In a 2019 survey, 23 percent of grade 6-12 students reported that their teacher spent all of the class using digital learning technologies to teach in science, math, and history/social studies. All of these were significantly below computer science/information technology though, with 60 percent of surveyed students stating that they were taught using digital learning tools for the entire class.

Note the time teachers spend teaching a subject with digital tools was differentiated in the survey from the time students spent learning with digital learning tools. For almost all subjects, the time spent learning with digital tools was lower than the time spent teaching.

The municipality of Umeå is divided into key code areas, "nyckelkodsområden", The finest division of key code areas is the 6-digit divisionThis division is primarily made to facilitate the planning of various municipal activities based on the population distribution across different parts of the municipality.Please note that the map boundaries are only indicative.The dataset is typically updated once a year or as needed.For questions, contact analysgruppen@umea.se.

Since the beginning of the 1960s, Statistics Sweden, in collaboration with various research institutions, has carried out follow-up surveys in the school system. These surveys have taken place within the framework of the IS project (Individual Statistics Project) at the University of Gothenburg and the UGU project (Evaluation through follow-up of students) at the University of Teacher Education in Stockholm, which since 1990 have been merged into a research project called 'Evaluation through Follow-up'. The follow-up surveys are part of the central evaluation of the school and are based on large nationally representative samples from different cohorts of students.

Evaluation through follow-up (UGU) is one of the country's largest research databases in the field of education. UGU is part of the central evaluation of the school and is based on large nationally representative samples from different cohorts of students. The longitudinal database contains information on nationally representative samples of school pupils from ten cohorts, born between 1948 and 2004. The sampling process was based on the student's birthday for the first two and on the school class for the other cohorts.

For each cohort, data of mainly two types are collected. School administrative data is collected annually by Statistics Sweden during the time that pupils are in the general school system (primary and secondary school), for most cohorts starting in compulsory school year 3. This information is provided by the school offices and, among other things, includes characteristics of school, class, special support, study choices and grades. Information obtained has varied somewhat, e.g. due to changes in curricula. A more detailed description of this data collection can be found in reports published by Statistics Sweden and linked to datasets for each cohort.

Survey data from the pupils is collected for the first time in compulsory school year 6 (for most cohorts). Questionnaire in survey in year 6 includes questions related to self-perception and interest in learning, attitudes to school, hobbies, school motivation and future plans. For some cohorts, questionnaire data are also collected in year 3 and year 9 in compulsory school and in upper secondary school.

Furthermore, results from various intelligence tests and standartized knowledge tests are included in the data collection year 6. The intelligence tests have been identical for all cohorts (except cohort born in 1987 from which questionnaire data were first collected in year 9). The intelligence test consists of a verbal, a spatial and an inductive test, each containing 40 tasks and specially designed for the UGU project. The verbal test is a vocabulary test of the opposite type. The spatial test is a so-called ‘sheet metal folding test’ and the inductive test are made up of series of numbers. The reliability of the test, intercorrelations and connection with school grades are reported by Svensson (1971).

For the first three cohorts (1948, 1953 and 1967), the standartized knowledge tests in year 6 consist of the standard tests in Swedish, mathematics and English that up to and including the beginning of the 1980s were offered to all pupils in compulsory school year 6. For the cohort 1972, specially prepared tests in reading and mathematics were used. The test in reading consists of 27 tasks and aimed to identify students with reading difficulties. The mathematics test, which was also offered for the fifth cohort, (1977) includes 19 assignments. After a changed version of the test, caused by the previously used test being judged to be somewhat too simple, has been used for the cohort born in 1982. Results on the mathematics test are not available for the 1987 cohort. The mathematics test was not offered to the students in the cohort in 1992, as the test did not seem to fully correspond with current curriculum intentions in mathematics. For further information, see the description of the dataset for each cohort.

For several of the samples, questionnaires were also collected from the students 'parents and teachers in year 6. The teacher questionnaire contains questions about the teacher, class size and composition, the teacher's assessments of the class' knowledge level, etc., school resources, working methods and parental involvement and questions about the existence of evaluations. The questionnaire for the guardians includes questions about the child's upbringing conditions, ambitions and wishes regarding the child's education, views on the school's objectives and the parents' own educational and professional situation.

The students are followed up even after they have left primary school. Among other things, data collection is done during the time they are in high school. Then school administrative data such as e.g. choice of upper secondary school line / program and grades after completing studies. For some of the cohorts, in addition to school administrative data, questionnaire data were also collected from the students.

he sample consisted of students born on the 5th, 15th and 25th of any month in 1953, a total of 10,723 students.

The data obtained in 1966 were: 1. School administrative data (school form, class type, year and grades). 2. Information about the parents' profession and education, number of siblings, the distance between home and school, etc.

This information was collected for 93% of all born on the current days. The reason for this is reduced resources for Statistics Sweden for follow-up work - reminders etc. Annual data for cohorts in 1953 were collected by Statistics Sweden up to and including academic year 1972/73.

1. Answers to certain questions that shed light on students' school motivation, leisure activities and study and career plans. Some of the questions changed significantly compared to the cohort in 1948 due to the fact that they did not function satisfactorily from a metrological point of view.
2. Results on three aptitude tests, one verbal, one spatial and one inductive.
3. Standard test results in reading, writing, mathematics and English, which were offered to the students who belonged to year 6.

Response rate for test and questionnaire data is 88% Standard test results were received for just over 85% of those who took the tests.

The sample included a total of 9955 students, for whom some form of information was obtained.

Part of the "Individual Statistics Project" together with cohort 1953.

SUMMARYIdentifies Middle Layer Super Output Areas (MSOAs) with the greatest levels of excess weight in Year 6 age children (three year average between academic years 2016/17, 2017/18, 2018/19).Although this layer is symbolised based on an overall score for excess weight, the underlying data, including the raw data for Year 6 children, is included in the dataset.ANALYSIS METHODOLOGYEach MSOA was given a relative score between 1 and 0 (1 = worst, 0 = best) based on:A) the NUMBER of Year 6 children with excess weight and;B) the PERCENTAGE of Year 6 children with excess weight.An average of scores A & B was taken, and converted to a relative score between 1 and 0 (1= worst, 0 = best). The closer to 1 the score, the greater both the number and percentage of Year children with excess weight, compared to other MSOAs. In other words, those are areas where a large number of children have excess weight, and where those children make up a large percentage of the population of that age group, suggesting there is a real issue with childhood obesity in that area that needs addressing.DATA SOURCESNational Child Measurement Programme: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital. MSOA boundaries: © Office for National Statistics licensed under the Open Government Licence v3.0. Contains OS data © Crown copyright and database right 2021.COPYRIGHT NOTICEBased on data: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.; © Office for National Statistics licensed under the Open Government Licence v3.0. Contains OS data © Crown copyright and database right 2021. Data analysed and published by Ribble Rivers Trust © 2021.CaBA HEALTH & WELLBEING EVIDENCE BASEThis dataset forms part of the wider CaBA Health and Wellbeing Evidence Base.

This data for 2019 shows that most paid users who subscribed for high school EdTech services did so after 15 to 30 days of trial period in India, with 41 percent among grade six to eight students and 34 percent among grade nine to twelve students. Almost another third of the paid users had already subscribed within 15 days of their trial. Only a small percentage of the paid users had subscribed without testing or with a longer trial than a month.

About this dataset

Context

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

Key observations

Largest age group (population): Male # 5-9 years (6) | Female # 25-29 years (4). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Ritchey population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Ritchey is shown in the following column.
• Population (Female): The female population in the Ritchey 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 Ritchey 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 Ritchey Population by Gender. You can refer the same here

About this dataset

Context

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

Key observations

Largest age group (population): Male # 45-49 years (9) | Female # 10-14 years (6). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 St. Anthony population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the St. Anthony is shown in the following column.
• Population (Female): The female population in the St. Anthony 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 St. Anthony 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 St. Anthony Population by Gender. You can refer the same here

Repeaters in Grade 6 of primary education, both sexes (number) in Jamaica was reported at 2366 Persons in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Jamaica - Repeaters in Grade 6 of primary education, both sexes - actual values, historical data, forecasts and projections were sourced from the World Bank on May of 2025.

The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 149 zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than 394 zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just two percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of 19.2 percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached 6.7 zettabytes.

PDS: Transactions: TIPS: > 2<= 6 Years data was reported at 5.696 USD bn in 30 Apr 2025. This records an increase from the previous number of 4.157 USD bn for 23 Apr 2025. PDS: Transactions: TIPS: > 2<= 6 Years data is updated weekly, averaging 5.368 USD bn from Apr 2013 (Median) to 30 Apr 2025, with 631 observations. The data reached an all-time high of 16.431 USD bn in 25 Mar 2020 and a record low of 981.000 USD mn in 30 Dec 2015. PDS: Transactions: TIPS: > 2<= 6 Years data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.Z041: Primary Dealer Statistics: Transactions.

All data refer to pupils in schools with grades according to the target and knowledge-related grading system. Number of pupils in grade 6 with the lowest grade E in Swedish including Swedish as a second language divided by the number of students who have read the subject in grade 6. Multiplied by 100 for accounting as a percentage. Statistics as per cent from 2013. Refers to students registered in the municipality regardless of where they go to school. Students with unknown background are included. For these students, the municipality where they go to school is listed as a municipality of residence. Source: The National Board of Education and Statistics.

Question Paper Solutions of chapter Descriptive Statistics of Probability and Statistics, 2nd Semester , Master of Computer Applications (2 Years)

Brazil Population: Non Literate: South: 5 Years to 9 Years: 6 Years data was reported at 136,005.000 Person in 2010. This records a decrease from the previous number of 299,951.000 Person for 2000. Brazil Population: Non Literate: South: 5 Years to 9 Years: 6 Years data is updated yearly, averaging 299,951.000 Person from Jul 1991 (Median) to 2010, with 3 observations. The data reached an all-time high of 365,458.000 Person in 1991 and a record low of 136,005.000 Person in 2010. Brazil Population: Non Literate: South: 5 Years to 9 Years: 6 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAD058: Population: Non Literate: by Region.

The average grade score in each subject shows students’ average grades converted into points. The average grade score is calculated for students who have received grades (A-F). F=0; E=10; D=12.5; C=15; B=17.5 and A=20. It refers to independent schools in the municipality. Data is available according to gender breakdown.

Miaoli County Government Health Bureau's public solicitation of information on donations received from January to June 2017

The Survey of Health, Ageing and Retirement in Europe (SHARE), is a longitudinal micro-data infrastructure created in response to a communication by the European Commission (2000) to the Council and the European Parliament, which identified population ageing and its social and economic challenges to growth and prosperity to be among the most pressing challenges of the 21st century in Europe. SHARE has also become one of the most prestigious social science infrastructures and was in 2011 the first to be appointed a European Research Infrastructure Consortium (ERIC) by the European Council.The overarching objective of SHARE is to better understand the interactions between bio-medical factors, the socio-economic environment and policy interventions in the ageing European populations. SHARE aims to achieve this objective by providing a research infrastructure for fundamental science as well as a tool for policy evaluation and design. Initiated in 2002, SHARE is scheduled to launch, all in all, 10 data collection waves. At present eight waves have been fulfilled and seven waves are available to the research community.

Please also cite the following publications in addition to the SHARE acknowledgement:

Malter, F. and A. Börsch-Supan (Eds.) (2017). SHARE Wave 6: Panel innovations and collecting Dried Blood Spots. Munich: Munich Center for the Economics of Aging (MEA). Börsch-Supan, A., Brandt, M., Hunkler, C., Kneip, T., Korbmacher, J., Malter, F., Schaan, B., Stuck, S. and Zuber, S. (2013). Data Resource Profile: The Survey of Health, Ageing and Retirement in Europe (SHARE). International Journal of Epidemiology DOI: 10.1093/ije/dyt088.

Brazil Population: Literate: South: Paraná: 5 Years to 9 Years: 6 Years data was reported at 103,722.000 Person in 2010. This records an increase from the previous number of 73,089.000 Person for 2000. Brazil Population: Literate: South: Paraná: 5 Years to 9 Years: 6 Years data is updated yearly, averaging 73,089.000 Person from Jul 1991 (Median) to 2010, with 3 observations. The data reached an all-time high of 103,722.000 Person in 2010 and a record low of 38,270.000 Person in 1991. Brazil Population: Literate: South: Paraná: 5 Years to 9 Years: 6 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAD043: Population: Literate: by Municipality: South: Paraná.

Brochure Theme: S5 – Statistical data – Agriculture Under Theme: S510.A1 – Agricultural statistics

Population: Literate: Northeast: Paraíba: 5 Years to 9 Years: 6 Years data was reported at 29,989.000 Person in 2010. This records an increase from the previous number of 19,481.000 Person for 2000. Population: Literate: Northeast: Paraíba: 5 Years to 9 Years: 6 Years data is updated yearly, averaging 19,481.000 Person from Jul 1991 (Median) to 2010, with 3 observations. The data reached an all-time high of 29,989.000 Person in 2010 and a record low of 9,442.000 Person in 1991. Population: Literate: Northeast: Paraíba: 5 Years to 9 Years: 6 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAD025: Population: Literate: by Municipality: Northeast: Paraíba.