Death rate, crude (per 1,000 people) in Kenya was reported at 7.211 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Death rate, crude - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

In 1900, the child mortality rate in Kenya was just over 507 deaths for every 1,000 live births. This means that more than half of all children born in this years did not survive past their fifth birthday. This rate would remain relatively constant through the first thirty years of the 20th century. However, child mortality would begin to sharply fall beginning in the 1930s, in part the result of a rapid modernization campaign between the 1930s to 1950s. In the post-war years, as the use of insecticides such as DDT and insecticide-treated nets (ITNs) became more widespread, and several anti-malarial drugs became more widely available, malaria and other insect-borne diseases saw a sharp reduction in Kenya, which, when combined with an expansion of healthcare access throughout the country, led to a large reduction in child mortality from the 1950s to the mid-1980s.

However, in the late 1980s, this downward trend would slow, as an economic depression and the spread of the HIV/AIDS epidemic would lead to both an increase in complications for children born with the disease, as well as place an increased strain on the Kenyan healthcare system as a whole. After reaching a record low of 106 deaths in 1990, child mortality would rise for the first time in 65 years in 1995 to 108 deaths per 1,000 births. However, thanks in part to significantly improved access to HIV counselling and treatments, progress in malaria eradication efforts, and overall improvement in the economy, child mortality would begin to fall again, and in 2020, it is estimated that for every 1,000 live births, over 95 percent of all children will make it past the age of five.

Respiratory infections and tuberculosis were the most frequent cause of casualties in Kenya as of 2021, with a rate of almost 208 deaths per 100,000. In addition, cardiovascular diseases, and HIV/AIDS and sexually transmitted infections caused high number of deaths compared to other disorders, at about 76 deaths per 100,000 and 66 deaths per 100,000 respectively.

Kenya KE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data was reported at 42.000 NA in 2015. This records an increase from the previous number of 41.000 NA for 2014. Kenya KE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data is updated yearly, averaging 28.000 NA from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 42.000 NA in 2015 and a record low of 23.000 NA in 1990. Kenya KE: Lifetime Risk of Maternal Death: 1 in: Rate Varies by Country data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Life time risk of maternal death is the probability that a 15-year-old female will die eventually from a maternal cause assuming that current levels of fertility and mortality (including maternal mortality) do not change in the future, taking into account competing causes of death.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average;

UNICEF's country profile for Kenya, including under-five mortality rates, child health, education and sanitation data.

In 1950, the infant mortality rate in Kenya was 187 deaths for every 1,000 live births. This means that just under 19 percent of all children born in 1950 were not expected to live past their first birthday. However, as the use of insecticides such as DDT and insecticide-treated nets (ITNs) became more widespread, and several anti-malarial drugs became more widely available, malaria and other insect-borne diseases (one of the major sources of infant mortality in the country) saw a sharp reduction in Kenya, leading to a large reduction in infant mortality from the 1950s to the mid-1980s.

In the late 1980s, this downward trend would slow, as an economic depression and the spread of the HIV/AIDS epidemic would lead to both an increase in complications for children born with the disease, as well as increased strain on the Kenyan healthcare system as a whole. After remaining at 74 deaths per 1000 births through the remainder of the 20th century, infant mortality would continue to fall again, in part the result of significantly improved access to HIV counselling and treatments and progress in malaria eradication efforts. In 2020, it is estimated that for every 1,000 live births, there will be 36 deaths before the first birthday.

Kenya KE: Number of Maternal Death data was reported at 8,000.000 Person in 2015. This records a decrease from the previous number of 8,200.000 Person for 2014. Kenya KE: Number of Maternal Death data is updated yearly, averaging 8,700.000 Person from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 10,000.000 Person in 2004 and a record low of 6,700.000 Person in 1992. Kenya KE: Number of Maternal Death data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Health Statistics. A maternal death refers to the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes.; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Sum;

BackgroundGlobally in 2016, 1.7 million people died of Tuberculosis (TB). This study aimed to estimate all-cause mortality rate, identify features associated with mortality and describe trend in mortality rate from treatment initiation.MethodA 5-year (2012–2016) retrospective analysis of electronic TB surveillance data from Kilifi County, Kenya. The outcome was all-cause mortality within 180 days after starting TB treatment. The risk factors examined were demographic and clinical features at the time of starting anti-TB treatment. We performed survival analysis with time at risk defined from day of starting TB treatment to time of death, lost-to-follow-up or completing treatment. To account for ‘lost-to-follow-up’ we used competing risk analysis method to examine risk factors for all-cause mortality.Results10,717 patients receiving TB treatment, median (IQR) age 33 (24–45) years were analyzed; 3,163 (30%) were HIV infected. Overall, 585 (5.5%) patients died; mortality rate of 12.2 (95% CI 11.3–13.3) deaths per 100 person-years (PY). Mortality rate increased from 7.8 (95% CI 6.4–9.5) in 2012 to 17.7 (95% CI 14.9–21.1) in 2016 per 100PY (Ptrend

Kenya KE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 510.000 Ratio in 2015. This records a decrease from the previous number of 525.000 Ratio for 2014. Kenya KE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 685.500 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 768.000 Ratio in 2003 and a record low of 510.000 Ratio in 2015. Kenya KE: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.

In 2021, the number of deaths from non-communicable diseases (NCDs) in Kenya decreased to 116,000. This represents an almost 11 percent decrease from the highest level of 130,000 deaths recorded in 2019. NCDs are chronic conditions which include cardiovascular diseases, cancers, chronic respiratory diseases among others

BackgroundIncreasing the distribution and use of insecticide-treated nets (ITNs) in Sub-Saharan Africa has made controlling malaria with ITNs more practical. We evaluated community effects induced by ITNs, specifically long-lasting insecticidal nets (LLINs), under ordinary conditions in an endemic malaria area of Western Kenya. MethodsUsing the database from Mbita Health and Demographic Surveillance System (HDSS), children younger than 5 years old were assessed over four survey periods. We analyzed the effect of bed net usage, LLIN density and population density of young people around a child on all-cause child mortality (ACCM) rates using Cox PH models. ResultsDuring the study, 14,554 children were followed and 250 deaths were recorded. The adjusted hazard ratios (HRs) for LLIN usage compared with no net usage were not significant among the models: 1.08 (95%CI 0.76–1.52), 1.19 (95%CI 0.69–2.08) and 0.92 (95%CI 0.42–2.02) for LLIN users, untreated net users, and any net users, respectively. A significant increasing linear trend in risk across LLIN density quartiles (HR = 1.25; 95%CI 1.03–1.51) and a decreasing linear trend in risk across young population density quartiles among non-net user children (HR = 0.77; 95%CI 0.63–0.94) were observed. ConclusionsAlthough our data showed that current LLIN coverage level (about 35%) could induce a community effect to protect children sleeping without bed nets even in a malaria-endemic area, it appears that a better system is needed to monitor the current malaria situation globally in order to optimize malaria control programs with limited resources.

Abstract

The 1998 Kenya Demographic and Health Survey (KDHS) is a nationally representative survey of 7,881 wo 881 women age 15-49 and 3,407 men age 15-54. The KDHS was implemented by the National Council for Population and Development (NCPD) and the Central Bureau of Statistics (CBS), with significant technical and logistical support provided by the Ministry of Health and various other governmental and nongovernmental organizations in Kenya. Macro International Inc. of Calverton, Maryland (U.S.A.) provided technical assistance throughout the course of the project in the context of the worldwide Demographic and Health Surveys (DHS) programme, while financial assistance was provided by the U.S. Agency for International Development (USAID/Nairobi) and the Department for International Development (DFID/U.K.). Data collection for the KDHS was conducted from February to July 1998. Like the previous KDHS surveys conducted in 1989 and 1993, the 1998 KDHS was designed to provide information on levels and trends in fertility, family planning knowledge and use, infant and child mortality, and other maternal and child health indicators. However, the 1998 KDHS went further to collect more in-depth data on knowledge and behaviours related to AIDS and other sexually transmitted diseases (STDs), detailed “calendar” data that allows estimation of contraceptive discontinuation rates, and information related to the practice of female circumcision. Further, unlike earlier surveys, the 1998 KDHS provides a national estimate of the level of maternal mortality (i.e. related to pregnancy and childbearing).The KDHS data are intended for use by programme managers and policymakers to evaluate and improve health and family planning programmes in Kenya. Fertility. The survey results demonstrate a continuation of the fertility transition in Kenya. At current fertility levels, a Kenyan women will bear 4.7 children in her life, down 30 percent from the 1989 KDHS when the total fertility rate (TFR) was 6.7 children, and 42 percent since the 1977/78 Kenya Fertility Survey (KFS) when the TFR was 8.1 children per woman. A rural woman can expect to have 5.2 children, around two children more than an urban women (3.1 children). Fertility differentials by women's education level are even more remarkable; women with no education will bear an average of 5.8 children, compared to 3.5 children for women with secondary school education. Marriage. The age at which women and men first marry has risen slowly over the past 20 years. Currently, women marry for the first time at an average age of 20 years, compared with 25 years for men. Women with a secondary education marry five years later (22) than women with no education (17).The KDHS data indicate that the practice of polygyny continues to decline in Kenya. Sixteen percent of currently married women are in a polygynous union (i.e., their husband has at least one other wife), compared with 19 percent of women in the 1993 KDHS, 23 percent in the 1989 KDHS, and 30 percent in the 1977/78 KFS. While men first marry an average of 5 years later than women, men become sexual active about onehalf of a year earlier than women; in the youngest age cohort for which estimates are available (age 20-24), first sex occurs at age 16.8 for women and 16.2 for men. Fertility Preferences. Fifty-three percent of women and 46 percent of men in Kenya do not want to have any more children. Another 25 percent of women and 27 percent of men would like to delay their next child for two years or longer. Thus, about three-quarters of women and men either want to limit or to space their births. The survey results show that, of all births in the last three years, 1 in 10 was unwanted and 1 in 3 was mistimed. If all unwanted births were avoided, the fertility rate in Kenya would fall from 4.7 to 3.5 children per woman. Family Planning. Knowledge and use of family planning in Kenya has continued to rise over the last several years. The 1998 KDHS shows that virtually all married women (98 percent) and men (99 percent) were able to cite at least one modern method of contraception. The pill, condoms, injectables, and female sterlisation are the most widely known methods. Overall, 39 percent of currently married women are using a method of contraception. Use of modern methods has increased from 27 in the 1993 KDHS to 32 percent in the 1998 KDHS. Currently, the most widely used methods are contraceptive injectables (12 percent of married women), the pill (9 percent), female sterilisation (6 percent), and periodic abstinence (6 percent). Three percent of married women are using the IUD, while over 1 percent report using the condom and 1 percent use of contraceptive implants (Norplant). The rapid increase in use of injectables (from 7 to 12 percent between 1993 and 1998) to become the predominant method, plus small rises in the use of implants, condoms and female sterilisation have more than offset small decreases in pill and IUD use. Thus, both new acceptance of contraception and method switching have characterised the 1993-1998 intersurvey period. Contraceptive use varies widely among geographic and socioeconomic subgroups. More than half of currently married women in Central Province (61 percent) and Nairobi Province (56 percent) are currently using a method, compared with 28 percent in Nyanza Province and 22 percent in Coast Province. Just 23 percent of women with no education use contraception versus 57 percent of women with at least some secondary education. Government facilities provide contraceptives to 58 percent of users, while 33 percent are supplied by private medical sources, 5 percent through other private sources, and 3 percent through community-based distribution (CBD) agents. This represents a significant shift in sourcing away from public outlets, a decline from 68 percent estimated in the 1993 KDHS. While the government continues to provide about two-thirds of IUD insertions and female sterilisations, the percentage of pills and injectables supplied out of government facilities has dropped from over 70 percent in 1993 to 53 percent for pills and 64 percent for injectables in 1998. Supply of condoms through public sector facilities has also declined: from 37 to 21 percent between 1993 and 1998. The survey results indicate that 24 percent of married women have an unmet need for family planning (either for spacing or limiting births). This group comprises married women who are not using a method of family planning but either want to wait two year or more for their next birth (14 percent) or do not want any more children (10 percent). While encouraging that unmet need at the national level has declined (from 34 to 24 percent) since 1993, there are parts of the country where the need for contraception remains high. For example, the level of unmet need is higher in Western Province (32 percent) and Coast Province (30 province) than elsewhere in Kenya. Early Childhood Mortality. One of the main objectives of the KDHS was to document current levels and trends in mortality among children under age 5. Results from the 1998 KDHS data make clear that childhood mortality conditions have worsened in the early-mid 1990s; this after a period of steadily improving child survival prospects through the mid-to-late 1980s. Under-five mortality, the probability of dying before the fifth birthday, stands at 112 deaths per 1000 live births which represents a 24 percent increase over the last decade. Survival chances during age 1-4 years suffered disproportionately: rising 38 percent over the same period. Survey results show that childhood mortality is especially high when associated with two factors: a short preceding birth interval and a low level of maternal education. The risk of dying in the first year of life is more than doubled when the child is born after an interval of less than 24 months. Children of women with no education experience an under-five mortality rate that is two times higher than children of women who attended secondary school or higher. Provincial differentials in childhood mortality are striking; under-five mortality ranges from a low of 34 deaths per 1000 live births in Central Province to a high of 199 per 1000 in Nyanza Province. Maternal Health. Utilisation of antenatal services is high in Kenya; in the three years before the survey, mothers received antenatal care for 92 percent of births (Note: These data do not speak to the quality of those antenatal services). The median number of antenatal visits per pregnancy was 3.7. Most antenatal care is provided by nurses and trained midwives (64 percent), but the percentage provided by doctors (28 percent) has risen in recent years. Still, over one-third of women who do receive care, start during the third trimester of pregnancy-too late to receive the optimum benefits of antenatal care. Mothers reported receiving at least one tetanus toxoid injection during pregnancy for 90 percent of births in the three years before the survey. Tetanus toxoid is a powerful weapon in the fight against neonatal tetanus, a deadly disease that attacks young infants. Forty-two percent of births take place in health facilities; however, this figure varies from around three-quarters of births in Nairobi to around one-quarter of births in Western Province. It is important for the health of both the mother and child that trained medical personnel are available in cases of prolonged labour or obstructed delivery, which are major causes of maternal morbidity and mortality. The 1998 KDHS collected information that allows estimation of mortality related to pregnancy and childbearing. For the 10-year period before the survey, the maternal mortality ratio was estimated to be 590 deaths per 100,000 live births. Bearing on average 4.7 children, a Kenyan woman has a 1 in 36 chance of dying from maternal causes during her lifetime. Childhood Immunisation. The KDHS

As of July 4, 2022, Kenya had over 334,500 cumulative confirmed cases of coronavirus (COVID-19). The number of casualties were at some 5,650, while the recoveries amounted to over 325,400. The capital Nairobi registered the highest number of cases in Kenyan counties.

In 2021, the number of deaths from non-communicable diseases (NCDs) in Kenya was 62,400 among men, compared to 63,400 among women. For both genders, this represents a gradually decreasing trend from the highest recorded levels in 2019. NCDs are chronic conditions such as cardiovascular disease, cancers, chronic respiratory diseases, and diabetes to name a few.

High mortality poses a serious threat to sustainable conservation of the African elephant (Loxodonta africana). Using detected carcass data collected by the Kenya Wildlife Service (KWS) during 1992-2017, we analyze temporal and spatial variation in elephant mortality in Kenya. We investigate the major mortality causes and means used to kill elephants, carcass category, tusk recovery status, variation in mortality with elephant age and sex classes, differences between inside and outside protected areas (PAs), the Proportion of Illegally Killed Elephants (PIKE) and the overall mortality rate (MR — the number of dead/number of live elephants in a given year). In total 9,182 elephant deaths were recorded during the 26 years. Elephant mortality increased over time and was attributed primarily to natural (33.1%) and human-related causes, particularly ivory poaching (31.5%) and human-elephant conflicts (19.9%). Elephant mortality varied across Kenya’s 47 counties in correspondence with variation in elephant population size and was the highest in the leading elephant range counties of Taita Taveta, Laikipia, Samburu and Meru. Mortality was higher for males and adults and outside the protected areas. Most elephant carcasses had tusks (75.1%) but a few did not (12.5%). Yearly PIKE values peaked in 2012, the year with the highest poaching levels in Kenya during 1992-2017. MR increased throughout 1992-2017. Temporal variation in elephant mortality probability was significantly influenced by human and livestock population densities, average annual maximum temperature and total annual rainfall and the strength of these influences varied across the seven leading elephant range counties of Kenya. Natural processes are increasingly contributing to elephant mortality likely due to climate change and the associated food and water stress, exacerbated by contracting range. Enhancing anti-poaching and strategies for mitigating climate change impacts and human-elephant conflict and reducing range contraction while sustaining habitat connectivity can help reduce mortality and promote elephant conservation. Strengthening enforcement of international wildlife laws can further reduce illegal trade in tusks and killing of elephants.

As of 2020, some 3,111 homicides were reported to the police in Kenya, increasing from 2,971 in the previous year. The number kept a slow upward trend starting in 2016. Overall, more than 69 thousand reported crimes were registered within the Kenyan police in 2020.

In 2022, nearly 3.42 million cases of malaria were confirmed in Kenya. Although the number of reported infections, including presumed and confirmed cases, declined from over five million in 2019, the disease is still one of the main health issues in the country. Some 219 deaths due to malaria were registered in Kenya as of 2022.

The deadliest state-based conflict in Africa in 2023 was the civil war in Sudan between the Sudanese government and the rebel group Rapid Support Forces (RSF). It is estimated that more than 5,000 people were killed in the conflict that year. By comparison, nearly 3,900 were killed in Somalia, Kenya, and Ethiopia in the conflict between the Government of Somalia and Al-Shabaab. The war in Sudan has seen millions of people displaced, and many face hunger and starvation. Rising terrorism in Africa In recent years, some African states have been suffering from increasing terrorist activity due to a weak state and a poor security apparatus. For instance, Burkina Faso and Mali made up two of the four countries ranked highest on the global terrorism index in 2023, and in the Democratic Republic of the Congo, the number of terrorist attacks rose from less than 200 in 2018 to around 900 in 2021. Many of the state-based conflicts on the continent are between a state and a terrorist organization. Increasing number of coups The poor state infrastructure in some African states has led to a surge in coup d'états on the continent since 2020, especially in Western Africa, where there have been successful coups in Mali, Burkina Faso, Niger, Guinea, and Gabon in recent years. Worldwide, Thailand is the country with the highest number of successful coup d'états since the Second World War.

Recent global malaria burden modeling efforts have produced significantly different estimates, particularly in adult malaria mortality. To measure malaria control progress, accurate malaria burden estimates across age groups are necessary. We determined age-specific malaria mortality rates in western Kenya to compare with recent global estimates. We collected data from 148,000 persons in a health and demographic surveillance system from 2003–2010. Standardized verbal autopsies were conducted for all deaths; probable cause of death was assigned using the InterVA-4 model. Annual malaria mortality rates per 1,000 person-years were generated by age group. Trends were analyzed using Poisson regression. From 2003–2010, in children