The COVID-19 pandemic increased the global death rate, reaching *** in 2021, but had little to no significant impact on birth rates, causing population growth to dip slightly. On a global level, population growth is determined by the difference between the birth and death rates, known as the rate of natural change. On a national or regional level, migration also affects population change. Ongoing trends Since the middle of the 20th century, the global birth rate has been well above the global death rate; however, the gap between these figures has grown closer in recent years. The death rate is projected to overtake the birth rate in the 2080s, which means that the world's population will then go into decline. In the future, death rates will increase due to ageing populations across the world and a plateau in life expectancy. Why does this change? There are many reasons for the decline in death and birth rates in recent decades. Falling death rates have been driven by a reduction in infant and child mortality, as well as increased life expectancy. Falling birth rates were also driven by the reduction in child mortality, whereby mothers would have fewer children as survival rates rose - other factors include the drop in child marriage, improved contraception access and efficacy, and women choosing to have children later in life.

This dataset is about countries. It has 194 rows. It features 5 columns: birth rate, death rate, fertility rate, and population. It is 100% filled with non-null values.

In 2021, around 373,594 babies were born while 267,651 people died in the state of Texas in the United States. In comparison, there were 34,333 deaths and 35,670 babies born in Connecticut in that same year.

The data shows the year, state and region wise estimated birth rates, death rates, infant mortality rates by residence

Note: Infant Mortality Rate for smaller States & Union Territories are based on three-years period 2013-15.

This dataset of U.S. mortality trends since 1900 highlights the differences in age-adjusted death rates and life expectancy at birth by race and sex.

Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below).

Life expectancy data are available up to 2014. Due to changes in categories of race used in publications, data are not available for the black population consistently before 1968, and not at all before 1960. More information on historical data on age-adjusted death rates is available at https://www.cdc.gov/nchs/nvss/mortality/hist293.htm.

SOURCES

CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov).

REFERENCES

1. National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm.

2. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm.

3. Murphy SL, Xu JQ, Kochanek KD, Curtin SC, and Arias E. Deaths: Final data for 2015. National vital statistics reports; vol 66. no. 6. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_06.pdf.

4. Arias E, Heron M, and Xu JQ. United States life tables, 2014. National vital statistics reports; vol 66 no 4. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_04.pdf.

5. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

Germany's death rate has exceeded its death rate in every year since 1972, meaning that its population has been in a natural decline for over five decades. However, Germany's population has remained fairly stable at over 80 million during this period, due to the influence of immigration.Find more statistics on other topics about Germany with key insights such as life expectancy of women at birth, total life expectancy at birth, and total fertility rate.

Crude death rate : The ratio of the number of deaths during the year to the average population in that year. The value is expressed per 1 000 population Infant mortality rate : The ratio of the number of deaths of children under one year of age during the year to the number of live births in that year. The value is expressed per 1 000 live births. Description copied from catalog.inspire.geoportail.lu.

Annual UK and constituent country figures for births, deaths, marriages, divorces, civil partnerships and civil partnership dissolutions.

Live births by usual residence of mother, and General Fertility Rates (GFR), and Deaths and Standardised Mortality Ratio (SMR) by ward and local authority. The births and deaths data comes from ONS Vital Statistics Table 4. Small area data is only available directly from ONS under licence. The general fertility rate (GFR) is the number of live births per 1,000 women aged 15-44. SMR measures whether the population of an area has a higher or lower number of deaths than expected based on the age profile of the population (more deaths are expected in older populations). The SMR is defined as follows: SMR = (Observed no. of deaths per year)/(Expected no. of deaths per year). Rates are provisional, they are based on the GLA 2011 based SHLAA ward projections (standard) released in January 2012. At national level, however, they are based on the mid-year population estimates. More information is on the ONS website.

In 2024, there were 677,117 births and roughly one million deaths recorded in Germany. The number of births was a decrease from the previous years, and a slight decrease was also seen in the number of deaths.

This scatter chart displays birth rate (per 1,000 people) against death rate (per 1,000 people) in West Bank and Gaza. The data is about countries per year.

Number and percentage of live births and fetal deaths (stillbirths), by place of birth (hospital or non-hospital), 1991 to most recent year.

This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. Infant Mortality is defined as the number of deaths in infants under one year of age per 1,000 live births. Infant mortality is often used as an indicator to measure the health and well-being of a community, because factors affecting the health of entire populations can also impact the mortality rate of infants. Although California’s infant mortality rate is better than the national average, there are significant disparities, with African American babies dying at more than twice the rate of other groups. Data are from the Birth Cohort Files. The infant mortality indicator computed from the birth cohort file comprises birth certificate information on all births that occur in a calendar year (denominator) plus death certificate information linked to the birth certificate for those infants who were born in that year but subsequently died within 12 months of birth (numerator). Studies of infant mortality that are based on information from death certificates alone have been found to underestimate infant death rates for infants of all race/ethnic groups and especially for certain race/ethnic groups, due to problems such as confusion about event registration requirements, incomplete data, and transfers of newborns from one facility to another for medical care. Note there is a separate data table "Infant Mortality by Race/Ethnicity" which is based on death records only, which is more timely but less accurate than the Birth Cohort File. Single year shown to provide state-level data and county totals for the most recent year. Numerator: Infants deaths (under age 1 year). Denominator: Live births occurring to California state residents. Multiple years aggregated to allow for stratification at the county level. For this indicator, race/ethnicity is based on the birth certificate information, which records the race/ethnicity of the mother. The mother can “decline to state”; this is considered to be a valid response. These responses are not displayed on the indicator visualization.

This scatter chart displays birth rate (per 1,000 people) against death rate (per 1,000 people) in Georgia. The data is about countries per year.

This scatter chart displays birth rate (per 1,000 people) against death rate (per 1,000 people) in Europe. The data is about countries.

This scatter chart displays death rate (per 1,000 people) against birth rate (per 1,000 people) in Caribbean. The data is about countries.

The average for 2021 based on 187 countries was 20 deaths per 1000 live births. The highest value was in Sierra Leone: 78 deaths per 1000 live births and the lowest value was in San Marino: 1 deaths per 1000 live births. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

NOTES: Figures include all revisions received from the states and, therefore, may differ from those previously published. Data are provisional and are subject to monthly reporting variation. National data are calculated by summing the number of events reported by state of residence; counts are rounded to the nearest thousand (births and deaths) or hundred (infant deaths). Provisional counts may differ by approximately 2% from final counts, due to rounding and reporting variation. Additionally, the accuracy of the provisional counts may change over time. Data are estimates by state of residence. For discussion of the nature, source, and limitations of the data, see "Technical Notes" of the report, Births, Marriages, Divorces, and Deaths: Provisional Data for 2009. Available from URL: http://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_25.htm. Final counts of births, deaths, and infant deaths for previous years can be obtained from http://wonder.cdc.gov. SOURCE: Provisional data from the National Vital Statistics System, National Center for Health Statistics, CDC.

The overall birth and death rates, denoted by λj and μj, are composed of the birth, death and competition processes that occur at rates βj, δj and γj, respectively. Additionally, the effect of antibiotics, denoted by αj(c), affects either the birth or the death rate, depending on the type of drug administered. The variable c denotes the concentration of the antibiotic and the index j indicates the strain-specificity, j = S or j = R for antibiotic-sensitive or -resistant cells.

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