Switzerland Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data was reported at 7.650 % in 2016. This records a decrease from the previous number of 7.980 % for 2015. Switzerland Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data is updated yearly, averaging 7.275 % from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 8.390 % in 2009 and a record low of 6.390 % in 2008. Switzerland Share of Youth Not in Education, Employment or Training: Male: % of Male Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average;

About this dataset

Context

The dataset tabulates the data for the Switzerland County, IN population pyramid, which represents the Switzerland County population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Switzerland County, IN, is 31.6.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Switzerland County, IN, is 29.8.
• Total dependency ratio for Switzerland County, IN is 61.4.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Switzerland County, IN is 3.4.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Switzerland County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Switzerland County for the selected age group is shown in the following column.
• Population (Female): The female population in the Switzerland County for the selected age group is shown in the following column.
• Total Population: The total population of the Switzerland County for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Switzerland County Population by Age. You can refer the same here

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Switzerland: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

Share of youth not in education, employment or training, total (% of youth population) in Switzerland was reported at 6.611 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Switzerland - Share of youth not in education, employment or training, total - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

About this dataset

Context

The dataset tabulates the data for the Swiss, Wisconsin population pyramid, which represents the Swiss town population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Swiss, Wisconsin, is 16.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Swiss, Wisconsin, is 71.5.
• Total dependency ratio for Swiss, Wisconsin is 88.0.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Swiss, Wisconsin is 1.4.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Swiss town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Swiss town for the selected age group is shown in the following column.
• Population (Female): The female population in the Swiss town for the selected age group is shown in the following column.
• Total Population: The total population of the Swiss town for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Swiss town Population by Age. You can refer the same here

The youth unemployment rate in Switzerland saw no significant changes in 2024 in comparison to the previous year 2023 and remained at around 7.94 percent. However, 2024 marked the second consecutive increase of the youth unemployment rate. The youth unemployment rate refers to the share of the economically active population aged 15 to 24 currently without work but in search of employment. The youth unemployment rate does not include economically inactive persons such as the long-term unemployed or full-time students.Find more statistics on other topics about Switzerland with key insights such as labor participation rate among the total population aged between 15 and 64.

Switzerland Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data was reported at 6.390 % in 2016. This records a decrease from the previous number of 6.740 % for 2015. Switzerland Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data is updated yearly, averaging 6.615 % from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 7.690 % in 2009 and a record low of 5.710 % in 2011. Switzerland Share of Youth Not in Education, Employment or Training: Female: % of Female Youth Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank: Employment and Unemployment. Share of youth not in education, employment or training (NEET) is the proportion of young people who are not in education, employment, or training to the population of the corresponding age group: youth (ages 15 to 24); persons ages 15 to 29; or both age groups.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average;

Switzerland Employment To Population Ratio: Modeled ILO Estimate: Aged 15-24: Male data was reported at 62.083 % in 2017. This records a decrease from the previous number of 62.089 % for 2016. Switzerland Employment To Population Ratio: Modeled ILO Estimate: Aged 15-24: Male data is updated yearly, averaging 64.120 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 70.742 % in 1991 and a record low of 60.751 % in 2005. Switzerland Employment To Population Ratio: Modeled ILO Estimate: Aged 15-24: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections. National estimates are also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Data for Good Meta. High resolution population estimates for Switzerland. Includes total population, men, women, women of reproductive age, elderly, youth, and children subgroups. Creative Commons Attribute International License.

To facilitate population data retrieval across scale, we segment spatial coverage into equal sized tiles. GPU enabled spatial join via RapidsAI was employed to assign population information with each vector tile.

Reference: Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 7 April 2023.

The labor participation rate among the total population aged between 15 and 64 in Switzerland saw no significant changes in 2024 in comparison to the previous year 2023 and remained at around 84.02 percent. However, 2024 marked the second consecutive increase of the labor participation rate. The labor force participation rate is the share of people aged 15 and over who are economically active (i.e. employed or actively searching for work). It is calculated by dividing the economically active population aged 15 and over by the total population aged 15 and over.Find more statistics on other topics about Switzerland with key insights such as youth unemployment rate.

Abstract

1.1 Introduction Improving sexual and reproductive health is a public health priority, and the timing of first sexual intercourse and the context in which it occurs both have health implications. Moreover, information and monitoring about sexual behavior is essential to the design and assessment of interventions to improve sexual health. The last survey centered on the sexual and reproductive health of adolescents/young adults in Switzerland was carried out in 1995. Since then, all data on the subject come from general surveys. As contextual factors, the life contexts of youths explain a large amount of the variance in sex related behaviors, and a fair amount of new developments have appeared in the last twenty years that might have had an impact on youth’s sexual behavior: AIDS has gone from a fatal to a chronic condition, there has been a liberalization of the access to emergency contraception, Swiss law changed in 2002 and allowed abortion in the first 12 weeks of pregnancy, the HPV vaccine is recommended as part of the vaccination program (for girls since 2008 and for boys since 2016), sildenafil citrate (e.g. Viagra®) has appeared on the market as a treatment for erectile dysfunction, pornography has become extremely accessible and free, phenomena of online sex and sexting have emerged. These changes might have an impact on adolescent sexual behaviors although we do not know how and to what extent. This survey provides self-reported information from young adults in Switzerland. The primary objective was to obtain current epidemiological data on young people’s sexual and reproductive health and behaviors. 1.2 Methods The survey comprised three parts: two of them contained questions on socio-demographic characteristics of the participants (part 1) and on their sexual and health behavior (part 3), and one part was a life history calendar (LHC, part 2). In the LHC, participants were asked to identify the period of occurrence of different life events. The aim of the LHC was to facilitate recollection and dating of personal events by referencing each of them to other key events or milestones of their life (e.g. moving to a new residence or obtaining one’s drive licence). The initial sample was provided by the Swiss Federal Office of Statistics, and it was representative of the entire population living in Switzerland in terms of sex, language, and canton of residence. This sample included 49’798 individuals aged between 24 and 26 years old on 30 September 2016 (birthdate between 01 October 1989 and 30 September 1992). Starting on the 8th June 2017, a first invitation letter was sent to 10’000 individuals. To ensure the operation of the server and allow adjustments in case of problems, the remaining letters (39’798) were sent in two different waves (9 June and 30 June). Depending on the canton of residence, the letter was sent either in French and German, or in Italian and German. The initial goal was to obtain 10’000 answers, but it rapidly appeared that respondents were more reluctant than anticipated to participate in the survey. Moreover 2’402 (4.8%) letters were returned by the postal service, 12 (0.02%) e-mails were sent by parents or caregivers to inform that the person was disabled, had gone abroad or did not speak one of the three languages and 16 (0.03%) letters were returned by participants themselves to say that they did not want to participate. In September 2017, it was decided to send a reminder to 10’000 people randomly chosen among the ones having not answered yet and not being part of the returned letters. Data collection ended on 26 November 2017. The final sample included 7’142 people aged between 24 and 26 years and living in Switzerland at the time of the addresses delivery (30 September 2016). This corresponds to a response rate of 15.1%. Among them 5’618 individuals completed the entire questionnaire or a significant part of it (11.9%, or 78.7% of all respondents). After computing the distribution of the main socio-demographic variables available in the survey and for which the true population-level distribution was known, we had to correct the sample distribution using weights for two characteristics: sex and canton of residence because females from the French part of Switzerland were overrepresented in the participants. Weights were computed for those who abandoned during the third part of the questionnaire and those who completed it until the end (even if they omitted some questions). 1.3 Results Overall 94% of females and 89% of males had ever been in a steady relationship. Around three out of every four participants were currently in one such relationship. The great majority (95%) of respondents had ever had sexual partners, most of them between 2 and 7. About 5% had never had a sexual partner. Most (94%) had also had had sexual partners in the past 12 months, but in this case it was mainly only one. Over 70% of males and females had ever had casual sexual partners, but the percentage decreased to around only one quarter in the last 30 days. The majority of respondents (86%) had only had heterosexual contacts, however 15% of females and 13% of males had either homosexual or bisexual experiences. The mean age at first sexual contact was just under 17 years. Almost all respondents (96%) had ever had oral sex, most of them with an opposite-sex partner. The vast majority (95%) had had vaginal sex and half of respondents had it at least weekly. The same percentage of females and males (49%) reported ever having had anal intercourse. Participants reporting having had sex with multiple partners at the same time, using medication to enhance sexual performance, or being blackmailed were a small minority. Those having ever had intercourse with someone met on the Internet accounted for 22% of females and 35% of males. More than half of males (56%) and 46% of females had ever had intercourse while intoxicated. Eleven percent of females had ever been pregnant and 8% of males declared ever having had a partner pregnant. Among females, the pregnancy was mainly continued (57.6%) and in almost 30% of the cases interrupted. Among males, pregnancy was continued in 49% of cases and interrupted in 42% of them. An important percentage (45%) of youths had ever had HIV testing, with females slightly outnumbering males. Almost all reported a negative result. Close to one youth in 10 reported ever having had a diagnosed sexually transmitted infection. Chlamydia was the most commonly reported among females and males. The vast majority (93%) of respondents had used some kind of contraception / protection at their first intercourse, mainly male condoms. However, at last intercourse contraception / protection methods were more equally distributed between male condom and contraceptive pill. All other contraception methods represented less than 5%, with the exception of intrauterine device (IUD) and vaginal ring. Around 90% of both males and females reported being only or strongly attracted to people of the opposite sex, and males (4.6%) outnumbered females (1.8%) in reporting same sex attraction. It is worth noting that 0.6% of females and 0.4% of males declared not feeling attracted to anyone. The vast majority of participants (92%) described themselves as heterosexuals, around 6% homosexuals or bisexuals, slightly under 2% did not know and 0.6% indicated the option other. About one female in nine reported a sexual dysfunction. Among males, 17.5% indicated premature ejaculation and the same percentage erectile dysfunction, although only 0.6% declared it to be moderate or severe. There was an important difference in lifetime unwanted sexual experiences and in having ever been victim of sexual assault or abuse between females and males, with females largely outnumbering males. Two females out of every 5 (40%) and 8% of males had received the HPV vaccine. However, it is worth noting that half of males and over one-fifth of females did not know whether they had been vaccinated. Almost half of females had ever used emergency contraception and close to two-fifths of males reported their partner having ever used it. Respondents indicating that they (or their partner) used emergency contraception as their main contraception method were very few. Males outnumbered females in online sexual activity. Almost 3 out of 4 reported having already sent a sexy text-only message without photo, a sexy photo and / or a video of themselves. On the other end, almost 80% of participants had already received such messages. There were no gender differences for these two actions. However, 22% reported having already forwarded such messages to other persons without consent. In this case, males were overrepresented. 1 SUMMARY 12 RAISONS DE SANTÉ 291 Males were slightly more likely than females to have received something or obtained an advantage in exchange of sexual intercourse, but it remained a small minority. On the contrary, males clearly outnumbered females in ever giving something or offering an advantage in exchange of sexual intercourse. 1.4 Conclusions Overall, youth in Switzerland report a healthy sexuality. However, young people being active on online sex need to be further analyzed regarding both the frequency of this practice and the potential risk they incur in. Unfortunately, women continue to be overrepresented in the cases of unwanted sexual experiences and sexual abuse. Contrary to popular belief, sexual dysfunctions are relatively common among young people. There is a sizeable percentage of youth who have exchanged sexual favors for money, goods or services, who have had sexual relationships while intoxicated or group sex. Reliable contraceptive / protective use is the norm in this age group and it varies from first to last intercourse. Male condom and hormonal contraception are the most used by far. Emergency contraception is a clear option in cases when

The statistic shows the unemployment rate in Switzerland from 1999 to 2023. In 2023, Switzerland's unemployment rate amounted to around 4.04 percent. Switzerland's economy Due to a fairly prosperous and stable economy, Switzerland has essentially become the world’s investment safe haven over the past several decades and one of the globally leading economical leaders. Switzerland primarily thrives due to its services sector, which partially profits from large amounts of tourism, as well as from its manufacturing sector. Due to the country’s low population, Switzerland has simultaneously maintained a low unemployment rate. The majority of employed workers in the country possess a relatively high level of education and are specialized, which essentially allows for the country to offer high end jobs with higher wages, and often guarantees a higher level of productivity and efficiency. As a result, Swiss adults have on average the most amount of money compared to the average amount around the world, beating out countries such as the United States. Despite experiencing the early 2000s recession, 2008 global financial crisis as well as the Eurozone crisis, Switzerland has still sustained a high production of goods and services within the country, being ranked as one of the most efficient and productive countries in the world). Additionally, Swiss households are made up of one of the highest percentages of millionaires in the world, which is made possible by the country’s low tax rates.

Switzerland Employment To Population Ratio: National Estimate: Aged 15-24 data was reported at 63.130 % in 2017. This records an increase from the previous number of 62.490 % for 2016. Switzerland Employment To Population Ratio: National Estimate: Aged 15-24 data is updated yearly, averaging 63.130 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 69.320 % in 1991 and a record low of 59.900 % in 2005. Switzerland Employment To Population Ratio: National Estimate: Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15-24 are generally considered the youth population.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Background

There is substantial evidence showing that mental health of young people has been more vulnerable to the COVID-19 pandemic than that of other age groups in Western well-off countries, including Switzerland and Germany [1-5]. However, studies of a longer trend, spanning pre-, during post-pandemic period tend to suggest that young people adapted to the challenges of the pandemic. That is, an initial increase in mental health problems has been to some extent compensated by a decline, with the trend going back to baseline – that is characterised by a continuous overall rise in mental health problems [5]. We are not aware of any existing quantitative research on how the mental health of children in care has evolved during the pandemic, with qualitative interviews constituting most of the evidence to date.

Mental health of children in care

As shown by the interviews conducted across professions with child protection responsibilities in the United Kingdom, referrals were more serious and complex during the pandemic [6, 7]. This might have been due to delays in identifying the children’s needs, because of the reduced contact with professionals [6, 7]. Moreover, transitioning to online forms of contact disrupted communication between children in care and their biological families, and between children and their caregivers, hindering reunification [8-11]. This might have contributed to the children feeling abandoned, which could negatively impact their mental health [12]. Finally, interviews with representatives from 67 non-governmental organisations in 14 different countries indicated that, because of the pandemic, children in residential care were being returned to their biological families without receiving appropriate preparation and counselling, potentially resulting in greater risk to these children [13]. On the other hand, some children reported improved mental health during the lockdowns. This was due to reduced pressure associated with not having to attend school, which was often a source of conflict with their carers [7]. Others appeared to enjoy better mental health due to improved relationships with carers and residential staff as they spent more time together [12]. Also, there were some reports of relationships between young people and families being perceived as more supportive during the pandemic, which could have also contributed to better mental health of young people in care [7, 14]. Hence, based on the current, mainly qualitative, evidence it is difficult to speculate about the nature of the population-average trend in mental health of young people in care. The experiences of children in care appear to be highly heterogeneous, which could be associated both improved and worsened mental health.

Discrepancies between children’s and caregiver’s reports

Another layer of complexity is that the trends may vary depending on who provides information about young people’s mental health. Studies show only moderate correlations between reports by young people themselves and their parents, teachers or stepparents [15-17]. A recent study investigated trends in mental health of Dutch children and adolescents (8–18 years), both from general and clinical populations, comparing reports of children and their parents [18]. It found that while in the general population the child and parents reports followed a similar secular trend – with internalising problems increasing between the pre-pandemic and during pandemic – in the clinical population there was a substantial discrepancy between the informants. Children in the clinical population disclosed increasing internalising problems from pre-pandemic and over the course of the pandemic, while a stable trend was observed in parental reports. The predictors of these disagreements are unknown. When parents reported more symptoms in previous studies, low educational level of the parent, low income and male gender of the child, parents’ mental health and the quality of parent-child relationships appeared to be important in explaining parent-child discrepancies [16, 19]. Due to these disagreements, it is important to examine trends in mental health among children in care across different informants, as they may point towards differences findings.

References 1. Blendermann M, Ebalu TI, Obisie-Orlu IC, Fried EI, Hallion LS. A narrative systematic review of changes in mental health symptoms from before to during the COVID-19 pandemic. Psychol Med. 2023:1-24. 2. Cénat JM, Farahi SMMM, Dalexis RD, Darius WP, Bekarkhanechi FM, Poisson H, et al. The global evolution of mental health problems during the COVID-19 pandemic: A systematic review and meta-analysis of longitudinal studies. Journal of Affective Disorders. 2022;315:70-95. 3. Sun Y, Wu Y, Fan S, Dal Santo T, Li L, Jiang X, et al. Comparison of mental health symptoms before and during the covid-19 pandemic: evidence from a systematic review and meta-analysis of 134 cohorts. BMJ. 2023;380:e074224. 4. Prati G, Mancini AD. The psychological impact of COVID-19 pandemic lockdowns: a review and meta-analysis of longitudinal studies and natural experiments. Psychol Med. 2021;51(2):201-11. 5. Gondek D, Vandecasteele L, Sánchez-Mira N, Steinmetz S, Mehmeti T, Voorpostel M. The COVID-19 pandemic and wellbeing in Switzerland-worse for young people? Child and Adolescent Psychiatry and Mental Health. 2024;18(1):67. 6. Baginsky M, Manthorpe J. The impact of COVID-19 on Children’s Social Care in England. Child Abuse & Neglect. 2021;116:104739. 7. Driscoll J, Hutchinson A, Lorek A, Kiss K, Kinnear E. Hearing the Voice of the Child through the Storm of the Pandemic: The Impact of covid-19 Measures on the Detection of and Response to Child Protection Concerns. The International Journal of Children's Rights. 2021;29(2):400-25. 8. Haffejee S, Levine DT. 'When will I be free': Lessons from COVID-19 for Child Protection in South Africa. Child Abuse Negl. 2020;110(Pt 2):104715. 9. Neil E, Copson R, Sorensen P. Contact during lockdown:How are children and their birth families keeping in touch? Briefing paper. London: Nuffield Family Justice Observatory/University of East Anglia; 2020. 10. Callejas LM, Abella AD, Ismajli F. Rapid Ethnographic Assessment of Pandemic Restrictions in Child Welfare: Lessons from Parent and Provider Experiences. Human Organization. 2020;79(4):304-12. 11. Singer J, Brodzinsky D. Virtual parent-child visitation in support of family reunification in the time of COVID-19. Developmental Child Welfare. 2020;2(3):153-71. 12. Ofsted. COVID-19 series: briefing on children's social care. Manchester, UK: The Office for Standards in Education, Children’s Services and Skills (Ofsted) 2020. 13. Wilke NG, Howard AH, Pop D. Data-informed recommendations for services providers working with vulnerable children and families during the COVID-19 pandemic. Child Abuse Negl. 2020;110(Pt 2):104642. 14. Ferguson H, Kelly L, Pink S. Research Briefing Two: Disruption and renewal of social work and child protection during COVID-19 and beyond. Birmingham, UK: University of Birmingham; 2020. 15. Rescorla LA, Ewing G, Ivanova MY, Aebi M, Bilenberg N, Dieleman GC, et al. Parent–Adolescent Cross-Informant Agreement in Clinically Referred Samples: Findings From Seven Societies. Journal of Clinical Child & Adolescent Psychology. 2017;46(1):74-87. 16. Brocker SA, Steinbach A, Augustijn L. Parent-child Discrepancies in Reporting Children’s Mental Health: Do Physical Custody Arrangements in Post-separation Families Matter? Child Indicators Research. 2024;17(1):197-220. 17. Van Roy B, Groholt B, Heyerdahl S, Clench-Aas J. Understanding discrepancies in parent-child reporting of emotional and behavioural problems: Effects of relational and socio-demographic factors. BMC Psychiatry. 2010;10(1):56. 18. Fischer K, Tieskens JM, Luijten MAJ, Zijlmans J, van Oers HA, de Groot R, et al. Internalizing problems before and during the COVID-19 pandemic in independent samples of Dutch children and adolescents with and without pre-existing mental health problems. Eur Child Adolesc Psychiatry. 2023;32(10):1873-83. 19. Van Roy B, Groholt B, Heyerdahl S, Clench-Aas J. Understanding discrepancies in parent-child reporting of emotional and behavioural problems: Effects of relational and socio-demographic factors. BMC Psychiatry. 2010;10:56. 20. Döpfner M, Plück J, Kinnen C, Arbeitsgruppe Deutsche Child Behavior Checklist. CBCL/4-18R, YSR and TRF: German school-age forms of the Child Behavior Checklist by Thomas M. Achenbach. Göttingen: Hogrefe; 2014. 21. Achenbach TM, Rescorla LA. Manual for the ASEBA school-age forms & profiles: an integrated system of mult-informant assessment. Burlington: University of Vermont, Research Center for Children, Youth & Families; 2001. 22. Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling. 2007;14(3):464-504. 23. Ditzen J, Karavias Y, Westerlund J. Testing and Estimating Structural Breaks in Time Series and Panel Data in Stata," Discussion Papers 21-14. Department of Economics, University of Birmingham: Birmingham, UK; 2021. 24. Bai J, Perron P. Estimating and Testing Linear Models with Multiple Structural Changes. Econometrica. 1998;66(1):47-78.

The number of young Italians who emigrated abroad increased steadily in the last years. The main emigration countries were Germany, the United Kingdom, Switzerland, and France. Young people represented the largest part of the population leaving Italy. More specifically, in 2017 12.6 thousand Italians aged between 18 and 39 years moved to the United Kingdom, the main destination for young people. Germany was the second most popular migration country for people in this age group. In 2017, 10.6 thousand Italians left Italy for Germany.

CH：未受教育、无业或未受培训青少年比例：共计：占青年人口百分比在12-01-2016达7.030%，相较于12-01-2015的7.370%有所下降。CH：未受教育、无业或未受培训青少年比例：共计：占青年人口百分比数据按年更新，12-01-2003至12-01-2016期间平均值为7.105%，共14份观测结果。该数据的历史最高值出现于12-01-2009，达8.050%，而历史最低值则出现于12-01-2007，为6.230%。CEIC提供的CH：未受教育、无业或未受培训青少年比例：共计：占青年人口百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的瑞士 – 表 CH.世界银行：就业和失业。