DDI_WB_LAO_2002_LECS_v01_M
World Bank, Development Economics Data Group
2011-06-13
NADA
Version 1.0: (June 2011)
Expenditure and Consumption Survey 2002-2003
LECS3 2002-03
LAO_2002_LECS_v01_M
National Statistics Centre (NSC)
Statistics Sweden
NADA
Swedish International Development Agency
Deputy Director
Income/Expenditure/Household Survey [hh/ies]
The 2002-2003 Expenditure and Consumption Survey (LECS III) is the third LECS survey conducted in Lao PDR. The first and second LECS were conducted in 1992-1993 and 1997-1998.
The Lao Expenditure and Consumption Survey (LECS III) covers the whole of Lao PDR. The statistical unit is the households and the survey covers economic transactions of households to estimate household income, consumption and production and a number of social indicators.
The survey was undertaken from March 2002 to February 2003 (12 months) and it is a survey that NSC plans to conduct every 5 years.
LECS is a multi- purpose survey. Such surveys can be designed in various ways with emphasis on particular issues. In 1992/93 the LECS was combined with a large module of social indicators, Lao Social Indicator Survey (LSIS). The 1997/98 and 2002/03 versions focused on economic activities of the households.
The objectives of the LECS are basically to provide:
- macro estimates for the National Accounts, both private consumption and household investments and income from agriculture and businesses
- the consumption structure (weighing system) for the Consumer Price Index (CPI)
- estimates of labor force
- statistics on access to services
- statistics on nutrition
- statistics on poverty and income distribution
The LECS 3 sample was made up of 8,100 households from 540 villages, 15 households from each, enumerated over 12 months starting 1st of March 2002 and ending 28th of February 2003. The sample was selected using the NSC village list as a sampling frame.
Lao PDR
National
- Households
- Individuals
- Villages/ Communities
Sample survey data [ssd]
The 2002-2003 Lao Expenditure and Consumption Survey (LECS III) covered the following topics:
VILLAGE
- Organizations, Services
- General Economic Conditions
- Land and Land Use in the Village
- Infrastructure
- Education
- Health Care
- Agriculture
- Wages, Prices, Restrictions and House Construction
HOUSEHOLD
- Identification
- Household Roster
· Household composition
· Parents
- Education
- Labor Force
· Labor force participation last seven days
· Overview of work in the last seven days
· Activities in the last twelve months
- Victimization
- Nutrition
- Health
- Household Possession of Durables
- Housing Conditions
- Construction Activities in the Past 12 Months
· Construction of new agricultural buildings
· Construction of new buildings for businesses
- Household Businesses
· Establishing the existence of non-farm enterprises
· Business operations
- Agriculture
· Operated land
· Crops planted and/or harvested last wet and dry seasons
· Crops planted and harvested in next to last season
· Disposition of crops
· Livestock
· Poultry
· Fertilizers and insecticides
· Fishery
· Forestry
- Household's Purchase and Selling of Durables the last 12 Months
- Income and Transfers
- Household's Diary Sheet for Household Transactions
- Time Use
A two-stage sampling scheme was used. At the first stage a sample of villages was selected by PPS sampling. The villages were stratified in the following way. Firstly the villages were divided by province, and secondly into urban villages, rural villages with access to road and rural villages without access to road. In all, the village population was divided into 18 (provinces) x 3 (urban/rural classes) = 54 sampling strata. In LECS 2 the sample was allocated equally over the provinces (25 villages in each village). In LECS 3 the allocation was somewhere in between equal allocation and proportional allocation, the number of sample villages in the province ranging from 12 to 48.
The sample of villages in each province was allocated randomly to a survey month so that each survey month had approximately the same number of sample villages.
In the second stage a systematic sample of 15 households was selected in each sample village. The selection was based on a updated list of households in the villages at the time of the survey. The total number of households was less than 15 in four villages. In those villages all households were selected for the survey.
Face-to-face [f2f]
A large part of the household questionnaire remains the same as in previous surveys, except for some modifications in questions that didn't work well in LECS-2. Some topics, mainly housing, health, agriculture and time use, have been expanded. The household interview is consequently somewhat longer in LECS-3. The new modules/variables are underscored in the list below.
First week interview:
- Household composition (age, sex, relationship to head of household, marital status, ethnic group),
- Parents education (highest level completed),
- Education (literacy, highest level completed, reasons for not attending school),
- Labour force module (work during last week, reasons for not working, activities last 12 months) ,
- Victimization module (whether victim of burglary, robbery, theft, violence).
Second week interview:
- Health check, only children (weight, height),
- Possession of durables (type, value),
- Housing conditions (building material, water, toilet, source of energy forr cooking),
- Construction activities (kind of construction, costs).
Third week interview:
- Household businesses module (sector, number of employees or family members working, sales),
- Agriculture module (crops, areas, production, fertilizers, livestock, fishery, forestry),
- Time use.
Fourth week interview:
- Health module (self-rated health, long-term ilnesses or disabilities, health complaints, visits to health care facilities, use of medicines),
- Purchasing and selling of durables (type of item, value),
- Income and transfers (type of income, type of transfers, value),
- Household borrowing (reasons for borrowing, amount, security, interest rate),
- Household lending (amount, interest rate).
Other questionnaires.
-Three other questionnaires were also administered during the month (new modules/variables are underscored).
- Village questionnaire. A village questionnaire wss administered to the head of the village. The questionnaire covers roads and transport, water, electricity, health facilities, local markets, schools etc.
- Primary school questionnaire. Interviews were made with the school principal and the teachers. Data were collected on pupils, school facilities, management of the school, finances and sources of support. The principal and the teachers were also asked questions about the decision-making in the school.
- Price questionnaire. Collection of local prices on 121 commodities at the village market.
Field Staff, Field Work
The field staff consisted of 180 interviewers organized in 90 two-member teams. 36 supervisors from the provincial statistical offices and 10 central supervisors from head office supervised the teams. The interviewers are permanent staff at the provincial and district statistical offices.
The field work was spread evenly over a 12-month period starting in February 2002, on average 45 villages were visited each month. The teams first duty in the village was to present the survey to the village head and to obtain/prepare a list of households. The team then selected a systematic sample of 15 households according to a predefined procedure.
The completed questionnaires were brought to the provincial statistics office after the survey month and further checked. Data entry was done at NSC in Vientiane.
Each team worked in the field six months during the survey year. The team worked in the villages every second month, the other months they performed other duties in the district or provincial office. Each team thus covered six villages. Transportation to and from villages was done by office vehicles and by public transport (mostly buses). Some of the remote villages required travel by foot for several days.
The Statistics Law of Lao PDR guarantees that identities of respondents are kept confidential.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
Director General
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
Lao PDR National Statistical Centre (NSC). Lao PDR Expenditure and Consumption Survey (LECS3) 2002-2003. Dataset downloaded from [website/source] on [date].
Authorization to use this data is granted to designated individuals in the concerned division of the Department of Statistics (DoS). Under no circumstances shall the authorized user reproduce, distribute, sell or lend the entire data or parts thereof to any other data user apart from himself or that of authorized employees in the DoS.
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.
hh_agriculture1
13404
12
hh_agriculture2
96605
8
hh_agriculture3
12488
12
hh_agriculture4
10532
22
hh_agriculture5
13162
20
hh_agriculture6
12185
16
hh_agriculture7
2335
8
hh_agriculture8
7837
20
hh_agriculture9
8058
17
hh_contruction
7969
51
hh_diary
257641
8
hh_durables
74068
10
hh_household_borrowing
1409
15
hh_household_business
1956
15
hh_household_lending
1208
12
hh_household_purchase
321290
9
hh_household_purchsell
2899
9
hh_housing
8083
22
hh_nutrition2
8074
10
hh_victimization
8072
20
person_education
42019
45
person_health
49757
38
person_health_check
6226
14
person_household_composition
49789
16
person_labour
36580
26
person_nutrition1
49735
15
person_parents
49766
17
person_time_use
194756
9
village_agriculture
537
21
village_economy
537
21
village_education
537
23
village_health
537
37
village_infrastructure
537
34
village_labour
537
44
village_land
537
11
village_location
537
9
village_organization
537
30
village_sampling
540
4
village_weights
8092
7
lecs3pov1
8092
24
povdatabasewb
8092
30
13404
100005
108727
104219.662
2535.312
13404
1
2
13404
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
13404
101
1803
903.494
471.203
13404
101001
1803027
903543.077
471200.676
13404
8.972
320.622
97.455
46.189
13377
27
64001
227.112
1400.428
13376
28
1
2
3
Sysmiss
13355
49
1
2
3
4
5
Sysmiss
13037
367
1
2
3
4
Sysmiss
3495
9909
1
2
Sysmiss
577
12827
1
2
Sysmiss
96605
100005
108727
104593.009
2588.087
96605
1
2
96605
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
96605
101
1803
920.742
461.741
96605
101001
1803027
920792.826
461739.48
96605
8.972
320.622
95.903
45.291
96605
1
77
28.555
19.446
96065
540
1
2
Sysmiss
12488
100005
108727
104177.425
2546.256
12488
1
2
12488
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
12488
101
1803
922.78
461.166
12488
101001
1803027
922829.762
461164.028
12488
8.972
320.622
98.163
45.816
12488
1
2
3
12488
4800
9.319
59.396
12485
3
2000
1.24
21.604
12379
109
5400
2.585
74.565
12301
187
30150
1699.114
1878.983
11987
501
33333
2276.657
2084.188
10532
100005
108727
104533.304
2439.602
10532
1
2
10532
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
10532
101
1803
923.563
456.418
10532
101001
1803027
923611.711
456416.645
10532
8.972
320.622
99.088
46.033
10076
456
2000
2.244
30.104
10070
462
43000
394.218
1476.624
10064
468
10400
88.624
340.367
10062
470
50000
59.535
556.12
10059
473
340000
175.776
5234.564
10053
479
260000
71.019
2601.596
10039
493
8000
21.538
154.858
9999
533
60000
35.562
610.898
9644
888
4000
37.395
129.512
7892
2640
7680
70.732
264.936
5263
5269
21000
106.517
447.044
3001
7531
5250
180.604
480.812
1523
9009
8179
312.941
668.906
614
9918
6500
459.142
727.673
152
10380
5200
619.497
761.953
12
10520
90
2000
653.333
647.77
13162
100005
108727
104407.462
2514.13
13162
1
2
13162
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
13162
101
1803
948.838
461.73
13162
101001
1803027
948889.935
461724.697
13162
8.972
320.622
97.269
46.752
13162
1
2
3
4
5
6
7
8
9
13162
2500000
720.112
29715.747
12062
1100
52000000
787260.031
1630503.491
11805
1357
30000000
7953.314
329563.999
11779
1383
100000000
2333112.469
3790097.838
10638
2524
250164992
39859.186
2451549.139
10490
2672
1000000000
3217324.526
10821667.107
8606
4556
12000000
49610.994
367307.795
8014
5148
25000000
544718.617
1373823.063
7277
5885
61400000
45795.524
774713.187
6942
6220
40000000
124367.308
811850.663
6713
6449
12000000
123946.098
475037.48
6555
6607
9000000
103693.391
501729.973
6293
6869
8800000
53850.003
322701.894
12185
100005
108727
104418.016
2410.545
12185
1
2
12185
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
12185
101
1803
941.152
484.235
12185
101001
1803027
941199.098
484233.97
12185
8.972
320.622
107.552
50.332
12185
1
2
3
4
5
6
7
12185
4500
10.695
43.062
11165
1020
90000000
181529.667
901827.719
8115
4070
80000
17.614
992.828
7412
4773
10500000
39285.446
166117.505
6476
5709
230000
55.315
2926.421
6078
6107
1500000
5183.323
35305.454
5890
6295
40000
10.36
582.677
5822
6363
150000
76.143
2936.546
5665
6520
4500000
886.478
59987.379
2335
100017
108726
104307.227
2256.649
2335
1
2
2335
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
2335
101
1803
983.819
487.948
2335
101001
1803027
983865.475
487951.79
2335
8.972
320.622
120.863
48.628
2289
46
1
2
Sysmiss
2270
65
1
2
Sysmiss
7837
100005
108727
104461.081
2494.948
7837
1
2
7837
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
7837
101
1803
923.056
491.116
7837
101001
1803027
923102.741
491115.479
7837
8.972
320.622
106.577
51.831
7643
194
1
2
Sysmiss
7596
241
1
2
Sysmiss
7588
249
1
2
Sysmiss
7585
252
1
2
Sysmiss
7583
254
1
2
Sysmiss
7581
256
1
2
Sysmiss
7573
264
1
2
Sysmiss
7525
312
1
2
Sysmiss
7492
345
1
2
Sysmiss
7489
348
1
2
Sysmiss
7488
349
1
2
Sysmiss
7481
356
1
2
Sysmiss
7463
374
1
2
Sysmiss
7305
532
1
32
1.875
0.487
8058
100005
108727
104461.611
2491.568
8058
1
2
8058
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
8058
101
1803
914.857
495.095
8058
101001
1803027
914903.302
495095.2
8058
8.972
320.622
107.059
52.051
8043
15
1
2
Sysmiss
8041
17
1
2
Sysmiss
7304
754
1
2
Sysmiss
7248
810
1
2
Sysmiss
7245
813
1
2
Sysmiss
7238
820
1
2
Sysmiss
7102
956
1
2
Sysmiss
1186
6872
1
2
Sysmiss
927
7131
1
2
Sysmiss
922
7136
1
2
Sysmiss
901
7157
1
2
Sysmiss
7969
100005
108727
104480.043
2493.429
7969
1
2
7969
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
7969
101
1803
915.873
495.321
7969
101001
1803027
915919.479
495320.749
7969
8.972
320.622
107.271
52.134
7790
179
1
2
Sysmiss
7784
185
1
1200000
156.658
13601.291
7764
205
1
150000
25.436
1736.137
904
7065
8000000
16423.927
289642.546
832
7137
70000000
1177722.308
5346980.772
795
7174
50000000
377105.556
2257028.342
756
7213
85000000
1355402.325
6239422.916
578
7391
100000000
1440338.417
6284963.557
565
7404
100000000
3393797.512
11077907.78
535
7434
170000000
6170757.428
16517673.904
457
7512
305000000
9248449.179
26651208.714
339
7630
475000000
11660759.882
33281434.308
161
7808
62500000
2650916.379
6664127.884
76
7893
150000000
8660875.211
24741923.37
31
7938
27000000
2302452.548
5871333.727
22
7947
6000000
497546.682
1333178.311
13
7956
3100000
329539.846
868027.14
7
7962
1
955000
179287.714
359864.884
5
7964
1
500000
204000.4
270332.751
5
7964
20000
500000
323000
243813.453
5
7964
40000
2222000
782400
887501.437
2
7967
500000
2317000
1408500
1284813.021
1
7968
98000
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
7969
Sysmiss
257641
100005
108727
104462.777
2427.156
257641
1
2
257641
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
257641
101
1803
919.77
509.18
257641
101001
1803027
919812.487
509181.154
257641
8.972
481.059
118.36
54.481
257641
1
611
164.256
137.387
257641
100
599171520
89747.528
2090442.504
74068
100005
108727
104461.041
2440.481
74068
1
2
74068
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
74068
101
1803
904.14
503.931
74068
101001
1803027
904183.957
503932.769
74068
8.972
320.622
113.45
52.971
74068
1
31
16.169
8.68
72811
1257
40000
1.567
148.235
72729
1339
78000000
2096.889
361676.602
70745
3323
5750000128
3105820.58
38667712.047
1409
100005
108725
104140.241
2470.824
1409
1
2
1409
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
1409
101
1803
897.135
520.675
1409
101001
1803022
897177.256
520676.812
1409
8.972
320.622
109.427
49.711
1154
255
1
1050000
2688.822
50381.518
1151
258
1
446000000
3042268.096
23518389.393
1151
258
1
2
3
4
5
6
7
8
9
10
Sysmiss
1149
260
1
2
5
Sysmiss
1141
268
50
1.992
2.081
1009
400
2003
17.77
153.731
871
538
2006
147.119
513.778
356
1053
2006
419.59
812.104
99
1310
2006
688.818
955.608
1956
100007
108723
104635.92
2320.143
1956
1
2
1956
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
1956
101
1803
824.345
529.448
1956
101001
1803022
824380.331
529449.484
1956
15.058
320.622
133.73
55.316
1956
1
95
52.62
22.104
1956
1000000
518.394
22610.624
1955
1
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
1955
1
500000
257.551
11308.241
1954
2
3000000
4029.22
83464.344
1945
11
15000000
54850.927
555248.353
1855
101
50000000
245957.733
1633773.349
1614
342
273000000
1407919.348
8197405.387
774
1182
90000000
2267339.455
6323766.078
1208
100008
108727
104654.753
2525.736
1208
1
2
1208
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
1208
101
1803
859.331
453.877
1208
101001
1803027
859376.425
453875.525
1208
8.972
320.622
102.017
47.594
1207
1
258000000
2332478.258
9882629.44
1202
6
1
2
3
Sysmiss
1201
7
60
1.891
2.174
997
211
2005
38.354
243.158
806
402
2003
204.69
605.171
348
860
2003
310.862
725.683
321290
100005
108727
104460.914
2492.911
321290
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
321290
01
02
03
04
05
06
07
08
09
10
11
12
13
14
321290
001
002
003
004
005
006
007
008
009
010
011
012
013
014
015
016
017
018
019
020
021
022
023
024
025
026
027
028
029
030
031
032
033
034
035
036
037
038
039
040
041
042
043
044
045
046
047
048
049
050
051
052
053
054
055
056
057
058
059
060
061
062
063
064
065
066
067
068
069
070
071
072
073
074
075
076
077
078
079
080
081
082
083
084
086
087
088
089
090
091
092
093
094
095
096
097
099
100
101
102
105
107
108
109
111
112
113
114
116
117
119
120
124
126
129
130
131
132
134
136
137
138
141
144
147
149
152
153
157
165
167
177
199
225
321290
1
2
321290
201
356
259.792
45.648
320730
560
1
2
Sysmiss
17030
304260
424000000
656104.067
5608976.532
321290
8.97
320.62
107.142
52.034
2899
100017
108723
104557.333
2534.854
2899
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
2899
01
02
03
04
05
06
07
08
09
10
11
12
13
14
2899
001
002
003
004
005
006
007
008
009
010
011
012
013
014
015
016
017
018
019
020
021
022
023
024
025
026
027
028
029
030
031
032
033
034
035
036
037
038
039
040
041
042
043
044
045
046
047
048
049
050
051
052
053
054
055
056
057
058
059
060
061
062
063
064
065
066
067
068
069
070
071
072
073
074
075
077
078
079
080
081
083
084
086
087
088
089
090
091
092
093
094
095
096
097
100
101
102
105
107
108
111
112
113
114
116
117
119
120
124
126
129
130
132
136
137
141
144
147
152
153
157
167
177
2899
1
2
2899
8.97
320.62
116.281
54.685
2899
2
3
4
5
2899
168
607
451.328
55.502
2899
70000000
657732.672
3216603.05
8083
100005
108727
104456.622
2494.436
8083
1
2
8083
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
8083
101
1803
913.039
495.801
8083
101001
1803027
913085.786
495800.682
8083
8.972
320.622
107.143
52.029
8079
4
28
1.048
0.42
8079
4
72000000
912265.823
2899033.636
8079
4
50
4.034
1.355
8078
5
200
3.844
2.964
8078
5
80
4.162
2.428
8077
6
192
8.858
11.178
8075
8
802
41.343
43.643
8059
24
3000
24.236
68.249
8049
34
10000
74.161
239.953
8045
38
10000
30.642
170.524
8042
41
10000
102.915
310.862
8013
70
6500
30.99
177.395
7772
311
1000
3.811
24.076
7305
778
1
2
3
4
5
6
7
8
Sysmiss
2022
6061
1
2
3
4
5
6
7
8
Sysmiss
125
7958
1
2
3
4
5
6
7
Sysmiss
8074
100005
108727
104458.516
2493.894
8074
1
2
8074
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
8074
101
1803
913.236
495.709
8074
101001
1803027
913282.384
495709.024
8074
8.972
320.622
107.168
52.076
8062
12
15
2.404
1.599
8061
13
44
2.644
2.193
8029
45
42
5.624
4.607
7844
230
33
2.911
3.037
8072
100005
108727
104461.938
2493.944
8072
1
2
8072
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
8072
101
1803
913.222
495.548
8072
101001
1803027
913268.597
495548.161
8072
8.972
320.622
107.129
52.095
8008
64
1
2
Sysmiss
7989
83
1
2
Sysmiss
449
7623
1
2
3
Sysmiss
432
7640
1
2
3
Sysmiss
410
7662
1
2
Sysmiss
374
7698
1
2
3
Sysmiss
238
7834
1
2
Sysmiss
231
7841
1
2
3
Sysmiss
22
8050
1
2
3
Sysmiss
15
8057
1
2
3
Sysmiss
14
8058
1
2
Sysmiss
11
8061
1
2
Sysmiss
7
8065
1
2
Sysmiss
6
8066
1
2
Sysmiss
42019
100005
108727
104473.586
2494.455
42019
500023
587824
525223.676
14386.07
42019
1
2
42019
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
42019
101
1803
901.942
491.704
42019
101001
1803027
901988.451
491703.926
42019
8.972
320.622
107.017
52.3
42019
1
2
3
42019
1
2
3
42019
1
2
41863
156
1
2002
2.639
16.932
30874
11145
501021
27.246
2912.785
29708
12311
5000000
882.122
29787.195
29422
12597
1703012
493.969
16133.132
15356
26663
1204142
1254.288
30919.511
12574
29445
5000000
22015.924
161892.279
12531
29488
1803027
472849.918
581609.17
12525
29494
6060130
171786.545
426115.776
12510
29509
3380000
15129.178
115204.838
12485
29534
8000000
32837.536
166465.33
12457
29562
4860000
45654.087
121918.235
12444
29575
8450000
54519.949
167605.569
12437
29582
5097000
50265.974
167600.516
12433
29586
13754000
74484.638
277386.589
12423
29596
27000000
96694.247
424162.101
12406
29613
7800000
71717.784
262474.676
12352
29667
27895000
78035.363
460959.624
12294
29725
10512000
13732.366
181114.104
12167
29852
1800000
3844.987
48460.022
11853
30166
2500000
577.684
26056.533
11313
30706
60
3.821
5.953
10618
31401
70
2.68
3.731
9606
32413
85
2.748
2.85
8116
33903
64
3.052
2.731
6190
35829
80
3.68
3.404
4240
37779
35
3.043
2.309
2706
39313
1
2
3
4
5
6
7
8
10
14
Sysmiss
1691
40328
1
2
3
4
5
6
7
Sysmiss
249
41770
1
2
3
4
5
6
Sysmiss
19
42000
2
4
5
6
Sysmiss
42019
Sysmiss
42019
Sysmiss
42019
Sysmiss
42019
Sysmiss
42019
Sysmiss
49757
100005
108727
104451.55
2507.038
49757
500023
550117
525095.688
14452.924
49757
1
2
49757
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
49757
101
1803
909.2
490.026
49757
101001
1803027
909246.628
490025.101
49757
8.972
320.622
105.642
52.206
49695
62
1
2
3
4
5
Sysmiss
49694
63
1
2
3
4
5
Sysmiss
49692
65
1
2
Sysmiss
49645
112
1
2
3
7
Sysmiss
49473
284
1
2
3
4
5
6
7
8
9
10
11
Sysmiss
49083
674
35000
3.073
166.997
8832
40925
60
2.823
3.197
7803
41954
1200000
322.282
16729.868
7656
42101
11000000
26142.027
222139.847
7355
42402
8700000
10268.608
143897.028
7192
42565
3000000
1632.588
50278.589
6289
43468
500000
198.244
7689.804
5688
44069
7500000
1637.012
100575.762
4679
45078
1400000
1425.757
32146.46
3646
46111
3246000
4579.878
93835.31
2673
47084
8000000
14050.197
215126.092
1938
47819
8500000
19016.728
243152.075
1292
48465
9500000
35502.81
336231.723
844
48913
6000000
59718.767
334942.262
607
49150
10180000
77929.203
481447.759
472
49285
3409800
60271.854
262825.609
351
49406
3850000
48462.675
243690.324
261
49496
3000000
64312.858
261797.007
181
49576
8000000
164158.558
709098.406
127
49630
4300000
98900.598
435288.604
81
49676
2520000
131176.074
344014.696
45
49712
577000
61146.222
123055.469
33
49724
1
2937000
165485.97
520319.013
12
49745
1
250000
66417.167
83122.101
8
49749
1
2
Sysmiss
49757
Sysmiss
6226
100005
108727
104329.243
2567.146
6226
500028
550117
524398.718
14780.843
6226
1
2
6226
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
6226
101
1803
948.154
478.371
6226
101001
1803027
948205.238
478367.904
6226
8.97
320.62
97.676
50.854
5872
354
1
30
1.653
1.334
5789
437
1
2002
11.293
37.344
5783
443
1
2002
47.779
284.49
5775
451
1
2003
1951.505
308.706
5748
478
1
180
72.769
19.735
5721
505
1
20
1.411
1.66
5538
688
0.5
10200
14.307
171.001
49789
100005
108727
104451.976
2507.152
49789
500023
550117
525098.505
14453.39
49789
1
2
49789
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
49789
101
1803
909.058
489.986
49789
101001
1803027
909104.841
489985.059
49789
8.972
320.622
105.613
52.206
49789
1
2
3
4
5
6
49789
1
2
49789
1
2003
411.954
793.097
49789
2002
23.206
163.941
49789
2003
1562.028
805.813
49789
115
21.98
18.752
40523
9266
50
3.724
7.939
39356
10433
1
50
9.598
15.036
3483
46306
1
50
15.276
17.981
36580
100005
108727
104534.22
2482.104
36580
500023
550110
525573.177
14318.963
36580
1
2
36580
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
36580
101
1803
902.642
480.016
36580
101001
1803027
902690.369
480015.861
36580
8.972
320.622
106.862
51.191
36580
1
52
1.539
0.614
36580
1
2
3
4
5
6
7
36580
1
56
1.884
1.243
36566
14
93
1.031
0.874
36566
14
95
10.655
21.902
36566
14
84
4.746
2.878
36560
20
126
26.764
19.054
36487
93
95
4.917
5.429
36370
210
84
6.482
4.048
34818
1762
84
1.49
4.28
29972
6608
365
1.352
3.621
27439
9141
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
26765
9815
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
26490
10090
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
25811
10769
1
2
3
4
5
6
7
8
9
10
11
12
Sysmiss
2317
34263
270
1.12
9.612
479
36101
1
2
3
4
6
11
12
Sysmiss
385
36195
2
Sysmiss
29
36551
2
Sysmiss
49735
100005
108727
104453.811
2506.195
49735
500023
550117
525108.516
14448.521
49735
1
2
49735
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
49735
101
1803
909.219
490.025
49735
101001
1803027
909266.535
490024.242
49735
8.972
320.622
105.639
52.218
47501
2234
10
1.63
1.188
47501
2234
12
1.824
1.262
47501
2234
12
1.824
1.257
47501
2234
30
5.281
3.474
47493
2242
10
0.259
0.809
47493
2242
8
0.241
0.716
47493
2242
6
0.263
0.744
47493
2242
0.200000002980232
0.300000011920929
0.400000005960464
0.5
0.600000023841858
0.699999988079071
0.800000011920929
0.899999976158142
1
1.10000002384186
1.20000004768372
1.29999995231628
1.39999997615814
1.5
1.60000002384186
1.79999995231628
2
2.5
3
3.20000004768372
3.29999995231628
3.5
3.70000004768372
4
4.09999990463257
4.19999980926514
4.30000019073486
4.5
5
5.09999990463257
5.19999980926514
5.5
6
6.09999990463257
6.19999980926514
6.30000019073486
6.40000009536743
6.5
6.59999990463257
6.80000019073486
7
7.09999990463257
7.19999980926514
7.30000019073486
7.40000009536743
7.5
8
8.10000038146973
8.19999980926514
8.30000019073486
8.5
9
9.10000038146973
9.19999980926514
9.5
9.60000038146973
9.80000019073486
10
11
11.5
12
13
13.5
14
15
18
Sysmiss
49766
100005
108727
104451.184
2507.122
49766
500023
587824
525095.453
14455.713
49766
1
2
49766
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
49766
101
1803
908.824
489.97
49766
101001
1803027
908870.972
489969.584
49766
8.972
320.622
105.605
52.217
49627
139
1
2
Sysmiss
49583
183
1
2
3
4
5
Sysmiss
22544
27222
1
2
3
4
5
6
Sysmiss
20010
29756
1
2
3
4
5
6
Sysmiss
10220
39546
1
2
3
4
5
6
Sysmiss
6645
43121
1
2
3
4
5
6
Sysmiss
3962
45804
1
2
3
4
5
6
Sysmiss
2718
47048
1
2
3
4
5
6
Sysmiss
1256
48510
1
2
3
4
5
6
Sysmiss
1207
48559
1
2
3
4
5
Sysmiss
194756
100005
108727
104450.892
2491.726
194756
500023
550112
525090.322
14366.164
194756
1
2
194756
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
194756
101
1803
891.991
496.687
194756
101001
1803027
892037.668
496687.769
194756
8.972
320.622
108.27
52.606
194756
1
735
69.613
169.9
194756
24
4.342
3.317
537
0101001
0101002
0101007
0101013
0101019
0101026
0101035
0102007
0102016
0102031
0102038
0102048
0102053
0103001
0103006
0103012
0103018
0103030
0103036
0103043
0104006
0104014
0104022
0104034
0105011
0105013
0105035
0105041
0106006
0106011
0106024
0106026
0106035
0106037
0106061
0106075
0106089
0106092
0107016
0107017
0107032
0107033
0107041
0107053
0108015
0108034
0109019
0109037
0201001
0201036
0201051
0201066
0201079
0201091
0201095
0202056
0202079
0202096
0203015
0203037
0203071
0203109
0204022
0204056
0204083
0205021
0205048
0205049
0206022
0206042
0206080
0207020
0301001
0301003
0301006
0301015
0301020
0301037
0301069
0302004
0302011
0302019
0302040
0302055
0302105
0302108
0303042
0303060
0303088
0303113
0304020
0304047
0304059
0305026
0305042
0305063
0401001
0401015
0401016
0401025
0401031
0401111
0401137
0402026
0402041
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537
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537
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537
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537
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537
11
590
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412
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0602007
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0904079
0905017
0905031
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1801001
1801005
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1802013
1802020
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1803022
1803027
537
1
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540
0101001
0101002
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0101026
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0102007
0102016
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0301001
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0301020
0301037
0301069
0302004
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0305026
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0406165
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0501001
0501020
0501027
0501060
0501075
0501090
0501091
0501097
0501117
0501132
0502008
0502017
0502029
0502045
0502057
0503011
0504007
0504033
0504052
0504087
0504100
0504111
0505020
0505041
0601001
0601018
0601029
0601045
0601059
0601079
0601081
0602007
0602039
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0604039
0605029
0605067
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0605129
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1503062
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1602005
1602012
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1802020
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540
Angsila
Anousannha
Arong
Asok
Bak
Baknhai
Banbone
Banduane
Bankang
Banmo
Bannhai
Banphine
Bansamxong
Banseng
Bansoid
Bansom
Boneng
Bongtheung
Bornangoua
Bortai
Boumlao
Bungma
Bungsamphanh
Bungthalay
Chahor
Chair
Chaleunxai
Chaluangli
Chameuneua
Chantai
Chaypha
Chengkang
Chomcheng
Chomkeo
Chommanyneua
Chomphet
Chomthong
Dackvai
Dannhai
Dannoy
Danxang
Darkriet
Darkxeum
Denekang
Donechanh
Donedeng
Doneka
Donekeltai
Donekeo
Donekhang
Donemai
Donemakdeu
Donemoon
Donemuang
Donesangphai
Donetiev
Donghouaban
Dongkadouse
Dongmeung
Dongnong
Dongpalanthong
Dongsavang
Dontai
Eleck
Eula
Guengchalong
Guengkel
Guengkokdong
Guengmor
Guengnhang
Guengnhapheud
Guengsouthi
Guengyang
Haddou
Hadxam
Hadxone
Haihine
Hatdie
Hatdonekeo
Hatsakang
Hatsamkhone
Hatsiel
Hatxaikhoun
Hieng
Homthat
Houakoua
Houameung
Houaxang
Huaxieng
Huoibouha
Huoichiet
Huoidou
Huoihom
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Huoikha
Huoikhaineua
Huoikheua
Huoikhong
Huoikung
Huoilat
Huoileusi
Huoilouak
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Huoipian
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Kangpangthong
Kangthong
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Kelsala
Ketpheing
Kexang
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Khamphai
Khamphong
Khamtieu
Khiengtanglair
Khokva
Khuom 4
Kievkang
Kievmaknao 2
Kimkor
Kokdeua
Kokhai
Kokhaikham
Kokkaodor
Kokkapao
Konehou
Konekeo
Konesong
Korkhouaphou
Korklamxeng
Kouadam
Koualeck
Koudphadang
Koudsamphanh
Kounsoukluang
Kungmok
La ornoymai
Lack 12
Lack 37
Lack 52
Lackbene
Lacksong
Lahakoke
Lakhonesikang
Laokham
Latvanh
Longcheng
Longlanh
Longngad
Look
Lou
Luang
Luangkuang
Mai
Maihouameung
Mesouk
Meundi
Meungmad
Meungmuane
Meungnoy
Meungpeux
Meungphiang
Mixai
Mokpone
Moksuane
Mone
Mongnam
Muang
Na
Na Ang
Nabone
Nabong
Nabuoi
Nachane
Nadinchi
Nadou
Naha
Nahai
Naheung
Nahom
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Nahouaphou
Nakang
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Nakhounneua
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Nalanh
Naleck
Nam ong
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Namkee
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Namla
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Nammo
Nammudmai
Namngat
Namngell
Namngeun
Namnhap
Namnhonekao
Namnod
Namnong
Namon
Nampakhain
Nampanh
Namphad
Namphou
Namtee
Namtom
Namuang
Namun
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Namyang
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Nanam
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Nhottong
Nong
Nongbong
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Pangthong
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Phanmanh
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Pheremainhai
Pheun
Phokham
Phongnga
Phongsene
Phonhong
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Phonkhoun
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Phonmuang
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Phonngam 2
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Phonpeu
Phonpha
Phonphai
Phonpheng
Phonsa At
Phonsangphai
Phonsavang
Phonsavanh
Phonsavanhneua
Phonsavanneua
Phonsavat
Phonsene
Phonsi
Phonsida
Phonsikhai
Phonthong
Phontoum
Phonxai
Phonxaitai
Phork
Phosi
Phosikeo
Phou (Luang)
Phoudindeng
Phouhouaxangneu
Phoukatha
Phoukeo
Phoulat
Phoulom
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Phousathene
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Pou (Nalock)
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Pule
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Satung
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Savearn
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Siangluang
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Sidonenheng
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Sisavat
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Somsanook
Somsouk
Somvenork
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0708
0801
0802
0803
0805
0806
0807
0808
0809
0901
0902
0903
0904
0905
0906
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1101
1102
1103
1104
1105
1106
1201
1202
1203
1204
1205
1206
1207
1208
1209
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1401
1402
1403
1404
1405
1406
1407
1408
1501
1502
1503
1504
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1701
1702
1703
1704
1705
1801
1802
1803
8092
01
02
03
04
05
06
07
08
09
10
11
12
13
14
15
16
17
18
8092
1
2
3
1 urban 2 rural
1 urban 2 rural
1 urban 2 rural
1 urban 2 rural
1 urban 2 rural
8092
1
urban
2
rural
1 vie 2 north 3 center 4 south
1 vie 2 north 3 center 4 south
1 vie 2 north 3 center 4 south
1 vie 2 north 3 center 4 south
1 vie 2 north 3 center 4 south
8092
1
vientiane
2
north
3
center
4
south
1 jan to 12 dec
1 jan to 12 dec
1 jan to 12 dec
1 jan to 12 dec
1 jan to 12 dec
8092
1
jan
2
feb
3
mar
4
apr
5
may
6
jun
7
jul
8
aug
9
sep
10
oct
11
nov
12
dec
per cap food povline
per cap food povline
per cap food povline
per cap food povline
per cap food povline
8092
51580.535
78909.359
60674.52
7043.886
per cap nonfd pov line
per cap nonfd pov line
per cap nonfd pov line
per cap nonfd pov line
per cap nonfd pov line
8092
26922.758
37754.012
31462.798
2582.535
per cap total povline
per cap total povline
per cap total povline
per cap total povline
per cap total povline
8092
78503.297
116663.375
92137.318
9426.745
household id
household id
household id
household id
household id
8092
100005
108727
104457.135
2495.085
noofhhmembers
noofhhmembers
noofhhmembers
noofhhmembers
noofhhmembers
8092
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
district_code
district_code
district_code
district_code
district_code
8092
101
1803
912.829
495.69
province_code
province_code
province_code
province_code
province_code
8092
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
incorrect popweight
incorrect popweight
incorrect popweight
incorrect popweight
incorrect popweight
8092
26.915
4201.597
649.829
403.773
per cap food consum
per cap food consum
per cap food consum
per cap food consum
per cap food consum
8092
12504.546
1023280
101690.082
59863.439
per cap nonfd consum
per cap nonfd consum
per cap nonfd consum
per cap nonfd consum
per cap nonfd consum
8092
15844.462
3205875
149741.743
133730.921
poverty headcount
poverty headcount
poverty headcount
poverty headcount
poverty headcount
8092
1
poverty gap
poverty gap
poverty gap
poverty gap
poverty gap
8092
0.817
0.0737
0.141
poverty severity
poverty severity
poverty severity
poverty severity
poverty severity
8092
0.667
0.0253
0.0658
foodpovhc foodcon<foodpvline
foodpovhc foodcon<foodpvline
foodpovhc foodcon<foodpvline
foodpovhc foodcon<foodpvline
foodpovhc foodcon<foodpvline
8092
1
food cons as share of tot cons
food cons as share of tot cons
food cons as share of tot cons
food cons as share of tot cons
food cons as share of tot cons
8092
4.595
100
75.735
16.28
0 urbvie 1 urboth 2 rurdryroad 3 other
0 urbvie 1 urboth 2 rurdryroad 3 other
0 urbvie 1 urboth 2 rurdryroad 3 other
0 urbvie 1 urboth 2 rurdryroad 3 other
0 urbvie 1 urboth 2 rurdryroad 3 other
8092
1
urbvien
2
urboth
3
rurdryroad
4
rurnodryroad
1 1stprior district 2 2nd prior d. 3 non-prior. d.
1 1stprior district 2 2nd prior d. 3 non-prior. d.
1 1stprior district 2 2nd prior d. 3 non-prior. d.
1 1stprior district 2 2nd prior d. 3 non-prior. d.
1 1stprior district 2 2nd prior d. 3 non-prior. d.
8092
1
1stpriordist
2
2ndpriordist
3
nonpriordist
1 lowland 2 mixed 3 upland
1 lowland 2 mixed 3 upland
1 lowland 2 mixed 3 upland
1 lowland 2 mixed 3 upland
1 lowland 2 mixed 3 upland
8048
44
1
lowland
2
mixed
3
upland
Sysmiss
correct hhweight
correct hhweight
correct hhweight
correct hhweight
correct hhweight
8092
8.929
352.452
112.084
52.06
correct popweight
correct popweight
correct popweight
correct popweight
correct popweight
8092
17.035
5286.775
682.077
415.115
incorrect hhweight
incorrect hhweight
incorrect hhweight
incorrect hhweight
incorrect hhweight
8092
8.972
320.622
107.124
52.083
hhid
hhid
hhid
hhid
hhid
8092
100005
108727
104457.135
2495.085
village_code
village_code
village_code
village_code
village_code
8092
101001
1803027
912875.189
495689.445
urban rural
urban rural
urban rural
urban rural
urban rural
8092
1
2
noofhhmembers
noofhhmembers
noofhhmembers
noofhhmembers
noofhhmembers
8092
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
interview_month
interview_month
interview_month
interview_month
interview_month
8092
1
2
3
4
5
6
7
8
9
10
11
12
hhnumber
hhnumber
hhnumber
hhnumber
hhnumber
8092
01
02
03
04
05
06
07
08
09
1
10
11
12
13
14
15
district_code
district_code
district_code
district_code
district_code
8092
101
1803
912.829
495.69
province_code
province_code
province_code
province_code
province_code
8092
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
type
type
type
type
type
8092
1
2
3
the four regions
the four regions
the four regions
the four regions
the four regions
8092
1
2
3
4
8092
8.972
320.622
107.124
52.083
8092
26.915
4201.597
649.829
403.773
8092
11
42
28.241
9.083
8067
25
4166
6000000
77876.446
241340.815
8092
723770
40607.623
24278.312
food consumption
food consumption
food consumption
food consumption
food consumption
8092
27500
10493500
577441.065
337646.773
nonfood consumption
nonfood consumption
nonfood consumption
nonfood consumption
nonfood consumption
8092
16714830
263675.989
506417.81
total consumption
total consumption
total consumption
total consumption
total consumption
8092
27700
18603230
841117.054
708678.716
food per hhmember
food per hhmember
food per hhmember
food per hhmember
food per hhmember
8092
12504.546
1023280
101690.082
59863.439
total per hhmember
total per hhmember
total per hhmember
total per hhmember
total per hhmember
8092
15844.462
3205875
149741.743
133730.921
8092
76.8
131.2
92.53
11.728
8092
80.9
119.1
96.584
7.756
8092
53049
99283
65392.235
10714.167
8092
73987.445
138470.016
91202.56
14943.051
8092
19.669
2778.921
161.323
130.133
poor
poor
poor
poor
poor
8092
100
29.684
45.689
food poverty ratio
food poverty ratio
food poverty ratio
food poverty ratio
food poverty ratio
8092
21.65
1813.125
154.658
85.272
very poor
very poor
very poor
very poor
very poor
8092
100
21.577
41.138
pov gap
pov gap
pov gap
pov gap
pov gap
8092
80.331
6.693
13.399
servity
servity
servity
servity
servity
8092
64.53
2.243
6.12