University of Thessaly Laboratory of Demographic and Social Analyses Spatial partitioning of population according to religion in Thrace (Greece) Michalis Agorastakis*, Byron Kotzamanis*, Seraphim Alvanides** *University of Thessaly, Department of Planning and Regional Development, Laboratory of Demographic and Social Analyses Pedion Areos, 38334 Volos Greece; email: [email protected] , [email protected] **School of Geography, Politics & Sociology University of Newcastle upon Tyne Newcastle NE1 7RU, UK; email: [email protected]
University of Thessaly Laboratory of Demographic and Social Analyses Spatial partitioning of population according to religion in Thrace (Greece) Michalis.
Jan 04, 2016
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University of ThessalyLaboratory of Demographic and Social Analyses
Spatial partitioning of population according to religion in Thrace (Greece)
Michalis Agorastakis*, Byron Kotzamanis*, Seraphim Alvanides**
*University of Thessaly, Department of Planning and Regional Development,Laboratory of Demographic and Social AnalysesPedion Areos, 38334 Volos Greece; email: [email protected], [email protected]
**School of Geography, Politics & SociologyUniversity of Newcastle upon TyneNewcastle NE1 7RU, UK; email: [email protected]
INTRODUCTION
Greece – Only country in the South-eastern Europe (Balkan) region characterized by intense national homogeneity (96% Census 1991, 90% Census 2001) Only exception is the region of Thrace (North – Eastern)
Heterogeneity concerning Religion and Language
University of ThessalyLaboratory of Demographic and Social Analyses
Especially in Xanthi - Rodopi International Agreements Past Movements According to 1928 & 1951 Census Majority of Muslim Population 49,5 % in 1928 (Xanthi-Rodopi) 44,7% and 55,8% in 1951
Various Muslim ethnicities Pomaks Turkish ethnic affiliation group Rom What happened since 1951?
Census Data – No data concerning religion or language since 1951
Ministry of Internal Affairs I.D. Cards
Data Sets & Methodology
National Statistical Service (ESYE) Yearly Distribution of Marriages per religion Yearly Distribution of Births per religion Yearly Distribution of Deaths per religion
“Case Sensitive” Data Not available
Usage of secondary (available) variables Indirect segregation of Christians & Muslims
Step by step approach From Municipal to the lower administrative level (from 22 to 127 units)
The differentiated intensity demographic behavior between population groups contributes to the preservation of religious and linguistic heterogeneity
Established Hypothesis
1928 Census
RODOPI
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
EVROS
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
THRACE
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
GREECE
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
1951 Census
GREECE
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
RODOPI
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
XANTHI
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
THRACE
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
2001 Census
RODOPI
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
ΗΛ
ΙΚΙΑ
ΚΕ
Σ Ο
ΜΑ
ΔΕ
Σ
XANTHIS
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
THRACE
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
GREECE
7,5 6,5 5,5 4,5 3,5 2,5 1,5 0,5 0,5 1,5 2,5 3,5 4,5 5,5 6,5 7,5
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+
University of ThessalyLaboratory of Demographic and Social Analyses
CLASSIFICATION OF SPATIAL UNITS ACCORDIND TO POPULATION STRUCTURES (MUNICIPALITIES, 22 units)
XANTHI 2001
5,0 4,0 3,0 2,0 1,0 0,0 1,0 2,0 3,0 4,0 5,0
0-4 5-9
10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84>= 85
RODOPI 2001
5,0 4,0 3,0 2,0 1,0 0,0 1,0 2,0 3,0 4,0 5,0
0-4 5-9
10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 >= 85
Group A
5,0 4,0 3,0 2,0 1,0 0,0 1,0 2,0 3,0 4,0 5,0
0-4 5-9
10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 >= 85 Group B
5,0 4,0 3,0 2,0 1,0 0,0 1,0 2,0 3,0 4,0 5,0
0-4 5-9
10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84>= 85
University of ThessalyLaboratory of Demographic and Social Analyses
CLASSIFICATION OF SPATIAL UNITS ACCORDIND TO COMPLETED FERTILITY (CF) (1950 – 1954) (MUNICIPALITIES)
Group 1:
Especially High CF (3,5-4,3 childr./wom.)
Muslim PopulationGroup 2:
High CF (2,5-3,2)
Majority of Muslim PopulationGroup 3:
Medium CF (2,0-2,25)Mixed Population
Group 4: Low fertility
Majority of or Christian Population
High fertility = Young demographic structures Low fertility = older demographic structures
University of ThessalyLaboratory of Demographic and Social Analyses
CLASSIFICATION OF SPATIAL UNITS ACCORDIND TO SELECTED VARIABLES (MUNICIPALITIES)
VARIABLES USED
Large age groups (0-14/15-44/45-64/65+)
Replacement Index ( 15-19/ 60-64 years)
Average household size ( persons/household)
Large households ( % of >5 members)
Completed Fertility (children/women, cohort 1950-1954)
University of ThessalyLaboratory of Demographic and Social Analyses
CLASSIFICATION OF SPATIAL UNITS ACCORDIND TO SELECTED VARIABLES (COMMUNES, 127 UNITS)
VARIABLES USED
VAR 1= 0-14 (%)
VAR 2 = Mean Age (female)
VAR 3= 65 + (%)
VAR 4= Replacement Index
VAR 5= Average household size
J. Bertin Method of Classification
University of ThessalyLaboratory of Demographic and Social Analyses
University of ThessalyLaboratory of Demographic and Social Analyses
CONCLUSIONS & DISCUSION
Insufficient data can lead you to seek indirect data of presenting and record a phenomenon
Segmentation of Administrative boundariese.g. Xanthi is consisted of 37 Communes and Rodopi of 90.
Original hypothesis needs to be verifiedField work (Local reliable persons)
Election results (Muslim elected representatives)Nuptiality and education level of women in selective age groups
Mosque spatial distribution Minority schools
Identification of population groups with similar demographic behaviour but different religion
Demographic Convergence of population groups – Mixed populations according to religion in the same spatial entities
University of ThessalyLaboratory of Demographic and Social Analyses
Thank you for your attention
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