# Demographic and Statistical History History I · Historical Sources · https://tryals.app/learn/history-i/demographic-and-statistical-history ## Counting the Uncounted Before the 19th century, states counted populations for **taxing** and **conscripting**. Every pre-modern number was produced by a process the counted had reasons to defeat. **Ask what the count was for, and the direction of the bias follows.** | Source | Made for | Systematic distortion | |---|---|---| | Tax rolls | Extraction | **Under-count:** people hide | | Muster rolls | Conscription | **Under-count:** sons vanish | | Parish registers | Religion | Miss unbaptized & mobile | | Bills of mortality | Plague policy | Guesswork causes of death | **Family reconstitution** links parish baptisms, marriages, and burials person by person. This uncovers age at first marriage, birth intervals, and infant mortality. In north-west Europe, women married late (24–26). Since marital fertility was uncontrolled, **the age of marriage was the population's brake**. ## The Multiplier Problem If you have 400 hearths in 1377 and use a household size multiplier of 4.0 to 5.5, your population swings from 1,600 to 2,200—**a 38% range before accounting for evasion.** $$\text{baptisms} + \text{marriages} + \text{burials} \;\xrightarrow{\;\text{linkage}\;}\; \text{fertility, mortality}$$ **The honest practice:** report assumptions with the number. Give a range rather than a point. **A spurious decimal place is not precision; it is a claim about evidence you do not have.** North-west Europe's control loop was unobserved at the time: couples waited for a viable household before marrying. Population responded to the economy through the wedding, discovered centuries later by re-linking records kept for souls. ## Practice questions 7 of this lesson's 11 practice questions, with answers. The full set is in the app. ### 1. What did family reconstitution reveal about north-west European demography? A. Age at marriage acted as the population’s brake without contraception B. Deliberate family limitation within marriage was widespread C. A large proportion never married at all D. Women married late, typically at 24–26 **Answer:** A. Age at marriage acted as the population’s brake without contraception; C. A large proportion never married at all; D. Women married late, typically at 24–26 **Why:** Late marriage, high celibacy, and the wedding as the brake. Fertility _within_ marriage was largely uncontrolled, which is exactly why the age of marriage mattered so much. Page: https://tryals.app/practice/history-i/demographic-and-statistical-history/what-did-family-reconstitution-reveal-about-north-west-european ### 2. Parish registers were kept for religious reasons with no demographic intent. Why can that make them better evidence for population history than a contemporary census? A. Because registers cover a longer span than any census B. Because a record kept for another purpose is not shaped by it C. Because parish clergy were more numerate than census officials D. Because baptism and birth are the same event **Answer:** B. Because a record kept for another purpose is not shaped by it **Why:** Incidental evidence carries less of the collector’s agenda. It brings its own distortions — baptism lags birth, the unbaptised vanish — but they are not aligned with the historian’s hypothesis. Page: https://tryals.app/practice/history-i/demographic-and-statistical-history/parish-registers-were-kept-for-religious-reasons-with-no-demographic ### 3. Put the steps of family reconstitution in order. **Answer:** 1. Transcribe baptism, marriage, and burial registers 2. Link records referring to the same individuals 3. Assemble linked individuals into families 4. Derive ages at marriage, birth intervals, and mortality 5. Aggregate parishes into national population estimates **Why:** Thousands of hand-linked records per parish to recover measurements no source ever recorded. Brutal, and it reversed a central assumption about how European populations worked. Page: https://tryals.app/practice/history-i/demographic-and-statistical-history/put-the-steps-of-family-reconstitution-in-order ### 4. Family reconstitution links baptisms, marriages and burials into individual life histories. Which group does the method systematically lose? A. Migrants, who cannot be distinguished from the dead B. Infants, whose burials were often unrecorded C. The wealthy, who were more likely to marry outside the parish D. Nobody; the method captures the whole parish population **Answer:** A. Migrants, who cannot be distinguished from the dead **Why:** A person who leaves and a person who dies unrecorded look identical in one parish's books, so complete families are disproportionately sedentary ones. It biases the results toward stable rural populations, which is why reconstitution findings on fertility must be read alongside evidence about mobility. Page: https://tryals.app/practice/history-i/demographic-and-statistical-history/family-reconstitution-links-baptisms-marriages-and-burials-into ### 5. Household multipliers for medieval hearth taxes are usually estimated between 4.0 and 5.5. Using 5.5, what population would 400 hearths give? **Answer:** 2200 people (within ±100) **Why:** Two thousand two hundred, versus 1,600 at the low multiplier. Same 400 hearths, same document, 600 people of difference produced by nothing but a choice of assumption. This is why the honest output is a range, not a point. Page: https://tryals.app/practice/history-i/demographic-and-statistical-history/household-multipliers-for-medieval-hearth-taxes-are-usually-estimated ### 6. Sort each measurement: **recorded directly** by parish registers, or **recovered only by reconstitution**? **Answer:** - Recorded directly: The date of a baptism, The date of a burial, The names of a marrying couple - Recovered by reconstitution: A woman’s age at first marriage, The interval between a couple’s births, Completed family size and infant mortality **Why:** The left column is what a priest wrote. The right column is what emerges only when you link the columns back together, data nobody collected, extracted from records nobody kept for the purpose. Page: https://tryals.app/practice/history-i/demographic-and-statistical-history/sort-each-measurement-recorded-directly-by-parish-registers-or ### 7. Pre-modern tax rolls can be read as approximate censuses of the population. **Answer:** False **Why:** A tax roll’s purpose, viewed from below, is to be defeated, it systematically undercounts, and by an unknown amount. Reading it as a census imports the state’s extraction machinery into your demography and calls the result a fact. Page: https://tryals.app/practice/history-i/demographic-and-statistical-history/pre-modern-tax-rolls-can-be-read-as-approximate-censuses-of-the