Period and cohort mortality rates (qx) for Scotland using the principal projection by single year of age 0 to 100.

Period and Cohort Mortality rates (qx) for Scotland using the low life expectancy variant by single year of age 0 to 100.

Standardised mortality ratios for deaths from all causes and from eight causes in Glasgow from 2000 to 2012 . The Glasgow ratios are a percentage of the numbers dead in Glasgow from that cause that would be expected for Glasgow City if it had the same age/sex-specific death rates as Scotland as a whole. The eight causes are: all cancers; Stomach Cancer; Large Intestine cancer; Trachea, Bronchus, Lung cancer; Female breast cancer; Ischaemic Heart Disease; CerebroVascular and Pneumonia. They were calculated using the 'rebased' mid-year population estimates for 2002 to 2011- see Births and Deaths Rates: breaks in series circa 2011 Data extracted 2014-04-09 from the General Register Office for Scotland Licence: None

In 2022, the mortality rate of coronary heart disease in Scotland for men was 163.5 per 100,000 population and for women was 98.3 per 100,000 population. The mortality rate for heart disease has generally decreased since 2008 for both men and women. This statistic depicts the crude mortality rate of coronary heart disease in Scotland from 2008 to 2022, by gender (per 100,000 population).

National Records of Scotland Guidance;What is ‘period’ life expectancyAll of the estimates presented in this report are ‘period’ life expectancy. They are calculated assuming that mortality rates for each age group in the time period (here 2021-2023) are constant throughout a person’s life. Period life expectancy is often described as how long a baby born now could expect to live if they experienced today’s mortality rates throughout their lifetime. It is very unlikely that this would be the case as it means that future changes in things such as medicine and legislation are not taken into consideration.Period life expectancy is not an accurate prediction of how long a person born today will actually live, but it is a useful measure of population health at a point in time and is most useful for comparing trends over time, between areas of a country and with other countries.How national life expectancy is calculatedThe latest life expectancy figures are calculated from the mid-year population estimates for Scotland and the number of deaths registered in Scotland during 2021, 2022, and 2023. Life expectancy for Scotland is calculated for each year of age and represents the average number of years that someone of that age could expect to live if death rates for each age group remained constant over their lifetime. Life expectancy in Scotland is calculated as a three-year average, produced by combining deaths and population data for the three-year period. Three years of data are needed to provide large enough numbers to make these figures accurate and lessen the effect of very ‘good’ or ‘bad’ years. Throughout this publication, the latest life expectancy figures refer to 2021-2023 period. How sub-national life expectancy is calculatedWe calculate life expectancy for areas within Scotland using a very similar method to the national figures but with a few key differences. Firstly, we use age groups rather than single year of age. This is to increase the population size of each age group to reduce fluctuations and ensure accurate calculation of mortality rates. Secondly, we use a maximum age group of 90+ whereas the national figures are calculated up to age 100. These are known as ‘abridged life tables.’ Because these methods produce slightly different figures, we also calculate a Scotland figure using the abridged method to allow for accurate comparisons between local areas for example. This Scotland figure is only for comparison and does not replace the headline national figure. You can read more information about the methods in this publication in our methodology guide on the NRS website. Uses of life expectancyLife expectancy at birth is a very useful indicator of mortality conditions across a population at a particular point in time. It also provides an objective means of comparing trends in mortality over time, between areas of a country and with other countries. This is used to monitor and investigate health inequalities and to set public health targets. Life expectancy is also used to inform pensions policy, research and teaching.

This dataset includes information about Information Services Division (ISD) of National Services Scotland provided information on the mortality rates of surgeries in Scotland from 2007 to 2012 in response to a freedom of information request.

This statistic presents the alcohol-specific death rate in Scotland from 2001 to 2022, by gender. In general, males experienced a decrease in alcohol-specific deaths over the provided time interval. In 2022, the mortality rate due to alcohol use among men was **** per 100,000 and **** per 100,000 for women.

Correction 20 January 2023 - An error was found in the population data used to calculate 2021 rates in this publication. This has been corrected, with the overall Scotland avoidable mortality rate for 2021 changing from 350 deaths per 100,000 population to 347 deaths per 100,000. There were minor changes also to council and health board rates, but not for rates by SIMD which used a different population file.

Objective Gains in life expectancy have faltered in several high-income countries in recent years. We aim to compare life expectancy trends in Scotland to those seen internationally, and to assess the timing of any recent changes in mortality trends for Scotland. Setting Austria, Croatia, Czech Republic, Denmark, England & Wales, Estonia, France, Germany, Hungary, Iceland, Israel, Japan, Korea, Latvia, Lithuania, Netherlands, Northern Ireland, Poland, Scotland, Slovakia, Spain, Sweden, Switzerland, USA. Methods We used life expectancy data from the Human Mortality Database (HMD) to calculate the mean annual life expectancy change for 24 high-income countries over five-year periods from 1992 to 2016, and the change for Scotland for five-year periods from 1857 to 2016. One- and two-break segmented regression models were applied to mortality data from National Records of Scotland (NRS) to identify turning points in age-standardised mortality trends between 1990 and 2018. Results In 2012-2016 life expectancies in Scotland increased by 2.5 weeks/year for females and 4.5 weeks/year for males, the smallest gains of any period since the early 1970s. The improvements in life expectancy in 2012-2016 were smallest among females (<2.0 weeks/year) in Northern Ireland, Iceland, England & Wales and the USA and among males (<5.0 weeks/year) in Iceland, USA, England & Wales and Scotland. Japan, Korea, and countries of Eastern Europe have seen substantial gains in the same period. The best estimate of when mortality rates changed to a slower rate of improvement in Scotland was the year to 2012 Q4 for males and the year to 2014 Q2 for females. Conclusion Life expectancy improvement has stalled across many, but not all, high income countries. The recent change in the mortality trend in Scotland occurred within the period 2012-2014. Further research is required to understand these trends, but governments must also take timely action on plausible contributors. Description of methods used for collection/generation of data: The HMD has a detailed methods protocol available here: https://www.mortality.org/Public/Docs/MethodsProtocol.pdf The ONS and NRS also have similar methods for ensuring data consistency and quality assurance. Methods for processing the data: The segmented regression was conducted using the 'segmented' package in R. The recommended references to this package and its approach are here: Vito M. R. Muggeo (2003). Estimating regression models with unknown break-points. Statistics in Medicine, 22, 3055-3071. Vito M. R. Muggeo (2008). segmented: an R Package to Fit Regression Models with Broken-Line Relationships. R News, 8/1, 20-25. URL https://cran.r-project.org/doc/Rnews/. Vito M. R. Muggeo (2016). Testing with a nuisance parameter present only under the alternative: a score-based approach with application to segmented modelling. J of Statistical Computation and Simulation, 86, 3059-3067. Vito M. R. Muggeo (2017). Interval estimation for the breakpoint in segmented regression: a smoothed score-based approach. Australian & New Zealand Journal of Statistics, 59, 311-322. Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: The analyses were conducted in R version 3.6.1 and Microsoft Excel 2013. Please see README.txt for further information HMD international_updated Jan 2019.xlsx Comprises 20 worksheets, of which 14 contain data. These data are arranged by country and by year. Missing data codes: "" The tab 'contents and sources' provides descriptions of the data source and contents of each sheet. HMD Scotland time trend analysis.xlsx Comprises 5 worksheets, including a combination of data and charts. The sheet 'contents' describes the data source and contents of other sheets. The variables include year, life expectancy, and various measures of change in life expectancy Missing data codes: "" Segmented regression chart.xlsx Comprises 2 worksheets, 'Data' and 'Chart'. Variables within the 'data' worksheet include: Year 4 quarter rolling period ending Female observed mortality rate Female predicted by one-break model Female predicted by two-break model Male observed mortality rate Male predicted by one-break model Male predicted by two-break model Chart breakpoint indicator Missing data codes: (blank space) Summary findings from segmented regression.xlsx Excel workbook containing table 1 of paper 'summary of results of segmented regression by population group and model/test'

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

Death rates for all causes (per 100,000 population) for Glasgow City and Scotland for males, females and all persons for all ages or under 75 years. The rates are age-standardised using the 1976 European Standard Population (ESP1976), in order to show trends in mortality after taking account of changes in the distribution by age of the Scottish population. See Age-standardised death rates using the European Standard Population for explanation of the difference in age-standardised death rates when 1976 ESP is used compared to those calculated using the age of the population of Scotland. Data extracted 2014-04-08 from the General Register Office for Scotland Licence: None

In 2023, the crude mortality rate of subarachnoid hemorrhage in Scotland for men was 2.9 per 100,000 population and the rate for women was 3.7 deaths per 100,000 population. This statistic displays the mortality rate of subarachnoid hemorrhage per 100,000 population in Scotland, from 2004 to 2023, by gender.

In 2022, the crude mortality rate of cerebrovascular disease in Scotland for men was 61.3 per 100,000 population and the rate for women was 79.7 per 100,000 population. In general, the mortality rate from cerebrovascular disease has declined over the period observed. This statistic displays the mortality rate of cerebrovascular disease per 100,000 population in Scotland from 2004 to 2022, by gender.

In 2022, the mortality rate of heart disease in the most deprived quintile was 163.6 per 100,000 population, while the mortality rate in the least deprived was only 88.8 per 100,000 population. This statistic displays the mortality rate of heart disease per 100,000 population in Scotland from 2004 to 2022, by deprivation quintile.

Death rates for all causes (per 1,000 population) for Glasgow and Scotland from 1991 to 2012. The Glasgow death rates are given for the crude death rate or as standardised using the age/sex- specific rates for Scotland. They were calculated using the 'rebased' mid-year population estimates for 2002 to 2011. More information about this is available from Births and Deaths Rates: breaks in series circa 2011 Data extracted 2014-04-09 from the General Register Office for Scotland Licence: None

In 2022, the crude mortality rate of strokes in Scotland for men was 33.4 per 100,000 population and the rate for women was 45 per 100,000 population. This statistic displays the mortality rate of stroke per 100,000 population in Scotland, from 2004 to 2022, by gender. The mortality rate for stroke has, in general, decreased over the period observed.

Cause of death data from National Records Scotland (NRS, formerly General Registrar Office (GRO) and contains data relating to the causes of death of patients.

Graph and download economic data for Premature Death Rate for Scotland County, MO (CDC20N2U029199) from 1999 to 2020 about Scotland County, MO; premature; death; MO; rate; and USA.

There were 12,129 births registered in Scotland between 1 January and 31 March 2022. This is 4.3 per cent lower than the quarter one average of 12,676. At 16,179 the number of deaths in 2022 quarter one is 0.9 per cent lower than the quarter one average of 16,329. The age-standardised mortality rate for the four-quarter period ending in 2022 quarter 1 was 2.3 per cent lower than the previous four-quarter period (ending 2021 quarter 4). This rate takes into account the growing and ageing population and is therefore the best indicator of the direction of the mortality trend.
There were 48 stillbirths (3.9 per 1000 live and still births), 10 per cent below the quarter one average. There were 43 infant deaths (3.5 per 1000 live births), 7% lower than the quarter one average. There were 3,666 marriages. This was 21% higher than the average number of first quarter marriages. There were 129 same-sex marriages, compared with a five-year average of 123. Since June 2021 mixed-sex couples have been able to form a civil partnership. Of the 118 civil partnerships registered in the first quarter of 2022, 96 involved mixed-sex couples. There were 22 same-sex civil partnerships, compared with a five-year average of 14.

Monthly analysis of deaths registered in Scotland, including breakdowns by cause of death, age group, sex, location and SIMD. Includes number of deaths, age-standardised rates and excess deaths. Tables