The typical American picture of a family with 2.5 kids might not be as relevant as it once was: In 2023, there was an average of 1.94 children under 18 per family in the United States. This is a decrease from 2.33 children under 18 per family in 1960.

Familial structure in the United States

If there’s one thing the United States is known for, it’s diversity. Whether this is diversity in ethnicity, culture, or family structure, there is something for everyone in the U.S. Two-parent households in the U.S. are declining, and the number of families with no children are increasing. The number of families with children has stayed more or less constant since 2000.

Adoptions in the U.S.

Families in the U.S. don’t necessarily consist of parents and their own biological children. In 2021, around 35,940 children were adopted by married couples, and 13,307 children were adopted by single women.

Family Units in Private Households Comprising of Couples With and Without Children by Number of children, CensusYear and Statistic

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Families of tax filers; Census families with children by age of children and children by age groups (final T1 Family File; T1FF).

The family is currently in a state of flux. The birthrate today is much lower than in past times. The number of new marriages is declining while the number of young people who stay single increases. Many people live in extramarital life partnerships. These new trends create problems, which politics, administration and various non-governmental organisations such as family relations have to overcome. To make this possible, it is necessary to have reliable information which has been non existent up to now. There has for instance been no statistical data on the number of stepchildren although more and more children affected by their parents divorce grow up with their parents’ new partners. Only with this survey, which asks questions on the existence of parents outside the household, the gap is closed. However, the older generation is also of interest. Little is known about their families. Normally only relatives living in the same household are recorded in the statistics. Therefore, many married couples are labelled childless although their children have only moved out. This makes the question on relatives outside the interviewees’ households necessary. Information on the existence of relatives and contacts with them are also necessary to appraise in how far relatives are or can be included in the care of the increasing number of elderly people. The special program consists of 4 parts: 1. questions on the existence of biological relatives (B 22 and B 23: to all persons) 2. questions on the birth of children (B 24 and B 25: to women over 15 B 26 to B 28: to women between 20 and 40) 3. questions on the moving out from the parents’ household (B 29 and B 30: to all persons between 15 and 60) 4. questions on marriage and divorce (B 31 to B 35: to all married, divorced and widowed persons between 15 and 60) Probability: Stratified: Disproportional Face-to-face interview

This asset contains disaggregated data on the prevented child marriages in Bangladesh by _location. The Protecting Human Rights (PHR) Program works to reduce domestic violence, child marriage and related human rights abuses in 102 unions under eight upazilas of six districts. With support from USAID from March 2011 to March 2017, PHR was implemented by Plan International Bangladesh, the Bangladesh National Women Lawyers’ Association and 11 local NGOs. PHR uses an integrated and broad-based approach that includes advocacy, capacity building, access to justice, services for survivors, and mass awareness and educational projects.

Our Demographics package in the USA offers data pertaining to the households of residents of the United States of America at Census Block Level. Each data variable is available as a sum, or as a percentage of the total population within each selected area.

What is included?

At the Census Block level, this dataset includes some of the following key features:

Household Data

• Household Statistics: Number of Households and Age of Children in Households.
• Marriage Status: Married, Divorced, Never Married and Widowed.
• Household Types: Single-Person Households, Households with Children etc.
• Language Spoken in Households: English, Limited English etc.

• • Household Statistics: Marketers can use this data to understand the size and composition of households, allowing for targeted campaigns. For instance, companies offering family-oriented products can tailor promotions based on the presence and age of children in households, ensuring that their messaging resonates with the specific needs of different family structures.
  • Marriage Status: This data provides valuable insights into the marital status of individuals, enabling marketers to tailor their messaging based on relationship status. For example, businesses offering wedding-related services may focus on advertising to engaged or newly married individuals, while financial institutions may customize their promotions based on the unique financial considerations of divorced or widowed individuals.
  • Household Types: Understanding the various household types helps marketers create targeted campaigns. For example, real estate agencies may target single-person households with advertisements for apartments or studios, while companies offering family-friendly products can focus on households with children.
  • Language Spoken in Households: This data variable assists marketers in tailoring their communication strategies based on the predominant language spoken in households. For instance, businesses can create multilingual advertising content to effectively reach and engage diverse linguistic demographics, ensuring that their messages are understood and resonate with the target audience.

• This demographic data is typically available at the census block level. These blocks are smaller, more detailed units designed for statistical purposes, enabling a more precise analysis of population, housing, and demographic data. Census blocks may vary in size and shape but are generally more localized compared to ZIP codes.

  Still looking for demographic data at the postal code level? Contact sales.

• There are numerous other census data datasets available for the United States, covering a wide range of demographics. These include information on:

  • Commuting
  • Educational Attainment
  • Employment
  • Families
  • Finance
  • Housing

Number and age of children in families where the parents divorce.

A data set based on marriages conducted between 1600 and 1999 in the Netherlands. Includes information on lifespans and marriage ages of spouses (focal spouse and other), also location data for births, marriages and deaths. Includes information on lifespans and death locations of parents of the spouses. Includes information on births, deaths and lifespans of the children of the spouse/couple. Includes information on whether the marriage, birth and death locations were urban or rural between 1600 and 1800, based on whether a place contained 5000 or more inhabitants (using a database developed by Bosker et al. 2013 [Rev. Econ. Stat., 95(4), 1418-1437 doi:10.1162/REST_a_00284]). The data set is derived from a genealogical database, which was constructed from family tree (GEDCOM) files contributed by users of www.genealogieonline.nl, via a program in which genealogists who were registered with the website were invited to contribute their family trees for scientific research purposes. The genealogical data from contributed files was error-checked before being combined into a single database using the TreeChecker application (http://www.treechecker.net). From the initial pool of >1600 contributed files, 924 files were included in the database after an assessment of the percentage of errors in each file, hence the database is known as the GO 924 set. Duplicate marriages were identified by the year of marriage and the first 7 letters of each spouse surname, whereupon a random duplicate was selected for inclusion in the data set. Note that names of individuals and exact dates of marriages, births and deaths are excluded from this data set to prevent identification of individuals, as the genealogical data was provided to our research group on the basis that it would only be published in an aggregated or anonymised format. Access to the un-anonymised data may be granted subject to confidentiality agreements, please contact the authors for further information. Marriages were only included where the place of marriage was in the Netherlands and marriage age of the spouse was > 13. The dataset is in a long format, in which there is a separate record for each spouse. It can be determined whether the spouse is the husband or wife (and conversely whether the other is the wife or husband) by the spouse_sex variable. A description of each variable is included in the accompanying text file: GO924_married_in_NL_inc_children_VARIABLES.txt.

Families and children in the UK by family type including married couples, cohabiting couples and lone parents. Also shows household size and people living alone.

Dataset population: Households

Lone-parent households with dependent children where the lone parent is aged 16 to 74

In most tables, the term 'lone-parent household' is used to describe a household that comprises a lone parent family and no other person. In the alternative household type variable, a lone-parent household is defined as a household that contains at least one lone-parent family but does not contain any married, same-sex civil partnership or cohabiting couples.

A count of the dependent children living in a household. A dependent child is a person aged 0 to 15 in a household (whether or not in a family) or aged 16 to 18 in full-time education and living in a family with his or her parent(s) or grandparent(s). It does not include any children who have a spouse, partner or child living in the household.

Dataset population: Lone-parent households with dependent children where the lone parent is aged 16 to 74

Lone-parent households with dependent children where the lone parent is aged 16 to 74

In most tables, the term 'lone-parent household' is used to describe a household that comprises a lone parent family and no other person. In the alternative household type variable, a lone-parent household is defined as a household that contains at least one lone-parent family but does not contain any married, same-sex civil partnership or cohabiting couples.

A count of the dependent children living in a household. A dependent child is a person aged 0 to 15 in a household (whether or not in a family) or aged 16 to 18 in full-time education and living in a family with his or her parent(s) or grandparent(s). It does not include any children who have a spouse, partner or child living in the household.

Sex

The classification of a person as either male or female.

This feature layer was created using Census 2016 data produced by the Central Statistics Office (CSO) and Municipal Districts boundary data (generalised to 50m) produced by Tailte Éireann. The layer represents Census 2016 theme 4.3, family units with children by type of family and age of children. Attributes include a breakdown of family types by number of families and number of children (e.g. couples with all children aged under 15 (No. of families), One parent family (father) with all children aged 15 and over (No. of children)). Census 2016 theme 4 represents Families. The Census is carried out every five years by the CSO to determine an account of every person in Ireland. The results provide information on a range of themes, such as, population, housing and education. The data were sourced from the CSO. The Municipal District Boundary dataset generalised to 50m has been generated from the Tailte Éireann National Statutory Boundary dataset.

Data Series: Minimum age for legal marriage - Without parental consent Indicator: QV.4 - Legal minimum age at marriage by sex Source year: 2023 This dataset is part of the Minimum Gender Dataset compiled by the United Nations Statistics Division. Domain: Human rights of women and girl children

Series Name: Proportion of women aged 20-24 years who were married or in a union before age 15 (percent)Series Code: SP_DYN_MRBF15Release Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 5.3.1: Proportion of women aged 20–24 years who were married or in a union before age 15 and before age 18Target 5.3: Eliminate all harmful practices, such as child, early and forced marriage and female genital mutilationGoal 5: Achieve gender equality and empower all women and girlsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

The 1993 National Demographic Survey (NDS) is a nationally representative sample survey of women age 15-49 designed to collect information on fertility; family planning; infant, child and maternal mortality; and maternal and child health. The survey was conducted between April and June 1993. The 1993 NDS was carried out by the National Statistics Office in collaboration with the Department of Health, the University of the Philippines Population Institute, and other agencies concerned with population, health and family planning issues. Funding for the 1993 NDS was provided by the U.S. Agency for International Development through the Demographic and Health Surveys Program. Close to 13,000 households throughout the country were visited during the survey and more than 15,000 women age 15-49 were interviewed. The results show that fertility in the Philippines continues its gradual decline. At current levels, Filipino women will give birth on average to 4.1 children during their reproductive years, 0.2 children less than that recorded in 1988. However, the total fertility rate in the Philippines remains high in comparison to the level achieved in the neighboring Southeast Asian countries. The primary objective of the 1993 NDS is to provide up-to-date inform ation on fertility and mortality levels; nuptiality; fertility preferences; awareness, approval, and use of family planning methods; breastfeeding practices; and maternal and child health. This information is intended to assist policymakers and administrators in evaluating and designing programs and strategies for improving health and family planning services in 'the country. MAIN RESULTS Fertility varies significantly by region and socioeconomic characteristics. Urban women have on average 1.3 children less than rural women, and uneducated women have one child more than women with college education. Women in Bicol have on average 3 more children than women living in Metropolitan Manila. Virtually all women know of a family planning method; the pill, female sterilization, IUD and condom are known to over 90 percent of women. Four in 10 married women are currently using contraception. The most popular method is female sterilization ( 12 percent), followed by the piU (9 percent), and natural family planning and withdrawal, both used by 7 percent of married women. Contraceptive use is highest in Northern Mindanao, Central Visayas and Southern Mindanao, in urban areas, and among women with higher than secondary education. The contraceptive prevalence rate in the Philippines is markedly lower than in the neighboring Southeast Asian countries; the percentage of married women who were using family planning in Thailand was 66 percent in 1987, and 50 percent in Indonesia in 199l. The majority of contraceptive users obtain their methods from a public service provider (70 percent). Government health facilities mainly provide permanent methods, while barangay health stations or health centers are the main sources for the pill, IUD and condom. Although Filipino women already marry at a relatively higher age, they continue to delay the age at which they first married. Half of Filipino women marry at age 21.6. Most women have their first sexual intercourse after marriage. Half of married women say that they want no more children, and 12 percent have been sterilized. An additional 19 percent want to wait at least two years before having another child. Almost two thirds of women in the Philippines express a preference for having 3 or less children. Results from the survey indicate that if all unwanted births were avoided, the total fertility rate would be 2.9 children, which is almost 30 percent less than the observed rate, More than one quarter of married women in the Philippines are not using any contraceptive method, but want to delay their next birth for two years or more (12 percent), or want to stop childbearing (14 percent). If the potential demand for family planning is satisfied, the contraceptive prevalence rate could increase to 69 percent. The demand for stopping childbearing is about twice the level for spacing (45 and 23 percent, respectively). Information on various aspects of maternal and child health-antenatal care, vaccination, breastfeeding and food supplementation, and illness was collected in the 1993 NDS on births in the five years preceding the survey. The findings show that 8 in 10 children under five were bom to mothers who received antenatal care from either midwives or nurses (45 percent) or doctors (38 percent). Delivery by a medical personnel is received by more than half of children born in the five years preceding the survey. However, the majority of deliveries occurred at home. Tetanus, a leading cause of infant deaths, can be prevented by immunization of the mother during pregnancy. In the Philippines, two thirds of bitlhs in the five years preceding the survey were to mothers who received a tetanus toxoid injection during pregnancy. Based on reports of mothers and information obtained from health cards, 90 percent of children aged 12-23 months have received shots of the BCG as well as the first doses of DPT and polio, and 81 percent have received immunization from measles. Immunization coverage declines with doses; the drop out rate is 3 to 5 percent for children receiving the full dose series of DPT and polio. Overall, 7 in 10 children age 12-23 months have received immunization against the six principal childhood diseases-polio, diphtheria, ~rtussis, tetanus, measles and tuberculosis. During the two weeks preceding the survey, 1 in 10 children under 5 had diarrhea. Four in ten of these children were not treated. Among those who were treated, 27 percent were given oral rehydration salts, 36 percent were given recommended home solution or increased fluids. Breasffeeding is less common in the Philippines than in many other developing countries. Overall, a total of 13 percent of children born in the 5 years preceding the survey were not breastfed at all. On the other hand, bottle feeding, a widely discouraged practice, is relatively common in the Philippines. Children are weaned at an early age; one in four children age 2-3 months were exclusively breastfed, and the mean duration of breastfeeding is less than 3 months. Infant and child mortality in the Philippines have declined significantly in the past two decades. For every 1,000 live births, 34 infants died before their first birthday. Childhood mortality varies significantly by mother's residence and education. The mortality of urban infants is about 40 percent lower than that of rural infants. The probability of dying among infants whose mother had no formal schooling is twice as high as infants whose mother have secondary or higher education. Children of mothers who are too young or too old when they give birth, have too many prior births, or give birth at short intervals have an elevated mortality risk. Mortality risk is highest for children born to mothers under age 19. The 1993 NDS also collected information necessary for the calculation of adult and maternal mortality using the sisterhood method. For both males and females, at all ages, male mortality is higher than that of females. Matemal mortality ratio for the 1980-1986 is estimated at 213 per 100,000 births, and for the 1987-1993 period 209 per 100,000 births. However, due to the small number of sibling deaths reported in the survey, age-specific rates should be used with caution. Information on health and family planning services available to the residents of the 1993 NDS barangay was collected from a group of respondents in each location. Distance and time to reach a family planning service provider has insignificant association with whether a woman uses contraception or the choice of contraception being used. On the other hand, being close to a hospital increases the likelihood that antenatal care and births are to respondents who receive ANC and are delivered by a medical personnel or delivered in a health facility.

Abstract

The Marriages and Divorces (MD) dataset is one of three primary sources of of marriage and divorce statistics in South Africa. Unlike the other two sources (population censuses and household sample surveys), the MD dataset is compiled from administrative data and based on continuous recording (i.e., from civil registration systems and administrative records). Statistics South Africa (Stats SA) regularly publishes a series of data on marriages and divorces, with the first dataset in the series beginning in 2006. The most recent dataset in the series is MD 2020.

Marriage data: Data on marriages for citizens and permanent residents are obtained from registered marriage records that are collected through the civil registration systems of the Department of Home Affairs (DHA). South Africa recognizes three types of marriages by law: civil marriages, customary marriages and civil unions. Before 2008, marriage data only covered civil marriages. The registration of customary marriages and civil unions began in 2003 and 2007 respectively. However, from 2008 onwards, Stats SA began publishing available data on customary marriages and civil unions.

Divorce data: Data on divorces are obtained from various regional courts that deal with divorce matters. The data are based on successful divorce cases that have been issued with a decree of divorce by the Department of Justice and Constitutional Development (DoJCD). Divorce cases come from marriages that were registered in different years as well as divorce cases that were filed in different years but whose divorce decrees were granted in the relevant year of collection.

NOTE: although both the data on marriages and divorces are collected in the same year, the data sets are not linked to each other.

Geographic coverage

National coverage

Analysis unit

Individuals

Universe

The data covers all civil marriages that were recoreded by the Department of Home Affairs and all divorce applications that were granted by the Department of Justice and Constitutional Development in 2020 in South Africa.

Kind of data

Administrative records data [adm]

Mode of data collection

Other

Data appraisal

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

Abstract copyright UK Data Service and data collection copyright owner.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

The Great Britain Historical GIS Project has also produced digitised boundary data, which can be obtained from the UK Data Service Census Support service. Further information is available at census.ukdataservice.ac.uk

Main Topics:

The Great Britain Historical Database is a large database of British nineteenth and twentieth-century statistics. Where practical the referencing of spatial units has been integrated, data for different dates have been assembled into single tables.

The Great Britain Historical Database currently contains :

• Statistics from the 1861 Census and the Registrar General's reports, 1851-1861
  
• Employment statistics from the census, 1841-1931
  
• Demographic statistics from the census, 1841-1931
  
• Mortality statistics from the Registrar General's reports, 1861-1920
  
• Marriage statistics from the Registrar General's reports, 1841-1870
  
• Trade union statistics for the Amalgamated Society of Engineers (ASE), 1851-1918
  
• Trade union statistics for the Amalgamated Society of Carpenters and Joiners (ASCJ), 1863-1912
  
• Official poor law statistics, 1859-1915 and 1919-1939
  
• Wage statistics, 1845-1906
  
• Hours of work statistics, 1900-1913
  
• Small debt statistics from county courts, 1847-1913 and 1938
  

There are seven tables in this part of the Great Britain Historical Database :

mar_rd holds marriage statistics for each registration district in England and Wales from 1841 to 1870.

mar_1840 holds marriage statistics for each registration district in England and Wales from 1841 to 1850.

mar_1850 holds marriage statistics for each registration district in England and Wales from 1851 to 1860.

mar_1860 holds marriage statistics for each registration district in England and Wales from 1861 to 1870.

reg_gen_durham_1871-1914.tab holds marriage statistics for the County of Durham and its registration districts from 1871 to 1914.

reg_gen_england_wales_1871-1914.tab holds marriage statistics for each county of England and Wales from 1871 to 1914.

reg_gen_lancashire_1871-1914.tab holds marriage statistics for the County of Lancashire and its registration districts from 1871 to 1914.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

The specific aim of this project was to evaluate the usefulness of the Seattle Police Department's (SPD) Lethality Scale in identifying misdemeanor cases that might be high risk for escalating violence and subsequent felony incidents. Data provide information on 11,972 unique couples with incidents occurring between January 1, 1995, and December 31, 1997, involving intimate couples in which the suspect was at least 18 years old and the victim was at least 16, with no age restriction for cases referred to the juvenile division. The researchers reformatted the Domestic Violence Unit's (DVU) database to reflect a three-year history of violence between unique couple members. Only intimate couples were considered, meaning suspects and victims who were married, divorced, had a child in common, or were dating. The Lethality Scale was derived from the data in the DVU database. It was composed of six incident characteristic components (offense score, weapon score, location score, injury score, personal score, and incident/other score) with varying values that contributed to an overall score. The Total Lethality Score was the sum of the values from these six components. The lethality score referred to an individual only and did not reflect information about other people involved in the incident. To interpret the score, the DVU specified a period of time--for example, six months--and computed lethality score values for every person involved in an incident during this period. Information on individuals with a Total Lethality Score over a certain cut-off was printed and reviewed by a detective. Data are provided for up to 25 incidents per unique couple. Incident variables in the dataset provide information on number of persons involved in the incident, time and weekday of the incident, beat, precinct, census tract, and place where the incident occurred, type of primary and secondary offenses, if a warrant was served, charges brought, final disposition, weapon type used, arrests made, court order information, if evidence was collected, if statements or photos were taken by the DVU, and sergeant action. Dates were converted to time intervals and provide the number of days between the incident date and the date the file was sent to the prosecutor, the date charges were brought, and the date the case was officially closed. Time intervals were also calculated for days between each incident for that couple. Personal information on the two persons in a couple includes age, gender, injuries and treatment, relationship and cohabitation status of the individuals, pregnancy status of each individual, alcohol and drug use at the time of the incident, and role of the individual in the incident (victim, suspect, victim/suspect). Lethality scale scores are included as well as the number of incidents in which the unique couple was involved in 1995 and 1996, and 1989 median household income for the census tract.

Abstract copyright UK Data Service and data collection copyright owner.

The purpose of the project was to provide machine-readable economic and social history statistics relating to the whole of Ireland for the period 1821-1971. Further information about the project is available on the QUB Centre for Data Digitisation and Analysis website.


Main Topics:

The dataset contains population census data covering population, housing, religion, birthplaces, language, occupations, age structures, conjugal status and family structure. All the relevant background material is incorporated either in the documentation files or in the scanned images of the tables of contents, prefaces, and notes in the original source. The main population census tables are:

Total population grouped by county districts and gender (1881-1971).

Total number of buildings, classified as either inhabited buildings, uninhabited buildings, or buildings under construction grouped by county districts. Also includes the area and valuation of each county district (1881-1971).

Total number of Roman Catholics, Church of Ireland members, Presbyterians, Methodists and others grouped by county districts and gender (1926-1971).

Total number of Roman Catholics, Church of Ireland members and others grouped by counties, gender and age groups (1926-1971).

Total numbers born in each county grouped by county of residence and gender (1901-1971) Republic of Ireland only.

Total numbers born in each province grouped by county districts of residence and gender (1926-1936) Republic of Ireland only

Total numbers born in each county district grouped by county of residence and gender (1926-1971) Northern Ireland only.

Irish/English speakers and English only speakers grouped by county districts (1926-1971) Republic of Ireland only.

Occupations grouped by counties and gender (1926-1971).

Total number of persons in each age group grouped by county districts and gender (1901-1971).

Total number of married, single and widowed people grouped by county districts, age groups and gender (1926-1971).

Total number of families grouped by duration of marriage, husband's age at marriage, wife's age at marriage and number of children born (1946, 1961 and 1971) Republic of Ireland only.

Total number of families grouped by counties, duration of marriage, wife's age at marriage and number of children born (1946, 1961 and 1971) Republic of Ireland only.

Total number of families grouped by religious affiliation, duration of marriage, wife's age at marriage and number of children born (1946, 1961 and 1971) Republic of Ireland only.

Total number of dependent children grouped by counties, number of children in family and parent's marital status, gender and age (1926 and 1946) Republic of Ireland only.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

Number and percentage of live births, by marital status of mother, 1991 to most recent year.