Number of divorces and divorce rate per 1,000 marriages, by duration of marriage and place of occurrence, 1970 to most recent year.

Number of divorces and various divorce indicators (crude divorce rate, divorce rate for married persons, age-standardized divorce rate, total divorce rate, mean and median duration of marriage, median duration of divorce proceedings, percentage of joint divorce applications), by place of occurrence, 1970 to most recent year.

Content

World Marriage Data 2012 provides a comparable and up-to-date set of data on the marital status of the population for all countries and areas of the world. Data are presented for the closest date available around five reference dates: the years closest to 1970, 1985, 1995, 2005 and the most recent data available.

Acknowledgements

I have pulled this data from the United Nations Data portal, did some simple post-processing to make it more user-friendly.

Inspiration

I primarily feel this data will be useful in conjunction with other datasets related to different disciplines wherein understanding the marriage trends will add value to the analysis.

Abstract

The Marriages and Divorces (MD) dataset is one of three primary sources of of marriage and divorce statistics in South Africa. Unlike the other two sources (population censuses and household sample surveys), the MD dataset is compiled from administrative data and based on continuous recording (i.e., from civil registration systems and administrative records). Statistics South Africa (Stats SA) regularly publishes a series of data on marriages and divorces, with the first dataset in the series beginning in 2006. The most recent dataset in the series is MD 2020.

Marriage data: Data on marriages for citizens and permanent residents are obtained from registered marriage records that are collected through the civil registration systems of the Department of Home Affairs (DHA). South Africa recognizes three types of marriages by law: civil marriages, customary marriages and civil unions. Before 2008, marriage data only covered civil marriages. The registration of customary marriages and civil unions began in 2003 and 2007 respectively. However, from 2008 onwards, Stats SA began publishing available data on customary marriages and civil unions.

Divorce data: Data on divorces are obtained from various regional courts that deal with divorce matters. The data are based on successful divorce cases that have been issued with a decree of divorce by the Department of Justice and Constitutional Development (DoJCD). Divorce cases come from marriages that were registered in different years as well as divorce cases that were filed in different years but whose divorce decrees were granted in the relevant year of collection.

NOTE: although both the data on marriages and divorces are collected in the same year, the data sets are not linked to each other.

Geographic coverage

National coverage

Analysis unit

Individuals

Universe

The data covers all civil marriages that were recoreded by the Department of Home Affairs and all divorce applications that were granted by the Department of Justice and Constitutional Development in 2020 in South Africa.

Kind of data

Administrative records data [adm]

Mode of data collection

Other

Data appraisal

Geography is problematic in this dataset as not all the data files have geographic data. The Civil Marriages and Civil Unions data files include a Province of Registration variable, but the Customary Marriages data file does not. There is also no geographical data in the Divorces file. As this data file includes divorce data from only a subset of divorce courts, this lack of geographical information compromises its usability.

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

Number and percentage of marriages, by marital status (single-never married, widowed, divorced) and age group of groom, and by marital status (single-never married, widowed, divorced) and age group of bride, opposite sex marriage, 2000 to 2002.

Number of divorces and divorce rate per 1,000 marriages, by duration of marriage and place of occurrence, 1970 to most recent year.

This dataset shows the divorces in Basel-Stadt by date of divorce, marriage duration as well as by age and nationality of the woman or man. The data is updated annually. Before 1984, only the total of divorces is available. In 2000, a new divorce law came into force. In 2010, this was adjusted. Until 2006, a divorce in Basel-Stadt was counted if the plaintiff was resident in Basel-Stadt. Since 2007, a divorce in Basel-Stadt has been counted if the man resides in Basel-Stadt, or if he lives abroad and the woman in Basel-Stadt. For methodological reasons, the values published here may differ from those in public statistics: In the latter, subsequently reported divorces are counted in the last year not yet completed. In this record, they are counted in the year of the divorce date..Source: Statistics of the natural population movement (BEVNAT) of the Federal Statistical Office (FSO). This dataset shows the divorces in Basel-Stadt by date of divorce, marriage duration as well as by age and nationality of the woman or man. The data is updated annually. Before 1984, only the total of divorces is available. In 2000, a new divorce law came into force. In 2010, this was adjusted. Until 2006, a divorce in Basel-Stadt was counted if the plaintiff was resident in Basel-Stadt. Since 2007, a divorce in Basel-Stadt has been counted if the man resides in Basel-Stadt, or if he lives abroad and the woman in Basel-Stadt. For methodological reasons, the values published here may differ from those in public statistics: In the latter, subsequently reported divorces are counted in the last year not yet completed. In this record, they are counted in the year of the divorce date..Source: Statistics of the natural population movement (BEVNAT) of the Federal Statistical Office (FSO). This dataset shows the divorces in Basel-Stadt by date of divorce, marriage duration as well as by age and nationality of the woman or man. The data is updated annually. Before 1984, only the total of divorces is available. In 2000, a new divorce law came into force. In 2010, this was adjusted. Until 2006, a divorce in Basel-Stadt was counted if the plaintiff was resident in Basel-Stadt. Since 2007, a divorce in Basel-Stadt has been counted if the man resides in Basel-Stadt, or if he lives abroad and the woman in Basel-Stadt. For methodological reasons, the values published here may differ from those in public statistics: In the latter, subsequently reported divorces are counted in the last year not yet completed. In this record, they are counted in the year of the divorce date..Source: Statistics of the natural population movement (BEVNAT) of the Federal Statistical Office (FSO).

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_6e50a06c6be69b2f72ec0f4ab1cb5d84/view

Statistics on marriages which took place in England and Wales which include figures on cohabitation before marriage. The cohort analyses provide statistics on the proportion of men and women who have ever married or remarried by certain ages by year of birth.

The graph displays the divorce rate per 1,000 people in the United States from 2000 to 2022. The x-axis represents the years, labeled from '00 to '22, 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 2022, 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.

Description:

Explore a dataset that brings to light the intricate patterns of divorces across Bulgaria's diverse landscapes. Originally derived from the National Statistical Institute of Bulgaria, this collection has been meticulously refined to provide a clear, detailed perspective on marital dissolutions by region and residence type. It's a tool designed for researchers, policymakers, and anyone interested in the societal dynamics of Bulgaria.

DataTransformation:

I made some data transformation, so the dataset would be easier to use for you guys:

• Renaming Columns: I replaced cryptic labels with clear, descriptive titles. 'Updates' now reads as 'revision_number', instantly clarifying its role in tracking data versions.
• Decoding Regions: EKATTE codes were deciphered into their actual English names, offering immediate geographic context.
• Residence Reimagined: I transformed numerical codes into descriptive categories - 'Total', 'City/Urban', and 'Rural' - painting a clearer picture of each record's residential backdrop.
• Pruning the Excess: Columns that added little value were removed, focusing your attention on the most insightful data.

Inside the Dataset:

• revision_number: Tracks the version of each record, reflecting updates or changes.
• date: Indicates the year of the data entry.
• region: Names the specific Bulgarian region for each record.
• region_code: Retains the original EKATTE code for reference.
• Residence: Categorizes the residence setting as 'Total', 'City/Urban', or 'Rural'.
• divorce_count: Quantifies the number of divorces.

Acknowledgment:

This dataset is sourced from the National Statistical Institute of Bulgaria's open data portal. For further exploration of Bulgaria's statistical landscape, visit their official site.

Citation Guide:

When referencing this dataset in your work, please cite as "Bulgaria Divorce Statistics, National Statistical Institute of Bulgaria, [Year Range]. Enhanced for Analytical Clarity by Dimo Dimchev."

Disclaimer:

While I've made efforts to enhance the dataset's accessibility and interpretability, users should consider the context and collection methodology of the original data when drawing conclusions.

Number of marriages that took place in England and Wales by age, sex, previous partnership status and civil or religious ceremony.

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.

Analysis of ‘Divorces by date of divorce, length of marriage and age and nationality of former spouses ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/100139-kanton-basel-stadt on 12 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset shows the divorces in Basel-Stadt by date of divorce, length of marriage, as well as by the age and nationality of the woman or man. The data shall be updated annually. Before 1984, only the total of divorces is available. In 2000, a new divorce law came into force. In 2010, this was adjusted. Until 2006, a divorce was counted in Basel-Stadt if the applicant was domiciled in Basel-Stadt. Since 2007, a divorce has been counted in Basel-Stadt if the man resides in Basel-Stadt, or if he lives abroad and the woman lives in Basel-Stadt. For methodological reasons, the values published here may differ from those in public statistics: In the latter, subsequently reported divorces are counted in the last year that has not yet been completed. In this record they are counted in the year of the divorce date..Source: Statistics on the natural population movement (BEVNAT) of the Federal Statistical Office (BFS).

--- Original source retains full ownership of the source dataset ---

Number of persons who married in a given year and age-specific marriage rate per 1,000 unmarried persons, by legal marital status, gender (when available) and place of occurrence, 1991 to most recent year.

Abstract

How Couples Meet and Stay Together (HCMST) is a study of how Americans meet their spouses and romantic partners.

• The study is a nationally representative study of American adults.
• 4,002 adults responded to the survey, 3,009 of those had a spouse or main
  romantic partner.
• The study oversamples self-identified gay, lesbian, and bisexual adults
• Follow-up surveys were implemented one and two years after the main survey, to study couple dissolution rates. Version 3.0 of the dataset includes two follow- up surveys, waves 2 and 3.
• Waves 4 and 5 are provided as separate data files that can be linked back to the main file via variable caseid_new.

The study will provide answers to the following research questions:

1. Do traditional couples and nontraditional couples meet in the same way? What kinds of couples are more likely to have met online?
2. Have the most recent marriage cohorts (especially the traditional heterosexual same-race married couples) met in the same way their parents and grandparents did?
3. Does meeting online lead to greater or less couple stability?
4. How do the couple dissolution rates of nontraditional couples compare to the couple dissolution rates of more traditional same-race heterosexual couples?
5. How does the availability of civil union, domestic partnership or same-sex marriage rights affect couple stability for same-sex couples? This study will provide the first nationally representative data on the couple dissolution rates of same-sex couples.

Methodology

Universe:

The universe for the HCMST survey is English literate adults in the U.S.

**Unit of Analysis: **

Individual

**Type of data collection: **

Survey Data

**Time of data collection: **

Wave I, the main survey, was fielded between February 21 and April 2, 2009. Wave 2 was fielded March 12, 2010 to June 8, 2010. Wave 3 was fielded March 22, 2011 to August 29, 2011. Wave 4 was fielded between March and November of 2013. Wave 5 was fielded between November, 2014 and March, 2015. Dates for the background demographic surveys are described in the User's Guide, under documentation below.

Geographic coverage:

United States of America

Smallest geographic unit:

US region

**Sample description: **

The survey was carried out by survey firm Knowledge Networks (now called GfK). The survey respondents were recruited from an ongoing panel. Panelists are recruited via random digit dial phone survey. Survey questions were mostly answered online; some follow-up surveys were conducted by phone. Panelists who did not have internet access at home were given an internet access device (WebTV). For further information about how the Knowledge Networks hybrid phone-internet survey compares to other survey methodology, see attached documentation.

The dataset contains variables that are derived from several sources. There are variables from the Main Survey Instrument, there are variables generated from the investigators which were created after the Main Survey, and there are demographic background variables from Knowledge Networks which pre-date the Main Survey. Dates for main survey and for the prior background surveys are included in the dataset for each respondent. The source for each variable is identified in the codebook, and in notes appended within the dataset itself (notes may only be available for the Stata version of the dataset).

Respondents who had no spouse or main romantic partner were dropped from the Main Survey. Unpartnered respondents remain in the dataset, and demographic background variables are available for them.

**Sample response rate: **

Response to the main survey in 2009 from subjects, all of whom were already in the Knowledge Networks panel, was 71%. If we include the the prior initial Random Digit Dialing phone contact and agreement to join the Knowledge Networks panel (participation rate 32.6%), and the respondents’ completion of the initial demographic survey (56.8% completion), the composite overall response rate is a much lower .326*.568*.71= 13%. For further information on the calculation of response rates, and relevant citations, see the Note on Response Rates in the documentation. Response rates for the subsequent waves of the HCMST survey are simpler, using the denominator of people who completed wave 1 and who were eligible for follow-up. Response to wave 2 was 84.5%. Response rate to wave 3 was 72.9%. Response rate to wave 4 was 60.0%. Response rate to wave 5 was 46%. Response to wave 6 was 91.3%. Wave 6 was Internet only, so people who had left the GfK KnowledgePanel were not contacted.

**Weights: **

See "Notes on the Weights" in the Documentation section.

Usage

When you use the data, you agree to the following conditions:

1. I will not use the data to identify individuals.
2. I will not charge a fee for the data if I distribute it to others.
3. I will inform the contact person abo

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.

The North Carolina State Center for Health Services (SCHS) collects yearly vital statistics. The Odum Institute holds vital statistics beginning in 1968 for births, fetal deaths, deaths, birth/infant deaths, marriages and divorce. Public marriage and divorce data are available through 1999 only.North Carolina law defines marriage as the legal union of a male and a female (G.S. 51-1). Legal divorce or annulment can occur only by decree of an authorized court. Annulments, which void marr iage from the beginning, constitute less than one percent of the sum of these events. This study focuses on North Carolina marriages for 1972. Data includes information on the age, race, previous marital status, and education of the bride and groom as well as the place, date and type of marriage. The data is strictly numerical, there is no identifying information given about the individuals.

This dataset presents statistics on divorce certificates issued to Qatari nationals, categorized by the type of relationship between spouses and the age groups of both husband and wife. The data spans from 2014 to 2022 and is extracted from the annual marriage and divorce bulletin. It supports social and demographic studies, enabling analysis of divorce trends by age and relationship, which can be valuable for policymakers and social researchers.