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 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.

In 2022, there were about 4.15 million Black families in the United States with a single mother. This is an increase from 1990 levels, when there were about 3.4 million Black families with a single mother.

Single parenthood

The typical family is comprised of two parents and at least one child. However, that is not the case in every single situation. A single parent is someone who has a child but no spouse or partner. Single parenthood occurs for different reasons, including divorce, death, abandonment, or single-person adoption. Historically, single parenthood was common due to mortality rates due to war, diseases, and maternal mortality. However, divorce was not as common back then, depending on the culture.

Single parent wellbeing

In countries where social welfare programs are not strong, single parents tend to suffer more financially, emotionally, and mentally. In the United States, most single parents are mothers. The struggles that single parents face are greater than those in two parent households. The number of families with a single mother in the United States has increased since 1990, but the poverty rate of black families with a single mother has significantly decreased since that same year. In comparison, the poverty rate of Asian families with a single mother, and the percentage of white, non-Hispanic families with a single mother who live below the poverty level in the United States have both been fluctuating since 2002.

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.

In 2023, there were about 1.18 million Black families with a single father living in the United States. This is an increase from 1990, when there were 472,000 Black families with a single father in the U.S.

The data on relationship to householder were derived from answers to Question 2 in the 2015 American Community Survey (ACS), which was asked of all people in housing units. The question on relationship is essential for classifying the population information on families and other groups. Information about changes in the composition of the American family, from the number of people living alone to the number of children living with only one parent, is essential for planning and carrying out a number of federal programs.

The responses to this question were used to determine the relationships of all persons to the householder, as well as household type (married couple family, nonfamily, etc.). From responses to this question, we were able to determine numbers of related children, own children, unmarried partner households, and multi-generational households. We calculated average household and family size. When relationship was not reported, it was imputed using the age difference between the householder and the person, sex, and marital status.

Household – A household includes all the people who occupy a housing unit. (People not living in households are classified as living in group quarters.) A housing unit is a house, an apartment, a mobile home, a group of rooms, or a single room that is occupied (or if vacant, is intended for occupancy) as separate living quarters. Separate living quarters are those in which the occupants live separately from any other people in the building and which have direct access from the outside of the building or through a common hall. The occupants may be a single family, one person living alone, two or more families living together, or any other group of related or unrelated people who share living arrangements.

Average Household Size – A measure obtained by dividing the number of people in households by the number of households. In cases where people in households are cross-classified by race or Hispanic origin, people in the household are classified by the race or Hispanic origin of the householder rather than the race or Hispanic origin of each individual.

Average household size is rounded to the nearest hundredth.

Comparability – The relationship categories for the most part can be compared to previous ACS years and to similar data collected in the decennial census, CPS, and SIPP. With the change in 2008 from “In-law” to the two categories of “Parent-in-law” and “Son-in-law or daughter-in-law,” caution should be exercised when comparing data on in-laws from previous years. “In-law” encompassed any type of in-law such as sister-in-law. Combining “Parent-in-law” and “son-in-law or daughter-in-law” does not represent all “in-laws” in 2008.

The same can be said of comparing the three categories of “biological” “step,” and “adopted” child in 2008 to “Child” in previous years. Before 2008, respondents may have considered anyone under 18 as “child” and chosen that category. The ACS includes “foster child” as a category. However, the 2010 Census did not contain this category, and “foster children” were included in the “Other nonrelative” category. Therefore, comparison of “foster child” cannot be made to the 2010 Census. Beginning in 2013, the “spouse” category includes same-sex spouses.

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.

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.

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.

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.

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.

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.

Data SourcesAmerican Community Survey (ACS):Conducted by: U.S. Census BureauDescription: The ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States.Content: The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions.Frequency: The ACS offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households.Purpose: ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.CDC/ATSDR Social Vulnerability Index (SVI):Created by: ATSDR’s Geospatial Research, Analysis & Services Program (GRASP)Utilized by: CDCDescription: The SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events.Content: SVI ranks U.S. Census tracts based on 15 social factors, including unemployment, minority status, and disability, and groups them into four related themes. Each tract receives rankings for each Census variable and for each theme, as well as an overall ranking, indicating its relative vulnerability.Purpose: SVI data provides insights into the social vulnerability of communities at the census tract level, helping public health officials and emergency response planners allocate resources effectively.Utilization and IntegrationBy integrating data from both the ACS and the SVI, this dataset enables an in-depth analysis and understanding of various socio-economic and demographic indicators at the census tract level. This integrated data is valuable for research, policymaking, and community planning purposes, allowing for a comprehensive understanding of social and economic dynamics across different geographical areas in the United States.ApplicationsLocalized Interventions: Facilitates the development of localized interventions to address the needs of vulnerable populations within specific census tracts.Resource Allocation: Assists emergency response planners in allocating resources more effectively based on community vulnerability at the census tract level.Research: Provides a detailed dataset for academic and applied research in socio-economic and demographic studies at a granular census tract level.Community Planning: Supports the planning and development of community programs and initiatives aimed at improving living conditions and reducing vulnerabilities within specific census tract areas.Note: Due to limitations in the data environment, variable names may be truncated. Refer to the provided table for a clear understanding of the variables.CSV Variable NameShapefile Variable NameDescriptionStateNameStateNameName of the stateStateFipsStateFipsState-level FIPS codeState nameStateNameName of the stateCountyNameCountyNameName of the countyCensusFipsCensusFipsCounty-level FIPS codeState abbreviationStateFipsState abbreviationCountyFipsCountyFipsCounty-level FIPS codeCensusFipsCensusFipsCounty-level FIPS codeCounty nameCountyNameName of the countyAREA_SQMIAREA_SQMITract area in square milesE_TOTPOPE_TOTPOPPopulation estimates, 2014-2018 ACSEP_POVEP_POVPercentage of persons below poverty estimateEP_UNEMPEP_UNEMPUnemployment Rate estimateEP_HBURDEP_HBURDHousing cost burdened occupied housing units with annual income less than $75,000EP_UNINSUREP_UNINSURUninsured in the total civilian noninstitutionalized population estimate, 2014-2018 ACSEP_PCIEP_PCIPer capita income estimate, 2014-2018 ACSEP_DISABLEP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2014-2018 ACSEP_SNGPNTEP_SNGPNTPercentage of single parent households with children under 18 estimate, 2014-2018 ACSEP_MINRTYEP_MINRTYPercentage minority (all persons except white, non-Hispanic) estimate, 2014-2018 ACSEP_LIMENGEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2014-2018 ACSEP_MUNITEP_MUNITPercentage of housing in structures with 10 or more units estimateEP_MOBILEEP_MOBILEPercentage of mobile homes estimateEP_CROWDEP_CROWDPercentage of occupied housing units with more people than rooms estimateEP_NOVEHEP_NOVEHPercentage of households with no vehicle available estimateEP_GROUPQEP_GROUPQPercentage of persons in group quarters estimate, 2014-2018 ACSBelow_5_yrBelow_5_yrUnder 5 years: Percentage of Total populationBelow_18_yrBelow_18_yrUnder 18 years: Percentage of Total population18-39_yr18_39_yr18-39 years: Percentage of Total population40-64_yr40_64_yr40-64 years: Percentage of Total populationAbove_65_yrAbove_65_yrAbove 65 years: Percentage of Total populationPop_malePop_malePercentage of total population malePop_femalePop_femalePercentage of total population femaleWhitewhitePercentage population of white aloneBlackblackPercentage population of black or African American aloneAmerican_indianamerican_iPercentage population of American Indian and Alaska native aloneAsianasianPercentage population of Asian aloneHawaiian_pacific_islanderhawaiian_pPercentage population of Native Hawaiian and Other Pacific Islander aloneSome_othersome_otherPercentage population of some other race aloneMedian_tot_householdsmedian_totMedian household income in the past 12 months (in 2019 inflation-adjusted dollars) by household size – total householdsLess_than_high_schoolLess_than_Percentage of Educational attainment for the population less than 9th grades and 9th to 12th grade, no diploma estimateHigh_schoolHigh_schooPercentage of Educational attainment for the population of High school graduate (includes equivalency)Some_collegeSome_collePercentage of Educational attainment for the population of Some college, no degreeAssociates_degreeAssociatesPercentage of Educational attainment for the population of associate degreeBachelor’s_degreeBachelor_sPercentage of Educational attainment for the population of Bachelor’s degreeMaster’s_degreeMaster_s_dPercentage of Educational attainment for the population of Graduate or professional degreecomp_devicescomp_devicPercentage of Household having one or more types of computing devicesInternetInternetPercentage of Household with an Internet subscriptionBroadbandBroadbandPercentage of Household having Broadband of any typeSatelite_internetSatelite_iPercentage of Household having Satellite Internet serviceNo_internetNo_internePercentage of Household having No Internet accessNo_computerNo_computePercentage of Household having No computer

This table contains data on the number of licensed day care center slots (facility capacity) per 1,000 children aged 0-5 years in California, its regions, counties, cities, towns, and census tracts. The table contains 2015 data, and includes type of facility (day care center or infant center). Access to child care has become a critical support for working families. Many working families find high-quality child care unaffordable, and the increasing cost of child care can be crippling for low-income families and single parents. These barriers can impact parental choices of child care. Increased availability of child care facilities can positively impact families by providing more choices of child care in terms of price and quality. Estimates for this indicator are provided for the total population, and are not available by race/ethnicity. More information on the data table and a data dictionary can be found in the Data and Resources section. The licensed day care centers table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf The format of the licensed day care centers table is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.

we utilized data from two main sources: the United States Census Bureau's American Community Survey (ACS) and the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry (CDC/ATSDR) Social Vulnerability Index (SVI). American Community Survey (ACS):

Conducted by the U.S. Census Bureau, the ACS is an ongoing survey that provides detailed demographic and socio-economic data on the population and housing characteristics of the United States. The survey collects information on various topics such as income, education, employment, health insurance coverage, and housing costs and conditions. It offers more frequent and up-to-date information compared to the decennial census, with annual estimates produced based on a rolling sample of households. The ACS data is essential for policymakers, researchers, and communities to make informed decisions and address the evolving needs of the population.

CDC/ATSDR Social Vulnerability Index (SVI):

Created by ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) and utilized by the CDC, the SVI is designed to identify and map communities that are most likely to need support before, during, and after hazardous events. SVI ranks U.S. Census tracts based on 15 social factors, including unemployment, minority status, and disability, and groups them into four related themes Each tract receives rankings for each Census variable and for each theme, as well as an overall ranking, indicating its relative vulnerability. SVI data provides insights into the social vulnerability of communities at both the tract and county levels, helping public health officials and emergency response planners allocate resources effectively.

In our utilization of these sources, we likely integrated data from both the ACS and the SVI to analyze and understand various socio-economic and demographic indicators at the state, county, and possibly tract levels. This integrated data would have been valuable for research, policymaking, and community planning purposes, allowing for a comprehensive understanding of social and economic dynamics across different geographical areas in the United States

Note: Due to limitations in the ArcGIS Pro environment, the data variable names may be truncated. Refer to the provided table for a clear understanding of the variables.CSV Variable NameShapefile Variable NameDescriptionStateNameStateNameName of the stateStateFipsStateFipsState-level FIPS codeState nameStateNameName of the stateCountyNameCountyNameName of the countyCensusFipsCensusFipsCounty-level FIPS codeState abbreviationStateFipsState abbreviationCountyFipsCountyFipsCounty-level FIPS codeCensusFipsCensusFipsCounty-level FIPS codeCounty nameCountyNameName of the countyAREA_SQMIAREA_SQMITract area in square milesE_TOTPOPE_TOTPOPPopulation estimates, 2015-2019 ACSEP_POVEP_POVPercentage of persons below poverty estimateEP_UNEMPEP_UNEMPUnemployment Rate estimateEP_HBURDEP_HBURDHousing cost burdened occupied housing units with annual income less than $75,000EP_UNINSUREP_UNINSURUninsured in the total civilian noninstitutionalized population estimate, 2015-2019 ACSEP_PCIEP_PCIPer capita income estimate, 2015-2019 ACSEP_DISABLEP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2015-2019 ACSEP_SNGPNTEP_SNGPNTPercentage of single parent households with children under 18 estimate, 2015-2019 ACSEP_MINRTYEP_MINRTYPercentage minority (all persons except white, non-Hispanic) estimate, 2015-2019 ACSEP_LIMENGEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2015-2019 ACSEP_MUNITEP_MUNITPercentage of housing in structures with 10 or more units estimateEP_MOBILEEP_MOBILEPercentage of mobile homes estimateEP_CROWDEP_CROWDPercentage of occupied housing units with more people than rooms estimateEP_NOVEHEP_NOVEHPercentage of households with no vehicle available estimateEP_GROUPQEP_GROUPQPercentage of persons in group quarters estimate, 2014-2018 ACSBelow_5_yrBelow_5_yrUnder 5 years: Percentage of Total populationBelow_18_yrBelow_18_yrUnder 18 years: Percentage of Total population18-39_yr18_39_yr18-39 years: Percentage of Total population40-64_yr40_64_yr40-64 years: Percentage of Total populationAbove_65_yrAbove_65_yrAbove 65 years: Percentage of Total populationPop_malePop_malePercentage of total population malePop_femalePop_femalePercentage of total population femaleWhitewhitePercentage population of white aloneBlackblackPercentage population of black or African American aloneAmerican_indianamerican_iPercentage population of American Indian and Alaska native aloneAsianasianPercentage population of Asian aloneHawaiian_pacific_islanderhawaiian_pPercentage population of Native Hawaiian and Other Pacific Islander aloneSome_othersome_otherPercentage population of some other race aloneMedian_tot_householdsmedian_totMedian household income in the past 12 months (in 2019 inflation-adjusted dollars) by household size – total householdsLess_than_high_schoolLess_than_Percentage of Educational attainment for the population less than 9th grades and 9th to 12th grade, no diploma estimateHigh_schoolHigh_schooPercentage of Educational attainment for the population of High school graduate (includes equivalency)Some_collegeSome_collePercentage of Educational attainment for the population of Some college, no degreeAssociates_degreeAssociatesPercentage of Educational attainment for the population of associate degreeBachelor’s_degreeBachelor_sPercentage of Educational attainment for the population of Bachelor’s degreeMaster’s_degreeMaster_s_dPercentage of Educational attainment for the population of Graduate or professional degreecomp_devicescomp_devicPercentage of Household having one or more types of computing devicesInternetInternetPercentage of Household with an Internet subscriptionBroadbandBroadbandPercentage of Household having Broadband of any typeSatelite_internetSatelite_iPercentage of Household having Satellite Internet serviceNo_internetNo_internePercentage of Household having No Internet accessNo_computerNo_computePercentage of Household having No computer

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

Dataset population: Households

Ethnic group of HRP

Ethnic group classifies people according to their own perceived ethnic group and cultural background.

The concept of a Household Reference Person (HRP) was introduced in the 2001 Census (in common with other government surveys in 2001/2) to replace the traditional concept of the 'head of the household'. HRPs provide an individual person within a household to act as a reference point for producing further derived statistics and for characterising a whole household according to characteristics of the chosen reference person.

Household composition

Household composition classifies households according to the relationships between the household members. Households consisting of one family and no other usual residents are classified according to the type of family (married, same-sex civil partnership or cohabiting couple family, or lone parent family) and the number of dependent children. Other households are classified by the number of people, the number of dependent children, or whether the household consists only of students or only of people aged 65 and over.

The National Survey of Children's Exposure to Violence (NatSCEV) series involved three rounds of data collection, this study NatSCEV I (baseline), NatSCEV II, and NatSCEV III. For more information on other parts to the series, please use the following links: NatSCEV II (ICPSR 36177) - http://doi.org/10.3886/ICPSR36177.v1 NatSCEV III (ICPSR 36523) - http://doi.org/10.3886/ICPSR36523.v1 The National Survey of Children's Exposure to Violence I was designed to obtain lifetime and one-year incidence estimates of a comprehensive range of childhood victimizations across gender, race, and developmental stage. Conducted between January and July, 2008, it assessed the experiences of a nationally representative sample of 4,549 children aged 1 month to 17 years living in the contiguous United States (excluding New Hampshire). The primary sample of households was selected from a nationwide sampling frame of residential telephone numbers by random digit dialing (RDD). A second sample was drawn by over-sampling United States telephone exchanges that had a population of 70 percent or more of African American, Hispanic, or low-income households. A short interview was conducted with an adult caregiver (usually a parent) to obtain family demographic information. One child was randomly selected from all eligible children in a household by selecting the child with the most recent birthday. The survey used an enhanced version of the Juvenile Victimization Questionnaire (JVQ), an inventory of childhood victimization. This version of the JVQ obtains reports on 48 forms of offenses against youth that cover five general areas of concern including: conventional crime, child maltreatment, peer and sibling victimization, sexual assault, and witnessing and indirect victimization. Follow-up questions for each victimization item gathered additional information about the victimization incident. The data set has 1,824 variables and 4,549 cases.

In 2023, about 3.52 million Hispanic families with a single mother were living in the United States. This is an increase from 1990, when there were about 1.19 million Hispanic families with a single mother in the U.S.

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.