User Guide for ELSA Geographical Variables
Contents
1. The final column shows the level of disclosivity which is defined further as follows LOW If the applicant has justified the need for these variables we will usually provide them with the ELSA analytical serial number IDAUNIQ attached HIGH We will not generally give out this information but instead will try and find an alternative way of enabling the applicant to do their analyses see section C for details Variable oacode wXpsect easting northing lafrCurr laid laname gor AYE Tat le m l 01 9 2001 Census Output Area Postcode sector interview address National Grid reference Easting National Grid reference Northing Local Authority Type of Local Authority 1 City of London amp London Boroughs 2 English Metropolitan districts 3 English non metropolitan districts 4 English Unitary Authorities 5 Welsh Unitary Authorities Name of Local Authority Government office region A North East B North West D Yorkshire and The Humber E East Midlands F West Midlands G East of England H London J South East K South West Standard region 1 North 2 Yorkshire and Humberside Durham 3 East Midlands 4 East Anglia 5 South East 6 South West 7 West Midlands 8 North West 9 Wales Original source National Statstics Postcode Directory NSPD Royal Mail Postcode Address File PAF NSPD NSPD Derived by merging OSCTY amp OSLAUA from the National Statistics2. postcodes nested within the same Census Output Area The population density quintile was assigned on the basis of the full PAF cut offs i e the whole of England 3 Department of the Environment Food and Rural Affairs DEFRA urban rural indicator Census Output Area level The source was the National Statistics Postcode Directory and the matching variable was postcode Variable EUELA E Le Level of disclosivity urindew 1 Urban gt 10k sparse 2 Town amp Fringe sparse 3 Village sparse 4 Hamlet amp isolated dwelling sparse 5 Urban gt 10k less sparse 6 Town amp Fringe less sparse 7 Village less sparse 8 Hamlet amp isolated dwelling less sparse Note that a four category indicator can easily be derived from this variable by merging categories 1 and 5 urban gt 10k 2 and 6 Town and Fringe 3 and 7 village and 4 and 8 Hamlet and Isolated dwelling 4 Index of Multiple Deprivation IMD A small number of cases 1 in Wave 0 and 8 in Wave 2 have missing values because the address was located within Wales which has its own Index The 2004 Index of Multiple Deprivation The raw 2004 IMD scores can be found at http www communities gov uk index asp id 1128440 The matching variable was Lower Super Output Area not provided with the geography data Variable Variable label Level of disclosivity imd2004 Index of Multiple Deprivation 2004 qimd2004 Index of Multiple Deprivation 2004 q
3. way of enabling you to do your analysis without providing data that identifies local areas to you If you wish to work with particularly disclosive or confidential variables e g postcode sector grid reference data then we may suggest that you come and do your analyses in the NatCen Data Enclave This is a safe setting in which to work with sensitive data in that the computer in the Enclave is not networked and can only be accessed by a small number of people Alternatives to using the Enclave are using data with an anonymised identifier attached so that the ELSA identifier IDAUNIQ and the sensitive variable s are never seen by the external researcher on the same dataset SECTION D_ CONTACT DETAILS ELSA Research Team E mail ELSAData natcen ac uk Telephone 020 7250 1866
4. Postcode Directory http www statistics gov uk ge ography downloads UK_Local Authorities 2001 xls http Awww statistics gov uk ge ography downloads UK_Local Authorities 2001 xls NSPD Matching variable Postcode Postcode Postcode Postcode Postcode LafrCurr LAfrCurr Postcode Postcode Level of disclosivity Very High High High High Low Low OSCTY is County Office for National Statistics code OSLAUA is Local Authority Unitary Authority 2 Population density postcode sector level The source was Census data which NatCen has matched on to the Postcode Address File and the matching variable was postcode sector Variable Variable label Level of disclosivity popdens Population density of the postcode sector number of High persons in private households per hectare qpopdens Population density of the postcode sector quintiles Low 1 least dense 2 2 quintile 3 3 quintile 4 4 quintile 5 most dense Despite being matched successfully using the Wave 0 HSE or Wave 1 postcode a number of cases could not matched to the population density variable using the latest postcode sector file as the lookup due to the postcodes being terminated Two strategies were used to compute population density for the missing cases 1 Previous PAF files were used as look up tables and 2 For those cases still without a match population density was imputed as the mean value for those
5. UK Data Archive Study Number 5050 English Longitudinal Study of Ageing User Guide for ELSA Geographical Variables This User Guide details the geographical variables that are available to be matched to ELSA data as well as detailing the sources of these variables This guide is not exhaustive there are many other geographical variables available but here we have detailed those that we have already matched on to the ELSA analytical identifier IDAUNIQ These variables comprise the ELSA geography file Many of these variables can be considered to be disclosive hence why they are not archived with the rest of the ELSA data and are only available by special request The first section of this guide describes the basic details the second section gives detailed information about the variables in the ELSA geography file and the third section gives information about how to obtain these variables SECTION A Basic Information The geography file contains geographically related information in the form of identifiers such as Government Office Region GOR and indices that are geographically based such as the Index of Multiple Deprivation IMD An ELSA respondent s geography is determined by the household that they reside in more specifically their postcode The nature of ELSA implies that geography can change over time so that the information in this file is also time dependent Key points in time have been selected i e survey interview date
6. _st_wards asp SECTION C_ PROCESS OF OBTAINING GEOGRAPHICAL VARIABLES If you wish to apply for any of the geographical variables detailed above then please get in touch with the ELSA Data Manager contact details below in order to obtain an application form This application form once completed and received back at NatCen and any initial queries have been resolved will go to the NatCen Data Release Panel for consideration On this form you will need to specify the variables you need for which Waves of ELSA data you need them why you need the variables and who exactly will have access to them You will also need to agree a timeframe in which a you would like to receive the data please give as much notice as possible and b when you will no longer need the data and will therefore be obliged to destroy it You will also need to agree to our standards of security in order to protect the data that you are sent The NatCen Data Release Panel meets once a month and here if your application is approved your request will either be agreed as it is or necessary amendments will be suggested Once this decision has been relayed to you and you are happy with it we will need a signed copy of the final form before your data can be sent to you Please note that NatCen does not give out data that allows low level geographies to be identified i e post code sector or ward If data matched at this level is requested we will attempt to find an alternative
7. s and geographical information is given for those key points That is the geographical information attached to a record relates to the interview address More specifically we use the postcode of the interview address to match in geographical information such as GOR and IMD Note that a respondent can live in other places between interviews but this information is not represented in the file and is applicable to a relatively small proportion of respondents Currently there are three key points in time HSE Wave 0 and ELSA Waves 1 and 2 Hence there is a separate geography file for each Wave Note also that the geography file for Wave t only contains the records for responding individuals at Wave t n 19 834 at Wave 0 n 12 099 at Wave 1 and n 9 432 at Wave 2 The analytical identifier supplied for matching to archived ELSA data is IDAUNIQ Once a respondent has been assigned this identifier its value remains constant throughout the following Waves 1 The postcodes of ELSA respondents will never be given out to external researchers Under strict conditions we may be able to supply geographical identifiers such as postcode sector this may involve researchers having to come and work in the NatCen Data Enclave Please see Section C for more details SECTION B _ Variable Descriptions 1 Geographical identifiers The table below sets out the geographical variables already attached to the ELSA geography files X denotes Wave number
8. uintiles 1 Least deprived 2 2 quintile 3 3 quintile 4 4 quintile 5 Most deprived The 2000 Index of Multiple Deprivation The raw 2000 IMD scores can be found via a download at http www communities gov uk index asp id 1128626 The matching variable was WARD98 provided by the NSPD not provided with the geography data WARD98 is the 1998 administrative and electoral area Variable Variable label Level of disclosivity imd2000 Index of Multiple Deprivation 2000 qimd2000 Index of Multiple Deprivation 2000 quintiles 1 Least deprived 2 2 quintile 3 3 quintile 44 quintile 5 Most deprived 5 Additional variables It is not possible to anticipate all the various geographically related information that users of the data may require The geographical variables provided are a subset of those NatCen would be able to supply on request subject to approval by the NatCen Data Release Panel A list of some additional variables is provided in the table below EELE EUELA II Original source Matching Level of VEELE disclosivity casward Census Area Statistics All Fields Postcode Directory AFPD Postcode CAS wards now known as National Statistics Postcode Directory NSPD statward Statistical ward AFPD Postcode oshlithau Strategic Health AFPD Postcode Authority pct Primary Care Trust Postcode 1 for more detail on the exact definition of wards see http www statistics gov uk geography statistical cas
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