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.

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

The graph displays the divorce rate per 1,000 people in the United States from 2000 to 2023. The x-axis represents the years, labeled from '00 to '23, while the y-axis indicates the divorce rate per 1,000 individuals. The divorce rate starts at 4.0 per 1,000 in 2000 and 2001, which are the highest values in the dataset. Over the years, there is a general downward trend, with the rate decreasing to 2.3 per 1,000 in 2020, the lowest point recorded. In 2021 and 2023, the rate slightly fluctuates, rising to 2.5 and then decreasing to 2.4 per 1,000 respectively. The data highlights a consistent decline in the divorce rate over the 22-year period.

Number of divorces and divorce rate per 1,000 marriages, by duration of marriage 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.

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 shows the number of labour force by marital status for all states in Malaysia for year 1982 until 2021. The statistics is derived from Labour Force Survey (LFS) which is conducted every month using household approach. Labour force refers to those who during the reference week of LFS, are in the 15-64 years age group and who are either employed or unemployed. Marital status is categorised as follows: a. Never married Refers to those who have never been married at the time of interview. b. Married Refers to persons who are currently married at the time of interview. The term, ‘married’ includes those married by law or by religious rites or are living together by mutual agreement. c. Widowed Refers to those who have not remarried after the death of the spouses at the time of interview. d. Divorced/permanently separated Refers to those whose marriages were annulled through divorce by law or religious arrangement or separated for a long duration without any possibility of reconciliation. W.P. Labuan is gazzeted as a Federal Territory in 1984 while W.P. Putrajaya is gazzeted as a Federal Territory in 2001. The statistics for W.P. Putrajaya for 2001-2010 is treated as part of Selangor. Statistics for W.P. Putrajaya is available separately since 2011 onwards. LFS was not conducted during the years 1991 and 1994. Total includes unknown marital status No. of Views : 826

This data set shows the number of employed persons by marital status for all states in Malaysia. The statistics is derived from Labour Force Survey (LFS) which is conducted every month using household approach.

Employed persons are those between the working age of 15-64 years old who at any time during the reference week of LFS had worked at least one hour for pay, profit or family gain (as an employer, employee, own-account worker or unpaid family worker).

Marital status is categorised as follows:

a. Never married Refers to those who have never been married at the time of interview.

b. Married Refers to persons who are currently married at the time of interview. The term, ‘married’ includes those married by law or by religious rites or are living together by mutual agreement.

c. Widowed Refers to those who have not remarried after the death of the spouses at the time of interview.

d. Divorced/permanently separated Refers to those whose marriages were annulled through divorce by law or religious arrangement or separated for a long duration without any possibility of reconciliation.

W.P. Labuan is gazzeted as a Federal Territory in 1984 while W.P. Putrajaya is gazzeted as a Federal Territory in 2001. The statistics for W.P. Putrajaya for 2001-2010 is treated as part of Selangor. Statistics for W.P. Putrajaya is available separately since 2011 onwards.

LFS was not conducted during the years 1991 and 1994.

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.

Key Table Information.Table Title.Allocation of Divorced in the Past 12 Months for the Population 15 Years and Over.Table ID.ACSDT1Y2024.B99122.Survey/Program.American Community Survey.Year.2024.Dataset.ACS 1-Year Estimates Detailed Tables.Source.U.S. Census Bureau, 2024 American Community Survey, 1-Year Estimates.Dataset Universe.The dataset universe of the American Community Survey (ACS) is the U.S. resident population and housing. For more information about ACS residence rules, see the ACS Design and Methodology Report. Note that each table describes the specific universe of interest for that set of estimates..Methodology.Unit(s) of Observation.American Community Survey (ACS) data are collected from individuals living in housing units and group quarters, and about housing units whether occupied or vacant. For more information about ACS sampling and data collection, see the ACS Design and Methodology Report..Geography Coverage.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year.Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Sampling.The ACS consists of two separate samples: housing unit addresses and group quarters facilities. Independent housing unit address samples are selected for each county or county-equivalent in the U.S. and Puerto Rico, with sampling rates depending on a measure of size for the area. For more information on sampling in the ACS, see the Accuracy of the Data document..Confidentiality.The Census Bureau has modified or suppressed some estimates in ACS data products to protect respondents' confidentiality. Title 13 United States Code, Section 9, prohibits the Census Bureau from publishing results in which an individual's data can be identified. For more information on confidentiality protection in the ACS, see the Accuracy of the Data document..Technical Documentation/Methodology.Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Weights.ACS estimates are obtained from a raking ratio estimation procedure that results in the assignment of two sets of weights: a weight to each sample person record and a weight to each sample housing unit record. Estimates of person characteristics are based on the person weight. Estimates of family, household, and housing unit characteristics are based on the housing unit weight. For any given geographic area, a characteristic total is estimated by summing the weights assigned to the persons, households, families or housing units possessing the characteristic in the geographic area. For more information on weighting and estimation in the ACS, see the Accuracy of the Data document.Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, ...

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

The data were collected in 2020 and they are related to Tuscany.

There are 15 columns and 27573 rows in the dataset. The columns are the following: Year, Postal Code, Town, Province, Age, Unmarried Men, Married Men, Divorced Women, Widowed Man, Total # Of Males, Unmarried Women, Married Women, Divorced Men, Widowed Women, Total # Of Females.

Inspiration

You can perform an exploratory data analysis of the data, working with Pandas or Numpy. Interesting visualizations can be performed too using, for instance, Python libraries to reproduce multivariate plots, frequency plots for each feature, plots that show marital status per age etc. Furthermore, it could be very useful for people who want to practice SQL or queries using Pandas.

Remember to upvote if you found the dataset useful :).

Collection methodology

The data were fetched from the following link: https://dati.toscana.it/dataset/popolazione-residente-in-toscana-per-eta-sesso-e-stato-civile-anno-2020/resource/2b480e62-cfca-437c-b060-a06ad4e3996a. Some of the columns in the original dataset were removed since majority of rows contained missing values and they were not so indicative. Some columns were transformed from object data type to integer, missing values indicated with .. were filled with the integer '0' and the headers were translated to English.

Divorce can be an important behavioral strategy to improve fitness. This is particularly relevant for species that are territorial year-round with continuous partnerships, where individuals face constraints on partner choice due to limited vacancies and dispersal opportunities. We tested several hypotheses for divorce in such a species, the cooperatively breeding bird Malurus coronatus. Based on 9 years of detailed information on dispersal and survival of 317 breeding pairs, we tested whether divorce is driven by inbreeding avoidance, by a better partner or territory, or by social variables (number of subordinates and fidelity of partners). We found that divorce is important to escape incest: incestuous pairs were substantially more likely to divorce (64%) than non-incestuous pairs (14%). However, incestuous pair bonds lasted up to a year, highlighting constraints on breeder dispersal. Non-incestuous pairs also divorced, but here the only predictor for divorce was the presence of extrapair offspring in a previous brood. Although reproductive failure did not trigger divorce, and reproductive success did not improve in the year following divorce, females that dispersed after divorce obtained higher quality territories, unlike females that dispersed after their partner died. Thus, divorce may be a strategy to improve long-term benefits associated with better territories. Some divorces appeared to be forced evictions by older females, although direct evidence for this is limited. Taken together, our findings demonstrate the complexity of factors that affect the occurrence of divorce when partner choice is constrained.

This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by legal partnership status, by sex and by age. The estimates are as at Census Day, 21 March 2021.

Separate estimates by opposite and same-sex partnerships for the marital status categories “Separated”, “Divorced/dissolved” and “Widowed/surviving partners” are not available. This is because quality assurance showed the figures for some of the categories were unreliable. Read more about this quality notice.

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Marital and civil partnership status

Classifies a person according to their legal marital or registered civil partnership status on Census Day 21 March 2021.

It is the same as the 2011 census variable "Marital status" but has been updated for Census 2021 to reflect the revised Civil Partnership Act that came into force in 2019.

In Census 2021 results, "single" refers only to someone who has never been married or in a registered civil partnership.

Sex

This is the sex recorded by the person completing the census. The options were “Female” and “Male”.

Age

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age.

The dataset consists of 17 texts, written by men aged 25-64 who were living without a steady relationship. In the invitation to write, men who were living without a steady relationship either of their own will or for other reasons were asked to describe their experiences and perceptions regarding the matter as extensively as possible. The participants could, for example, be divorced or widowed, or have no experience of steady relationships. The participants were asked to discuss how they experienced living without a steady relationship and what sources of joy and sorrow they had in their life. They were also asked to consider what they thought the reasons were for them living without a steady relationship. Additionally, the writing guidelines prompted the respondents to describe how they would want society to take into account those who are living without a steady relationship. Background information included the respondent's gender, age and how long they had been living without a steady relationship. The data were organised into an easy to use HTML version at FSD. The dataset is only available in Finnish.

Dataset population: Persons aged 16 and over

Age

Age is derived from the date of birth question and is a person's age at their last birthday, at 27 March 2011. Dates of birth that imply an age over 115 are treated as invalid and the person's age is imputed. Infants less than one year old are classified as 0 years of age.

Marital and civil partnership status

Marital and civil partnership status classifies an individual according to their legal marital or registered same-sex civil partnership status as at census day, 27 March 2011.

This topic is the equivalent of the 2001 Census topic 'Marital status', but has undergone significant revision to take account of the Civil Partnership Act which came into force on 5 December 2005.

Marital and civil partnership states include:

• Married/in a registered same-sex civil partnership
• Separated (but still legally married/in a registered same-sex civil partnership)
• Divorced/formerly in a registered same-sex civil partnership
• Widowed/surviving same-sex civil partner

Although the term 'single' is widely used to cover people in a number of states such as divorced or separated, it is not a legally recognised status and was not an option on the census questionnaire. In census results the term 'single' is used to refer only to someone who has never been married or in a registered same-sex civil partnership, which were options on the census questionnaire.

Many animals form long-term monogamous pair-bonds, and the disruption of a pair-bond (through either divorce or widowhood) can have significant consequences for individual vital rates (survival, breeding, and breeding success probabilities) and life-history outcomes (lifetime reproductive success, life expectancy). Here, we investigated the causes and consequences of pair-bond disruption in wandering albatross (Diomedea exulans). State-of-the-art statistical and mathematical approaches were developed to estimate divorce and widowhood rates and their impacts on vital rates and life-history outcomes. In this population, females incur a higher mortality rate due to incidental fishery bycatch, hence the population is male-skewed. Therefore, we first posited that males show higher widowhood rates negatively correlated with fishing effort, and females have higher divorce rates because they have more mating opportunities. Furthermore, we expected that divorce can be an adaptive strategy, whereby individuals improve breeding success by breeding with a new partner of better quality. Finally, we posited that pair-bond disruptions can reduce survival and breeding probabilities due to the cost of remating processes, with important consequences for life-history outcomes. As expected, we show that males have higher widowhood rates than females and females have higher divorce rates in this male-skewed population. However, no correlation was found between fishing effort and male widowhood. Secondly, contrary to our expectation, we found that divorce is likely non-adaptive in this population. We propose that divorce in this population is caused by an intruder who outcompetes the original partner in line with the "forced divorce" hypothesis. Furthermore, we found a 16.7% and 18.0% reduction in lifetime reproductive success (LRS) only for divorced and widowed males, respectively, due to missing breeding seasons after a pair-bond disruption. Finally, we found that divorced individuals are more likely to divorce again, but whether this is related to specific individual characteristics remains an important area of investigation.

Description of data processing: This file includes: (1) observation events data; (2) E-surge GEPAT (Generator of pattern of elementary matrices) code for fitting MULTIEVENT-CAPTURE-MARK-RECAPTURE (MECMR) models; and (3) pair-bond status and breeding success data to perform all the analysis described in Sun et al. (2022, Ecological Monographs)

This dataset provides Census 2022 estimates for living arrangements (7 Groups) by age (5 Groups) in Scotland.

Age

A person’s age on Census day (20 March 2022) calculated from their date of birth. Infants less than one year old are classed as being 0 years of age. Details of classification can be found here

Living arrangements

The ‘living arrangements’ classification combines responses to the question on marital and civil partnership status with information about whether or not a person is living in a couple. This classification is only applicable to people in households.

Living arrangements differs from marital and civil partnership status because cohabiting takes priority over other categories. For example, if a person is divorced and cohabiting, then in results for living arrangements they are classified as cohabiting. Details of classification can be found here

The quality assurance report can be found here

This dataset provides Census 2021 estimates that classify usual residents in communal establishments in England and Wales by legal partnership status, by sex, and by age. The estimates are as at Census Day, 21 March 2021.

Separate estimates by opposite and same-sex partnerships for the marital status categories “Separated”, “Divorced/dissolved” and “Widowed/surviving partners” are not available. This is because quality assurance showed the figures for some of the categories were unreliable. Read more about this quality notice.

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Marital and civil partnership status

Classifies a person according to their legal marital or registered civil partnership status on Census Day 21 March 2021.

It is the same as the 2011 census variable "Marital status" but has been updated for Census 2021 to reflect the revised Civil Partnership Act that came into force in 2019.

In Census 2021 results, "single" refers only to someone who has never been married or in a registered civil partnership.

Sex

This is the sex recorded by the person completing the census. The options were “Female” and “Male”.

Age (D)

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age. Age is categorised as follows:

• Aged 15 years and under
• Aged 16 to 24 years
• Aged 25 to 34 years
• Aged 35 to 49 years
• Aged 50 to 64 years
• Aged 65 to 69 years
• Aged 70 to 74 years
• Aged 75 to 79 years
• Aged 80 to 84 years
• Aged 85 to 89 years
• Aged 90 years and over