The aim of this publication is to provide information about the key differences in healthcare between people with a learning disability and those without. It contains aggregated data on key health issues for people who are recorded by their GP as having a learning disability, and comparative data about a control group who are not recorded by their GP as having a learning disability. Six new indicators were introduced in the 2022-23 reporting year for patients with and without a recorded learning disability. These relate to: • Patients with an eating disorder • Patients with both an eating disorder and autism diagnosis • Patients with a diagnosis of autism who are currently treated with antidepressants More information on these changes can be found in the Data Quality section of this publication. Data has been collected from participating practices using EMIS and Cegedim Healthcare Systems GP systems.

Full-time equivalent enrolments of students with a disability who are members of specific populations, collected from 2013 as part of the annual enrolment data collection in Term 3. Students with a disability are those students who are verified by a Department for Education psychologist or speech pathologist as eligible for the Department for Education Disability Support Program. Specific populations students are: Aboriginal and/or Torres Strait Islanders – Students who are of Aboriginal and/or Torres Strait Islander origin and who identify as Aboriginal and/or Torres Strait Islander. Non-English Speaking Background (NESB) – Students who are from a non-English speaking background, including students born overseas with at least one parent/guardian being from a non-English speaking background. This excludes temporary residents and students speaking Aboriginal or Torres Strait Islander Languages.

Dataset population: Persons in households

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.

General health

General health is a self-assessment of a person's general state of health. People were asked to assess whether their health was very good, good, fair, bad or very bad.

For England and Wales, this assessment is not based on a person's health over any specified period of time.

For Northern Ireland, 'General health' refers to a person's health over the 12 months prior to Census day (27 March 2011).

Long-term health problem or disability

A long-term health problem or disability that limits a person's day-to-day activities and has lasted or is expected to last at least 12 months. This includes problems that are related to old age.

People were asked to assess whether their daily activities were limited a lot or a little by such a health problem, or whether their daily activities were not limited at all.

Sex

The classification of a person as either male or female.

Abstract copyright UK Data Service and data collection copyright owner. The main purpose of the research was to establish the prevalence rates of disability within the Northern Ireland household population. That is, the study aimed to provide us with estimates of the numbers of people with different types of disability. The definition of disability for the purposes of the NISALD was based on the concepts of the International Classification of Functioning, Disability and Health (ICF) which was developed and endorsed by the World Health Organisation. The NISALD series of questionnaires included an initial set of questions that established the type, nature and severity of disabilities. The survey instrument also included questions dedicated to collecting information on the socio-economic characteristics of the respondents and their perceptions of the environment in which they live. Fieldwork for adults and children living in private households was carried out throughout 2006 and was completed in early 2007. Results are planned to be released via a series of bulletins. The first bulletin containing top-line results from NISALD was published on 5 July 2007. Results showed that, in 2006/07, 18% of all people living in private households in Northern Ireland have some degree of disability. The prevalence rate for adults is 21% and 6% for children. If researchers or other interested parties require more in-depth analysis to be carried out requiring the use of string variables such as ‘cause of limitation’, which are not included in the UK Data Archive version, they should contact NISRA to discuss their needs. NISRA may be able to complete analysis on their behalf, thus ensuring any sensitive data remains protected. Main Topics: Disability; Activity limitation; Impairment; Health; Disabled; ICF Simple random sample Face-to-face interview Telephone interview 2006 2007 ACCESS TO PUBLIC SE... ACCIDENTS ADULTS AGE AIDS FOR THE DISABLED AIDS FOR THE HEARIN... AIDS FOR THE SPEECH... AIDS FOR THE VISUAL... BEHAVIOURAL DISORDERS BEHAVIOURAL PROBLEMS BULLYING CARE IN THE COMMUNITY CARE OF DEPENDANTS CARE OF THE DISABLED CARERS BENEFITS CHILD BEHAVIOUR CHILD BENEFITS CHILD CARE CHILDREN CHRONIC ILLNESS COGNITION DISORDERS COGNITIVE PROCESSES COMMUNICATION DISAB... COMMUNICATION PROCESS CONGENITAL DISORDERS CONTACT LENSES DISABILITIES DISABLED CHILDREN DISABLED FACILITIES DISABLED PERSONS DISMISSAL DOMESTIC EQUIPMENT ... DOMESTIC RESPONSIBI... ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL INSTITU... EMPLOYERS EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ENGLISH LANGUAGE EVERYDAY LIFE Education FAMILIES FAMILY LIFE FEAR OF CRIME FINANCIAL COMPENSATION FINANCIAL INCENTIVES FINANCIAL RESOURCES FINANCIAL SUPPORT GENDER GRANTS General health and ... HATE CRIME HEALTH HEALTH PROFESSIONALS HEALTH SERVICES HEARING AIDS HEARING IMPAIRED PE... HEARING IMPAIRMENTS HOLIDAYS HOSPITAL SERVICES HOSPITALIZATION HOUSEHOLD INCOME HOUSEHOLDERS HOUSEHOLDS HOUSING HOUSING FACILITIES HOUSING TENURE Health INCOME INDUSTRIES INFANTS INTELLECTUAL IMPAIR... INTERPERSONAL COMMU... INTERPERSONAL RELAT... JOB CHARACTERISTICS LANGUAGE DISCRIMINA... LEARNING DISABILITIES LEISURE TIME ACTIVI... LIFE STYLES LIVING CONDITIONS LOCAL COMMUNITY FAC... Labour and employment MARITAL STATUS MEDICAL EQUIPMENT A... MEMORY DISORDERS MENTAL DISORDERS MENTALLY DISABLED P... MOBILITY AIDS MOTOR PROCESSES NEIGHBOURHOODS NON VERBAL COMMUNIC... Northern Ireland OWNERSHIP AND TENURE PAIN PAIN CONTROL PAYMENTS PERSONAL HYGIENE PHYSICAL ACTIVITIES PHYSICAL DISABILITIES PHYSICAL MOBILITY PHYSICALLY DISABLED... PLACE OF BIRTH PROPERTY PUBLIC TRANSPORT QUALIFICATIONS QUALITY OF LIFE READING ACTIVITY RELIGIOUS AFFILIATION RESIDENTIAL CARE OF... RESIDENTIAL CHILD CARE RESIDENTIAL MOBILITY RESPIRATORY TRACT D... RESPITE CARE SCHOOLS FOR THE DIS... SICKNESS AND DISABI... SIGHT SOCIAL ACTIVITIES L... SOCIAL PARTICIPATION SOCIAL SERVICES SOCIAL SUPPORT SPECIAL EDUCATION SPECTACLES SPEECH IMPAIRED PER... SPORT SPOUSE S EMPLOYMENT SPOUSES STANDARD OF LIVING SURGICAL AIDS Social welfare poli... Specific diseases TRAINING COURSES TRANSPORT UNEMPLOYMENT VERBAL SKILLS VISION IMPAIRMENTS VISUALLY IMPAIRED P... WAGES WORKING CONDITIONS disorders and medic...

Abstract copyright UK Data Service and data collection copyright owner.The aim of these studies is to examine the positions of the low paid, the subemployed (men and women unemployed for over 4 weeks in the last 12 months), the disabled and immigrants in two local labour markets. There were two main sources of data: 1) All members not in full-time education and under 71 of a simple random sample of households in 2 urban areas (230). 2) Follow-up survey of all individuals in 1, who fell into any one of four special categories (231). i) low paid (less than 55p for males over 18, less than 35p for females over 18) ii) subemployed (unemployed for more than 4 weeks in last 12 months) iii) disabled iv) immigrants (not born in UK or Eire)

Dataset contains counts and measures for individuals from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 1.

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The variables included in this dataset are for the census usually resident population count (unless otherwise stated). All data is for level 1 of the classification.

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The variables for part 2 of the dataset are:

• Individual home ownership for the census usually resident population count aged 15 years and over
• Usual residence 1 year ago indicator
• Usual residence 5 years ago indicator
• Years at usual residence
• Average years at usual residence
• Years since arrival in New Zealand for the overseas-born census usually resident population count
• Average years since arrival in New Zealand for the overseas-born census usually resident population count
• Study participation
• Main means of travel to education, by usual residence address for the census usually resident population who are studying
• Main means of travel to education, by education address for the census usually resident population who are studying
• Highest qualification for the census usually resident population count aged 15 years and over
• Post-school qualification in New Zealand indicator for the census usually resident population count aged 15 years and over
• Highest secondary school qualification for the census usually resident population count aged 15 years and over
• Post-school qualification level of attainment for the census usually resident population count aged 15 years and over
• Sources of personal income (total responses) for the census usually resident population count aged 15 years and over
• Total personal income for the census usually resident population count aged 15 years and over
• Median ($) total personal income for the census usually resident population count aged 15 years and over
• Work and labour force status for the census usually resident population count aged 15 years and over
• Job search methods (total responses) for the unemployed census usually resident population count aged 15 years and over
• Status in employment for the employed census usually resident population count aged 15 years and over
• Unpaid activities (total responses) for the census usually resident population count aged 15 years and over
• Hours worked in employment per week for the employed census usually resident population count aged 15 years and over
• Average hours worked in employment per week for the employed census usually resident population count aged 15 years and over
• Industry, by usual residence address for the employed census usually resident population count aged 15 years and over
• Industry, by workplace address for the employed census usually resident population count aged 15 years and over
• Occupation, by usual residence address for the employed census usually resident population count aged 15 years and over
• Occupation, by workplace address for the employed census usually resident population count aged 15 years and over
• Main means of travel to work, by usual residence address for the employed census usually resident population count aged 15 years and over
• Main means of travel to work, by workplace address for the employed census usually resident population count aged 15 years and over
• Sector of ownership for the employed census usually resident population count aged 15 years and over
• Individual unit data source.

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Download lookup file for part 2 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.

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Footnotes

Te Whata

Under the Mana Ōrite Relationship Agreement, Te Kāhui Raraunga (TKR) will be publishing Māori descent and iwi affiliation data from the 2023 Census in partnership with Stats NZ. This will be available on Te Whata, a TKR platform.

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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.

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Subnational census usually resident population

The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.

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Population counts

Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts.

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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).

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Study participation time series

In the 2013 Census study participation was only collected for the census usually resident population count aged 15 years and over.

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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.

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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.

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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.

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Disability indicator

This data should not be used as an official measure of disability prevalence. Disability prevalence estimates are only available from the 2023 Household Disability Survey. Household Disability Survey 2023: Final content has more information about the survey.

Activity limitations are measured using the Washington Group Short Set (WGSS). The WGSS asks about six basic activities that a person might have difficulty with: seeing, hearing, walking or climbing stairs, remembering or concentrating, washing all over or dressing, and communicating. A person was classified as disabled in the 2023 Census if there was at least one of these activities that they had a lot of difficulty with or could not do at all.

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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”.

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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.

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Measures

Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value

Introduction: Down syndrome (DS) is the leading cause of genetically defined intellectual disability and congenital birth defects worldwide. A large population of people diagnosed with DS globally is posing an enormous socioeconomic burden. However, the global burden and trends of DS have not been reported.Methods: Based on the data from the Global Burden of Disease database in 2019, we analyzed the incidence, prevalence, disability-adjusted life years (DALYs), and death of DS from 1990 to 2019 according to sex, age, regions, and social-demographic index (SDI). Then, age-standardized rates (ASRs) and estimated annual percentage change (EAPC) of these aforementioned indexes were calculated to evaluate the temporal trend of DS. Finally, the association of SDI with DS epidemiological parameters was assessed.Results: In the past 30 years, the incident cases, age-standardized incident rate (ASIR), and age-standardized prevalent rate (ASPR) of DS first decreased slightly and subsequently increased globally. The number of prevalent cases increased steadily, while the number and age-standardized rate (ASRs) of DALYs and deaths decreased gradually from 1990 to 2019. In the meantime, disease burdens were different across various SDI regions. The prevalent cases and ASPR for both sexes were increasing in all SDI regions except for the high-middle SDI region. At the national level, Brunei Darussalam, Ireland, and Haiti were the top three countries with the highest ASIR in 2019. Georgia was in the top three with the highest increase in ASRs of four parameters, while Serbia was consistently ranked in the top three with fastest declining. Furthermore, we found that ASIR and ASPR were positively correlated with SDI, yet the age-standardized DALYs and age-standardized death rate (ASDR) were negatively correlated with SDI.Conclusion: In the past 30 years, the burden and trends of DS were heterogeneous across different regions and countries with different sociodemographic characteristics. Great improvements had been achieved in reducing DALYs and deaths globally. However, the increased number and ASRs of incident and prevalent cases in some regions, especially in low SDI regions, were contributing to numerous challenges to public health. The findings may provide valuable information to the development or implementation of more effective measures.

The 'Climate Just' Map Tool shows the geography of England’s vulnerability to climate change at a neighbourhood scale.

The Climate Just Map Tool shows which places may be most disadvantaged through climate impacts. It aims to raise awareness about how social vulnerability combined with exposure to hazards, like flooding and heat, may lead to uneven impacts in different neighbourhoods, causing climate disadvantage.

Climate Just Map Tool includes maps on:

• Flooding (river/coastal and surface water)
• Heat
• Fuel poverty.

The flood and heat analysis for England is based on an assessment of social vulnerability in 2011 carried out by the University of Manchester. This has been combined with national datasets on exposure to flooding, using Environment Agency data, and exposure to heat, using UKCP09 data.

Data is available at Middle Super Output Area (MSOA) level across England. Summaries of numbers of MSOAs are shown in the file named Climate Just-LA_summaries_vulnerability_disadvantage_Dec2014.xls

Indicators include:

Climate Just-Flood disadvantage_2011_Dec2014.xlsx

Fluvial flood disadvantage index
Pluvial flood disadvantage index (1 in 30 years)
Pluvial flood disadvantage index (1 in 100 years)
Pluvial flood disadvantage index (1 in 1000 years)

Climate Just-Flood_hazard_exposure_2011_Dec2014.xlsx

Percentage of area at moderate and significant risk of fluvial flooding
Percentage of area at risk of surface water flooding (1 in 30 years)
Percentage of area at risk of surface water flooding (1 in 100 years)
Percentage of area at risk of surface water flooding (1 in 1000 years)

Climate Just-SSVI_indices_2011_Dec2014.xlsx

Sensitivity - flood and heat
Ability to prepare - flood
Ability to respond - flood
Ability to recover - flood
Enhanced exposure - flood
Ability to prepare - heat
Ability to respond - heat
Ability to recover - heat
Enhanced exposure - heat
Socio-spatial vulnerability index - flood
Socio-spatial vulnerability index - heat

Climate Just-SSVI_indicators_2011_Dec2014.xlsx

% children < 5 years old
% people > 75 years old
% people with long term ill-health/disability (activities limited a little or a lot)
% households with at least one person with long term ill-health/disability (activities limited a little or a lot)
% unemployed
% in low income occupations (routine & semi-routine)
% long term unemployed / never worked
% households with no adults in employment and dependent children
Average weekly household net income estimate (equivalised after housing costs) (Pounds)
% all pensioner households
% households rented from social landlords
% households rented from private landlords
% born outside UK and Ireland
Flood experience (% area associated with past events)
Insurance availability (% area with 1 in 75 chance of flooding)
% people with % unemployed
% in low income occupations (routine & semi-routine)
% long term unemployed / never worked
% households with no adults in employment and dependent children
Average weekly household net income estimate (equivalised after housing costs) (Pounds)
% all pensioner households
% born outside UK and Ireland
Flood experience (% area associated with past events)
Insurance availability (% area with 1 in 75 chance of flooding)
% single pensioner households
% lone parent household with dependent children
% people who do not provide unpaid care
% disabled (activities limited a lot)
% households with no car
Crime score (IMD)
% area not road
Density of retail units (count /km2)
% change in number of local VAT-based units
% people with % not home workers
% unemployed
% in low income occupations (routine & semi-routine)
% long term unemployed / never worked
% households with no adults in employment and dependent children
Average weekly household net income estimate (Pounds)
% all pensioner households
% born outside UK and Ireland
Insurance availability (% area with 1 in 75 chance of flooding)
% single pensioner households
% lone parent household with dependent children
% people who do not provide unpaid care
% disabled (activities limited a lot)
% households with no car
Travel time to nearest GP by walk/public transport (mins - representative time)
% of at risk pop

Abstract copyright UK Data Service and data collection copyright owner.The aim of these studies is to examine the positions of the low paid, the subemployed (men and women unemployed for over 4 weeks in the last 12 months), the disabled and immigrants in two local labour markets. There were two main sources of data: 1) All members not in full-time education and under 71 of a simple random sample of households in 2 urban areas (230). 2) Follow-up survey of all individuals in 1, who fell into any one of four special categories (231). i) low paid (less than 55p for males over 18, less than 35p for females over 18) ii) subemployed (unemployed for more than 4 weeks in last 12 months) iii) disabled iv) immigrants (not born in UK or Eire)

The variables included in this dataset are for the census usually resident population count (unless otherwise stated). All data is for level 1 of the classification (unless otherwise stated).The variables for part 1 of the dataset are:Census usually resident population countCensus night population countAge (5-year groups)Age (life cycle groups)Median age Birthplace (NZ born/overseas born)Birthplace (broad geographic areas)Ethnicity (total responses) for level 1 and ‘Other Ethnicity’ grouped by ‘New Zealander’ and ‘Other Ethnicity nec’Māori descent indicatorLanguages spoken (total responses)Official language indicatorGenderSex at birthRainbow/LGBTIQ+ indicator for the census usually resident population count aged 15 years and overSexual identity for the census usually resident population count aged 15 years and overLegally registered relationship status for the census usually resident population count aged 15 years and overPartnership status in current relationship for the census usually resident population count aged 15 years and overNumber of children born for the sex at birth female census usually resident population count aged 15 years and overAverage number of children born for the sex at birth female census usually resident population count aged 15 years and overReligious affiliation (total responses) Cigarette smoking behaviour for the census usually resident population count aged 15 years and overDisability indicator for the census usually resident population count aged 5 years and overDifficulty communicating for the census usually resident population count aged 5 years and overDifficulty hearing for the census usually resident population count aged 5 years and overDifficulty remembering or concentrating for the census usually resident population count aged 5 years and overDifficulty seeing for the census usually resident population count aged 5 years and overDifficulty walking for the census usually resident population count aged 5 years and overDifficulty washing for the census usually resident population count aged 5 years and over.Download lookup file for part 1 from Stats NZ ArcGIS Online or Stats NZ geographic data service.FootnotesTe Whata Under the Mana Ōrite Relationship Agreement, Te Kāhui Raraunga (TKR) will be publishing Māori descent and iwi affiliation data from the 2023 Census in partnership with Stats NZ. This will be available on Te Whata, a TKR platform.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. Subnational census usually resident population The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city. Population counts Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts. 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). Study participation time seriesIn the 2013 Census study participation was only collected for the census usually resident population count aged 15 years and over.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 ratingsData quality ratings for 2023 Census variables has additional details about variables found within totals by topic, for example, definitions and data quality.Disability indicatorThis data should not be used as an official measure of disability prevalence. Disability prevalence estimates are only available from the 2023 Household Disability Survey. Household Disability Survey 2023: Final content has more information about the survey.Activity limitations are measured using the Washington Group Short Set (WGSS). The WGSS asks about six basic activities that a person might have difficulty with: seeing, hearing, walking or climbing stairs, remembering or concentrating, washing all over or dressing, and communicating. A person was classified as disabled in the 2023 Census if there was at least one of these activities that they had a lot of difficulty with or could not do at all.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 ConfidentialInconsistencies in definitions Please note that there may be differences in definitions between census classifications and those used for other data collections.

Abstract copyright UK Data Service and data collection copyright owner.

Background
The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation.

Household datasets
Up to 2015, the LFS household datasets were produced twice a year (April-June and October-December) from the corresponding quarter's individual-level data. From January 2015 onwards, they are now produced each quarter alongside the main QLFS. The household datasets include all the usual variables found in the individual-level datasets, with the exception of those relating to income, and are intended to facilitate the analysis of the economic activity patterns of whole households. It is recommended that the existing individual-level LFS datasets continue to be used for any analysis at individual level, and that the LFS household datasets be used for analysis involving household or family-level data. From January 2011, a pseudonymised household identifier variable (HSERIALP) is also included in the main quarterly LFS dataset instead.

Change to coding of missing values for household series
From 1996-2013, all missing values in the household datasets were set to one '-10' category instead of the separate '-8' and '-9' categories. For that period, the ONS introduced a new imputation process for the LFS household datasets and it was necessary to code the missing values into one new combined category ('-10'), to avoid over-complication. This was also in line with the Annual Population Survey household series of the time. The change was applied to the back series during 2010 to ensure continuity for analytical purposes. From 2013 onwards, the -8 and -9 categories have been reinstated.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each volume alongside the appropriate questionnaire for the year concerned. However, LFS volumes are updated periodically by ONS, so users are advised to check the ONS LFS User Guidance page before commencing analysis.

Additional data derived from the QLFS
The Archive also holds further QLFS series: End User Licence (EUL) quarterly datasets; Secure Access datasets (see below); two-quarter and five-quarter longitudinal datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.

End User Licence and Secure Access QLFS Household datasets
Users should note that there are two discrete versions of the QLFS household datasets. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. Secure Access household datasets for the QLFS are available from 2009 onwards, and include additional, detailed variables not included in the standard EUL versions. Extra variables that typically can be found in the Secure Access versions but not in the EUL versions relate to: geography; date of birth, including day; education and training; household and family characteristics; employment; unemployment and job hunting; accidents at work and work-related health problems; nationality, national identity and country of birth; occurrence of learning difficulty or disability; and benefits. For full details of variables included, see data dictionary documentation. The Secure Access version (see SN 7674) has more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of...

Abstract copyright UK Data Service and data collection copyright owner.The Annual Population Survey (APS) is a major survey series, which aims to provide data that can produce reliable estimates at the local authority level. Key topics covered in the survey include education, employment, health and ethnicity. The APS comprises key variables from the Labour Force Survey (LFS), all its associated LFS boosts and the APS boost. The APS aims to provide enhanced annual data for England, covering a target sample of at least 510 economically active persons for each Unitary Authority (UA)/Local Authority District (LAD) and at least 450 in each Greater London Borough. In combination with local LFS boost samples, the survey provides estimates for a range of indicators down to Local Education Authority (LEA) level across the United Kingdom.For further detailed information about methodology, users should consult the Labour Force Survey User Guide, included with the APS documentation. For variable and value labelling and coding frames that are not included either in the data or in the current APS documentation, users are advised to consult the latest versions of the LFS User Guides, which are available from the ONS Labour Force Survey - User Guidance webpages.Occupation data for 2021 and 2022The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. The affected datasets have now been updated. Further information can be found in the ONS article published on 11 July 2023: Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022APS Well-Being DatasetsFrom 2012-2015, the ONS published separate APS datasets aimed at providing initial estimates of subjective well-being, based on the Integrated Household Survey. In 2015 these were discontinued. A separate set of well-being variables and a corresponding weighting variable have been added to the April-March APS person datasets from A11M12 onwards. Further information on the transition can be found in the Personal well-being in the UK: 2015 to 2016 article on the ONS website.APS disability variablesOver time, there have been some updates to disability variables in the APS. An article explaining the quality assurance investigations on these variables that have been conducted so far is available on the ONS Methodology webpage. End User Licence and Secure Access APS dataUsers should note that there are two versions of each APS dataset. One is available under the standard End User Licence (EUL) agreement, and the other is a Secure Access version. The EUL version includes Government Office Region geography, banded age, 3-digit SOC and industry sector for main, second and last job. The Secure Access version contains more detailed variables relating to: age: single year of age, year and month of birth, age completed full-time education and age obtained highest qualification, age of oldest dependent child and age of youngest dependent child family unit and household: including a number of variables concerning the number of dependent children in the family according to their ages, relationship to head of household and relationship to head of family nationality and country of origin geography: including county, unitary/local authority, place of work, Nomenclature of Territorial Units for Statistics 2 (NUTS2) and NUTS3 regions, and whether lives and works in same local authority district health: including main health problem, and current and past health problems education and apprenticeship: including numbers and subjects of various qualifications and variables concerning apprenticeships industry: including industry, industry class and industry group for main, second and last job, and industry made redundant from occupation: including 4-digit Standard Occupational Classification (SOC) for main, second and last job and job made redundant from system variables: including week number when interview took place and number of households at address The Secure Access data have more restrictive access conditions than those made available under the standard EUL. Prospective users will need to gain ONS Accredited Researcher status, complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables. Users are strongly advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. For the sixth edition (April 2015) an updated version of the data was deposited, weighted to 2014 population figures (based on Census 2011). An updated APS user guide is also available. The Special Licence version of the APS January - December, 2004 is held at the UKDA under SN 5220. Main Topics:Topics covered include: household composition and relationships, housing tenure, nationality, ethnicity and residential history, employment and training (including government schemes), workplace and location, job hunting, educational background and qualifications. Many of the variables included in the survey are the same as those in the LFS. Multi-stage stratified random sample Face-to-face interview Telephone interview 2004 ACADEMIC ACHIEVEMENT ADVANCED LEVEL EXAM... ADVANCED SUPPLEMENT... AGE APPLICATION FOR EMP... APPOINTMENT TO JOB ATTITUDES BONUS PAYMENTS BUSINESS AND TECHNO... BUSINESSES CARDIOVASCULAR DISE... CARE OF DEPENDANTS CERTIFICATE OF SECO... CERTIFICATE OF SIXT... CHILDREN CHRONIC ILLNESS CITY AND GUILDS OF ... COHABITATION CONDITIONS OF EMPLO... DEBILITATIVE ILLNESS DEGREES DEPRESSION DIABETES DIGESTIVE SYSTEM DI... DISABILITIES Demography population ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL CERTIFI... EDUCATIONAL COURSES EMPLOYEES EMPLOYER SPONSORED ... EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ENDOCRINE DISORDERS EPILEPSY ETHNIC GROUPS FAMILIES FAMILY MEMBERS FIELDS OF STUDY FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... GENDER GENERAL CERTIFICATE... GENERAL NATIONAL VO... GENERAL SCOTTISH VO... HEADS OF HOUSEHOLD HEALTH HEARING IMPAIRMENTS HIGHER EDUCATION HIGHER NATIONAL CER... HOME BUYING HOME OWNERSHIP HOURS OF WORK HOUSEHOLDS HOUSING HOUSING TENURE INCOME INDUSTRIES JOB CHANGING JOB HUNTING JOB SEEKER S ALLOWANCE LANDLORDS LEARNING DISABILITIES Labour and employment MANAGERS MARITAL STATUS MENTAL DISORDERS MUSCULOSKELETAL DIS... NATIONAL IDENTITY NATIONAL VOCATIONAL... NATIONALITY NERVOUS SYSTEM DISE... OCCUPATIONAL QUALIF... OCCUPATIONS ORDINARY LEVEL EXAM... ORDINARY NATIONAL C... OVERTIME PART TIME COURSES PART TIME EMPLOYMENT PLACE OF RESIDENCE PRIVATE SECTOR PUBLIC SECTOR QUALIFICATIONS RECRUITMENT REDUNDANCY REDUNDANCY PAY RELIGIOUS AFFILIATION RENTED ACCOMMODATION RESIDENTIAL MOBILITY RESPIRATORY TRACT D... ROYAL SOCIETY OF AR... SCOTTISH CERTIFICAT... SCOTTISH VOCATIONAL... SCOTTISH VOCATIONAL... SELF EMPLOYED SICK LEAVE SKIN DISEASES SOCIAL HOUSING SOCIAL SECURITY BEN... SOCIO ECONOMIC STATUS SPEECH IMPAIRMENTS STATE RETIREMENT PE... STUDENTS SUBSIDIARY EMPLOYMENT SUPERVISORS SUPERVISORY STATUS TAX RELIEF TEMPORARY EMPLOYMENT TERMINATION OF SERVICE TIED HOUSING TRAINING TRAINING COURSES UNEMPLOYED UNEMPLOYMENT UNFURNISHED ACCOMMO... VISION IMPAIRMENTS VOCATIONAL EDUCATIO... WAGES WELSH LANGUAGE WORKING CONDITIONS WORKPLACE vital statistics an...

The data shows the statistics of different item-wise reports on a cumulative yearly basis in states up to the sub-district level in Odisha. It included 1) Ante Natal Care (ANC) - Antenatal care (ANC) is a means to identify high-risk pregnancies and educate women so that they might experience healthier delivery and outcomes. 2) Deliveries - The delivery of the baby by the pregnant women 3) Number of Caesarean (C-Section) deliveries - Caesarean delivery (C-section) is used to deliver a baby through surgical incisions made in the abdomen and uterus. 4) Pregnancy outcome & details of new-born - The records kept of the pregnancy outcome along with the details of new-born 5) Complicated Pregnancies - The different pregnancies that were not normal and had complications 6) Post Natal Care (PNC) - Postnatal care is defined as care given to the mother and her new-born baby immediately after the birth of the placenta and for the first six weeks of life 7) Reproductive Tract Infections/Sexually Transmitted Infections (RTI/STI) Cases - The records of reproductive tract infections along with the records of the sexually transmitted cases 8) Family Planning - The different methods used by families to keep track of family 9) CHILD IMMUNISATION - The records of child immunisation which are records of vaccination 10) Number of cases of Childhood Diseases (0-5 years) - The records of the number of cases of childhood diseases within the age of 5 years old 11) NVBDCP - The National Vector Borne Disease Control Programme (NVBDCP) is one of the most comprehensive and multi-faceted public health activities in the country and concerned with the prevention and control of vector-borne diseases, namely Malaria, Filariasis, Kala-azar, Dengue and Japanese Encephalitis (JE). 12) Adolescent Health - The record of the conditions of adolescent health 13 ) Directly Observed Treatment, Short-course (DOTS) - Directly observed treatment, short-course (DOTS, also known as TB-DOTS) is the name given to the tuberculosis (TB) control strategy recommended by the World Health Organization 14) Patient Services - Patient Services means those which vary with the number of personnel; professional and para-professional skills of the personnel; specialised equipment, and reflect the intensity of the medical and psycho-social needs of the patients. 15) Laboratory Testing - A medical procedure that involves testing a sample of blood, urine, or other substance from the body. Laboratory tests can help determine a diagnosis, plan treatment, check if the treatment works, or monitor the disease over time. 16) Details of deaths reported with probable causes - The reports of deaths recorded with possible reasons are given in a detail 17) Vaccines - The reports of vaccines which are recorded 18) Syringes - It is the number of syringes that are used and recorded 19) Rashtriya Bal Swasthaya Karyakram (RBSK) - Rashtriya Bal Swasthya Karyakram (RBSK) is an important initiative aiming at early identification and early intervention for children from birth to 18 years to cover 4 'D's viz. Defects at birth, Deficiencies, Diseases, Development delays, including disability. 20) Coverage under WIFS JUNIOR - The coverage of the Weekly Iron Folic Acid Supplementation Programme for children six to one 21) Maternal Death Reviews (MDR) - A maternal death review is cross-checking how the mother died. It provides a rare opportunity for a group of health staff and community members to learn from a tragic – and often preventable. 22) Janani Shishu Suraksha Karyakaram (JSSK)- This initiative provides free and cashless services to pregnant women, including normal deliveries and caesarean operations. It entitles all pregnant women in public health institutions to free and no-expense delivery, including caesarean section.

A number of characteristics of individuals are protected under the 2010 Equality Act, in order to limit the discrimination and disadvantage of groups with one or several shared characteristics. This table brings together a range of sources to present estimates of London's population by gender, age, ethnicity, religion, disability status, country of birth and sexual identity. It also shows population breakdowns for subgroups in each of these categories by broad age group and ethnicity. The socio-economic position of individuals is not a protected characteristic, but is nonetheless an important factor affecting outcomes. The table therefore also includes social class at the household level.

The data shows the statistics of different item-wise reports on a cumulative yearly basis in states up to the sub-district level in Kerala. It included 1) Ante Natal Care (ANC) - Antenatal care (ANC) is a means to identify high-risk pregnancies and educate women so that they might experience healthier delivery and outcomes. 2) Deliveries - The delivery of the baby by the pregnant women 3) Number of Caesarean (C-Section) deliveries - Caesarean delivery (C-section) is used to deliver a baby through surgical incisions made in the abdomen and uterus. 4) Pregnancy outcome & details of new-born - The records kept of the pregnancy outcome along with the details of new-born 5) Complicated Pregnancies - The different pregnancies that were not normal and had complications 6) Post Natal Care (PNC) - Postnatal care is defined as care given to the mother and her new-born baby immediately after the birth of the placenta and for the first six weeks of life 7) Reproductive Tract Infections/Sexually Transmitted Infections (RTI/STI) Cases - The records of reproductive tract infections along with the records of the sexually transmitted cases 8) Family Planning - The different methods used by families to keep track of family 9) CHILD IMMUNISATION - The records of child immunisation which are records of vaccination 10) Number of cases of Childhood Diseases (0-5 years) - The records of the number of cases of childhood diseases within the age of 5 years old 11) NVBDCP - The National Vector Borne Disease Control Programme (NVBDCP) is one of the most comprehensive and multi-faceted public health activities in the country and concerned with the prevention and control of vector-borne diseases, namely Malaria, Filariasis, Kala-azar, Dengue and Japanese Encephalitis (JE). 12) Adolescent Health - The record of the conditions of adolescent health 13 ) Directly Observed Treatment, Short-course (DOTS) - Directly observed treatment, short-course (DOTS, also known as TB-DOTS) is the name given to tuberculosis (TB) control strategy recommended by the World Health Organization 14) Patient Services - Patient Services means those which vary with the number of personnel; professional and para-professional skills of the personnel; specialised equipment, and reflect the intensity of the medical and psycho-social needs of the patients. 15) Laboratory Testing - A medical procedure that involves testing a sample of blood, urine, or other substance from the body. Laboratory tests can help determine a diagnosis, plan treatment, check if the treatment works, or monitor the disease over time. 16) Details of deaths reported with probable causes - The reports of deaths recorded with possible reasons are given in a detail 17) Vaccines - The reports of vaccines which are recorded 18) Syringes - It is the number of syringes that are used and recorded 19) Rashtriya Bal Swasthaya Karyakram (RBSK) - Rashtriya Bal Swasthya Karyakram (RBSK) is an important initiative aiming at early identification and early intervention for children from birth to 18 years to cover 4 'D's viz. Defects at birth, Deficiencies, Diseases, Development delays, including disability. 20) Coverage under WIFS JUNIOR - The coverage of the Weekly Iron Folic Acid Supplementation Programme for children six to one 21) Maternal Death Reviews (MDR) - A maternal death review cross-checks how the mother died. It provides a rare opportunity for a group of health staff and community members to learn from a tragic – and often preventable. 22) Janani Shishu Suraksha Karyakaram (JSSK)- This initiative provides free and cashless services to pregnant women, including standard deliveries and caesarean operations. It entitles all pregnant women in public health institutions to free and no-expense delivery, including caesarean section.

The DSS Payment Demographic data set is made up of:

Selected DSS payment data by

• Geography: state/territory, electorate, postcode, LGA and SA2 (for 2015 onwards)

• Demographic: age, sex and Indigenous/non-Indigenous

• Duration on Payment (Working Age & Pensions)

• Duration on Income Support (Working Age, Carer payment & Disability Support Pension)

• Rate (Working Age & Pensions)

• Earnings (Working Age & Pensions)

• Age Pension assets data

• JobSeeker Payment and Youth Allowance (other) Principal Carers

• Activity Tested Recipients by Partial Capacity to Work (NSA,PPS & YAO)

• Exits within 3, 6 and 12 months (Newstart Allowance/JobSeeker Payment, Parenting Payment, Sickness Allowance & Youth Allowance)

• Disability Support Pension by medical condition

• Care Receiver by medical conditions

• Commonwealth Rent Assistance by Payment type and Income Unit type have been added from March 2017. For further information about Commonwealth Rent Assistance and Income Units see the Data Descriptions and Glossary included in the dataset.

From December 2022, the "DSS Expanded Benefit and Payment Recipient Demographics – quarterly data" publication has introduced expanded reporting populations for income support recipients. As a result, the reporting population for Jobseeker Payment and Special Benefit has changed to include recipients who are current but on zero rate of payment and those who are suspended from payment. The reporting population for ABSTUDY, Austudy, Parenting Payment and Youth Allowance has changed to include those who are suspended from payment. The expanded report will replace the standard report after June 2023.

Additional data for DSS Expanded Benefit and Payment Recipient Demographics – quarterly data includes:

• A new contents page to assist users locate the information within the spreadsheet

• Additional data for the ‘Suspended’ population in the ‘Payment by Rate’ tab to enable users to calculate the old reporting rules.

• Additional information on the Employment Earning by ‘Income Free Area’ tab.

From December 2022, Services Australia have implemented a change in the Centrelink payment system to recognise gender other than the sex assigned at birth or during infancy, or as a gender which is not exclusively male or female. To protect the privacy of individuals and comply with confidentialisation policy, persons identifying as ‘non-binary’ will initially be grouped with ‘females’ in the period immediately following implementation of this change. The Department will monitor the implications of this change and will publish the ‘non-binary’ gender category as soon as privacy and confidentialisation considerations allow.

Local Government Area has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2022 boundaries from June 2023.

Commonwealth Electorate Division has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

SA2 has been updated to reflect the Australian Statistical Geography Standard (ASGS) 2021 boundaries from June 2023.

From December 2021, the following are included in the report:

• selected payments by work capacity, by various demographic breakdowns

• rental type and homeownership

• Family Tax Benefit recipients and children by payment type

• Commonwealth Rent Assistance by proportion eligible for the maximum rate

• an age breakdown for Age Pension recipients

For further information, please see the Glossary.

From June 2021, data on the Paid Parental Leave Scheme is included yearly in June releases. This includes both Parental Leave Pay and Dad and Partner Pay, across multiple breakdowns. Please see Glossary for further information.

From March 2017 the DSS demographic dataset will include top 25 countries of birth. For further information see the glossary.

From March 2016 machine readable files containing the three geographic breakdowns have also been published for use in National Map, links to these datasets are below:

• Statistical Area 2 - SA2

• Commonwealth Electoral Division - CED

• Local Government Area - LGA

Pre June 2014 Quarter Data contains:

Selected DSS payment data by

• Geography: state/territory; electorate; postcode and LGA

• Demographic: age, sex and Indigenous/non-Indigenous

Note: JobSeeker Payment replaced Newstart Allowance and other working age payments from 20 March 2020, for further details see: https://www.dss.gov.au/benefits-payments/jobseeker-payment

For data on DSS payment demographics as at June 2013 or earlier, the department has published data which was produced annually. Data is provided by payment type containing timeseries’, state, gender, age range, and various other demographics. Links to these publications are below:

• Statistical Paper series

Concession card data in the March and June 2020 quarters have been re-stated to address an over-count in reported cardholder numbers.

28/06/2024 – The March 2024 and December 2023 reports were republished with updated data in the ‘Carer Receivers by Med Condition’ section, updates are exclusive to the ‘Care Receivers of Carer Payment recipients’ table, under ‘Intellectual / Learning’ and ‘Circulatory System’ conditions only.

Abstract copyright UK Data Service and data collection copyright owner.The UK censuses took place on 27 March 2011. They were run by the Northern Ireland Statistics & Research Agency (NISRA), National Records of Scotland (NRS), and the Office for National Statistics (ONS) for both England and Wales. The UK comprises the countries of England, Wales, Scotland and Northern Ireland.Statistics from the UK censuses help paint a picture of the nation and how we live. They provide a detailed snapshot of the population and its characteristics and underpin funding allocation to provide public services. This is the home for all UK census data. The 2011 Census Microdata Individual Safeguarded Sample (Regional): Scotland data collection forms part of the statistical outputs from the 2011 Scotland Census. A safeguarded microdata sample of individuals has been identified as a key Census user requirement, and was highlighted as part of a report specifying microdata products from the 2011 Census written by an expert user, Dr. Jo Wathan from the University of Manchester. The purpose of a safeguarded sample of individuals is to be able to disseminate a detailed microdata file without onerous licensing conditions, by reducing the overall amount of detail compared to the secure samples. Whilst supplying sufficient detail on core variables to fulfil the intended aim of the microdata products, the safeguarded sample is a valuable multi-purpose research file that will be used on a wide range of projects. (For Censuses prior to 2011, these data may have been referred to as 'Samples of Anonymised Records', or SARSs.) This safeguarded sample is of 5% of the total population at Region level (Scotland), and contain a similar level of detail to the equivalent End User Licence Census 2001 Microdata samples. A similar Scotland dataset at Local Authority level is held under SN 7835. These samples have a low risk of disclosure; but not nil. Registered UK Data Service Census users can download the data to their laptops after agreeing terms and conditions that include constraints on data management under remote storage conditions. Further information can be found on the Scotland's Census Supporting Information webpage. Corresponding Regional and Local Authority level data for England and Wales are held under SNs 7605 and 7682, and for Northern Ireland under SNs 7769 and 7770. Main Topics: The variables cover: age; household composition and dharacteristics; provision of unpaid care; number of cars and vans; nature of (communal) establishment; central heating; client Groups; country of birth; education and qualifications; health and disability; housing and tenure; deprivation indicators; long-term health problems; distance travelled to work; children; economic Activity; employment; language skills; ethnic groups; general health; hours worked per week; national identity; marital status; household mobility; National Statistics Socio-Economic Classification (NS-SEC); pensions; pensioner households; number of persons per room; religion; household relationships; Census return by internet or paper; social grade; sex; Single Adult Household; student accommodation; schoolchild or student in full-time education; whether usual resident, student living away, or short-term resident; unemployment history; year of arrival in UK (England and Wales).

Background
The Labour Force Survey (LFS) is a unique source of information using international definitions of employment and unemployment and economic inactivity, together with a wide range of related topics such as occupation, training, hours of work and personal characteristics of household members aged 16 years and over. It is used to inform social, economic and employment policy. The LFS was first conducted biennially from 1973-1983. Between 1984 and 1991 the survey was carried out annually and consisted of a quarterly survey conducted throughout the year and a 'boost' survey in the spring quarter (data were then collected seasonally). From 1992 quarterly data were made available, with a quarterly sample size approximately equivalent to that of the previous annual data. The survey then became known as the Quarterly Labour Force Survey (QLFS). From December 1994, data gathering for Northern Ireland moved to a full quarterly cycle to match the rest of the country, so the QLFS then covered the whole of the UK (though some additional annual Northern Ireland LFS datasets are also held at the UK Data Archive). Further information on the background to the QLFS may be found in the documentation.

Longitudinal data
The LFS retains each sample household for five consecutive quarters, with a fifth of the sample replaced each quarter. The main survey was designed to produce cross-sectional data, but the data on each individual have now been linked together to provide longitudinal information. The longitudinal data comprise two types of linked datasets, created using the weighting method to adjust for non-response bias. The two-quarter datasets link data from two consecutive waves, while the five-quarter datasets link across a whole year (for example January 2010 to March 2011 inclusive) and contain data from all five waves. A full series of longitudinal data has been produced, going back to winter 1992. Linking together records to create a longitudinal dimension can, for example, provide information on gross flows over time between different labour force categories (employed, unemployed and economically inactive). This will provide detail about people who have moved between the categories. Also, longitudinal information is useful in monitoring the effects of government policies and can be used to follow the subsequent activities and circumstances of people affected by specific policy initiatives, and to compare them with other groups in the population. There are however methodological problems which could distort the data resulting from this longitudinal linking. The ONS continues to research these issues and advises that the presentation of results should be carefully considered, and warnings should be included with outputs where necessary.

New reweighting policy
Following the new reweighting policy ONS has reviewed the latest population estimates made available during 2019 and have decided not to carry out a 2019 LFS and APS reweighting exercise. Therefore, the next reweighting exercise will take place in 2020. These will incorporate the 2019 Sub-National Population Projection data (published in May 2020) and 2019 Mid-Year Estimates (published in June 2020). It is expected that reweighted Labour Market aggregates and microdata will be published towards the end of 2020/early 2021.

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the latest version of each user guide volume alongside the appropriate questionnaire for the year concerned. However, volumes are updated periodically by ONS, so users are advised to check the latest documents on the ONS Labour Force Survey - User Guidance pages before commencing analysis. This is especially important for users of older QLFS studies, where information and guidance in the user guide documents may have changed over time.

Additional data derived from the QLFS
The Archive also holds further QLFS series: End User Licence (EUL) quarterly data; Secure Access datasets; household datasets; quarterly, annual and ad hoc module datasets compiled for Eurostat; and some additional annual Northern Ireland datasets.

Variables DISEA and LNGLST
Dataset A08 (Labour market status of disabled people) which ONS suspended due to an apparent discontinuity between April to June 2017 and July to September 2017 is now available. As a result of this apparent discontinuity and the inconclusive investigations at this stage, comparisons should be made with caution between April to June 2017 and subsequent time periods. However users should note that the estimates are not seasonally adjusted, so some of the change between quarters could be due to seasonality. Further recommendations on historical comparisons of the estimates will be given in November 2018 when ONS are due to publish estimates for July to September 2018.

An article explaining the quality assurance investigations that have been conducted so far is available on the ONS Methodology webpage. For any queries about Dataset A08 please email Labour.Market@ons.gov.uk.

Occupation data for 2021 and 2022 data files

The ONS has identified an issue with the collection of some occupational data in 2021 and 2022 data files in a number of their surveys. While they estimate any impacts will be small overall, this will affect the accuracy of the breakdowns of some detailed (four-digit Standard Occupational Classification (SOC)) occupations, and data derived from them. Further information can be found in the ONS article published on 11 July 2023: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/articles/revisionofmiscodedoccupationaldataintheonslabourforcesurveyuk/january2021toseptember2022" style="background-color: rgb(255, 255, 255);">Revision of miscoded occupational data in the ONS Labour Force Survey, UK: January 2021 to September 2022.

2022 Weighting

The population totals used for the latest LFS estimates use projected growth rates from Real Time Information (RTI) data for UK, EU and non-EU populations based on 2021 patterns. The total population used for the LFS therefore does not take into account any changes in migration, birth rates, death rates, and so on since June 2021, and hence levels estimates may be under- or over-estimating the true values and should be used with caution. Estimates of rates will, however, be robust.

Latest edition information

For the sixth edition (February 2025), the data file was resupplied with the 2024 weighting variable included (LGWT24).

Kehitysvammaisten elämänlaatu -projekti aloitettiin Kehitysvammaliiton tutkimus- ja kokeiluyksikössä 1989. Projektin ensimmäisessä vaiheessa kartoitettiin kehitysvammaisten elämänlaatua ryhmäkeskustelumenetelmän avulla. Toisessa vaiheessa toteutettiin kehitysvammaisten haastattelututkimus. Vaikeammin kehitysvammaisten, joita ei voitu haastatella, elämänlaatua on tutkittu videohavainnoinnin ja lähihenkilöille suunnatun kyselyn avulla. Tässä tutkimuksen osassa tiedusteltiin vaikeammin kehitysvammaisten henkilöiden elämänlaatuun liittyviä kysymyksiä elämän eri osa-alueilla. Lähihenkilöt, esimerkiksi omahoitajat tai omaiset, arvioivat hyvin tuntemansa kehitysvammaisen asumista, päivä- ja työtoimintaa sekä hänen elämäänsä liittyviä yleisiä asioita kuten harrastamista ja sosiaalisia suhteita. Asumista tarkasteltiin esimerkiksi kehitysvammaisen omien vaikutusmahdollisuuksien ja mahdollisten muiden asettamien rajoitteiden kannalta. Päivä- ja työtoimintaa käsittelevät kysymykset koskivat muun muassa toiminnan sisältöä ja mielekkyyttä, suoriutumista annetuista tehtävistä ja uuden oppimista. Yleisiä elämään liittyviä asioita kartoitettiin kysymällä esimerkiksi ruokailutilanteista, omien asioiden hoitamisesta, sosiaalisista suhteista ja onko tutkimuksen kohdehenkilöllä päätösvaltaa omista asioistaan, muun muassa pukeutumisestaan. Tutkimushenkilöiden taustatiedot kerättiin samaan aikaan kuin lievemmin vammaisia haastateltiin. Taustatietoja olivat esimerkiksi syntymävuosi, erityishuoltopiiri, vanhempien peruskoulutus ja ammatti, sisarusten lukumäärä sekä äidinkieli. Taustatietoihin kuului myös henkilön vammaan liittyviä kysymyksiä, kuten liikuntakyky, puheilmaisu ja laitosasuminen. Tutkimushenkilöitä koskevien taustatietojen lisäksi haluttiin kerätä vaikeammin vammaisten puolesta vastanneilta lähihenkilöitä taustatietoja heistä itsestään. Koska osa lähihenkilöistä oli kehitysvamma-alan työntekijöitä ja osa omaisia, kartoitettiin heiltä vähän erilaisia taustatietoja. Kaikille yhteiset taustakysymykset olivat sukupuoli ja syntymävuosi. Työntekijöiltä kysyttiin ammattinimike, työkokemus kehitysvamma-alalta ja kuinka kauan hän on tuntenut tutkimushenkilön. Omaisilta kysyttiin heidän sukulaisuussuhdettaan tutkimushenkilöön. The project on the quality of life of the mentally disabled was set in motion by the research unit of the Finnish Association on Intellectual and Developmental Disabilities in 1989. The data were collected with the help of video observation and questionnaires aimed at their support persons, because interviews were not possible to conduct. The quality of life of the severely disabled was studied from several viewpoints. Their support persons, such as nurses or family members, assessed the housing, hobbies, social relationships, work and daily activities of the disabled person they worked with. Housing was examined by asking about chances to influence housing conditions as well as limitations set by others. The questions on work and daily activities included the content and meaningfulness of the activities, the disabled person's ability to perform certain tasks, and learning new skills. Other areas of life were investigated by asking about dining, managing one's own affairs, social relationships, and whether the target person had the power to decide on his/her clothing, for example. The background information was collected at the same time with the interviews of the mildly disabled. Background variables included the target person's year of birth, mother tongue, Special Services District, parents' education level and occupation, and the number of siblings. Relating to target person's disability, questions about mobility, oral expression, and living in institutions were asked. In addition to the background information on target persons, some background information on the support persons was collected as well. Because some of the support persons were health care professionals and others family members, the questions varied slightly according to the respondent. The common background variables included the respondent's gender and year of birth. The health care professionals were asked about their job title, work experience in the field, and how long they had known the target person. The family members were asked how they were related to the target person.

Abstract copyright UK Data Service and data collection copyright owner. The purpose of this study was to collect data defining the problems and needs of Small Heath, as seen by its residents, and to examine the attitudes of respondents to the area and to improvement policies for it. Main Topics: Attitudinal/Behavioural Questions 1. Household Questionnaire Length of residence, number of house moves since 1968, comparison of present and previous accommodation. Past and present residence: place, type, number of rooms, number of adults, tenure, amenities (whether shared). Reasons for moving. If owner occupiers: improvements made, knowledge of grants available and details of grants received. If tenants: satisfaction with landlord's council's standard of maintenance; details of alterations and repairs completed/needed. Knowledge of and attitude to plans for local area, whether further enquiries made, whether seriously considered moving with reasons. Action taken, proposed type and tenure of future residence, whether respondent was on council housing list or Transfer Exchange list (duration). Details of sons'/daughters' place of residence and occupation. Details of illness/disability suffered by any household member, severity of handicap, household's contact with doctor/hospital during previous 2 weeks. Attitude to proposed advice and information centre in Small Heath, knowledge of council departments, action taken to change plans for area. 2. Individual Questionnaire Length of residence, opinion of local district and change in the area over recent years. Respondents were asked to agree/disagree with a number of statements about the area. Opinion on social and racial mix in the area, adequacy of public services in district. Satisfaction with present residence, whether seriously considered moving, proximity of relatives and frequency of contact. Periods of unemployment during last 2 years. Occupation: job description, industry, responsibilities and qualifications, number of job changes in last 5 years, reasons for leaving previous job, length of service in present job, place of work, hours of work (shifts). Journey to work (method, time, distance), effect of three-day week on income. Reasons if women respondents were not working, pre-school child care arrangements and perceived advantages, preferred hours for child-care provision. Type of school children attended, satisfaction with education in area. Respondents were asked to agree/disagree with a number of statements about education in Small Heath. 3. Special Questions for Individuals Born Outside the UK Year of entry into UK, place of residence before emigration (urban/rural), number of close relatives in home country, occupation in home country, use of job skills in UK, place of birth of employer and colleagues, nationality of landlord. Background Variables Age, sex, marital status, place of birth, employment status, income, use of car/telephone. Interval sampling from local authority rating lists Face-to-face interview