| Exam Board | OCR |
|---|---|
| Module | PURE |
| Marks | 6 |
| Paper | Download PDF ↗ |
| Topic | Data representation |
| Type | Misinterpretation of data in graphs |
| Difficulty | Easy -1.8 This is a straightforward data reading question requiring only identification of the maximum value in a single column (2.03% for South Tyneside, code E08000023, which is a Metropolitan borough) and matching the first two digits to the given key. No calculation, interpretation, or multi-step reasoning required—purely extracting information from a table. |
| Spec | 2.02a Interpret single variable data: tables and diagrams |
| Geography code | Local authority | Work mainly at or from home | Underground, metro, light rail or tram | Bus, minibus or coach | Driving a car or van | Passenger in a car or van | On foot |
| E06000047 | County Durham | 0.74\% | 0.05\% | -1.50\% | 4.58\% | -2.99\% | -0.97\% |
| E06000005 | Darlington | 0.26\% | -0.01\% | -3.25\% | 3.06\% | -1.28\% | 0.99\% |
| E08000020 | Gateshead | -0.01\% | -0.01\% | -2.28\% | 4.62\% | -2.35\% | -0.18\% |
| E06000001 | Hartlepool | 0.03\% | -0.04\% | -1.62\% | 4.80\% | -2.38\% | -0.26\% |
| E06000002 | Middlesbrough | -0.34\% | -0.01\% | -2.32\% | 2.19\% | -1.33\% | 0.67\% |
| E08000021 | Newcastle upon Tyne | 0.10\% | -0.23\% | -0.67\% | -0.48\% | -1.51\% | 1.75\% |
| E08000022 | North Tyneside | 0.05\% | 0.54\% | -1.18\% | 3.30\% | -2.21\% | -0.60\% |
| E06000048 | Northumberland | 1.39\% | -0.08\% | -0.95\% | 3.50\% | -2.37\% | -1.44\% |
| E06000003 | Redcar and Cleveland | -0.02\% | -0.01\% | -2.09\% | 4.20\% | -2.06\% | -0.49\% |
| E08000023 | South Tyneside | -0.36\% | 2.03\% | -3.05\% | 4.50\% | -2.41\% | -0.51\% |
| E06000004 | Stockton-on-Tees | 0.14\% | 0.03\% | -2.02\% | 3.52\% | -2.01\% | -0.15\% |
| E08000024 | Sunderland | 0.17\% | 1.48\% | -3.11\% | 4.89\% | -2.21\% | -0.52\% |
| Increase in percentage of employees travelling to work by various methods | |||||||
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| Metropolitan (borough) | B1 [1] | 2.2a: Allow 08. Ignore all else. |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| Increase (in most LAs) in % driving | B1 | 2.2b: Any 2 of these (not "metro" without "bus" but allow "public transport") |
| Decrease everywhere in % passengers | B1 | 2.2b: Allow "proportion", condone "number", instead of % |
| Decrease in % bus (& metro) | [2] | Ignore all else |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| Those in age range 55–65 in 2001 will mostly not be included in 2011; replaced by those in range 10–20 in 2001; Hence 35 years' worth out of 45 | M1 | 2.4: Both 35 and 45 must be seen or implied |
| \(77.8\%\) (3 sf) or \(\approx 78\%\) | A1 [2] | 2.1: Allow \(77.7\%\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| Older people using public transport or walking have been replaced by younger people in cars. Or young people prefer to drive own car (in 2011 or now); More young people learn to drive (in 2011 or now); Cars have become cheaper, or more popular | B1 [1] | 2.2b: oe Any plausible explanation consistent with answer to (c); NOT any reference to an ageing population; Ignore all else |
## Question 10(a):
| Answer | Marks | Guidance |
|--------|-------|----------|
| Metropolitan (borough) | B1 [1] | 2.2a: Allow 08. Ignore all else. |
---
## Question 10(b):
| Answer | Marks | Guidance |
|--------|-------|----------|
| Increase (in most LAs) in % driving | B1 | 2.2b: Any 2 of these (not "metro" without "bus" but allow "public transport") |
| Decrease everywhere in % passengers | B1 | 2.2b: Allow "proportion", condone "number", instead of % |
| Decrease in % bus (& metro) | [2] | Ignore all else |
---
## Question 10(c):
| Answer | Marks | Guidance |
|--------|-------|----------|
| Those in age range 55–65 in 2001 will mostly not be included in 2011; replaced by those in range 10–20 in 2001; Hence 35 years' worth out of 45 | M1 | 2.4: Both 35 and 45 must be seen or implied |
| $77.8\%$ (3 sf) or $\approx 78\%$ | A1 [2] | 2.1: Allow $77.7\%$ |
---
## Question 10(d):
| Answer | Marks | Guidance |
|--------|-------|----------|
| Older people using public transport or walking have been replaced by younger people in cars. Or young people prefer to drive own car (in 2011 or now); More young people learn to drive (in 2011 or now); Cars have become cheaper, or more popular | B1 [1] | 2.2b: oe Any plausible explanation consistent with answer to (c); NOT any reference to an ageing population; Ignore all else |
---10 The table shows the increases, between 2001 and 2011, in the percentages of employees travelling to work by various methods, in the Local Authorities (LAs) in the North East region of the UK.
\begin{center}
\begin{tabular}{|l|l|l|l|l|l|l|l|}
\hline
Geography code & Local authority & Work mainly at or from home & Underground, metro, light rail or tram & Bus, minibus or coach & Driving a car or van & Passenger in a car or van & On foot \\
\hline
E06000047 & County Durham & 0.74\% & 0.05\% & -1.50\% & 4.58\% & -2.99\% & -0.97\% \\
\hline
E06000005 & Darlington & 0.26\% & -0.01\% & -3.25\% & 3.06\% & -1.28\% & 0.99\% \\
\hline
E08000020 & Gateshead & -0.01\% & -0.01\% & -2.28\% & 4.62\% & -2.35\% & -0.18\% \\
\hline
E06000001 & Hartlepool & 0.03\% & -0.04\% & -1.62\% & 4.80\% & -2.38\% & -0.26\% \\
\hline
E06000002 & Middlesbrough & -0.34\% & -0.01\% & -2.32\% & 2.19\% & -1.33\% & 0.67\% \\
\hline
E08000021 & Newcastle upon Tyne & 0.10\% & -0.23\% & -0.67\% & -0.48\% & -1.51\% & 1.75\% \\
\hline
E08000022 & North Tyneside & 0.05\% & 0.54\% & -1.18\% & 3.30\% & -2.21\% & -0.60\% \\
\hline
E06000048 & Northumberland & 1.39\% & -0.08\% & -0.95\% & 3.50\% & -2.37\% & -1.44\% \\
\hline
E06000003 & Redcar and Cleveland & -0.02\% & -0.01\% & -2.09\% & 4.20\% & -2.06\% & -0.49\% \\
\hline
E08000023 & South Tyneside & -0.36\% & 2.03\% & -3.05\% & 4.50\% & -2.41\% & -0.51\% \\
\hline
E06000004 & Stockton-on-Tees & 0.14\% & 0.03\% & -2.02\% & 3.52\% & -2.01\% & -0.15\% \\
\hline
E08000024 & Sunderland & 0.17\% & 1.48\% & -3.11\% & 4.89\% & -2.21\% & -0.52\% \\
\hline
\multicolumn{8}{|c|}{Increase in percentage of employees travelling to work by various methods} \\
\hline
\end{tabular}
\end{center}
The first two digits of the Geography code give the type of each of the LAs:\\
06: Unitary authority\\
07: Non-metropolitan district\\
08: Metropolitan borough
\begin{enumerate}[label=(\alph*)]
\item In what type of LA are the largest increases in percentages of people travelling by underground, metro, light rail or tram?
\item Identify two main changes in the pattern of travel to work in the North East region between 2001 and 2011.
Now assume the following.
\begin{itemize}
\item The data refer to residents in the given LAs who are in the age range 20 to 65 at the time of each census.
\item The number of people in the age range 20 to 65 who move into or out of each given LA, or who die, between 2001 and 2011 is negligible.
\item Estimate the percentage of the people in the age range 20 to 65 in 2011 whose data appears in both 2001 and 2011.
\item In the light of your answer to part (c), suggest a reason for the changes in the pattern of travel to work in the North East region between 2001 and 2011.
\end{itemize}
\end{enumerate}
\hfill \mbox{\textit{OCR PURE Q10 [6]}}