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

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.

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.

Number of marriages and various nuptiality indicators (crude marriage rate, number of marriages of different-gender or same-gender couples [when available], total first-marriage rate and probability of ever marrying according to the first-marriage table), by place of occurrence, 1991 to most recent year.

China Population: Number of Marriages data was reported at 7,682,141.000 Case in 2023. This records an increase from the previous number of 6,834,972.000 Case for 2022. China Population: Number of Marriages data is updated yearly, averaging 9,210,923.500 Case from Dec 1978 (Median) to 2023, with 46 observations. The data reached an all-time high of 13,469,267.000 Case in 2013 and a record low of 5,978,171.000 Case in 1978. China Population: Number of Marriages 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.

Sri Lanka Vital Statistics: Number of Marriages data was reported at 169,365.000 Person in 2017. This records a decrease from the previous number of 173,990.000 Person for 2016. Sri Lanka Vital Statistics: Number of Marriages data is updated yearly, averaging 175,939.000 Person from Dec 1987 (Median) to 2017, with 31 observations. The data reached an all-time high of 200,985.000 Person in 2010 and a record low of 125,996.000 Person in 1987. Sri Lanka Vital Statistics: Number of Marriages data remains active status in CEIC and is reported by Department of Census and Statistics. The data is categorized under Global Database’s Sri Lanka – Table LK.G007: Vital Statistics: Number of Marriages.

Sri Lanka Vital Statistics: Number of Marriages: Colombo data was reported at 18,050.000 Person in 2017. This records a decrease from the previous number of 18,163.000 Person for 2016. Sri Lanka Vital Statistics: Number of Marriages: Colombo data is updated yearly, averaging 21,777.500 Person from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 24,612.000 Person in 1998 and a record low of 18,050.000 Person in 2017. Sri Lanka Vital Statistics: Number of Marriages: Colombo data remains active status in CEIC and is reported by Department of Census and Statistics. The data is categorized under Global Database’s Sri Lanka – Table LK.G007: Vital Statistics: Number of Marriages.

Ratio of the number of marriages during the year to the average population in that year, expressed per 1000 inhabitants.

This table contains 30 series, with data for years 1961 - 1971 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Persons ...) Geography (1 items: Canada ...) Children born to ever-married women (10 items: Number of children born to ever-married women 15 years of age and over; total; Number of children born to ever-married women aged 15-19 years; Number of children born to ever-married women aged 20-24 years; Number of children born to ever-married women aged 25-29 years ...) Type of area (3 items: Total urban and rural areas; Rural; Urban ...).

Abstract

The Tajik Living Standards Survey (TLSS) was conducted jointly by the State Statistical Agency and the Center for Strategic Studies under the Office of the President in collaboration with the sponsors, the United Nations Development Programme (UNDP) and the World Bank (WB). International technical assistance was provided by a team from the London School of Economics (LSE). The purpose of the survey is to provide quantitative data at the individual, household and community level that will facilitate purposeful policy design on issues of welfare and living standards of the population of the Republic of Tajikistan in 1999.

Geographic coverage

National coverage. The TLSS sample was designed to represent the population of the country as a whole as well as the strata. The sample was stratified by oblast and by urban and rural areas.

The country is divided into 4 oblasts, or regions; Leninabad in the northwest of the country, Khatlon in the southwest, Rayons of Republican Subordination (RRS) in the middle and to the west of the country, and Gorno-Badakhshan Autonomous Oblast (GBAO) in the east. The capital, Dushanbe, in the RRS oblast, is a separately administrated area. Oblasts are divided into rayons (districts). Rayons are further subdivided into Mahallas (committees) in urban areas, and Jamoats (villages) in rural areas.

Analysis unit

• Households
• Individuals
• Communites

Kind of data

Sample survey data [ssd]

Sampling procedure

The TLSS sample was designed to represent the population of the country as a whole as well as the strata. The sample was stratified by oblast and by urban and rural areas.

In common with standard LSMS practice a two-stage sample was used. In the first stage 125 primary sample units (PSU) were selected with the probability of selection within strata being proportional to size. At the second stage, 16 households were selected within each PSU, with each household in the area having the same probability of being chosen. [Note: In addition to the main sample, the TLSS also included a secondary sample of 15 extra PSU (containing 400 households) in Dangara and Varzob. Data in the oversampled areas were collected for the sole purpose of providing baseline data for the World Bank Health Project in these areas. The sampling for these additional units was carried out separately after the main sampling procedure in order to allow for their exclusion in nationally representative analysis.] The twostage procedure has the advantage that it provides a self-weighted sample. It also simplified the fieldwork operation as a one-field team could be assigned to cover a number of PSU.

A critical problem in the sample selection with Tajikistan was the absence of an up to date national sample frame from which to select the PSU. As a result lists of the towns, rayons and jamoats (villages) within rayons were prepared manually. Current data on population size according to village and town registers was then supplied to the regional offices of Goskomstat and conveyed to the center. This allowed the construction of a sample frame of enumeration units by sample size from which to draw the PSU.

This procedure worked well in establishing a sample frame for the rural population. However administrative units in some of the larger towns and in the cities of Dushanbe, Khojand and Kurgan-Tubbe were too large and had to be sub-divided into smaller enumeration units. Fortuitously the survey team was able to make use of information available as a result of the mapping exercise carried out earlier in the year as preparation for the 2000 Census in order to subdivide these larger areas into enumeration units of roughly similar size.

The survey team was also able to use the household listings prepared for the Census for the second stage of the sampling in urban areas. In rural areas the selection of households was made using the village registers – a complete listing of all households in the village which is (purported to be) regularly updated by the local administration. When selecting the target households a few extra households (4 in addition to the 16) were also randomly selected and were to be used if replacements were needed. In actuality non-response and refusals from households were very rare and use of replacement households was low. There was never the case that the refusal rate was so high that there were not enough households on the reserve list and this enabled a full sample of 2000 randomly selected households to be interviewed.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire was based on the standard LSMS for the CIS countries, and adapted and abridged for Tajikistan. In particular the health section was extended to allow for more in depth information to be collected and a section on food security was also added. The employment section was reduced and excludes information on searching for employment.

The questionnaires were translated into Tajik, Russian and Uzbek.

The TLSS consists of three parts: a household questionnaire, a community level questionnaire and a price questionnaire.

Household questionnaire: the Household questionnaire is comprised of 10 sections covering both household and individual aspects.

Community/Population point Questionnaire: the Community level or Population Point Questionnaire consists of 8 sections. The community level questionnaire provides information on differences in demographic and economic infrastructure. Open-ended questions in the questionnaire were not coded and hence information on the responses to these qualitative questions is not provided in the data sets.

Summary of Section contents

The brief descriptions below provide a summary of the information found in each section. The descriptions are by no means exhaustive of the information covered by the survey and users of the survey need to refer to each particular section of the questionnaire for a complete picture of the information gathered.

Household information/roster This includes individual level information of all individuals in the household. It establishes who belongs to the household at the time of the interview. Information on gender, age, relation to household head and marital status are included. In the question relating to family status, question 7, “Nekared” means married where nekar is the Islamic (arabic) term for marriage contract. Under Islamic law a man may marry more than once (up-to four wives at any one time). Although during the Soviet period it was illegal to be married to more than one woman this practice did go on. There may be households where the household head is not present but the wife is married or nekared, or in the same household a respondent may answer married and another nekared to the household head.

Dwelling This section includes information covering the type of dwelling, availability of utilities and water supply as well as questions pertaining to dwelling expenses, rents, and the payment of utilities and other household expenses. Information is at the household level.

Education This section includes all individuals aged 7 years and older and looks at educational attainment of individuals and reasons for not continuing education for those who are not currently studying. Questions related to educational expenditures at the household level are also covered. Schooling in Tajikistan is compulsory for grades (classes) 1-9. Primary level education refers to grades 1 - 4 for children aged 7 to 11 years old. General secondary level education refers to grades 5-9, corresponding to the age group 12-16 year olds. Post-compulsory schooling can be divided into three types of school: - Upper secondary education covers the grades 10 and 11. - Vocational and Technical schools can start after grade 9 and last around 4 years. These schools can also start after grade 11 and then last only two years. Technical institutions provide medical and technical (e.g. engineering) education as well as in the field of the arts while vocational schools provide training for employment in specialized occupation. - Tertiary or University education can be entered after completing all 11 grades. - Kindergarten schools offer pre-compulsory education for children aged 3 – 6 years old and information on this type of schooling is not covered in this section.

Health This section examines individual health status and the nature of any illness over the recent months. Additional questions relate to more detailed information on the use of health care services and hospitals, including expenses incurred due to ill health. Section 4B includes a few terms, abbreviations and acronyms that need further clarification. A feldscher is an assistant to a physician. Mediniski dom or FAPs are clinics staffed by physical assistants and/or midwifes and a SUB is a local clinic. CRH is a local hospital while an oblast hospital is a regional hospital based in the oblast administrative centre, and the Repub. Hospital is a national hospital based in the capital, Dushanbe. The latter two are both public hospitals.

Employment This section covers individuals aged 11 years and over. The first part of this section looks at the different activities in which individuals are involved in order to determine if a person is engaged in an income generating activity. Those who are engaged in such activities are required to answer questions in Part B. This part relates to the nature of the work and the organization the individual is attached to as well as questions relating to income, cash income and in-kind payments. There are also a few questions relating to additional income generating activities in addition to the main activity. Part C examines employment

Abstract

The Indonesia Demographic and Health Survey (IDHS) is part of the worldwide Demographic and Health Surveys program, which is designed to collect data on fertility, family planning, and maternal and child health. The 2002-2003 IDHS follows a sequence of several previous surveys: the 1987 National Indonesia Contraceptive Prevalence Survey (NICPS), the 1991 IDHS, the 1994 IDHS, and the 1997 IDHS. The 2002-2003 IDHS is expanded from the 1997 IDHS by including a collection of information on the participation of currently married men and their wives and children in the health care.

The main objective of the 2002-2003 IDHS is to provide policymakers and program managers in population and health with detailed information on population, family planning, and health. In particular, the 2002-2003 IDHS collected information on the female respondents’ socioeconomic background, fertility levels, marriage and sexual activity, fertility preferences, knowledge and use of family planning methods, breastfeeding practices, childhood and adult mortality including maternal mortality, maternal and child health, and awareness and behavior regarding AIDS and other sexually transmitted infections in Indonesia.

The 2002-2003 IDHS was specifically designed to meet the following objectives: - Provide data concerning fertility, family planning, maternal and child health, 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, analyze factors that affect such changes, such as marital status and patterns, residence, education, breastfeeding habits, and knowledge, use, and availability of contraception - Evaluate achievement of goals previously set by the national health programs, with special focus on maternal and child health - Assess men’s participation and utilization of health services, as well as of their families - Assist in creating an international database that allows cross-country comparisons that can be used by the program managers, policymakers, and researchers in the area of family planning, fertility, and health in general.

Geographic coverage

National

Analysis unit

• Household
• Children under five years
• Women age 15-49
• Men age 15-54

Kind of data

Sample survey data

Sampling procedure

SAMPLE DESIGN AND IMPLEMENTATION

Administratively, Indonesia is divided into 30 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 primary objective of the 2002-2003 IDHS is to provide estimates with acceptable precision for the following domains: · Indonesia as a whole; · Each of 26 provinces covered in the survey. The four provinces excluded due to political instability are Nanggroe Aceh Darussalam, Maluku, North Maluku and Papua. These provinces cover 4 percent of the total population. · Urban and rural areas of Indonesia; · Each of the five districts in Central Java and the five districts in East Java covered in the Safe Motherhood Project (SMP), to provide information for the monitoring and evaluation of the project. These districts are: - in Central Java: Cilacap, Rembang, Jepara, Pemalang, and Brebes. - in East Java: Trenggalek, Jombang, Ngawi, Sampang and Pamekasan.

The census blocks (CBs) are the primary sampling unit for the 2002-2003 IDHS. CBs were formed during the preparation of the 2000 Population Census. Each CB includes approximately 80 households. In the master sample frame, the CBs are grouped by province, by regency/municipality within a province, and by subdistricts within a regency/municipality. In rural areas, the CBs in each district are listed by their geographical location. In urban areas, the CBs are distinguished by the urban classification (large, medium and small cities) in each subdistrict.

Note: See detailed description of sample design in APPENDIX B of the survey report.

Mode of data collection

Face-to-face

Research instrument

The 2002-2003 IDHS used three questionnaires: the Household Questionnaire, the Women’s Questionnaire for ever-married women 15-49 years old, and the Men’s Questionnaire for currently married men 15-54 years old. The Household Questionnaire and the Women’s Questionnaire were based on the DHS Model “A” Questionnaire, which is designed for use in countries with high contraceptive prevalence. In consultation with the NFPCB and MOH, BPS modified these questionnaires to reflect relevant issues in family planning and health in Indonesia. Inputs were also solicited from potential data users to optimize the IDHS in meeting the country’s needs for population and health data. The questionnaires were translated from English into the national language, Bahasa Indonesia.

The Household Questionnaire was used to list all the usual members and visitors in the selected households. Basic information collected for each person listed includes the following: age, sex, education, and relationship to the head of the household. The main purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview. In addition, the Household Questionnaire also identifies unmarried women and men age 15-24 who are eligible for the individual interview in the Indonesia Young Adult Reproductive Health Survey (IYARHS). Information on characteristics of the household’s dwelling unit, such as the source of water, type of toilet facilities, construction materials used for the floor 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.

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

The Men’s Questionnaire was administered to all currently married men age 15-54 in every third household in the IDHS sample. The Men’s Questionnaire collected much of the same information included in the Women’s Questionnaire, but was shorter because it did not contain questions on reproductive history, maternal and child health, nutrition, and maternal mortality. Instead, men were asked about their knowledge and participation in the health-seeking practices for their children.

Cleaning operations

All completed questionnaires for IDHS, accompanied by their control forms, were returned to the BPS central office in Jakarta for data processing. This process consisted of office editing, coding of open-ended questions, data entry, verification, and editing computer-identified errors. A team of about 40 data entry clerks, data editors, and two data entry supervisors processed the data. Data entry and editing started on November 4, 2002 using a computer package program called CSPro, which was specifically designed to process DHS-type survey data. To prepare the data entry programs, two BPS staff spent three weeks in ORC Macro offices in Calverton, Maryland in April 2002.

Response rate

A total of 34,738 households were selected for the survey, of which 33,419 were found. Of the encountered households, 33,088 (99 percent) were successfully interviewed. In these households, 29,996 ever-married women 15-49 were identified, and complete interviews were obtained from 29,483 of them (98 percent). From the households selected for interviews with men, 8,740 currently married men 15-54 were identified, and complete interviews were obtained from 8,310 men, or 95 percent of all eligible men. The generally high response rates for both household and individual interviews (for eligible women and men) were due mainly to the strict enforcement of the rule to revisit the originally selected household if no one was at home initially. No substitution for the originally selected households was allowed. Interviewers were instructed to make at least three visits in an effort to contact the household, eligible women, and eligible men.

Note: See summarized response rates by place of residence in Table 1.2 of the survey report.

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 2002-2003 Indonesia Demographic and Health Survey (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

Abstract copyright UK Data Service and data collection copyright owner.Gender and Adolescence: Global Evidence (GAGE) is a ten-year (2015-2025) research programme, funded by UK Aid from the UK Foreign, Commonwealth and Development Office (FCDO), that seeks to combine longitudinal data collection and a mixed-methods approach to understand the lives of adolescents in particularly marginalized regions of the Global South, and to uncover 'what works' to support the development of their capabilities over the course of the second decade of life, when many of these individuals will go through key transitions such as finishing their education, starting to work, getting married and starting to have children.GAGE undertakes longitudinal research in seven countries in Africa (Ethiopia, Rwanda), Asia (Bangladesh, Nepal) and the Middle East (Jordan, Lebanon, Palestine). Sampling adolescent girls and boys aged between 10‐19‐year olds, the quantitative survey follows a global total of 18,000 adolescent girls and boys, and their caregivers and explores the effects that programme have on their lives. This is substantiated by in‐depth qualitative and participatory research with adolescents and their peers. Its policy and legal analysis work stream studies the processes of policy change that influence the investment in and effectiveness of adolescent programming.Further information, including publications, can be found on the Overseas Development Institute GAGE website. Gender and Adolescence: Global Evidence: Ethiopia Round 2, 2019-2020 extends the GAGE quantitative research in Ethiopia for a second round. A sample of nearly 8,600 adolescent boys and girls was sought, including nearly 7,000 adolescents surveyed in an earlier Baseline round (available from the UK Data Archive under SN 8597), as well as approximately 1,600 new adolescents. The main purpose of this survey was to gather information on the lives of Ethiopian adolescents living in urban and rural locations in the Amhara, Oromiya, and Afar regions, and to understand their changing lives and challenges. At the time of data collection, adolescents were primarily aged 12-14 and 17-19. The sample includes both randomly and purposefully sampled adolescents, and their female caregivers were also surveyed where possible. The current data release includes information for the subset of individuals who are not part of an ongoing randomized evaluation of adolescent-centric programming. A total of nearly 5,000 adolescents and their caregivers are included in the current release. Main Topics: The Core Respondent (CR) dataset contains data from the survey administered to the CR and covers education, time allocation, paid work, health and nutrition, psychosocial and mental health, mobility and voice, social inclusion, marriage and relationships, financial inclusion and economic empowerment, and information and communication technologies. The Adult Female (AF) dataset contains information on the household, including the household roster, family background, durable goods, dwelling characteristics, access to productive capital, recent positive and negative shocks, and household access to programs and support. In addition, the AF survey contains detailed information about the AF herself, such as parenting, health and nutrition, attitudes to gender equality, marriage, fertility and social norms. Purposive selection/case studies Multi-stage stratified random sample Face-to-face interview: Computer-assisted (CAPI/CAMI) 2019 2020 ACCESS TO EDUCATION ACCESS TO HEALTH SE... ACCESS TO INFORMATI... ACTIVITIES OF DAILY... ADOLESCENCE ADOLESCENTS AGE ALCOHOL USE ANIMAL HUSBANDRY ANXIETY ARRANGED MARRIAGES ATTITUDES BANK ACCOUNTS BIRTH CONTROL CHILDREN CREDIT DEVELOPING COUNTRIES DEVELOPMENT PROGRAMMES DISABILITIES EDUCATIONAL BACKGROUND EDUCATIONAL CHOICE EDUCATIONAL FACILITIES EDUCATIONAL STATUS EMOTIONAL STATES ENERGY CONSUMPTION Education Ethiopia FAMILY INFLUENCE FAMILY PLANNING FATHER S EDUCATIONA... FATHERS FINANCIAL DIFFICULTIES FOOD FOOD AND NUTRITION GENDER EQUALITY GENDER ROLE Gender and gender r... HEADS OF HOUSEHOLD HEALTH STATUS HEARING IMPAIRMENTS HOUSEHOLD BUDGETS HOUSEHOLDERS HOUSEHOLDS HOUSING CONDITIONS ILL HEALTH INFORMAL CARE INFORMATION SOURCES INTERNAL MIGRATION INTERNET ACCESS INTERNET USE LAND OWNERSHIP LAVATORIES LEISURE TIME ACTIVI... LIFE SATISFACTION LITERACY LIVESTOCK LOANS MARITAL HISTORY MARITAL STATUS MENSTRUATION MOBILE PHONES MORAL VALUES MOTHERS PARENTAL ENCOURAGEMENT PARENTAL ROLE PERSONAL FINANCE MA... PERSONAL SAFETY PHYSICAL MOBILITY PLACE OF BIRTH PREGNANCY QUALITY OF LIFE RELIGIOUS AFFILIATION RELIGIOUS BEHAVIOUR RESIDENTIAL MOBILITY ROOMS SAVINGS SCHOOL PUNISHMENTS SCHOOLS SEX SEX DISCRIMINATION SOCIAL ATTITUDES SOCIAL INEQUALITY SOCIAL VALUES STRUCTURAL ELEMENTS... STUDENT EMPLOYMENT STUDENT TRANSPORTATION Society and culture TELEVISION VIEWING TIME BUDGETS TRUANCY UNEARNED INCOME VISION IMPAIRMENTS WATER RESOURCES Youth

Singapore Marriages Registered By Ethnic Group: UMLA: Inter-ethnic Group data was reported at 108.000 Number in May 2018. This records a decrease from the previous number of 187.000 Number for Apr 2018. Singapore Marriages Registered By Ethnic Group: UMLA: Inter-ethnic Group data is updated monthly, averaging 58.000 Number from Jan 1961 (Median) to May 2018, with 689 observations. The data reached an all-time high of 326.000 Number in Dec 2017 and a record low of 3.000 Number in Sep 1976. Singapore Marriages Registered By Ethnic Group: UMLA: Inter-ethnic Group 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.

Singapore Male Divorce Rate: Per 1,000 Married Resident Males Aged 20 & Over data was reported at 6.900 NA in 2017. This records a decrease from the previous number of 7.100 NA for 2016. Singapore Male Divorce Rate: Per 1,000 Married Resident Males Aged 20 & Over data is updated yearly, averaging 6.700 NA from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 7.800 NA in 2003 and a record low of 3.700 NA in 1988. Singapore Male Divorce Rate: Per 1,000 Married Resident Males Aged 20 & Over 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.

Singapore Marriages Registered By Ethnic Group: UMLA: Malays data was reported at 221.000 Number in Oct 2018. This records a decrease from the previous number of 261.000 Number for Sep 2018. Singapore Marriages Registered By Ethnic Group: UMLA: Malays data is updated monthly, averaging 217.000 Number from Jan 1961 (Median) to Oct 2018, with 694 observations. The data reached an all-time high of 774.000 Number in Dec 1988 and a record low of 19.000 Number in Feb 1963. Singapore Marriages Registered By Ethnic Group: UMLA: Malays 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.

Singapore Male Marriage Rate: Per 1,000 Unmarried Resident Males: 45 - 49 data was reported at 37.100 NA in 2017. This records an increase from the previous number of 35.500 NA for 2016. Singapore Male Marriage Rate: Per 1,000 Unmarried Resident Males: 45 - 49 data is updated yearly, averaging 37.050 NA from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 60.400 NA in 1981 and a record low of 28.300 NA in 1990. Singapore Male Marriage Rate: Per 1,000 Unmarried Resident Males: 45 - 49 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.

Singapore Marriages Registered By Ethnic Group: UWC: Inter-ethnic Group data was reported at 323.000 Number in Oct 2018. This records an increase from the previous number of 309.000 Number for Sep 2018. Singapore Marriages Registered By Ethnic Group: UWC: Inter-ethnic Group data is updated monthly, averaging 77.000 Number from Jan 1961 (Median) to Oct 2018, with 694 observations. The data reached an all-time high of 435.000 Number in Dec 2012 and a record low of 6.000 Number in Jul 1964. Singapore Marriages Registered By Ethnic Group: UWC: Inter-ethnic Group 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.

Singapore Male Marriage Rate: Per 1,000 Unmarried Resident Males: 30 - 34 data was reported at 130.100 NA in 2017. This records a decrease from the previous number of 131.200 NA for 2016. Singapore Male Marriage Rate: Per 1,000 Unmarried Resident Males: 30 - 34 data is updated yearly, averaging 110.050 NA from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 143.800 NA in 1981 and a record low of 92.500 NA in 1986. Singapore Male Marriage Rate: Per 1,000 Unmarried Resident Males: 30 - 34 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.

Singapore Marriages: First Marriages data was reported at 21,806.000 Number in 2017. This records an increase from the previous number of 21,364.000 Number for 2016. Singapore Marriages: First Marriages data is updated yearly, averaging 20,482.000 Number from Dec 1970 (Median) to 2017, with 48 observations. The data reached an all-time high of 24,840.000 Number in 1974 and a record low of 13,889.000 Number in 1970. Singapore Marriages: First Marriages 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.

Singapore Female Marriage Rate: Per 1,000 Unmarried Resident Females: 30 - 34 data was reported at 101.600 NA in 2017. This records a decrease from the previous number of 105.800 NA for 2016. Singapore Female Marriage Rate: Per 1,000 Unmarried Resident Females: 30 - 34 data is updated yearly, averaging 76.450 NA from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 106.500 NA in 2015 and a record low of 59.200 NA in 1986. Singapore Female Marriage Rate: Per 1,000 Unmarried Resident Females: 30 - 34 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.