The graph displays the divorce rate per 1,000 people in the United States from 2000 to 2022. The x-axis represents the years, labeled from '00 to '22, 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 2022, 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 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.

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

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.

Singapore Marriages Registered By Ethnic Group: UWC: Other Ethnic Groups data was reported at 69.000 Number in Sep 2018. This records a decrease from the previous number of 70.000 Number for Aug 2018. Singapore Marriages Registered By Ethnic Group: UWC: Other Ethnic Groups data is updated monthly, averaging 18.000 Number from Jan 1961 (Median) to Sep 2018, with 693 observations. The data reached an all-time high of 175.000 Number in Dec 2012 and a record low of 1.000 Number in Jan 2004. Singapore Marriages Registered By Ethnic Group: UWC: Other Ethnic Groups data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G007: Vital Statistics: Marriages & Divorces.

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.

Socially monogamous birds may break up their partnership by a so-called ’divorce’ behaviour. Divorce rate immensely varies across avian taxa that have a predominantly monogamous social mating system. Although a range of factors associated with divorce have been tested, broad-scale drivers of divorce rate remain contentious. Moreover, the impact of sexual roles in divorce still needs further investigation due to the conflicting interest of males and females. Here we applied phylogenetic comparative methods to analyse one of the largest datasets ever compiled that included divorce rates from published studies of 186 avian species from 25 orders and 61 families. We tested correlations between divorce rate and a group of factors: ‘promiscuity’ of both sexes (propensity of polygamy), migration distance, and adult mortality. Our results showed that only male promiscuity, but not female promiscuity, had a positive relationship with divorce rate. Furthermore, migration distance was positively correlated with divorce rate, while adult mortality rate showed no direct relationship with divorce rate. These findings indicated that divorce might not be a simple adaptive (by sexual selection) or non-adaptive strategy (by accidental loss of a partner), but could be a mixed response to sexual conflict and stress from the ambient environment. Methods We used data from Kenny et al. (2017), Liker et al. (2014), Botero et al. (2012), Handbook of the Birds of the World (https://birdsoftheworld.org) and other published literature (cited in the table). For migration distance, we used data from Delhey et al. 2021. Adult mortality rate was extracted from the AVONET database. Our final dataset contains 232 avian species from 25 orders and 61 families, and the number of species with the full dataset is 186.

Botero, C.A., Dustin, R. , & Rubenstein. (2012). Fluctuating environments, sexual selection and the evolution of flexible mate choice in birds. PLoS ONE, 7(2), e32311. 10.1371/journal.pone.0032311

Delhey, K. , Dale, J. , Valcu, M. , & Kempenaers, B. . (2021). Migratory birds are lighter coloured. Current Biology, 31(23), R1511-R1512. 10.1016/j.cub.2021.10.048

Kenny, K. , Birkhead, T. R. , & Green, J. P. (2017). Allopreening in birds is associated with parental cooperation over offspring care and stable pair bonds across years. Behavioral Ecology, 28(4), 1142-1148. 10.1093/beheco/arx078

Liker, A. , Freckleton, R. P. , & Székely, T. (2014). Divorce and infidelity are associated with skewed adult sex ratios in birds. Current Biology, 24, 880–884. 10.1016/j.cub.2014.02.059 Tobias, J.A., Sheard, C., Pigot, A.L., Devenish, A.J.M., Yang, J., Sayol, F., et al. (2022) AVONET: morphological, ecological and geographical data for all birds. Ecology Letters, 25, 581– 597. 10.1111/ele.13898

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.

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 beginning in 2006. The most recent dataset in the series is MD 2020.

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 recognizes 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 that were recoreded by the Department of Home Affairs and all divorce applications that were granted by the Department of Justice and Constitutional Development in 2020 in South Africa.

Kind of data

Administrative records data [adm]

Mode of data collection

Other

Data appraisal

Geography is problematic in this dataset as not all the data files have geographic data. The Civil Marriages and Civil Unions data files include a Province of Registration variable, but the Customary Marriages data file does not. There is also no geographical data in the Divorces file. As this data file includes divorce data from only a subset of divorce courts, this lack of geographical information compromises its usability.

Singapore Marriages Registered By Ethnic Group: UWC: Chinese data was reported at 1,256.000 Number in May 2018. This records an increase from the previous number of 759.000 Number for Apr 2018. Singapore Marriages Registered By Ethnic Group: UWC: Chinese data is updated monthly, averaging 1,305.000 Number from Jan 1961 (Median) to May 2018, with 689 observations. The data reached an all-time high of 4,667.000 Number in Jan 1974 and a record low of 127.000 Number in Aug 1961. Singapore Marriages Registered By Ethnic Group: UWC: Chinese data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G007: Vital Statistics: Marriages & Divorces.

Context

This dataset aims to study the population structure of Belgium based on various metrics as of December 2018

Content

The dataset contains the Following metrics: 1)MUNICIPALITY REFNIS CODE 2)MUNICIPALITY NAME 3)DISTRICT REFNIS CODE 4)DISTRICT NAME 5)PROVINCE REFNIS CODE 6)PROVINCE NAME 7)REGION REFNIS CODE 8)REGION NAME 9)GENDER 10)NATIONALITY 11)CIVIL CODE STATUS 12)AGE 13)POPULATION

Acknowledgements

This data has been published by Statbel ( Statistics-Belgium) under Open Data Policy. The dataset was originally in Dutch and French which was later translated to English.

Inspiration

There are many questions which we could try to answer using this dataset. 1) Age distribution of Belgium's population 2) Gender wise and Age wise Marital status of Belgium's population 3) Changing demographics of Belgium 4) Which Municipality/District/Province/Region has highest divorce rates ?

Description:

Explore a dataset that brings to light the intricate patterns of divorces across Bulgaria's diverse landscapes. Originally derived from the National Statistical Institute of Bulgaria, this collection has been meticulously refined to provide a clear, detailed perspective on marital dissolutions by region and residence type. It's a tool designed for researchers, policymakers, and anyone interested in the societal dynamics of Bulgaria.

DataTransformation:

I made some data transformation, so the dataset would be easier to use for you guys:

• Renaming Columns: I replaced cryptic labels with clear, descriptive titles. 'Updates' now reads as 'revision_number', instantly clarifying its role in tracking data versions.
• Decoding Regions: EKATTE codes were deciphered into their actual English names, offering immediate geographic context.
• Residence Reimagined: I transformed numerical codes into descriptive categories - 'Total', 'City/Urban', and 'Rural' - painting a clearer picture of each record's residential backdrop.
• Pruning the Excess: Columns that added little value were removed, focusing your attention on the most insightful data.

Inside the Dataset:

• revision_number: Tracks the version of each record, reflecting updates or changes.
• date: Indicates the year of the data entry.
• region: Names the specific Bulgarian region for each record.
• region_code: Retains the original EKATTE code for reference.
• Residence: Categorizes the residence setting as 'Total', 'City/Urban', or 'Rural'.
• divorce_count: Quantifies the number of divorces.

Acknowledgment:

This dataset is sourced from the National Statistical Institute of Bulgaria's open data portal. For further exploration of Bulgaria's statistical landscape, visit their official site.

Citation Guide:

When referencing this dataset in your work, please cite as "Bulgaria Divorce Statistics, National Statistical Institute of Bulgaria, [Year Range]. Enhanced for Analytical Clarity by Dimo Dimchev."

Disclaimer:

While I've made efforts to enhance the dataset's accessibility and interpretability, users should consider the context and collection methodology of the original data when drawing conclusions.

Armenia Vital Statistics: Year to Date: Crude Divorce Rate: per 1000 Population data was reported at 1.500 Person in Jun 2023. This stayed constant from the previous number of 1.500 Person for Mar 2023. Armenia Vital Statistics: Year to Date: Crude Divorce Rate: per 1000 Population data is updated quarterly, averaging 1.300 Person from Dec 2012 (Median) to Jun 2023, with 43 observations. The data reached an all-time high of 1.700 Person in Jun 2014 and a record low of 1.000 Person in Jun 2020. Armenia Vital Statistics: Year to Date: Crude Divorce 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.

Singapore Male Divorce Rate: Per 1000 Married Resident Males: 20 - 24 data was reported at 25.900 NA in 2017. This records a decrease from the previous number of 27.600 NA for 2016. Singapore Male Divorce Rate: Per 1000 Married Resident Males: 20 - 24 data is updated yearly, averaging 25.100 NA from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 42.700 NA in 2002 and a record low of 5.900 NA in 1980. Singapore Male Divorce Rate: Per 1000 Married Resident Males: 20 - 24 data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G007: Vital Statistics: Marriages & Divorces.

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.

Singapore Marriages Registered By Ethnic Group: UMLA: Indians data was reported at 14.000 Number in May 2018. This stayed constant from the previous number of 14.000 Number for Apr 2018. Singapore Marriages Registered By Ethnic Group: UMLA: Indians data is updated monthly, averaging 15.000 Number from Jan 1961 (Median) to May 2018, with 689 observations. The data reached an all-time high of 55.000 Number in Dec 1989 and a record low of 0.000 Number in Jun 2017. Singapore Marriages Registered By Ethnic Group: UMLA: Indians data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G007: Vital Statistics: Marriages & Divorces.

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.

Albania Vital Statistics: Divorces: per 100 Marriages data was reported at 15.800 % in 2021. This records a decrease from the previous number of 24.400 % for 2020. Albania Vital Statistics: Divorces: per 100 Marriages data is updated yearly, averaging 13.972 % from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 26.100 % in 2019 and a record low of 5.900 % in 1997. Albania Vital Statistics: Divorces: per 100 Marriages data remains active status in CEIC and is reported by Institute of Statistics. The data is categorized under Global Database’s Albania – Table AL.G003: Vital Statistics.

Vital Statistics: Japanese Only: Per 1000: Divorce Rate data was reported at 1.700 % in 2017. This records a decrease from the previous number of 1.730 % for 2016. Vital Statistics: Japanese Only: Per 1000: Divorce Rate data is updated yearly, averaging 1.280 % from Dec 1947 (Median) to 2017, with 71 observations. The data reached an all-time high of 2.300 % in 2002 and a record low of 0.730 % in 1963. Vital Statistics: Japanese Only: Per 1000: Divorce Rate data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G005: Vital Statistics.

Background: The reduction of child and adolescent deaths (defined as decedents aged 0–19 years) remains a crucial public health priority also in high-income countries such as Finland. There is evidence of a relationship between socioeconomic gradients and child mortality, but the association is considered complex and relatively poorly understood. Exploiting a Finnish dataset with nationwide coverage, the present study aimed to shed light on the sociodemographic predictors of child and adolescent mortality at the municipality level.Methods: A public database of Statistics Finland was queried for municipality-level data on sociodemographic traits and child and adolescent deaths in Finland during the years 2011–2018. The sociodemographic indicators included total population size, child and adolescent population size, sex distribution, mean age, education, unemployment, median income, population density, rurality, percentage of individuals living in their birth municipality, household size, overcrowded households, foreign language speakers, divorce rate, car ownership rate, and crime rate. The sociodemographic indicators were modeled against child and adolescent mortality by means of generalized estimating equations.Results: A total of 2,371 child and adolescent deaths occurred during the 8-year study period, yielding an average annual mortality rate of 26.7 per 100,000 individuals. Despite a fluctuating trend, the average annual decline in child and adolescent deaths was estimated to be 3% (95% confidence interval 1–5%). Of the sociodemographic indicators, population density was associated with higher child and adolescent mortality (rate ratio 1.03, 95% confidence interval 1.01–1.06), whereas the percentage of foreign language speakers was associated with lower child and adolescent mortality (0.96, 0.93–0.99).Conclusion: Densely populated areas should be the primary focus of efforts to reduce child and adolescent mortality. Of note is also the apparently protective effect of foreign language speakers for premature mortality. Future studies are welcomed to scrutinize the mediating pathways and individual-level factors behind the associations detected in this study.