
215
3506
215
3507
206
Weight (Inverse of the selection probability, adjusted to match qadha-wise popul
24944
0
4.995
1469.055
q6: Governorate
24944
0
11
Duhouk
1346
12
Nineveh
1849
13
Suleimaniya
3283
14
Karkouk
826
15
Erbil
1926
21
Diala
1271
22
Al-Anbar
1698
23
Baghdad
2132
24
Babil
861
25
Kerbala
608
26
Wasit
1279
27
Salahuddin
1704
28
Al-Najaf
639
31
Al-Qadisiya
845
32
Al-Muthanna
848
33
Thi-Qar
1070
34
Missan
1277
35
Basrah
1482
q27: Size of the Household
24944
0
1
42
Total expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
19.025
3237.427
Ration Food expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
0
136.073
Non-ration Food expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
0
3050.692
Food expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
1.946
3062.733
Liquid and Tobacco expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
0
396.398
Housing expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
0.642
778.769
Utilities expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
0
1225.581
Clothing expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
0
418.86
Household expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
-3.264
488.894
Health expenditure (1,000 ID/person/month) (defl. Paasche) - Not included in pce
24944
0
0
13582.209
Education expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
0
327.373
Transport expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
-9.99e-06
397.603
Communication expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
-4e-07
553.075
Recreation expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
0
1233.56
Other expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
0
235.972
Durables expenditure (1,000 ID/person/month) (defl. Paasche)
24944
0
0.0101
410.638
Expenditure without durables (1,000 ID/person/month) (defl. Paasche)
24944
0
18.104
3234.602
Food Poverty Line (1,000 ID/person/month)
24944
0
50.473
50.473
Poverty Line: Food + Non-Food by region (1,000 ID/person/month)
24944
0
101.676
142.411
Official Poverty Line: Food + National Non-food allowance (1,000 ID/person/month
24944
0
105.5
105.5
Paasche Index
24944
0
0.242
2.281