By the end you can
- Study the distribution of human population on Earth.
- Use demographic information to compare two societies.
- Describe the growth of the world's population.
- Explain why and how populations move.
Unit 3 Β· Culture Β· Lesson 3.1 Demographics
By the end you can
This whole quiz leans on one math skill β reading a rate like "12.5 per 1,000" and knowing what to do with it. If rates feel slippery, this clears that up before the vocabulary piles on.
A rate is just a ratio someone has agreed to measure a certain way. "Births per 1,000 people" isn't special β it's the same idea as miles per hour, just applied to population.
If a town of 1,000 has 12 births this year, its birthrate is 12. If a city of 2,000,000 has the same birthrate, it had 24,000 births β same ratio, bigger group.
Birthrate minus death rate works because both are already "per 1,000." You can't subtract a percent from a per-1,000 rate without converting one of them first.
"The population doubled" (a multiplier, Γ2) is a different kind of statement than "the growth rate is 12.5 per 1,000" (a rate). This quiz specifically tests whether you can tell them apart.
A town has 1,000 people and a birthrate of 15. About how many births happened this year?
15 β a birthrate of 15 per 1,000 applied to exactly 1,000 people is just 15 births.
Got it now? Scroll back up and re-read the section β it should land differently.
The lesson opens with a story: Rabbit Nation starts with 1,000 rabbits. During the year, 1,000 more are born and 100 die. Do the arithmetic straight: 1,000 + 1,000 β 100 = 1,900 rabbits by year's end.
That's a net gain of 900 rabbits over a starting population of 1,000 β a 90% natural increase for the year (900 Γ· 1,000).
Don't trust the course's own labels here until you've done the arithmetic yourself β that's the whole point of this card.
Start: 1,000. Born: +1,000. Died: β100. That's all the information in the story.
1,000 + 1,000 = 2,000. Then 2,000 β 100 = 1,900. That's the ending population.
Ending minus starting: 1,900 β 1,000 = 900. Divide by the starting number: 900 Γ· 1,000 = 0.9 = 90%.
If Rabbit Nation had started with 2,000 rabbits instead of 1,000, with the same 1,000 births and 100 deaths, would the natural-increase rate still be 90%?
No β the rate depends on the starting population. With 2,000 start + 1,000 born β 100 died = 2,900 end, net gain 900 Γ· 2,000 = 45%, not 90%. The actual counts matter, not just "births minus deaths."
Got it now? Scroll back up and re-read the section β it should land differently.
The lesson's own narration calls the birth count a "birthrate of 2.0," the death count a "death rate of 0.1," and 2.0 β 0.1 a "growth rate of 1.9." Those labels don't match the standard births per 1,000 population statistic the lesson uses correctly later (see the next card) β applied that way, this same story would be a birthrate of 1,000 per 1,000 and a death rate of 100 per 1,000.
What 1.9 actually is: the ending population as a multiple of the starting population β 1,900 Γ· 1,000 = 1.9Γ. That's an ending multiplier, not a rate. If a quiz question uses the story's own wording and asks for "the growth rate" of Rabbit Nation, the course's expected answer is 1.9 β just know that what you're really reporting is how many times bigger the population got, not a standard demographic rate.
This card exists because the lesson genuinely uses a confusing shortcut. Here's the untangling.
It calls the 1,000 births a "birthrate of 2.0," the 100 deaths a "death rate of 0.1," and 2.0 β 0.1 = 1.9 a "growth rate."
2.0 is "how many rabbits exist per original rabbit after births" (2,000 Γ· 1,000). 1.9 is "how many rabbits exist per original rabbit at year's end" (1,900 Γ· 1,000). Both are multipliers, not rates.
If a question literally asks "what is the growth rate in the Rabbit Nation story," the expected answer is 1.9 β because that's what the course calls it. You just now know what that number represents.
In your own words, what's the difference between "the population multiplied by 1.9" and "the growth rate is 1.9 per 1,000"?
"Multiplied by 1.9" means the ending population is 1.9 times the starting population β a size comparison. "1.9 per 1,000" would mean a true rate, which 1.9 in this story is not.
Got it now? Scroll back up and re-read the section β it should land differently.
Here's the standard version, used correctly later in the same lesson: birthrate is genuinely stated per 1,000 people, and it's a ratio you can work forward or backward from a real headcount. The course's own worked example: a country with a birthrate of 12.5 and a population of 22 million had 275,000 births that year.
The math: 12.5 Γ· 1,000 = 0.0125. Multiply by the population: 22,000,000 Γ 0.0125 = 275,000.
Growth rate from births and deaths alone (birthrate minus death rate) is sometimes called the natural increase rate β it leaves out migration. A country's total population growth also depends on its migration rate, so "subtract death rate from birthrate" only tells you the natural piece, not the whole picture.
The lesson's own three-choice question asks which statement is true: (A) Utah has a larger population than Bangladesh, (B) Bangladesh is geographically larger than Utah, or (C) Bangladesh has more people in less space than Utah. The correct answer is C β Bangladesh's population (in the hundreds of millions) is vastly larger than Utah's (a few million), and Bangladesh packs that population into a much smaller area, making it one of the most densely populated countries on Earth. Utah, by contrast, is one of the more sparsely populated U.S. states.
The lesson does make one genuine comparison point: Utah has the highest birthrate and fertility rate of any U.S. state, which the lesson calls "relatively close" to Bangladesh's. That comparison is about rates, not population size or density β a reminder that population density (people per unit of area) is a separate measurement from birthrate, fertility rate, or total population, and they don't automatically move together.

This is the course's full worked comparison, and it's exactly the shape a quiz question is likely to copy. The numbers:
β’ Population density: Germany 230 people/kmΒ², Indonesia 122 people/kmΒ² β Germany is more crowded by this measure, even with far fewer total people.
β’ Birthrate: Germany 8.2 per 1,000, Indonesia 19.65 per 1,000 β Indonesia's is more than double.
β’ Death rate: Germany 10.71, Indonesia 6.25 (both per 1,000).
β’ Migration rate: Germany +2.18 (positive β more people arriving), Indonesia β1.27 (negative β more people leaving).
β’ Growth rate: Germany β0.033% (shrinking), Indonesia +1.213% (growing).
Put together: Germany's population is aging and shrinking, held roughly level only by people moving in. Indonesia's population is young and growing from births, even though more people are leaving than arriving.

A migration rate is immigrants minus emigrants per 1,000 people. Every person who moves is simultaneously an emigrant (leaving one place) and an immigrant (arriving in another) β the same move, counted from two sides.
Push factors are reasons to leave a place β war, persecution, overcrowding, high unemployment. Pull factors are reasons to go toward a place β jobs, favorable climate, political stability.
When push factors are extreme β war, persecution, government relocation β people are coerced into leaving. That's forced migration, also called displacement. Most migration, though, is voluntary migration: people choosing to leave because the push and pull are strong enough.
The course's own numbers: New York City loses about 211,000 people a year to domestic migration (strong push: crowding, high cost of living, long commutes), while Atlanta gains roughly 31,000 a year (pull: more space, lower living costs, even though average wages are lower there).

In 1950, about 70% of the world's population was rural and less than 30% was urban. The course describes the share of the world living in urban areas as having climbed since then, and expects it to keep climbing. The process of a society becoming more city-oriented is urbanization.
Two engines drive it, per the course: industrialization moves jobs into cities (factories need workers, workers need factories β a self-reinforcing cycle), and culture pulls people too (more to do, more people to meet).
The United States is the course's own example of strong urbanism β a culture centered on dense living, working, and recreation β even though the country still has wide-open rural land. Most Americans, per the course, now live inside one metropolitan area or another, where a city center spreads out through suburbs and satellite towns.
City life has upsides the course names β cultural mixing, tolerance, opportunity β and downsides: crowding, cost pressure, and more friction between different groups of people living close together.
The last time world population actually decreased, per the course, was the 1300s, during the Black Death β a pandemic that killed an estimated 75 million people, including about a third of Europe. Growth sped up dramatically after the Industrial Revolution: it had taken centuries to double the population before then, but the 18th century managed it in about 100 years. In the 20th century, the course states, population doubled twice: from 1.5 billion (1900) to 3 billion (1960), then to 6 billion (2000). The course states world population passed 7 billion in 2011.
This pattern β death rate falling first as a society industrializes, with birthrate staying high a while longer, producing a population boom in between β is demographic transition. Eventually birthrate falls too, usually because raising children gets more expensive, and the population levels off again at a much larger size.

A cartogram distorts the area of countries to represent something other than land size β population, GDP, energy use. Look at the world population and GDP cartogram below: countries don't just change color, their actual shapes balloon or shrink. China and India swell hugely on the population map because of their populations, not their land area.
Compare that with an ordinary thematic map, like the population-growth-rate map further down this card: every country keeps its real size and shape, and only the color changes to show the data. That's the test β a cartogram resizes shapes; a thematic map just recolors them.


The one-sentence test: do the country shapes actually change size, or just color?
Countries like China and India look huge on the population cartogram β not because their land area changed, but because the map stretched them to represent how many people live there.
Every country still looks like its real shape. Only the color changes, from dark purple (shrinking) to bright green (fast growing).
Shape changes = cartogram. Only color changes = thematic map. Same information could theoretically go on either kind of map, but only a cartogram distorts the shapes.
Got it now? Scroll back up and re-read the section β it should land differently.
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