This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

Dataset population: Households

Household composition (alternative classification)

This derived variable describes households in an alternative way to the classification used in most of the standard tables (see Household composition).

It defines households by the age of the people in them. It does not take into account the relationships between people in households. For the purposes of this classification, an 'adult' is defined as any person aged 16 or over and a 'child' is defined as any person aged under 16.

This dataset provides Census 2022 estimates for Household composition (alternative definitions) in the unit of Households in Scotland.

Household composition (alternative)

Household composition classifies households according to the relationships between the household members. (This variable uses an alternative classification to the main household composition variable, HH_COMP_CAT_H)

Details of classification can be found here

The quality assurance report can be found here

Dataset population: Persons in households

Household composition (alternative classification)

This derived variable describes households in an alternative way to the classification used in most of the standard tables (see Household composition).

It defines households by the age of the people in them. It does not take into account the relationships between people in households. For the purposes of this classification, an 'adult' is defined as any person aged 16 or over and a 'child' is defined as any person aged under 16.

This dataset provides Census 2021 estimates that classify households in England and Wales by household composition and by number of people in household with a disability. 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

Number of disabled people in household

The number of people in a household who assessed their day-to-day activities as limited by long-term physical or mental health conditions or illnesses and are considered disabled. This definition of a disabled person meets the harmonised standard for measuring disability and is in line with the Equality Act (2010).

Abstract

The purpose of the SEPHER data set is to allow for testing, assessing and generating new analysis and metrics that can address inequalities and climate injustice. The data set was created by Tedesco, M., C. Hultquist, S. E. Char, C. Constantinides, T. Galjanic, and A. D. Sinha.

Methodology

SEPHER draws upon four major source datasets: CDC Social Vulnerability Index, FEMA National Risk Index, Home Mortgage Disclosure Act, and Evictions datasets. The data from these source datasets have been merged, cleaned, and standardized and all of the variables documented in the data dictionary.

CDC Social Vulnerability Index

CDC Social Vulnerability Index (SVI) dataset is a dataset prepared for the Centers for Disease Control and Prevention for the purpose of assessing the degree of social vulnerability of American communities to natural hazards and anthropogenic events. It contains data on 15 social factors taken or derived from Census reports as well as rankings of each tract based on these individual factors, groups of factors corresponding to four related themes (Socioeconomic, Household Composition & Disability, Minority Status & Language, and Housing Type & Transportation) and overall. The data is available for the years 2000, 2010, 2014, 2016, and 2018.

FEMA National Risk Index

The National Risk Index (NRI) dataset compiled by the Federal Emergency Management Agency (FEMA) consists of historic natural disaster data from across the United States at a tract-level. The dataset includes information about 18 natural disasters including earthquakes, tsunamis, wildfires, volcanic activity and many others. Each disaster is detailed out in terms of its frequency, historic impact, potential exposure, expected annual loss and associated risk. The dataset also includes some summary variables for each tract including the total expected loss in terms of building loss, human loss and agricultural loss, the population of the tract, and the area covered by the tract. It finally includes a few more features to characterize the population such as social vulnerability rating and community resilience.

Home Mortgage Disclosure Act

The Home Mortgage Disclosure Act (HMDA) dataset contains loan-level data for home mortgages including information on applications, denials, approvals, and institution purchases. It is managed and expanded annually by the Consumer Financial Protection Bureau based on the data collected from financial institutions. The dataset is used by public officials to make decisions and policies, uncover lending patterns and discrimination among mortgage applicants, and investigate if lenders are serving the housing needs of the communities. It covers the period from 2007 to 2017.

Evictions

The Evictions dataset is compiled and managed by the Eviction Lab at Princeton University and consists of court records related to eviction cases in the United States between 2000 and 2016. Its purpose is to estimate the prevalence of court-ordered evictions and compare eviction rates among states, counties, cities, and neighborhoods. Besides information on eviction filings and judgments, the dataset includes socioeconomic and real estate data for each tract including race/ethnic origin, household income, poverty rate, property value, median gross rent, rent burden, and others.

Means and standard deviations for household size and composition (Study 1).

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

Dataset population: Persons in households

Adult lifestage

Adults aged between 16 and 54 are classified by age, by the presence of dependent children in the household, and (in some instances) by the age of the youngest dependent child.

Adults aged 55 and over are classified by age, whether they are in one or two-person households, and (in some instances) by the presence of dependent children.

Adult lifestage uses the alternative definition of an adult (anyone aged 16 and over). This definition is different from the standard definition for adults, children and dependent children used in most census results.

Age

Age is derived from the date of birth question and is a person's age at their last birthday, at 27 March 2011. Dates of birth that imply an age over 115 are treated as invalid and the person's age is imputed. Infants less than one year old are classified as 0 years of age.

Household type

Household type classifies households in an alternative way to the household composition classification that is used in most standard census results.

A household is classified by the type of family present, but households with more than one family are categorised in the priority order:

• Married couple family
• Same-sex civil partnership couple family
• Cohabiting couple family
• Lone parent family

Within a family type, a family with dependent children takes priority.

This means that in tables that use this classification the alternative definitions of married couple household, same-sex civil partnership couple household, cohabiting couple household and lone parent household are applicable.

Sex

The classification of a person as either male or female.

Relative concentration of the estimated number of people in the Southern California region that live in a household defined as "low income." There are multiple ways to define low income. These data apply the most common standard: low income population consists of all members of households that collectively have income less than twice the federal poverty threshold that applies to their household type. Household type refers to the household's resident composition: the number of independent adults plus dependents that can be of any age, from children to elderly. For example, a household with four people '€“ one working adult parent and three dependent children '€“ has a different poverty threshold than a household comprised of four unrelated independent adults. Due to high estimate uncertainty for many block group estimates of the number of people living in low income households, some records cannot be reliably assigned a class and class code comparable to those assigned to race/ethnicity data from the decennial Census. "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit to the proportion of all people that live within the 13,312 block groups in the Southern California RRK region. See the "Data Units" description below for how these relative concentrations are broken into categories in this "low income" metric.

Relative concentration of the estimated number of people in the Sierra Nevada region that live in a household defined as "low income." There are multiple ways to define low income. These data apply the most common standard: low income population consists of all members of households that collectively have income less than twice the federal poverty threshold that applies to their household type. Household type refers to the household's resident composition: the number of independent adults plus dependents that can be of any age, from children to elderly. For example, a household with four people '€“ one working adult parent and three dependent children '€“ has a different poverty threshold than a household comprised of four unrelated independent adults. Due to high estimate uncertainty for many block group estimates of the number of people living in low income households, some records cannot be reliably assigned a class and class code comparable to those assigned to race/ethnicity data from the decennial Census. "Relative concentration" is a measure that compares the proportion of population within each Census block group data unit to the proportion of all people that live within the 775 block groups in the Sierra Nevada RRK region. See the "Data Units" description below for how these relative concentrations are broken into categories in this "low income" metric.

About the dataset This dataset uses information from the DWP benefit system to provide estimates of children living in poverty for wards in London. In order to be counted in this dataset, a family must have claimed Child Benefit and at least one other household benefit (Universal Credit, tax credits or Housing Benefit) during the year. The numbers are calibrated to the Households Below Average Income (HBAI) dataset used to provide the government's headline poverty statistics. The definition of relative low income is living in a household with equivalised* income before housing costs (BHC) below 60% of contemporary national median income. The income measure includes contributions from earnings, state support and pensions. Further detail on the estimates of dependent children living in relative low income, including alternative geographical breakdowns and additional variables, such as age of children, family type and work status are available from DWP's statistical tabulation tool Stat-Xplore. Minor adjustments to the data have been applied to guard against the identification of individual claimants. This dataset replaced the DWP children in out-of-work benefit households and HMRC children in low income families local measure releases. This dataset includes estimates for all wards in London of numbers of dependent children living in relative low income families for each financial year from 2014/15 to the latest available (2022/23). The figures for the latest year are provisional and are subject to minor revision when the next dataset is released by DWP. Headlines Number of children The number of dependent children living in relative low income across London, rose from below 310,000 in the financial year ending 2015 to over 420,000 in the financial year ending 2020, but has decreased since then to below 350,000, which is well below the number for financial year ending 2018. While many wards in London have followed a similar pattern, the numbers of children in low income families in some wards have fallen more sharply, while the numbers in other wards have continued to grow. Proportion of children in each London ward Ward population sizes vary across London, the age profile of that population also varies and both the size and make-up of the population can change over time, so in order to make more meaningful comparisons between wards or over time, DWP have also published rates, though see note below regarding caution when using these figures. A dependent child is anyone aged under 16; or aged 16 to 19 in full-time non-advanced education or in unwaged government training. Ward level estimates for the total number of dependent children are not available, so percentages cannot be derived. Ward level estimates for the percentage of children under 16 living in low income families are usually published by DWP but, in its latest release, ward-level population estimates were not available at the time, so no rates were published. To derive the rates in this dataset, the GLA has used the ONS's latest ward-level population estimates (official statistics in development). Percentages for 2021/22 are calculated using the 2021 mid year estimates, while percentages for 2022/23 are calculated using the 2022 mid year estimates. As these are official statistics in development, rates therefore need to be treated with some caution. Notes *equivalised income is adjusted for household size and composition in order to compare living standards between households of different types.

Definitions of measures used in the analysis.

Table shows the percentage of households that are defined as overcrowded - defined by the 'bedroom standard'. 'Overcrowded includes Basic Overcrowded and Severely Overcrowded. This includes households with at least 1 bedroom too few. 'Bedroom standard' is used as an indicator of occupation density. A standard number of bedrooms is allocated to each household in accordance with its age/sex/marital status composition and the relationship of the members to one another. A separate bedroom is allocated to each married or cohabiting couple, any other person aged 21 or over, each pair of adolescents aged 10 - 20 of the same sex, and each pair of children under 10. Any unpaired person aged 10 - 20 is paired, if possible with a child under 10 of the same sex, or, if that is not possible, he or she is given a separate bedroom, as is any unpaired child under 10. This standard is then compared with the actual number of bedrooms (including bed-sitters) available for the sole use of the household, and differences are tabulated. Bedrooms converted to other uses are not counted as available unless they have been denoted as bedrooms by the informants; bedrooms not actually in use are counted unless uninhabitable. Please note, unfortunately the Department for Communities and Local Government, who sponsored a question relating to the number of bedrooms in a household no longer take part in the Integrated Household Survey, and therefore the question will not be included again. This means that annual overcrowding data at borough level will not be available in the future.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. For a deep dive into the data model including every specific metric, see the ACS 2017-2021 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e21Estimate from 2017-21 ACS_m21Margin of Error from 2017-21 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_21Change, 2010-21 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLine (buffer)BeltLine Study (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Planning Unit STV (3 NPUs merged to a single geographic unit within City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)City of Atlanta Neighborhood Statistical Areas E02E06 (2 NSAs merged to single geographic unit within City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)SPARCC = Strong, Prosperous And Resilient Communities ChallengeState of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)WFF = Westside Future Fund (subarea of City of Atlanta)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2017-2021). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2017-2021Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://garc.maps.arcgis.com/sharing/rest/content/items/34b9adfdcc294788ba9c70bf433bd4c1/data

Dataset population: Households

Household type

Household type classifies households in an alternative way to the household composition classification that is used in most standard census results.

A household is classified by the type of family present, but households with more than one family are categorised in the priority order:

• Married couple family
• Same-sex civil partnership couple family
• Cohabiting couple family
• Lone parent family

Within a family type, a family with dependent children takes priority.

This means that in tables that use this classification the alternative definitions of married couple household, same-sex civil partnership couple household, cohabiting couple household and lone parent household are applicable.

Number of persons per bedroom

The number of persons per bedroom is equal to the number of usual residents in a household divided by the number of bedrooms in that household's accommodation.

A bedroom is defined as any room that was intended to be used as a bedroom when the property was built, or any room that has been permanently converted for use as a bedroom. It also includes all rooms intended for use as a bedroom even if not being used as a bedroom at the time of the census.

Tenure

Tenure provides information about whether a household rents or owns the accommodation that it occupies and, if rented, combines this with information about the type of landlord who owns or manages the accommodation.

Dataset population: Households

Age of youngest dependent child

Age is derived from the date of birth question and is a person's age at their last birthday, at 27 March 2011. Dates of birth that imply an age over 115 are treated as invalid and the person's age is imputed. Infants less than one year old are classified as 0 years of age.

A dependent child is any person aged 0 to 15 in a household (whether or not in a family) or a person aged 16 to 18 in full-time education and living in a family with his or her parent(s) or grandparent(s). It does not include any people aged 16 to 18 who have a spouse, partner or child living in the household.

Household type

Household type classifies households in an alternative way to the household composition classification that is used in most standard census results.

A household is classified by the type of family present, but households with more than one family are categorised in the priority order:

• Married couple family
• Same-sex civil partnership couple family
• Cohabiting couple family
• Lone parent family

Within a family type, a family with dependent children takes priority.

This means that in tables that use this classification the alternative definitions of married couple household, same-sex civil partnership couple household, cohabiting couple household and lone parent household are applicable.

The study is a panel survey of adolescents designed to study the complex causal mechanism of structural, social, and cultural integration of adolescents with migration background. The data of three waves are currently available.

The data set of the first wave includes surveys of students and parents. It enables studying processes of intergenerational transmission and integration. The survey covers topics of (1) cognitive-cultural integration), (2) structural integration, (3) social integration, (4) emotional-cultural integration, and (5) health and wellbeing. In addition there is (6) detailed information about migration experience and demographics.

Furthermore, the cognitive-cultural integration on the basis of (1) language proficiency tests (measuring linguistic skills) and (2) a cognitive skills test (measurement of intelligence) was measured.

In addition, two aspects of social integration were measured: (1) social integration outside the class context by means of egocentric networks and (2) social integration within the class context by means of a sociometric questionnaire.

The data set of the second wave includes re-interviews with students from the first wave. In addition, in the Netherlands students were interviewed who were not part of the first sample (newcomers). These students were integrated in the school classes between the survey waves. The main questionnaire and the social integration within the class context (sociometric questionnaire) were measured repeatedly.

The data set of the third wave includes re-interviews with students from the first wave or the second wave. Additionally, 10 students are included who were part of the class list of the first wave, and therefore form part of the first wave’s target population, but were absent at the days of the school surveys in wave 1 and wave 2.

The main questionnaire was measured repeatedly.

In addition, two aspects of social integration were measured: (1) social integration outside the class context by means of egocentric networks and (2) social integration within the class context by means of a sociometric questionnaire (only in NL).

The survey instrument includes country-specific variations. The questionnaire also varies between various modules. For more information, see the study documentation.

Cognitive-cultural integration: language (objective measures of proficiency in the host country’s language, self-assessed knowledge of L1, self-assessed knowledge of L2, language use, language spoken at home); measurement of cognitive skills; leisure time activities (memberships, leisure time activities); number of books at home.

Structural Integration: School performance (self-assessment, grades, setting system, school type, repeating classes, private lessons); attitudes towards school (favourite subjects, educational aspirations, self-efficacy, anti-school norms, efforts in school, value of education, status maintenance motive, teacher support, satisfaction with school, success probabilities, perceived association between educational and occupational success, expected discrimination, financial restrictions, educational costs); economic situation (side job, pocket money, possessions, expected development of own economic situation); deviant behaviour and delinquency (school-related problem behaviour, delinquent behaviour).

Social Integration: Sociometric information within classrooms; strong ties (ethnic background of friends); contact person in case of problems; person one is having trouble with; weak ties (in school, neighbourhood, clubs/associations); discrimination (victimisation in school, perceived discrimination); attitudes towards other ethnic groups; romantic relationships (characteristics of partner and relationship, expectations about the future of the relationship), family relations (parental support, parent-child contact, family cohesion, parental expectations, family conflict, embeddedness/influence of parents).

Emotional-cultural Integration: Identity (with respect to host, respectively sending country, importance of ethnic identity); attitudes towards integration; religion (religious affiliation, importance of religion, religious practices); attitudes and norms (gender roles, violence legitimizing norms of masculinity, tolerance).

Health and well-being: Personality and psychological well-being (life satisfaction, self-esteem, behavioural problems, self-control); health (general health status, health problems, sleeping behaviour, weight, height, health related behaviour, future expectations about health).

Demography and migration history: Gender; age; living situation and household composition (household members, household situation, neighbourhood); social background (parents´ education, parents´ employment status, parents´ occupation), migration history (child´s, parents´, and grandparents´ country of birth, age of migration, home-country visits, return migration).

This dataset provides Census 2021 estimates that classify households in England and Wales by occupancy rating (rooms) and by tenure. The estimates are as at Census Day, 21 March 2021.

It is inappropriate to measure change in number of rooms from 2011 to 2021, as Census 2021 used Valuation Office Agency data for this variable. Instead use Census 2021 estimates for number of bedrooms for comparisons over time. Read more about this quality notice.

There is evidence of people incorrectly identifying their type of landlord as ”Council or local authority” or “Housing association”. You should add these two categories together when analysing data that uses this variable. 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

Occupancy rating for rooms

Whether a household's accommodation is overcrowded, ideally occupied or under-occupied. This is calculated by comparing the number of rooms the household requires to the number of available rooms.

The number of rooms the household requires uses a formula which states that:

• one-person households require three rooms comprised of two common rooms and one bedroom

• two-or-more person households require a minimum of two common rooms and a bedroom for each of the following:

  1. married or cohabiting couple
  2. single parent
  3. person aged 16 years and over
  4. pair of same-sex persons aged 10 to 15 years
  5. person aged 10 to 15 years paired with a person under 10 years of the same sex
  6. pair of children aged 10 years, regardless of their sex
  7. person aged under 16 years who cannot share a bedroom with someone in 4, 5 or 6 above

An occupancy rating of:

• -1 or less implies that a household’s accommodation has fewer rooms than required (overcrowded)
• +1 or more implies that a household’s accommodation has more rooms than required (under-occupied)
• 0 suggests that a household’s accommodation has an ideal number of rooms

The number of rooms is taken from Valuation Office Agency (VOA) administrative data for the first time in 2021. The number of rooms is recorded at the address level, whilst the 2011 Census recorded the number of rooms at the household level. This means that for households that live in a shared dwelling, the available number of rooms are counted for the whole dwelling in VOA, and not each individual household.

VOA’s definition of a room does not include bathrooms, toilets, halls or landings, kitchens, conservatories or utility rooms. All other rooms, for example, living rooms, studies, bedrooms, separate dining rooms and rooms that can only be used for storage are included. Please note that the 2011 Census question included kitchens, conservatories and utility rooms while excluding rooms that can only be used for storage. To adjust for the definitional difference, the number of rooms required is deducted from the actual number of rooms it has available, and then 1 is added.

Tenure of household

Whether a household owns or rents the accommodation that it occupies.

Owner-occupied accommodation can be:

• owned outright, which is where the household owns all of the accommodation
• with a mortgage or loan
• part-owned on a shared ownership scheme

Rented accommodation can be:

• private rented, for example, rented through a private landlord or letting agent
• social rented through a local council or housing association

This information is not available for household spaces with no usual residents.

Vacation and travel habits of the West German population in 1971 as well as vacation plans for the next season. Topics: Main focus areas of this survey were: vacation accomodations, use of travel agency, travel agency image and short vacation trips; travel frequency and regularity of vacation trips; destinations at home and abroad; reasons for choice of vacation area; preferred form of countryside; travel motives and vacation expectations; trip form and vacation form; travel information; time of trip decision and type of trip preparation; sources of information in trip planning; trip organization; trip advice and use of travel agency; trip expenditures; time of trip and trip length; means of transport used for the vacation trip; distance to place of vacation; satisfaction with trip accomodations; psychological demands of a vacation; particular acquisitions for the vacation trip; travel companion; financing the trip and exceeding trip budget; means of payment taken along; meal habits on vacation; actual activities and desired leisure activities at place of vacation; means of transport used for trips in the vicinity of place of vacation; vacation satisfaction; detailed information on short and second as well as third vacation trips; travel intents and destination for a vacation in the coming year; means of transport probably used and organization form; right to vacation; car possession. The following questions were posed to those not traveling: satisfaction with vacation at home; future vacation plans or obstacles; year and vacation form of last trip. Demography: age; sex; family composition; religious denomination; school education; occupation; employment; household income; size of household; composition of household; head of household; city size; state. Also encoded was: district code. Urlaubs- und Reiseverhalten der westdeutschen Bevölkerung im Jahre 1971 sowie Urlaubspläne für die nächste Saison. Themen: Schwerpunkte dieser Befragung waren: Urlaubsunterkunft, Reisebüronutzung, Reisebüroimage und Kurzurlaubsreisen. Reisehäufigkeit und Regelmäßigkeit von Urlaubsreisen; Reiseziele im In- und Ausland; Gründe für die Wahl des Urlaubsgebietes; bevorzugte Landschaftsformen; Reisemotive und Urlaubserwartungen; Reiseform und Urlaubsform; Reiseinformation; Zeitpunkt der Reiseentscheidung und Art der Reisevorbereitung; Informationsquellen bei der Reiseplanung; Reiseorganisation; Reiseberatung und Reisebüronutzung; Reiseausgaben; Reisezeitpunkt und Reisedauer; benutztes Verkehrsmittel für die Urlaubsreise; Entfernung zum Urlaubsort; Zufriedenheit mit der Reiseunterkunft; psychologische Ansprüche an einen Urlaub; besondere Anschaffungen für die Urlaubsreise; Reisebegleitung; Finanzierung der Reise und Reisebudgetüberschreitungen; mitgenommene Zahlungsmittel; Verpflegungsgewohnheiten im Urlaub; tatsächliche Aktivitäten und gewünschte Freizeitaktivitäten am Urlaubsort; benutztes Verkehrsmittel für Fahrten in die Umgebung des Urlaubsortes; Urlaubszufriedenheit; detaillierte Angaben zu Kurz- und Zweit- sowie Dritturlaubsreisen; Reiseabsichten und Reiseziel für einen Urlaub im kommenden Jahr; voraussichtlich benutztes Verkehrsmittel und Organisationsform; Urlaubsanspruch; PKW-Besitz. Bei Nichtreisenden wurde gefragt: Zufriedenheit mit dem Urlaub zu Hause; zukünftige Urlaubspläne bzw. Hinderungsgründe; Jahr und Urlaubsform der letzten Reise. Demographie: Alter; Geschlecht; Familienzusammensetzung; Konfession; Schulbildung; Beruf; Berufstätigkeit; Haushaltseinkommen; Haushaltsgröße; Haushaltszusammensetzung; Haushaltungsvorstand; Ortsgröße; Bundesland. Zusätzlich verkodet wurde: Kreiskennziffer.