This Public Schools feature dataset is composed of all Public elementary and secondary education facilities in the United States as defined by the Common Core of Data (CCD, https://nces.ed.gov/ccd/ ), National Center for Education Statistics (NCES, https://nces.ed.gov ), US Department of Education for the 2017-2018 school year. This includes all Kindergarten through 12th grade schools as tracked by the Common Core of Data. Included in this dataset are military schools in US territories and referenced in the city field with an APO or FPO address. DOD schools represented in the NCES data that are outside of the United States or US territories have been omitted. This feature class contains all MEDS/MEDS+ as approved by NGA. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the Place Keyword section of the metadata. This release includes the addition of 3065 new records, modifications to the spatial location and/or attribution of 99,287 records, and removal of 2996 records not present in the NCES CCD data.

This Private Schools feature dataset is composed of private elementary and secondary education facilities in the United States as defined by the Private School Survey (PSS, https://nces.ed.gov/surveys/pss/), National Center for Education Statistics (NCES, https://nces.ed.gov), US Department of Education for the 2017-2018 school year. This includes all prekindergarten through 12th grade schools as tracked by the PSS. This feature class contains all MEDS/MEDS+ as approved by NGA. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the Place Keyword section of the metadata. This release includes the addition of 2675 new records, modifications to the spatial location and/or attribution of 19836 records, the removal of 254 records no longer applicable. Additionally, 10,870 records were removed that previously had a STATUS value of 2 (Unknown; not represented in the most recent PSS data) and duplicate records identified by ORNL.

There is no description for this dataset.

This dataset includes the name, address, location and category of schools in Vancouver. Data currencyThe source data is updated by the BC Ministry of Education on an ongoing basis as changes occur. The school data available through the City's site was extracted from the Ministry site in July, 2009. Data accuracyThis data is maintained by the Ministry of Education; their site includes a form for submitting updates and corrections on information about the schools.

This dataset provides the number of students enrolled in private schools in Qatar, categorized by level of education, type of school, nationality, and gender. The data includes various educational levels, such as Nursery, as well as Arabic and Foreign school types. The dataset offers valuable insights into the distribution of students across different types of schools, nationalities (Qatari and Non-Qatari), and genders, helping to analyze trends in private school enrollment in Qatar.

Localisation of the colleges of the City of Paris. You can find on this link, the dataset of the School Sectors – Colleges. More information on Colleges: Paris.fr Access to the map of the school sectors of the City of Paris

There is no description for this dataset.

The Colleges and Universities feature class/shapefile is composed of all Post Secondary Education facilities as defined by the Integrated Post Secondary Education System (IPEDS, http://nces.ed.gov/ipeds/), National Center for Education Statistics (NCES, https://nces.ed.gov/), US Department of Education for the 2018-2019 school year. Included are Doctoral/Research Universities, Masters Colleges and Universities, Baccalaureate Colleges, Associates Colleges, Theological seminaries, Medical Schools and other health care professions, Schools of engineering and technology, business and management, art, music, design, Law schools, Teachers colleges, Tribal colleges, and other specialized institutions. Overall, this data layer covers all 50 states, as well as Puerto Rico and other assorted U.S. territories. This feature class contains all MEDS/MEDS+ as approved by the National Geospatial-Intelligence Agency (NGA) Homeland Security Infrastructure Program (HSIP) Team. Complete field and attribute information is available in the ”Entities and Attributes” metadata section. Geographical coverage is depicted in the thumbnail above and detailed in the "Place Keyword" section of the metadata. This feature class does not have a relationship class but is related to Supplemental Colleges. Colleges and Universities that are not included in the NCES IPEDS data are added to the Supplemental Colleges feature class when found. This release includes the addition of 175 new records, the removal of 468 no longer reported by NCES, and modifications to the spatial location and/or attribution of 6682 records.

Location of elementary schools in the City of Paris.

You can find the School sectors - Elementary schools.

< a href="https://www.paris.fr/pages/ecoles-elementaires-2070" target="_blank">More information on elementary schools: Paris.fr

Access to the map of the school sectors of the City of Paris< br/>

This statistic contains the total number of staff, teaching or administrative, by nationality and gender.

From the start of the year 2024, the city of Anglet adopted the principle of a sectorisation of schools.

This data indicates the school areas of the commune of Anglet, i.e. the school card according to the address of residence. Thus, for each street, the reference elementary school is attached.

The assignment of young Angloys shall take place in the school of the perimeter corresponding to the address of the domicile of the legal representative(s), within the limits of the capacity of the institution concerned.

_Note: this information is disseminated as an indication, it is not enforceable and cannot engage the responsibility of the City of Anglet, only the Directorate of Children and Youth of the City of Anglet is empowered to determine school conditions.

This dataset presents the number of teachers in public schools, categorized by level of education, nationality, and gender. It supports workforce planning and analysis within the public education sector.

This dataset provides information on the number of persons attending evening schools and illiteracy eradication centers in the State of Qatar. The data is classified by level of education (Primary), grade (e.g., First and Second Grade, Third and Fourth Grade, Fifth Grade), nationality (Qatari, Non-Qatari), and gender (Male, Female). It supports the analysis of literacy and education access among different population groups.

There is no description for this dataset.

Indicateurs académiques relatifs à l'éducation prioritaire, avec cumuls nationaux

Il n'y a pas de description pour ce jeu de données.

Localisation et coordonnées des rectorats d'académies et des vice-rectorats.Situation au 1er janvier 2020

The NIHR is one of the main funders of public health research in the UK. Public health research falls within the remit of a range of NIHR Research Programmes, NIHR Centres of Excellence and Facilities, plus the NIHR Academy. NIHR awards from all NIHR Research Programmes and the NIHR Academy that were funded between January 2006 and the present extraction date are eligible for inclusion in this dataset. An agreed inclusion/exclusion criteria is used to categorise awards as public health awards (see below). Following inclusion in the dataset, public health awards are second level coded to one of the four Public Health Outcomes Framework domains. These domains are: (1) wider determinants (2) health improvement (3) health protection (4) healthcare and premature mortality.More information on the Public Health Outcomes Framework domains can be found here.This dataset is updated quarterly to include new NIHR awards categorised as public health awards. Please note that for those Public Health Research Programme projects showing an Award Budget of £0.00, the project is undertaken by an on-call team for example, PHIRST, Public Health Review Team, or Knowledge Mobilisation Team, as part of an ongoing programme of work.Inclusion criteriaThe NIHR Public Health Overview project team worked with colleagues across NIHR public health research to define the inclusion criteria for NIHR public health research awards. NIHR awards are categorised as public health awards if they are determined to be ‘investigations of interventions in, or studies of, populations that are anticipated to have an effect on health or on health inequity at a population level.’ This definition of public health is intentionally broad to capture the wide range of NIHR public health awards across prevention, health improvement, health protection, and healthcare services (both within and outside of NHS settings). This dataset does not reflect the NIHR’s total investment in public health research. The intention is to showcase a subset of the wider NIHR public health portfolio. This dataset includes NIHR awards categorised as public health awards from NIHR Research Programmes and the NIHR Academy. This dataset does not currently include public health awards or projects funded by any of the three NIHR Research Schools or any of the NIHR Centres of Excellence and Facilities. Therefore, awards from the NIHR Schools for Public Health, Primary Care and Social Care, NIHR Public Health Policy Research Unit and the NIHR Health Protection Research Units do not feature in this curated portfolio.DisclaimersUsers of this dataset should acknowledge the broad definition of public health that has been used to develop the inclusion criteria for this dataset. This caveat applies to all data within the dataset irrespective of the funding NIHR Research Programme or NIHR Academy award.Please note that this dataset is currently subject to a limited data quality review. We are working to improve our data collection methodologies. Please also note that some awards may also appear in other NIHR curated datasets. Further informationFurther information on the individual awards shown in the dataset can be found on the NIHR’s Funding & Awards website here. Further information on individual NIHR Research Programme’s decision making processes for funding health and social care research can be found here.Further information on NIHR’s investment in public health research can be found as follows: NIHR School for Public Health here. NIHR Public Health Policy Research Unit here. NIHR Health Protection Research Units here. NIHR Public Health Research Programme Health Determinants Research Collaborations (HDRC) here. NIHR Public Health Research Programme Public Health Intervention Responsive Studies Teams (PHIRST) here.

Vill du ha information om skolor i kommunen kan du söka denna hos SkolverketSkolverkets öppna data innehåller en mängd information om skolor/utbildningsanordnare.Detta dataset innehåller information om personal och elevsammansättning för skolor i Umeå.Du finner information om Skolverkets öppna data här: https://www.skolverket.se/om-oss/oppna-data Datamängden uppdateras (hämtas/skapas) inte regelbundet av denna portal. Vill du ha aktuella data hänvisar vi dig till Skolverket.

This map depicts the schools within Salinas. This includes Colleges, Elementary, Middle, and High Schools. The information provided includes the district, address, zipcode, phone number, ages as well as type (public or private).