Urbanisation: Lagos and London
6 lessons
Enquiry questions
Concepts
This study delivers 1 primary concept and 2 secondary concepts.
Primary concept: Population, Urbanisation and Migration (GE-KS3-C004)
Type: Knowledge | Teaching weight: 3/6Population geography examines the distribution, density, composition and change of human populations. Urbanisation is the process by which an increasing proportion of a population lives in cities, driven by rural-to-urban migration in search of economic opportunities. Migration is the movement of people between places, driven by push factors (poverty, conflict, climate hazards) and pull factors (economic opportunity, safety, family). At KS3, pupils develop understanding of the major demographic processes reshaping the contemporary world: global population growth, urbanisation, ageing populations in wealthy countries and migration at local, national and global scales.
Teaching guidance: Use population pyramids to analyse population structure and predict future trends. Map the global distribution of population and explain the factors that determine population density. Study urbanisation in contrasting global contexts: high-income and low-income countries. Examine specific megacities and their challenges. Analyse migration using push-pull frameworks and case studies. Discuss the causes and consequences of population change for environments, economies and societies. Connect to current news and events involving migration, refugees and demographic change. Key vocabulary: population, density, distribution, urbanisation, migration, push factor, pull factor, refugee, megacity, suburb, demographics, birth rate, death rate, natural increase, ageing population Common misconceptions: Pupils may assume that population growth is necessarily problematic. The relationship between population density and resource availability is more complex; discussing both overpopulated and underpopulated regions challenges simple correlations. Migration is often portrayed as a problem rather than as a long-standing human response to opportunity and threat; a balanced examination of causes and consequences develops more nuanced understanding. The demographic transition model is a useful but simplified framework; discussing its limitations develops critical thinking.Differentiation
| Level | What success looks like | Example task | Common errors |
| Emerging | Can identify that the world's population is growing and that many people live in cities, but cannot explain the processes driving population change or urbanisation. | Why are cities getting bigger? | Not distinguishing between urbanisation (proportion) and urban growth (absolute numbers); Giving only one reason for urbanisation without considering multiple push and pull factors |
| Developing | Can describe global patterns of population growth and urbanisation, explain push-pull factors driving migration, and use the demographic transition model to explain population change. | Explain why people migrate from rural areas to cities in low-income countries. Give specific push and pull factors. | Listing push and pull factors without explaining how they interact to produce migration; Assuming that urbanisation always leads to better outcomes for migrants |
| Secure | Can analyse the causes and consequences of population change and urbanisation at multiple scales, compare experiences in different development contexts, and evaluate the challenges and opportunities created by demographic change. | Compare the causes and challenges of urbanisation in a high-income country and a low-income country. Use named examples. | Presenting urbanisation in LICs as entirely negative without acknowledging the opportunities cities provide; Not comparing the two contexts systematically using the same analytical categories |
| Mastery | Can critically evaluate theoretical models of population and urbanisation, connect demographic change to broader global issues (development, environment, migration), and assess the implications of current trends for the future. | How useful is the demographic transition model for understanding population change in different parts of the world? What are its limitations? | Treating the DTM as a predictive model that tells us what will happen rather than a generalised description of what has happened; Not considering the cultural and political factors that make different countries' demographic transitions distinctive |
Model response (Emerging): Cities are getting bigger because more people want to live in them. People move to cities for jobs.
Model response (Developing): People migrate from rural areas to cities because of a combination of push factors (reasons to leave) and pull factors (reasons to go). Push factors include: poverty and low wages in agriculture; lack of services such as schools and hospitals in rural areas; natural disasters like drought or flooding that destroy crops; and land shortages as rural populations grow. Pull factors include: perceived job opportunities in factories, construction and services; higher wages (urban workers typically earn more than agricultural workers); better access to education, healthcare and other services; and the excitement and opportunities of city life. In countries like Nigeria, rural-urban migration has been driven by the oil economy concentrated in cities like Lagos, while rural agriculture remains underfunded. However, urban reality often does not match expectations: many migrants end up in informal settlements with poor housing, sanitation and limited formal employment.
Model response (Secure): Urbanisation in high-income countries (HICs) and low-income countries (LICs) differs in its pace, causes and challenges. In the UK, urbanisation occurred gradually over two centuries during industrialisation (1750-1950) and has now levelled at about 83% urban. Current trends include counter-urbanisation (movement out of cities to suburbs and rural areas) and re-urbanisation (regeneration of inner-city areas). Challenges include: housing affordability, traffic congestion, urban deprivation in inner cities, and pressure on the green belt. In Lagos, Nigeria, urbanisation is rapid and ongoing: the population has grown from about 1 million in 1960 to over 15 million today, driven by massive rural-urban migration and high natural increase. This pace of growth far outstrips the capacity to provide infrastructure, resulting in widespread informal settlements (e.g. Makoko, a floating slum), inadequate water supply and sanitation, air and water pollution, and a congested transport network. The key difference is that UK urbanisation occurred over centuries with gradually improving infrastructure, while Lagos is experiencing in decades what London experienced over two centuries, without the same financial resources to manage growth. However, both cities face the challenge of creating sustainable urban environments: reducing emissions, providing affordable housing, and managing social inequality. Lagos also demonstrates urban resilience and innovation: community-based organisations, informal economic activity, and grassroots solutions to service provision show that rapid urbanisation generates both problems and creative responses.
Model response (Mastery): The demographic transition model (DTM) is a useful generalisation but has significant limitations that prevent it from being a reliable predictive tool. The model describes five stages of population change, from high birth rate and high death rate (Stage 1) through declining death rate with high birth rate (Stage 2, rapid growth) to low birth rate and low death rate (Stage 4/5, population stability or decline). Its usefulness lies in describing the broad pattern that most industrialised countries have followed and providing a framework for understanding the relationship between economic development, healthcare improvement, urbanisation and fertility decline. However, the limitations are substantial. First, the model was based on European historical experience and assumes all countries will follow the same path, which ignores the different economic, cultural and political contexts of contemporary developing countries. Second, it does not explain the mechanisms of change: why exactly does industrialisation lead to lower birth rates? Cultural factors (education of women, religious attitudes to contraception, government population policies) vary enormously between countries and produce very different fertility patterns. China's one-child policy (1979-2015) produced a dramatic fertility decline through state coercion, quite different from the gradual social change the model describes. Third, the model does not account for countries that have become 'stuck' in Stage 2-3 due to conflict, governance failures or the HIV/AIDS epidemic (e.g. several sub-Saharan African countries). Fourth, Stage 5 (population decline) was not part of the original model and presents challenges (ageing populations, declining workforces) that the model does not predict or explain. The most productive approach uses the DTM as a descriptive framework while recognising that real population change is shaped by specific historical, cultural and political factors that no single model can capture.
Secondary concept: Global Development and Inequality (GE-KS3-C002)
Type: Knowledge | Teaching weight: 3/6Development refers to the process of improvement in human wellbeing and living standards, measured by indicators such as GDP, HDI, life expectancy, literacy rates and access to services. The geography of development is highly uneven: some parts of the world have achieved high levels of human development while others remain in conditions of poverty and deprivation. Understanding why development is uneven requires analysis of historical factors (colonialism, trade patterns), geographical factors (resource endowment, climate, landlocked position) and current political and economic factors. At KS3, pupils develop the conceptual frameworks to analyse and evaluate patterns of global development.
Differentiation
| Level | What success looks like | Common errors |
| Emerging | Can recognise that some countries are richer than others but cannot explain why or use development indicators to measure differences. | Using vague language ('rich' and 'poor') without reference to specific indicators; Treating development as a simple binary rather than a spectrum |
| Developing | Can describe global patterns of development using named indicators, map their distribution, and explain some basic causes of inequality between countries. | Treating GDP per capita as a complete measure of development without considering its limitations; Not recognising that development is multi-dimensional (economic, social, political) |
| Secure | Can analyse the causes of the development gap using multiple factors (historical, physical, economic, political), evaluate strategies for reducing inequality, and use specific country examples to support arguments. | Attributing the development gap entirely to one factor (e.g. climate or corruption) without considering the interaction of multiple causes; Presenting physical factors as deterministic rather than as one influence among several |
| Mastery | Can evaluate competing theories of development, critically assess the assumptions underlying development indicators and strategies, and connect development geography to contemporary global debates with analytical sophistication. | Either accepting the concept of development uncritically or dismissing it entirely, without engaging with the strengths and limitations of both positions; Not connecting theoretical debates to real examples of alternative development approaches |
Secondary concept: Climate Change and Environmental Geography (GE-KS3-C003)
Type: Knowledge | Teaching weight: 3/6Climate change refers to long-term shifts in global temperatures and weather patterns, currently driven primarily by human emissions of greenhouse gases. Understanding climate change requires both physical geography knowledge (the mechanisms of the greenhouse effect, feedback loops, ocean circulation) and human geography knowledge (the economic and social causes of emissions, the uneven distribution of impacts and vulnerabilities, and the politics of international responses). At KS3, pupils develop understanding of climate change as a defining geographical challenge of the contemporary period, combining scientific understanding with social and political analysis.
Differentiation
| Level | What success looks like | Common errors |
| Emerging | Can identify that the climate is getting warmer and that this is connected to human activity, but cannot explain the greenhouse effect mechanism or distinguish between weather and climate. | Confusing weather (short-term conditions) with climate (long-term patterns); Describing effects of climate change without explaining the cause |
| Developing | Can explain the enhanced greenhouse effect, identify the main greenhouse gases and their sources, and describe the key consequences of climate change using specific evidence. | Confusing the ozone hole with the greenhouse effect (different phenomena with different causes); Not distinguishing between the natural greenhouse effect and the enhanced greenhouse effect |
| Secure | Can analyse the geographically differentiated impacts of climate change, explain feedback mechanisms, and evaluate different response strategies (mitigation vs adaptation) with specific examples. | Presenting climate change as having uniform impacts everywhere; Not connecting vulnerability to both physical exposure and economic capacity to adapt |
| Mastery | Can evaluate the political and economic barriers to climate action, critically assess different response strategies at multiple scales, and connect climate change to broader questions of global justice and sustainability. | Presenting the obstacles to climate action as either trivial or insurmountable, rather than as serious but addressable challenges; Not recognising the global justice dimension of climate policy |
Thinking lens: Cause and Effect (primary)
Key question: What caused this to happen, and how do we know? Why this lens fits: The cluster explicitly requires pupils to examine causes (greenhouse gas emissions) and trace consequences (rising temperatures, extreme weather, sea-level rise, ecosystem disruption) while also evaluating whether human responses are sufficient to break the causal chain. Question stems for KS3:Session structure: Case Study + Comparison Study
This study uses 2 vehicle templates:
Case Study (main structure)
An in-depth investigation of a specific real-world example, location, or scenario. Starts with locating and describing the case in context, collects and organises relevant data, analyses patterns and processes, compares with other cases where appropriate, and reaches an evaluative conclusion.
locate_and_describe → introduction → data_collection → analysis → comparison → evaluation
Assessment: Written case study report with data presentation (tables, graphs, maps), analysis of findings, and evaluative conclusion that addresses the original enquiry question.
Teacher note: Use the CASE STUDY template: introduce the case with relevant locational or contextual data. Guide pupils through systematic data collection using maps, statistics, or fieldwork records. Prompt structured analysis using appropriate geographical, scientific, or business frameworks. Expect pupils to draw comparisons, identify patterns, and evaluate the significance of their findings.
KS3 question stems:
Comparison Study
A structured comparison of two or more examples, places, periods, or perspectives. Introduces each example with sufficient context, applies a systematic comparison framework, analyses similarities and differences with supporting evidence, and reaches an evaluative conclusion about the significance of those differences.
introduce_examples → systematic_comparison → analysis → evaluation
Assessment: Comparative analysis using a structured framework (table, Venn diagram, or essay), demonstrating understanding of both examples and reaching a substantiated evaluative conclusion.
Teacher note: Use the COMPARISON STUDY template: introduce the examples with relevant contextual detail and guide pupils to develop their own criteria for comparison. Expect systematic analysis using appropriate frameworks, with attention to both similarities and differences. Prompt pupils to evaluate the significance of the comparison and consider what it reveals about broader patterns or processes.
KS3 question stems:
Study scope
Scale: National Themes: push-pull factors, megacity challenges, informal settlements, sustainable urban planning Map types: time series satellite, population density, flow map, thematic map Data sources: UN Habitat, World Bank, ONS, Lagos State Government Fieldwork potential: Local urban transect walk comparing land use, building density, and environmental quality in contrasting parts of a nearby town or city. Assessment guidance: Can pupils explain WHY Lagos is growing rapidly (push-pull factors)? Can they compare the challenges facing Lagos and London, linking to development level? Can they evaluate sustainable urban solutions for both cities?Locations
London (United Kingdom, Europe, city, local)
Development context: HIC Key physical features: River Thames, Thames estuary, London Basin geology Key human features: 9 million population, growth rate 0.5%/year, global financial centre, multicultural, average house price 15x median salaryLagos (Nigeria, Africa, city, local)
Development context: LIC Key physical features: coastal lagoon, Lagos Island, tropical climate, seasonal flooding Key human features: 16+ million population, growth rate 3.2%/year, 60% informal settlements, Nollywood, economic hubContrasting localities
Lagos vs London: Urbanisation in LIC and HIC
Contrasting Lagos and London prevents the common trap of studying only 'problem' urbanisation in LICs. Both cities face genuine challenges (housing costs, pollution, transport congestion) but of fundamentally different kinds. The comparison illuminates how development level shapes the urbanisation experience while revealing universal urban challenges.
Compare through: rate of urban growth, informal vs formal housing, transport infrastructure, economic opportunity, environmental quality, governance and planning Stimulus questions:Why this study matters
Contrasting Lagos (rapid megacity growth in a LIC) with London (managed growth in a HIC) enables pupils to explore urbanisation as a global process with radically different local manifestations. The comparison illuminates push-pull factors, informal settlement challenges, and sustainable urban planning, while avoiding the trap of studying only 'problem' urbanisation in developing countries.
Sequencing
Follows: Trade, Economic Geography and FairtradePitfalls to avoid
Sensitive content
Success criteria
Pupils can:Cross-curricular opportunities
| Link | Subject | Connection | Strength |
| Human Rights: What Are They and Why Do They Matter? | General | Housing inequality and social justice in urban contexts | Moderate |
| Ideas, Power, Industry and Empire 1745-1901 | History | Historical growth of London; colonial origins of Lagos | Moderate |
Geographical skills (KS3)
These disciplinary skills should be woven through teaching, not taught in isolation:
Vocabulary word mat
| Term | Meaning |
| adaptation | A feature or behaviour that helps a living thing survive in its environment. |
| ageing population | A demographic shift where the average age of a population increases, with a growing proportion of elderly people. |
| aid | Financial, material, or technical assistance given to countries or communities in need, often by governments or charities. |
| birth rate | The number of live births per 1,000 people in a population per year. |
| carbon dioxide | A greenhouse gas produced by burning fossil fuels and natural processes, contributing to climate change. |
| climate change | A long-term shift in global or regional temperature and weather patterns, largely driven by human activity since industrialisation. |
| colonialism | The practice of one country exerting control over another territory, exploiting its resources and people. |
| death rate | The number of deaths per 1,000 people in a population per year. |
| debt | Money owed by one country to another or to international institutions, often affecting development. |
| demographics | The statistical study of populations, including size, structure, distribution, and change over time. |
| density | The number of people or things within a given area, used to describe how crowded or sparse a region is. |
| dependency | A situation where a country or region relies heavily on another for trade, aid, or resources. |
| development | The economic and social progress of a country, measured by indicators like wealth, health, and education. |
| distribution | The way in which something is spread out or arranged across an area. |
| emissions | Substances released into the atmosphere, especially greenhouse gases from burning fossil fuels. |
| extreme weather | Weather events that are significantly different from the normal pattern, such as hurricanes, droughts, or heatwaves. |
| feedback | A process where the output of a system influences the input, either amplifying (positive) or reducing (negative) the effect. |
| fossil fuel | A fuel formed from the remains of ancient organisms, including coal, oil, and natural gas. |
| gdp | Gross Domestic Product; the total value of goods and services produced by a country in a year. |
| global warming | The gradual increase in the average temperature of the Earths atmosphere, primarily caused by greenhouse gases. |
| greenhouse effect | The natural process by which gases in the atmosphere trap heat from the sun, keeping the Earth warm enough for life. |
| greenhouse gas | A gas that traps heat in the atmosphere, contributing to the greenhouse effect, such as carbon dioxide and methane. |
| hdi | Human Development Index; a measure combining life expectancy, education, and income to rank countries by development. |
| indicator | A measurable factor used to assess or compare the level of development, health, or wealth of a country. |
| inequality | Unequal distribution of wealth, opportunities, or resources between different groups or regions. |
| life expectancy | The average number of years a person can expect to live, used as a development indicator. |
| literacy | The ability to read and write; literacy rate is used as a development indicator. |
| megacity | A very large city with a population of more than 10 million people. |
| migration | The movement of people from one place to another to live, often across national boundaries. |
| mitigation | Actions taken to reduce the severity or impact of something, especially climate change or natural hazards. |
| natural increase | The growth of a population when the birth rate exceeds the death rate, excluding migration. |
| population | The total number of people living in a particular area, country, or the world. |
| poverty | The state of being extremely poor, lacking sufficient income or resources to meet basic needs. |
| pull factor | A positive condition in a destination that attracts migrants to move there. |
| push factor | A negative condition that drives people to leave their home area. |
| refugee | A person forced to leave their country due to war, persecution, or natural disaster. |
| renewable energy | Energy from sources that are naturally replenished, such as wind, solar, and hydroelectric power. |
| sea level | The average height of the oceans surface, used as a reference point for measuring elevation. |
| suburb | A residential area on the outskirts of a city, typically less densely built than the centre. |
| sustainable development | Development that meets present needs without compromising the ability of future generations to meet theirs. |
| trade | The buying and selling of goods and services between people, regions, or countries. |
| urbanisation | The process by which an increasing proportion of a population moves to live in towns and cities. |
| vulnerability | The degree to which a population or place is susceptible to harm from a natural hazard or other threat. |
| wealth | An abundance of valuable possessions, resources, or money; the economic prosperity of a country or group. |
| rural-urban migration | |
| push-pull factors | |
| informal settlement | |
| gentrification | |
| sustainability |
Prior knowledge (retrieval plan)
Pupils should already know the following from earlier units:
| Prior knowledge needed | For concept | Description |
| Climate Zones and Biomes | Climate Change and Environmental Geography | Climate zones are large areas of the Earth characterised by similar patterns of temperature and r... |
| Settlement and Economic Geography | Population, Urbanisation and Migration | Settlements are places where people live and work, ranging from small hamlets to megacities. Thei... |
Scaffolding and inclusion (Y8)
| Guideline | Detail |
| Reading level | Established Secondary Reader (Lexile 850–1100) |
| Text-to-speech | Available |
| Vocabulary | Specialist vocabulary in each discipline. Metalanguage about text (e.g., 'the author's implicit bias') appropriate. |
| Scaffolding level | Minimal |
| Hint tiers | 3 tiers |
| Session length | 30–45 minutes |
| Feedback tone | Academic Critical |
| Normalize struggle | Yes |
| Example correct feedback | Your method is correct and your reasoning is sound. The extension question: does this generalise? Try with a different case. |
| Example error feedback | Your approach identifies the right method but fails at step 3. The error is [specific]. A complete answer would [what is required]. |
Knowledge organiser
Key terms:Graph context
Node type:GeoStudy | Study ID: GS-GE-KS3-005
Concept IDs:
GE-KS3-C004: Population, Urbanisation and Migration (primary)GE-KS3-C002: Global Development and InequalityGE-KS3-C003: Climate Change and Environmental Geography``cypher
MATCH (ts:GeoStudy {study_id: 'GS-GE-KS3-005'})
-[:DELIVERS_VIA]->(c:Concept)
-[:HAS_DIFFICULTY_LEVEL]->(dl)
RETURN c.name, dl.label, dl.description
``
Generated from the UK Curriculum Knowledge Graph — zero LLM generation.