This Special Licence Access dataset contains names and addresses from the Integrated Census Microdata (I-CeM) dataset for England and Wales for 1921. These data are made available under Special Licence (SL) access conditions due to commercial sensitivity.
The anonymised main I-CeM database that complements these names and addresses is available under End User Licence access: SN 9281, Integrated Census Microdata (I-CeM), England and Wales, 1921. See the catalogue record for 9280 for details on how to access the EUL data.
Further information about I-CeM can be found on the "https://www.campop.geog.cam.ac.uk/research/projects/icem/"> I-CeM Integrated Microdata Project and webpages.
File format
These data are available in delimited .txt format. Due to the size of the file, it has been zipped in '.7z' format to ease download delivery. The file can be easily unzipped using open-source 7-Zip software or similar packages. Users may need to take advice from their organisation's IT service.
From 1821 until 2011, the male and female populations of the 26 counties of the modern-day Republic of Ireland grew at a relatively similar rate, however some fluctuations did occur. During this time, the entire island of Ireland was a part of the United Kingdom of Great Britain and Ireland, after both islands were united by the Acts of Union in 1800. This graph shows the populations of the 26 counties that would later form the Republic of Ireland in 1921, and does not include the six counties that became known as Northern Ireland.
As we can see, both populations follow a relatively similar trend throughout their respective histories. In the first three entries, women outnumber men by 70,000 to 120,000, although these figures do not include military personnel which would narrow this margin. Both populations fall at a similar rate during and after the famine, however the male population does fall slightly faster, possibly due to an increased rate of emigration among males. Another point where both populations differ is in the early twentieth century, where the female population declines in a relatively smooth curve, although the male populations peak in the census data before and after both world wars. From 1956 onwards both populations follow a very similar trend, and grow at the same rate. The difference in population sizes never exceeds 30,000 people, until the final entry in 2011 where the population of men is 2.27 million and the population of women is 2.31 million.
The UNI-CEN Digital Boundary File Series facilitates the mapping of UNI-CEN census data tables. Boundaries are provided in multiple formats for different use cases: Esri Shapefile (SHP), geoJson, and File Geodatabase (FGDB). SHP and FGDB files are provided in two projections: NAD83 CSRS for print cartography and WGS84 for web applications. The geoJson version is provided in WGS84 only. The UNI-CEN Standardized Census Data Tables are readily merged to these boundary files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.
The UNI-CEN Digital Boundary File Series facilitates the mapping of UNI-CEN census data tables. Boundaries are provided in multiple formats for different use cases: Esri Shapefile (SHP), geoJson, and File Geodatabase (FGDB). SHP and FGDB files are provided in two projections: NAD83 CSRS for print cartography and WGS84 for web applications. The geoJson version is provided in WGS84 only. The UNI-CEN Standardized Census Data Tables are readily merged to these boundary files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Census: Population: Jammu and Kashmir: Leh: Female data was reported at 9,201.000 Person in 03-01-2011. This records a decrease from the previous number of 10,867.000 Person for 03-01-2001. Census: Population: Jammu and Kashmir: Leh: Female data is updated decadal, averaging 1,792.500 Person from Mar 1911 (Median) to 03-01-2011, with 10 observations. The data reached an all-time high of 10,867.000 Person in 03-01-2001 and a record low of 1,219.000 Person in 03-01-1921. Census: Population: Jammu and Kashmir: Leh: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC018: Census: Population: By Towns and Urban Agglomerations: Ladakh.
The UNI-CEN Digital Boundary File Series facilitates the mapping of UNI-CEN census data tables. Boundaries are provided in multiple formats for different use cases: Esri Shapefile (SHP), geoJson, and File Geodatabase (FGDB). SHP and FGDB files are provided in two projections: NAD83 CSRS for print cartography and WGS84 for web applications. The geoJson version is provided in WGS84 only. The UNI-CEN Standardized Census Data Tables are readily merged to these boundary files. For more information about file sources, the methods used to create them, and how to use them, consult the documentation at https://borealisdata.ca/dataverse/unicen_docs. For more information about the project, visit https://observatory.uwo.ca/unicen.
Although the Census of Population was a regular decennial function since 1871, the Census of Agriculture had not been conducted in such a frequency. A census of Production, virtually Agricultural production was taken in 1921 and was followed by a partial censuses in 1924 and 1929. At these censuses. particulars of crop areas, livestock numbers, and production were recorded at village level.
In more recent times the Census of Agriculture had been conducted in 1946, 52, 62 and 73. At the '46 census, a plot-wise enumeration was undertaken of all blocks of land throughout the country, on which there existed at the time or had previously existed any kind of cultivation. This was the first comprehensive census of agriculture in Sri Lanka in recent times.
A deviation from this pattern of parcel-wise enumeration was first attempted at the 1952 census, but difficulties in completely enumerating the villages selected in the sample restricted the use of the census data on small holdings. The 1962 census, enumerated all holdings not less than 50 acres on a complete basis and a sample of 10 percent in the case of holdings less than 50 acres. In 1973 the larger holdings and all estates were completely enumerated for detailed information on the various characteristics and operations while a sample of small holdings were scientifically selected and enumerated.
National Coverage Urban, Rural and Estate
The basic unit of enumeration was in this census was the operational holding (as distinct from the ownership holding) which was defined as all land and/or livestock used wholly or partly for agriculture production irrespective of title size legal form or location and is operated under one operational status.
The Census of Agriculture covered the entire island excluding the MC's of Colombo and Dehiwela-Mt. Lavinia which are predominantly residential and commercial areas where agricultural activity is insignificant.
The listing of holdings (other than estates) were carried out separately on a complete enumeration basis. Holdings were listed by house to house visit using the Census of Population frame. A list of estates were also prepared at the time of the population census which was updated to reflect the position in 1982.
Census/enumeration data [cen]
Face-to-face [f2f]
Census of Agriculture 82 was carried out in two phases: a. The Peasant or Small Holding Sector b. The Estate or the Large Holding Sector
An Agriculture holding having at least one parcel of 20 acres in extent or more and under the same unit of management was considered as an estate. Other holdings were small holdings.
The census in the small holding sector was carried out in two stages. At the 1st stage the enumerator visited each and every census unit namely housing unit, living quarters other than housing unit and non-housing units in the country and screened out the Agriculture operators thro' a schedule known as Agriculture Census 1 (AC-1). After identifying the agricultural operators, the enumerators collected the following information in respect of their operational holdings through the schedule Agricultural Census - 2 (AC-2).
a. Characteristics of the operators - age, sex, educational status b. Type of ownership of holding c. Operational Status of operator d. Area of operational holding e. Area under principal crops. f. Irrigated and source of irrigation g. Agriculture machinery owned and used h. Numbers of livestock kept.
Along with the first stage census operation, the enumerators were instructed to summarize some important info obtained from AC-2 schedule on a summary sheet AC-4 in order to serve immediate needs of data users.
At the second stage a sample of 10% of the holdings was selected and the following info was collected thro' AC-3.
a. Population of operator's household b. Sources of income of operator's household c. Main occupation of the operator d. Type of holding e. Use of fertilizer and pesticides f. Land utilization and tenure pattern
The estate sector was covered thro' a mailed questionnaire AC-5. A complete list of estates has been prepared by the field staff and to all these estates, census questionnaires were posted along with brief instructions. The estate managers were requested to fill the questionnaire and post them back to the respective District commissioners of Census. The non-respondents were visited by the District Census Staff and finally the response rate was as high as 99%. Following items were covered through the estate schedule:
a. Location of estate b. Characteristics of the operator c. Total area of the estate d. Area under principal crop e. Tenure and land utilization f. Crop area and livestock numbers g. Use of fertilizer and pesticides h. Irrigation facilities i. Population and employment j. Agricultural employment k. Agricultural machinery
Data editing took place at a number of stages throughout the processing, including:
a) Manual editing and coding b) During data entry (Range edits) c) Computer editing - Structural and consistency d) Secondary editing e) Imputations
Detailed documentation of the editing of data can be found in the External resources Section.
In 1800, the region of Germany was not a single, unified nation, but a collection of decentralized, independent states, bound together as part of the Holy Roman Empire. This empire was dissolved, however, in 1806, during the Revolutionary and Napoleonic eras in Europe, and the German Confederation was established in 1815. Napoleonic reforms led to the abolition of serfdom, extension of voting rights to property-owners, and an overall increase in living standards. The population grew throughout the remainder of the century, as improvements in sanitation and medicine (namely, mandatory vaccination policies) saw child mortality rates fall in later decades. As Germany industrialized and the economy grew, so too did the argument for nationhood; calls for pan-Germanism (the unification of all German-speaking lands) grew more popular among the lower classes in the mid-1800s, especially following the revolutions of 1948-49. In contrast, industrialization and poor harvests also saw high unemployment in rural regions, which led to waves of mass migration, particularly to the U.S.. In 1886, the Austro-Prussian War united northern Germany under a new Confederation, while the remaining German states (excluding Austria and Switzerland) joined following the Franco-Prussian War in 1871; this established the German Empire, under the Prussian leadership of Emperor Wilhelm I and Chancellor Otto von Bismarck. 1871 to 1945 - Unification to the Second World War The first decades of unification saw Germany rise to become one of Europe's strongest and most advanced nations, and challenge other world powers on an international scale, establishing colonies in Africa and the Pacific. These endeavors were cut short, however, when the Austro-Hungarian heir apparent was assassinated in Sarajevo; Germany promised a "blank check" of support for Austria's retaliation, who subsequently declared war on Serbia and set the First World War in motion. Viewed as the strongest of the Central Powers, Germany mobilized over 11 million men throughout the war, and its army fought in all theaters. As the war progressed, both the military and civilian populations grew increasingly weakened due to malnutrition, as Germany's resources became stretched. By the war's end in 1918, Germany suffered over 2 million civilian and military deaths due to conflict, and several hundred thousand more during the accompanying influenza pandemic. Mass displacement and the restructuring of Europe's borders through the Treaty of Versailles saw the population drop by several million more.
Reparations and economic mismanagement also financially crippled Germany and led to bitter indignation among many Germans in the interwar period; something that was exploited by Adolf Hitler on his rise to power. Reckless printing of money caused hyperinflation in 1923, when the currency became so worthless that basic items were priced at trillions of Marks; the introduction of the Rentenmark then stabilized the economy before the Great Depression of 1929 sent it back into dramatic decline. When Hitler became Chancellor of Germany in 1933, the Nazi government disregarded the Treaty of Versailles' restrictions and Germany rose once more to become an emerging superpower. Hitler's desire for territorial expansion into eastern Europe and the creation of an ethnically-homogenous German empire then led to the invasion of Poland in 1939, which is considered the beginning of the Second World War in Europe. Again, almost every aspect of German life contributed to the war effort, and more than 13 million men were mobilized. After six years of war, and over seven million German deaths, the Axis powers were defeated and Germany was divided into four zones administered by France, the Soviet Union, the UK, and the U.S.. Mass displacement, shifting borders, and the relocation of peoples based on ethnicity also greatly affected the population during this time. 1945 to 2020 - Partition and Reunification In the late 1940s, cold war tensions led to two distinct states emerging in Germany; the Soviet-controlled east became the communist German Democratic Republic (DDR), and the three western zones merged to form the democratic Federal Republic of Germany. Additionally, Berlin was split in a similar fashion, although its location deep inside DDR territory created series of problems and opportunities for the those on either side. Life quickly changed depending on which side of the border one lived. Within a decade, rapid economic recovery saw West Germany become western Europe's strongest economy and a key international player. In the east, living standards were much lower, although unemployment was almost non-existent; internationally, East Germany was the strongest economy in the Eastern Bloc (after the USSR), though it eventually fell behind the West by the 1970s. The restriction of movement between the two states also led to labor shortages in the West, and an influx of migrants from...
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This Special Licence Access dataset contains names and addresses from the Integrated Census Microdata (I-CeM) dataset for England and Wales for 1921. These data are made available under Special Licence (SL) access conditions due to commercial sensitivity.
The anonymised main I-CeM database that complements these names and addresses is available under End User Licence access: SN 9281, Integrated Census Microdata (I-CeM), England and Wales, 1921. See the catalogue record for 9280 for details on how to access the EUL data.
Further information about I-CeM can be found on the "https://www.campop.geog.cam.ac.uk/research/projects/icem/"> I-CeM Integrated Microdata Project and webpages.
File format
These data are available in delimited .txt format. Due to the size of the file, it has been zipped in '.7z' format to ease download delivery. The file can be easily unzipped using open-source 7-Zip software or similar packages. Users may need to take advice from their organisation's IT service.