Around *** million families in the United States had three or more children under 18 living in the household in 2023. In that same year, about ***** million households had no children under 18 living in the household.
These family food datasets contain more detailed information than the ‘Family Food’ report and mainly provide statistics from 2001 onwards. The UK household purchases and the UK household expenditure spreadsheets include statistics from 1974 onwards. These spreadsheets are updated annually when a new edition of the ‘Family Food’ report is published.
The ‘purchases’ spreadsheets give the average quantity of food and drink purchased per person per week for each food and drink category. The ‘nutrient intake’ spreadsheets give the average nutrient intake (eg energy, carbohydrates, protein, fat, fibre, minerals and vitamins) from food and drink per person per day. The ‘expenditure’ spreadsheets give the average amount spent in pence per person per week on each type of food and drink. Several different breakdowns are provided in addition to the UK averages including figures by region, income, household composition and characteristics of the household reference person.
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Statistical tool designed to measure, in a quantifiable way, the progress made by FACS each year in achieving the following objectives:
Improving the lives of children and young people
Supporting people with a disability to realise their potential
Breaking disadvantage with social housing assistance
Participation in social and economic life
Reducing domestic and family violence
Working with Aboriginal people and communities
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The marital and family labor force statistics (FM) database from the Current Population Survey reflects data published each year in the news release, Employment Characteristics of Families. At the present time, only data for persons are available in the FM database. Person data include employment status by marital status and presence and age of own children. For example, the FM database includes the labor force participation rate of mothers with children under age 6 (series FMUP1378865).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
IFHEADS01 - Family Units. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Family Units...
We are currently conducting a user consultation on these statistics. If you are interested in offering your views on this publication and future developments, the survey can be found https://www.smartsurvey.co.uk/s/73DHX0/" class="govuk-link">here.
This consultation will run until 17th December 2020.
This report presents the latest statistics on type and volume of cases that are received and processed through the family court system of England and Wales in the second quarter of 2020 (April to June).
The material contained within this publication was formerly contained in Court Statistics Quarterly, a publication combining Civil, Family and Criminal court statistics.
Number of persons in low income, low income rate and average gap ratio by economic family type, annual.
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Philippines Number of Families: National Capital Region (NCR) data was reported at 3,019,000.000 Unit in 2015. This records an increase from the previous number of 2,917,000.000 Unit for 2012. Philippines Number of Families: National Capital Region (NCR) data is updated yearly, averaging 2,240,837.500 Unit from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 3,019,000.000 Unit in 2015 and a record low of 1,435,436.000 Unit in 1988. Philippines Number of Families: National Capital Region (NCR) data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H014: Family Income and Expenditure Survey: No of Families: By Income Class and Main Source of Income.
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Mozambique MZ: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 50.400 % in 2015. This records an increase from the previous number of 31.900 % for 2011. Mozambique MZ: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 46.800 % from Dec 1997 (Median) to 2015, with 5 observations. The data reached an all-time high of 50.400 % in 2015 and a record low of 16.600 % in 1997. Mozambique MZ: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mozambique – Table MZ.World Bank: Health Statistics. Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.; ; Demographic and Health Surveys (DHS).; Weighted Average;
Financial overview and grant giving statistics of Family First
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.
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Georgia GE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data was reported at 52.800 % in 2010. This records an increase from the previous number of 41.800 % for 2005. Georgia GE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data is updated yearly, averaging 41.800 % from Dec 2000 (Median) to 2010, with 3 observations. The data reached an all-time high of 52.800 % in 2010 and a record low of 30.800 % in 2000. Georgia GE: Demand for Family Planning Satisfied by Modern Methods: % of Married Women with Demand for Family Planning data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Health Statistics. Demand for family planning satisfied by modern methods refers to the percentage of married women ages 15-49 years whose need for family planning is satisfied with modern methods.; ; Demographic and Health Surveys (DHS).; Weighted Average;
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Results of the Living Costs and Food Survey (formally the Expenditure and Food Survey), successor to the Family Expenditure Survey (FES) and the National Food Survey (NFS). Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: Family Spending
Financial overview and grant giving statistics of Family of Women
This report presents the latest statistics on type and volume of cases that are received and processed through the family court system of England and Wales in the fourth quarter of 2017, October to December.
The material contained within this publication was formerly contained in Court Statistics Quarterly, a publication combining Civil, Family and Criminal court statistics.
Financial overview and grant giving statistics of Family First Worldwide
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Philippines Number of Families: Region X, Northern Mindanao data was reported at 1,029,000.000 Unit in 2015. This records an increase from the previous number of 976,000.000 Unit for 2012. Philippines Number of Families: Region X, Northern Mindanao data is updated yearly, averaging 736,597.500 Unit from Dec 1988 (Median) to 2015, with 10 observations. The data reached an all-time high of 1,029,000.000 Unit in 2015 and a record low of 528,138.000 Unit in 1997. Philippines Number of Families: Region X, Northern Mindanao data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.H014: Family Income and Expenditure Survey: No of Families: By Income Class and Main Source of Income.
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Dataset contains counts and measures for families and extended families from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 2.
The variables included in this dataset are for families and extended families in households in occupied private dwellings:
Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.
Footnotes
Geographical boundaries
Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.
Caution using time series
Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).
About the 2023 Census dataset
For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.
Data quality
The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.
Concept descriptions and quality ratings
Data quality ratings for 2023 Census variables has additional details about variables found within totals by topic, for example, definitions and data quality.
Using data for good
Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.
Confidentiality
The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.
Measures
Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculations. Averages and medians based on less than six units (e.g. individuals, dwellings, households, families, or extended families) are suppressed. This suppression threshold changes for other quantiles. Where the cells have been suppressed, a placeholder value has been used.
Percentages
To calculate percentages, divide the figure for the category of interest by the figure for 'Total stated' where this applies.
Symbol
-997 Not available
-999 Confidential
Inconsistencies in definitions
Please note that there may be differences in definitions between census classifications and those used for other data collections.
‘Family Food’ is an annual publication which provides detailed statistical information on purchased quantities and expenditure derived from both household and eating out food and drink. Data is collected for a sample of households in the United Kingdom using self-reported diaries of all purchases, including food eaten out, over a two week period. Where possible quantities are recorded in the diaries but otherwise estimated. Current estimates are based on data collected in the ‘Family Food Module of the Living Costs and Food Survey’.
Next update: see the Statistics release calendar
For further information please contact:
Defra statistics: family food
Email mailto:familyfood@defra.gov.uk">familyfood@defra.gov.uk
<p class="govuk-body">You can also contact us via Twitter: <a href="https://x.com/DefraStats" class="govuk-link">https://x.com/DefraStats</a></p>
Defra Helpline: 03459 33 55 77 (Monday to Friday: 8:30am to 5:30pm)
The monthly summary report is intended to provide the user with a quick overview of the status of the PFL program at the state level. This summary report contains monthly information on claims activities, average weekly benefit amounts, average duration of claims, and benefits authorized. This data is used in budgetary and administrative planning, program evaluation, and reports to the Legislature and the public.
Around *** million families in the United States had three or more children under 18 living in the household in 2023. In that same year, about ***** million households had no children under 18 living in the household.