Since 1980, the U.S. birth rate for twins has risen significantly. As of 2023, the birth rate for twins in the U.S. was 30.7 per 1,000 live births. It is believed that an increase in the twin birth rate may be associated with an increased use of in vitro fertilization and other assisted reproductive technologies in recent years. U.S. twin births Across the U.S. twin birth rates vary in many ways. The U.S. states with the highest twin birth rates are Michigan and Mississippi. Ethnicity is another factor to be considered when investigating the twin birth rate. Since 1980, the U.S. twin birth rate has increased among all ethnicities; however, it has increased more among non-Hispanic black mothers and less among Hispanic mothers. And finally, age is another important factor in twin birth rates. As of 2023, mothers between the ages of 45-54 had the highest twin birth rates in the United States. Assisted reproductive technology Assisted reproductive technology (ART) is a treatment used to treat infertility among men and women. A common complication associated with ART is multiple births (twins, triplets, etc.). In the U.S., among all ART pregnancies, the most common outcome was a still single infant birth, followed by miscarriage. However, multiple births accounted for nearly five percent of all outcomes. This percentage would increase if multiple birth rate per live birth was considered. ART is also most common among older mothers.

Number and percentage of live births, by characteristics of the mother (age, parity, marital status, birthplace) and child (sex, single or multiple births, birth weight) based on weeks of gestation, 2000 to most recent year.

Multiple births in England and Wales occurs, by far, the most frequent among mothers aged 45 years and over. In 2022, mothers over 45 years of age gave birth to, on average, ** multiple births (twins, triplets or more) per 1,000 pregnancies. This statistic displays the multiple birth (twins, triplets or more) rate in England and Wales in 2022, by age of mother.

The Human Multiple Births Database (HMBD) gathers the number of twin births and the twinning rates for countries with reliable statistics. The database also provides statistics on other multiple births (i.e., triplets, quadruplets, etc.) whenever possible. As of 06/10/2022, the HMBD includes data for 25 countries. For each country, data go back as far into the past as possible and extend until the most recent year with available data. Data for each country are updated anually, if possible. The HMBD is available online at: https://www.twinbirths.org/en/ Here, in this figshare data deposit, you will find a static version of the HMBD as of 06/10/2022 (please refer to the "readme.txt" file for a detailed explanation of the contents of this deposit).

This statistic displays the multiple birth (twins, triplets or more) rate in England and Wales from 1990 to 2022. Overall, the rate of multiple births has increased during the provided time interval. However, since 2015 the trend has been reversing. Multiple birth rates dropped to a low of **** in 2021, but have returned to **** by 2022.

This dataset presents the rate of multiple births by number of fetuses—distinguishing between twin births and triplet (or higher order) births—across European countries during 2015. Multiple births are associated with higher risks for both mothers and babies, including preterm birth and low birth weight. Tracking the frequency of multiple gestations helps inform health system planning, clinical risk management, and maternal–newborn care services. Data are sourced from the Euro-Peristat project, which provides harmonised, comparable perinatal health statistics across Europe.Data Source:EuroPeristat: https://www.europeristat.com/This is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

BackgroundResearch on community (home or birth center) twin birth is scarce. This study evaluates outcomes of twin pregnancies entering care with a single community practitioner.MethodsThis is a retrospective observational cohort study of 100 consecutive twin pregnancies planning community births during a 12-year period. Outcomes measured included mode of birth; birth weights; Apgar scores; ante-, intra-, and post-partum transports; perineal integrity; birth interval; blood loss; chorionicity; weight concordance; and other maternal or neonatal morbidity.Results31 women (31%) transferred to a hospital-based clinician prior to labor. Of the 69 pregnancies still under the obstetrician’s care when labor began, 79.7% (n = 55) were Dichorionic Diamniotic and 21.3% (n = 14) were Monochorionic Diamniotic. The vaginal birth rate was 91.3% (n = 63): 77.3% for primips and functional primips (no previous vaginal births) and 97.9% for multips. Six mothers (8.7%) had in-labor cesareans (1 multip and 5 primips). Rates of vaginal birth did not vary significantly by chorionicity. There were 8 transports in labor (11.6%): 2 vaginal and 6 cesareans. Average gestational age was 39.0 weeks (range 35–42). Compared to primiparas, multiparas had less perineal trauma and higher rates of vaginal birth and spontaneous vaginal birth. One twin infant and one mother required postpartum hospital transport. Of the babies born in a community setting, there was no serious morbidity requiring hospital treatment.ConclusionsA community birth can lead to high rates of vaginal birth and good outcomes for both mothers and babies in properly selected twin pregnancies. Community twin birth with midwifery style care under specific protocol guidelines and with a skilled practitioner may be a reasonable choice for women wishing to avoid a cesarean section—especially when there is no option of a hospital vaginal birth. Training all practitioners in vaginal twin and breech birth skills remains an imperative.

Data set containing information about matched sets of twins, triplets, and quadruplets on cd-rom. Background The Matched Multiple Birth Data Set is maintained by the National Center for Health Statistics. The Matched Multiple Birth Data Set allows for unique analysis of birth set data because it links birth sets together generating data about gender among the set, birth weight among the set, and outcomes among the set. Included on the file are 325,516 sets of twins; 12,157 sets of triplets; and 760 sets of quadruplets User functionality Data is presented in Cd- rom. The data was collected over six years and 98% of the records are of matched sets. All of the data is from the United States. Data Notes For more information on this cd-rom, contact: Reproductive Statistics Branch National Center for Health Statistics 3311 Toledo Road, Room 7318 Hyattsville, Maryland 20782 Telephone: (301) 458-4362 or (301) 458-4111

In 2021, the month with the highest rate of twin births in the United States was July with almost 33 twin births per 1,000 total births. This statistic shows the rate of twin births in the United States in 2020 and 2021, by month.

Study question: Do the mothers of twins and singletons differ regarding post-partum and old-age mortality?

Summary answer: Mothers of twins had twice as high post-partum mortality as mothers of singletons; survival of twinners was higher than survival of the mothers of singletons after the 67^th lifespan percentile.

What is known already: Twinning is typically associated with higher post-partum maternal mortality. The evidence about whether twinning incurs long-term survival costs of reproduction or is a trait pertinent to long-lived women is scarce and contradictory.

Study design, size, duration: The study is based on the data of the Estonian Family Register (operating from 1926-43) and involves 5 565 mothers of twins and 119 613 mothers of singletons born between 1850-99. The subset for comparing maternal lifespans included 1 703 – 1 884 mothers of twins and 19 747 – 36 690 mothers of singletons.

Participants/materials, setting, methods: Post-partum maternal mortality was analysed in the whole sample (including mothers of a single child) by logistic regression. Most of the analyses were performed in samples where each mother of twins was matched against mothers of singletons based on parity, urban versus rural origin, whether their lifespan was known, date of birth and age at first birth. Quantile regression was used to analyse age-dependent variations in maternal mortality rates. Lifespans were compared in linear mixed models. All models were adjusted for relevant biodemographic covariates.

Main results and the role of chance: The twinning rate in the whole sample was 4.4%. During the year after giving birth, maternal mortality for multiple gestations was 0.75% (17/2 273) and 0.37% (449/122 750) for single gestations (OR = 2.05, 95% CI = 1.21 – 3.23). The association between twinning and post-natal maternal mortality remained significant in a model controlling for parity and age of first and last birth. The life spans of the mothers of twins and singletons did not differ in matched samples. Past the 67^th lifespan percentile, the odds of survival were significantly higher for mothers of twins than mothers of singletons, as indicated by non-overlapping 95% confidence intervals.

Limitations, reasons for caution: Relatively low number of individuals (22 802) with known age at death due to discontinuation of the register after 1943.

In 2022, Russian women gave almost 15,000 twin births. Furthermore, 161 triplets were born, while three births had over three newborns. The number of twin births in the country has gradually decreased since 2015. To compare, in 1960, the number of twin births across the country exceeded 32,000.

VSA90 - Number of Multiple Births and Twins per 1000 Maternities. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Number of Multiple Births and Twins per 1000 Maternities...

Twin births are an important public health issue due to health complications for both mother and children. While it is known that contemporary factors have drastically changed the epidemiology of twins in certain developed countries, in Brazil, relevant data are still scarce. Thus, we carried out a population-based study of live births in spatial and temporal dimensions using data from Brazil's Live Birth Information System, which covers the entire country. Over 41 million births registered between 2001 and 2014 were classified as singleton, twin or multiple. Twinning rates (TR) averaged 9.41 per 1,000 for the study period and a first-order autoregressive model of time-series analysis revealed a global upward trend over time; however, there were important regional differences. In fact, a Cluster and Outlier Analysis (Anselin Local Moran's I) was performed and identified clusters of high TR in an area stretching from the south of Brazil's Northeast Region to the South Region (Global Moran Index = 0.062, P < 0.001). Spearman's correlation coefficient and a Wilcoxon matched pairs test revealed a positive association between Human Development Index (HDI) and TRs in different scenarios, suggesting that the HDI might be an important indicator of childbearing age and assisted reproduction techniques in Brazil. Furthermore, there was a sharp increase of 26.42% in TR in women aged 45 and over during study period. The upward temporal trend in TRs is in line with recent observations from other countries, while the spatial analysis has revealed two very different realities within the same country. Our approach to TR using HDI as a proxy for underlying socioeconomic changes can be applied to other developing countries with regional inequalities resembling those found in Brazil.

Number of live births and fetal deaths (stillbirths), by type of birth (single or multiple), 1991 to most recent year.

About this dataset

Context

The dataset tabulates the data for the Twin, AL population pyramid, which represents the Twin population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Twin, AL, is 28.1.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Twin, AL, is 35.3.
• Total dependency ratio for Twin, AL is 63.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Twin, AL is 2.8.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Twin population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Twin for the selected age group is shown in the following column.
• Population (Female): The female population in the Twin for the selected age group is shown in the following column.
• Total Population: The total population of the Twin for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Twin Population by Age. You can refer the same here

Bhalotra, Sonia, and Clarke, Damian, (2019) "Twin Birth and Maternal Condition." Review of Economics and Statistics 101:5, 853-864.

Number of babies born in the province of Alberta, by residency status, age of mother, and type of birth (single birth, twins, triplets and quadruplets). Please note: effective July 30, 2021 csv file downloads have been removed for this dataset. (The data was generated on November 5, 2024)

In 2021, there were around 39 twin births in the United States per 1,000 total births among women aged 40 years and older. This statistic shows the rate of twin births in the United States from 2019 to 2021, by age.

About this dataset

Context

The dataset tabulates the population of Twin by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Twin. The dataset can be utilized to understand the population distribution of Twin by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Twin. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Twin.

Key observations

Largest age group (population): Male # 50-54 years (36) | Female # 50-54 years (38). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Twin population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Twin is shown in the following column.
• Population (Female): The female population in the Twin is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Twin for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Twin Population by Gender. You can refer the same here

Preterm birth is a significant obstetrical concern around the globe. With this study, we aimed to determine whether a prior singleton pregnancy preterm birth increases the likelihood of preterm birth in subsequent twin pregnancies. We designed his systematic review to provide valuable information for pregnant women and obstetricians during counselling and for individuals involved in the planning of preventive strategies. We comprehensively searched the PubMed, Embase and Scopus databases to identify relevant studies published until October 2023 following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We applied a random-effects meta-analysis to the data gathered from the selected studies. Among the 460 initially identified studies, only eight met the eligibility criteria. The analysis of incidence revealed an event rate of 9.5% (95% CI, 4.4–19.5%) for a history of preterm singleton birth in the cohort of women with subsequent twin pregnancies. Subgroup analyses focused on the risk of preterm twin births (