In 2022, the marriage rate in the United States stood at *** per 1,000 people of the population. This is a decrease from 1990 levels, when the marriage rate was *** marriages per 1,000 people. Marriage Marriage is a union that can legally, culturally, and financially bind two people. Marriage occurs between all genders, races, and cultures, and is often drastically different all around the world, due to the diversity of cultures and religions. Marriage can be recognized by a state, religious authority, or an organization. Typically viewed as a contract, it brings people together through a multitude of avenues. A part of marriage is the wedding, for which couples can decide to partake in or not. Weddings are also incredibly diverse and vary in time, money, and customs. Marriage in the United States Marriage in the United States is viewed differently across all 50 states. The number of married couples in the United States has been steadily increasing since 1960. On the other hand, the divorce rate in the United States has decreased since 1990. Nevada was the state in 2021 that had the highest marriage rate in the United States, due to easy accessibility to get married there. In 2021, Nevada was also the state with the highest divorce rate in the country.

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.

In 2022, Nevada had the highest marriage rate in the United States, with **** marriages per 1,000 residents. Hawaii had the second-highest marriage rate, at **** marriages per 1,000 residents. The falling marriage rate Perhaps unsurprisingly, the marriage rate in the United States has fallen since 1990, although it has leveled off in the past decade. This means that fewer and fewer people are getting married than in years past, particularly as views about marriage have changed in the U.S. However, despite changing perceptions about marriage and a falling marriage rate, there were more married couples in the United States in 2021 than there were in 1960. First comes love, then comes marriage Weddings and marriage have changed in the United States recently as people have been staying single longer, and especially as gay marriage and interracial marriage have become more socially acceptable. The changing face of America means that love and relationships are changing as well, and what is socially acceptable within a relationship will continue to change with it.

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...

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.

Annual statistics on the number of marriages and marriage rates. Statistics are also included on the day, month and quarter of occurrence. Some tables provide data back to 1837.

Number of persons who married in a given year and age-specific marriage rate per 1,000 unmarried persons, by legal marital status, gender (when available) and place of occurrence, 1991 to most recent year.

In 2023, the marriage rate in Massachusetts stood at *** marriages per 1,000 residents. This was a slight increase from the previous year, when the marriage rate in the state stood at *** marriages per 1,000 residents.

Total first marriage rates and age-specific first marriage rates per 1,000 females, all marriages, by place of occurrence, 2000 to 2004.

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.

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

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.

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.

La Estadística de Matrimonios presenta información de los matrimonios civiles registrados en el país, por lo tanto, las uniones de hecho o por cualquier ti

In 2023, the marriage rate in Florida stood at * marriages per 1,000 residents. This was a notable increase from 2020, when the marriage rate stood at *** marriages per 1,000 residents in the state.

This report analyses the marriage rate in England and Wales. The figures represent the number of persons marrying per 1,000 people of all ages in each financial year. The data is sourced from the Office for National Statistics (ONS) in addition to estimates by IBISWorld. The data represents the marriage rate for both opposite and same-sex marriage, but excludes civil partnerships.

This layer shows current marital status. Counts broken down by sex. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. This layer is symbolized by the percentage of adults who are married. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B12001Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

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

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.

The dataset provides the general marriage rate for Qataris, categorized by nationality and gender, per 1,000 population aged 15 years and above. It includes data from 2014 to 2022, presenting marriage rates for both males and females, with specific values for each year. This information is essential for understanding trends in marriage behaviors within the Qatari population over time.