In 2022, the median annual family income of lone-parent families in Canada increased by 2,100 dollars (+3.7 percent) since 2021. Therefore, the median annual income in Canada reached a peak in 2022 with 58,850 dollars.

This graph shows the Percentage of households led by a female householder with no spouse present with own children under 18 years living in the household in the U.S. in 2021, by state. In 2021, about 4.24 percent of Californian households were single mother households with at least one child.

Additional information on single mother households and poverty in the United States

For most single mothers a constant battle persists between finding the time and energy to raise their children and the demands of working to supply an income to house and feed their families. The pressures of a single income and the high costs of childcare mean that the risk of poverty for these families is a tragic reality. Comparison of the overall United States poverty rate since 1990 with that of the poverty rate for families with a female householder shows that poverty is much more prevalent in the latter. In 2021, while the overall rate was at 11.6 percent, the rate of poverty for single mother families was 23 percent. Moreover, the degree of fluctuation tends to be lower for single female household families, suggesting the rate of poverty for these groups is less affected by economic conditions.

The sharp rise in the number of children living with a single mother or single father in the United States from 1970 to 2022 suggests more must be done to ensure that families in such situations are able to avoid poverty. Moreover, attention should also be placed on overall racial income inequality given the higher rate of poverty for Hispanic single mother families than their white or Asian counterparts.

Italy AAHI: Household Typology: Single Parent with at least One Children data was reported at 22,574.000 EUR in 2016. This records a decrease from the previous number of 22,709.000 EUR for 2015. Italy AAHI: Household Typology: Single Parent with at least One Children data is updated yearly, averaging 20,863.000 EUR from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 22,709.000 EUR in 2015 and a record low of 20,150.000 EUR in 2003. Italy AAHI: Household Typology: Single Parent with at least One Children data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.H014: Average Annual Household Income.

Families of tax filers; Single-earner and dual-earner census families by number of children (final T1 Family File; T1FF).

For a single parent with two children, earning the average wage, the United States had proportionately the most expensive childcare among selected countries, with net childcare costs taking up ** percent of net household income. This figure was around nine percent in the OECD on average.

Italy AAHI: Household Typology: Single Parent with Adult Sons data was reported at 30,465.000 EUR in 2015. This records an increase from the previous number of 30,138.000 EUR for 2014. Italy AAHI: Household Typology: Single Parent with Adult Sons data is updated yearly, averaging 31,011.000 EUR from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 33,398.000 EUR in 2009 and a record low of 29,408.000 EUR in 2003. Italy AAHI: Household Typology: Single Parent with Adult Sons data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.H014: Average Annual Household Income.

In 1990, 48.1 percent of all Black families with a single mother in the United States lived below the poverty level. In 2023, that figure had decreased to 25.9 percent. This is significantly higher than white households with a single mother. Poverty is the state of one who lacks a certain amount of material possessions or money. Absolute poverty or destitution is inability to afford basic human needs, which commonly includes clean and fresh water, nutrition, health care, education, clothing and shelter.

Families of tax filers; Distribution of total income by census family type and age of older partner, parent or individual (final T1 Family File; T1FF).

Norway Average Household Income: IT: TR: TF: Other Tax Free Transfers data was reported at 2,500.000 NOK in 2016. This stayed constant from the previous number of 2,500.000 NOK for 2015. Norway Average Household Income: IT: TR: TF: Other Tax Free Transfers data is updated yearly, averaging 2,200.000 NOK from Dec 2005 (Median) to 2016, with 12 observations. The data reached an all-time high of 2,600.000 NOK in 2014 and a record low of 1,700.000 NOK in 2008. Norway Average Household Income: IT: TR: TF: Other Tax Free Transfers data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.H014: Average Household Income. Other tax-free transfers benefits such as childcare benefit to single parents, lump sum maternity grants, compensation for work injury, education benefit to single parents and received child support managed by public arrangement. Various benefits received by people attending job creating programs are included since 2009. Since 2014, extra compensation for recipients of contractual pension (AFP) is included.

Australia Weekly Equivalized Disposable Income: 2017-18p: Mean: One Family: One Parent with Dependent Children data was reported at 713,000.000 AUD in 2018. Australia Weekly Equivalized Disposable Income: 2017-18p: Mean: One Family: One Parent with Dependent Children data is updated yearly, averaging 713,000.000 AUD from Jun 2018 (Median) to 2018, with 1 observations. Australia Weekly Equivalized Disposable Income: 2017-18p: Mean: One Family: One Parent with Dependent Children data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H014: Survey of Income and Housing: Equivalized Disposable Household Income: by Family Composition.

Australia Average Number of Dependent Children in Household: One Family: One Parent with Dependent Children data was reported at 1.800 Person in 2020. This stayed constant from the previous number of 1.800 Person for 2018. Australia Average Number of Dependent Children in Household: One Family: One Parent with Dependent Children data is updated yearly, averaging 1.710 Person from Jun 2003 (Median) to 2020, with 10 observations. The data reached an all-time high of 1.800 Person in 2020 and a record low of 1.700 Person in 2016. Australia Average Number of Dependent Children in Household: One Family: One Parent with Dependent Children data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H039: Survey of Income and Housing: Average Number of Dependent Children in Household: by Family Composition.

Australia Weekly Gross Income: 2017-18p: Mean: One Family: One Parent with Dependent Children data was reported at 1,499,000.000 AUD in 2018. Australia Weekly Gross Income: 2017-18p: Mean: One Family: One Parent with Dependent Children data is updated yearly, averaging 1,499,000.000 AUD from Jun 2018 (Median) to 2018, with 1 observations. Australia Weekly Gross Income: 2017-18p: Mean: One Family: One Parent with Dependent Children data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H016: Survey of Income and Housing: Gross Household Income: by Family Composition.

There is more to housing affordability than the rent or mortgage you pay. Transportation costs are the second-biggest budget item for most families, but it can be difficult for people to fully factor transportation costs into decisions about where to live and work. The Location Affordability Index (LAI) is a user-friendly source of standardized data at the neighborhood (census tract) level on combined housing and transportation costs to help consumers, policymakers, and developers make more informed decisions about where to live, work, and invest. Compare eight household profiles (see table below) —which vary by household income, size, and number of commuters—and see the impact of the built environment on affordability in a given location while holding household demographics constant.*$11,880 for a single person household in 2016 according to US Dept. of Health and Human Services: https://aspe.hhs.gov/computations-2016-poverty-guidelinesThis layer is symbolized by the percentage of housing and transportation costs as a percentage of income for the Median-Income Family profile, but the costs as a percentage of income for all household profiles are listed in the pop-up:Also available is a gallery of 8 web maps (one for each household profile) all symbolized the same way for easy comparison: Median-Income Family, Very Low-Income Individual, Working Individual, Single Professional, Retired Couple, Single-Parent Family, Moderate-Income Family, and Dual-Professional Family.An accompanying story map provides side-by-side comparisons and additional context.--Variables used in HUD's calculations include 24 measures such as people per household, average number of rooms per housing unit, monthly housing costs (mortgage/rent as well as utility and maintenance expenses), average number of cars per household, median commute distance, vehicle miles traveled per year, percent of trips taken on transit, street connectivity and walkability (measured by block density), and many more.To learn more about the Location Affordability Index (v.3) visit: https://www.hudexchange.info/programs/location-affordability-index/. There you will find some background and an FAQ page, which includes the question:"Manhattan, San Francisco, and downtown Boston are some of the most expensive places to live in the country, yet the LAI shows them as affordable for the typical regional household. Why?" These areas have some of the lowest transportation costs in the country, which helps offset the high cost of housing. The area median income (AMI) in these regions is also high, so when costs are shown as a percent of income for the typical regional household these neighborhoods appear affordable; however, they are generally unaffordable to households earning less than the AMI.Date of Coverage: 2012-2016 Date Released: March 2019Date Downloaded from HUD Open Data: 4/18/19Further Documentation:LAI Version 3 Data and MethodologyLAI Version 3 Technical Documentation_**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**

Title: Location Affordability Index - NMCDC Copy

Summary: This layer contains the Location Affordability Index from U.S. Dept. of Housing and Urban Development (HUD) - standardized household, housing, and transportation cost estimates by census tract for 8 household profiles.

Notes: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas.

Prepared by: dianaclavery_uo, copied by EMcRae_NMCDC

Source: This map is copied from source map: https://nmcdc.maps.arcgis.com/home/item.html?id=de341c1338c5447da400c4e8c51ae1f6, created by dianaclavery_uo, and identified in Living Atlas. Check the source documentation or other details above for more information about data sources.

Feature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=447a461f048845979f30a2478b9e65bb

UID: 73

Data Requested: Family income spent on basic need

Method of Acquisition: Search for Location Affordability Index in the Living Atlas. Make a copy of most recent map available. To update this map, copy the most recent map available. In a new tab, open the AGOL Assistant Portal tool and use the functions in the portal to copy the new maps JSON, and paste it over the old map (this map with item id

Date Acquired: Map copied on May 10, 2022

Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 6

Tags: PENDING

Household income statistics by household type (couple family, one-parent family, non-census family households) and household size for Canada, provinces and territories, census divisions and census subdivisions.

This statistic depicts the median annual family income of single-earner couple families in Canada from 2000 to 2020. In 2020, the median annual family income of male single-earner couple families was 34,390 Canadian dollars.

Australia Average Number of Persons in Household: One Family: One Parent with Dependent Children: Age: 65 Years And Over data was reported at 0.000 Person in 2020. This stayed constant from the previous number of 0.000 Person for 2018. Australia Average Number of Persons in Household: One Family: One Parent with Dependent Children: Age: 65 Years And Over data is updated yearly, averaging 0.000 Person from Jun 2006 (Median) to 2020, with 8 observations. The data reached an all-time high of 0.000 Person in 2020 and a record low of 0.000 Person in 2020. Australia Average Number of Persons in Household: One Family: One Parent with Dependent Children: Age: 65 Years And Over data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H037: Survey of Income and Housing: Average Number of Persons in Household: by Age.

Australia Average Number of Persons in Household: One Family: One Parent with Dependent Children data was reported at 3.100 Person in 2020. This stayed constant from the previous number of 3.100 Person for 2018. Australia Average Number of Persons in Household: One Family: One Parent with Dependent Children data is updated yearly, averaging 3.000 Person from Jun 2001 (Median) to 2020, with 11 observations. The data reached an all-time high of 3.100 Person in 2020 and a record low of 2.900 Person in 2004. Australia Average Number of Persons in Household: One Family: One Parent with Dependent Children data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.H037: Survey of Income and Housing: Average Number of Persons in Household: by Age.

The Priority Neighborhoods dataset is a part of the City of Oakland Department of Transportation's (OakDOT's) Geographic Equity Toolbox. The Priority Neighborhoods GIS dataset relies upon demographic data from the American Community Survey (ACS). This dataset assigns each census tract in Oakland a numerical priority value and a quantile from lowest and highest, as determined by the following seven weighted demographic factors (with weights in brackets "[XX%]"): • People of Color [25%] • Low-income Households (<50% of Area Median Income for a 4-person household) [25%] • People with Disability [10%] • Seniors 65 Years and Over [10%] • Single Parent Families [10%] • Severely Rent-Burdened Households [10%] • Low Educational Attainment (less than a bachelor's degree) [10%]

This dataset was last updated in October 2024 with data from the 2022 5-year (i.e., averaged from 2018 through 2022) American Community Survey (ACS). The ACS is managed by the United States Census Bureau; learn more about the ACS at: https://www.census.gov/programs-surveys/acs.

See the online map and read the methodology at: https://www.oaklandca.gov/resources/oakdot-geographic-equity-toolbox. This dataset is maintained by the OakDOT Race and Equity Team; learn more about the team at: https://www.oaklandca.gov/topics/oakdot-race-and-equity-team.

Field Descriptions: • TRACT: Census Tract Number • QUINTILE: Priority Quintile (calculated) • PLAN_AREA: OakDOT Planning Area • POPULATION: Population (average from 2018 through 2022) • PCT_POC: Percent People of Color • PCT_INC: Percent Low Income • PCT_SRB: Percent Severely Rent-Burdened • PCT_PWD: People with a Disability • PCT_SENIOR: Percent Seniors • PCT_SPH: Percent Single Parent Households • PCT_EDU: Percent Low Educational Attainment • RAT_POC: Ratio of People of Color (compared to Citywide average) • RAT_INC: Ratio of Low Income (compared to Citywide average) • RAT_SRB: Ratio of Severely Rent-Burdened (compared to Citywide average) • RAT_PWD: Ratio of People with a Disability (compared to Citywide average) • RAT_SENIOR: Ratio of Seniors (compared to Citywide average) • RAT_SPH: Ratio of Single Parent Households (compared to Citywide average) • RAT_EDU: Ratio of Low Educational Attainment (compared to Citywide average) • RAT_SCORE: Priority Ratio (compared to Citywide average) • ALAND: Land Area in square feet

City of Oakland, Department of Transportation (OakDOT) 250 Frank H. Ogawa Plaza, Suite 4314 | Oakland, CA 94612

This statistic displays the average amount of disposable income per private household in the Netherlands in 2021, by household type. It shows that on average households had a disposable income of roughly 48,400 euros in 2021. Single-parent households had a slightly lower than average disposable income, at just over 41,200 euros.

ObjectivesData on the association between sleep problems and chronic conditions among single parents in low- and middle-income countries (LMICs) are limited, and no study has, to date, reported the serial mediation effects of functional limitations and poor health-related quality of life (HRQoL) in this association. This study examines the extent to which functional limitations and poor HRQoL serially explain the link between sleep problems and chronic conditions among single parents in Ghana.MethodsData on 627 single mothers and fathers were obtained through a multi-stage stratified sampling technique. Sleep duration, nocturnal sleep problems, and daytime sleep problems were used to assess sleep problems. The EQ-5D-3L questionnaire was used to measure HRQoL. Multivariable OLS models and bootstrapping serial mediation analyses were performed to evaluate the hypothesized associations.ResultsThe mean age (SD) was 45.0 (14.66) years; 67.3% females. After full adjustment, sleep problems were significantly associated with increases in chronic conditions (β = .238, 95%CI = .100-.377), poor HRQoL (β = .604, 95%CI = .450-.757), and functional limitations (β = .234, 95%CI = .159-.307). Chronic conditions were positively influenced by poor HRQoL (β = .352, 95%CI = .284-.421) and functional limitations (β = .272, 95%CI = .112-.433). Sleep problems were indirectly related to chronic conditions via poor HRQoL (β = .213, BootSE = .039, 95%CI = .143-.295), functional limitations (β = .063, BootSE = .029, 95%CI = .013-.130) and functional limitations → HRQoL (β = .099, BootSE = .025, 95%CI = .054-.152), mediating 34.70%, 10.31% and 16.15% of the total effect, respectively.ConclusionsSleep problems and poor HRQoL were positively associated with chronic conditions. Functional limitations and poor HRQoL partially and serially explained this association. Efforts to address chronic conditions among single parents should consider interventions for sleep problems and physiological health outcomes, particularly in LMICs.