On January 1, 2023, approximately 8.85 million people living in the Netherlands were male and roughly 8.96 million were female, making the female population in the Netherlands the majority. As this statistic on the life expectancy at birth in the Netherlands shows, women in the Netherlands live some four years longer than men. For this reason it is not surprising that the number of women living in the Netherlands is larger than the number of men. According to a recent forecast, the life expectancy is likely to increase even further in the future, narrowing the gap between the genders to approximately 2.8 years in 2060, but not completely eliminating it.

Actual value and historical data chart for Netherlands Ratio Of Girls To Boys In Primary And Secondary Education Percent

Financial overview and grant giving statistics of Boys & Girls Club of Greater Holland Foundation

Netherlands NL: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 4.200 Ratio in 2016. This records a decrease from the previous number of 4.300 Ratio for 2015. Netherlands NL: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 4.900 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 9.400 Ratio in 1990 and a record low of 4.200 Ratio in 2016. Netherlands NL: Mortality Rate: Under-5: Male: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Netherlands – Table NL.World Bank: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Netherlands NL: Gender Parity Index (GPI): Secondary School Enrollment: Gross data was reported at 1.017 Ratio in 2016. This records an increase from the previous number of 1.015 Ratio for 2015. Netherlands NL: Gender Parity Index (GPI): Secondary School Enrollment: Gross data is updated yearly, averaging 0.956 Ratio from Dec 1971 (Median) to 2016, with 44 observations. The data reached an all-time high of 1.017 Ratio in 2016 and a record low of 0.848 Ratio in 1971. Netherlands NL: Gender Parity Index (GPI): Secondary School Enrollment: Gross data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Netherlands – Table NL.World Bank: Education Statistics. Gender parity index for gross enrollment ratio in secondary education is the ratio of girls to boys enrolled at secondary level in public and private schools.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

This is a dataset used for the online stats training website (https://www.rensvandeschoot.com/tutorials/) and is based on the data used by van de Schoot, van der Velden, Boom, and Brugman (2010).

The dataset is based on a study that investigates an association between popularity status and antisocial behavior from at-risk adolescents (n = 1491), where gender and ethnic background are moderators under the association. The study distinguished subgroups within the popular status group in terms of overt and covert antisocial behavior.For more information on the sample, instruments, methodology, and research context, we refer the interested readers to van de Schoot, van der Velden, Boom, and Brugman (2010).

Variable name Description

Respnr = Respondents’ number

Dutch = Respondents’ ethnic background (0 = Dutch origin, 1 = non-Dutch origin)

gender = Respondents’ gender (0 = boys, 1 = girls)

sd = Adolescents’ socially desirable answering patterns

covert = Covert antisocial behavior

overt = Overt antisocial behavior

Supplementary files for article Supplementary information files for Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants.BackgroundComparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents.MethodsFor this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence.FindingsWe pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls.InterpretationThe height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks.

Period survival tables (per period of 5 years) by gender and age for the population of the Netherlands.

The table shows how many boys or girls from a group of 100 thousand newborns will reach the age of ½, 1½, 2½ etc. years. It can also be seen how old these children will be on average.

The following breakdowns are possible: — Mortality rate by sex and age; — Living (table population) by gender and age; — Deceased (table population) by gender and age; — Life expectancy by gender and age.

Data available from period 1861 to 1866 to period 2006 to 2011.

Status of the figures: All figures in the table are final.

Changes as at 31 March 2016: None, this table has been discontinued.

When will there be new figures? No longer applicable. This table is followed by the Life Expectancy Table; gender, age (per year and per period of 5 years). See paragraph 3.

This table contains forecasts of the period survival tables (per period of 1 year) by gender and age (as of 31 December) for the population of the Netherlands. The table shows how many boys or girls from a group of 100 thousand newborns will reach the age of 0, 1, 2 etc. by 31 December of the year of observation. It is also possible to read how old these children will become on average if the mortality rates of the prognosis year were to apply throughout their lives. This period-life expectancy can therefore best be interpreted as a summary measure of mortality rates in a calendar year. See section 4 for an explanation of the difference between the period survival table and a cohort survival table.

The table can be broken down by mortality, the number of people living (table population), the number of deceased (table population) and the period-life expectancy by sex and age.

Data available: 2016-2060

Status of the figures: The figures in this table are forecast figures calculated.

Changes as of 19 December 2017: This table has been discontinued. See paragraph 3 for the successor to this table.

Changes as of 16 December 2016: None, this is a new table in which the previous forecast has been adjusted based on the observations now available. The forecast period now runs from 2016 to 2060.

When are new figures coming? The frequency of appearance of this table is one-off. The new population forecast table will be published in December 2017.

Netherlands NL: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 2.900 Ratio in 2016. This records a decrease from the previous number of 3.000 Ratio for 2015. Netherlands NL: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 3.400 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 5.900 Ratio in 1990 and a record low of 2.900 Ratio in 2016. Netherlands NL: Mortality Rate: Infant: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Netherlands – Table NL.World Bank: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Netherlands NL: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This stayed constant from the previous number of 1.000 NA for 2015. Netherlands NL: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No data is updated yearly, averaging 1.000 NA from Dec 2015 (Median) to 2017, with 2 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 1.000 NA in 2017. Netherlands NL: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Netherlands – Table NL.World Bank.WDI: Policy and Institutions. Law prohibits or invalidates child or early marriage is whether there are provisions that prevent the marriage of girls, boys, or both before they reach the legal age of marriage or the age of marriage with consent, including, for example, a prohibition on registering the marriage or provisions stating that such a marriage is null and void.; ; World Bank: Women, Business and the Law.; ;

This statistic displays the share of youth agreeing sex without a relationship or love is fine in the Netherlands in 2012 and 2017, by gender. In 2012, ** percent of the girls said it was fine to have sex without being in love with your partner. In 2017, this had increased to ** percent. Of the boys, in 2012 ** percent agreed that sex without love was fine. By 2017, the share of boys agreeing to this had also increased, to ** percent.

This statistic displays the results of a survey of the share of teenagers who have smoked at least once in the Netherlands from 1992 to 2017, by gender. The survey results indicate that the share of teenagers who had tried smoking cigarettes decreased steadily over the years. in 2017, less than ** percent of teenagers had tried smoking at least once. Meanwhile, the share of girls who had tried smoking was consistently lower than the share of boys who did so.