scholarly journals National report 2009-2019 - Rural NEET in Montenegro

2020 ◽  
Keyword(s):  
Young People ◽  
Rural Areas ◽  
Youth Unemployment ◽  
Relative Reduction ◽  
Statistical Procedures ◽  
Graphical Displays ◽  
Early School ◽  
Before And After ◽  
Youth Population ◽  
Public Datasets

This report outlines in detail the situation of rural Youths Neither in Employment, nor in Edu-cation or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Montenegro. To do this, the report utilised indicators of: youth population; youth employment and unemployment; education; and, NEETs distribution. The characterisation of all indicators adopted the degree of urbanisation as a central criterion, enabling propor-tional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age subgroups and, where possible, into sex groups for greater detail. The statistical procedures adopted across the different selected dimensions involve: des-criptive longitudinal analysis; using graphical displays (e.g., overlay line charts); and, the calculation of proportional absolute and relative changes between 2009 and 2013, 2013 and 2019, and finally 2009 and 2019. These time ranges were chosen to capture the in-dicators evolution before and after the economic crisis which hit European countries. All data was extracted from Eurostat public datasets. The analyses show that between 2011 and 2019, the youth population aged 15 to 29 years has been decreasing in Montenegro. Youth unemployment in rural areas is more noticeable, even though the youth unemployment rate is higher in cities. In the field of education, however, there was an absolute and relative reduction in the proportion of young people with lower qualifications and young people in the category of early school leavers in rural areas between 2011-2019. Finally, the proportion of NEETs in Montenegro is higher in rural areas, compared to urban regions, thus revealing territorial inequalities in access to employment and education opportunities.

scholarly journals National report 2009-2019 - Rural NEET in Bulgaria

2020 ◽  
Keyword(s):  
Young People ◽  
Rural Areas ◽  
Age Groups ◽  
Youth Unemployment ◽  
Relative Reduction ◽  
Early School ◽  
Europe 2020 ◽  
Before And After ◽  
Youth Population ◽  
Public Datasets

This report outlines in detail the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Bulgaria. To do this, the report utilised indicators of: youth population; you-th employment and unemployment; education; and, NEETs distribution. The characteri-sation of all indicators adopted the degree of urbanisation as a central criterion, enabling proportional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age subgroups and, where possible, into sex groups for greater detail. The statistical procedures adopted across the different selected dimensions involve: des-criptive longitudinal analysis; using graphical displays (e.g., overlay line charts); and, the calculation of proportional absolute and relative changes between 2009 and 2013, 2013 and 2019, and finally 2009 and 2019. These time ranges were chosen to capture the indi-cators evolution before and after the economic crisis which hit European countries. All data was extracted from Eurostat public datasets. The analyses show that between 2009 and 2019 the rural youth population aged 15 to 24 years has been increasing in Bulgaria. Although the youth unemployment rate is higher in cities, rural areas faced more difficulties in overcoming the effects of the crisis, particularly among young adults aged over 25 years. In the field of education, however, there was an absolute and relative reduction in the proportion of young people with lower qualifications compared with young people in early school leavers in rural areas between 2009-2019, even though it still remains well above the 10% target defined by the Europe 2020 strate-gy. Finally, the proportion of NEETs in Bulgaria is higher in rural areas, in all age groups with available data, compared to cities and towns and suburbs, thereby revealing territorial inequalities in access to employment and education opportunities

scholarly journals National report 2009-2019 - Rural NEET in Portugal

2020 ◽  
Keyword(s):  
Young People ◽  
Rural Areas ◽  
Age Groups ◽  
Youth Unemployment ◽  
Relative Reduction ◽  
Early School ◽  
Europe 2020 ◽  
Europe 2020 Strategy ◽  
Before And After ◽  
Youth Population

This report outlines in detail the situation of rural youths Neither in Employment, nor in Edu-cation or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Portugal. To do this, the report portrays indicators of: youth population; youth em-ployment and unemployment; education; and, NEETs distribution. The characterisation of all indicators adopts the degree of urbanisation as a central criterion, thereby enabling propor-tional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age subgroups and, where possible, into sex groups for greater detail.The statistical procedures adopted across the different selected dimensions involve: des-criptive longitudinal analysis; using graphical displays (e.g., overlay line charts); and, the calculation of proportional absolute and relative changes between 2009 and 2013, 2013 and 2019, and finally 2009 and 2019. These time ranges were chosen to capture the in-dicators evolution before and after the economic crisis which hit European countries. All data was extracted from Eurostat public datasets.The analyses show that between 2009 and 2019 the rural youth population aged 15 to 24 years has been increasing in Portugal. Although the youth unemployment rate is higher in cities, rural areas faced more difficulties in overcoming the effects of the crisis, particularly among young adults aged over 25 years. In the field of education, however, there was an absolute and relative reduction in the proportion of young people with lower qualifications compared with young people in early school leavers in rural areas between 2009-2019, even though it still remains well above the 10% target defined by the Europe 2020 strategy. Finally, the proportion of NEETs in Portugal is higher in rural areas, in all age groups with available data, compared to cities and towns and suburbs, thereby revealing territorial in-equalities in access to employment and education opportunities.

scholarly journals National report 2009-2019 - Rural NEET in Germany

2020 ◽  
Keyword(s):  
Rural Areas ◽  
Youth Unemployment ◽  
Rural Youth ◽  
Youth Employment ◽  
Early School ◽  
Europe 2020 ◽  
Before And After ◽  
Youth Population ◽  
Low Educated ◽  
Public Datasets

This report outlines in detail the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Germany. To do this, the report utilised indicators of: youth population; youth employment and unemployment; education; and, NEETs distribution. The characte-risation of all indicators adopted the degree of urbanisation as a central criterion, enabling proportional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age subgroups and, where possible, into sex groups for greater detail. The statistical procedures adopted across the different selected dimensions involve: des-criptive longitudinal analysis; using graphical displays (e.g., overlay line charts); and, the calculation of proportional absolute and relative changes between 2009 and 2013, 2013 and 2019, and finally 2009 and 2019. These time ranges were chosen to capture the in-dicators evolution before and after the economic crisis which hit European countries. All data was extracted from Eurostat public datasets. The analyses show that the rural youth population aged 15 to 24 years significantly increa-sed between 2009 and 2012 and then decreased slightly until 2019. The youth employment rate in Germany is generally increasing, and is at all times significantly higher in rural areas than in cities, towns and suburbs. The reverse trend applies to youth unemployment, which generally decreased in the observed period and which is at all times lowest in rural areas. A look at educational attainment levels showed a slight decline in rural areas of low educated persons between 2009 and 2019, while the proportion of rural youth with medium and high education slightly increased. At the same time, the proportion of early school leavers in rural areas after an increase until 2011, fell sharply and reached the 2009 level again by 2019. Be-ing 9% in 2019, it remains, at least in rural areas, slightly below the 10% target defined by the Europe 2020 strategy. Finally, the proportion of NEETs in Germany is lower in rural areas in all age classes and as a whole decreased significantly from 2009 to 2019.

scholarly journals National report 2009-2019 - Rural NEET in Croatia

2020 ◽  
Keyword(s):  
Economic Crisis ◽  
Rural Areas ◽  
Youth Unemployment ◽  
Rural Youth ◽  
Unemployment Rates ◽  
Statistical Procedures ◽  
Before And After ◽  
Youth Population ◽  
Higher Educational Attainment ◽  
Public Datasets

This report presents the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) in Croatia, aged between 15 and 34 years old, in the period from 2009 until 2019. To achieve this goal, the report utilised indicators of youth population, youth em-ployment and unemployment, education and NEETs distribution. The characterisation of all indicators adopted the degree of urbanisation as a central criteria, enabling comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further collapsed into age sub-groups and, when possible, in sex groups for greater detail. The statistical procedures adopted across the different selected dimensions involved des-criptive longitudinal analysis, using figures (e.g., line charts) as well as the calculation of abso-lute and relative changes between 2009 and 2013, 2013 and 2019 and 2009 and 2019. These time ranges were chosen to capture the indicators evolution before and after the economic crisis that hit European countries. All data was extracted from Eurostat public datasets. The analyses show that between 2009 and 2019 rural youth population aged 15 to 24 years has been decreasing in Croatia. Youth unemployment was marked by two distinct periods, one from 2009 to 2013 (with higher rates of youth unemployment) and another from 2013 to 2019 (with the decrease in unemployment rates, with lower unemployment rates in ci-ties and higher in towns and suburbs and rural areas). In the field of education, however, there has been a decrease of the Croatian population with lower levels of education and an increase of the proportion of those with higher educational attainment. Finally, the propor-tion of NEETs in Croatia is higher in rural areas compared to cities and towns and suburbs, revealing territorial inequalities in access to employment and education opportunities.

scholarly journals National report 2009-2019 - Rural NEET in Italy

2020 ◽  
Keyword(s):  
Young People ◽  
Rural Areas ◽  
Youth Unemployment ◽  
Drop Out ◽  
Data Sets ◽  
Italian Population ◽  
Public Data ◽  
Before And After ◽  
Youth Population ◽  
Analyse Data

This document describes the Italian situation of young people aged between 15 and 34 years who do not work, do not study and are not in training (NEET), from 2009 to 2019. The report analyses the following indicators of the youth population: employment; unem-ployment; education; and, distribution of NEETs. The criteria adopted to analyse data are mainly the degree of urbanisation, the age group and, where possible, gender. The statistical procedure adopted for the different dimensions selected is descriptive lon-gitudinal analysis and calculation of absolute and relative proportional changes between 2009 and 2013, 2013 and 2019 and between 2009 and 2019. These time intervals have been chosen to capture the evolution of the indicators before and after the economic cri-sis that hit European countries. All data has been extracted from Eurostat public data sets. The data analysed shows how the Italian population decreased slightly between 2009 and 2019. However, what clearly changed is the distribution: increased in rural areas and decreased in cities. Youth unemployment grew strongly from 2009 to 2014, until finally decreasing from 2014 to 2019. Between 2009 and 2019, the Italian population aged from 15 to 24 years old has become more educated. The number of young people who drop out of school early decreased sharply, although rural areas remain the ones with the highest rates thereof. Finally, the NEET rate is one of the highest in the EU and has increased overall from 2009 to 2019. The peak was reached in 2014 and then the share decreased until 2019. Rural areas have the highest rate, although with a very small difference compared to the rate of cities and the national average.

scholarly journals National report 2009-2019 - Rural NEET in Spain

2020 ◽  
Keyword(s):  
Economic Crisis ◽  
Rural Areas ◽  
Urban Areas ◽  
Sharp Decrease ◽  
Rural Youth ◽  
Unemployment Rates ◽  
Graphical Displays ◽  
Early School ◽  
Before And After ◽  
Youth Population

This report outlines in detail the situation of rural Youths Neither in Employment, nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2009-2019) in Spain. To do this, the report utilised indicators of: youth population; youth employment and unemployment; education; and, NEETs distribution. The characterisation of all indicators adopted the degree of urbanisation as a central criterion, enabling propor-tional comparisons between rural areas, towns and suburbs, cities and the whole country. These analyses are further divided into age subgroups and, where possible, into sex groups for greater detail.The statistical procedures adopted across the different selected dimensions involve: des-criptive longitudinal analysis; using graphical displays (e.g., overlay line charts); and, the calculation of proportional absolute and relative changes between 2009 and 2013, 2013 and 2019, and finally 2009 and 2019. These time ranges were chosen to capture the in-dicators evolution before and after the economic crisis which hit European countries. All data was extracted from Eurostat public datasets.In the last ten years (2009 - 2019) a significant portion of the Spanish youth population has migrated from rural areas to cities and towns. This migration trend could be explained by the economic crisis which impacted upon Spain from 2008 onwards. Data shown in this report makes visible the vulnerability of rural NEET youth to these downturns from 2009 to 2013. In line with this, Early-school leaving (ESLET) and unemployment rates in rural areas were more pronounced in 2013 and the following years for rural youth in comparison with youth living in urban areas and towns. However, in the last two years (2017-2019) there has been a sharp decrease in these indicators placing youth living rural areas, on average, in line with the rest (i.e., an average NEET youth rate in Spain 15% versus 16% for rural areas).

scholarly journals National report 2009-2019 - Rural NEET in Serbia

2020 ◽  
Keyword(s):  
Longitudinal Analysis ◽  
Rural Areas ◽  
Employment Rate ◽  
Statistical Interpretation ◽  
Main Criterion ◽  
Statistical Procedures ◽  
Graphical Displays ◽  
Early School ◽  
Youth Population ◽  
National Statistical Office

The situation of rural Youths Neither in Employment nor in Education or Training (NEET) aged between 15 and 34 years old, over the last decade (2010-2019) in Serbia is presen-ted in this report. The main criterion for analysis was the degree of urbanisation, where the comparison was done between rural areas, towns and suburbs, cities, and the whole country. The data available on EUROSTAT and the national Statistical office of Serbia were used as main resources for statistical interpretation. The statistical procedures used in the report rely on descriptive longitudinal analysis, using graphical displays (e.g. overlay line charts) as well as the calculation of proportional abso-lute and relative changes between observed years. The analysis of the youth population in Serbia aged 15-24 years in total as well as the youth population for different degrees of urbaisation, for the period 2010-2019, showed a de-creasing trend. In the period 2014-2019 (which is with available data for the case of Serbia) it can be ob-served that the youth employment rate is increasing in all areas of urbanisation. In contrast to the employment, the level of unemployment in Serbia is constantly decreasing in the period 2014-2019. This trend is similar for all three areas of urbanisation.The decrease in the number of early school leavers is registered in the case of entire Serbia, cities, and rural areas. The only trend of increasing of early school leavers’ rate is recorded for the towns and suburbs, for the observed period 2014-2019.In the period 2010-2019, the NEET rate is declining in Serbia for all three degrees of ur-banisation. In comparison to EU countries, Serbia is still significantly above the European average, but with a tendency of reducing the gap.

scholarly journals Modelling of Social Policy and Initiatives under COVID-19: Rural NEET Youth Case Study

2021 ◽  
Vol 10 (10) ◽  
pp. 393
Author(s):  
Giedrė Kvieskienė ◽  
Ilze Ivanova ◽  
Karmen Trasberg ◽  
Viktorija Stasytytė ◽  
Eglė Celiešienė
Keyword(s):  
Social Policy ◽  
Young People ◽  
Social Exclusion ◽  
Rural Areas ◽  
Urban Areas ◽  
Positive Emotions ◽  
Mental Health Problems ◽  
Youth Unemployment ◽  
Rural Regions

NEET (Not in Education, Employment, or Training) youth rates in Europe are generally higher in rural regions than in urban areas and the share in rural regions is constantly increasing. During the COVID-19 pandemic, young people became even more vulnerable as they experienced social exclusion and mental health problems. The objective of this paper is to analyse NEET youth-related statistics in Europe and distinguish positive initiatives for young people in rural areas of the Baltic countries to encourage positive emotions and willingness to learn. Statistical analysis and case study methods were employed. Data on youth unemployment, NEET youth by age and gender, and poverty and social exclusion of young people, is analysed. Social policy initiatives in Lithuania, Latvia, and Estonia, mainly from rural municipalities, are presented and discussed. This research determines the key issues related to NEET youth and proposes initiatives to overcome existing problems among young people. Such social initiatives aim to promote positive social emotions of youth, promote their inclusion in society, and foster regional sustainability.

scholarly journals Unemployment of rural youth: causes and ways to solve

2018 ◽  
Vol 20 (91) ◽  
pp. 57-61
Author(s):  
O. Ya. Hrumak ◽  
M. V. Vovk ◽  
O. V. Kindrat
Keyword(s):  
Young People ◽  
Rural Areas ◽  
Social Protection ◽  
Youth Unemployment ◽  
Rural Youth ◽  
Agricultural Enterprises ◽  
Career Opportunities ◽  
Green Tourism ◽  
Investment And Financing ◽  
The Impact

The article examines the situation on the rural youth labor market and proposes the main directions of overcoming unemployment in rural areas. In particular, it has been established that the financial and economic crisis that has been observed in recent years and military actions in the east of the country have substantially exacerbated this problem. The problem of youth unemployment is the main among economic and social problems of the 21st century, as one of the most important factors in the economic and social development of any country is the socio-cultural and professional development of the youth. In the work the authors use general scientific methods and techniques: formal logic, statistical analysis – to study the state of employment and unemployment in Ukraine; abstract – in the substantiation of theoretical positions and the formulation of conclusions, etc. Particular attention is paid to statistical components, their analysis, also the main reasons of reduction of number of young people employed in agricultural enterprises and the tendencies of self-employment in rural areas are highlighted. The authors assess the impact of current government policy affecting rural youth employment, and make suggestions for its future development. It is proved that the use of advanced innovative technologies, investment and financing of agrarian development programs, entrepreneurial initiatives in agribusiness and vocational education will all make youth in agriculture the driving force that can bring this industry out of a prolonged crisis. It is summed up that the main directions of promoting employment of rural youth are the improvement of the quality of educational services (in particular, state support through budgeting of training in agricultural specialties), information on career opportunities, support of the development of family-owned agribusiness and creative projects, the development of green tourism and the adequate state social protection of young people. Youth is a social capital that requires priority investment, so this subject needs further research.

scholarly journals El acceso a la educación superior: El caso de jóvenes indígenas de Oaxaca y Guerrero

2017 ◽  
Vol 21 (2) ◽  
pp. 1
Author(s):  
Noemi López-Santiago ◽  
Omar De Jesús Reyes-Pérez
Keyword(s):  
Higher Education ◽  
Young People ◽  
Rural Areas ◽  
Human Development Index ◽  
Indigenous Population ◽  
Review Article ◽  
National Average ◽  
Descriptive Statistics ◽  
Current State ◽  
Youth Population

This literature review article aims to present the current state of the higher education in Guerrero and Oaxaca, Mexico, so that to show the limited access for the young indigenous population and its relationship to poverty. The issue being addressed is of significance since both Mexican states have an average of schooling below the national average: the human development index in Guerrero is 0.679, and in Oaxaca it is 0.681, two of the lowest indexes in the country. By implementing some tools of descriptive statistics and information about the latest school cycles (2013-2014 and 2014-2015), we found that half of youth population in these two states lives in rural areas, one-fourth are speakers of an indigenous language, and only slightly more than ten per cent of indigenous young people over 18 years old belong to the total enrollment of higher education.

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