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.

This statistic shows the number of children living with single divorced parents in the United States in 2020, by race. In 2020, 42,000 Asian children lived with their divorced single father.

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.

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. SOURCES CDC/NCHS, National Vital Statistics System, birth data (see http://www.cdc.gov/nchs/births.htm); public-use data files (see http://www.cdc.gov/nchs/data_access/Vitalstatsonline.htm); and CDC WONDER (see http://wonder.cdc.gov/). REFERENCES Curtin SC, Ventura SJ, Martinez GM. Recent declines in nonmarital childbearing in the United States. NCHS data brief, no 162. Hyattsville, MD: National Center for Health Statistics. 2014. Available from: http://www.cdc.gov/nchs/data/databriefs/db162.pdf. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.

This dataset includes live births, birth rates, and fertility rates by race of mother in the United States since 1960.

Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison.

SOURCES

NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/).

REFERENCES

1. National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf.

2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf.

3. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf.

4. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.

5. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf.

6. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

This dataset includes teen birth rates for females by age group, race, and Hispanic origin in the United States since 1960.

Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison.

National data on births by Hispanic origin exclude data for Louisiana, New Hampshire, and Oklahoma in 1989; New Hampshire and Oklahoma in 1990; and New Hampshire in 1991 and 1992. Birth and fertility rates for the Central and South American population includes other and unknown Hispanic. 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).

In 2023, there were about 15.09 million children living with a single mother in the United States, and about 3.05 million children living with a single father. The number of children living with a single mother is down from its peak in 2012, and the number of children living with a single father is down from its peak in 2005.

Marriage and divorce in the United States

Despite popular opinion in the United States that “half of all marriages end in divorce,” the divorce rate in the U.S. has fallen significantly since 1992. The marriage rate, which has also been decreasing since the 1990s, was still higher than the divorce rate in 2021. Half of all marriages may not end in divorce, but it does seem that fewer people are choosing to get married in the first place.

New family structures

In addition to a falling marriage rate, fewer people in the U.S. have children under the age of 18 living in the house in comparison to 1970. Over the past decade, the share of families with children under 18, whether that be married couples or single parents, has stayed mostly steady, although the number of births in the U.S. has also fallen.

In 2023, there were about 6.65 million white, non-Hispanic families with a single mother living in the United States. This is a slight increase from 1990, when there were 6.4 million white families with a single mother living in the U.S.

The percentage of births to unmarried women in the United States has more than doubled since 1980, reaching 40 percent in 2023. This significant shift in family structure reflects changing societal norms and demographic trends over the past four decades. The rise in births outside of marriage has implications for family dynamics, social support systems, and public policy. Age and ethnicity factors in birth rates While the overall percentage of births to unmarried women has stabilized around 40 percent in recent years, birth rates vary significantly across age groups and ethnicities. Unsurprisingly, in 2023, women between 20 and 34 years old had the highest birth rate at 83 births per 1,000 women, while teenagers aged 15 to 19 had the lowest rate at 8 births per 1,000 women. Additionally, Native Hawaiian and Pacific Islander women had the highest fertility rate among all race/ethnicities in 2022, with approximately 2,237.5 births per 1,000 women, compared to the national average of 1,656.5 births per 1,000 women. Changing household structures The increase in births to unmarried women has contributed to evolving household structures in the United States. In 2023, there were approximately 15.18 million families with a single mother, a significant increase from previous decades. This trend aligns with the overall rise in births outside of marriage and suggests a growing need for support systems and policies that address the unique challenges faced by single-parent households.

Basic Demographic Indicators: Proportion of children born to unmarried mothers by nationality (spaniard/foreign national) of the mother. Annual. National.

Analysis of ‘NCHS - Natality Measures for Females by Race and Hispanic Origin: United States’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e96cb229-a501-4633-8635-386ec77fe5a1 on 26 January 2022.

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

This dataset includes live births, birth rates, and fertility rates by race of mother in the United States since 1960.

Data availability varies by race and ethnicity groups. All birth data by race before 1980 are based on race of the child. Since 1980, birth data by race are based on race of the mother. For race, data are available for Black and White births since 1960, and for American Indians/Alaska Native and Asian/Pacific Islander births since 1980. Data on Hispanic origin are available since 1989. Teen birth rates for specific racial and ethnic categories are also available since 1989. From 2003 through 2015, the birth data by race were based on the “bridged” race categories (5). Starting in 2016, the race categories for reporting birth data changed; the new race and Hispanic origin categories are: Non-Hispanic, Single Race White; Non-Hispanic, Single Race Black; Non-Hispanic, Single Race American Indian/Alaska Native; Non-Hispanic, Single Race Asian; and, Non-Hispanic, Single Race Native Hawaiian/Pacific Islander (5,6). Birth data by the prior, “bridged” race (and Hispanic origin) categories are included through 2018 for comparison.

SOURCES

NCHS, National Vital Statistics System, birth data (see https://www.cdc.gov/nchs/births.htm); public-use data files (see https://www.cdc.gov/nchs/data_access/VitalStatsOnline.htm); and CDC WONDER (see http://wonder.cdc.gov/).

REFERENCES

1. National Office of Vital Statistics. Vital Statistics of the United States, 1950, Volume I. 1954. Available from: https://www.cdc.gov/nchs/data/vsus/vsus_1950_1.pdf.

2. Hetzel AM. U.S. vital statistics system: major activities and developments, 1950-95. National Center for Health Statistics. 1997. Available from: https://www.cdc.gov/nchs/data/misc/usvss.pdf.

3. National Center for Health Statistics. Vital Statistics of the United States, 1967, Volume I–Natality. 1969. Available from: https://www.cdc.gov/nchs/data/vsus/nat67_1.pdf.

4. Martin JA, Hamilton BE, Osterman MJK, et al. Births: Final data for 2015. National vital statistics reports; vol 66 no 1. Hyattsville, MD: National Center for Health Statistics. 2017. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr66/nvsr66_01.pdf.

5. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Drake P. Births: Final data for 2016. National Vital Statistics Reports; vol 67 no 1. Hyattsville, MD: National Center for Health Statistics. 2018. Available from: https://www.cdc.gov/nvsr/nvsr67/nvsr67_01.pdf.

6. Martin JA, Hamilton BE, Osterman MJK, Driscoll AK, Births: Final data for 2018. National vital statistics reports; vol 68 no 13. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_13.pdf.

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

This paper examines the association between the Great Recession and real assets among families with young children. Real assets such as homes and cars are key indicators of economic well-being that may be especially valuable to low-income families. Using longitudinal data from the Fragile Families and Child Wellbeing Study (N = 4,898), we investigate the association between the city unemployment rate and home and car ownership and how the relationship varies by family structure (married, cohabiting, and single parents) and by race/ethnicity (White, Black, and Hispanic mothers). Using mother fixed-effects models, we find that a one percentage point increase in the unemployment rate is associated with a -0.5 percentage point decline in the probability of home ownership and a -0.7 percentage point decline in the probability of car ownership. We also find that the recession was associated with lower levels of home ownership for cohabiting families and for Hispanic families, as well as lower car ownership among single mothers and among Black mothers, whereas no change was observed among married families or White households. Considering that homes and cars are the most important assets among middle and low-income households in the U.S., these results suggest that the rise in the unemployment rate during the Great Recession may have increased household asset inequality across family structures and race/ethnicities, limiting economic mobility, and exacerbating the cycle of poverty.

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census, to show various demographic and housing data by state House district in the state of Georgia (including the following categories: population, households, housing characteristics, age, and race/ethnicity), for 2000 and 2010.- - - - - -Base Attributes:DISTRICT = GA House DistrictPOPULATION = District Population (2010 Census)Name = GA House District NameTotal_Population_2011_2015_ACS = Total Population, 2011-2015 American Community Survey (ACS)profile_url = Web address of district profile - - - - - -Attributes from Census Bureau:Family_households = Family households, 2010Pct_Family_households = % Family households, 2010Family_HH_wOwnChild_un18yr = Family households with own children under 18 years, 2010Pct_Family_HH_wOwnChild_un18yr = % Family households with own children under 18 years, 2010Husband_wife_families = Husband-wife families, 2010Pct_Husband_wife_families = % Husband-wife families, 2010Hus_wife_families_wChild = Husband-wife families with children, 2010Pct_hus_wife_families_wChild = % Husband-wife families with children, 2010Single_parent_households = Single parent households, 2010Pct_Single_parent_households = % Single parent households, 2010Nonfamily_households = Nonfamily households, 2010Pct_Nonfamily_households = % Nonfamily households, 2010HH_with_individuals_un18yr = Households with individuals under 18 years, 2010Pct_HH_with_individuals_un18yr = % Households with individuals under 18 years, 2010- - - - - -Total_housing_units = Total housing units, 2010Occupied_housing_units = #, Occupied housing units, 2010Percent_Occupied_housing_units = %, Occupied housing units, 2010Vacant_housing_units = #, Vacant housing units, 2010Percent_Vacant_housing_units = %, Vacant housing units, 2010Owner_occupied_housing_units = #, Owner occupied housing units, 2010Pct_Owner_Occ_HousUnits = %, Owner occupied housing units, 2010Renter_occupied_housing_units = #, Renter occupied housing units, 2010Pct_Renter_Occ_Units = %, Renter occupied housing units, 2010- - - - - -Pop_under_age_19_2010 = Population under age 19, 2010Pop_ages_20_34_2010 = Population ages 20-34, 2010Pop_ages_35_44_2010 = Population ages 35-44, 2010Pop_ages_45_64_2010 = Population ages 45-64, 2010Pop_ages_65_over_2010 = Population ages 65 and over, 2010Pct_Pop_under_age_19_2010 = % Population under age 19, 2010Pct_Pop_ages_20_34_2010 = % Population ages 20-34, 2010Pct_Pop_ages_35_44_2010 = % Population ages 35-44, 2010Pct_Pop_ages_45_64_2010 = % Population ages 45-64, 2010Pct_Pop_ages_65_over_2010 = % Population ages 65 and over, 2010Pop_under_age_19_2000 = Population under age 19, 2000Pop_ages_20_34_2000 = Population ages 20-34, 2000Pop_ages_35_44_2000 = Population ages 35-44, 2000Pop_ages_45_64_2000 = Population ages 45-64, 2000Pop_ages_65_over_2000 = Population ages 65 and over, 2000Pct_Pop_under_age_19_2000 = % Population under age 19, 2000Pct_Pop_ages_20_34_2000 = % Population ages 20-34, 2000Pct_Pop_ages_35_44_2000 = % Population ages 35-44, 2000Pct_Pop_ages_45_64_2000 = % Population ages 45-64, 2000Pct_Pop_ages_65_over_2000 = % Population ages 65 and over, 2000Chg_Pop_Under_19 = Change in Population Under 19 (2000-2010)Chg_Pct_Pop_Under_19 = Change in Percent Population Under 19 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_Pct_pop_ages_20_34 = Change in Percent population ages 20-34 (2000-2010)Chg_pop_ages_35_44 = Change in population ages 35-44 (2000-2010)Chg_Pct_pop_ages_35_44 = Change in Percent population ages 35-44 (2000-2010)Chg_pop_ages_45_64 = Change in population ages 45-64 (2000-2010)Chg_Pct_pop_ages_45_64 = Change in Percent population ages 45-64 (2000-2010)Chg_pop_ages_65_over = Change in population ages 65 and over (2000-2010)Chg_Pct_pop_ages_65_over = Change in Percent population ages 65 and over (2000-2010)- - - - - -Non_Hisp_White_2010 = Non-Hispanic White, 2010Non_Hisp_Black_2010 = Non-Hispanic Black, 2010Non_Hisp_AsianPI_2010 = Non-Hispanic Asian/Pacific Islander, 2010Non_Hisp_Other_Biracial_2010 = Non-Hispanic Other Races (includes biracial), 2010Hisp_All_races_2010 = Hispanic, All races, 2010Pct_Non_Hisp_White_2010 = % Non-Hispanic White, 2010Pct_Non_Hisp_Black_2010 = % Non-Hispanic Black, 2010Pct_Non_Hisp_AsianPI_2010 = % Non-Hispanic Asian/Pacific Islander, 2010Pct_Non_Hisp_Other_Bi_2010 = % Non-Hispanic Other Races (includes biracial), 2010Pct_Hisp_All_races_2010 = % Hispanic, All races, 2010Non_Hisp_White_2000 = Non-Hispanic White, 2000Non_Hisp_Black_2000 = Non-Hispanic Black, 2000Non_Hisp_AsianPI_2000 = Non-Hispanic Asian/Pacific Islander, 2000Non_Hisp_Other_Biracial_2000 = Non-Hispanic Other Races (includes biracial), 2000Hisp_All_races_2000 = Hispanic, All races, 2000Pct_Non_Hisp_White_2000 = % Non-Hispanic White, 2000Pct_Non_Hisp_Black_2000 = % Non-Hispanic Black, 2000Pct_Non_Hisp_AsianPI_2000 = % Non-Hispanic Asian/Pacific Islander, 2000Pct_Non_Hisp_Other_Bi_2000 = % Non-Hispanic Other Races (includes biracial), 2000Pct_Hisp_All_races_2000 = % Hispanic, All races, 2000Chg_Non_Hisp_White = Change in Non-Hispanic White Population (2000-2010)Chg_Non_Hisp_Black = Change in Non-Hispanic Black Population (2000-2010)Chg_Non_Hisp_AsianPI = Change in Non-Hispanic Asian/Pacific Islander Population (2000-2010)Chg_Non_Hisp_Other_Biracial = Change in Non-Hispanic Other (includes biracial) Population (2000-2010)Chg_Hisp_Population = Change in Hispanic Population (2000-2010)Chg_Pct_Non_Hisp_White = Change in Percent Non-Hispanic White (2000-2010)Chg_Pct_Non_Hisp_Black = Change in Percent Non-Hispanic Black (2000-2010)Chg_Pct_Non_Hisp_AsianPI = Change in Percent Non-Hispanic Asian/Pacific Islander (2000-2010)Chg_Pct_Non_Hisp_Other_Biracial = Change in Percent Non-Hispanic Other (includes biracial) (2000-2010)Chg_Pct_Hisp_Population = Change in Percent Hispanic Population (2000-2010)- - - - - -Population_2010 = Population, 2010Population_2000 = Population, 2000Population_Change_2000_2010 = Population Change, 2000-2010Pct_Population_Change_2000_2010 = % Population Change, 2000-2010- - - - - -Source: U.S. Census Bureau, Atlanta Regional CommissionDates: 2000, 2010For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.

This statistic shows the percentage of women who were the primary breadwinner in the household that were single mothers in the United States in 2014, by race. Among black women who were the primary income provider to the household, 75.4 percent were single mothers in 2014.

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

There are over 3.18 million single parent families in the United Kingdom as of 2023, compared with 2.94 million in 2022.

This dataset provides Census 2021 estimates that classify Household Reference Persons in England and Wales by household composition and by ethnic group. The estimates are as at Census Day, 21 March 2021.

Data about household relationships might not always look consistent with legal partnership status. This is because of complexity of living arrangements and the way people interpreted these questions. Take care when using these two variables together. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Household composition

Households according to the relationships between members.

One-family households are classified by:

• the number of dependent children
• family type (married, civil partnership or cohabiting couple family, or lone parent family)

Other households are classified by:

• the number of people
• the number of dependent children
• whether the household consists only of students or only of people aged 66 and over

Ethnic group

The ethnic group that the person completing the census feels they belong to. This could be based on their culture, family background, identity or physical appearance.

Respondents could choose one out of 19 tick-box response categories, including write-in response options.

Abstract (en): This administrative dataset provides descriptive information about the families and children served through the federal Child Care and Development Fund (CCDF). CCDF dollars are provided to states, territories, and tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, or depending on their state's policy, to attend training or receive education. The Personal Responsibility and Work Opportunity Act of 1996 requires states and territories to collect information on all family units receiving assistance through the CCDF and to submit monthly case-level data to the Office of Child Care. States are permitted to report case-level data for the entire population, or a sample of the population, under approved sampling guidelines. The Summary Records file contains monthly state-level summary information including the number of families served. The Family Records file contains family-level data including single parent status of the head of household, monthly co-payment amount, date on which child care assistance began, reasons for care (e.g., employment, training/education, protective services, etc.), income used to determine eligibility, source of income, and the family size on which eligibility is based. The Child Records file contains child-level data including ethnicity, race, gender, and date of birth. The Setting Records file contains information about the type of child care setting, the total amount paid to the provider, and the total number of hours of care received by the child. The Pooling Factor file provides state-level data on the percentage of child care funds that is provided through the CCDF, the federal Head Start region the grantee (state) is in and is monitored by, and the state FIPS code for the grantee. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Standardized missing values.; Checked for undocumented or out-of-range codes.. Datasets:DS0: Study-Level FilesDS1: Summary RecordsDS2: Family RecordsDS3: Child RecordsDS4: Setting RecordsDS5: Pooling FactorDS6: Adjusted Child Records File (Online Analysis Only)DS7: Unadjusted Child Records File (Online Analysis Only)DS8: Adjusted Family Records File (Online Analysis Only)DS9: Unadjusted Family Records File (Online Analysis Only) Children and families receiving assistance through the Child Care and Development Fund (CCDF), through their state, territory, or tribe. This sample dataset consists of monthly data provided by states that reported sample data and states that reported full population data, as well as any territory data received. Sampling of the data from states reporting full population data was done in accordance with Technical Bulletin #5, Appendix II: Annual Sampling Plan, Example A The month with the lowest caseload was selected for determining the sampling rate so that at least 200 samples were selected for each month. Additional information on the development of this sample dataset is provided in the accompanying technical documentation.

This graph presents the percentage of single-parent families with children under 18 years of age in France from 1990 to 2020. It appears that the share of single-parents families went from 12.4 percent in 1990 to 24.7 percent in 2020.

About 71.1 percent of children under 18 years old of Asian ethnicity had at least one parent who had a Bachelor's degree or higher in the United States in 2021. In the same year, 28.7 percent of White students under the age of 18 had a parent with a Bachelor's degree.