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7.1.2 Secondary Data Results
7.1.2 SECONDARY DATA RESULTS HOUSE PRICE INCREASE IN MANCHESTER LOCATIONS WITH TRAM STOPS (2000-2020)
Median Average
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Rochdale Milnrow Shaw & Crompton Oldham Chadderton Moston Bury Radclife Whitefield Prestwich Crumpsall Market Street Manchester Airport Shadowmoss Martinscroft Baguley Wythenshawer Northern Moor Didsbury Withington Chorlton Eccles Media City Salford Quays Pomona Ashton under Lyne Audenshaw Droylsden New Islington Piccadilly St Peters Square Deansgate Cornbrook Old Traford Stretford Sale Timperley Altrincham
183.5% 178.71%
151.9% 151.89% 156.68% 156.11% 156.13%
183.54% 168.07% 183.53% 183.5% 182.51% 213.93%
177.53% 183.51% 188.76% 193.98% 183.5% 183.52% 183.53% 183.49% 183.5% 183.49% 183.52% 204.73% 181.93% 222.12% 156.62% 183.52% 183.51% 172.85% 177.57% 182.05% 178.32% 185.62% 183.51% 183.51% 175.23% 151.4% 151.39%
Figure 25: (Author’s own) Data from (Zoopla, 2020)
The aim of figures 25 to 26 was to investigate whether the proximity of a tram
route impacts house prices in Manchester and Sheffield, and then compare the
results. Property website ‘Zoopla’ was used to collect this data. Data was only
available for the past 20 years and could not be accessed from 1992 and 1994
when the Manchester Metrolink and Sheffield Supertram were first introduced. HOUSE PRICE INCREASE IN MANCHESTER LOCATIONS WITHOUT TRAM STOPS (2000-2020)
Median Average
Pendleton Oxford Road Heywood Leigh Atherton Tyldesley Stalybridge Hyde Bredbury Wilmslow Handforth Bramall Partington Carrington Cheadle Urmston Bolton Wigan Middleton Stockport Irlam
Figure 26: (Authors own) Data from (Zoopla, 2020)
175.76% 171.89%
161.44% 177.55% 148.54% 166.75% 183.53% 183.52% 175.76% 163.21% 188.66% 159.94% 159.94% 165.85% 183.53% 183.5% 149.32% 183.49% 162.76% 156.62% 183.52% 188.64% 183.52%
Figures 25 and 26 show that areas of Manchester served by a tram station have
seen a larger increase in house price between 2000 and 2020. These areas
have a range of 151.4% - 222.12% and an average increase of 178.21%. Areas
which are not served by the Metrolink have a range of 148.54% - 188.66% and
an average increase of 171.89%. This means that house prices in areas of
Manchester that are served by a tram stop rose by 6.82% more than those that
are not.
HOUSE PRICE INCREASE IN SHEFFIELD LOCATIONS WITH TRAM STOPS (2000-2020) Median 173.9% Average 170.4%
Hollinsend Halfway Westfield Waterthrope Crystal Peaks Birley Herdings Gleadless Manor Top Arbourthorne Rotherham Meadowhall Carbrook Atterclife West Street Shalesmoor Hillsborough Middlewood
151.62% 167.43% 167.47% 167.43% 167.41%
161.06%
163.79% 167.43% 173.93%
173.89% 173.91% 173.93% 173.93% 177.05%
176.37% 176.37% 176.38%
177.78%
Figure 27: (Authors own) Data from (Zoopla, 2020)
Figures 27 and 28 show that areas of Sheffield which are not serviced by the
Supertram, have seen a larger increase in house prices, differing to the results
collected for Manchester. Areas which do have tram stations have seen an
increase range of 151.62% - 177.78% and an average increase of 170.4%.
Areas which do not have tram stations have a higher range of 163.76% -
182.49% and an average of 172.73%. This means that areas in Sheffield which
are not served by a tram stop saw their house prices increase by 2.33% more
than those that are close to the network.
HOUSE PRICE INCREASE IN SHEFFIELD LOCATIONS WITHOUT TRAM STOPS (2000-2020) Median 174.43% Average 172.73%
Shireclife Shiregreen Ecclesfield Parsons Cross Neepsend Kelham Island Bramall Lane London Road Pitsmoor Greystones Meersbrook Ranmoor Endclife Whirlow Burngreave Heeley Ecclesall Broomhall Broomhill Crookes Meadowhead Woodseats Totley Dore Tinsley Millhouses Sharrow
172.07% 172.09% 167.42% 177.81%
163.79% 163.76% 177.01% 177.01%
163.8% 176.85% 182.49%
174.42% 174.42% 176.83% 163.79%
177.03% 176.56% 174.44% 171.38% 174.46% 182.47% 182.48%
167.4% 167.4% 167.49% 167.41% 176.88%
Figure 28: (Authors own) Data from (Zoopla, 2020)
EMPLOYMENT/EARNINGS STATISTICS
16% CHANGE IN UNEMPLOYMENT RATES ACROSS MANCHESTER (1996-2019)
Bolton Bury Manchester Oldham Rochdale
Salford Stockport Tameside Traford Wigan
12%
8%
4%
0% 1996/97 1997/98 1998/99 1999/2000 2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 2010/11 2011/12 2012/13 2013/14 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20
Figure 29: (Author’s own) Data from (Nomis, 2020)
The aim of collecting unemployment and average earning statistics is to
determine whether the tram networks have had an impact on these figures in
Manchester and Sheffield, since they were introduced. Figure 29 shows all
Manchester boroughs to have followed a similar pattern in levels of
unemployment between 1996 and 2019. No clear distinction can be seen
between boroughs which do and do not have tram routes passing through
them. However, the city of Manchester has seen the largest decrease. This may
be due to all routes terminating in the city centre, meaning that the city centre
is easily accessible from all areas which are serviced by the tram. Figure 30
shows that between 1996 and 2019 Sheffield and Rotherham have followed
similar levels of unemployment rates to Manchester.
12%
9% CHANGE IN UNEMPLOYMENT RATES ACROSS SHEFFIELD (1996-2019) Rotherham Shefield
6%
3%
0% 1996/97 1997/98 1998/99 1999/2000 2000/01 2001/02 2002/03 2003/04 2004/05 2005/06 2006/07 2007/08 2008/09 2009/10 2010/11 2011/12 2012/13 2013/14 2014/15 2015/16 2016/17 2017/18 2018/19 2019/20
Figure 30: (Author’s own) Data from (Nomis, 2020)
Average Monthly Earnings (after tax) Manchester
£2108.12
Sheffield
Table 3: (Author’s own) Data from (Numbeo, 2020b) £1692.08
The intention of collecting average earnings for Manchester, Sheffield and
Leeds was to determine the change over time from before the Metrolink and
Supertram were implemented to the present day, so that the proportional
changes could be compared. However, only present day data was available.
Table 3 shows that Manchester’s average earnings is considerably higher than
Sheffield’s, +24.59%. The cost of living in Manchester is also higher than
Sheffield and Leeds, with an individual requiring £3113.64 to maintain the
same standard of life as someone with £2803.00 in Sheffield and £2800.00 in
Leeds (Numbeo, 2020b). One factor which could determine this variation in
average earnings could be that the Manchester tram enables easy commuting
access to higher paid jobs in the city centre. However, without being able to
compare the proportional changes over time, it is difficult to determine the
economic impact that constructing trams has had on this variable.
VACANT RETAIL UNIT STATISTICS
All ten boroughs in Manchester, alongside Sheffield and Rotherham, were
contacted to request empty retail unit statistics, with the aim of investigating
whether this has changed since the trams opened, and to compare areas not
serviced by the tram with areas which are. Of the twelve local authorities
contacted, seven responded. Of these seven, only one borough in Greater
Manchester, Trafford, replied with any statistics. Whilst this does not allow for a
comparison of economic impacts between Manchester and Sheffield,
differences can be seen within the borough of Trafford where towns do, or do
not, have the Metrolink passing through.
30 Percentage of Retail Units Vacant in Trafford Towns (1997-2008) Altrincham Sale Urmston Stretford
24
18
12
6
0 1997 1998 1999 2000 2001 2002 2003 2004
Figure 31: (Author’s own) Data from (Pannell, 2020) 2005 2006 2007 2008
Unfortunately, the data from Trafford does not cover the the dates that the
Manchester Metrolink has been operational (1992-present), however it does
provide ten years of statistics which can be analysed. Furthermore, the
Metrolink has experienced significant growth since 2010, so this data does not
show whether new phases of construction will have impacted these towns. It
should be noted that Altrincham, Sale and Stretford are serviced by trams and
Urmston is not.
The data demonstrates that all four towns have seen changes in their vacant
retail unit percentages. During the period the data was collected the highest
vacant retail unit percentage was shown by Urmston at 25.61% and the lowest
was Sale at 5.11%.
17 Average percentage of vacant retail units (1997-2008)
20 Increase from lowest to highest year of vacant retail units (1997-2008)
12.75 15
8.5 10
4.25 5
0
Altrincham Sale Stretford Urmston
Figure 32: (Author’s own) Data from (Pannell, 2020) 0
Altrincham Sale Stretford Urmston
Figure 33: (Author’s own) Data from (Pannell, 2020)
Altrincham has the highest average percentage at approximately 16%, whilst
Sale has the lowest of the four towns, at 8.7%. Stretford and Urmston both
have an average of approximately 13%. However, whilst Altrincham has the
highest average percentage, it can be seen in figure 31 that Altrincham is
consistently higher throughout the data. Therefore, it cannot be concluded that
analysing the averages shows the economic impact that the network has had
on these towns.
Looking at the change in the percentages within the ten year set of data is a
better indicator of impact. Figure 33 shows that Urmston has seen the biggest
increase between the lowest and highest years of vacant retail units, rising by
18.81%. However, Altrincham, Sale and Stretford all have much lower increases
at 8.81%, 7.96% and 11.6% respectively. Whilst it is expected that the
percentage will increase due to the shift to online shopping, the percentage in
Urmston is much higher than the remaining three towns which are serviced by
the tram network. Therefore, from this small data set, it can be said that the
construction of the Manchester Metrolink does have a positive impact on the
economy of areas it serves as the increase in vacant retail units is lower in areas
where they are connected by the tram network.
TRAFFIC LEVEL STATISTICS
When searching for footfall statistics to illustrate an increase or decrease over
time, the figures were not available for both cities for the same period and
therefore, no comparison could be made. Therefore, as stated in the
contingency plan, another set of variables was researched. The traffic index and
CO2 emission index were located for Manchester, Sheffield and Leeds and
were compared alongside population sizes to determine whether the tram
networks alleviated traffic congestion and therefore lessen economic costs.
“Traffic Index is a composite index of time consumed in traffic due to job
commute, estimation of time consumption dissatisfaction, CO 2 consumption
estimation in traffic and overall inefficiencies in the traffic system”(Numbeo,
2020).
Trafic Index
Trafic Index (Minutes)
CO2 Emission Index
Population
Shefield
90.29
25.20 Manchester
161.81
40.10 Diference
71.52
14.90 % Diference
79.21
59.13
2680.27
1,569,000 4618.09
2,835,690 1937.82
1,266,690 72.30
80.73
Table 4 (Author’s own) Data from (Numbeo, 2020)
Table 4 shows whilst the population in Manchester is 80.73% higher than
Sheffield, there is also a similar percentage increase in traffic index at 79.21%
and CO2 emissions at 72.3%. This shows that both cities are relatively in line in
terms of population size and traffic/CO2 emissions per individual. The CO2
emission index is slightly lower per individual in Manchester, potentially due to
the larger mass transit system. In section 7.2, these variables are compared
with Leeds to determine whether a tram network would reduce traffic index or
CO2 emission index. It can be seen from table 6 and 7 in section 7.2 that
Manchester and Sheffield’s CO2 emissions are significantly lower than Leeds. It
can be presumed that this is as a result of people using the mass transport
system available, therefore reducing the economic burden of emissions in
Manchester and Sheffield.