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2001 Census

2001 Census. What did the Census ask about?. Person Questions. Household Questions. Communal establishment questions. Nature of establishment Registration status Type of management Type of resident. How good is the information?. The perfect database. Data capture: 100% for all topics

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2001 Census

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  1. 2001 Census

  2. What did the Census ask about?

  3. Person Questions

  4. Household Questions

  5. Communal establishment questions Nature of establishment Registration status Type of management Type of resident

  6. How good is the information?

  7. The perfect database • Data capture:100% for all topics • Coding, editing, imputation:to fill all missing items • ONC:Consistency with MYE

  8. What results have you produced?

  9. Population report • Age and gender by council areas • 2001 MYEs included • Findings • Figures in general a bit lower than MYE rolled forward • Over–corrected under coverage in 1991? • Need better inf on migration especially from UK

  10. RG’s Report to Parliament • Summary statistics for most Census topics • Comparable statistics from 1991 • Some cross-tabulations • Can be downloaded from www.gro-scotland.gov.uk

  11. Key Statistics for Council areas and Health Board areas • Summary statistics for most Census topics • One row in each table for each area • Generally each column contains percentage for comparing one area with another

  12. Is that all? Yes so far, but ...

  13. Area StatisticsDatasets • Univariate tables • Key Statistics • Profiles • Standard Tables (ST) • Census Area Statistics (CAS)

  14. Area StatisticsGeography • Council Area • Parliamentary Constituency • Health Board Area • Postcode sector • Electoral ward • Settlement and locality • Civil Parish • Inhabited Island • Output Area - the building brick

  15. What can you do with all this data for all these areas?

  16. Local analyses Area profiles Areas of deprivation Area classifications Input to Scottish Neighbourhood Statistics Identify target areas for services - and money Local benchmarking Denominators for other statistics Links between socio-economic characteristics Measure inequalities Statistics on sub-populations Check local population estimates Check local dwelling estimates Local labour markets etc Area StatisticsUses

  17. How can I get these statistics?

  18. Area StatisticsProducts • Paper5 reports • SCROLScottish Census Results On-line • CD5 at the last count • Bulk delivery

  19. Printed Reports

  20. SCROL - CD • Contain the Area Statistics for key geographies, bundled with: • SuperTABLE Software to analyse and manipulate the tables. • Commentary or text about the statistics to help understand and use the Census results • Reference Maps to help visualise Census areas

  21. CD Content - 1

  22. CD Content - 2

  23. SCROL - Website • quickly obtain profiles for a number of areas • identify and retrieve any of the predefined Area Statistics tables • identify areas of interest through an Area list, search or an interactive map and gazetteer • view commentary and text (supporting information) • download tables for use locally

  24. SCROL - website

  25. Bulk Delivery • Provides a larger volume of data • Two main delivery mechanisms: • SCROL - Data Warehouse • all tables for one area (e.g. Stirling) • GROS Customer Services • all tables in a dataset for all of the lowest area level (e.g. Output Areas)

  26. What else is there?

  27. Origin-Destination Statistics • Samples of Anonymised Records • Scottish MSTRs? • Scotland and its people • Gaelic • Commissioned tables • Already have requests • Household classifications

  28. What is the Census telling us?

  29. 69% of people in the Western Isles have some knowledge of Gaelic • Women are 11 times more likely to live in a lone parent household than men • East Renfrewshire has the highest proportion of households with children under 5 • Glasgow City has the lowest percentage of childless couple households (7.5%) • 5.5% of people in Glasgow live above the 4th floor, compared to 1.4% in Scotland

  30. An ageing population • Fewer married people • Households getting smaller • Increase in owner occupation • More non-Whites than in 1991

  31. Fewer Gaelic speakers • Increase in long-term illness • More poor health in social rented and rent free sectors • Fewer men in full-time employment • Glasgow City has most unemployed and economically inactive

  32. One in ten a carer • Unemployment higher in social rented and rent free sectors • Asians more likely to be self-employed • Muslims more likely to be unemployed • More households with cars

  33. More go to work be car • Many students walk or cycle • A third have no educational qualifications • 21% of women work in Health & Social Work compared with 4% of men • 13% of men work in Construction compared with 1.5% of women

  34. Aberdeenshire has the highest average number of rooms per household at 5.43 • 43% of homes in Orkney are owned outright, compared to 15% in Glasgow. • Scotland’s people own or have access to 2,044,018 cars and vans • Only 3% of houses in Glasgow are detached, compared to 62% in Orkney • The Highlands contain a fifth of Scotland’s second homes and holiday accommodation.

  35. 3.5% of workers in Glasgow travel to work on the underground • 5% of workers in Moray cycle to work, compared with 0.3% in Inverclyde. • Average hours worked in Scotland are 42 for males and 31 for females • Over 33% of people in Scotland aged 16-74 have none of the qualifications listed on the Census form • Dundee has the highest proportion of full-time students aged 16-74 (13%)

  36. Aberdeen has the highest percentage of people (42%) with no current religion • Argyll & Bute has the highest percentage of people born in England (17%) • West Dunbartonshire has the lowest percentage of people born in England (under 4%) • 8% of households in Aberdeenshire have 3 or more cars • 56% of households in Glasgow have no car

  37. etc • etc • etc • etc • etc

  38. How do I find out more?

  39. www.gro-scotland.gov.uk2001 Census in Scotland - A guide to the results and how to obtain them • Garnett Compton0131 314 4298garnett.compton@gro-scotland.gsi.gov.uk • Frank Thomas0131 314 4217frank.thomas@gro-scotland.gsi.gov.uk • Customer services0131 314 4254customer @gro-scotland.gsi.gov.uk

  40. Over to you

  41. Spare slides

  42. Preparing the Census databaseCensus records • Planned processing • Load • Edit and Imputation • ONC matching, estimation and imputation • Household composition algorithm • Remote postcode imputation • Dwellings algorithm

  43. Preparing the Census databaseCensus records • Gone through extensive editing not in original plan • Black lines • Occupation • Same sex couples • Dwellings • Remote E&W/NI postcodes on Scottish forms and converse (Still to do)

  44. Preparing the Census databaseQuality • Some quality issues • Planned editing for missing and inconsistent data • Extra editing • ONC • Measures for ST areas • Missingness per variable for residents and for households • Non-enumerated residents and households

  45. Area StatisticsGeography • Postcode Sectors

  46. Real Wards vs CAS Wards CAS Wards vs ST Wards Shaded area shows 6 Real Wards. Black outlines show boundaries of 6 CAS Wards. Shaded area shows 3 ST Wards. Black outlines show boundaries of 6 CAS Wards.

  47. Ward and Sector differencing Sliver Shaded area shows 3 ST Wards. Black outline shows ST Sector boundaries Shaded area shows 3 New ST Wards if boundaries changed to get rid of sliver

  48. CAS wards (6) Paible Lochmaddy North Benbecula Eochar Loch Eynort Daliburgh and Eriskay ST wards (3) Paible; Lochmaddy North Benbecula; Eochar (part) Eochar (part); Loch Eynort; Daliburgh and Eriskay CAS and ST wardsBefore and after removing slivers

  49. Origin-Destination Statistics • Special Migration Statistics • council area to council area • ward to wardpostcode sector to postcode sector • ?output area to output area • Special Travel Statistics • council area to council area • ward to wardpostcode sector to postcode sector • output area to output area

  50. Samples of Anonymised Records • 1% households, 2-3% individuals, ?more • User can do own analysis • regressions • no need to commission special tables

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