The graph illustrates the yearly percentage of divorces compared to marriages in the United States from 2000 (‘00) to 2023 (‘23). The x-axis shows years in two-digit form, while the y-axis shows the divorce-to-marriage percentage. During this period, the divorce percentage ranged from a high of about 41.7% in 2002 to a low of around 32.6% in 2022. The overall trend reflects a gradual decline in annual divorces relative to marriages, though year-to-year fluctuations remain. These figures should be viewed as approximate 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.

The graph displays the divorce rate per 1,000 people in the United States from 2000 to 2023. The x-axis represents the years, labeled from '00 to '23, while the y-axis indicates the divorce rate per 1,000 individuals. The divorce rate starts at 4.0 per 1,000 in 2000 and 2001, which are the highest values in the dataset. Over the years, there is a general downward trend, with the rate decreasing to 2.3 per 1,000 in 2020, the lowest point recorded. In 2021 and 2023, the rate slightly fluctuates, rising to 2.5 and then decreasing to 2.4 per 1,000 respectively. The data highlights a consistent decline in the divorce rate over the 22-year period.

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.

The support for same-sex marriage in the United States increased overall between 2016 and 2024. However, there was a decrease in support across both parties in 2024. According to a survey conducted across the years, this increase was particularly relevant among Republicans. This was consistently the party group least in favor of gay marriage, but in 2021, for the first time, a slight majority of Republicans showed support for it. In 2024, 83 percent of the Democrats' electorate thought that same-sex marriage should be recognized by the law as valid.

China Population: Divorce Rate data was reported at 0.256 % in 2023. This records an increase from the previous number of 0.204 % for 2022. China Population: Divorce Rate data is updated yearly, averaging 0.097 % from Dec 1978 (Median) to 2023, with 46 observations. The data reached an all-time high of 0.336 % in 2019 and a record low of 0.018 % in 1978. China Population: Divorce Rate data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GA: Population: No of Marriage and Divorce.

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 and the group quarters population 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, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..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.

American couples adopted several measures in order to celebrate their wedding during the pandemic. According to a survey conducted, some 44 percent of respondents said that they served food outside in order to minimize the risk of infections. Indeed, the popularity to celebrate the wedding ceremony outside or partially outside increased from 57 percent in 2019 to 68 percent in 2020.

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..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..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

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..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..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.

Annual divorce numbers and rates, by duration of marriage, sex, to whom granted and reason, that took place in England and Wales.

Data on marriages and divorces at national level are transmitted by the National Statistics Institutes on voluntary basis in the context of the annual demographic data collections in the field of demography carried out by Eurostat.

The POPSTAT (population statistics) questionnaire collects annual mandatory and voluntary demographic data from the National Statistical Institutes. It is the most in-depth annual national and regional demographic and migration data collection. The data relate to populations, births, deaths, immigrants, emigrants, marriages and divorces, and is broken down into several categories (Article 3 of Regulation (EU) No 1260/2013 and Article 3 of Regulation (EC) No 862/2007).

The completeness of the demographic data collected on a voluntary basis depends on the availability and completeness of information provided by the National Statistical Institutes.

The following statistics on marriages and divorces are collected from the National Statistical Institutes:

• Marriages by previous legal union status of marrying persons;
• First-time marrying persons by age, year of birth and sex;
• Marriages by country of citizenship of marrying persons;
• Marriages by country of birth of marrying persons;
• Divorces by duration and year of the marriage;
• Divorces by country of citizenship of spouses;
• Divorces by country of birth of spouses.

Statistics on marriages and divorces: based on the different breakdowns of data on marriages and divorces received, Eurostat produces the following:

• Statistics available in the online table Marriage indicators (demo_nind):
  • Total number of marriages;
  • Crude marriage rate;
  • Mean age at first marriage – male;
  • Mean age at first marriage – female;
  • Total first marriage rate – male;
  • Total first marriage rate – female;
  • Proportion of first marriages – male;
  • Proportion of first marriages – female.
• Statistics available in the online table Divorce indicators (demo_ndivind):
  • Total number of divorces;
  • Crude divorce rate;
  • Divorces per 100 marriages.

This file contains demographic data for divorces occurring in the United States during the 1987 calendar year. The data were taken from divorce certificates registered with the vital statistics offices of 47 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 divorces occurring 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, education, and natality of divorcing parties, and the number of this divorce. Information about the divorce itself includes month, day, and week of divorce.

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..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..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.

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, 2019 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..Divorce estimates may vary from the divorce data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on divorce decrees from states providing them. From these administrative records, NCHS then publishes information about couples who divorced in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they divorced in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of divorces..The 2019 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 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 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.

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES MARITAL STATUS - DP02 Universe - Population 15 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 The marital status question is asked to determine the status of the person at the time of interview. Many government programs need accurate information on marital status, such as the number of married women in the labor force, elderly widowed individuals, or young single people who may establish homes of their own. The marital history data enables multiple agencies to more accurately measure the effects of federal and state policies and programs that focus on the well-being of families. Marital history data can provide estimates of marriage and divorce rates and duration, as well as flows into and out of marriage. This information is critical for more refined analyses of eligibility for program services and benefits, and of changes resulting from federal policies and programs.

According to a survey conducted in the United States, the average cost for a honeymoon in 2021 was 4.8 thousand U.S. dollars when travelling by plane. If choosing car, the average spending dropped to 2.2 thousand U.S. dollars.

Ages of husband and wife at marriage, and analyses of the percentage of marriages ending in divorce by year of marriage and anniversary, and proportions of men and women who had ever divorced by year of birth and age.

According to a survey conducted in the United States, 43 percent of American couples changed location of their honeymoon due to the coronavirus pandemic. About 41 percent of respondents, instead, said that they postponed the initial honeymoon date.

American couples adopted several measures in order to celebrate their wedding during the pandemic. According to a survey conducted, 77 percent of couples in the United States, for instance, changed seating to allow more space and have less guests per table. Some 44 percent of respondents said that they served food outside in order to minimize the risk of infections.