Health profile overview for ward

This profile presents a high level summary of health Population age structure: 27,407 in total related data sets for the Armley ward. Comparison of ward and age structures July 2020. Leeds as outline, ward shaded as follows to indicate ward This ward has a GP registered population of 27,407 resident proportions living in the most deprived 5th of Leeds, mid with the majority of the ward population living in the range, least deprived 5th of Leeds. second most deprived fifth of Leeds. In Leeds terms the ward is ranked fifth most deprived. 90-94 Females: 13,183 Males: 14,224

80-84

The age profile of this ward is similar to Leeds, but 70-74 with slightly fewer elderly, and many more young 60-64 adults and children. 50-54

40-44

30-34

20-24

10-14

About deprivation in this report 0-4 Deprivation throughout is measured using the Index of 6% 3% 0% 3% 6% Multiple Deprivation (IMD). The IMD provides a score for every part of England and we use this in Leeds to determine which Deprivation in this ward areas of Leeds are most deprived. Proportions of this population within each deprivation fifth of Leeds. July 2020. Leeds is divided into five groups from the most deprived fifth of Leeds the "deprived fifth", to the least. Because this divides 63% Leeds by MSOAs, it is a slightly generalised and removes detail in very small areas. 37%

Ward deprivation scores take IMD scores for small areas, and weights them using population size in 2019. The result is like an 0% 0% 0% average deprivation score for the ward area but giving greater Most Least weight to those areas with more residents. 2nd most mid 2nd least deprived fifth deprived fifth https://www.gov.uk/government/statistics/english-indices-of- deprivation-209 All wards by deprivation score GP recorded ethnicity, top 5 in ward % Ward % Leeds Wards are scored taking into account the numbers of people and the levels of deprivation where they live, the higher the score the White British 63.9% 69.5% more deprived the ward population. Other White Background 16.3% 9.5% & Richmond Hill 58 Pakistani or British Pakistani 4.8% 3.6% & 56 Killingbeck & 52 Black African 4.6% 3.4% & Riverside 50 Armley 46 White Irish 0.4% 0.6% 45 (GP ethnicity data July 2020, does not contain unknowns, blanks etc) Beeston & 42 Bramley & 40 36 Farnley & Wortley 35 33 Main spoken language, top 6 in ward % Ward % Leeds 30 Little London & Woodhouse 28 English 21,409 78% 76% & 28 Morley South 25 22 All other 419 languages 2,454 9% 8% & Hyde Park 20 Rothwell 20 Blank unknown refused could not be 18 communicated 1,610 6% 11% Morley North 18 Ardsley & Robin Hood 17 Polish & Yeadon 17 1,103 4% 1% Kippax & Methley 16 16 Arabic 1% 1% Calverley & Farsley 16 275 16 Moortown 14 Urdu 249 1% 1% & 13 & Rawdon 11 (GP ethnicity data July 2020, contains unknowns, blanks etc) 11 10 Adel & Wharfedale 10 Harewood 8

Armley Ward 2020.pdf Child obesity - reception classes and year 6 classes in 2018/19

Rates of children who are overweight or obese as provided by the National Child Measurement Programme (NCMP). The data shows children by ward of residence as a proportion of all children in the ward. The wards are ranked in descending order of deprivation score and this ward is outlined in red. Because the wards are ranked by deprivation it is possible to see a fall in rates from left to right - the least deprived wards tend to have lower rates of child deprivation - more noticeable in Year 6.

Reception Year 6 50% 50%

40% 40% Overweight 30% 30% Very overweight 20% 20%

This ward 10% 10%

0% 0% Most deprived Least deprived Most deprived Least deprived

Looked after children KS4 % achieving a strong pass in English and Maths

160 60% 140 50% 120 40% 100 80 30% 60 20% 40 10% 20 0 0% Most deprived Least deprived Most deprived Least deprived

Number of looked after children in wards in July 2020, by Percentage of pupils achieving a strong pass (grades 9-5) in location before becoming looked after. Wards are ranked English and maths at Key Stage 4. Wards are ranked from from most to least deprived. most to least deprived, and rates are based on pupil home address, not their school address. Data from 2018/19 The wards are shown ranked by deprivation and despite academic year. variations in population sizes the general picture shows larger counts in more deprived areas.

UC and JSA claimants as % of 16-64 year olds

18 16 Claimants as a proportion of 14 residents aged 16-64 12 10 % 8 6 4 2 0 Most deprived Least deprived Universal Credit and Job Seekers Allowance claimants as a proportion of residents aged 16-64. August 2020

The wards are ranked by levels of deprivation and, there is a clear reduction in proportions of claimants as deprivation falls.

Armley Ward 2020.pdf GP recorded conditions, April 2020 (age standardised rates per 100,000 ) These charts show all 33 wards in rank order by directly age standardised rate (DSR). DSR removes the effect that differing age structures have on data, and allow comparison of 'young' and 'old' areas. The small areas (MSOAs) within wards are overlaid as red dots and often differ widely. This data includes all Leeds GP registered patients who live within the ward.

How to read these charts GP data can only reflect those patients who visit their doctor. Certain groups within the population are known to present Red wards are late, or not at all, therefore it is important to remember that significantly White wards Red dots are higher than are not areas making GP data is not the whole of the picture. Leeds significantly up this ward different to (MSOAs) 0 20 40 Leeds 60 80 100

Deprived

Leeds 0 20 40 60 80 100 120 10,000 Asthma (under 16s) 8,000

6,000 THIS Ward 6,437 ward is 4,000 outlined Green wards are Leeds 6,264 in red 2,000 significantly Deprived fifth 6,054 lower than Leeds 0

0 20 40 60 80 100 0 20 40 60 80 100 35,000 5,000 CHD 30,000 Adult obesity (BMI>30) 4,000 25,000 20,000 3,000 Ward 3,941 Ward 27,308 15,000 2,000 Leeds 3,610 10,000 Leeds 23,998 1,000 5,000 Deprived fifth 4,391 Deprived fifth 28,070 0 0

0 20 40 60 80 100 0 20 40 60 80 100 120 5,000 6,000 Cancer 5,000 COPD 4,000 4,000 3,000 Ward 3,587 3,000 Ward 3,450 2,000 2,000 Leeds 4,303 Leeds 2,594 1,000 1,000 Deprived fifth 3,849 Deprived fifth 4,519 0 0

0 20 40 60 80 100 120 12,000 30,000 10,000 Diabetes 25,000 Common mental health issues 8,000 20,000 6,000 Ward 7,684 15,000 Ward 22,997 4,000 Leeds 6,563 10,000 Leeds 23,560 2,000 5,000 Deprived fifth 9,615 Deprived fifth 22,950 0 0 0 20 40 60 80 100

0 20 40 60 80 100 120 3,000 40,000 0 20 40 60 80 100 2,500 Severe mental health issues (18+) 35,000 Smoking (16+) 30,000 2,000 25,000 1,500 Ward 1,825 20,000 Ward 25,776 1,000 15,000 Leeds 1,301 10,000 Leeds 17,506 500 Deprived fifth 1,825 5,000 Deprived fifth 26,172 0 0

0 20 40 60 80 100 120 0 20 40 60 80 100 120 1,000 9,000 900 Learning disabilities (18+) 8,000 Dementia (65+) 800 7,000 700 6,000 600 5,000 500 Ward 400 Ward 6,859 400 4,000 300 Leeds 490 3,000 Leeds 4,592 200 2,000 100 Deprived fifth 622 1,000 Deprived fifth 6,267 0 0

Armley Ward 2020.pdf Life expectancy at birth, 2017-10 ranked wards

0 20 40 60 80 100 (years) Males Females 90y 0 20 40 60 80 100 90y Male Female Ward 75.2 80.4 80y 80y Leeds resident 78.4 81.7

70y 70y Deprived Leeds* 73.8 77.0

60y 60y The relationship between deprivation and life expectancy is well established and can be seen Life expectancy at birth, 2017-19. Ranked by deprivation clearly here.

90y 90y Male Female The Least deprived wards are shown first, 80y 80y deprivation rises from left to right and the line indicates a linear trend of decline as deprivation 70y 70y rises. Male life expectancy shows a greater 60y 60y variation with deprivation - the trend line is steeper. Least dep Most dep. Least dep Most dep.

All cause mortality - under 75s, 2015-19 ranked wards

0 20 40 60 80 100 0 20 40 60 80 100 0 20 40 60 80 100 (DSR per 100,000) All Males Females 1,000 1,000 800 800 Ward 517 645 376 600 600 Highest MSOA in ward 679 805 533 400 400 Lowest MSOA in ward 393 511 268 200 200 Leeds resident 359 429 289 0 0 All Male Female Deprived fifth 560 660 452 DSR - Directly Standardised Rate removes the effect that age structures have on data, allows comparison of 'young' and 'old' areas

Cancer mortality - under 75s, 2015-19 ranked wards (DSR per 100,000) All Males Females 300 300 250 250 Ward 170 191 147 200 200 Highest MSOA in ward 200 217 179 150 150 100 100 Lowest MSOA in ward 140 163 117 50 50 Leeds resident 141 157 128 0 0 All Male Female Deprived fifth 201 220 183 Circulatory disease mortality - under 75s, 2015-19 ranked wards (DSR per 100,000) All Males Females 250 250 200 200 Ward 122 177 61 150 150 Highest MSOA in ward 160 227 83 100 100 Lowest MSOA in ward 74 123 19 50 50 Leeds resident 79 108 51 0 0 All Male Female Deprived fifth 133 173 89 Respiratory disease mortality - under 75s, 2015-19 ranked wards (DSR per 100,000) All Males Females 150 150 Ward 63 56 70 100 100 Highest MSOA in ward 106 93 123

50 50 Lowest MSOA in ward 35 23 18 Leeds resident 30 32 28 0 0 All Male Female Deprived fifth 60 63 54

Ordnance Survey PSMA Data, Licence Number 100050507, (c) Crown Copyright 2011, All rights reserved. Mortality data copyright (c) 2019, re-used with the permission of the Health and Social Care Information Centre / NHS Digital. All rights reserved. GP data source: Leeds GP data extraction programme, only includes Leeds registered patients who are resident in the city. * 'Deprived Leeds' is an alternative definition of deprivation in Leeds - it is those areas that fall into the most deprived 10% of England, and is used when the 'Deprived fifth' can not be calculated for a dataset.

Armley Ward 2020.pdf Data appendix for GP recorded conditions Armley ward

GP recorded conditions data is available for relatively small areas called MSOAs, many of the charts in this report also display the MSOAs within this ward as small red dots to illustrate the variation that can occur within an area the size of a ward. The tables below give the April 2020 rates for the MSOAs making up this ward.

All rates here are age standardised per 100,000 meaning age is not a factor in any differences.

Asthma (under 16s) Bramley Hill Top, Raynville and Wyther Park 6,883.1 Leeds: 6,263.9 Armley, New Wortley 6,765.7 Dep: 6,054.5 Upper Armley 5,425.5 Ward: 6,436.8 - - - -

CHD Armley, New Wortley 4,201.5 Leeds: 3,610.1 Bramley Hill Top, Raynville and Wyther Park 3,817.5 Dep: 4,391.2 Upper Armley 3,640.1 Ward: 3,941.3 - - - -

Adult obesity Bramley Hill Top, Raynville and Wyther Park 27,997.3 Leeds: 23,998.3 Upper Armley 25,114.0 Dep: 28,070.1 Armley, New Wortley 25,018.4 Ward: 27,308.4 - - - -

Cancer Bramley Hill Top, Raynville and Wyther Park 3,905.6 Leeds: 4,303.3 Upper Armley 3,628.1 Dep: 3,848.9 Armley, New Wortley 3,501.7 Ward: 3,586.8 - - - -

COPD Armley, New Wortley 4,616.0 Leeds: 2,593.9 Bramley Hill Top, Raynville and Wyther Park 3,606.2 Dep: 4,519.1 Upper Armley 2,525.3 Ward: 3,449.9 - - - -

Diabetes Armley, New Wortley 8,523.4 Leeds: 6,562.6 Bramley Hill Top, Raynville and Wyther Park 7,887.5 Dep: 9,615.2 Upper Armley 7,010.0 Ward: 7,684.5 - - - -

Armley Ward 2020.pdf Common mental health issues Bramley Hill Top, Raynville and Wyther Park 23,854.4 Leeds: 23,559.8 Armley, New Wortley 23,418.3 Dep: 22,950.5 Upper Armley 23,029.4 Ward: 22,997.4 - - - -

Severe mental health issues (18+) Armley, New Wortley 2,072.6 Leeds: 1,300.9 Bramley Hill Top, Raynville and Wyther Park 1,658.1 Dep: 1,825.0 Upper Armley 1,478.1 Ward: 1,824.8 - - - -

Smoking (16+) Armley, New Wortley 31,468.4 Leeds: 17,505.7 Bramley Hill Top, Raynville and Wyther Park 23,683.5 Dep: 26,171.5 Upper Armley 21,415.9 Ward: 25,775.7 - - - -

Learning disabilities (18+) Upper Armley 423.3 Leeds: 490.3 Bramley Hill Top, Raynville and Wyther Park 421.3 Dep: 621.9 Armley, New Wortley 396.2 Ward: 400.1 - - - -

Dementia (65+) Armley, New Wortley 8,248.2 Leeds: 4,591.9 Bramley Hill Top, Raynville and Wyther Park 6,163.6 Dep: 6,267.0 Upper Armley 3,543.1 Ward: 6,859.1 - - - -

MSOA codes and names: E02002396 Upper Armley E02002388 Bramley Hill Top, Raynville and Wyther Park E02002400 Armley, New Wortley - - - -

Common mental health issues example definitions: Anxiety, OCD, Panic, Phobia, PTSD, Depression Severe mental health issues - example definitions: Affective psychoses, Delusional Disorder, Manic Disorder, Psychotic Disorders, Schizophrenia, Paranoia, Bipolar Affective Disorder

Armley Ward 2020.pdf