In 2023, the infant mortality rate in deaths per 1,000 live births in Uganda stood at 27.6. Between 1960 and 2023, the figure dropped by 97.2, though the decline followed an uneven course rather than a steady trajectory.

In 1955, the infant mortality rate in Uganda was 150 deaths per thousand live births, meaning that fifteen percent of all babies born in this year would not survive past their first birthday. Infant mortality would decrease steadily in Uganda in the 1950s and 1960s, as global advancements in healthcare arrived in the country following its independence from the British Empire. However, after falling to 120 deaths per thousand births in 1970, infant mortality would level off at around this rate for much of the 1970s to 1980s, as advancements in healthcare would stall following the beginning of brutal, despotic reign of Idi Amin, as well as the emergence of AIDS in the region. Following the return to a democratic government in 1986, infant mortality in Uganda would begin to fall once more, as the newly re-established government would begin a series of public health programs, most notably a series of mass immunization and vaccination campaigns against measles and polio in the 2010s. Despite these advancements and humanitarian efforts, in 2020 Uganda is estimated to have an infant mortality rate of 46 deaths per thousand newborns, which is actually below the sub-Saharan average.

Uganda UG: Mortality Rate: Infant: per 1000 Live Births data was reported at 37.700 Ratio in 2016. This records a decrease from the previous number of 39.200 Ratio for 2015. Uganda UG: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 107.900 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 132.300 Ratio in 1960 and a record low of 37.700 Ratio in 2016. Uganda UG: Mortality Rate: Infant: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uganda – Table UG.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Historical dataset showing Uganda infant mortality rate by year from 1950 to 2025.

Time series data for the statistic Infant_Mortality_Rate_Per_1000_Live_Births and country Uganda. Indicator Definition:Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.The statistic "Infant Mortality Rate Per 1000 Live Births" stands at 27.60 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -1.10 percentage points compared to the value the year prior.The 1 year change in percentage points is -1.10.The 3 year change in percentage points is -3.00.The 5 year change in percentage points is -5.30.The 10 year change in percentage points is -14.60.The Serie's long term average value is 89.13 per mille. It's latest available value, on 12/31/2023, is 61.53 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1980, to it's latest available value, on 12/31/2023, is -99.30.

Uganda UG: Mortality Rate: Under-5: per 1000 Live Births data was reported at 49.000 Ratio in 2017. This records a decrease from the previous number of 51.600 Ratio for 2016. Uganda UG: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 184.950 Ratio from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 222.600 Ratio in 1960 and a record low of 49.000 Ratio in 2017. Uganda UG: Mortality Rate: Under-5: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uganda – Table UG.World Bank.WDI: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Yearly (annual) dataset of the Uganda Infant Mortality Rate, including historical data, latest releases, and long-term trends from 1960-12-31 to 2023-12-31. Available for free download in CSV format.

Mortality rate, infant, male (per 1,000 live births) in Uganda was reported at 30.5 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Uganda - Mortality rate, infant, male (per 1,000 live births) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Uganda UG: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 47.500 Ratio in 2016. This records a decrease from the previous number of 50.300 Ratio for 2015. Uganda UG: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 73.700 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 162.700 Ratio in 1990 and a record low of 47.500 Ratio in 2016. Uganda UG: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uganda – Table UG.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Uganda UG: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 58.200 Ratio in 2016. This records a decrease from the previous number of 61.300 Ratio for 2015. Uganda UG: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 87.900 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 186.800 Ratio in 1990 and a record low of 58.200 Ratio in 2016. Uganda UG: Mortality Rate: Under-5: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uganda – Table UG.World Bank: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Mortality rate, infant, female (per 1,000 live births) in Uganda was reported at 24.5 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Uganda - Mortality rate, infant, female (per 1,000 live births) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Actual value and historical data chart for Uganda Number Of Infant Deaths

Background: Substantial mortality occurs after hospital discharge in children younger than 5 years with suspected sepsis, especially in low-income countries. A better understanding of its epidemiology is needed for effective interventions to reduce child mortality in these countries. We evaluated risk factors for death after discharge in children admitted to hospital for suspected sepsis in Uganda, and assessed how these differed by age, time of death, and location of death. Methods: In this prospective observational cohort study, we recruited 0-60-month-old children admitted with suspected sepsis from the community to the paediatric wards of six Ugandan hospitals. The primary outcome was six-month post-discharge mortality among those discharged alive. We evaluated the interactive impact of age, time of death, and location of death on risk factors for mortality. Findings: 6,545 children were enrolled, with 6,191 discharged alive. The median (interquartile range) time from discharge to death was 28 (9-74) days, with a six-month post-discharge mortality rate of 5·5%, constituting 51% of total mortality. Deaths occurred at home (45%), in-transit to care (18%), or in hospital (37%) during a subsequent readmission. Post-discharge death was strongly associated with weight-for-age z-scores < -3 (adjusted risk ratio [aRR] 4·7, 95% CI 3·7–5·8 vs a Z score of >–2), referral for further care (7·3, 5·6–9·5), and unplanned discharge (3·2, 2·5–4·0). The hazard ratio of those with severe anaemia increased with time since discharge, while the hazard ratios of discharge vulnerabilities (unplanned, poor feeding) decreased with time. Age influenced the effect of several variables, including anthropometric indices (less impact with increasing age), anaemia (greater impact), and admission temperature (greater impact). Data Collection Methods: All data were collected at the point of care using encrypted study tablets and these data were then uploaded to a Research Electronic Data Capture (REDCap) database hosted at the BC Children’s Hospital Research Institute (Vancouver, Canada). At admission, trained study nurses systematically collected data on clinical, social and demographic variables. Following discharge, field officers contacted caregivers at 2 and 4 months by phone, and in-person at 6 months, to determine vital status, post-discharge health-seeking, and readmission details. Verbal autopsies were conducted for children who had died following discharge. Data Processing Methods: For this analysis, data from both cohorts (0-6 months and 6-60 months) were combined and analysed as a single dataset. We used periods of overlapping enrolment (72% of total enrolment months) between the two cohorts to determine site-specific proportions of children who were 0-6 and 6-60 months of age. These proportions were used to weight the cohorts for the calculation of overall mortality rate. Z-scores were calculated using height and weight. Hematocrit was converted to hemoglobin. Distance to hospital was calculated using latitude and longitude. Extra symptom and diagnosis categories were created based on text field in these two variables. BCS score was created by summing all individual components. Abbreviations: MUAC -mid upper arm circumference wfa – weight for age wfl – weight for length bmi – body mass index lfa – length for age abx - antibiotics hr – heart rate rr – respiratory rate antimal - antimalarial sysbp – systolic blood pressure diasbp – diastolic blood pressure resp – respiratory cap - capillary BCS - Blantyre Coma Scale dist- distance hos - hospital ed - education disch - discharge dis -discharge fu – follow-up pd – post-discharge loc - location materl - maternal Ethics Declaration: This study was approved by the Mbarara University of Science and Technology Research Ethics Committee (No. 15/10-16), the Uganda National Institute of Science and Technology (HS 2207), and the University of British Columbia / Children & Women’s Health Centre of British Columbia Research Ethics Board (H16-02679). This manuscript adheres to the guidelines for STrengthening the Reporting of OBservational studies in Epidemiology (STROBE). Study Protocol & Supplementary Materials: Smart Discharges to improve post-discharge health outcomes in children: A prospective before-after study with staggered implementation, NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at sepsiscolab@bcchr.ca or visit our website.

Abstract

The 2006 Uganda Demographic and Health Survey (UDHS) is a nationally representative survey of 8,531 women age 15-49 and 2,503 men age 15-54. The UDHS is the fourth comprehensive survey conducted in Uganda as part of the worldwide Demographic and Health Surveys (DHS) project. The primary purpose of the UDHS is to furnish policymakers and planners with detailed information on fertility; family planning; infant, child, adult, and maternal mortality; maternal and child health; nutrition; and knowledge of HIV/AIDS and other sexually transmitted infections. In addition, in one in three households selected for the survey, women age 15-49, men age 15-54, and children under age 5 years were weighed and their height was measured. Women, men, and children age 6-59 months in this subset of households were tested for anaemia, and women and children were tested for vitamin A deficiency. The 2006 UDHS is the first DHS survey in Uganda to cover the entire country.

The 2006 Uganda Demographic and Health Survey (UDHS) was designed to provide information on demographic, health, and family planning status and trends in the country. Specifically, the UDHS collected information on fertility levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, and breastfeeding practices. In addition, data were collected on the nutritional status of mothers and young children; infant, child, adult, and maternal mortality; maternal and child health; awareness and behaviour regarding HIV/AIDS and other sexually transmitted infections; and levels of anaemia and vitamin A deficiency.

The 2006 UDHS is a follow-up to the 1988-1989, 1995, and 2000-2001 UDHS surveys, which were also implemented by the Uganda Bureau of Statistics (UBOS). The specific objectives of the 2006 UDHS are as follows:

• To collect data at the national level that will allow the calculation of demographic rates, particularly the fertility and infant mortality rates
• To analyse the direct and indirect factors that determine the level and trends in fertility and mortality
• To measure the level of contraceptive knowledge and practice of women and men by method, by urban-rural residence, and by region
• To collect data on knowledge and attitudes of women and men about sexually transmitted infections and HIV/AIDS, and to evaluate patterns of recent behaviour regarding condom use
• To assess the nutritional status of children under age five and women by means of anthropometric measurements (weight and height), and to assess child feeding practices
• To collect data on family health, including immunizations, prevalence and treatment of diarrhoea and other diseases among children under five, antenatal visits, assistance at delivery, and breastfeeding
• To measure vitamin A deficiency in women and children, and to measure anaemia in women, men, and children
• To measure key education indicators including school attendance ratios and primary school grade repetition and dropout rates
• To collect information on the extent of disability
• To collect information on the extent of gender-based violence.

MAIN RESULTS

• Fertility : Survey results indicate that the total fertility rate (TFR) for the country is 6.7 births per woman. The TFR in urban areas is much lower than in the rural areas (4.4 and 7.1 children, respectively). Kampala, whose TFR is 3.7, has the lowest fertility. Fertility rates in Central 1, Central 2, and Southwest regions are also lower than the national level. Removing four districts from the 2006 data that were not covered in the 20002001 UDHS, the 2006 TFR is 6.5 births per woman, compared with 6.9 from the 2000-2001 UDHS. Education and wealth have a marked effect on fertility, with uneducated mothers having about three more children on average than women with at least some secondary education and women in the lowest wealth quintile having almost twice as many children as women in the highest wealth quintile.

• Family planning : Overall, knowledge of family planning has remained consistently high in Uganda over the past five years, with 97 percent of all women and 98 percent of all men age 15-49 having heard of at least one method of contraception. Pills, injectables, and condoms are the most widely known modern methods among both women and men.

• Maternal health : Ninety-four percent of women who had a live birth in the five years preceding the survey received antenatal care from a skilled health professional for their last birth. These results are comparable to the 2000-2001 UDHS. Only 47 percent of women make four or more antenatal care visits during their entire pregnancy, an improvement from 42 percent in the 2000-2001 UDHS. The median duration of pregnancy for the first antenatal visit is 5.5 months, indicating that Ugandan women start antenatal care at a relatively late stage in pregnancy.

• Child health : Forty-six percent of children age 12-23 months have been fully vaccinated. Over nine in ten (91 percent) have received the BCG vaccination, and 68 percent have been vaccinated against measles. The coverage for the first doses of DPT and polio is relatively high (90 percent for each). However, only 64 percent go on to receive the third dose of DPT, and only 59 percent receive their third dose of polio vaccine. There are notable improvements in vaccination coverage since the 2000-2001 UDHS. The percentage of children age 12-23 months fully vaccinated at the time of the survey increased from 37 percent in 2000-2001 to 44 percent in 2006. The percentage who had received none of the six basic vaccinations decreased from 13 percent in 2000-2001 to 8 percent in 2006.

• Malaria : The 2006 UDHS gathered information on the use of mosquito nets, both treated and untreated. The data show that only 34 percent of households in Uganda own a mosquito net, with 16 percent of households owning an insecticide-treated net (ITN). Only 22 percent of children under five slept under a mosquito net on the night before the interview, while a mere 10 percent slept under an ITN.

• Breastfeeding and nutrition : In Uganda, almost all children are breastfed at some point. However, only six in ten children under the age of 6 months are exclusively breast-fed.

• HIV/AIDS AND stis : Knowledge of AIDS is very high and widespread in Uganda. In terms of HIV prevention strategies, women and men are most aware that the chances of getting the AIDS virus can be reduced by limiting sex to one uninfected partner who has no other partners (89 percent of women and 95 percent of men) or by abstaining from sexual intercourse (86 percent of women and 93 percent of men). Knowledge of condoms and the role they can play in preventing transmission of the AIDS virus is not quite as high (70 percent of women and 84 percent of men).

• Orphanhood and vulnerability : Almost one in seven children under age 18 is orphaned (15 percent), that is, one or both parents are dead. Only 3 percent of children under the age of 18 have lost both biological parents.

• Women's status and gender violence : Data for the 2006 UDHS show that women in Uganda are generally less educated than men. Although the gender gap has narrowed in recent years, 19 percent of women age 15-49 have never been to school, compared with only 5 percent of men in the same age group.

• Mortality : At current mortality levels, one in every 13 Ugandan children dies before reaching age one, while one in every seven does not survive to the fifth birthday. After removing districts not covered in the 2000-2001 UDHS from the 2006 data, findings show that infant mortality has declined from 89 deaths per 1,000 live births in the 2000-2001 UDHS to 75 in the 2006 UDHS. Under-five mortality has declined from 158 deaths per 1,000 live births to 137.

Geographic coverage

The sample of the 2006 UDHS was designed to allow separate estimates at the national level and for urban and rural areas of the country. The sample design also allowed for specific indicators, such as contraceptive use, to be calculated for each of nine sub-national regions. Portions of the northern region were oversampled in order to provide estimates for two special areas of interest: Karamoja and internally displaced persons (IDP) camps. At the time of the survey there were 56 districts. This number later increased to 80. The following shows the 80 districts divided into the regional sampling strata:

• Central 1: Kalangala, Masaka, Mpigi, Rakai, Lyantonde, Sembabule, and Wakiso
• Central 2: Kayunga, Kiboga, Luwero, Nakaseke, Mubende, Mityana, Mukono, and Nakasongola
• Kampala: Kampala
• East Central: Bugiri, Busia, Iganga, Namutumba, Jinja, Kamuli, Kaliro, and Mayuge
• Eastern: Kaberamaido, Kapchorwa, Bukwa, Katakwi, Amuria, Kumi, Bukedea, Mbale, Bududa, Manafwa, Pallisa, Budaka, Sironko, Soroti, Tororo, and Butaleja
• North: Apac, Oyam, Gulu, Amuru, Kitgum, Lira, Amolatar, Dokolo, Pader, Kotido, Abim, Kaabong, Moroto, and Nakapiripirit (Estimates for this region include both settled and IDP populations.) Karamoja area: Kotido, Abim, Kaabong, Moroto, and Nakapiripirit IDP: IDP camps in Apac, Oyam, Gulu, Amuru, Kitgum, Lira, Amolatar, Dokolo and Pader districts
• West Nile: Adjumani, Arua, Koboko, Nyadri, Nebbi, and Yumbe
• Western: Bundibugyo, Hoima, Kabarole, Kamwenge, Kasese, Kibaale, Kyenjojo, Masindi, and Buliisa
• Southwest: Bushenyi, Kabale, Kanungu, Kisoro, Mbarara, Ibanda, Isingiro, Kiruhura, Ntungamo, and Rukungiri

Analysis unit

• Household
• Women age 15-49
• Men age 15-54
• Children under five

Universe

The population covered by the 2006 UDHS is defined as the universe of alll women age 15-49 who were either permanent residents of the households in the 2006 UDHS sample or visitors present in the household on the night

BackgroundDespite the sharp decline in global under-5 deaths since 1990, uneven progress has been achieved across and within countries. In sub-Saharan Africa (SSA), the Millennium Development Goals (MDGs) for child mortality were met only by a few countries. Valid concerns exist as to whether the region would meet new Sustainable Development Goals (SDGs) for under-5 mortality. We therefore examine further sources of variation by assessing age patterns, trends, and forecasts of mortality rates.Methods and findingsData came from 106 nationally representative Demographic and Health Surveys (DHSs) with full birth histories from 31 SSA countries from 1990 to 2017 (a total of 524 country-years of data). We assessed the distribution of age at death through the following new demographic analyses. First, we used a direct method and full birth histories to estimate under-5 mortality rates (U5MRs) on a monthly basis. Second, we smoothed raw estimates of death rates by age and time by using a two-dimensional P-Spline approach. Third, a variant of the Lee–Carter (LC) model, designed for populations with limited data, was used to fit and forecast age profiles of mortality. We used mortality estimates from the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME) to adjust, validate, and minimize the risk of bias in survival, truncation, and recall in mortality estimation. Our mortality model revealed substantive declines of death rates at every age in most countries but with notable differences in the age patterns over time. U5MRs declined from 3.3% (annual rate of reduction [ARR] 0.1%) in Lesotho to 76.4% (ARR 5.2%) in Malawi, and the pace of decline was faster on average (ARR 3.2%) than that observed for infant (IMRs) (ARR 2.7%) and neonatal (NMRs) (ARR 2.0%) mortality rates. We predict that 5 countries (Kenya, Rwanda, Senegal, Tanzania, and Uganda) are on track to achieve the under-5 sustainable development target by 2030 (25 deaths per 1,000 live births), but only Rwanda and Tanzania would meet both the neonatal (12 deaths per 1,000 live births) and under-5 targets simultaneously. Our predicted NMRs and U5MRs were in line with those estimated by the UN IGME by 2030 and 2050 (they overlapped in 27/31 countries for NMRs and 22 for U5MRs) and by the Institute for Health Metrics and Evaluation (IHME) by 2030 (26/31 and 23/31, respectively). This study has a number of limitations, including poor data quality issues that reflected bias in the report of births and deaths, preventing reliable estimates and predictions from a few countries.ConclusionsTo our knowledge, this study is the first to combine full birth histories and mortality estimates from external reliable sources to model age patterns of under-5 mortality across time in SSA. We demonstrate that countries with a rapid pace of mortality reduction (ARR ≥ 3.2%) across ages would be more likely to achieve the SDG mortality targets. However, the lower pace of neonatal mortality reduction would prevent most countries from achieving those targets: 2 countries would reach them by 2030, 13 between 2030 and 2050, and 13 after 2050.

The 1995 Uganda Demographic and Health Survey (UDHS-II) is a nationally-representative survey of 7,070 women age 15-49 and 1,996 men age 15-54. The UDHS was designed to provide information on levels and trends of fertility, family planning knowledge and use, infant and child mortality, and maternal and child health. Fieldwork for the UDHS took place from late-March to mid-August 1995. The survey was similar in scope and design to the 1988-89 UDHS. Survey data show that fertility levels may be declining, contraceptive use is increasing, and childhood mortality is declining; however, data also point to several remaining areas of challenge.

The 1995 UDHS was a follow-up to a similar survey conducted in 1988-89. In addition to including most of the same questions included in the 1988-89 UDHS, the 1995 UDHS added more detailed questions on AIDS and maternal mortality, as well as incorporating a survey of men. The general objectives of the
1995 UDHS are to:
- provide national level data which will allow the calculation of demographic rates, particularly fertility and childhood mortality rates;
- analyse the direct and indirect factors which determine the level and trends of fertility;
- measure the level of contraceptive knowledge and practice (of both women and men) by method, by urban-rural residence, and by region;
- collect reliable data on maternal and child health indicators; immunisation, prevalence, and treatment of diarrhoea and other diseases among children under age four; antenatal visits; assistance at delivery; and breastfeeding;
- assess the nutritional status of children under age four and their mothers by means of anthropometric measurements (weight and height), and also child feeding practices; and
- assess among women and men the prevailing level of specific knowledge and attitudes regarding AIDS and to evaluate patterns of recent behaviour regarding condom use.

MAIN RESULTS

- Fertility:

Fertility Trends. UDHS data indicate that fertility in Uganda may be starting to decline. The total fertility rate has declined from the level of 7.1 births per woman that prevailed over the last 2 decades to 6.9 births for the period 1992-94. The crude birth rate for the period 1992-94 was 48 live births per I000 population, slightly lower than the level of 52 observed from the 1991 Population and Housing Census. For the roughly 80 percent of the country that was covered in the 1988-89 UDHS, fertility has declined from 7.3 to 6.8 births per woman, a drop of 7 percent over a six and a half year period.

Birth Intervals. The majority of Ugandan children (72 percent) are born after a "safe" birth interval (24 or more months apart), with 30 percent born at least 36 months after a prior birth. Nevertheless, 28 percent of non-first births occur less than 24 months after the preceding birth, with 10 percent occurring less than 18 months since the previous birth. The overall median birth interval is 29 months.
Fertility Preferences. Survey data indicate that there is a strong desire for children and a preference for large families in Ugandan society. Among those with six or more children, 18 percent of married women want to have more children compared to 48 percent of married men. Both men and women desire large families.

- Family planning:

Knowledge of Contraceptive Methods. Knowledge of contraceptive methods is nearly universal with 92 percent of all women age 15-49 and 96 percent of all men age 15-54 knowing at least one method of family planning. Increasing Use of Contraception. The contraceptive prevalence rate in Uganda has tripled over a six-year period, rising from about 5 percent in approximately 80 percent of the country surveyed in 1988-89 to 15 percent in 1995.

Source of Contraception. Half of current users (47 percent) obtain their methods from public sources, while 42 percent use non-governmental medical sources, and other private sources account for the remaining 11 percent.

- Maternal and child health:

High Childhood Mortality. Although childhood mortality in Uganda is still quite high in absolute terms, there is evidence of a significant decline in recent years. Currently, the direct estimate of the infant mortality rate is 81 deaths per 1,000 births and under five mortality is 147 per 1,000 births, a considerable decline from the rates of 101 and 180, respectively, that were derived for the roughly 80 percent of the country that was covered by the 1988-89 UDHS.

Childhood Vaccination Coverage. One possible reason for the declining mortality is improvement in childhood vaccination coverage. The UDHS results show that 47 percent of children age 12-23 months are fully vaccinated, and only 14 percent have not received any vaccinations.

Childhood Nutritional Status. Overall, 38 percent of Ugandan children under age four are classified as stunted (low height-for-age) and 15 percent as severely stunted. About 5 percent of children under four in Uganda are wasted (low weight-for-height); 1 percent are severely wasted. Comparison with other data sources shows little change in these measures over time.

- AIDS:

Virtually all women and men in Uganda are aware of AIDS. About 60 percent of respondents say that limiting the number of sexual partners or having only one partner can prevent the spread of disease. However, knowledge of ways to avoid AIDS is related to respondents' education. Safe patterns of sexual behaviour are less commonly reported by respondents who have little or no education than those with more education. Results show that 65 percent of women and 84 percent of men believe that they have little or no chance of being infected.

Availability of Health Services. Roughly half of women in Uganda live within 5 km of a facility providing antenatal care, delivery care, and immunisation services. However, the data show that children whose mothers receive both antenatal and delivery care are more likely to live within 5 km of a facility providing maternal and child health (MCH) services (70 percent) than either those whose mothers received only one of these services (46 percent) or those whose mothers received neither antenatal nor delivery care (39 percent).

In 2023, the crude birth rate in live births per 1,000 inhabitants in Uganda was 35.2. Between 1960 and 2023, the figure dropped by 13.39, though the decline followed an uneven course rather than a steady trajectory.

Edits made by districts Uganda infant mortality study 2016.

Background: Composite outcomes, which include mortality and readmission rates, are often used in risk prediction models following hospital discharge when event rates for the primary outcome of interest, mortality, are low. However, increased readmission rates may result in decreased mortality making interpretation of the composite outcome difficult. We assess the usefulness of a composite outcome of post-discharge readmission and mortality as a target outcome in this context. Methods: This was a secondary analysis of data collected among mothers and their newborn(s) admitted for delivery at two regional referral hospitals in Uganda. Six-week post-discharge mortality (all-cause) and readmission in newborn infants were analyzed using a competing risk framework. The Sub distribution Hazard Ratios (SHRs) were compared across predictor variables to examine the relationship between the two outcomes. Results: Of the 206 predictors, 81 had a consistent association with both outcomes. These include a higher weight (Mortality SHR: 0.14, Readmission SHR: 0.68) and length of the baby (Mortality SHR: 0.85, Readmission SHR: 0.91). However, 125 variables depicted an association in opposing directions for both outcomes which may be linked to social and financial barriers to care-seeking. These include a travel time to the hospital of greater than 1 hour (Mortality SHR: 1.4, Readmission SHR: 0.28). Conclusion: While mortality is unequivocally a negative outcome, readmission may be a positive outcome, reflecting health seeking, or a negative outcome, reflecting recurrent illness. This directional dichotomy is reflected to varying degrees within different variables. When using a composite outcome for a prediction model, caution should be exercised to ensure that the model identifies individuals at risk of the intended outcomes of interest, rather than merely the proxies used to represent those outcomes. Identifying predictors with a consistent relationship for both outcomes may yield a more optimized and less biased prediction model for use in clinical care. Data Collection Methods: All data were collected at the point of care using encrypted study tablets and these data were then uploaded to a Research Electronic Data Capture (REDCap) database hosted at the BC Children’s Hospital Research Institute (Vancouver, Canada). Following delivery of newborns, written consent was obtained to complete a structured questionnaire in-person and a follow-up questionnaire over the phone six weeks later broadly categorized into the following five domains: 1) social and demographic, 2) pregnancy history and antenatal care, 3) delivery, 4) maternal discharge, and 5) neonatal discharge. Data Processing Methods: The initial cleaned data file was created using R version 4.2.1 (R Foundation for Statistical Computing, Vienna, Austria). Further processing to obtain the final dataset used for analysis including filtering for exclusion criteria, removing predictors with low incidence, and imputing missing values using multiple imputations were also performed in R in the R scripts titled “MBCO_Analysis_Code_SD.R”. Data Analysis Methods: All analyses were conducted using R version 4.4.0 (R Foundation for Statistical Computing, Vienna, Austria). Libraries used within the script include: tidyverse, Hmisc, reshape2, mice, survival, cmprsk, riskRegression, survminer, ggplot2, ggfortify and gridExtra. Ethics Declaration: This study was approved by Makerere University School of Public Health (MakSPH) Institutional Review Board (SPH-2021-177), the Uganda National Council of Science and Technology (UNCST) in Uganda (HS2174ES) and the University of British Columbia in Canada (H21-03709). This study has been registered at clinicaltrials.gov (NCT05730387). Abbreviations: ANC: Antenatal Care CI: Confidence interval HIV: Human immunodeficiency virus HR: Heart rate JRRH: Jinja Regional Referral Hospital LMIC: Low-middle income country MRRH: Mbarara Regional Referral Hospital OR: Odds ratio PNC: Postnatal care PPD: Postpartum depression Q1: First quartile Q3: Third quartile RR: Respiratory rate SD: Standard deviation SpO2: Oxygen saturation Funding Source(s): Funding was provided by British Columbia Children's Hospital Research Institute Healthy Starts Catalyst Grant: JMA, ACD. Abhroneel Ghosh also received funding from the Mitacs Globalink Research Internship to conduct research with the team at the Institute for Global Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Study Protocol & Supplementary Materials: Smart Discharges for Mom & Baby 2.0: A cohort study to develop prognostic algorithms for post-discharge readmission and mortality among mother-infant dyads NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain...

Uganda UG: Life Expectancy at Birth: Total data was reported at 59.889 Year in 2016. This records an increase from the previous number of 59.575 Year for 2015. Uganda UG: Life Expectancy at Birth: Total data is updated yearly, averaging 48.827 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 59.889 Year in 2016 and a record low of 43.991 Year in 1960. Uganda UG: Life Expectancy at Birth: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uganda – Table UG.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;