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.

The graph illustrates the yearly percentage of divorces compared to marriages in the United States from 2000 (‘00) to 2023 (‘23). The x-axis shows years in two-digit form, while the y-axis shows the divorce-to-marriage percentage. During this period, the divorce percentage ranged from a high of about 41.7% in 2002 to a low of around 32.6% in 2022. The overall trend reflects a gradual decline in annual divorces relative to marriages, though year-to-year fluctuations remain. These figures should be viewed as approximate estimates.

Number of persons who divorced in a given year and age-specific divorce rates per 1,000 legally married persons, by sex or gender and place of occurrence, 1970 to most recent year.

In 2022, the divorce rate in the United States stood at *** per 1,000 of the population. Divorce in the U.S. Divorce is the termination of a marital union. In the United States, as in most other countries, it is a legal process in which a judge or another legal authority dissolves the bonds of matrimony existing between two persons. The process of divorce also normally involves issues surrounding distribution of property, financial support of the former spouse, child custody and child support. A divorce also allows a person to marry again.In the United States, divorce is, like marriage, a matter for state governments, not the federal government. Although divorce laws vary from state to state, for example on which terms a divorce can be arranged, a divorce must be certified by a court of law to become effective. A declining divorce rate Over the last couple of years, both the marriage rate and the divorce rate have been declining in the United States. As of 2009, the average length of a first marriage in the U.S. was ***** years, while the average length of a second marriage was about ** years.

In 2023, *** marriages were registered per 1,000 inhabitants in Russia, compared to *** divorces per 1,000 population. The marriage rate in the country saw an increase compared to the previous year. In 2011, *** marriages were registered per 1,000 Russians, which was the highest number recorded over the period under consideration. What do marriage and divorce rates mean? The crude marriage rate refers to the number of marriages per one thousand population, according to the United Nations Population Division. In total, around ******* marriages were registered in Russia in 2023, while the country’s population was estimated at ***** million in that year. Another indicator relevant to Russian demographics is the crude divorce rate, which is the number of divorces recorded in a year per 1,000 population, as defined by the United Nations Population Division. In total, nearly ******* divorces were registered in Russia in 2023. What do Russians think of marriage? In every age category, most Russians believed that being married and living in a family was most preferable in the society. However, the share of family and marriage supporters was the lowest among 18-to-24-year-olds, measuring at ** percent. Both for men and women, the ideal age to get married was considered in a person’s twenties.

Data on marriages and divorces at national level are transmitted by the National Statistics Institutes on voluntary basis in the context of the annual demographic data collections in the field of demography carried out by Eurostat.

The POPSTAT (population statistics) questionnaire collects annual mandatory and voluntary demographic data from the National Statistical Institutes. It is the most in-depth annual national and regional demographic and migration data collection. The data relate to populations, births, deaths, immigrants, emigrants, marriages and divorces, and is broken down into several categories (Article 3 of Regulation (EU) No 1260/2013 and Article 3 of Regulation (EC) No 862/2007).

The completeness of the demographic data collected on a voluntary basis depends on the availability and completeness of information provided by the National Statistical Institutes.

The following statistics on marriages and divorces are collected from the National Statistical Institutes:

• Marriages by previous legal union status of marrying persons;
• First-time marrying persons by age, year of birth and sex;
• Marriages by country of citizenship of marrying persons;
• Marriages by country of birth of marrying persons;
• Divorces by duration and year of the marriage;
• Divorces by country of citizenship of spouses;
• Divorces by country of birth of spouses.

Statistics on marriages and divorces: based on the different breakdowns of data on marriages and divorces received, Eurostat produces the following:

• Statistics available in the online table Marriage indicators (demo_nind):
  • Total number of marriages;
  • Crude marriage rate;
  • Mean age at first marriage – male;
  • Mean age at first marriage – female;
  • Total first marriage rate – male;
  • Total first marriage rate – female;
  • Proportion of first marriages – male;
  • Proportion of first marriages – female.
• Statistics available in the online table Divorce indicators (demo_ndivind):
  • Total number of divorces;
  • Crude divorce rate;
  • Divorces per 100 marriages.

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.

Divorce data are published annually and unless otherwise stated refer to orders for dissolution of both marriage and civil union granted in New Zealand.

In 2024, the divorce rate of South Korean men aged 45 to 49 years was *** divorces per 1,000 men, which was the highest figure among all age groups. That year, the divorce rate in South Korea was *** divorces per 1,000 inhabitants.

This dataset explores marriage trends in India, comparing love marriages and arranged marriages across various demographic, social, and economic factors. I, capturing key aspects such as age at marriage, caste and religion dynamics, parental approval, dowry exchange, marital satisfaction, divorce rates, income levels, and urban-rural differences.

The dataset aims to provide valuable insights into changing marriage patterns, the role of tradition vs. modernity, and their impact on marital outcomes. Researchers, sociologists, and data analysts can use this dataset to study relationship trends, predict marriage success, and analyze social influences on marriage in India.

ID – Unique identifier

Marriage_Type – Love / Arranged

Age_at_Marriage – Age of the person at marriage

Gender – Male / Female

Education_Level – School / Graduate / Postgraduate / PhD

Caste_Match – Same / Different

Religion – Hindu / Muslim / Christian / Sikh / Others

Parental_Approval – Yes / No / Partial

Urban_Rural – Urban / Rural

Dowry_Exchanged – Yes / No / Not Disclosed

Marital_Satisfaction – Low / Medium / High

Divorce_Status – Yes / No

Children_Count – Number of children (0-5)

Income_Level – Low / Middle / High

Years_Since_Marriage – Number of years since marriage

Spouse_Working – Yes / No

Inter-Caste – Yes / No

Inter-Religion – Yes / No

Data on marriages and divorces at national level are transmitted by the National Statistics Institutes on voluntary basis in the context of the annual demographic data collections in the field of demography carried out by Eurostat.

The POPSTAT (population statistics) questionnaire collects annual mandatory and voluntary demographic data from the National Statistical Institutes. It is the most in-depth annual national and regional demographic and migration data collection. The data relate to populations, births, deaths, immigrants, emigrants, marriages and divorces, and is broken down into several categories (Article 3 of Regulation (EU) No 1260/2013 and Article 3 of Regulation (EC) No 862/2007).

The completeness of the demographic data collected on a voluntary basis depends on the availability and completeness of information provided by the National Statistical Institutes.

The following statistics on marriages and divorces are collected from the National Statistical Institutes:

• Marriages by previous legal union status of marrying persons;
• First-time marrying persons by age, year of birth and sex;
• Marriages by country of citizenship of marrying persons;
• Marriages by country of birth of marrying persons;
• Divorces by duration and year of the marriage;
• Divorces by country of citizenship of spouses;
• Divorces by country of birth of spouses.

Statistics on marriages and divorces: based on the different breakdowns of data on marriages and divorces received, Eurostat produces the following:

• Statistics available in the online table Marriage indicators (demo_nind):
  • Total number of marriages;
  • Crude marriage rate;
  • Mean age at first marriage – male;
  • Mean age at first marriage – female;
  • Total first marriage rate – male;
  • Total first marriage rate – female;
  • Proportion of first marriages – male;
  • Proportion of first marriages – female.
• Statistics available in the online table Divorce indicators (demo_ndivind):
  • Total number of divorces;
  • Crude divorce rate;
  • Divorces per 100 marriages.

United States Marriage Statistics

Marriage rates by gender, age group, and year in the United States (2005-2017)

By Throwback Thursday [source]

About this dataset

This dataset, titled United States Marriage Status 2005-2017, provides detailed information on marriage rates and population estimates in the United States. The data is sourced from the U.S. Census Bureau's American Community Survey 1-Year Estimates.

The dataset includes several key attributes that offer insights into different aspects of marriage status. These attributes include Year, Gender, Age Group, Metric, Estimated Percent, and Estimated Population.

The Year attribute represents the year in which the data was collected, spanning from 2005 to 2017. It allows for analysis of trends and changes in marriage rates over time.

The Gender attribute categorizes the population groups based on their gender. This information helps explore any variations or differences between male and female populations in terms of marital status.

Age Group attribute classifies individuals into specific age categories within the population. By segmenting the data based on age groups, it becomes possible to analyze how different age demographics contribute to overall marriage rates.

Metric serves as a descriptor for specific measurements or indicators being reported within this dataset. This attribute provides further context for understanding different aspects related to marriage status and its calculation methods.

Estimated Percent denotes the estimated percentage of a particular population group falling into a specific category related to marital status. It offers valuable insights into relative proportions within each demographic group.

Estimated Population showcases estimated count figures representing various subgroups' populations classified by gender, age groupings, and metric categories specified previously. These estimates allow researchers to explore potential correlations between population sizes and marriage rates across various segments of society over time period covered by this dataset.

Overall, this comprehensive United States Marriage Status dataset provides a valuable resource for analyzing trends in marriage rates while considering gender demographics, age distributions within these populations along with respective metrics indicating changes occurring over time periods marked since 2005 until 2017 (date-range excluding exact dates provided). By exploring relationships among these factors using reliable census data available through American Community Survey 1-Year Estimates, researchers can gain deep understanding of marriage status dynamics in the United States

How to use the dataset

• Understand the Columns:

  • Year: This column represents the year in which the data was collected. It provides a timeline for analyzing marriage trends over time.
  • Gender: This column categorizes individuals based on their gender, providing insights into marriage rates and patterns specific to each gender.
  • Age Group: This column categorizes individuals based on their age group. It allows for a detailed analysis of marriage rates and statistics among different age groups.
  • Metric: This column specifies the type of data or measurement being reported, providing clarity on what aspect of marriage is being analyzed.
  • Estimated Percent: This column represents the estimated percentage of individuals within a population group falling into a particular category. It quantifies marriage rates as percentages.
  • Estimated Population: This column provides an estimation of the total population count within a specific category, offering insights into the size and distribution of different population groups.

• Analyzing Trends: Use this dataset to analyze trends in US marriage statistics by leveraging various combinations of columns:

  • Gender vs Metric: Compare different metrics (e.g., number of marriages, divorce rate) between genders, allowing for an understanding of any gender-specific variations in marital trends.
  • Year vs Metric: Study changes in various metrics over time (e.g., changes in average age at first marriage), identifying trends and potential shifts in societal attitudes towards marriage.
  • Age Group vs Metric/Gender/Year: Examine how different age groups contribute to overall marital statistics (e.g., comparing divorce rates among different age groups or analyzing changes over time within specific age cohorts).

• Interpreting Results: When analyzing this dataset's results, keep these factors in mind:

  • Size Differences: Ensure you factor in the estimated population count for eac...

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.

There is no description for this dataset.

In 2023, the European country with the highest divorce rate per 100 marriages was Finland, with more than 55 divorces. At the bottom of the list was Ireland with only 15.5 divorces per 100 marriages.

Marriage and civil union statistics record the number of marriages and civil unions registered in New Zealand each year, and divorce statistics record the number of divorces granted in New Zealand each year.

Portugal was the European country with the highest divorce rate in 2020, counting almost 92 divorces per 100 marriages. However, in 2023, the divorce-marriage ratio decreased to 47 percent. In 2020, the ratio peaked because of the drop in marriages during the coronavirus (COVID-19) related lockdown. Pandemic years registered the lowest numbers of marriages and divorces since 2010 Until 2019, the annual divorce rate in Portugal had been relatively stable at around two divorces per 1,000 residents. Nevertheless, during the coronavirus (COVID-19) pandemic, the lowest divorce rate so far was recorded at 1.7, which may be explained by the restrictions imposed by lockdowns and the delays in administrative and bureaucratic services. Still, and due to the same reasons, the number of marriages also suffered a steep decline in 2020 to around 18,900, more than doubling in 2022 and surpassing 2011 figures. First marriages and motherhood occur later in life in Portugal The mean age on first marriage of both men and women in Portugal has been increasing at an almost constant pace for years. 2021 marked an inversion of this tendency, with the mean age of men when marrying for the first time decreasing to 34.3 years of age and the mean age of women decreasing to 32.9 years. However, the rising trend in age was quickly reestablished, as 2022 recorded the highest mean age on first marriage for both sexes. Under the same inclination is the average age of women when giving birth to their first child, which was at 30.9 years in 2021, increasing two years of age in relation to 2010.

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

Context

This dataset comes from the book Statistical Rethinking: A Bayesian Course with Examples in R and Stan

Content

Location : State name

Loc : State abbreviation

Population : 2010 population in millions

MedianAgeMarriage: 2005-2010 median age at marriage

Marriage : 2009 marriage rate per 1000 adults

Marriage.SE : Standard error of rate

Divorce : 2009 divorce rate per 1000 adults

Divorce.SE : Standard error of rate

WaffleHouses : Number of diners

South : 1 indicates Southern State

Slaves1860 : Number of slaves in 1860 census

Population1860 : Population from 1860 census

PropSlaves1860 : Proportion of total population that were slaves in 1860

Acknowledgements

All credit should go to Richard McElreath: https://xcelab.net/rm/statistical-rethinking/