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This statistical release makes available the most recent Mental Health and Learning Disabilities Dataset (MHLDDS) final monthly data (September 2015). This publication presents a wide range of information about care delivered to users of NHS funded secondary mental health and learning disability services in England. The scope of the Mental Health Minimum Dataset (MHMDS) was extended to cover Learning Disability services from September 2014. Many people who have a learning disability use mental health services and people in learning disability services may have a mental health problem. This means that activity included in the new MHLDDS dataset cannot be distinctly divided into mental health or learning disability spells of care - a single spell of care may include inputs from either of both types of service. The Currencies and Payment file that forms part of this release is specifically limited to services in scope for currencies and payment in mental health services and remains unchanged. This information will be of particular interest to organisations involved in delivering secondary mental health and learning disability care to adults and older people, as it presents timely information to support discussions between providers and commissioners of services. The MHLDS Monthly Report also includes reporting by local authority for the first time. For patients, researchers, agencies, and the wider public it aims to provide up to date information about the numbers of people using services, spending time in hospital and subject to the Mental Health Act (MHA). Some of these measures are currently experimental analysis. The Currency and Payment (CaP) measures can be found in a separate machine-readable data file and may also be accessed via an on-line interactive visualisation tool that supports benchmarking. This can be accessed through the related links at the bottom of the page. This release also includes a note about the new experimental data file and the issuing of the ISN for the Mental Health Services Dataset (MHSDS). During summer 2015 we undertook a consultation on Adult Mental Health Statistics, seeking users views on the existing reports and what might usefully be added to our reports when the new version of the dataset (MHSDS) is implemented in 2016. A report on this consultation can be found below. Please note: The Monthly MHLDS Report published in February will cover November final data and December provisional data and will be the last publication from MHLDDS. Data for January 2016 will be published under the new name of Mental Health Services Monthly Statistics, with a first release of provisional data planned for March 2016. A Methodological Change paper describing changes to these monthly reports will be issued in the New Year.
A file containing all Misc Baseline Reports for 2018-2023 in their original format is available in the Attachments section below.
MEDLINE/PubMed annual statistical reports are based upon the data elements in the baseline versions of MEDLINE®/PubMed are available. For each year covered the reports include: total citations containing each element; total occurrences of each element; minimum/average/maximum occurrences of each element in a record; minimum/average/maximum length of a single element occurrence; average record size; and other statistical data describing the content and size of the elements.
This data report presents oceanographic observations made in Massachusetts Bay in August 1998 as part of the Massachusetts Bay Internal Wave Experiment (MBIWE98). MBIWE98 was carried out to characterize large-amplitude internal waves in Massachusetts Bay and to investigate the possible resuspension and transport of bottom sediments caused by these waves. This data report presents a description of the field program, an overview of the data through summary plots and statistics, and the time-series data in NetCDF format. The objective of this report is to make the data available in digital form and to provide summary plots and statistics to facilitate browsing of the data set.
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Archive file statistics form......................
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Taxable income decile tax after income declaration statistical analysis form unit: amount (thousand yuan)
The Justice Data Lab has been launched as a pilot for one year from April 2013. During this year, a small team from Analytical Services within the Ministry of Justice will support organisations that provide offender services by allowing them easy access to aggregate re-offending data, specific to the group of people they have worked with. This will support organisations in understanding their effectiveness at reducing re-offending.
The service model involves organisations sending the Justice Data Lab team details of the offenders they have worked with along with information about the specific intervention they have delivered. The Justice Data Lab team then matches these offenders to MoJ’s central datasets and returns the re-offending rate of this particular cohort, alongside that of a control group of offenders with very similar characteristics in order to better identify the impact of the organisation’s work.
There are three publication types:
In future, the “Summary of findings to date” will contain only findings being published within the reporting round. All findings to date will continue to be published in the more accessible tables format. We welcome any feedback on this change, or on the Justice Data Lab Statistics more generally.
For further information about the Justice Data Lab, please refer to the http://www.justice.gov.uk/justice-data-lab" class="govuk-link">following guidance
To date, the Justice Data Lab has received 82 requests for re-offending information, including 57 reports which have already been published. A further 2 are now complete and ready for publication, bringing the total of completed reports to 59.
To date, there have been 13 requests that could not be processed as the minimum criteria for analyses through the Data Lab had not been met, and one further request that was withdrawn by the submitting organisation. The remaining requests will be published in future monthly releases of these statistics.
Of the 2 reports being published this month:
Reasons for an inconclusive result include; the sample of individuals provided by the organisation was too small to detect a statistically significant change in behaviour; or that the service or programme genuinely does not affect re-offending behaviour. However, it is very difficult to differentiate between these reasons in the analysis, so the organisations are recommended to submit larger samples of data when it becomes available. Detailed discussion of results and interpretation is available in the individual reports.
In March 2014 we announced that the Justice Data Lab will continue to be piloted for another year. We are keen that the Justice Data Lab service continues to improve and, following feedback from users and internal consideration on our processes, we have specified a number of improvements that we intend to bring into the service over the next year. These improvements, as well as recommendations for users of the service are discussed in detail in the document “Justice Data Lab; The pilot year” which was published alongside the summary statistics for March 2014.
The bulletin is produced and handled by the Ministry’s analytical professionals and production staff. Pre-release access of up to 24 hours is granted to the following persons: Ministry of Justice Secretary of State, Parliamentary Under Secretary of State, Permanent Secretary, Director of Sentencing and Rehabilitation Policy unit, relevant Policy Advisers
U.S. Government Workshttps://www.usa.gov/government-works
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Series of Incident data and summary statistics reports produced which provide statistical information on incidents by type, year, geographical location, and others. The data provided is that from the Hazardous Materials Incident Report Form 5800.1
The Taking Part survey has run since 2005 and is the key evidence source for DCMS. It is a continuous face to face household survey of adults aged 16 and over in England and children aged 5 to 15 years old.
As detailed in the last statistical release and on our consultation pages in March 2013, the responsibility for reporting Official Statistics on adult sport participation now falls entirely with Sport England. Sport participation data are reported on by Sport England in the Active People Survey.
21 July 2016
April 2015 to March 2016
National and Regional level data for England
A series of “Taking Part, Focus on…” reports will be published in October 2016. Each ‘short story’ in this series will look at a specific topic in more detail, providing more in-depth analysis of the 2015/16 Taking Part data.
The Taking Part survey provides reliable national estimates of adult engagement with the arts, heritage, museums, archives and libraries. Latest data are from April 2015 to March 2016.
The report also looks at some of the other measures in the survey that provide estimates of volunteering and charitable giving and digital engagement.
The Taking Part survey is a continuous annual survey of adults and children living in private households in England, and carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
These spreadsheets contain the data and sample sizes to support the material in this release.
The previous adult biannual Taking Part release was published on 17th December 2015 and the previous child Taking Part annual release was published on 23rd July 2015. Both releases also provide spreadsheets containing the data and sample sizes for each sector included in the survey. A series of short story reports was also released on 28th April 2016.
The document above contains a list of ministers and officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours.
This release is published in accordance with the Code of Practice for Official Statistics (2009), as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The latest figures in this release are based on data that was first published on 21st July 2016. Details on the pre-release access arrangements for this dataset are available in the accompanying material for the previous release.
The responsible statistician for this release is Helen Miller-Bakewell. For enquiries on this release, contact Helen Miller-Bakewell on 020 7211 6355 or Mary Gregory 020 7211 2377.
For any queries contact them or the Taking Part team at takingpart@culture.gov.uk
The 1997 Jordan Population and Family Health Survey (JPFHS) is a national sample survey carried out by the Department of Statistics (DOS) as part of its National Household Surveys Program (NHSP). The JPFHS was specifically aimed at providing information on fertility, family planning, and infant and child mortality. Information was also gathered on breastfeeding, on maternal and child health care and nutritional status, and on the characteristics of households and household members. The survey will provide policymakers and planners with important information for use in formulating informed programs and policies on reproductive behavior and health.
National
Sample survey data
SAMPLE DESIGN AND IMPLEMENTATION
The 1997 JPFHS sample was designed to produce reliable estimates of major survey variables for the country as a whole, for urban and rural areas, for the three regions (each composed of a group of governorates), and for the three major governorates, Amman, Irbid, and Zarqa.
The 1997 JPFHS sample is a subsample of the master sample that was designed using the frame obtained from the 1994 Population and Housing Census. A two-stage sampling procedure was employed. First, primary sampling units (PSUs) were selected with probability proportional to the number of housing units in the PSU. A total of 300 PSUs were selected at this stage. In the second stage, in each selected PSU, occupied housing units were selected with probability inversely proportional to the number of housing units in the PSU. This design maintains a self-weighted sampling fraction within each governorate.
UPDATING OF SAMPLING FRAME
Prior to the main fieldwork, mapping operations were carried out and the sample units/blocks were selected and then identified and located in the field. The selected blocks were delineated and the outer boundaries were demarcated with special signs. During this process, the numbers on buildings and housing units were updated, listed and documented, along with the name of the owner/tenant of the unit or household and the name of the household head. These activities took place between January 7 and February 28, 1997.
Note: See detailed description of sample design in APPENDIX A of the survey report.
Face-to-face
The 1997 JPFHS used two questionnaires, one for the household interview and the other for eligible women. Both questionnaires were developed in English and then translated into Arabic. The household questionnaire was used to list all members of the sampled households, including usual residents as well as visitors. For each member of the household, basic demographic and social characteristics were recorded and women eligible for the individual interview were identified. The individual questionnaire was developed utilizing the experience gained from previous surveys, in particular the 1983 and 1990 Jordan Fertility and Family Health Surveys (JFFHS).
The 1997 JPFHS individual questionnaire consists of 10 sections: - Respondent’s background - Marriage - Reproduction (birth history) - Contraception - Pregnancy, breastfeeding, health and immunization - Fertility preferences - Husband’s background, woman’s work and residence - Knowledge of AIDS - Maternal mortality - Height and weight of children and mothers.
Fieldwork and data processing activities overlapped. After a week of data collection, and after field editing of questionnaires for completeness and consistency, the questionnaires for each cluster were packaged together and sent to the central office in Amman where they were registered and stored. Special teams were formed to carry out office editing and coding.
Data entry started after a week of office data processing. The process of data entry, editing, and cleaning was done by means of the ISSA (Integrated System for Survey Analysis) program DHS has developed especially for such surveys. The ISSA program allows data to be edited while being entered. Data entry was completed on November 14, 1997. A data processing specialist from Macro made a trip to Jordan in November and December 1997 to identify problems in data entry, editing, and cleaning, and to work on tabulations for both the preliminary and final report.
A total of 7,924 occupied housing units were selected for the survey; from among those, 7,592 households were found. Of the occupied households, 7,335 (97 percent) were successfully interviewed. In those households, 5,765 eligible women were identified, and complete interviews were obtained with 5,548 of them (96 percent of all eligible women). Thus, the overall response rate of the 1997 JPFHS was 93 percent. The principal reason for nonresponse among the women was the failure of interviewers to find them at home despite repeated callbacks.
Note: See summarized response rates by place of residence in Table 1.1 of the survey report.
The estimates from a sample survey are subject to two types of errors: nonsampling errors and sampling errors. Nonsampling errors are the result of mistakes made in implementing data collection and data processing (such as failure to locate and interview the correct household, misunderstanding questions either by the interviewer or the respondent, and data entry errors). Although during the implementation of the 1997 JPFHS numerous efforts were made to minimize this type of error, nonsampling errors are not only impossible to avoid but also difficult to evaluate statistically.
Sampling errors, on the other hand, can be evaluated statistically. The respondents selected in the 1997 JPFHS constitute only one of many samples that could have been selected from the same population, given the same design and expected size. Each of those samples would have yielded results differing somewhat from the results of the sample actually selected. Sampling errors are a measure of the variability among all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.
A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.
If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, since the 1997 JDHS-II sample resulted from a multistage stratified design, formulae of higher complexity had to be used. The computer software used to calculate sampling errors for the 1997 JDHS-II was the ISSA Sampling Error Module, which uses the Taylor linearization method of variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics, such as fertility and mortality rates.
Note: See detailed estimate of sampling error calculation in APPENDIX B of the survey report.
Data Quality Tables - Household age distribution - Age distribution of eligible and interviewed women - Completeness of reporting - Births by calendar years - Reporting of age at death in days - Reporting of age at death in months
Note: See detailed tables in APPENDIX C of the survey report.
The objective of this statistical report is to inidicate the total number of births and deaths registered for the period 2012. Registered births and deaths data for all the 10 regions were captured in this report.The results indicate that a total of 475731 births were registered representing 60 per cent coverage while a total of 54551 deaths were registered representing 21 per cent coverage.
National
Individual births and death records
individual informant reporting the event for registration
Event/transaction data [evn]
All children born between age 0 to 12 months
No deviations form of sample design reported
Face-to-face [f2f]
Two questinnaire were used, the birth and death registration formA and the birth and death registration form B
Manual and electronic verification
No estimates of sampling error
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Presents trends in selected statistics from 2005-2014. The Perinatal Statistics Report 2014 is a report on national data on Perinatal events in 2014. Information on every birth in the Republic of Ireland is submitted to the National Perinatal Reporting System (NPRS). All births are notified and registered on a standard four part birth notification form (BNF01) which is completed where the birth takes place. Part 3 of this form is sent to the HPO for data entry and validation. The information collected includes data on pregnancy outcomes (with particular reference to perinatal mortality and important aspects of perinatal care), as well as descriptive social and biological characteristics of mothers giving birth. See the complete Perinatal Statistics Report 2014 at http://www.hpo.ie/latest_hipe_nprs_reports/NPRS_2014/Perinatal_Statistics_Report_2014.pdf
These tables are restricted to taxpayers only.
The statistics are produced from the Survey of Personal Incomes (SPI), an annual sample survey carried out by HMRC that covers income assessable to Income Tax for each tax year and is based on information held by HMRC on individuals who could be liable to UK Income Tax.
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This is a monthly report on publicly funded community services for children, young people and adults using data from the Community Services Data Set (CSDS) reported in England for December 2017. The CSDS is a patient-level dataset providing information relating to publicly funded community services for children, young people and adults. These services can include health centres, schools, mental health trusts, and health visiting services. The data collected includes personal and demographic information, diagnoses including long-term conditions and disabilities and care events plus screening activities. It has been developed to help achieve better outcomes for children, young people and adults. It provides data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. Prior to October 2017, the predecessor Children and Young People's Health Services (CYPHS) Data Set collected data for children and young people aged 0-18. The CSDS superseded the CYPHS data set to allow adult community data to be submitted, expanding the scope of the existing data set by removing the 0-18 age restriction. The structure and content of the CSDS remains the same as the previous CYPHS data set. Further information about the CYPHS and related statistical reports is available from https://digital.nhs.uk/data-and-information/data-collections-and-data-sets/data-sets/children-and-young-people-s-health-services-data-set References to children and young people covers records submitted for 0-18 year olds and references to adults covers records submitted for those aged over 18. Where analysis for both groups have been combined, this is referred to as all patients. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. This month's statistical release also includes a separate quarterly analysis focusing on 6-8 week breastfeeding status and 24, 27 and 30 month Ages and Stages (ASQ-3) scoring, October - December 2017. This file has been revised and is available as part of the March 2018 publication. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use this form to provide us with any feedback or suggestions for improving the report.
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Presents the distribution of TOTAL live births for 2014 by Mothers County of Residence and Infant’s Type of Feeding. This table outlines data for total live births, excluding early neonatal deaths. The Perinatal Statistics Report 2014 is a report on national data on Perinatal events in 2014. Information on every birth in the Republic of Ireland is submitted to the National Perinatal Reporting System (NPRS). All births are notified and registered on a standard four part birth notification form (BNF01) which is completed where the birth takes place. Part 3 of this form is sent to the HPO for data entry and validation. The information collected includes data on pregnancy outcomes (with particular reference to perinatal mortality and important aspects of perinatal care), as well as descriptive social and biological characteristics of mothers giving birth. See the complete Perinatal Statistics Report 2014 at http://www.hpo.ie/latest_hipe_nprs_reports/NPRS_2014/Perinatal_Statistics_Report_2014.pdf
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The Lao Social Indicator Survey (LSIS) II conducted in 2016-2017 is a nation-wide household based survey with a sample size of 23,400, covering all 18 provinces. It aims to generate data at provincial level disaggregated by age, residence, sex, wealth quantile and ethnic groups. This report is a summary report of key findings from LSISII as well as presenting some statistical snapshots. For the detail report, please kindly refer to the large report which provide details of data and information of LSISII.
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Insurance agent business statistics form (annual report)
This publication contains a series of tables about the company cars provided as benefits in kind to employees by employers. These tables show the number of recipients of such benefits, the taxable value of the benefits and the Income Tax and National Insurance contributions (NIC) liabilities on them. Breakdowns are provided by income level of the recipient and by the Carbon Dioxide (CO2) emission level and fuel type of the vehicle.
Company car statistics are provided for 2017 to 2018 alongside earlier years. Provisional information for 2018 to 2019 has also been included in this publication.
Figures are based on two sources of data on company cars:
P11D forms returned by employers after the end of the tax year
company cars reported by employers in Real-Time Information submissions (from tax year 2017 to 2018 onwards)
Company cars with zero tax liability (for example when an employee’s contribution reduces the taxable benefit to zero), are not included in these tables. Nor do the tables include cars belonging to companies which are not made available for employees’ private use. Individuals interested in the number of cars registered to companies (and not necessarily liable to tax) may wish to use the Department for Transport’s Vehicle Licensing Statistics.
These statistics are produced annually.
The background documentation provides further details of the tax and National Insurance treatment of company cars, describes the data sources and modelling and projection methods and describes the completeness and accuracy of the data used.
Previous versions of this publication have covered the full range of taxable benefits in kind, based on information provided to HMRC by employers through P11D forms.
In last year’s publication we advised users that the growing incompleteness in the data caused by voluntary payrolling was affecting the viability of this series of statistics.
As of April 2016, employers who register for voluntary payrolling of benefits in kind no longer have to report them to HMRC on P11D forms. Where the benefit in question is a company car it still has to be reported to HMRC in Real-Time Information (RTI) submissions, but there is no corresponding reporting obligation for other benefits in kind. In last year’s publication we advised users that the growing incompleteness in the data caused by voluntary payrolling was affecting the viability of this series of statistics.
After a review we have concluded that from now on this publication should report only company cars, in respect of which a full reporting requirement to HMRC still exists.
Previous versions of these statistics were designated as National Statistics. As of this publication the statistics have been reclassified as Experimental Statistics. The new designation is intended to represent the fact that these statistics now draw on new data sources, that the methodology for using this data is still being tested and remains subject to modification and further evaluation.
A user engagement exercise has also been opened to better understand how the removal of non-company car benefits from these statistics will affect users, and to seek suggestions on how these statistics can be improved.
HMRC is committed to providing impartial quality statistics that meet users’ needs. We encourage our users to engage with us so we can improve our official statistics and identify gaps in them. If you would like to comment on these statistics or have any questions on them please contact the statistical contact named at the end of this section.
Alongside this publication we are undertaking a user engagement exercise to gather comments on the restriction to company cars and also ideas on how the tables could be improved. The closing date for comments is 31st December 2020.
We undertake to review user comments on a regular basis and use this information to influence the development of our official statistics. We will summarise and publish user comments at regular intervals.
The published statistics will be revised only if an error is discovered in the survey data or modelling. Projections will be revised at each publication until full admini
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Presents the distribution of TOTAL live births for 2015 by Mothers County of Residence and Infant’s Type of Feeding. This table outlines data for total live births, excluding early neonatal deaths. The Perinatal Statistics Report 2015 is a report on national data on Perinatal events in 2015. Information on every birth in the Republic of Ireland is submitted to the National Perinatal Reporting System (NPRS). All births are notified and registered on a standard four part birth notification form (BNF01) which is completed where the birth takes place. Part 3 of this form is sent to the HPO for data entry and validation. The information collected includes data on pregnancy outcomes (with particular reference to perinatal mortality and important aspects of perinatal care), as well as descriptive social and biological characteristics of mothers giving birth. See the complete Perinatal Statistics Report 2015 at http://www.hpo.ie/latest_hipe_nprs_reports/NPRS_2015/Perinatal_Statistics_Report_2015.pdf
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HVAC Industry Analysis - Forecast Period 2023-2027
The HVAC market is predicted to grow at a CAGR of 6.5% during the forecast period 2022-2027 by Technavio data and research experts. This market research report also predicts the statistics about the market size growth that will grow by USD 74.02 billion. There are several key factors that directly influence the HVAC market growth such as growing construction sector, the growing demand for the condensing boilers, and rising demand for the refurbishment and replacement.
The predicted growth momentum seems incremental thus gives a positive outlook for the market as well as its respective investors. Consequently, such market conditions will further reinforce the position of vendors in the market.
Our researchers conclude the statistical predictions about some key market drivers via thorough data and information analysis. One such market driver is a significant growth in the construction sector, and it turns into one of the reasons for the HVAC market growth. Although there are other factors such as lesser availability of skilled labour may affect the market growth negatively.
Additionally, there are some key vendors operating in the market, listed below:
Arkema Group
Honeywell International Inc.
Daikin Industries Ltd.
Fujitsu General Ltd.
Emerson Electric Co.
Gree Electric
Danfoss AS
Haier Smart Home Co. Ltd.
The HVAC market analysis is illustrated in the given statistic report. However, you can also avail the subscription to cutting-edge market intelligence and lifetime access to 17,000+ market reports. So, don’t miss out on the latest market updates and upcoming trends analysis.
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The Report Covers Global CDP Market Statistics & Companies. The Market is Segmented by Deployment Mode (Cloud, On-Premise), Organization Size (Small & Medium Enterprises, Large Enterprises), End-User (Retail & E-Commerce, BFSI, Media & Entertainment, IT & Telecommunication, Healthcare), and Geography. The Market Sizes and Forecasts are in Terms of Value (USD) for all the Above Segments.
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This statistical release makes available the most recent Mental Health and Learning Disabilities Dataset (MHLDDS) final monthly data (September 2015). This publication presents a wide range of information about care delivered to users of NHS funded secondary mental health and learning disability services in England. The scope of the Mental Health Minimum Dataset (MHMDS) was extended to cover Learning Disability services from September 2014. Many people who have a learning disability use mental health services and people in learning disability services may have a mental health problem. This means that activity included in the new MHLDDS dataset cannot be distinctly divided into mental health or learning disability spells of care - a single spell of care may include inputs from either of both types of service. The Currencies and Payment file that forms part of this release is specifically limited to services in scope for currencies and payment in mental health services and remains unchanged. This information will be of particular interest to organisations involved in delivering secondary mental health and learning disability care to adults and older people, as it presents timely information to support discussions between providers and commissioners of services. The MHLDS Monthly Report also includes reporting by local authority for the first time. For patients, researchers, agencies, and the wider public it aims to provide up to date information about the numbers of people using services, spending time in hospital and subject to the Mental Health Act (MHA). Some of these measures are currently experimental analysis. The Currency and Payment (CaP) measures can be found in a separate machine-readable data file and may also be accessed via an on-line interactive visualisation tool that supports benchmarking. This can be accessed through the related links at the bottom of the page. This release also includes a note about the new experimental data file and the issuing of the ISN for the Mental Health Services Dataset (MHSDS). During summer 2015 we undertook a consultation on Adult Mental Health Statistics, seeking users views on the existing reports and what might usefully be added to our reports when the new version of the dataset (MHSDS) is implemented in 2016. A report on this consultation can be found below. Please note: The Monthly MHLDS Report published in February will cover November final data and December provisional data and will be the last publication from MHLDDS. Data for January 2016 will be published under the new name of Mental Health Services Monthly Statistics, with a first release of provisional data planned for March 2016. A Methodological Change paper describing changes to these monthly reports will be issued in the New Year.