Brochure Theme: S5 – Statistical data – Agriculture Under Theme: S510.A2 – Agricultural census

This dataset is comprised of selected Division level census counts for the dominion of Newfoundland, Canada derived from the published census reports of 1911, 1935 and 1945. It forms part of a larger project entitled 'The Orange Order in the 20th century: A study in social change'. This wider study explores the relative impact of techno-economic, cultural and institutional factors on Orange Order membership and political influence in twentieth century Scotland, Canada and Northern Ireland Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research. Purposive selection/case studies Transcription of existing materials Compilation or synthesis of existing material

Abstract copyright UK Data Service and data collection copyright owner. The aims of this study were : to examine trends in fertility, nuptiality and mortality in Sri Lanka (Ceylon became Sri Lanka in 1972) in the period prior to demographic transition, i.e. prior to the 1950s. There is a tendency to suppose that, prior to transition, developing world countries had more or less constant fertility and mortality - at high levels - albeit with the fluctuations in both caused by famines and epidemics. There may have been more complex movements in Sri Lanka; to search for the reasons for changes which occurred, by examining how these varied across the approximately 20 administrative districts of the island and considering whether this variation was associated with district characteristics such as literacy, availability of health services, etc. Main Topics: Some problems were encountered by the Archive with the original files supplied for this dataset. More details are given below under 'Availability'. The following files comprise the data available to users : Births SLVSBS.WK1 : contains Sri Lanka vital statistics, giving births by gender from 1900 to 1954 for the 21 administrative districts, ethnic groups, (Sinhalese, Tamils, Moors) and Estates. It further subdivides Tamil births from 1940 into Ceylon and Indian Tamils. SLVSBMTH.WK1 : contains Sri Lanka vital statistics, giving births by sex by month from 1949 to 1954 for 21 administrative districts. SLVSBMTH.WK1 : this file was recovered by the Archive using Norton Utilities software. This process only recovered part of the data (45,565 out of 232,795 bytes). The file contains births by gender per quarter for the years 1900-1913 for all races, but only for 7 out of 21 districts. The unrecovered part includes 1914-1921 births by gender by quarter for all Sri Lanka, districts, and also Estates - total births by quarter 1900-25. Deaths SLVSCDQ.WK2 : causes of death, 1910 to 1921. SLVSDAS.WK3 : deaths by age by gender, 1920 to 1922. SLVSDMTH.WK3 : deaths by gender and by month, 1937 to 1945. Census Information The Census files contain information on population in age ranges, by gender and by marital status. Age ranges and marital status differ between the Censuses. The Census of 1931 only contains the total population for administrative districts and does not include marital status or age ranges.

The Holocaust was the systematic extermination of Europe's Jewish population in the Second World War, during which time, up to six million Jews were murdered as part of Nazi Germany's "Final Solution to the Jewish Question". In the context of the Second World War, the term "Holocaust" is traditionally used to reference the genocide of Europe's Jews, although this coincided with the Nazi regime's genocide and ethnic cleansing of an additional eleven million people deemed "undesirable" due to their ethnicity, beliefs, disability or sexuality (among others). During the Holocaust, Poland's Jewish population suffered the largest number of fatalities, with approximately three million deaths. Additionally, at least one million Jews were murdered in the Soviet Union, while Hungary, Latvia, Lithuania, the Netherlands and Yugoslavia also lost the majority of their respective pre-war Jewish populations. The Holocaust in Poland In the interwar period, Europe's Jewish population was concentrated in the east, with roughly one third living in Poland; this can be traced back to the Middle Ages, when thousands of Jews flocked to Eastern Europe to escape persecution. At the outbreak of the Second World War, it is estimated that there were 3.4 million Jews living in Poland, which was approximately ten percent of the total population. Following the German invasion of Poland, Nazi authorities then segregated Jews in ghettos across most large towns and cities, and expanded their network of concentration camps throughout the country. In the ghettos, civilians were deprived of food, and hundreds of thousands died due to disease and starvation; while prison labor was implemented under extreme conditions in concentration camps to fuel the German war effort. In Poland, six extermination camps were also operational between December 1941 and January 1945, which saw the mass extermination of approximately 2.7 million people over the next three years (including many non-Poles, imported from other regions of Europe). While concentration camps housed prisoners of all backgrounds, extermination camps were purpose-built for the elimination of the Jewish race, and over 90% of their victims were Jewish. The majority of the victims in these extermination camps were executed by poison gas, although disease, starvation and overworking were also common causes of death. In addition to the camps and ghettos, SS death squads (Einsatzgruppen) and local collaborators also committed widespread atrocities across Eastern Europe. While the majority of these atrocities took place in the Balkan, Baltic and Soviet regions, they were still prevalent in Poland (particularly during the liquidation of the ghettos), and the Einsatzgruppen alone are estimated to have killed up to 1.3 million Jews throughout the Holocaust. By early 1945, Soviet forces had largely expelled the German armies from Poland and liberated the concentration and extermination camps; by this time, Poland had lost roughly ninety percent of its pre-war Jewish population, and suffered approximately three million further civilian and military deaths. By 1991, Poland's Jewish population was estimated to be just 15 thousand people, while there were fewer than two thousand Jews recorded as living in Poland in 2018.

Japan Population Census: Male: Age 30 to 34 Years data was reported at 3,684,747.000 Person in 2015. This records a decrease from the previous number of 4,221,011.000 Person for 2010. Japan Population Census: Male: Age 30 to 34 Years data is updated yearly, averaging 3,849,696.500 Person from Dec 1920 (Median) to 2015, with 20 observations. The data reached an all-time high of 5,421,545.000 Person in 1980 and a record low of 1,805,587.000 Person in 1945. Japan Population Census: Male: Age 30 to 34 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G002: Population: Annual.

The 6th Population Census, this is an extraordinary census conducted just after the end of the war. In order to clarify the state of Japan’s population and households, the population census has been conducted in Japan almost every five years.More details on the "Population Census of Japan" overall including other years can be found here: https://d-infra.ier.hit-u.ac.jp/Japanese/statistical-yb/b001.html. 　　　　　Following the enactment of the Statistics Act, the Population Census was implemented as the "Designated Statistics No. 1" based on the Statistics Act. The census examined, for example, whether people had returned to Japan after the war. Due to the war, no Population Census was conducted in 1945.

The indicator counts, on 1 January 2011 and 1 January 2021, conventional dwellings according to the year of construction of the building. Collective housing (e.g. a nursing home) and non-conventional housing (e.g. a mill) are not included in the indicator. On the other hand, empty dwellings (housing under construction, second residence, etc.) are taken into account. The definition of housing in the Census is also a broader one than that in the cadastre because some dwellings not recognized in the cadastre were identified as such in the Census, often in situations where it was assumed that a single-family house (so recorded in the cadastre) was actually divided into apartments. Note that the few dwellings whose building age is indeterminate are well included in the denominator but not in the numerator. Some indicators of the theme are also available by statistical sectors on the website of the "\2". Infra-municipal data are not yet available for 2021. Note: The housing indicators derived from the Census are constructed from the crossing of several databases (the national register, the previous census carried out by survey of the entire population in 2001, the cadastre, etc.).

Abstract

For 156 years (1840 - 1996), the U.S. Department of Commerce, Bureau of the Census was responsible for collecting census of agriculture data. The 1997 Appropriations Act contained a provision that transferred the responsibility for the census of agriculture from the Bureau of the Census to the U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS). The 2007 Census of Agriculture is the 27th Federal census of agriculture and the third conducted by NASS. The first agriculture census was taken in 1840 as part of the sixth decennial census of population. The agriculture census continued to be taken as part of the decennial census through 1950. A separate middecade census of agriculture was conducted in 1925, 1935, and 1945. From 1954 to 1974, the census was taken for the years ending in 4 and 9. In 1976, Congress authorized the census of agriculture to be taken for 1978 and 1982 to adjust the data reference year so that it coincided with other economic censuses. This adjustment in timing established the agriculture census on a 5-year cycle collecting data for years ending in 2 and 7. Agriculture census data are used to:

• Evaluate, change, promote, and formulate farm and rural policies and programs that help agricultural producers; • Study historical trends, assess current conditions, and plan for the future; • Formulate market strategies, provide more efficient production and distribution systems, and locate facilities for agricultural communities; • Make energy projections and forecast needs for agricultural producers and their communities; • Develop new and improved methods to increase agricultural production and profitability; • Allocate local and national funds for farm programs, e.g. extension service projects, agricultural research, soil conservation programs, and land-grant colleges and universities; • Plan for operations during drought and emergency outbreaks of diseases or infestations of pests. • Analyze and report on the current state of food, fuel, feed, and fiber production in the United States.

American Samoa is one of the territories collectively referred as the "US Outlying areas". The 2008 American Samoa Census of Agriculture was conducted by personal interviews of all farm operations on the list of commercial farms, and supplemented by an area sample of the remaining households. The purpose of the area sample was to efficiently accountfor farms not on the commercialfarmlist and provide an accurate measure of the agricultural activity in American Samoa.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit for the CA 2008 was the farm, an operating unit defined as any place from which USD 1 000 or more of agricultural products were produced and sold, or normally would have been sold, during the census year.

Kind of data

Census/enumeration data [cen]

Sampling procedure

i. Methodological modality for conducting the census The classical approach was used in the CA 2008.

ii. sample design The design of the sample for the 2008 Census of Agriculture made use of materials and information available from the American Samoa Department of Commerce. These included detailed maps of all the islands in the territory, up-to-date map-spotting (location on a map) of all households in the territory, a system of numbering each household to provide it a unique identifier, and identification of householdswhich were on the list of commercial farms. The households that were on the list of commercial farms were excluded from the universe used to select the area sample. A random sample of the remaining households was selected, using the available maps with the household identification information. It was determined that a 20 percent sample would be optimal. A serpentine selection methodology, starting at a point determined by the generation of a random number, was used to select the area sample.

Mode of data collection

Face-to-face paper [f2f]

Research instrument

One questionnaire was used which collected information on:

• Land owned
• Field crops
• Fruit
• Root crops
• Cattle and calves
• Poultry
• Aquaculture
• Expenditure
• Production expenses
• Machinery, equipment and buildings
• Household characteristics

Cleaning operations

1. DATA PROCESSING AND ARCHIVING The completed forms were scanned and Optical Mark Recognition (OMR) was used to retrieve categorical responses and to identify the other answer zones in which some type of mark was present. The edit system determined the best value to impute for reported responses that were deemed unreasonable and for required responses that were absent. The complex edit ensured the full internal consistency of the record. After tabulation and review of the aggregates, a comprehensive disclosure review was conducted. Cell suppression was used to protect the cells that were determined to be sensitive to a disclosure of information.

2. CENSUS DATA QUALITY NASS conducted an extensive program to follow-up all non-response. NASS also used capture-recapture methodology to adjust for under-coverage, non-response, and misclassification. To implement capture-recapture methods, two independent surveys were required --the 2012 Census of Agriculture (based on the Census Mail List) and the 2012 June Agricultural Survey (based on the area frame). Historically, NASS has been careful to maintain the independence of these two surveys.

Data appraisal

The complete data series from the 2008 Census of Agriculture is available from the NASS website free of charge in multiple formats, including Quick Stats 2.0 - an online database to retrieve customized tables with Census data at the national, state and county levels. The 2012 Census of Agriculture provides information on a range of topics, including agricultural practices, conservation, organic production, as well as traditional and specialty crops.

The indicator counts, on 1 January 2011 and 1 January 2021, conventional dwellings according to the year of construction of the building. Collective housing (e.g. a nursing home) and non-conventional housing (e.g. a mill) are not included in the indicator. On the other hand, empty dwellings (housing under construction, second residence, etc.) are taken into account. The definition of housing in the Census is also a broader one than that in the cadastre because some dwellings not recognized in the cadastre were identified as such in the Census, often in situations where it was assumed that a single-family house (so recorded in the cadastre) was actually divided into apartments. Note that the few dwellings whose building age is indeterminate are well included in the denominator but not in the numerator. Some indicators of the theme are also available by statistical sectors on the website of the "\2". Note: The housing indicators derived from the Census are constructed from the crossing of several databases (the national register, the previous census carried out by survey of the entire population in 2001, the cadastre, etc.).

Japan Population Census: Male: Age 25 to 29 Years data was reported at 3,255,717.000 Person in 2015. This records a decrease from the previous number of 3,691,723.000 Person for 2010. Japan Population Census: Male: Age 25 to 29 Years data is updated yearly, averaging 3,875,527.000 Person from Dec 1920 (Median) to 2015, with 20 observations. The data reached an all-time high of 5,426,289.000 Person in 1975 and a record low of 1,603,664.000 Person in 1945. Japan Population Census: Male: Age 25 to 29 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G002: Population: Annual.

The dataset shows the population of the Canton of Basel-Stadt by home, 1-year age classes at the end of the year. The data is updated annually. Methodological notes: In category CH, the cantonal citizens (category BS) are also included. If the two categories are added together, the cantonal citizens are counted twice.- In the years 1964 to 1990, the population is based on continuation of census; In the years 1990 to 2011 the annual updates were based on the inventory of the cantonal population register on 31.12.1990.- Since 2012, the population figures are based directly on evaluations from the cantonal population register.- In 1989 and 1990: From the 94th. The data were aligned with the population control of Basel-Stadt. In 2019: As a result of a system change without frontier worker with weekly stay.

Sources: Official Statistics: Population-Census-data, police registration, information of the civil registry office, civil status registration of the finance office, medical profession’s statistics of the medical association, administration statistics of magistrate departement 15 (departement of tuberculosis abatement), annual report of Vienna’s hospitals, containment measurement of magistrate departement 22, information about household refuse and potential recyclable of magistrate departement 48. Additional: Microcensus.

The total population in Slovakia was estimated at 5.4 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Slovakia Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

In 1938, the year before the outbreak of the Second world War, the countries with the largest populations were China, the Soviet Union, and the United States, although the United Kingdom had the largest overall population when it's colonies, dominions, and metropole are combined. Alongside France, these were the five Allied "Great Powers" that emerged victorious from the Second World War. The Axis Powers in the war were led by Germany and Japan in their respective theaters, and their smaller populations were decisive factors in their defeat. Manpower as a resource In the context of the Second World War, a country or territory's population played a vital role in its ability to wage war on such a large scale. Not only were armies able to call upon their people to fight in the war and replenish their forces, but war economies were also dependent on their workforce being able to meet the agricultural, manufacturing, and logistical demands of the war. For the Axis powers, invasions and the annexation of territories were often motivated by the fact that it granted access to valuable resources that would further their own war effort - millions of people living in occupied territories were then forced to gather these resources, or forcibly transported to work in manufacturing in other Axis territories. Similarly, colonial powers were able to use resources taken from their territories to supply their armies, however this often had devastating consequences for the regions from which food was redirected, contributing to numerous food shortages and famines across Africa, Asia, and Europe. Men from annexed or colonized territories were also used in the armies of the war's Great Powers, and in the Axis armies especially. This meant that soldiers often fought alongside their former-enemies. Aftermath The Second World War was the costliest in human history, resulting in the deaths of between 70 and 85 million people. Due to the turmoil and destruction of the war, accurate records for death tolls generally do not exist, therefore pre-war populations (in combination with other statistics), are used to estimate death tolls. The Soviet Union is believed to have lost the largest amount of people during the war, suffering approximately 24 million fatalities by 1945, followed by China at around 20 million people. The Soviet death toll is equal to approximately 14 percent of its pre-war population - the countries with the highest relative death tolls in the war are found in Eastern Europe, due to the intensity of the conflict and the systematic genocide committed in the region during the war.

Japan Population Census: Male: Age 20 to 24 Years data was reported at 3,046,392.000 Person in 2015. This records a decrease from the previous number of 3,266,240.000 Person for 2010. Japan Population Census: Male: Age 20 to 24 Years data is updated yearly, averaging 3,915,965.500 Person from Dec 1920 (Median) to 2015, with 20 observations. The data reached an all-time high of 5,344,885.000 Person in 1970 and a record low of 2,024,120.000 Person in 1945. Japan Population Census: Male: Age 20 to 24 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G002: Population: Annual.

Time series of the period 1945 to 2001 about the topics population, health-system and environment of Vienna.

The emphasis of the time series are the demographic data, devided into the sections population structure and population movement.

It was attempted to cover the whole period from 1945 to 2001 with statistical information. In the field of environmental statistics this aim could not be achieved. First data were collected in the late 60ies.

Population-census results of March, the 15th 2001 were accounted for, as far as available.

Topics:

List of Tables in the GESIS-ZA-Online-Database HISTAT:

A. Population Structure

A. 1.01 Population Updating 1945-2001 A. 1.02 Population Updating by Urban Districts 1982-2001 A. 1.03 Population Development by Urban Districts 1951-2001 A. 1.04 Development of Citizen’s Number by Urban Districts 1951-2001 A. 1.05 Results of Civil Status Registration 1967-1987 A. 1.06 Age- and Sexdistribution 1951-2001 A. 1.06.a Age- and Sexdistribution (measured values) 1951-2001 A. 1.06.b Age- and Sexdistribution (mean age) 1951-2001 A. 1.07. Age- and Sexspecific Family Status Quotas 1951-2001 A. 1.07.a Age- and Sexspecific Family Status Quotas (male) 1951-2001 A. 1.07.b Age- and Sexspecific Family Status Quotas (female) 1951-2001 A. 1.08 Foreign Persons by Nationality 1947-2001 A. 1.09 Native Birth of the Resident Population 1951-2001 A. 1.10 Resident Population beyond 15 Years by highest graduation 1951-1991 A. 1.11 Resident Population by Denomination A. 1.11.a Resident Population by Denomination 1951-2001 A. 1.11.b Resident Population by Denomination and by Urban Districts 1951-2001 A. 1.12 Resident Population by Means of Subsistence 1951-1991 A. 1.13 Employed Persons by Occupational Status and the Social Economical Classification respectively and by Sex 1951-1991 A. 1.13.a Employed Persons by Occupational Status and by Sex 1951-1991 A. 1.13.b Employed Persons by Social Economical Classification and by Sex 1951-1991 A. 1.14 Household-type and -size 1951-2001 A. 1.15 Family by Familytype and Number of Children 1971-1991

B. Population Movement

B. 2.01 Natural Population Movement 1945-2001 B. 2.02 Ratios of Birth, Fertility and Infant Mortality 1945-2001 B. 2.03 Age-specific Fertilityratios 1951-2001 B. 2.04 Age-specific Fertilityratios by legitimacy 1951-2001 B. 2.05 Marriage Indicators 1945-2001 B. 2.06 Divorce Indicators 1945-2001 B. 2.07 Mortality and Life Expectancy 1945-2001 B. 2.07.a Mortality 1945-2001 B. 2.07.b Life Expectancy 1945-2001
B. 2.08 Flows of Migration 1946-2001 B. 2.09 Flows of Migration by Denomination 1992-2001 B. 2.10 Migration Biographies of Austrian Residential Population 1961-1988: Vienna’s Flows of Migration B. 2.10.a Migration Biographies of Austrian Residential Population 1961-1988: Internal Migration B. 2.10.b Migration Biographies of Austrian Residential Population 1961-1988: Migration Balance B. 2.11 Directionspecific Flows of Migration 1986-2001 B. 2.11.a Directionspecific Flows of Migration 1986-2001: to move from … to Vienna. B. 2.11.b Directionspecific Flows of Migration 1986-2001: to move from Vienna to … . B. 2.11.c Directionspecific Flows of Migration 1986-2001: Migration Balance B. 2.12 Residential Mobility at the Period of 5 Years before the Censuses 1961-1991 B. 2.13 Population Balance by Territory as of Today 1934-2001 B. 2.14 Naturalizations of Vienna’s Resident Population 1945-2001

C. Health System

C. 3.01 Statistics of Hospitals 1946-2000 C. 3.02 Physicians and Dentists 1946-2001 C. 3.03 Incidences with Tuberculosis 1946-2001 C. 3.04 Causes of Death 1946-2001 C. 3.05 Age Standardized Mortality Rate by Causes of Death C. 3.05.a Annual Age Standardized Mortality Rate and their Rate of Change to the Previous Year 1980-2001 C. 3.05.b Average Age Standardized Mortality Rate for 5-Year-Periods 1980/84-2000/2001

D. Environment

D. 4.01 Environmental Conditions of Habitation D. 4.01.a Impairement of Habitation caused by Noise Annoyance 1970-1998
D. 4.01.b Sources of Noice 1970-1998 D. 4.01.c Impairement of Habitation caused by Off Odours 1973-1998 D. 4.01.d Sources of Off Odours 1973-1998 D. 4.02 Amount of Rubbish and Potential Recyclable Rubbish (waste paper, glass for recycling, etc.) D. 4.02.a Amount of Rubbish 1969-2001 D. 4.02.b Potential Recyclable Rubbish 1977-2001 D. 4.03 Air Quality 1988-2001 D. 4.04 Green Space in Vienna 1988-1997

This table contains 13 series, with data for years 1926 - 1960 (not all combinations necessarily have data for all years), and was last released on 2000-02-18. This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...).

Time series of the period 1945 to 2001 about the topics population, health-system and environment of Vienna. The emphasis of the time series are the demographic data, devided into the sections population structure and population movement. It was attempted to cover the whole period from 1945 to 2001 with statistical information. In the field of environmental statistics this aim could not be achieved. First data were collected in the late 60ies. Population-census results of March, the 15th 2001 were accounted for, as far as available. Topics: List of Tables in the GESIS-ZA-Online-Database HISTAT: A. Population Structure A. 1.01 Population Updating 1945-2001 A. 1.02 Population Updating by Urban Districts 1982-2001 A. 1.03 Population Development by Urban Districts 1951-2001 A. 1.04 Development of Citizen’s Number by Urban Districts 1951-2001 A. 1.05 Results of Civil Status Registration 1967-1987 A. 1.06 Age- and Sexdistribution 1951-2001 A. 1.06.a Age- and Sexdistribution (measured values) 1951-2001 A. 1.06.b Age- and Sexdistribution (mean age) 1951-2001 A. 1.07. Age- and Sexspecific Family Status Quotas 1951-2001 A. 1.07.a Age- and Sexspecific Family Status Quotas (male) 1951-2001 A. 1.07.b Age- and Sexspecific Family Status Quotas (female) 1951-2001 A. 1.08 Foreign Persons by Nationality 1947-2001 A. 1.09 Native Birth of the Resident Population 1951-2001 A. 1.10 Resident Population beyond 15 Years by highest graduation 1951-1991 A. 1.11 Resident Population by Denomination A. 1.11.a Resident Population by Denomination 1951-2001 A. 1.11.b Resident Population by Denomination and by Urban Districts 1951-2001 A. 1.12 Resident Population by Means of Subsistence 1951-1991 A. 1.13 Employed Persons by Occupational Status and the Social Economical Classification respectively and by Sex 1951-1991 A. 1.13.a Employed Persons by Occupational Status and by Sex 1951-1991 A. 1.13.b Employed Persons by Social Economical Classification and by Sex 1951-1991 A. 1.14 Household-type and -size 1951-2001 A. 1.15 Family by Familytype and Number of Children 1971-1991 B. Population Movement B. 2.01 Natural Population Movement 1945-2001 B. 2.02 Ratios of Birth, Fertility and Infant Mortality 1945-2001 B. 2.03 Age-specific Fertilityratios 1951-2001 B. 2.04 Age-specific Fertilityratios by legitimacy 1951-2001 B. 2.05 Marriage Indicators 1945-2001 B. 2.06 Divorce Indicators 1945-2001 B. 2.07 Mortality and Life Expectancy 1945-2001 B. 2.07.a Mortality 1945-2001 B. 2.07.b Life Expectancy 1945-2001 B. 2.08 Flows of Migration 1946-2001 B. 2.09 Flows of Migration by Denomination 1992-2001 B. 2.10 Migration Biographies of Austrian Residential Population 1961-1988: Vienna’s Flows of Migration B. 2.10.a Migration Biographies of Austrian Residential Population 1961-1988: Internal Migration B. 2.10.b Migration Biographies of Austrian Residential Population 1961-1988: Migration Balance B. 2.11 Directionspecific Flows of Migration 1986-2001 B. 2.11.a Directionspecific Flows of Migration 1986-2001: to move from … to Vienna. B. 2.11.b Directionspecific Flows of Migration 1986-2001: to move from Vienna to … . B. 2.11.c Directionspecific Flows of Migration 1986-2001: Migration Balance B. 2.12 Residential Mobility at the Period of 5 Years before the Censuses 1961-1991 B. 2.13 Population Balance by Territory as of Today 1934-2001 B. 2.14 Naturalizations of Vienna’s Resident Population 1945-2001 C. Health System C. 3.01 Statistics of Hospitals 1946-2000 C. 3.02 Physicians and Dentists 1946-2001 C. 3.03 Incidences with Tuberculosis 1946-2001 C. 3.04 Causes of Death 1946-2001 C. 3.05 Age Standardized Mortality Rate by Causes of Death C. 3.05.a Annual Age Standardized Mortality Rate and their Rate of Change to the Previous Year 1980-2001 C. 3.05.b Average Age Standardized Mortality Rate for 5-Year-Periods 1980/84-2000/2001 D. Environment D. 4.01 Environmental Conditions of Habitation D. 4.01.a Impairement of Habitation caused by Noise Annoyance 1970-1998 D. 4.01.b Sources of Noice 1970-1998 D. 4.01.c Impairement of Habitation caused by Off Odours 1973-1998 D. 4.01.d Sources of Off Odours 1973-1998 D. 4.02 Amount of Rubbish and Potential Recyclable Rubbish (waste paper, glass for recycling, etc.) D. 4.02.a Amount of Rubbish 1969-2001 D. 4.02.b Potential Recyclable Rubbish 1977-2001 D. 4.03 Air Quality 1988-2001 D. 4.04 Green Space in Vienna 1988-1997 Zeitreihen für die Periode 1945-2001 zu den Themen Bevölkerung, Gesundheitswesen und Umwelt der Stadt Wien. Der Schwerpunkt der Zeitreihen liegt auf den demographischen Daten, die in die Abschnitte Bevölkerungsstruktur und Bevölkerungsbewegung unterteilt wurden. Es wurde versucht, möglichst den gesamten Zeitabschnitt mit statistischen Reihen abzudecken. Im Bereich der Umweltstatistik war das allerdings auf Grund des erst seit dem in den späten 1960er Jahren erwachten Interesses der Öffentlichkeit an Umweltfragen nur bedingt möglich. Ergebnisse der Volkszählung vom 15. Mai 2001 wurden, soweit sie bei Redaktionsschluss bereits verfügbar waren, berücksichtigt. Themen: Verzeichnis der Tabellen in der GESIS-ZA-Online-Datenbank HISTAT: A. Bevölkerungsstruktur A. 1.01 Bevölkerungsfortschreibung 1945-2001 A. 1.02 Bevölkerungsfortschreibung nach Bezirken 1982-2001 A. 1.03 Bevölkerungsentwicklung nach Bezirken 1951-2001 A. 1.04 Entwicklung der Bürgerzahl nach Bezirken 1951-2001 A. 1.05 Ergebnisse der Personenstandsaufnahmen 1967-1987 A. 1.06 Alters- und Geschlechtsstruktur 1951-2001 A. 1.06.a Alters- und Geschlechtsstruktur (Relativ- und Maßzahlen) 1951-2001 A. 1.06.b Alters- und Geschlechtsstruktur (Durchschnittsalter) 1951-2001 A. 1.07. Alters- und geschlechtsspezifische Familienstandsquoten 1951-2001 A. 1.07.a Alters- und geschlechtsspezifische Familienstandsquoten (männlich) 1951-2001 A. 1.07.b Alters- und geschlechtsspezifische Familienstandsquoten (weiblich) 1951-2001 A. 1.08 AusländerInnen nach ausgewählten Staatsangehörigkeiten 1947-2001 A. 1.09 Gebürtigkeit der Wohnbevölkerung 1951-2001 A. 1.10 Wohnbevölkerung über 15 Jahre nach höchster abgeschlossener Ausbildung 1951-1991 A. 1.11 Wohnbevölkerung nach dem Religionsbekenntnis A. 1.11.a Wohnbevölkerung nach dem Religionsbekenntnis 1951-2001 A. 1.11.b Wohnbevölkerung nach dem Religionsbekenntnis und Bezirken 1951-2001 A. 1.12 Wohnbevölkerung nach Lebensunterhalt 1951-1991 A. 1.13 Berufstätige nach der Stellung im Beruf bzw. der sozioökonomischen Gliederung und Geschlecht 1951-1991 A. 1.13.a Berufstätige nach der Stellung im Beruf und Geschlecht 1951-1991 A. 1.13.b Berufstätige nach der sozioökonomischen Gliederung und Geschlecht 1951-1991 A. 1.14 Haushalte nach Haushaltstyp und -größe 1951-2001 A. 1.15 Familien nach Familientyp und Kinderzahl 1971-1991 B. Bevölkerungsbewegung B. 2.01 Natürliche Bevölkerungsbewegung 1945-2001 B. 2.02 Kennziffern zu Geburten, Fertilität und Säuglingssterblichkeit 1945-2001 B. 2.03 Altersspezifische Fertilitätsziffern 1951-2001 B. 2.04 Altersspezifische Fertilitätsziffern nach Legitimität 1951-2001 B. 2.05 Eheschließungsindikatoren 1945-2001 B. 2.06 Ehescheidungsindikatoren 1945-2001 B. 2.07 Mortalität und Lebenserwartung 1945-2001 B. 2.07.a Mortalität 1945-2001 B. 2.07.b Lebenserwartung 1945-2001 B. 2.08 Wanderungsströme 1946-2001 B. 2.09 Wanderungsströme nach Staatsangehörigkeit 1992-2001 B. 2.10 Wanderungsbiografien der österreichischen Wohnbevölkerung 1988: Wanderungsströme Wiens B. 2.10.a Wanderungsbiografien der österreichischen Wohnbevölkerung 1988: Binnenwanderung B. 2.10.b Wanderungsbiografien der österreichischen Wohnbevölkerung 1961-1988: Wanderungsbilanz B. 2.11 Richtungsspezifische Wanderungsströme 1986-2001 B. 2.11.a Richtungsspezifische Wanderungsströme 1986-2001 (Zuzüge von … nach Wien) B. 2.11.b Richtungsspezifische Wanderungsströme 1986-2001 (Wegzüge aus Wien nach …) B. 2.11.c Richtungsspezifische Wanderungsströme 1986-2001 (Wanderungsbilanz) B. 2.12 Wohnmobilität im Zeitraum von 5 Jahren vor den Volkszählungen 1961-1991 B. 2.13 Bevölkerungsbilanz nach dem heutigen Gebietsstand 1934-2001 B. 2.14 Einbürgerungen der Wiener Wohnbevölkerung 1945-2001 C. Gesundheitswesen C. 3.01 Krankenanstaltenstatistik 1946-2000 C. 3.02 ÄrztInnen und DentistInnen 1946-2001 C. 3.03 Neuerkrankungen an aktiver Tuberkulose 1946-2001 C. 3.04 Todesursachen 1946-2001 C. 3.05 Altersstandardisierte Sterblichkeitsentwicklung nach Todesursachengruppen C. 3.05.a Jährliche altersstandardisierte Sterbeziffern und deren Veränderungsraten zum Vorjahr 1980-2001 C. 3.05.b Durchschnittliche altersstandardisierte Sterbeziffern für 5-Jahresperioden 1980/84-2000/2001 D. Umwelt D. 4.01 Umweltbedingungen des Wohnens D. 4.01.a Beeinträchtigung des Wohnens durch Lärmstörung 1970-1998 D. 4.01.b Lärmquellen 1970-1998 D. 4.01.c Beeinträchtigung des Wohnens durch Geruchsbelästigung 1973-1998 D. 4.01.d Geruchsquellen 1973-1998 D. 4.02 Müllaufkommen und spezifischer Müllanfall D. 4.02.a Müllaufkommen 1969-2001 D. 4.02.b Altstoffe 1977-2001 D. 4.03 Luftqualität 1988-2001 D. 4.04 Grünflächen 1988-1997 Sources: Official Statistics: Population-Census-data, police registration, information of the civil registry office, civil status registration of the finance office, medical profession’s statistics of the medical association, administration statistics of magistrate departement 15 (departement of tuberculosis abatement), annual report of Vienna’s hospitals, containment measurement of magistrate departement 22, information about household refuse and potential recyclable of magistrate departement 48. Additional: Microcensus. Quellen: Amtliche Statistiken: Volkszählungen, polizeiliches Meldewesen, Standesamtsmeldungen, Personenstandsaufnahmen der Finanzämter, Ärztestatistik der Ärztekammer, Verwaltungsstatistik der Magistratsabteilung 15 (Referat für Tuberkulosebekämpfung), Jahresmeldungen der Wiener Krankenanstalten, Schadstoffmessungen der Magistratsabteilung 22, Daten

About this dataset

Context

The dataset tabulates the population of Perinton town by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Perinton town. The dataset can be utilized to understand the population distribution of Perinton town by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Perinton town. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Perinton town.

Key observations

Largest age group (population): Male # 55-59 years (1,817) | Female # 55-59 years (1,945). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Perinton town population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Perinton town is shown in the following column.
• Population (Female): The female population in the Perinton town is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Perinton town for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Perinton town Population by Gender. You can refer the same here

This data collection contains seven files of Canadian census and election data, each corresponding to a particular electoral period when the number of constituencies was fixed. The data files include returns from the federal elections of 1908 and 1911 and data from the 1911 Census (Part 1), the elections of 1917 and 1921 and the 1921 Census (Part 2), the elections of 1925, 1926, and 1930 (Part 3), the elections of 1935, 1940, and 1945 (Part 4), the election of 1949 and the 1951 Census (Part 5), the elections of 1957, 1958, 1962, 1963, and 1965 and the 1961 Census (Part 6), and the election of 1968 (Part 7). The election data include information on the total valid vote cast and the percentage of the total vote received by each of the major parties, including the Conservative, Liberal, Socialist, Labor, Independent, Progressive, CCF, Social Credit, NDP, and Creditiste parties, as well as a total for all other parties. The census data provide demographic information on religion, including Anglican, Baptist, Jewish, Lutheran, Presbyterian, Roman Catholic, United Church, and other denominational sects, and ethnic origin, including British, French, German, Italian, Scandinavian, Russian, Polish, Asiatic, Native, and others, as well as information on age, education, occupation, and income from the 1961 Census.