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

The COVID-19 pandemic resulted in an increase in the global death rate, 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 rate, and this is known as the rate of natural change - on a national or regional level, population change is also affected by migration. 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 falling 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.

Niger had the highest birth rate in the world in 2024, with a birth rate of 46.6 births per 1,000 inhabitants. Angola, Benin, Mali, and Uganda followed. Except for Afghanistan, all the 20 countries with the highest birth rates in the world were located in Sub-Saharan Africa. High infant mortality The reasons behind the high birth rates in many Sub-Saharan African countries are manyfold, but a major reason is that infant mortality remains high on the continent, despite decreasing steadily over the past decades, resulting in high birth rates to counter death rates. Moreover, many nations in Sub-Saharan Africa are highly reliant on small-scale farming, meaning that more hands are of importance. Additionally, polygamy is not uncommon in the region, and having many children is often seen as a symbol of status. Fastest growing populations As the high fertility rates coincide with decreasing death rates, countries in Sub-Saharan Africa have the highest population growth rates in the world. As a result, with Africa's population forecast to increase from 1.4 billion in 2022 to over 3.9 billion by 2100.

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

Vital Statistics: Birth Rate: per 1000 Population: Punjab data was reported at 14.300 NA in 2020. This records a decrease from the previous number of 14.500 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Punjab data is updated yearly, averaging 17.000 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 22.400 NA in 1998 and a record low of 14.300 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Punjab data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

Number and percentage of live births, by month of birth, 1991 to most recent year.

Birth rate of Punjab reduced by 1.38% from 14.5 births per 1000 inhabitants in 2019 to 14.3 births per 1000 inhabitants in 2020. Since the 2.35% decrease in 2010, birth rate slumped by 13.86% in 2020.

In the United States, the crude birth rate in 1800 was 48.3 live births per thousand people, meaning that 4.8 percent of the population had been born in that year. Between 1815 and 1825 the crude birth rate jumped from 46.5 to 54.7 (possibly due to Florida becoming a part of the US, but this is unclear), but from this point until the Second World War the crude birth rate dropped gradually, reaching 19.2 in 1935. Through the 1940s, 50s and 60s the US experienced it's baby boom, and the birth rate reached 24.1 in 1955, before dropping again until 1980. From the 1980s until today the birth rate's decline has slowed, and is expected to reach twelve in 2020, meaning that just over 1 percent of the population will be born in 2020.

Vital Statistics: Birth Rate: per 1000 Population: Telangana data was reported at 16.400 NA in 2020. This records a decrease from the previous number of 16.700 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Telangana data is updated yearly, averaging 17.200 NA from Dec 2014 (Median) to 2020, with 7 observations. The data reached an all-time high of 18.000 NA in 2014 and a record low of 16.400 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Telangana data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

In 2024, there are six countries, all in Sub-Saharan Africa, where the average woman of childbearing age can expect to have around six or more children throughout their lifetime. In fact, of the 20 countries in the world with the highest fertility rates, Afghanistan is the only country not found in Sub-Saharan Africa. High fertility rates in Africa With a fertility rate of almost 7 children per woman, Niger is the country with the highest fertility rate in the world. Population growth in Niger is among the highest in the world. Lack of healthcare access, as well as food instability, political instability, and climate change, are all exacerbating conditions that keep Niger's infant mortality rates high, which is generally the driver behind high fertility rates. This situation is common across much of the continent, and, although there has been considerable progress in recent decades, development in Sub-Saharan Africa is not moving as quickly as it did in other less-developed regions. Demographic transition While these countries have the highest fertility rates in the world, their rates are all on a generally downward trajectory due to a phenomenon known as the demographic transition. The third stage (of four or five) of this transition sees birth rates drop in response to decreased infant and child mortality, as families no longer feel the need to compensate for lost children. Eventually, fertility rates fall below replacement level (approximately 2.1 children per woman), which eventually leads to natural population decline once life expectancy plateaus. In some of the most developed countries today, low fertility rates are

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

Vital Statistics: Birth Rate: per 1000 Population: Maharashtra data was reported at 15.000 NA in 2020. This records a decrease from the previous number of 15.300 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Maharashtra data is updated yearly, averaging 17.600 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 22.500 NA in 1998 and a record low of 15.000 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Maharashtra data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

This statistic shows the 20 countries* with the highest infant mortality rate in 2024. An estimated 101.3 infants per 1,000 live births died in the first year of life in Afghanistan in 2024. Infant and child mortality Infant mortality usually refers to the death of children younger than one year. Child mortality, which is often used synonymously with infant mortality, is the death of children younger than five. Among the main causes are pneumonia, diarrhea – which causes dehydration – and infections in newborns, with malnutrition also posing a severe problem. As can be seen above, most countries with a high infant mortality rate are developing countries or emerging countries, most of which are located in Africa. Good health care and hygiene are crucial in reducing child mortality; among the countries with the lowest infant mortality rate are exclusively developed countries, whose inhabitants usually have access to clean water and comprehensive health care. Access to vaccinations, antibiotics and a balanced nutrition also help reducing child mortality in these regions. In some countries, infants are killed if they turn out to be of a certain gender. India, for example, is known as a country where a lot of girls are aborted or killed right after birth, as they are considered to be too expensive for poorer families, who traditionally have to pay a costly dowry on the girl’s wedding day. Interestingly, the global mortality rate among boys is higher than that for girls, which could be due to the fact that more male infants are actually born than female ones. Other theories include a stronger immune system in girls, or more premature births among boys.

Vital Statistics: Birth Rate: per 1000 Population: Gujarat data was reported at 19.300 NA in 2020. This records a decrease from the previous number of 19.500 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Gujarat data is updated yearly, averaging 22.300 NA from Dec 1997 (Median) to 2020, with 23 observations. The data reached an all-time high of 25.500 NA in 1998 and a record low of 19.300 NA in 2020. Vital Statistics: Birth Rate: per 1000 Population: Gujarat data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

The statistic shows the 20 countries with the lowest fertility rates in 2024. All figures are estimates. In 2024, the fertility rate in Taiwan was estimated to be at 1.11 children per woman, making it the lowest fertility rate worldwide. Fertility rate The fertility rate is the average number of children born per woman of child-bearing age in a country. Usually, a woman aged between 15 and 45 is considered to be in her child-bearing years. The fertility rate of a country provides an insight into its economic state, as well as the level of health and education of its population. Developing countries usually have a higher fertility rate due to lack of access to birth control and contraception, and to women usually foregoing a higher education, or even any education at all, in favor of taking care of housework. Many families in poorer countries also need their children to help provide for the family by starting to work early and/or as caretakers for their parents in old age. In developed countries, fertility rates and birth rates are usually much lower, as birth control is easier to obtain and women often choose a career before becoming a mother. Additionally, if the number of women of child-bearing age declines, so does the fertility rate of a country. As can be seen above, countries like Hong Kong are a good example for women leaving the patriarchal structures and focusing on their own career instead of becoming a mother at a young age, causing a decline of the country’s fertility rate. A look at the fertility rate per woman worldwide by income group also shows that women with a low income tend to have more children than those with a high income. The United States are neither among the countries with the lowest, nor among those with the highest fertility rate, by the way. At 2.08 children per woman, the fertility rate in the US has been continuously slightly below the global average of about 2.4 children per woman over the last decade.

We studied potential effects of outdoor air temperatures or barometric pressure on births, preterm births and births associated with maternal hypertension. 12,269 births were retrospectively reviewed in Brussel and 25,880 in South Reunion Island. National Belgium and French weather reference centers provided outdoor air temperatures and barometric pressures from the nearest weather stations on the corresponding birthdays. Poisson regression models were used to assess if outdoor air temperatures or barometric pressure could be correlated, immediately and several days later, with the number of daily births, preterm births and births associated with hypertension. Outdoor air temperature was significantly correlated to the number of daily births in Brussels. For each additional degree Celsius, overall births increased by 0.4% during the same day. Four days later, overall births increased by 1.8%, preterm births by 2.6% and births associated with hypertension by 5.7%. Similar observations on numbers of daily births were reported in South Reunion Island, without reaching statistical significance (p = .08). As previously demonstrated in recent studies, increased air temperature leads progressively to higher rates of births and preterm births. An even stronger delayed effect of air temperature was observed on births associated with hypertension. This would be worth further investigating.

Contains data from World Health Organization's data portal covering the following indicators:
Infant mortality rate (probability of dying between birth and age 1 per 1000 live births), Adolescent birth rate (per 1000 women aged 15-19 years), Contraceptive prevalence (%), Unmet need for family planning (%), Under-five mortality rate (probability of dying by age 5 per 1000 live births), Median availability of selected generic medicines (%) - Public, Median consumer price ratio of selected generic medicines - Public, Children aged <5 years sleeping under insecticide-treated nets (%), Children aged <5 years with fever who received treatment with any antimalarial (%), Prevalence of condom use by adults during higher-risk sex (15-49) (%), Deaths due to tuberculosis among HIV-negative people (per 100 000 population), Incidence of tuberculosis (per 100 000 population per year), Population aged 15-24 years with comprehensive correct knowledge of HIV/AIDS (%), Prevalence of tuberculosis (per 100 000 population), Births attended by skilled health personnel (%), Maternal mortality ratio (per 100 000 live births), Children aged <5 years stunted (%), Cholera - number of reported cases, Diphtheria - number of reported cases, Japanese encephalitis - number of reported cases, Pertussis - number of reported cases, Number of new leprosy cases, Total tetanus - number of reported cases, Meningitis - number of reported cases, Malaria - number of reported confirmed cases, Poliomyelitis - number of reported cases, Yellow fever - number of reported cases, H5N1 influenza - number of reported cases, Plague - number of reported cases, Mumps - number of reported cases, Congenital Rubella Syndrome - number of reported cases, Neonatal tetanus - number of reported cases, Rubella - number of reported cases, Measles - number of reported cases, Life expectancy at birth (years), Neonatal mortality rate (per 1000 live births), Low-birth-weight newborns (%), Children aged <5 years overweight (%), Alcohol consumption among adults aged ≥ 15 years (litres of pure alcohol per person per year), Literacy rate among adults aged >= 15 years (%), Population (in thousands) total, Population median age (years), Population proportion under 15 (%), Population living on <$1 (PPP int. $) a day (%), Civil registration coverage of births (%), Population proportion over 60 (%), Gross national income per capita (PPP int. $), Total fertility rate (per woman), Population living in urban areas (%), Annual population growth rate (%), Diphtheria tetanus toxoid and pertussis (DTP3) immunization coverage among 1-year-olds (%), Median availability of selected generic medicines (%) - Private, Hospital beds (per 10 000 population), Private prepaid plans as a percentage of private expenditure on health, Per capita government expenditure on health at average exchange rate (US$), Per capita total expenditure on health (PPP int. $), Children aged < 5 years with pneumonia symptoms taken to a healthcare provider (%), Children aged <5 years with diarrhoea receiving ORT (%), Per capita government expenditure on health (PPP int. $), Measles-containing-vaccine first-dose (MCV1) immunization coverage among 1-year-olds (%), Antenatal care coverage - at least one visit (%), General government expenditure on health as a percentage of total government expenditure, Births by caesarean section (%), Median consumer price ratio of selected generic medicines - Private, Hepatitis B (HepB3) immunization coverage among 1-year-olds (%), External resources for health as a percentage of total expenditure on health, Number of dentistry personnel, Children aged 6-59 months who received vitamin A supplementation (%), Physicians density (per 10 000 population), Number of nursing and midwifery personnel, Neonates protected at birth against neonatal tetanus (PAB) (%), Hib (Hib3) immunization coverage among 1-year-olds (%), Social security expenditure on health as a percentage of general government expenditure on health, Number of physicians, [Deaths due to HIV/AIDS (per 100

This dataset reports the daily reported number of the 7-day moving average rates of Deaths involving COVID-19 by vaccination status and by age group.

Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak.

Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool

Data includes:

• Date on which the death occurred
• Age group
• 7-day moving average of the last seven days of the death rate per 100,000 for those not fully vaccinated
• 7-day moving average of the last seven days of the death rate per 100,000 for those fully vaccinated
• 7-day moving average of the last seven days of the death rate per 100,000 for those vaccinated with at least one booster

Additional notes

As of June 16, all COVID-19 datasets will be updated weekly on Thursdays by 2pm.

As of January 12, 2024, data from the date of January 1, 2024 onwards reflect updated population estimates. This update specifically impacts data for the 'not fully vaccinated' category.

On November 30, 2023 the count of COVID-19 deaths was updated to include missing historical deaths from January 15, 2020 to March 31, 2023.

CCM is a dynamic disease reporting system which allows ongoing update to data previously entered. As a result, data extracted from CCM represents a snapshot at the time of extraction and may differ from previous or subsequent results. Public Health Units continually clean up COVID-19 data, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes and current totals being different from previously reported cases and deaths. Observed trends over time should be interpreted with caution for the most recent period due to reporting and/or data entry lags.

The data does not include vaccination data for people who did not provide consent for vaccination records to be entered into the provincial COVaxON system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information in COVaxON.

“Not fully vaccinated” category includes people with no vaccine and one dose of double-dose vaccine. “People with one dose of double-dose vaccine” category has a small and constantly changing number. The combination will stabilize the results.

Spikes, negative numbers and other data anomalies: Due to ongoing data entry and data quality assurance activities in Case and Contact Management system (CCM) file, Public Health Units continually clean up COVID-19, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes, negative numbers and current totals being different from previously reported case and death counts.

Public Health Units report cause of death in the CCM based on information available to them at the time of reporting and in accordance with definitions provided by Public Health Ontario. The medical certificate of death is the official record and the cause of death could be different.

Deaths are defined per the outcome field in CCM marked as “Fatal”. Deaths in COVID-19 cases identified as unrelated to COVID-19 are not included in the Deaths involving COVID-19 reported.

Rates for the most recent days are subject to reporting lags

All data reflects totals from 8 p.m. the previous day.

This dataset is subject to change.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

56.8% of the world’s total population is active on social media.