The fertility rate of a country is the average number of children that women from that country would have throughout their reproductive years. In the United Kingdom in 1800, the average woman of childbearing age would have five children over the course of their lifetime. Over the next 35 years the fertility rate was quite sporadic, rising to over 5.5 in the 1810s and 1820s, then dropping to 4.9 by 1835. This was during and after the Napoleonic Wars and the War of 1812 with the US, which was a time of increased industrialization, economic depression and high unemployment after the war. As things became more stable, and the 'Pax Britannica' (a period of relative, international peace and economic prosperity for the British Empire) came into full effect, the fertility rate plateaued until 1880, before dropping gradually until the First World War. The fertility rate then jumped from 2.6 to 3.1 children per woman between 1915 and 1920, as many men returned from the war. It then resumed it's previous trajectory in the interwar years, before increasing yet again after the war (albeit, for a much longer time than after WWI), in what is known as the 'Baby Boom'. Like the US, the Baby Boom lasted until around 1980, where it then fell to 1.7 children per woman, and it has remained around this number (between 1.66 and 1.87) since then.

United Kingdom UK: Fertility Rate: Total: Births per Woman data was reported at 1.800 Ratio in 2016. This stayed constant from the previous number of 1.800 Ratio for 2015. United Kingdom UK: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 1.820 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 2.930 Ratio in 1964 and a record low of 1.630 Ratio in 2002. United Kingdom UK: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.

In 2024, children in the United Kingdom spent an average of *** minutes per day on TikTok. This was followed by Instagram, as children in the UK reported using the app for an average of ** minutes daily. Children in the UK aged between four and 18 years also used Facebook for ** minutes a day on average in the measured period. Mobile ownership and usage among UK children In 2021, around ** percent of kids aged between eight and 11 years in the UK owned a smartphone, while children aged between five and seven having access to their own device were approximately ** percent. Mobile phones were also the second most popular devices used to access the web by children aged between eight and 11 years, as tablet computers were still the most popular option for users aged between three and 11 years. Children were not immune to the popularity acquired by short video format content in 2020 and 2021, spending an average of ** minutes per day engaging with TikTok, as well as over ** minutes on the YouTube app in 2021. Children data protection In 2021, ** percent of U.S. parents and ** percent of UK parents reported being slightly concerned with their children’s device usage habits. While the share of parents reporting to be very or extremely concerned was considerably smaller, children are considered among the most vulnerable digital audiences and need additional attention when it comes to data and privacy protection. According to a study conducted during the first quarter of 2022, ** percent of children’s apps hosted in the Google Play Store and ** percent of apps hosted in the Apple App Store transmitted users’ locations to advertisers. Additionally, ** percent of kids’ apps were found to collect persistent identifiers, such as users’ IP addresses, which could potentially lead to Children’s Online Privacy Protection Act (COPPA) violations in the United States. In the United Kingdom, companies have to take into account several obligations when considering online environments for children, including an age-appropriate design and avoiding sharing children’s data.

On average, the income of seventeen year olds in the United Kingdom was higher than that children in any other age group. Between March 2024 and February 2025, children aged six had a weekly income of 4.99 British pounds, while those aged 17 had an income of 23.97 per week. Those figures include the weekly regular pocket money provided to children by parents, as well as income from chores and jobs, and other sources of money.

Children and money worldwide The average amount of pocket money of Japanese children did not exactly follow the correlation observed in this statistic about the United Kingdom. In Japan, kids had more money before they reach the age to enroll in elementary school than during their elementary school studies. There are several ways through which children can save money themselves or with the help of their parents. The most common financial instruments for children between eight and 14 years old in the United States were savings accounts and piggy banks. Child poverty Child poverty is a problem affecting a significant share of the population even in developed economies. For example, 14.4 percent of all children in Germany were at risk of poverty in 2024. Meanwhile, Romania, Montenegro, and Bulgaria were, in 2022, some of the countries with the most children at risk of poverty or social exclusion in Central and Eastern Europe. The probability of children finding themselves in these situations can vary within a country depending on their socioeconomic and ethnic background, the region where they live, or whether they are being raised by a single parent or not.

United Kingdom UK: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data was reported at 84.000 % in 2009. This records an increase from the previous number of 82.000 % for 2008. United Kingdom UK: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data is updated yearly, averaging 82.000 % from Dec 1976 (Median) to 2009, with 20 observations. The data reached an all-time high of 84.000 % in 2009 and a record low of 69.000 % in 1989. United Kingdom UK: Contraceptive Prevalence: Any Methods: % of Women Aged 15-49 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Contraceptive prevalence rate is the percentage of women who are practicing, or whose sexual partners are practicing, any form of contraception. It is usually measured for women ages 15-49 who are married or in union.; ; UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.; Weighted average; Contraceptive prevalence amongst women of reproductive age is an indicator of women's empowerment and is related to maternal health, HIV/AIDS, and gender equality.

Among nations of the UK, Northern Ireland had the highest number of live births per 1,000 in 2021, at 11.6, followed by England at 10.5, Wales at 9.3, and Scotland at 8.7. The crude birth has fallen for all nations of the UK when compared with 1971, while Northern Ireland has consistently had the highest number of live births per 1,000 people. Long-term birth trends After reaching a postwar peak of 18.8 births per 1,000 people, the UK's crude birth rate has declined considerably, falling to a low of just 11 births per 1,000 people in 2020. In that year, there were just 681,560 live births, compared with over one million in 1964. Additionally, the average age of mothers in the UK has been steadily increasing since the mid-1970s. In 1975, for example, the average age at which mothers gave birth was 26.4 years, compared with 30.9 in 2021. Millennials overtake Boomers as largest generation Due to the large number of births that happened in the years following the Second World War, the generation born during this time were called Baby Boomers, and until 2020 were the largest generation in the UK. Since that year, the Millennial generation, born between 1981 and 1996 have been the largest generational cohort. In 2022, there were approximately 14.48 million Millennials, 14.14 million Generation X members (born between 1965 and 1980) and around 13.8 million Baby Boomers. Generation Z, the generation immediately after Millennials, numbered approximately 12.9 million in 2022.

Abstract

The 2005 Cambodia Demographic and Health Survey (CDHS) uses the same methodology as its predecessor, the 2000 Cambodia Demographic and Health Survey, allowing policymakers to use the two surveys to assess trends over time.

The primary objective of the CDHS is to provide the Ministry of Health, Ministry of Planning (MOP), and other relevant institutions and users with updated and reliable data on infant and child mortality, fertility preferences, family planning behavior, maternal mortality, utilization of maternal and child health services, health expenditures, women’s status, domestic violence, and knowledge and behavior regarding HIV/AIDS and other sexually transmitted infections. This information contributes to policy decisions, planning, monitoring, and program evaluation for the development of Cambodia, at both national- and local-government levels.

The long-term objectives of the survey are to technically strengthen the capacity of the National Institute of Public Health (NIPH), Ministry of Health, and the National Institute of Statistics (NIS) of MOP for planning, conducting, and analyzing the results of further surveys.

The 2005 DHS survey was conducted by the National Institute of Public Health (NIPH), the Ministry of Health, and the National Institute of Statistics of the Ministry of Planning. The CDHS executive committee and technical committee were established to oversee all technical aspects of implementation. They consisted of representatives from the Ministry of Health, the National Institute of Public Health, Department of Planning and Health Information, the Ministry of Planning, the National Institute of Statistics, the U.S. Agency for International Development (USAID), Department for International Development (DFID), the United Nations Population Fund (UNFPA), and the United Nations Children’s Fund (UNICEF). Funding for the survey came from USAID, the Asian Development Bank (ADB) (under the Health Sector Support Project HSSP, using a grant from the United Kingdom, DFID), UNFPA, UNICEF, and the Centers for Disease Control/Global AIDS Program (CDC/GAP). Technical assistance was provided by ORC Macro.

Geographic coverage

National

Analysis unit

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

Kind of data

Sample survey data

Sampling procedure

SAMPLE DESIGN

Creation of the 2005 CDHS sample was based on the objective of collecting a nationally representative sample of completed interviews with women and men between the ages of 15 and 49. To achieve a balance between the ability to provide estimates for all 24 provinces in the country and limiting the sample size, 19 sampling domains were defined, 14 of which correspond to individual provinces and 5 of which correspond to grouped provinces. - Fourteen individual provinces: Banteay Mean Chey, Kampong Cham, Kampong Chhnang, Kampong Speu, Kampong Thom, Kandal, Kratie, Phnom Penh, Prey Veng, Pursat, Siem Reap, Svay Rieng, Takeo, and Otdar Mean Chey; - Five groups of provinces: Battambang and Krong Pailin, Kampot and Krong Kep, Krong Preah Sihanouk and Kaoh Kong, Preah Vihear and Steung Treng, Mondol Kiri, and Rattanak Kiri.

The sample of households was allocated to the sampling domains in such a way that estimates of indicators can be produced with known precision for each of the 19 sampling domains, for all of Cambodia combined, and separately for urban and rural areas of the country.

The sampling frame used for 2005 CDHS is the complete list of all villages enumerated in the 1998 Cambodia General Population Census (GPC) plus 166 villages which were not enumerated during the 1998 GPC, provided by the National Institute of Statistics (NIS). It includes the entire country and consists of 13,505 villages. The GPC also created maps that delimited the boundaries of every village. Of the total villages, 1,312 villages are designated as urban and 12,193 villages are designated as rural, with an average household size of 161 households per village.

The survey is based on a stratified sample selected in two stages. Stratification was achieved by separating every reporting domain into urban and rural areas. Thus the 19 domains were stratified into a total of 38 sampling strata. Samples were selected independently in every stratum, by a two stage selection. Implicit stratifications were achieved at each of the lower geographical or administrative levels by sorting the sampling frame according to the geographical/administrative order and by using a probability proportional to size selection at the first stage of selection.

In the first stage, 557 villages were selected with probability proportional to village size. Village size is the number of households residing in the village. Some of the largest villages were further divided into enumeration areas (EA). Thus, the 557 CDHS clusters are either a village or an EA. A listing of all the households was carried out in each of the 557 selected villages during the months of February-April 2005. Listing teams also drew fresh maps delineating village boundaries and identifying all households. These maps and lists were used by field teams during data collection.

The household listings provided the frame from which the selection of household was drawn in the second stage. To ensure a sample size large enough to calculate reliable estimates for all the desired study domains, it was necessary to control the total number of households drawn. This was done by selecting 24 households in every urban EA, and 28 households in every rural EA. The resulting oversampling of small areas and urban areas is corrected by applying sampling weights to the data, which ensures the validity of the sample for all 38 strata (urban/rural, and 19 domains).

All women age 15-49 years who were either usual residents of the selected households or visitors present in the household on the night before the survey were eligible to be interviewed. In addition, in a subsample of every second household selected for the survey, all men age 15-49 were eligible to be interviewed (if they were either usual residents of the selected households or visitors present in the household on the night before the survey). The minimum sample size is larger for women than men because complex indicators (such as total fertility and infant and child mortality rates) require larger sample sizes to achieve sampling errors of reasonable size, and these data come from interviews with women.

In the 50 percent subsample, all men and women eligible for the individual interview were also eligible for HIV testing. In addition, in this subsample of households all women eligible for interview and all children under the age of five were eligible for anemia testing. These same women and children were also eligible for height and weight measurement to determine their nutritional status. Women in this same subsample were also eligible to be interviewed with the cause of death module, applicable to women with a child born since January 2002.

The 50 percent subsample not eligible for the man interview was further divided into half, resulting in one-quarter subsamples. In one-quarter subsample all women age 15-49 were eligible for the woman's status module in addition to the main interview. In this same one-quarter subsample, one woman per household was eligible for the domestic violence module. In the other one-quarter subsample, women were not eligible for the woman's status module, nor the domestic violence module.

NOTE: See detailed description of the sample design in APPENDIX A of tthe survey report.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires were used: the Household Questionnaire, Woman Questionnaire, and Man Questionnaire. The content of these questionnaires was based on model questionnaires developed by the MEASURE DHS project. Technical meetings between experts and representatives of the Cambodian government and national and international organizations were held to discuss the content of the questionnaires. Inputs generated by these meetings were used to modify the model questionnaires to reflect the needs of users and relevant population, family planning, and health issues in Cambodia. Final questionnaires were translated from English to Khmer and a great deal of refinement to the translation was accomplished during the pretest of the questionnaires.

The Household Questionnaire served multiple purposes: - It was used to list all of the usual members and visitors in the selected households and was the vehicle for identifying women and men who were eligible for the individual interview. - It collected basic information on the characteristics of each person listed, including age, sex, education, and relationship to the head of the household. - It collected information on characteristics of the household’s dwelling unit, ownership of various durable goods, ownership and use of mosquito nets, and testing of salt for iodine content. - It collected anthropometric (height and weight) measurements and hemoglobin levels. - It was used to register people eligible for collection of samples for later HIV testing. - It had a module on recent illness or death. - It had a module on utilization of health services.

The Women’s Questionnaire covered a wide variety of topics divided into 13 sections: - Respondent Background - Reproduction, including an abortion module - Family Planning - Pregnancy Postnatal Care and Children’s Nutrition - Immunization Health and Women’s Nutrition - Cause of Death of Children (also known as Verbal Autopsy) - Marriage and Sexual Activity - Fertility Preferences - Husband’s Background and Woman’s Work - HIV AIDS and Other

Whether it’s teaching the importance of good money management, learning about savings, or a way of rewarding a child for good behavior, pocket money is a big issue for parents and children alike in the United Kingdom. In 2023, the average child in the UK received five British pounds a week in pocket money, nearly the same as last year.
Top chores to earn extra As children grow and age, the importance of hard work becomes an important life lesson for a lot of parents. There is a clear correlation between a child’s age and the amount they receive in pocket money. If kids are smart, they will choose their chores wisely. As of 2021, washing the car saw the average child earn almost three British pounds.

Kids in the capital get more In Greater London, the average child received approximately 8.2 British pounds per week in 2018, over 425 GBP per year. Children in the South East and East of England faired off the worst, with an average of two pounds a week less than London in 2018. Meanwhile, savings accounts and piggy banks were some of the most popular financial instruments owned by children in the U.S. in 2022 were savings accounts and piggy banks.

As of March 2021, YouTube Kids and Facebook Messenger Kids were the mobile apps for children found to collect the largest amount of data from global iOS users. The apps collected a total of 15 data points from each of the examined data types,. Language learning app Lingokids and educational app ABCmouse followed with 10 data points. The type of data that the examined children's apps collected mostoften were contact information and diagnostics.

Children mobile privacy From online education to gaming and social media, children and young users are increasingly active in online environments via mobile devices. In 2021, playing online games and watching YouTube videos figured among the most popular mobile activities for kids worldwide, while less than five in 10 reported using their phones to complete assignments for school. As vulnerable users, children are entitled to institutional protection and lower interference from tech companies. However, mobile apps designed for children still collect data from their young users. As of the beginning of 2022, money management and gaming apps were the app categories found to track the largest number of data segments from children, with 10.1 and 9.3 data points tracked, respectively.

Child proof social media? While the impact of social media on younger users’ development is yet to be fully understood, parents and educators were quick to realize that social media expands the range of dangers children can encounter while being online. In 2021, children in the United States and in the United Kingdom spent an average of 98 minutes per day on TikTok, as well as 83 minutes daily on Snapchat. In the U.S., both Snapchat and TikTok agreed to respect the age limit restrictions set by the Children's Online Privacy Protection Act (COPPA), and while Snapchat discontinued its children-specific Snapkidz app in 2016, TikTok relies on its TikTok Younger Users platform for users younger than 13. Despite the majority of social media services requiring users to be at least 13 years old, a survey conducted in 2021 in the United Kingdom has found that 60 percent of all surveyed kids aged between eight and 11 had their own social media profile.

This graph shows the average size of households in China from 1990 to 2023. That year, statistically about 2.8 people were living in an average Chinese household. Average household size in China A household is commonly defined as one person living alone or a group of people living together and sharing certain living accommodations. The average number of people living in one household in China dropped from 3.96 in 1990 to 2.87 in 2011. Since 2010, the figure was relatively stable and ranged between 2.87 and 3.17 people per household. The average Chinese household still counts as rather large in comparison to other industrial countries. In 2023, an average American household consisted of only 2.51 people. Comparable figures have already been reached in the bigger cities and coastal areas of China, but in the rural provinces the household size is still much larger. According to the National Bureau of Statistics of China, the household size in China was diametrically correlated to its income. Birth rates and household sizes The receding size of Chinese households may be linked to the controversial one-child policy introduced in 1979. The main aim of the policy was to control population growth. While the fertility rate in China had been very high until the 1970s, it fell considerably in the following decades and resided at only 1.7 children per woman in 2018, nearly the same as in the United States or in the United Kingdom. A partial ease in the one-child policy was introduced in 2013, due to which couples where at least one parent was an only child were allowed to have a second child. In October 2015, the law was changed into a two-child policy becoming effective in January 2016.

As of February 2025, ** percent of the YouTube global audience was composed of male users aged between 25 and 34 years, as well as around *** percent of female users of the same age. Male users aged between 35 and 44 years on the platform accounted for **** percent of the total, while women of the same age using YouTube had an audience share of *** percent in the examined period. YouTube’s global popularity The number of monthly active users on YouTube reached almost *** billion in April 2024, making it the second most popular social network on the internet. The platform's popularity spans all over the world, with India and the United States having the largest YouTube audiences. As of April 2024, the audience of YouTube in India was around *** million, while the United States recorded a YouTube audience of around *** million users.

YouTube’s digital revenues One of YouTube's leading monetization methods include advertising, with the company generating around **** billion U.S. dollars in the first quarter of 2024. Additionally, the platform generated over ** million dollars in the United States through in-app purchases, as well as over **** million U.S. dollars in revenues from mobile app users in Japan.

Bicycles are clearly most popular amongst young children, as the proportion of 5-10 year-old who owned bikes was approximately double the average for all ages (5+), and was more than 50 percent higher than the proportion of bicycle-owners in the 40-49 age group.