immigrant mortality in israel jon anson dept.of social work ben gurion university of the negev 84105...

Immigrant mortality in Israel

Jon AnsonDept.of Social Work

Ben Gurion University of the Negev84105 Beer Sheva, Israel.

BSPS, September 2004, LeicesterSession 5: Health and Ethnicity

Analysis made possible by a grant from the Israel Science FoundationData provided by Central Bureau of Statistics, Israel

Population Pyramid, Israel, Census 1995

6 4 2 0 2 4 6

0

10

20

30

40

50

60

70

80

90

Age

Gro

up

Population percentages

Jews (m) born in Israel

Jews (f) born in Israel

Arabs (Palestinians) Male

Arabs (Palestinians) Female

Jews (m) born abroad

Jews (f) born abroad

Distribution of immigrants to Israel,by period and origin, 1948 – 1995

114,28125,40536,717196,464Avg / Year

685,683558,907587,472687,624482,857Total

1.010.011.134.58.5Asia

4.910.047.613.70.8Africa

90.855.235.147.578.2Europe

3.124.55.50.71.6America

0.10.30.83.510.9Unknown

1990-19951968-19891952-19671948-1951Pre-State

Period

Population groups, Israeli population at census, 1995

9.2130,0443,262,611

42.5546,294Total

3.11,027101,75747.53.1FSU As.

14.06,600472,36647.514.8FSU Eur

12.12,465203,59747.56.3W. Eur.

28.57,239253,79967.58.2E. Eur.

20.51,33564,99862.52.1Balkans

4.4910723,80942.50.7Ethiopia

11.63,503300,88852.59.3N. Africa

13.22,860216,27857.56.7Asia

2.042,4151,181,206

37.535.4Israel

Jews Born In:

5.622,493443,91137.513.4Arab

CDRDeathsExposureMed AgePercentOrigin Group

Population 25 and above; Age in 5 year categories; Exposure 4/11/95 – 31/12/2001

Survivorship Analysis, Control Variables, Ages 25 +

Exp(coefficient)Control Entered

344 (4)2146 (3)24 (1)70231 (11)

LR Gain (df)

0.884Householder

1.249Single

1.236Widowed

1.242DivorcedMarital

Status(base: married)

0.6890.687University

0.8080.806High SchoolCertificate

(base: none)

0.5180.522 Working

1.0541.0991.126Immigrant

1.0871.0901.1021.102Age

0.5610.6110.6830.683Sex

N = 564,294, all coefficients significant at p < 0.05

Relative Risks: Population Groups, Ages 25 and above,

by Control Variables introduced

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

Ethiopia W.Europ AsiaE.Europe Balkans FSU EurAfrica Arab FSU Asia

Survivorship Analysis, Control Variables, Ages 15 -34

Exp(coefficient)Control Entered

81 (4)85 (3)7 (1)256 (11)LR Gain (df)

0.917Householder

1.824***Single

1.066Widowed

3.242***DivorcedMarital

Status(base: married)

0.588***0.608***University

0.740***0.740***High SchoolCertificate

(base: none)

0.620***0.592*** Working

1.525 **1.486 **1.505 ** Immigrant

1.063***1.029***1.017***1.017***Age

0.372***0.347***0.369***0.369***Sex

N = 314,867, ** p < 0.01, *** p < 0.001

Relative Risks: Population Groups, Ages 15 -- 34,

by Control Variables introduced

0

0.5

1

1.5

2

2.5

3

3.5

4

Ethiopia W.Europ AsiaE.Europe Balkans FSU EurAfrica Arab FSU Asia

Survivorship Analysis, Control Variables, Ages 35 -59

Exp(coefficient)Control Entered

153 (4)786 (3)11 (1)2764 (11)LR Gain (df)

1.108Householder

1.966***Single

1.326***Widowed

1.566***DivorcedMarital

Status(base: married)

0.651***0.655***University

0.790***0.787***High SchoolCertificate

(base: none)

0.440***0.426*** Working

1.0121.0371.246*** Immigrant

1.098***1.097***1.109***1.109***Age

0.445***0.461***0.604***0.605***Sex

N = 273,496, *** p < 0.001

Relative Risks: Population Groups, Ages 35 -- 59,

by Control Variables introduced

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

Ethiopia W.Europ AsiaE.Europe Balkans FSU EurAfrica Arab FSU Asia

Survivorship Analysis, Control Variables, Ages 60-64

Exp(coefficient)Control Entered

198 (4)1350 (3)12 (1)15160 (11)

LR Gain (df)

0.871***Householder

0.982Single

1.191***Widowed

1.106 **DivorcedMarital

Status(base: married)

0.698***0.695***University

0.811***0.808***High SchoolCertificate

(base: none)

0.544***0.546*** Working

1.0521.094***1.098*** Immigrant

1.089***1.093***1.100***1.099***Age

0.592***0.643***0.702***0.702***Sex

N = 131,880, ** p < 0.01, *** p < 0.001

Relative Risks: Population Groups, Ages 60 and up,

by Control Variables introduced

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

Ethiopia W.Europ AsiaE.Europe Balkans FSU EurAfrica Arab FSU Asia

Explanations•Non-selective migration?

•Society of migrants?•Origins of migrants?•Quality of data?

Conclusions• Need theory, not just empirical generalisations

• Theory needs to look at migrant – resident relations

• Be wary of data – socially generated