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Rural Policy Support
One North East
Working Paper 1
The Evidence BaseSection A - Overview
June 2009
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Contents1 EXECUTIVE SUMMARY............................................................................................................................................................... 12 INTRODUCTION ..................................................................................................................................................................... 103 STRATEGIC CONTEXT............................................................................................................................................................. 124 METHODOLOGY..................................................................................................................................................................... 165 BUSINESS AND ECONOMY....................................................................................................................................................... 246 EMPLOYMENT AND SKILLS...................................................................................................................................................... 367 SOCIAL EXCLUSION AND ACCESS ............................................................................................................................................ 428 QUALITY OF LIFE AND PROMOTION ........................................................................................................................................ 509 PLACE.................................................................................................................................................................................... 5310 SWOT ANALYSIS..................................................................................................................................................................... 5711 ANNEX A INDICATOR LIST.................................................................................................................................................... 60
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2Rural Policy Support Working Paper 1, June 2009
Strategic context (Section 3)1.6 This research comes during a period of considerable change,
both in terms of national rural policy, as well as regional andsub-regional governance structures and approaches to
economic development. This project specifically takes note
of the following contextual factors:
mainstreaming of rural issues across governmentactivity, addressed by the development of policy tools to
ensure effective mainstreaming in the Agency the creation of new integrated regional strategies and
the associated shift of regional planning responsibilities
jointly to RDAs and Local Authorities, requiring the
evidence base to extend beyond a purely economic
overview of rural performance
the City Region agenda, requiring the evidence base toconsider factors where interdependency between urban
and rural areas is strong, such as housing and
commuting patterns
the Rural Development Programme for England (RDPE),which will deliver 7.2m of support to the rural North
East each year to 2013
Methodology (Section 4)1.7 This assignment is being overseen by a cross-agency
Steering Group of representatives from One Northeast and
NERIP. The Steering Group ensures that the relevant agency
departments are fully involved in the decisions and thinking
that underpin this research. This is crucial for the
subsequent buy-in of the agency to the concept of rural
mainstreaming.
Data selection1.8 The selection of the data sets for the evidence base went
through a series of iterations. The final list of indicators used
was selected and agreed with the Steering Group based on
the following principles:
level of detail: where possible, data has been used at thesmallest spatial level Lower Super Output Area (LSOA)
to provide as detailed a picture of rural areas as
possible
reliability: notwithstanding the need for detail, somedata was collected at a higher spatial level in order to
provide a reliable statistical picture; in particular, figures
for Gross Value Added (GVA) have been collected at
county (NUTS3) level
breadth of coverage: given the limited amount of dataavailable at LSOA level, substantial evidence was also
collected at Local Authority District (LAD) level to
provide a wide range of data coverage.
comparison with other rural regions: key data sets wereanalysed across the rural areas of Englands regions to
understand the relative performance of the rural North
East
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3Rural Policy Support Working Paper 1, June 2009
repeatability: data has primarily been sourced fromreadily accessible and regularly updated sources to
allow retrospective analysis of trends and subsequent
updating of the evidence in the future
1.9 The data set encompasses a wide range of factors which arebroadly categorised in this paper under four main headings:
Business and economy: productivity; enterprise;business characteristics; industry sectors; demographics
Employment and skills: travel flows; qualifications;employment patterns
Social exclusion and access: deprivation; housing;economic activity and benefits
Quality of life and promotion: environmental quality;land use; tourism
Definitions1.10Two recognised and accepted rural definitions have been
used to analyse the rural North East:
at LSOA level, the 2004 rural typology used by theOffice for National Statistics (ONS) based on settlement
type and population density
at Local Authority level, Defras 2009 classification based on the ONS typology, but applied at district level
1.11District level analysis of rural areas is recognised as havinglimitations, in that it delivers a generalised picture at quite a
high spatial level. However, the volume of information
available at district level argues for its inclusion in the
evidence base. Where possible, we highlight the spatial level
at which information is being analysed.
Analysis1.12 In analysing the evidence, we have focused on answering the
following key questions:
How do the rural areas of the North East perform,relative to the region as a whole, other rural regions,
and rural England?
What differences are there in the performance of theNorth Easts rural areas that deserve to be brought to
the attention of regional policymakers?
Consequently, what are the rural regions strengths,weaknesses, opportunities and threats?
1.13Where possible, the analysis seeks to identify the differencesbetween rural areas in the region, highlighting the variety
within them. This includes a consideration of the
performance of the regions rural Uplands, as well as the
main market towns.
1.14For ease of use, the analysis and evidence base in thisWorking Paper have been divided into two separate sections.
Section A contains the analysis and findings; Section B the
evidence base itself.
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6Rural Policy Support Working Paper 1, June 2009
region. The deprivation tends to be less concentrated, and
less evident as a result, but no less important.
1.23There are some specific characteristics of rural deprivation inthe North East:
Lack of opportunity: areas of rural deprivation can oftenbe seen adjacent to successful and affluent areas. Much
of the remote Upland area is experiencing consistently
high levels of deprivation, but these are most likely
related to limited local opportunities for employment in
low skilled and low wage economies.
The decoupling of wider deprivation and crime: this isparticularly the case in the more sparsely populated
areas, where general deprivation does not necessarily
lead to a rise in crime.
Deprivation within and around rural towns:notwithstanding the general picture of affluence in
some rural commuter towns such as Morpeth, there is
evidence of economic deprivation, most likely linked to
a reliance on the local economy for opportunities.
The variety within rural places1.24The rural North East is not homogeneous it offers a wide
variety of settlements and areas. These will be explored in
through this assignments forthcoming typology work, but
the following are easily identifiable from the evidence base:
Proximity and stagnation: the former coalfield areas,especially Sedgefield and Easington, have long term
issues with deprivation and benefits dependency.
Despite their geographic proximity to the City Regioncore, these areas still feel isolated, with their low car
ownership and a relatively small outward flow of
commuters. They also demonstrate less variation
between resident and workplace wage levels, confirming
a greater reliance on the limited opportunities in the
local economy. There is something that holds theseareas back from connecting to the potential
opportunities available in nearby urban areas.
Proximity and prosperity: rural towns such as Alnwick,Hexham and Tynedale are close to the City Region core
and demonstrate high commuter flows. They have
higher proportions of senior and professionaloccupations among their residents; have higher rates of
car ownership; and exhibit greater differences between
workplace and residential wages. Housing affordability
is a major challenge, especially for those residents
reliant on local employment opportunities. Inward
migration is likely to increase the pressures.
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Isolation and deprivation: the most remote communitiesare the most isolated from the opportunities available in
the regions urban core. This remoteness may breed an
economic self-sufficiency which comes through fromthe data: high levels of self-employment, low wages,
but limited claims on state benefits.
The pros and cons of a high quality environment1.25The quality of the North East rural environment is a
significant asset, both for the visitor economy, and the Cityregion. The environment has a strong influence on people
relocating to the region, even if they live in the urban areas.
1.26However, the environment may also be something of aconstraint. The extent of the National Park and other
sensitive environmental sites may limit economic
development through planning regulations.
1.27 It is also important to remember that living in rural areas alsocomes with an environmental impact. It tends to involve
higher energy use for domestic fuel and transport, although
consumption levels tend to be related more strongly to
income levels, car ownership and the size and type of house
rather than rurality per se. Living in a rural area does tend to
mean a greater need for travel, and houses in rural areas are
more likely to be hard to heat.
SWOT (Section 10)StrengthsAspects of strong rural economic performance Productivity in Northumberland exceeds the regional
average, both as a whole and in the business and
financial services sectors. Both rural counties exceed
regional productivity in construction
Economic activity and employment rates are higher inrural districts than for the region as a whole
The robustness of remote rural communities, whereisolation seems to breed economic self-reliance,
characterised by self-employment, part time work and
less reliance on state benefits
Stronger local levels of economic activity in Alnwick,Morpeth and Hexham
Rural areas well-connected to the City Region core Prosperous rural areas with good connections to the
opportunities available in the conurbations
An important source of senior and professional labourto the regional economy
Greater incidence of enterprise activity and betterbusiness survival rates
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A high quality rural environment Very high levels of quality environment, including the
Heritage Coast; Northumberland National Park; and the
North Pennines AONB. These are significant attractions
for visitors and residents alike
WeaknessesThe declining trend in rural productivity performance The existence of low wage rural economies, more
distant from the major urban areas, which lack the scale
to grow and develop
Limited evidence of enterprise activity of a scalesufficient to impact noticeably on regional economic
performance
Fewer people in rural areas with high levelqualifications, and the local employment opportunities
to suit their skills
Lack of access to opportunity Those in the more sparse and remote rural areas do not
have access to the same opportunities as those who live
closer to urban areas
Some areas, especially in the Durham coalfields, areclose to the urban centres, but do not seem to exploit
the opportunities that this affords. The reasons for this
are not clear
Deprivation within and around rural towns Deprivation tends to be clustered around rural towns,
even the more prosperous ones
OpportunitiesSector strengths for the future Manufacturing remains a major rural employer. With a
weak Pound, the sector might be able to exploit the
healthy exchange rate to boost sales and exports, as
and when the country moves out of recession
The tourism sector is also an important rural employer.The general economic situation may persuade Britons to
take holidays in the UK, as might the weak Pound. The
latter may also attract foreign tourists
Exploitation of new technologies Rural businesses could make more of the new
technological developments on offer to grow and
develop
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New employment patterns The nature of rural home working has yet to be
explored in this research. However, given the increase
of e-business and teleworking and employment
flexibility in recent years, there should be more
opportunities for home working. With a high quality
environment on offer for those who locate to the rural
region, this could be a real selling point for rural
economies
ThreatsAn older population The regions rural areas are seeing a marked increase in
the population of a pensionable age, and a decrease in
the working age population, with a consequent impacton the size of the local rural labour market
Housing affordability and employment opportunities arelikely to be driving young people from rural areas into
the conurbations, a pattern witnessed in other parts of
the country
Employment diversification The rural region is reliant for its employment on a few
large sectors, such as construction and manufacturing
and therefore potentially more at risk from economic
shocks. The public sector is also a major employer.
Given the likely future squeeze on public sector
spending resulting from the need to spend public
money now in the recession, employment levels (and
investment) may be affected
Development controls The rural North East is a high quality environment, and
should be protected. But development controls could
have a negative impact on the ability of the rural region
to develop economically
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Objectives for this paper2.4 This paper represents the first substantive output from the
assignment. Its aims are threefold:
to provide an evidence-based picture of the regionsrural areas, drawing on an extensive evidence base ofindicators and datasets; indicators were selected and
agreed by a Steering Group comprising key stakeholders
from One Northeast and the North East Regional
Information Partnership (NERIP) to make comparisons of rural performance and
perspectives at varying spatial levels, for example bybenchmarking the rural North East region with England
or other regions, and rural districts with their urban
counterparts within the North East
to highlight specific strengths, weaknesses,opportunities and threats within the regions rural areasas a prelude to further analysis and policy tool
development in the next phases of this assignment
Report structure2.5 This report is divided into two sections to make it less
unwieldy and easier to read. This first section provides the
overview to the research, analysis and key findings. The
second section provides charts, tables and key messages
from the indicators for those who have more time, and are
interested to find out more about the information that
underpins our thinking.
2.6 The remainder of Section A is structured as follows: Section Three provides the current and future strategic
context which underpins the need for, and focus of, this
research
Section Four outlines our methodology for the researchto date
Sections Five to Nine provide analysis across five broadthemes: Business and the Economy Employment and Skills Social Exclusion and Access Access to Services and Quality of Life Place, specifically the Uplands and rural towns
Section Ten draws together the evidence from theprevious sections and delivers a SWOT (Strengths,
Weaknesses, Opportunities, Threats) analysis.
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for this research, the RSS notes the diversity of landscape and
settlement, need and opportunity that exists within the rural
North East and the importance of not treating it as a
homogenous entity. It defines four key challenges facing theNorth East in particular respect of its rural areas:
Accessibility: the need for improved communications tofacilitate better access to services and economic
opportunities (markets and jobs)
Diversification: the importance of encouraging andfacilitating rural economic diversification away from the
traditional and declining employment and business
sectors
Housing: the lack of decent and affordable housingopportunities for rural residents, especially young
people
Migration: the unsustainable shift of the populationfrom urban to rural settlements
City Regions and the Northern Way3.8 The City Region agenda is a fundamental driver of regional
strategic planning, and underpins the Northern Way Growth
Strategy across the North East, North West, and Yorkshire and
Humber regions. The North East has two City Regions
centred on Tyne and Wear and Teesside (Figure 1).
Figure 1: North East City Regions mapped at ward level (NERIP)
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Integrated Regional Strategy: the new IntegratedRegional Strategy will replace and build on the RES and
RSS. With its development, and the associated shift of
the regional planning role to a joint board of RDA andLocal Authority leaders, One Northeasts strategic
responsibilities will broaden considerably. It is
therefore important that the rural evidence base extends
beyond providing an economic picture, but also
considers spatial characteristics
Local Authority economic assessment duty: theeconomic assessment duty placed on lead authorities
will require them to develop their own evidence-based
picture of performance. For the two new unitary
authorities of Durham and Northumberland, this will
include an assessment of the regions rural areas. This
evidence base may help to support these assessments;at the very least, we should ensure they are providing a
common picture
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4 METHODOLOGYIntroduction
4.1 In this section, we set out the methodology used for theresearch and analysis provided in this Working Paper. It is
divided into several sub-sections:
Steering Group oversight Selecting the data sets Spatial and rural definitions The treatment of GVA Benchmarking Analysis and communication of key messages
Steering Group oversight4.2 This project is overseen by a cross-agency Steering Group of
representatives from One Northeast and NERIP. They include
individuals covering a range of themes including rural policy
and RDPE, transport, strategy and policy development,
business and enterprise, and economic analysis.
4.3 The Steering Group ensures that the relevant agencydepartments are fully involved in the decisions and thinking
that underpin this research. This is crucial for the
subsequent buy-in of the agency to the policy tools that will
eventually be developed.
Selecting the data sets4.4 The first objective for this research was to identify a
commonly-agreed set of indicators that would best represent
the information required to understand the regions rural
areas. Led by the Steering Group, development of the data
sets went through three conceptual stages:
Competitiveness: the original proposal was to use theCompetitiveness Index (Huggins Associates), which
provides a model for the comparative performance ofregions and smaller spatial areas using a basket of
relevant economic indicators. Following the start of the
research, the Steering Group decided that this approach
would not provide a sufficiently robust picture of
regional rural performance. In particular, there were
concerns about the suggested use of experimental
ward-level calculations of GVA (the difficulties of
measuring GVA are discussed later in this report).
Drivers of productivity: the next framework consideredwas productivity and its drivers (Investment, Innovation,
Skills, Enterprise and Competition, plus Employment).
This was primarily rejected by the Steering Group on the
grounds that it was difficult to identify reliable data sets
to measure innovation and competition. In addition this
approach did not encompass all elements of the rural
region that were of interest and potentially relevant to
an economically focused analysis (e.g. quality of place
and environment).
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Final data set: the final data set agreed by the SteeringGroup is one that was developed in several iterations. It
has sought to cover all the key indicators across the
three broad economic development themes ofbusiness, people and place. It includes indicators that
sit in behind the Competitiveness Index, and also help
to understand rural productivity and its drivers. But it
goes much further in examining issues such as
deprivation and environmental quality as part of the
relevant context for the development of the evidencebase.
4.5 The final set of indicators were gathered based on thefollowing requirements:
Relevance: only using those indicators that wereessential to the portrayal and understanding of rural
areas in a way that would help future strategy and policy
development
Repeatability: a focus on readily accessible, andfrequently updated indicators, both to allow
retrospective analysis of trends, and future updating of
the evidence base as required
Comparability: use of indicators that would allowcomparisons to be made at a range of spatial levels
(more detail later in this section)
4.6 The full list of indicators used for this research over 80 inall - can be found at Annex A.
Spatial and rural definitionsThe challenge of defining rural
4.7 To understand the value and contribution of the regionsrural areas to the regions economic growth and quality of
life, they must first be defined, mapped and quantified.
4.8 Rural definitions often vary depending on the spatial level atwhich information is being collected and analysed. The
fundamental principle of this research has been to gather
information at the lowest spatial level available to provide as
detailed and precise a picture as possible. However, not all
data is available at the most detailed level, so we have
therefore focused on obtaining data at three levels, which
have different rural definitions. In descending order of
detail, they are:
Lower Super Output Areas, using the Office for NationalStatistics (ONS) 2004 rural typology
Local Authority Districts, using Defras rural typology NUTS3 county areas, for GVA only, using Defras rural
typology
4.9 Figure 2 overleaf provides an overview of these three levels ofdata, followed by a more detailed explanation of each in turn.
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Figure 2: Spatial levels for data analysis Lower Super Output Area4.10ONS introduced a rural definition in 2004 based on analysis
at LSOA level. Output Areas are classified by settlement type
and population density to provide an eight-way typology, as
outlined in Figure 3, six of which refer to rural areas.
Figure 3: ONS 2004 rural typology (ONS)High levelsettlement Population density
Low levelsettlement
SparseUrban (10,000+population) Less Sparse
(None)
Small town and
fringe
VillageSparse
Dispersed (hamlets
and isolateddwellings)
Small town and
fringe
Village
Rural
Less SparseDispersed (hamlets
and isolated
dwellings)
4.11In the North East, there are 1,656 LSOAs, 307 of which fallinto the various rural definitions used in the ONS typology.
This provides the most detailed spatial picture of the rural
region. However, the amount of detail available at this level
Lower Super Output Area:- mean population of 1,500
- smaller than wards and districts
- 307 rural LSOAs in the North East,
from a total of 1,656
- provides most detail, but not all data
are collected at this level
Local Authority District:- lower tier of two-tier local government
structure in Durham and Northumberland
prior to April 2009 changes
- 14 rural districts in the North East
- a broad definition of rural which does
not account for significant variationwithin districts, but a rich source of data
NUTS3:- statistical EU reference for sub regions- two NUTS3 rural counties in the North
East: Durham and Northumberland
- authoritative source of GVA data
Most detail
Least detail
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is relatively limited. Key data sets include:
Annual Business Inquiry (ABI), which providesinformation on employment and workplaces by industry
sector
Index of Multiple Deprivation (IMD), providing variousdeprivation measures
2001 Census, for travel to work patterns Some benefits information, such as Job Seekers
Allowance and Incapacity Benefit claimant data
4.12The added benefit of using LSOA data is that it can bemapped to show detailed analysis spatially. Figure 4 shows
the extent of the rural region using the ONS definition, with
the urban areas shaded. Upland Areas are a sub-set of the
rural region, and are explained later in this section.
Figure 4: The rural North East using ONS 2004 typology
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Local Authority Districts4.13 In 2005, Defra developed a rural classification for use at Local
Authority District (LAD) level. With the changes to localgovernment structures in April 2009, Defra changed both the
definition and classification of LADs1. Their current
classification of urban and rural areas is outlined in Figure 5.
Figure 5: Defra 2009 rural definition for districtsClassification DefinitionMajor UrbanDistricts (MU)
An urban area with more than 750,000
population
Large UrbanDistricts (LU)
An urban area with a population of
between 250,000 and 750,000
Other UrbanDistricts (OU)
Less than 26% of population in areas
classified as rural, and not part of a major
or large urban area
SignificantRural (SR)
26% and 50% of the population in areas
classified as rural
Rural 50 (R50) 50% to 80% of the population in areasclassified as rural
Rural 80 (R80)at least 80% of the population in areas
classified as rural
1http://www.defra.gov.uk/rural/ruralstats/rural-definition.htm
4.14The April 2009 changes to local government structuresresulted in the 13 former district authorities of
Northumberland and County Durham being brought together
into two new, county-wide unitary authorities. The olddistricts now take the urban/rural classification of their
parent (unitary authority) area. In both cases, this means that
all the districts of Northumberland and County Durham are
now defined as Rural 50. Redcar and Cleveland also
becomes Significant Rural in the new classification.
4.15For the sake of consistency with the new Defra approach, wehave used the new, post-2009 classification. However, this
does impact on the relevance of district level data in rural
terms. For example, the districts of Durham City and
Chester-le-Street become Rural 50, the same classification
as for the most remotest rural areas such as Tynedale. Figure
6 and Figure 7 summarise how the changes have affecteddistrict classifications.
4.16Notwithstanding these issues, data has been collected andanalysed at LAD level because of the volume and reliability of
information available. However, it comes with the health
warning that it can only provide a very generalised picture of
activity at district level.
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Figure 6: Pre-April 2009 Defra rural classification (NERIP) Figure 7: Post-April 2009 Defra rural classification (NERIP)
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Benchmarking4.23An important part of this research is to understand the
relativecharacter and performance of the North Easts ruralareas. This involves benchmarking evidence against other
areas. Comparators and benchmarks were agreed in advance
of the analysis, and focus on the following:
Country: at regional level, the North East isbenchmarked against England, to provide a sense of
how different the North East is to the country as awhole, and to what extent the rural region has to make
up any gaps, such as in terms of economic performance
Other regions: the North East is also benchmarkedagainst other regions to measure performance against a
similar spatial area. This includes looking at the relative
performance of rural regions against rural England andeach other, either using rural LSOA (ONS typology) or
district (Defra classification) data
Intra-region - urban vs. rural: within the North East,rural and urban areas are compared across a range of
data to get a sense of the differences and
commonalities between the two broad settlement types,and also to understand their linkages and dependencies
Intra-region - rural vs. rural: comparisons betweenvarious rural areas in the North East, again to draw out
differences and similarities
Next sections4.24The following sections consider the key issues resulting from
the analysis of the evidence base. The page numbers in
parentheses at the end of paragraphs relate to the relevant
charts and analysis in Section B of this working paper.
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5 BUSINESS AND ECONOMYGVA and productivity
5.1 GVA is a key economic indicator for regional developmentwhich measures the value of goods and services produced by
an economy. Because different regions have different
populations and economies, the use of GVA per capita (head
of population) is used as a common reference point for
comparison.
5.2 Labour productivity measures the amount of GVA producedper worker, which in turn enables the measurement of an
economys efficiency and competitiveness. It is therefore
crucial to understand how the rural North East performs
against these metrics.
5.3 Analysis based on GVA figures must be qualified from theoutset. Information is only available at NUTS3 level, i.e. the
counties of Durham and Northumberland. This includes
some urban areas (such as central Morpeth and Durham City),
and excludes some rural areas, especially in Redcar and
Cleveland.
Low and falling - GVA contribution from the rural region5.4 At 38bn in 2006, the North East has the lowest GVA output
of any English region. The regions two rural counties
contribute 25% to the North East GVA output, the second
lowest rural proportion of any region (22% in Yorkshire and
the Humber). [page 4]
5.5 The rural North East is the only rural region to have seen itsGVA contribution to the regional total drop from 2002 to
2006, suggesting that rural GVA performance hasunderperformed relative to the North Easts urban areas over
the time period. Figure 4 shows the comparative
contributions for the three Northern Way regions. [page 4]
Figure 8: Rural GVA contribution to the region (ONS NUTS3)
27%
34%
22%25%
35%
22%
NorthEast NorthWest YorkshireandtheHumber
2002 2006
Rural productivity is broadly in line with the region...5.6 Productivity (GVA per employee) in the North East was
37,000 in 2006, 85% of the England figure. At 35,000,
County Durhams productivity was 94% of the regional figure.
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In Northumberland, productivity was slightly higher than for
the region as a whole (102%). [page 6]
...but declining over time5.7 Between 2002 and 2006, productivity performance across
rural England has fallen relative to the country as a whole.
The North East has seen the sharpest drop, from 103% of
regional productivity in 2002 to 97% in 2006, with both rural
counties showing similar declines. Figure 9 shows the
comparative figures for the three Northern Way regions[page 6]
Figure 9: Rural GVA per employee compared with regionalperformance (ONS NUTS3)
103%105%
103%
97%
103% 103%
NorthEast NorthWest YorkshireandtheHumber
2002 2006
Strong rural productivity in construction, business services5.8 GVA and productivity are split into six industry sectors,
meaning detailed analysis of performance at sub-sector level
and its implications is not possible. However, productivityperformance in the regions rural counties does clearly vary
between industry sectors. Relative to regional performance,
both rural counties have higher productivity rates than the
region in construction (over 56,000 per employee in
Northumberland and Durham, compared to 49,000 in the
North East as a whole), while the performance of businessservices and finance in Northumberland is very strong
(61,000 compared to a regional figure of 52,000). [page 5]
Lower productivity in production, public sector, distribution5.9 GVA per worker is low in the production and public
administration sectors of Northumberland, relative to theregion. Likewise, productivity is lower than the region in
County Durham among the production and distribution
sectors. [page 5]
Workplace productivity will underplay the rural contribution5.10Productivity calculations are based on the location of the
workplace, rather than the residence of the worker. So
productivity performance for the regions two rural counties
will exclude the contribution made by rural residents who
work in the regions urban areas.
5.11Evidence of high commuter flows from rural to urban areas
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would suggest that a lot of labour productivity value shifts
from rural residential to urban workplace within the regional
economy. [page 68]
5.12This picture is reinforced by the pattern of resident andworkplace weekly earnings: the gap is more than 50 a week
in Chester-le-Street, Alnwick, Castle Morpeth and Tynedale
areas which are also characterised by high commuter flows.
[page 129]
Rural GVA per capita lags regional performance5.13Despite relatively strong growth this decade, the North East
has the lowest GVA per capita of any English region, and its
rural counties lag overall regional performance. Recent GVA
per capita growth in the North East has not been matched by
its rural counties, so County Durham and Northumberland are
slipping further behind. [page 7]
5.14On this economic performance measure, the two ruralcounties show a wider divergence with the region than on
productivity. In County Durham, GVA per capita is 72% of the
regional figure; in Northumberland it is 82%. In a ranking of
Englands 39 rural counties, this places Durham at 35 and
Northumberland at 29. [page 8]
Rural GVA per capita and rural productivity a bigger gap5.15There is clearly a discrepancy between rural GVA per
employee (productivity) and per capita, relative to regional
performance. This can be partially explained by the following
people factors, which are explored later in this report:
the rural North East has a smaller proportion of itspopulation of a working age [page 96]
high commuting levels into urban areas [page 70] some rural worklessness hotspots [page 141]
Industry sectorsRural employment is reliant on a few sectors...
5.16The rural region is reliant on four private sector industriesfor 53% of its workplace-based employment (LSOA data -
Figure 10 overleaf); each comprises at least 10% of total rural
employment: real estate, renting and business activities;
wholesale and retail trade; construction; and manufacturing.
The public sector adds a further 23%). [page 37]
...positive and negative implications5.17The rural North East is more reliant on construction and
manufacturing than rural England or the North East as a
whole. The public sector is also a significant employer. This
could prove a challenge in the current economic climate, with
the contracting of the construction sector, and the likely
future squeeze on public sector spending.
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Figure 10: Key rural employment sectors, 2007 (ABI LSOA)
16%
10%
12%
14%
4%
8%
10%
24%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
%oftotalrural
employment2007
Manufacturing
Construction
Wholesale&retailtradeRealestate,renting&businessPublicadministration(Public Sector)Education(Public Sector)Health&socialwork(Public Sector)Allothersectors
Employment in business services, construction has risen5.18Notwithstanding their current importance in terms of
employment, recent years have seen the proportion of
employment in the manufacturing and public administrationsectors decline in the rural North East. At the same time,
three sectors have posted significant increases in
employment: real estate, renting and business activities;
construction; and financial intermediation (although the latter
still employs less than 2% of the rural workforce). [page 39]
Agriculture a small sector...5.19Agricultural employment is based on 2001 Census figures
because of gaps in ABI calculations for this sector. As with
ABI, the data is available at LSOA level. The figures also
include employment within the forestry, hunting and fishing
sub-sectors.
5.20Agriculture is a small employment sector in the North East.Excluding London, the region has the lowest number of
people employed in agriculture, forestry and fishing of all
English regions: some 12,000 people. Of this total, 7,500
work in rural areas (the second lowest of all rural regions). It
is not clear from the data why more than one third of sectoral
employment should be located in urban areas. [page 44]
5.21Only in Northumberland is the agriculture, forestry andfishing sector worth more than 1% of total GVA (3.3% in
2006). The GVA contribution from this sector across the
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as Alnwick, Morpeth and Hexham in Northumberland. More
generally, employment levels are quite low. With the former
district authorities in Northumberland and County Durham
being replaced by county-wide Unitary Authorities from
2009, there is perhaps a risk of reduced public
administration employment away from the main council
headquarters (Morpeth and Durham) as employment and
services are rationalised. [page 65]
Other services - on the decline?5.42This sector (Other community, social and personal services)
employs around 6,500 people in the rural North East 4.5%
of the total rural workforce which is similar in proportion to
the region as a whole (4.8%). The sector has seen quite a
dramatic fall in employment between 2003 and 2007 of
19.7% (a 12.5% decline across the North East). The reasons
for this are not clear. [page 67]
5.43There is quite a broad distribution of the sectors ruralemployment. The Uplands of Northumberland appears to be
a particular concentration, as are parts of Easington and
Sedgefield. [page 68]
5.44The decline in sector employment over time has also beenbroadly distributed,. [page 68]
Enterprise and business characteristicsBusiness density higher in rural areas...
5.45Rural business density (measured here as workplace units per1,000 of working age population) is higher in the rural areas
of all English regions outside of London than in their
respective regions as a whole. [page 13]
...lowest in the North East5.46Notwithstanding this general trend, the North East has the
lowest business density numbers of all regions, both rurally
and regionally. [page 14]
5.47Higher levels of rural business density appear in or aroundthe edges of rural towns, such as Hexham, Alnwick and
Wooler, or around the conurbations. They are likely to reflect
the locations of business concentrations, such as industrial
estates or business parks. [page 13]
Less business churn in rural areas as a whole...5.48Rural districts in the North East have lower VAT registration
and deregistration rates (as a percentage of the total business
stock) than the region and England as a whole. [page 27]
...but business growth is evident5.49Some rural districts, especially in County Durham, have seen
strong growth in their business stock to 2007, exceeding
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i ll th i f th ki
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Demographics: especially the size of the working agepopulation, which is of particular significance to GVA
per capita performance
The picture is incomplete...5.69The picture of business activity in the rural North East is likely
to be incomplete at this stage of the research. Rural areas
tend to have higher numbers of businesses below the VAT
threshold. These do not appear on official statistics, which
consequently will underplay the extent and volume of
business growth and/or decline. There may also be a link
with the higher incidence of micro businesses in rural areas,
although this cannot be confirmed through the data. These
issues will be explored through regional consultations.
Figure 11: Ward level travel to work patterns, 2001 (NERIP)
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6 EMPLOYMENT AND SKILLSEmployment flowsA growing trend of long distance commuting...
6.1 Research undertaken by NERIP from 2004 to 2006 highlightsthe significant rise of inter-district travel flows between
1991 and 2001 (based on Census data), as a function of
increased economic activity in urban areas, and peoples
willingness to commute further. The largest employment
centres in the region (predominantly located in its
conurbations) draw a larger than average proportion of their
workforce from further afield. For Tyne and Wear, this means
rural Northumberland, especially to the north, and flows to
Durham come from its surrounding districts.
6.2
Figure 11 shows commuting patterns at ward level, based onthe 2001 Census. Grey represents urban ward according to
the ONS 2004 classification; rural is in green. The light green
wards represent the rural fringes, where 50% or more
commuters travel to urban areas to work. In the dark green
wards, fewer than 50% travel to urban areas. This is a
simplified and striking representation of the relationship
between the urban/City Region cores of the North East and
its rural commuting residents.
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districts), and these rural districts have some of the lowest employment rate of nearly 17%, while the three former
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rates of Income Support in the region. [page 77]
Employment patternsHome working is more common in rural areas
6.9 Rural areas tend to have higher rates of home working. Allthe rural regions of England exceed their respective regional
averages for home working. The highest levels are seen in
the rural South West, where 16% of the workforce worked at
home in 2001, compared to 11% across that region as a
whole. At 13% (regional total 8%), the North East has the
lowest incidence of rural home working of any rural region in
England. [page 78]
6.10The proportion of home working in rural areas exceeded 14%of the workforce in 2001 in Teesdale, Berwick-upon-Tweed,
Tynedale and Alnwick a significant proportion of the total
workforce. [page 76]
High rates of rural self employment relative to the region...6.11While rates of self employment across the North East are
lower than the England average, rural districts show the
highest levels in the region, averaging more than 7% of the
working age population and reflecting the importance of self
employment in rural economies. [page 80]
6.12This relatively strong performance masks high variationbetween rural districts. Berwick-upon-Tweed has a self
districts (Wansbeck, Redcar and Cleveland, and Durham) have
rates of less than 5%. [page 81]
...but low in comparison to other rural regions6.13Notwithstanding the variance within the North East, the rural
region demonstrates the lowest incidence of self-
employment of any rural region (7%, compared to 10% for
Yorkshire and the Humber, the next nearest rural region).
[page 82]
Pockets of high rates of part time working6.14Around 23% of people in employment work part time, both in
the region and England as a whole. Three rural districts
display significantly higher rates of part time working: in
excess of 25% of those employed in Teesdale, Sedgefield,
Berwick-upon-Tweed and Tynedale work part time.
Conversely, other rural districts have lower than average part
time rates, notably Easington, Wansbeck, Castle Morpeth and
Blyth Valley. [page 84]
Education and skillsStrong GCSE performance...
6.15Regional GCSE performance has exceeded the Englishaverage over the last three years for which data is available.
Seven rural districts outperform the regional average, in
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Rural differences in employment patterns... A complex picture of skills performance
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6.27The rural North East has higher levels of home working, selfemployment and part time working compared to the region
as a whole. There may be important linkages here between
rural employment patterns and issues of access and location.
6.28Lack of access to opportunities may breed a self-sufficiencythat exhibits itself through home working or self
employment, for example. More needs to be known about
the character of rural home working, which can encompass a
diverse range of occupations including farmers, artists and
professionals. Likewise, self employment may just as easily
be an agricultural contractor as an accountant.
6.29Part time working is less likely to be linked to longer distancecommuting as the wages earned are unlikely to make the
journeys worthwhile or cost effective.
...but at much lower rates than rural England6.30What is perhaps surprising from the evidence is that for two
of the three common characteristics of rural employment
higher rates of home working and self employment the
North East ranks bottom among all of Englands rural
regions. The region as a whole underperforms here relativeto other regions and England, but the differential between
rural and other areas is less pronounced than in England as a
whole. The reasons for this are not clear, and will be
explored through the consultations.
6.31The pattern of education and skills performance across ruralareas is a complex one. Teesdale, Derwentside, Alnwick and
Wansbeck, for example, show strong GCSE and Level 2+
performance, but this is not translated into significantly
higher Level 4+ performance. This may be linked to
availability of higher knowledge intensive businesses, and the
need to improve skills beyond Level 2. On the other hand,
Castle Morpeth has some of the highest proportion of Level
4+ qualified people, but is performing comparatively badly
on GCSE scores. This may be highlighting the inconsistencies
within the population around Morpeth an affluent,
professional commuter base and a local, non-commuting
community with wider deprivation issues. Availability of
Further and Higher Education places of learning may also be
a factor in rural areas where provision is likely to be limited
by distance or scale.
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be seen in rural towns such as, Alnwick, Amble, Barnard
Castle, Berwick on Tweed Hexham and Morpeth. [page 148]
towns where levels of deprivation seem to be on the
periphery.
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Castle, Berwick on Tweed Hexham and Morpeth. [page 148]
Deprivation7.12The Index of Multiple Deprivation (IMD) is collated by the
Department for Communities and Local Government. It
combines a number of indicators, chosen to cover a range of
economic, social and housing issues, into a single deprivation
score for each LSOA in England. This allows each area to be
ranked relative to one another according to their level of
deprivation.
A deprived region urban and rural7.13The North East is statistically one of the most deprived
regions in England, as measured by the IMD. Mapping the
overall IMD result demonstrates how the cumulative impact
of deprivation hits the urban areas of the region
comparatively harder than the rural areas, although there is
significant variation at local level (Figure 12). [page 106]
7.14Whilst the regions urban areas are generally the mostdeprived, it is important to note that levels of overall
deprivation are higher in the upland areas than in the
accessible rural areas closer to the conurbations. High levels
of deprivation are also evident in the former coalfields and
along the coast from Wansbeck all the way to Redcar. Whilst
levels of deprivation appear to be highest in the centre of
urban areas, this is not the case in the more accessible rural
periphery.
7.15All rural regions of England are less deprived than their urbancounterparts, using the IMD index. However, the levels of
rural deprivation in the North East are considerably higher
than in any other region: 31% of the North Easts rural
population live in the 30% most deprived localities, compared
to the next highest Yorkshire and the Humber at 10%.
[page 108]
Figure 12: Index of Multiple Deprivation 2007 (NERIP) Patterns of income, employment and skills deprivation7 16 Rural income deprivation shows a similar pattern to overall
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7.16Rural income deprivation shows a similar pattern to overallIMD deprivation, with the highest incidence in rural areas
amongst the former coalfields (especially Easington and
Wansbeck), along the coast in the far north and to the east of
Redcar. More generally the upland areas have higher levels
of income deprivation than the accessible rural areas, with
income deprivation increasing in the more western areas.
[page 109]
7.17Rural employment deprivation is heaviest along the coast,with extremes in the former coalfields around Ashington and
Blyth to the north of Newcastle and from Seaham, through
Easington and along to Hartlepool further south. There are
high levels in the rural area to the south of Redcar, and in a
broad ring around Durham City (extending from the coast to
the uplands). Rural towns are also centres of employment
deprivation, including Haltwhistle, Barnard Castle, Alnwick
and Morpeth. [page 110]
7.18Rural education and skills deprivation shows a strongcorrelation with the patterns of employment and income
deprivation, especially along the coast, through the
coalfields, and around Durham City and Redcar. There are
also spikes of deprivation around towns such as Amble,
Alnwick, Barnard Castle, Haltwhistle and Wooler which are
consistent with those found for employment and income
deprivation. There does not appear to be a correlation with
the employment deprivation surrounding Morpeth. There
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based in these areas, and is also reflected in their much
higher consumption of fuel. [pages 154 and 156]
sensitive environmental sites may limit economic
development.
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8.13There is no good indicator to use to make comparisons ofnon-CO2 greenhouse gas emissions, but it is likely that
farms produce higher levels of other greenhouse gases than
many other industries.
8.14The North East has the lowest energy consumption of anyregion, which is likely to reflect its smaller population. The
highest levels of petroleum use tend to be in rural districts is
in Tynedale, Sedgefield, Durham and Redcar & Cleveland.
Other relatively high consumers include Easington and
Berwick upon Tweed. [pages 158 and 159]
ConclusionsHigh quality rural environment as an asset....
8.15The quality of the North East rural environment is asignificant asset, as demonstrated by visitor economy figures,
and the sizeable employment volumes in the rural hospitality
sector. It is also likely to be a major influencing factor for
people relocating to the region, even if they live in the urban
areas.
...and a constraint8.16The quality and type of environment may also be something
of a constraint. Land quality limits the growing of high value
crops, while the extent of the National Park and other
8.17 It is interesting to note that despite the apparent suitability ofthe regions Uplands for the generation of renewable energy,
mapping by the British Wind Energy Association (2008)3
shows that only one of the seven operational wind farms is in
any way related to the Uplands. The remainder are located
along the coast (south of Amble) and to the south of
Gateshead.
The environmental impact of rural living8.18Residence in a rural area involves higher energy use for
domestic fuel and transport. However consumption tends to
be related more strongly to income levels, car ownership and
the size and type of house than rurality per se. Living in a
rural area does tend to mean a greater need for travel, and
houses in rural areas are more likely to be hard to heat (dueto construction and lack of access to mains gas), but higher
domestic carbon emissions are also linked to higher
consumption resulting from greater disposable income.
3 State of the Countryside, Commission for Rural Communities, 2008
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this. There is little commuting beyond the district, and it
appears to have a relatively self-sufficient, but low wage
economy, with high levels of self employment and home
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eco o y, t g e e s o se e p oy e t a d o e
working. The respective districts for Haltwhistle and Barnard
Castle also show high levels of self employment and homeworking. These may be linked to the patterns of employment
in the agricultural sector, but this is not clear from the data.
9.21These three towns also suffer from deprivation at levelshigher than their rural peripheries, with the exception of
access to services. For their rural hinterlands, these towns
are clearly important points for access to services, as well aseconomic opportunities.
10 SWOT ANALYSIS10.1 In this section, we highlight a small number of key strengths,
Greater incidence of enterprise activity and betterbusiness survival rates
Stronger local levels of economic activity in Alnwick
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g g y g
weaknesses, opportunities, and threats (SWOT) from the
evidence base. These will help to shape discussions in thefollowing phases of our research with key partners and
stakeholders from across the region.
StrengthsAspects of strong rural economic performance Productivity in Northumberland exceeds the regional
average, both as a whole and in the business and
financial services sectors. Both rural counties exceed
regional productivity in construction
Economic activity and employment rates are higher inrural districts than for the region as a whole
The robustness of remote rural communities, whereisolation seems to breed economic self-reliance,
characterised by self-employment, part time work and
less reliance on state benefits
Rural areas well-connected to the City Region core Prosperous rural areas with good connections to the
opportunities available in the conurbations
An important source of senior and professional labourto the regional economy
Stronger local levels of economic activity in Alnwick,Morpeth and Hexham
A high quality rural environment Very high levels of quality environment, including the
Heritage Coast; Northumberland National Park; and the
North Pennines AONB. These are significant attractions
for visitors and residents alike
WeaknessesThe declining trend in rural productivity performance The existence of low wage rural economies, more
distant from the major urban areas, which lack the scale
to grow and develop Limited evidence of enterprise activity of a scale
sufficient to impact noticeably on regional economic
performance
Fewer people in rural areas with high levelqualifications, and the local employment opportunities
to suit their skills
Lack of access to opportunity Those in the more sparse and remote rural areas do not
have access to the same opportunities as those who live
Exploitation of new technologies Rural businesses could make more of the new
technological developments on offer to grow and
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a e access to t e sa e oppo tu t es as t ose o e
closer to urban areas
Some areas, while close to the urban centres, do notseem to exploit the opportunities that this affords. The
reasons for this are not clear
Deprivation within and around rural towns Deprivation tends to be clustered around rural towns,
even the more prosperous ones
OpportunitiesSector strengths for the future Manufacturing remains a major rural employer. With a
weak Pound, the sector might be able to exploit thehealthy exchange rate to boost sales and exports, as
and when the country moves out of recession
The tourism sector is also an important rural employer.The general economic situation may persuade Britons to
take holidays in the UK, as might the weak Pound. The
latter may also attract foreign tourists
tec o og ca de e op e ts o o e to g o a d
develop
New employment patterns The nature of rural home working has yet to be
explored in this research. However, given the increase
of e-business and teleworking and employment
flexibility in recent years, there should be more
opportunities for home working. With a high qualityenvironment on offer for those who locate to the rural
region, this could be a real selling point for rural
economies
ThreatsAn older population The regions rural areas are seeing a marked increase in
the population of a pensionable age, and a decrease in
the working age population, with a consequent impact
on the size of the local rural labour market
Housing affordability and employment opportunities arelikely to be driving young people from rural areas into
the conurbations, a pattern witnessed in other parts of
the country
Employment diversification The rural region is reliant for its employment on a few
large sectors, such as construction and manufacturing
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and therefore potentially more at risk from economic
shocks. The public sector is also a major employer.Given the likely future squeeze on public sector
spending resulting from the need to spend public
money now in the recession, employment levels (and
investment) may be affected
Development controls The rural North East is a high quality environment, and
should be protected. But development controls could
have a negative impact on the ability of the rural region
to develop economically
11 ANNEX A INDICATOR LISTDataset Measure Source
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Headline GVA increase in GVA over time ONS
Productivity GVA per employee by sector ONS/ABI
GVA Per Capita workplace GVA by resident population ONS
GVA Distribution by Sector per cent by sector: workplace base ONS
GVA change by Sector change over time ONS
Competitiveness Index Index by NE district Huggins Associates
Competitiveness Index Change in ranking over time Huggins Associates
Business Density rates per 1,000 population ABI
Business Stock Proportion by employee size band ABIBusiness Survival Rates Months survival rate DBERR/Nomis
VAT Registration/Deregistration Rates Per Cent Rates per Stock DBERR/Nomis
Business sectors VAT registered business stock by sector ABI
Growth in business stock VAT registered business stock change over time Nomis
Business formation rates VAT registrations per 10,000 population Nomis, ONS
Floorspace volume Area: m2- by type Neighbourhood Statistics
Floorspace value : m2- by type Neighbourhood Statistics
Knowledge Intensive Employment % of employment base in KIBs ABI
Occupation Profiles % of employment by broad occupation ONS
Broadband connectivity Availability and take up One NE
Business turnover Annual turnover s BERR
Industry sector employment 17 SIC categories, 2003-07 ABI
Industry sector employment comparisons LQ - rural: region: England ABIResidence vs workplace employment Difference ABI and APS
Employment - Agriculture, Forestry and Fishing % of workforce 2001 ONS
Farm type as proportion of all farms 2007 Defra
Farm size as proportion of all farms 2008 Defra
Farm tenancy as proportion of all farms 2009 Defra
Dataset Measure SourceFarm Business Income 2003/04 - 2007/08 Defra
Net Farm Income per 2006 sample farm Defra
Disaggregated emplo ment across 8 sectors 2007 proportions and change o er time 2003 07 ABI
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Disaggregated employment across 8 sectors 2007 proportions and change over time 2003-07 ABI
Disaggregated employment within manufacturing 2007 proportion of sector ABI
Disaggregated employment within public admin 2007 proportion of sector ABI
Living and working in same district Proportion of residents 2001 ONS
Net commuter flows Net flows in numbers, 2001 ONS
Distance travelled to work By rurality, 2001 ONS
Mode of transport 2001 ONS
Car ownership Proportion without a car, 2001 ONS
Self employment Proportion of working age, 2004-08 APSHome working Proportion of workforce, 2001 ONS
Employment and gender Male and female, 2004-08 APS
Part time working Proportion of employed, 2007/08 APS
Unskilled No qualifications APS
Education % of popn with GCSE 5 A-C APS
Level 2+ Qualifications % of WA popn with Level 2+ Qualifications APS
Level 4+ Qualifications % of WA population with Level 4+ Qualifications APS
Training Rates % of WA population receiving training APS
Population Mid-year 2007 estimates ONS
Population Distribution per cent by age-band ONS
Population Distribution change by age bands: working and pensionable age ONS
Internal migration Inflow/outflow of migrants ONS
Overall deprivation IMD index 2007 CLG
20% most deprived IMD index 2007 CLG
Income deprivation IMD index 2007 CLG
Employment deprivation IMD index 2007 CLG
Health deprivation and disability IMD index 2007 CLG
Education, skills and training deprivation IMD index 2007 CLG
Dataset Measure SourceBarriers to Housing and Services (IMD) IMD index 2007 CLG
Crime deprivation IMD index 2007 CLG
Living environment (IMD) IMD index 2008 CLG
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Living environment (IMD) IMD index 2008 CLG
Access to Services Distance to services CRC
House Prices Average prices and change Land Registry
Housing Affordability Lower Quartile House Price/Income Ratios DCLG
Housing Affordability Median house price/income ratios DCLG
Housing Start/Completion Rates: 2001/02-2007/08 Change over time DCLG
Household type Household makeup ONS
Barriers to Housing (owner occupation & homelessness) average scores: housing sub-domain values CLG
FT Male & Female Wages % difference in average median gross weekly wages: ASHEFT Workplace & Residence Wages average median gross weekly wages: ASHE
Median Taxpayer Income 01/02 06/07 06/07 and change over time Revenue & Customs
Median Taxpayer Income 2006/07 Self Employed; Employed and Pensioner Revenue & Customs
Household income Mean household income Inland Revenue
Economic activity rate 2004-08 APS
Employment rate 2004-08 APS
Unemployment rate 2004-08 APS
Economic inactivity rate 2004-08 APS
Incapacity Benefit Claimants 2008 and 4 year average DWP
Incapacity Benefit Claimants Long term (2+ years) DWP
Income Support Claimants 2008 totals DWP
Working Age Benefit Claimants 2008 DWP/Nomis
Job Seekers Allowance Claimants Current and change in year, plus by gender DWP
Ecological Footprint footprint estimates WWF
End User Carbon Emissions tonnes & per cent distribution: Defra
Final Energy Consumption GWh & Per Cent Distribution: Defra
Non-Gas, Electricity, Road Transport Fuel Use tonnes 000 oil equivalent & per cent distribution: DBERR
Non-Gas, Electricity, Road Transport Fuel Use distribution by industry/commerce & domestic DBERR
Dataset Measure SourceSSSI Status % distribution across areas by type Defra
Tourism: Volume & Spend 2005 Visits: Million, Spend: bn & Per Visit STEAM
River Water Quality Mean Per Cent: Defra
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River Water Quality Mean Per Cent: Defra
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