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.

Dataset Card for Marriage and Divorce Dataset

  Dataset Summary

This data contains 31 columns (100x31). The first 30 columns are features (inputs), namely Age Gap, Education, Economic Similarity, Social Similarities, Cultural Similarities, Social Gap, Common Interests, Religion Compatibility, No of Children from Previous Marriage, Desire to Marry, Independency, Relationship with the Spouse Family, Trading in, Engagement Time, Love, Commitment, Mental Health, The Sense of… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/marriage-and-divorce-dataset.

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

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

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.

Abstract

Ever been heart broken and/or wondered what makes a lasting relationship? This dataset may help you.

About this dataset

This dataset contains data about 150 couples with their corresponding Divorce Predictors Scale variables (DPS) on the basis of Gottman couples therapy. The couples are from various regions of Turkey wherein the records were acquired from face-to-face interviews from couples who were already divorced or happily married. All responses were collected on a 5 point scale (0=Never, 1=Seldom, 2=Averagely, 3=Frequently, 4=Always).

How to use

• Predict divorce events
• Explore predictive factors that lead to divorce
• More datasets

Acknowledgements

If you use this dataset in your research, please credit the authors.

Citation

Yöntem, M , Adem, K , İlhan, T , Kılıçarslan, S. (2019). DIVORCE PREDICTION USING CORRELATION BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORKS. Nevşehir Hacı Bektaş Veli University SBE Dergisi, 9 (1), 259-273. (link)

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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.

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.

This table includes the most important key figures on marriage dissolutions due to death and divorce among the registered population of the Netherlands. Excluding dissolutions due to ending registered partnerships.

Data available from: 1950

Status of the figures: All data recorded in this table are final data.

Changes per 1 July 2025: Data of 2024 have been added.

When will new figures be published? In the third quarter of 2026 final figures of 2025 will be added in this publication.

Analysis of ‘Divorce Prediction’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/andrewmvd/divorce-prediction on 30 September 2021.

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

Abstract

Ever been heart broken and/or wondered what makes a lasting relationship? This dataset may help you.

About this dataset

This dataset contains data about 150 couples with their corresponding Divorce Predictors Scale variables (DPS) on the basis of Gottman couples therapy. The couples are from various regions of Turkey wherein the records were acquired from face-to-face interviews from couples who were already divorced or happily married. All responses were collected on a 5 point scale (0=Never, 1=Seldom, 2=Averagely, 3=Frequently, 4=Always).

How to use

• Predict divorce events
• Explore predictive factors that lead to divorce
• More datasets

Acknowledgements

If you use this dataset in your research, please credit the authors.

Citation

Yöntem, M , Adem, K , İlhan, T , Kılıçarslan, S. (2019). DIVORCE PREDICTION USING CORRELATION BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORKS. Nevşehir Hacı Bektaş Veli University SBE Dergisi, 9 (1), 259-273. (link)

License

License was not specified at the source.

Splash icon

Icon by Freepik available on Flaticon

Splash banner

Photo by Kelly Sikkema on Unsplash

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

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 and percentage of divorces, by type of spouse (husband, wife), marital status (single-never married, widowed, divorced) of husband and wife just prior to marriage, and place of occurrence, 2004 to 2005.

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).

This qualitative study explored incidents of sexual assault of women by former husbands or cohabitants and the link to male peer support for sexually aggressive men in rural Ohio. Sexual assault was defined as unwanted sexual contact, sexual coercion, attempted rape, or rape. A series of screening questions were asked to determine a respondent's eligibility for inclusion in the study. The main criteria were being aged 18 or older and having ever had any type of unwanted sexual experience when they wanted to end, were trying to end, or after they had ended a relationship with a husband or live-in male partner. If they met the selection criteria, the women were invited to a semi-structured face-to-face interview at a time and place of their choosing. Between February 2003 and July 2004, 43 women were interviewed. The interviews included several demographic questions such as income, level of education, marital status, length of the relationship, and how long the respondent had lived in the area. Other questions asked about the unwanted sexual experiences, social support networks, and male pornography use.

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.

Socially monogamous birds may break up their partnership by a so-called ’divorce’ behaviour. Divorce rate immensely varies across avian taxa that have a predominantly monogamous social mating system. Although a range of factors associated with divorce have been tested, broad-scale drivers of divorce rate remain contentious. Moreover, the impact of sexual roles in divorce still needs further investigation due to the conflicting interest of males and females. Here we applied phylogenetic comparative methods to analyse one of the largest datasets ever compiled that included divorce rates from published studies of 186 avian species from 25 orders and 61 families. We tested correlations between divorce rate and a group of factors: ‘promiscuity’ of both sexes (propensity of polygamy), migration distance, and adult mortality. Our results showed that only male promiscuity, but not female promiscuity, had a positive relationship with divorce rate. Furthermore, migration distance was positively correlated with divorce rate, while adult mortality rate showed no direct relationship with divorce rate. These findings indicated that divorce might not be a simple adaptive (by sexual selection) or non-adaptive strategy (by accidental loss of a partner), but could be a mixed response to sexual conflict and stress from the ambient environment. Methods We used data from Kenny et al. (2017), Liker et al. (2014), Botero et al. (2012), Handbook of the Birds of the World (https://birdsoftheworld.org) and other published literature (cited in the table). For migration distance, we used data from Delhey et al. 2021. Adult mortality rate was extracted from the AVONET database. Our final dataset contains 232 avian species from 25 orders and 61 families, and the number of species with the full dataset is 186.

Botero, C.A., Dustin, R. , & Rubenstein. (2012). Fluctuating environments, sexual selection and the evolution of flexible mate choice in birds. PLoS ONE, 7(2), e32311. 10.1371/journal.pone.0032311

Delhey, K. , Dale, J. , Valcu, M. , & Kempenaers, B. . (2021). Migratory birds are lighter coloured. Current Biology, 31(23), R1511-R1512. 10.1016/j.cub.2021.10.048

Kenny, K. , Birkhead, T. R. , & Green, J. P. (2017). Allopreening in birds is associated with parental cooperation over offspring care and stable pair bonds across years. Behavioral Ecology, 28(4), 1142-1148. 10.1093/beheco/arx078

Liker, A. , Freckleton, R. P. , & Székely, T. (2014). Divorce and infidelity are associated with skewed adult sex ratios in birds. Current Biology, 24, 880–884. 10.1016/j.cub.2014.02.059 Tobias, J.A., Sheard, C., Pigot, A.L., Devenish, A.J.M., Yang, J., Sayol, F., et al. (2022) AVONET: morphological, ecological and geographical data for all birds. Ecology Letters, 25, 581– 597. 10.1111/ele.13898

This data set shows the number of labour force by marital status for all states in Malaysia for year 1982 until 2021. The statistics is derived from Labour Force Survey (LFS) which is conducted every month using household approach. Labour force refers to those who during the reference week of LFS, are in the 15-64 years age group and who are either employed or unemployed. Marital status is categorised as follows: a. Never married Refers to those who have never been married at the time of interview. b. Married Refers to persons who are currently married at the time of interview. The term, ‘married’ includes those married by law or by religious rites or are living together by mutual agreement. c. Widowed Refers to those who have not remarried after the death of the spouses at the time of interview. d. Divorced/permanently separated Refers to those whose marriages were annulled through divorce by law or religious arrangement or separated for a long duration without any possibility of reconciliation. W.P. Labuan is gazzeted as a Federal Territory in 1984 while W.P. Putrajaya is gazzeted as a Federal Territory in 2001. The statistics for W.P. Putrajaya for 2001-2010 is treated as part of Selangor. Statistics for W.P. Putrajaya is available separately since 2011 onwards. LFS was not conducted during the years 1991 and 1994. Total includes unknown marital status No. of Views : 762

Vital Statistics: Japanese Only: Per 1000: Divorce Rate data was reported at 1.700 % in 2017. This records a decrease from the previous number of 1.730 % for 2016. Vital Statistics: Japanese Only: Per 1000: Divorce Rate data is updated yearly, averaging 1.280 % from Dec 1947 (Median) to 2017, with 71 observations. The data reached an all-time high of 2.300 % in 2002 and a record low of 0.730 % in 1963. Vital Statistics: Japanese Only: Per 1000: Divorce Rate 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.G005: Vital Statistics.

Abstract

Marriage data: In South Africa Civil Marriages are administered through the Marriage Act, 1961 (Act No. 25 of 1961) as amended, and its associated regulations. Customary marriages are governed by the Recognition of Customary Marriages Act, 1998 (Act No. 120 of 1998) which came into effect on 15 November 2000. Civil unions (relationships between same-sex couples that are legally recognized by a state authority) are covered by the Civil Union Act, 2006 (Act No. 17 of 2006) which came into operation on 30 November 2006.

The South African Department of Home Affairs is responsible for the administration of marriages in South Africa, under these laws. After the ceremony of a marriage or a civil union, the marriage officer submits the data to the nearest office of the Department of Home Affairs (DHS), where the marriage / civil union details for citizens and permanent residents are recorded in the National Population Register (NPR). Statistics South Africa obtains data on marriages and civil unions from DHA through the State Information Technology Agency (SITA) for this dataset.

NOTE: In customary marriages, the two spouses and their witnesses present themselves at a DHA office in order to register a customary marriage. Therefore the province of registration is not necessarily the province of the place of usual residence of the couple since the registration of the marriage can take place in any DHA office.

Divorce data: The dissolution of registered marriages and civil unions is governed by the Divorce Act, 1979 as amended, and its associated regulations (Act No.70 of 1979) and the Jurisdiction of Regional Courts Amendment Act, 2008 (Act No. 32 of 2008) as amended which came into effect on 9 August 2010. The South African Department of Justice and Constitutional Development (DJCD) is responsible for managing divorces under these Acts. Statistics South Africa obtains the divorce data from the DJCD for this dataset.

NOTE: The data includes divorce applications that were concluded in 2012, that is, that were finalised and issued with decrees of divorce in 2012 by DJCD.

Geographic coverage

The data has 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 2012 in South Africa.

Kind of data

Administrative records

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.

Abstract

The Marriages and Divorces (MD) dataset is one of three primary sources 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 2019.

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 recorded by the Department of Home Affairs and all divorce applications that were granted by the Department of Justice and Constitutional Development in 2019 in South Africa.

Kind of data

Administrative records data [adm]

Mode of data collection

Other [oth]

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.