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.

Content

World Marriage Data 2012 provides a comparable and up-to-date set of data on the marital status of the population for all countries and areas of the world. Data are presented for the closest date available around five reference dates: the years closest to 1970, 1985, 1995, 2005 and the most recent data available.

Acknowledgements

I have pulled this data from the United Nations Data portal, did some simple post-processing to make it more user-friendly.

Inspiration

I primarily feel this data will be useful in conjunction with other datasets related to different disciplines wherein understanding the marriage trends will add value to the analysis.

Armenia Vital Statistics: Crude Marriage Rate: per 1000 Population data was reported at 5.100 Person in 2024. This records a decrease from the previous number of 5.500 Person for 2023. Armenia Vital Statistics: Crude Marriage Rate: per 1000 Population data is updated yearly, averaging 5.400 Person from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 6.500 Person in 2011 and a record low of 3.400 Person in 2000. Armenia Vital Statistics: Crude Marriage 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.

Jordan Vital Statistics: Marriages: Amman data was reported at 28,263.000 Person in 2017. This records a decrease from the previous number of 29,759.000 Person for 2016. Jordan Vital Statistics: Marriages: Amman data is updated yearly, averaging 19,153.500 Person from Dec 1986 (Median) to 2017, with 32 observations. The data reached an all-time high of 29,759.000 Person in 2016 and a record low of 6,001.000 Person in 1986. Jordan Vital Statistics: Marriages: Amman data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Jordan – Table JO.G006: Vital Statistics.

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.

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 ...

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...

Lebanon Vital Statistics: Marriages: Beirut data was reported at 328.000 Unit in Jan 2018. This records an increase from the previous number of 185.000 Unit for Dec 2017. Lebanon Vital Statistics: Marriages: Beirut data is updated monthly, averaging 359.000 Unit from Jan 2000 (Median) to Jan 2018, with 217 observations. The data reached an all-time high of 646.000 Unit in Aug 2008 and a record low of 56.000 Unit in Feb 2007. Lebanon Vital Statistics: Marriages: Beirut data remains active status in CEIC and is reported by Central Administration of Statistics. The data is categorized under Global Database’s Lebanon – Table LB.G002: Vital Statistics.

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.

Niger has the highest child marriage rate in the world among girls. According to the most recent data, in this West African country, more than three-fourths of girls aged under 18 were married, with nearly 30 percent of them being younger than 15 years old. The Central African Republic, Chad, and Mali followed behind with rates ranging from 61 to 54 percent. This issue is globally spread, particularly in African countries. In many of these countries, the legal age to get married is lower for females than for males. In Niger and Chad, for instance, the legal age is 15 years for females and 18 for males. In Guinea, instead, the legal age for marriage is 17 for females and 18 for males. Child marriage is often related to poverty, with poor families choosing to marry away their girls, both to earn money as a wedding gift and as this means fewer mouths to feed.

Age at First Marriage in America

The Effect of Population Density

By Andy Kriebel [source]

About this dataset

This dataset contains information on the median age at first marriage for women in the United States. The data is broken down by county, and includes information on population density, FIPS code, and county type

How to use the dataset

This dataset contains information on the age at first marriage for women in the United States. The data is broken down by state, county, and year. To use this dataset, you can choose to either download the entire dataset or select specific states, counties, and years of interest. If you select specific states, counties, and years of interest, be sure to filter the data accordingly

Research Ideas

To find out which states have the oldest or youngest median ages at first marriage. To understand how population density may affect the median age at first marriage. To compare the median age at first marriage across different types of counties

Acknowledgements

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: Median Age at First Marriage .csv | Column name | Description | |:---------------------------------|:---------------------------------------------------------------------------| | FIPS | The Federal Information Processing Standard code for each county. (String) | | Name | The name of the county. (String) | | Type | The type of county. (String) | | TimeFrame | The timeframe of the data. (String) | | Median Age | The median age at first marriage for women in the county. (Float) | | Population Density per Sq Mi | The population density of the county. (Float) |

Acknowledgements

If you use this dataset in your research, please credit Andy Kriebel.

Couples in the United States spend the most on weddings. As of 2019, a wedding in the United States cost on average 29.2 thousand U.S. dollars. Spain and Italy followed, with 23.4 thousand and 22.5 thousand U.S. dollars, respectively. The study is based on interviews of couples in 14 countries worldwide.

In 2022, there were around **** million marriages in the United States. This is an increase from the previous year, when about **** million marriages were registered in the country. The divorce rate in the United States can be accessed here.

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 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.

Statistics on marriages which took place in England and Wales which include figures on cohabitation before marriage. The cohort analyses provide statistics on the proportion of men and women who have ever married or remarried by certain ages by year of birth.

Vital Statistics: Marriages: North Lebanon data was reported at 834.000 Unit in Jan 2018. This records an increase from the previous number of 717.000 Unit for Dec 2017. Vital Statistics: Marriages: North Lebanon data is updated monthly, averaging 776.000 Unit from Jan 2000 (Median) to Jan 2018, with 217 observations. The data reached an all-time high of 1,329.000 Unit in Jul 2011 and a record low of 376.000 Unit in Feb 2003. Vital Statistics: Marriages: North Lebanon data remains active status in CEIC and is reported by Central Administration of Statistics. The data is categorized under Global Database’s Lebanon – Table LB.G002: Vital Statistics.

Cousin Marriage Data

There was a story on FiveThirtyEight.com about the prevalence of marriage to cousins in the United States. This is called Consanguinity and is defined as marriages between individuals who are second cousins or closer. The article included data put together in 2001 for a number of countries. The data source and the article are listed below.

The raw data behind the story Dear Mona: How Many Americans Are Married To Their Cousins? on FiveThirtyEight.com.

Link to FiveThirtyEight's public github repository.

Header | Definition

country | Country names

percent | Percent of marriages that are consanguineous

Source: cosang.net

Data flaws: While the data does compile older sources and some self-reported data, it does match the trends of more recent data based on global genomic data.

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).

Germany Vital Statistics: Marriage data was reported at 9,258.000 Person in Jan 2025. This records a decrease from the previous number of 25,035.000 Person for Dec 2024. Germany Vital Statistics: Marriage data is updated monthly, averaging 36,227.000 Person from Jan 1990 (Median) to Jan 2025, with 421 observations. The data reached an all-time high of 69,578.000 Person in Aug 2008 and a record low of 7,870.000 Person in Jan 2013. Germany Vital Statistics: Marriage data remains active status in CEIC and is reported by Statistisches Bundesamt. The data is categorized under Global Database’s Germany – Table DE.G003: Vital Statistics.