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The settlement structure-related characteristics and social processes of Hajdúböszörmény after the millennium
49-56Views:94The spatial structural position of Hajdúböszörmény (ease of access) and its economic and social endowments which are more favourable than those of its surroundings make the town more desirable as a target of migration. These endowments are rather advantageous on their own, but the specific settlement structure of the town results in the fact that concentrated, unmanageable and majorly segregated social crisis points have developed in some easily circumscribable parts of the settlement which could lead to a social explosion.
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Settlement network, demographic circumstances, healthcare, social service and educations in Szabolcs-Szatmár-Bereg county
105-113Views:154Szabolcs-Szatmár-Bereg county shares its borders with three countries: Romania, Ukraine and Slovakia. The county is part of the North Great Plain Region, it is the third largest county of Hungary in terms of its population. The peripheric geographical location of the county gained importance by the EU accession, as the county represents a significant part of the eastern border of the EU.
Szabolcs-Szatmár-Bereg county is one of the counties of the Great Plain with significant population in the outlying areas, out of the six counties of the Great Plain the population of outlying areas is the lowest in the county, its ratio has been significantly reducing in the past decades. In the six counties in 1990 the population of the outlying areas represented 22.3% of the total population, whereas in Szabolcs-Szatmár-Bereg county the ratio was 13.6%. The ratio has dropped to 6.2% and 4.1% respectively.
The major aim of economic development is the improvement of the living conditions of the population, first and foremost by increasing family incomes. There are two main determining factors of family income level: employment ratio and the sectoral structure of employment.
Between 1992–2010 the number of employees in the financial sector decreased from 89 000 to 75 000, whereas the number of employees in the non-financial sector grew dynamically from 40 000 to 65 000. Structural change was significant. In the non-financial sector the proportion of the two main employment fields (education and healthcare) swapped. The number of employees in the education sector decreased from 16 000 to 14 000, while the number of employees in the health and social care sector grew from 11 000 to 22 000.
On the basis of statistics the number of kindergarten and primary school children reduced in the given period, while the number of secondary school aged children increased. In 1999 the number of secondary school children was 1/5th compared to the number of primary school children, whereas in 2010 their number almost reached 1/2. The student number in higher education doubled, which is a favorable phenomenon, though its structural changes raise some problems. The lack of technical trainings hinders exigent industrial development.
Since 1990 the education level of the population has significantly improved, the number and proportion of secondary school students and university graduates have risen much more dynamically than in other regions of the country. In the county the proportion of secondary school students increased 63% more than the national average, while in the case of university graduates the county passed the average national growth by more than 54%. Due to the effect of structural changes the proportion of university graduates in the corresponding age group improved, its backwardness compared to the national average has ameliorated from 34% to 29%, in the group of secondary school graduates the disadvantage has moderated from 26% to 21%. The computer and internet supply, as well as the number of teachers and students enrolled in secondary education institutions have developed dynamically in the county. Their growth has much excelled the national average.