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.

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

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

Content

Marriage

This folder contains data behind the story Marriage Isn’t Dead — Yet.

Source for all data is Decennial Census (years 1960 to 2000) and American Community Survey (years 2001-2012), via IPUMS USA.

Except in the divorce file, figures represent share of the relevant population that has never been married (MARST == 6 in the IPUMS data). Note that in the story, charts generally show the share that have ever been married, which is simply 1 - n. In the divorce file, figures are share of the relevant population that is currently divorced, conditional on having ever been married.

Variable names are as follows. Number in variable names are age ranges, so all_2534 is the marriage rate for everyone ages 25 to 34.

Context

This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using GitHub's API and Kaggle's API.

This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

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

Context

This dataset aims to study the population structure of Belgium based on various metrics as of December 2018

Content

The dataset contains the Following metrics: 1)MUNICIPALITY REFNIS CODE 2)MUNICIPALITY NAME 3)DISTRICT REFNIS CODE 4)DISTRICT NAME 5)PROVINCE REFNIS CODE 6)PROVINCE NAME 7)REGION REFNIS CODE 8)REGION NAME 9)GENDER 10)NATIONALITY 11)CIVIL CODE STATUS 12)AGE 13)POPULATION

Acknowledgements

This data has been published by Statbel ( Statistics-Belgium) under Open Data Policy. The dataset was originally in Dutch and French which was later translated to English.

Inspiration

There are many questions which we could try to answer using this dataset. 1) Age distribution of Belgium's population 2) Gender wise and Age wise Marital status of Belgium's population 3) Changing demographics of Belgium 4) Which Municipality/District/Province/Region has highest divorce rates ?

The number of Iranians getting divorced are on the rise, according to the latest data from the country's Statistics Center.

While the number of marriages in Iran, too, increased during the period between 2019 and 2020 by 4.4%, reaching 556,731 cases, the divorce rates rose by 3.6%, reaching 183,193 cases.

This means that in 2020, for every 100 registered marriages, 32.9 divorces occurred.

According to the statistics reported in Iran's Report on the Social and Cultural Status, published in the fall of 2020, some 51,270 marriages that ended in divorce lasted between one to five years.

Furthermore, 11,715 marriages ended in divorce in just one year. On the other hand, 7,809 marriages of around 29 years were terminated.

In the 2020 report, neither a complete national nor a granular provincial marriage and divorce data has been published therefore data on this topic had to be sourced from other reports.

The latest statistical report on Iran’s divorce and marriage, categorized by province, is related to the first half of last year. This information was taken from the Civil Registration Organization of Iran’s website. This article analyzes this data.

The highest number of marriages, in the first half of 2020, happened in Tehran. During this period, 34,451 marriages were recorded in this province while the lowest number of marriages, namely 1,914 marriages, was recorded in the same period in Semnan province.

The highest number of divorces, in the first half of 2020, was recorded in the Tehran province. During this period, 15,303 divorces were recorded.

Ilam province has the lowest number of divorces, in the same time period, which was 388 cases.

The numerical quantity of marriage and divorce cases is not a good basis for comparison because of the population differences between provinces. Accurate and proportional comparison requires careful consideration of the province’s population that are being compared.

Adding the population variable to this data changes some of the provincial marriage and divorce rankings.

Statistical source:

https://www.amar.org.ir/%D9%BE%D8%A7%DB%8C%DA%AF%D8%A7%D9%87-%D9%87%D8%A7-%D9%88-%D8%B3%D8%A7%D9%85%D8%A7%D9%86%D9%87-%D9%87%D8%A7/%D8%B3%D8%B1%DB%8C%D9%87%D8%A7%DB%8C-%D8%B2%D9%85%D8%A7%D9%86%DB%8C/agentType/ViewType/PropertyTypeID/1938

Divorce (also known as dissolution of marriage) is the process of terminating a marriage or marital union. Divorce usually entails the canceling or reorganizing of the legal duties and responsibilities of marriage, thus dissolving the bonds of matrimony between a married couple under the rule of law of the particular country or state. Divorce laws vary considerably around the world, but in most countries, divorce requires the sanction of a court or other authority in a legal process, which may involve issues of distribution of property, child custody, alimony (spousal support), child visitation/access, parenting time, child support, and division of debt. In most countries, monogamy is required by law, so divorce allows each former partner to marry another person.

According to a recent survey of 191 CDFA professionals from across North America, the three leading causes of divorce are "basic incompatibility" (43%), "infidelity" (28%), and "money issues" (22%).

In this dataset, we can spot facts about divorces, and trends across countries - continents. Mainly we have the marriage, divorce rates and the percentage score as well as numbers of divorces (given by the source and year as provided).

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 begining in 2006. The most recent dataset in the series is MD 2023.

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 recognises 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, civil unions and customary 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 2023 in South Africa.

Kind of data

Administrative records

Mode of data collection

Other

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.

Singapore Marriages Registered By Ethnic Group: UWC: Other Ethnic Groups data was reported at 69.000 Number in Sep 2018. This records a decrease from the previous number of 70.000 Number for Aug 2018. Singapore Marriages Registered By Ethnic Group: UWC: Other Ethnic Groups data is updated monthly, averaging 18.000 Number from Jan 1961 (Median) to Sep 2018, with 693 observations. The data reached an all-time high of 175.000 Number in Dec 2012 and a record low of 1.000 Number in Jan 2004. Singapore Marriages Registered By Ethnic Group: UWC: Other Ethnic Groups data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G007: Vital Statistics: Marriages & Divorces.

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Quick Start 🚀: If you're not up for reading all of this, head straight to the file section. There, you'll find detailed explanations of the files and all the variables you need.

About Dataset

The Divorce Predictors Scale (DPS) dataset is derived from a study focused on predicting divorce using the DPS within the framework of Gottman couples therapy. The dataset comprises responses collected from participants, consisting of both divorced and married couples.

Content:

The dataset includes two main components: 1. Personal Information Form: This section contains demographic and personal details provided by the participants. 2. Divorce Predictors Scale (DPS): Participants completed the DPS, which consists of items related to various aspects of relationships, including creating a common meaning, failed attempts to repair, love map, and negative conflict behaviors.

Attributes:

The dataset features the following attributes: - Participant ID: Unique identifier for each participant. - Marital Status: Indicates whether the participant is divorced or married. - Demographic Information: Includes age, gender, education level, and other relevant demographic factors. - Responses to DPS Items: Each item of the DPS is represented as a separate attribute, providing insight into the participants' perceptions and behaviors related to marital dynamics.

However, the dataset released by the researchers includes ONLY the questions, responses, and the marital status (married or divorced).

Potential Uses:

1. Predictive Modeling: The dataset lends itself to predictive modeling tasks aimed at forecasting divorce based on DPS responses and demographic information.
2. Feature Selection: Researchers can explore feature selection techniques to identify the most significant predictors of divorce within the DPS.
3. Counseling and Therapy Applications: Professionals in the field of family counseling and therapy can utilize the DPS dataset to inform case formulation and intervention planning.

Significance:

The DPS dataset offers valuable insights into the predictive capabilities of the scale in identifying marital discord and potential divorce risk factors. Moreover, its confirmation in a Turkish sampling context underscores its potential applicability across different cultural settings.

Limitations:

1. Sample Bias: The dataset may exhibit biases inherent in the participant selection process.
2. Generalizability: Findings derived from the dataset may not be universally applicable and should be interpreted with consideration for cultural and contextual differences.

Availability:

The DPS dataset is available for public use on Kaggle, providing researchers and practitioners with access to valuable data for exploring marital dynamics and divorce prediction.

Deep Dive into dataset

information regarding this dataset was extracted from the paper titled "divorce prediction using correlation based feature selection and artificial neural networks," which utilized the dataset in question.

Here are some additional insights that could be beneficial for data scientists working with this dataset:

1. Uses: Researchers could explore how predictive factors evolve over time within marriages, providing deeper insights into the dynamics of relationship deterioration.

2. Combination of Predictors: Gottman highlights the combination of predictors such as the "four horsemen" (Criticism, Contempt, Stonewalling, Defensiveness) along with failed repair attempts as highly indicative of future divorce. Data scientists could investigate interactions between these predictors to uncover synergistic or antagonistic relationships that enhance or diminish divorce prediction accuracy.

3. Behavioral Dynamics: The study emphasizes the importance of observing couples' behaviors and reactions during conflict, suggesting that even a few minutes of interaction following an argument can provide insight into the likelihood of divorce. This emphasis on real-time behavioral observations suggests the potential for time-series analysis of behavioral data within the dataset, capturing moment-to-moment dynamics preceding divorce.

4. Quality of Friendship: Gottman and Silver suggest that the quality of friendship between spouses significantly influences marital satisfaction and longevity. Data scientists could explore measures of friendship quality within the DPS dataset and assess their predictive power regarding divorce outcomes. This could involve developing novel features or indices to quantify friendship quality based on DPS responses.

5. Cultural Context: The introduction highlights the rising divorce rates in Turkey an...

Singapore Marriages Registered By Ethnic Group: UMLA: Indians data was reported at 14.000 Number in May 2018. This stayed constant from the previous number of 14.000 Number for Apr 2018. Singapore Marriages Registered By Ethnic Group: UMLA: Indians data is updated monthly, averaging 15.000 Number from Jan 1961 (Median) to May 2018, with 689 observations. The data reached an all-time high of 55.000 Number in Dec 1989 and a record low of 0.000 Number in Jun 2017. Singapore Marriages Registered By Ethnic Group: UMLA: Indians data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G007: Vital Statistics: Marriages & Divorces.

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 begining 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 recognises 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

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 2021 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.

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.

Armenia Vital Statistics: Crude Divorce Rate: per 1000 Population data was reported at 1.500 Person in 2024. This stayed constant from the previous number of 1.500 Person for 2023. Armenia Vital Statistics: Crude Divorce Rate: per 1000 Population data is updated yearly, averaging 1.100 Person from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 1.500 Person in 2024 and a record low of 0.400 Person in 2000. Armenia Vital Statistics: Crude Divorce Rate: per 1000 Population data remains active status in CEIC and is reported by Statistical Committee of the Republic of Armenia. The data is categorized under Global Database’s Armenia – Table AM.G003: Vital Statistics.

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.

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.

Singapore Marriages Registered By Ethnic Group: UWC: Chinese data was reported at 1,256.000 Number in May 2018. This records an increase from the previous number of 759.000 Number for Apr 2018. Singapore Marriages Registered By Ethnic Group: UWC: Chinese data is updated monthly, averaging 1,305.000 Number from Jan 1961 (Median) to May 2018, with 689 observations. The data reached an all-time high of 4,667.000 Number in Jan 1974 and a record low of 127.000 Number in Aug 1961. Singapore Marriages Registered By Ethnic Group: UWC: Chinese data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G007: Vital Statistics: Marriages & Divorces.

IntroductionDivorce is one of the harshest realities in Eastern societies worldwide because it is an intact component of the elementary social institution of the family. Grievously, divorce rates are escalating with profound ramifications for divorcees in Asia, including Pakistan. Therefore, exploring the challenges after divorce with gender-based dimensions in the Pakistani context was necessary, particularly in Hazara Division.Research methodologyThe study followed a pragmatic approach through snowball sampling and recruited 75 respondents. The data were collected through a semi-structured questionnaire and analysed using IBM SPSS 25. For descriptive statistics, frequencies of quantitative responses were determined using percentages, means, and standard deviations. Then Chi-Square Test of Independence, Principal Component Analysis, and Multivariate Analysis of Covariance were performed to find an association between the dependent and independent variables.ResultsResults demonstrated that most divorcees face children-related issues followed by economic, social, and psychological issues that impede post-divorce adjustment of divorcees. Results showed that the immaturity of divorcees and gender-specific violence specifically for women make it challenging for them to cope with the situation and impede their growth after divorce. Results revealed that more than half of women and a few of men have custody of children after divorce; however, fight over custody of children is another major cause of delayed adjustment. Results presented that gender significantly influences women’s intensity of post-divorce adjustment constraints.ConclusionTherefore, it is concluded that regardless of gender, ongoing conflicts with ex-spouses or in-laws made the post-divorce adjustment of divorcees difficult. Divorcees are in a constant tug-of-war between fighting internal dilemmas, pursuing individualistic ideals, and fulfilling societal norms, values, and expectations. This battle complicates and prolongs their adjustments after divorce. The study suggests that institutional, psychosocial, and family support is critical to proactively relieve divorcees from resources and their children.