Between 1970 and 1988, major cardiovascular diseases were the most common cause of death in both the United States and Soviet Union. However, the death rate in the U.S. fell between the given years, whereas the USSR's rate increased significantly, especially during the 1970s. Malignancies (i.e. cancers) were the second most common cause of death, with both death rates rising over time. Other causes that that varied greatly between the two countries were accidents and adverse effects, where the USSR's rate was almost double that of the U.S. in 1980; pulmonary diseases, where the U.S. rate was higher in 1988 despite having been four times lower in 1970; and diabetes, where the U.S. rate was higher by a factor of 11 in 1970 and a factor of four in 1988.

There were, of course, variations between the two countries in their standards of diagnosis and the classification of causes of death, with U.S. records generally thought to be more accurate, whereas the USSR's rates improved with time. The Soviet Union also did not provide separate data for deaths caused by liver disease or pneumonia/influenza, possibly due to the rise and prevalence of alcohol-related deaths during the given period, which the government wished to downplay. Preventable deaths related to alcohol and substance abuse (including tobacco) were major factors in the Soviet Union's high death rates in certain categories, such as accidental deaths, pulmonary disease, and suicides. In contrast, the U.S.' higher rate of diabetes deaths has been attribute to an increase in levels of Type 2 diabetes, which is most-commonly caused by lifestyle and dietary factors.

This data collection consists of two data files, which can be used to determine infant mortality rates. The first file provides linked records of live births and deaths of children born in the United States in 1988 (residents and nonresidents). This file is referred to as the "numerator" file. The second file consists of live births in the United States in 1988 and is referred to as the "denominator" file. Variables include year of birth, state and county of birth, characteristics of the infant (age, sex, race, birth weight, gestation), characteristics of the mother (origin, race, age, education, marital status, state of birth), characteristics of the father (origin, race, age, education), pregnancy items (prenatal care, live births), and medical data.

About 228,200 Americans had a license to operate a motor vehicle in the United States in 2020. That year, an estimated 36,680 people died on U.S. roads. Traffic-related fatalities per 100,000 licensed drivers stood at 17.01 in 2020.

Road safety rankings
The United States has among the highest rates of road fatalities per population worldwide. Possible contributing factors to deaths on the road can include speeding, not wearing a seatbelt, driving while under the influence of drugs or alcohol, and driving while fatigued. Traffic fatalities caused by speeding in the United States have declined since 2008, with less than 10,000 deaths recorded annually over recent years.

Automation for the nation
94 percent of severe automobile crashes are due to human error — but driving safety is taken much more seriously today than in the past, with roughly 90 percent of U.S. drivers wearing their seatbelts while driving in 2020. Over recent years, car manufacturers and developers have striven to reduce car crashes even further with partially and fully automated safety features such as forward collision warnings, lane departure warnings, rearview video systems, and automatic emergency braking. Self-driving vehicles are also set to take to the roads in the future, with car brands such as Toyota, Ford, and GM registering over 350 autonomous driving patents respectively in the United States.

This data collection presents information about the causes of all deaths occurring in the United States during 1988. Data are provided concerning underlying causes of death, multiple conditions that caused the death, place of death and residence of the deceased (e.g., region, division, state, county), whether an autopsy was performed, and the month and day of the week of the death. In addition, data are supplied on the sex, race, age, marital status, education, usual occupation, and origin or descent of the deceased. The multiple cause of death fields were coded from the MANUAL OF THE INTERNATIONAL STATISTICAL CLASSIFICATION OF DISEASES, INJURIES, AND CAUSE-OF-DEATH, NINTH REVISION (ICD-9), VOLUMES 1 AND 2. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR06299.v1. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

The fetal death data file is maintained by calendar year. The information on fetal deaths was abstracted from the Report of Fetal Death forms received from the States by the National Center for Health Statistics (NCHS) and this file contains a record for each form received. Data from New York, excluding New York City, were submitted in machine readable form. All other data were coded and keyed by the U.S. Bureau of the Census. Special consideration should be given to the following paragraphs concerning the tabulation of fetal death records by NCHS. Fetal death tabulations published by the National Center for Health Statistics/Division of Vital Statistics (NCHS/DVS) in Vital Statistics of the United States, Volume 11, Mortality are by place of residence unless otherwise specified in the tables. Fetal deaths to nonresidents of the United States (foreign residents) are excluded from these tabulations. However, tables by place of occurrence include fetal deaths to nonresidents of the United States, and totals differ from residence tables. Foreign resident records can be identified by codes 52 through 57 and 59 in tape locations 23-24. In addition, the majority of fetal death tables published by NCHS/DVS include only those fetal deaths with stated or presumed gestation of 20 weeks or more (see the Technical Appendix). Those records identified with a 2 in tape location 10 are included in these tabulations. All other records are excluded. NOSB = Note to Users: This CD is part of a collection located in the Data Archive at the Odum Institute for Research in Social Science, University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check out the CDs, subscribing to the honor system. Items may be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

In 1970, life expectancy at birth in the Soviet Union and United States was fairly similar, at 69.3 and 70.8 years respectively; a difference of 1.5 years. As the decades progressed, however, this difference widened. While improvements in the recording of such statistics in the Soviet Union gave a more reliable picture of life expectancy across the region, especially in Central Asia and rural areas, the largest influence was due to the side-effects of deteriorating economic conditions. As lifestyles and medical care in the U.S. steadily improved, the decline in life expectancy the USSR was largely due to preventable causes, particularly alcoholism and accidental deaths among the male population. By 1985, life expectancy in the U.S. was 6.3 years higher than in the Soviet Union.

When looking at each gender, life expectancy among women in the U.S. in 1985 was seven years higher than men, whereas there was a difference of almost 10 years in the USSR. Women in the U.S. could also expect to live for five years longer than their Soviet counterparts in this year, while life expectancy among men in the U.S. was eight years higher than in the USSR. Overall, the gap between the two countries narrowed in the late 1980s as the Soviet Union's existence came to an end, however, this gap then grew even larger throughout most of the 1990s and early-2000s, and the post-Soviet states continue to deal with the social and economic legacy of Soviet dissolution on their respective demographics thirty years later.

The number of road-traffic related injuries in the United States has decreased by roughly 17 percent between 2019 and 2020, whereas fatalities increased by almost 8 percent. Between 2010 and 2020, road traffic injuries in the United States grew by nearly 34,000 incidents to some 2.28 million road traffic related injuries in 2020. Over the same period, fatalities also increased by about 5,800. This follows two decades of a general decrease in the amount of traffic-related injuries.

Why are traffic injuries increasing? In the United States, male drivers are behind the wheel in the majority of fatal crashes. Though speeding and driving under the influence of alcohol are often to blame, neither have led to a rise in traffic fatalities in the U.S.: instead, cellphones are primarily the cause. Smartphone ownership has become almost omnipresent in the U.S. since 2010, and drivers are likely to be distracted by texting and using social media. Young drivers are the ones accounting for the highest share of cellphone use fatalities.

Changes in mobility Another reason why fatal accidents are rising in number is that non-occupants’ exposure to risk is also increasing. As residents become more encouraged to walk or cycle in cities, the extra time amongst traffic has led to higher rates of fatalities and injuries amongst cyclists and pedestrians. Lastly, poor infrastructure and lack of awareness by motorists is prevalent in large parts of the United States.

Monitoring development indicators has become a central interest of international agencies and countries for tracking progress towards the Millennium Development Goals. In this review, which also provides an introduction to a collection of articles, we describe the methodology used by the United Nations Inter-agency Group for Child Mortality Estimation to track country-specific changes in the key indicator for Millennium Development Goal 4 (MDG 4), the decline of the under-five mortality rate (the probability of dying between birth and age five, also denoted in the literature as U5MR and 5q0). We review how relevant data from civil registration, sample registration, population censuses, and household surveys are compiled and assessed for United Nations member states, and how time series regression models are fitted to all points of acceptable quality to establish the trends in U5MR from which infant and neonatal mortality rates are generally derived. The application of this methodology indicates that, between 1990 and 2010, the global U5MR fell from 88 to 57 deaths per 1,000 live births, and the annual number of under-five deaths fell from 12.0 to 7.6 million. Although the annual rate of reduction in the U5MR accelerated from 1.9% for the period 1990–2000 to 2.5% for the period 2000–2010, it remains well below the 4.4% annual rate of reduction required to achieve the MDG 4 goal of a two-thirds reduction in U5MR from its 1990 value by 2015. Thus, despite progress in reducing child mortality worldwide, and an encouraging increase in the pace of decline over the last two decades, MDG 4 will not be met without greatly increasing efforts to reduce child deaths.

Iceland IS: Death Rate: Crude: per 1000 People data was reported at 6.900 Ratio in 2016. This records an increase from the previous number of 6.600 Ratio for 2015. Iceland IS: Death Rate: Crude: per 1000 People data is updated yearly, averaging 6.700 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 7.300 Ratio in 1988 and a record low of 6.100 Ratio in 2012. Iceland IS: 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 Iceland – Table IS.World Bank.WDI: 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;

4.9 (deaths per 1,000 live births) in 2017.

Graph and download economic data for Employment for Other Services (Except Public Administration): Death Care Services (NAICS 8122) in the United States (IPUUN8122W201000000) from 1988 to 2023 about death, NAICS, services, employment, and USA.

This statistic presents the number of petitions that were filed with the United States National Injury Compensation Program (VICP) seeking compensation for injury or death caused by select vaccines from October 1988 to June 2023, by outcome. Over this time period 5,588 petitions seeking damages for injury or death from the influenza vaccine were compensated and 993 were dismissed.

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

Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.

This study includes data related to the 2021-2022 European Commission, Marie Skłodowska-Curie Individual Action titled: Valvax: Evaluating the Long-Run Socioeconomic Effects of Childhood Vaccination, project #890475. Records containing replication files and underlying data will be populated as research findings are published.This project studies how the Salk vaccine trial broadly affected public health during the 1950s and 1960s. Involving over 1.8 million child participants, the Salk trial is the largest vaccine trials ever conducted. This trial provided access to the inactivated polio vaccine (IPV), established vaccination programs in schools, and provided many parents information about the safety and benefits of childhood vaccination.OVERVIEW dataset reference and name The VALVAX project uses already gathered data (reused) from both non-sensitive and sensitive sources. Below I describe the data sets constructed. Non-sensitive data DS1 - County by Year panel of mortality by select causes matched with public information on county characteristics and information on Salk trail participation, 1946 to 1970. DS2 - County by Year panel of newspaper articles referencing specific terms matched with public information on county characteristics and information on Salk trail participation, 1950 to 1970.Sensitive data DS3 - Set of annual survey responses of individuals in NORC General Social Survey Data. Matched with geographic information on Salk trial participation by residence at age 16, 1977-2018. Geographic information used for data linkages is confidential due to contract with data owner, NORC. DS4 - Individual level administrative data of complete count 2000 U.S. Census and SSA NUMIDENT. Geographically linked to Salk trial information. Restricted access. Data used under contract with US Census Bureau and Social Security Administration. origin and expected size of the data generated/collected DS1 - approximately 50mb Underlying data re-used in DS1: Salk Polio Vaccine Trial 1953 - 1957 County level information on vaccine trial. -Francis, T., J. A. Napier, and R. F. Voight (1957). Evaluation of the 1954 Field trial of poliomyelitis vaccine. Final report. Poliomyelitis Vaccine Evaluation Center, department of epidemiology, School of Public Health, University of Michigan. Ann Arbor, Mich. Demographic, Economic, and Social Data 1940-2002 Demographic controls for regressions. - Haines, Michael R., and Inter-university Consortium for Political and Social Research. Historical, Demographic, Economic, and Social Data: The United States, 1790-2002. Inter-university Consortium for Political and Social Research [distributor], 2010-05-21. https://doi.org/10.3886/ICPSR02896.v3 U.S. County-Level Natality and Mortality Data 1915-2007 Linking health shocks to survey outcomes. -Bailey, Martha, Clay, Karen, Fishback, Price, Haines, Michael R., Kantor, Shawn, Severnini, Edson, and Wentz, Anna. U.S. County-Level Natality and Mortality Data, 1915-2007. Inter-university Consortium for Political and Social Research [distributor], 2018-05-02. https://doi.org/10.3886/ICPSR36603.v2 U.S. Vital Statistics, Cause of Death - Annual VSUS pdfs, Compressed Mortality File, Multiple Cause of Death File. National Center of Health Statistics 1946-1988 Linking health shocks to survey outcomes. -National Center for Health Statistics (1958). Vital statistics of the United States 1946- 1958. U.S. Government Printing Office. -National Center for Health Statistics (1967). Multiple Cause of Death Files: 1959-67. -National Center for Health Statistics (1988). Compressed Mortality File: 1968-88. DS2 - approximately 5mb Underlying data re-used in DS2: Demographic, Economic, and Social Data 1940-2002 Demographic controls for regressions. - Haines, Michael R., and Inter-university Consortium for Political and Social Research. Historical, Demographic, Economic, and Social Data: The United States, 1790-2002. Inter-university Consortium for Political and Social Research [distributor], 2010-05-21. https://doi.org/10.3886/ICPSR02896.v3 Salk Polio Vaccine Trial 1953 - 1957 County level information on vaccine trial. -Francis, T., J. A. Napier, and R. F. Voight (1957). Evaluation of the 1954 Field trial of poliomyelitis vaccine. Final report. Poliomyelitis Vaccine Evaluat

In the United States in 2021, the death rate was highest among those aged 85 and over, with about 17,190.5 men and 14,914.5 women per 100,000 of the population passing away. For all ages, the death rate was at 1,118.2 per 100,000 of the population for males, and 970.8 per 100,000 of the population for women. The death rate Death rates generally are counted as the number of deaths per 1,000 or 100,000 of the population and include both deaths of natural and unnatural causes. The death rate in the United States had pretty much held steady since 1990 until it started to increase over the last decade, with the highest death rates recorded in recent years. While the birth rate in the United States has been decreasing, it is still currently higher than the death rate. Causes of death There are a myriad number of causes of death in the United States, but the most recent data shows the top three leading causes of death to be heart disease, cancers, and accidents. Heart disease was also the leading cause of death worldwide.

5.0 (deaths per 1,000 live births) in 2017.

8.4 (deaths per 100 000 population) in 2024.

This data collection contains detailed county and state-level ecological and descriptive data for the United States for the years 1790 to 2002. Parts 1-43 are an update to HISTORICAL, DEMOGRAPHIC, ECONOMIC, AND SOCIAL DATA: THE UNITED STATES, 1790-1970 (ICPSR 0003). Parts 1-41 contain data from the 1790-1970 censuses. They include extensive information about the social and political character of the United States, including a breakdown of population by state, race, nationality, number of families, size of the family, births, deaths, marriages, occupation, religion, and general economic condition. Parts 42 and 43 contain data from the 1840 and 1870 Censuses of Manufacturing, respectively. These files include information about the number of persons employed in various industries and the quantities of different types of manufactured products. Parts 44-50 provide county-level data from the United States Census of Agriculture for 1840 to 1900. They also include the state and national totals for the variables. The files provide data about the number, types, and prices of various agricultural products. Parts 51-57 contain data on religious bodies and church membership for 1906, 1916, 1926, 1936, and 1952, respectively. Parts 58-69 consist of data from the CITY DATA BOOKS for 1944, 1948, 1952, 1956, 1962, 1967, 1972, 1977, 1983, 1988, 1994, and 2000, respectively. These files contain information about population, climate, housing units, hotels, birth and death rates, school enrollment and education expenditures, employment in various industries, and city government finances. Parts 70-81 consist of data from the COUNTY DATA BOOKS for 1947, 1949, 1952, 1956, 1962, 1967, 1972, 1977, 1983, 1988, 1994, and 2000, respectively. These files include information about population, employment, housing, agriculture, manufacturing, retail, services, trade, banking, Social Security, local governments, school enrollment, hospitals, crime, and income. Parts 82-84 contain data from USA COUNTIES 1998. Due to the large number of variables from this source, the data were divided into into three separate data files. Data include information on population, vital statistics, school enrollment, educational attainment, Social Security, labor force, personal income, poverty, housing, trade, farms, ancestry, commercial banks, and transfer payments. Parts 85-106 provide data from the United States Census of Agriculture for 1910 to 2002. They provide data about the amount, types, and prices of various agricultural products. Also, these datasets contain extensive information on the amount, expenses, sales, values, and production of farms and machinery. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR02896.v3. We highly recommend using the ICPSR version, as they made this dataset available in multiple data formats and updated the data through 2002.

10,7 (deaths per 100 000 population) in 2024.