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

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

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.

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.

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.

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.

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.

Abstract This paper discusses some of the factors associated with life satisfaction in Brazil using four waves of the World Values Survey (1991 to 2014). Some results already described in the literature were confirmed, as we found that individuals who were married, employed, more religious, in better health, with greater freedom/control over their lives and who had a better financial situation were more satisfied with life, regardless of the time period. The variables for age and cohort showed non-significant associations with life satisfaction when aspects that theoretically correlated with life satisfaction were controlled in the analysis. When the different cohorts were analyzed separately, the results suggest that life satisfaction might be related to the conjectural and historical factors represented by period effects.

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 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: Bangladesh-Dhaka Baseline, 2017-2018 includes a sample of 780 adolescent girls and boys in two separate cohorts (younger adolescents aged 10-12 years and older adolescents age 15-17 years) as well as their caregivers and communities. The research sample, composed of both randomly sampled and purposely selected adolescents and their families, was recruited during 2017 and 2018 in Dhaka, Bangladesh. Further information about the research site, sample selection, and data collection process is available in the documentation. Main Topics: The Adult Female (AF) dataset contains information on the household, including the household roster, household assets, sources of income, and household construction, among other household information. In addition, the AF survey contains detailed information about the AF herself, such as her health, marriage and fertility, attitudes, and parenting practices. The Core Respondent (CR) dataset contains data from the survey administered to the CR and covers education, time allocation, employment, health, attitudes, marriage and fertility.The Adult Male (AM) dataset contains information on the adult male in the subset of households where surveys were conducted with adult males, covering parenting practices, time allocation use of information and communication technologies, health, attitudes, attitudes and social inclusion. Simple random sample Face-to-face interview

This dataset displays the population figures for Canada according to couple families. Included in the data are population figures on couples, both married and common law. Information on couples with and without children can be found in this dataset. This information is available from Statistics Canada/ the Census of Population for 2001 and 2006. This information is available on the Census District level.

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.

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 1000 Married Resident Males: 45 - 49 data was reported at 7.700 NA in 2017. This records a decrease from the previous number of 8.400 NA for 2016. Singapore Male Divorce Rate: Per 1000 Married Resident Males: 45 - 49 data is updated yearly, averaging 5.650 NA from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 8.500 NA in 2013 and a record low of 2.100 NA in 1980. Singapore Male Divorce Rate: Per 1000 Married 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 Male Marriage Rate: Per 1,000 Unmarried Resident Males: 25 - 29 data was reported at 81.700 NA in 2017. This records an increase from the previous number of 78.200 NA for 2016. Singapore Male Marriage Rate: Per 1,000 Unmarried Resident Males: 25 - 29 data is updated yearly, averaging 100.900 NA from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 140.100 NA in 1980 and a record low of 71.500 NA in 2013. Singapore Male Marriage Rate: Per 1,000 Unmarried Resident Males: 25 - 29 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 Female Marriage Rate: Per 1,000 Unmarried Resident Females: 15 - 19 data was reported at 1.500 NA in 2017. This records a decrease from the previous number of 1.700 NA for 2016. Singapore Female Marriage Rate: Per 1,000 Unmarried Resident Females: 15 - 19 data is updated yearly, averaging 7.100 NA from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 18.400 NA in 1980 and a record low of 1.500 NA in 2017. Singapore Female Marriage Rate: Per 1,000 Unmarried Resident Females: 15 - 19 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 Marriages: Total data was reported at 28,212.000 Number in 2017. This records an increase from the previous number of 27,971.000 Number for 2016. Singapore Marriages: Total data is updated yearly, averaging 23,103.000 Number from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 28,407.000 Number in 2014 and a record low of 5,034.000 Number in 1960. Singapore Marriages: Total 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.