In 2022, the median age for the first wedding among women in the United States stood at 28.6 years. For men, the median age was 30.5 years. The median age of Americans at their first wedding has been steadily increasing for both men and women since 1998.

This statistic contains data on the estimated median age of Americans at their first wedding in the United States in 2021, by race and origin. In 2021, the median age for the first wedding among Asian women stood at 28.8 years.

81 percent of the Silent generation were married between the age of 23 and 38. This is true for only 44 percent of Millennials.

Mean age and median age at divorce and at marriage, for persons who divorced in a given year, by sex or gender and place of occurrence, 1970 to most recent year.

How many married couples are in the U.S.? In 2023, there were 62.18 million married couples in the United States. This is an increase from 40.2 million married couples in 1960. Marriage in the U.S. While the number of married couples in the U.S. has increased in the past few decades, this could very well just be due to population change, since while the U.S. population has been increasing, the marriage rate has decreased significantly since 1990. In addition, the divorce rate has almost halved since 1990 despite concerns that more people are getting divorced than in years past. Same-sex marriage in the U.S. After years of advocacy, same-sex marriage became legal in the United States in June 2015. The U.S. Supreme Court ruled that same-sex marriage was legal in a landmark ruling in the case of Obergefell v. Hodges. In 2015, a clear majority of Americans were in favor of the legalization of same-sex marriage, and approval has only been increasing in the years since.

United States US: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This stayed constant from the previous number of 1.000 NA for 2015. United States US: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No data is updated yearly, averaging 1.000 NA from Sep 2015 (Median) to 2017, with 2 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 1.000 NA in 2017. United States US: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Policy and Institutions. Law prohibits or invalidates child or early marriage is whether there are provisions that prevent the marriage of girls, boys, or both before they reach the legal age of marriage or the age of marriage with consent, including, for example, a prohibition on registering the marriage or provisions stating that such a marriage is null and void.; ; World Bank: Women, Business and the Law.; ;

The mean age at first marriage in Spain was, along with Sweden, one of the highest in the European Union. Based on this setup, it is no wonder that the Spanish autonomous communities featured quite elevated numbers - particularly in the Canary Islands, where the average age at first marriage stood at over 41 years old for men and over 38 for women in 2023. Easy come easy go Marriage might be undergoing a declining popularity among Spaniards, or so it would seem by its national (heterosexual) marriage figures, which have experienced a slight decrease overtime. In 2023, the Balearic Islands recording the highest numbers on the list of marriage rate in Spain, with a rate of 4.43 marriages per 1,000 people. Moreover, Spain has one of the highest divorce rates in Europe, with 85.5 divorces per 100 marriages carried out in this country in 2020. Ageing: a common problem across the continent The age at first marriage is not the only digit that is on the rise in Spain. Data related to age in the Mediterranean country essentially behaves in a similar fashion as the rest of its European counterparts, whose population is also slowly but surely getting older. In 2023, the life expectancy at birth in Spain stood at 83.77 years, one of the highest in the world.

According to a recent survey, in 2023, around 71 percent of the American population believed same-sex marriage should be recognized by the law as valid. Interestingly enough, this figure changed considerably when taking into account the age group of the respondents. Young people between 18 and 34 years of age, in fact, were the group showing the highest support for same-sex marriage, with 89 percent. On the other hand, 60 percent of the respondents aged 65 years or more thought marriage between same-sex couples should be legally recognized as valid.

This file contains demographic data for marriages occurring in the United States during the 1990 calendar year. The data were taken from marriage certificates registered with the vital statistics offices of 42 states, the District of Columbia, Puerto Rico, and the Virgin Islands. The certificates for each state were chosen at one of five sampling rates (5, 10, 20, 50, or 100 percent), depending on the total number of marriages performed in the state during the year. Each record includes a weight factor based on the sampling fraction of the reporting state. The demographic data collected include age, race, previous marital status, number of this marriage, education, and natality of both the bride and groom. Information about the marriage ceremony itself includes month, day, and week of marriage and type of ceremony.

To examine the causes of marital instability throughout the life course, six waves of data were collected between 1980 and 2000 from married individuals who were between the ages of 18 and 55 in 1980. Information collected in 1980 (Wave I) focused on the effects of wives' participation in the labor force on marriage and marital instability. Measures predicting marital instability and divorce and assessing marital quality were developed. Variables include information on earnings, commitment to work, hours worked, and occupational status. The focus of Wave II, conducted in 1983, was to link changes in factors such as economic resources, wife's employment, presence of children, marital satisfaction, life goals, and health to actions intended to dissolve a marriage, such as divorce and permanent separation. Information on adjustment to marital dissolution, relationship with in-laws, size of home, parents' employment, use of free time, club membership, child-care arrangements, and responsibility for chores was gathered. Wave III, collected in 1988, further examined the impact of changes in employment, economics, and health on marital relationships. Questions were asked about divorce and remarriage, investment of energy and resource use in the care of aging parents and dependent offspring, asset value, awareness of aging, mental health issues, and history of disease. In 1992, Wave IV data were collected to look at changes in employment, economics, and health. Questions were asked about retirement issues, family structure, and the impact of caring for aging parents while at the same time caring for dependent offspring. Data were also collected in 1992 and 1994 from adult offspring who were living in the household in 1980 and had reached age 19 by 1992, thus providing parallel measures with their parents regarding the quality of parent-child relationships, attitudes, and support along with exploring the impact of childhood experiences on the transition to adult life. In 1997, the fifth wave was collected and interviews were conducted with a second sample of adult offspring (N=202) along with second interviews of offspring selected in 1992 (N=606). Wave V also examined the relationship between marital quality and stability and how it relates to changes in marital quality later in life. In 2000, Wave VI data were collected. Included with the adult panel was a panel obtained from the offspring who participated in 1992 or 1997, a replicate of the original cross-section study completed in 1980 (comprised of currently married persons between the ages of 19 and 55), along with a comparison sample made up of persons who were married in 1980 and were between 39 and 75 years old. The investigators examined whether there were changes in marital quality between 1980 and 2000, identified factors that might have accounted for these changes, and sought to determine their impact on the health and longevity of older persons. New questions included in Wave VI covered whether the respondent thought he/she had an organized lifestyle, alcohol and tobacco use, health problems, physical limitations, and mattering (the level of concern expressed for and received from spouse). Among the variables included in all six waves are age, sex, educational attainment, marital status and history, attitude toward divorce, number of children, religious affiliation, and income level. The Work and Family Life Study (ICPSR 26641) was conducted in 2000 as a follow-up to the Marital Instability Over the Life Course Study. Included in the Work and Family Life Study is a new cross-section of 2,100 married people 55 years of age and younger. Additionally, the Work and Family Life Study contains a Comparison Sample comprised of 1,600 additional respondents. The purpose of this Comparison Sample is to assess potential bias due to sample attrition in the panel study.

Since the mid-2000s the average age at first wedding in France increased gradually, for both men and women. It seems to be common for the first marriage to be celebrated later and later in Western countries. For example, the median age at first marriage in the United States went from 26.8 years old for males and 25 years old for females in 1997, up to 30.3 years old for males and 28.4 for females in 2019. Same thing occurred in Europe where Sweden was the country where the median age at first wedding was the oldest in 2019.

French people wait longer to marry

According to the source, in 2004, the average age at first wedding for French men was 30.8 compared to 28.8 for women. If men still tend to be older than women at first marriage, the average age at marriage for both males and females increased from 2004 to 2021. In 2021, men were aged on average 39.2 at their first wedding, compared to 36.8 for women. Most marriages in France happened between men and women despite the implementation of same-sex marriage in 2013. Mean age at gay marriages appear to be even older than in different-sex wedding.

Marriage and divorce in France

Thus, the percentage of married persons in France decreased since 2006, while the share of single and divorced people rose. However, in 2016, France was the second European country with the highest number of marriages behind Germany. On the other hand, like most other Western nations, France also has an important divorce rate. In 2016, the number of French divorces was of 55 per 100 marriages.

In 2022, the divorce rate in the United States stood at 2.4 per 1,000 of the population. Divorce in the U.S. Divorce is the termination of a marital union. In the United States, as in most other countries, it is a legal process in which a judge or another legal authority dissolves the bonds of matrimony existing between two persons. The process of divorce also normally involves issues surrounding distribution of property, financial support of the former spouse, child custody and child support. A divorce also allows a person to marry again.In the United States divorce is, like marriage, a matter for state governments, not the federal government. Although divorce laws vary from state to state, for example on which terms a divorce can be arranged, a divorce must be certified by a court of law to become effective. A declining divorce rate Over the last couple of years both the marriage rate and the divorce rate have been declining in the United States. As of 2009, the average length of a first marriage in the U.S. was eight years. The average age men were at when they went through their first divorce was 32, for women this was 30. The average length of a second marriage was about 10 years.

The Wedding Services industry provides a wide variety of wedding day services, apparel retailers and venues. Evolving social norms and medical advancements, which enable women to safely give birth later in life, have caused the marriage rate to decline in recent decades. Extended periods of cohabitation before marriage and family planning have increasingly become normal among young couples. As a result, the industry has contended with declining revenue over the past five years. Despite fewer couples getting married, increasing per capita disposable income has enabled those seeking to spend more on their big day, limiting revenue declines. Nonetheless, as couples postponed or downsized their weddings during the COVID-19 pandemic, industry revenue dropped significantly in 2020 alone. Consequently, industry revenue fell at a CAGR of 4.1% to $70.3 billion over the past five years, including a decrease of 0.6% in 2023 alone.Despite rising wedding budgets, which translated to higher revenue, heightened competition has hindered revenue per operator. Over the past five years, the barriers to entry for operators in this industry have decreased as more couples can find vendors through the internet. Online marketing and social media have increased visibility for wedding services and lowered marketing budgets, making it easier for new companies to enter the industry. But, coronavirus-related pressures forced many of these new entrants out of the industry. Also, limited demand because of the declining marriage rate has led to lower revenue per operator somewhat deterring new entrants.Moving forward, industry demand will continue to be pressured by the marriage rate, which will further decline over the next five years. Even so, continued pent-up demand from previously postponed weddings will support industry revenue. During the outlook period, rising consumer confidence indicates that individuals will be more willing to take on nonessential expenditures and incur high wedding costs. Also, the increasing average age of marriage and the length of engagements will give couples more time to plan and save money for their ceremonies. Overall, industry revenue will rise at a CAGR of 0.2% to $71.1 billion over the next five years.

In 2023, there were about 15.09 million children living with a single mother in the United States, and about 3.05 million children living with a single father. The number of children living with a single mother is down from its peak in 2012, and the number of children living with a single father is down from its peak in 2005.

Marriage and divorce in the United States

Despite popular opinion in the United States that “half of all marriages end in divorce,” the divorce rate in the U.S. has fallen significantly since 1992. The marriage rate, which has also been decreasing since the 1990s, was still higher than the divorce rate in 2021. Half of all marriages may not end in divorce, but it does seem that fewer people are choosing to get married in the first place.

New family structures

In addition to a falling marriage rate, fewer people in the U.S. have children under the age of 18 living in the house in comparison to 1970. Over the past decade, the share of families with children under 18, whether that be married couples or single parents, has stayed mostly steady, although the number of births in the U.S. has also fallen.

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Tell us what you think. Provide feedback to help make American Community Survey data more useful for you..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2012-2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2012-2016 American Community Survey 5-Year Estimates

This paper demonstrates that administrative data may be inferior to survey data under particular circumstances. We examine the effect of state laws governing the minimum age of marriage in the United States. The estimated effects of these laws are much smaller when based on retrospective reports from census versus administrative records from Vital Statistics data. This discrepancy appears due to systematic avoidance behavior of two kinds. Some young people marry in states with less restrictive laws; others appear to have misrepresented their age on their marriage certificate. Our results have important implications regarding legal avoidance and the use of administrative data. (JEL J12 K36)

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Tell us what you think. Provide feedback to help make American Community Survey data more useful for you..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate..An ''-'' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2016 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2016 American Community Survey 1-Year Estimates

The purpose of this data collection was to identify the causes of marital instability throughout the life course. A national sample of married individuals 55 years of age or younger was interviewed by telephone in 1980 and reinterviewed in 1983 and 1988. Spouses were not interviewed. In the first wave of data the investigators focused on female labor force participation, while the next two waves were guided by a life course perspective. An attempt was made to link changes in items such as economic resources, wife's employment, presence of children, marital satisfaction, life goals, and health, to divorce, permanent separation, and other actions intended to dissolve a marriage. Background variables on respondents include age, sex, educational attainment, marital status and history, number of children, religious affiliation, and income level. Information also is supplied on relationship with in-laws, size of home, parents' employment, use of free time, club membership, child care arrangements, and responsibility for chores.

This statistic shows the results of a survey in the United States as to whether gay or lesbian relations are morally acceptable and whether gay and lesbian relations and same-sex marriage should be legal. The results are divided according to specified age groups of respondents. 66 percent of 18 to 34 year olds believe same-sex marriage should be legal. 46 percent of those aged 55 and over believe gay and lesbian relations are morally acceptable.

This file contains demographic data for marriages occurring in the United States during the 1987 calendar year. The data were taken from marriage certificates registered with the vital statistics offices of 42 states, the District of Columbia, Puerto Rico, and the Virgin Islands. The certificates for each state were chosen at one of five sampling rates (5, 10, 20, 50, or 100 percent), depending on the total number of marriages performed in the state during the year. Each record includes a weight factor based on the sampling fraction of the reporting state. The demographic data collected include age, race, previous marital status, number of this marriage, education, and natality of both the bride and groom. Information about the marriage ceremony itself includes the month, day, and week of the marriage, and the type of ceremony.