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2016 Uganda Demographic
and Health Survey (UDHS)
Key Indicators Report
2
2011 UDHS
2016 UDHS
The 2016 UDHS was implemented by the Uganda Bureau of
Statistics (UBOS).
ICF International provided technical assistance through the
USAID-funded MEASURE DHS project.
Objective
• The main objective of the 2016 UDHS is to provide up-to-
date estimates of basic demographic and health
indicators on fertility levels, marriage, sexual activity,
fertility preferences, awareness and use of family
planning methods, breastfeeding practices, nutrition,
childhood and maternal mortality, maternal and child
health, awareness and behaviour of HIV/AIDS and other
STIs, and other health issues such as vitamin A deficiency
and disability.
• This information is intended to assist policy-makers and
programme managers in evaluating and designing
programmes and strategies for improving the health of
Ugandans.
The Survey
•The 2016 UDHS is the 6th Demographic and
Health Survey conducted in Uganda as part
of The DHS Program.
•It is designed to provide estimates of key
indicators for:
• the country as a whole,
• the urban and rural areas,
• each of the 15 sub regions.
• Indicators will also be shown for 3 special
areas: the Lake Victoria island districts, the
mountain districts, and greater Kampala.
The 2016 UDHS Subregions
• South Central: Butambala, Gomba, Mpigi, Bukomansimbi, Kalangala, Kalungu, Lwengo, Lyantonde,
Masaka, Rakai, Sembabule, Wakiso
• North Central: Buikwe, Buvuma, Kayunga, Kiboga, Kyankwanzi, Luwero, Mityana, Mubende, Mukono,
Nakaseke, Nakasongola
• Kampala: Kampala
• Busoga: Bugiri, Namutumba, Buyende, Iganga, Jinja, Kaliro, Kamuli, Luuka, Mayuge, Namayingo
• Bukedi: Budaka, Butaleja, Kibuku, Pallisa, Tororo, Busia
• Bugisu: Bulambuli, Kapchorwa, Kween, Bududa, Manafwa, Mbale, Sironko, Bukwo
• Teso: Amuria, Bukedea, Katakwi, Kumi, Ngora, Soroti, Kaberamaido, Serere
• Karamoja: Abim, Amudat, Kaabong, Kotido, Moroto, Nakapiripirit, Napak
• Lango: Alebtong, Amolatar, Dokolo, Lira, Otuke, Apac, Kole, Oyam
• Acholi: Agago, Amuru, Gulu, Lamwo, Pader, Kitgum, Nwoya
• West Nile: Adjumani, Arua, Koboko, Maracha, Moyo, Nebbi, Yumbe, Zombo
• Bunyoro: Buliisa, Hoima, Kibaale, Kiryandongo, Masindi
• Tooro: Bundibugyo, Kabarole, Kasese, Ntoroko, Kyenjojo, Kamwenge, Kyegegwa
• Kigezi: Kabale, Kisoro, Kanungu, Rukungiri
• Ankole: Buhweju, Bushenyi, Ibanda, Isingiro, Kiruhura, Mbarara, Mitooma, Ntungamo, Rubirizi, Sheema
6
2016 UDHS -15 Sub-regions
The 2016 UDHS Special Areas
• Islands: Islands and shoreline areas in Kalangala,
Mayuge, Buvuma, Namayingo, Rakai, Mukono and
Wakiso districts
• Mountains: Bundibugyo, Kasese, Ntoroko,
Bukwo, Bulambuli, Kapchorwa, Kween, Kisoro,
Sronko, Mbale, and Kaabong districts
• Greater Kampala: Kampala district and urban
areas in Mukono and Wakiso districts
Sample Design
Sampling Frame: 2014 Uganda National Population and
Housing Census
First Stage: 162 urban and 535 rural enumeration areas
(EAs) selected
Second Stage: 30 households were selected per EA or EA
segment, for a total sample size of 20,880 households
Selected households were visited and interviewed; women
age 15-49 in all selected households and
men age 15-54 in one third of the selected households
were interviewed.
Questionnaires
•Household Questionnaire
•Woman’s Questionnaire
•Man’s Questionnaire
•Biomarker Questionnaire
Questionnaires were translated into Ateso,
Ngakarimojong, Luganda, Lugbara, Luo,
Runyankole-Rukiga, Runyoro-Rutoro, and
Lusoga
Questionnaires:
Household Questionnaire
• Lists members and visitors to identify eligible individuals
• Basic characteristics of each person in the household
collected (age, sex, education, etc.)
• Housing characteristics (access to drinking water, sanitation
facilities, etc.)
• Disabilities among persons age 5+
• Identify women age 15-49 and men age 15-54 eligible for
individual interview
• Identify children under 5, women age 15-49, and men age
15-54 eligible for biomarker collection
Questionnaires:
Woman’s Questionnaire
• Background characteristics (age, religion, education, literacy, etc.)
• Birth history and child mortality
• Knowledge and use of family planning methods
• Fertility preferences
• Maternal health (antenatal, delivery, and postnatal care)
• Breastfeeding and infant feeding practices
• Vaccinations and childhood illnesses
• Marriage and sexual activity
• Women’s work and husband’s background characteristics
• Knowledge, awareness, and behaviour regarding HIV/AIDS and other STIs
• Adult mortality, including maternal mortality
• Domestic violence (1 woman per household)
• Early Child Development
Questionnaires:
Man’s Questionnaire
• Background characteristics
• Knowledge of family planning methods
• Fertility preferences
• Marriage and sexual activity
• Employment and gender roles
• Knowledge, awareness, and behaviour regarding HIV/AIDS
and other STIs
Biomarkers
Anthropometry:
• Children 0-59 months
• Women age 15-49
• Men age 15-54
Anaemia:
• Children 6-59 months
• Women age 15-49
• Men age 15-54
Vitamin A deficiency:
• Children 6-59 months
Malaria Rapid Diagnostic
Testing:
• Children 6-59 months
Conducted in the same sub-sample of households
selected for the men’s survey
Biomarkers – Malaria Testing
• Children age 6-59 months were eligible. Consent was
obtained from a parent or the adult responsible for the
child.
• Results of the Rapid Diagnostic Test were provided to the
child’s parent or guardian in oral and written form.
• Children who tested positive for malaria were offered a full
course of treatment according to standard procedures for
treating malaria in Uganda, provided they did not have a
severe case of malaria (diagnosed by symptoms or the
presence of severe anaemia), were not currently on
treatment, and had not completed a full course of ACT
during the preceding two weeks.
Biomarkers – Vitamin A Deficiency
Testing
• Children age 6-59 months were eligible. Consent was
obtained from a parent or the adult responsible for
the child.
• Vitamin A deficiency testing in the UDHS is
anonymous. Test results will be linked with the socio-
demographic data collected in the individual
questionnaires after removal of all information that
could potentially identify an individual.
• Vitamin A deficiency testing is taking place at at the
Department of Biochemistry at Makerere University
in Kampala.
Pretest and Main Survey
Training
•Pretest: 45 participants were trained for 3
weeks and deployed in 8 districts March/April
2016.
•Main Survey Training: 173 participants
trained for 4 weeks in May/June 2016.
Fieldwork and Data Processing
• 21 teams (consisting of a team leader, a data field
manager, 3 female interviewers, 1 male interviewer, 1
health technician and a driver).
• Fieldwork conducted from 20 June 2016 through 16
December 2016.
• Interviews were conducted using tablet computers.
• Questionnaires transmitted electronically to UBOS.
• Data processing, which included secondary editing,
resolution of computer-identified errors and coding of
open-ended questions, took place from August 2016 to
January 2017.
Results of the Household and
Individual Interviews
Household Interviews
Households selected 20,791
Households occupied 19,938
Households interviewed 19,588
Interviews with Women age 15-49
Eligible women 19,088
Women interviewed 18,506
Response rate 97%
Interviews with Men age 15-54
Eligible men 5,676
Men interviewed 5,336
Response rate 94%
2016 Uganda Demographic
and Health Survey (UDHS)
Key Indicators
Educational Attainment of
Respondents
10
4
57
55
25
29
8 12
Women Men
More than
secondary
Secondary
Primary
No education
Percent of women and men age 15-49
Fertility Trends
7.4
6.9 6.9
6.7
6.2
5.4
1988-89 1995 2000-01 2006 2011 2016
UDHS
Births per woman for the three-year period before the survey
Teenage Childbearing
by Residence
20
26 25
21 24 24
19
27 25
Urban Rural Total
2006
2011
2016
Percent of women age 15-19 who are mothers or pregnant with their first child
Fertility Preferences of Married Women
Have another
soon
15%
Have another
later
40%
Have another,
undecided when
2%
Undecided
3%
Want no more or
sterilised
38%
Declared infecund
2%
Percent
distribution of
currently
married
women age
15-49 by
desire for
children
Current Use of Contraception
39 35
19
3 6 2 2 4
51 47
21
1
6
14
4 4
Any method Any modern
method
Injectables Female
sterilization
Implants Male
condom
Pill Any
traditional
method
Currently married women
Sexually active, unmarried women
Percent of women age 15-49
Trends in Contraceptive use
8
18 18
26
35
15 19
24
30
39
1995 2000-01 2006 2011 2016
UDHS
Percent of currently married women age 15-49 who were using any method and
those using a modern method of family planning
Contraceptive use by currently married
women
Contraceptive Use, women
15-49 years
Demand for Family Planning
67
39
28
58
52
Total
demand
Met
demand
Unmet need Percent of
demand
satisfied
Percent of
demand
satisfied by
modern
methods
Percent of currently married women age 15-49
Trends of Unmet need for FP
64
24
38 37
64
30 34
47
67
39
28
58
Total demand Met demand Unmet need Percent of
demand satisfied
2006 2011 2016
Percent of currently married women age 15-49
Percent Women 15-49 with an Unmet Need
for Family Planning
Trends in Childhood Mortality
98
81 88
71
54
43
177
147 151
128
90
64
1988-89 1995 2000-01 2006 2011 2016
UDHS
Infant mortality
Under-5 mortality
Deaths per 1,000 live births for the five-year period before the survey
Trends in Maternal Health
42
47 48
60
37
42
57
73
2000-01 DHS 2006 DHS 2011 DHS 2016 DHS
4+ ANC visits
Delivered in health care facility
Percent of live births in the five-year period before the survey
Percent of women 15-49 who have made 4
or more ANC visits to a health facility
Post Natal Check-up within first 2 days
Childhood Vaccinations
96 95
90
79
95
86
66
87
79
64
80
55
1
BCG 1 2 3 1 2 3 1 2 3 Measles All basic None
Percent of children 12-23
months vaccinated
DPT HebB-Hib Polio Pneumococcal
Childhood Vaccinations
1
37
64
80
55
80
66
79
96
No vaccinations
All age-appropriate vaccinations
3 doses pneumococcal
Polio at birth
All basic vaccinations
Measles
3 doses polio
3 doses DPT-HebB-Hib
BCG
Percent of children age 12-23 months vaccinated
Trends in Basic Vaccination Coverage
Percent of children age 12-23 months with all basic vaccinations
24
47
37
46
52
55
38
61
42
59
68
79
1988-89 DHS 1995 DHS 2000-01 DHS 2006 DHS 2011 DHS 2016 DHS
All basic vaccines
DPT3
Children 12-23 months who
received ALL basic vaccinations
Childhood Illnesses
80 81
69
ARI Fever Diarrhoea
Among children under 5 with symptoms of acute respiratory infection (ARI), fever, or
diarrhoea, percent for whom advice or treatment was sought from a health facility or provider
Nutritional Status of Children
Percent of children under 5
*Based on the 2006 WHO Child Growth Standards
29
4 4
11
Stunted
(too short for age)
Wasted
(too thin for height)
Overweight
(too heavy for height)
Underweight
(too thin for age)
Trends in Nutritional Status of Children
Percent of children under 5
45
38
33
29
5 6 5 4
5
5 3
4
18 16 14
11
2000-01 DHS 2006 DHS 2011 DHS 2016 DHS
Stunted
Underweight
Wasted
Overweight
Percent of Children under 5 who are
too short for age (stunted)
Breastfeeding Status Under 6 Months
Not breastfed
2%
Exclusively
breastfed
66%
Breast milk
plus other
liquids or
foods
32%
Percent distribution of
youngest children
under 6 months who
are living with their
mother by
breastfeeding status
Anaemia Prevalence
Percent of children age 6-59 months, and women age 15-49,
classified as having anaemia
24 25
27
6
2
1
Children Women
Severe
Moderate
Mild
53
32
Trends in Ownership of ITNs
16
47
60
90
78
2006 DHS 2009 MIS 2011 DHS 2014-15 MIS 2016 DHS
Percentage of
households with at
least one insecticide-
treated net
Use of ITNs
62
67
64
70
Slept under ITN Slept under ITN or in a house
sprayed with IRS in past 12 months
Children Pregnant women
Percent of children and pregnant women age 15-49 in all households who slept
under an ITN the night before the survey
Use of IPTp
77
45
17
Received 1 or more doses
of SP/Fansidar
Received 2 or more doses
of SP/Fansidar
Received 3 or more doses
of SP/Fansidar
Percent of women age 15-49 with a live birth in the 2 years before the survey who
received respective doses of SP/Fansidar, at least one during an ANC visit
Increased from 25%
in 2011
Treatment of Children With Fever
81
49 88
Percentage for whom
advice or treatment
was sought
Percentage who had
blook taken from
finger or heel for
testing
Percentage who took
any ACT
Among children under age 5
with fever:
Among children
under age 5 with
fever who took any
antimalarial:
Low Haemoglobin and Malaria in
Children
6
30
With haemoglobin less than 8g/dL Who tested positive for malaria according to
the rapid diagnostic test
Percent of children age 6-59 months:
Knowledge of HIV Prevention Methods
85
93
84
87
94
83
Using condoms Limiting sex to one uninfected
partner
Using condoms AND limiting
sex to one uninfected partner
Women Men
Percent of women and men age 15-49 who know that HIV can be prevented by:
Comprehensive Knowledge of HIV
among Youth by Residence
46
55
42
45
56
42
Total Urban Rural
Women Men
Percent of women and men age 15-24 with comprehensive knowledge* of HIV
*Comprehensive knowledge means knowing that the risk of getting HIV can be reduced by using condoms and limiting sex to one
uninfected partner, knowing that a healthy looking person can have HIV, and rejecting the two most common local misconceptions
about HIV prevention and transmission: that HIV can be transmitted by mosquito bites or by sharing food with a person who has HIV.
Comprehensive Knowledge of HIV
among Youth, Trend
38
32
40 38
45 46
Male Female
2006 2011
Percent of women and men age 15-24 with comprehensive knowledge* of HIV
*Comprehensive knowledge means knowing that the risk of getting HIV can be reduced by using condoms and limiting sex to one
uninfected partner, knowing that a healthy looking person can have HIV, and rejecting the two most common local misconceptions
about HIV prevention and transmission: that HIV can be transmitted by mosquito bites or by sharing food with a person who has HIV.
Multiple Sexual Partners
2
21
2.3
21 22
6.3
2+ partners in
past 12 months
Reported using a
condom at last
sexual intercourse
Mean number of
lifetime sexual
partners
Women Men
Percent of women and
men age 15-49 who had:
Among women and men
age 15-49 who had 2+
sexual partners in past 12
months, percent who:
Among women and men
age 15-49 who have ever
had sexual intercourse:
HIV Testing
83
55
70
47
Ever tested and received results Tested in last 12 months and
received results
Women Men
Percent of women and men age 15-49
Women 15-49 who have ever tested for
HIV/AIDS in the last 12 months and received
their results
Trend of HIV Testing
10 12
30
42
47
55
Male Female
2006 2011 2016
Percent of women and men age 15-49 who tested in last 12 months
and received results
Sexual Violence
22
13
8
4
Ever experienced sexual violence Experienced sexual violence in the
last 12 months
Women
Men
Percent of women and men age 15-49
Ever experienced sexual violence –
females (15-49)
Ever experienced sexual violence –
Males (15-49)
Early Childhood Development Index
26
92
65
86
65
Literacy-numeracy Physical Social-emotional Learning Early childhood
development
index score*
Percentage of children age 36-59 months who are developmentally on track in literacy-
numeracy, physical, social-emotional, and learning domains, and the early child development
index score
*Percentage of children who are developmentally on track in at least three of these four domains.
Early childhood development index score
Percentage of
children age 36-
59 months who
are
developmentally
on track in
literacy-
numeracy,
physical, social-
emotional, and
learning domains
Maternal Mortality Ratio
The 2016 UDHS asked women about the
deaths of their sisters that occurred during
pregnancy, delivery, or 42 days after delivery.
The maternal mortality ratio excludes deaths
that were due to accident or violence.
The maternal mortality ratio for the seven-
year period before the survey is 336 deaths
per 100,000 live births (CI: 272 – 401).
Pregnancy-Related Mortality
Ratio
The pregnancy-related mortality ratio includes all
deaths in this period irrespective of the cause of
death.
The pregnancy-related mortality ratio for the 7-year
period before the survey is 368 deaths per 100,000
live births (CI: 301 – 434).
Trends in Pregnancy-Related
Mortality Ratio
636
521 507
434
412
314
368
301
524
418 438
368
0
100
200
300
400
500
600
700
2000-01 DHS 2006 DHS 2011 DHS 2016 DHS
Key Findings
• Women have an average of 5.4 children.
• The contraceptive prevalence rate among married women
is 39%.
• Infant mortality rate is 43 deaths per 1,000 live births and
under-5 mortality rate is 64 deaths per 1,000 live births.
• 73% of births were delivered in a health facility.
• 55% of children received all basic vaccinations.
• 29% of children under 5 are stunted.
• 53% of children and 32% of women are anaemic.
• 78% of households have at least one ITN.
• 55% of women and 47% of men were tested for HIV in the
past year and received the results of the test.
Thank You!!

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Uganda's 2016 Demographic and Health Survey Key Findings

  • 1. 2016 Uganda Demographic and Health Survey (UDHS) Key Indicators Report
  • 2. 2 2011 UDHS 2016 UDHS The 2016 UDHS was implemented by the Uganda Bureau of Statistics (UBOS). ICF International provided technical assistance through the USAID-funded MEASURE DHS project.
  • 3. Objective • The main objective of the 2016 UDHS is to provide up-to- date estimates of basic demographic and health indicators on fertility levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, breastfeeding practices, nutrition, childhood and maternal mortality, maternal and child health, awareness and behaviour of HIV/AIDS and other STIs, and other health issues such as vitamin A deficiency and disability. • This information is intended to assist policy-makers and programme managers in evaluating and designing programmes and strategies for improving the health of Ugandans.
  • 4. The Survey •The 2016 UDHS is the 6th Demographic and Health Survey conducted in Uganda as part of The DHS Program. •It is designed to provide estimates of key indicators for: • the country as a whole, • the urban and rural areas, • each of the 15 sub regions. • Indicators will also be shown for 3 special areas: the Lake Victoria island districts, the mountain districts, and greater Kampala.
  • 5. The 2016 UDHS Subregions • South Central: Butambala, Gomba, Mpigi, Bukomansimbi, Kalangala, Kalungu, Lwengo, Lyantonde, Masaka, Rakai, Sembabule, Wakiso • North Central: Buikwe, Buvuma, Kayunga, Kiboga, Kyankwanzi, Luwero, Mityana, Mubende, Mukono, Nakaseke, Nakasongola • Kampala: Kampala • Busoga: Bugiri, Namutumba, Buyende, Iganga, Jinja, Kaliro, Kamuli, Luuka, Mayuge, Namayingo • Bukedi: Budaka, Butaleja, Kibuku, Pallisa, Tororo, Busia • Bugisu: Bulambuli, Kapchorwa, Kween, Bududa, Manafwa, Mbale, Sironko, Bukwo • Teso: Amuria, Bukedea, Katakwi, Kumi, Ngora, Soroti, Kaberamaido, Serere • Karamoja: Abim, Amudat, Kaabong, Kotido, Moroto, Nakapiripirit, Napak • Lango: Alebtong, Amolatar, Dokolo, Lira, Otuke, Apac, Kole, Oyam • Acholi: Agago, Amuru, Gulu, Lamwo, Pader, Kitgum, Nwoya • West Nile: Adjumani, Arua, Koboko, Maracha, Moyo, Nebbi, Yumbe, Zombo • Bunyoro: Buliisa, Hoima, Kibaale, Kiryandongo, Masindi • Tooro: Bundibugyo, Kabarole, Kasese, Ntoroko, Kyenjojo, Kamwenge, Kyegegwa • Kigezi: Kabale, Kisoro, Kanungu, Rukungiri • Ankole: Buhweju, Bushenyi, Ibanda, Isingiro, Kiruhura, Mbarara, Mitooma, Ntungamo, Rubirizi, Sheema
  • 6. 6 2016 UDHS -15 Sub-regions
  • 7. The 2016 UDHS Special Areas • Islands: Islands and shoreline areas in Kalangala, Mayuge, Buvuma, Namayingo, Rakai, Mukono and Wakiso districts • Mountains: Bundibugyo, Kasese, Ntoroko, Bukwo, Bulambuli, Kapchorwa, Kween, Kisoro, Sronko, Mbale, and Kaabong districts • Greater Kampala: Kampala district and urban areas in Mukono and Wakiso districts
  • 8. Sample Design Sampling Frame: 2014 Uganda National Population and Housing Census First Stage: 162 urban and 535 rural enumeration areas (EAs) selected Second Stage: 30 households were selected per EA or EA segment, for a total sample size of 20,880 households Selected households were visited and interviewed; women age 15-49 in all selected households and men age 15-54 in one third of the selected households were interviewed.
  • 9. Questionnaires •Household Questionnaire •Woman’s Questionnaire •Man’s Questionnaire •Biomarker Questionnaire Questionnaires were translated into Ateso, Ngakarimojong, Luganda, Lugbara, Luo, Runyankole-Rukiga, Runyoro-Rutoro, and Lusoga
  • 10. Questionnaires: Household Questionnaire • Lists members and visitors to identify eligible individuals • Basic characteristics of each person in the household collected (age, sex, education, etc.) • Housing characteristics (access to drinking water, sanitation facilities, etc.) • Disabilities among persons age 5+ • Identify women age 15-49 and men age 15-54 eligible for individual interview • Identify children under 5, women age 15-49, and men age 15-54 eligible for biomarker collection
  • 11. Questionnaires: Woman’s Questionnaire • Background characteristics (age, religion, education, literacy, etc.) • Birth history and child mortality • Knowledge and use of family planning methods • Fertility preferences • Maternal health (antenatal, delivery, and postnatal care) • Breastfeeding and infant feeding practices • Vaccinations and childhood illnesses • Marriage and sexual activity • Women’s work and husband’s background characteristics • Knowledge, awareness, and behaviour regarding HIV/AIDS and other STIs • Adult mortality, including maternal mortality • Domestic violence (1 woman per household) • Early Child Development
  • 12. Questionnaires: Man’s Questionnaire • Background characteristics • Knowledge of family planning methods • Fertility preferences • Marriage and sexual activity • Employment and gender roles • Knowledge, awareness, and behaviour regarding HIV/AIDS and other STIs
  • 13. Biomarkers Anthropometry: • Children 0-59 months • Women age 15-49 • Men age 15-54 Anaemia: • Children 6-59 months • Women age 15-49 • Men age 15-54 Vitamin A deficiency: • Children 6-59 months Malaria Rapid Diagnostic Testing: • Children 6-59 months Conducted in the same sub-sample of households selected for the men’s survey
  • 14. Biomarkers – Malaria Testing • Children age 6-59 months were eligible. Consent was obtained from a parent or the adult responsible for the child. • Results of the Rapid Diagnostic Test were provided to the child’s parent or guardian in oral and written form. • Children who tested positive for malaria were offered a full course of treatment according to standard procedures for treating malaria in Uganda, provided they did not have a severe case of malaria (diagnosed by symptoms or the presence of severe anaemia), were not currently on treatment, and had not completed a full course of ACT during the preceding two weeks.
  • 15. Biomarkers – Vitamin A Deficiency Testing • Children age 6-59 months were eligible. Consent was obtained from a parent or the adult responsible for the child. • Vitamin A deficiency testing in the UDHS is anonymous. Test results will be linked with the socio- demographic data collected in the individual questionnaires after removal of all information that could potentially identify an individual. • Vitamin A deficiency testing is taking place at at the Department of Biochemistry at Makerere University in Kampala.
  • 16. Pretest and Main Survey Training •Pretest: 45 participants were trained for 3 weeks and deployed in 8 districts March/April 2016. •Main Survey Training: 173 participants trained for 4 weeks in May/June 2016.
  • 17. Fieldwork and Data Processing • 21 teams (consisting of a team leader, a data field manager, 3 female interviewers, 1 male interviewer, 1 health technician and a driver). • Fieldwork conducted from 20 June 2016 through 16 December 2016. • Interviews were conducted using tablet computers. • Questionnaires transmitted electronically to UBOS. • Data processing, which included secondary editing, resolution of computer-identified errors and coding of open-ended questions, took place from August 2016 to January 2017.
  • 18. Results of the Household and Individual Interviews Household Interviews Households selected 20,791 Households occupied 19,938 Households interviewed 19,588 Interviews with Women age 15-49 Eligible women 19,088 Women interviewed 18,506 Response rate 97% Interviews with Men age 15-54 Eligible men 5,676 Men interviewed 5,336 Response rate 94%
  • 19. 2016 Uganda Demographic and Health Survey (UDHS) Key Indicators
  • 20. Educational Attainment of Respondents 10 4 57 55 25 29 8 12 Women Men More than secondary Secondary Primary No education Percent of women and men age 15-49
  • 21. Fertility Trends 7.4 6.9 6.9 6.7 6.2 5.4 1988-89 1995 2000-01 2006 2011 2016 UDHS Births per woman for the three-year period before the survey
  • 22. Teenage Childbearing by Residence 20 26 25 21 24 24 19 27 25 Urban Rural Total 2006 2011 2016 Percent of women age 15-19 who are mothers or pregnant with their first child
  • 23. Fertility Preferences of Married Women Have another soon 15% Have another later 40% Have another, undecided when 2% Undecided 3% Want no more or sterilised 38% Declared infecund 2% Percent distribution of currently married women age 15-49 by desire for children
  • 24. Current Use of Contraception 39 35 19 3 6 2 2 4 51 47 21 1 6 14 4 4 Any method Any modern method Injectables Female sterilization Implants Male condom Pill Any traditional method Currently married women Sexually active, unmarried women Percent of women age 15-49
  • 25. Trends in Contraceptive use 8 18 18 26 35 15 19 24 30 39 1995 2000-01 2006 2011 2016 UDHS Percent of currently married women age 15-49 who were using any method and those using a modern method of family planning
  • 26. Contraceptive use by currently married women Contraceptive Use, women 15-49 years
  • 27. Demand for Family Planning 67 39 28 58 52 Total demand Met demand Unmet need Percent of demand satisfied Percent of demand satisfied by modern methods Percent of currently married women age 15-49
  • 28. Trends of Unmet need for FP 64 24 38 37 64 30 34 47 67 39 28 58 Total demand Met demand Unmet need Percent of demand satisfied 2006 2011 2016 Percent of currently married women age 15-49
  • 29. Percent Women 15-49 with an Unmet Need for Family Planning
  • 30. Trends in Childhood Mortality 98 81 88 71 54 43 177 147 151 128 90 64 1988-89 1995 2000-01 2006 2011 2016 UDHS Infant mortality Under-5 mortality Deaths per 1,000 live births for the five-year period before the survey
  • 31. Trends in Maternal Health 42 47 48 60 37 42 57 73 2000-01 DHS 2006 DHS 2011 DHS 2016 DHS 4+ ANC visits Delivered in health care facility Percent of live births in the five-year period before the survey
  • 32. Percent of women 15-49 who have made 4 or more ANC visits to a health facility
  • 33. Post Natal Check-up within first 2 days
  • 34. Childhood Vaccinations 96 95 90 79 95 86 66 87 79 64 80 55 1 BCG 1 2 3 1 2 3 1 2 3 Measles All basic None Percent of children 12-23 months vaccinated DPT HebB-Hib Polio Pneumococcal
  • 35. Childhood Vaccinations 1 37 64 80 55 80 66 79 96 No vaccinations All age-appropriate vaccinations 3 doses pneumococcal Polio at birth All basic vaccinations Measles 3 doses polio 3 doses DPT-HebB-Hib BCG Percent of children age 12-23 months vaccinated
  • 36. Trends in Basic Vaccination Coverage Percent of children age 12-23 months with all basic vaccinations 24 47 37 46 52 55 38 61 42 59 68 79 1988-89 DHS 1995 DHS 2000-01 DHS 2006 DHS 2011 DHS 2016 DHS All basic vaccines DPT3
  • 37. Children 12-23 months who received ALL basic vaccinations
  • 38. Childhood Illnesses 80 81 69 ARI Fever Diarrhoea Among children under 5 with symptoms of acute respiratory infection (ARI), fever, or diarrhoea, percent for whom advice or treatment was sought from a health facility or provider
  • 39. Nutritional Status of Children Percent of children under 5 *Based on the 2006 WHO Child Growth Standards 29 4 4 11 Stunted (too short for age) Wasted (too thin for height) Overweight (too heavy for height) Underweight (too thin for age)
  • 40. Trends in Nutritional Status of Children Percent of children under 5 45 38 33 29 5 6 5 4 5 5 3 4 18 16 14 11 2000-01 DHS 2006 DHS 2011 DHS 2016 DHS Stunted Underweight Wasted Overweight
  • 41. Percent of Children under 5 who are too short for age (stunted)
  • 42. Breastfeeding Status Under 6 Months Not breastfed 2% Exclusively breastfed 66% Breast milk plus other liquids or foods 32% Percent distribution of youngest children under 6 months who are living with their mother by breastfeeding status
  • 43. Anaemia Prevalence Percent of children age 6-59 months, and women age 15-49, classified as having anaemia 24 25 27 6 2 1 Children Women Severe Moderate Mild 53 32
  • 44. Trends in Ownership of ITNs 16 47 60 90 78 2006 DHS 2009 MIS 2011 DHS 2014-15 MIS 2016 DHS Percentage of households with at least one insecticide- treated net
  • 45. Use of ITNs 62 67 64 70 Slept under ITN Slept under ITN or in a house sprayed with IRS in past 12 months Children Pregnant women Percent of children and pregnant women age 15-49 in all households who slept under an ITN the night before the survey
  • 46. Use of IPTp 77 45 17 Received 1 or more doses of SP/Fansidar Received 2 or more doses of SP/Fansidar Received 3 or more doses of SP/Fansidar Percent of women age 15-49 with a live birth in the 2 years before the survey who received respective doses of SP/Fansidar, at least one during an ANC visit Increased from 25% in 2011
  • 47. Treatment of Children With Fever 81 49 88 Percentage for whom advice or treatment was sought Percentage who had blook taken from finger or heel for testing Percentage who took any ACT Among children under age 5 with fever: Among children under age 5 with fever who took any antimalarial:
  • 48. Low Haemoglobin and Malaria in Children 6 30 With haemoglobin less than 8g/dL Who tested positive for malaria according to the rapid diagnostic test Percent of children age 6-59 months:
  • 49. Knowledge of HIV Prevention Methods 85 93 84 87 94 83 Using condoms Limiting sex to one uninfected partner Using condoms AND limiting sex to one uninfected partner Women Men Percent of women and men age 15-49 who know that HIV can be prevented by:
  • 50. Comprehensive Knowledge of HIV among Youth by Residence 46 55 42 45 56 42 Total Urban Rural Women Men Percent of women and men age 15-24 with comprehensive knowledge* of HIV *Comprehensive knowledge means knowing that the risk of getting HIV can be reduced by using condoms and limiting sex to one uninfected partner, knowing that a healthy looking person can have HIV, and rejecting the two most common local misconceptions about HIV prevention and transmission: that HIV can be transmitted by mosquito bites or by sharing food with a person who has HIV.
  • 51. Comprehensive Knowledge of HIV among Youth, Trend 38 32 40 38 45 46 Male Female 2006 2011 Percent of women and men age 15-24 with comprehensive knowledge* of HIV *Comprehensive knowledge means knowing that the risk of getting HIV can be reduced by using condoms and limiting sex to one uninfected partner, knowing that a healthy looking person can have HIV, and rejecting the two most common local misconceptions about HIV prevention and transmission: that HIV can be transmitted by mosquito bites or by sharing food with a person who has HIV.
  • 52. Multiple Sexual Partners 2 21 2.3 21 22 6.3 2+ partners in past 12 months Reported using a condom at last sexual intercourse Mean number of lifetime sexual partners Women Men Percent of women and men age 15-49 who had: Among women and men age 15-49 who had 2+ sexual partners in past 12 months, percent who: Among women and men age 15-49 who have ever had sexual intercourse:
  • 53. HIV Testing 83 55 70 47 Ever tested and received results Tested in last 12 months and received results Women Men Percent of women and men age 15-49
  • 54. Women 15-49 who have ever tested for HIV/AIDS in the last 12 months and received their results
  • 55. Trend of HIV Testing 10 12 30 42 47 55 Male Female 2006 2011 2016 Percent of women and men age 15-49 who tested in last 12 months and received results
  • 56. Sexual Violence 22 13 8 4 Ever experienced sexual violence Experienced sexual violence in the last 12 months Women Men Percent of women and men age 15-49
  • 57. Ever experienced sexual violence – females (15-49)
  • 58. Ever experienced sexual violence – Males (15-49)
  • 59. Early Childhood Development Index 26 92 65 86 65 Literacy-numeracy Physical Social-emotional Learning Early childhood development index score* Percentage of children age 36-59 months who are developmentally on track in literacy- numeracy, physical, social-emotional, and learning domains, and the early child development index score *Percentage of children who are developmentally on track in at least three of these four domains.
  • 60. Early childhood development index score Percentage of children age 36- 59 months who are developmentally on track in literacy- numeracy, physical, social- emotional, and learning domains
  • 61. Maternal Mortality Ratio The 2016 UDHS asked women about the deaths of their sisters that occurred during pregnancy, delivery, or 42 days after delivery. The maternal mortality ratio excludes deaths that were due to accident or violence. The maternal mortality ratio for the seven- year period before the survey is 336 deaths per 100,000 live births (CI: 272 – 401).
  • 62. Pregnancy-Related Mortality Ratio The pregnancy-related mortality ratio includes all deaths in this period irrespective of the cause of death. The pregnancy-related mortality ratio for the 7-year period before the survey is 368 deaths per 100,000 live births (CI: 301 – 434).
  • 63. Trends in Pregnancy-Related Mortality Ratio 636 521 507 434 412 314 368 301 524 418 438 368 0 100 200 300 400 500 600 700 2000-01 DHS 2006 DHS 2011 DHS 2016 DHS
  • 64. Key Findings • Women have an average of 5.4 children. • The contraceptive prevalence rate among married women is 39%. • Infant mortality rate is 43 deaths per 1,000 live births and under-5 mortality rate is 64 deaths per 1,000 live births. • 73% of births were delivered in a health facility. • 55% of children received all basic vaccinations. • 29% of children under 5 are stunted. • 53% of children and 32% of women are anaemic. • 78% of households have at least one ITN. • 55% of women and 47% of men were tested for HIV in the past year and received the results of the test.