In recent years, the number of women in single-person households increased slightly but constantly in Denmark. There were just over 717 thousand single-woman households registered in 2022. Among these, most of them were elderly women, in the age group of 70 to 79 years. Young women aged 20 years and younger rarely lived alone, the number amounted to around four and a half thousand single-woman households.

Single-man households    The number of single-man households in Denmark was growing in the past, like the single-woman households. More and more men lived in single households but compared with single-woman households, the number was lower. In 2022, it was around 556 thousand. Besides that, the distribution of age groups was different as most of the single-men were 50 to 59 years old.

 Single-person households in Sweden    Also in Sweden, Denmark’s neighboring country, the number of both single-man and single-woman households increased. As of 2021, there were approximately 966 thousand men living in single households and more than one million women living in single households in the country.
 

In the Netherlands in 2023, there were approximately 1.67 million single women living on their own and about 1.6 million single men living on their own. The number of single people living on their own, both male and female, has been consistently increasing since 2009.

The largest age group of women living in single-person households in Sweden was aged 75 to 84 years, reaching 202,000 women. By comparison, the highest proportion of men living in single-person households were between 25 and 34 years old.

In 2022, there were more single males living in Canada than women. There were 9.67 million single males in Canada in that year, and 8.6 million single females. These figures have been increasing steadily since 2000.

This dataset includes birth rates for unmarried women by age group, race, and Hispanic origin in the United States since 1970.

Methods for collecting information on marital status changed over the reporting period and have been documented in:

• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf. • National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.

National data on births by Hispanics origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; for New Hampshire and Oklahoma in 1990; for New Hampshire in 1991 and 1992. Information on reporting Hispanic origin is detailed in the Technical Appendix for the 1999 public-use natality data file (see (ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Dataset_Documentation/DVS/natality/Nat1999doc.pdf.)

All birth data by race before 1980 are based on race of the child. Starting in 1980, birth data by race are based on race of the mother.

As of June 2021, around **** percent of men and about ** percent of women are single in China. The gap is likely to be caused by the imbalanced gender ratio in China.

In a survey conducted between December 2021 and January 2022, around **** percent of unmarried women aged 20 to 39 in Japan reported that they never had a romantic partner. In the same survey, the share of single men who never had a romantic relationship was higher in all age groups.

This dataset includes number of births to unmarried women by age group in the United States since 1940.

Methods for collecting information on marital status changed over the reporting period and have been documented in:

• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf.

• National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

European Share of Single Female Households by Country, 2023 Discover more data with ReportLinker!

This report was written in collaboration between the Mayor's Office of Innovation and the Rochester Monroe Anti-Poverty Initiative (RMAPI) and released in December 2019. Executive SummaryThe Rochester Monroe Anti-Poverty Initiative (RMAPI) has selected single female headed households with children as one of its key target populations in which to focus strategy and its next phase of initiatives. This report is intended to provide additional insight on this population to support the next phase of RMAPI’s strategic planning as well as broader advocacy efforts on behalf of this population.

We begin with a brief summary of historic policy and societal factors known to have contributed to the current day inequities, written in collaboration with content experts from RMAPI.

The core of this report is a fact sheet based on analysis of US Census data. Major findings include:

Finding 1: Families headed by unmarried parents are a significant segment of the city population and account for the majority of individuals living below the poverty level in the city.

Finding 2: Unmarried households with children experience lower incomes, lower rates of home ownership, and higher rent burdens compared to their married counterparts

Finding 3: Women and people of color are overrepresented among the heads of unmarried households with children.

Finding 4: Four in ten unmarried householders with children have less than a high school education. Nearly 80 percent of those without a high school education are in poverty.

Finding 5: Unmarried householders with children in poverty are more likely to be disabled or face other common barriers to employment.

Finding 6: The more adults present in unmarried households with children, the less likely that household is to be in poverty. This trend amplifies when considering the number of employed adults.

Finding 7: Unmarried parents under age 40 head the majority of all households with children in Rochester. Younger householders correlate with higher poverty rates regardless of marriage status.

Finding 8: A birth before age 20, being unmarried, and having not completed high school education are three factors that, when compounded, are associated with poor economic outcomes.

Finding 9: The highest densities of unmarried householders with children are clustered in the highest poverty neighborhoods in the city of Rochester

We end with a discussion of the gaps in available data, acknowledging that there is room for further investigation and interpretation, data collection, and insights. We recommend readers to think critically about what is presented and how it might impact their own work in poverty reduction efforts. We present a series of questions that are a jumping off point for new inquiry and reflection. Methodology can be found in the Appendix.

Data Source:2017 Census American Community Survey 5-Year Estimates, Public Microdata SampleData and documentation can be accessed here:https://www.census.gov/programs-surveys/acs/data/pums.html

El Salvador SV: Age Dependency Ratio: % of Working-Age Population data was reported at 55.401 % in 2017. This records a decrease from the previous number of 55.968 % for 2016. El Salvador SV: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 81.259 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 96.987 % in 1967 and a record low of 55.401 % in 2017. El Salvador SV: Age Dependency Ratio: % of Working-Age Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s El Salvador – Table SV.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.

Graph and download economic data for Expenditures: Apparel, Women, 16 and over by Number of Earners: Single Consumers, No Earner (CXUWOMENSLB0702M) from 1984 to 2023 about apparel, females, expenditures, consumer, and USA.

This dataset includes percent distribution of births to unmarried women by age group in the United States since 1970.

Methods for collecting information on marital status changed over the reporting period and have been documented in:

• Ventura SJ, Bachrach CA. Nonmarital childbearing in the United States, 1940–99. National vital statistics reports; vol 48 no 16. Hyattsville, Maryland: National Center for Health Statistics. 2000. Available from: http://www.cdc.gov/nchs/data/nvsr/nvsr48/nvs48_16.pdf. • National Center for Health Statistics. User guide to the 2013 natality public use file. Hyattsville, Maryland: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm.

Encuesta de Fecundidad: Females between 15 and 49 years, single actual age (years) number of live births. National. Distribution of females by actual age and No. of live births (rel.fig.).

Austria Household Income: Disposable: Avg: Without Pension: Single Women data was reported at 26,149.000 EUR in 2020. This records an increase from the previous number of 23,885.000 EUR for 2019. Austria Household Income: Disposable: Avg: Without Pension: Single Women data is updated yearly, averaging 21,060.000 EUR from Dec 2005 to 2020, with 16 observations. The data reached an all-time high of 26,149.000 EUR in 2020 and a record low of 18,631.000 EUR in 2007. Austria Household Income: Disposable: Avg: Without Pension: Single Women data remains active status in CEIC and is reported by Statistics Austria. The data is categorized under Global Database’s Austria – Table AT.H014: Household Income and Expenditure.

Context

This dataset includes number of births to unmarried women by age group in the United States since 1940. Methods for collecting information on marital status changed over the reporting

Content

Age group level year wise unmarried birth data

Acknowledgements

Thanks to National Center for Health Statistics and CDC Picture credit to Wikipedia

In 2023, **** percent of women between 30 and 39 years old with a university degree in Singapore were single, making it the highest share of single women in that age group. In comparison, ** percent of women whose highest education level was secondary school were single, the lowest share of single women in that age group. This is not the case for single males between 30 and 39 years old in Singapore.

Number of unmarried women and men aged 25–49 years per partner available for hypergamy or homogamy.

Financial overview and grant giving statistics of Penn Asylum for Indigent Widows and Singlewomen

Population, female (% of total population) in World was reported at 49.72 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Population, female (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.