Here is a headline that sounds like science fiction but is happening right now: some countries are quietly paying couples to have babies. Governments are offering cash bonuses, extended parental leave, and housing subsidies — not to slow population growth, but to stop it from shrinking. Meanwhile, on the other side of the planet, other governments spent decades doing the exact opposite, urging families to have fewer children.
How can the world be worried about too many people and too few people at the same time?
The answer is that these countries are standing at different points along the same path. Population does not just go up. It rises, slows, levels off, and — for a growing club of nations — begins to fall. Geographers mapped this path decades ago and turned it into one of the most tested tools on the AP exam: the Demographic Transition Model. Learn to read it, and a country's birth rate, death rate, and even the shape of its population pyramid stop being random numbers. They become a story about where that country has been and where it is going.
Before you can track how a population changes, you need the vocabulary of demographers — the specialists who measure it.
The crude birth rate (CBR) is the number of live births per 1,000 people in a population per year. The crude death rate (CDR) is the number of deaths per 1,000 people per year. They are called "crude" because they ignore the age and sex structure of the population — they just count bodies against the total. That crudeness matters: a country full of retirees can post a high CDR even if it has excellent healthcare, simply because it has a lot of old people who are naturally nearer the end of life.
Subtract the two and you get growth. The natural increase rate (NIR) is the percentage by which a population grows in a year through births and deaths alone — no migration counted. The formula is worth memorizing:
NIR = (CBR − CDR) ÷ 10, expressed as a percent.
Why divide by 10? Because CBR and CDR are measured per 1,000, but a percent is per 100. If a country has a CBR of 30 and a CDR of 10, its NIR is (30 − 10) ÷ 10 = 2.0% per year. That "natural" is important — the NIR deliberately excludes immigration and emigration, so it isolates the effect of births and deaths.
From the NIR you can estimate doubling time, the number of years a population needs to double at its current growth rate. The quick shortcut is the rule of 70: divide 70 by the NIR (as a percent). A 2.0% NIR means a doubling time of about 35 years. A tiny change in growth rate produces a huge change in doubling time — the difference between a manageable future and a straining one.
Two more rates finish the toolkit. The total fertility rate (TFR) is the average number of children a woman would have over her lifetime at current birth rates. Roughly 2.1 is the replacement level — the TFR needed to keep a population stable long term (2 to replace the parents, plus a fraction to cover children who do not survive to adulthood). Above 2.1, a population grows on its own; below it, the population is set to shrink unless immigration fills the gap. The infant mortality rate (IMR) is the number of deaths of children under one year old per 1,000 live births. IMR is one of geography's most powerful signals of development, because a low IMR requires clean water, trained medical staff, nutrition, and sanitation all working together.
Now assemble these rates into a story. The Demographic Transition Model (DTM), developed from the experience of industrializing European countries, describes how a population's birth and death rates change as a society modernizes. It has four core stages, plus a debated fifth.
Stage 1 — High Stationary. Both CBR and CDR are high, and they roughly cancel out, so natural increase is very low and unstable. This is the pre-industrial world: subsistence farming, frequent famine, disease, and no modern medicine. Birth rates are high because children are needed as farm labor and because many die young. No country is in Stage 1 today — it describes most of human history until about 1750.
Stage 2 — Early Expanding. Here the CDR falls sharply while the CBR stays high. Better food supply, improved sanitation, clean water, and the spread of medicine (vaccination, antibiotics) suddenly keep people alive who would have died. But birth rates have not adjusted yet — families still have many children out of habit, tradition, and economic need. The gap between a high CBR and a plunging CDR produces the fastest population growth of any stage. This is the stage of population "explosion."
Real World: Many countries in Sub-Saharan Africa sit in Stage 2 or the early part of Stage 3. Death rates dropped quickly in the twentieth century as vaccines and antibiotics arrived from abroad, but birth rates have come down more slowly — producing rapid growth and very young populations.
Stage 3 — Late Expanding. Now the CBR falls and begins to catch up with the low CDR, so growth slows down. Why do birth rates fall? The reasons are a checklist the AP loves: urbanization (children are an expense in cities, not free farm labor), women's education and entry into the workforce, falling infant mortality (parents no longer need "extra" children as insurance), and access to contraception. Population still grows, but the rate is easing off.
Real World: Much of Latin America and parts of South and Southeast Asia are in Stage 3. Birth rates have dropped substantially within a generation as cities grew and girls' schooling expanded, though populations are still climbing.
Stage 4 — Low Stationary. Both CBR and CDR are low, so natural increase is again very low — but this time at a modern, stable level rather than a pre-industrial one. TFR hovers near or just below replacement. Populations are large and slow-growing, and the age structure is much older than in Stage 2. Most highly developed countries — across Western Europe, North America, and parts of East Asia — sit here.
Stage 5 — Declining (debated). Some geographers add a fifth stage in which the CBR falls below the CDR, so natural increase turns negative and the population declines and ages rapidly. Deaths outnumber births not because of catastrophe but because so few babies are being born while the population grows old. Countries often cited as fitting a Stage 5 pattern include Japan and several in Eastern and Southern Europe. Stage 5 is debated because the original model only had four stages, and some argue immigration or policy could reverse the decline — so treat it as a proposed extension, not settled fact.
Running parallel to the DTM is the epidemiological transition, developed by Abdel Omran, which tracks what people die of at each stage. Early on (Stage 1–2), the big killers are infectious and parasitic diseases — plagues, cholera, and famine. As countries develop (Stage 3–4), those recede and deaths shift toward chronic and degenerative diseases — heart disease and cancer — the "diseases of affluence" that show up when people live long enough to get them. Some scholars propose a further stage marked by the reemergence of infectious disease through antibiotic resistance and rapid global travel. The lesson: the DTM's falling death rate is not just a number — it reflects a real change in the causes of death.
The DTM describes what happens. The oldest debate in population geography is about what it means. In 1798, Thomas Malthus argued that population grows exponentially (2, 4, 8, 16…) while food supply grows only arithmetically (1, 2, 3, 4…), so population must eventually outstrip food and be checked by famine, disease, and war. Neo-Malthusians update the argument beyond food to all resources — water, energy, arable land — warning that rapid growth in Stage 2 countries strains the planet.
The most important counterargument comes from Ester Boserup, who flipped Malthus around: population pressure spurs innovation. When there are more mouths to feed, people intensify agriculture, invent new techniques, and grow more food — "necessity is the mother of invention." The historical record has largely embarrassed Malthus's timeline: the Green Revolution and modern agriculture let food production outpace population for two centuries. But neo-Malthusians reply that no growth is infinite, and that some regions genuinely do bump against local carrying capacity. On the AP exam, you should be able to argue both sides.
Finally, remember the golden rule of this course: models are lenses, not laws. The DTM was built from the experience of Western Europe, and it does not fit everyone. In Europe, death rates fell because of internal industrial development over a century; in many developing countries, death rates fell fast because medicine was imported from abroad, so their Stage 2 growth was even steeper than the model predicted. The DTM also assumes societies move only forward, ignores migration entirely (it uses natural increase), and cannot forecast exactly when a country's birth rate will drop. Use it to explain patterns — but always name its limits.
What it shows. The DTM is a line graph. Time (or level of development) runs along the horizontal axis. Two curves run across it: the CBR and the CDR, both measured per 1,000 people. The vertical gap between the two curves is the natural increase — the total population line (often drawn separately) rises fastest where that gap is widest.
How to read each stage. Track the two curves, not the population line: - Stage 1: both lines high and roughly together (small gap) → low growth. - Stage 2: the death rate line dives while the birth rate line stays high → the gap yawns open → fastest growth. - Stage 3: the birth rate line now drops toward the low death rate → the gap narrows → growth slows. - Stage 4: both lines low and close together → low growth again. - Stage 5: the birth rate line crosses below the death rate line → the gap inverts → population declines.
What the AP asks you to do. The classic task is: given a country's rates or a described curve, place it in a stage and justify. Justification means naming which rate is doing what and why — "Stage 2 because the death rate has fallen sharply due to improved sanitation and medicine while the birth rate remains high." A stage number with no reasoning earns little credit.
Common student mistakes. The single biggest error is confusing Stage 2 and Stage 3. Both are growing, both have a wide gap between the curves — but the engine is different. In Stage 2 the death rate is falling; in Stage 3 the birth rate is falling. A second mistake is reading the population line instead of the two rate lines and concluding a Stage 4 country is "shrinking" because its curve has flattened — flat is not falling. Watch the birth and death curves themselves.
Scenario 1 — Place the country. A country reports a high crude birth rate, a crude death rate that has dropped rapidly over the past thirty years, a very high natural increase rate, and a young, fast-growing population. Where does it sit?
Identify the pattern: high births, rapidly falling deaths, wide gap, fast growth. Name the model: the DTM. Apply it: this is Stage 2 (Early Expanding) — the falling death rate (from imported medicine, better food, and sanitation) has opened a large gap over the still-high birth rate. Scale it: at the national scale the government faces pressure to build schools and create jobs for a youth bulge; at the global scale, most of the world's Stage 2 countries cluster in Sub-Saharan Africa, which is why global population growth is now concentrated there even as it slows elsewhere.
Scenario 2 — Distinguish the neighbor. A second country also has a growing population, but here the crude death rate is already low and stable, while the crude birth rate has been falling fast as cities expand and more women complete secondary school and enter the workforce.
Identify: deaths already low; the birth rate is the one now dropping. Name and apply: this is Stage 3 (Late Expanding) — the defining move is the falling birth rate driven by urbanization and women's education, not a falling death rate. The trap is to call it Stage 2 just because it is still growing. Scale it: at the regional scale you would expect this pattern across much of Latin America and parts of Asia.
Scenario 3 — Read the pyramid. A third country's population pyramid is narrow at the base, bulges in the middle-aged bands, and is unusually wide at the top among the elderly. Its TFR sits below replacement.
Identify: few children, many elderly, below-replacement fertility. Name and apply: a narrow base plus a top-heavy shape signals very low births and an aging population — a Stage 4 or Stage 5 country. If deaths now exceed births, it is the Stage 5 (Declining) pattern. Scale it: at the local scale, towns face closing schools and empty homes; at the national scale, a shrinking workforce must support a growing retired population — which is exactly why some governments now pay families to have children.
Trap 1 — Stage 2 vs. Stage 3 (the death rate vs. birth rate trap). Both stages have growing populations and a wide gap between the curves, so students mix them constantly. Keep it straight with one question: which rate is dropping? Stage 2 = the DEATH rate is falling (birth rate still high). Stage 3 = the BIRTH rate is falling (death rate already low). Death first, then birth — in that order.
Trap 2 — CBR/CDR vs. NIR vs. TFR. These sound interchangeable and are not. CBR and CDR are raw counts per 1,000 people. NIR is the difference between them, turned into a growth percentage. TFR is a per-woman lifetime measure of childbearing, not a per-1,000 count. A country can have a modest CBR but a TFR revealing whether it is above or below the 2.1 replacement line.
Trap 3 — "Natural increase" includes migration. It does not. The NIR is births minus deaths only. A country can have a low or even negative NIR yet still grow overall because of immigration. If a question mentions migrants, the NIR is not the whole story.
Trap 4 — Malthus vs. Boserup. Malthus = pessimist; population outruns food and gets checked by disaster. Boserup = optimist; population pressure drives innovation so food keeps up. If a prompt argues growth causes catastrophe, that is Malthusian (or neo-Malthusian); if it argues growth sparks new farming technology, that is Boserup.
1. (A) NIR = (28 − 8) ÷ 10 = 2.0%. (B) misplaces the decimal; (C) forgets to divide by 10; (D) wrongly adds the two rates. Fix: NIR = (CBR − CDR) ÷ 10, as a percent.
2. (C) TFR is an average number of children per woman. (A), (B), and (D) are all measured per 1,000 people (IMR per 1,000 live births). Fix: TFR = children per WOMAN; CBR/CDR/IMR = per 1,000.
3. (A) Stage 2 growth comes from a sharply falling death rate against a still-high birth rate. (B) is wrong — birth rates do not rise; (C) describes low-growth stages; (D) confuses natural increase, which excludes migration. Fix: Stage 2 = DEATH rate falls (births still high).
4. (B) About 2.1 is the replacement level for a stable population. (A) invents a maximum; (C) links it to the wrong stage; (D) is false — the global average is different and changing. Fix: TFR ≈ 2.1 = replacement level.
Questions 5–6 refer to the following described graph (quantitative stimulus).
A demographic transition graph shows two curves for a single country from 1900 to 2020. The death-rate curve starts high, drops steeply between about 1920 and 1960, then flattens at a low level. The birth-rate curve remains high until about 1970, then begins a steep decline, ending close to — but still above — the death-rate curve in 2020.
5. (C) By 2020 the birth rate has fallen steeply toward the low death rate but is still above it — growth is slowing: Stage 3. (B) Stage 2 would still have a high birth rate; (D) Stage 5 requires the birth rate to cross below the death rate. Fix: birth rate falling toward a low death rate = Stage 3.
6. (A) The widening gap between a falling death rate and a high birth rate marks the fastest growth (Stage 2). (B) a widening gap is growth, not decline; (C) a stable population needs the curves close together; (D) the graph shows natural rates, not migration. Fix: widest gap between the curves = fastest growth (Stage 2).
7. (D) Urbanization, women's education, and contraception drive the Stage 3 birth-rate decline. (A) explains the falling death rate of Stage 2, not birth rate; (B) describes Stage 1 mortality; (C) would raise, not lower, births. Fix: falling BIRTHS (Stage 3) = urbanization + women's education + contraception.
8. (B) Development shifts the leading causes of death from infectious/parasitic to chronic/degenerative disease. (A) reverses the direction; (C) and (D) are not the transition Omran described. Fix: epidemiological transition = infectious → chronic/degenerative (Omran).
Question 9 refers to the following passage (qualitative stimulus).
A demographer writes: "In this nation, the fields no longer need every child's hands. Families are moving to the capital, girls now finish secondary school in large numbers, and clinics distribute contraception freely. Couples are choosing to have two children where their grandparents had six. Death rates settled at a low level a generation ago."
9. (D) Falling births from urbanization, girls' education, and contraception, with death rates already low, defines Stage 3. (B) Stage 2 would still have high births; (A) and (C) do not fit an actively falling birth rate. Fix: deaths already low + births now falling = Stage 3.
10. (C) Boserup argued population pressure spurs agricultural innovation. (A) and (B) are Malthus's claims; (D) is a neo-Malthusian policy stance, not Boserup. Fix: Boserup = necessity drives innovation (optimist); Malthus = population outruns food (pessimist).
11. (A) Imported medicine made death rates fall faster than in industrial Europe, so Stage 2 growth was steeper than the original model. (B) reverses reality; (C) is false — they do not skip Stage 2; (D) the DTM does not account for migration. Fix: imported medicine → faster/steeper Stage 2 than the European original.
12. (B) Rural schools closing as children decline is a local-scale consequence. (A) a shrinking national labor force is national, not local; (C) a family decision is local/individual, not global; (D) a single town is local, not global. Fix: match the consequence to its true scale (schools closing = local).
13. (B) Falling death rate + high birth rate = Stage 2 (X); low stable death rate + falling birth rate = Stage 3 (Y). (A), (C), and (D) misassign the defining rate. Fix: which rate is dropping? death → Stage 2; birth → Stage 3.
14. (C) NIR = (CBR − CDR) ÷ 10, as a percent. (A) it excludes migration; (B) it subtracts, not adds; (D) it can be negative in Stage 5. Fix: NIR subtracts (not adds), excludes migration, can go negative.
15. (D) A wide base, narrow top, and high TFR indicate many births and a young population — Stage 2. (A) Stage 4 has a narrower base; (B) Stage 5 has a narrow base; (C) emigration would not by itself widen the base. Fix: wide base + high TFR = Stage 2 (young, fast-growing).
Free Response Rubric (7 points)
| Part | Verb | Point earned for |
|---|---|---|
| A | Identify | Naming Stage 2 (Early Expanding) |
| B | Describe | Stating low/falling death rate + high birth rate + wide gap (no reason needed) |
| C | Explain | A mechanism for why death rates fall first (medicine, sanitation, food) |
| D | Explain | One explained reason birth rates later fall (urbanization, women's education, lower IMR, or contraception) |
| E | Explain | Linking a wide-based pyramid to high births + surviving children |
| F | Explain | One explained DTM limitation (imported medicine/faster transition, ignores migration, assumes forward-only, cannot time the birth-rate drop) |
| G | Analyze | Connecting national growth to the global pattern (growth concentrated in less developed regions) |
Acceptable phrasing is generous on wording but strict on the action verb: each "explain" point requires a stated cause or mechanism, not a restated observation.
FRQ 2 on the real exam gives you one stimulus — a graph, map, or image — and asks you to analyze and apply it. Read the stimulus below carefully, then answer all parts. Notice how the action verbs change what you must do for each point.
Stimulus (a described Demographic Transition Model diagram). The diagram is a standard DTM graph with two curves plotted against time. The crude death rate curve begins very high on the left, then falls steeply through the middle of the graph before flattening at a low level on the right. The crude birth rate curve begins very high and stays high well past the point where the death rate has dropped, then falls steeply near the right side, ending low and close to the death-rate curve. A vertical dashed line labeled "Country A's current position" is placed at the point where the death rate has already fallen to a low level but the birth rate is only just beginning to decline — the gap between the two curves is at its widest at this line.
Question.
(A) Identify the stage of the Demographic Transition Model at which Country A's current position is located.
(B) Describe the relationship between the crude birth rate and the crude death rate at Country A's current position, as shown in the stimulus.
(C) Explain why the crude death rate falls before the crude birth rate as a country moves through the early stages of the DTM.
(D) Explain ONE reason the crude birth rate eventually begins to fall in the stage that follows Country A's current position.
(E) Explain how the age structure of Country A's population — as it would appear on a population pyramid — reflects its current position on the DTM.
(F) Explain ONE limitation of using the DTM to predict the demographic future of a country like Country A.
(G) Analyze how population change at Country A's current position connects to a pattern at the global scale.
(A) Identify — 1 point. Country A is in Stage 2 (Early Expanding) of the DTM. (The death rate has fallen to a low level while the birth rate is still high, producing the widest gap — the defining feature of Stage 2.)
(B) Describe — 1 point. At Country A's position, the crude death rate is low (it has already fallen steeply) while the crude birth rate remains high, so there is a large gap between the two curves.
Action-verb callout — DESCRIBE: You only need to state what the stimulus shows — high birth rate, low death rate, wide gap. No reason is required for this point. Do not waste time explaining here; save that for the "explain" parts.
(C) Explain — 1 point. The death rate falls first because improvements arrive that keep people alive before families change their childbearing habits: better food supply, improved sanitation and clean water, and the spread of medicine (vaccination, antibiotics) sharply reduce deaths, especially among infants. Birth rates, tied to tradition, farm-labor needs, and slow-changing social norms, take longer to respond — so deaths drop while births stay high.
Action-verb callout — EXPLAIN: Here you must give a mechanism — the "because." Naming the causes of falling death rates (medicine, sanitation, food) earns the point; simply restating that "the death rate falls" does not.
(D) Explain — 1 point. The birth rate eventually falls because of urbanization — in cities, children are an economic cost rather than free farm labor, so families choose to have fewer. (Any ONE valid, explained reason earns the point: women's education and workforce participation, falling infant mortality reducing the need for "extra" children, or access to contraception.)
(E) Explain — 1 point. Country A's high birth rate and falling death rate produce a population pyramid with a very wide base — a large share of children and young people — because many babies are being born and now surviving. This youthful age structure is exactly what a Stage 2 position on the DTM predicts.
Action-verb callout: The point requires linking the pyramid shape (wide base) to the cause (high births + surviving children). A shape with no reasoning is a description, not an explanation.
(F) Explain — 1 point. One limitation: the DTM was built from industrial Europe's history, where death rates fell slowly over a century, but in countries like Country A death rates fell rapidly because medicine was imported from abroad — so the model may misjudge the timing and steepness of the transition. (Other acceptable limitations, explained: the DTM ignores migration; it assumes societies only move forward; it cannot predict exactly when the birth rate will drop.)
(G) Analyze — 1 point. At the global scale, most countries in Stage 2 today are concentrated in Sub-Saharan Africa and parts of South Asia. Because these are the fastest-growing populations, global population growth is now concentrated in the less developed regions even as growth slows in Stage 4 and Stage 5 countries — shifting the world's population balance toward the developing world.
Action-verb callout — ANALYZE: You must connect components across a scale — link Country A's national-level growth to the worldwide pattern and explain its significance. A local-only answer misses the point.
Total: 7 points.
Multiple Choice
1. (A) NIR = (28 − 8) ÷ 10 = 2.0%. (B) misplaces the decimal; (C) forgets to divide by 10; (D) wrongly adds the two rates. Fix: NIR = (CBR − CDR) ÷ 10, as a percent.
2. (C) TFR is an average number of children per woman. (A), (B), and (D) are all measured per 1,000 people (IMR per 1,000 live births). Fix: TFR = children per WOMAN; CBR/CDR/IMR = per 1,000.
3. (A) Stage 2 growth comes from a sharply falling death rate against a still-high birth rate. (B) is wrong — birth rates do not rise; (C) describes low-growth stages; (D) confuses natural increase, which excludes migration. Fix: Stage 2 = DEATH rate falls (births still high).
4. (B) About 2.1 is the replacement level for a stable population. (A) invents a maximum; (C) links it to the wrong stage; (D) is false — the global average is different and changing. Fix: TFR ≈ 2.1 = replacement level.
5. (C) By 2020 the birth rate has fallen steeply toward the low death rate but is still above it — growth is slowing: Stage 3. (B) Stage 2 would still have a high birth rate; (D) Stage 5 requires the birth rate to cross below the death rate. Fix: birth rate falling toward a low death rate = Stage 3.
6. (A) The widening gap between a falling death rate and a high birth rate marks the fastest growth (Stage 2). (B) a widening gap is growth, not decline; (C) a stable population needs the curves close together; (D) the graph shows natural rates, not migration. Fix: widest gap between the curves = fastest growth (Stage 2).
7. (D) Urbanization, women's education, and contraception drive the Stage 3 birth-rate decline. (A) explains the falling death rate of Stage 2, not birth rate; (B) describes Stage 1 mortality; (C) would raise, not lower, births. Fix: falling BIRTHS (Stage 3) = urbanization + women's education + contraception.
8. (B) Development shifts the leading causes of death from infectious/parasitic to chronic/degenerative disease. (A) reverses the direction; (C) and (D) are not the transition Omran described. Fix: epidemiological transition = infectious → chronic/degenerative (Omran).
9. (D) Falling births from urbanization, girls' education, and contraception, with death rates already low, defines Stage 3. (B) Stage 2 would still have high births; (A) and (C) do not fit an actively falling birth rate. Fix: deaths already low + births now falling = Stage 3.
10. (C) Boserup argued population pressure spurs agricultural innovation. (A) and (B) are Malthus's claims; (D) is a neo-Malthusian policy stance, not Boserup. Fix: Boserup = necessity drives innovation (optimist); Malthus = population outruns food (pessimist).
11. (A) Imported medicine made death rates fall faster than in industrial Europe, so Stage 2 growth was steeper than the original model. (B) reverses reality; (C) is false — they do not skip Stage 2; (D) the DTM does not account for migration. Fix: imported medicine → faster/steeper Stage 2 than the European original.
12. (B) Rural schools closing as children decline is a local-scale consequence. (A) a shrinking national labor force is national, not local; (C) a family decision is local/individual, not global; (D) a single town is local, not global. Fix: match the consequence to its true scale (schools closing = local).
13. (B) Falling death rate + high birth rate = Stage 2 (X); low stable death rate + falling birth rate = Stage 3 (Y). (A), (C), and (D) misassign the defining rate. Fix: which rate is dropping? death → Stage 2; birth → Stage 3.
14. (C) NIR = (CBR − CDR) ÷ 10, as a percent. (A) it excludes migration; (B) it subtracts, not adds; (D) it can be negative in Stage 5. Fix: NIR subtracts (not adds), excludes migration, can go negative.
15. (D) A wide base, narrow top, and high TFR indicate many births and a young population — Stage 2. (A) Stage 4 has a narrower base; (B) Stage 5 has a narrow base; (C) emigration would not by itself widen the base. Fix: wide base + high TFR = Stage 2 (young, fast-growing).
Free Response Rubric (7 points)
| Part | Verb | Point earned for |
|---|---|---|
| A | Identify | Naming Stage 2 (Early Expanding) |
| B | Describe | Stating low/falling death rate + high birth rate + wide gap (no reason needed) |
| C | Explain | A mechanism for why death rates fall first (medicine, sanitation, food) |
| D | Explain | One explained reason birth rates later fall (urbanization, women's education, lower IMR, or contraception) |
| E | Explain | Linking a wide-based pyramid to high births + surviving children |
| F | Explain | One explained DTM limitation (imported medicine/faster transition, ignores migration, assumes forward-only, cannot time the birth-rate drop) |
| G | Analyze | Connecting national growth to the global pattern (growth concentrated in less developed regions) |
Acceptable phrasing is generous on wording but strict on the action verb: each "explain" point requires a stated cause or mechanism, not a restated observation.
HumanGeoIQ · Lesson 5 of 30 · Unit 2 — Population and Migration Patterns and Processes (12–17%). Educational study material aligned to the AP Human Geography Course and Exam Description. "AP" and "Advanced Placement" are trademarks of the College Board, which does not sponsor or endorse this product. Uses qualitative demographic language rather than specific statistics. Content pending external geography review.