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G47: Graphical and Numerical Skills
FoundationHigherAQAEdexcelOCREduqasCCEA
Graph skills (line, bar, pie, scatter, population pyramids), map skills (choropleth, isoline, dot maps), and numerical skills (proportion, ratio, magnitude, frequency) for GCSE Geography.
📈 Line Graphs
Definition: A line graph shows how a continuous variable changes over time or distance. The x-axis usually represents time or distance, and the y-axis represents the measured variable. Points are plotted and joined with straight lines or a curve of best fit.
When to Use Line Graphs
Showing changes over time (e.g. population growth, temperature change, CO₂ emissions)
Showing changes along a transect (e.g. river velocity downstream, environmental quality vs distance from CBD)
Comparing trends (multiple lines on one graph, e.g. birth rate and death rate over time)
How to Describe a Line Graph
Overall trend: Increasing, decreasing, fluctuating, or stable
Rate of change: Rapid increase, gradual decline, steep rise
Key values: Starting point, peak, lowest point, final value
Anomalies: Any point that breaks the trend
Use data: Quote specific values (e.g. "rose from 2.3 million in 2000 to 4.1 million in 2020")
Example: Describing a Line Graph
"Population increased steadily from 45 million in 1970 to 52 million in 1990 (a rise of 7 million over 20 years). The rate of increase then accelerated, reaching 67 million by 2020 (a rise of 15 million in 30 years). The overall trend is one of continuous growth, with the rate of growth increasing after 1990."
📊 Bar Charts
Definition: A bar chart uses rectangular bars to compare discrete categories. The height (or length) of each bar represents the value. Bars can be vertical or horizontal. They should have gaps between them (unlike histograms).
Types of Bar Charts
Simple bar chart: One category per bar (e.g. GDP of different countries)
Compound bar chart: Bars divided into sections showing subcategories (e.g. energy mix by source for different countries)
Divided bar chart: A single bar divided into proportional sections (like a horizontal pie chart)
Multiple bar chart: Grouped bars for comparison (e.g. male and female literacy rates by region)
Graph Type
Best For
Example
Simple bar
Comparing values across categories
GNI per head for 6 different countries
Compound bar
Comparing composition AND total
Energy mix (coal, gas, nuclear, renewable) for 5 countries
Multiple bar
Comparing two related variables
Birth rate and death rate for 8 countries
🥧 Pie Charts
Definition: A pie chart shows proportions of a whole as segments of a circle. The full circle (360°) represents the total, and each segment is proportional to the value it represents.
Calculating Pie Chart Angles:
Angle for each segment = (Value ÷ Total) × 360°
Example: If agriculture uses 70% of water, industry 20%, and domestic 10%:
Agriculture: 70/100 × 360 = 252°
Industry: 20/100 × 360 = 72°
Domestic: 10/100 × 360 = 36°
Total: 252 + 72 + 36 = 360° ✓
Advantages and Limitations
Advantages
Limitations
Clearly shows proportions of a whole
Difficult to compare between two pie charts
Visually effective for 3-6 categories
Small differences between segments are hard to see
Easy to understand at a glance
Too many categories make it cluttered
Can be combined with maps (located pie charts)
Doesn't show total values - only proportions
🔵 Scatter Graphs
Definition: A scatter graph plots two variables against each other to test whether a relationship exists. Each point represents one observation. The pattern of points reveals the type and strength of correlation.
Types of Correlation
Positive correlation: As one variable increases, the other also increases (points trend upward to the right). Example: GNI per head and life expectancy
Negative correlation: As one variable increases, the other decreases (points trend downward to the right). Example: Distance from CBD and land values
No correlation: Points are scattered randomly with no clear pattern. Example: Country area and population density
Line of Best Fit: Draw a straight line through the scatter of points that best represents the trend. Roughly equal numbers of points should be above and below the line. The line can be used to:
- Interpolate: Estimate a value within the range of data (reading off the line)
- Extrapolate: Estimate a value beyond the range of data (extending the line) - less reliable
Example: Scatter Graph in Fieldwork
Plotting distance from the CBD (x-axis) against environmental quality score (y-axis). If the points trend downward, this shows a negative correlation - environmental quality decreases with distance from the CBD. The strength of the correlation can be tested using Spearman's Rank. A line of best fit allows you to predict the environmental quality score at any distance from the CBD.
👥 Population Pyramids
Definition: A population pyramid (age-sex pyramid) is a bar chart showing the age and sex structure of a population. Males are on the left, females on the right, with the youngest at the bottom and oldest at the top. The shape reveals a country's demographic characteristics.
Shape
Characteristics
Typical of
DTM Stage
Wide base, narrow top
High birth rate; high death rate; short life expectancy; large youthful population
LICs (e.g. Niger, Chad)
Stage 2
Narrowing base, widening middle
Falling birth rate; low death rate; increasing life expectancy; working-age population growing
NEEs (e.g. Brazil, India)
Stage 3
Narrow base, wide top
Low birth rate; low death rate; high life expectancy; ageing population
HICs (e.g. UK, Japan)
Stage 4-5
Reading Population Pyramids
Base width: Shows birth rate - wide base = high birth rate
Sides: Concave sides = high death rate; convex sides = low death rate / high life expectancy
Bulges/dips: Baby booms, wars, migration, or policy effects show as bulges or dips in specific age cohorts
Sex ratio: If one side is wider than the other at certain ages, it may indicate migration (e.g. young male workers) or differential mortality
Dependency ratio: The proportion of young (0-14) and elderly (65+) dependents compared to working-age (15-64) population
Dependency Ratio Formula:
Dependency Ratio = (Population aged 0-14 + Population aged 65+) ÷ Population aged 15-64 × 100
A high dependency ratio means fewer workers supporting more dependents, creating economic pressure.
🗺️ Specialised Map Types
Choropleth Maps
Definition: A choropleth map uses different shades or colours to show the density or value of a variable across areas. Darker shading usually indicates higher values. Common for population density, GNI per head, or development indicators.
Advantages: Clear visual pattern of spatial variation; easy to identify high and low areas; good for regional comparisons.
Limitations: Gives the impression of uniform value within each area; boundaries may not reflect real geographical patterns; small areas with high values can be hard to see.
Isoline Maps
Definition: An isoline map joins points of equal value with lines. Examples include contours (equal height), isotherms (equal temperature), isobars (equal pressure), and isohyets (equal rainfall).
Advantages: Shows gradual change rather than abrupt boundaries; can identify gradients (closer lines = steeper gradient); useful for showing continuous data.
Limitations: Can be difficult to read where lines are very close; between lines the value is estimated; requires sufficient data points to draw accurately.
Dot Maps
Definition: A dot map uses dots to show the distribution and quantity of a feature. Each dot represents a specific quantity (e.g. 1 dot = 10,000 people). Dots are placed where the feature occurs.
Advantages: Shows spatial distribution clearly; easy to see clusters and gaps; dots represent actual location.
Limitations: Dense areas become solid colour; exact position of dots may be approximate; doesn't work well for very large or very small values.
Map Type
Best For
Geographical Example
Choropleth
Density or value across defined areas
GNI per head by country; deprivation index by ward
Isoline
Gradual change of a continuous variable
Temperature across Europe; rainfall across a country
Dot
Distribution and quantity of features
Population distribution; location of earthquakes
Proportional symbol
Quantity at specific locations
City population; earthquake magnitude
Flow line
Movement and volume between places
Trade flows; migration routes; river discharge
Desire line
Movement from origin to destination
Commuter flows; tourist origins
🔢 Numerical Skills
Proportion and Percentage
Proportion = Part ÷ Whole
Percentage = (Part ÷ Whole) × 100
Percentage change = ((New value − Original value) ÷ Original value) × 100
Example: Population grew from 45 million (2000) to 58 million (2020).
Percentage change = ((58 − 45) ÷ 45) × 100 = (13 ÷ 45) × 100 = 28.9% increase
Ratio
Definition: A ratio compares two or more quantities. In geography, common ratios include: population density (people per km²), doctor-to-patient ratio, and dependency ratio.
Population density = Total population ÷ Total area (people per km²)
Doctor-to-population ratio = Total population ÷ Number of doctors
Example: UK population 67 million, area 243,610 km².
Population density = 67,000,000 ÷ 243,610 = 275 people per km²
Magnitude
Magnitude describes the size or scale of something. Common geographical uses:
Richter scale (earthquakes): Each whole number increase represents 10 times more ground motion and approximately 31.5 times more energy released. A magnitude 7 earthquake is about 1,000 times more powerful than magnitude 5
Saffir-Simpson scale (hurricanes): Categories 1-5 based on wind speed; each category represents significantly more potential damage
VEI (volcanic eruptions): Scale 0-8; each step represents roughly 10 times more volume of material ejected
Frequency
Definition: Frequency is how often something occurs. In geography, frequency is used to describe: how often a hazard event occurs (e.g. "a 1-in-100 year flood"), how common a particular measurement is (frequency distribution), and recurrence intervals.
Recurrence Interval = (Number of years of record + 1) ÷ (Rank of event)
Example: If the highest flood in 50 years of records has a rank of 1:
Recurrence interval = (50 + 1) ÷ 1 = 51 years (a "1-in-51 year flood")
❓ Practice Questions
Q1: Explain the difference between a simple bar chart and a compound bar chart, giving a geographical example of when each would be used.
Q2: A country's population is 32 million and its area is 256,000 km². Calculate its population density.
Q3: Describe the characteristics of a population pyramid for a country in Stage 4 of the DTM.
Q4: Explain the difference between a choropleth map and a dot map. When might each be more appropriate?
Q5: A country's GDP per capita increased from $2,400 to $3,600 over ten years. Calculate the percentage increase.
Q6: Explain the difference between interpolation and extrapolation on a scatter graph, and which is more reliable.
✅ Answers
A simple bar chart has one bar per category showing a single value (e.g. GNI per head for different countries). A compound bar chart divides each bar into sections showing subcategories (e.g. energy mix for each country, with coal, gas, nuclear, and renewable as sections within each bar). Simple bars are best for comparing one variable; compound bars are best when you want to compare both totals and composition.
Population density = Total population ÷ Total area = 32,000,000 ÷ 256,000 = 125 people per km².
A Stage 4 population pyramid has a narrow base (low birth rate), relatively straight sides (low death rate across all ages), a wide middle section (large working-age population), and a widening top (increasing elderly population and high life expectancy). The shape is more rectangular/concave than a Stage 2 or 3 pyramid. An ageing population creates pressure on pensions and healthcare. Examples: UK, France, Australia.
A choropleth map shades areas by value (darker = higher), good for showing density or averages across defined areas (e.g. population density by region). A dot map uses dots to represent individual occurrences or quantities at specific locations, good for showing actual distribution (e.g. where people live). Choropleth is better for continuous data averaged over areas; dot maps are better for showing spatial clustering and the actual location of features.
Interpolation estimates a value within the range of existing data points on a scatter graph - reading off the line of best fit between two known values. Extrapolation extends the line of best fit beyond the data range to estimate values for which no data exists. Interpolation is more reliable because it is based on the established trend within the known data range, whereas extrapolation assumes the trend continues in the same way, which may not be true.
🎯 Exam Tips
Always include title, axis labels, units, and key when drawing graphs
When describing graphs, quote data and identify trends, not just "it goes up"
Know which graph type is best for each data type (categorical = bar, continuous = line, proportional = pie)
Population pyramids: always describe base, sides, and top, and link to DTM stage
For pie chart calculations, always check angles add up to 360°
Choropleth maps: use a consistent colour scale with a clear key
Percentage change questions: remember to divide by the ORIGINAL value, not the new value
When interpreting scatter graphs, describe both the direction AND strength of correlation
📝 Exam Technique
Geography Exam Tips — Graphical and Numerical Skills:
1. For Graphical and Numerical Skills questions, always name specific case studies with factual detail
2. Use geographical terminology precisely (e.g. specific processes, not vague descriptions)
3. Consider social, economic and environmental perspectives in your evaluations
4. Support your points about Graphical and Numerical Skills with data, statistics or named examples
5. For 'assess' or 'evaluate' questions, reach a clear judgement supported by evidence
⚠️ Common Errors
Watch Out!
Students often write vague answers without specific geographical evidence. Wrong: Writing generalised statements like 'it causes problems'Correct: Using specific data and named examples, e.g. 'the 2010 Haiti earthquake killed over 200,000 people due to poor building quality'
Students often confuse causes and effects. Wrong: Mixing up what caused the event with what resulted from itCorrect: Clearly separate causes (why it happened) from effects (what happened as a result)
Students often describe rather than evaluate. Wrong: Listing strategies without assessing their effectivenessCorrect: Weighing up strengths and weaknesses of each approach and reaching a supported judgement
✍️ Model Answer
Full-Mark Response
6 marks: Explain the key factors affecting graphical and numerical skills.
Graphical and Numerical Skills involves multiple interconnected factors that geographers must understand. The key concepts include the processes that create and change graphical and numerical skills, the impacts on both people and environment, and the strategies used to manage associated challenges. For a comprehensive answer, specific case study evidence should be used throughout, with named examples and data to support each point. Geographical terminology should be used precisely, and the interrelationship between physical and human factors should be demonstrated. Top-level responses evaluate the relative importance of different factors and consider how the situation varies between locations.
Mark scheme: 2 marks for identifying key factors, 2 marks for explaining processes with detail, 2 marks for using specific evidence
📊 AO Deep Dive
Assessment Objective Analysis
AO1 requires knowledge of the key facts and processes related to graphical and numerical skills. AO2 demands understanding of how and why these processes operate, and their implications. AO3 asks you to analyse, evaluate and make judgements — this is where grade 9 answers stand out by weighing up competing perspectives and reaching supported conclusions. AO4 may involve interpreting maps, graphs or data related to this topic. To move from grade 5 to grade 9: use precise geographical terminology, support every point with specific case study evidence, and always evaluate rather than just describe.