Population and demography
Key indicators
Selected geographical area: Canada
-
40,097,7612.9%(annual change)
-
24.3%
More population and demography indicators
Selected geographical area: Canada
-
22.8
-
1,000,505-49.2%(period-to-period change)
-
811,430-26.2%(period-to-period change)
-
1,807,2509.4%(period-to-period change)
-
66.5%
-
1,048,4059.7%(period-to-period change)
-
21.5%(period-to-period change)
-
624,2206.3%(period-to-period change)
-
70,5458.5%(period-to-period change)
-
18.0%
-
50.0%
-
$73,000
-
9.8%
-
22.7%
-
-0.040
-
11.1%
-
-3.3
-
19.0%2.1%(period-to-period change)
-
16.3%-0.3%(period-to-period change)
-
64.8%-1.7%(period-to-period change)
-
52.6%-1.0%(period-to-period change)
-
10.7%0.8%(period-to-period change)
-
36,991,9815.2%(period-to-period change)
-
100.0
-
16,284,235
-
16.9
-
20.0
-
16.6
-
66.5
-
96.5
-
41.0
-
53.6
-
35,151,7285.0%(period-to-period change)
-
100.0
-
15,412,443
Selected geographical area: Newfoundland and Labrador
-
538,6051.3%(annual change)
-
13.0%
More population and demography indicators
Selected geographical area: Newfoundland and Labrador
-
17.5
-
3,585-30.9%(period-to-period change)
-
8,910-13.7%(period-to-period change)
-
75.7%
-
46,5501.8%(period-to-period change)
-
28,4300.2%(period-to-period change)
-
7,330-5.8%(period-to-period change)
-
15.3%(period-to-period change)
-
7,33513.7%(period-to-period change)
-
-1.3%
-
-0.033
-
15.2%
-
-0.1
-
23.6%4.2%(period-to-period change)
-
13.4%-0.9%(period-to-period change)
-
63.0%-3.2%(period-to-period change)
-
72.3%-1.0%(period-to-period change)
-
Percentage of apartments in a building that has five or more storeys - Newfoundland and Labrador
(2016 to 2021)0.4%0.0%(period-to-period change) -
510,550-1.8%(period-to-period change)
-
1.4
-
269,184
-
19.4
-
23.0
-
14.3
-
66.2
-
Male/female ratio (number of males per 100 females) - Newfoundland and Labrador
(2016 Census of Population)95.5 -
43.7
-
73.3
-
519,7161.0 %(period-to-period change)
-
1.5%
-
265,739
Selected geographical area: Prince Edward Island
-
173,7873.9%(annual change)
-
14.9%
More population and demography indicators
Selected geographical area: Prince Edward Island
-
18.1
-
8909.2%(period-to-period change)
-
2,840-22.8%(period-to-period change)
-
68.8%
-
3,38523.5%(period-to-period change)
-
2,16015.2%(period-to-period change)
-
84019.0%(period-to-period change)
-
34.1%(period-to-period change)
-
180140.0%(period-to-period change)
-
$64,000
-
10.3%
-
-0.023
-
13.8%
-
-2.9
-
21.2%1.8%(period-to-period change)
-
15.3%-0.6%(period-to-period change)
-
63.5%-1.2%(period-to-period change)
-
67.9%-1.3%(period-to-period change)
-
Percentage of apartments in a building that has five or more storeys - Prince Edward Island
(2016 to 2021)0.2%0.1%(period-to-period change) -
154,3318.0%(period-to-period change)
-
0.4
-
74,934
-
19.4
-
21.6
-
15.9
-
64.7
-
Male/female ratio (number of males per 100 females) - Prince Edward Island
(2016 Census of Population)94.2 -
42.7
-
69.2
-
142,9071.9 %(period-to-period change)
-
0.4%
-
71,119
Selected geographical area: Nova Scotia
-
1,058,6943.2%(annual change)
-
20.7%
More population and demography indicators
Selected geographical area: Nova Scotia
-
20.4
-
13,900-45.1%(period-to-period change)
-
20,580-24.7%(period-to-period change)
-
66.8%
-
52,4301.8%(period-to-period change)
-
28,0558.6%(period-to-period change)
-
21,090-9.5%(period-to-period change)
-
24.6%(period-to-period change)
-
1,10039.9%(period-to-period change)
-
10.3%
-
$62,400
-
8.3%
-
-0.032
-
14.9%
-
-2.6
-
22.2%2.3%(period-to-period change)
-
14.1%-0.4%(period-to-period change)
-
63.7%-1.9%(period-to-period change)
-
63.7%-1.8%(period-to-period change)
-
6.7%1.4%(period-to-period change)
-
969,3835.0%(period-to-period change)
-
2.6
-
476,007
-
19.9
-
19.9
-
14.5
-
65.6
-
93.7
-
43.5
-
65.5
-
923,5980.2 %(period-to-period change)
-
2.6%
-
458,568
Selected geographical area: New Brunswick
-
834,6913.1%(annual change)
-
15.9%
More population and demography indicators
Selected geographical area: New Brunswick
-
18.4
-
4,350-40.4%(period-to-period change)
-
13,435-15.3%(period-to-period change)
-
33,30013.3%(period-to-period change)
-
73.0%
-
20,96019.3%(period-to-period change)
-
10,165-0.3%(period-to-period change)
-
18.5%(period-to-period change)
-
68577.9%(period-to-period change)
-
34.0%
-
$62,000
-
9.2%
-
-0.026
-
14.2%
-
-3.1
-
22.8%2.9%(period-to-period change)
-
14.3%-0.5%(period-to-period change)
-
62.8%-2.5%(period-to-period change)
-
67.8%-1.5%(period-to-period change)
-
1.3%0.0%(period-to-period change)
-
775,6103.8%(period-to-period change)
-
2.1
-
366,146
-
19.9
-
20.3
-
14.8
-
65.3
-
95.7
-
43.6
-
69.3
-
747,101-0.5%(period-to-period change)
-
2.1%
-
359,721
Selected geographical area: Quebec
-
8,874,6832.3%(annual change)
-
21.9%
More population and demography indicators
Selected geographical area: Quebec
-
22.5
-
287,345-42.9%(period-to-period change)
-
219,060-15.7%(period-to-period change)
-
205,01514.3%(period-to-period change)
-
59.9%
-
116,55030.8%(period-to-period change)
-
14.2%(period-to-period change)
-
61,015-12.0%(period-to-period change)
-
15,79513.3%(period-to-period change)
-
46.4%
-
46.6%
-
$63,200
-
42.7%
-
12.1%
-
-0.027
-
11.9%
-
-2.6
-
20.6%2.3%(period-to-period change)
-
16.4%0.1%(period-to-period change)
-
63.0%-2.4%(period-to-period change)
-
44.6%-0.8%(period-to-period change)
-
6.0%0.7%(period-to-period change)
-
8,501,8334.1%(period-to-period change)
-
23.0
-
4,050,164
-
18.3
-
18.9
-
16.3
-
65.4
-
96.8
-
41.9
-
45.4
-
8,164,3613.3%(period-to-period change)
-
23.2%
-
3,858,943
Selected geographical area: Ontario
-
15,608,3693.0%(annual change)
-
29.7%
More population and demography indicators
Selected geographical area: Ontario
-
24.7
-
390,135-56.1%(period-to-period change)
-
246,050-37.8%(period-to-period change)
-
406,59010.0%(period-to-period change)
-
68.4%
-
251,0308.2%(period-to-period change)
-
24.1%(period-to-period change)
-
134,61511.6%(period-to-period change)
-
4,31011.7%(period-to-period change)
-
10.8%
-
$79,500
-
53.5%
-
15.7%
-
12.8%
-
-0.036
-
10.1%
-
-4.3
-
18.5%1.8%(period-to-period change)
-
15.8%-0.6%(period-to-period change)
-
65.6%-1.2%(period-to-period change)
-
53.6%-0.7%(period-to-period change)
-
17.9%0.8%(period-to-period change)
-
14,223,9425.8%(period-to-period change)
-
38.5
-
5,929,250
-
16.7
-
19.9
-
16.4
-
66.8
-
95.2
-
41.0
-
54.3
-
13,448,4944.6%(period-to-period change)
-
38.3%
-
5,598,391
Selected geographical area: Manitoba
-
1,454,9022.9%(annual change)
-
17.0%
More population and demography indicators
Selected geographical area: Manitoba
-
20.6
-
29,345-45.4%(period-to-period change)
-
32,835-18.9%(period-to-period change)
-
237,1909.9%(period-to-period change)
-
67.4%
-
134,8909.6%(period-to-period change)
-
96,7308.3%(period-to-period change)
-
23.0%(period-to-period change)
-
72519.8%(period-to-period change)
-
8.3%
-
$69,000
-
51.7%
-
7.8%
-
16.9%
-
-0.038
-
14.2%
-
-3.3
-
17.1%1.5%(period-to-period change)
-
18.8%-0.3%(period-to-period change)
-
64.1%-1.3%(period-to-period change)
-
66.4%-1.4%(period-to-period change)
-
8.4%0.4%(period-to-period change)
-
1,342,1535.0%(period-to-period change)
-
3.6
-
571,528
-
15.6
-
15.4
-
19.1
-
65.4
-
97.6
-
39.2
-
67.8
-
1,278,3655.8%(period-to-period change)
-
3.6%
-
539,748
Selected geographical area: Saskatchewan
-
1,209,1072.6%(annual change)
-
18.4%
More population and demography indicators
Selected geographical area: Saskatchewan
-
18.1
-
7,935-42.6%(period-to-period change)
-
25,155-22.8%(period-to-period change)
-
70.7%
-
187,8907.4%(period-to-period change)
-
121,1705.8%(period-to-period change)
-
62,8008.5%(period-to-period change)
-
17.4%(period-to-period change)
-
46027.8%(period-to-period change)
-
$73,000
-
2.8%
-
-0.038
-
13.4%
-
-1.7
-
17.5%2.0%(period-to-period change)
-
19.7%0.1%(period-to-period change)
-
62.8%-2.0%(period-to-period change)
-
71.6%-1.0%(period-to-period change)
-
2.5%0.0%(period-to-period change)
-
1,132,5053.1%(period-to-period change)
-
3.1
-
513,725
-
15.5
-
10.9
-
19.6
-
64.8
-
98.8
-
39.1
-
72.7
-
1,098,3526.3%(period-to-period change)
-
3.1%
-
495,582
Selected geographical area: Alberta
-
4,695,2904.0%(annual change)
-
22.0%
More population and demography indicators
Selected geographical area: Alberta
-
22.1
-
88,260-54.6%(period-to-period change)
-
74,180-31.1%(period-to-period change)
-
284,46512.2%(period-to-period change)
-
70.9%
-
145,64510.7%(period-to-period change)
-
127,47511.5%(period-to-period change)
-
30.0%(period-to-period change)
-
2,94518.3%(period-to-period change)
-
6.1%
-
53.2%
-
$83,000
-
16.7%
-
-4.6%
-
-0.064
-
9.2%
-
-0.5
-
14.8%2.5%(period-to-period change)
-
19.0%-0.2%(period-to-period change)
-
66.2%-2.3%(period-to-period change)
-
60.9%-1.0%(period-to-period change)
-
4.6%0.5%(period-to-period change)
-
4,262,6354.8%(period-to-period change)
-
11.5
-
1,772,670
-
12.3
-
23.3
-
19.2
-
68.5
-
100.6
-
37.8
-
61.9
-
4,067,17511.6%(period-to-period change)
-
11.6%
-
1,654,129
Selected geographical area: British Columbia
-
5,519,0133.0%(annual change)
-
22.6%
More population and demography indicators
Selected geographical area: British Columbia
-
23.0
-
174,045-36.5%(period-to-period change)
-
158,345-18.2%(period-to-period change)
-
66.8%
-
290,2107.5%(period-to-period change)
-
180,0854.8%(period-to-period change)
-
27.5%(period-to-period change)
-
97,8659.5%(period-to-period change)
-
1,7256.5%(period-to-period change)
-
$76,000
-
14.3%
-
-0.037
-
10.8%
-
-4.9
-
20.3%2.0%(period-to-period change)
-
14.3%-0.6%(period-to-period change)
-
65.3%-1.6%(period-to-period change)
-
42.4%-1.7%(period-to-period change)
-
Percentage of apartments in a building that has five or more storeys - British Columbia
(2016 to 2021)10.9%1.4%(period-to-period change) -
5,000,8797.6%(period-to-period change)
-
13.5
-
2,211,694
-
18.3
-
23.3
-
14.9
-
66.9
-
96.1
-
42.3
-
44.1
-
4,648,0555.6%(period-to-period change)
-
13.2%
-
2,063,417
Selected geographical area: Yukon
-
44,9752.4%(annual change)
-
11.4%
More population and demography indicators
Selected geographical area: Yukon
-
15.9
-
480-33.8%(period-to-period change)
-
2,145-2.9%(period-to-period change)
-
8,8057.5%(period-to-period change)
-
64.4%
-
6,9353.7%(period-to-period change)
-
1,28526.6%(period-to-period change)
-
33.7%(period-to-period change)
-
26015.6%(period-to-period change)
-
14.2%
-
46.7%
-
$88,000
-
32.8%
-
10.0%
-
-0.027
-
7.6%
-
-2.9
-
15.0%3.1%(period-to-period change)
-
17.0%-0.5%(period-to-period change)
-
68.0%-2.6%(period-to-period change)
-
60.3%-1.7%(period-to-period change)
-
0.3%0.0%(period-to-period change)
-
40,23212.1%(period-to-period change)
-
0.1
-
19,610
-
11.9
-
37.9
-
17.5
-
70.6
-
101.6
-
39.1
-
62.0
-
35,8745.8%(period-to-period change)
-
0.1%
-
17,987
Selected geographical area: Northwest Territories
-
44,9720.6%(annual change)
-
9.7%
More population and demography indicators
Selected geographical area: Northwest Territories
-
9.8
-
145-43.1%(period-to-period change)
-
3,900-25.7%(period-to-period change)
-
53.5%
-
20,040-3.9%(period-to-period change)
-
12,315-6.6%(period-to-period change)
-
2,890-14.6%(period-to-period change)
-
0.6%(period-to-period change)
-
4,1551.8%(period-to-period change)
-
$109,000
-
0.9%
-
-0.045
-
7.2%
-
-4.5
-
10.0%2.3%(period-to-period change)
-
20.6%-0.6%(period-to-period change)
-
69.4%-1.7%(period-to-period change)
-
56.6%-1.0%(period-to-period change)
-
Percentage of apartments in a building that has five or more storeys - Northwest Territories
(2016 to 2021)1.9%-1.1%(period-to-period change) -
41,070-1.7%(period-to-period change)
-
0.1
-
17,603
-
7.7
-
34.7
-
21.2
-
71.0
-
Male/female ratio (number of males per 100 females) - Northwest Territories
(2016 Census of Population)103.8 -
34.9
-
57.6
-
41,7860.8%(period-to-period change)
-
0.1%
-
17,666
Selected geographical area: Nunavut
-
40,6730.5%(annual change)
-
7.3%
More population and demography indicators
Selected geographical area: Nunavut
-
7.1
-
1000.0%(period-to-period change)
-
3,995-27.5%(period-to-period change)
-
19.2%
-
31,3902.7%(period-to-period change)
-
180-5.3%(period-to-period change)
-
17.2%(period-to-period change)
-
115-30.3%(period-to-period change)
-
30,8602.4%(period-to-period change)
-
3.8%
-
$104,000
-
76.5%
-
51.7%
-
11.8%
-
-0.048
-
14.7%
-
-7.4
-
4.4%0.6%(period-to-period change)
-
32.8%0.3%(period-to-period change)
-
62.9%-0.8%(period-to-period change)
-
43.1%-1.2%(period-to-period change)
-
1.2%0.0%(period-to-period change)
-
36,8582.5%(period-to-period change)
-
0.1
-
11,720
-
3.8
-
28.3
-
32.5
-
63.7
-
104.8
-
27.7
-
44.3
-
35,94412.7%(period-to-period change)
-
0.1%
-
11,433
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All (13) (0 to 10 of 13 results)
- Stats in brief: 11-627-M2022059Description:
The infographic provides a high-level description of how the Census counts people, including Indigenous people, particularly those in urban areas. This includes efforts before and during data collection including communications and advertising, reminders, follow up calls and visits, and special outreach. It also outlines the practice of counting people based on usual place of residence on Census day. Finally, the infographic discusses studies that Statistics Canada undertakes to estimate undercoverage, that is, the net impact of some people being missed and others that are being counted more than once by the Census.
Release date: 2022-09-23 - Articles and reports: 18-001-X2020001Description:
This paper presents the methodology used to generate the first nationwide database of proximity measures and the results obtained with a first set of ten measures. The computational methods are presented as a generalizable model due to the fact that it is now possible to apply similar methods to a multitude of other services or amenities, in a variety of alternative specifications.
Release date: 2021-02-15 - Articles and reports: 82-003-X202000300001Description:
This study describes the characteristics of residential postal codes of the Canadian population using the 2016 Census and determines how frequently these postal codes are matched to one or more dissemination areas, a unit of census geography.
Release date: 2020-06-17 - Articles and reports: 11F0019M2020004Description:
Unlike economic and family class immigrants, who mostly make their own choice about where to settle in Canada, the initial geographic location of refugees is strongly influenced by government resettlement programs. Government-assisted refugees (GARs) are assigned to one of many designated communities based on a pre-approved regional quota of refugee allocation and the match between a refugee’s needs and community resources. Privately sponsored refugees (PSRs) are received by their sponsors, who are scattered across the country. While previous research suggests that refugees, especially GARs, are more likely to undertake secondary migration than other immigrants, no large-scale quantitative study has compared the rates of departure from initial destination cities for different immigrant categories in the long term. This study compares long-term secondary migration in Canada by immigrant admission category, with a focus on the size of the initial city of settlement.
Release date: 2020-01-28 - Surveys and statistical programs – Documentation: 99-137-XDescription:
Statistics Canada has produced a hierarchical PUMF that relies on perturbation instead of suppression to protect data confidentiality. This paper describes the creation of this new type of PUMF for the Agency. The creation of this PUMF using data perturbation techniques, a first for Statistics Canada, was in many ways a research development project. In the process, ways were devised to avoid overlap with other PUMFs, to adapt and apply risk measures for a multitude of personal and household characteristics, and to carry out perturbations for related characteristics.
Release date: 2015-12-10 - Articles and reports: 82-003-X201200311695Geography: CanadaDescription:
This study examines disparities in mortality between 1- to 19-year-old residents of Inuit Nunangat and the rest of Canada from 1994 to 2008. Mortality rates are calculated by cause of death.
Release date: 2012-07-18 - Articles and reports: 11-008-X200900210919Geography: CanadaDescription:
This article examines whether access to maternity and paternity benefits influences a couple's decision to have a child. We identify characteristics of people who are most likely to say that benefits would transform intentions into behaviour.
Release date: 2009-10-27 - Articles and reports: 91F0015M2008009Geography: CanadaDescription:
In Canada, there has been growing discussion over the aging of the population and other socio-demographic trends which affect the availability of the informal support network of the elderly population. Noting the lower fertility rates of baby boomers, the increased participation of women in the labour force and changing family structure in terms of increased divorce and reconstituted families, assumptions of continued high level assistance from informal support networks - family and friends - are often criticized.
The main objective of this research is to project the future availability of informal support network to meet the need for assistance in performing everyday activities among the disabled elderly population for the period 2001 to 2031. The research examined both sides - supply and demand - of the projected increases in need for assistance for disabled older persons. Future trends are analyzed in terms of demand for support, (that is, changes in the rates of disability among the elderly population), and supply of informal support, (which is largely related to the extent and composition of the family network). Data from two national surveys, the 1996 National Population Health Survey (NPHS) and the 1996 General Social Survey (GSS), are used to identify factors associated with disability and sources of assistance among the elderly population. These results were entered into Statistics Canada's LifePaths microsimulation model to project the use of informal and formal networks in the future. The model also incorporates three disability scenarios to test the sensitivity of the projections when different assumptions are considered. The implications of these trends on the future need for chronic home care services are discussed.
The results show that for the period 2001 to 2031, the average annual growth rate of the number of disabled elderly needing assistance could be about 2.5%. However, the sensitivity analysis shows that an improvement in the health of the population could reduce in a non negligible way this growth rate.
The results also show that, all things being equal, a greater proportion of elderly persons living with a spouse would relieve some of the pressure on the formal network. This positive effect could be dampened in part when joint survivorship is also meaning joint disability.
Release date: 2008-12-18 - Articles and reports: 12-001-X20050018083Description:
The advent of computerized record linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. This, however, introduces linkage errors due to mismatching an individual from one database with a different individual from the other database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk such as standardized mortality ratios and relative risk regression model parameters is explored. It is shown that the observed and expected number of deaths are affected in opposite direction and, as a result, these indicators can be subject to bias and additional variability in the presence of linkage errors.
Release date: 2005-07-21 - 10. The effect of record linkage errors on statistical inference in cohort mortality studies ArchivedArticles and reports: 11-522-X20010016277Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The advent of computerized record-linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk, such as standardized mortality ratios and relative risk regression model parameters, is explored. It is shown that these indicators can be subject to bias and additional variability in the presence of linkage errors, with false links and non-links leading to positive and negative bias, respectively, in estimates of the standardized mortality ratio. Although linkage errors always increase the uncertainty in the estimates, bias can be effectively eliminated in the special case in which the false positive rate equals the false negative rate within homogeneous states defined by cross-classification of the covariates of interest.
Release date: 2002-09-12
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Analysis (12)
Analysis (12) (0 to 10 of 12 results)
- Stats in brief: 11-627-M2022059Description:
The infographic provides a high-level description of how the Census counts people, including Indigenous people, particularly those in urban areas. This includes efforts before and during data collection including communications and advertising, reminders, follow up calls and visits, and special outreach. It also outlines the practice of counting people based on usual place of residence on Census day. Finally, the infographic discusses studies that Statistics Canada undertakes to estimate undercoverage, that is, the net impact of some people being missed and others that are being counted more than once by the Census.
Release date: 2022-09-23 - Articles and reports: 18-001-X2020001Description:
This paper presents the methodology used to generate the first nationwide database of proximity measures and the results obtained with a first set of ten measures. The computational methods are presented as a generalizable model due to the fact that it is now possible to apply similar methods to a multitude of other services or amenities, in a variety of alternative specifications.
Release date: 2021-02-15 - Articles and reports: 82-003-X202000300001Description:
This study describes the characteristics of residential postal codes of the Canadian population using the 2016 Census and determines how frequently these postal codes are matched to one or more dissemination areas, a unit of census geography.
Release date: 2020-06-17 - Articles and reports: 11F0019M2020004Description:
Unlike economic and family class immigrants, who mostly make their own choice about where to settle in Canada, the initial geographic location of refugees is strongly influenced by government resettlement programs. Government-assisted refugees (GARs) are assigned to one of many designated communities based on a pre-approved regional quota of refugee allocation and the match between a refugee’s needs and community resources. Privately sponsored refugees (PSRs) are received by their sponsors, who are scattered across the country. While previous research suggests that refugees, especially GARs, are more likely to undertake secondary migration than other immigrants, no large-scale quantitative study has compared the rates of departure from initial destination cities for different immigrant categories in the long term. This study compares long-term secondary migration in Canada by immigrant admission category, with a focus on the size of the initial city of settlement.
Release date: 2020-01-28 - Articles and reports: 82-003-X201200311695Geography: CanadaDescription:
This study examines disparities in mortality between 1- to 19-year-old residents of Inuit Nunangat and the rest of Canada from 1994 to 2008. Mortality rates are calculated by cause of death.
Release date: 2012-07-18 - Articles and reports: 11-008-X200900210919Geography: CanadaDescription:
This article examines whether access to maternity and paternity benefits influences a couple's decision to have a child. We identify characteristics of people who are most likely to say that benefits would transform intentions into behaviour.
Release date: 2009-10-27 - Articles and reports: 91F0015M2008009Geography: CanadaDescription:
In Canada, there has been growing discussion over the aging of the population and other socio-demographic trends which affect the availability of the informal support network of the elderly population. Noting the lower fertility rates of baby boomers, the increased participation of women in the labour force and changing family structure in terms of increased divorce and reconstituted families, assumptions of continued high level assistance from informal support networks - family and friends - are often criticized.
The main objective of this research is to project the future availability of informal support network to meet the need for assistance in performing everyday activities among the disabled elderly population for the period 2001 to 2031. The research examined both sides - supply and demand - of the projected increases in need for assistance for disabled older persons. Future trends are analyzed in terms of demand for support, (that is, changes in the rates of disability among the elderly population), and supply of informal support, (which is largely related to the extent and composition of the family network). Data from two national surveys, the 1996 National Population Health Survey (NPHS) and the 1996 General Social Survey (GSS), are used to identify factors associated with disability and sources of assistance among the elderly population. These results were entered into Statistics Canada's LifePaths microsimulation model to project the use of informal and formal networks in the future. The model also incorporates three disability scenarios to test the sensitivity of the projections when different assumptions are considered. The implications of these trends on the future need for chronic home care services are discussed.
The results show that for the period 2001 to 2031, the average annual growth rate of the number of disabled elderly needing assistance could be about 2.5%. However, the sensitivity analysis shows that an improvement in the health of the population could reduce in a non negligible way this growth rate.
The results also show that, all things being equal, a greater proportion of elderly persons living with a spouse would relieve some of the pressure on the formal network. This positive effect could be dampened in part when joint survivorship is also meaning joint disability.
Release date: 2008-12-18 - Articles and reports: 12-001-X20050018083Description:
The advent of computerized record linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. This, however, introduces linkage errors due to mismatching an individual from one database with a different individual from the other database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk such as standardized mortality ratios and relative risk regression model parameters is explored. It is shown that the observed and expected number of deaths are affected in opposite direction and, as a result, these indicators can be subject to bias and additional variability in the presence of linkage errors.
Release date: 2005-07-21 - 9. The effect of record linkage errors on statistical inference in cohort mortality studies ArchivedArticles and reports: 11-522-X20010016277Description:
This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.
The advent of computerized record-linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk, such as standardized mortality ratios and relative risk regression model parameters, is explored. It is shown that these indicators can be subject to bias and additional variability in the presence of linkage errors, with false links and non-links leading to positive and negative bias, respectively, in estimates of the standardized mortality ratio. Although linkage errors always increase the uncertainty in the estimates, bias can be effectively eliminated in the special case in which the false positive rate equals the false negative rate within homogeneous states defined by cross-classification of the covariates of interest.
Release date: 2002-09-12 - 10. Family and demographic changes and the economic well-being of preschool-age children in Canada, 1981-1997 ArchivedArticles and reports: 91-209-X20000005748Geography: CanadaDescription: Several different analyses have considered the impact of family and demographic change on the economic conditions affecting children (Dooley, 1988, 1991; McQuillan, 1992; Picot and Myles, 1996). The present study updates this reserach to 1997, while shifting the emphasis to families with very young children.Release date: 2001-06-22
Reference (1)
Reference (1) ((1 result))
- Surveys and statistical programs – Documentation: 99-137-XDescription:
Statistics Canada has produced a hierarchical PUMF that relies on perturbation instead of suppression to protect data confidentiality. This paper describes the creation of this new type of PUMF for the Agency. The creation of this PUMF using data perturbation techniques, a first for Statistics Canada, was in many ways a research development project. In the process, ways were devised to avoid overlap with other PUMFs, to adapt and apply risk measures for a multitude of personal and household characteristics, and to carry out perturbations for related characteristics.
Release date: 2015-12-10
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