This statistic shows the percentage of single-person households in the United States in 2022, by state. In 2022, about 23.9 percent of Californian households were single-person households. In 2022, there were an estimated 36.05 million single-person households in the U.S. The number of single-person households has increased gradually since 1960.

This statistic presents the percentage of people living alone in France in 2019, distributed by age and by gender. It reveals that **** percent of women aged from 80 years old and more were living alone, whereas ** percent of men of the same age also lived alone.

This graph shows the percentage of the French population that lives in a single-person household from 2007 to 2017. Despite some fluctuation during this ten year period there was an overall increase of 1.2 percent. The peak was in 2017 at 16.4 percent.

Data supporting the article “The cost of living alone”

CD529 - Percentage of Population Living Alone in Private Households. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Percentage of Population Living Alone in Private Households...

Percentage of Population Living Alone in Private Households by Sex, Province County or City, CensusYear, Statistic and Age Group

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Analysis of ‘CD529 - Percentage of Population Living Alone in Private Households’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/4cd4ee53-acbd-4739-93c7-f5f287593c1b on 14 January 2022.

--- Dataset description provided by original source is as follows ---

Percentage of Population Living Alone in Private Households

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A0315 - 1996 Population Aged 70 Years and Over and Percentage of those Living Alone in Private Households. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).1996 Population Aged 70 Years and Over and Percentage of those Living Alone in Private Households...

B0314 - 2002 Population Aged 65 Years and Over and Percentage of those Living Alone in Private Households. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).2002 Population Aged 65 Years and Over and Percentage of those Living Alone in Private Households...

In 2023, the percentage of the Swedish population that lives in a single-person household was **** percent. The peak was at that year. It increased steadily after 2018.

Percentage of Population Living Alone in Private Households 2011 to 2016 by Sex, County and City, CensusYear, Statistic and Age Group

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Analysis of ‘C1130 – Population with a Disability and percentage Living Alone in Private Households ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/e5e53f58-6f41-40fa-8705-f9714f1513dd on 13 January 2022.

--- Dataset description provided by original source is as follows ---

Population with a Disability and percentage Living Alone in Private Households

--- Original source retains full ownership of the source dataset ---

All around the world, more and more people are single and live alone. In 2018, there were about 200 million single adults residing in China and more than a third of them lived alone. The world’s most populous country has been facing an increasing trend of delaying marriage and a rising divorce rate in recent years.

What makes tying the knot so hard? Getting married could be a long struggle for many Chinese adults. Owing to the decades-long one-child policy and the preference for a male child, China has an imbalanced sex ratio with over 30 million more men than women in 2018. The male ratio was particularly high in provinces like Guangdong and Tianjin. Furthermore, certain socio-economic expectations make searching for a life partner hard among the Chinese. A potential bride or bridegroom is expected to be multifaceted with emphasis laid on physical appearance alongside personal traits. A 2019 survey showed that many Chinese residing in big cities had the expectation that an ideal partner must earn a competitive salary.

Happily ever after? One might ask “Has this quest for the ideal lover been successful?” Based on the spike in China’s marriage rate in 2013, one might agree. However, many fairytale romances were short-lived with the country’s divorce rate having shot up and the marriage rate having declined to 7.3 percent by 2018.

Population with a Disability and Percentage Living Alone in Private Households by Type of Disability, Province County or City, CensusYear, Sex and Statistic

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Univariate analyses by home living conditions (living alone versus with others).

C1130 - Population with a Disability and Percentage Living Alone in Private Households. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Population with a Disability and Percentage Living Alone in Private Households...

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2021 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..The 2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

B1032 - 2002 Population with a Disability and Percentage Living Alone in Private Households. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).2002 Population with a Disability and Percentage Living Alone in Private Households...

Population Aged 65 Years and Over and Percentage of those Living Alone in Private Households by Sex, Province County or City, CensusYear and Statistic

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This graph shows the percentage of the Austrian population that lives in a single-person household from 2007 to 2016. During this ten year period there was an overall increase of *** percent. The peak was in 2015 and 2016 at **** percent.