This World Marriage Dataset provides a comparable and up-to-date set of data on the marital status of the population by age and sex for 232 countries or different regions of the world from 1970 to 2019. There are 271605 rows and 9 columns in this dataset. Each row of the dataset represents a specific age group of men, either divorced or married or Single. The columns include:

Sr. No.: A serial number to identify each entry. Country: The country of focus. Age Group: The age range of the surveyed individuals. Sex: The gender of the surveyed individuals. Marital Status: The marital status of the individuals, categorized as either "Divorced" or "Married" or "Single". Data Process: The method used to collect the data. Data Collection (Start Year): The year when data collection began. Data Collection (End Year): The year when data collection ended. Data Source: The source of the data. This dataset helps to understand the marital status distribution among different age groups of men and women in all over the world from 1970 to 2019.

Number of People Never Married By Year

Number of People Never Married By Year in the US

By Andy Kriebel [source]

About this dataset

This dataset provides a comprehensive look at the changing trends in marriage and divorce over the years in the United States. It includes data on gender, age range, and year for those who have never been married – examining who is deciding to forgo tying the knot in today’s society. Diving into this data may offer insight into how life-changing decisions are being made as customs shift along with our times. This could be especially interesting when examined by generation or other trends within our population. Are young adults embracing or avoiding marriage? Has divorce become more or less common within certain social groups? Can recent economic challenges be related to changes in marital status trends? Take a look at this dataset and let us know what stories you find!

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How to use the dataset

This dataset contains surveys which explore the number of never married people in the United States, separated by gender, age range and year. You can use this dataset to analyze the trends in never married people throughout the years and see how it is affected by different demographics.

To make the most out of this dataset you could start by exploring the changes on different ages ranges and genders. Plotting how they differ along time might unveil interesting patterns that can help you uncover why certain groups are more or less likely to remain single throughout time. Understanding these trends could also help people looking for a life-partner better understand their own context as compared to others around them enabling them to make informed decisions about when is a good time for them to find someone special.

In addition, this dataset can be used to examine what acts as an enabler or deterrent for staying single within different couples of age ranges and genders across states. Does marriage look more attractive in any particular state? Are there differences between genders? Knowing all these factors can inform us about economic or social insights within society as well as overall lifestyle choices that tend towards being single or married during one's life cycle in different regions around United States of America.

Finally, with this information policymakers can construct efficient policies that better fit our country's priorities by providing programs designed based on specific characteristics within each group helping ensure they match preferable relationships while having access concentrated resources such actions already taken towards promoting wellbeing our citizens regarding relationships like marriage counseling services or family support centers!

Research Ideas

• Examine the differences in trends of ever-married vs never married people across different age ranges and genders.
• Explore the correlation between life decision changes and economic conditions for ever-married and never married people over time.
• Analyze how marriage trends differ based on region, socio-economic status, or religious beliefs to understand how these influence decisions about marriage

Acknowledgements

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

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Never Married.csv | Column name | Description | |:------------------|:--------------------------------------------------------| | Gender | Gender of the individual. (String) | | Age Range | Age range of the individual. (String) | | Year | Year of the data. (Integer) | | Never Married | Number of people who have never been married. (Integer) |

Acknowledgements

If you use this dataset in your research, please ...

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

The dataset contains the number of marriages categorized by the age groups of both the bride and the groom. Each record represents a combination of age groups for the bride and groom and the corresponding number of marriages for that combination. A marriage is the act, ceremony or process by which the legal relationship between two persons is formed. The legality of the union may be established by civil, religious or other means as recognised by the laws of the country.

Yearly registered marriages – breakdown by Month

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...

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

Annual population estimates by marital status or legal marital status, age and sex, Canada, provinces and territories.

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

SELECTED SOCIAL CHARACTERISTICS IN THE UNITED STATES MARITAL STATUS - DP02 Universe - Population 15 Year and over Survey-Program - American Community Survey 5-year estimates Years - 2020, 2021, 2022 The marital status question is asked to determine the status of the person at the time of interview. Many government programs need accurate information on marital status, such as the number of married women in the labor force, elderly widowed individuals, or young single people who may establish homes of their own. The marital history data enables multiple agencies to more accurately measure the effects of federal and state policies and programs that focus on the well-being of families. Marital history data can provide estimates of marriage and divorce rates and duration, as well as flows into and out of marriage. This information is critical for more refined analyses of eligibility for program services and benefits, and of changes resulting from federal policies and programs.

This table includes data on contracted marriages and registered partnerships among the Dutch population.

The following information is available: - Marriages by sex of the partners. - Marrying persons by sex and marital status before marriage. - Average age at marriage by sex and marital status. - Average number of contracted marriages by sex. - Partnership registrations by sex of the partners.

Data available from: 1950

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

Changes per 13 June 2025: Final figures of 2024 have been added.

When will new figures be published? Figures of 2025 will be added in the 2nd quarter of 2026.

This dataset presents annual statistics on registered marriages and divorces categorized by the husband's nationality. It includes both absolute numbers and percentage distributions over multiple years, offering insights into demographic patterns, marriage stability, and social trends. The data is valuable for researchers, policymakers, and analysts studying family dynamics and population changes.

Over 20 years, research was conducted at Boston College with the goal of exploring how couples adapt in relationships that last. In-depth interviews were used to explore how partners deal and cope with various aspects of their relationships over the years. Beginning in the early 1990's, the research focused on a diverse sample of heterosexual couples that had been married over 20 years. One hundred forty-four spouses in 72 marriages were interviewed. As the research evolved through the 1990's, 72 same sex partners from 36 lesbian and gay male relationships were added to the study. The final database includes 216 transcribed interviews. The study examines social influences including economic, racial, ethnic, and other cultural variables and areas such as modes of managing conflict and psychological intimacy. 1. Demographic data for individuals with coding for couples. Tab-delimited and SPSS format. 2. Qualitative Data – Includes transcribed interviews for the 216 participants and interview themes Interview themes are documents created with HyperRESEARCH in Word format with interview extracts based on relations themes such as: Aids; Alcoholism; Change; Circumstances; Commitment; Communication; Conflict; Conflict management; Crises; Decision making; Equity; Family of origin; Feminism; Finances; Homophobia; Initial attraction; Intimacy physical; Intimacy psychological; Intimacy sexual; Marital behavior; Meaning of spouse; Object relations; Parenting; Phases; Problem solving; Racism; Relatedness; Relational evolution; Relational fit; Relational value; Religion; Role expectations; Role models; Roles; Satisfaction; Social support; Therapy; Transitions.

This dataset compares birth, death and marriage registrations completed by the Office of the Registrar General, beginning in 1925, to the most current published annual report (2022). Data released for 2024 is preliminary and may not match counts from other sources. The data represents counts in the reference calendar quarters, which are collated approximately 90 days after the end of the quarter. Previously released counts for 2024 are updated to reflect vital event registrations completed after the release of the initial report. Each subsequent quarterly report is the cumulative total of the preceding quarterly reports. ServiceOntario’s ability to provide timely information depends on receiving vital event registration information from a variety of sources. The preliminary data presented may not represent all the events that occurred in the reporting period. This is particularly true for events that occurred near the end of the reporting period as they may not have been received by ServiceOntario by the time the data is collated. Final counts for the reporting year will be released with the publication of the Office of the Registrar General Annual Report. The Vital Statistics Act requires that after the end of each calendar year, the Registrar General publish a report that includes the number of births, marriages, deaths, still-births, adoptions and changes of name registered during the calendar year preceding the one that has ended.

Number of marriages and various nuptiality indicators (crude marriage rate, number of marriages of different-gender or same-gender couples [when available], total first-marriage rate and probability of ever marrying according to the first-marriage table), by place of occurrence, 1991 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

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.

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.

This data set contains counts of the total number of marriages by year, by the previous marital status of each spouse. The Office of the Registrar General (ORG) is responsible for maintaining vital statistics for the province of Ontario. The data provided represents the total number of completed registrations as of a specific date, tabulated or filtered by the given variables, and includes both residents and non-residents of Ontario (unless otherwise stated). This information is released in compliance with the Vital Statistics Act R.S.O. 1990, c. V. 4. Please note that the ORG does not guarantee the suitability, completeness or accuracy of the information.

This collection provides data on labor force activity for the week prior to the survey. Comprehensive data are available on the employment status, occupation, and industry of persons 14 years old and over. Also included are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. In addition, data pertaining to marital history and fertility are included in the file. Men who were ever married (currently widowed, divorced, separated, or married) aged 15 and over were asked the number of times married and if the first marriage ended in widowhood or divorce. Ever married women aged 15 and over were asked the number of times married, date of marriage, date of widowhood or divorce, and if divorced the date of separation of the household for as many as three marriages. Questions on fertility were asked of ever married women 15 years and over and never married women 18 years and over. These questions included number of liveborn children, and date of birth, sex, and current residence for as many as five children. In addition, women between the ages of 18 and 39 were asked how many children they expect to have during their remaining childbearing years. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08899.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.