Angus Council Housing Need & Demand Assessment Steering Group Meeting 16th December 2009 Client Logo Here Aims of Session 1. To detail methodology for disaggregating the requirement for affordable housing 2. To review disaggregated model outcomes 3. To agree assumptions for projections: future housing need/supply 4. To agree structure and presentation of final report Client Logo Here Baseline Housing Need Calculation for Affordable Housing Client Logo Here Affordable Housing Need Calculation Current Need X (a quota) Plus Newly Arising Need Minus Supply of Affordable Housing Net Shortfall/ Surplus Equals Client Logo Here Affordable Housing Need Calculation Current Need: Unsuitable Housing • • • • • • Homeless or with insecure tenure: 175 Concealed Households: 219 Overcrowding: 779 Special Needs: 3,194 Poor Condition: 428 Harassment: 127 Current Need = 4,922 Client Logo Here Affordable Housing Need Calculation Total Current Need – Eliminate: • ‘In situ solutions’: Provision of aids/adaptations/support = 680 Net ‘Special Need’ figure = 2,514 • Net ‘Current Need’ figure = 4,242 Then eliminate • % can meet need in private housing market 52% households can meet market entry price Net Current Need = 2,206 Client Logo Here Affordable Housing Need Calculation Newly Arising Need • New household formation: 771 Eliminate new formers who can afford to meet market entry level prices (32%) • Existing households falling into need: 724 Change in household circumstances including annual flow of homeless households Newly Arising Estimate = 1,248 Client Logo Here Affordable Housing Need Calculation Affordable Housing Supply • Affordable housing relets: 1,075 • Committed new affordable supply: 50 • Turnover net of units taken out of management: 0 demolitions • Annual Supply Estimate = 1,125 Client Logo Here Affordable Housing Need Calculation Interim Calculation Estimate • Current need = 4,922 Net current need = 2,206 Net annual current need = 221 (10 years) • • • • • Annual newly arising need = 1,248 Annual total need = 1,469 Annual affordable supply = 1,125 Estimated shortfall = -344 10 year Est. shortfall = -3,440 Client Logo Here Disaggregated Calculation for Affordable Housing Client Logo Here Projecting Future Need Aggregated Housing Needs Analysis: – assumes the current profile of housing supply can meet the type of need identified – assumes need is met over 5 year period Disaggregated Analysis: − determines if supply is ‘fit for purpose’ − detailed match of households to homes by size, area, property type and tenure − assesses if annual need is met by supply and extent to which backlog can be reduced − identifies length of time to address backlog − provides detailed profile of housing shortfall/ surplus to inform strategic planning Client Logo Here Annual Newly Arising Need Area Annual Supply Matched to Area Size Size Type Type Backlog Housing Need Area Size Residual Supply Type Residual Backlog Projected Forward Over Time Until Eliminated Client Logo Here Model Overview • Disaggregated Methodology • Model Assumptions Backlog Newly Arising Need Supply • Model Outputs • Key Questions Client Logo Here Base Assumptions • The model is based on the 3 components of the aggregated HNADA calculation Backlog figure Newly arising need figure Supply figure • 10 year projections model • Data input by HMA, Size, Type • 4 Housing Market Areas North HMA (Brechin & Montrose), East HMA (Arbroath), South HMA (Carnoustie, Monifieth & Sidlaws), West HMA (Forfar, Kirriemuir, Angus Glens) Client Logo Here Base Assumptions • Size: Bedrooms 1 to 5 • Property Type General Needs Special Needs • • • • Wheelchair Accommodation without Stairs Sheltered Supported Client Logo Here Base Assumptions • Input by 7 components of need and split by area and size based on analysis of survey or council datasets • • • • • • • Homeless Households = 136 Insecure Tenure = 39 Concealed Households = 219 Overcrowding = 779 Special Housing: net of in-situ solutions = 2,514 Poor Quality = 428 Harassment = 127 TOTAL = 4,242 • Facility in model to input projected increase/decreases on base assumptions • Affordability outcomes applied by HMA Client Logo Here Housing Affordability Disaggregated Outcomes by HMA HMA Arbroath Brechin Carnoustie Forfar Angus Lower Quartile Price 2008 80,000 82,875 133,000 94,000 93,000 Backlog NAN Affordability Affordability 49% 44% 61% 54% 50% 68% 51% 65% 59% 68% Net Backlog of Current Need (Angus) = 2,121 Net Backlog of Current Need (4 HMA) = 2,212 New Formers Affordability (Angus) = 524 New Formers Affordability (4 HMA) = 461 Client Logo Here Newly Arising Need Assumptions • New Formation – split by area, size and type based on survey data = 771 Assumption : All General Needs Affordability Factor : applied by HMA Facility to increase/decrease per annum • Homelessness input by area, size and type based on analysis of HL1 dataset = 724 Assumption : All General Needs? Increase p.a. according to 2012 target • 724 = 2008/09 (85% priority assessment) • Increased to 100% (2009/10 – 2012/13) Client Logo Here Supply Assumptions • Council & RSL stock calculation, split by HMA, size and type • Adjusted for long term voids and units taken out of management • Council & RSL relet rate established by area and type based on turnover analysis Applied to stock to translate into annual supply of affordable dwellings by area, size and type Facility to model increase/decrease in supply and turnover rate Client Logo Here Baseline Year Supply Assumptions • Total Affordable Stock = 10,866 Angus Council = 7,817 RSL’s = 3,049 units • Adjusted for RTB Projections 31 units per annum (average 2009-19) AC HRA Business Plan assumptions • Adjusted for demolitions = 0 • Turnover rate by HMA/type applied to stock to produce vacancies Angus Council Ave for GN stock = 7% RSL Ave for GN stock 6% Client Logo Here Baseline Year Supply Assumptions New Affordable Housing Supply • Based on TAYplan assumptions Based on AHIP budget and £74k cost per unit Reduction in AHIP of 25% from 2009/10 level Projected over 10 years • 49 units per annum • Split new housing by area, size and type as per the current stock profile • Relet rate based on 50% of the average RSL rate (3%) Client Logo Here Disaggregated Outcomes Key Outcomes • Year 1: 2,439 households have unmet need • Year 5: 3,228 households have unmet need • Year 10: 4,399 households have unmet need Headlines at Year 5 • Shortfall of affordable housing highest in South (-1,605) & West (-1,339) HMA’s • Shortfall of affordable housing greatest in 4 bedroom properties: (-1,188) (35%) • 85% of shortfall is in General Needs housing • 15% of shortfall is in Special Needs housing Client Logo Here Disaggregated Outcomes Key Drivers in Increasing Shortfall • Baseline backlog current need = -2,277 • Average annual shortfall = -193 Minimum shortfall = - 53 (baseline year) Maximum shortfall = -238 (Year 10) • Annual shortfalls increase as a result of: Increasing number of annual homeless households Reducing stock numbers • Cumulative annual shortfall = -2,122 • Backlog + total annual shortfall = -4,399 Client Logo Here Unmet Need for Affordable Housing Client Logo Here Unmet Need for Affordable Housing by Area Client Logo Here Unmet Need for Affordable Housing by Type Client Logo Here Unmet Need for Affordable Housing by Size Client Logo Here HNADA Conclusions – Key Issues Client Logo Here Market Housing Requirement: Key Issues • There are significant differences in market housing demand between HMA’s Demand concentrated in the South HMA • Since 2007 there has been a significant drop in the level of sales activity within the market (30%) For modelling purposes, it is anticipated that the market will to its 2007 level by Year 10 • The evidence supports the view that by 2019 there will be a shortfall of over 6,000 market dwellings throughout Angus Client Logo Here Market Housing Requirement: Key Issues • Difficult to predict the likely pattern of market recovery the evidence suggests that high quality market housing for older households is likely to be a robust market sector • Given the assumptions used within the model the land requirement for market housing can be assessed by: (Known current land bank) – (land requirement for assumed level of new build within model (290 units)) + (land requirement to meet unmet need of 6,000 households) Client Logo Here Recommendations • The number of households in need does NOT equal number of units to be delivered • Need could be met through range of interventions programmed though LHS: developing partnerships with the private rented sector; tackling private sector disrepair; using assistive technology to promote independence in older people; tackling and preventing homelessness; making better use of the current affordable and private stock; developing flexible tenure options; and increasing housing supply. Client Logo Here Providing Housing Support Tackling Homelessness 2012 Target Assessment Local Need Local Housing Strategy Climate Change Challenge Housing Supply Target Housing Market Area Evidence Local Need Fuel Poverty Strategy Meeting Housing Need & Demand Investment Direction Development Plan Link Private Sector Housing Local Delivery Role of PRS in Meeting Need Achieving Sustainable Communities Local Actions Enforcement SOA Local Duty SHIP Client Logo Here Recommendations • AC should prepare an action plan quantify potential impact of each intervention set targets for projected impact on overall level of unmet need • Residual need should be starting point for supply target setting • This process should consider land capacity development industry capacity availability of development funding corporate vision: Strategic Outcome Agreement Client Logo Here
© Copyright 2026 Paperzz