In 2024, the most common reason given for divorcing in Indonesia among Muslim marriages was constant arguing, with around 251,125 divorces filed on that ground. Indonesia has the world's largest Muslim population, and for Muslims, divorce can be enacted either through petition through the courts, or through 'talak', which is the husband's right to end the marriage by pronouncing that he is divorcing the wife.

This graph depicts the distribution of the number of divorces in France in 2020, by reason of divorce. It appears that the majority of divorces were accepted.

Introduction

Divorce Statistics: Divorce is something that impacts many lives each year—not just the couple splitting up, but also kids, relatives, and even friends. Whether you're married, planning to get married, or want to learn more, looking at divorce stats can help you better understand today's relationships.

In this article, "Divorce Statistics," we'll break down key numbers: how often divorces occur, the top reasons people separate, how factors such as age, income, and location impact the decision, and how divorce rates vary around the world. These facts can help you make smarter choices when it comes to love, marriage, and long-term commitment.

Number of divorces, by reason of marital breakdown (separation for at least one year, adultery, physical cruelty, mental cruelty) and by place of occurrence, 2004 to 2005.

The decision of ending a marriage is not always easy, but almost 82 percent of Italians believed that sometimes it was necessary. When asked about the reason for getting separated or divorced, the majority of Italians indicated betrayal or infidelity causing their decision. The second most common motive, pointed by about 17.5 percent of the interviewees, was the fact that the love between the two spouses was over.

Divorces in Italy on the rise

The number of Italian couples deciding to end their marriage has increased over the last years. In 2017, the country registered roughly 15.1 divorces per every 10,000 inhabitants, about six divorces more than in 2010. The region where most spouses decided to split up was Liguria, with 21 divorces per 10,000 individuals.

The Portuguese and Luxembourgish divorce the most

With 48.7 divorces for every 100 marriages, Italy ranked right behind the European top ten countries with the highest divorce rates in 2016. The ranking was led by Portugal and Luxembourg, which in the year considered registered about 69 and 66 divorces for every 100 marriages, respectively.

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.

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

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 ---

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_f512c6cce898595684c55c7ef6aeeccb/view

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 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.

In 2023, the main reason for the divorce in Romania was the agreement of the parties, with 66.8 percent of cases. Other causes were considered to be infidelity, alcoholism, and physical violence.

Introduction

Divorce Statistics: Divorce is a significant issue for people worldwide, and it has been a point of conflict for centuries. Although divorce is legal in all 195 countries, there are still mixed beliefs about divorces and divorcees in 2 of those nations, regardless of religion or culture. It is an emotionally and mentally challenging experience for both partners. There are various reasons for divorce, including lack of commitment, religious or moral differences, domestic abuse, financial problems, infertility, and loss of intimacy.

Divorce occurs globally and is nearly as common as marriage. In this article, we will focus on divorce statistics.

Number of couples divorcing, divorce numbers and rates by age of husband and wife, and marital status before marriage.

Analysis of ‘Predicting Divorce’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/csafrit2/predicting-divorce on 28 January 2022.

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

Context

Answers to certain questions can provide key information regarding if a couple is likely to get divorced in the future.

Content

Attribute Information:

Questions are ranked on a scale of 0-4 with 0 being the lowest and 4 being the highest. The last category states if the couple has divorced.

1. If one of us apologizes when our discussion deteriorates, the discussion ends.
2. I know we can ignore our differences, even if things get hard sometimes.
3. When we need it, we can take our discussions with my spouse from the beginning and correct it.
4. When I discuss with my spouse, to contact him will eventually work.
5. The time I spent with my wife is special for us.
6. We don't have time at home as partners.
7. We are like two strangers who share the same environment at home rather than family.
8. I enjoy our holidays with my wife.
9. I enjoy traveling with my wife.
10. Most of our goals are common to my spouse.
11. I think that one day in the future, when I look back, I see that my spouse and I have been in harmony with each other.
12. My spouse and I have similar values in terms of personal freedom.
13. My spouse and I have similar sense of entertainment.
14. Most of our goals for people (children, friends, etc.) are the same.
15. Our dreams with my spouse are similar and harmonious.
16. We're compatible with my spouse about what love should be.
17. We share the same views about being happy in our life with my spouse
18. My spouse and I have similar ideas about how marriage should be
19. My spouse and I have similar ideas about how roles should be in marriage
20. My spouse and I have similar values in trust.
21. I know exactly what my wife likes.
22. I know how my spouse wants to be taken care of when she/he sick.
23. I know my spouse's favorite food.
24. I can tell you what kind of stress my spouse is facing in her/his life.
25. I have knowledge of my spouse's inner world.
26. I know my spouse's basic anxieties.
27. I know what my spouse's current sources of stress are.
28. I know my spouse's hopes and wishes.
29. I know my spouse very well.
30. I know my spouse's friends and their social relationships.
31. I feel aggressive when I argue with my spouse.
32. When discussing with my spouse, I usually use expressions such as ‘you always’ or ‘you never’ .
33. I can use negative statements about my spouse's personality during our discussions.
34. I can use offensive expressions during our discussions.
35. I can insult my spouse during our discussions.
36. I can be humiliating when we discussions.
37. My discussion with my spouse is not calm.
38. I hate my spouse's way of open a subject.
39. Our discussions often occur suddenly.
40. We're just starting a discussion before I know what's going on.
41. When I talk to my spouse about something, my calm suddenly breaks.
42. When I argue with my spouse, ı only go out and I don't say a word.
43. I mostly stay silent to calm the environment a little bit.
44. Sometimes I think it's good for me to leave home for a while.
45. I'd rather stay silent than discuss with my spouse.
46. Even if I'm right in the discussion, I stay silent to hurt my spouse.
47. When I discuss with my spouse, I stay silent because I am afraid of not being able to control my anger.
48. I feel right in our discussions.
49. I have nothing to do with what I've been accused of.
50. I'm not actually the one who's guilty about what I'm accused of.
51. I'm not the one who's wrong about problems at home.
52. I wouldn't hesitate to tell my spouse about her/his inadequacy.
53. When I discuss, I remind my spouse of her/his inadequacy.
54. I'm not afraid to tell my spouse about her/his incompetence. **

Acknowledgements

Relevant Papers:

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. Retrieved from [Web Link]

Citation Request:

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. Retrieved from [Web Link]

Inspiration

What are the key indicators for divorce? Which questions/factors are most significant when predicting divorce?

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

Sampling Procedure Comment: Simple random selection

Reasons that played a role in the most recent divorce or divorce for persons (sample) in the Netherlands who were 18-79 years old in 2013 and who were divorced between 2008 and 2013. The figures in this publication are based on the Family Formation Survey (OG) 2013. Respondents could give several reasons, so that the sum of the percentages could be more than one hundred percent. The percentages in the table should be interpreted with some caution. The figures relate to a weighted sample of the population. Of the more than 10 thousand respondents, 450 had experienced a divorce between 2008 and 2013. The percentages in the table are based on this group. Data available for 2013. Status of the figures All figures included in the table are final. Changes as of September 13, 2019: None, this table has been discontinued. When will new numbers come out? Not applicable anymore.

Reasons that played a role in the last (sample) divorce experienced in the Netherlands who were 18-79 years old in 2013 and divorced between 2008 and 2013.

The figures in this publication are based on the Research Family Formation (OG) 2013. Respondents were able to provide multiple reasons why the sum of the percentages could be more than one hundred percent.

The percentages in the table should be interpreted with some caution. The figures refer to a weighted sample of the population. Of the more than 10 thousand respondents, 450 had experienced divorce between 2008 and 2013. The percentages in the table are based on this group.

Data available for 2013.

Status of the figures All figures in the table are final.

Changes as of 13 September 2019: None, this table has been discontinued.

When will there be new figures? No longer applicable.

The graph illustrates the percentage of marriages that ended in divorce in the United States from the year 2000 ('00) to 2022 ('22). The x-axis represents the years, labeled with two-digit abbreviations from '00 to '22, while the y-axis displays the divorce rates as percentages. Throughout this period, divorce rates varied between a high of 41.7% in 2002 and a low of 32.62% in 2022. The data shows a notable decline in divorce rates over the two decades, with some fluctuations occurring in the early and mid-2000s. Overall, the trend indicates a steady decrease in the proportion of marriages ending in divorce in the United States from 2000 to 2022.