The purpose of this census was to provide information on juvenile detention centers throughout the United States. The data include information on type of facility, level of government administering the facility, resident population by sex, by age range, by detention status, and by offense, admissions and discharges, average length of stay, staffing and expenditures, age and capacity of facility, and programs and services available.

This data set shows Population by Age Group, Sex and Ethnic Group, Kedah, 1970-2020 notes: Value for year 1970 based on the adjusted data 1970 Population and Housing Census of Malaysia. Value for year 1980 based on the adjusted data 1980 Population and Housing Census of Malaysia. Value for year 1991 based on the adjusted data 1991 Population and Housing Census of Malaysia. Value for year 2010 based on the adjusted data 2010 Population and Housing Census of Malaysia. Value for year 1971-1979, 1981-1990, 1992-199, 2001-2009, 2011-2020 base on Intercensal mid-year population estimates The added total may differ due to rounding. Population ethnic group only available from 1980 onward No. of Views : 1032

About this dataset

Context

The dataset tabulates the Wellsville population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Wellsville. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 1,971 (63.40% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Wellsville population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Wellsville is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Wellsville is shown in the following column.

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 Wellsville Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of York by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for York. The dataset can be utilized to understand the population distribution of York by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in York. 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 York.

Key observations

Largest age group (population): Male # 20-24 years (2,036) | Female # 20-24 years (1,971). 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 York population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the York is shown in the following column.
• Population (Female): The female population in the York 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 York 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 York Population by Gender. You can refer the same here

Abstract copyright UK Data Service and data collection copyright owner.

The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.

The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.

Survey and Biomeasures Data (GN 33004):
To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669).

Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.

From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.

Linked Geographical Data (GN 33497):
A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.

Linked Administrative Data (GN 33396):
A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.

Additional Sub-Studies (GN 33562):
In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage.

How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website.

The National Child Development Study: Age 16, Sweep 3 Geographical Identifiers, 1971 Census Boundaries, 1974: Secure Access study includes sweep 3 detailed geographical variables, based on the 1971 Census Boundaries, that can be linked to the NCDS End User Licence (EUL) and Special Licence (SL) access studies listed on the NCDS series page. Besides SN 5565 - National Child Development Study: Childhood Data from Birth to Age 16, Sweeps 0-3, 1958-1974, which is provided by default, users should indicate on their ESRC Research...

This file, part of a data collection effort carried out annually from 1968-1974 to look at issues of school desegregation, contains selected school district-level racial and ethnic data about students and staff for the academic year 1971-1972. The data were collected using OCR Form OS/CR 101. Each district record for each separate year of the series is identical, containing fields for all district data elements surveyed in every year. Where a particular item was not surveyed for a specific year, its corresponding field is zero (for numeric fields) or blank (for alphanumeric fields). Counts of students in various racial and ethnic groups are provided and then further categorized across additional dimensions, including whether resident or non-resident, emotionally disturbed, physically or learning disabled, or requiring special education. Other categories include school-age children in public and non-public schools or not in school, dropouts, and those expelled or suspended. Racial and ethnic counts of full-time classroom teachers and full-time instructional staff are also supplied. Other variables focus on the number of schools in the district that used ability grouping, whether a district had single-sex schools, whether students of different sexes were required to take different courses, the number of students whose language was not English, whether bilingual instruction was used, the number of schools being newly built or modified to increase capacity, the racial composition of new schools, and whether there was litigation.

Abstract copyright UK Data Service and data collection copyright owner. The purpose of this study was to investigate the role of the British mass media in influencing the attitudes and beliefs of white British people regarding coloured people. Main Topics: Attitudinal/Behavioural Questions Perception and opinion of coloured people, attitudes to immigrants, contact with coloured people, assessment of media treatment of coloured people. Respondent's exposure to television, radio, newspapers and magazines. Leisure activities. Background Variables Age, sex, marital status, number of children. Residence: tenure; household status; number of people in household; employment status of respondent and/or head of household. Occupation: type; grade; nature of firm; income. Education: type of school; age finished full-time education; further education; highest qualification obtained. Car ownership. (Most background questions asked of adults only; child asked to supply parent's occupation.) One-stage stratified or systematic random sample stratified according to proportion of coloured people living in an area as a whole, and number of immigrant children in secondary schoolsa) High areas - Warley (9.5), West Bromwich (5.2), and Dewsbury (5.4).b) Low areas - Glasgow (less than 2), Teeside (less than 2), Sheffield (2.1), Southampton (2.1)(Figures in brackets are 1969 percentage of immigrant children in secondary schools.) Secondary schools were chosen in pairs from each borough, i.e. - secondary modern in high area (10.4 - 41.6%) paired with secondary modern school in low area (0 - 3.8%).A total of 16 schools were chosen and 26 children from each school were randomly selected from class lists (13 in eleven to twelve age group and 13 from the fourteen to fifteen age range) Face-to-face interview adults and children; Self completion (children)

This table contains 4095 series, with data for years 1921 - 1971 (not all combinations necessarily have data for all years). 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 ...) Sex (3 items: Both sexes; Females; Males ...) Age group (105 items: All ages; 1 year; 2 years; 0 years ...).

About this dataset

Context

The dataset tabulates the Roxbury township population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Roxbury township. The dataset can be utilized to understand the population distribution of Roxbury township by age. For example, using this dataset, we can identify the largest age group in Roxbury township.

Key observations

The largest age group in Roxbury Township, New Jersey was for the group of age 50-54 years with a population of 1,971 (8.51%), according to the 2021 American Community Survey. At the same time, the smallest age group in Roxbury Township, New Jersey was the 80-84 years with a population of 404 (1.75%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Roxbury township is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Roxbury township total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Roxbury township Population by Age. You can refer the same here

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.

Abstract copyright UK Data Service and data collection copyright owner.

The purpose of the project was to provide machine-readable economic and social history statistics relating to the whole of Ireland for the period 1821-1971. Further information about the project is available on the QUB Centre for Data Digitisation and Analysis website.


Main Topics:

The dataset contains population census data covering population, housing, religion, birthplaces, language, occupations, age structures, conjugal status and family structure. All the relevant background material is incorporated either in the documentation files or in the scanned images of the tables of contents, prefaces, and notes in the original source. The main population census tables are:

Total population grouped by county districts and gender (1881-1971).

Total number of buildings, classified as either inhabited buildings, uninhabited buildings, or buildings under construction grouped by county districts. Also includes the area and valuation of each county district (1881-1971).

Total number of Roman Catholics, Church of Ireland members, Presbyterians, Methodists and others grouped by county districts and gender (1926-1971).

Total number of Roman Catholics, Church of Ireland members and others grouped by counties, gender and age groups (1926-1971).

Total numbers born in each county grouped by county of residence and gender (1901-1971) Republic of Ireland only.

Total numbers born in each province grouped by county districts of residence and gender (1926-1936) Republic of Ireland only

Total numbers born in each county district grouped by county of residence and gender (1926-1971) Northern Ireland only.

Irish/English speakers and English only speakers grouped by county districts (1926-1971) Republic of Ireland only.

Occupations grouped by counties and gender (1926-1971).

Total number of persons in each age group grouped by county districts and gender (1901-1971).

Total number of married, single and widowed people grouped by county districts, age groups and gender (1926-1971).

Total number of families grouped by duration of marriage, husband's age at marriage, wife's age at marriage and number of children born (1946, 1961 and 1971) Republic of Ireland only.

Total number of families grouped by counties, duration of marriage, wife's age at marriage and number of children born (1946, 1961 and 1971) Republic of Ireland only.

Total number of families grouped by religious affiliation, duration of marriage, wife's age at marriage and number of children born (1946, 1961 and 1971) Republic of Ireland only.

Total number of dependent children grouped by counties, number of children in family and parent's marital status, gender and age (1926 and 1946) Republic of Ireland only.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

This table contains provisional data on the number of deaths among the population of the Netherlands. The data can be broken down by gender and age group. Data available from: 1971 Status of the figures: The figures for the years 1971 to 2023 inclusive are final. The figures as of 2024 are provisional. These figures may change with each renewal of the publication due to the fact that death registrations received later are still included. As this method is different from the method used for monthly mortality figures, minor discrepancies may occur. Changes as of 7 March 2025: The provisional figures of week 7 and 8 of 2025 have been added. When will new figures be published? From May 2024, the table will be updated once every two weeks with provisional figures of the two weeks before the current week number minus one. Publication is usually delayed around public holidays (e.g. Ascension Day and Boxing Day).

About this dataset

Context

The dataset tabulates the Lincoln County population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Lincoln County. The dataset can be utilized to understand the population distribution of Lincoln County by age. For example, using this dataset, we can identify the largest age group in Lincoln County.

Key observations

The largest age group in Lincoln County, KY was for the group of age 55-59 years with a population of 1,971 (8.11%), according to the 2021 American Community Survey. At the same time, the smallest age group in Lincoln County, KY was the 85+ years with a population of 448 (1.84%). 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

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Lincoln County is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Lincoln County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Lincoln County Population by Age. You can refer the same here

Abstract (en): The Longitudinal Study of Generations (LSOG), initiated in 1971, began as a survey of intergenerational relations among 300 three-generation California families with grandparents (then in their sixties), middle-aged parents (then in their early forties), and grandchildren (then aged 15 to 26). The study broadened in 1991 and now includes a fourth generation, the great-grandchildren of these same families. The LSOG, with a fully elaborated generation-sequential design, allows comparisons of sets of aging parents and children at the same stage of life but during different historical periods. These comparisons make possible the investigation of the effects of social change on inter-generational solidarity or conflict across 35 years and four generations, as well as the effects of social change on the ability of families to buffer stressful life transitions (e.g., aging, divorce and remarriage, higher female labor force participation, changes in work and the economy, and possible weakening of family norms of obligation), and the effects of social change on the transmission of values, resources, and behaviors across generations. The LSOG contains information on family structure, household composition, affectual solidarity and conflict, values, attitudes, behaviors, role importance, marital relationships, health and fitness, mental health and well-being, caregiving, leisure activities, and life events and concerns. Demographic variables include age, sex, income, employment status, marital status, socioeconomic history, education, religion, ethnicity, and military service. Presence of Common Scales: Affectual Solidarity Reliability, Consensual Solidarity (Socialization), Associational Solidarity, Functional Solidarity, Intergenerational Social Support, Normative Solidarity, Familism, Structural Solidarity, Intergenerational Feelings of Conflict, Management of Conflict Tactics, Rosenberg Self-Esteem, Depression (CES-D), Locus of Control, Bradburn Affect Balance, Eysenck Extraversion/Neuroticism, Anxiety (Hopkins Symptom Checklist), Activities of Daily Living (IADL/ADL), Religious Ideology, Political Conservatism, Gender Role Ideology, Individualism/Collectivism, Materialism/Humanism, Work Satisfaction, Gilford-Bengtson Marital Satisfaction Datasets:DS0: Study-Level FilesDS1: Waves 1-7DS2: Wave 8 Multi-generation families in California. Smallest Geographic Unit: None Families were drawn randomly from a subscriber list of 840,000 members of a California Health Maintenance Organization in Los Angeles. Families were recruited by enlisting a grandfather over the age of 60 who was part of a three-generation family that was willing to participate. 2019-08-21 The data were updated and resupplied by the data producer; ICPSR has updated the data and documentation to reflect these changes. Additionally, the data producer provided a Stata do file with syntax to merge the two datasets, which is available for download in the study zip folder. The study title was also updated.2016-07-06 Merril Silverstein was added to the collection as a P.I.2015-07-16 Wave 8 was added; including SPSS, SAS, and STATA datasets as well as an ICPSR Variable Description and Frequencies codebook. The codebook for part one was recompiled into a collection level codebook, including both parts one and two. A user guide for the collection has also been added.2009-05-12 Setup files have been updated. Funding institution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (2R01AG00799-21A2). computer-assisted self interview (CASI) face-to-face interview mail questionnaire self-enumerated questionnaire telephone interview

Abstract copyright UK Data Service and data collection copyright owner.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

Main Topics:

Population figures for Registration Sub-Districts England and Wales arranged by age and sex and given in Quinquennial bands, 1881.

Population figures arranged by age and sex at county level for Scotland 1851, 1861, 1871, 1881, 1891 and 1911.

Population figures in Quinquennial bands in 1931 for Scottish counties, county districts and burghs.

Population figures for Local Government Districts in England and Wales arranged by age and sex, 1939.

Population statistics arranged by gender from the 1939 National Register.

Population figures in 1971 arranged by age and sex for Local authority wards.

Population figures of Local Government District in 1971 arranged by sex.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

This table contains 10140 series, with data for years 1971 - 1971 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Nova Scotia; Prince Edward Island; Newfoundland and Labrador ...) Marital status (5 items: All marital statuses; Married; Single; never married; Widowed ...) Sex (3 items: Both sexes; Males; Females ...) Age group (52 items: All ages; 15 years and over; 15 years; 0-14 years ...).

Abstract copyright UK Data Service and data collection copyright owner.The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online. These data were originally published in the reports of the Registrar-General for Scotland. They were computerised by the Great Britain Historical GIS Project and its collaborators. They form part of the Great Britain Historical Database, which contains a wide range of geographically-located statistics, selected to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain, generally at sub-county scales. The data comprise complete transcriptions of a small number of tables selected from the Annual Reports, and Decennial Supplements, of the Registrar General: (1) Annual counts of births, marriages and deaths in 1861, 1881 and 1911. (2) Annual counts of births (and stillbirths), deaths, and deaths by 5- or 10-year age bands in 1921, 1930, 1931, 1941, 1950, 1951, 1961 and 1971. (3) Deaths by gender and 5-year age bands in 1881. (4) Cause of death by gender and 5-year age bands for the decades 1881-90 and 1891-1900. The data are always by county and sometimes also by burgh and district. Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research. Main Topics: All data are counts of births, marriages or deaths except for population totals taken from the census.

Austria AT: Primary Completion Rate: Total: % of Relevant Age Group data was reported at 97.159 % in 2022. This records a decrease from the previous number of 99.817 % for 2021. Austria AT: Primary Completion Rate: Total: % of Relevant Age Group data is updated yearly, averaging 98.649 % from Dec 1971 (Median) to 2022, with 19 observations. The data reached an all-time high of 100.962 % in 2004 and a record low of 93.764 % in 1971. Austria AT: Primary Completion Rate: Total: % of Relevant Age Group data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Austria – Table AT.World Bank.WDI: Social: Education Statistics. Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 24, 2024. https://apiportal.uis.unesco.org/bdds.;Weighted average;

Project Tycho datasets contain case counts for reported disease conditions for countries around the world. The Project Tycho data curation team extracts these case counts from various reputable sources, typically from national or international health authorities, such as the US Centers for Disease Control or the World Health Organization. These original data sources include both open- and restricted-access sources. For restricted-access sources, the Project Tycho team has obtained permission for redistribution from data contributors. All datasets contain case count data that are identical to counts published in the original source and no counts have been modified in any way by the Project Tycho team. The Project Tycho team has pre-processed datasets by adding new variables, such as standard disease and location identifiers, that improve data interpretability. We also formatted the data into a standard data format.

Each Project Tycho dataset contains case counts for a specific condition (e.g. measles) and for a specific country (e.g. The United States). Case counts are reported per time interval. In addition to case counts, datasets include information about these counts (attributes), such as the location, age group, subpopulation, diagnostic certainty, place of acquisition, and the source from which we extracted case counts. One dataset can include many series of case count time intervals, such as "US measles cases as reported by CDC", or "US measles cases reported by WHO", or "US measles cases that originated abroad", etc.

Depending on the intended use of a dataset, we recommend a few data processing steps before analysis: - Analyze missing data: Project Tycho datasets do not include time intervals for which no case count was reported (for many datasets, time series of case counts are incomplete, due to incompleteness of source documents) and users will need to add time intervals for which no count value is available. Project Tycho datasets do include time intervals for which a case count value of zero was reported. - Separate cumulative from non-cumulative time interval series. Case count time series in Project Tycho datasets can be "cumulative" or "fixed-intervals". Cumulative case count time series consist of overlapping case count intervals starting on the same date, but ending on different dates. For example, each interval in a cumulative count time series can start on January 1st, but end on January 7th, 14th, 21st, etc. It is common practice among public health agencies to report cases for cumulative time intervals. Case count series with fixed time intervals consist of mutually exclusive time intervals that all start and end on different dates and all have identical length (day, week, month, year). Given the different nature of these two types of case count data, we indicated this with an attribute for each count value, named "PartOfCumulativeCountSeries".

This table is part of a series of tables that present a portrait of Canada based on the various census topics. The tables range in complexity and levels of geography. Content varies from a simple overview of the country to complex cross-tabulations; the tables may also cover several censuses.