Live births and stillbirths annual summary statistics, by sex, age of mother, whether within marriage or civil partnership, percentage of non-UK-born mothers, birth rates and births by month and mothers' area of usual residence.

This statistical release makes available the most recent monthly data on NHS-funded maternity services in England, using data submitted to the Maternity Services Data Set (MSDS). This is the latest report from the newest version of the data set, MSDS.v.2, which has been in place since April 2019. The new data set was a significant change which added support for key policy initiatives such as continuity of carer, as well as increased flexibility through the introduction of new clinical coding. This was a major change, so data quality and coverage initially reduced from the levels seen in earlier publications. MSDS.v.2 data completeness improved over time, and we are looking at ways of supporting further improvements. This publication also includes the National Maternity Dashboard, which can be accessed via the link below. Data derived from SNOMED codes is used in some measures such as those for birthweight, and others will follow in later publications. SNOMED data is also included in some of the published Clinical Quality Improvement Metrics (CQIMs), where rules have been applied to ensure measure rates are calculated only where data quality is high enough. System suppliers are at different stages of development and delivery to trusts. In some cases, this has limited the aspects of data that can be submitted in the MSDS. To help Trusts understand to what extent they met the Clinical Negligence Scheme for Trusts (CNST) Maternity Incentive Scheme (MIS) Data Quality Criteria for Safety Action 2 Year 6, we have been producing a CNST Scorecard Dashboard showing trust performance against this criteria. The final results for the CNST MIS Y6 SA2 assessment, using July 2024 data, are now available in this dashboard, and can be accessed via the link below. This dashboard also includes data for a few non-CNST MSDS data quality priorities and last month we introduced into the dashboard a new data quality measure on birth site code recording, in accordance with Maternity and Neonatal Programme priorities. This new measure will not be assessed as part of the Maternity Incentive Scheme. This month, a small improvement was made to how the CQIMReadmissions metric uses discharge date information and this has resulted in a small change in the data output. As a result, the published CQIMReadmissions figures from this month's publication onwards are not fully comparable to the figures from earlier months. Last month, MSDS metrics published to support Saving Babies Lives Care Bundle (SBLCB) monitoring were updated to align with the contents of SBLCB version 3. As a result some SBLCB version 2 metrics have been removed from the Measures file and others have been renamed to align with SBLCB version 3 naming conventions. More information about the CQIMReadmissions change and the MSDS metrics published to support SBLCB are available in the accompanying Metadata file. The percentages presented in this report are based on rounded figures and therefore may not total to 100%.

This is a publication on maternity activity in English NHS hospitals. This report examines data relating to delivery and birth episodes in 2022-23, and the booking appointments for these deliveries. This annual publication covers the financial year ending March 2023. Data is included from both the Hospital Episodes Statistics (HES) data warehouse and the Maternity Services Data Set (MSDS). HES contains records of all admissions, appointments and attendances for patients admitted to NHS hospitals in England. The HES data used in this publication are called 'delivery episodes'. The MSDS collects records of each stage of the maternity service care pathway in NHS-funded maternity services, and includes information not recorded in HES. The MSDS is a maturing, national-level dataset. In April 2019 the MSDS transitioned to a new version of the dataset. This version, MSDS v2.0, is an update that introduced a new structure and content - including clinical terminology, in order to meet current clinical practice and incorporate new requirements. It is designed to meet requirements that resulted from the National Maternity Review, which led to the publication of the Better Births report in February 2016. This is the fourth publication of data from MSDS v2.0 and data from 2019-20 onwards is not directly comparable to data from previous years. This publication shows the number of HES delivery episodes during the period, with a number of breakdowns including by method of onset of labour, delivery method and place of delivery. It also shows the number of MSDS deliveries recorded during the period, with breakdowns including the baby's first feed type, birthweight, place of birth, and breastfeeding activity; and the mothers' ethnicity and age at booking. There is also data available in a separate file on breastfeeding at 6 to 8 weeks. The count of Total Babies includes both live and still births, and previous changes to how Total Babies and Total Deliveries were calculated means that comparisons between 2019-20 MSDS data and later years should be made with care. Information on how all measures are constructed can be found in the HES Metadata and MSDS Metadata files provided below. In this publication we have also included an interactive Power BI dashboard to enable users to explore key NHS Maternity Statistics measures. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care. This report will also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. Any feedback on this publication or dashboard can be provided to enquiries@nhsdigital.nhs.uk, under the subject “NHS Maternity Statistics”.

This page contains monthly data on births registered in Scotland. Table 1 presents the numbers of births registered in Scotland, and each National Health Service (NHS) Board area, for every month since 1990. Table 2 presents the numbers of births registered in Scotland, and each council area, for every month since 1996. Table 3 presents the numbers of births which occurred in Scotland, for every month since 1990. This includes the number of births in each month, rather than the number of registrations, to provide more useable data on the number of births during the part of 2020 when registration of births was postponed, and the subsequent months when all of the postponed registrations took place. Please note that there may be some minor discrepancies between the figures which are given here and those that are appear in the Quarterly and Annual tables, because the tables may have been extracted at different times, and a small number of records may have been added to the statistical database in the intervening period. Correction 31 August 2023 – Data for March, May and June 2023 was missing from Table M2C due to a processing error. This has now been corrected.

Rank and count of the top names for baby girls, changes in rank since the previous year and breakdown by country, region, mother's age and month of birth.

This collection contains the documentation and raw anonymised data from 1,754 parents whose babies were born/due to be born during the first three months of the UK lockdown. The raw data includes demographic data, psychometric scores, and responses to open ended questions about changes to the perinatal experience.My research investigates the choices pregnant women make when they have previously had a traumatic birth. It is relevant to academics working in midwifery education, obstetrics, social policy, psychology, and sociology, and has implications for midwives and obstetricians in practice. This fellowship will enable me to publicise the findings of my research, and to carry out a small study into an issue which arose during my doctoral research. Traumatic birth is an emerging area of research. Up to 30% of women in the UK experience childbirth as a traumatic event, with many going on to experience some form of anxiety, depression, or post-traumatic stress disorder (PTSD) following childbirth (Slade, 2006; Ayers, 2014). Research does exist into why some women experience childbirth as traumatic, and how it can be treated, but there was no research into how a traumatic birth might affect the choices women made in subsequent pregnancies. My research showed that these women might make less usual birth choices, from elective caesarean births to 'freebirths' (choosing to birth without a midwife or other medical professional present), and that they researched these choices very carefully. It also showed that these women benefitted from certain kinds of care, including continuity of carer, and making a birth plan early in their pregnancy. To reach the largest audience, I will publish my findings in three ways - through peer reviewed articles, at conferences, and in publications aimed at a lay audience. The themes of the articles and conference presentations will be related: - Birth plans for women who have previously had a traumatic birth - Relationships between women and midwives after a traumatic birth The journals that I publish my articles in and the conferences I present my findings at will be chosen to create the biggest impact possible, and to cross academic disciplines. My research also used an unusual methodology, and a further article about how I dealt with the challenges of this will be published. The triennial International Midwives Confederation (ICM) conference is in summer 2020. The 2017 ICM conference was attended by over 4,500 people, from 113 countries. I will apply to run a workshop developing midwives skills in working with women affected by traumatic births, creating a great opportunity for my research to achieve a high impact. As well as publicising my findings to academics and professionals, I want to tell parents what I found. I will reach a wide audience of parents by using social media (for example Facebook and Twitter), and by writing a blog about my research. During the fellowship I will also draft some early plans for a book for parents, about pregnancy and birth after a previous traumatic birth. One purpose of this bridging Fellowship is to enable me to move into a post-doctoral academic career, and I would therefore develop external funding proposals during the fellowship. At this time I am interested in developing proposals relating to the areas of: - Lesbian women's experiences of traumatic birth - Freebirth - Independent Midwifery In my doctoral research, three women considered 'freebirthing' (birthing without a midwife present). There has been a recent surge in media attention to freebirth, but no UK-wide data is collected. Adding to the confusion, the term is sometimes used to refer to situations where: - women choose not to have a midwife present - women want a midwife, but an appropriate service is not available - misjudgements of services required (for example when a baby is born before the arrival of a midwife at home, or where a baby is born enroute to a hospital). As part of this fellowship I would design and carry out a scoping review to identify the most pressing questions that research could answer about 'freebirth'. This review would also include defining the term 'freebirth', distinguishing the different reasons women might give birth without a midwife. A mixed methods online survey was carried out over 2 weeks between 10th and 24th April 2020. The survey was open to those in the third trimester of pregnancy, those who had given birth since the beginning of the “lockdown” period in the UK, and the partners of pregnant women and people who were in these circumstances. The survey asked questions about how respondents' holistic antenatal experiences had been affected, whether their plans for birth had changed, and the effect of these changes on respondents' emotional wellbeing. A follow-up survey administering a second psychometric test to those who had given birth (and consented to follow-up) was sent in July 2020. This consisted of an email with a link to a website containing the test questions, and recollection of demographic data.

Rank and count of the top names for baby boys, changes in rank since the previous year and breakdown by country, region, mother's age and month of birth.

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.

Secure Access QLFS data
Secure Access datasets for the QLFS are available from the April-June 1992 quarter, and include additional, detailed variables not included in the standard 'End User Licence' (EUL) versions (see under GN 33246). Extra variables that typically can be found in the Secure Access versions but not in the EUL relate to:

• geography (see 'Spatial Units' below)
• date of birth, including day
• education and training: including type of 'other qualifications', more detail regarding the number of O'levels/GCSE passes, type of qualification gained in last 12 months, class of first degree, type of degree held, UK country of highest degree, type of current educational institution, level of Welsh baccalaureate, activities to improve knowledge or skills in last 12 months, attendance at adult learning taught courses, attendance at leisure or educational classes, self-teaching, payment of job-related training fees
• household and family characteristics: including number of family units (and extended family units) with dependent children only, and with non-dependent children only, total number of family units with more than one person, total number of eligible people, type of household, type of family unit, number of bedrooms
• employment: including industry code of main job, whether working full-time or part-time, reason job is temporary, payment of own National Insurance and tax, when started working at previous job, whether paid or self-employed in previous job, contracts with employment agency
• unemployment and job hunting: including main reason for not being employed prior to current job, reasons for leaving job (provision of care or other personal/family reasons), use of internet for job hunting, if and when will work in the future
• temporary leave from work: including proportion of salary received and duration of leave
• accidents at work and work-related health problems
• nationality, national identity and country of birth: including whether lived continuously in UK, month of most recent arrival to UK, frequency of Welsh speaking
• occurrence of learning difficulty or disability
• benefits, including additional variables on type of benefits claimed and tax credit payments

Secure Access versions of QLFS household datasets are available from 2009 under SN 7674.

Prospective users of a Secure Access version of the QLFS will need to fulfil additional requirements, commencing with the completion of an extra application form to demonstrate to the data owners exactly why they need access to the extra, more detailed variables, in order to obtain permission to use that version. Secure Access users must also complete face-to-face training and agree to Secure Access' User Agreement (see 'Access' section below). Therefore, users are encouraged to download and inspect the EUL version of the data prior to ordering the Secure Access version.

Well-Being variables are not included in the LFS
Users should note that subjective well-being variables (Satis, Worth, Happy, Anxious and Sad) are not available on the LFS, despite being referenced in the questionnaire. Users who wish to analyse well-being variables should apply for the Annual Population Survey instead (see SNs 6721 and 7961).

LFS Documentation
The documentation available from the Archive to accompany LFS datasets largely consists of the relevant versions of each volume of the user guide. However, LFS volumes are updated periodically by ONS, so users are advised to check the ONS LFS 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.

The study documentation presented in the Documentation section includes the most recent documentation for the LFS only, due to available space. Documentation for previous years is provided alongside the data for access and is also available upon request.

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.

Latest Edition Information

For the thirty-ninth edition (July 2025), replacement data files covering Jan-March 2023 to April-June 2023, and new files for July-Sept 2023 to July-Sept 2024 have been added to the study. These new and replacement files include the Person Weight for 2024 (the Person Income Weight remains either 2022 or 2023).

The Annual Population Survey (APS) household datasets are produced annually and are available from 2004 (Special Licence) and 2006 (End User Licence). They allow production of family and household labour market statistics at local areas and for small sub-groups of the population across the UK. The household data comprise key variables from the Labour Force Survey (LFS) and the APS 'person' datasets. The APS household datasets include all the variables on the LFS and APS person datasets, except for the income variables. They also include key family and household-level derived variables. These variables allow for an analysis of the combined economic activity status of the family or household. In addition, they also include more detailed geographical, industry, occupation, health and age variables.

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 2022
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. None of ONS' headline statistics, other than those directly sourced from occupational data, are affected and you can continue to rely on their accuracy. 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 2022

End User Licence and Secure Access APS data
Users 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.

This data collection includes syntax needed to: (1) merge data and commands used for weighting data; (2) derive the sample for analysis 1 (same father-mother households s1-5); (3) derive father involvement (dependent) variables; (4) derive Independent variables; (5) derive mother’s annual pay; (6) derive the relationship breakdown variables for analysis 2. All variable manipulations were derived to explore i) paternal involvement in childcare and housework, and ii) the association between paternal involvement in childcare and relationship stability.One of the root causes of persistent gender inequalities in economic and political life is that women carry a heavier workload in the domestic domain where they still do most of the work involved in looking after children and other family members. Women's engagement in employment has risen over the last four decades but men's contribution to childcare and housework has grown more slowly. Sen's (1992) 'capability framework' elaborates how state and organisational policies, social norms, and household economic and demographic circumstances shape men and women's options, decisions and behaviours. This framework suggests there are many social, economic, demographic and cultural factors, which exert logistic pressures on the arrangement of the domestic division of labour in households. Yet the relative importance of these factors in shaping men's involvement in childcare remains under-researched and largely based on small-scale qualitative studies or cross-sectional survey data (Norman 2010; also see O'Brien 2005). Our earlier research (Norman 2010; Norman et al 2014; Norman and Elliot 2015) used the Millennium Cohort Study (MCS) to develop measures of paternal involvement in childcare when the child was aged nine months and three years old. We found the mothers' employment hours had the strongest association with paternal involvement: if the mother worked full-time both nine months and three years after the child's birth then the father was more likely to be an involved parent when the child was aged three. Fathers were also more likely to be involved when the child was aged three if (i) they worked shorter hours in employment and (ii) if they were involved in childcare nine months after the child's birth; but the effect of both these variables was significantly weaker than that of the mothers' employment hours. This research project will build on this analysis, using the MCS, by developing more measures of paternal involvement in childcare to establish which employment and socio-demographic characteristics shape paternal involvement as children age from nine months to eleven years old. Part of the analysis will focus on intact households to remove the confounding impact of relationship breakdown. We will also analyse the relationship between paternal involvement and the probability of households remaining intact given previous research has found a correlation between paternal involvement and the quality of a couple relationship (e.g. Poole et al. 2014). The research questions to be addressed are: 1. How can we develop measures of paternal involvement over time as the child develops? 2. What are the key employment, socio-demographic, and attitudinal characteristics of fathers in the UK who report involved parenting behaviour when their child is aged 9 months, 3, 5, 7 and 11 years old? 3. Do trajectories of paternal involvement over the child's lifecourse vary between fathers and if so, what are the predictors? 4. Does paternal involvement when the child is aged nine months predict whether a household is still intact when the child reaches age eleven? In examining these questions, the project aims to contribute to scholarly and policy debates about what encourages or impedes fathers' involvement in providing care for their children. It will make an original contribution to the literature on parental involvement by using a representative sample of fathers to develop measures of paternal involvement, identify differences among fathers and explore how their involvement develops as the child grows older. This is particularly relevant in light of the growing attention to fathers within policy debates about work-family issues across Europe (e.g. European Union 2013), including UK policy, where the introduction of shared parental leave is the most recent reform designed to provide better support for fathers and their involvement in childcare (BIS 2014). The UK’s Millennium Cohort Study - managed by the Centre for Longitudinal Studies - is a nationally representative survey following a cohort of children born around the year 2000 using a clustered, disproportionately stratified sampling design. The first sweep (2001/02), covers a cohort of 18,819 babies aged nine months (raised in 18,552 families). The second sweep (2003/04) followed the same cohort of children, plus 692 newly recruited families resulting in an overall, combined sample size of 19,244 households - although only 15,590 households were productive. Sweep 3 (2006) includes 15,246 productive households, sweep 4 (2008) includes 13,857 productive households and sweep 5 (2012) includes 13,287 productive households (see Hansen 2014: A Guide to the Datasets, 8th edition - available via www.cls.ioe.ac.uk). For the first part of our analysis, we filtered the sample to include only the same, two-parent households - containing a mother and a father - over the five sweeps of data. This reduced the sample size to 5,882 households. This allowed us to explore paternal involvement trajectories over the five sweeps of data. For the second part of our analysis, we filtered the sample to include all two-parent households - containing a mother and a father - in sweep one, which reduced the sample size to 13,411. This part of the analysis focused on exploring relationship trajectories between the parents, in particular relationship breakdown, over the four sweeps of data.

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. Secure Access QLFS data Secure Access datasets for the QLFS are available from the April-June 1992 quarter, and include additional, detailed variables not included in the standard 'End User Licence' (EUL) versions (see under GN 33246). Extra variables that typically can be found in the Secure Access versions but not in the EUL relate to:geography (see 'Spatial Units' below)date of birth, including dayeducation and training: including type of 'other qualifications', more detail regarding the number of O'levels/GCSE passes, type of qualification gained in last 12 months, class of first degree, type of degree held, UK country of highest degree, type of current educational institution, level of Welsh baccalaureate, activities to improve knowledge or skills in last 12 months, attendance at adult learning taught courses, attendance at leisure or educational classes, self-teaching, payment of job-related training feeshousehold and family characteristics: including number of family units (and extended family units) with dependent children only, and with non-dependent children only, total number of family units with more than one person, total number of eligible people, type of household, type of family unit, number of bedroomsemployment: including industry code of main job, whether working full-time or part-time, reason job is temporary, payment of own National Insurance and tax, when started working at previous job, whether paid or self-employed in previous job, contracts with employment agencyunemployment and job hunting: including main reason for not being employed prior to current job, reasons for leaving job (provision of care or other personal/family reasons), use of internet for job hunting, if and when will work in the futuretemporary leave from work: including proportion of salary received and duration of leaveaccidents at work and work-related health problemsnationality, national identity and country of birth: including whether lived continuously in UK, month of most recent arrival to UK, frequency of Welsh speakingoccurrence of learning difficulty or disabilitybenefits, including additional variables on type of benefits claimed and tax credit paymentsSecure Access versions of QLFS household datasets are available from 2009 under SN 7674. Prospective users of a Secure Access version of the QLFS will need to fulfil additional requirements, commencing with the completion of an extra application form to demonstrate to the data owners exactly why they need access to the extra, more detailed variables, in order to obtain permission to use that version. Secure Access users must also complete face-to-face training and agree to Secure Access' User Agreement (see 'Access' section below). Therefore, users are encouraged to download and inspect the EUL version of the data prior to ordering the Secure Access version. Well-Being variables are not included in the LFS Users should note that subjective well-being variables (Satis, Worth, Happy, Anxious and Sad) are not available on the LFS, despite being referenced in the questionnaire. Users who wish to analyse well-being variables should apply for the Annual Population Survey instead (see SNs 6721 and 7961). LFS Documentation The documentation available from the Archive to accompany LFS datasets largely consists of the relevant versions of each volume of the user guide. However, LFS volumes are updated periodically by ONS, so users are advised to check the ONS LFS 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.The study documentation presented in the Documentation section includes the most recent documentation for the LFS only, due to available space. Documentation for previous years is provided alongside the data for access and is also available upon request. 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.Latest Edition InformationFor the thirty-eighth edition (October 2023), a new data file for April-June 2023 and a new 2023 variable catalogue have been added to the study. Main Topics: The QLFS questionnaire comprises a 'core' of questions which are included in every survey, together with some 'non-core' questions which vary from quarter to quarter. The questionnaire can be split into two main parts. The first part contains questions on the respondent's household, family structure, basic housing information and demographic details of household members. The second part contains questions covering economic activity, education and health, and also may include a few questions asked on behalf of other government departments (for example the Department for Work and Pensions and the Home Office). Until 1997, the questions on health focussed on problems that affect the respondent's work. Since then, the questions have covered all health problems. Detailed questions on income have also been included in each quarter since 1993. The basic questionnaire is revised each year, and a new version published, along with a transitional version that details changes from the previous year's questionnaire. Four sampling frames are used. See documentation for details.

Maternity Services Monthly Statistics January 2022, experimental statistics This is a report on NHS-funded maternity services in England for January 2022, using data submitted to the Maternity Services Data Set (MSDS). This is the latest report from the new version of the data set, MSDSv2. The new data set is a significant change which adds support for key policy initiatives such as personalised care plans and continuity of carer, as well as increased flexibility through the introduction of new clinical coding. This is a major change, so data quality and coverage has reduced from the levels seen in previous publications. The data derived from SNOMED codes is still being developed. We have included data on smoking at booking and birth weight and others such as BMI and alcohol consumption will follow in later publications. SNOMED data is also included in some of the published Clinical Quality Improvement Metrics (CQIMs) where rules have been applied to ensure rates are calculated only where data quality is high enough. System suppliers are at different stages of developing their new solution and delivering that to trusts. In some cases this has limited the aspects of data that could be submitted to NHS Digital. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website. Updated versions of these files were added to this publication on 22 June 2022 to include a correction to the Ethnicity DQ outputs, as 32 providers had previously been incorrectly showing in the files as having met this criteria when they had not.

This dataset is an analysis of the long-term migrant population of England and Wales by country of birth, passports held and other characteristics based on Census 2021.

Usual resident

A usual resident is anyone who on Census Day, 21 March 2021 was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

Country of birth

The country in which a person was born. The following country of birth classifications are used in this dataset:

• Country of birth 12a: Political groupings of countries by EU membership and geographical location for non-EU countries.
• Country of birth 190a: Individual countries. This classification includes geographical groupings for low volume countries.
• Country of birth (3 categories): These categories have been derived from country of birth 12a and include all UK countries in "Europe: United Kingdom", all EU countries in "Europe: EU countries" and all remaining countries including British Overseas territories in "Non-EU countries (including British Overseas)".

Country of birth classifications

Passports held

The country or countries that a person holds, or is entitled to hold, a passport for. Where a person recorded having more than one passport, they were counted only once, categorised in the following priority order: 1. UK passport, 2. Irish passport, 3. Other passport.

The following classifications were created for this dataset for comparability with other international migration releases:

• Passports held (4 categories): High level political groupings of passport held by EU membership and geographical location for non-EU countries.
• Passports held (12 categories): Political groupings of passport held by EU membership and geographical location for non-EU countries.
• Passports held (150 categories): Individual countries for passport held. This classification includes geographical groupings for low volume countries.

Alternate passports held classifications

Economic activity status

The economic activity status of a person on Census Day, 21 March 2021. The following classification was created for this dataset:

• Economic activity status (6 categories): These categories have been derived from the base classification to create employed, self-employed, unemployed (seeking work), economically inactive students and economically active other groups.

Students who are economically active are included in either the Employee, Self-employed, or Unemployed (Looking for work) category

Economic activity status classifications

Industry

The industry worked in for those in current employment. The following classification was used for this dataset:

• Industry (current) classification 22a

Industry classifications

Census 2021 data on international student population of England and Wales by country of birth, passport held, age, sex and other characteristics.

These datasets are part of the release: The changing picture of long-term international migration, England and Wales: Census 2021. Figures may differ slightly in future releases because of the impact of removing rounding and applying further statistical processes.

Figures are based on geography boundaries as of 1 April 2022.

This release includes comparisons to the folllowing 2011 Census data:

• Students in full-time education
• International students (by Region)
• International students by country of birth
• International students by Top 100 countries of birth

Quality notes can be found here

Quality information about demography and migration can be found here

Quality information about labour market can be found here

Usual resident

A usual resident is anyone who on Census Day, 21 March 2021 was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

International student

An international student is defined as someone who was a usual resident in England and Wales and meets all the following criteria:

• in-full-time education
• non-UK-born
• non-UK passport holder
• aged 17 years or over upon most recent arrival in the UK
• aged 18 years or over on Census Day.

Country of birth

The country in which a person was born. The following country of birth classifications are used in this dataset:

• Country of birth 12a: Political groupings of countries by EU membership and geographical location for non-EU countries.
• Country of birth 190a: Individual countries. This classification includes geographical groupings for low volume countries.
• Country of birth (3 categories): These categories have been derived from country of birth 12a and include all UK countries in "Europe: United Kingdom", all EU countries in "Europe: EU countries" and all remaining countries including British Overseas territories in "Non-EU countries (including British Overseas)".

More information about country of birth classifications can be found here.

Passports held

The country or countries that a person holds, or is entitled to hold, a passport for. Where a person recorded having more than one passport, they were counted only once, categorised in the following priority order: 1. UK passport, 2. Irish passport, 3. Other passport. The following classifications were created for this dataset for comparability with other international migration releases:

• Passports held (4 categories): High level political groupings of passport held by EU membership and geographical location for non-EU countries.
• Passports held (12 categories): Political groupings of passport held by EU membership and geographical location for non-EU countries.
• Passports held (150 categories): Individual countries for passport held. This classification includes geographical groupings for low volume countries.

More information can be found here

Economic activity status

The economic activity status of a person on Census Day, 21 March 2021. The following classification is used in this dataset:

• Economic activity status classification status_12a

Industry

The industry worked in for those in current employment. The following classification was used for this dataset:

• Industry (current) classification 22a

Student accommodation

Student accommodation breaks down household type by typical households used by students. This includes communal establishments, all student households, households containing a single family, households containing multiple families, living with parents and living alone.

More information can be found here

Second address indicator

The second address indicator is used to define an address (in or out of the UK) a person stays at for more than 30 days per year that is not their place of usual residence. Second addresses typically include: armed forces bases, addresses used by people working away from home, a student’s home address, the address of another parent or guardian, a partner’s address, a holiday home. There are 3 categories in this classification.

Detailed description can be found here

Main language (detailed)

This is used to define a person's first or preferred language. This breaks down the responses given in the write-in option "Other, write in (including British Sign Language)". There are 95 categories in the primary classification.

More details can be found here

Proficiency in English language

Proficiency in English language is used to determine how well a person whose main language is not English (English or Welsh in Wales) feels they can speak English. There are a total number of 6 categories in this classification.

More details can be found here