Census 2011
KCP Steering Group presentation
Dominic Baker Research and Insight Officer Consultation and Partnerships Team Policy and Partnerships Unit
Tuesday 28th May, 2013
Census 2011 KCP Steering Group presentation Tuesday 28th May, 2013 - - PowerPoint PPT Presentation
Census 2011 KCP Steering Group presentation Tuesday 28th May, 2013 Dominic Baker Research and Insight Officer Consultation and Partnerships Team Policy and Partnerships Unit Census collects data on... Ethnicity The labour market Religion
Dominic Baker Research and Insight Officer Consultation and Partnerships Team Policy and Partnerships Unit
Tuesday 28th May, 2013
Examples of IMD data sources
Urban areas are the hardest to count, especially London, Birmingham and the northern conurbations In London the hardest to count areas were clustered in inner London
95.1 per cent of the borough ranked in the hardest to count category compared to 12.6 per cent in London Kensington and Chelsea not quite as “hard to count” as Westminster!
More thorough planning and additional resources meant response rate increased from 64 per cent to 82 per cent A higher response rate reduces the need for such “intelligent guesswork” Population figures for the borough, wards, and smaller areas, all include “intelligent guesses” about non-responders ONS “impute” the characteristics of the “missing” 18 per cent So the census is by no means 100% accurate but it is difficult to improve upon it
Only 25 wards in London showed an intercensal population decrease 8 of these wards were in Kensington and Chelsea 7 of the 10 greatest decreases were in Kensington and Chelsea
Approximate location of Kensington and Chelsea Short-term residents (broadly those staying for less than 6 months – some 3,800 people) are excluded More properties may be vacant e.g. because international property buyers. Our basis for comparison – the 2001 census – may simply be too inaccurate We may have fewer households (e.g. because of deconversions – though planning data suggests otherwise) There may be fewer people in each household There is no clear answer and further analysis is needed
Not directly comparable BUT does show an increase in the majority of wards
*using datasets identified by the ONS as broadly comparable
2011 data - Households with no usual residents: There is a clear hotspot in central London Significant chunks of Brompton and Hans Town have more than one in five households are vacant
Little change in the broad age groups Population pyramids by 5 year age band show no striking demographic shift
Proportionally Kensington and Chelsea has:
Kensington and Chelsea:
and Chelsea, much like the vast majority of London, has become more diverse between 2001 to 2011
most diverse borough in England and Wales (out of 348) Simpson’s Diversity Index: This intercensal measure looks at the distribution
the population falls into one group the ward is given a score of 1 if the population is split equally into 10 groups the ward is given a score of 10.
78.6 4.1 4.9 7.0 5.5 70.6 5.7 10 6.6 7.2 59.8 5 18.4 13.3 3.4 85.9 2.2 7.5 3.4 1 White Mixed Asian/Asian British Black/Black British Other ethnic group RBKC 2001 RBKC 2011 London 2011 England and Wales 2011
Source: ONS
Total % % change Ethnicity broad groups
15 10 5 5 10 15
0 to 15 16 to 24 25 to 34 35 to 49 50 to 64 65 to 74 75 to 84 85 and over Population (%)
Male Female
UK Born Born outside the UK
15 10 5 5 10 15
0 to 15 16 to 24 25 to 34 35 to 49 50 to 64 65 to 74 75 to 84 85 and over Population (%)
Male Female
Per cent ‘other’ (i.e. non-UK) identities National identity
56.1% 57.6% 56.9% 75.5% 86.9% 71.5% 77.0% 36.8% 31.8% 79.3% 73.3% 61.0% 43.8% 61.3% 61.2% 71.3% 87.0% 67.4% 13.8% 75.6% 87.6% 93.5% 60.6% 6.0% 5.3% 5.6% 6.3% 1.9% 3.4% 3.3% 4.6% 3.6% 2.9% 4.0% 3.0% 4.0% 5.4% 6.2% 3.9% 1.9% 4.8% 5.7% 1.7% 0.6% 2.3% 3.6% 37.9% 37.1% 37.5% 18.2% 11.2% 25.1% 19.7% 58.6% 64.6% 17.8% 22.7% 36.0% 52.2% 33.3% 32.5% 24.8% 11.1% 27.8% 80.6% 22.7% 11.8% 4.3% 35.8% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Other: Other Other: Arab OTHER TOTAL Black: Other Black Black: Caribbean Black: African BLACK TOTAL Asian: Other Asian Asian: Chinese Asian: Bangladeshi Asian: Pakistani Asian: Indian ASIAN TOTAL Mixed: Other Mixed Mixed: White and Asian Mixed: White and Black African Mixed: White and Black Caribbean MIXED TOTAL White: Other White White: Gypsy/Irish Traveller White: Irish White: UK WHITE TOTAL
OTHER WHITE NOT AN INSIGNIFICANT GROUP = 32,279 residents
63.9% 69.2% 71.8% 73.7% 73.9% 77.3% 78.0% 68.5% 55.9% 53.0% 47.2% 50.0% 57.5% 65.9% 71.0% 73.6% 76.8% 79.2% 81.0% 84.0% 85.4% 87.8% 36.1% 30.8% 28.2% 26.3% 26.1% 22.7% 22.0% 31.5% 44.1% 47.0% 52.8% 50.0% 42.5% 34.1% 29.0% 26.4% 23.2% 20.8% 19.0% 16.0% 14.6% 12.2%
All Ages 0 to 4 5 to 7 8 to 9 10 to 14 15 16 to 17 18 to 19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85 and over
UK Identities Other
Ethnicity by national identity Age by national identity
UK/Irish Only Other identity and at least one UK identity Other Identity
Per cent households with no occupants speaking English as a main language Main language wordcloud
30% 40% 50% 60% 70% 80% 90% 100% 3 to 4 5 to 9 10 to 14 15 to 19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85 and over
Males RBKC Females RBKC Males GLA Females GLA
Christian change: 2001-2011 Muslim change: 2001-2011
Christian: 86,005 residents Male: 46.5% l Female: 53.5% No religion: 32,669 residents Male: 55.7% l Female: 44.3% Jewish: 3,320 residents Male: 52.9% l Female: 47.1% Buddhist: 2,447 residents Male: 42.9% l Female: 57.1% Hindu: 1,386 residents Male: 52.1% l Female: 47.9% Muslim: 15,812 residents Male: 50.8% l Female: 49.2%
8 6 4 2 2 4 6 8
0 to 4 5 to 9 10 to 14 15 to 19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85+
Population (%) Male Female 8 6 4 2 2 4 6 8
0 to 4 5 to 9 10 to 14 15 -19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85+
Population (%) Male Female 8 6 4 2 2 4 6 8
0 to 4 5 to 9 10 to 14 15 to 19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85+
Population (%) Male Female
8 6 4 2 2 4 6 8
0 to 4 5 to 9 10 to 14 15 to 19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85+
Population (%) Male Female 8 6 4 2 2 4 6 8
0 to 4 5 to 9 10 to 14 15 -19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85+
Population (%) Male Female 8 6 4 2 2 4 6 8
0 to 4 5 to 9 10 to 14 15 -19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 70 to 74 75 to 79 80 to 84 85+
Population (%) Male Female
60.1% 60.4% 64.8% 54.6% 37.0% 54.5% 3.6% 3.5% 5.2% 5.3% 3.4% 3.1% 36.3% 36.1% 30.0% 40.0% 59.6% 42.4%
Christian No religion Muslim Jewish Buddhist Hindu
UK and Irish identities Other identity and a UK identity Other identity only
80.2% 76.5% 16.2% 91.5% 23.9% 3.6% 4.9% 7.1% 5.9% 3.0% 7.8% 3.2% 5.4% 10.7% 19.0% 64.4% 90.0% 6.9% 15.4% 43.5% 3.4%
Christian No religion Muslim Jewish Buddhist Hindu Other Black Asian Mixed White
such as their fitness, disability, mental health and visits to the doctor
Significant variation within the
report having ‘bad or very bad health’ and less than 50% reporting ‘very good health’. In two, more than 65% report being in ‘very good health’
Bad or very bad health Fair health Good health Very good health
Private rented Social rented Owner Occupied
Per cent private rented households for London boroughs Per cent private rented households for London boroughs Percentage point change by ward
35.1 per cent of working residents work more than 49 hours per week, an increase of 1.8 per cent. 19.6 per cent of residents work less than 30 hours per week, an increase of 2.2 per cent. 45.3 per cent work 31 to 48 hours, a decrease of 4.1 per cent
Hours worked Occupation groups
Increase of 5.7 per cent (e.g. Civil engineers, IT specialist managers, medical practitioners, teachers) Decrease of 2.3 per cent (e.g. Sales administrators, finance officers, local government administrative
Decrease of 6.3 per cent (e.g. Chief Executives, financial managers, public health managers, marketing and sales directors)
annually in different parts of the country
annual survey of a sample of the population
surveys