Between same-sex marriage being legalized in England and Wales on March 29, 2014 and December 31, 2022, there have been 55,613 same-sex marriages. Of these, 32,240 same-sex marriages were between two women, and 23,,373 were between two men.

In the period from 2014 to 2024, the number of divorces from same-sex marriages and registered partnerships in Finland fluctuated. In 2024, the number of divorces among female couples was 89, while the corresponding figure among male couples was 29. During the same year, a total of 425 same-sex marriages were formed in Finland. Same-sex marriage became legal in Finland after an amendment to the Marriage Act entered into force on 1 March 2017. Since then, over 3,300 couples have tied the knot. From 2002 to 2017, registration of partnership was available for same-sex couples.

In 2023, Tokyo Prefecture registered 5.3 new marriages per 1,000 inhabitants, down from about 5.6 marriages in the previous year. The marriage rate did not exceed six marriages per 1,000 in 2020 for the first time in the last decade.

In 2021, the number of marriages in Tunisia stood at 12.1 per 1,000 inhabitants. From 2014 onwards, the marriage rate decreased annually (except in 2021), concurrently with the decline in the total number of marriages celebrated in the country.

This information is the "Marriage Overview" statistical monthly indicator data of the Chiayi City Statistical Database query system of the Directorate-General of Budget, Accounting and Statistics, with monthly statistics starting from 2014.

Abstract

Marriage data: In South Africa Civil Marriages are administered through the Marriage Act, 1961 (Act No. 25 of 1961) as amended, and its associated regulations. Customary marriages are governed by the Recognition of Customary Marriages Act, 1998 (Act No. 120 of 1998) which came into effect on 15 November 2000. Civil unions (relationships between same-sex couples that are legally recognized by a state authority) are covered by the Civil Union Act, 2006 (Act No. 17 of 2006) which came into operation on 30 November 2006.

The South African Department of Home Affairs is responsible for the administration of marriages in South Africa, under these laws. After the ceremony of a marriage or a civil union, the marriage officer submits the data to the nearest office of the Department of Home Affairs (DHS), where the marriage / civil union details for citizens and permanent residents are recorded in the National Population Register (NPR). Statistics South Africa obtains data on marriages and civil unions from DHA through the State Information Technology Agency (SITA) for this dataset.

NOTE: In customary marriages, the two spouses and their witnesses present themselves at a DHA office in order to register a customary marriage. Therefore the province of registration is not necessarily the province of the place of usual residence of the couple since the registration of the marriage can take place in any DHA office.

Divorce data: The dissolution of registered marriages and civil unions is governed by the Divorce Act, 1979 as amended, and its associated regulations (Act No.70 of 1979) and the Jurisdiction of Regional Courts Amendment Act, 2008 (Act No. 32 of 2008) as amended which came into effect on 9 August 2010. The South African Department of Justice and Constitutional Development (DJCD) is responsible for managing divorces under these Acts. Statistics South Africa obtains the divorce data from the DJCD for this dataset.

NOTE: The data includes divorce applications that were concluded in 2014, that is, that were finalised and issued with decrees of divorce in 2014 by DJCD.

Geographic coverage

The data has 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 2014 in South Africa.

Kind of data

Administrative records

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.

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.

This graph shows the marital status of the U.S. population aged 15 years and older in 2014, by race and ethnic origin. That year, about 8.08 million people of Asian origin who were living in the United States, were married.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the .Technical Documentation.. section......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..Source: U.S. Census Bureau, 2014-2018 American Community Survey 5-Year Estimates.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..Marriage estimates may vary from the marriage data released by the National Center for Health Statistics (NCHS) because of differences in methodology and data collection. NCHS uses information collected on marriage certificates from states providing them. From these administrative records, NCHS then publishes information about couples who married in a calendar year. In contrast, the ACS collects survey-based reports from individuals as to whether or not they married in the last 12 months. We recommend using caution when comparing the NCHS estimates to the ACS estimates of marriages..While the 2014-2018 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:..An "**" entry in 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..An "-" entry in the estimate column indicates that 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, or the margin of error associated with a median was larger than the median itself..An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution..An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution..An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An "(X)" means that the estimate is not applicable or not available....

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Data and Documentation section...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..Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau''s Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties..Explanation of Symbols:An ''**'' entry in 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..An ''-'' entry in the estimate column indicates that 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..An ''-'' following a median estimate means the median falls in the lowest interval of an open-ended distribution..An ''+'' following a median estimate means the median falls in the upper interval of an open-ended distribution..An ''***'' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate..An ''*****'' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. .An ''N'' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small..An ''(X)'' means that the estimate is not applicable or not available..Estimates of urban and rural population, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..While the 2014 American Community Survey (ACS) data generally reflect the February 2013 Office of Management and Budget (OMB) definitions of metropolitan and micropolitan statistical areas; in certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB definitions due to differences in the effective dates of the geographic entities..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 Accuracy of the Data). The effect of nonsampling error is not represented in these tables..Source: U.S. Census Bureau, 2014 American Community Survey 1-Year Estimates

The North Carolina State Center for Health Services (SCHS) collects yearly vital statistics. The Odum Institute holds vital statistics beginning in 1968 for births, fetal deaths, deaths, birth/infant deaths, marriages and divorce. Public marriage and divorce data are available through 1999 only.This study focuses on deaths in North Carolina in 2014. Death is defined as the permanent disappearance of any evidence of life at any time after live birth. This definition excludes fetal death s. The data kept for deaths includes the age, race, marital status, and sex of the individual; date, time, cause and location of death; and mode of burial. Minor changes to the files beginning in 2014 reflect the release of an updated NC Death Certificate form in that year.The data are strictly numerical; there is no identifying information given about the individuals.

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

On May 17, 2013, France became the 9th European country and the 14th country in the world to allow gay marriage. Only a few days after the legalization, the first same-sex marriage was celebrated in the southern city of Montpellier. The number of homosexual marriages reached a record number of more than 10,000 unions in 2014. Only a year after the legalization of same-sex marriage, the enthusiasm of couples who were not previously allowed to marry each other was still high. In 2024, approximately 7,000 same-sex marriages were celebrated.

United States US: Unmet Need for Contraception: % of Married Women Aged 15-49 data was reported at 9.000 % in 2014. This records an increase from the previous number of 8.000 % for 2010. United States US: Unmet Need for Contraception: % of Married Women Aged 15-49 data is updated yearly, averaging 6.000 % from Dec 1988 (Median) to 2014, with 7 observations. The data reached an all-time high of 9.000 % in 2014 and a record low of 4.000 % in 1988. United States US: Unmet Need for Contraception: % of Married Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.; ; Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.; Weighted Average; Unmet need for contraception measures the capacity women have in achieving their desired family size and birth spacing. Many couples in developing countries want to limit or postpone childbearing but are not using effective contraception. These couples have an unmet need for contraception. Common reasons are lack of knowledge about contraceptive methods and concerns about possible side effects.

This survey shows the attitude of people from different age groups towards homosexual marriages in Great Britain in 2014. The average approval of homosexual marriage by all age groups was 69 percent. There was a clear increase of disapproval as the respondents age increased and correspondingly, a decrease in approval.

Egypt EG: Women Who were First Married by Age 18: % of Women Aged 20-24 data was reported at 17.400 % in 2014. This records an increase from the previous number of 16.600 % for 2008. Egypt EG: Women Who were First Married by Age 18: % of Women Aged 20-24 data is updated yearly, averaging 19.000 % from Dec 1988 (Median) to 2014, with 8 observations. The data reached an all-time high of 30.500 % in 1988 and a record low of 16.600 % in 2008. Egypt EG: Women Who were First Married by Age 18: % of Women Aged 20-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank: Population and Urbanization Statistics. Women who were first married by age 18 refers to the percentage of women ages 20-24 who were first married by age 18.; ; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), AIDS Indicator Surveys(AIS), Reproductive Health Survey(RHS), and other household surveys.; ;

Population: Number of Marriages: Guangdong data was reported at 632,192.000 Case in 2023. This records an increase from the previous number of 573,050.000 Case for 2022. Population: Number of Marriages: Guangdong data is updated yearly, averaging 731,674.500 Case from Dec 1999 (Median) to 2023, with 24 observations. The data reached an all-time high of 891,457.000 Case in 2014 and a record low of 497,000.000 Case in 2002. Population: Number of Marriages: Guangdong 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.