Key findings: How living arrangements vary by religious affiliation around the world
Globally, Muslims live in the biggest households, followed by Hindus, Christians, Buddhists, Jews and the religiously unaffiliated.
Numbers, Facts and Trends Shaping Your World
Household size and composition often vary by religious affiliation, data from 130 countries and territories reveals. Muslims and Hindus have larger households than Christians and religious “nones,” influenced in part by regional norms.
Views of the U.S. are generally positive across 33 countries surveyed in 2019, as a median of 54% say they have a favorable opinion of the U.S., compared with 38% who have an unfavorable view. Ratings are particularly positive in Poland, the Philippines, South Korea and Israel – in each about eight-in-ten say they view […]
People move between different types of households throughout their lives. Someone born into a two-parent home might become a member of an extended-family household when a grandmother moves in, live as a couple with their spouse in middle adulthood and end up in a solo household after that partner dies. Differences in living arrangements are […]
There is a wide divergence across Europe in attitudes toward Muslims. Generally, more favorable views of Muslims exist in Western Europe, Russia and Ukraine while more negative attitudes persist in Southern, Central and Eastern Europe. Solid majorities of people in the United Kingdom, France, the Netherlands, Germany and Sweden have positive opinions of Muslims in […]
Many of these experts pointed out that technology is neither inherently helpful nor harmful. It is simply a tool. They said the real effects of technology depend upon how it is wielded. It can be used to inspire and catalyze change just as easily as it can be used in ways that are detrimental to […]
Data sources and analytical approaches used in the report are described in this section. First, this appendix provides shares of the populations that are represented in the study and details on the underlying source data. It goes on to explain how household types were categorized based on relationships in household rosters and how household sizes […]