This statistic presents the evolution of the median age at first sexual intercourse in France between 1964 and 2016, broken down by gender. It shows that if women had their first sexual intercourse at 19 in the 1960s, this figure dropped down to 17.6 years old between 2014 and 2016.

In a survey conducted between 2013 and 2015, the average age for South Korean teenage girls in the third grade of high school to lose their virginity was 15.7 years (based on the South Korean age system in which a new-born baby is considered as one-year-old). According to the same survey, around five percent of females in this age bracket had ever had sexual intercourse.

Sexuality in South Korea

Many different factors have shaped the way sexuality is considered across the country. From traditional cultural norms generally accepted by the older generation, to the recent surge of liberalism and westernization – sexual education and sexual behavior have been highly debated topics among South Koreans and continue to be to this day.

Sexual education for teenagers in South Korea has become known for being problematic - not all teenage girls participated in sexual education programs as part of their schooling, and there has been some backlash on the quality of sexual education received by all students. Only half of sexually active teens stated that they always use contraception when having sex.

In 2019, South Korea decriminalized abortion – a move that was praised as moving towards a positive direction for women’s rights and health within the country. Decriminalizing pregnancy termination is particularly important for adolescents - around 80 percent of teenage girls who had been pregnant reported having an abortion.

This statistic shows the number of average sexual encounters per person worldwide, sorted by country. According to the source, people in India had an average of 130 sexual encounters in a year.

In a survey conducted in Australia in 2021, the average age that young respondents aged 14 to 18 years reported first experiencing vaginal sex was 15.3 years. The average age for first viewing pornography was 13.6 years.

Since the mid-2000s the average age at first wedding in France increased gradually, for both men and women. It seems to be common for the first marriage to be celebrated later and later in Western countries. For example, the median age at first marriage in the United States went from 26.8 years old for males and 25 years old for females in 1997, up to 30.3 years old for males and 28.4 for females in 2019. Same thing occurred in Europe where Sweden was the country where the median age at first wedding was the oldest in 2019.

French people wait longer to marry

According to the source, in 2004, the average age at first wedding for French men was 30.8 compared to 28.8 for women. If men still tend to be older than women at first marriage, the average age at marriage for both males and females increased from 2004 to 2021. In 2021, men were aged on average 39.2 at their first wedding, compared to 36.8 for women. Most marriages in France happened between men and women despite the implementation of same-sex marriage in 2013. Mean age at gay marriages appear to be even older than in different-sex wedding.

Marriage and divorce in France

Thus, the percentage of married persons in France decreased since 2006, while the share of single and divorced people rose. However, in 2016, France was the second European country with the highest number of marriages behind Germany. On the other hand, like most other Western nations, France also has an important divorce rate. In 2016, the number of French divorces was of 55 per 100 marriages.

In 2022, the most common age group for first sexual intercourse with penetration among young Spanish women was 16 to 17 years, with 37.5 percent of respondents. Furthermore, almost four percent of respondents said that they had their first sexual relationship when they were 13 years old or younger.

This Dataset provides comprehensive demographic information on global populations from 1950 to the present. It offers insights into various aspects of population dynamics, including population counts, gender ratios, birth and death rates, life expectancy, and migration patterns.

Column Descriptions:

SortOrder: Numeric identifier for sorting.

LocID: Location identifier.

Notes: Additional notes or comments (blank in this dataset).

ISO3_code: ISO 3-character country code.

ISO2_code: ISO 2-character country code.

SDMX_code: Statistical Data and Metadata Exchange code.

LocTypeID: Location type identifier.

LocTypeName: Location type name.

ParentID: Identifier for the parent location.

Location: Name of the location.

VarID: Identifier for the variant.

Variant: Type of population variant.

Time: Year or time period.

TPopulation1Jan: Total population on January 1st.

TPopulation1July: Total population on July 1st.

TPopulationMale1July: Total male population on July 1st.

TPopulationFemale1July: Total female population on July 1st.

PopDensity: Population density (people per square kilometer).

PopSexRatio: Population sex ratio (male/female).

MedianAgePop: Median age of the population.

NatChange: Natural change in population.

NatChangeRT: Natural change rate (per 1,000 people).

PopChange: Population change.

PopGrowthRate: Population growth rate (percentage).

DoublingTime: Time for population to double (in years).

Births: Total number of births.

Births1519: Births to mothers aged 15-19.

CBR: Crude birth rate (per 1,000 people).

TFR: Total fertility rate (average number of children per woman).

NRR: Net reproduction rate.

MAC: Mean age at childbearing.

SRB: Sex ratio at birth (male/female).

Deaths: Total number of deaths.

DeathsMale: Total male deaths.

DeathsFemale: Total female deaths.

CDR: Crude death rate (per 1,000 people).

LEx: Life expectancy at birth.

LExMale: Life expectancy for males at birth.

LExFemale: Life expectancy for females at birth.

LE15: Life expectancy at age 15.

LE15Male: Life expectancy for males at age 15.

LE15Female: Life expectancy for females at age 15.

LE65: Life expectancy at age 65.

LE65Male: Life expectancy for males at age 65.

LE65Female: Life expectancy for females at age 65.

LE80: Life expectancy at age 80.

LE80Male: Life expectancy for males at age 80.

LE80Female: Life expectancy for females at age 80.

InfantDeaths: Number of infant deaths.

IMR: Infant mortality rate (per 1,000 live births).

LBsurvivingAge1: Children surviving to age 1.

Under5Deaths: Number of deaths under age 5.

NetMigrations: Net migration rate (per 1,000 people).

CNMR: Crude net migration rate.

How to Use the Dataset:

1. Researchers can analyze demographic trends, birth and death rates, and population growth over time.
2. Policymakers can use population data to inform decisions on healthcare, education, and social services.
3. Data scientists can visualize and model population dynamics for various regions.
4. Journalists can use the dataset to report on global population trends and disparities.
5. Educators can incorporate real-world population data into lessons and research.

Please upvote and show your support if you find this dataset valuable for your research or analysis. Your feedback and contributions help make this dataset more accessible to the Kaggle community. Thank you!

National and subnational mid-year population estimates for the UK and its constituent countries by administrative area, age and sex (including components of population change, median age and population density).

In 2013, it appears that the majority of French teenagers were in middle school when they had their first kiss. Love appears to be an important area of life at a young age, with more than 50 percent of young French people stating that love relationships were important for them.

First love experiences

Even though new technologies and smartphones may have changed the way teenagers live their love life, it seems that the age for first love and sex experiences has not really changed over the years. From 2014 to 2017, the median age at first sexual intercourse remained at 17 years, regardless of gender. But before experiencing love with a partner, teenagers first discover their sexuality alone or through pornographic movies. Most teenagers were aged 13 to 14 years the first time they masturbated, whereas the majority of young French people were between 14 and 15 years old when they watched a porno movie for the first time.

A change in sexual practices

Easy access to porn from the Internet might has an influence on the way young adults see their sexuality. In 2017, 18 percent of female teenagers in France thought that pornography had a rather negative impact on their sexuality. On the other hand, sexual liberation, as well as the influence of feminist rhetoric in society, might also impact the evolution of sexual practices. In 1992, 42 percent of teenagers aged 18 to 19 years declared having already practiced oral sex. In 2013, this share reached nearly 80 percent.

Abstract

The National Family Health Survey (NFHS) was carried out as the principal activity of a collaborative project to strengthen the research capabilities of the Population Reasearch Centres (PRCs) in India, initiated by the Ministry of Health and Family Welfare (MOHFW), Government of India, and coordinated by the International Institute for Population Sciences (IIPS), Bombay. Interviews were conducted with a nationally representative sample of 89,777 ever-married women in the age group 13-49, from 24 states and the National Capital Territoty of Delhi. The main objective of the survey was to collect reliable and up-to-date information on fertility, family planning, mortality, and maternal and child health. Data collection was carried out in three phases from April 1992 to September 1993. THe NFHS is one of the most complete surveys of its kind ever conducted in India.

The households covered in the survey included 500,492 residents. The young age structure of the population highlights the momentum of the future population growth of the country; 38 percent of household residents are under age 15, with their reproductive years still in the future. Persons age 60 or older constitute 8 percent of the population. The population sex ratio of the de jure residents is 944 females per 1,000 males, which is slightly higher than sex ratio of 927 observed in the 1991 Census.

The primary objective of the NFHS is to provide national-level and state-level data on fertility, nuptiality, family size preferences, knowledge and practice of family planning, the potentiel demand for contraception, the level of unwanted fertility, utilization of antenatal services, breastfeeding and food supplemation practises, child nutrition and health, immunizations, and infant and child mortality. The NFHS is also designed to explore the demographic and socioeconomic determinants of fertility, family planning, and maternal and child health. This information is intended to assist policymakers, adminitrators and researchers in assessing and evaluating population and family welfare programmes and strategies. The NFHS used uniform questionnaires and uniform methods of sampling, data collection and analysis with the primary objective of providing a source of demographic and health data for interstate comparisons. The data collected in the NFHS are also comparable with those of the Demographic and Health Surveys (DHS) conducted in many other countries.

Geographic coverage

National

Analysis unit

• Household
• Data collected for women 13-49, indicators calculated for women 15-49

Universe

The population covered by the 1992-93 DHS is defined as the universe of all women age 13-49 who were either permanent residents of the households in the NDHS sample or visitors present in the households on the night before the survey were eligible to be interviewed.

Kind of data

Sample survey data

Sampling procedure

SAMPLE DESIGN

The sample design for the NFHS was discussed during a Sample Design Workshop held in Madurai in Octber, 1991. The workshop was attended by representative from the PRCs; the COs; the Office of the Registrar General, India; IIPS and the East-West Center/Macro International. A uniform sample design was adopted in all the NFHS states. The Sample design adopted in each state is a systematic, stratified sample of households, with two stages in rural areas and three stages in urban areas.

SAMPLE SIZE AND ALLOCATION

The sample size for each state was specified in terms of a target number of completed interviews with eligible women. The target sample size was set considering the size of the state, the time and ressources available for the survey and the need for separate estimates for urban and rural areas of the stat. The initial target sample size was 3,000 completed interviews with eligible women for states having a population of 25 million or less in 1991; 4,000 completed interviews for large states with more than 25 million population; 8,000 for Uttar Pradesh, the largest state; and 1,000 each for the six small northeastern states. In States with a substantial number of backward districts, the initial target samples were increased so as to allow separate estimates to be made for groups of backward districts.

The urban and rural samples within states were drawn separetly and , to the extent possible, sample allocation was proportional to the size of the urban-rural populations (to facilitate the selection of a self-weighting sample for each state). In states where the urban population was not sufficiently large to provide a sample of at least 1,000 completed interviews with eligible women, the urban areas were appropriately oversampled (except in the six small northeastern states).

THE RURAL SAMPLE: THE FRAME, STRATIFICATION AND SELECTION

A two-stage stratified sampling was adopted for the rural areas: selection of villages followed by selection of households. Because the 1991 Census data were not available at the time of sample selection in most states, the 1981 Census list of villages served as the sampling frame in all the states with the exception of Assam, Delhi and Punjab. In these three states the 1991 Census data were used as the sampling frame.

Villages were stratified prior to selection on the basis of a number of variables. The firts level of stratification in all the states was geographic, with districts subdivided into regions according to their geophysical characteristics. Within each of these regions, villages were further stratified using some of the following variables : village size, distance from the nearest town, proportion of nonagricultural workers, proportion of the population belonging to scheduled castes/scheduled tribes, and female literacy. However, not all variables were used in every state. Each state was examined individually and two or three variables were selected for stratification, with the aim of creating not more than 12 strata for small states and not more than 15 strata for large states. Females literacy was often used for implicit stratification (i.e., the villages were ordered prior to selection according to the proportion of females who were literate). Primary sampling Units (PSUs) were selected systematically, with probaility proportional to size (PPS). In some cases, adjacent villages with small population sizes were combined into a single PSU for the purpose of sample selection. On average, 30 households were selected for interviewing in each selected PSU.

In every state, all the households in the selected PSUs were listed about two weeks prior to the survey. This listing provided the necessary frame for selecting households at the second sampling stage. The household listing operation consisted of preparing up-to-date notional and layout sketch maps of each selected PSU, assigning numbers to structures, recording addresses (or locations) of these structures, identifying the residential structures, and listing the names of the heads of all the households in the residentiak structures in the selected PSU. Each household listing team consisted of a lister and a mapper. The listing operation was supervised by the senior field staff of the concerned CO and the PRC in each state. Special efforts were made not to miss any household in the selected PSU during the listing operation. In PSUs with fewer than 500 households, a complete household listing was done. In PSUs with 500 or more households, segmentation of the PSU was done on the basis of existing wards in the PSU, and two segments were selected using either systematic sampling or PPS sampling. The household listing in such PSUs was carried out in the selected segments. The households to be interviewed were selected from provided with the original household listing, layout sketch map and the household sample selected for each PSU. All the selected households were approached during the data collection, and no substitution of a household was allowed under any circumstances.

THE RURAL URBAN SAMPLE: THE FRAME, STRATIFICATION AND SELECTION

A three-stage sample design was adopted for the urban areas in each state: selection of cities/towns, followed by urban blocks, and finally households. Cities and towns were selected using the 1991 population figures while urban blocks were selected using the 1991 list of census enumeration blocks in all the states with the exception of the firts phase states. For the first phase states, the list of urban blocks provided by the National Sample Survey Organization (NSSSO) served as the sampling frame.

All cities and towns were subdivided into three strata: (1) self-selecting cities (i.e., cities with a population large enough to be selected with certainty), (2) towns that are district headquaters, and (3) other towns. Within each stratum, the cities/towns were arranged according to the same kind of geographic stratification used in the rural areas. In self-selecting cities, the sample was selected according to a two-stage sample design: selection of the required number of urban blocks, followed by selection of households in each of selected blocks. For district headquarters and other towns, a three stage sample design was used: selection of towns with PPS, followed by selection of two census blocks per selected town, followed by selection of households from each selected block. As in rural areas, a household listing was carried out in the selected blocks, and an average of 20 households per block was selected systematically.

Mode of data collection

Face-to-face

Research instrument

Three types of questionnaires were used in the NFHS: the Household Questionnaire, the Women's Questionnaire, and the Village Questionnaire. The overall content

This statistic presents public perceptions on monthly sexual intercourse of men and women aged 18-29 years old, in selected European Countries in 2018. According to data published by Ipsos, most of the respondents in these countries overestimated the number of times young men and women have had sex.

Introduction

OnlyFans Statistics: OnlyFans, a subscription-based social media platform, has rapidly gained popularity in recent years. While its initial purpose was to connect content creators with their fans, it has evolved into a hub for explicit content, sparking debates about its impact on society and the individuals involved.

One of the primary criticisms leveled against OnlyFans is its association with the sex industry. As revealed by OnlyFans Statistics, 70% of the creators publish adult content. Moreover, many content creators on the platform use it to distribute sexually explicit material, often for a fee.

In 2019, the median age of females in New Zealand at divorce was 44.4 years old, an increase from the median recorded in 1996. The first civil unions in the country were celebrated in 2005, and the first same-sex marriages were celebrated in 2013.

This statistic displays the frequency at which Spaniards had sexual intercourse as of August 2020, broken down by gender. According to the latest results made available by YouGov, the most common frequency people aged 25.24 years old had sex in Spain was three to four times a week, as stated by almost a quarter percent of male respondents.

The average age at which Australians got married for the first time increased for both men and women between 1997 and 2021. As of 2021, males who married for the first time were on average 30.8 years old, while females were on average slightly younger at 29.4 years old.

first time marriage

Wedding bells chime

The most popular months to get married in 2017 were October and November, with many Australians opting to have their wedding in spring. In fact, over 20 percent of couples chose their wedding date based on a preference for a specific season.

In 2017, amendments to the Marriage Act meant that same-sex couples in Australia could also get legally married. This may change marriage figures in the years immediately following, with many long-term same-sex couples choosing to get married with this law change.

Happily ever after?

While the average age of first marriages has increased, the number of Australians tying the knot has decreased, with the crude marriage rate decreasing continuously across the country. The divorce rate has decreased over the years, largely related to the reduction in the number of marriages overall. In 2017, almost half of all divorces in Australia involved children; this share has not changed significantly over the past five years.

This statistic shows the average life expectancy in North America for those born in 2022, by gender and region. In Canada, the average life expectancy was 80 years for males and 84 years for females.

Life expectancy in North America

Of those considered in this statistic, the life expectancy of female Canadian infants born in 2021 was the longest, at 84 years. Female infants born in America that year had a similarly high life expectancy of 81 years. Male infants, meanwhile, had lower life expectancies of 80 years (Canada) and 76 years (USA).

Compare this to the worldwide life expectancy for babies born in 2021: 75 years for women and 71 years for men. Of continents worldwide, North America ranks equal first in terms of life expectancy of (77 years for men and 81 years for women). Life expectancy is lowest in Africa at just 63 years and 66 years for males and females respectively. Japan is the country with the highest life expectancy worldwide for babies born in 2020.

Life expectancy is calculated according to current mortality rates of the population in question. Global variations in life expectancy are caused by differences in medical care, public health and diet, and reflect global inequalities in economic circumstances. Africa’s low life expectancy, for example, can be attributed in part to the AIDS epidemic. In 2019, around 72,000 people died of AIDS in South Africa, the largest amount worldwide. Nigeria, Tanzania and India were also high on the list of countries ranked by AIDS deaths that year. Likewise, Africa has by far the highest rate of mortality by communicable disease (i.e. AIDS, neglected tropics diseases, malaria and tuberculosis).

In the United States in 2021, the death rate was highest among those aged 85 and over, with about 17,190.5 men and 14,914.5 women per 100,000 of the population passing away. For all ages, the death rate was at 1,118.2 per 100,000 of the population for males, and 970.8 per 100,000 of the population for women. The death rate Death rates generally are counted as the number of deaths per 1,000 or 100,000 of the population and include both deaths of natural and unnatural causes. The death rate in the United States had pretty much held steady since 1990 until it started to increase over the last decade, with the highest death rates recorded in recent years. While the birth rate in the United States has been decreasing, it is still currently higher than the death rate. Causes of death There are a myriad number of causes of death in the United States, but the most recent data shows the top three leading causes of death to be heart disease, cancers, and accidents. Heart disease was also the leading cause of death worldwide.

There were over 4.7 million people aged between 30 and 34 in the United Kingdom in 2023, making it the most populous age group in that year. Those aged between 35 and 39 years comprised the next most numerous age group in 2023, at over 4.64 million people. Millennials overtake Boomers as biggest generation Post-war demographic trends, particularly the 'baby boom' phenomenon, have significantly influenced the current age distribution in the UK. The postwar peak of live births in 1947 resulted in the dominance of the Baby Boomer generation for several decades, until 2020 when Millennials became the largest generational cohort, surpassing the Boomers for the first time. The following year, the UK Boomer population was then overtaken by Generation X, the generation born between Boomers and Millennials. Generation Z, however, remains smaller than the three generations that preceded it, at 12.9 million individuals in 2022. Aging UK population poses challenges The median age of the UK population is projected to reach 44.5 years by 2050, compared to 34.9 years in 1950. This aging trend is indicative of broader global demographic shifts, with the median age of people worldwide forecasted to increase from 23.6 years in 1950 to 41.9 years by 2100. How countries like the UK manage their aging populations will be one of the key challenges of the next few decades. It is likely the UK's struggling National Health Service (NHS) will come under even more pressure in the coming years. There are also tough economic questions, in particular as more people enter retirement age and the UK's working population gets smaller in relation to it.