Echinus esculentus is the subject of a small scale commercial fishery in the Isles of Scilly. Collection is by diving during the winter months, and during 1983/84 it is estimated that a total of 71,000 to 83,000 individuals were taken from three shallow sublittoral areas. This report presents the results of a survey of selected E esculentus populations in the Isles of Scilly during September 1984. 7 areas were sampled, 3 of which are categorised as fished, and 4 as unfished. Within these 7 sampling areas, 28 dives were made and locations recorded with a sighting compass. The mean site density of urchins ranged from 0.09/m2 to 0.56/m2, with an overall mean of 0.36/m2. There was no difference in density between fished and unfished sites. Individual diameters of E. esculentus ranged from 61 mm to 143 mm with an overall site mean of 103.98 mm. No recruitment of juveniles was noted, and all populations examined are senescent. Density and size structure of the populations of E. esculentus examined in the Isles of Scilly compare closely to results from other locations in south-west Britain. This does not necessarily suggest that there are no noticeable effects of fishing on the Scilly urchin populations, since many of these other locations have experienced collecting in the recent past. However at present there is no evidence of differing population characteristics in Scilly when comparing fished and unfished areas.

Echinus esculentus, normally the subject of a small scale commercial fishery in the Isles of Scilly during the winter months, was not collected during the winter of 1985/86. This report presents the results of the third survey of selected Echinus esculentus populations in the Isles of Scilly, which took place during September 1986. These are compared with data from the same sites obtained during September 1984 and 1985. Seven areas were sampled, four of which are classified as unfished and three as fished sites. Within each of the seven areas, sampling sites were located as closely as possible to those studied in the 1985 survey. The mean density of urchins ranges from 0.05/m2 to 0.49/m2. Within the precision of the methodology, these figures compare exactly to the range measured in 1985 (0.05/m2 to 0.40/m2). There is no significant difference in the density of urchins between fished and unfished sites. The mean diameter of E. esculentus ranged from 95 mm to 122 mm with an overall site mean of 105+2 mm (n = 12). This compares with a slightly lower and smaller range of 92 mm to 112 mm during 1985, but a similar overall site mean of 104+2 mm (n = 10). The mean diameter of urchins at unfished sites was smaller than that of fished sites (98+1, n = 4 and 107.6+2, n = 8 respectively), which was also true in both 1984 and 1985. No major physical changes have affected the sites since 1984, and the dominant fauna and flora appear to be unchanged. There is still no evidence of juvenile or young adult individuals (size <5 cm diameter) at the monitoring sites, although it is believed that juveniles are present at deeper sites which cannot be dived or remotely sampled within the remit of the present contract.

Cornwall and the Isles of Scilly were explored for grey seal breeding locations during the 1973 breeding season. The primary aim of this study was to revisit these recorded breeding sites, locate new ones and obtain an up-to-date estimate of the population. a secondary objective was to tag as many pups as possible to investigate relationships between different populations of seals. The database includes abundance of seals found and location according to National Grid Reference

Islands of Western Rocks, Isles of Scilly. name, geology, archipelago, Area, latitude, Length, waterbody, longitude, population, country

The Isles of Scilly are one of 7 locations identified in Great Britain as proposed statutory marine nature reserves. In order to provide information to assist in management of these areas, monitoring programmes are being developed which are aimed at detecting change in populations and communities of high nature conservation importance. In the Isles of Scilly, the specific objectives were to 'establish a monitoring programme to investigate changes in species and communities of high nature conservation interest. This will include studies on Zostera beds present on the sand flats between the larger islands'. In addition, 2 sites were established for monitoring littoral underboulder communities and some further surveys of sublittoral sites were carried out. This report describes part of the work undertaken in the Isles of Scilly. Studies of the sea urchin Echinus esculentus and an aerial photographic survey will be described elsewhere. Two adjacent sites at one location north of Gap Point on the east side of St Mary's were selected for photographic monitoring of Mediterranean-Atlantic species of high scientific interest. They were marked with pitons and a reference line was tied between the pitons. Both distance and close-up photographs were taken along the line. The photography worked well in providing record photographs and can be repeated in future years. The extensive beds of Zostera marina present in the Isles of Scilly are of considerable conservation importance. The work described here was undertaken in beds at English Island and Old Grimsby Harbour and was aimed at measuring the density of plants and length of leaves, recording the species associated with the Zostera and comparing the 2 sites. The English Island site was found to be much richer in the variety and abundance of associated species than the Old Grimsby Harbour site although the plants there were more dense. Underboulder communities at several locations in the Isles of Scilly are considered to be especially rich examples of this type of habitat. Two sites were selected for study and monitoring: at English Island Point and on the east side of Samson. Here, boulders selected for study were lifted, the undersides photographed using a picture area of 0.033 m/2, and the species present were noted. The location of the boulders was recorded on polaroid photographs. Dives were undertaken at 4 additional locations to provide further data and photographs for the descriptions of habitats and communities in the Isles of Scilly. Records were made from Peninnus Head, Giant's Castle and Deep Point (St Mary's) and from north of St Agnes. A summary of the main recommendations made were: Photographic monitoring - Re-photograph the site established in 1984 at about the same time of year in 1985 and make a detailed comparison. Zostera bed - Re-survey the English Island and Old Grimsby Harbour sites including descriptive and quantitative work at about the same time of year for the next 2 years to assess the stability of the different community types. - Undertake vertical aerial photography employing a specialist company to provide large format colour transparency photographs to a set scale for mapping. Underboulder communities - Re-survey and photograph the same boulders at about the same time of year in 1985 and make a detailed comparison. Concern was also expressed that sea-borne dumping at Gap Point had occurred very near to some of the richest populations of sponges in the Isles of Scilly and that protection was appropriate.

The report summarises fieldwork undertaken in 1985 and 1986 in the Isles of Scilly. Photographic monitoring of communities on circalittoral bedrock was continued and changes in populations of Mediterranean-Atlantic species of high nature conservation importance recorded. The density, size and extent of Zostera plants at 2 locations within the island group was studied and the report incorporates an account of the algal flora associated with Zostera at these sites in 1985. The dominant component species of the circalittoral communities remained little changed between 1984 and 1986. Little apparent growth was noted in individual cup corals, soft corals and branching sponges. No recruitment to the cup coral populations was observed, although a few cup corals and sponges were lost from the monitoring sites. (Some of these losses may be attributable to damage during the monitoring exercise). These results are very similar to those obtained for the monitoring studies being undertaken at similar sites at Lundy and Skomer. The study of Zostera marina has demonstrated the dynamic nature of these sea-grass beds which show marked movement of the vegetated areas from year to year and variation in plant density and average leaf length.

Past survey work in the Isles of Scilly has shown the area to be of high biological and conservation interest because of the variety of habitats and species present. This survey was carried out in order to obtain more information about subtidal sediments and communities, especially from sites not previously examined, and to enable some clarification of habitat and community distributions. Fieldwork took place in September 1988. Work was completed at 15 sites, which were well spaced around the archipelago. A team of divers used an airlift suction sampler to obtain sea bed samples for biological analysis and also took core samples for sediment particle size analysis. Habitat features were recorded in situ. In the laboratory, animals from each sample were identified and data recorded in tabular form. Sediment particle size analyses were carried out by a combination of dry sieving techniques and the use of a Malvern 2600 laser particle sizer. Descriptions of each site were prepared based on the data obtained. Similarity between sites was found to be very low. The number of taxa found in samples showed wide variation. Although in some cases, population distributions appeared to be strongly linked to sediment characteristics, some taxa were apparently randomly distributed throughout the survey area. On coarse sediments, distinct divisions into community types were inappropriate. However, the composition of benthic communities within fine sediments showed less variation, and species present were more predictable. Some of the shallow subtidal areas are rich and potentially vulnerable. It would be useful to have more regular data from specific sites within these areas. The Isles of Scilly sediments are of high nature conservation importance. The habitat overall has a number of unique features which result in the communities present being different and interesting. In addition, the area is almost entirely unspoilt by human activities at the present time.

Manila jurtina wing spotsThis file contains wing spot data for individual meadow brown butterfly specimens.Maniola_jurtina_wing_spots.xlsxManiola jurtina AFLP dataAFLP genotypes for the meadow brown butterfly.Maniola_jurtina_AFLP_data.xlsx

Estimating the demographic parameters of contemporary populations is essential to the success of elasmobranch conservation programmes, and to understanding their recent evolutionary history. For benthic elasmobranchs such as skates, traditional fisheries-independent approaches are often unsuitable as the data may be subject to various sources of bias, whilst low recapture rates can render mark-recapture programmes ineffectual. Close-kin mark-recapture (CKMR), a novel demographic modelling approach based on the genetic identification of close relatives within a sample, represents a promising alternative approach as it does not require physical recaptures. We evaluated the suitability of CKMR as a demographic modelling tool for the critically endangered blue skate (Dipturus batis) in the Celtic Sea using samples collected during fisheries-dependent trammel-net surveys that ran from 2011 to 2017. We identified three full-sibling and 16 half-sibling pairs among 662 skates, which were genotyped across 6,291 genome-wide single nucleotide polymorphisms (SNPs), 15 of which were cross-cohort half-sibling pairs that were included in a CKMR model. Despite limitations owing to a lack of validated life-history trait parameters for the species, we produced the first estimates of adult breeding abundance, population growth rate, and annual adult survival rate for D. batis in the Celtic Sea. The results were compared to estimates of genetic diversity, effective population size (N_e), and catch per unit effort (CPUE) estimates from the trammel-net survey. Although each method was characterised by wide uncertainty bounds, together they suggested a stable population size across the time-series. Recommendations for the implementation of CKMR as a conservation tool for data-limited elasmobranchs are discussed. In addition, the spatio-temporal distribution of the 19 sibling pairs revealed a pattern of site-fidelity in D. batis, and supported field observations suggesting an area of critical habitat that could qualify for protection might occur near the Isles of Scilly.

This report covers work done under contract to the NCC which was part only of a larger survey of the Isles of Scilly and is therefore far from comprehensive. The remit was limited to descriptions of selected stations and lists of Mollusca found and these data alone are inadequate for the drawing of conclusions regarding the conservation importance of the area, but should be used in conjunction with the results of other surveys. Seventeen stations were surveyed, all habitats investigated, standard samples of Fucus serratus and small algae taken for laboratory analysis of their associated fauna. Mollusca, Polychaeta, Pycnogonida and other fauna were recorded. Most stations investigated were moderately sheltered. The rock of the Scillies is mostly granite, which weathers into angularly jointed rock with gullies and fissures. There were few habitats suitable for species associated with softer rock and/or crevices. Large areas are boulder beds. When covered with algae these support an extensive fauna, but others are somewhat barren. The sandflats are composed of rather mobile granite sand with a small carbonate fraction and scouring of adjacent rock and boulder areas occurs. A few small patches of Zostera were examined. The discussion notes that about 90 species of Mollusca were found. Reasons for this paucity of Mollusca were suggested as follows: Lack of variety of habitat. Large amounts of coarse, unstable sand with lowered infaunal populations and sand scouring and choking of adjacent rocky areas. Lack of carbonate in the sand and absence of finer sediments. Absence of some species due to isolation - larvae in the plankton from mainland coastal areas not reaching the Isles of Scilly. Currents come chiefly from the Atlantic or south-west Ireland and, as well as water movement, the time spent in the plankton may be a barrier to larvae. Past species lists of Mollusca are noted as being very long; it is suggested that the fall-off in Mollusca populations might be due to the considerable reduction in the amount of Zostera in the 1930's with subsequent increase in mobility of the sand. A comparison of Mollusca found during this survey was made with other island areas. Where there was little variety of habitat, the molluscan fauna was broadly comparable, but where stable sediments were present the numbers of species on the shore were much higher. However, comparison of data from all those areas for Mollusca associated with small algae does not indicate marked differences. It is concluded that the nature and variety of habitat, both on the large and small scale, is the most important, and on present knowledge the most easily understood factor governing the diversity of Mollusca in an area. Rich sites were identified - the richest stations were characterised by boulders upon, but not embedded in stable gravel, with shallow pools and running water in moderate exposure. Of the sediment areas, the most sheltered were the richest. Three areas surveyed during this investigation have been the subject of previous reports, and the findings of these reports were briefly discussed. Records currently considered sensitive have been removed from this dataset.

The percentage point gap between the percentage of respondents in the Labour Force Survey who have a long-term condition who are classified as employed (aged 16-64) and the percentage of all respondents in the Labour Force Survey classed as employed (aged 16-64). Numerator for employment rate of people with a long-term condition: Number of people with a health problem or disabilities that they expect will last for more than a year (based on response to Q1 of Annual Population Survey (APS) ) and who are in employment (either as an employee, self-employed, in government employment and training programmes or an unpaid family worker - ILO definition of basic economic activity) and are of working age (aged 16-64). Denominator for employment rate of people with a long-term condition: Number of people with a physical or mental health conditions or illness that they expect will last for more than a year (based on response to Q1 in APS) and are of working age (aged 16-64). Numerator for employment rate of population as a whole: Number of people who are in employment (either as an employee, self-employed, in government employment and training programmes or an unpaid family worker - ILO definition of basic economic activity) and are of working age (aged 16-64). Denominator for employment rate of population as a whole: Number of people who are of working age (aged 16-64).The indicator is constructed by calculating the percentage points gap between the employment rate for those with a long-term condition and the population as a whole. Isles of Scilly value was unable to be calculated. Calculations is based on data that are estimates and are rounded to nearest 100. It is advised that estimates published prior to the April 2013 to March 2014 period should not be treated as a time series due to these discontinuities. Due to this change, data from 2013/14 cannot be compared with previous time points. As a consequence, the baseline for this indicator has been changed to 2013/14.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Of the 4 shores surveyed, our conclusion is that they rank as follows in descending order of importance: i) Old Grimsby Zostera bed and Rushy Point, ii) Tresco Flats, iii) St Martin's Flats, iv) Samson Flats. Each of the 4 shores has a certain number of species in common, such as heart-urchins, terebellid worms, bivalves and burrowing anemones. Rushy Point, Tresco, has persistent scoured channels with dense populations of the burrowing anemone Cereus pedunculatus and, not far away, an area of highly sorted gravel with dense populations of the large topshell, Gibbula magus; just to its north, the Zostera bed in Old Grimsby Harbour has a rich and varied fauna not repeated elsewhere. Again, the Tresco Flats, on the other side of the island, have rich beds of the tube-dwelling polychaetes Amphitrite edwardsi and Chaetopterus variopedatus, and of the burrowing heart-urhcins Echinocardium and Spatangus. There is a case for recognising the importance of such unique shores by appropriate conservation measures, or at least by calling attention to them in publicity or 'nature trail' brochures somewhat less than others. Records currently considered sensitive have been removed from this dataset.

These data describe pneumococcal polysaccharide vaccine (PPV) uptake for the survey year, for those aged 65 years and over.RationaleVaccination coverage is the best indicator of the level of protection a population will have against vaccine preventable communicable diseases. Coverage is closely related to levels of disease. Monitoring coverage identifies possible drops in immunity before levels of disease rise. Pneumococcal disease is a significant cause of morbidity and mortality. Certain groups are at risk for severe pneumococcal disease, these include young children, the elderly and people who are in clinical risk groups2. Pneumococcal infections can be non invasive such as bronchitis, otitis media or invasive such as septicaemia, pneumonia, meningitis. Cases of invasive pneumococcal infection usually peak in the winter during December and January. The pneumococcal polysaccharide vaccine (PPV) protects against 23 types of Streptococcus pneumoniae bacterium. It is thought that the PPV is around 50 percent to 70 percent effective at preventing more serious types of invasive pneumococcal infection2.Since 1992 the 23 valent PPV has been recommended for people in the clinical risk groups and since 2003, the PPV vaccination programme has expanded to include immunisation to all those aged 65 years and over in England1This indicator was judged to be a valid and an important measure of public health and was therefore included in the public health outcomes framework. Inclusion of these indicators will encourage the continued prioritisation and evaluation and the effectiveness of the PPV vaccination programme and give an indication of uptake at an upper tier Local Authority level. The vaccination surveys measure the proportion of eligible people that have received PPV at any time and the proportion that received PPV during the previous year, providing an opportunity to assess the delivery of the immunisation programme11 Pneumococcal Polysaccharide Vaccine (PPV) coverage report, England, April 2013 to March 2014 [online]. 2015 [cited 2015 Mar]. Available from URL: https://www.gov.uk/government/publications/pneumococcal-polysaccharide-vaccine-ppv-vaccine-coverage-estimates 2 Pneumococcal infections, NHS Choices [online]. 2013 [cited 2013 Dec]. Available from URL: http://www.nhs.uk/conditions/vaccinations/pages/pneumococcal-vaccination.aspxDefinition of numeratorUKHSA provided UTLA level data. Clinical commissioning group (CCG) data is available from https://www.gov.uk/government/collections/vaccine-uptake#ppv-vaccine-uptakeDefinition of denominatorNumber of adults aged 65 years and over. Data from 2013 to 2014 are now available at source at a local authority level. Data prior to 2013 to 2014 were collected at a PCT level and converted to LA level for inclusion in PHOF using the criteria as defined below:Denominators for local authorities are estimated from denominators for PCTs. Denominators for PCTs include all people registered with practices accountable to the PCT, and no data are available to provide resident-based figures. Denominators for local authorities are estimated as follows: (For local authorities that have exactly the same boundary as a PCT, the PCT figure is used as it is the only estimate available for the residents of the PCT and local authority. For local authorities whose boundary is contained wholly within a single PCT, but is not equal to the whole PCT, the LA denominator is estimated as a proportion of the PCT figure, with the exceptions of Isles of Scilly, City of London, Rutland, Cornwall, Hackney and Leicestershire (see below). For local authorities whose boundaries include all or part of more than one PCT, the local authority denominator is estimated by aggregating the appropriate proportions of the denominators for the PCTs whose boundaries include part of the local authority. The appropriate proportions in cases ii and iii are defined according to the resident population (in the appropriate age group) in the calendar year overlapping most of the period of the indicator value (or the most recent available): resident population by Lower Layer Super Output Area were extracted and used to calculate the population resident in every LA PCT overlapping block.To calculate the denominator, each LA PCT overlap is calculated as a proportion of the PCT resident population, and then multiplied by the denominator for the PCT. A LA may overlap several PCTs: the appropriate portions of all the PCTs’ denominators are aggregated to give the denominator estimate for the LA. Expressed as an equation the denominator is calculated as follows: DenominatorLA = ∑ (DenominatorPCT × n/N) summed over all PCTs overlapping the LA where: DenominatorLA = Estimated denominator in the LA n = Population resident in the LA-PCT overlapping block N = Population resident in the PCT DenominatorPCT = Denominator in the PCT For Isles of Scilly, City of London and Rutland, no indicator data are presented (prior to 2013 to 2014), as the local authority makes up a very small proportion of the PCT, and estimates for the LAs based on the PCT figures are unlikely to be representative as they are swamped by the much larger local authority within the same PCT. The estimates for Cornwall, Hackney and Leicestershire local authorities are combined data for Cornwall and Isles of Scilly, City of London and Hackney, and Leicestershire and Rutland respectively in order to ensure that all valid PCT data are included in the England total.Denominators for Cornwall and Isles of Scilly, City of London and Hackney, and Leicestershire and Rutland are not combined for the 2019 to 2020 annual local authority level data."CaveatsThe pneumococcal vaccine uptake collection is a snapshot of GP patients vaccinated currently registered at the time of data extraction. The proportion of GP practices who provided data for the surveys are available from the uptake reports. Data will exclude patients who have received the vaccine but have subsequently died, patients who have since moved, or patients that are vaccinated but have not had their electronic patient record updated by the time of data extraction. Data for local authorities prior to 2013 to 2014 have been estimated from registered PCT level indicators. While the majority of patients registered with practices accountable to a PCT tend to be resident within that PCT, there are, in some PCTs, significant differences between their resident and registered populations. Therefore the estimates for LAs may not always accurately reflect the resident population of the local authority (LA). Please note that the PCT response rate should be checked for data completeness as this will have a knock on effect to the LA values.

Abstract copyright UK Data Service and data collection copyright owner.

The UK censuses took place on 29th April 2001. They were run by the Northern Ireland Statistics & Research Agency (NISRA), General Register Office for Scotland (GROS), 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.

The Census 2001: Small Area Microdata SAM is a 5% sample of individuals for all countries of the UK, with 2.96 million cases. Local Authority is the lowest level of geography for England and Wales, Council Areas for Scotland and Parliamentary Constituencies for Northern Ireland. The Scilly Isles have been merged with Penwith and the City of London with Westminster. Orkney and Shetland are merged into one area. All other areas are identified. The median sample size for an authority is 5,600 records and nearly eighty authorities have more than 10,000 records. The amount of individual detail in the SAM is less than in the 2001 Individual Licenced Sample of Anonymised Records (I-SAR)(see under SNs 7205 and 7206) because of the greater geographical detail in the SAM.

Caveat - Students:
As with the Individual SAR, the SAM includes those enumerated in a communal establishment and also full-time students who were enumerated at an address that was not their usual term-time residence. For the latter there is only individual-level information on age, sex, marital status and full-time student status. It is recommended that these students are not included in any analyses as they do not form part of the usual residents population base.

This dataset contains 88 variables; a version designed for imputation analysis, which contains an extra 67 imputation flag variables, is available under SN 7208.


Main Topics:
Accommodation type (brief)Accommodation type (detailed)
Adults, Number Employed in Household
Adults, Number in Household
Age
Age of Family Reference Person (FRP)
Age of Household Reference Person (HRP)
Age of Students and Schoolchildren
Amenities
Armed Forces
Bath/Shower and Toilet, use of
Care (unpaid), Provision of
Care, Provision of
Carers and their Economic Activity, Number of
Cars and vans
Central heating
Children
Children, dependent
Communal Establishment Residents
Communal establishment, combined type and management
Concealed families
Country of birth
Country of Birth (additional categories)
Daytime Population
Dwelling Type
Economic Activity
Economic Activity of Associated People Resident in Households
Economic Activity of Full-time students
Economic Activity of Household Reference Person (HRP)
Ethnic group (England and Wales)
Ethnic group (England and Wales) of Household Reference Person
Family composition
Family status
Family type
Health, General
Hours worked
Household composition
Household composition (alternative classification)
Household dependent children
Household deprivation
Household Reference Person indicator
Household size
Household Space Type
Household Type
Households with students away during term-time
Industry
Industry, former
Limiting long-term illness
Limiting Long-Term Illness (LLTI), Household residents with
Limiting long-Term Illness, number of people with in household
Living arrangements
Living arrangements of Household Reference Person (HRP)
Lowest floor level
Marital status
Migration (armed forces)
Migration (Communal establishment)
Migration (People)
Multiple ethnic identifier
Occupancy Rating
Occupation (brief)
Occupation (detailed)
Occupation, former
Pensioner household
People aged 17 or over in household, Number of
Population Type
Public transport users in households
Qualifications (England and Wales)
Qualifications, highest level of (England and Wales)
Qualifications, professional
Religion (England and Wales)
Religion (England and Wales) of Household Reference Person
Resident Basis
Resident Type
Rooms in a dwelling, number of
Rooms, Number of
Rooms, Persons per
Sex
Sex of Household Reference Person (HRP)
Single Adult Households
Social Grade of Household Reference Person (HRP), approximated
Social Grade, approximated
Socio-economic Classification (NS-SeC)
Socio-economic Classification (NS-SeC) of Household Reference Person (HRP)Socio-economic Classification (NS-SeC) of Household Reference Person (HRP), Main categories of
Student accommodation (Standard Output)
Student accommodation Type
Student status
Tenure
Tenure,...

Abstract copyright UK Data Service and data collection copyright owner.

The UK censuses took place on 29th April 2001. They were run by the Northern Ireland Statistics & Research Agency (NISRA), General Register Office for Scotland (GROS), 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.

The Census 2001: Small Area Microdata for Imputation Analysis (SAM) is a 5% sample of individuals for all countries of the UK, with 2.96 million cases. Local Authority is the lowest level of geography for England and Wales, Council Areas for Scotland and Parliamentary Constituencies for Northern Ireland. The Scilly Isles have been merged with Penwith and the City of London with Westminster. Orkney and Shetland are merged into one area. All other areas are identified. The median sample size for an authority is 5,600 records and nearly eighty authorities have more than 10,000 records. The amount of individual detail in the SAM is less than in the 2001 Individual Licenced Sample of Anonymised Records (I-SAR)(see under SNs 7205 and 7206) because of the greater geographical detail in the SAM.

Caveat - Students:
As with the Individual SAR, the SAM includes those enumerated in a communal establishment and also full-time students who were enumerated at an address that was not their usual term-time residence. For the latter there is only individual-level information on age, sex, marital status and full-time student status. It is recommended that these students are not included in any analyses as they do not form part of the usual residents population base.
This dataset contains 155 variables, including 67 imputation flag variables. The standard version, containing 88 SAM variables, is available under SN 7207.


Main Topics:
Accommodation type (brief)Accommodation type (detailed)
Adults, Number Employed in Household
Adults, Number in Household
Age
Age of Family Reference Person (FRP)
Age of Household Reference Person (HRP)
Age of Students and Schoolchildren
Amenities
Armed Forces
Bath/Shower and Toilet, use of
Care (unpaid), Provision of
Care, Provision of
Carers and their Economic Activity, Number of
Cars and vans
Central heating
Children
Children, dependent
Communal Establishment Residents
Communal establishment, combined type and management
Concealed families
Country of birth
Country of Birth (additional categories)
Daytime Population
Dwelling Type
Economic Activity
Economic Activity of Associated People Resident in Households
Economic Activity of Full-time students
Economic Activity of Household Reference Person (HRP)
Ethnic group (England and Wales)
Ethnic group (England and Wales) of Household Reference Person
Family composition
Family status
Family type
Health, General
Hours worked
Household composition
Household composition (alternative classification)
Household dependent children
Household deprivation
Household Reference Person indicator
Household size
Household Space Type
Household Type
Households with students away during term-time
Industry
Industry, former
Limiting long-term illness
Limiting Long-Term Illness (LLTI), Household residents with
Limiting long-Term Illness, number of people with in household
Living arrangements
Living arrangements of Household Reference Person (HRP)
Lowest floor level
Marital status
Migration (armed forces)
Migration (Communal establishment)
Migration (People)
Multiple ethnic identifier
Occupancy Rating
Occupation (brief)
Occupation (detailed)
Occupation, former
Pensioner household
People aged 17 or over in household, Number of
Population Type
Public transport users in households
Qualifications (England and Wales)
Qualifications, highest level of (England and Wales)
Qualifications, professional
Religion (England and Wales)
Religion (England and Wales) of Household Reference Person
Resident Basis
Resident Type
Rooms in a dwelling, number of
Rooms, Number of
Rooms, Persons per
Sex
Sex of Household Reference Person (HRP)
Single Adult Households
Social Grade of Household Reference Person (HRP), approximated
Social Grade, approximated
Socio-economic Classification (NS-SeC)
Socio-economic Classification (NS-SeC) of Household Reference Person (HRP)Socio-economic Classification (NS-SeC) of Household Reference Person (HRP), Main categories of
Student accommodation (Standard Output)
Student accommodation Type
Student...

This report covers work done under contract to the NCC which was part only of a larger survey of the Isles of Scilly and is therefore far from comprehensive. The remit was limited to descriptions of selected stations and lists of Mollusca found and these data alone are inadequate for the drawing of conclusions regarding the conservation importance of the area, but should be used in conjunction with the results of other surveys. Seventeen stations were surveyed, all habitats investigated, standard samples of Fucus serratus and small algae taken for laboratory analysis of their associated fauna. Mollusca, Polychaeta, Pycnogonida and other fauna were recorded. Most stations investigated were moderately sheltered. The rock of the Scillies is mostly granite, which weathers into angularly jointed rock with gullies and fissures. There were few habitats suitable for species associated with softer rock and/or crevices. Large areas are boulder beds. When covered with algae these support an extensive fauna, but others are somewhat barren. The sandflats are composed of rather mobile granite sand with a small carbonate fraction and scouring of adjacent rock and boulder areas occurs. A few small patches of Zostera were examined. The discussion notes that about 90 species of Mollusca were found. Reasons for this paucity of Mollusca were suggested as follows: Lack of variety of habitat. Large amounts of coarse, unstable sand with lowered infaunal populations and sand scouring and choking of adjacent rocky areas. Lack of carbonate in the sand and absence of finer sediments. Absence of some species due to isolation - larvae in the plankton from mainland coastal areas not reaching the Isles of Scilly. Currents come chiefly from the Atlantic or south-west Ireland and, as well as water movement, the time spent in the plankton may be a barrier to larvae. Past species lists of Mollusca are noted as being very long; it is suggested that the fall-off in Mollusca populations might be due to the considerable reduction in the amount of Zostera in the 1930's with subsequent increase in mobility of the sand. A comparison of Mollusca found during this survey was made with other island areas. Where there was little variety of habitat, the molluscan fauna was broadly comparable, but where stable sediments were present the numbers of species on the shore were much higher. However, comparison of data from all those areas for Mollusca associated with small algae does not indicate marked differences. It is concluded that the nature and variety of habitat, both on the large and small scale, is the most important, and on present knowledge the most easily understood factor governing the diversity of Mollusca in an area. Rich sites were identified - the richest stations were characterised by boulders upon, but not embedded in stable gravel, with shallow pools and running water in moderate exposure. Of the sediment areas, the most sheltered were the richest. Three areas surveyed during this investigation have been the subject of previous reports, and the findings of these reports were briefly discussed. Records currently considered sensitive have been removed from this dataset.

This is the estimated percentage of adults aged 16 and over in the local area who are active. These estimates include the activities of walking, cycling, dance, fitness and sporting activities, but exclude gardening which is outside of Sport England's remit. Office for Health Improvement and Disparities (OHID) publish physical activity data for adults aged 19+ that includes gardening. Activity is counted in moderate intensity equivalent minutes whereby each 'moderate' minute counts as one minute and each 'vigorous' minute counts as two moderate minutes. Depending on the number of minutes of moderate intensity equivalent (MIE) physical activity, people are described as being:

Inactive - Doing less than 30 minutes a week Fairly Active - Doing 30-149 minutes a week Active - Doing at least 150 minutes a week

Moderate activity is defined as where you raise your heart rate and feel a little out of breath. Vigorous activity is where you are breathing hard and fast and your heart rate has increased significantly (you will not be able to say more than a few words without pausing for breath). When making comparisons between figures, some differences seen may not be significant differences and so a degree of caution should be made before making conclusions. The survey was adapted during the COVID-19 pandemic. The survey sample is randomly selected from the Royal Mail’s Postal Address File ensuring a very high coverage of private residential addresses. The target sample size for each English local authority (excluding the City of London and Isles of Scilly) is 500 returns. Data may be suppressed for an area where the threshold of 30 is not reached. Population totals are created using Office for National Statistics (ONS) mid-year population estimates. Data is sourced from the adult Active Lives November to November survey.

Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Abstract

In 2013, the EU-SILC instrument covered all EU Member States plus Iceland, Turkey, Norway, Switzerland and Croatia. EU-SILC has become the EU reference source for comparative statistics on income distribution and social exclusion at European level, particularly in the context of the "Program of Community action to encourage cooperation between Member States to combat social exclusion" and for producing structural indicators on social cohesion for the annual spring report to the European Council. The first priority is to be given to the delivery of comparable, timely and high quality cross-sectional data.

There are two types of datasets: 1) Cross-sectional data pertaining to fixed time periods, with variables on income, poverty, social exclusion and living conditions. 2) Longitudinal data pertaining to individual-level changes over time, observed periodically - usually over four years.

Social exclusion and housing-condition information is collected at household level. Income at a detailed component level is collected at personal level, with some components included in the "Household" section. Labor, education and health observations only apply to persons aged 16 and over. EU-SILC was established to provide data on structural indicators of social cohesion (at-risk-of-poverty rate, S80/S20 and gender pay gap) and to provide relevant data for the two 'open methods of coordination' in the field of social inclusion and pensions in Europe.

This is the 1st version of the 2013 Cross-Sectional User Database as released in July 2015.

Geographic coverage

The survey covers following countries: Austria; Belgium; Bulgaria; Croatia; Cyprus; Czech Republic; Denmark; Estonia; Finland; France; Germany; Greece; Spain; Ireland; Italy; Latvia; Lithuania; Luxembourg; Hungary; Malta; Netherlands; Poland; Portugal; Romania; Slovenia; Slovakia; Serbia; Sweden; United Kingdom; Iceland; Norway; Turkey; Switzerland

Small parts of the national territory amounting to no more than 2% of the national population and the national territories listed below may be excluded from EU-SILC: France - French Overseas Departments and territories; Netherlands - The West Frisian Islands with the exception of Texel; Ireland - All offshore islands with the exception of Achill, Bull, Cruit, Gorumna, Inishnee, Lettermore, Lettermullan and Valentia; United Kingdom - Scotland north of the Caledonian Canal, the Scilly Islands.

Analysis unit

• Households;
• Individuals 16 years and older.

Universe

The survey covered all household members over 16 years old. Persons living in collective households and in institutions are generally excluded from the target population.

Kind of data

Sample survey data [ssd]

Sampling procedure

On the basis of various statistical and practical considerations and the precision requirements for the most critical variables, the minimum effective sample sizes to be achieved were defined. Sample size for the longitudinal component refers, for any pair of consecutive years, to the number of households successfully interviewed in the first year in which all or at least a majority of the household members aged 16 or over are successfully interviewed in both the years.

For the cross-sectional component, the plans are to achieve the minimum effective sample size of around 131.000 households in the EU as a whole (137.000 including Iceland and Norway). The allocation of the EU sample among countries represents a compromise between two objectives: the production of results at the level of individual countries, and production for the EU as a whole. Requirements for the longitudinal data will be less important. For this component, an effective sample size of around 98.000 households (103.000 including Iceland and Norway) is planned.

Member States using registers for income and other data may use a sample of persons (selected respondents) rather than a sample of complete households in the interview survey. The minimum effective sample size in terms of the number of persons aged 16 or over to be interviewed in detail is in this case taken as 75 % of the figures shown in columns 3 and 4 of the table I, for the cross-sectional and longitudinal components respectively.

The reference is to the effective sample size, which is the size required if the survey were based on simple random sampling (design effect in relation to the 'risk of poverty rate' variable = 1.0). The actual sample sizes will have to be larger to the extent that the design effects exceed 1.0 and to compensate for all kinds of non-response. Furthermore, the sample size refers to the number of valid households which are households for which, and for all members of which, all or nearly all the required information has been obtained. For countries with a sample of persons design, information on income and other data shall be collected for the household of each selected respondent and for all its members.

At the beginning, a cross-sectional representative sample of households is selected. It is divided into say 4 sub-samples, each by itself representative of the whole population and similar in structure to the whole sample. One sub-sample is purely cross-sectional and is not followed up after the first round. Respondents in the second sub-sample are requested to participate in the panel for 2 years, in the third sub-sample for 3 years, and in the fourth for 4 years. From year 2 onwards, one new panel is introduced each year, with request for participation for 4 years. In any one year, the sample consists of 4 sub-samples, which together constitute the cross-sectional sample. In year 1 they are all new samples; in all subsequent years, only one is new sample. In year 2, three are panels in the second year; in year 3, one is a panel in the second year and two in the third year; in subsequent years, one is a panel for the second year, one for the third year, and one for the fourth (final) year.

According to the Commission Regulation on sampling and tracing rules, the selection of the sample will be drawn according to the following requirements:

1. For all components of EU-SILC (whether survey or register based), the crosssectional and longitudinal (initial sample) data shall be based on a nationally representative probability sample of the population residing in private households within the country, irrespective of language, nationality or legal residence status. All private households and all persons aged 16 and over within the household are eligible for the operation.
2. Representative probability samples shall be achieved both for households, which form the basic units of sampling, data collection and data analysis, and for individual persons in the target population.
3. The sampling frame and methods of sample selection shall ensure that every individual and household in the target population is assigned a known and non-zero probability of selection.
4. By way of exception, paragraphs 1 to 3 shall apply in Germany exclusively to the part of the sample based on probability sampling according to Article 8 of the Regulation of the European Parliament and of the Council (EC) No 1177/2003 concerning

Community Statistics on Income and Living Conditions. Article 8 of the EU-SILC Regulation of the European Parliament and of the Council mentions: 1. The cross-sectional and longitudinal data shall be based on nationally representative probability samples. 2. By way of exception to paragraph 1, Germany shall supply cross-sectional data based on a nationally representative probability sample for the first time for the year 2008. For the year 2005, Germany shall supply data for one fourth based on probability sampling and for three fourths based on quota samples, the latter to be progressively replaced by random selection so as to achieve fully representative probability sampling by 2008. For the longitudinal component, Germany shall supply for the year 2006 one third of longitudinal data (data for year 2005 and 2006) based on probability sampling and two thirds based on quota samples. For the year 2007, half of the longitudinal data relating to years 2005, 2006 and 2007 shall be based on probability sampling and half on quota sample. After 2007 all of the longitudinal data shall be based on probability sampling.

Detailed information about sampling is available in Quality Reports in Related Materials.

Mode of data collection

Mixed