Living Standards Measurements Study - Serbia 2002 - 2007

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However, there is an increase in the proportion of single member households (from 17.5 percent in 2003 to 18.6 percent in 2007) and households with five and more members (from 16.4 percent in 2003 to 18.2 percent in 2007). The increase of the proportion of single member households is expected, firstly due to the ageing process of the population which adds to the number of single member households of senior citizens both in urban and rural settlements. On the other hand, the increase in the proportion of the households consisting of many members, in a country with a low birth rate, indicates the still widespread tradition of several generations of blood relatives living together (multi-generation families). This phenomenon is especially common in rural areas where the proportion of the households with five and more members (23.4 percent) is practically equal to the proportion of the households with two members (23.3 percent). Nuclear families with children are the most common type of household in Serbia (31.3 percent). Multi-generational families are in second place (23.5 percent) and then come elderly households (17.4 percent). The distribution of household type varies by type of settlement. As much as 35 percent of households in urban settlements belong to the category of nuclear families, compared to 25.6 percent in rural areas. On the other hand, there are more multi-generational families in rural areas (30.5 percent). This could be the result of a lack of economic and material security, preventing people from leaving families to set up their own home, as well as the agricultural based activity of the rural population. Elderly households are more common in rural areas (20.9 percent in villages compared to 15.1 percent in towns) while the proportion of singles under 65 years of age is slightly smaller in villages than in towns (6.7 percent compared to 8.1 percent). 3.5. Conclusion 1. The gender composition of Serbia’s population has not changed significantly compared to 2003. It is still characterized by a higher proportion of women except in the youngest age groups (0-14 and 15-29). 2. The regional aspect of age structure of the population indicates that, apart from Belgrade and Vojvodina (areas with more migration) the majority of the population are aged 60+. The high proportion of elderly in Serbia makes it one of the “oldest” European countries. 3. The population structure by marital status does not show any major changes compared to 2002 or 2003. However, the comparison of the marital structure of the total population and marital structure of the poor reveals a greater proportion of widowed among the poor, which additionally underlines the poverty of the oldest citizens of Serbia. 4. Although, compared to the results of the Census 2002 and LSMS 2002 and 2003 there were no major changes within the threefold division of active population, those with personal income and supported persons. There is however an increase in the proportion of the active population owing to the slight increase of active people engaged in the informal sector. Endnotes, Part 3 1 In 2006, life expectancy in Serbia was 75.9 years for women and 70.6 years for men. 2 Although there is a slight increase in the proportion of the households with three and more children (2.9 percent in 2003 compared to 3.3 percent in 2007) this is not due to the increase of fertility in the period between the surveys. 3 This category includes active persons for whom it was not possible to obtain a response. 4 The average household size in Belgrade and Vojvodina is 3 members; West Serbia and Sumadija 3.2; East Serbia 3.1 and South East Serbia 3.4 members. 48 Living Standards Measurements Study - Serbia 2002 - 2007
Vladimir Stankovic Migration in Serbia 4 4.1. Composition of non-movers and migrants by age and gender............................................................50 4.2. Type of settlement and region ............................................51 4.3. Ethnicity of non-movers and migrants..................................54 4.4. Households according to the migratory characteristics of their members..............................................................54 4.5. Conclusion .......................................................................56 49
Page 1: Living Standards Measurement Study
Page 4 and 5: Publisher: Statistical Office of th
Page 6 and 7: The statistical system of Serbia ha
Page 9: Living Standards Measurements Study
Page 12 and 13: 1. POVERTY PROFILE IN SERBIA IN THE
Page 14 and 15: Absolute and extreme poverty of Rom
Page 16 and 17: Table 1.4. Subjective evaluation of
Page 18 and 19: However, notwithstanding the highli
Page 20 and 21: Table 1.8. Poverty by regions in Se
Page 22 and 23: 1.9. Education and demographic feat
Page 24 and 25: Table 1.14. Poverty by household ty
Page 26 and 27: Table 1.16. Regression of consumpti
Page 28 and 29: 2. The total number of the poor hal
Page 31 and 32: Natasa Mijakovac Income and expendi
Page 33 and 34: Aggregate income does not contain r
Page 35 and 36: In the five-year period, the struct
Page 37 and 38: ’Х’ axis, except for the last
Page 39 and 40: Таble 2.6. Average monthly expend
Page 41 and 42: Graph 2.5. Cumulative overview of h
Page 43: 2.5. Conclusion 1. From 2002 - 2007
Page 46 and 47: 3. DEMOGRAPHIC CHARACTERISTICS OF T
Page 48 and 49: widows were aged over 60 and 17 per
Page 52 and 53: 4. MIGRATION IN SERBIA Migration as
Page 54 and 55: Table 4.4. Migration by type of set
Page 56 and 57: Table 4.6. Migration characteristic
Page 58 and 59: Graph 4.3. Households by migratory
Page 60 and 61: 5. HOUSING CONDITIONS AND POSSESION
Page 62 and 63: Table 5.1. Indicators of housing co
Page 64 and 65: Table 5.2. Households by type of he
Page 66 and 67: Table 5.5. Proportion of monthly ex
Page 68 and 69: Table 5.10. Average number of month
Page 71 and 72: Mirosinka Dinkic Social welfare in
Page 73 and 74: municipality level. Again, municipa
Page 75 and 76: 6.1.4. Amounts of benefit received
Page 77 and 78: support from authorities to fill in
Page 79 and 80: It is noticeable that more PWDs age
Page 81 and 82: Graph 6.6. PWDs by education level
Page 83 and 84: 6.2.6. Health care of PWDs LSMS sho
Page 85 and 86: Jasmina Grozdanov Health 7 7.1. Int
Page 87 and 88: educe the negative trends in the he
Page 89 and 90: 7.5. Use of Health Care Services ac
Page 91 and 92: given significantly more by residen
Page 93 and 94: Table 7.1. Average expenditure on s
Page 95 and 96: Snezana Klasnja Education 8 Introdu
Page 97 and 98: study of mother tongue and elements
Page 99 and 100: Graph 8.1. School attendance, relat
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distributed geographically. Accordi
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8.3. Primary education 8.3.1. Gener
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and only children from families wit
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The number of classes and teachers
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Participation of young people in va
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universities, pursuant to approved
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Table 8.1. shows the proportion of
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Endnotes, Part 8 1 All data refer t
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9. EMPLOYMENT STATUS Despite signif
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the past five years did not lead to
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Table 9.6. Employment and unemploym
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If the economic position of the emp
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possible to examine hidden unemploy
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Graph 9.7. Employment and unemploym
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job. While 26 percent of the popula
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Table 9.13. Respondents aged 15+ by
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Natalija Bogdanov Agriculture 10 10
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10.2. Rural poverty in Serbia Inter
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Box 4. Types of Individual Agricult
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Graph 10.2. Income of rural househo
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favourable compared to the non-agri
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The physical capital of agricultura
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Graph 10.12. Structure of farms by
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The greatest profit from animal liv
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Table 10.5. Features of agricultura
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7. Bogdanov N. (2007): «Small Rura
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11. WATER AND SANITATION SERVICES (
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Table 11.2. Water and sewerage char
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The improvements varied by both typ
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11.13. Contact with water suppliers
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162 Living Standards Measurements S
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12. METHODOLOGY 12.1. Fieldwork App
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12.2. Data production Data files ar
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p hij = overall probability of sele
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12.4.1. Comparing number of househo
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Table 12.6. New Estimates of Total
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ent paid by the tenants was used. I
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from the separate survey on regiona
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steps. First, the daily caloric val
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poverty in Serbia in 2007 were impr
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Annex А 183
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Annex Table 1.2. Household Sample S
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Annex Table 2.2. Monthly consumptio
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Annex Table 2.4. Monthly income per
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Annex Table 3.3. Household residenc
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Annex Table 3.5. Education level (p
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Annex Table 3.7. Reason why do not
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Annex Table 3.9. Individual economi
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Annex Table 3.12. Marital status of
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Annex Table 3.14. Economic status o
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Annex Table 3.16. Number of househo
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Annex Table 3.19. Households with o
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Annex Table 3.21. Households by num
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Annex Table 5.3. Average number of
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Annex Table 5.6. Households with in
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Annex Table 5.8. Average household
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Annex Table 5.10. Average household
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Annex Table 5.14. Household durable
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Annex Table 5.16. Household ownersh
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Annex Table 6.2. Average amount rec
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Annex Table 6.4. Reasons for non ap
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Annex Table 6.7. Reason did not app
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Annex Table 6.10. Reason did not ap
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Annex Table 7.1. Whether respondent
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Annex Table 7.9. Respondents use of
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Annex Table 7.12. Average frequency
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Table 7.14. Respondents insured in
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Annex Table 7.16. Respondents with
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Annex Table 8.2. Children from 3 to
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Table 8.6. Average number of hours
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Annex Table 8.12. Average amount sp
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Table 8.14. Children from 15 to 19
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Annex Table 8.17. Percentage of cit
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Annex Table 8.20. Average value of
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Annex Table 9.2. Population 15+ by
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Annex Table 9.5. Employed 15+ by Ac
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Annex Table 9.8. Employment by owne
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Annex Table 9.11. Average number of
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Annex Table 9.15. Average amount re
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Annex Table 10.2. Agricultural hous
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Annex Table 10.11. Households which
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Annex Table 10.13. Estimated value
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Annex Table 10.15. Average estimate
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Annex Table 10.18. Agricultural hou
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Living Standards Measurements Study - Serbia 2002 - 2007

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