## Future Funding Outlook 2014 Technical Annex

2014 Funding outlook for councils: methodology, assumptions and data sources Local Government Association July 2014 

## Future Funding Outlook - Technical Annex Methodology

This section explains the methodology used to prepare the LGA Future Funding Outlook Model 2014. The majority of base data on the financial positions of councils was taken from Communities and Local Government finance statistics. Key data sources include: 

 2010/11 Revenue Outturn (RO)  2011/12 Revenue Outturn  2012/13 Revenue Outturn  2013/14 Revenue Account (RA)  Data from the 2014/15 final local government finance settlement, and 
indicative 2015/16 settlement  
A full list of data sources is provided in 0. The model calculates the individual position of each council based on a number of assumptions and cost projections and then aggregates each individual case up to provide a national picture.  

## Funding Assumptions

The model projects the likely path of council revenue, based on a number of assumptions:  
Council tax: Figures for 2010/11, 2011/12 and 2012/13 are taken from the RO, for 
2013/14 from the RA and for 2014/15 from CLG Council Tax levels. We have assumed that council tax will increase by 1 per cent in 2015/16 and will thereafter grow by 1.5 per cent per year. Tax base growth in 2014/15 is based on CLG tax base data.  We have assumed a modest growth in the tax base from 2015/16 that is calculated from the geometric mean of current tax base trends and projected household growth in each local authority area. This works out at an average of 0.5% annual growth.  
Business Rates:  For 2013-14 and 2014/15 we have taken estimates of the  local share from CLG's National Non-domestic rates: local authority level data - we add top-ups, tariffs, levy and safety net payments where applicable We have assumed for 2015/16 and beyond that  Business Rates grow by retail price index (RPI) plus a local growth estimate that combines a two year local trend in rateable value with the 0.3 GDP fan from the OBR predictions.  This works out at an average growth of 0.5% by 2017/18.  We have uprated tariffs and top-ups by RPI inflation and calculated levy and safety net payments where applicable Grant funding: Figures for 2010/11,2011/12 and 2012/13 are taken from RO; for 
2013/14 from RA and for 2014/15 from the final local government finance settlement and for 2015/16 from the indicative local government finance settlement. Other specific grants from CLG specific grant data are either individually listed or combined dependent on size. For 2016/17 and later the grant funding trajectory is based on a calculation of the overall reduction in Settlement Funding Assessment.. The central assumption is an 8% cut in 2016/17 reducing to a 7% cut in 2017/18 and onwards. The New Homes Bonus is projected separately using a rolling average to project current year amount summed with the preceding years, up to a total of six years. The Better Care Fund is assumed to benefit social care authorities by £1.0 billion in 2015/16, rising to £1.5 billion in 2016/17 and each year thereafter.  This is distributed on the basis of 2013/14 social care funding allocations. 

Public health: We have used the public health funding allocation for 2013/14 and 
2014/15 and for following years have assumed that the overall level of funding rises in line with CPI inflation.  
Investment income: We have used the RO returns for 2010/11,2011/12 and 
2012/13, and RA returns for 2013/14. We have thereafter assumed that investment income will rise in line with RPI inflation.  
Transfers to and from reserves: We have used the RO returns for 2010/11, 
2011/12 and 2012/13, and RA returns for 2013/14. The model assumes that where a funding gap exists each authority will draw up to 5 per cent of their reserves each year to plug the gap, with the reserve level never going below 5 per cent of total annual expenditure. If the funding level is above predicted expenditure then all surplus will be added to reserves for that year.  

## Expenditure

The funding model then projects the path of council spending between 2011/12 and 2019/20 in ten major service blocks:  

 education (excluding the Dedicated Schools Grant)  
 social care  highways, roads and transport  housing (not including housing revenue account (HRA) or housing benefit)  culture, recreation and sport  environment including waste  regulatory  planning and development  other services  public health 
Net Expenditure was split into its four composite parts and then drivers were applied to each as applicable. The four parts to net expenditure are 

 employee expenditure  
 running Costs  sales, fees and charges  other income 
The RA data that forms the baseline for 20113/14 does not include data on fees and charges, so we assumed a consistent level of income from 2012/13 RO forms and used RO data to provide a split in expenditure categories. We assumed that additional income from sales, fees and charges would be sensitive to prevailing economic conditions and applied a multiplier derived by calculating the difference between consumer price index (CPI) and the output gap to market-facing services. 

Sales, fees and charges and other similar income are treated as reductions to gross expenditure to arrive at 'net expenditure' within the model, rather than being treated as a source of funding. This means that an increase in sales, fees and charges would reduce the funding gap by reducing total expenditure rather than by increasing total funding. Spending has been excluded on Fire (as a group of single-service authorities with their own precept), Police (for the same reason, as well as reflecting the likelihood that they will continue to receive differential treatment in the Spending Review and future council tax frameworks).  The exceptions to this are where Fire Services are provided by a county or unitary authority - in such authorities it is impossible to isolate the funding for fire services separately so we have included this expenditure within "other" services.  The total of such expenditure nationally is £0.3 billion, which is immaterial in terms of the overall funding gap.  The model also includes within "other" expenditure spending on Police services by the City of London - again this amount is immaterial nationally at £77 million. Spending has been excluded on HRA and housing benefit spending (as self- or separately-funded areas), and schools spending funded by the Dedicated Schools Grant and pupil premium. For each service area, baseline spending has been set using 2013/14 Revenue Accounts and projected using the major drivers of cost for those services. Drivers essentially break down into two categories:  

 drivers of unit cost (e.g. inflation, pay drift, efficiencies, etc.)  drivers of service usage (e.g. population change, increased traffic miles, etc.).  
The model also builds in efficiency assumptions. In this version of the model, the assumption is uniform for most services: councils start by achieving 2 per cent annual efficiency savings which tapers to 1 per cent by the end of the period. This is increased for Central Services. It is sensible to assume diminishing returns from efficiency as recent LGA research has shown that the well of efficiencies is running dry1 

                                           

## Cost Drivers In Service Expenditure

This section sets out the primary cost drivers that have been applied to each service area and identifies other factors which are likely to drive costs but which we have not been able to quantify. All service expenditure has, where possible, had local authority level data applied.  

## Education

 Expenditure excludes services funded by Dedicated Schools Grant, Pupil 
Premium, and Further Education Funding.  
 CPI inflation, Pay Drift and the Office for National Statistics (ONS) projections 
for child population were applied as cost drivers in the model.  
 Child population numbers were used rather than pupil numbers because 
education-related services that are funded from outside the Dedicated Schools grant have a user base that extends beyond pupils.  
 The impact of central government policy decisions such as increased number 
of academies and knock-on effects of any future changes to the schools funding formula are not reflected in the model.  

## Children'S Social Care

 Health and social care unit costs remain constant in real terms to 2015 and 
then rise by 2% per year in real terms (but non-labour non-capital costs remain constant in real terms). This follows the approach taken by the PSSRU when modelling future social care costs for the Dilnot report. This is intended to reflect key unquantifiable cost drivers such as changes to the length of time spent in care, increase in referrals, use of agency staff, complexity of care needs, etc. 
 Service usage is projected based on the change in child population in each 
local authority area.  
 The Children and Family Court Advisory and Support Service also report that 
there has been a sustained increase in the number of councils applying to the courts for Care Order since the Baby P case, but the numbers are still too volatile for a trend to be predicted and the average costs for councils leading up to a court application have not been accurately determined.  

## Adult Social Care

 Health and social care unit costs remain constant in real terms to 2015 and 
then rise by 2% per year in real terms (but non-labour non-capital costs remain constant in real terms). This follows the approach taken by the PSSRU when modelling future social care costs for the Dilnot report.  
 Service usage is projected based on the change in either over 65 (for older 
people services) or working age (for other adults) population in each local authority area.  
 The impact of changes to the types of care that people receive, Dilnot 
proposals/ government changes to funding of ASC, changes to NHS spending on reablement and other services, and the impact of shortfalls in Disabled 
Facilities Grant funding have not been applied to the model.  

## Highways, Roads And Transport

 For concessionary fares, CPI inflation, pay drift and the projected increase in 
people over the State Pension Age are applied as cost drivers. 
 For other transport spending, we applied CPI inflation, pay drift and vehicle 
miles based on the Department for Transport's (DfT) 2011 Road Traffic 
Forecasts.  

## Housing

 CPI inflation, pay drift and the change in the number of households are 
applied as cost drivers.  
 The model includes an adjustment designed to take account of the impact of 
housing benefit changes and the economic downturn on demand for housing advice, applications for homelessness, demand for Disabled Facilities Grant, etc. This is based on a report by the Cambridge Centre for Housing and Planning Research.  

## Culture, Recreation And Sport

 CPI inflation, pay drift and the change in population are applied as cost 
drivers.  

## Environment

 CPI inflation, pay drift and the change in population are applied as cost drivers 
to non-waste management areas.  
 Inflation, pay drift and the change in households are applied as cost drivers to 
waste collection and recycling.  
 Cost of landfill: Based on DEFRA modelling that overall waste arisings will 
decrease and the amount of waste landfilled will decrease. Landfill tax will remain at £80 per tonne from 2015/16 and landfill gate fees will increase with inflation only.  
 Cost of EFW: Based on DEFRA modelling that overall waste arisings will 
decrease, but the proportion of waste arisings sent as EFW will increase. EFW gate fees will increase with inflation only.  
 Cost of composting gate fees (organics): Based on DEFRA modelling that 
overall waste arisings will decrease and the proportion of waste arisings composted will remain constant.  Composting gate fees will increase with inflation only. 

## Planning And Development

 CPI inflation, pay drift and the change in population are applied as cost 
drivers.  
 It also projects that the number of planning applications will stay constant to 
2013/14 but will thereafter increase by 5 per cent a year as a result of economic recovery and will climb gradually back to the levels received by councils at the start of the last decade.  

## Other Services

 CPI inflation, pay drift and the change in population are applied as cost 
drivers.  
 The model assumes that councils will continue to target corporate and back 
office functions to achieve maximum savings, but will soon reach a point when they see diminishing returns, given the high levels of efficiency savings from 
these functions they have already realised. The efficiency savings applied to Central services are hence double those applied to all other services.  
 The cost of servicing capital financing costs has also been included as an 
expenditure item and assumed to stay flat throughout the period. This may be an underestimate since borrowing costs can be expected to return to higher levels over the decade. Higher interest rates would only apply to a small proportion of total local authority borrowing and the resulting cost pressures are not expected to have a material impact on expenditure for councils at a 
national level.  

## Public Health

 As the service only started to be provided by local government in 2013/14 the 
projected expenditure is the same as agreed funding, increasing by inflation only. This makes it cost neutral within the model. 

## Summary Of Cost Drivers

Population 
Other 
Pay drift 
Charges 
Efficiencies 
CPI Inflation 
65 & over 
Sales, Fees and 
SPA & over 
Households 
 
All 
Child 
Working Age 
Education 
X 
X 
 
X 


2.8 - 2% 
2-1% 
Transport 
X 
X 


2.8 - 2% 
2-1% 
Maintenance and Winter Service 
X 
X 


X 
2.8 - 2% 
2-1% 
Parking 
X 
X 


X 
1.1-2.5% 
2-1% 
Road Safety Education 
X 
X 
 
X 


2.8 - 2% 
2-1% 
Street Lighting 
X 
X 


X 
 
2.8 - 2% 
2-1% 
Concessionary Fares 
X 
X 


X 
 
 
1.1-2.5% 
2-1% 
Social Care 
X 


X 


X 
2.8 - 2% 
2-1% 
Children 
X 
 
 
X 


X 
2.8 - 2% 
2-1% 
Older People 
X 


X 
 
 
X 
2.8 - 2% 
2-1% 
Other adults 
X 


X 


X 
2.8 - 2% 
2-1% 
Housing 
X 
X 


X 
X 
2.8 - 2% 
2-1% 
Cultural 
X 
X 
X 


1.1-2.5% 
2-1% 
Libraries 
X 
X 
X 


X 
1.1-2.5% 
2-1% 
Environmental 
X 
X 
X 


2.8 - 2% 
2-1% 
Waste Disposal 
X 
X 


X 
1.1-2.5% 
2-1% 
Waste Collection 
X 
X 


X 
 
1.1-2.5% 
2-1% 
All other Waste 
X 
X 


1.1-2.5% 
2-1% 
Regulatory 
X 
X 
X 


2.8 - 2% 
2-1% 
Planning and Development 
X 
X 


X 
 
1.1-2.5% 
2-1% 
Planning Policy 
X 
X 


X 
X 
1.1-2.5% 
2-1% 
Central Services 
X 
X 


2.8 - 2% 
4-2% 
Capital Financing 


n/a 
0% 
Public Health 
X 


n/a 
0% 
 

## Appendix 1: Comparison With Previous Models

There are key differences in both the data sources and functionality of the 2012 preliminary model and the 2013 model, which inevitably lead to different outcomes. 

The differences between the 2014 model and its immediate predecessor are less pronounced but nonetheless have an impact on the outputs.  This section is intended to highlight the key differences between models.  It is difficult to quantify the effect that each of these has on the final funding gap as many of them are inter-related. 

 

| 2012 Preliminary Model        | 2013 Model                    | 2014 Model                                |
|-------------------------------|-------------------------------|-------------------------------------------|
| Uses 2010/11 RO data and      | Uses 2010/11 and 2011/12      | Uses 2010/11, 2011/12 and 2012/13         |
| 2011/12 RA data.              | RO data and 2012/13 RA        | RO data, and 2013/14 RA data.             |
| data.                         |                               |                                           |
| Excludes Public Health        | Includes Public Health        | Includes Public Health                    |
| Figure for English Councils   | Figure for English Councils   | Figure for English Councils is derived    |
| is calculated at the          | is derived from each council  | from each council figures being totalled  |
| aggregate level (i.e. cost    | figures being totalled (i.e.  | (i.e. local cost drivers applied at local |
| drivers applied to national   | local cost drivers applied at | level and then aggregated).               |
| figure)                       | local level and then          |                                           |
| aggregated).                  |                               |                                           |
| Cost drivers were applied to  | Cost drivers are applied to   | Cost drivers are applied to each          |
| Net Expenditure gross of      | each element of next          | element of next expenditure (employee     |
| SFC and SFC then totalled     | expenditure (employee         | costs, other running costs, SFC and       |
| to reach Net Expenditure      | costs, other running costs,   | other income) and then combined.          |
| figure.                       | SFC and other income) and     |                                           |
| then combined.                |                               |                                           |
| Expenditure was divided       | Expenditure is split into the | Expenditure is split into the most        |
| into 13 aggregate elements    | most granular elements        | granular elements possible given the      |
| and then cost drivers were    | possible given the data       | data which equates to 77 lines of         |
| applied.                      | which equates to 77 lines of  | expenditure.                              |
| expenditure.                  |                               |                                           |
| Cost drivers were based on    | Some cost drivers were        | Some cost drivers were updated based      |
| policy assumptions and data   | updated based on new          | on new available data or shifts in        |
| as at May 2012.               | available data or shifts in   | policy/economic assumptions.              |
| policy/economic               |                               |                                           |
| assumptions.                  |                               |                                           |
| Used inflation projections as | Uses updated CPI inflation    | Uses updated CPI inflation figures from   |
| at May 2012.                  | figures from the OBR          | the OBR forecast March 2014.              |
| forecast March 2013.          |                               |                                           |
|                               |                               |                                           |
| 2012 Preliminary Model                  | 2013 Model                            | 2014 Model                         |
|-----------------------------------------|---------------------------------------|------------------------------------|
| Uses 2010/11 RO data and                | Uses 2010/11 and 2011/12 RO data      | Uses 2010/11, 2011/12 and          |
| 2011/12 RA data and data from           | and 2012/13 RA data and data from     | 2012/13 RO data and 2013/14 RA     |
| the March 2012 Budget.                  | the March 2013 Budget.                | data, data from the 2014/15 final  |
| settlement and 2015/16 indicative       |                                       |                                    |
| settlement.                             |                                       |                                    |
| Excludes Public Health                  | Includes Public Health                | Includes Public Health             |
| Reserve levels from 2013/14             | Reserves are used or invested based   | Reserves are used or invested      |
| estimated to decrease by £300           | on need - if a funding gap exists up  | based on need - if a funding gap   |
| million then increase by £600           | to 5% of reserves would be used       | exists up to 5% of reserves would  |
| million over the next six years.        | each year with level never going      | be used each year with level never |
| below 5% total annual expenditure.      | going below 5% total annual           |                                    |
| Where funding greater than              | expenditure. Where funding greater    |                                    |
| expenditure reserves are increased.     | than expenditure reserves are         |                                    |
| increased.                              |                                       |                                    |
| Interest and investment income          | Interest and investment income was    | Interest and investment income     |
| was increased by the Gilt Market        | increased by the Gilt Market rate     | increased by RPI inflation         |
| rate each year. Gilt rate taken         | each year, but a small proportion was | projection each year.              |
| from March 2012 budget.                 | affected by changes to reserves to    |                                    |
| reflect equity profile. Gilt rate taken |                                       |                                    |
| from March 2013 budget and was          |                                       |                                    |
| lower than previous year.               |                                       |                                    |
| Council Tax was estimated for           | Council Tax data for 2013/14 from     | Council Tax for 2014/15 calculated |
| 2013/14 and then increased by           | requirement. Base increased based     | from CLG council tax statistics.   |
| 0.5% (base) and rate frozen till        | on local base calculation             | Base increased based on local      |
| 2014/15 then increased at 2%.           | incorporating adjustment for          | base calculation incorporating     |
| projected local household change.       | adjustment for projected local        |                                    |
| Rate increased by 1% in 2014/15         | household change. Rate increased      |                                    |
| then by 1.5% per annum.                 | by 1% in 2015/16 then by 1.5% per     |                                    |
| annum.                                  |                                       |                                    |

Business rates estimated for CLG Headline information is used for 
2013/14 and 2014/15 Business 
2013/14 and then increased by 
2013/14 and 2014/15. Rates Rates data taken from CLG NNDR 
standard 3.5% a year.  
increase by RPI plus estimate of local data.  Rates then increase by RPI 
growth based on two year average plus estimate of local growth based trend and projected GDP growth.  
on two year average trend and projected GDP growth Grant funding up to 2012/13 
Grant funding up to 2012/13 taken Grant funding up to 2013/14 taken taken from RO and RA. For from RO and RA. For 2013/14 and from RO and RA. For 2014/15 and 
2013/14 and 2014/15 
2014/15 figures from CLG headline 
2015/16 figures from LG finance assumptions made based on figures from LG finance settlement.  
settlement.  For years beyond assumed settlement. For years 
2015/16 headline reduction applied calculated based on a decrease in beyond assumed a constant rate as per Spending Round Settlement Funding Assessment of of decrease at same rate as announcement of June 2013.  For 
8% in 2016/17 and 7% each year previous spending review period.   
years beyond assumed a constant thereafter. 

rate of decrease (adjustable) but accounted for level of grant funding for new homes bonus.  
 

## Appendix 2: References And Data Sources 2010/11 Data 2010/11 Revenue Outturn (Dclg)

https://www.gov.uk/government/publications/local-authority-revenue-expenditureand-financing-england-2010-to-2011-individual-local-authority-data--5 

## 2011/12 Data 2011/12 Revenue Outturn (Dclg)

https://www.gov.uk/government/publications/local-authority-revenue-expenditureand-financing-england-2011-to-2012-individual-local-authority-data--2 

## 2012/13 Data 2012/13 Revenue Outturn (Dclg)

https://www.gov.uk/government/publications/local-authority-revenue-expenditureand-financing-england-2012-to-2013-individual-local-authority-data-outturn 

## 2013/14 Data 2013/14 Revenue Account (Dclg)

https://www.gov.uk/government/publications/local-authority-revenue-expenditureand-financing-england-2013-to-2014-individual-local-authority-data 

## 2014/15 And 2015/16 Data 2014/15 Final Local Government Finance Settlement, And 2015/16 Indicative Settlement

https://www.gov.uk/government/collections/final-local-government-financesettlement-england-2014-to-2015 
Council Tax levels in England 2014/15: 
https://www.gov.uk/government/publications/council-tax-levels-set-by-localauthorities-in-england-2014-to-2015 

## Council Tax Base Statistics:

https://www.gov.uk/government/collections/council-taxbase-statistics 

## Population And Household Projections

2011 Population projections (ONS) http://www.ons.gov.uk/ons/publications/re-reference-tables.html?edition=tcm%3A77- 270247 
2011 Household projections (DCLG) https://www.gov.uk/government/publications/household-interim-projections-2011-to- 2021-in-england 

## Other Background Data

Rateable Value statistics (VOA) http://www.voa.gov.uk/corporate/statisticalReleases/120517_CRLFloorspace.html 

## Economic And Fiscal Outlook (Obr)

http://budgetresponsibility.org.uk/economic-fiscal-outlook-march-2014/ 

## Road Transport Forecasts (Dft)

https://www.gov.uk/government/publications/road-transport-forecasts-2011-resultsfrom-the-department-for-transports-national-transport-model 

## Written Reports

PSSRU, 2011. Projections of Demand for Social Care and Disability Benefits for Younger Adults in England http://www.pssru.ac.uk/pdf/DP2880-3.pdf PSSRU, 2011. Projections of Demand for and Costs of Social Care for Older People in England, 2010 to 2030, under Current and Alternative Funding Systems http://eprints.lse.ac.uk/40720/1/2811-2.pdf OBR, 2014. *Economic and Fiscal Outlook March 2013* http://budgetresponsibility.org.uk/economic-fiscal-outlook-march-2014/ CCHPR, 2010. How will changes to Local Housing Allowance affect low-income tenants in private rented housing? 

http://england.shelter.org.uk/__data/assets/pdf_file/0016/290041/CCHPR_final_for_ web_2.pdf DEFRA, 2012. Forecasting 2020 waste arisings and treatment capacity https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/18181 6/pb13883-forecasting-2020-waste-arisings.pdf.pdf