In 2022, the marriage rate in the United States stood at *** per 1,000 people of the population. This is a decrease from 1990 levels, when the marriage rate was *** marriages per 1,000 people. Marriage Marriage is a union that can legally, culturally, and financially bind two people. Marriage occurs between all genders, races, and cultures, and is often drastically different all around the world, due to the diversity of cultures and religions. Marriage can be recognized by a state, religious authority, or an organization. Typically viewed as a contract, it brings people together through a multitude of avenues. A part of marriage is the wedding, for which couples can decide to partake in or not. Weddings are also incredibly diverse and vary in time, money, and customs. Marriage in the United States Marriage in the United States is viewed differently across all 50 states. The number of married couples in the United States has been steadily increasing since 1960. On the other hand, the divorce rate in the United States has decreased since 1990. Nevada was the state in 2021 that had the highest marriage rate in the United States, due to easy accessibility to get married there. In 2021, Nevada was also the state with the highest divorce rate in the country.

In 2022, Nevada had the highest marriage rate in the United States, with **** marriages per 1,000 residents. Hawaii had the second-highest marriage rate, at **** marriages per 1,000 residents. The falling marriage rate Perhaps unsurprisingly, the marriage rate in the United States has fallen since 1990, although it has leveled off in the past decade. This means that fewer and fewer people are getting married than in years past, particularly as views about marriage have changed in the U.S. However, despite changing perceptions about marriage and a falling marriage rate, there were more married couples in the United States in 2021 than there were in 1960. First comes love, then comes marriage Weddings and marriage have changed in the United States recently as people have been staying single longer, and especially as gay marriage and interracial marriage have become more socially acceptable. The changing face of America means that love and relationships are changing as well, and what is socially acceptable within a relationship will continue to change with it.

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

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.

Graph and download economic data for Unemployment Rate - Married Men (LNS14000150) from Jan 1955 to Jul 2025 about married, males, 16 years +, household survey, unemployment, rate, and USA.

In 2022, there were 67.85 million married men and 68.45 million married women living in the United States. This is compared to 3.7 million widowed men and 11.48 million widowed women.

Marriage in the United States

Nevada had the highest marriage rate in the United States in 2021, followed by Hawaii and Montana. This can be attributed to marriage accessibility in the state. Las Vegas weddings are known for being quick, easy, and inexpensive chapel weddings. In comparison to the cheap weddings available in Las Vegas, the average expenditure for a wedding in the United States was the highest in New Jersey, clocking in at 51,000 U.S. dollars.

Same-sex marriage

The number of Americans who think that same-sex marriage should be recognized by law has more than doubled since 1996, while the number of Americans who think it should not be valid has decreased. It was not until June 26, 2015 that the United States Supreme Court legalized same-sex marriage in all 50 states. Before then, it was up to the states to decide if they allowed same-sex marriage. States in the Southeast are the most opposed to same-sex marriage, whereas the strongest support comes from Northern coastal states.

Graph and download economic data for Employment Level - Married Women (LNS12000315) from Jan 1955 to Jul 2025 about married, females, 16 years +, household survey, employment, and USA.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical 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..Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates.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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Marriage estimates may vary from the marriage data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on marriage certificates from states providing them. From these administrative records, NCHS then publishes information about couples who married in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they married in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of marriages..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations 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 delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, 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..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

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..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical 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..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Marriage estimates may vary from the marriage data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on marriage certificates from states providing them. From these administrative records, NCHS then publishes information about couples who married in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they married in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of marriages..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations 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 delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, 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..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Financial overview and grant giving statistics of American Marriage Ministries

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the .Technical 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..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 populations, 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 2013-2017 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..Marriage estimates may vary from the marriage data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on marriage certificates from states providing them. From these administrative records, NCHS then publishes information about couples who married in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they married in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of marriages..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, 2013-2017 American Community Survey 5-Year Estimates

In 2022, the divorce rate in the United States stood at *** 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 ***** years, while the average length of a second marriage was about ** years.

Financial overview and grant giving statistics of American Association For Marriage

Data and code to replicate empirical results in "Collateralized Marriage."Abstract: Marriage rates have become increasingly stratified by homeownership. We investigate this in a household model where investments in public goods reduce future earnings, and thus divorce risk creates inefficiencies. Access to a joint savings technology, like a house, "collateralizes" marriage, providing insurance to the lower earning partner and increasing specialization, public goods, and value from marriage. We use idiosyncratic variation in housing prices to show that homeownership access indeed leads to greater specialization. The model also predicts that policies that erode the marriage contract in other ways will make wealth a more important determinant of marriage, which we confirm empirically.Data includes compiled Census / American Community Survey Data, PSID data, SIPP data, ATUS data, and FHFA housing price data, all of which are publicly available.

VS: Japanese Only: Marriage: International: FH: USA data was reported at 1,059.000 Person in 2016. This records a decrease from the previous number of 1,127.000 Person for 2015. VS: Japanese Only: Marriage: International: FH: USA data is updated yearly, averaging 1,205.500 Person from Dec 1965 (Median) to 2016, with 48 observations. The data reached an all-time high of 1,592.000 Person in 1965 and a record low of 539.000 Person in 1977. VS: Japanese Only: Marriage: International: FH: USA data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G010: Vital Statistics: Marriage.

Cousin marriage rates are high in many countries today. We provide the first estimate of the effect of such marriages on the life expectancy of offspring. By studying couples married over a century ago, we can observe their offspring across the lifespan. US genealogical data allows us to identify children whose parents were first cousins, and compare their years of life to the offspring of their parents’ siblings. Marrying a cousin leads to more than a two-year reduction in age-5 life expectancy. This effect is strikingly stable across time, despite large changes in life expectancy and economicenvironment.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program 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..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.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..Source: U.S. Census Bureau, 2022 American Community Survey 1-Year Estimates.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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Marriage estimates may vary from the marriage data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on marriage certificates from states providing them. From these administrative records, NCHS then publishes information about couples who married in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they married in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of marriages..The 2022 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations 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 delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

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..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the .Technical 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..Source: U.S. Census Bureau, 2014-2018 American Community Survey 5-Year Estimates.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 .ACS Technical Documentation..). The effect of nonsampling error is not represented in these tables..Marriage estimates may vary from the marriage data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on marriage certificates from states providing them. From these administrative records, NCHS then publishes information about couples who married in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they married in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of marriages..While the 2014-2018 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..Estimates of urban and rural populations, 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..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, or the margin of error associated with a median was larger than the median itself..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....

Financial overview and grant giving statistics of American Association For Marriage And Family Therapy

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 2011-2015 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, 2011-2015 American Community Survey 5-Year Estimates