2025 Cambridge IGCSE Geography (0460) Practice Paper with Answers

International migration brings challenges such as increased demand on public services (hospitals, schools) and infrastructure, potential wage depression in low-skilled sectors, and upward pressure on housing rents and prices.

1 mark for describing strain on public services (e.g., schools, hospitals). 1 mark for describing economic or social pressure (e.g., housing shortages, competition for jobs). 0.5 marks for providing a specific example of a destination country experiencing these pressures.

Constructive waves carry out coastal deposition. Their strong swash pushes sediment up the shore, and because their backwash is weak, the sediment remains on the beach, gradually building up its profile.

1 mark for identifying the combination of strong swash and weak backwash. 1 mark for explaining that sediment is deposited/not removed. 0.5 marks for stating another feature of constructive waves (e.g., low wave height or low frequency).

To obtain accurate and standardized air temperature readings, the Stevenson screen is painted white to reflect sunlight and elevated on legs (usually 1.2 meters) to prevent ground-level heat radiation from influencing the thermometer.

1 mark for explaining the role of the white color (reflecting solar radiation to measure air temperature, not direct sunlight). 1 mark for explaining the role of the legs (avoiding ground-level heat radiation/conduction). 0.5 marks for specifying the standard height of the legs (approx. 1.2 to 1.5 meters).

Farming depletes local water supplies through heavy irrigation. Inefficient spray systems waste water through evaporation, and growing thirsty crops like cotton or rice in dry regions rapidly lowers the local water table beyond its natural replenishment rate.

1 mark for identifying inefficient irrigation methods (e.g., spray/overhead irrigation leading to evaporation). 1 mark for explaining groundwater depletion or lowering of the water table. 0.5 marks for naming a water-intensive crop (e.g., cotton, rice, sugar cane).

Despite the hazards, volcanic regions attract populations because volcanic soils are extremely rich in minerals, boosting crop yields. Geothermal heat provides cheap, renewable energy, and spectacular volcanic landscapes attract tourists, creating local jobs.

1 mark for explaining fertile volcanic soils leading to high agricultural productivity. 1 mark for explaining economic benefits like geothermal energy or tourism jobs. 0.5 marks for providing a specific real-world example (e.g., Mt. Etna in Italy, Iceland, or tourism in Bali).

HDI assesses development beyond simple economic metrics by combining indicators of life expectancy (health), literacy and schooling years (education), and GNI per capita (wealth) into a single index score.

1 mark for identifying the three main dimensions (health, education, and wealth/standard of living). 1 mark for specifying at least two specific indicators used (e.g., life expectancy, GNI per capita, or years of schooling). 0.5 marks for explaining that it is a composite index scored between 0 and 1.

Waterfalls develop due to differential erosion. The river erodes the softer underlying rock faster than the resistant top layer. This results in undercutting, the formation of a plunge pool, eventual collapse of the unsupported hard rock overhang, and the gradual upstream retreat of the waterfall.

1 mark for explaining differential erosion (hard rock overlying soft rock). 1 mark for describing undercutting and overhang collapse. 0.5 marks for mentioning plunge pool development or headward retreat forming a gorge.

Universities provide high-tech firms with essential locational advantages: a large pool of qualified research graduates, access to cutting-edge research and development (R&D) facilities, and opportunities for commercializing academic innovations through science parks.

1 mark for explaining recruitment advantages (access to highly skilled graduates). 1 mark for explaining collaboration benefits (access to university research, R&D, or lab facilities). 0.5 marks for mentioning science parks or spin-off businesses (e.g., Cambridge Science Park or Silicon Valley near Stanford).

Economic migrants make a voluntary decision to move, usually seeking higher wages, employment, or a better standard of living. In contrast, refugees are forced to migrate due to fears of persecution, conflict, or environmental disasters. When choosing a destination, refugees often prioritize immediate safety, geographical proximity (easier and safer to reach), or existing refugee aid infrastructure. A classic real-world example is the movement of millions of Syrian refugees to neighboring Turkey or European countries like Germany during the civil war.

Part A [1 mark]: 1 mark for distinguishing between voluntary/economic reasons vs forced/survival reasons (e.g., economic migrants choose to move for jobs, while refugees have no choice and flee danger). Part B [1.5 marks]: 1 mark for explaining a valid pull factor for refugees (e.g., proximity/shared border, safety/peace, presence of aid camps, family links, welcoming policies). 0.5 marks for a correct, specific real-world example of a refugee migration flow (e.g., Syria to Turkey/Germany, Ukraine to Poland, Rohingya from Myanmar to Bangladesh).

Longshore drift begins with the prevailing wind approaching the coastline at an oblique angle. This causes waves (the swash) to carry sediment up the beach at that same angle. Under the force of gravity, the retreating water (the backwash) pulls the sediment straight down (perpendicular) to the shoreline. This continuous zig-zag pattern moves sediment along the coast. When the coastline suddenly changes direction (for example, at an estuary or headland), the waves lose energy in the sheltered water, leading to deposition. Over time, this deposited sand and shingle accumulates and extends out into the sea, forming a long, narrow spit.

1 mark for explaining that the prevailing wind approaches at an angle, causing the swash to carry sediment up the beach at an oblique angle. 1 mark for explaining that gravity pulls the backwash (and sediment) straight down (perpendicular) to the shoreline, resulting in a zig-zag movement. 0.5 marks for describing how deposition occurs when the coastline changes direction or energy drops, leading to the formation/extension of the spit.

Geothermal energy is generated by drilling deep wells into the Earth's crust in volcanically active regions. Cold water is pumped down onto hot rocks, where the extreme geothermal heat turns it into high-pressure steam. This steam rises to the surface and spins turbines connected to electrical generators. Economically, geothermal plants are highly advantageous because they offer continuous, reliable baseload power unaffected by weather conditions (unlike wind or solar), with very low running costs. Environmentally, however, the drilling and extraction process can release hazardous greenhouse and acidic gases (such as hydrogen sulfide and sulfur dioxide) trapped deep underground into the atmosphere.

Part A [1 mark]: 1 mark for explaining that water is heated underground by geothermal/volcanic heat to produce steam which spins turbines/generators. Part B [1.5 marks]: 1 mark for a valid economic advantage (e.g., continuous/reliable baseload power, very low operating costs after installation, high efficiency). 0.5 marks for a valid environmental disadvantage (e.g., release of greenhouse/toxic gases like hydrogen sulfide or carbon dioxide, potential to trigger localized seismic activity, disposal of toxic wastewater).

The CBD experiences intense competition for land because it is the most accessible point in the urban area, where major roads, rail lines, and public transport networks converge. This high demand from retail, commercial, and financial businesses drives up land values. Because land is so expensive, developers maximize their return on investment by building vertically (constructing skyscrapers and high-rise structures to increase usable floor space without purchasing more ground area). Horizontally, this results in extreme density, with buildings packed tightly together, sharing walls (continuous frontages), and leaving virtually no space for private gardens or open green areas.

1 mark for explaining the cause of high land values (e.g., extreme competition/demand for space, peak accessibility where major transport routes converge). 1 mark for explaining the vertical building characteristics (e.g., building upwards/skyscrapers to maximize floor space and offset high land costs). 0.5 marks for explaining the horizontal building characteristics (e.g., high density, terraced or continuous building frontages, lack of open green spaces/gardens between buildings).

(i) Country Z is experiencing a natural decrease because its death rate (10.5 per 1,000) is higher than its birth rate (8.3 per 1,000).
(ii) Overall population growth rate = (Birth Rate - Death Rate) + Net Migration Rate
= (12.1 - 9.4) + 2.8
= 2.7 (Natural Increase) + 2.8 (Net Migration)
= 5.5 per 1,000.

Part (i):
- 1 mark for identifying Country Z.

Part (ii):
- 1 mark for correct working/method (e.g., (12.1 - 9.4) + 2.8 or natural increase of 2.7 + 2.8).
- 1 mark for correct final answer: 5.5 per 1,000 (accept 5.5 or 0.55%).

(i) Drought/crop failure is the environmental push factor, which accounts for 10% of the migration.
(ii) Pull factors combined (Employment 45% + Education 25% + Healthcare 15% = 85%) represent the dominant reason for migration. This is far more significant than physical push factors (drought/crop failure at 10%), with 75% more people moving due to attraction factors than environmental distress.

Part (i):
- 1 mark for identifying 10%.

Part (ii):
- 1 mark for identifying that pull factors are far more significant/dominant than physical/environmental push factors.
- 1 mark for supporting the statement with compiled data (e.g., citing the combined 85% for pull factors vs 10% for push, or individual figures of 45%, 25%, 15% vs 10%).

(i) Calculating the differences for each month: Jan is 2.7 °C (-2.1 - (-4.8)); Apr is 2.3 °C (8.5 - 6.2); Jul is 2.9 °C (22.4 - 19.5); Oct is 2.3 °C (11.2 - 8.9). The maximum temperature difference is in July at 2.9 °C.
(ii) The Urban Heat Island intensity fluctuates over the year. It peaks during extreme seasons (July/summer at 2.9 °C and January/winter at 2.7 °C), and is lower during transitional seasons (April/spring and October/autumn both at 2.3 °C).

Part (i):
- 1 mark for correct calculation: 2.9 °C (accept 2.9).

Part (ii):
- 1 mark for identifying the general pattern (intensity peaks in summer/winter, lowest in spring/autumn).
- 1 mark for supporting with calculated data values (e.g., July = 2.9 °C or January = 2.7 °C versus April/October = 2.3 °C).

(i) Annual temperature range = Maximum temperature - Minimum temperature = 28°C (March/April) - 23°C (July) = 5°C.
(ii) The graph shows a direct positive correlation. During the periods of peak temperature (27°C - 28°C from November to April), the station experiences high precipitation (exceeding 180mm each month). In contrast, the cooler months (23°C - 24°C from June to August) align with the dry season, where precipitation drops below 15mm.

Part (i):
- 1 mark for 5°C (accept 5).

Part (ii):
- 1 mark for describing the positive/direct relationship (hotter months have higher rainfall / cooler months are drier).
- 1 mark for supporting data/use of statistics (e.g., comparing peak 28°C/280mm in March to lowest 23°C/10mm in July).

(i) Decrease in arrivals = 200 (thousands) - 50 (thousands) = 150 (thousands).
Percentage decrease = (150 / 200) * 100 = 75%.
(ii) The overall trend is non-linear and divided into three stages: First, a steady rise from 2015 to 2019 (increasing by 80,000). Second, a massive sudden drop in 2020 (falling by 150,000). Third, a gradual recovery trend from 2020 to 2022 (increasing by 70,000).

Part (i):
- 1 mark for correct calculation of 75% (accept -75% or 75% decrease).

Part (ii):
- 1 mark for identifying the steady growth phase up to 2019.
- 1 mark for describing the sudden collapse in 2020 followed by recovery/rise towards 2022.

(i) The relationship shows a strong positive correlation (as national wealth/GNI increases, adult literacy rate increases).
(ii) 1. Wealth to Literacy: Richer nations (high GNI) can afford higher public spending on educational infrastructure, free schooling, and quality teacher training. 2. Literacy to Wealth: A highly literate and educated workforce is more productive, skilled, and capable of operating high-tech or financial industries, attracting investment and generating greater national income.

Part (i):
- 1 mark for identifying positive correlation / direct relationship.

Part (ii):
- 1 mark for explaining how wealth (GNI) is reinvested into education (e.g., funding schools, training teachers, providing textbooks).
- 1 mark for explaining how literacy boosts productivity/economy (e.g., higher skills, attracting high-tech or tertiary sector jobs, boosting GDP/national income).

Level 1 (1-3 marks): Simple statements explaining positive or negative impacts.
- Positive: They work in agriculture, they pay taxes, they bring new food.
- Negative: There is pressure on schools, local people might argue with them, the government has to spend money on borders.

Level 2 (4-6 marks): Developed explanations of positive and/or negative impacts.
- Positive: Mexican migrants provide low-cost labor in agricultural sectors like California's Central Valley, helping farms remain profitable and lowering food costs for American consumers.
- Negative: The rapid influx of non-English speaking children can strain school budgets in states like Texas, requiring extra resources for language support and bilingual teachers.

Level 3 (7 marks): Comprehensive, well-developed answers covering both positive and negative impacts with clear reference to a named, specific migration stream (e.g., Mexico to USA) and place-specific details (e.g., California, Texas, fruit harvesting).

Level 1 (1 to 3 marks):
- Candidate writes simple, non-specific statements.
- Max 3 marks if no named/inappropriate example is provided.

Level 2 (4 to 6 marks):
- Candidate develops at least one explanation (4 marks).
- Candidate develops multiple explanations for both positive and negative impacts (5-6 marks).

Level 3 (7 marks):
- Candidate must provide a named example of an international migration stream.
- Must explain both positive and negative impacts with at least two developed points for each, including place-specific details (e.g., specific states, sectors, or cultural examples).

Level 1 (1-3 marks): Simple statements describing causes or impacts.
- Causes: The plates moved together, magma rose up.
- Impacts: People died, the capital city was buried, forests were ruined by ash.

Level 2 (4-6 marks): Developed explanations of causes and/or impacts.
- Causes: The subduction of the Atlantic plate under the Caribbean plate caused melting, which created sticky, gas-rich magma that built up high pressure.
- Impacts: Pyroclastic flows destroyed the capital city of Plymouth, forcing the permanent evacuation of the southern half of the island and causing severe economic disruption as tourism collapsed.

Level 3 (7 marks): Comprehensive, well-developed explanations of both causes and impacts, referencing a specific named volcano (e.g., Soufrière Hills, Montserrat) with precise place-specific details (e.g., Plymouth, Atlantic/Caribbean plates, exclusion zone).

Level 1 (1 to 3 marks):
- Simple, generalized statements about why volcanoes erupt or what they destroy.
- Max 3 marks if no named/inappropriate volcanic eruption is provided.

Level 2 (4 to 6 marks):
- Candidate develops at least one explanation of a cause or impact (4 marks).
- Candidate develops explanations for both causes and impacts (5-6 marks).

Level 3 (7 marks):
- Candidate must name a specific volcanic eruption.
- Must provide detailed, developed explanations of both the tectonic causes and the human/environmental impacts, incorporating place-specific knowledge (e.g., specific plates, names of cities/regions affected).

Level 1 (1-3 marks): Simple statements describing management strategies.
- They limit the number of visitors, tourists must walk with a guide, they check bags for pests, they have rules for boats.

Level 2 (4-6 marks): Developed explanations of how these strategies reduce negative environmental impacts.
- Requiring all tourists to be accompanied by certified guides ensures that visitors stick to designated trails, which prevents soil erosion and protects fragile nesting sites of endemic species like marine iguanas.
- Implementing strict biosecurity inspections at airports stops the introduction of non-native species, which could disrupt the delicate food chains of the islands' isolated ecosystems.

Level 3 (7 marks): Comprehensive, well-developed explanations of multiple management strategies, showing clearly how they mitigate environmental damage, with specific place-specific details from the named study area (e.g., Galapagos, marine iguanas, biosecurity, naturalist guides).

Level 1 (1 to 3 marks):
- Simple, descriptive statements of what is done to control tourists.
- Max 3 marks if no named/inappropriate tourist area is provided.

Level 2 (4 to 6 marks):
- Explains how at least one management strategy reduces environmental impact (4 marks).
- Explains multiple management strategies in a developed format, clearly linking the action to the environmental benefit (5-6 marks).

Level 3 (7 marks):
- Must refer to a named tourist area (e.g., Galapagos Islands).
- Detailed, well-developed explanations of at least three distinct management strategies, showing clear integration of place-specific facts (e.g., endemic species, particular laws, or regional bodies).

To find the ground distance:
Map distance = 8.4 cm.
Scale = 1:50,000, meaning 1 cm on the map represents 50,000 cm (0.5 km) on the ground.
Ground distance = \( 8.4 \text{ cm} \times 0.5 \text{ km/cm} = 4.2 \text{ km} \).

To find the back bearing:
Back bearing = Forward bearing + 180° (since the forward bearing is less than 180°).
Back bearing = \( 51^\circ + 180^\circ = 231^\circ \).

Total: 3.3 marks

(a) [2.2 marks total]
- Correct calculation process shown (e.g., \( 8.4 \times 0.5 \) or \( 8.4 \times 50,000 / 100,000 \)) [1.1 marks]
- Correct answer: 4.2 km [1.1 marks] (Accept 4.2. Reject other units unless converted correctly, e.g., 4200 m with unit specified).

(b) [1.1 marks]
- Correct back bearing: 231° [1.1 marks] (Accept 231. Reject if no working and incorrect).

(a) Contour lines form a 'V' shape pointing upstream when crossing a river valley. Since the apex of the 'V' points to the north-west, upstream is to the north-west, meaning the river must flow downstream towards the south-east.
(b) Closely spaced contours indicate a steep gradient (slope), while widely spaced contours represent a gentle gradient. Therefore, the eastern valley side is steep, and the western valley side is gentle.

Total: 3.3 marks

(a) [2.2 marks total]
- Correct direction of flow: from north-west to south-east (or south-eastward) [1.1 marks]
- Explanation: contour V-shapes always point upstream / higher ground is to the north-west [1.1 marks]

(b) [1.1 marks]
- Correct contrast of gradients: Eastern side is steep AND western side is gentle / flat / gradual [1.1 marks].

(a) The annual temperature range is the difference between the maximum and minimum monthly temperatures:
\( 22^\circ\text{C} - 11^\circ\text{C} = 11^\circ\text{C} \).

(b) The precipitation pattern shows high rainfall in the winter months (e.g., July) and very low rainfall in the summer months (e.g., January). This dry-summer, wet-winter pattern at 34° S is characteristic of a Mediterranean climate.

Total: 3.3 marks

(a) [1.1 marks]
- Correct calculation of temperature range: 11°C [1.1 marks] (Accept 11. Reject other numbers).

(b) [2.2 marks total]
- Description of precipitation pattern: High rainfall in winter / low rainfall in summer / seasonal variation [1.1 marks]
- Climate type identification: Mediterranean climate [1.1 marks].

(a) A population pyramid for a country with rapid growth (typically a Less Economically Developed Country, or LEDC) features a very broad base due to high birth rates, and rapidly tapering/concave sides leading to a narrow apex due to high death rates and low life expectancy.
(b) An economic challenge is the high youth dependency ratio. This puts immense financial pressure on the active working population and the government, which must allocate limited tax revenues to build and maintain schools, clinics, and basic infrastructure rather than investing in industrial or technological development.

Total: 3.3 marks

(a) [2.2 marks total]
- Feature 1: Broad / wide base [1.1 marks]
- Feature 2: Rapidly narrowing sides / concave shape / narrow apex (top) [1.1 marks]

(b) [1.1 marks]
- Explanation of an economic challenge: High cost of providing education/schools, high youth dependency putting strain on taxpayers, or high unemployment as large cohorts enter the job market [1.1 marks].

(a) Pattern A is a linear settlement because the houses are arranged in a line along a transport route (road and canal). Pattern B is a dispersed settlement because the dwellings are spread out individually over a wide area.
(b) Linear settlements develop along transport routes like roads or canals to allow easy access for trade, movement, and communications, or because the land adjacent to the transport corridor is flat and suitable for building.

Total: 3.3 marks

(a) [2.2 marks total]
- Pattern A: Linear [1.1 marks]
- Pattern B: Dispersed [1.1 marks]

(b) [1.1 marks]
- Reason for Pattern A: Growth along transport routes (road/canal) for accessibility, restricted flat land along a valley/canal, or historic planning along a communication line [1.1 marks].

(a) Longshore drift (or lateral drift) is the primary process of coastal transportation that moves sediment along the beach and leads to the formation of a spit.
(b) The end of a spit often curves landward or changes direction. This is caused by short-term changes in wind direction, wave refraction, or secondary waves coming from a different direction, forming a curved end or hook.
(c) A spit does not grow completely across an estuary because the strong outbound current of the river (river discharge/flow) and tidal currents continuously erode and sweep away the deposited sediment, keeping the estuary mouth open.

Total: 3.3 marks

(a) [1.1 marks]
- Longshore drift [1.1 marks] (Reject: transportation alone).

(b) [1.1 marks]
- Description/Feature: Curves landward / forms a hook / lateral ridge due to a change in wind/wave direction [1.1 marks].

(c) [1.1 marks]
- Reason: River current / tidal currents sweep sediment away / erosion by river water prevents complete closure [1.1 marks].

a) i) Read directly from the row for Yellow Dunes (60m): height is 5.5m.
ii) Calculation: \(5.5\text{ m} - 0.8\text{ m} = 4.7\text{ m}\).

b) i) At 0m pH is 8.3, and at 150m it is 5.2. Thus, pH decreases (becomes more acidic) as distance inland increases.
ii) This occurs because: 1. Rainwater washes out / leaches alkaline materials (like calcium carbonate from shells) over time. 2. More vegetation grows and dies inland, creating a layer of humus which decomposes and releases organic acids.

c) Vegetation cover increases from 0% at the strandline to 100% at the mature dunes.

d) Vegetation stabilizes sand dunes because: 1. Roots/rhizomes bind the sand particles together. 2. Above-ground leaves and stems reduce wind speed near the ground, causing sand to be deposited rather than eroded.

a) i) 5.5 m (1 mark)
ii) 4.7 m (1 mark) (allow correct working of \(5.5 - 0.8\))

b) i) pH decreases / becomes more acidic / lower pH (1 mark)
ii) Any 2 of the following for 1 mark each:
- Decay of organic matter/humus releases organic acids.
- Rainwater leaches / washes away alkaline components (shell fragments/calcium carbonate).
- Older dunes have had more time for leaching/decay to occur.

c) Positive correlation / as distance increases, vegetation cover percentage increases (1 mark)

d) Any 2 of the following for 1 mark each:
- Roots / rhizomes grow wide/deep to bind sand particles.
- Above-ground leaves block/slow down the wind, promoting deposition.
- Humus adds moisture/nutrients, supporting more growth which further binds the sand.

a) i) To calculate the percentage increase:
Change = \(240 - 50 = 190\) thousand.
Percentage Increase = \((190 / 50) \times 100 = 380\%\).
One accuracy mark for 380%, one method mark for showing correct formula or working.
ii) The drop in 2020 is most likely due to the COVID-19 pandemic and associated international travel restrictions, though credit is also given for major events like natural disasters or civil unrest.

b) i) Development stage (rapid growth in arrivals, external investment, tourism dominates the economy).
ii) Two positive economic impacts:
1. Direct and indirect job creation (hotels, transport, tours).
2. Foreign exchange earnings and increased tax revenues for the local government to fund services.

c) Two environmental management strategies:
1. Zoned restrictions / establishing nature reserves / Marine Protected Areas (MPAs) to shield vulnerable habitats from tourists.
2. Implementing eco-taxes or tourist quotas to limit carrying capacity overload and funding sustainable waste/water facilities.

a) i) 380% (2 marks)
- If answer is incorrect, award 1 mark for correct working: \(\frac{240 - 50}{50} \times 100\) or \(\frac{190}{50}\).
ii) COVID-19 pandemic / travel restrictions / natural disaster (e.g. volcanic eruption, hurricane) / political unrest (1 mark).

b) i) Development (accept Exploration/Involvement if justified, but Development is the standard answer for rapid growth) (1 mark).
ii) Any 2 of the following for 1 mark each:
- Job creation / employment in hotels/restaurants/transport.
- Multiplier effect / local businesses benefit.
- Tax revenues for government.
- Foreign currency earnings.
- Infrastructure development (roads, airports) which also benefits locals.

c) Any 2 of the following for 1 mark each:
- Setting carrying capacities / tourist quotas / limits on visitor numbers.
- Creating protected zones / national parks / marine reserves.
- Enforcing strict building regulations / height limits on hotels.
- Eco-tourism taxes / green fees to fund conservation.
- Improving waste disposal/sewage treatment facilities.

a) i) Rate of natural increase in 1960: \(\text{Birth Rate} - \text{Death Rate} = 44 - 22 = 22\text{ per 1,000}\).
ii) Rate of natural increase in 2000: \(20 - 7 = 13\text{ per 1,000}\). To convert to a percentage: \(13 / 10 = 1.3\%\).

b) i) Stage 4: low birth rate, low death rate, stable/slow population growth.
ii) Birth rate dropped significantly from 38 to 20 due to:
- Increased access to and education on contraception/family planning.
- Changing social roles of women (higher levels of education, career focus delaying marriage and childbirth).
- Lower infant mortality rate means families do not need to have as many children to ensure survival.

c) Natural decrease occurs when the death rate is higher than the birth rate (causing negative population growth, excluding migration). Country Y has not reached this stage as the birth rate (10) is still higher than the death rate (9), meaning there is still a small natural increase (1 per 1000).

d) The death rate rose slightly from 7 to 9 per 1000 because of an aging population structure (a higher proportion of elderly people, who naturally have higher mortality rates).

a) i) 22 per 1,000 (1 mark)
ii) 1.3% (1 mark) (must show '%' unit or be clearly expressed as a percentage)

b) i) Stage 4 (accept Stage 5 only if justified by the very low birth rate and aging trend, but Stage 4 is standard) (1 mark)
ii) Any 2 of the following for 1 mark each:
- Improved family planning / access to contraception.
- Emancipation of women / women pursuing careers / marrying later.
- Decline in infant mortality rates (fewer replacement births needed).
- Increased cost of raising children / urbanisation (children are no longer economic assets on farms).
- Government population policies.

c) Definition: Death rate is higher than birth rate / natural change is negative (1 mark).
Application to Country Y: No, it has not reached it because Birth Rate (10) is still greater than Death Rate (9) / there is still a natural increase of 1 per 1000 (1 mark).

d) Aging population / higher proportion of elderly people / rise in lifestyle diseases (1 mark).

a) i) Diurnal range for Day 1: Max Temp \(22^{\circ}\text{C}\) - Min Temp \(12^{\circ}\text{C} = 10^{\circ}\text{C}\).
ii) Total rainfall: \(0.0 + 0.5 + 14.2 + 3.0 + 0.0 = 17.7\text{ mm}\).

b) i) Wind direction is measured using a wind vane.
ii) Relative humidity is measured using a hygrometer (or wet-and-dry bulb thermometer / psychrometer).

c) i) There is a positive relationship / higher rainfall is associated with higher relative humidity. For example, Day 3 has the highest rainfall (14.2mm) and the highest relative humidity (92%).

d) Setup of a rain gauge:
1. Open area: Located away from trees, buildings, and structures to avoid blockages (rain shadow) or drips from overhanging branches. Distance should be at least twice the height of the nearest obstacle.
2. Height above ground: The rim of the funnel should be 30 cm above the ground level to prevent splashes from the ground entering the gauge.
3. Stability: Partially sunk into the ground or held securely in a frame to prevent it from blowing over in strong winds, keeping it perfectly vertical.

a) i) 10 °C (1 mark)
ii) 17.7 mm (1 mark)

b) i) Wind vane (1 mark)
ii) Hygrometer / wet and dry bulb thermometer / psychrometer (1 mark)

c) i) Positive correlation / higher rainfall associated with higher relative humidity (or vice versa) (1 mark)

d) Any 3 of the following for 1 mark each:
- Placed in an open area / away from trees or buildings / away from shelter.
- Placed at a distance from obstacles of at least twice their height.
- Rim of funnel 30cm above the ground (to avoid splash-in).
- Sunk into the ground / secured firmly (to prevent tipping over / keep upright).
- Funnel should be kept clear of leaves/debris.

a) i) There is a positive correlation: as a settlement's population size increases, its sphere of influence becomes larger (e.g., Glyn has 95 people and 0.5 km sphere of influence, while Melby has 120,000 people and 45.0 km sphere).
ii) Sphere of influence is defined as the geographical area served by a settlement or service.

b) i) Melby. Examples of high-order services include: specialist hospital, university, cathedral, shopping mall, department store, airport.
ii) Low-order services have a low threshold population because:
- They are convenience services used regularly (e.g., daily or weekly) by almost everyone.
- Because they are used so frequently, they only need a small number of customers nearby to make enough sales to remain economically viable.
- People are not willing to travel far for low-order goods, so they are widely distributed.

c) Differences between Clavering (village) and Melby (city):
- Range of goods: Clavering will offer low-order convenience goods (milk, bread) whereas Melby offers high-order comparison goods (electronics, designer clothes, furniture).
- Frequency of visits: People will visit Clavering very frequently (daily/weekly) for everyday needs, but will visit Melby less frequently (monthly/annually) for specialized purchases.

a) i) Positive relationship / as population increases, sphere of influence increases (or vice versa) (1 mark).
ii) The area served by a settlement / area from which a settlement attracts customers/users (1 mark).

b) i) Settlement: Melby (1 mark)
Example: Specialist hospital / university / major airport / department store / professional services (lawyers, specialist doctors) (1 mark).
ii) Any 2 of the following for 1 mark each:
- Low-order services are used frequently/daily.
- People are unwilling to travel long distances for them (short range).
- They are cheap/convenient items/services, meaning a small customer base is sufficient to generate enough turnover to survive.

c) Any 2 of the following for 1 mark each (must compare/contrast):
- Melby has a larger/wider range of goods; Clavering has a small/limited range.
- Melby offers comparison/specialist goods; Clavering offers convenience/everyday goods.
- Melby is visited less frequently / Clavering is visited more frequently.
- Melby has high-order goods; Clavering has low-order goods.

The students would use a tape measure, two ranging poles, a stopwatch, and a buoyant float (e.g., an orange). They lay out a tape measure along the strand line to mark a fixed distance of 10 metres. Ranging poles are placed at the start and end of this distance to serve as markers. A student throws the float into the sea just beyond the breaking waves at the start pole. They start the stopwatch and stop it when the float passes the end pole. The direction of movement is recorded using a compass. This is repeated 3 to 5 times at the same site to calculate an average velocity.

1 mark for naming appropriate equipment (buoyant float, stopwatch, tape measure, or ranging poles). 1 mark for describing the measurement process (recording time taken to travel a fixed distance, or measuring distance travelled in a fixed time). 1 mark for recording direction of drift (using a compass or identifying cardinal directions). 0.5 marks for reliability (repeating the process to calculate an average).

The students use systematic sampling to ensure an even distribution of data points across space. They determine transects on a map leading away from the center of the CBD. Along these routes, they establish sampling points at regular, pre-determined distances (e.g., 200m, 400m, 600m). At each point, they stand without obstructing the pavement and count every pedestrian that crosses an imaginary line for a fixed time interval (e.g., 5 or 10 minutes). To keep the data comparable, they carry out the counts at the same time of day and on the same day of the week.

1 mark for systematic interval choice (sampling at regular, measured distances from the CBD along transects). 1 mark for the count protocol (fixed counting period, e.g., 5 or 10 minutes, using a tally sheet or mechanical clicker). 1 mark for control of variables (same day of the week, same time of day at all sites to make it a fair test). 0.5 marks for safety or practical execution (working in pairs, not blocking the path of pedestrians).

To measure wind speed, students use an anemometer. They must hold the anemometer high and away from their body (at arm's length) to prevent blocking the wind. They record the digital reading, taking an average over 1 minute. To measure wind direction, they use a wind vane or hold up a compass and a light ribbon. They must record the direction from which the wind blows (e.g., a southerly wind blows from the south). To make it a fair test, measurements must be taken at the same times of day (e.g., 09:00, 12:00, and 15:00) at all three locations, ensuring the instruments are clear of immediate obstacles like tall trees or buildings.

1 mark for wind speed measurement technique (use of anemometer, held at arm's length/consistent height, average over a set time). 1 mark for wind direction technique (use of wind vane or ribbon with compass, identifying direction wind blows from). 1 mark for maintaining a fair test/reliability (taking readings at same times of day across sites, avoiding immediate windbreaks/obstacles). 0.5 marks for data recording (recording speed in m/s or knots, and direction as 8 compass points or degrees).

Students first design a questionnaire that features closed questions (such as rating the impact of litter, noise, and traffic on a scale of 1 to 5) to collect quantitative data, and open-ended questions (e.g., 'In what ways has tourism changed this resort?') for qualitative data. To select respondents without bias, they use a systematic sampling method, such as approaching every 5th or 10th pedestrian on the high street. They work in pairs for personal safety, ask the respondent politely if they are a local resident, briefly explain the academic purpose of the survey, and record responses directly on a standardized sheet. They should carry out the survey at different times of day to ensure a representative sample of residents.

1 mark for question design (using a mix of closed scale-based questions for quantitative analysis and open-ended qualitative questions). 1 mark for sampling method (systematic sampling with a specified interval to avoid bias, e.g., asking every 5th or 10th person). 1 mark for execution protocol (working in pairs for safety, polite introduction, verifying they are a local resident before starting). 0.5 marks for representative coverage (conducting surveys at different times of the day or at multiple locations in the resort).

To find the total EQI score, add the individual category scores: \(2 + 3 + 1 + 4 + 3 = 13\). To find the mean EQI score, divide the total score by the number of categories (5): \(13 / 5 = 2.6\).

1 mark for the correct calculation of the total score (13).
1 mark for the correct calculation of the mean (2.6).
0.5 marks for showing the correct division step: \(13 / 5\).

On the horizontal x-axis, the scale is 2 cm per km. For a distance of 4.5 km, the measurement is \(4.5 \times 2 = 9.0\text{ cm}\) from the origin. On the vertical y-axis, the scale is 1 cm per 2 score points. For a score of 22, the measurement is \(22 / 2 = 11.0\text{ cm}\) up from the origin. The data point is located at the intersection of these coordinates.

1 mark for correctly calculating the horizontal distance (9 cm).
1 mark for correctly calculating the vertical height (11 cm).
0.5 marks for explaining that the point is plotted at the intersection of these two coordinate lines.

To find the percentage: \((12 / 50) \times 100 = 24\%\). To find the corresponding angle for a pie chart, multiply the percentage (or fraction) by 360 degrees: \(0.24 \times 360^\circ = 86.4^\circ\) (or \((12 / 50) \times 360^\circ = 86.4^\circ\)).

1 mark for correct percentage calculation (24%).
1 mark for correct angle calculation (86.4° or 86°).
0.5 marks for showing the correct working formula (e.g., \((12 / 50) \times 360\) or \(0.24 \times 360\)).

The anomalous measurement is 0.89 m/s because it is significantly higher than the other four consistent measurements (ranging from 0.38 to 0.45 m/s), likely due to sudden weed interference. To handle this anomaly, it must be excluded from the calculation. The average is calculated using only the remaining four measurements: \((0.42 + 0.45 + 0.38 + 0.41) / 4 = 1.66 / 4 = 0.415\text{ m/s}\), which rounds to 0.42 m/s.

0.5 marks for identifying 0.89 m/s as the anomaly.
1 mark for explaining that the anomaly should be excluded/discarded from the calculation.
1 mark for correctly calculating the mean of the remaining 4 measurements (0.42 m/s). Reject 0.51 m/s (mean of all 5).

For a 10 cm divided bar graph, each 10% corresponds to 1.0 cm of length.
- Class 1-2: \(10\% \times 10\text{ cm} = 1.0\text{ cm}\)
- Class 3-4: \(50\% \times 10\text{ cm} = 5.0\text{ cm}\)
- Class 5-6: \(40\% \times 10\text{ cm} = 4.0\text{ cm}\)
The sections will be plotted in order: 0 to 1.0 cm, 1.0 to 6.0 cm, and 6.0 to 10.0 cm.

1 mark for calculating the width of the Class 1-2 segment as 1.0 cm (or plotted from 0 to 1 cm).
1 mark for calculating the width of the Class 3-4 segment as 5.0 cm (or plotted from 1 to 6 cm).
0.5 marks for calculating the width of the Class 5-6 segment as 4.0 cm (or plotted from 6 to 10 cm).

First, calculate the average depth of the active channel: \((0.15 + 0.28 + 0.35 + 0.22 + 0.10) / 5 = 1.10 / 5 = 0.22\text{ m}\). Next, calculate the cross-sectional area: \(2.4\text{ m} \times 0.22\text{ m} = 0.528\text{ m}^2\). Rounded to 2 decimal places, the cross-sectional area is 0.53 m².

1 mark for the correct average depth calculation (0.22 m).
1 mark for the correct cross-sectional area calculation (0.53 m² or 0.528 m²).
0.5 marks for showing the correct multiplication step: \(2.4 \times 0.22\).

To answer this question, first state whether you agree or disagree with the hypothesis. The data clearly shows that environmental quality scores are consistently higher in the CBD compared to the Industrial Zone, so you must agree that the hypothesis is correct. Then, support this assertion with specific, accurate data. Use the calculated means (14.8 for CBD vs 7.8 for Industrial) to demonstrate the overall difference. Next, compare specific site data to strengthen your argument (e.g., comparing the highest score of 17 in the CBD to 11 in the Industrial Zone, or noting that the lowest score in the CBD, 12, is higher than any score in the Industrial Zone).

1 mark for stating that the hypothesis is correct/supported. 1 mark for comparative use of overall averages/means (e.g., 14.8 vs 7.8). 1 mark for comparing individual site data (e.g., highest in CBD is 17 at Site 3 vs highest in Industrial is 11 at Site D, or lowest in CBD is 12 vs lowest in Industrial is 5). 0.5 marks for accurate units/referencing scale (out of 20).

Start by stating your conclusion: the hypothesis is correct or fully supported. Then provide systematic evidence from the data. Cite the starting size (8.4 cm at 0m) and the final size (2.3 cm at 400m) to show the overall trend. Include an intermediate value (such as 5.5 cm at 200m) to demonstrate that the decrease is continuous and consistent. Calculate the total decrease (8.4 cm - 2.3 cm = 6.1 cm) to show precise data manipulation.

1 mark for correct hypothesis decision (supported/accepted). 1 mark for citing start (0m / proximal) and end (400m / distal) measurements with correct units (8.4 cm vs 2.3 cm). 1 mark for showing sequential decrease/trend with at least one intermediate data point (e.g., 5.5 cm at 200m or 4.1 cm at 300m). 0.5 marks for calculating the difference (6.1 cm decrease).

State clearly that the hypothesis is fully supported. To support this, compare the average velocities for all three sites (0.25 m/s, 0.52 m/s, and 0.85 m/s) to show a clear increase from upstream to downstream. For further depth, calculate the difference between the upstream and downstream averages (0.85 - 0.25 = 0.60 m/s). Finally, point out that individual trial data shows no overlap (e.g., the slowest trial downstream, 0.81 m/s, is faster than the fastest trial midstream, 0.56 m/s), confirming the consistency of the trend.

1 mark for accepting the hypothesis (fully supported). 1 mark for quoting all three averages (0.25 m/s, 0.52 m/s, 0.85 m/s) with correct units (m/s). 1 mark for using trial ranges to show consistency (e.g., downstream range 0.81 to 0.89 m/s is entirely higher than midstream/upstream trials). 0.5 marks for correct calculation of the total increase (0.60 m/s).

First, state that the hypothesis is correct/supported. Next, use comparative statistics from the questionnaire to support your choice. Cite the percentage of residents agreeing in Sector A (78%) versus Sector B (34%) to show the difference in negative perception. Calculate the difference (78% - 34% = 44% more agreement closer to attractions). You can also compare those who disagreed (10% in Sector A versus 40% in Sector B) to demonstrate that those further away hold less negative views.

1 mark for stating the hypothesis is correct/supported. 1 mark for quoting Sector A agreement data (78%) and Sector B agreement data (34%) with units (%). 1 mark for comparing the disagreement levels (e.g., 40% disagree in Sector B vs 10% in Sector A). 0.5 marks for showing the percentage difference in agreement (78% - 34% = 44% difference).

To improve the reliability of the longshore drift experiment, students should address the limitations of their single, short-term test with uniform pebbles. First, repeating the test on different days or under different wave and wind conditions ensures the findings are not unique to a single day's weather. Second, leaving the pebbles for a longer duration (such as 2 to 4 hours or a full tidal cycle) gives a more representative measure of actual transport rates than a brief 20-minute window. Third, using a wider variety of pebble sizes and shapes helps reflect how different types of beach material are transported by waves.

Award 1 mark for each valid improvement suggestion (up to 3 marks): - Repeat on different days / at different times of the year / during different weather or wave conditions (1 mark) - Measure over a longer duration of time (e.g. several hours or a full tidal cycle) (1 mark) - Use a wider variety of pebble shapes and sizes / sample different types of beach material (1 mark) - Repeat the test at multiple locations along the same beach (1 mark) - Use more pebbles to increase sample size (1 mark) (Note: Do NOT accept 'do it more carefully' or vague suggestions without geographical context.)

The students' current sampling is highly biased because it only captures shoppers available on a Tuesday morning (likely retired people, parents with young children, or unemployed individuals) and uses an extremely small sample of 20 people. To improve this: 1. They should significantly increase the sample size (e.g., to 100 or 150 respondents) to make the data more statistically representative. 2. They must survey on different days of the week, particularly Saturday or Sunday, and at different times (e.g., evenings) to capture commuting workers and students. 3. They should adopt a systematic sampling technique (such as interviewing every nth person exiting the mall) rather than choosing people randomly or opportunistically, which introduces personal bias.

Award 1 mark for each valid suggestion (up to 3 marks): - Increase sample size / ask more shoppers (1 mark) - Conduct surveys on different days of the week, specifically weekends / Saturdays (1 mark) - Conduct surveys at different times of day (e.g., evening / lunch hour) (1 mark) - Use a systematic sampling approach (e.g., asking every 5th or 10th person) to reduce bias (1 mark) - Survey at all exits of the shopping mall, not just the main entrance (1 mark)

Measuring microclimates at a single point in time on a single day provides a very limited snapshot. To gain a complete understanding, students should: 1. Take measurements at regular intervals throughout the day to observe how shadow, asphalt, and vegetation affect temperatures as the sun moves. 2. Repeat the study during different seasons to compare microclimatic variations under winter and summer conditions. 3. Coordinate multiple groups of students to take measurements simultaneously at all 5 sites so that changing atmospheric conditions during the day do not distort comparisons between locations.

Award 1 mark for each valid point (up to 3 marks): - Take readings at different times of day (1 mark) - Repeat the data collection in different seasons / different weather conditions (1 mark) - Take measurements simultaneously at all sites / use synchronized student teams (1 mark) - Add more measurement sites around the school (e.g., indoor areas, near water bodies, rooftops) (1 mark) - Use digital data loggers for continuous 24-hour recording (1 mark)

An EQI conducted only at three busy seafront sites during peak season does not provide a complete or balanced picture. To improve this: 1. Students should include control sites, such as residential or non-tourist suburban areas of the resort, to compare environmental quality in tourist vs. non-tourist zones. 2. They should repeat the fieldwork during the off-peak season (e.g., winter) to isolate the specific impact of tourists from baseline environmental conditions. 3. They can complement their subjective EQI assessments with human surveys, such as questionnaires targeted at local residents and tourists, to collect qualitative data on traffic, litter, and noise.

Award 1 mark for each valid improvement (up to 3 marks): - Include control sites / survey non-tourist residential areas for comparison (1 mark) - Repeat fieldwork during off-peak season / winter (1 mark) - Use questionnaires to interview local residents / shopkeepers / tourists about their views on impacts (1 mark) - Increase the number of survey sites along the seafront or town center (1 mark) - Collect objective, quantitative data such as litter counts, decibel noise levels, or traffic counts (1 mark)