RWA_2013_MIS_v01_M
DDI_RWA_2013_MIS_v01_M_WB
Development Data Group
2014-06-09
Nesstar Publisher
Version 01 (June 2014)
Malaria Indicator Survey 2013
MIS 2013 / RMIS 2013
RWA_2013_MIS_v01_M
Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center
National Institute of Statistics
ICF International
Nesstar Publisher
Government of Rwanda
United States Agency for International Development
Global Fund to Fight AIDS, Tuberculosis and Malaria
Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center
Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center
Information about The DHS Program
General Inquiries
Data and Data Related Resources
Demographic and Health Survey, Special [hh/dhs-sp]
The Rwanda Malaria Indicator Survey (2013 RMIS) is the first survey of its kind in Rwanda. It selects a nationally representative sample of 4,770 households from 159 sample clusters. The survey is designed to provide information on the following key malaria control indictors: (1) the proportion of households having at least one mosquito net and at least one insecticide-treated net (ITN); (2) the proportion of children under age 5 who slept under a mosquito net and under an ITN the night before the survey; (3) and the proportion of pregnant women who slept under a mosquito net and under an ITN the night before the survey.
Rwanda
National coverage
Sample survey data [ssd]
Malaria and Other Parasitic Diseases Division of the Rwanda Biomedical Center
Face-to-face [f2f]
Processing of the 2013 RMIS data began as soon as questionnaires were received from the field. Completed questionnaires were returned from the field to MAL & OPD Division headquarters, where they were entered and edited by data processing personnel who were specially trained for this task. Processing the data concurrently with data collection allowed for regular monitoring of team performance and data quality. Field check tables were regularly generated during data processing to check various data quality parameters. As a result, feedback was given on a regular basis, encouraging teams to continue their high quality work and to correct areas in need of improvement. Feedback was individually tailored to each team. Data entry, which included 100 percent double entry to minimize errors in keying and data editing, was completed on May 10, 2013. Data cleaning and finalization was completed on June 3, 2013.
The DHS Program
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.
RECH0.NSDstat
4772
38
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECH1.NSDstat
20914
31
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECH2.NSDstat
4766
92
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECH3.NSDstat
4766
7
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECHMH.NSDstat
20914
25
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECHML.NSDstat
7976
21
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC01.NSDstat
5164
40
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC11.NSDstat
5135
56
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC21.NSDstat
3845
20
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC22.NSDstat
5135
24
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC41.NSDstat
2313
17
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC42.NSDstat
5135
7
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC43.NSDstat
3104
52
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC81.NSDstat
5135
15
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
REC91.NSDstat
5135
72
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
RECML.NSDstat
3104
65
Nesstar 200801
This data dictionary was generated from CSPro hierarchical data that was downloaded from the DHS website(http://dhsprogram.com) in May 2017.
Case Identification
Country code and phase
Cluster number
Household number
Respondent's line number (answering Household questionnaire)
0
Incomplete household
Ultimate area unit
Household sample weight (6 decimals)
Month of interview
Year of interview
Date of interview (CMC)
Number of household members
Number of eligible women in household
NA - Number of eligible men in household
Number of de jure members
Number of de facto members
Number of children 5 and under (de jure)
Result of household interview
1
Completed
2
No Household member/no competent member at home
3
Entire Household absent for extended period of time
4
Postponed
5
Refused
6
Dwelling vacant or address not a dwelling
7
Dwelling destroyed
8
Dwelling not found
9
Other
Day of interview
Number of visits
Interviewer identification
Keyer identification
Ever-married sample
0
All woman sample
1
Ever married sample
Primary sampling unit
Sample strata for sampling errors
Stratification used in sample design
Region
1
Kigali
2
South
3
West
4
North
5
East
Type of place of residence
1
Urban
2
Rural
NA - Place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
NA - Household selected for male interview
0
Not selected
1
Men's survey
2
Husband's survey
NA - Household weight for male subsample (6 decimals)
Field supervisor
NA - Field editor
Office editor
NA - Number of eligible children for height and weight
NA - Cluster altitude in meters
NA - Total adults measured
NA - Household selected for hemoglobin
0
Not selected
1
Selected
NA - Household selected for Domestic Violence module
0
Household not selected
1
Household selected
Case Identification
Line number
Relationship to head
1
Head
2
Wife or husband
3
Son/daughter
4
Son/daughter-in-law
5
Grandchild
6
Parent
7
Parent-in-law
8
Brother/sister
9
Co-spouse
10
Other relative
11
Adopted/foster child
12
Not related
13
Niece/nephew by blood
14
Niece/nephew by marriage
98
Don't know
Usual resident
0
No
1
Yes
Slept last night
0
No
1
Yes
Sex of household member
1
Male
2
Female
Age of household members
97
97+
98
Don't know
NA - Highest educational level attained
0
No education, preschool
1
Primary
2
Secondary
3
Higher
8
Don't know
NA - Highest year of education completed
98
Don't know
NA - Education completed in single years
97
Inconsistent
98
Don't know
NA - Educational attainment
0
No education
1
Incomplete primary
2
Complete primary
3
Incomplete secondary
4
Complete secondary
5
Higher
8
Don't know
NA - Member still in school
0
No
1
Yes
NA - Mother alive
0
No
1
Yes
8
Don't know
NA - Mother's line number
0
Mother not in household
NA - Father alive
0
No
1
Yes
8
Don't know
NA - Father's line number
0
Father not in household
Current marital status
0
Never married/never lived together
1
Married/living together
2
Living together
3
Widowed
4
Divorced/separated
5
Not living together
Currently, formerly, never married
0
Never married
1
Currently married
2
Formerly/ever married
Eligibility for female interview
0
Not eligible
1
Eligible
NA - Eligibility for male interview
0
Not eligible
1
Eligible
NA - Children eligibility for height/weight and hemoglobin
0
Not eligible
1
Eligible
NA - Member attended school during current school year
0
No
1
Currently attending
2
Attended at some time
NA - Educational level during current school year
0
No education, preschool
1
Primary
2
Secondary
3
Higher
8
Don't know
NA - Grade of education during current school year
98
Don't know
NA - Education in single years - current school year
97
Inconsistent
98
Don't know
NA - Member attended school during previous school year
0
No
1
Yes
NA - Educational level during previous school year
0
No education, preschool
1
Primary
2
Secondary
3
Higher
8
Don't know
NA - Grade of education during previous school year
98
Don't know
NA - Education in single years - previous school year
97
Inconsistent
98
Don't know
NA - School attendance status
0
Never attended
1
Entered school
2
Advanced
3
Repeating
4
Dropout
5
Left school 2+ years ago
8
Don't know
NA - Member has a birth certificate
0
Neither certificate or registered
1
Has certificate
2
Registered
8
Don't know
Case Identification
Source of drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE WATER
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
96
Other
NA - Source of non-drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE WATER
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
96
Other
Time to get to water source (minutes)
996
On premises
998
Don't know
Type of toilet facility
10
FLUSH TOILET
11
Flush to piped sewer system
12
Flush to septic tank
13
Flush to pit latrine
14
Flush to somewhere else
15
Flush, don't know where
20
PIT TOILET LATRINE
21
Ventilated Improved Pit latrine (VIP)
22
Pit latrine with slab
23
Pit latrine without slab/open pit
30
NO FACILITY
31
No facility/bush/field
41
Composting toilet
42
Bucket toilet
43
Hanging toilet/latrine
96
Other
Has electricity
0
No
1
Yes
Has radio
0
No
1
Yes
Has television
0
No
1
Yes
Has refrigerator
0
No
1
Yes
Has bicycle
0
No
1
Yes
Has motorcycle/scooter
0
No
1
Yes
Has car/truck
0
No
1
Yes
Main floor material
10
NATURAL
11
Earth, sand
12
Dung
20
RUDIMENTARY
21
Wood planks
22
Palm, bamboo
30
FINISHED
31
Parquet, polished wood
32
Vinyl, asphalt strips
33
Ceramic tiles
34
Cement
35
Carpet
96
Other
Main wall material
10
NATURAL
11
No walls
12
Cane / palm / trunks
13
Dirt
20
RUDIMENTARY
21
Bamboo with mud
22
Stone with mud
23
Uncovered adobe
24
Plywood
25
Cardboard
26
Reused wood
30
FINISHED
31
Cement
32
Stone with lime / cement
33
Bricks
34
Cement blocks
35
Covered adobe
36
Wood planks / shingles
96
Other
Main roof material
10
NATURAL
11
No roof
12
Thatch / palm leaf
13
Sod
20
RUDIMENTARY
21
Rustic mat
22
Palm / bamboo
23
Wood planks
24
Cardboard
30
FINISHED
31
Metal
32
Wood
33
Calamine / cement fiber
34
Ceramic tiles
35
Cement
36
Roofing shingles
96
Other
Number of rooms used for sleeping
Relationship structure
0
No adults
1
One adult
2
Two adults, opposite sex
3
Two adults, same sex
4
Three+ related adults
5
Unrelated adults
Line number of head of household
Sex of head of household
1
Male
2
Female
Age of head of household
97
97+
98
Don't know
Has telephone (land-line)
0
No
1
Yes
Share toilet with other households
0
No
1
Yes
Type of cooking fuel
1
Electricity
2
LPG
3
Natural gas
4
Biogas
5
Kerosene
6
Coal, lignite
7
Charcoal
8
Wood
9
Straw/shrubs/grass
10
Agricultural crop
11
Animal dung
95
No food cooked in house
96
Other
Has mosquito bed net for sleeping
0
No
1
Yes
Children under 5 slept under mosquito bed net last night
0
No
1
All children
2
Some children
3
No net in household
NA - Place where household members wash their hands
1
Observed
2
Not observed: not in dwelling
3
Not observed: no permission to see
4
Not observed: other reason
NA - Presence of water at hand washing place
0
Water not available
1
Water is available
NA - Items present: Soap or detergent
0
No
1
Yes
NA - Items present: Ash, mud, sand
0
No
1
Yes
NA - Items present: CS
0
No
1
Yes
NA - Items present: CS
0
No
1
Yes
NA - Items present: CS
0
No
1
Yes
NA - Items present: None
0
No
1
Yes: no cleansing agent observed
NA - Result of salt test for iodine (PPM)
0
0 PPM (no iodine)
7
Below 15 PPM
15
15 PPM and above
30
30 PPM
994
Salt not tested
995
No salt in household
NA - Result of salt test for iodine
0
No iodine
1
Iodine present
3
No salt in household
6
Salt not tested
Location of source for water
1
In own dwelling
2
In own yard/plot
3
Elsewhere
NA - Person fetching water
1
Adult woman
2
Adult man
3
Female child under 15 years old
4
Male child under 15 years old
6
Other
NA - Anything done to water to make safe to drink
0
No
1
Yes
8
Don't know
NA - Water usually treated by: boil
0
No
1
Yes
8
Don't know
NA - Water usually treated by: add bleach/chlorine
0
No
1
Yes
8
Don't know
NA - Water usually treated by: strain through a cloth
0
No
1
Yes
8
Don't know
NA - Water usually treated by: use water filter
0
No
1
Yes
8
Don't know
NA - Water usually treated by: solar disinfection
0
No
1
Yes
8
Don't know
NA - Water usually treated by: let it stand and settle
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: CS
0
No
1
Yes
8
Don't know
NA - Water usually treated by: other
0
No
1
Yes
8
Don't know
NA - Water usually treated by: don't know
0
No
1
Yes: don't know what is done to water
8
Don't know
Number of households sharing toilet
95
10 or more households
98
Don't know
NA - Food cooked on stove or open fire
1
Open fire
2
Open stove
3
Closed stove with chimney
6
Other
NA - Household has a chimney, hood or neither
0
Neither chimney or hood
1
Chimney
2
Hood
NA - Food cooked in the house/ separate building/ outdoors
1
In the house
2
In a separate building
3
Outdoors
6
Other
NA - Household has separate room used as kitchen
0
No
1
Yes
Has mobile telephone
0
No
1
Yes
Has watch
0
No
1
Yes
Has animal-drawn cart
0
No
1
Yes
Has boat with a motor
0
No
1
Yes
Owns land usable for agriculture
0
No
1
Yes
Hectares of agricultural land (1 decimal)
950
95 or more
998
Unknown
Owns livestock, herds or farm animals
0
No
1
Yes
Owns cattle
0
None
95
95 or more
98
Unknown
Owns cows/ bulls
0
None
95
95 or more
98
Unknown
Owns horses/ donkeys/ mules
0
None
95
95 or more
98
Unknown
Owns goats
0
None
95
95 or more
98
Unknown
Owns sheep
0
None
95
95 or more
98
Unknown
Owns chickens
0
None
95
95 or more
98
Unknown
NA - Owns local cows
0
None
95
95 or more
98
Unknown
Owns milk cows
0
None
95
95 or more
98
Unknown
Owns bulls
0
None
95
95 or more
98
Unknown
Owns Pigs
0
None
95
95 or more
98
Unknown
Owns Rabbits
0
None
95
95 or more
98
Unknown
Has bank account
0
No
1
Yes
NA - Frequency household members smoke inside the house
0
Never
1
Daily
2
Weekly
3
Monthly
4
Less than monthly
Has dwelling been sprayed against mosquitoes in last 12 months
0
No
1
Yes
8
Don't know
Dwelling sprayed by: government worker/program
0
No
1
Yes
8
Don't know
Dwelling sprayed by: private company
0
No
1
Yes
8
Don't know
Dwelling sprayed by: NGO
0
No
1
Yes
8
Don't know
NA - Dwelling sprayed by: CS
0
No
1
Yes
8
Don't know
NA - Dwelling sprayed by: CS
0
No
1
Yes
8
Don't know
NA - Dwelling sprayed by: CS
0
No
1
Yes
8
Don't know
NA - Dwelling sprayed by: CS
0
No
1
Yes
8
Don't know
NA - Dwelling sprayed by: CS
0
No
1
Yes
8
Don't know
Dwelling sprayed by: other
0
No
1
Yes
8
Don't know
Dwelling sprayed by: don't know
0
No
1
Yes: don't know who sprayed the dwelling
8
Don't know if it was sprayed
NA - Wealth index
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
NA - Wealth index factor score (5 decimals)
Number of mosquito bed nets
98
Don't know
Number of mosquito bed nets with specific information
Number of children under mosquito bed net previous night
Case Identification
Has computer
0
No
1
Yes
Has boat without a motor
0
No
1
Yes
When nets usually washed
1
Never wash
2
Usually wash in the morning
3
Usually wash in the afternoon
4
Usually wash in the evening
Why nets are washed
1
Because the net is dirty
2
Because the net smells bad
6
Other reason
Type of soap used to wash nets
1
Regular washing soap (paste)
2
Power soap
3
Only water
Net color preference
1
White
2
Blue
3
Pink
4
Green
6
Other
Case Identification
Index to Household Schedule
Type of Mosquito Bed Net(s) person slept under last night
0
Did not sleep under a net
1
Only treated (ITN) nets
2
Both treated (ITN) and untreated nets
3
Only untreated nets
Net Designation Number (HMLIDX) for 1st net person slept under last night
0
Did not sleep under net
NA - Net Designation Number (HMLIDX) for 2nd net person slept under last night
NA - Net Designation Number (HMLIDX) for 3rd net person slept under last night
Corrected age from Individual file
97
97+
98
Don't know
NA - Age in months (for children)
Flag for age from Individual file
0
No data from Individual file
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Pregnancy status from Individual file
0
Not pregnant, don't know
1
Pregnant
Person slept under an ever-treated net
0
No
1
Yes
Person slept under an LLIN net
0
No
1
Yes
NA - Line number of parent/caretaker (for malaria testing)
0
Not in household
NA - Read consent statement for malaria
1
Granted
2
Refused
NA - Final result of malaria from blood smear test
0
Negative
1
Positive
6
Test undetermined
7
Sample not found in lab database
NA - Presence of species: falciparam (Pf)
0
No
1
Yes
NA - Presence of species: malari (Pm)
0
No
1
Yes
NA - Presence of species: ovale (Po)
0
No
1
Yes
NA - Presence of species: vwax (Pv)
0
No
1
Yes
NA - Presence of species: CS
0
No
1
Yes
NA - Presence of species: CS
0
No
1
Yes
NA - Presence of species: CS
0
No
1
Yes
NA - Result of malaria measurement
0
Measured
3
Not present
4
Refused
6
Other
Bar code for blood smear sample
NA - Result of malaria rapid test
0
Negative
1
Positive
Case Identification
Mosquito Bed Net Designation Number
Net observed by interviewer
0
Not seen
1
Yes, seen
Months ago net obtained
96
More than 3 years ago
98
Don't know
NA - Net treated with insecticide when bought
0
No
1
Yes
8
Don't know
Net treatment status
0
Not pretreated
1
Pretreated, permanent treatment
2
Pretreated, requiring future treatment
3
Not pretreated, came with kit and treated at home
4
Pretreated, treatment type not known
6
Other
8
Don't know
Brand of net
10
Long-lasting insectiside treated nets (LLIN)
11
Permanet/Mama net/ Tuzanet/ Olyset/ Net protect
16
Other/DK Brand (permanent)
20
Pretreated net
96
Other brand
98
DK brand
Net treated since receiving
0
No
1
Yes
2
Permanent net
8
Not sure
Time since last re-treatment (months)
95
25+ months ago
96
More than 3 years ago
98
Don't know
Insecticide-Treated Net (ITN)
0
No, don't know
1
Yes
Number of persons who slept under this net
5
5+
Someone slept under this net last night
0
No
1
Yes
8
Not sure (DK)
Line number of person who slept in this net
0
No one
Line number of person who slept in this net
Line number of person who slept in this net
Line number of person who slept in this net
Line number of person who slept in this net
How net was obtained
11
During immunization of children
12
During immunization campaign
13
During ANC visit
14
From a community health worker
15
From pharmacy
16
From shop
96
Other
Net has holes equal to or larger than the tip of a thumb
0
No
1
Yes
Net shape
1
Conical
2
Rectangle
Times net was washed since got it
0
Never washed
95
More than 95 times
98
Not sure
Case Identification
Case Identification
Country code and phase
Cluster number
Household number
Respondent's line number
Ultimate area unit
Women's individual sample weight (6 decimals)
Month of interview
Year of interview
Date of interview (CMC)
Respondent's month of birth
Respondent's year of birth
Date of birth (CMC)
Respondent's current age
Age in 5-year groups
1
15-19
2
20-24
3
25-29
4
30-34
5
35-39
6
40-44
7
45-49
Completeness of age information
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Result of individual interview
1
Completed
2
Not at home
3
Postponed
4
Refused
5
Partially completed
6
Respondent incapacitated
7
Other
Day of interview
NA - CMC start of calendar
NA - Row of month of interview
0
No calendar
NA - Length of calendar
0
No calendar
NA - Number of calendar columns
0
No calendar
Ever-married sample
0
All woman sample
1
Ever married sample
Primary sampling unit
Sample strata for sampling errors
Stratification used in sample design
Region
1
Kigali
2
South
3
West
4
North
5
East
Type of place of residence
1
Urban
2
Rural
NA - e facto place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
Number of visits
Interviewer identification
Keyer identification
Field supervisor
NA - Field editor
Office editor
NA - Line number of husband
0
Husband not in household
NA - Cluster altitude in meters
NA - Household selected for hemoglobin
0
Not selected
1
Selected
NA - Selected for Domestic Violence module
0
Woman not selected
1
Woman selected and interviewed
2
Woman selected, but privacy not possible
3
Woman selected, but not interviewed
Case Identification
Case Identification
Region
1
Kigali
2
South
3
West
4
North
5
East
Type of place of residence
1
Urban
2
Rural
NA - Childhood place of residence
0
Capital, large city
1
City
2
Town
3
Countryside
4
Abroad
NA - Years lived in place of residence
95
Always
96
Visitor
97
Inconsistent
98
Don't know
NA - Type of place of previous residence
0
Capital, large city
1
City
2
Town
3
Countryside
4
Abroad
Highest educational level
0
No education
1
Primary
2
Secondary
3
Higher
Highest year of education
0
No years completed at level V106
Source of drinking water
10
PIPED WATER
11
Piped into dwelling
12
Piped to yard/plot
13
Public tap/standpipe
20
TUBE WELL WATER
21
Tube well or borehole
30
DUG WELL (OPEN/PROTECTED)
31
Protected well
32
Unprotected well
40
SURFACE WATER
41
Protected spring
42
Unprotected spring
43
River/dam/lake/ponds/stream/canal/irrigation channel
51
Rainwater
61
Tanker truck
62
Cart with small tank
71
Bottled water
96
Other
97
Not a dejure resident
Time to get to water source
996
On premises
997
Not a dejure resident
998
Don't know
Type of toilet facility
10
FLUSH TOILET
11
Flush to piped sewer system
12
Flush to septic tank
13
Flush to pit latrine
14
Flush to somewhere else
15
Flush, don't know where
20
PIT TOILET LATRINE
21
Ventilated Improved Pit latrine (VIP)
22
Pit latrine with slab
23
Pit latrine without slab/open pit
30
NO FACILITY
31
No facility/bush/field
41
Composting toilet
42
Bucket toilet
43
Hanging toilet/latrine
96
Other
97
Not a dejure resident
Household has: electricity
0
No
1
Yes
7
Not a dejure resident
Household has: radio
0
No
1
Yes
7
Not a dejure resident
Household has: television
0
No
1
Yes
7
Not a dejure resident
Household has: refrigerator
0
No
1
Yes
7
Not a dejure resident
Household has: bicycle
0
No
1
Yes
7
Not a dejure resident
Household has: motorcycle/scooter
0
No
1
Yes
7
Not a dejure resident
Household has: car/truck
0
No
1
Yes
7
Not a dejure resident
Main floor material
10
NATURAL
11
Earth, sand
12
Dung
20
RUDIMENTARY
21
Wood planks
22
Palm, bamboo
30
FINISHED
31
Parquet, polished wood
32
Vinyl, asphalt strips
33
Ceramic tiles
34
Cement
35
Carpet
96
Other
97
Not a dejure resident
Main wall material
10
NATURAL
11
No walls
12
Cane / palm / trunks
13
Dirt
20
RUDIMENTARY
21
Bamboo with mud
22
Stone with mud
23
Uncovered adobe
24
Plywood
25
Cardboard
26
Reused wood
30
FINISHED
31
Cement
32
Stone with lime / cement
33
Bricks
34
Cement blocks
35
Covered adobe
36
Wood planks / shingles
96
Other
97
Not a dejure resident
Main roof material
10
NATURAL
11
No roof
12
Thatch / palm leaf
13
Sod
20
RUDIMENTARY
21
Rustic mat
22
Palm / bamboo
23
Wood planks
24
Cardboard
30
FINISHED
31
Metal
32
Wood
33
Calamine / cement fiber
34
Ceramic tiles
35
Cement
36
Roofing shingles
96
Other
97
Not a dejure resident
Religion
1
Catholic
2
Protestant
3
Adventist
4
Muslim
5
Traditional
7
No religion
96
Other
NA - Ethnicity
Education in single years
97
Inconsistent
NA - De facto place of residence
0
Capital, large city
1
Small city
2
Town
3
Countryside
Usual resident or visitor
1
Usual resident
2
Visitor
Number of household members (listed)
Number of children 5 and under in household (de jure)
Number of eligible women in household (de facto)
De jure region of residence
1
Kigali
2
South
3
West
4
North
5
East
97
Not a dejure resident
De jure type of place of residence
0
Abroad
1
Urban
2
Rural
7
Not a dejure resident
NA - De jure place of residence
0
Capital, large city
1
City
2
Town
3
Countryside
4
Abroad
7
Not a dejure resident
Educational attainment
0
No education
1
Incomplete primary
2
Complete primary
3
Incomplete secondary
4
Complete secondary
5
Higher
Relationship to household head
1
Head
2
Wife
3
Daughter
4
Daughter-in-law
5
Granddaughter
6
Mother
7
Mother-in-law
8
Sister
9
Co-spouse
10
Other relative
11
Adopted/foster child
12
Not related
13
Niece by blood
14
Niece by marriage
98
Don't know
Sex of household head
1
Male
2
Female
Age of household head
97
97+
98
Don't know
Household has: telephone (land-line)
0
No
1
Yes
7
Not a dejure resident
All woman factor - total
All woman factor - urban/rural
All woman factor - regional
All woman factor - educational
All woman factor - wealth index
Literacy
0
Cannot read at all
1
Able to read only parts of sentence
2
Able to read whole sentence
3
No card with required language
4
Blind/visually impaired
NA - Ever participated in a literacy program outside of primary
0
No
1
Yes
NA - Frequency of reading newspaper or magazine
0
Not at all
1
Less than once a week
2
At least once a week
3
Almost every day
NA - Frequency of listening to radio
0
Not at all
1
Less than once a week
2
At least once a week
3
Almost every day
NA - Frequency of watching television
0
Not at all
1
Less than once a week
2
At least once a week
3
Almost every day
Toilet facilities shared with other households
0
No
1
Yes
7
Not a dejure resident
Type of cooking fuel
1
Electricity
2
LPG
3
Natural gas
4
Biogas
5
Kerosene
6
Coal, lignite
7
Charcoal
8
Wood
9
Straw/shrubs/grass
10
Agricultural crop
11
Animal dung
95
No food cooked in house
96
Other
97
Not a dejure resident
NA - Result of salt test for iodine
0
0 ppm (no iodine)
7
7 ppm
15
15 ppm
30
30 ppm
994
Salt not tested
995
No salt
997
Not a dejure resident
NA - Number of trips in last 12 months
0
None
90
90+
NA - Away for more than one month in last 12 months
0
No
1
Yes
NA - Wealth index
1
Poorest
2
Poorer
3
Middle
4
Richer
5
Richest
NA - Wealth index factor score (5 decimals)
Type of mosquito bed net(s) slept under last night
0
No net
1
Only treated nets
2
Both treated and untreated nets
3
Only untreated nets
Case Identification
Case Identification
Birth column number
Birth order number
Child is twin
0
Single birth
1
1st of multiple
2
2nd of multiple
3
3rd of multiple
4
4th of multiple
5
5th of multiple
Month of birth
Year of birth
Date of birth (CMC)
Sex of child
1
Male
2
Female
Child is alive
0
No
1
Yes
NA - Age at death
100
Died on day of birth
101
Days: 1
199
Days: number missing
201
Months: 1
299
Months: number missing
301
Years: 1
399
Years: number missing
997
Inconsistent
998
Don't know
NA - Age at death (months, imputed)
Current age of child
Child lives with whom
0
Respondent
1
Father
2
Other relative
3
Someone else
4
Lives elsewhere
Completeness of information
1
Month and year - information complete
2
Month and age - year imputed
3
Year and age - month imputed
4
Year and age - year ignored
5
Year - age/month imputed
6
Age - year/month imputed
7
Month - age/year imputed
8
None - all imputed
Preceding birth interval (months)
Succeeding birth interval (months)
NA - Flag for age at death
0
No flag
1
> interview
2
< breastfeeding
3
< age supplemented
4
< first breastfed
5
< last vaccination
6
Outside range
7
Imputed, units given
8
Imputed, no units
Live birth between births
0
No
1
Yes
Child's line number in household
0
Not listed in household
Case Identification
Case Identification
Total children ever born
Sons at home
Daughters at home
Sons elsewhere
Daughters elsewhere
Sons who have died
Daughters who have died
Births in last five years
0
No births
Births in past year
0
No births
Births in month of interview
Currently pregnant
0
No or unsure
1
Yes
Duration of current pregnancy
Number of living children
Living children + current pregnancy
Living children + current pregnancy (grouped)
6
6+
NA - Marriage to first birth interval (months)
996
Negative interval
NA - Last birth to interview (months)
Completeness of current pregnancy information
7
Month - exact date
8
None - date placed
Entries in birth history
NA - Index last child prior to maternity-health (calendar)
0
No prior child
Birth between last and interview
0
No
1
Yes
Births in last three years
Case Identification
Case Identification
Index to Birth History
Prenatal: doctor
0
No
1
Yes
Prenatal: nurse/medical assistant
0
No
1
Yes
Prenatal: midwife
0
No
1
Yes
NA - Prenatal: CS health professional
0
No
1
Yes
NA - Prenatal: CS health professional
0
No
1
Yes
NA - Prenatal: CS health professional
0
No
1
Yes
Prenatal: traditional birth attendant
0
No
1
Yes
Prenatal: community health worker
0
No
1
Yes
Prenatal: community health mother and child
0
No
1
Yes
NA - Prenatal: CS other person
0
No
1
Yes
Prenatal: other
0
No
1
Yes
NA - Prenatal: CS other
0
No
1
Yes
NA - Prenatal: CS other
0
No
1
Yes
Prenatal: no one
0
No: some care
1
Yes: no care
Case Identification
Case Identification
Entries in maternity table
Entries in health table
Have mosquito bed net for sleeping (from household questionnaire)
0
No
1
Yes
Children under 5 slept under mosquito bed net last night (household questionnair
0
No
1
All children
2
Some children
3
No net in household
Respondent slept under mosquito bed net
0
No
1
Yes
Case Identification
Case Identification
Index to birth history
Had fever in last two weeks
0
No
1
Yes
8
Don't know
Fever/cough: referral hospital
0
No
1
Yes
Fever/cough: district hospital
0
No
1
Yes
Fever/cough: health center
0
No
1
Yes
Fever/cough: health post
0
No
1
Yes
Fever/cough: outreach
0
No
1
Yes
Fever/cough: community health worker
0
No
1
Yes
Fever/cough: Other public facility
0
No
1
Yes
NA - Fever/cough: CS public sector
0
No
1
Yes
NA - Fever/cough: CS public sector
0
No
1
Yes
NA - Fever/cough: private hospital/ clinic
0
No
1
Yes
Fever/cough: private pharmacy
0
No
1
Yes
NA - Fever/cough: private doctor
0
No
1
Yes
Fever/cough: polyclinic
0
No
1
Yes
Fever/cough: clinic
0
No
1
Yes
Fever/cough: dispensary
0
No
1
Yes
Fever/cough: other private medical
0
No
1
Yes
NA - Fever/cough: CS private medical
0
No
1
Yes
NA - Fever/cough: CS private medical
0
No
1
Yes
Fever/cough: Kiosk
0
No
1
Yes
Fever/cough: traditional practitioner
0
No
1
Yes
Fever/cough: CS other sector
0
No
1
Yes
Fever/cough: Friend / relative
0
No
1
Yes
NA - Fever/cough: CS other sector
0
No
1
Yes
Fever/cough: other
0
No
1
Yes
Fever/cough: no treatment
0
No: received treatment
1
Yes: no treatment
Fever/cough: medical treatment
0
No
1
Yes
NA - SP/Fansidar taken for fever/cough
0
No
1
Yes
NA - Chloroquine taken for fever/cough
0
No
1
Yes
NA - Amodiaquine taken for fever/cough
0
No
1
Yes
NA - Quinine taken for fever/cough
0
No
1
Yes
NA - Combination with artemisinin taken for fever/cough
0
No
1
Yes
NA - CS antimalarial taken for fever/cough
0
No
1
Yes
NA - CS antimalarial taken for fever/cough
0
No
1
Yes
NA - Other antimalarial taken for fever/cough
0
No
1
Yes
NA - Antibiotic pill/syrup taken for fever/cough
0
No
1
Yes
NA - Antibiotic injection taken for fever/cough
0
No
1
Yes
NA - Aspirin taken for fever/cough
0
No
1
Yes
NA - Acetaminophen/paracetamol/panadol taken for fever/cough
0
No
1
Yes
NA - Ibuprofen taken for fever/cough
0
No
1
Yes
NA - CS other taken for fever/cough
0
No
1
Yes
NA - CS other for fever/cough
0
No
1
Yes
NA - CS other for fever/cough
0
No
1
Yes
NA - Other taken for fever/cough
0
No
1
Yes
NA - Nothing taken for fever/cough
0
No
1
Yes, nothing taken
NA - Don't know if or what was taken for fever/cough
0
No
1
Yes, don't know
Place first sought treatment for fever
10
PUBLIC SECTOR
11
Referral hospital
12
District hospital
13
Health center
14
Health post
15
Outreach
16
Community Health Worker
17
Other public facility
20
PRIVATE SECTOR
21
Clinic
22
Pharmacy
23
Private doctor
24
Polyclinic
25
Dispensary
26
Other private medical facility
30
OTHER
31
Kiosk
32
Traditional practitioner
33
Church
34
Friend/relative
96
Other
NA - Days after fever sought advice or treatment
0
Same day
98
Don't know
Blood taken from child's finger/heel for testing
0
No
1
Yes
8
Don't know
Case Identification
Case Identification
Time interview started (hhmm - 24 hour clock)
Time interview ended (hhmm - 24 hour clock)
Length of interview in minutes
95
95+
96
2+ visits
97
Inconsistent
Number of visits
Interviewer identification
Keyer identification
NA - Presence of children < 10 for 'Wife beating justified' questions
0
No
1
Yes - listening
2
Yes - not listening
NA - Presence of husband for 'Wife beating justified' questions
0
No
1
Yes - listening
2
Yes - not listening
NA - Presence of other males for 'Wife beating justified' questions
0
No
1
Yes - listening
2
Yes - not listening
NA - Presence of other females for 'Wife beating justified' questions
0
No
1
Yes - listening
2
Yes - not listening
NA - Presence of children < 10 during sexual activity section
0
No
1
Yes
NA - Presence of male adults during sexual activity section
0
No
1
Yes
NA - Presence of female adults during sexual activity section
0
No
1
Yes
Case Identification
Case Identification
Ever attended school
0
No
1
Yes
Highest level of school attended
0
Pre-school
1
Primary
2
Post-primary/ vocational
3
Secondary
4
Higher
5
Pre-primary
Highest grade completed at level
Heard of malaria
0
No
1
Yes
fever: Knows malaria sign/symptom
0
No
1
Yes
feeling cold: knows malaria sign/symptom
0
No
1
Yes
Headache: knows malaria sign/symptom
0
No
1
Yes
Nausea and vomiting: knows malaria sign/symptom
0
No
1
Yes
Diarrhea: knows malaria sign/symptom
0
No
1
Yes
Dizziness: knows malaria sign/symptom
0
No
1
Yes
Loss of appetite: knows malaria sign/symptom
0
No
1
Yes
Body ache or joint pain: knows malaria sign/symptom
0
No
1
Yes
Pale eyes: knows malaria sign/symptom
0
No
1
Yes
Salty tasting palms: knows malaria sign/symptom
0
No
1
Yes
Body weakness: knows malaria sign/symptom
0
No
1
Yes
Refusing to eat or drink: knows malaria sign/symptom
0
No
1
Yes
Sign for severe malaria: knows malaria sign/symptom
0
No
1
Yes
Other: knows malaria sign/symptom
0
No
1
Yes
Mosquito bites: knows cause of malaria
0
No
1
Yes
Eating immature sugarcane: knows cause of malaria
0
No
1
Yes
Eating dirty food: knows cause of malaria
0
No
1
Yes
Drinking dirty water: knows cause of malaria
0
No
1
Yes
Getting soaked with rain: knows cause of malaria
0
No
1
Yes
Cold or changing weather: knows cause of malaria
0
No
1
Yes
Witchcraft: knows cause of malaria
0
No
1
Yes
Other: knows cause of malaria
0
No
1
Yes
Don't know: knows cause of malaria
0
No
1
Yes
Protect against malaria by: sleep under a mosquito net
0
No
1
Yes
Protect against malaria by: sleep under an insecticide treated mosquito net
0
No
1
Yes
Protect against malaria by: use mosquito repellant
0
No
1
Yes
Protect against malaria by: avoid msoquito bites
0
No
1
Yes
Protect against malaria by: take preventive medication
0
No
1
Yes
Protect against malaria by: spray house with insecticide
0
No
1
Yes
Protect against malaria by: use mosquito coils
0
No
1
Yes
Protect against malaria by: cut the grass around the house
0
No
1
Yes
Protect against malaria by: fill in puddles
0
No
1
Yes
Protect against malaria by: keep house surroundings clean
0
No
1
Yes
Protect against malaria by: burn leaves
0
No
1
Yes
Protect against malaria by: do not drink dirty water
0
No
1
Yes
Protect against malaria by: do not eat bad food
0
No
1
Yes
Protect against malaria by: put mosquito screens on the windows
0
No
1
Yes
Protect against malaria by: do not get soaked with rain
0
No
1
Yes
Protect against malaria by: other
0
No
1
Yes
Protect against malaria by: Don't know
0
No
1
Yes
Knows location can receive treatment for malaria: referral hospital
0
No
1
Yes
Knows location can receive treatment for malaria: district hospital
0
No
1
Yes
Knows location can receive treatment for malaria: health center
0
No
1
Yes
Knows location can receive treatment for malaria: health post
0
No
1
Yes
Knows location can receive treatment for malaria: outreach
0
No
1
Yes
Knows location can receive treatment for malaria: community health worker
0
No
1
Yes
Knows location can receive treatment for malaria: other public facility
0
No
1
Yes
Knows location can receive treatment for malaria: polyclinic
0
No
1
Yes
Knows location can receive treatment for malaria: clinic
0
No
1
Yes
Knows location can receive treatment for malaria: dispensary
0
No
1
Yes
Knows location can receive treatment for malaria: pharmacy
0
No
1
Yes
Knows location can receive treatment for malaria: other private medical facility
0
No
1
Yes
Knows location can receive treatment for malaria: kiosk
0
No
1
Yes
Knows location can receive treatment for malaria: traditional practitioner
0
No
1
Yes
Knows location can receive treatment for malaria: church
0
No
1
Yes
Knows location can receive treatment for malaria: friend/relative
0
No
1
Yes
Knows location can receive treatment for malaria: other
0
No
1
Yes
Knows location can receive treatment for malaria: don't know
0
No
1
Yes
Seen or heard messages about malaria in the last six months
0
No
1
Yes
Where heard or seen malaria messages: radio
0
No
1
Yes
Where heard or seen malaria messages: television
0
No
1
Yes
Where heard or seen malarial messages: poster or billboard
0
No
1
Yes
Where heard or seen malarial messages: community health worker
0
No
1
Yes
Where heard or seen malarial messages: at community event
0
No
1
Yes
Where heard or seen malarial messages: other
0
No
1
Yes
Number of births in last 6 years
0
None
Case Identification
Case Identification
Index to Birth History
Type of mosquito bed net(s) child slept under last night
0
No net
1
Only treated nets
2
Both treated and untreated nets
3
Only untreated nets
NA - Number of times took fansidar during pregnancy
98
Don't know
NA - Source of antimalarial during pregnancy
1
Antenatal visit
2
Another facility visit
6
Other source
NA - Child has fever/cough now
0
No
1
Yes, fever only
2
Yes, cough only
3
Both fever and cough
8
Don't know
NA - Child has had convulsions in last 2 weeks
0
No
1
Yes
8
Don't know
NA - Fansidar taken for fever/cough
0
No
1
Yes
NA - Chloroquine taken for fever/cough
0
No
1
Yes
NA - Amodiaquine taken for fever/cough
0
No
1
Yes
Quinine taken for fever/cough
0
No
1
Yes
Combination with artemisinin taken for fever/cough
0
No
1
Yes
Primo antimalarial taken for fever/cough
0
No
1
Yes
Arthemether taken for feverr/cough
0
No
1
Yes
Other antimalarial taken for fever/cough
0
No
1
Yes
Antibiotic pill/syrup taken for fever/cough
0
No
1
Yes
Antibiotic injection taken for fever/cough
0
No
1
Yes
Aspirin taken for fever/cough
0
No
1
Yes
Acetaminophen/paracetamol/panadol taken for fever/cough
0
No
1
Yes
Ibuprofen taken for fever/cough
0
No
1
Yes
NA - CS other taken for fever/cough
0
No
1
Yes
NA - CS other taken for fever/cough
0
No
1
Yes
NA - CS other taken for fever/cough
0
No
1
Yes
Other taken for fever/cough
0
No
1
Yes
Nothing taken for fever/cough
0
No
1
Yes, nothing taken
Don't know if or what was taken for fever/cough
0
No
1
Yes, don't know
NA - Injection given for fever/convulsion***
0
No
1
Yes
NA - Suppository given for fever/convulsion***
0
No
1
Yes
NA - No suppository or injection given for fever/convulsion***
0
No
1
Yes
NA - Don't know if suppository or injection given for fever/convulsion***
0
No
1
Yes
NA - Timing of start of fansidar
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took fansidar
7
7+ days
8
Don't know
NA - First source for fansidar
0
Other source
1
At home
8
Don't know
NA - Timing of start of chloroquine
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took chloroquine
7
7+ days
8
Don't know
NA - First source for chloroquine
0
Other source
1
At home
8
Don't know
NA - Timing of start of amodiaquine
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took amodiaquine
7
7+ days
8
Don't know
NA - First source for amodiaquine
0
Other source
1
At home
8
Don't know
Timing of start of quinine
0
Same day as fever
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took quinine
7
7+ days
8
Don't know
NA - First source for quinine
0
Other source
1
At home
8
Don't know
NA - For fever/convulsion: consulted traditional healer***
0
No
1
Yes
NA - For fever/convulsion: gave tepid sponging***
0
No
1
Yes
NA - For fever/convulsion: gave herbs***
0
No
1
Yes
NA - For fever/convulsion: CS***
0
No
1
Yes
NA - For fever/convulsion: CS***
0
No
1
Yes
NA - For fever/convulsion: CS***
0
No
1
Yes
NA - For fever/convulsion: other***
0
No
1
Yes
NA - For fever/convulsion: gave/did nothing***
0
No
1
Yes
NA - For fever/convulsion: don't know if something else was done***
0
No
1
Yes
Timing of start of combination with artemisinin
0
Same day as fever
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took combination with artemisinin
7
7+ days
8
Don't know
NA - First source for combination with artemisinin
0
Other source
1
At home
8
Don't know
Timing of start of primo
0
Same day as fever
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took CS antimalarial
7
7+ days
8
Don't know
NA - First source for CS antimalarial
0
Other source
1
At home
8
Don't know
NA - Timing of start of CS antimalarial use
0
Same day as fever/cough
1
Next day
2
2 days after
3
3 days after
4
4+ days after
8
Don't know
NA - Number of days child took CS antimalarial
7
7+ days
8
Don't know
NA - First source for CS antimalarial
0
Other source
1
At home
8
Don't know
Timing of start of other anti-malarial use
0
Same day as fever
1
Next day
2
2 days after
3
3+ days after
8
Don't know
NA - Number of days child took other anti-malarial
7
7+ days
8
Don't know
NA - First source for other anti-malarial
0
Other source
1
At home
8
Don't know
NA - First source for antibiotic pill/syrup
0
Other source
1
At home
8
Don't know