The death rate in the Sudan declined to 6.68 deaths per 1,000 inhabitants in 2022. This decrease was preceded by an increase in death rate.The crude death rate is the annual number of deaths divided by the total population, expressed per 1,000 people.Find more statistics on other topics about the Sudan with key insights such as total fertility rate, crude birth rate, and total life expectancy at birth.

In 2022, the death rate in South Sudan decreased by 0.3 deaths per 1,000 inhabitants (-2.71 percent) compared to 2021. This decrease was preceded by an increase in death rate.The crude death rate is the annual number of deaths in a given population, expressed per 1,000 people. When looked at in unison with the crude birth rate, the rate of natural increase can be determined.Find more statistics on other topics about South Sudan with key insights such as total fertility rate, crude birth rate, and total life expectancy at birth.

Chart and table of the Sudan death rate from 1950 to 2025. United Nations projections are also included through the year 2100.

In 2022, the infant mortality rate in South Sudan did not change in comparison to the previous year. The infant mortality rate remained at 63.8 deaths per 1,000 live births. The infant mortality rate is the number of newborns who do not survive past the first 12 months of life. This is generally expressed as a value per 1,000 live births, and also includes neonatal mortality (deaths within the first 28 days of life).Find more statistics on other topics about South Sudan with key insights such as death rate, total fertility rate, and crude birth rate.

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.

Sudan SD: Death Rate: Crude: per 1000 People data was reported at 7.435 Ratio in 2016. This records a decrease from the previous number of 7.522 Ratio for 2015. Sudan SD: Death Rate: Crude: per 1000 People data is updated yearly, averaging 12.259 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 17.551 Ratio in 1960 and a record low of 7.435 Ratio in 2016. Sudan SD: Death Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sudan – Table SD.World Bank: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (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;

Chart and table of the South Sudan infant mortality rate from 1950 to 2025. United Nations projections are also included through the year 2100.

The infant mortality rate in the Sudan declined to 37 deaths per 1,000 live births in 2022. Therefore, the infant mortality rate in the Sudan saw its lowest number in that year with 37 deaths per 1,000 live births. The infant mortality rate refers to the number of newborns not expected to survive past the first year of life. This is generally expressed as a value per 1,000 live births, and infant mortality also includes neonatal mortality (deaths within the first 28 days of life).Find more statistics on other topics about the Sudan with key insights such as crude birth rate, death rate, and total life expectancy at birth.

The statistic shows the adult mortality rate in South Sudan from 2012 to 2022, by gender. According to the source, the adult mortality rate is the probability of dying between the ages of 15 and 60 - that is, the probability of a 15-year-old dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages. In 2022, the mortality rate for women was at 311.5 per 1,000 female adults, while the mortality rate for men was at 373.92 per 1,000 male adults in South Sudan.

This scatter chart displays death rate (per 1,000 people) against GDP (current US$) and is filtered where the country is Sudan. The data is about countries per year.

Sudan SD: UCB Projection: Crude Death Rate: per 1000 Persons data was reported at 4.700 NA in 2050. This stayed constant from the previous number of 4.700 NA for 2049. Sudan SD: UCB Projection: Crude Death Rate: per 1000 Persons data is updated yearly, averaging 7.000 NA from Jun 1983 (Median) to 2050, with 68 observations. The data reached an all-time high of 20.900 NA in 1985 and a record low of 4.700 NA in 2050. Sudan SD: UCB Projection: Crude Death Rate: per 1000 Persons data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Sudan – Table SD.US Census Bureau: Demographic Projection.

This scatter chart displays land area (km²) against death rate (per 1,000 people) and is filtered where the country is South Sudan. The data is about countries per year.

To get a better understanding and assess the severity of the nutrition and mortality situation in Mayendit County, implementing partners conducted a Nutrition and Mortality SMART survey from the 10th to 23rd of December, 2015. The overall survey objective was to determine the nutrition status among children aged 6 to 59 months and to estimate crude and under-five retrospective mortality rates in Mayendit County, Unity State. Data collected included morbidity data (two-week recall), immunization and supplementation coverage, and a qualitative component on Food Security and Livelihoods (FSL).

The crude birth rate in the Sudan decreased by 0.6 live births per 1,000 inhabitants (-1.79 percent) in 2022 in comparison to the previous year. The rate thereby reached its lowest value in recent years. The crude birth rate refers to the number of live births in a given year, expressed per 1,000 population. When studied in combination with the crude death rate, the rate of natural population increase can be determined.Find more statistics on other topics about the Sudan with key insights such as death rate, infant mortality rate, and total life expectancy at birth.

This dataset is about countries in Sudan per year, featuring 4 columns: country, date, death rate, and GDP. The preview is ordered by date (descending).

In 2022, the total life expectancy at birth in South Sudan remained nearly unchanged at around 55.57 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 more statistics on other topics about South Sudan with key insights such as infant mortality rate, death rate, and crude birth rate.

This bar chart displays death rate (per 1,000 people) by country full name using the aggregation average, weighted by population and is filtered where the country is Sudan. The data is about countries per year.

Chart and table of the NE.CON.PRVT.CN death rate from 1950 to 2025. United Nations projections are also included through the year 2100.

Abstract

The Sudan GSHS was a school-based survey of students in grade 8th basic, 1st & 2nd secondary.

The purpose of the GSHS is to provide data on health behaviors and protective factors among students to: - Help countries develop priorities, establish programs, and advocate for resources for school health and youth health programs and policies; - Allow international agencies, countries, and others to make comparisons across countries regarding the prevalence of health behaviors and protective factors; and - Establish trends in the prevalence of health behaviors and protective factors by country for use in evaluation of school health and youth health promotion.

Geographic coverage

National coverage

Analysis unit

Students aged 13-15 years

Kind of data

Sample survey data [ssd]

Sampling procedure

The Sudan GSHS was a school-based survey of students in grade 8th basic, 1st & 2nd secondary. A two-stage cluster sample design was used to produce data representative of all students in grade 8th basic, 1st & 2nd secondary in Sudan. At the first stage, schools were selected with probability proportional to enrollment size. At the second stage, classes were randomly selected and all students in selected classes were eligible to participate. A total of 2211 students participated in the Sudan GSHS.

Mode of data collection

Face-to-face [f2f]

Research instrument

The GSHS uses a standardized scientific sample selection process; common school-based methodology; and core questionnaire modules, core-expanded questions, and country-specific questions that are combined to form a self-administered questionnaire that can be administered during one regular class period.

The 10 core questionnaire modules address the leading causes of morbidity and mortality among children and adults worldwide. - Alcohol use - Dietary behaviors - Drug use - Hygiene - Mental health - Physical activity - Protective factors - Sexual behaviors that contribute to HIV infection, other sexually-transmitted infections, and unintended pregnancy - Tobacco use - Violence and unintentional injury

Cleaning operations

Students self-reported their responses to each question on a computer scannable answer sheet.

Response rate

The school response rate was 84%, the student response rate was 92%, and the overall response rate was 77%.

This scatter chart displays vulnerable employment (% of total employment) against death rate (per 1,000 people) and is filtered where the country is Sudan. The data is about countries per year.