Division of Malaria Contro [Ministry of Public Health and Sanitation], Kenya Nationa Bureau of Statistics, and ICF Macro. 2011. 2010 Kenya Malaria Indicator Suervey. Nairobi, Kenya:DOMC,KNBS and ICF Macro
KMIS-2010
Division of Malaria Control
Kenya National Bureau of Statistics
ICF Macro
DFID
PMI
UNICEF
World Health Organization
Centre for Desease Control and Prevention
KEMRI-WRP
PSI
NCAPD
Division Of Malarial Control
Kenya National Bureau of Statistics
ICF Macro
2012-08-02
Metadata Editor
Kenya MALARIA Indicator Survey-2010
Kenya Malaria Indicator Survey 2010
KMIS
KEN-KNBS-KMIS-2010-V0.1
Kenya National Bureau of Statistics
Division of Malaria Control
Kenya National Bureau of Stataistics
Department of Malaria Control
World Health Organization
Center for Disease Control and Prevention
2012-08-02
Metadata Editor
United Kingdom Department for Internation International Development
United states President's Malaria Initiative
United Nations Children's Fund
Director General
Other Household Health Survey [Malaria Survey]
Kenya Malaria Indicator Survey done in 2010 and had been done prvesioly in 2007
Artemisinin-based combination therapy
Affordable Medicines Facility for malaria
Artemether-lumefantrine
Antenatal care
Centers for Disease Control and Prevention
Constituencies Development Fund
Community Health Strategy
Stayed in the sampled household the night before the survey
De jure Usual member of household, regardless of presence at the time of the survey
(United Kingdom) Department for International Development
District Health Stakeholders Forum
Division of Malaria Control
Enumeration area
El Niño southern oscillation
Economic Recovery Strategy
Grams per decilitre
Gross domestic product
Global Fund to Fight AIDS, TB and Malaria
Global positioning system
Haemoglobin
Household
Intermittent preventive treatment in Intermittent preventive treatment in pregnancy
Indoor residual spraying
Insecticide-treated net
Integrated vector management
Kenya Demographic and Health Survey
Kenya Medical Research Institute
Kenya Essential Package for Health
Kenya Malaria Indicator Survey
Kenya National Bureau of Statistics
Long-lasting insecticidal net
Millennium Development Goals
Ministry of Public Health and Sanitation
Malaria treatment guidelines
Medium Term Plan
National Sample Survey and Evaluation National Sample Survey and Evaluation Programme
National Coordinating Agency for Population and Development
Second National Health Sector Strategic Plan 2005–2010 (extended to 2012)
National Malaria Strategy
Personal digital assistant
US President’s Malaria Initiative
Population Services International
Rapid diagnostic tests
Sulphadoxine or sulphalene-pyrimethamine
United Nations Children’s Fund
World Health Organization
Kenya
Sample survey data [ssd]
HOUSEHOLD: Household characteristics, Assess the prevalence of malaria among children 3 months to 14 years, Assess the level of anaemia among children 6 months to 14 years. Mosquito Net usage by defacto members of the household,The woman's questionnaire targeted women aged 15 - 49 years. It was used to collect information on background characteristics, reproductive history, use of intermittent preventive treatment during pregnancy for recent births, fever prevalence and treatment among children under five, and knowledge and attitudes regarding malaria and child survival.
2007 Kenya Malaria Indicator Survey.
Kenya Demographic and Health Survey, 2003
Kenya Demographic and Health Survey, 2008 -09
2007 Kenya Malaria Indicator Survey.
Kenya Demographic and Health Survey, 2003
Kenya Demographic and Health Survey, 2008 -09
CBS [Kenya]. 1970. 1969 Population Census. Vol.4 Central Bureau of Statistics, Ministry of Finance and Planning, Nairobi.
CBS [Kenya]. 1981. 1979 Population Census. Vol.2. Central Bureau of Statistics, Ministry ofFinance and Planning, Nairobi.
CBS [Kenya]. 1994. Kenya Population Census, 1989. Vol. 1. Central Bureau of Statistics, Ministry of Planning and National Development,Nairobi.CBS [Kenya]. 2001. Population Distribution by Administrative Areas and Urban Centres,
Kenya 1999 Population and Housing Census.Vol. 1. Central Bureau of Statistics, Ministry of Planning and National Development,Nairobi.
More references are found the main report
2009. “The risks of malaria infection in Kenya in 2009”. BMC Infectious Diseases, 9:180
HH_Identification (Household Identification).NSDstat
28122
15
Nesstar 200801
HHOLD_SCHEDULE.NSDstat
28122
15
Nesstar 200801
HHOLD_CHARACTERISTICS.NSDstat
6538
35
Nesstar 200801
MOSQUITO_NETS.NSDstat
7169
30
Nesstar 200801
MALARIA_ALTITUDE.NSDstat
6538
11
Nesstar 200801
WEIGHT_HEIGHT_HAEMOGLOBIN_CHILDREN,.NSDstat
13252
39
Nesstar 200801
IND_IDENTIFICATION.NSDstat
6330
14
Nesstar 200801
RESPONDENTS_BACKGROUND.NSDstat
5901
17
Nesstar 200801
REPRODUCTION.NSDstat
5901
13
Nesstar 200801
sea_id
28122
0
6
1784
744.801
467.65
HouseID
28122
0
1
33
15.125
8.646
Line number of member
28122
0
1
28
3.4
2.369
Relationship to head
28122
0
1
Head
6538
2
Wife or husband
3550
3
Son, daughter
13577
4
Son-in-law, daughter-in-law
200
5
Grandchild
2474
6
Parent
102
7
Parent-in-law
40
8
Brother, sister
368
9
Other relative
891
10
Adopted/foster/step child
157
11
Not related
223
98
DK
2
Sex of household member
28122
0
1
Male
13425
2
Female
14697
Usual resident
28122
0
1
Yes
27887
2
No
235
Slept last night
28119
3
1
Yes
26946
2
No
1173
9
3
Age of household members
28121
1
0
98
0
1024
1
955
2
1056
3
1042
4
1025
5
979
6
951
7
871
8
878
9
739
10
945
11
682
12
749
13
707
14
649
15
582
16
523
17
507
18
500
19
397
20
514
21
399
22
411
23
444
24
450
25
474
26
446
27
377
28
415
29
266
30
487
31
320
32
392
33
239
34
271
35
377
36
268
37
248
38
297
39
162
40
370
41
218
42
226
43
117
44
132
45
245
46
144
47
188
48
159
49
109
50
329
51
152
52
204
53
131
54
161
55
157
56
138
57
105
58
156
59
64
60
225
61
74
62
104
63
65
64
77
65
146
66
42
67
56
68
68
69
23
70
148
71
51
72
40
73
29
74
43
75
54
76
30
77
17
78
32
79
16
80
75
81
19
82
14
83
7
84
19
85
20
86
14
87
6
88
14
89
5
90
31
91
2
92
7
93
1
94
2
95
2
96
96+
19
98
DK
1
99
1
Eligibility for interview
28122
0
0
Not eligible
21792
1
1389
2
3080
3
576
4
428
5
329
6
205
7
137
8
87
9
35
10
28
11
16
12
4
13
4
14
3
15
1
16
2
17
1
18
2
19
2
20
1
Pregnancy
5899
22223
1
Yes
409
2
No
5432
8
DK
58
9
431
Sysmiss
21792
Child's eligibility for interview
28121
1
0
28
0
Not eligible
14869
1
8
2
1317
3
3607
4
2936
5
1967
6
1371
7
837
8
488
9
297
10
160
11
99
12
53
13
29
14
18
15
18
16
12
17
9
18
8
19
3
20
1
21
2
22
2
23
2
24
2
25
2
26
2
27
1
28
1
Sysmiss
1
Age corrected from individual questionnaire
5901
22221
15
49
15
243
16
227
17
233
18
225
19
219
20
255
21
223
22
230
23
251
24
248
25
274
26
252
27
190
28
218
29
129
30
240
31
171
32
214
33
135
34
135
35
185
36
122
37
127
38
146
39
75
40
176
41
104
42
122
43
54
44
60
45
112
46
75
47
91
48
90
49
50
97
97+
0
98
DK
0
99
429
Sysmiss
21792
Flag for age correction
5895
22227
0
No data from individual questionnaire
0
1
Month and year
3420
2
Month and age -y imp
0
3
Year and age - m imp
2448
4
Y & age - y ignored
0
5
Year - a, m imp
0
6
Age - y, m imp
27
7
Month - a, y imp
0
8
None - all imp
0
9
435
Sysmiss
21792
Pregnancy status from individual questionnaire
5898
22224
0
No, don't know
5489
1
Yes
409
9
432
Sysmiss
21792
PersonID
28121
0
sea_id
28122
0
6
1784
744.801
467.65
HouseID
28122
0
1
33
15.125
8.646
Line number of member
28122
0
1
28
3.4
2.369
Relationship to head
28122
0
1
Head
6538
2
Wife or husband
3550
3
Son, daughter
13577
4
Son-in-law, daughter-in-law
200
5
Grandchild
2474
6
Parent
102
7
Parent-in-law
40
8
Brother, sister
368
9
Other relative
891
10
Adopted/foster/step child
157
11
Not related
223
98
DK
2
Sex of household member
28122
0
1
Male
13425
2
Female
14697
Usual resident
28122
0
1
Yes
27887
2
No
235
Slept last night
28119
3
1
Yes
26946
2
No
1173
9
3
Age of household members
28121
1
0
98
0
1024
1
955
2
1056
3
1042
4
1025
5
979
6
951
7
871
8
878
9
739
10
945
11
682
12
749
13
707
14
649
15
582
16
523
17
507
18
500
19
397
20
514
21
399
22
411
23
444
24
450
25
474
26
446
27
377
28
415
29
266
30
487
31
320
32
392
33
239
34
271
35
377
36
268
37
248
38
297
39
162
40
370
41
218
42
226
43
117
44
132
45
245
46
144
47
188
48
159
49
109
50
329
51
152
52
204
53
131
54
161
55
157
56
138
57
105
58
156
59
64
60
225
61
74
62
104
63
65
64
77
65
146
66
42
67
56
68
68
69
23
70
148
71
51
72
40
73
29
74
43
75
54
76
30
77
17
78
32
79
16
80
75
81
19
82
14
83
7
84
19
85
20
86
14
87
6
88
14
89
5
90
31
91
2
92
7
93
1
94
2
95
2
96
96+
19
98
DK
1
99
1
Eligibility for interview
28122
0
0
Not eligible
21792
1
1389
2
3080
3
576
4
428
5
329
6
205
7
137
8
87
9
35
10
28
11
16
12
4
13
4
14
3
15
1
16
2
17
1
18
2
19
2
20
1
Pregnancy
5899
22223
1
Yes
409
2
No
5432
8
DK
58
9
431
Sysmiss
21792
Child's eligibility for interview
28121
1
0
28
0
Not eligible
14869
1
8
2
1317
3
3607
4
2936
5
1967
6
1371
7
837
8
488
9
297
10
160
11
99
12
53
13
29
14
18
15
18
16
12
17
9
18
8
19
3
20
1
21
2
22
2
23
2
24
2
25
2
26
2
27
1
28
1
Sysmiss
1
Age corrected from individual questionnaire
5901
22221
15
49
15
243
16
227
17
233
18
225
19
219
20
255
21
223
22
230
23
251
24
248
25
274
26
252
27
190
28
218
29
129
30
240
31
171
32
214
33
135
34
135
35
185
36
122
37
127
38
146
39
75
40
176
41
104
42
122
43
54
44
60
45
112
46
75
47
91
48
90
49
50
97
97+
0
98
DK
0
99
429
Sysmiss
21792
Flag for age correction
5895
22227
0
No data from individual questionnaire
0
1
Month and year
3420
2
Month and age -y imp
0
3
Year and age - m imp
2448
4
Y & age - y ignored
0
5
Year - a, m imp
0
6
Age - y, m imp
27
7
Month - a, y imp
0
8
None - all imp
0
9
435
Sysmiss
21792
Pregnancy status from individual questionnaire
5898
22224
0
No, don't know
5489
1
Yes
409
9
432
Sysmiss
21792
PersonID
28121
0
sea_id
6538
0
6
1784
765.091
490.743
HouseID
6538
0
1
33
15.175
8.612
Source of drinking water
6519
19
11
Piped into dwelling
308
12
Piped into compound/plot
889
13
Public tap
1025
14
Borehole
1138
21
Open well in compound/plot
85
31
Open public well
241
32
Covered well in compound/plot
162
41
Rainwater
241
42
Bottled water
14
51
Covered public well
141
61
Spring
433
71
River/Stream
1446
81
Pond/Lake
86
91
Other
52
96
Dam
258
99
19
Type of toilet facility
6519
19
11
Flush
487
12
Traditional pit
4164
13
Ventilated improved latrine
862
61
No facility
967
96
Other
39
99
19
Clock/Watch
6519
19
1
Yes
1343
2
No
5176
9
19
Electricity
6519
19
1
Yes
1032
2
No
5487
9
19
Radio
6519
19
1
Yes
4465
2
No
2054
9
19
Television
6519
19
1
Yes
1279
2
No
5240
9
19
Mobile telephone
6519
19
1
Yes
4131
2
No
2388
9
19
Telephone (non-mobile)
6519
19
1
Yes
21
2
No
6498
9
19
Refrigerator
6519
19
1
Yes
211
2
No
6308
9
19
Solar Panel
6519
19
1
Yes
204
2
No
6315
9
19
Fan
6519
19
1
Yes
67
2
No
6452
9
19
Sewing machine
6519
19
1
Yes
189
2
No
6330
9
19
Cassette player
6519
19
1
Yes
346
2
No
6173
9
19
Plough
6519
19
1
Yes
326
2
No
6193
9
19
Grain grinder
6519
19
1
Yes
35
2
No
6484
9
19
VCR/DVD
6519
19
1
Yes
437
2
No
6082
9
19
Tractor
6519
19
1
Yes
7
2
No
6512
9
19
Hammer Mill
6519
19
1
Yes
1
2
No
6518
9
19
Type of cooking fuel
6519
19
1
Electricity
23
2
LPG
257
3
Biogas
13
4
Kerosene
348
5
Coal, lignite
1
6
Charcoal
1026
7
Wood / Straw / shrubs / grass
4738
8
Animal dung
25
9
No food cooked in HH
75
96
Other
13
99
19
Main material of floor
6519
19
11
Earth, sand
2824
12
Dung
1377
21
Wood planks
25
22
Palm, bamboo
0
31
Parquet, polished wood
0
32
Vinyl, asphalt strips
5
33
Ceramic tiles
82
34
Cement
2180
35
Carpet
0
96
Other
26
99
19
Main roof material
6519
19
11
Thatch/Leaf
1296
12
Sticks and mud
44
21
Rustic mat/plastic sheet
67
22
Reed/bamboo
6
23
Wood planks
8
31
Corrugated iron
4919
32
Wood
18
33
Calamine/cement fiber
4
34
Cement/concrete
97
35
Roofing shingles
5
96
Other
55
99
19
Main wall material
6519
19
11
No walls
12
12
Cane / palm / trunks
271
13
Dirt
0
21
Bamboo with mud
2477
22
Stone with mud
683
23
Uncovered adobe
12
24
Plywood
42
25
Carton
2
26
Reused wood
0
31
Cement
585
32
Stone with lime / cement
755
33
Bricks
346
34
Cement blocks
169
35
Covered adobe
50
36
Wood planks / shingles
704
96
Other
411
99
19
Number of rooms used for sleeping
6519
19
0
7
1
3162
2
2068
3
837
4
321
5
72
6
32
7
9
8
3
10
3
11
3
12
1
22
1
99
19
Bicycle
6519
19
1
Yes
1804
2
No
4715
9
19
Motorcycle, motor scooter
6519
19
1
Yes
196
2
No
6323
9
19
Animal drawn cart
6519
19
1
Yes
103
2
No
6416
9
19
Car/ truck OR boat with motor
6519
19
1
Yes
258
2
No
6261
9
19
Dwelling sprayed last 12 months
6519
19
1
Yes
771
2
No
5681
8
DK
67
9
19
Months ago the house was sprayed
771
5767
0
Less than 1 month
75
1
120
2
251
3
130
4
95
5
11
6
17
7
7
8
6
9
6
10
5
11
20
12
25
15
1
24
1
36
1
Sysmiss
5767
Who sprayed the house (CS)
771
5767
1
Government worker/program
696
2
Private company
33
3
Household member
17
6
Other
7
8
Don't know
18
Sysmiss
5767
Mosquito nets used while sleeping
6517
21
1
Yes
3789
2
No
2728
9
21
Number of mosquito nets
3789
2749
1
1713
2
1243
3
557
4
183
5
55
6
29
7
4
8
3
9
1
10
1
Sysmiss
2749
BOTH car/truck AND boat with motor
6519
19
1
Yes
45
2
No
6474
9
19
sea_id
7169
0
6
1784
772.608
488.05
HouseID
7169
0
1
33
15.079
8.645
Net number
7169
0
1
3800
2
2093
3
838
4
284
5
93
6
41
7
10
8
6
9
3
10
1
Shown Net
7169
0
1
Observed
5192
2
Not observed
1977
How long ago household obtain net
7169
0
0
98
95
37 or more months
2276
98
Don't know
168
Place got the net
7169
0
11
Government Campaign
401
12
Government Clinic/Hospital
3966
13
Other Clinic/Hospital
266
14
Neighborhood
104
15
Health Committee
14
16
Community health worker
55
17
Agent/NGO
247
18
Retail shop
1789
19
Pharmacy
33
20
Workplace
29
96
Other
186
98
Don't know
79
Net brand name
7169
0
11
Permanet
0
12
Olyset
3077
13
PermaNet
1002
14
Supanet Extra
1046
15
Olyset (UNICEF)
0
16
Other Permanent/Don't know
147
21
Kinga net
54
22
Supanet
1329
23
Unbranded rural net
82
24
Safinet
0
26
Other Pretreated/Don't know
21
31
Other
57
32
Unbranded
171
98
Don't know brand
183
Net treated with chemical when obtained
411
6758
1
Yes
144
2
No
155
8
Not sure
112
Sysmiss
6758
Net ever soaked or dipped in chemical since obtained
1896
5273
1
Yes
889
2
No
854
8
Not sure
153
9
1
Sysmiss
5272
How long ago was net last soaked
889
6280
0
98
95
25 or more months ago
176
98
Not sure
43
Last time treated with a liquid from a packet
889
6280
1
Yes
564
2
No
207
8
Not sure
118
Sysmiss
6280
Last time treated during campaign
889
6280
1
Yes
175
2
No
677
8
Not sure
37
Sysmiss
6280
Anyone sleep under this net last night
7169
0
1
Yes
5745
2
No
1386
8
Not sure
38
Line No. of 1st person who slept under net
5726
1443
1
1665
2
1405
3
1288
4
627
5
334
6
182
7
88
8
61
9
28
10
20
11
10
12
5
13
4
14
1
15
1
16
3
17
1
18
1
22
1
25
1
99
Missing
0
Sysmiss
1443
Line No. of 2nd person who slept under net
3588
3581
0
No more
0
1
844
2
785
3
439
4
622
5
323
6
242
7
163
8
74
9
39
10
18
11
13
12
5
13
3
14
2
15
4
16
1
17
5
18
2
19
2
20
1
25
1
Sysmiss
3581
Line No. of 3rd person who slept under net
1292
5877
0
No more
0
1
233
2
235
3
144
4
165
5
205
6
127
7
71
8
40
9
29
10
14
11
9
12
7
13
4
14
2
15
4
17
2
18
1
Sysmiss
5877
Line No. of 4th person who slept under net
255
6914
0
No more
0
1
37
2
36
3
3
4
53
5
29
6
39
7
31
8
13
9
5
10
3
11
1
12
1
13
1
16
1
18
1
19
1
Sysmiss
6914
Line No. of 5th person who slept under net
38
7131
0
No more
0
1
2
2
3
3
1
4
1
5
11
6
6
7
4
8
4
9
3
10
2
20
1
Sysmiss
7131
Line No. of 6th person who slept under net
9
7160
0
No more
0
5
1
6
1
7
3
8
1
9
1
11
1
12
1
Sysmiss
7160
Line No. of 7th person who slept under net
1
7168
0
No more
0
9
1
Sysmiss
7168
NetID
7169
0
Line No. of 1st person who slept under net
5726
0
Line No. of 2nd person who slept under net
3591
0
Line No. of 3rd person who slept under net
1292
0
Line No. of 4th person who slept under net
255
0
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{F867F74B-A5B6-4F8F-B909-B5E830E114E8}
1
{F896FC87-E8A6-4B2A-8C18-E83CBBD6AA38}
1
{F8B014F3-F330-4F89-97A0-FF60ADC15CE4}
1
{F8BC2DAE-BDD5-4C51-8D6C-201641D2E455}
1
{F8C47065-5D40-49D4-98E7-C95F729ADD32}
1
{F8DA1DAA-40FC-4EEE-A6AA-349552DE0893}
1
{F9139FED-A6F6-44BE-9F15-C55AA64A99DF}
1
{F929308F-9202-41E2-8675-819D45C915BB}
1
{F9AE259A-C3F3-40F9-B8F7-102A9491EB0A}
1
{F9F2A339-693E-4CBB-B264-D42908B8BDFC}
1
{FA009DAE-28FA-468B-B3D3-5532EC034B7A}
1
{FA3D1881-0BC2-4700-9C8D-93FEAA71F207}
1
{FABF6234-69C9-45E8-839E-EDF738DE28FF}
1
{FACBF781-BA2E-42E0-87D7-C5E15FFF7E34}
1
{FB61A8AB-21A5-4C83-84F5-C6C68B8D7B95}
1
{FB79BEB0-FC8F-4874-B62E-6129DA08AD83}
1
{FBF998AD-2850-4655-9095-BD41DEE6773D}
1
{FC22D3A1-756A-481C-A396-DA8F1D45C1BE}
1
{FC58D0C4-9F5E-4881-B3BA-13EED2CE3F79}
1
{FD3DB53F-6917-4F81-A2B8-5BC8115AE614}
1
{FE8455A1-FD1F-4CE0-88B8-C36960106254}
1
{FF2A8476-2C9F-40FE-88F6-4C92FFAB67A5}
1
{FF4B2055-4F83-4273-91E9-CD2C3EC88927}
1
{FFE45FBB-4340-4EAB-9C46-5E572C53FE8A}
1
Line No. of 5th person who slept under net
38
0
{423FEC6E-0DE4-4CEC-B3A9-E09D93F91E27}
1
{4680DB4A-1F0E-4DFB-B415-4FD638205CC7}
1
{763AA4F5-CE61-4E7E-8B6D-755C2966CF42}
1
{76677377-BC89-4E9F-AED8-1523B3BA6437}
1
{8756D94D-E965-467E-BBB9-EFD0452E05CD}
1
{890ED870-E0F8-4E07-80FF-AE48243B9046}
1
{97FD9554-93B1-446E-86AE-4185EF1D0F6E}
1
{A06CA082-23C4-45E6-8CAB-EFB765237E88}
1
{A4227440-F0B7-43E6-981F-2C18AF45AD46}
1
{ACBC262D-057C-47D7-B71E-028A97FF7AEA}
1
{B3F48ADF-E82B-4816-A001-DE15C582AF66}
1
{B47CE79C-B60C-4A54-AEDD-877F1B9BDAD4}
1
{B52E49A2-948A-4FE3-8FA6-955E21197512}
1
{BA6CB761-6B4B-4CA2-B3AD-15AD8C9B35AF}
1
{BC1BDE7E-F0A4-4373-A6AA-A1D1C9B5E9AB}
1
{BC79463C-F36E-4087-B3C4-6EE0DB62715F}
1
{BF22C007-A3D3-4239-8CD1-C5D98002AF3B}
1
{C259A38C-4DE9-4065-8057-BFC165C63E67}
1
{C965CDBE-86BB-4B5B-AEC3-9D69A19498DB}
1
{CB36C011-BCD8-4C15-A627-30DD926CD28A}
1
{D1D86B79-89A4-4201-9A57-45E3CC087BC2}
1
{D2D00D13-23F0-43B5-82E3-836F83434C05}
1
{DA0C23D9-370E-4EC5-AB94-14E87BBF48FE}
1
{DC027DC1-14BF-4132-9DE3-8E275B85BE06}
1
{E28F039E-A8B7-4E51-BEE9-73660CA3F6E5}
1
{E2AA0EEE-AE66-4604-B660-7BC0023BAD4E}
1
{EF1609A4-3478-486A-B0D5-00D5EBBA63FF}
1
{EF55952B-60DF-41CB-A690-4FC6E1C6E4C9}
1
{F0596525-64E8-4345-B4D3-F3FDBB0EAC80}
1
{F2DC23E6-7190-443C-9DEB-B8B7E675DA41}
1
{F4C2AD57-AA1F-43EC-86A6-5EF5DD6532A2}
1
{F6240CDD-E1A9-4C12-84BC-BE2F11ADB4C7}
1
{FC4A2E12-C40E-464B-94ED-B91F5911C205}
1
{FD30DF5F-FEBE-4938-9CE0-3B26A527EFE5}
1
{FD9CDD95-D063-4A26-970C-33475ACFFF87}
1
{FE73EAF4-18A1-434A-A90B-4F55AD99B3F3}
1
{FE7B05CC-A3C6-41FA-B4D3-3386F45CDFCD}
1
{FF75DC6E-EF07-4980-94E4-85F77B38880E}
1
Line No. of 6th person who slept under net
9
0
{ADD7A062-1DAA-4493-8F4B-8FA72D59C08F}
1
{B538E0F0-500B-468B-B045-7851B5B7EFE3}
1
{BA11DA2E-F2AE-4DE7-A85E-D9B7FCA3BD3F}
1
{BDDF6598-7051-4C26-B486-268FE03F4DD2}
1
{D71D4BEE-E73A-4FA6-B26B-268C078A5FA6}
1
{D8CAC26E-2741-4361-91A3-7201FE20CC56}
1
{DAFE5396-151D-4633-8270-C8D066BF6D9C}
1
{E2A2AA61-B7BE-46E8-9313-DB44E9486989}
1
{FC4D6BA2-D2F8-4135-9375-CD7028834849}
1
Line No. of 7th person who slept under net
1
0
{EBFB1834-268C-4780-A1DB-982E39B720E2}
1
ITN net
7169
0
0
No, don't know
1114
1
Yes
6055
LLIN net
7169
0
0
No, don't know
1897
1
Yes
5272
sea_id
6538
0
6
1784
765.091
490.743
HouseID
6538
0
1
33
15.175
8.612
Net color
6520
18
10
Green
1429
20
Blue
3360
30
Red
0
40
White
1499
50
Black
0
96
Other
232
99
18
Net shape
6520
18
10
Conical
2869
20
Rectangular
3453
96
Other
198
99
18
Can hang a mosquito net
6520
18
1
Extremely confident
3557
2
Very confident
2011
3
A little confident
625
4
Not at all confident
227
98
?
100
99
18
Imporatnce of sleeping under a net for children
6520
18
1
Extremely confident
3924
2
Very confident
2119
3
A little confident
301
4
Not at all confident
57
98
?
119
99
18
How frequently uses a mosquito net
6520
18
1
All the time
221
2
Sometimes
323
3
Rarely
273
4
Never
5509
98
Don't know
194
99
18
Treated net safe to sleep under
6520
18
1
Strongly agree
4709
2
Somewhat agree
1373
3
Somewhat disagree
183
4
Strongly disagree
81
98
Don't know
174
99
18
Most people sleep under a ITN every night
6520
18
1
Strongly agree
1834
2
Somewhat agree
1955
3
Somewhat disagree
881
4
Strongly disagree
774
98
Don't know
1076
99
18
Can hang a net anywhere
6520
18
1
Strongly agree
3620
2
Somewhat agree
1639
3
Somewhat disagree
596
4
Strongly disagree
564
98
Don't know
101
99
18
Malaria risk during rainy season
6520
18
1
Strongly agree
2909
2
Somewhat agree
1178
3
Somewhat disagree
789
4
Strongly disagree
1529
98
Don't know
115
99
18
sea_id
13252
0
6
1784
743.939
453.777
HouseID
13252
0
1
33
15.106
8.681
Line number
13252
0
1
4800
2
3618
3
2304
4
1321
5
679
6
284
7
115
8
52
9
25
10
20
11
10
12
9
13
6
14
4
15
2
16
2
17
1
Line number in household schedule
13252
0
1
28
1
Head of household
8
Day of birth
7564
5688
1
31
98
DK
Month of birth
9302
3950
1
851
2
677
3
682
4
842
5
948
6
905
7
807
8
824
9
742
10
672
11
626
12
726
97
Inconsistent
0
98
DK
0
99
3950
Year of birth
13252
0
1995
162
1996
653
1997
719
1998
780
1999
674
2000
978
2001
698
2002
916
2003
883
2004
963
2005
1010
2006
1021
2007
1118
2008
1043
2009
1046
2010
588
9997
Inconsistent
0
9998
DK
0
Child born in 1995 or later
13252
0
1
Yes
13252
2
No
0
Born in month of interview or previous 2 months
13252
0
1
Yes
218
2
No
13034
Line no. of parent/caretaker
12499
753
1
6104
2
5499
3
364
4
190
5
142
6
70
7
49
8
30
9
19
10
11
11
12
12
1
13
5
14
3
Sysmiss
753
Read consent statement - Anaemia
12548
704
1
Granted
11837
2
Refused
711
9
486
Sysmiss
218
Read consent statement - Malaria
12548
704
1
Granted
11950
2
Refused
598
9
486
Sysmiss
218
Result of measuring (Hemoglobin)
11837
1415
1
Measured
11711
2
Not present
17
3
Refused
55
6
Other
54
Sysmiss
1415
Hemoglobin level (g/dl)
11711
1541
0
17.5
12.193
1.837
Result of measuring (Malaria)
11950
1302
1
Measured
11859
2
Not present
24
3
Refused
62
6
Other
5
Sysmiss
1302
Bar Code
11848
0
Malaria result
11859
1393
1
Positive
1863
2
Negative
9989
6
Other
7
Sysmiss
1393
Malaria treatment
1863
11389
1
Accepted medicine
1802
2
Refused
0
3
Already has ACT
11
4
Not eligible
44
6
Other
6
Sysmiss
11389
Child's CMC of birth
13252
0
1142
1328
1245.485
50.521
Date flag for child's date of birth
13252
0
1
Month and year
10504
2
Month and age -y imp
0
3
Year and age - m imp
2747
4
Y & age - y ignored
0
5
Year - a, m imp
0
6
Age - y, m imp
1
7
Month - a, y imp
0
8
None - all imp
0
Imputed month of birth
13252
0
1
1326
2
1204
3
1189
4
1341
5
1429
6
1424
7
1293
8
1217
9
784
10
679
11
630
12
736
Child's year of birth
13252
0
1995
164
1996
652
1997
719
1998
778
1999
677
2000
977
2001
701
2002
913
2003
886
2004
963
2005
1009
2006
1020
2007
1112
2008
1049
2009
1045
2010
587
Mother's line number from individual questionnaire
13252
0
1
1956
2
4866
3
252
4
132
5
65
6
58
7
28
8
24
9
13
10
10
11
7
12
1
17
3
18
5
19
2
993
Mother not de facto member
0
994
Incomplete interview
0
995
Not in household
0
996
Not in woman's BH
5830
Birth order of child
7422
5830
1
2218
2
1757
3
1184
4
816
5
561
6
350
7
226
8
146
9
82
10
45
11
19
12
8
13
6
14
2
15
2
99
5830
Birth interval
4720
8532
0
199
35.569
23.074
Mother's highest educational level
7422
5830
0
none
1533
1
Nursery/Kindergarten
20
2
Primary
4267
3
Post-Primary/Vocational
96
4
Secondary/ 'A' level
1217
5
College (Middle level)
256
6
University
33
9
5830
Mother's highest grade at that level
5874
7378
0
66
1
177
2
575
3
416
4
1063
5
387
6
585
7
959
8
1625
9
1
10
7
12
7
14
5
15
1
99
5845
Sysmiss
1533
Mother's highest educational level (CS for preliminary & final report)
7422
5830
0
No education
1553
1
Primary incomplete
2570
2
Primary complete
1793
3
Secondary incomplete
511
4
Secondary complete
706
5
Higher
289
9
5830
ID in household schedule
13252
0
ID no. of parent/caretaker
12572
0
Result of measuring (Hemoglobin)
13252
0
0
Measured
11711
3
Not present
17
4
Refused
1470
5
0
6
Other
54
Hemoglobin level adjusted by altitude (g/dl - 1 decimal)
11711
1541
-10
175
117.736
18.017
Anemia level
11711
1541
1
Severe
156
2
Moderate
1476
3
Mild
1638
4
Not anemic
8441
9
1541
Final result of malaria from blood smear test
0
13252
0
Negative
0
1
Positive
0
Sysmiss
13252
Result of malaria measurement
0
13252
0
Measured
0
3
Not present
0
4
Refused
0
6
Other
0
Sysmiss
13252
Result of malaria paracheck test (rapid test)
0
13252
0
Negative
0
1
Positive
0
Sysmiss
13252
Lab result (pos/neg/not read)
11575
1677
0
Negative
10158
1
Positive
1408
8
Not read
9
Sysmiss
1677
Species ID
11575
1677
0
Negative
10158
1
Pf
1124
2
Pf/Pm
159
3
Pf/Pm/Po
8
4
Pf/Po
66
5
Pm
27
6
Po
24
8
Not read
9
Sysmiss
1677
Density
11575
1677
0
999998
0
Negative
10182
999998
Not read
9
Line number of woman
6330
0
1
1389
2
3080
3
576
4
428
5
329
6
205
7
137
8
87
9
35
10
28
11
16
12
4
13
4
14
3
15
1
16
2
17
1
18
2
19
2
20
1
Cluster number
6330
0
6
1784
768.839
483.128
Household number
6330
0
1
33
15.13
8.595
Region of residence
6330
0
1
NBO
265
2
Central
849
3
Coast
1061
4
Eastern
748
5
N/Eastern
134
6
Nyanza
1085
7
R/Valley
1507
8
Western
681
City\Town\Countryside
0
6330
1
Large city
0
2
Small city
0
3
Town
0
4
Rural
0
Sysmiss
6330
Date of interview
6330
0
1092010
31082010
21411006.84
7217126.907
Interviewer number
0
6330
Sysmiss
6330
Result of individual interview
6330
0
1
Completed
5901
2
Not at home
0
3
Postponed
0
4
Refused
0
5
Partly completed
242
6
Incapacitated
0
7
Other
187
Total number of visits
0
6330
Sysmiss
6330
Supervisor number
0
6330
Sysmiss
6330
Date of interview (CMC)
6330
0
1327
1843
1328
4189
1329
298
Sample weight (6 decimals)
6330
0
0
12469762
908214.839
1085794.619
Type of place of residence
0
6330
1
Urban
0
2
Rural
0
Sysmiss
6330
6330
0
Line number of woman
5901
0
1
1337
2
2912
3
518
4
379
5
284
6
178
7
124
8
81
9
29
10
25
11
15
12
4
13
4
14
3
15
1
16
2
17
1
18
2
19
2
Start of interview
5901
0
9999
5901
Date of birth
5901
0
11961
999999
454260.434
457987.225
Current age of respondent
5899
2
15
49
97
Inconsistent
98
DK
Ever attended school
5901
0
1
Yes
4943
2
No
958
Highest educational level
4943
958
0
none
0
1
Nursery/Kindergarten
16
2
Primary
3026
3
Post-Primary/Vocational
79
4
Secondary/ 'A' level
1481
5
College (Middle level)
304
6
University
37
Sysmiss
958
Highest grade at that level
4923
978
0
145
1
243
2
553
3
380
4
966
5
252
6
399
7
770
8
1201
9
2
10
2
12
5
13
1
14
3
15
1
99
20
Sysmiss
958
Sentence read
4048
1853
1
Cannot read at all
1064
2
Read only parts of sentence
962
3
Read whole sentence
2010
4
No card with required language
4
5
Blind/visually impaired
8
9
31
Sysmiss
1822
Religion
5901
0
11
Roman Catholic
1283
21
Protestant/Other Christian
3567
31
Muslim
712
41
No religion
148
98
DK
31
99
Other (specify)
160
Ethnicity
5870
31
1
Embu
50
2
Kalenjin
932
3
Kamba
379
4
Kikuyu
1066
5
Kisii
284
6
Luhya
645
7
Luo
761
8
Masai
147
9
Meru
251
10
Mijikenda/ Swahili
642
11
Somali
147
12
Taita/ Taveta
129
96
Other
437
99
31
Date of birth (CMC)
5901
0
728
1148
982.206
110.128
Date flag for Q102C
5901
0
1
Month and year
3420
2
Month and age -y imp
0
3
Year and age - m imp
2448
4
Y & age - y ignored
0
5
Year - a, m imp
0
6
Age - y, m imp
27
7
Month - a, y imp
0
8
None - all imp
0
9
6
Age of respondent calculated
5901
0
15
49
28.428
9.183
Highest educational level
5901
0
0
No education
974
1
Primary incomplete
1731
2
Primary complete
1374
3
Secondary incomplete
737
4
Secondary complete
744
5
Higher
341
Age
5901
0
1
15-19
1147
2
20-24
1207
3
25-29
1063
4
30-34
895
5
35-39
655
6
40-44
516
7
45-49
418
Imputed month of birth
5901
0
1
689
2
556
3
525
4
582
5
690
6
689
7
569
8
608
9
247
10
184
11
197
12
365
Imputed year of birth
5901
0
1960
1995
1981.389
9.171
Line number of woman
5901
0
1
1337
2
2912
3
518
4
379
5
284
6
178
7
124
8
81
9
29
10
25
11
15
12
4
13
4
14
3
15
1
16
2
17
1
18
2
19
2
Ever given birth
5901
0
1
Yes
4464
2
No
1437
Sons or daughters living with
5901
0
1
Yes
4155
2
No
1746
Sons at home
5901
0
0
2678
1
1577
2
919
3
440
4
177
5
73
6
26
7
7
8
3
9
1
Daughters at home
5901
0
0
2776
1
1548
2
918
3
404
4
185
5
44
6
20
7
4
8
2
Sons or daughters living away
5901
0
1
Yes
1421
2
No
4480
Sons living elsewhere
5901
0
0
4983
1
585
2
226
3
78
4
21
5
7
6
1
Daughters living elsewhere
5901
0
0
4906
1
614
2
224
3
107
4
36
5
10
6
4
Sons or daughters who died
5901
0
1
Yes
806
2
No
5095
Boys who died
5901
0
0
5396
1
404
2
73
3
20
4
4
5
2
6
2
Girls who died
5901
0
0
5443
1
368
2
69
3
12
4
5
5
2
6
1
8
1
Total children ever born
5901
0
0
1503
1
854
2
923
3
733
4
581
5
456
6
295
7
188
8
143
9
106
10
67
11
25
12
10
13
6
14
5
15
5
22
1
Births in BH
5901
0
0
2262
1
1195
2
944
3
559
4
332
5
236
6
147
7
89
8
68
9
31
10
26
11
8
12
1
13
3