High Peak

Locality
High Peak
Diabetes
Dementia
Smoking
Ageing Population
Demographics

introduction Introduction

High Peak is located at the extreme northwest of Derbyshire, comprising of many towns and villages inc. Buxton, Chapel-en-le-Frith, New Mills, Whaley Bridge, Glossop and parts of Hope Valley. High Peak has a population of over 92000, serviced by 2 councils (High Peak Borough Council and Derbyshire County Council).

Overall, High Peak district is less deprived compared to the average for England, however, this is more of a mixed picture than the statistics appears to indicate. The relatively prosperous appearance: and seemingly positive health indicators of the district overall mask small pockets of rural deprivation that can be found within some sparsely populated areas. There are 3 areas that fall within the top 20% of the most deprived in England. Fairfield in Buxton, Ollersett in New Mills and Gamesley, which is notably, one of the most deprived areas in the entire county.

High Peak also has two Primary Care Networks, High Peak and Glossop. Whilst some community services are delivered locally by Derbyshire based health and care providers, the complexity of a historic split in healthcare between Glossop and the rest of High Peak has seen a disparity in service provision across the borough. The decision to move Glossop into Derbyshire’s ICS structure some 2 years ago has seen further challenges in understanding who and where community-based services will come from. Acute care for High Peak is generally provided outside of Derbyshire (Macclesfield; Stockport; Sheffield; Tameside Hospital). High Peak is serviced by two ambulance services, Glossop is covered by North West Ambulance Service (NWAS) and the rest of High Peak is covered by East Midlands Ambulance Service (EMAS). With vast countryside separating towns and villages and limited connectivity via bus or train, accessibility and affordability is a common challenge for residents when accessing health related services and support.

Many low-level support services are provided by the voluntary sector alliance which is spread across High Peak and has local support available in Glossop, New Mills, Whaley Bridge and Buxton meaning improved accessibility for some of our most vulnerable population.

High Peak locality team and partners focus on how greater integration can improve health outcomes for residents.

why is it important to population health Why is it important to Population Health?

Health inequalities are defined as avoidable differences in health outcomes between groups or populations – such as differences in how long we live, or the age at which we get preventable diseases or health conditions. Similarly, health disparities are described a particular type of health difference that is closely linked with social, economic and/or environmental disadvantage.

High Peak has a higher proportion of elderly population: High Peak has a significantly higher proportion of individuals aged 65+ compared to regional and national averages. Given the vast countryside that separates towns and villages, connectivity via public transport is both expensive and infrequent and coupled with the fact that almost 1/5 of households do not have access to their own car or van signifies potential mobility issues for a significant proportion of the population. Given that acute care is generally provided outside of the High Peak and travel time to reach hospitals is longer compared to the England average. This means that the older demographic who often have increased medical needs & mobility issues could be more susceptible to health inequalities due to their ability to access critical healthcare and other essential healthcare services in a timely manner.

There are 3 areas within High Peak that are experiencing higher levels of deprivation, often masked by the overall appearance that High Peak is more affluent. Within these 3 areas people often face compounded health inequalities due to factors such as lower income, poorer living environments and limited access to services. Affordability and accessibility of transport to amenities/support and services could be a contributory factor as to why High Peak has:

  • Lower estimated diagnosis rate of diabetes
  • Lower female life expectancy at 65
  • Higher instance of smoking at time of delivery
  • Higher rate of emergency hospital admissions for intentional self-harm
  • Lower estimated Dementia diagnosis rate
  • Higher percentage of people reporting a long-term Musculoskeletal problem
  • Lower Chlamydia detection rate per 100,000 aged 15 to 24 than the England/region average

Addressing these areas at a locality level allows for partnership working to target resources and maximise reach to the populations with the greatest need.

the derbyshire population approach The Derbyshire Population Health Approach

The Derbyshire Population Health Approach focuses on prevention, population health, evidence-informed practices, causes, and collaboration. It emphasises proactive measures to prevent health issues, tailors interventions to specific populations, incorporates evidence-informed practices, addresses underlying causes, and promotes collaboration for effective action.

When considering High Peak within The Derbyshire Population Health Approach:

• Prevention Prevention

High Peak have some specific priorities around supporting older people, supporting younger people, Improving mental health, access to activities volunteering and support and social connectivity.

Working alongside partners to deliver a range of targeted programmes across the High Peak. Current work includes: working with DCHS sexual health team to provide the sexual health bus in some specific communities where it has been identified there is a lack of uptake in contraception and testing due to the rurality of High Peak and the lack of available sites to host the services. Using available data and anecdotal information from partners working in those communities it was identified that the mobile bus would be an appropriate way to reach those communities.

There are a number of local campaigns around mental health and suicide prevention in High Peak. A number of Baton of Hope events have taken place, working with colleagues from the mental health team and voluntary sector with the aim of raising awareness of suicide prevention and promoting resources including the Let’s Chat campaign plaques on benches and posters at bus stops.

Working alongside the voluntary sector has enabled venues to be identified for the falls prevention service for Derbyshire ‘Live stronger for longer’ classes. These take place in local communities, reducing the barrier of access and affordability of public transport on the elderly who make up 1 in 5 of High Peaks population.

• Population Population

There is ample evidence that social factors, including education, employment status, income level, gender and ethnicity have a marked influence on how healthy a person is. Income is associated with health: people in the bottom 40% of the income distribution are almost twice as likely to report poor health than those in the top 20%. Poverty in particular is associated with worse health outcomes. This is especially the case for persistent poverty.

These health inequities are systematic differences in the health status of different population groups. These inequities have significant social and economic costs both to individuals and societies. In High Peak there are 3 areas that fall within the top 20% of the most deprived in England. Therefore, a locality approach works to ensure that these aren’t overlooked by the overall appearance of affluence within High Peak.

• Evidence Evidence

In High Peak the interventions at a locality level are done using evidence informed practice.

A community needs assessment is currently being undertaken in Gamesley, 1 of the 3 areas within High Peak which is in the top 20% most deprived areas in the country. Gamesley has some of the highest deprivation statistics for both Derbyshire and the UK.In this small area people are twice as likely to get cancer, and over twice as likely to present at hospital for self-harm, all within the backdrop of having 8 years life expectancy less than the general UK population.

With increasing demands on services, health needs assessments help to look at use of finite resources and identify any gaps in provisions and how they are best met with the resources available. This engagement work with communities is research led based on the local insights and data in relation to Gamesley. This work aims to capture the assets, and the wants and needs of this community.

• Causes Causes

Understanding and addressing health inequalities are important to ensuring that population health approaches can manage and support people to live healthier lives at a population level. There are many causes that contribute to poor health outcomes and having a greater understanding of these will help to address them.

Growing insight of people and communities, understanding the main causes and issues of factor which could contribute to poorer health. Some of these could be linked to lack of transport, access to support, financial and digital capability, fuel poverty (high percentage of residents in smaller towns on oil based heating) and a lack of affordable housing. These factors are further exacerbated by those from lower socio-economic backgrounds. By listening to residents’ voices, understanding what works and applying it on an ongoing basis, as well as advocating for and influencing policy and targeting and aligning investment to where it is most needed, aims to address some of these.

An example of a tailored intervention through partnership collaboration and co production, via the health and wellbeing financial inclusion subgroup, resulted in producing and delivering financial support information to every household in High Peak.

• Collaboration Collaboration

Working at a locality level the aim is to address health inequalities and promote equitable outcomes for the High Peak population by working in partnership with stakeholders, sectors and communities.

Working in collaboration is essential to delivering a population health approach by developing a shared vision and purpose between partners and sectors. The existing partnerships are built on open and trusting relationships, distributed leadership and combining resources available. The High Peak Partnerships and networks include a range of partners including High Peak Borough council, Place alliance, ICB, voluntary and community organisations, young people services and education, leisure, housing, environment, and community safety.

There are a number of shared priorities between partnerships and networks and these are actioned through specific collaborative working groups using asset-based approaches to tackle inequalities at a hyper local level. Further development of a place-based neighbourhood model is currently being explored by partners and residents to address the communities specific needs.

In High Peak the collaborative approach includes organising local events with partners/stakeholders to connect services, people and partners. (High Peak together)

Joint priorities:

  • Falls and prevention
  • CVD risk and prevention
  • Oral Health
  • Mental health and emotional wellbeing
  • High Peak Connect events

Overarching priorities: Start well, Stay well, Age well and Die well.

latest derbyshire data Latest Derbyshire Data

Population by Age and Area
Area 0 - 15 years 16 - 64 years 65+ years Total
Derby 53,497 169,039 43,924 266,460
Derbyshire 136,600 492,390 182,459 811,449
Amber Valley 21,142 77,143 29,424 127,709
Bolsover 14,267 51,533 17,029 82,829
Chesterfield 17,541 64,068 23,274 104,883
Derbyshire Dales 10,295 40,429 20,806 71,530
Erewash 19,402 70,577 23,865 113,844
High Peak 15,110 55,757 20,702 91,569
North East Derbyshire 17,391 61,560 26,084 105,035
South Derbyshire 21,452 71,323 21,275 114,050
Source: Mid-year estimates 2023
IMD by Area
Local Authority 1 - Most deprived 2 3 4 5 6 7 8 9 10 - Least deprived Total
Amber Valley 4,716 8,508 11,266 8,920 26,013 9,625 16,559 16,122 17,856 9,244 128,829
Bolsover 2,912 14,754 15,950 15,830 11,419 8,497 1,723 8,660 1,560 0 81,305
Chesterfield 9,500 21,344 15,412 13,405 10,405 5,056 11,473 3,029 9,819 5,487 104,930
Derbyshire Dales 1,641 0 0 0 8,152 11,734 10,935 12,723 18,143 9,094 72,422
Erewash 6,010 10,670 17,801 3,670 11,476 9,793 16,825 10,670 10,906 17,511 115,332
High Peak 4,251 1,466 3,753 10,645 11,985 7,543 8,879 21,780 12,454 9,877 92,633
North East Derbyshire 5,237 5,111 9,503 12,116 11,182 10,868 13,186 7,878 16,057 11,078 102,216
South Derbyshire 0 5,617 4,759 4,539 16,952 14,589 8,444 20,263 15,741 18,612 109,516
Derbyshire County 34,267 67,470 78,444 69,125 107,584 77,705 88,024 101,125 102,536 80,903 807,183
Source: Ministry of Housing, Communities and Local Government IMD 2019, ONS LA mid-year population estimates 2020
IMD by Area
Local Authority 1 - Most deprived 2 3 4 5 6 7 8 9 10 - Least deprived Total
Amber Valley 3.7 6.6 8.7 6.9 20.2 7.5 12.9 12.5 13.9 7.2 100.0
Bolsover 3.6 18.1 19.6 19.5 14.0 10.5 2.1 10.7 1.9 0.0 100.0
Chesterfield 9.1 20.3 14.7 12.8 9.9 4.8 10.9 2.9 9.4 5.2 100.0
Derbyshire Dales 2.3 0.0 0.0 0.0 11.3 16.2 15.1 17.6 25.1 12.6 100.0
Erewash 5.2 9.3 15.4 3.2 10.0 8.5 14.6 9.3 9.5 15.2 100.0
High Peak 4.6 1.6 4.1 11.5 12.9 8.1 9.6 23.5 13.4 10.7 100.0
North East Derbyshire 5.1 5.0 9.3 11.9 10.9 10.6 12.9 7.7 15.7 10.8 100.0
South Derbyshire 0.0 5.1 4.3 4.1 15.5 13.3 7.7 18.5 14.4 17.0 100.0
Derbyshire County 4.2 8.4 9.7 8.6 13.3 9.6 10.9 12.5 12.7 10.0 100.0
Source: Ministry of Housing, Communities and Local Government IMD 2019, ONS LA mid-year population estimates 2020
Population by Ethnicity (percentage)
Area Asian, Asian British or Asian Welsh Black, Black British, Black Welsh, Caribbean or African Mixed or Multiple ethnic groups White Other ethnic group
Derby 15.6 4.0 3.7 73.8 2.9
Derbyshire 1.5 0.5 1.4 96.3 0.3
Amber Valley 1.0 0.3 1.2 97.3 0.2
Bolsover 0.9 0.5 0.9 97.4 0.3
Chesterfield 1.9 0.8 1.4 95.5 0.4
Derbyshire Dales 0.7 0.2 1.0 97.8 0.3
Erewash 1.6 0.8 1.8 95.4 0.4
High Peak 0.8 0.2 1.3 97.4 0.2
North East Derbyshire 0.9 0.3 1.1 97.4 0.2
South Derbyshire 3.6 0.8 1.8 93.1 0.7
Source: Census 2021

Trend Data

The following charts show life expectancy over time in Derbyshire by district and sex (compared to England)

PHOF Profile

Notes:

  • For indicators that aren’t straightforward to determine whether a high value is good or bad are shaded in blue rather than red/amber/green.
  • Recent trend refers to analysis done by Fingertips which tests for a statistical trend. Please see the Fingertips tool for full details.
  • Increases and decreases are only shown if they are statistically significant.

A. Overarching indicators
Indicator Age Sex Period Value East Midlands region England Unit Recent Trend
A01b - Life expectancy at birth All ages Male 2022 80.0 78.9 79.3 Years
A01b - Life expectancy at birth All ages Male 2020 - 22 79.1 78.6 78.8 Years
A01b - Life expectancy at birth All ages Female 2022 83.3 82.7 83.2 Years
A01b - Life expectancy at birth All ages Female 2020 - 22 82.5 82.4 82.8 Years
A02a - Inequality in life expectancy at birth All ages Male 2018 - 20 10.1 9.2 9.7 Years
A02a - Inequality in life expectancy at birth All ages Female 2018 - 20 9.2 7.6 7.9 Years
A01b - Life expectancy at 65 65 Male 2022 19.1 18.6 18.7 Years
A01b - Life expectancy at 65 65 Male 2020 - 22 18.6 18.2 18.4 Years
A01b - Life expectancy at 65 65 Female 2022 20.9 20.8 21.2 Years
A01b - Life expectancy at 65 65 Female 2020 - 22 20.4 20.6 20.9 Years
A02a - Inequality in life expectancy at 65 65 Male 2018 - 20 5.2 5.0 5.2 Years
A02a - Inequality in life expectancy at 65 65 Female 2018 - 20 6.7 4.7 4.8 Years
Source: OHID Fingertips
B. Wider Determinants of Health
Indicator Age Sex Period Value East Midlands region England Unit Recent Trend
B01b - Children in absolute low income families (under 16s) <16 yrs Persons 2022/23 14.7 21.1 15.6 %
B01b - Children in relative low income families (under 16s) <16 yrs Persons 2022/23 18.1 24.6 19.8 %
B03 - Pupil absence 5-15 yrs Persons 2022/23 7.2 7.2 7.4 %
B08a - The percentage of the population with a physical or mental long term health condition in employment (aged 16 to 64) 16-64 yrs Persons 2022/23 78.6 66.0 65.3 %
B08d - Percentage of people in employment 16-64 yrs Persons 2023/24 76.0 75.4 75.7 %
B09a - Sickness absence: the percentage of employees who had at least one day off in the previous week 16+ yrs Persons 2020 - 22 1.5 1.9 2.0 %
B09b - Sickness absence: the percentage of working days lost due to sickness absence 16+ yrs Persons 2020 - 22 0.8 1.2 1.1 %
B12a - Violent crime - hospital admissions for violence (including sexual violence) All ages Persons 2020/21 - 22/23 30.5 27.6 34.3 per 100,000
B12b - Violent crime - violence offences per 1,000 population All ages Persons 2022/23 27.2 33.6 34.4 per 1,000
B12c - Violent crime - sexual offences per 1,000 population All ages Persons 2022/23 2.6 3.2 3.0 per 1,000
B13a - Reoffending levels: percentage of offenders who reoffend All ages Persons 2021/22 14.9 25.8 25.0 %
B13b - Reoffending levels: average number of reoffences per reoffender All ages Persons 2021/22 2.9 3.8 3.7 per re-offender
B14a - The rate of complaints about noise All ages Persons 2020/21 4.2 6.6 12.0 per 1,000
B15a - Homelessness: households owed a duty under the Homelessness Reduction Act Not applicable Not applicable 2022/23 8.5 10.8 12.4 per 1,000
B15c - Homelessness: households in temporary accommodation Not applicable Not applicable 2022/23 0.8 1.3 4.2 per 1,000
B17 - Fuel poverty (low income, low energy efficiency methodology) Not applicable Not applicable 2022 15.9 15.1 13.1 %
B19 - Loneliness: Percentage of adults who feel lonely often or always or some of the time 16+ yrs Persons 2019/20 20.1 22.7 22.3 %
1.01i - Children in low income families (all dependent children under 20) 0-19 yrs Persons 2016 11.8 16.3 17.0 %
Source: OHID Fingertips
C. Health Improvement
Indicator Age Sex Period Value East Midlands region England Unit Recent Trend
C01 - Total prescribed LARC excluding injections rate / 1,000 All ages Female 2022 55.1 47.1 44.1 per 1,000
C02a - Under 18s conception rate / 1,000 <18 yrs Female 2021 6.3 13.2 13.1 per 1,000
C04 - Low birth weight of term babies >=37 weeks gestational age at birth Persons 2022 1.9 2.6 2.9 %
C06 - Smoking status at time of delivery All ages Female 2023/24 8.9 9.9 7.4 %
C09a - Reception prevalence of overweight (including obesity) 4-5 yrs Persons 2023/24 22.4 22.0 22.1 %
C09b - Year 6 prevalence of overweight (including obesity) 10-11 yrs Persons 2023/24 30.3 36.0 35.8 %
C10 - Percentage of physically active children and young people 5-16 yrs Persons 2022/23 52.0 49.0 47.0 %
C11a - Hospital admissions caused by unintentional and deliberate injuries in children (aged 0 to 14 years) <15 yrs Persons 2022/23 102.5 59.2 75.3 per 10,000
C11a - Hospital admissions caused by unintentional and deliberate injuries in children (aged 0 to 4 years) 0-4 yrs Persons 2022/23 131.2 73.3 92.0 per 10,000
C11b - Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15 to 24 years) 15-24 yrs Persons 2022/23 105.4 87.1 94.1 per 10,000
C14b - Emergency Hospital Admissions for Intentional Self-Harm All ages Persons 2022/23 162.1 146.2 126.3 per 100,000
C15 - Percentage of adults meeting the '5-a-day' fruit and vegetable consumption recommendations (new method) 16+ yrs Persons 2022/23 35.9 30.1 31.0 %
C15 - Proportion of the population meeting the recommended '5 a day' on a 'usual day' (adults) (old method) 16+ yrs Persons 2019/20 60.9 55.0 55.4 %
C16 - Overweight (including obesity) prevalence in adults 18+ yrs Persons 2022/23 59.1 66.1 64.0 %
C17a - Percentage of physically active adults 19+ yrs Persons 2022/23 73.7 66.5 67.1 %
C17b - Percentage of physically inactive adults 19+ yrs Persons 2022/23 16.6 22.8 22.6 %
C19d - Deaths from drug misuse All ages Persons 2020 - 22 7.2 4.8 5.2 per 100,000
C21 - Admission episodes for alcohol-related conditions (Narrow) All ages Persons 2022/23 436.5 530.9 474.6 per 100,000
C21 - Admission episodes for alcohol-related conditions (Narrow) All ages Male 2022/23 632.8 691.7 639.2 per 100,000
C21 - Admission episodes for alcohol-related conditions (Narrow) All ages Female 2022/23 254.0 383.8 326.4 per 100,000
C22 - Estimated diabetes diagnosis rate 17+ yrs Persons 2018 73.5 84.6 78.0 %
C23 - Percentage of cancers diagnosed at stages 1 and 2 All ages Persons 2021 51.9 52.9 54.4 %
C24a - Cancer screening coverage: breast cancer 53-70 yrs Female 2023 59.1 68.5 66.2 %
C24b - Cancer screening coverage: cervical cancer (aged 25 to 49 years old) 25-49 yrs Female 2023 75.9 68.3 65.8 %
C24d - Cancer screening coverage: bowel cancer 60-74 yrs Persons 2023 75.5 73.5 72.0 %
C24e - Abdominal Aortic Aneurysm Screening Coverage 65 Male 2022/23 85.9 85.2 78.3 %
C27 - Percentage reporting a long-term Musculoskeletal (MSK) problem 16+ yrs Persons 2023 21.9 20.0 18.4 %
C28c - Self reported wellbeing: people with a low happiness score 16+ yrs Persons 2022/23 6.6 9.3 8.8 %
C28d - Self reported wellbeing: people with a high anxiety score 16+ yrs Persons 2022/23 13.5 21.5 23.3 %
C29 - Emergency hospital admissions due to falls in people aged 65 and over 65+ yrs Persons 2022/23 2,071.5 1,940.8 1,932.8 per 100,000
C29 - Emergency hospital admissions due to falls in people aged 65 to 79 65-79 yrs Persons 2022/23 999.0 921.0 928.5 per 100,000
C29 - Emergency hospital admissions due to falls in people aged 80 plus 80+ yrs Persons 2022/23 5,181.8 4,898.2 4,845.4 per 100,000
Source: OHID Fingertips
D. Health Protection
Indicator Age Sex Period Value East Midlands region England Unit Recent Trend
D01 - Fraction of mortality attributable to particulate air pollution (new method) 30+ yrs Persons 2022 5.2 6.1 5.8 %
D02a - Chlamydia detection rate per 100,000 aged 15 to 24 15-24 yrs Male 2023 1,086.7 1,173.9 1,041.6 per 100,000
D02a - Chlamydia detection rate per 100,000 aged 15 to 24 15-24 yrs Female 2023 1,866.7 2,271.0 1,961.7 per 100,000
D02a - Chlamydia detection rate per 100,000 aged 15 to 24 15-24 yrs Persons 2023 1,486.8 1,745.7 1,545.9 per 100,000
D02b - New STI diagnoses (excluding chlamydia aged under 25) per 100,000 All ages Persons 2023 279.9 355.6 519.9 per 100,000
D07 - HIV late diagnosis in people first diagnosed with HIV in the UK 15+ yrs Persons 2021 - 23 66.7 47.5 43.5 %
D08b - TB incidence (three year average) All ages Persons 2020 - 22 2.5 7.2 7.6 per 100,000
D10 - Adjusted antibiotic prescribing in primary care by the NHS All ages Persons 2023 0.9 0.9 0.9 per STAR-PU
Source: OHID Fingertips
E. Healthcare and Premature Mortality
Indicator Age Sex Period Value East Midlands region England Unit Recent Trend
E01 - Infant mortality rate <1 yr Persons 2020 - 22 3.0 4.3 3.9 per 1,000
E02 - Percentage of 5 year olds with experience of visually obvious dental decay 5 yrs Persons 2021/22 19.5 22.3 23.7 %
E03 - Under 75 mortality rate from causes considered preventable <75 yrs Persons 2023 149.1 161.7 153.0 per 100,000
E03 - Under 75 mortality rate from causes considered preventable <75 yrs Persons 2021 - 23 162.4 170.1 163.7 per 100,000
E05a - Under 75 mortality rate from cancer <75 yrs Persons 2023 124.2 126.4 120.8 per 100,000
E05a - Under 75 mortality rate from cancer <75 yrs Persons 2021 - 23 119.5 125.9 121.6 per 100,000
E05b - Under 75 mortality rate from cancer considered preventable <75 yrs Persons 2021 - 23 48.4 50.5 49.5 per 100,000
E06a - Under 75 mortality rate from liver disease <75 yrs Persons 2023 22.4 23.6 21.9 per 100,000
E06a - Under 75 mortality rate from liver disease <75 yrs Persons 2021 - 23 23.7 22.4 21.5 per 100,000
E06b - Under 75 mortality rate from liver disease considered preventable <75 yrs Persons 2021 - 23 20.9 20.2 19.2 per 100,000
E07a - Under 75 mortality rate from respiratory disease <75 yrs Persons 2023 27.6 33.2 33.7 per 100,000
E07a - Under 75 mortality rate from respiratory disease <75 yrs Persons 2021 - 23 21.9 29.4 30.3 per 100,000
E08 - Mortality rate from a range of specified communicable diseases, including influenza All ages Persons 2021 - 23 11.3 12.1 13.0 per 100,000
E10 - Suicide rate 10+ yrs Persons 2021 - 23 12.3 11.3 10.7 per 100,000
E11 - Emergency readmissions within 30 days of discharge from hospital All ages Persons 2022/23 13.0 14.1 14.2 %
E13 - Hip fractures in people aged 65 and over 65+ yrs Persons 2022/23 650.5 577.0 558.0 per 100,000
E13 - Hip fractures in people aged 65 to 79 65-79 yrs Persons 2022/23 284.9 254.3 243.8 per 100,000
E13 - Hip fractures in people aged 80 and over 80+ yrs Persons 2022/23 1,711.0 1,512.9 1,469.0 per 100,000
E14 - Winter mortality index All ages Persons Aug 2021 - Jul 2022 5.7 6.5 8.1 %
E14 - Winter mortality index (age 85 plus) 85+ yrs Persons Aug 2021 - Jul 2022 20.8 8.5 11.3 %
E15 - Estimated dementia diagnosis rate (aged 65 and older) 65+ yrs Persons 2024 58.9 67.1 64.8 per 100
Source: OHID Fingertips

Prevalence Maps of Derbyshire

The maps below illustrate Lower Super Output Areas (LSOAs) and Middle Super Output Areas (MSOAs) for Derbyshire. LSOAs and MSOAs are geographical divisions used for statistical purposes, allowing for more detailed analysis of local data. In these maps, you can explore various health indicators and data for Derbyshire, providing valuable insights into the area’s health and wellbeing.

In the top right of the map, you’ll find the ‘Layer Control’ icon. This is an easy way to customise what you see on the map visualisation. Click the ‘Layer Control’ to choose which information is displayed on the map. Pick the indicator that interests you the most, and the map will transform accordingly.

further analysis and assessments Further Analysis & Assessments

Derbyshire Joint Strategic Needs Assessment (JSNA) involves a thorough examination of a specific health problem, exploring its causes, consequences, and underlying factors. It combines various data sources, collaboration with stakeholders, and rigorous analysis to generate insights for evidence-informed interventions and policy changes.

more information and resources More Information & Resources

Contributors

Nicola Bruce, Service Development Officer, High Peak Locality

Beverley Munoz-Pujol, Health Improvement Practitioner, High Peak, Localities/Place