|
| |
Immigrants'
Economic Status in Toronto:
Rethinking Settlement and Integration Strategies
|
© Lucia Lo, Valerie Preston, Shuguang Wang, Katherine Reil, Edward
Harvey & Bobby Siu
This paper is presented for discussion and comments. A revised version of this paper
will appear as a chapter in the volume Integrating Diversity, to be published by
CERIS-Toronto in 2001. The authors acknowledge support from the Major Projects
Initiative of CERIS-Toronto.
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ENDNOTES
.. The typology of industries was largely
dictated by the information available in the Public Use Microdata Sample. To increase
sample size and facilitate comparison with previous research, information is reported for
eleven industries. The goods-producing industries include manufacturing and processing
industries that are combined as well as construction. Following the typology proposed by
Stanback and Noyelle (), service industries are combined into eight categories:
distributive services that consist of wholesale trade and the regulated transportation,
communications, and utilities industries, producer services that include business services
and finance, insurance and real estate services, social services that consist of health
and social services, government administration, and education, and finally, consumer
services that include retail trade, accommodation, food and beverage services, and all
other services not classified elsewhere.
.. The marked gender division of labour means it is more appropriate and
more informative to compare immigrant women's employment patterns to those of
Canadian-born women than to those of the total labour force. The value of location
quotients range from 0.0 upwards. A value of 1.0 indicates that the two proportions are
identical, while values less than 1.0 reveal that immigrant womens' proportion of
employment in the industry is less than that of Canadian-born women. Values greater than
1.0 reveal an over-representation of immigrant women in the industry.
.. The aggregate information may mask substantial differences in the
propensity for self-employment among immigrants from different birthplaces and ethnic
groups (Reitz 1998).
.
. Location quotients were also calculated in which the divisor was the
proportion of all Canadian-born workers in an industry. The resulting location quotients
largely reflected the effects of gender, rather than ethnic origin. The small size of the
samples for several ethnic origins meant it was impossible to compare separately immigrant
and Canadian-born workers from the same ethnic background.
.. The socioeconomic characteristics of the population used for this
study were derived from a 20 percent sample of households and exclude residents of
institutions such as prisons, orphanages, and nursing homes.
.. Persistence is defined as being represented in four or all five of
the immigrant cohorts.
.. IMDB stands for Immigration Data Base. It is not a single database,
but a database system consisting of several relational databases maintained by Citizenship
and Immigration Canada and Statistics Canada. Two special tabulations from the IMDB were
analysed for this research: one contains landing records for all the immigrants in the
Toronto CMA, who landed between 1980 and 1995; the other is made of data from the 1995
federal tax returns filed by the same immigrants. The first tabulation provides detailed
information on demographic, social, and economic characteristics of the immigrants at time
of immigration: such as age, gender, family status, country of last permanent residence,
level of education, and immigration class. The second tabulation contains total income;
employment income; self-employment income; investment income; federal income tax; social
welfare benefit; unemployment insurance benefit; and number of immigrants who reported
each type of income, tax, and benefit. Provincial income tax was not included in the
original database, but it was easily recovered using the rate of 58 percent of federal
income tax, which was provided in the 1995 Ontario Tax Return Guide.
.. UI stands for unemployment insurance. Since 1996, it has been changed
to EICemployment insurance.
.. The proportion of immigrants reporting income tax and welfare
dependency rates is calculated for the immigrants who were 15 to 80 years old in 1995
(those above 80 are excluded to control mortality effect); whereas the UI usage rate is
calculated for those who were 15 to 65 in 1995, as they were the immigrants legally
eligible for UI benefits in that year. Given that some immigrants might have moved out of
the Toronto CMA after they first landed here, rates of secondary migration are estimated
for each subgroup using a similar IMDB table for the Province of Ontario. The Ontario
table has the same landing-year coverage (1980-1995) and also contains 1995 tax data;
better yet, it records the number of immigrants who originally landed in Ontario but were
residents of other provinces in 1995. Using the Ontario data, various emigration rates
were calculated for each subgroup of immigrants and applied to the Toronto study. While
not perfect, they are the best estimates possible.
.. All statistics for the general population of Canada are also for
those of 15 years of age and over. They are calculated from the following sources:
Minister of Industry (1998, 1999); Minister of National Revenue (1998); National Council
of Welfare (1996, 1997); Revenue Canada (1995); and Statistics Canada (1996).
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TABLE 12
Economic Impacts of Immigrants in Toronto
CMA by immigration Class, 1995 |
Class |
Percent of
total |
Percent
reporting |
Per capita |
Percent
reporting |
Per capita |
Percent
reporting |
Per capita |
T-B Ratio |
T-B
difference |
| |
immigrants |
income tax |
income tax ($) |
welfare |
welfare ($) |
UI |
UI ($) |
|
amount(m $) share |
| Economic |
28 |
63 |
4323 |
5 |
8013 |
7 |
4541 |
3.5 |
445.1 77 |
| Independent |
21 |
65 (75) |
4977 (5905) |
7 (9) |
8148 (8102) |
9 (11) |
4688 (4885) |
3.4 (3.5) |
390.8 68 |
| Entrepreneur |
3 |
63 (94) |
1810 (2486) |
1 (2) |
9276 (9337) |
2 (3) |
4564 (4815) |
6.6 (8.1) |
23.2 4 |
| Self-employed |
1 |
48 (68) |
3708 (4750) |
2 (3) |
7310 (8967) |
3 (3) |
3774 (5839) |
6.0 (6.7) |
13.0 2 |
| Investor1 |
1 |
74 |
1534 |
3 |
5509 |
13 |
2895 |
2.1 |
5.1 <1 |
| Retiree |
2 |
45 (61) |
2201 (2294) |
1 (2) |
3497 (4947) |
1 (1) |
3908 (-) |
9.8 (9.8) |
13.0 2 |
| Family Reunification |
57 |
58 |
2340 |
8 |
6925 |
8 |
3990 |
1.6 |
229.6 40 |
| Family member |
46 |
58 |
2144 |
9 |
6811 |
8 |
3900 |
1.4 |
126.5 22 |
| Assisted relative |
11 |
62 |
3120 |
4 |
7862 |
9 |
4332 |
2.6 |
103.1 18 |
| Humanitarian |
15 |
76 |
2324 |
24 |
8777 |
11 |
4447 |
0.7 |
-103.5 -18 |
| Refugee (C-R) |
7 |
69 |
1283 |
32 |
8910 |
9 |
4093 |
0.3 |
-129.3 -22 |
| Designated class |
8 |
81 |
3151 |
17 |
8549 |
14 |
4601 |
1.2 |
26.7 5 |
| DORC |
<1 |
77 |
1374 |
<1 |
- |
<1 |
- |
1.4 |
0.1 <1 |
| Dependent of (C-R) |
<1 |
61 |
254 |
8 |
10904 |
<1 |
- |
0.2 |
-1.0 -0.2 |
| Average |
100 |
62 |
2893 |
9 |
7813 |
8 |
4216 |
1.7 |
578.2 100 |
1. Principal applicants for investors cannot be separated
from spouses and dependants due to an inconsistency problem in the two special
tabulations. That is, the number of principal applicants for investors in the 1995 tax
file exceeds the total number of principal investor applicants in the landing files of
1980B1995. It seems the principal applicants and non-principal applicants are not
separated properly in the tax file.
2. A hyphen is used where a per capita value cannot be
calculated because the number of immigrants is small and rounded to zero by Statistics
Canada for reasons of confidentiality.
| TABLE 13
Economic Impacts of Immigrants in the
Toronto CMA by Level of Education, 1995 |
Level of education |
Percent of total |
Percent reporting |
Per capita |
Percent reporting |
Per capita |
Percent reporting |
Per capita |
T-B Ratio |
T-B
difference |
| |
immigrants |
income tax |
income tax ($) |
welfare |
welfare ($) |
UI |
UI ($) |
|
amount(m $)
share |
0-9 years |
34 |
47 |
1691 |
10 |
7813 |
6 |
4295 |
0.82 |
-50.6 -9 |
| 10-12 years |
27 |
69 |
2106 |
12 |
7270 |
9 |
3932 |
1.1 |
33.7 6 |
| 13 years or some univ. (no degree) |
9 |
69 |
3168 |
9 |
8066 |
9 |
4205 |
2 |
78.9 14 |
| trade certificate |
10 |
70 |
3317 |
9 |
8012 |
10 |
4389 |
1.9 |
92.5 16 |
| non-univ. diploma |
6 |
69 |
3516 |
8 |
8173 |
9 |
4375 |
2.3 |
70.8 12 |
| Bachelor's degree |
12 |
70 |
4897 |
7 |
8226 |
8 |
4438 |
3.9 |
246.1 43 |
| Master's degree |
2 |
66 |
8000 |
4 |
8132 |
7 |
4604 |
7.3 |
74.6 13 |
| Doctorate |
<1 |
65 |
13229 |
5 |
8939 |
5 |
4557 |
15.9 |
32.2 5 |
Average |
100 |
62 |
2893 |
9 |
7813 |
8 |
4216 |
1.7 |
578.2 100 |
| TABLE 14
Economic Impacts of Immigrants in Toronto
CMA by World Regions of Last Permanent Residence, 1995 |
Region |
Percent of total |
Percent reporting |
Per capita |
Percent reporting |
Per capita |
Percent reporting |
Per capita |
T-B Ratio |
T-B difference |
| |
immigrants |
income tax |
income tax ($) |
welfare |
welfare ($) |
UI |
UI ($) |
|
amount (m$) share |
Traditional
source areas |
10 |
50 |
8262 |
2 |
7702 |
5 |
4652 |
9.7 |
279.5 48 |
| |
|
|
|
|
|
|
|
|
|
| East &
South Europe |
15 |
69 |
3303 |
11 |
7887 |
12 |
5039 |
1.4 |
78.3 14 |
| |
|
|
|
|
|
|
|
|
|
| Asia |
51 |
62 |
2187 |
8 |
7690 |
7 |
3857 |
1.5 |
188.5 32 |
| |
|
|
|
|
|
|
|
|
|
| Latin
America & Caribbean |
18 |
61 |
2490 |
13 |
7957 |
9 |
4055 |
1.1 |
21.6 4 |
| |
|
|
|
|
|
|
|
|
|
| Africa |
6 |
72 |
3081 |
20 |
7798 |
9 |
4324 |
1.1 |
10.5 2 |
| |
|
|
|
|
|
|
|
|
|
| Average |
100 |
62 |
2893 |
9 |
7813 |
8 |
4216 |
1.7 |
578.2 100 |
Authors:
Lucia Lo, Department of Geography, York University
Valerie Preston, Department of Geography, York University
Shuguang Wang, Department of Geography, Ryerson Polytechnic University
Katherine Reil (student), Department of Sociology, University of Toronto
Edward Harvey, OISE, University of Toronto
Bobby Siu, Community researcher, Infoworth Company
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