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Living Standards Measurements Study - Serbia 2002 - 2007

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Table 4.5. Migration and educational level (percent)<br />

Non-mover<br />

Migrant<br />

Not poor Poor Not poor Poor<br />

Total 92.6 7.4 94.6 5.4<br />

Preschool children and primary school pupils 91.4 8.6 86.8 13.2<br />

No school 68.3 31.7 78.6 21.4<br />

Incomplete primary school 82.7 17.3 88.8 11.2<br />

Primary school 90.4 9.6 92.7 7.3<br />

One/two year vocational school 90.9 9.1 93.8 6.2<br />

Secondary – three-year and for skilled workers 95.5 4.5 95.3 4.7<br />

Secondary – four-year and for highly skilled workers 96.1 3.9 97.7 2.3<br />

Gymnasium 98.9 1.1 98.8 1.2<br />

Postsecondary non-university institution 99.0 1.0 99.4 0.6<br />

University 100.0 0.0 99.3 0.7<br />

Masters, Doctoral degree 100.0 0.0 100.0 0.0<br />

They are followed by Vojvodina (7.5 percent), West<br />

<strong>Serbia</strong> (8.9 percent) and East <strong>Serbia</strong> (10 percent)<br />

while the highest percentage can be found in SE<br />

<strong>Serbia</strong> (16.2 percent).<br />

The ranking of the regions according to the<br />

proportion of poor migrants is as follows: Belgrade<br />

(3.5 percent), Sumadija (4.2 percent) and Vojvodina<br />

(4.3 percent) are below the overall average. West<br />

<strong>Serbia</strong> is in 4 th position (with 7.6 percent), then SE<br />

<strong>Serbia</strong> (with 8.8 percent) and East <strong>Serbia</strong> is last<br />

(with 10 percent).<br />

It is clear from this regional ranking that only<br />

in Belgrade and Sumadija the proportion of the poor<br />

in non-mover population is lower than the<br />

proportion of the poor in the migrant population. It<br />

is interesting to note that the proportion of the poor<br />

citizens within the non-mover and migrant<br />

population is the same (10 percent) in East <strong>Serbia</strong>.<br />

However, in relation to the overall average, West,<br />

East and SE <strong>Serbia</strong> have above-the-average<br />

proportions of the poor both in the non-mover and<br />

migrant structure.<br />

Regional differences according to poverty and<br />

migration status resulted from the long-term<br />

demographic and socio economic processes in the<br />

second half of the 20 th century. In order to change<br />

their status, the young left rural settlements, moving<br />

mainly to the big cities or regional centres where it<br />

was easier to find work or because there were more<br />

opportunities for additional schooling and advanced<br />

studies. So, while the urban population was getting<br />

demographically younger, the rural settlements were<br />

slowly disappearing and the rural population was<br />

rapidly ageing. In the mid 60s an economic crisis<br />

led to a reduction of country-to-town migration but<br />

a wave of young able-to-work people moved<br />

Migration in <strong>Serbia</strong><br />

abroad, mainly towards the Western European<br />

countries.<br />

The depopulation of rural areas was<br />

accompanied by the ageing process of its<br />

population 1 which brought about the higher<br />

concentration of the poor in the non-mover, rural<br />

population, especially in East and SE <strong>Serbia</strong>. At the<br />

same time, as Graphs 1 and 2 indicate, there is a<br />

greater relative proportion of poor children younger<br />

than 15 among migrants than among non-movers.<br />

The distribution of type of settlement and<br />

region in relation to poverty status is also correlated<br />

with the educational structure of the population<br />

(Table 5). Belgrade and Vojvodina are the two<br />

regions with an above average proportion of urban<br />

population. At the same time, in these regions there<br />

are a high proportion of people who graduated from<br />

some higher-ranking school than the 8-year primary<br />

school. Having in mind that both in the non-mover<br />

and migrant population the absolute and relative<br />

proportions of the poor decline with the increase in<br />

educational level, it is quite understandable that<br />

these populations are the least affected by poverty.<br />

For example, within the non-mover, as well as the<br />

migrant population, the most affected by poverty are<br />

the persons without primary school while the risk of<br />

poverty is decreasing as the educational level goes<br />

up. LSMS <strong>2007</strong> did not interview any person in the<br />

non-mover population with a university degree,<br />

Masters or Doctoral degree living below the poverty<br />

line. Only 0.7 percent of people with university<br />

degree in the migrant group were poor while there<br />

were no poor people among the persons with<br />

Masters or Doctoral degrees.<br />

53

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