numbers of men and women over 60 years old, and their ... and compares men and women in each country. XX .... Belarus (2009) Nweighted = 9, 405, 940. 0.
Household Living Arrangements of Older People Proportions of over 60s by household type and intergenerational structure in selected countries
Europe
The prevalence of different household living arrangements varies across countries and across different population groups. This factsheet focuses on people over 60 years of age and compares men and women in each country. XX
Ireland (2011)
Using census microdata collected in the IPUMS-International database (Minnesota Population Center, 2017) we summarise the types of households in which older people live using two typologies:
Belarus (2009)
Nweighted = 4, 745, 350
1
Composite Extended
Two gen.
0.8
0.8 Two gen.
0.6
Nuclear
0.6 One gen.
• the intergenerational structure of the household.
One gen.
Nuclear
0.4
The proportions displayed are of individuals living in each type of household (not proportions of households of each type) and show important differences between genders, as well broader patterns that can be observed regionally and globally. The living arrangements of older people can also be contrasted to the average of the population as a whole, which is displayed as the background of each bar chart.
0.4
0.2
0
Women (8.60 %)
Greece (2001)
Men (7.50 %)
Men (6.60 %)
Women (8.60 %)
1
1
Nweighted = 38, 419, 350
Two gen.
0.6 Nuclear
Skipped gen.
0.6 Nuclear
One gen.
0.4
Extended
0.4
Men (10.58 %)
0.4
Nuclear
Two gen.
0.2
0.2
One person
One gen.
Men (2.88 %)
Senegal (2002)
Women (3.91 %)
Nweighted = 9, 945, 620
1
Skipped gen.
Men (2.33 %)
Women (3.68 %)
0
Men (2.33 %)
Men (10.58 %)
Men (6.74 %)
Women (12.59 %)
1
Composite
0.8
0.8
0.6
0.6
1
Composite
Skipped gen.
Nuclear
One gen.
Nuclear
Extended
Three+ gen.
0.2
0.2
0.6
Three+ gen.
Extended 0.4
Two gen.
0.4 Nuclear
0.2
One person
One gen. One person Women (2.71 %)
One person
One person Men (3.18 %)
Women (4.83 %)
0
Men (3.18 %)
Women (4.83 %)
Legend
1 Composite household—other persons are present who are not related to the head. 0.8 Extended household—members beyond the family nucleus are related by blood or marriage. Nuclear household—a couple with or without children, or a single parent.
0.2
One person household—A single person living alone. This is defined the same in both typologies presented here.
0 Total Population—in both charts the white shaded background displays the proportions of the whole population in each of the household types. The bars refer to the over 60s only. 1
Skipped generation household—at least one generation missing. Usually head with grandchildren but without children.
0.8
Three or more generation household—at least two more persons of different generations than the head (but without skipping generations).
0.6
One generation household—at least one more person of the same age group as the head Usually a spouse, but can also be sibling etc.
0.2
One person household—A single person living alone. This is defined the same in both typologies presented here.
0
Women (14.22 %)
Men (10.79%)
Men (8.33 %)
Women (14.22 %)
The width of the two bars corresponds to the relative numbers of men and women over 60 years old, and their percentage is given underneath. All proportions are based on weighted counts with the total Nweighted given above the chart. For definitions see legend descriptions to the left; the first set of household types uses UN recommended definitions for census data (United Nations, 1997), while the second intergenerational structure is an ad hoc typology.
Armenia (2011) Composite
0
Women (11.21 %)
Men (8.33 %)
Women (11.21 %)
Asia Mongolia(2000)
China (2000)
Nweighted = 1, 180, 434, 400
In each chart the two typologies are presented side by side, for both men and women over 60. The lightly shaded background represents the distribution for the population as a whole.
Nweighted = 3, 018, 310
1
Skipped gen.
1
Skipped gen.
0.8
0.8
Extended
Three+ gen.
Extended
Three+ gen.
0.6
0.6
0.4
0.4
Two gen.
Two gen.
Nuclear
Nuclear One gen.
0.2 One person Men (5.28 %)
Nweighted = 2, 437, 250
1
Composite
Skipped gen.
0
Women (5.56%)
One person Men (5.28 %)
Palestine (2007)
Composite
0.2
Men (2.31 %)
Women (5.56%)
0
Women (2.98 %)
Men (2.31 %)
Kyrgyz Rep.(2009)
Nweighted = 2, 188, 173
1
One gen. One person
One person
Composite
Skipped gen.
1
Women (2.98 %)
Nw = 5, 649, 860 Skipped gen.
Three+ gen. 0.8
0.8
Extended
0.8
Three+ gen.
Extended
Extended
0.6
Two generation household—at least one more person one generation younger/older than the head. Usually child(ren), can also be parent etc.
0.4
Men (10.79%)
0
One gen.
0.2 Two gen.
Men (2.70 %)
One person
One person One person
0.4
One gen.
0.4
0.8
0.6
0.6
Skipped gen. Three+ gen.
Two gen.
0.4
0
Women (10.22 %)
Two gen.
Nweighted = 51, 772, 540
0.8
Women (2.71 %)
1
Extended
SouthAfrica(2011)
Composite
Men (2.70 %)
Men (6.74 %)
Nweighted = 21, 379, 670
Composite
Skipped gen. Three+ gen.
Extended
Women (3.68 %)
0
Women (10.22 %)
Romania (2002)
Nweighted = 10, 577, 400
One person
One person
0
Women (12.59 %)
One person
One person
Portugal (2011)
Nuclear
One gen.
One person
0.2 One person
Three+ gen.
Two gen.
Nuclear One person
One gen.
0.4
0.2 0.6
Three+ gen.
One person
0
0.8
0.8
0.6
Women (3.91 %)
Skipped gen.
1
Composite
0.8
Men (2.88 %)
Women (12.40 %)
Three+ gen.
Extended
Two gen.
Skipped gen.
Extended
Men (6.60 %)
Nweighted = 38, 240, 560
Composite
Skipped gen. Three+ gen.
0.8
Composite
0
Women (12.40 %)
Poland (2002)
Nweighted = 10, 288, 840
1
Extended
Kenya (2009)
One person
One person
Men (7.50 %)
Africa
0.2
One person
One person
Composite
Nweighted = 2, 017, 520
Skipped gen. Three+ gen.
Extended
• the household composition based on family nuclei, and
Botswana (2011)
Nweighted = 9, 405, 940
1
Composite
Skipped gen. gen. Three+
0.4
0.4 Two gen.
Nuclear
Nuclear
0.2
One person
One person Men (6.05 %)
One gen.
One gen.
0.2
Women (8.65 %)
0
One person
One person Men (6.05 %)
Men (3.39 %)
Women (8.65 %)
0.6
0.4
Two gen.
Nuclear
Three+ gen.
Two gen.
0.6
0
Women (3.87 %)
Men (3.39 %)
0.2
One person
One person Men (2.64 %)
Women (3.87 %)
One gen.
0
Women (3.78 %)
Men (2.64 %)
Women (3.78 %)
Americas United States (2000) 1
Composite Extended
Nw = 281, 421, 906 Skipped gen. Three+ gen.
Panama (2010)
Nweighted = 3, 411, 180
1
Composite
Two gen.
0.8
Skipped gen.
0.8
Three+ gen.
Extended 0.6
Dominican Rep.(2010)
Nw = 9, 437, 840
1
Composite
Nweighted = 190, 822, 749 1
Skipped gen.
Skipped gen. Extended
0.8 Extended
Three+ gen.
0.8
Three+ gen.
0.6
One gen.
Brazil (2010) Composite
0.6
0.6 Two gen.
Nuclear 0.4
Two gen.
0.4
Nuclear
0.4
Two gen.
0.2
One gen.
Nuclear
0.4
Nuclear
One gen. 0.2 One person Men (6.93 %)
One gen.
0.2
One person One person
Women (9.34 %)
0
Mexico (2015)
Men (6.93 %)
Nweighted = 119, 561, 904
1
Composite
Women (9.34 %)
Skipped gen.
Men (5.14 %)
One person Women (5.48 %)
0
Men (5.14 %)
Nicaragua (2005)
Nweighted = 5, 154, 850
1
Composite
One person Men (4.39 %)
Women (5.48 %)
Skipped gen.
One person 0
Women (4.68 %)
Men (4.39 %)
Puerto Rico (2000) 1
Composite
0.8
0.8
Three+ gen.
Extended
Skipped gen.
0.8 Three+ gen.
0.6
Two gen.
0.6 Nuclear
0.4
0.4
One gen.
0.4
Nuclear One gen.
0.2
One person
One person Men (4.86 %)
Women) (5.64 %)
0
Men (4.86 %)
Women) (5.64 %)
Two gen. Nuclear
0.2
0.2 One gen.
One person Men (2.84 %)
Women (3.22 %)
0
One person
One person
One person Men (2.84 %)
Women (3.22 %)
Population Horizons Factsheet IV.
Men (6.76 %)
Men (4.80 %)
Women (6.00 %)
0
Men (4.80 %)
Women (6.00 %)
Nw = 3, 808, 610
Two gen. 0.6
One person
One person
References:
Three+ gen.
Extended Extended
Women (4.68 %)
0.2
Women (8.59 %)
0
Men (6.76 %)
Women (8.59 %)
Minnesota Population Center (2017). Integrated Public Use Microdata Series, International: Version 6.5 [dataset]. Minneapolis: University of Minnesota. data retrieved 16.6.2017 from http://doi.org/10.18128/D020.V6.5. United Nations (1997). Principles and recommendations for population and housing censuses. Statistics Division, Department of Economic and Affairs, United Nations New York. For full dataset, tables and code see https://github.com/majazaloznik/PH.13.02.FS.
(2016) Vol.13 Issue 2 Prepared by Maja Zaloˇ znik – DOI 10.1515/pophzn-2016-0013 – S.5