Innovations in population statistics What weve done and whats to - - PowerPoint PPT Presentation

innovations in population statistics
SMART_READER_LITE
LIVE PREVIEW

Innovations in population statistics What weve done and whats to - - PowerPoint PPT Presentation

Innovations in population statistics What weve done and whats to come Ian Cope Director, Population & Demography, ONS 1 Population and migrations statistics at ONS: Overview My role About the Population and Demography


slide-1
SLIDE 1

Innovations in population statistics

What we’ve done and what’s to come Ian Cope Director, Population & Demography, ONS

1

slide-2
SLIDE 2

Population and migrations statistics at ONS: Overview

  • My role
  • About the Population

and Demography directorate at ONS

  • Approximately 400

people, producing range of outputs including Population Estimates, the Census and Life Events

2

slide-3
SLIDE 3

I’ll be talking about innovations in…

  • 2011 Census
  • Population Estimates and Vital Statistics
  • Data Accessibility
  • ‘Beyond 2011’

3

slide-4
SLIDE 4

2011 Census

4

slide-5
SLIDE 5

New questions to reflect changes in who we are, how we live and information needs

  • National identity
  • Main language and ‘How well can you speak

English’

  • Passports held (citizenship)
  • Second residences
  • Intention to stay and when last arrived
  • Number of bedrooms

5

slide-6
SLIDE 6

New Questions

National identity

6

slide-7
SLIDE 7

New Questions

Language

7

slide-8
SLIDE 8

Percentage of the population speaking English as a main language

8

slide-9
SLIDE 9

It also enables others to produce some fascinating data visualisations

Created by Oliver O’Brien (UCL Geography,/ UCL CASA)

9

slide-10
SLIDE 10

New Questions

Passports

10

slide-11
SLIDE 11

http://www.ons.gov.uk/ons/interactive/census-map-3-1---country-of-birth-and-passports---2011-only/index.html

Interactive outputs clearly show some interesting insights

11

slide-12
SLIDE 12

Alternative population bases

  • The standard information produced is on a usual resident basis
  • However, to plan many services there is a need for information on

alternative population bases (e.g. for planning daytime emergency services in central London)

  • 2011 Census information was made available for the following

alternative population bases:

  • Short-term residents
  • Workday population (known as ‘daytime population’ in 2001)
  • Workplace population
  • Out of term population

12

slide-13
SLIDE 13

Short term residents

  • Population resident in an area who are non-UK born

and intend to be resident in the country for 3-12 months.

  • Derived from the ‘length of stay in the UK’ question

asked of non-UK born residents who arrived within the last year.

13

slide-14
SLIDE 14

Short term residents

Nearly 70% (135,000) of short term residents were aged 15 to 29, compared to 20% (11.2m)

  • f the usual resident population

India, China and the United States are the 3 most popular countries for both country of birth and passports held for STRs. 14 Age distribution of non-UK born short-term residents compared to usual residents in England and Wales, 2011

Age distribution Countries of birth

Top ten countries of birth for STRs in England and Wales, 2011

slide-15
SLIDE 15

Short term residents

Proportions

  • The 2011 Census recorded 195,000 non-UK born

short-term residents (STRs) in England and Wales

  • This is 35 STRs per 10,000 usual residents
  • The ratio for London was more than twice the national

level at 84 STRs per 10,000 usual residents

Regional variations by sex

  • Percentage of national total STRs by sex for

English regions and Wales, 2011 15

20 40 60 80 100 North East North West Yorkshire and the Humber East Midlands West Midlands East of England London South East South West Wales England and Wales Short-term residents per 10,000 usual residents

Percentage of national total STRs by sex for English regions and Wales, 2011

slide-16
SLIDE 16

Workplace population

  • Population working in an area

based on workplace location

  • A geographic redistribution of

those in employment to their place

  • f work
  • Derived from the ‘workplace

address’ question asked of those who are in employment

16

slide-17
SLIDE 17

Workplace population

Age of workplace population

The workforce in London was younger, with 54 % of the workplace population aged 39 or below, compared with 45% in the rest of England and Wales

Highest level of qualification

17 London had a high proportion of level 4 and above qualifications – almost 50 %

slide-18
SLIDE 18

Interactive workplace population data

http://www.ons.gov.uk/ons/interactive/census-2011--workplace-population-maps/index.html 18

slide-19
SLIDE 19

Out of term population

  • Population resident in an area out
  • f term-time
  • A geographic redistribution of the

student population to where they live

  • ut of term-time
  • Derived from the ‘second address‘

question for full-time students who live at a different address out of term-time, and their reason for stay at second address

19

slide-20
SLIDE 20

Out of term population

How many? Biggest losses - LAs

Oxford and Cambridge had out of term populations more than 10% below their usually resident populations. The out of term population of England and Wales was 56.0 million in 2011; this was 125,000 lower than the usually resident population. The difference was due to residents of England and Wales with an out of term address in Scotland, Northern Ireland or outside the UK. Of these, 81% (101,000) were aged 16 to 24.

660,000 680,000 700,000 720,000 740,000 760,000 780,000 800,000 Age 13 Age 15 Age 17 Age 19 Age 21 Age 23 Age 25 Age 27 Age 29 Age 31 Usual residents Out of Term

20

slide-21
SLIDE 21

Second residences

21

http://www.ons.gov.uk/ons/interactive/census-map-1-3/index.html

Waiting for new image I have sent myself to arrive in mailbox

slide-22
SLIDE 22

2011 Census Analysis

Category Analytical articles

Health and social care

16

Migration and demography

19

Ethnicity, national identity, language and religion

8

Labour market, housing and qualifications

10

Travel to work and other geographic analysis

9

62 articles including:

  • Coastal communities
  • The largest health gaps between

socio-economic classes are found in big cities

  • Gender gap in unpaid care provision
  • Growth in cycling in major cities

identified by the 2011 Census

  • Characteristics of home workers
  • Stepfamilies, 2011
  • 170 years of industrial change across

England and Wales

  • A century of home ownership in

England and Wales

22

slide-23
SLIDE 23

23

slide-24
SLIDE 24

A recent example

24

slide-25
SLIDE 25

An international context

Provision of data to Eurostat

  • 60 data hypercubes
  • 21 quality cubes
  • Information held locally and accessed by

Eurostat via a web service (API)

25

slide-26
SLIDE 26

26

slide-27
SLIDE 27

27

slide-28
SLIDE 28

Availability of European level data also puts

  • ur information in context

28 Population growth rate

slide-29
SLIDE 29

Innovations in Population Estimates and Vital Statistics

  • Migration Statistics Improvement Programme
  • Migration Statistics Quarterly Report
  • Changes to the International Passenger

Survey (IPS)

  • Longitudinal Study

29

slide-30
SLIDE 30

Migration Statistics Improvement Programme (MSIP)

Migration and Population Statistics IPS Census and, LFS and IPS used to create distributions Complex methodology Confused messages between departments

Situation before MSIP

30

slide-31
SLIDE 31

Impact of improved distribution of international immigration on inter-censal discrepancies (E&W)

50 100 150 200 250 300 350 400 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 Average Absolute distance Age in 2011 Original Males Improved Males

31

50 100 150 200 250 300 350 400 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 Average absolute distance Age in 2011 Original Females Improved Females

  • Note. For each single year of age this chart shows the average absolute distance between the MYEs

and the Census. A smaller distance means the MYEs are closer to the Census.

slide-32
SLIDE 32

MSIP - Summary

  • Before-MSIP

Migration and Population Statistics IPS Census and, LFS and IPS used to create distributions Complex methodology Confused messages between departments

  • Now

Migration and Population

Statistics

Improved IPS

Use of administrative data

Transparent

methodology

Coherent reporting

Data sharing

32

slide-33
SLIDE 33

Migration Reporting – how it was

  • 40 separate publication dates from

government departments in 2007

  • Published data sometimes gave conflicting

messages as a result of different

  • Definitions
  • Time periods
  • Coverage

33

slide-34
SLIDE 34

Coherent Migration Reporting

  • Migration related statistics published on pre-

announced quarterly dates (DWP, HO, NRS & ONS)

  • Published in the Migration Statistics Quarterly

Report (MSQR)

  • Single point of access (ONS website)
  • Analysis and commentary to outputs (inc

definitional differences)

34

slide-35
SLIDE 35

MSQR improvements

  • In 2011 customers told us that:
  • the MSQR had become too long
  • it was difficult to identify key messages
  • more analysis and commentary were needed
  • As a result:
  • MSQR was restructured and provided increased information
  • n reliability, and more detail on LTIM
  • Enhancements were made to quarterly charts and

underlying data published on stocks

  • Reports on emigration and population by COB and

nationality were included

  • In 2014 a further review resulted in a reduction

in bulletin length

35

slide-36
SLIDE 36

Improvements to the International Passenger Survey (IPS)

2008

  • IPS boost to include specific additional migration shifts at further airports
  • A new survey design developed with a larger, main migration sample and a

sub-sample for interviews collecting data for balance of payments and tourism statistics

2009

  • Several major improvements including:
  • Migrant sample size increased by around 50%
  • Overall standard errors for total inflows and outflows reduced from around 4%

to under 3% for inflows and from over 5% to under 3.5% for outflows

  • More balanced migrant sample

36

2007

  • Increased number of outflow contacts from under 800

to over 2,300

slide-37
SLIDE 37

Further improvements to the IPS

  • New question asking emigrants who were previous

immigrants about their previous main reason for immigration (since 2012) to identify students leaving

  • We also now record for those immigrating for study

the sector in which a migrant is coming to study (since 2014)

  • We have made further changes to the sample design
  • e.g. extra shifts on route between Dunkirk and Dover to

capture Romanian and Bulgarian migrants

37

slide-38
SLIDE 38

About the Longitudinal Study

  • A 1% sample of people in England

& Wales

  • Uses census and linked

information from vital registration systems

  • The original LS sample was taken

from the 1971 Census using four annual birth dates. Information for these individuals was then updated using the 1981, 1991 and 2001 Censuses

38

slide-39
SLIDE 39

LS census samples for analysis

513,000 530,000 535,000 537,000 582,000 409,000 421,000 418,000 423,000 327,000 332,000 335,000 257,000 200,000 263,000 1 census 1971 1981 1991 2001 2011 2 censuses 3 censuses 5 censuses 4 censuses

39

slide-40
SLIDE 40

Innovations in data accessibility

  • Infographics bringing the data to new

audiences (wider and less technical)

  • Interactive Data Visualisations
  • Use of social media
  • New tools to provide open datasets, making it

easier to find and re-use the data (Data Explorer and API)

40

slide-41
SLIDE 41

Infographics

41

slide-42
SLIDE 42

Infographics

Examples

42

slide-43
SLIDE 43

Infographics

Examples

43

slide-44
SLIDE 44

Interactive content

http://www.neighbourhood.statistics.gov.uk/HTMLDocs/dvc128/wrapper.html 44

slide-45
SLIDE 45

New channels: social media

@ONS

45

slide-46
SLIDE 46

ONS Data Explorer

Making it easier for users to find relevant datasets

  • What datasets are available

about age, sex and health?

  • What datasets are

available for these areas?

46

slide-47
SLIDE 47

ONS Data Explorer

Viewing data on-line

  • View online as a table, chart or map
  • Or download the data onto your own system in csv, xls
  • r xml

47

slide-48
SLIDE 48

The ONS Open API

API - Application Programming Interface

  • enables other systems and applications to programmatically access and re-

use ONS data

  • encourages others to provide ONS data in their own applications to their

users in innovative and different ways

  • extends the reach of ONS data

Winner of Accountability Hack 2014 48

Over 300 registered users to far ‘Hack days’ and other engagement

slide-49
SLIDE 49

Innovations in population statistics

Beyond 2011

49

slide-50
SLIDE 50

Beyond 2011 : Full range of approaches assessed

Aggregate analysis Full (100%) linkage Partial (1%?) linkage Address register + Survey Administrative data options Full Census (long form to everyone) Rolling Census (over 5/10 year period) Short Form (everyone), Long form (Sample) Short Form + Annual Survey (US model) Census

  • ptions

Survey

  • ption(s)

50

slide-51
SLIDE 51

Beyond 2011 : Two potential approaches

A census once a decade

  • like that conducted in 2011,

but primarily online A census based on administrative data and large annual surveys

  • 51
slide-52
SLIDE 52

National Statistician’s RECOMMENDATION

  • An online census of all households and communal

establishments in 2021 - with support for those who are unable to complete the census online.

AND

  • Increased use of administrative data and surveys in order

to enhance the statistics from the 2021 census and improve annual statistics between censuses.

  • Make the best use of all available data to provide the population

statistics required and

  • offer a springboard to the greater use of administrative data and

annual surveys in the future.

52

slide-53
SLIDE 53

The evidence

 Statistical research - population estimates  Statistical research - population characteristics  Public acceptability  Data linkage methods  Legislation  Independent review - Skinner and international review Public discussions and the consultation 30+ papers published – Search “Beyond 2011”

53

slide-54
SLIDE 54

Beyond 2011 Programme conclusions

  • Huge potential for use of administrative data
  • But not there yet
  • Way forward agreed with Government
  • Online Census in 2021
  • With increased use of administrative / survey data
  • Government ambition that 2021 Census

should be the last

  • subject to evaluation of alternatives in 2021

54

slide-55
SLIDE 55

Three key strands going forward

1. 2021 online Census operation

  • Research, development, implementation & operation of a 2021
  • nline Census
  • Maximise online response, minimise digital exclusion

2. Integrated population statistics outputs

  • Integration of census, admin & survey data

=> Production of more detailed and more frequent outputs

  • Early benefit 2015 onwards: pop estimates and

characteristics

3. Beyond 2021

  • Ongoing development of new methods using administrative

data and surveys

  • Evaluation against 2021 census outputs
  • Dependent on data access and data quality

55

slide-56
SLIDE 56

Eight programme phases

  • 1. Research (Jan 2011 – Mar 15)
  • 2. Design and prototyping (ends Dec 2016)
  • 3. Testing (2017)
  • 4. Development (2018)
  • 5. Rehearsal (Jan 2019 – Jun 2020)
  • 6. Collection operations (Jul 2020 – Dec 2021)
  • 7. Analysis, output and dissemination (22-23)
  • 8. Evaluation / future planning (23-24)

56

slide-57
SLIDE 57

Planning milestones for the next 10 years

Census topic consultation begins Census White Paper Census Rehearsal Census Test? Census Day Census Order/Regs Enhanced Outputs Census Coverage Survey Options research

2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023

Interim Outline Business Case Review point 2031 approach NS Recommendation Determine role

  • f admin data in

2021 Review admin data progress to 2031 Census small scale tests Data sharing White Paper? Regular

  • utputs

update? Admin research Final Outline Business Case Full Business Case

57

slide-58
SLIDE 58

Comparison of PR against 2011 Census estimates Comparison of CIS against 2011 Census estimates

58

slide-59
SLIDE 59

SPD 5

Admin data method lower than 2011 Census Admin data method higher than 2011 Census 59

slide-60
SLIDE 60

Population Pyramids using admin data

0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85-89 90+ 2.5 2.0 1.5 1.0 0.5 0.5 1.0 1.5 2.0 2.5

population (millions)

Administrative data method population pyramid with Census comparison: England & Wales

Admininstrative data method Census Males Females Admininstrative data method Census

SPD 5

60

slide-61
SLIDE 61

SPD 5

0-4

61

slide-62
SLIDE 62

SPD 5

1-4

62

slide-63
SLIDE 63

Using only PR for 0-4 year olds

SPD 9

1-4

63

slide-64
SLIDE 64

SPD 5

5-15

64

slide-65
SLIDE 65

SPD 5

16-64

65

slide-66
SLIDE 66

SPD 5

16-35 36-64

66

slide-67
SLIDE 67

SPD 5

65+

67

slide-68
SLIDE 68

Percentage difference between administrative data approach and 2011 Census estimates – Output Area level

2 4 6 8 10 12 14 16 greater than -15% lower between -15% and -14% between -14% and -13% between -13% and -12% between -12% and -11% between -11% and -10% between -10% and -9% between -9% and -8% between -8% and -7% between -7% and -6% between -6% and -5% between -5% and -4% between -4% and -3% between -3% and -2% between -2% and -1% within 1% between 1% and 2% between 2% and 3% between 3% and 4% between 4% and 5% between 5% and 6% between 6% and 7% between 7% and 8% between 8% and 9% between 9% and 10% between 10% and 11% between 11% and 12% between 12% and 13% between 13% and 14% between 14% and 15% greater than 15% higher

%

0%

88% of OAs within +/-10% Ave 30 people 62% of OAs within +/-5% Ave 15 people

68

slide-69
SLIDE 69

Comparison of Percentage of Households of Each Size for selected LAs

Percentage of Households Household Size

1 2 3 4 5+ 10 20 30 40

Birmingham

10 20 30 40

Boston

10 20 30 40

Bournemouth

10 20 30 40

Brent

10 20 30 40

Cambridge

10 20 30 40

Camden

10 20 30 40

Cardiff

10 20 30 40

Ceredigion

10 20 30 40

Cheshire East

10 20 30 40

Chesterfield

10 20 30 40

Coventry

10 20 30 40 1 2 3 4 5+

East Devon

1 2 3 4 5+ 10 20 30 40

Eastbourne

10 20 30 40

Forest Heath

10 20 30 40

Herefordshire, County of

10 20 30 40

Hillingdon

10 20 30 40

Kensington and Chelsea

10 20 30 40

Kingston upon Thames

10 20 30 40

Lambeth

10 20 30 40

Leicester

10 20 30 40

Manchester

10 20 30 40

Newcastle upon Tyne

10 20 30 40

Newham

10 20 30 40 1 2 3 4 5+

Northumberland

1 2 3 4 5+ 10 20 30 40

Oxford

10 20 30 40

Powys

10 20 30 40

Reading

10 20 30 40

Richmondshire

10 20 30 40

Rotherham

10 20 30 40

Stratford-on-Avon

10 20 30 40

Tonbridge and Malling

10 20 30 40

Waltham Forest

10 20 30 40

Warwick

10 20 30 40

Waveney

10 20 30 40

Westminster

10 20 30 40 1 2 3 4 5+

Wirral

Administrative Data Method Census

slide-70
SLIDE 70

2011 Census ethnicity English School Census ethnicity

White British Irish Irish Traveller/ Gypsy/Romany Indian Bangladeshi Pakistani White and Asian Other Asian Chinese African White and Black African Caribbean White and Black Caribbean Other White Other Black Other Mixed Other Ethnicity Missing Total (denominator) White British

95% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 2% 0.50% 0.50% 0.50% 2% 5,048,672

Irish

41% 47% 1% 0.50% 0.50% 0.50% 1% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 5% 0.50% 3% 0.50% 2% 22,609

Irish Traveller/ Gypsy/Romany

35% 2% 54% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 6% 0.50% 0.50% 1% 2% 9,150

Indian

0.50 % 0.50% 0.50% 89% 0.50% 1% 1% 5% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 1% 0.50% 2% 169,609

Bangladeshi

0.50 % 0.50% 0.50% 0.50% 92% 1% 0.50% 2% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 4% 99,905

Pakistani

0.50 % 0.50% 0.50% 1% 0.50% 86% 1% 4% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 1% 3% 4% 252,189

White and Asian

11% 0.50% 0.50% 1% 0.50% 2% 54% 3% 0.50% 0.50% 0.50% 0.50% 0.50% 3% 0.50% 15% 3% 4% 82,152

Other Asian

1% 0.50% 0.50% 12% 0.50% 2% 2% 58% 1% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 4% 17% 2% 84,028

Chinese

2% 0.50% 0.50% 0.50% 0.50% 0.50% 1% 2% 83% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 7% 2% 2% 27,577

African

1% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 1% 0.50% 83% 1% 1% 0.50% 1% 7% 2% 1% 3% 190,489

White and Black African

6% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 8% 55% 1% 3% 3% 3% 14% 2% 4% 38,611

Caribbean

1% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 3% 0.50% 77% 3% 0.50% 9% 3% 1% 4% 71,256

White and Black Caribbean

12% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 2% 3% 62% 1% 2% 12% 1% 4% 108,920

Other White

8% 0.50% 1% 0.50% 0.50% 0.50% 1% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 75% 0.50% 6% 5% 3% 169,626

Other Black

1% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 0.50% 34% 1% 30% 2% 0.50% 20% 6% 1% 4% 27,625

Other Mixed

10% 0.50% 0.50% 1% 0.50% 1% 5% 3% 1% 2% 3% 2% 8% 5% 4% 47% 5% 5% 23,763

Other Ethnicity

5% 0.50% 0.50% 0.50% 0.50% 0.50% 2% 12% 0.50% 2% 1% 0.50% 0.50% 10% 2% 10% 50% 4% 66,760

Missing

69% 0.50% 0.50% 2% 1% 3% 1% 2% 0.50% 4% 0.50% 2% 1% 5% 1% 2% 2% 3% 222,193

Census and England School Census Ethnicity

slide-71
SLIDE 71

Topic Availability Sources and access Name Yes PR, CIS, School Censuses, HESA , Further Education data Age/Date of birth Yes PR, CIS, HESA, School Censuses , Further Education data Marital status* Partial Vital events data, PDS, DWP/HMRC Address (including one year ago, alternative)* Yes PR, CIS, HESA, School Censuses (postcode only), PDS, DWP/HMRC Ethnicity Partial School Census, Health Data National identity* Partial HESA , PDS, Country of birth* Partial DWP/HMRC Residence/migrant status* Partial PR, PDS, DWP/HMRC Passports held Partial Passport Agency – UK only Intention to stay No Language* Partial School Censuses, Health data Religion* Partial Health data

Availability of census topics/variables in administrative data held by central government * Possible or known definitional differences

71

slide-72
SLIDE 72

Availability of census topics/variables in administrative data held by central government

Availability Sources/access

General health (Health index/condition* No Partial Health data) Caring responsibilities* Partial DWP/HRMC, Health data Long-term limiting illness/disability* Partial DWP/HRMC, Health data Qualifications Partial Education Data Economic activity* Partial DWP/HMRC Hours worked* Partial DWP/HMRC Mental health data Occupation No? Personal Income* Yes DWP/HMRC Place of work* Partial DWP/HMRC Mode of travel to work No

* Possible or known definitional differences

72

slide-73
SLIDE 73

Why produce trial outputs?

  • 1. Demonstrate continual development and

improvement of methods

  • 2. Seek user feedback on the usefulness and

quality

  • 3. Begin building time-series for comparison

against MYEs, and 2021 Census – building evidence for 2023 Recommendation

  • 4. Demonstrate ‘early benefits’
  • 5. Need to develop ‘operationalised’ processes

73

slide-74
SLIDE 74

What will we publish?

  • Start with SPD-based population estimates

and begin to build a time-series/compare with MYEs

  • Start with 2013 or 2014-based output, range
  • f geographies
  • Over time, extend to characteristics, improve

detail and quality

74

slide-75
SLIDE 75

Main areas of research going forward

  • Development of a high quality address register
  • Assessing the impact of on-line data collection
  • Modernisation of field processes
  • Use of administrative data throughout the census process
  • Development of methods to enhance the census outputs

using administrative data

  • Development of methods to estimate the population and

characteristics without a census

There are opportunities for joint working. If you want to find out more and get involved please contact: alistair.calder@ons.gsi.gov.uk

75

slide-76
SLIDE 76

Thank-you

  • Questions?

76