This World Marriage Dataset provides a comparable and up-to-date set of data on the marital status of the population by age and sex for 232 countries or different regions of the world from 1970 to 2019. There are 271605 rows and 9 columns in this dataset. Each row of the dataset represents a specific age group of men, either divorced or married or Single. The columns include:

Sr. No.: A serial number to identify each entry. Country: The country of focus. Age Group: The age range of the surveyed individuals. Sex: The gender of the surveyed individuals. Marital Status: The marital status of the individuals, categorized as either "Divorced" or "Married" or "Single". Data Process: The method used to collect the data. Data Collection (Start Year): The year when data collection began. Data Collection (End Year): The year when data collection ended. Data Source: The source of the data. This dataset helps to understand the marital status distribution among different age groups of men and women in all over the world from 1970 to 2019.

In 2023, the average cost of a wedding reception venue in the United States amounted to an estimated 12,800 U.S. dollars. Couples in the U.S. have several costs to keep in mind when planning their special day. Besides the wedding ring, other expensive considerations typically include booking a live reception band and a wedding photographer, which cost an average of 4,300 and 2,900 U.S. dollars respectively in 2023.

A data set of first marriages (including marriage location and ages of spouses at marriage) and lifespans of spouses (including year and location of births and deaths, where known), for marriages conducted between 1600 and 1899 in the Netherlands, Belgium and Germany. Also included is a binary indicator for whether the marriage, birth or death locations were urban or rural between 1600 and 1800, according to the coding system used by Bosker et al. 2013 [Rev. Econ. Stat., 95(4), 1418-1437 doi:10.1162/REST_a_00284]. The data set is derived from a genealogical database, which was constructed from family tree (GEDCOM) files contributed by users of www.genealogieonline.nl. The genealogical data from contributed files was error-checked before being combined into a single database using the TreeChecker application. From the initial pool of >1600 f iles contributed by the users of www.genealogieonline.nl, 924 files were included in the database after an assessment of the percentage of errors in each file, hence the database is known as the GO 924 set.Duplicate marriages were identified by the year of marriage and the first 7 letters of each spouse surname, whereupon a random duplicate was selected for inclusion in the data set. Note that names of individuals and exact dates of marria ges, births and deaths are excluded from this data set to prevent identification of individuals, as the genealogical data was provided to our research group on the basis that it would only be published in an aggregated or anonymised format. Access to the un-anonymised data may be granted subject to confidentiality agreements, please contact the authors for further information. Marriages were only included where the place of marriage had been checked and geocoded with latitude and longitude coordinates, where (as far as we could ascertain) it was the first marriage of the spouse, age at marriage was > 13 for both spouses, all lifespans were < 111 and no estimated dates were used to calculate spouse lifespan.The dataset is in a long format, in which there is a separate record for each spouse. It can be determined whether the spouse is the husba nd or wife (and conversely whether the other is the wife or husband) by the spouse_sex variable. A description of each variable is included in the text file accompanying the csv data file.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The Urban Institute, in collaboration with Tahirih Justice Center, sought to examine forced marriages in the United States via an exploratory study of the victimization experiences of those subjected to and threatened with forced marriage. The study also sought to begin to understand elements at the intersection of forced marriage with intimate partner and sexual violence, such as: how perpetrators threaten and actually force victims into marriages; the elements of force, fraud, or coercion in the tactics used to carry out victimization; other case demographics and dynamics (e.g., overseas marriages versus those in the United States); factors that put individuals at risk of forced marriage or that trigger or elevate their risk of related abuses; help-seeking behavior; the role of social, cultural, and religious norms in forced marriage; and the ability (or lack thereof) of service providers, school officials, and government agencies with protection mandates (law enforcement, child protection, and social workers) to screen for, and respond to, potential and reported cases of forced marriage. This collection contains 1 Stata file: ICPSR-Data-File.dta (21007 cases; 48 variables). The qualitative data are not available as part of this data collection at this time.

Marriage, as a social institution, has been around for thousands of years.1 With things that are thousands of years old, it is easy to assume that they can only change slowly. But developments since the middle of the 20th century show that this assumption is wrong: in many countries, marriages are becoming less common, people are marrying later, unmarried couples are increasingly choosing to live together, and in many countries, we are seeing a ‘decoupling’ of parenthood and marriage. Within the last decades the institution of marriage has changed more than in thousands of years before.

Here we present the data behind these fast and widespread changes and discuss some of the main drivers behind them. For the US we have data on marriage rates going back to the start of the 20th century. This lets us see when the decline started, and trace the influence of social and economic changes during the process.

In 1920, shortly after the First World War, there were 12 marriages annually for every 1,000 people in the US. Marriages in the US then were almost twice as common as today. In the 1930s, during the Great Depression, the rate fell sharply. In the 1930s marriages became again more common and in 1946 – the year after the Second World War ended – marriages reached a peak of 16.4 marriages per 1,000 people. Marriage rates fell again in the 1950s and then bounced back in the 1960s. The long decline started in the 1970s. Since 1972, marriage rates in the US have fallen by almost 50%, and are currently at the lowest point in recorded history. The chart also shows that in comparison to other rich countries, the US has had particularly high historical marriage rates. But in terms of changes over time, the trend looks similar for other rich countries. The UK and Australia, for example, have also seen marriage rates declining for decades, and are currently at the lowest point in recorded history.

This dataset compares birth, death and marriage registrations completed by the Office of the Registrar General, beginning in 1925, to the most current published annual report (2022). Data released for 2023 and 2024 (January to June) is preliminary and may not match counts from other sources. The data represents counts in the reference calendar quarters, which are collated approximately 90 days after the end of the quarter. Previously released counts for 2023 and 2024 (January to June) are updated to reflect vital event registrations completed after the release of the initial report. Each subsequent quarterly report is the cumulative total of the preceding quarterly reports. ServiceOntario’s ability to provide timely information depends on receiving vital event registration information from a variety of sources. The preliminary data presented may not represent all the events that occurred in the reporting period. This is particularly true for events that occurred near the end of the reporting period as they may not have been received by ServiceOntario by the time the data is collated. Final counts for the reporting year will be released with the publication of the Office of the Registrar General Annual Report. The Vital Statistics Act requires that after the end of each calendar year, the Registrar General publish a report that includes the number of births, marriages, deaths, still-births, adoptions and changes of name registered during the calendar year preceding the one that has ended.

A data set based on marriages conducted between 1600 and 1999 in the Netherlands. Includes information on lifespans and marriage ages of spouses (focal spouse and other), also location data for births, marriages and deaths. Includes information on lifespans and death locations of parents of the spouses. Includes information on whether the marriage, birth and death locations were urban or rural between 1600 and 1800, based on whether a place contained 5000 or more inhabitants (using a database developed by Bosker et al. 2013 [Rev. Econ. Stat., 95(4), 1418-1437 doi:10.1162/REST_a_00284]). The data set is derived from a genealogical database, which was constructed from family tree (GEDCOM) files contributed by users of www.genealogieonline.nl, via a program in which genealogists who were registered with the website were invited to contribute their family trees for scientific research purposes. The genealogical data from contributed files was error-checked before being combined into a single database using the TreeChecker application (http://www.treechecker.net). From the initial pool of >1600 contributed files, 924 files were included in the database after an assessment of the percentage of errors in each file, hence the database is known as the GO 924 set. Duplicate marriages were identified by the year of marriage and the first 7 letters of each spouse surname, whereupon a random duplicate was selected for inclusion in the data set. Note that names of individuals and exact dates of marriages, births and deaths are excluded from this data set to prevent identification of individuals, as the genealogical data was provided to our research group on the basis that it would only be published in an aggregated or anonymised format. Access to the un-anonymised data may be granted subject to confidentiality agreements, please contact the authors for further information. Marriages were only included where the place of marriage was in the Netherlands, marriage age of the spouse was > 13 and the spouse died in the Netherlands. The dataset is in a long format, in which there is a separate record for each spouse. It can be determined whether the spouse is the husband or wife (and conversely whether the other is the wife or husband) by the spouse_sex variable. A description of each variable is included in the accompanying text file: GO924_married_and_dying_in_NL_VARIABLES.txt.

Three waves of data were collected, in addition to detailed information about program group members' participation and engagement in SHM services. The first wave of data was collected when families first enrolled in the SHM study, just prior to being randomly assigned. Husbands and wives were asked to complete a set of baseline instruments that capture socio-demographic and other characteristics such as employment, education, household composition, marital quality and satisfaction, and prior life experiences. The second wave of data was collected approximately 12 months after families first entered the study, through an adult follow-up survey and an observational study. All husbands and wives were asked to complete a follow-up survey (10,181 respondents). The survey includes measures of household composition, marital stability, marital quality, parental psychological well-being, parental employment and economic outcomes, material and financial hardship, social support and networks, coparenting relationship, parenting, father involvement, and child well-being and adjustment. A subsample of families was also selected to participate in a series of videotaped observations of couple, coparenting, and parent-child interactions (1,511 families responded). Observational measures include warmth and support, positive communication, and anger and hostility in the couple relationship, as well as positive responsive parenting, hostile-competitive parenting, measures of adolescents' warmth and support, adolescents' positive communication skills, and adolescents' anger and hostility, and infant behavioral measures. The third wave of data was collected approximately 30 months after families first entered the study, and included three types of data: an adult survey, a youth survey and direct child assessments. The 30-month adult survey (9,369 respondents) mirrored the 12-month survey to a large extent, but included an expanded set of child and parenting items. Focal children who were 2.5 to 8 years old at the follow-up point participated in a set of direct child assessments (2,539 respondents) measuring cognitive development and self regulation. Focal children who were 8.5 to 17 years old at the follow-up point participated in a youth survey (1,134 respondents) which measured youths' psychological adjustment, school engagement, academic achievement, parent-child relationship, perceptions of and reactivity to inter-parental conflict, dating and romantic relationships, and risky behaviors. The Supporting Healthy Marriage (SHM) evaluation was launched in 2003 to develop, to implement, and to test the effectiveness of a program aimed at strengthening low-income couples' marriages as one approach for supporting stable and nurturing family environments and parents' and children's well-being. The evaluation was led by MDRC and was sponsored by the Office of Planning, Research and Evaluation in the Administration for Children and Families, United States Department of Health and Human Services.The SHM program was a voluntary yearlong marriage education program for low-income married couples who had children or were expecting a child. The program provided a series of group workshops based on structured curricula designed to enhance couples' relationships; supplemental activities to build on workshop themes; and family support services to address participation barriers, connect families with other services, and reinforce curricular themes. The study sample consists of 6,298 couples (12,596 adult sample members) who were expecting a child or had a child under 18 years old at the time of study entry. The sample consists primarily of low-to-modest income, married couples with diverse racial and ethnic backgrounds. In each family, one child was randomly selected to be the focus of any child-related measures gathered in the data collection activities. These children ranged from pre-birth to 14 years old at the time of enrollment in the study. Follow-up interviews were conducted at 12 and 30 months after baseline data collection. More detail is provided in the study documentation. Datasets: DS0: Study-Level Files DS1: Baseline Data DS2: 12-Month Survey DS3: Management Information System (MIS) Extended Activities DS4: Management Information System (MIS) Family Support Coordinator Contacts DS5: Management Information System (MIS) Marriage Education Groups DS6: Management Information System (MIS) Payments DS7: Management Information System (MIS) Referrals DS8: Observational Study - Adult Dataset DS9: Observational Study - Child Dataset DS10: Observational Study - Inter-rater Reliability Dataset DS11: 30-Month Outcomes Dataset DS12: 30-Month Survey DS13: 30-Month Youth Survey Dataset DS14: Direct Child Assessment Dataset DS15: Child Longitudinal File DS16: Standardized Baseline Dataset ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates read...