Thursday October 11 th 2007

Thursday October 11Thursday October 11thth 2007 2007

Welcome to the 2Welcome to the 2ndnd Neighbourhood Statistics Neighbourhood Statistics Data Supplier Open DayData Supplier Open Day

Introduction

Andy Teague

Head of Admin Sources

Data Supplier Open Day, October 11th 2007

Some basic details you need to know:

• Fire alarms

• Toilets

• Smoking


A ‘Talking Wall’ for questions…..

Jot your question down on a note and stick it on to the flipchart at the back of the room. We’ll do our best to answer it during the final session.


Update on Disclosure Control Issues

Philip Lowthian

Statistical Disclosure Control Branch

Methodology Directorate


Aims and objectives of the branch:

• Develop disclosure control tools, innovative solutions and methods

• Promote, disseminate and provide support for disclosure control tools

• Develop, promote and support the implementation of professional standards

• Keep up to date with international work on SDC methods

• Build up a pool of expertise


We work closely with several other parts of ONS

• National Statistics and International Division (NSID)

• The Data Stewardship Group (DSG)

• IM Strategies

• The Microdata Release Unit

• Census

• Neighbourhood Statistics

Topics under discussion

• Release of Tau-Argus 3.2.0

• GSS Standards for Statistical Disclosure Control

• Information Loss

• Releasing information for under 18 conceptions

Tau-Argus – A Summary

• Can read in both tables and microdata (user creates tables within Tau-Argus)

• Can operate in both interactive and batch mode

• Can make safe both frequency tables and magnitude tables.

• For magnitude tables the user sets safety rules (primary suppressions) such as threshold rule and dominance rule.

Tau-Argus – A Summary

• Recoding can be applied to the table

• Secondary Suppressions are carried out on magnitude tables to avoid disclosure by differencing.

• Controlled rounding is applied to frequency tables so that additivity is preserved.

Tau-Argus 3.2.0

Improvements / Alterations I

• The partitioning options for the rounding procedure have been improved. Partitioning is now permitted on hierarchical variables.

• For tables with non hierarchical variables, the user will have the option of choosing the number of blocks to break the table into prior to rounding.

• The batch mode will offer all the features available in the interactive mode, including the partitioning options described above.

Tau-Argus 3.2.0

Improvements / Alterations II

• More information will be given to the user on screen after rounding (both with and without partitions) such as

No. of jumps Max. jump Number of rapid subtables Number of feasible subtables Number of optimal subtables

• The hypercube method of secondary suppression will offer the option of 'small' or 'large' tables. By choosing the relevant option these should improve processing time.

Tau-Argus 3.2.0

Bug Fixes I

• An earlier problem with rounding to base 3 and setting the threshold value to 3 sometimes causing the rapid solution to be automatically chosen now been fixed.

• Safety rules applied after reading in tables will always be correct. Currently p% and dominance rules are not disabled when there is not enough information in the table about the number of contributors and their values.

• The 'timecheck' window is now fully readable.

Tau-Argus 3.2.0

Bug Fixes II

• On the rare occasion when the optimal method of suppression chooses all cells for secondary suppression, a message will state:

'All cells have been suppressed, the problem might have become infeasible'.

• The program will be more stable and less likely to crash when suppressing or rounding.

GSS Standards for SDC

• Developed to ensure consistent approach to SDC for different outputs

• GSS Standard for tables produced from administrative data sources

• GSS Standard for tables produced from surveys

(not covered here)– Social surveys– Subsamples– Business surveys

GSS Standards for SDC

• In development:

– Standard for microdata

– Standard for analytical outputs

– Standard for outputs from Census 2011

• These standards exist alongside specific NeSS standards

• Concentrate on the standards for tables produced from administrative data sources

GSS Standards for Frequency tables I

Administrative data: disclosure risk

• Data provider should consider the risk of different types of

disclosure

• Risks are related to disclosure likelihood and impact

• Identify ‘unsafe’ cells

• 3 broad risk categories

GSS Standards for Frequency tables II

• Low risk– Likelihood and impact of an identification low– High level of aggregation and limited tables produced from

source– Care taken with zeros and marginal totals of size 1 or 2

• Medium risk– Majority of health statistics– All cells of size 1 or 2 unsafe, care taken with zeros

• High risk– Likelihood and impact of an identification higher, eg statistics

on abortions– All cells of size 1 to 4 unsafe, care taken with zeros

GSS Standards for Frequency tables III

Administrative data – Disclosure methods

• Table redesign is recommended as a simple method

• Controlled rounding recommended for most tables

• In some cases, if the number of unsafe cells is low,

suppression can be implemented

Information loss software I

• Measures ‘information lost’ due to the application of an SDC method for tables

• Measures the difference between the original and

protected tables

• Evaluates different measures, e.g. bias, variance,

measures of association

• Allows comparison of SDC methods

• Developed by the ONS

• Programmed in SAS

Information loss software II

Details on information loss measures

• Basic Statistics: Number of cells and the total information in the table; number of zeros, ones, and twos etc.

• For suppressed tables: number and percent suppressed cells and total information lost; choice of imputation method

• For random rounded tables: Binomial hypothesis test to check for bias in the rounding scheme

• For all other SDC methods: paired sign rank test to check for no change in the location

Information loss software III

• Distance metrics

- distortions to distributions on internal cells

- distortions to distributions on marginal sub-totals / totals

• Impact on Tests for Independence

• Impact on Rank Correlations

Conceptions Data

• PSA target to reduce under-18 conception rate by 50% by

2010

• Requirement for information by small area

• Three SDC methods used:

– Data for 3 years combined

– E&W data divided into quintiles

– Suppression for small populations

• Maps produced on NeSS at the ward level

Conceptions Data

Summary

• SDC is involved in a number of projects

• Here I have only given a brief update

• We also provide training courses especially an awareness raising course

• Please contact the branch for any advice / further information


Neighbourhood Statistics Neighbourhood Statistics Data Supplier Open DayData Supplier Open Day

The Statistics and Registration Service Act and Opportunities for Sharing

Administrative Data

Kieron Mahony & Minda Phillips

Outline of Presentation

This presentation will focus on:-

• outlining the scope of the Act;

• considering key implications;

• data sharing issues; and

• use/development of administrative data.

Statistics and Registration Service Act 2007 – Key Provisions

1. Creation of a new body – the Statistics Board, a non-Ministerial Department reporting directly to Parliament

2. Remit covers the whole UK statistical system

3. Overall objective: “To promote and safeguard the quality of official statistics that serve the public good”

4. ONS to become the ‘executive office’ of the Board

Statistics and Registration Service Act 2007 – Key Provisions

5. National Statistician the Chief Executive of the ‘executive office’

6. Robust confidentiality regime

7. GRO and NHSCR to move elsewhere within Government ; Statistics Commission abolished

8. Cabinet Office takes over residual Ministerial responsibilities

Main responsibilities of the Statistics Board

• Monitoring and reporting on all official statistics

• Development of Code of Practice• Assessment of National Statistics• Oversight of ONS (the ‘executive office’)

responsible for statistical production • Reporting to Parliament

Code of Practice & Assessment

• Act requires the Statistics Board to prepare, adopt and publish a Code of Practice

• Existing National Statistics will remain as National Statistics until re-assessed for compliance against this new Code

• Candidate National Statistics will be assessed against the Code at the request of Ministers

• Act allows for assessment to take place using the existing Code

• Statistics Board must prepare and publish a programme for assessment and re-assessment

Data Sharing

Act will allow two-way sharing of data between Statistics Board and public authorities/Devolved Administrations for statistical purposes, subject to the following safeguards:-

(i) only possible where otherwise prohibited by law or public authority/DA has no power;

(ii) subject to bilateral Ministerial agreement;

(iii) sharing only for specific purposes and subject to public interest test; and,

(iv) Parliamentary approval

Data Sharing - Key Issues

• Legal basis;

• Access and legal rights;

• Confidentiality;

• Importance of public approval;

• Unified identification code systems; and

• Co-operation among administrative authorities.

Preparing a Draft Regulation

Special attention will need to be given to:-

• understanding the present legal barriers to sharing;

• defining each data item to be shared;

• preparing a business case to show why each data item is needed;

• explaining the benefits associated with access to each data item; and

• demonstrating the public good.

Requirements for Administrative Data - General

• To inform policy formulation and review;

• To support resource allocation;

• To improve service planning and delivery;

• To enhance research and analysis.

Requirements for Administrative Data - ONS

• To improve population and migration statistics;• To facilitate work on 2011 Census;• To support validation and quality assurance;• To respond to increasing demands for more

sophisticated statistics/analysis;• To reduce respondent burden; and• To meet efficiency targets.

Administrative Data Development and Data Sharing

Working to develop a strategic plan or roadmap by:-

• understanding needs and benefits;

• developing criteria for determining priorities;

• setting up procedures to deal with ethical issues;

• establishing appropriate technical environment(s); and

• researching the feasibility of linking/matching.

Next Steps

• Developing coherent work programme;• Undertaking pilot/feasibility work;• Evaluating alternative methods of data linkage and

matching;• Considering data processing issues;• Understanding technical/infrastructure

requirements; and• Obtaining resources.

THANK YOU



Tea and CoffeeTea and Coffee

Oct 2007

Small Area Geography (OAs & SOAs) Consultation

Findings&

approach

Alistair Calder

Oct 2007

background

results

proposed policy

backgroundOutput Areas created in 2002 for

Census

Adopted as the base of NeSS Geography – Super Output Areas

built 2004

‘Review’ promised

Consultation Nov ’06 – Feb ’07

Widely publicised – online consultation & ‘blog’ – great

response

results and outcomenow published

graphs

necessarily over-simplified

Strongly supportive of stability(but what kind of stability – at what level?)

Strongly supportive of stability(but what kind of stability – at what level?)

OAs and SOAs considered ‘useful’

OAs and SOAs considered ‘useful’

National consistency important

UK consistency rather less – but still considered very important by many

(note the disclosure relationship)

Consistency between 2001 – 2011 considered very important by many

(definitions particularly at micro-level may differ)noise screws it up - critical - population

Redrawing from scratch supported by only a very few

academics & commercial a little less bothered but but almost noone agrees strongly

Redrawing from scratch supported by only a very few

PostcodesPopular with the commercial sector, fairly popular with most

Physical featuresFairly popular with most

Admin boundariesAgain fairly popular with mostcertainly local – commercial lessbothered

NeighbourhoodsFairly popular with some butweaker

Grid squaresNot really

.

Quite popular

A little weaker

Some support but weak

Commercial sector not bothered but otherwise quite popular

Very little support

Some interest – note academic &commercial interest

Some interest – commercial & health lukewarmSome concern over OS licensingimplications

Most don’t know either way

Very important !

Very important !

Mixed views – though some feel stronglySomething of a minefield – but more work to do

Only 43% of respondents report any problems (!)

HOWEVER this reflects micro analysis – those who have really used them have spotted problems – but not everyone (even in local agencies) are bothered

.

headlinesgreat response

very full response – lots of thinking

very positive – supportive

CONFLICTING CALLS ON THE POLICY

stability (with caveats)

Proposed Policy

options

keep SOAs, keep OAs

keep LSOAs, build new OAs

keep MSOAs, build new OAs

redraw from scratch, SOAs, OAs

options

keep SOAs, keep OAs


keep MSOAs, build new OAs

redraw from scratch, SOAs, OAs

options

keep SOAs, keep OAs


‘stability’some acceptance

changebetter units for 2011 ?

keep the OAs change the OAs

options







?

and conform with disclosure control limits & provide a ‘free’ geography

key argumentthere are some obvious attractions

to stability at LSOA level

it would be possible to build a ‘better’ geography but – not ‘better’

enough

conflicting calls remain

advantages of stability outweigh potential gain

keep both OAs & SOAs stable

split and merge them to take account of population change (BUT ABSOLUTE

MINIMUM) (Disclosure policy dependency – informed by work with Southampton University –

Any loosening on disclosure would all but remove the need for mergers)

develop criteria for allowing MINIMAL change where OAs can be proven to be

misrepresent(criteria driven – not percentage driven –criteria will be tough and LESS than 5% if possible

. Policy / criteria to be developed in conjunction with maintenance research with Southampton)

we will …

geography

disclosurecontrol

outputpolicy

we will …sort the Scottish border issue

sort out extent of the realm

press for easy licensing of OA boundaries

provide digital boundaries

and …research on alignment with OS

NO upper layer SOAs in foreseeable

business SOAs not currently a priority

proposal on names

Questions Comments

?

specific topicsnames

communal establishments

unoccupied land

business output areas

alignment with MasterMap

fin



Implementing the Local Government White Paper

Guy Weir, Local Development and Renewal, CLG

The Local Government White Paper

Strong and prosperous communities – The Local Government White

Paper was published on 26 October 2006. Its’ principal aims were to

enable effective local services and to create better places, through new

relationships and better governance, by:

• promoting more responsive services and empowered communities;

• advocating a stronger role for local authorities as leaders and place-

shapers;

• promoting stronger and more stable local authority leadership;

• supporting councillors in their role as democratic champions;

• fundamentally rebalancing the central-local relationship;

• promoting community cohesion; and,

• developing the economic prosperity of our towns, cities and regions.

Overview

LGWP makes several commitments around evidence and information:

• LAA negotiation to be evidence based around the 200 indicators

• Encouragement for better use of local information

• Efficient mechanisms to gather and exchange information

• Reduced burden of indicators

• Better reporting to citizens

Overview







Reporting Local Authority Performance to Citizens

Research Background

Research to investigate how local authorities report their performance to citizens and what support is available to assist them with this task.

The research will;• Investigate the range of local authorities providing information on their

performance to citizens and the nature of this reporting

• Identify the advice and support available to assist local authorities in reporting their performance to citizens

• If required, produce practical guidelines for local authorities around performance reporting to local citizens

Reporting Local Authority Performance to Citizens

Phase 1: to inform a policy options paper for the Secretary of State.

• Review of Literature and Guidance

• Consultation with national stakeholders – Audit Commission, CLG, IDeA, LGA

• Light Touch Case Studies - Interviews with around 40 local authorities.

• In-Depth Case Studies - Six local authorities as being examples of best practices as identified in the light touch case studies.

• Citizens Focus Group

Phase 2: Is dependent on the outcome of phase 1

• Guidelines – if required

• Workshops – consultation with local authorities to produce guidelines

Overview







LGWP has ushered in a complete overhaul of the local performance monitoring system

Reduced the number of targets that Local Authorities will have to report to 53 (inc.18 statutory Education targets, and 35 to be negotiated) to be chosen from a new common set of 200 performance indicators. This in turn will reduce the data collection burden.

There is now duty on Local Strategic Partnerships to work together towards delivery of priority outcomes.

The Local Government White Paper

Overview







Data Interchange - Current

Places dB

DfES Home Office DCLG ONS AuditCommission

LA

LSP

LA

LSP

LA

LSP

LA

LSP

Reg Obs

OGDs

Methods:•web hunt, cut & paste•Email•CD in post

Home

LAs hunt for, or submit data…

Departments hunt for data..

…and exchange

locally

Data Interchange – Long term vision + GovConnect

Places dB

DCSF Home Office DCLG ONS AuditCommission

LA

LSP

LA

LSP

LA

LSP

GCSx

Hubs

LA

LSP

CentralServices

Reg Obs

MethodsDirect system to

System XML(OR in interim existing to hubs)

GSi

Home

OGDs Inspectorates

Discovery Service

Places dB

LSP

CentralSearchEngine

CLG

LSP

Repository

Catalogue LA

Observatory

LA

PCT

1. Are there any data on this issue?

2. Looks like there might be! And I am authorised

3. Yes, that’s it – let’s slot it in here!

4. Perfect - that completes the report!

1

2

34

HomeLocal system http://www.esd.org.uk/forums/viewforum.php?f=184

The North West Pilot

Aims:

• Trial the production and management of LAAs in the NW

• Improve the operational mechanisms for the delivery and sharing of indicators

Pilot collaboration between GONW, Cumbria, Lancashire, Oldham, Wigan and CLG.

Running now – working model by October 2007

Website set up to engage and consult with wider audience

Oldham

Data Interchange – The North West Pilot

Places dB

DfES OGDs DCLG ONS AuditCommission

LAs

LSPs

Hants CC& Districts

LSPs

CentralServices

SW Reg Ob

XML data interchange hub

Lancs CC& Districts

LSPs

Wigan

Cumbria

Existing Pilots North West Pilot

GOs

GO NW

Overview







Improving Capacity for better use of local information

Feeds into the Joint Improvement Strategy (cross Govt and LGA)

• Supporting capacity of LSPs and partners to use information todeliver better outcomes for

Performance monitoring Operational management Service delivery

• Support regionally and locally the analytical skills and analytical capacity of Local Authorities and their partners

Through• Consolidating learning via project called Supporting Evidence in Local Delivery

(SELD) see renewal.net

• Joint work with Audit Commission, GOs, LGA and Regional Improvement Partnerships

• Linking with work on Local Information Systems and Data Sharing

Local Information Systems

As set out in the LG white paper, the CLG is committed to supporting Local Information Systems (LIS).

An initial research report (published 2006) set out the role and characteristics of LIS and provided recommendations for support activities to be facilitated by central government.

Key characteristics of LIS:

• Frequently brings together data from a range of local partners as well as nationally sourced statistics

• Often more up-to-date and/or at a finer geography than national sources

• Hold a range of statistical data and some performance management data

• Informs strategy development and performance monitoring locally though could do more to enhance all stages of policy development

CLG aim to enable, encourage and support Local Authority’s to developand run their own LISs - not prescriptive.

• A set of Network activities is being established to support managers and others with a stake in LIS. First meeting was in May, next meeting to be held in Manchester November 15th 2007 (email [email protected] for details). • A discussion forum to share views and experiences has been set up. Please register @ http://www.esd.org.uk/esdtoolkit/Register.aspx

Further aims include:Enabling automated data updates in LIS

Linking LIS with Performance Management SystemsVisualisation challenges presented by LIS development (e.g. dynamic maps)Mapping the regional and sub-regional LIS relationshipsSpecifying an LIS – costs & benefits

For more information related to LIS please contact [email protected]

Local Information Systems

mailto:[email protected]

http://www.esd.org.uk/esdtoolkit/Register.aspx

mailto:[email protected]

Overview







Small area evidence needs for Local Area Agreements

The 200 indicators will be reported routinely at LAD level, but LAs and partners themselves will undoubtedly want to drill down to more detail when monitoring the 200. (Dissaggregation by sub-group – gender, ethnicity, geography etc.)

Small area data will also help provide detailed supporting information around the 200 indicators.

Each LAA will contain up to 35 targets chosen via negotiation between LA and GO. With so few targets, detailed evidence will be critical in order for areas prioritise which targets to set.

For areas within which there is a clear deprivation gap between areas, LAAs are likely to require targets which focus on improving outcomes for the people living in those deprived areas, in order to close the gap.

Not forgetting that Neighbourhood Statistics will make an invaluable contribution after targets are set, when partners are faced with the task of doing the work!

LAA Timetable

October – CSR announcement including indicator set

Early November: indicator technical definitions consultation

October – January: Guidance documents on LAAs and place shaping

January: Final technical definitions

2008-9: Refreshed LAAs – up and running!



Now: Buffet Lunch (in this room)Now: Buffet Lunch (in this room)

Next: Users Interaction (Room 2000)Next: Users Interaction (Room 2000)



Titles are hard

10 minutes on a complex problem.

No magic solutions

Research

• Reading is 25% slower on screen http://www.acm.org/ubiquity/views/v6i40_cameron.html

• People scan they do not read – 79% scan a new page for information. http://www.useit.com/alertbox/9710a.html

• People scan web pages in a F pattern. Put your key words in the first two words to ensure people read it. http://www.useit.com/alertbox/reading_pattern.html

• Repeating the same phrase obscures the content.

Example

http://www.acm.org/ubiquity/views/v6i40_cameron.html

http://www.useit.com/alertbox/9710a.html

http://www.useit.com/alertbox/reading_pattern.html

Example•VAT Based Enterprises by Age of Business

•VAT Based Enterprises by Broad Industry Group

•VAT Based Enterprises by Broad Industry Group: Rural

•VAT Based Enterprises by Broad Industry Group: Urban

•VAT Based Enterprises by Employment Size Band

•VAT Based Enterprises by Employment Size Band: Rural

•VAT Based Enterprises by Employment Size Band: Urban

•VAT Based Enterprises by Public/Private Status: Single/Multi Site

•VAT Based Local Units by Broad Industry Group

•VAT Based Local Units by Broad Industry Group: Rural

•VAT Based Local Units by Broad Industry Group: Urban

•VAT Based Local Units by Employment Size Band

•VAT Based Local Units by Employment Size Band: Rural

•VAT Based Local Units by Employment Size Band: Urban

•VAT Based Local Units by Public/Private Status: Single/Multi Site

Too much? too little?

• Home Student Enrolments on Higher Education Courses at Publicly Funded Higher Education Institutions (Referenced by Location of Student Residence) (2001 - 2002)

• Vital Statistics 1998

Task

Testing of the website with in-house staff

Task 1: Create a table showing all regions in England, and displaying the number of thefts from a vehicle in each one.

Task

• Local Crime Data (Selected Offences): Information from Individual Police Forces

• Local Crime Data (Selected Offences): Information from Crime Partnerships

• Notifiable Offences Recorded by the Police

Regional

Review

Review

• What are the three main points that you will remember from this session?

Marketing Neighbourhood Statistics and your data

Dave Blythe

Head of Strategy and Business Support

What I’m going to cover :

• Costs of Neighbourhood Statistics (NeSS);• Awareness of NeSS – MORI data over 3 years;• Position of NeSS in wider information market;• Promotional activity for NeSS;• Developing nuggets to promote the data they

supply;• 5 minutes for your thoughts on raising

awareness;

NeSS – Key Costs of 5 Year Programme

• Total £86m over 5 years

• Web-site development - £33m – 38% of costs– Inc OS Licences and capital costs– (£0.5 m a year to enhance/maintain)

• Data supply costs - £26m – 30% of costs

Awareness of NeSS – some statistics:

• MORI survey over past 3 years

• Awareness data from MORI

Methodology• 1,000 current and potential NeSS clients

interviewed by telephone between 13 December 2006 and 26 January 2007

• Sample included:– Regeneration organisations funded by NRF

e.g. Street Wardens and LSPs (including some who no longer receive funding from NRF)

– Local and regional regeneration specialist organisations

– Other local and regional organisations– National organisations

• Quotas to ensure a wide spread of relevant organisations

Awareness and usage of NeSS has declined

Wave 2

Unaware of NeSS

NeSS aware non-users

Non-regular and lapsed NeSS users

Regular and recent NeSS users

Wave 1

Base: All respondents: Wave 1 (1,109); Wave 2 (1,009); Wave 3 (1,000)

19%

7%

25%

49%

22%

6%

26%

46%

Wave 3

26%

43%

22%

9%

But…. a significant increase in proportion of frequent users

All or most days

Once or twice a week

Once or twice a month

Once every 2 to 5 months

Once every 6 months

Q How often have you visited the Neighbourhood Statistics website in the past twelve months?

Less often than once every 6 months

Base: All who have visited the website in the last 12 months: Wave 1 (793); Wave 2 (716), Wave 3 (628)

Wave 1

Wave 2Wave 3

9%

26%

35%

20%

6%

3%

6%

26%

36%

20%

8%

3%

5%

25%

36%

21%

8%

4%

Profile of frequent users

Base: All respondents (1,000)

1-5 years6-10 years11+ years

Length of using NeSS type information:

Experience of statistics:No/little experienceA reasonable amountA lot

Wave 3

Awareness of redesign:

Not awareAware

Size of organisation:

21-50Under 20

51-250250+

48%24%23%

78%

6%41%

4%8%

79%

53%

20%

7%

Q How often have you visited the Neighbourhood Statistics website in the past twelve months?

66%

75%

81%

65%

59%

70%

71%

71%

61%

73%

75%

53%

Significant increase in number of frequent users among core organisations

Base: All who have visited NeSS during the last 12 months: wave 3 (628); wave 2 (716); wave 1 (793)

NRF funded regeneration

Non-NRF funded regeneration

Local authorities

Organisation type:

Other locally focussed

Wave 2Wave 1 Wave 3

57%

Size of organisation:

Organisation type:

Under 2021-50

NRF funded regenLSPs – NRF funded regen

Non-NRF funded regenOther locally focussed

LAs

51-250250+

YesNo

Aware of NeSS redesign:

Yes

No

Don’t know

36%

40%

53%

46%

11% 14%

Registration levels stable at two in five

Q. Are you a registered Neighbourhood Statistics user?

Base: All NeSS users : Wave 1 (818); Wave 2 (734); Wave 3 (655)

W 1 W 2

41%

46%

13%

W 3

Wave 2

Q Is there a reason why you haven’t been using the website?

Base: All aware of NeSS but have not used it in last 18 months or have never used it (103)

No need/never used

Someone else searches website for me

Use other sources of information

Too busy/lack of time

Other

Don’t know

16%

20%

36%

14%

12%

6%

Wave 3

39%

28%

21%

3%

8%

1%

Using other sources of information is the main reason for not using NeSS

Wave 3

66%

38%

27%

25%

20%

16%

13%

12%

LAs remain the most commonly used alternative source for non-users

Local Authorities

Central Government Departments

Local Service Providers

Primary Research

Regional Government

Q What sources of information do you currently use to find local area information such as levels of deprivation, crime, unemployment etc?*

Base: All non-users: Wave 1 (289); Wave 2 (275); Wave 3 (358)

Charities

Local/National press

Wave 1

Wave 2

Private companies *mentions below 10% not shown

6%

59%

30%

9%

16%

15%

6%

18%8%

13%

75%

50%

24%

38%

23%

19%

NeSS is still only most important source for one in four

It is the most important source

It is important, but there are other equally important sources

It has some importance, but there are other more important sourcesIt is not important compared with other sources

Q Which one of these statements best describes your views about NeSS as a source of local area statistics compared with other sources?

Don’t know

Base: All NeSS users: Wave 1 (818); Wave 2 (734); Wave 3 (655)

Wave 2

24%

57%

17%

1%

*%

Wave 3

27%

58%

13%

1%

1%

Position of NeSS is wider information market

• Official source of high quality small area statistics available on a nationally consistent basis.

BUT there are other complimentary sources:

• Nomis (Labour Market Statistics)

• Local Information Systems

• Floor Targets Interactive (FTI)

• Audit Commision (Area Profiles)

• NeSS in Scotland and Northern Ireland

Promotional activity for NeSS

• Events eg, LARIA, LGA Sustainable Communities, Data Suppliers Open Day, others

• Key Data Releases• Campaigns – NDCs, LiS, Education?• Outside hooks – ‘Focus on London’ Olympics,

Census 2011, others• Articles – Relay, Regional Trends, Burisa, Regen &

Renewal, others• Links to other complementary web-sites• Nuggets – stories about your data

Any questions??

Your thoughts:

• 5 minutes on your thoughts for raising awareness of Neighbourhood Statistics in your (or other) organisations.

My contact details

• Dave Blythe• Head of Strategy and Business Support• Tel; 01329 813174• E-mail: [email protected]



Question TimeQuestion Time



Thanks for comingThanks for coming

Documents

Thursday October 11 th 2007