In 2022, there were 67.85 million married men and 68.45 million married women living in the United States. This is compared to 3.7 million widowed men and 11.48 million widowed women.

Marriage in the United States

Nevada had the highest marriage rate in the United States in 2021, followed by Hawaii and Montana. This can be attributed to marriage accessibility in the state. Las Vegas weddings are known for being quick, easy, and inexpensive chapel weddings. In comparison to the cheap weddings available in Las Vegas, the average expenditure for a wedding in the United States was the highest in New Jersey, clocking in at 51,000 U.S. dollars.

Same-sex marriage

The number of Americans who think that same-sex marriage should be recognized by law has more than doubled since 1996, while the number of Americans who think it should not be valid has decreased. It was not until June 26, 2015 that the United States Supreme Court legalized same-sex marriage in all 50 states. Before then, it was up to the states to decide if they allowed same-sex marriage. States in the Southeast are the most opposed to same-sex marriage, whereas the strongest support comes from Northern coastal states.

Taiwan Population: Civilian: Age 15 and Over: Never Married data was reported at 7,285.000 Person th in Oct 2018. This records an increase from the previous number of 7,208.000 Person th for Sep 2018. Taiwan Population: Civilian: Age 15 and Over: Never Married data is updated monthly, averaging 6,115.000 Person th from Jan 1995 (Median) to Oct 2018, with 285 observations. The data reached an all-time high of 7,319.000 Person th in Nov 2017 and a record low of 4,939.000 Person th in Jan 1995. Taiwan Population: Civilian: Age 15 and Over: Never Married data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G007: Labour Force Survey: Population: By Age and Marital Status.

The share of married Hungarian population decreased from 45.7 percent in 2010 to 43 percent in 2024. Furthermore, 35 percent of Hungarians had never married as of January 1, 2024.

Married Indians accounted for the highest share of the population at over ** percent during the survey year 2024. On the other hand, over ** percent of the population were never married. This share was higher among women compared to men during the same period.

Taiwan Population: Civilian: Female: Age 15 and Over: Never Married data was reported at 3,423.000 Person th in Jun 2018. This records an increase from the previous number of 3,364.000 Person th for May 2018. Taiwan Population: Civilian: Female: Age 15 and Over: Never Married data is updated monthly, averaging 2,819.000 Person th from Jan 1995 (Median) to Jun 2018, with 281 observations. The data reached an all-time high of 3,492.000 Person th in Nov 2017 and a record low of 2,228.000 Person th in Jan 1995. Taiwan Population: Civilian: Female: Age 15 and Over: Never Married data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G008: Labour Force Survey: Population: By Age and Marital Status.

's Never-married population (15 and over, female)is 55,820person which is the 46th highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Shimane and Kochi(Kochi) and Tottori(Tottori)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

In 2019, the death rate for all causes among married individuals in the U.S. was around 747 deaths per 100,000 population. In comparison, the death rate among those who were never married was around 1,423 per 100,000 population. This statistic depicts death rates for all causes among adults aged 25 years and older in the United States in 2010 and 2019, by marital status.

As of January 2024, nearly three million people in Denmark had never been married. The second highest number of people were either married or separated, amounting to about 2.15 million people, which was slightly higher than in 2023. On the other hand, more than 560,000 people were divorced, while around 286,000 were widowed.

The total never married population aged 15 years and older as percentage of the total population aged 15 years and older.Data Source: Lao Population and Housing Census 2015Contact: Ministry of Planning and Investment, Lao Statistics Bureau, Dongnasokneua Village, Sikhottabong District, Vientiane Capital Email: lstats@lsb.gov.la ; Tel: (+85621) 214740, Fax: (+86521) 242022ຈຳນວນພົນລະເມືອງທັງໝົດ ທີ່ບໍ່ເຄີຍແຕ່ງງານມີອາຍຸ 15 ປີຂຶ້ນໄປເປັນເປີເຊັນຂອງ ຈຳນວນພົນລະເມືອງທັງໝົດ ທີ່ມີອາຍຸ 15 ປີຂຶ້ນໄປ.ການສຳຫລວດສຳມະໂນປະຊາກອນ 2015ກະຊວງແຜນການ ແລະ ການລົງທຶນ, ສູນສະຖິຕິແຫ່ງຊາດ ບ້ານດົງນາໂຊກເໜືອ, ເມືອງສີໂຄດຕະບອງ, ແຂວງນະຄອນຫລວງວຽງຈັນ. ໂທ: (+856 21)214740, ແຟັກ: (+856 21)242022. ອີເມລວ: lstats@lsb.gov.la

's Never-married population (15 and over, female)is 177,975person which is the 21st highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Tochigi and Gunma(Gunma) and Okayama(Okayama)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

's Never-married population (15 and over, male)is 158,349person which is the 29th highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Iwate and Aomori(Aomori) and Oita(Oita)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

's Never-married population (15 and over, male)is 91,636person which is the 43rd highest in Japan (by Prefecture). Transition Graphs and Comparison chart between Fukui and Saga(Saga) and Tokushima(Tokushima)(Closest Prefecture in Population) are available. Various data can be downloaded and output in csv format for use in EXCEL free of charge.

In 2018, ** percent of women in Nigeria aged 15 to 49 years were married, while ** percent of them never married. Data on the marital status of men show that women were more likely to marry. Indeed, the share of men who never married exceeded ** percent as of 2018.

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.

Explore Saudi Arabia's population breakdown by age groups, gender, and marital status. This dataset includes information on males and females, along with those who are divorced, married, never married, or widowed.

Males, Divorced, Married, Never Married, Females, Widowed, Marital Status, Gender, Male, Female, Age group

Saudi Arabia

Qatar had the lowest marriage rate in the world as of 2018, with 1.4 marriages per every 1,000 population. French Guiana followed with one marriage more than Qatar (2.4). Thereafter, Peru and Venezuela counted 2.5 and 2.6 marriages per 1,000 inhabitants, ranking third and fourth, respectively. By contrast, West Bank and Gaza, Fiji, and Egypt had the highest marriage rates worldwide in that same year.

In 2020, about **** percent of the male population and **** percent of the female population in Japan were unmarried at the age of 50. The unmarried rate at 50 for both genders steadily **** since 1990.

In 2006, for the first time in Canadian history, there were more unmarried persons aged 15 years and over than legally married people. Just over one-half of Canada’s population aged 15 years and over (51.5%) was unmarried; that is, they had never been legally married (34.9%), or they were divorced (8.0%), widowed (6.2%) or separated (3.0%). Legally married people formed slightly less than half (47.9%) of the population. Twenty years earlier, 61.4% of the population aged 15 years and over was legally married, while 38.6% were unmarried. Although the proportions of widowed and separated persons have remained relatively stable over the past two decades, increases have occurred largely among the divorced and, even more so, among the single (never legally married) population.

In 2006, 49.4% of males and 46.5% of females aged 15 years and over were legally married (and not separated), while 2.7% of the males and 3.2% of the females were separated, but still legally married. The male and female proportions for divorced people were 7.2% and 8.8% respectively. The gender gaps in the widowed and never married categories were larger: 2.5% of males and 9.7% of females were widowed while 38.2% of males, but only 31.8% of females were never legally married. In the case of the never married population 15 years of age and over, the highest proportions occurred in Quebec (46.8% of men and 40.0% of women), and the three territories (Yukon: 46.6% of men and 40.7% of women; Northwest Territories: 54.4% of men and 49.4% of women; and Nunavut: 63.4% of men and 59.2% of women). On the other hand, the sexual divergence of rates between males and females never legally married was highest in Alberta (37.7% of males versus 30.4% for females or a 7.3% difference) and Saskatchewan (36.6% of males versus 29.3% for females or a 7.3% spread). For the widowed population, this disparity was most pronounced for Saskatchewan (2.7% widowers versus 11.6% widows or an almost 9% difference). The map shows by census division the marital status of the population 15 years of age and over by gender.

Abstract

The primary objective of the 2012 Indonesia Demographic and Health Survey (IDHS) is to provide policymakers and program managers with national- and provincial-level data on representative samples of all women age 15-49 and currently-married men age 15-54.

The 2012 IDHS was specifically designed to meet the following objectives: • Provide data on fertility, family planning, maternal and child health, adult mortality (including maternal mortality), and awareness of AIDS/STIs to program managers, policymakers, and researchers to help them evaluate and improve existing programs; • Measure trends in fertility and contraceptive prevalence rates, and analyze factors that affect such changes, such as marital status and patterns, residence, education, breastfeeding habits, and knowledge, use, and availability of contraception; • Evaluate the achievement of goals previously set by national health programs, with special focus on maternal and child health; • Assess married men’s knowledge of utilization of health services for their family’s health, as well as participation in the health care of their families; • Participate in creating an international database that allows cross-country comparisons that can be used by the program managers, policymakers, and researchers in the areas of family planning, fertility, and health in general

Geographic coverage

National coverage

Analysis unit

• Household
• Women age 15-49
• Ever married men age 15-54
• Never married men age 15-24

Kind of data

Sample survey data [ssd]

Sampling procedure

Indonesia is divided into 33 provinces. Each province is subdivided into districts (regency in areas mostly rural and municipality in urban areas). Districts are subdivided into subdistricts, and each subdistrict is divided into villages. The entire village is classified as urban or rural.

The 2012 IDHS sample is aimed at providing reliable estimates of key characteristics for women age 15-49 and currently-married men age 15-54 in Indonesia as a whole, in urban and rural areas, and in each of the 33 provinces included in the survey. To achieve this objective, a total of 1,840 census blocks (CBs)-874 in urban areas and 966 in rural areas-were selected from the list of CBs in the selected primary sampling units formed during the 2010 population census.

Because the sample was designed to provide reliable indicators for each province, the number of CBs in each province was not allocated in proportion to the population of the province or its urban-rural classification. Therefore, a final weighing adjustment procedure was done to obtain estimates for all domains. A minimum of 43 CBs per province was imposed in the 2012 IDHS design.

Refer to Appendix B in the final report for details of sample design and implementation.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2012 IDHS used four questionnaires: the Household Questionnaire, the Woman’s Questionnaire, the Currently Married Man’s Questionnaire, and the Never-Married Man’s Questionnaire. Because of the change in survey coverage from ever-married women age 15-49 in the 2007 IDHS to all women age 15-49 in the 2012 IDHS, the Woman’s Questionnaire now has questions for never-married women age 15-24. These questions were part of the 2007 Indonesia Young Adult Reproductive Survey questionnaire.

The Household and Woman’s Questionnaires are largely based on standard DHS phase VI questionnaires (March 2011 version). The model questionnaires were adapted for use in Indonesia. Not all questions in the DHS model were adopted in the IDHS. In addition, the response categories were modified to reflect the local situation.

The Household Questionnaire was used to list all the usual members and visitors who spent the previous night in the selected households. Basic information collected on each person listed includes age, sex, education, marital status, education, and relationship to the head of the household. Information on characteristics of the housing unit, such as the source of drinking water, type of toilet facilities, construction materials used for the floor, roof, and outer walls of the house, and ownership of various durable goods were also recorded in the Household Questionnaire. These items reflect the household’s socioeconomic status and are used to calculate the household wealth index. The main purpose of the Household Questionnaire was to identify women and men who were eligible for an individual interview.

The Woman’s Questionnaire was used to collect information from all women age 15-49. These women were asked questions on the following topics: • Background characteristics (marital status, education, media exposure, etc.) • Reproductive history and fertility preferences • Knowledge and use of family planning methods • Antenatal, delivery, and postnatal care • Breastfeeding and infant and young children feeding practices • Childhood mortality • Vaccinations and childhood illnesses • Marriage and sexual activity • Fertility preferences • Woman’s work and husband’s background characteristics • Awareness and behavior regarding HIV-AIDS and other sexually transmitted infections (STIs) • Sibling mortality, including maternal mortality • Other health issues

Questions asked to never-married women age 15-24 addressed the following: • Additional background characteristics • Knowledge of the human reproduction system • Attitudes toward marriage and children • Role of family, school, the community, and exposure to mass media • Use of tobacco, alcohol, and drugs • Dating and sexual activity

The Man’s Questionnaire was administered to all currently married men age 15-54 living in every third household in the 2012 IDHS sample. This questionnaire includes much of the same information included in the Woman’s Questionnaire, but is shorter because it did not contain questions on reproductive history or maternal and child health. Instead, men were asked about their knowledge of and participation in health-careseeking practices for their children.

The questionnaire for never-married men age 15-24 includes the same questions asked to nevermarried women age 15-24.

Cleaning operations

All completed questionnaires, along with the control forms, were returned to the BPS central office in Jakarta for data processing. The questionnaires were logged and edited, and all open-ended questions were coded. Responses were entered in the computer twice for verification, and they were corrected for computeridentified errors. Data processing activities were carried out by a team of 58 data entry operators, 42 data editors, 14 secondary data editors, and 14 data entry supervisors. A computer package program called Census and Survey Processing System (CSPro), which was specifically designed to process DHS-type survey data, was used in the processing of the 2012 IDHS.

Response rate

The response rates for both the household and individual interviews in the 2012 IDHS are high. A total of 46,024 households were selected in the sample, of which 44,302 were occupied. Of these households, 43,852 were successfully interviewed, yielding a household response rate of 99 percent.

Refer to Table 1.2 in the final report for more detailed summarized results of the of the 2012 IDHS fieldwork for both the household and individual interviews, by urban-rural residence.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors, and (2) sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2012 Indonesia Demographic and Health Survey (2012 IDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2012 IDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling error is a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2012 IDHS sample is the result of a multi-stage stratified design, and, consequently, it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the 2012 IDHS is a SAS program. This program used the Taylor linearization method