In 2023, the infant mortality rate in deaths per 1,000 live births in Haiti was 40.3. Between 1960 and 2023, the figure dropped by 152.9, though the decline followed an uneven course rather than a steady trajectory.

Haiti HT: Mortality Rate: Under-5: per 1000 Live Births data was reported at 67.000 Ratio in 2016. This records a decrease from the previous number of 68.900 Ratio for 2015. Haiti HT: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 157.300 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 285.900 Ratio in 1960 and a record low of 67.000 Ratio in 2016. Haiti HT: 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 Haiti – Table HT.World Bank: 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.

Mortality rate, infant (per 1,000 live births) in Haiti was reported at 40.3 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Haiti - Mortality rate, infant (per 1,000 live births) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

Haiti HT: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 61.200 Ratio in 2016. This records a decrease from the previous number of 63.100 Ratio for 2015. Haiti HT: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 97.200 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 201.700 Ratio in 2010 and a record low of 61.200 Ratio in 2016. Haiti HT: 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 Haiti – Table HT.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.

Actual value and historical data chart for Haiti Mortality Rate Infant Female Per 1000 Live Births

Time series data for the statistic Mortality rate, infant, female (per 1,000 live births) and country Haiti. Indicator Definition:Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.The indicator "Mortality rate, infant, female (per 1,000 live births)" stands at 35.90 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 -2.97 percent compared to the value the year prior.The 1 year change in percent is -2.97.The 3 year change in percent is -8.18.The 5 year change in percent is -13.08.The 10 year change in percent is -23.45.The Serie's long term average value is 95.06. It's latest available value, on 12/31/2023, is 62.24 percent lower, compared to it's long term average value.The Serie's change in percent 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 percent from it's maximum value, on 12/31/1960, to it's latest available value, on 12/31/2023, is -79.85%.

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

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

The average for 2021 based on 19 countries was 15 deaths per 1000 live births. The highest value was in Haiti: 45 deaths per 1000 live births and the lowest value was in Chile: 6 deaths per 1000 live births. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

The crude birth rate in live births per 1,000 inhabitants in Haiti was 22.2 in 2023. The rate fell by 21.18 from 1960.

Haiti HT: Number of Death: Infant data was reported at 13,998.000 Person in 2017. This records a decrease from the previous number of 14,314.000 Person for 2016. Haiti HT: Number of Death: Infant data is updated yearly, averaging 27,056.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 31,254.000 Person in 1960 and a record low of 13,998.000 Person in 2017. Haiti HT: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Haiti – Table HT.World Bank.WDI: Health Statistics. Number of infants dying before reaching one year of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;

Over the last two observations, the life expectancy has significantly increased in all gender groups As part of the positive trend, the life expectancy reaches the maximum value for the different genders at the end of the comparison period. Particularly noteworthy is the life expectancy of women at birth, which has the highest value of 68.3 years. Life expectancy at birth refers to the number of years the average newborn is expected to live, providing that mortality patterns at the time of birth do not change thereafter.Find further similar statistics for other countries or regions like Nepal and Congo - Brazzaville.

Amid the dismantling of state structures in Haiti, the first Black republic faces significant health disparities compared to its former colonial power, France. These disparities include lower life expectancy (64.8 vs. 82.3 years) and higher infant and maternal mortality rates. The situation is further exacerbated by widespread mental health issues, severe food insecurity (50% acute vs. 37% moderate), and elevated homicide rates (13.35 vs. 1.35 per 100,000 inhabitants). As calls grow for France to return the independence ransoms extracted from Haiti, there remains limited data on how reparations could impact the country’s public health, community well-being, or effective implementation of healing programs. Between Spring and Fall 2023, we conducted 4 focus groups: 1st with Haitian men and women residing in the United States, a 2nd-with men in Haiti, a 3rd with women in Cap-Haïtien and Les Cayes, and a 4th with women in Cité Soleil. We conducted focus groups structured interview protocol, comprised of open-ended questions categorized into 4 thematic sections. These questions provided insights into participants’ perceptions on mental health, the daily challenges and barriers to access care, and community-based healing. Participants emphasized need for policies that address the social determinants of health, ensure safety and justice, and promote healthier workplace environments. They also advocated for mental health education aimed at reducing stigma, cultivating trust, and strengthening community support systems; with an emphasis on developing professional training, ethics, and sustainable long-term mental health services accessible for individuals of all ages. Haitian participants underscore the critical need to restore security, address the social determinants of health, and implement community-based mental health initiatives. We propose a biopsychosocial-ecological approach to guide reparations efforts. A targeted investment of $30 billion could yield substantial improvements in healthcare, mental health services, and public safety—contributing to increased life expectancy, reduced mortality rates, and decreased violence.

Graph and download economic data for Life Expectancy at Birth, Total for Haiti (SPDYNLE00INHTI) from 1960 to 2023 about Haiti, life expectancy, life, and birth.

This scatter chart displays death rate (per 1,000 people) against birth rate (per 1,000 people) in Haiti. The data is filtered where the date is 2021. The data is about countries per year.

Historical dataset showing Haiti birth rate by year from 1950 to 2025.

Overview of health disparities between Haiti and France in 2024 and projected health improvements in haiti through reparations-based investments.

The total life expectancy at birth in Haiti stood at 64.94 years in 2023. Between 1960 and 2023, the life expectancy at birth rose by 21.5 years, though the increase followed an uneven trajectory rather than a consistent upward trend.

This dataset is about countries per year in Haiti. It has 1 row and is filtered where the date is 2021. It features 4 columns: country, birth rate, and death rate.

Goal 3Ensure healthy lives and promote well-being for all at all agesTarget 3.1: By 2030, reduce the global maternal mortality ratio to less than 70 per 100,000 live birthsIndicator 3.1.1: Maternal mortality ratioSH_STA_MORT: Maternal mortality ratioIndicator 3.1.2: Proportion of births attended by skilled health personnelSH_STA_BRTC: Proportion of births attended by skilled health personnel (%)Target 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsIndicator 3.2.1: Under-5 mortality rateSH_DYN_IMRTN: Infant deaths (number)SH_DYN_MORT: Under-five mortality rate, by sex (deaths per 1,000 live births)SH_DYN_IMRT: Infant mortality rate (deaths per 1,000 live births)SH_DYN_MORTN: Under-five deaths (number)Indicator 3.2.2: Neonatal mortality rateSH_DYN_NMRTN: Neonatal deaths (number)SH_DYN_NMRT: Neonatal mortality rate (deaths per 1,000 live births)Target 3.3: By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseasesIndicator 3.3.1: Number of new HIV infections per 1,000 uninfected population, by sex, age and key populationsSH_HIV_INCD: Number of new HIV infections per 1,000 uninfected population, by sex and age (per 1,000 uninfected population)Indicator 3.3.2: Tuberculosis incidence per 100,000 populationSH_TBS_INCD: Tuberculosis incidence (per 100,000 population)Indicator 3.3.3: Malaria incidence per 1,000 populationSH_STA_MALR: Malaria incidence per 1,000 population at risk (per 1,000 population)Indicator 3.3.4: Hepatitis B incidence per 100,000 populationSH_HAP_HBSAG: Prevalence of hepatitis B surface antigen (HBsAg) (%)Indicator 3.3.5: Number of people requiring interventions against neglected tropical diseasesSH_TRP_INTVN: Number of people requiring interventions against neglected tropical diseases (number)Target 3.4: By 2030, reduce by one third premature mortality from non-communicable diseases through prevention and treatment and promote mental health and well-beingIndicator 3.4.1: Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory diseaseSH_DTH_NCOM: Mortality rate attributed to cardiovascular disease, cancer, diabetes or chronic respiratory disease (probability)SH_DTH_NCD: Number of deaths attributed to non-communicable diseases, by type of disease and sex (number)Indicator 3.4.2: Suicide mortality rateSH_STA_SCIDE: Suicide mortality rate, by sex (deaths per 100,000 population)SH_STA_SCIDEN: Number of deaths attributed to suicide, by sex (number)Target 3.5: Strengthen the prevention and treatment of substance abuse, including narcotic drug abuse and harmful use of alcoholIndicator 3.5.1: Coverage of treatment interventions (pharmacological, psychosocial and rehabilitation and aftercare services) for substance use disordersSH_SUD_ALCOL: Alcohol use disorders, 12-month prevalence (%)SH_SUD_TREAT: Coverage of treatment interventions (pharmacological, psychosocial and rehabilitation and aftercare services) for substance use disorders (%)Indicator 3.5.2: Alcohol per capita consumption (aged 15 years and older) within a calendar year in litres of pure alcoholSH_ALC_CONSPT: Alcohol consumption per capita (aged 15 years and older) within a calendar year (litres of pure alcohol)Target 3.6: By 2020, halve the number of global deaths and injuries from road traffic accidentsIndicator 3.6.1: Death rate due to road traffic injuriesSH_STA_TRAF: Death rate due to road traffic injuries, by sex (per 100,000 population)Target 3.7: By 2030, ensure universal access to sexual and reproductive health-care services, including for family planning, information and education, and the integration of reproductive health into national strategies and programmesIndicator 3.7.1: Proportion of women of reproductive age (aged 15–49 years) who have their need for family planning satisfied with modern methodsSH_FPL_MTMM: Proportion of women of reproductive age (aged 15-49 years) who have their need for family planning satisfied with modern methods (% of women aged 15-49 years)Indicator 3.7.2: Adolescent birth rate (aged 10–14 years; aged 15–19 years) per 1,000 women in that age groupSP_DYN_ADKL: Adolescent birth rate (per 1,000 women aged 15-19 years)Target 3.8: Achieve universal health coverage, including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines and vaccines for allIndicator 3.8.1: Coverage of essential health servicesSH_ACS_UNHC: Universal health coverage (UHC) service coverage indexIndicator 3.8.2: Proportion of population with large household expenditures on health as a share of total household expenditure or incomeSH_XPD_EARN25: Proportion of population with large household expenditures on health (greater than 25%) as a share of total household expenditure or income (%)SH_XPD_EARN10: Proportion of population with large household expenditures on health (greater than 10%) as a share of total household expenditure or income (%)Target 3.9: By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contaminationIndicator 3.9.1: Mortality rate attributed to household and ambient air pollutionSH_HAP_ASMORT: Age-standardized mortality rate attributed to household air pollution (deaths per 100,000 population)SH_STA_AIRP: Crude death rate attributed to household and ambient air pollution (deaths per 100,000 population)SH_STA_ASAIRP: Age-standardized mortality rate attributed to household and ambient air pollution (deaths per 100,000 population)SH_AAP_MORT: Crude death rate attributed to ambient air pollution (deaths per 100,000 population)SH_AAP_ASMORT: Age-standardized mortality rate attributed to ambient air pollution (deaths per 100,000 population)SH_HAP_MORT: Crude death rate attributed to household air pollution (deaths per 100,000 population)Indicator 3.9.2: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)SH_STA_WASH: Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)Indicator 3.9.3: Mortality rate attributed to unintentional poisoningSH_STA_POISN: Mortality rate attributed to unintentional poisonings, by sex (deaths per 100,000 population)Target 3.a: Strengthen the implementation of the World Health Organization Framework Convention on Tobacco Control in all countries, as appropriateIndicator 3.a.1: Age-standardized prevalence of current tobacco use among persons aged 15 years and olderSH_PRV_SMOK: Age-standardized prevalence of current tobacco use among persons aged 15 years and older, by sex (%)Target 3.b: Support the research and development of vaccines and medicines for the communicable and non-communicable diseases that primarily affect developing countries, provide access to affordable essential medicines and vaccines, in accordance with the Doha Declaration on the TRIPS Agreement and Public Health, which affirms the right of developing countries to use to the full the provisions in the Agreement on Trade-Related Aspects of Intellectual Property Rights regarding flexibilities to protect public health, and, in particular, provide access to medicines for allIndicator 3.b.1: Proportion of the target population covered by all vaccines included in their national programmeSH_ACS_DTP3: Proportion of the target population with access to 3 doses of diphtheria-tetanus-pertussis (DTP3) (%)SH_ACS_MCV2: Proportion of the target population with access to measles-containing-vaccine second-dose (MCV2) (%)SH_ACS_PCV3: Proportion of the target population with access to pneumococcal conjugate 3rd dose (PCV3) (%)SH_ACS_HPV: Proportion of the target population with access to affordable medicines and vaccines on a sustainable basis, human papillomavirus (HPV) (%)Indicator 3.b.2: Total net official development assistance to medical research and basic health sectorsDC_TOF_HLTHNT: Total official development assistance to medical research and basic heath sectors, net disbursement, by recipient countries (millions of constant 2018 United States dollars)DC_TOF_HLTHL: Total official development assistance to medical research and basic heath sectors, gross disbursement, by recipient countries (millions of constant 2018 United States dollars)Indicator 3.b.3: Proportion of health facilities that have a core set of relevant essential medicines available and affordable on a sustainable basisSH_HLF_EMED: Proportion of health facilities that have a core set of relevant essential medicines available and affordable on a sustainable basis (%)Target 3.c: Substantially increase health financing and the recruitment, development, training and retention of the health workforce in developing countries, especially in least developed countries and small island developing StatesIndicator 3.c.1: Health worker density and distributionSH_MED_DEN: Health worker density, by type of occupation (per 10,000 population)SH_MED_HWRKDIS: Health worker distribution, by sex and type of occupation (%)Target 3.d: Strengthen the capacity of all countries, in particular developing countries, for early warning, risk reduction and management of national and global health risksIndicator 3.d.1: International Health Regulations (IHR) capacity and health emergency preparednessSH_IHR_CAPS: International Health Regulations (IHR) capacity, by type of IHR capacity (%)Indicator 3.d.2: Percentage of bloodstream infections due to selected antimicrobial-resistant organismsiSH_BLD_MRSA: Percentage of bloodstream infection due to methicillin-resistant Staphylococcus aureus (MRSA) among patients seeking care and whose