In 2024, Myanmar had the highest crude death rate among the Southeast Asian countries, with *** deaths per thousand population. That year, Singapore had the lowest crude death rate, with *** deaths per thousand population.Factors that influence the death rateThe death rate, also called mortality rate, is generally influenced by various factors such as the social environment, diseases, health facilities and services as well as the food supply of the respective countries. Myanmar’s government spent five percent of its public budget on health in 2016. In 2020, health expenditure per capita in Myanmar amounted to around ** U.S. dollars. The Maldives had the lowest crude death rate in the Asia-Pacific region in 2024. There, health expenditure accounted for ***** percent of the country’s GDP. Furthermore, the share of undernourished people was at around ***** percent in Myanmar in 2020. Within Southeast Asia, Myanmar has also been one of the poorest countries. In 2020, the country’s GDP per capita was estimated at **** thousand U.S. dollars, the lowest across the Asia-Pacific region.

CN: Population: Death Rate: Shaanxi data was reported at 0.764 % in 2022. This records an increase from the previous number of 0.738 % for 2021. CN: Population: Death Rate: Shaanxi data is updated yearly, averaging 0.631 % from Dec 1990 (Median) to 2022, with 32 observations. The data reached an all-time high of 0.764 % in 2022 and a record low of 0.601 % in 2010. CN: Population: Death Rate: Shaanxi data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Death Rate: By Region.

CN: Population: Death Rate: Jiangxi data was reported at 0.723 % in 2024. This records a decrease from the previous number of 0.736 % for 2023. CN: Population: Death Rate: Jiangxi data is updated yearly, averaging 0.624 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 0.754 % in 1990 and a record low of 0.596 % in 2005. CN: Population: Death Rate: Jiangxi data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Death Rate: By Region.

In 2024, the Italian region with the highest death rate was Liguria. By contrast, Trentino-South Tyrol was the area where the lowest death rate was registered in the whole country. In the period between 2010 and 2019, the annual death rate in Italy remained rather stable. In 2020, instead, the death rate increased compared to previous years. Coronavirus deaths In Italy, the first cases of coronavirus (COVID-19) were registered at the end of January 2020. Then, since the end of February, the virus started to spread among the Italian population. As of October 2021, Italy recorded 4.7 million cases of coronavirus (COVID-19) and over 130,000 deaths. Death rates in other European countries In 2019, Italy was the European country which registered the second-highest number of deaths. The state with the highest number of deceased was Germany, which is also the most populous country on the continent. On the contrary, Italy ranked only fourth, considering the size of the population.

CN: Population: Death Rate: Tibet data was reported at 0.576 % in 2023. This records an increase from the previous number of 0.548 % for 2022. CN: Population: Death Rate: Tibet data is updated yearly, averaging 0.573 % from Dec 1990 (Median) to 2023, with 34 observations. The data reached an all-time high of 0.880 % in 1995 and a record low of 0.446 % in 2019. CN: Population: Death Rate: Tibet data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Death Rate: By Region.

Annual data on death registrations by area of usual residence in the UK. Summary tables including age-standardised mortality rates.

In 2023, the crude death rate in Africa was *** deaths per 1,000 people. Significant variations were observed between the continent's regions. Specifically, Western Africa registered the highest crude death rate, counting almost ** deaths per 1,000 inhabitants, while the lowest levels of mortality were recorded in Northern Africa.

This bar chart displays death rate (per 1,000 people) by regions using the aggregation average, weighted by population. The data is about regions.

CN: Population: Death Rate: Guangdong data was reported at 0.520 % in 2024. This records a decrease from the previous number of 0.536 % for 2023. CN: Population: Death Rate: Guangdong data is updated yearly, averaging 0.497 % from Dec 1990 (Median) to 2024, with 35 observations. The data reached an all-time high of 0.617 % in 1992 and a record low of 0.421 % in 2010. CN: Population: Death Rate: Guangdong data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: Death Rate: By Region.

Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.

Footnotes: 1 Sources: Statistics Canada, Canadian Vital Statistics, Death Database and Demography Division (population estimates). The table 13-10-0743-01 is an update of table 13-10-0412-01. This is because of the adoption of the 2015 version of the Health Region Geography. For more information, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)." 2 Mortality is the death rate, which can be measured as total mortality (all causes of death combined) or by selected cause of death. All counts and rates are calculated using the total population (all age groups). 3 Potential years of life lost (PYLL) is the number of years of potential life not lived when a person dies prematurely" defined for this indicator as before age 75. All counts and rates in this table are calculated using the population aged 0 to 74." 4 Counts and rates in this table are based on three consecutive years of death data. Rates are per 100,000 population and were calculated by dividing the counts by three consecutive years of population data. 5 Rates are age-standardized using the direct method and the 2011 Canadian Census population structure. The use of a standard population results in more meaningful rate comparisons because it adjusts for variations in population age distributions over time and across geographic areas. 6 Counts and rates in this table exclude: deaths of non-residents of Canada; deaths of residents of Canada whose province or territory of residence was unknown; deaths for which age of decedent was unknown. 7 Rates in this table are based on place of residence for indicators derived from death events. 8 The number of deaths in Ontario for 2016 is considered preliminary. 9 Health regions are administrative areas defined by provincial ministries of health according to provincial legislation. The health regions presented in this table are based on boundaries and names in effect as of December 2017. For complete Canadian coverage, each northern territory represents a health region. 10 Peer groups are aggregations of health regions that share similar socio-economic and demographic characteristics, based on data from the 2011 Census of Population and 2011 National Household Survey. These are useful in the analysis of health regions, where important differences may be detected by comparing health regions within a peer group. The nine peer groups are identified by the letters A through I, which are appended to the health region 4-digit code. Caution should be taken when comparing data for the Peer Groups over time due to changes in the Peer Groups. In an analysis involving the peer groups, only one level of geography in Ontario should be used. For more information on the peer groups classification, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)." 11 Before 2010, missing data on sex of the deceased were imputed based on death registration number. Starting with 2010 data year, missing data on sex of the deceased were imputed based on the cause of death information and a logistic regression. 12 The cause of death tabulated is the underlying cause of death. This is defined as (a) the disease or injury which initiated the train of events leading directly to death, or (b) the circumstances of the accident or violence which produced the fatal injury. The underlying cause is selected from the conditions listed on the medical certificate of cause of death. 13 Confidence intervals for age-standardized rates for selected causes of death data were produced using the Spiegelman method. Source: Spiegelman, M., Introduction to Demography" Revised Edition Cambridge14 Confidence intervals for crude rates for selected causes of death data were produced using the Fleiss method. Source: Fleiss, JL., Statistical Methods for Rates and Proportions" Second Edition New York15 The 95% confidence interval (CI) illustrates the degree of variability associated with a number or a rate. 16 Wide confidence intervals (CIs) indicate high variability, thus, these numbers or rates should be interpreted and compared with due caution. 17 The following standard symbols are used in this Statistics Canada table: (..) for figures not available for a specific reference period, (...) for figures not applicable and (x) for figures suppressed to meet the confidentiality requirements of the Statistics Act. 18 The figures shown in the tables have been subjected to a confidentiality procedure known as controlled rounding to prevent the possibility of associating statistical data with any identifiable individual. Under this method, all figures, including totals and margins, are rounded either up or down to a multiple of 5. Controlled rounding has the advantage over other types of rounding of producing additive tables as well as offering more protection. 19 Premature deaths are those of individuals who are younger than age 75.

Causes of death by NUTS 2 region - crude death rate

Footnotes: 1 Sources: Statistics Canada, Canadian Vital Statistics, Death Database and Demography Division (population estimates). The table 13-10-0743-01 is an update of table 13-10-0412-01. This is because of the adoption of the 2015 version of the Health Region Geography. For more information, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)." 2 Mortality is the death rate, which can be measured as total mortality (all causes of death combined) or by selected cause of death. All counts and rates are calculated using the total population (all age groups). 3 Potential years of life lost (PYLL) is the number of years of potential life not lived when a person dies prematurely" defined for this indicator as before age 75. All counts and rates in this table are calculated using the population aged 0 to 74."4 Counts and rates in this table are based on three consecutive years of death data. Rates are per 100,000 population and were calculated by dividing the counts by three consecutive years of population data. 5 Rates are age-standardized using the direct method and the 2011 Canadian Census population structure. The use of a standard population results in more meaningful rate comparisons because it adjusts for variations in population age distributions over time and across geographic areas. 6 Counts and rates in this table exclude: deaths of non-residents of Canada; deaths of residents of Canada whose province or territory of residence was unknown; deaths for which age of decedent was unknown. 7 Rates in this table are based on place of residence for indicators derived from death events. 8 The number of deaths in Ontario for 2016 is considered preliminary. 9 Health regions are administrative areas defined by provincial ministries of health according to provincial legislation. The health regions presented in this table are based on boundaries and names in effect as of December 2017. For complete Canadian coverage, each northern territory represents a health region. 10 Peer groups are aggregations of health regions that share similar socio-economic and demographic characteristics, based on data from the 2011 Census of Population and 2011 National Household Survey. These are useful in the analysis of health regions, where important differences may be detected by comparing health regions within a peer group. The nine peer groups are identified by the letters A through I, which are appended to the health region 4-digit code. Caution should be taken when comparing data for the Peer Groups over time due to changes in the Peer Groups. In an analysis involving the peer groups, only one level of geography in Ontario should be used. For more information on the peer groups classification, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)." 11 Before 2010, missing data on sex of the deceased were imputed based on death registration number. Starting with 2010 data year, missing data on sex of the deceased were imputed based on the cause of death information and a logistic regression. 12 The cause of death tabulated is the underlying cause of death. This is defined as (a) the disease or injury which initiated the train of events leading directly to death, or (b) the circumstances of the accident or violence which produced the fatal injury. The underlying cause is selected from the conditions listed on the medical certificate of cause of death. 13 Confidence intervals for age-standardized rates for selected causes of death data were produced using the Spiegelman method. Source: Spiegelman, M., Introduction to Demography" Revised Edition14 Confidence intervals for crude rates for selected causes of death data were produced using the Fleiss method. Source: Fleiss, JL., Statistical Methods for Rates and Proportions" Second Edition15 The 95% confidence interval (CI) illustrates the degree of variability associated with a number or a rate. 16 Wide confidence intervals (CIs) indicate high variability, thus, these numbers or rates should be interpreted and compared with due caution. 17 The following standard symbols are used in this Statistics Canada table: (..) for figures not available for a specific reference period, (...) for figures not applicable and (x) for figures suppressed to meet the confidentiality requirements of the Statistics Act. 18 The figures shown in the tables have been subjected to a confidentiality procedure known as controlled rounding to prevent the possibility of associating statistical data with any identifiable individual. Under this method, all figures, including totals and margins, are rounded either up or down to a multiple of 5. Controlled rounding has the advantage over other types of rounding of producing additive tables as well as offering more protection. 19 Premature deaths are those of individuals who are younger than age 75.

Rate of deaths by age/gender (per 100,000 population) for people killed in crashes involving a driver with BAC =>0.08%, 2012, 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File. Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.

This scatter chart displays female population (people) against death rate (per 1,000 people). The data is about regions.

Rate of deaths by age/gender (per 100,000 population) for motor vehicle occupants killed in crashes, 2012 & 2014. 2012 Source: Fatality Analysis Reporting System (FARS). 2014 Source: National Highway Traffic Safety Administration's (NHTSA) Fatality Analysis Reporting System (FARS), 2014 Annual Report File Note: Blank cells indicate data are suppressed. Fatality rates based on fewer than 20 deaths are suppressed.

In 2021, the region of Africa had the highest child mortality rate worldwide, with some 72 deaths per one thousand live births. This statistic depicts the child mortality worldwide among children under five years of age in 2021, by region and per 1,000 live births.

1. Database contents The Russian Short-Term Mortality Fluctuations database (RusSTMF) contains a series of standardized and crude death rates for men, women and both sexes for Russia as a whole and its regions for the period from 2000 to 2021. All the output indicators presented in the database are calculated based on data of deaths registered by the Vital Registry Office. The weekly death counts are calculated based on depersonalized individual data provided by the Russian Federal State Statistics Service (Rosstat) at the request of the HSE. Time coverage: 03.01.2000 (Week 1) – 31.12.2021 (Week 1148)
2. A brief description of the input data on deaths Date of death: date of occurrence Unit of time: week First and last days of the week: Monday – Sunday First and last week of the year: The weeks are organized according to ISO 8601:2004 guidelines. Each week of the year, including the first and last, contains 7 days. In order to get 7-day weeks, the days of previous years are included in this first week (if January 1 fell on Tuesday, Wednesday or Thursday) or in the last calendar week (if December 31 fell on Thursday, Friday or Saturday). Age groups: the entire population Sex: men, women, both sexes (men and women combined) Restrictions and data changes: data on deaths in the Pskov region were excluded for weeks 9-13 of 2012 Note: Deaths with an unknown date of occurrence (unknown year, month, or day) account for about 0.3% of all deaths and are excluded from the calculation of week-age-specific and standardized death rates.
3. Description of the week-specific mortality rates data file Week-specific standardized death rates for Russia as a whole and its regions are contained in a single data file presented in .csv format. The format of data allows its uploading into any system for statistical analysis. Each record (row) in the data file contains data for one calendar year, one week, one territory, one sex. The decimal point is dot (.) The first element of the row is the territory code ("PopCode" column), the second element is the year ("Year" column), the third element ("Week" column) is the week of the year, the fourth element ("Sex" column) is sex (F – female, M – male, B – both sexes combined). This is followed by a column "CDR" with the value of the crude death rate and "SDR" with the value of the standardized death rate. If the indicator cannot be calculated for some combination of year, sex, and territory, then the corresponding meaningful data elements in the data file are replaced with ".".

Footnotes: 1 Sources: Statistics Canada, Canadian Vital Statistics, Death Database and Demography Division (population estimates). The table 13-10-0743-01 is an update of table 13-10-0412-01. This is because of the adoption of the 2015 version of the Health Region Geography. For more information, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)." 2 Mortality is the death rate, which can be measured as total mortality (all causes of death combined) or by selected cause of death. All counts and rates are calculated using the total population (all age groups). 3 Potential years of life lost (PYLL) is the number of years of potential life not lived when a person dies prematurely" defined for this indicator as before age 75. All counts and rates in this table are calculated using the population aged 0 to 74." 4 Counts and rates in this table are based on three consecutive years of death data. Rates are per 100,000 population and were calculated by dividing the counts by three consecutive years of population data. 5 Rates are age-standardized using the direct method and the 2011 Canadian Census population structure. The use of a standard population results in more meaningful rate comparisons because it adjusts for variations in population age distributions over time and across geographic areas. 6 Counts and rates in this table exclude: deaths of non-residents of Canada; deaths of residents of Canada whose province or territory of residence was unknown; deaths for which age of decedent was unknown. 7 Rates in this table are based on place of residence for indicators derived from death events. 8 The number of deaths in Ontario for 2016 is considered preliminary. 9 Health regions are administrative areas defined by provincial ministries of health according to provincial legislation. The health regions presented in this table are based on boundaries and names in effect as of December 2017. For complete Canadian coverage, each northern territory represents a health region. 10 Peer groups are aggregations of health regions that share similar socio-economic and demographic characteristics, based on data from the 2011 Census of Population and 2011 National Household Survey. These are useful in the analysis of health regions, where important differences may be detected by comparing health regions within a peer group. The nine peer groups are identified by the letters A through I, which are appended to the health region 4-digit code. Caution should be taken when comparing data for the Peer Groups over time due to changes in the Peer Groups. In an analysis involving the peer groups, only one level of geography in Ontario should be used. For more information on the peer groups classification, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)." 11 Before 2010, missing data on sex of the deceased were imputed based on death registration number. Starting with 2010 data year, missing data on sex of the deceased were imputed based on the cause of death information and a logistic regression. 12 The cause of death tabulated is the underlying cause of death. This is defined as (a) the disease or injury which initiated the train of events leading directly to death, or (b) the circumstances of the accident or violence which produced the fatal injury. The underlying cause is selected from the conditions listed on the medical certificate of cause of death. 13 Confidence intervals for age-standardized rates for selected causes of death data were produced using the Spiegelman method. Source: Spiegelman, M., Introduction to Demography" Revised Edition Cambridge14 Confidence intervals for crude rates for selected causes of death data were produced using the Fleiss method. Source: Fleiss, JL., Statistical Methods for Rates and Proportions" Second Edition New York15 The 95% confidence interval (CI) illustrates the degree of variability associated with a number or a rate. 16 Wide confidence intervals (CIs) indicate high variability, thus, these numbers or rates should be interpreted and compared with due caution. 17 The following standard symbols are used in this Statistics Canada table: (..) for figures not available for a specific reference period, (...) for figures not applicable and (x) for figures suppressed to meet the confidentiality requirements of the Statistics Act. 18 The figures shown in the tables have been subjected to a confidentiality procedure known as controlled rounding to prevent the possibility of associating statistical data with any identifiable individual. Under this method, all figures, including totals and margins, are rounded either up or down to a multiple of 5. Controlled rounding has the advantage over other types of rounding of producing additive tables as well as offering more protection. 19 Premature deaths are those of individuals who are younger than age 75.

Number of deaths and age-specific mortality rates for selected grouped causes, by age group and sex, 2000 to most recent year.