Population Geography I: Sources of Data, World Distribution and Growth, the Demographic Transition, and the Theories of Malthus, Sadler and Ricardo

Unit V is two syllabuses in one — population geography and settlement geography — and this platform gives it four chapters, two for each. This first chapter takes the opening half of the population block: sources of population data and their reliability, the distribution of world population (measures, patterns and determinants), world population growth from prehistoric to modern times, the demographic transition, and the three theories of population growth the document names — Malthus, Sadler and Ricardo. NET Economics Unit 9 covers population theory and demographic measures from the economist's side; this chapter is written from the geographer's — data, density, distribution and spatial pattern — and does not reuse that material.

1. Sources of population data, and their reliability and errors

The census is the complete enumeration of a population at a given moment. A de facto census counts people where they are found on the census night; a de jure census counts them where they usually live. India's first census was taken in 1872, but non-synchronously; the first synchronous census was in 1881, and a census has followed every ten years since. The 2011 census was the fifteenth overall and the seventh after independence; the census due in 2021 was postponed, and in 2025 the Government notified the next census with a reference date of 1 March 2027. Between censuses, sample surveys fill the gaps — the National Sample Survey (since 1950), the National Family Health Survey (first round 1992–93; NFHS-5 in 2019–21) — and vital statistics record births, deaths and marriages as they occur, through the Civil Registration System (under the Registration of Births and Deaths Act, 1969) and the Sample Registration System, a large continuous sample survey that has given India's birth, death and infant mortality rates since the late 1960s.

Every source has errors, and the document asks about data reliability and errors explicitly. Coverage errors are people missed (under-enumeration — often the homeless, migrants and infants) or counted twice. Content errors are wrong answers from people who were counted: age misreporting, occupation misclassification, confusion over literacy. The best known is age heaping or digit preference — a tendency to report ages ending in 0 or 5 — which is measured by Whipple's index (100 means no preference, 500 means every age reported ends in 0 or 5) and by Myers' blended index for all ten digits. Registration of births and deaths is incomplete in many developing countries, which is why India relies on the SRS for vital rates. Census offices check coverage with a post-enumeration survey, a re-count of a sample of areas soon after the census.

2. World population distribution: measures, patterns and determinants

MeasureDefinitionWhat it reveals
Arithmetic densityTotal population ÷ total areaA crude average that hides empty deserts and crowded valleys
Physiological densityTotal population ÷ arable (cultivated) landPressure on the land that feeds people; very high in Egypt, where people crowd the Nile valley
Agricultural densityAgricultural population ÷ arable landHow many farmers work each unit of farmland — high in less mechanised economies
Man–land ratio and concentration indicesLorenz curve, index of concentration, centre of populationHow unevenly people are spread across units

World population passed 8 billion in November 2022 by the UN's estimate, and in 2023 India overtook China as the most populous country. The distribution is strikingly uneven: about nine-tenths of humanity lives in the Northern Hemisphere, and three great concentrations — East Asia, South Asia and Europe — together with a smaller one in north-eastern North America hold most of it, while deserts, high mountains, the boreal forest, the tundra and the equatorial rainforests are sparsely peopled. The determinants are physical (relief and altitude, climate, water, soil fertility), economic (agricultural productivity, minerals, industrialisation, urbanisation and transport), social and political (culture, policy, conflict) and historical — the long agrarian settlement of the great river valleys of Asia explains densities that modern economics alone would not predict. Geographers read these densities alongside the concept of ecumene (permanently inhabited land) and anecumene (uninhabited land).

3. World population growth and the demographic transition

For most of human history growth was almost nil. When agriculture began some 10,000 years ago the world held perhaps 5 to 10 million people; by the start of the Common Era, perhaps 250 to 300 million. The first billion was reached only around 1804; then the intervals shrank — 2 billion in 1927, 3 billion in 1960, 4 billion in 1974, 5 billion in 1987, 6 billion in 1999, 7 billion in 2011 and 8 billion in 2022. The annual growth rate peaked at a little over 2 per cent in the late 1960s and has since roughly halved. Growth at a constant rate is exponential, Pt = P0 × e^(rt), and the doubling time is approximately 70 ÷ r (the "rule of 70", with r in per cent): at 2 per cent a population doubles in about 35 years, at 1 per cent in about 70.

The demographic transition model, sketched by Warren Thompson (1929) and formalised by Frank Notestein (1945), generalises the European experience of moving from high to low birth and death rates.

StageBirth rateDeath rateGrowth and examples
1 High stationaryHighHigh, fluctuatingSlow; pre-industrial societies
2 Early expandingHighFalling fastRapid — the population explosion; many least developed countries
3 Late expandingFallingLow and still fallingSlowing; India and much of Latin America
4 Low stationaryLowLowNear zero; most developed countries
5 Declining (added later)Below the death rateLow, rising with ageingNegative; Japan, Italy, parts of eastern Europe
🎯 Why the transition in developing countries was faster and steeper
In Europe death rates fell slowly over a century as living standards rose. In Asia, Africa and Latin America after 1945 they fell within two or three decades because vaccines, antibiotics, DDT and public-health methods were imported ready-made, while birth rates, tied to social institutions, stayed high. The gap produced growth far faster than Europe ever experienced — the main criticism of the model as a predictive law rather than a description.

4. Theories of population growth: Malthus, Sadler and Ricardo

Thomas Robert Malthus, An Essay on the Principle of Population (1798, much revised in 1803), argued that population, when unchecked, increases in a geometric ratio (1, 2, 4, 8, 16) while subsistence increases at most in an arithmetic ratio (1, 2, 3, 4, 5). Population is therefore held down by checks. Positive checks raise the death rate — famine, disease, war, misery. Preventive checks lower the birth rate — above all moral restraint, meaning the postponement of marriage with chastity before it, which Malthus stressed in the second edition; he also recognised "vice". Critics point out that he underestimated technological change in agriculture and the voluntary fall of fertility that came with prosperity; neo-Malthusians — Paul Ehrlich's The Population Bomb (1968), the Club of Rome's The Limits to Growth (1972) — revived his argument in terms of resources and environment, and Ester Boserup (1965) inverted it, arguing that population pressure is what drives agricultural intensification.

Michael Thomas Sadler — the document names him correctly — was a Tory social reformer and one of Malthus's fiercest contemporary critics. In The Law of Population (1830) he argued that human fecundity is not constant but varies inversely with density: as population becomes denser on a given area and society more prosperous and civilised, fertility falls of its own accord, so population regulates itself without Malthus's misery. Thomas Doubleday (1841) made a related, nutrition-based claim — that well-fed populations are less fertile. David Ricardo approached population through economics. In On the Principles of Political Economy and Taxation (1817) he joined Malthusian population growth to the law of diminishing returns in agriculture: as population grows, cultivation extends to less fertile land, food costs more and rent rises. Wages gravitate towards a subsistence level — the idea later called the iron law of wages — because if wages rise above subsistence, the labouring population increases, the supply of labour grows and wages fall back; if they fall below it, population shrinks until wages recover.

ThinkerKey workCore claim
MalthusAn Essay on the Principle of Population (1798)Geometric population against arithmetic food; positive and preventive checks
SadlerThe Law of Population (1830)Fertility varies inversely with density and prosperity; population is self-regulating
RicardoPrinciples of Political Economy and Taxation (1817)Diminishing returns raise rent; wages tend to subsistence through population response
Marx (for contrast)Capital (1867)No universal law of population; "surplus population" is a reserve army of labour created by capitalism
Optimum population theoristsCannan, Robbins, Carr-SaundersThe size at which output per head is maximised, given resources and technology

Key takeaways

  • Census (de facto or de jure; India synchronous since 1881), sample surveys (NSS, NFHS) and vital registration (CRS, SRS) are the sources; coverage and content errors — age heaping measured by Whipple's and Myers' indices — limit reliability.
  • Arithmetic density uses total area, physiological density arable land, agricultural density farm population on arable land; nine-tenths of people live in the Northern Hemisphere, concentrated in East Asia, South Asia and Europe.
  • One billion around 1804, eight billion in 2022; growth peaked just above 2 per cent in the late 1960s; doubling time ≈ 70 ÷ r.
  • Demographic transition (Thompson, Notestein): high stationary, early expanding (death rate falls), late expanding (birth rate falls), low stationary, and a later-added declining stage; faster and steeper in developing countries.
  • Malthus: geometric against arithmetic growth, positive and preventive checks; Sadler: fertility inversely related to density; Ricardo: diminishing returns, rising rent and subsistence wages.

Practice questions (10)

Attempt each one before opening the answer. Every explanation names the tempting wrong option as well as the right one, because that is where marks are lost.

  1. Physiological density is defined as:

    1. Total population divided by total area
    2. Urban population divided by built-up area
    3. Total population divided by the area of arable land
    4. Agricultural population divided by total area
    Show answer

    Answer: C — Total population divided by the area of arable land

    Physiological density relates the whole population to the land that can be cultivated, and so measures pressure on productive land. Total area gives arithmetic density; agricultural population on arable land gives agricultural density.
  2. The first synchronous census of India was conducted in:

    1. 1951
    2. 1901
    3. 1872
    4. 1881
    Show answer

    Answer: D — 1881

    The 1872 census was taken at different times in different regions; 1881 was the first taken synchronously across British India, and censuses have followed every ten years since. 1951 was the first after independence.
  3. Using the rule of 70, in how many years will a population growing at 2 per cent a year double? Type a number.

    Numerical answer — type the value.

    Show answer

    Answer: 35

    Doubling time ≈ 70 ÷ r = 70 ÷ 2 = 35 years. The rule comes from ln 2 ≈ 0.693 in the exponential growth formula Pt = P0 e^(rt).
  4. In the second (early expanding) stage of the demographic transition:

    1. Both rates are low and growth is near zero
    2. The death rate falls sharply while the birth rate stays high, so growth is rapid
    3. Both birth and death rates are high and growth is slow
    4. The birth rate falls below the death rate
    Show answer

    Answer: B — The death rate falls sharply while the birth rate stays high, so growth is rapid

    Stage 2 is the population explosion: improved food supply, sanitation and medicine cut mortality while fertility is still governed by traditional norms. High rates for both describe stage 1, low rates for both stage 4, and births below deaths the declining stage.
  5. Which of the following did Malthus classify as a preventive check?

    1. Moral restraint through postponement of marriage
    2. War
    3. Epidemic disease
    4. Famine
    Show answer

    Answer: A — Moral restraint through postponement of marriage

    Preventive checks reduce births; moral restraint — delayed marriage with chastity before it — is the one Malthus emphasised. Famine, disease and war are positive checks, which operate by raising deaths.
  6. Michael Thomas Sadler's answer to Malthus in The Law of Population (1830) was that:

    1. Wages always tend to the level of subsistence
    2. Surplus population is created by capitalism
    3. Food supply increases geometrically
    4. Human fertility varies inversely with the density of population
    Show answer

    Answer: D — Human fertility varies inversely with the density of population

    Sadler held that as a population grows denser and more prosperous its fecundity declines, so it regulates itself without misery. The subsistence-wage idea is Ricardo's, and surplus population as a product of capitalism is Marx's.
  7. In Ricardo's analysis, population growth leads to rising rent because:

    1. Moral restraint reduces the supply of labour
    2. Landlords form monopolies in growing cities
    3. Cultivation extends to less fertile land under diminishing returns
    4. Fertility falls as density rises
    Show answer

    Answer: C — Cultivation extends to less fertile land under diminishing returns

    As more food is needed, poorer land is brought under the plough; the better land then earns a surplus over the marginal land, which is Ricardian differential rent. Falling fertility with density is Sadler's argument, and moral restraint is Malthus's.
  8. Which of the following are content errors rather than coverage errors in census data? Select all that apply.

    1. Counting a migrant worker at both origin and destination
    2. Heaping of reported ages on numbers ending in 0 and 5
    3. Omission of homeless people from the count
    4. Misclassification of a worker's occupation
    Show answer

    Answer: B — Heaping of reported ages on numbers ending in 0 and 5; D — Misclassification of a worker's occupation

    Content errors are wrong information about people who were counted, such as misreported ages and occupations. Missing the homeless (under-enumeration) and double-counting migrants are coverage errors — errors in who was counted.
  9. Assertion (A): Death rates in many developing countries fell far faster after 1945 than they had in nineteenth-century Europe. Reason (R): Vaccines, antibiotics, insecticides and public-health methods were imported ready-made rather than developed locally over a long period. Choose the correct option.

    1. Both A and R are true, and R is the correct explanation of A
    2. Both A and R are true, but R is not the correct explanation of A
    3. A is true, but R is false
    4. A is false, but R is true
    Show answer

    Answer: A — Both A and R are true, and R is the correct explanation of A

    Both are true and R explains A. Imported mortality-reducing technology cut death rates within decades, independently of economic development — which is also why the demographic transition in those countries produced faster growth than Europe's.
  10. Whipple's index is used in population geography to measure:

    1. Preference for reporting ages ending in 0 or 5
    2. The ratio of dependants to workers
    3. The speed of the demographic transition
    4. The concentration of population across districts
    Show answer

    Answer: A — Preference for reporting ages ending in 0 or 5

    Whipple's index compares the number of people reporting ages ending in 0 or 5 (usually between 23 and 62) with the number expected; 100 means no heaping and 500 means every such age ends in 0 or 5. It is a check on the accuracy of age data.