APHUG module 9/10
1. Population dynamics: the big picture
Population dynamics = how human populations grow and change. Population is fluid, meaning it can increase, decrease, or stay stable.
Births and immigration add people; deaths and emigration remove people.
Ending population = starting population + births − deaths + immigrants − emigrants.
Population grew rapidly after the Industrial Revolution because deaths—especially infant/child deaths—fell while births remained high.
Better food, sanitation, clean water, and medicine lowered deaths.
Population measures help reveal a place’s living standards, development, age structure, and future needs.
2. Know these measures and formulas
Measure | What it tells you | Formula / key number |
|---|---|---|
CBR | Annual live births per 1,000 total people | Births ÷ midyear population × 1,000 |
CDR | Annual deaths per 1,000 total people | Deaths ÷ midyear population × 1,000 |
TFR | Average children per woman during reproductive years | Usually ages 15–49 |
IMR | Deaths before age one per 1,000 live births | Uses live births, not total population |
RNI | Annual natural population change as a percentage | (CBR − CDR) ÷ 10 |
Doubling time | Years for population to double | 70 ÷ RNI (%) |
Live birth = a baby born alive.
For CBR/CDR, count births/deaths for the whole year, but use the midyear population.
“Crude” means the measure uses everyone without adjusting for age/sex differences.
These measures can apply to countries or smaller areas.
3. Birth-rate categories
Low: 10–20 per 1,000. Common in developed, industrialized, urbanized areas; North America, Europe, and much of Asia and Latin America. Your class notes also list Oceania.
Transitional: 20–30 per 1,000. Examples: Algeria, Egypt; Belize, Guatemala, Honduras, Haiti, Bolivia; Jordan, Syria, Israel; most Central Asian countries, Pakistan, Mongolia.
High: above 30 per 1,000 in the textbook. Common in sub-Saharan Africa. Your class sheet phrases it as 30+.
CBR varies with age-sex composition, economic development, and expectations about family size.
More women of childbearing age generally → higher CBR.
4. TFR and replacement fertility
TFR measures children per woman; CBR measures annual births per 1,000 people.
TFR is better for comparing reproduction because it focuses on women, indicates average family size, and helps predict population changes.
Replacement fertility = 2.1: enough children to replace both parents over time.
It is slightly above two because some children do not survive to adulthood.
Sustained below-replacement fertility → eventual natural decrease; replacement fertility → eventual stability. Changes are not immediate, and migration also matters.
Examples: Niger 7.2, compared with Europe 1.6; Bulgaria 1.6, with a textbook projection of 28% population loss by 2050.
5. Five factors affecting fertility
Economic development: Better contraception access and lower child mortality generally → fewer children. Agricultural families may want children for farm labor.
Religion/culture: Traditions may encourage large families or discourage birth control. But Italy and Spain had TFRs of 1.3 despite Catholic traditions.
Education: More education and paid work for women generally → smaller families. Your class notes especially emphasize this.
Gender roles: Expectations that men/women should have many children can raise fertility.
Government policies: Birth restrictions lower fertility; financial incentives and maternity leave can encourage births. China’s restrictions since the 1970s are the textbook example.
6. Death rates: watch the age structure
A high CDR does not automatically mean poor health care. Older populations naturally have more deaths.
Developed countries may have higher CDRs but better health care than younger, less-developed countries.
Bulgaria and Latvia: High CDRs associated with aging.
Sub-Saharan Africa: Higher deaths associated with poverty, disease, and war.
U.S., Canada, Australia: Young immigrants help keep CDR lower.
Bahrain, Kuwait, Oman, Qatar, UAE: Textbook CDRs of only 1–2 per 1,000.
Death rates have generally declined as living conditions and medical technology improve. Your class notes give global life expectancy as approximately 73–74 years.
7. Infant mortality: living standards
IMR = deaths under age one; child mortality = deaths under age five.
IMR is considered the best single indicator of living standards because it reflects health, nutrition, sanitation, education, housing, and medical access.
More-developed countries → lower IMR; less-developed countries → higher IMR.
Clean water, sanitation, and health care—especially prenatal care—help reduce deaths.
Textbook examples: about 5 per 1,000 in more-developed countries; commonly 50–70 in sub-Saharan African countries.
Source difference: Your class notes give average world IMR as 28; the textbook gives 31. Keep the source straight.
8. RNI and zero population growth
Births > deaths → positive RNI → natural increase.
Deaths > births → negative RNI → natural decrease.
Births = deaths → RNI 0% → zero population growth (ZPG).
RNI excludes ALL migration. Immigration can offset natural decrease.
Birth rates vary more between countries than death rates, so high birth rates usually explain high RNI.
China: (12 − 7) ÷ 10 = 0.5%.
Nigeria: (39 − 12) ÷ 10 = 2.7%.
ZPG does not mean no births/deaths or an unchanged age structure. Aging can cause labor shortages and slower economic growth.
9. Doubling time and the rule of 70
Doubling time = result; rule of 70 = calculation method.
70 ÷ growth percentage = approximate years to double.
U.S.: 70 ÷ 0.3 ≈ 233 years.
Nigeria: 70 ÷ 2.6 ≈ 27 years.
Use 0.3 for 0.3%, not 0.003.
Faster growth → shorter doubling time.
The textbook calculation uses RNI, so it excludes migration and assumes the rate stays constant.
A doubling population needs services for twice as many people: water, housing, jobs, education, health care.
The book uses 2.7% for Nigeria’s RNI example but 2.6% for its doubling example.
10. Demographic Transition Model (DTM)
Shows how birth rates, death rates, and natural growth change as countries industrialize and urbanize.
Deaths fall first → growth speeds up. Births fall later → growth slows.
Stage | Births and deaths | Population result |
|---|---|---|
1: High stationary | Both high | Little growth |
2: Early expanding | Deaths fall; births stay high | Rapid growth |
3: Late expanding | Births fall toward low death rates | Growth slows |
4: Low stationary | Both low and similar | Little growth; aging |
5: Natural decrease | Births below deaths | Negative RNI |
Stage 3 still grows: births remain above deaths, but the gap gets smaller.
Stages 1 and 4 both have little growth, but Stage 1 has high rates and Stage 4 has low rates.
Examples: many sub-Saharan countries—Stage 2; developing countries—Stage 3; developed countries—Stage 4; Japan/Germany—likely Stage 5.
Sweden and Mexico broadly follow the pattern at different times; their real graphs have ups and downs rather than smooth lines.
Origins: Warren Thompson, 1929; Frank Notestein, 1945; based mainly on Northern Europe.
Limitations: countries can stall, skip stages, or reverse. Examples: China’s one-child policy accelerated transition; Angola/Afghanistan’s conflicts raised deaths; wealthy Oman retained relatively high fertility.
11. Epidemiological transition
Abdel Omran’s theory: Better living standards and health care change the main causes of death.
General shift: infectious/parasitic/nutritional diseases → chronic/degenerative diseases, with more deaths occurring at older ages.
Phase | Key idea |
|---|---|
1: Pestilence and famine | Epidemics; high, fluctuating deaths; life expectancy 20–40 |
2: Receding pandemics | Sanitation/medicine improve; deaths fall; life expectancy about 50 |
3: Degenerative and human-made diseases | Chronic diseases dominate; deaths mainly at older ages; life expectancy 70+ |
4: Delayed degenerative diseases | Treatment/lifestyle changes delay deaths; obesity and type 2 diabetes remain problems |
Originally three phases; scholars added the fourth.
Black Death: Killed about one-third of Europe in the mid-1300s—an epidemic example.
Many sub-Saharan countries—Phase 2; textbook examples for Phase 3 include developed countries, South Korea, and South Africa.
Cancer, heart disease, stroke, dementia illustrate chronic/degenerative diseases.
COVID-19, HIV/AIDS, Ebola, and measles outbreaks show infectious threats can return; progress is not guaranteed.
DTM asks: How do birth/death rates and growth change? Epidemiological transition asks: What are people dying from?