In the United States, the crude birth rate in 1800 was 48.3 live births per thousand people, meaning that 4.8 percent of the population had been born in that year. Between 1815 and 1825 the crude birth rate jumped from 46.5 to 54.7 (possibly due to Florida becoming a part of the US, but this is unclear), but from this point until the Second World War the crude birth rate dropped gradually, reaching 19.2 in 1935. Through the 1940s, 50s and 60s the US experienced it's baby boom, and the birth rate reached 24.1 in 1955, before dropping again until 1980. From the 1980s until today the birth rate's decline has slowed, and is expected to reach twelve in 2020, meaning that just over 1 percent of the population will be born in 2020.

In Japan, the crude birth rate in 1800 was 29.6 live births per thousand people, meaning that approximately three percent of the population had been born in that year. From 1800 to 1865, Japan's crude birth rate rose gradually to around 34 births per thousand people, before dropping relatively sharply to 25 over the next ten years. This was a time of great social and economic reform in Japan, as the country became increasingly urbanized and industrialized. Japan's crude birth rate reached it's highest recorded point in the early 1920s, where the number was almost 35 births per thousand people, and since then it has been decreasing gradually. There were two times in the twentieth century where Japan's crude birth rate increased, after the Second World War, and during the period of economic prosperity in the 1960s and 70s. Since 1975, Japan's crude birth rate has gradually decreased to it's lowest recorded rate ever, and is expected to be at just 7.5 births per thousand people in 2020, making it the second lowest in the world (behind Monaco).

In France, the crude birth rate in 1800 was 29.4 live births per thousand people, meaning that 2.9 percent of the population had been born in that year. In the first half of the nineteenth century France's crude birth rate dropped from it's highest recorded level of 29.4 in 1800, to 21.9 by 1850. In the second half of the 1800s the crude birth rate rose again, to 25.5 in 1875, as the Second Republic and Second Empire were established, which was a time of economic prosperity and the modernization of the country. From then until 1910 there was a gradual decline, until the First World War caused a huge decline, resulting in a record low crude birth rate of 13.3 by 1920 (the figures for individual years fell even lower than this). The figure then bounced back in the early 1920s, before then falling again until the Second World War. After the war, France experienced a baby boom, where the crude birth rate reached 22.2, before it dropped again until the 1980s, and since then it has declined slowly. The crude birth rate of France is expected to reach a new, record low of 11.2 in 2020.

Abstract

The Integrated Public Use Microdata Series (IPUMS) Complete Count Data include more than 650 million individual-level and 7.5 million household-level records. The microdata are the result of collaboration between IPUMS and the nation’s two largest genealogical organizations—Ancestry.com and FamilySearch—and provides the largest and richest source of individual level and household data.

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Documentation

Historic data are scarce and often only exists in aggregate tables. The key advantage of historic US census data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier.

In sum: the historic US census data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.

The historic US 1920 census data was collected in January 1920. Enumerators collected data traveling to households and counting the residents who regularly slept at the household. Individuals lacking permanent housing were counted as residents of the place where they were when the data was collected. Household members absent on the day of data collected were either listed to the household with the help of other household members or were scheduled for the last census subdivision.

Notes

• We provide household and person data separately so that it is convenient to explore the descriptive statistics on each level. In order to obtain a full dataset, merge the household and person on the variables SERIAL and SERIALP. In order to create a longitudinal dataset, merge datasets on the variable HISTID.

• Households with more than 60 people in the original data were broken up for processing purposes. Every person in the large households are considered to be in their own household. The original large households can be identified using the variable SPLIT, reconstructed using the variable SPLITHID, and the original count is found in the variable SPLITNUM.

• Coded variables derived from string variables are still in progress. These variables include: occupation and industry.

• Missing observations have been allocated and some inconsistencies have been edited for the following variables: SPEAKENG, YRIMMIG, CITIZEN, AGE, BPL, MBPL, FBPL, LIT, SCHOOL, OWNERSHP, MORTGAGE, FARM, CLASSWKR, OCC1950, IND1950, MARST, RACE, SEX, RELATE, MTONGUE. The flag variables indicating an allocated observation for the associated variables can be included in your extract by clicking the ‘Select data quality flags’ box on the extract summary page.

• Most inconsistent information was not edited for this release, thus there are observations outside of the universe for some variables. In particular, the variables GQ, and GQTYPE have known inconsistencies and will be improved with the next release.

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Section 2

This dataset was created on 2020-01-10 18:46:34.647 by merging multiple datasets together. The source datasets for this version were:

IPUMS 1920 households: This dataset includes all households from the 1920 US census.

IPUMS 1920 persons: This dataset includes all individuals from the 1920 US census.

IPUMS 1920 Lookup: This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1920 datasets.

There were almost 695,000 live births recorded in the United Kingdom in 2021, compared with almost 682,000 in the previous year. Between 1887 and 2021, the year with the highest number of live births was 1920, when there were approximately 1.13 million births, while the year with the fewest births was 1977, when there were approximately 657,000 births. Birth rate falls to a historic low in 2020 At 10.2 births per 1,000 people, the birth rate of the United Kingdom in 2020 was at a historic low. After witnessing a twenty-first century high of 12.9 in 2010, the birth rate gradually declined before a sharp decrease was recorded between 2012 and 2013. Although there was a slight uptick in the birth rate in 2021, when there were 10.4 births per 1,000 people, the total fertility rate reached a low of 1.53 births per woman in the same year. As well as falling birth and fertility rates, the average age of mothers has been increasing. In 1991, the average age of mothers at childbirth was 27.7 years, compared with 30.9 years in 2021. UK population reaches 68 million In 2023, the overall population of the United Kingdom reached almost 68.3 million people. Of the four countries that comprise the UK, England has by far the highest population, at 57.7 million, compared with almost 5.5 million in Scotland, 3.2 million in Wales, and 1.9 million in Northern Ireland. These countries are far less densely populated than England, especially when compared to London, which had approximately 5,630 people per square kilometer, compared with just 70 in Scotland. After London, North West England was the second-most densely populated area of the UK, which includes the large metropolitan areas of the cities of Manchester, and Liverpool

In Germany, the crude birth rate in 1800 was 38 live births per thousand people, meaning that 3.8 percent of the population had been born in that year. In the nineteenth century, Germany's crude birth rate fluctuated between 34 and 40 births per thousand people. Since the turn of the twentieth century however, the crude birth rate has been in decline, although there were a few periods where it did increase. These increases took place during periods of economic recovery, after both world wars, and after the Great Depression. The largest period of increase was after the Second World War, and lasted until the late 1960s, before decreasing to 10.3 in 1980, where it then plateaus between eight and eleven, and it is expected to be 9.4 births per thousand people in 2020.

The data comprising the Puerto Rico Census Project, 1920 contain individual and household records drawn from the 1920 Puerto Rican Population Census. The data include variables containing basic demographic information such as age, sex, race, marital status, number of children born and surviving, family size, place of birth, immigration status, county and neighborhood of residence, urban/rural status, and citizenship. The data also describe language proficiency, literacy, school attendance, and disabilities (blind or deaf) of the individuals. Other variables provide data on occupation, industry, ownership of residence, status of mortgage, and farm ownership. There are four classifications of variables belonging to this dataset: original input variables, coded variables, constructed variables, and quality flag variables. The original input variables contain the raw data collected by the enumerators. The coded variables are variables that were recoded by the University of Wisconsin Survey Center (UWSC) as part of the Puerto Rico Census Project. Constructed variables were produced by UWSC to capture additional relevant information. For example, one constructed variable measures literacy by combining separate variables containing data on whether the individual could read and if they could write. Finally, quality flag variables were created by UWSC to indicate whether it could be logically deduced that individual records had been hand edited by the Census Office.

For most of the past two centuries, falling birth rates have been associated with societal progress. During the demographic transition, where pre-industrial societies modernize in terms of fertility and mortality, falling death rates, especially among infants and children, are the first major change. In response, as more children survive into adulthood, women have fewer children as the need to compensate for child mortality declines. This transition has happened at different times across the world and is an ongoing process, with early industrial countries being the first to transition, and Sub-Saharan African countries being the most recent to do so. Additionally, some Asian countries (particularly China through government policy) have gone through their demographic transitions at a much faster pace than those deemed more developed. Today, in countries such as Japan, Italy, and Germany, birth rates have fallen well below death rates; this is no longer considered a positive demographic trend, as it leads to natural population decline, and may create an over-aged population that could place a burden on healthcare systems.

Enhanced birth registrations 1920 data which resulted from Transcribe Nova Scotia, the Nova Scotia Archives’ collaborative online workspace where the public can participate in enhancing access to archival collections documenting over 300 years of Nova Scotia history, people, and culture.

The Women's Voter Register Dataset is created from Election Department registers used to register women voters in 1920 after the passage of the 19th Amendment. The dataset contains information about newly registered women voters including name, address, place of birth, occupation, place of work, naturalization information, and closest male relative. This dataset is in progress and is updated periodically as additional voter registers are transcribed.

POOR QUALITY AUDIO.Musa Abd al-Karim (born in 1907, from Bethlehem) is interviewed by Sahdi Saber - 26 May 1995.Talks about the Ottoman period and how the Ottomans used to steal food and wheat from local people to feed the army; discusses the great snow of 1920 which lasted for a whole month causing great difficulties and shortages of food; during the great snow people used to keep warm by buring wood fires; many houses in Bethlehem were ruined by the great snow such as that of Musa Khalil in the souq.Original audio recording: cassette tape.Transcript: summary.In the original collection at Bethlehem University this cassette tape was categorised as File 19 of Box 19.This fileset exists as part of the 1920 Great Snow & 1927 Earthquake collection within the Bethlehem University Oral History project of the Planet Bethlehem Archive.

The purpose of an admission register was to record basic details about children admitted to the school, and about their parents or guardians. The registers were also used to record the progress of the children through various classes and the date of their leaving the school.

The series from Topi Topi Public School is currently represented by its last two volumes, which record admissions to the school from 1920 until its closure in 1962. These volumes contain information pertaining to each pupil including: date of admission; pupil's name, date of birth and religious denomination; name of previous school and date of leaving. The following details are recorded about the child's parents or guardians: name, residence and occupation. The pupil's date of admission to each subsequent grade and date of leaving the school are also recorded. The format of the volumes makes provision to record any occupation entered into by the pupil on leaving school, but over time this column comes to be used rather to indicate the school to which a pupil may have transferred.

The earlier surviving volume was apparently commenced in 1920, and its earliest entries record those enrolments current in that year. Of twenty-nine admissions recorded before the end of that year, eighteen have the words “no record” entered under “Date of Admission.” This seems to indicate that the school’s earlier records may have been lost or destroyed by this time, a conclusion which finds further support from the circumstance that no other series surviving from this school includes material from earlier than 1920.

Girls and boys are listed on opposite pages in order of admission, and, until 1949, are numbered in two distinct sequences, commencing at the beginning of the volume. From 1950 onwards, the numbering of the girls’ entries is assimilated to that of the boys’ sequence, and this numbering is continued until 1961. The earlier volume concludes at this point, and the entries for those pupils whose enrolments were still current in 1961 are transferred to the final volume, in which they retained their original entry-numbers. In 1962, however, a new system of numbering was adopted, in which the numbering of entries commenced anew at the start of each year, and the last two digits of the year-number were added to the entry-number as a suffix. This numbering has been applied retrospectively to all the entries in the final volume. Only one new admission is recorded in this volume after 1961.

Enhanced birth registrations 1920 data which resulted from Transcribe Nova Scotia, the Nova Scotia Archives’ collaborative online workspace where the public can participate in enhancing access to archival collections documenting over 300 years of Nova Scotia history, people, and culture.

In 1875, the crude birth rate in Bulgaria was 36.5 births per thousand inhabitants; this meant that approximately 3.7 percent of the entire population had been born in that year. This number fluctuated over the next three decades, but there was an overall increase to 43 births per thousand people by 1905. From this point until the end of the century, Bulgaria's crude birth rate decreased by roughly 35 births, to just 8.3 in the year 2000. The fastest decline came in the 1920s and 1930s, and Bulgaria did not experience the global baby boom of the mid-1900s in the same way that most other countries did. There was a slight increase in Bulgaria's birth rate in the 1970s, and again in the early 2000s. In 2020, Bulgaria's birth rate is just nine births per thousand people.

In Russia, the crude birth rate in 1840 was just over 48 live births per thousand people, meaning that approximately 4.8 percent of the population had been born in that year. Throughout the nineteenth century, Russia's crude birth rate remained between 48 and 52, and fell to 43.4 in the late 1920s. From 1930 to 1945, the Soviet Union's crude birth rate dropped greatly, from 43.4 to 18.2, as a result of the Second World War (although it did increase in the late 1930s, in the early stages of the war). Russia did experience a baby boom after the war, and the birth rate did not fall to its pre-war level gain until the late 1960s. From 1970, the birth rate increased slightly to 16.2 in 1990, before the end of communism and dissolution of the Soviet Union caused the crude birth rate to fall to its lowest recorded level over the next decade, to 8.9 in 2000. Since the turn of the millennium, the crude birth rate of Russia has increased steadily, and was expected to be 12.8 in 2020.

From the mid-19th century until today, life expectancy at birth in the United States has roughly doubled, from 39.4 years in 1850 to 79.6 years in 2025. It is estimated that life expectancy in the U.S. began its upward trajectory in the 1880s, largely driven by the decline in infant and child mortality through factors such as vaccination programs, antibiotics, and other healthcare advancements. Improved food security and access to clean water, as well as general increases in living standards (such as better housing, education, and increased safety) also contributed to a rise in life expectancy across all age brackets. There were notable dips in life expectancy; with an eight year drop during the American Civil War in the 1860s, a seven year drop during the Spanish Flu empidemic in 1918, and a 2.5 year drop during the Covid-19 pandemic. There were also notable plateaus (and minor decreases) not due to major historical events, such as that of the 2010s, which has been attributed to a combination of factors such as unhealthy lifestyles, poor access to healthcare, poverty, and increased suicide rates, among others. However, despite the rate of progress slowing since the 1950s, most decades do see a general increase in the long term, and current UN projections predict that life expectancy at birth in the U.S. will increase by another nine years before the end of the century.

Three birth cohorts (1920–1929, 1940–1949 and 1960–1969) (highlighted) are selected to represent three different generations.

A global phenomenon, known as the demographic transition, has seen life expectancy from birth increase rapidly over the past two centuries. In pre-industrial societies, the average life expectancy was around 24 years, and it is believed that this was the case throughout most of history, and in all regions. The demographic transition then began in the industrial societies of Europe, North America, and the West Pacific around the turn of the 19th century, and life expectancy rose accordingly. Latin America was the next region to follow, before Africa and most Asian populations saw their life expectancy rise throughout the 20th century.

The fertility rate of a country is the average number of children that women from that country will have throughout their reproductive years. In the United States in 1800, the average woman of childbearing age would have seven children over the course of their lifetime. As factors such as technology, hygiene, medicine and education improved, women were having fewer children than before, reaching just two children per woman in 1940. This changed quite dramatically in the aftermath of the Second World War, rising sharply to over 3.5 children per woman in 1960 (children born between 1946 and 1964 are nowadays known as the 'Baby Boomer' generation, and they make up roughly twenty percent of todays US population). Due to the end of the baby boom and increased access to contraception, fertility reached it's lowest point in the US in 1980, where it was just 1.77. It did however rise to over two children per woman between 1995 and 2010, although it is expected to drop again by 2020, to just 1.78.

The table shows gene, gene description, correlation coefficient R (Spearman’s Rho), non-adjusted p-value and Benjamini-Hochberg-adjusted p-value (FDR).