The Condition of America's Public School Facilities, 1999 (FRSS 73), is a study that is part of the Fast Response Survey System (FRSS) program; program data is available since 1998-99 at . FRSS 73 (https://nces.ed.gov/surveys/frss/) is a cross-sectional survey that collects and report data on key issues at public elementary and secondary schools in the United States. The sample for FRSS 73 included approximately 1000 public elementary, middle, and high schools. District personnel who were familiar with the condition of schools completed questionnaires for each sampled school in their districts. The study's weighted response rate was 91 percent. Key statistics produced from FRSS 73 provide information on the pervasiveness of air conditioning, the number of temporary classrooms, the number of days particular public schools were closed for repairs, planned construction, repairs, and additions, long range facilities plans, the age of public schools, overcrowding and practices used to address overcrowding, estimated costs for bringing facilities to a satisfactory condition, and the overall condition of roofs, floors, walls, plumbing, heating, electric facilities, and safety features.

Research project

The project “Educational Success and Social Participation of Socially and Educationally Disadvantaged Students with Migration Background in Extended Education” (abbr. in German: GeLeGanz) was funded by the German Federal Ministry of Education and Research (BMBF) under the funding code 01JB211A-C from 2021 to 2025.

Traditionally, the German education system is organized as a “half-day”-system; instruction usually takes place in the morning. Many stakeholders see the conversion from half-day to all-day schooling as a way of overcoming the challenges facing the system, including those posed by immigration. High expectations are attached to the expansion of all-day schooling, in particular the strengthening of the educational success and social participation of socially and educationally disadvantaged students with a migration background. As yet however, these goals have not been sufficiently achieved in Germany. Education systems in other countries have established comparable offerings of high quality that appear to be effective. The GeLeGanz project aims to use findings and knowledge from other countries to better exploit the potential of all-day schools in Germany, particularly at the primary school level. The primary focus of the GeLeGanz project is on the potential of all-day primary schools to improve the educational opportunities of socially and educationally disadvantaged students, in particular those who live in a migrant family.

GeLeGanz is a collaborative project, carried out by three partners.

Freie Universität Berlin (FU):

• Prof. Dr. Marianne Schüpbach (Coordinator of the collaborative project, Co-head of the subproject FU Berlin): marianne.schuepbach@fu-berlin.de
• Dr. Nanine Lilla (Co-head of the subproject FU Berlin): nanine.lilla@fu-berlin.de
• Dr. Haiqin Ning (Researcher, Operational coordinator of the collaborative project): haiqin.ning@fu-berlin.de
• Jule Schmidt (Researcher): jule.swaantje.schmidt@fu-berlin.de

German Children and Youth Foundation (DKJS):

• Anna-Margarete Davis (Co-head of the subproject DKJS): anna-margarete.davis@dkjs.de
• Nicola Andresen (Co-Lead of the subproject DKJS and school counselling): nicola.andresen@dkjs.de

University of Hamburg (UHH):

• Prof. Dr. Dr. h.c. mult. Ingrid Gogolin (head of the subproject UHH): gogolin@uni-hamburg.de
• Luise Krejcik (Researcher): luise.krejcik@uni-hamburg.de

To achieve the objectives, the project was divided into the following phases:

Phase I: Expert interviews with researchers from the German and international research context on their perception of quality features and conditions for the successful design of all-day schools.

Phase II: The experts were interviewed again to evaluate and further specify the results with regard to the target group. For this, they were provided with a summary of the statements made by researchers from the German and international research context in Phase I.

Phase III: Focus group interviews with various practice-oriented actors from the German all-day school context, based on the results of expert interviews, to gain information and assessments related to the implementation of measures that might improve all-day schooling in Germany.

Phase IV: Based on the insights gained in the first three parts of the project, materials and concepts should be developed together with practice partner DKJS and transfer partners.

Project website: https://www.ewi-psy.fu-berlin.de/en/v/geleganz/index.html

Data set in UHH

The present data set comprises 30 expert interviews with 15 researchers from the German education research community, which were collected as part of the GeLeGanz project in phase I and II.

Experts: 15 researchers were interviewed twice (1x in phase I and 1x in phase II of the project). All were experts with relevant research experience, but different perspectives on the project’s guiding questions: all-day schools, informal and nonformal education, cultural and language diversity, social inequality and school development. The interview partners were identified via a review of empirical research on conditions of educational success of socially disadvantaged children with a migrant background and the potential advantages of all-day schools.

Interview procedure & topics: A sequential approach was chosen for conducting the interviews: In Phase I, interviewees were asked for

1. research-based assessments of features of high-quality all-day schools, especially for the support of socially disadvantaged children with a migration history,
2. factors that promote or hinder participation in all-day schools’ offers,
3. assessments of the current all-day school landscape in Germany.

In Phase II, the experts were interviewed again. They were provided with a summary of the statements made by the German and international experts in interviews of phase I. Experts were invited to prioritize the mentioned quality features and the potential for adaptation and implementation in the German context.

A semi-structured, problem-centred approach was used to conduct the interviews (Witzel, 2000). The guidelines included narrative-generating impulse questions, follow-up questions to promote understanding and narrative generation, and ad hoc questions on the topics discussed. The interviews were conducted in German by two trained interviewers (online or analogous). All interviews were recorded based on informed consent.

Period of the survey: The interviews were conducted from March to December 2022.

Transcription & anonymization: The transcripts were initially computer-generated, then completely revised manually according to established transcription and anonymization rules (Rädiker and Kuckartz, 2019, p. 44f).

Contents of the data set UHH:

• Collected storage of the 30 interview transcripts in a single MAXQDA project (version 2022, MX22-file)
• Individual file of the 30 interview transcripts in Excel format (xls) and html format
• Anonymization and transcription rules, data naming scheme (pdf)

Note: The dataset is stored in the ZFMD repository of the University of Hamburg in both an open-access (DOI 10.25592/uhhfdm.14815) and a restricted-access version (DOI 10.25592/uhhfdm.14771). Both datasets are available from January 1, 2026. In the open access dataset, research-related data such as research projects and studies of the respondents are anonymized in addition to personal and school-related data. In the restricted access dataset, only the respondents' personal and school-related data are anonymized.

References:

Rädiker, S., & Kuckartz, U. (2019). Analyse qualitativer Daten mit MAXQDA: Text, Audio und Video. Springer Fachmedien.

Witzel, A. (2000). Das problemzentrierte Interview [25 Absätze]. Forum: Qualitative Social Research, 1(1), Article 22. http://nbnresolving.de/urn:nbn:de:0114-fqs0001228

The National Center for Education Statistics' (NCES) Education Demographic and Geographic Estimate (EDGE) program develops annually updated point locations (latitude and longitude) for public elementary and secondary schools included in the NCES Common Core of Data (CCD). The CCD program annually collects administrative and fiscal data about all public schools, school districts, and state education agencies in the United States. The data are supplied by state education agency officials and include basic directory and contact information for schools and school districts, as well as characteristics about student demographics, number of teachers, school grade span, and various other administrative conditions. CCD school and agency point locations are derived from reported information about the physical _location of schools and agency administrative offices. The point locations and administrative attributes in this data layer were developed from the 2020-2021 CCD collection. For more information about NCES school point data, see: https://nces.ed.gov/programs/edge/Geographic/SchoolLocations. For more information about these CCD attributes, as well as additional attributes not included, see: https://nces.ed.gov/ccd/files.asp.Notes: -1 or M Indicates that the data are missing. -2 or N Indicates that the data are not applicable. -9 Indicates that the data do not meet NCES data quality standards. All information contained in this file is in the public _domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

This data collection is a one-year follow-up of a sample of teachers who responded to the Teacher Questionnaire in the SCHOOLS AND STAFFING SURVEY, 1993-1994 [UNITED STATES]: REVISED VERSION (ICPSR 2748). The Teacher Follow-Up Survey was designed to update data on teacher career patterns and plans and to determine attrition rates. It queried a subsample of teachers who were in the profession during the school year 1993-1994 and has two components: teachers who left the teaching profession between the school years 1993-1994 and 1994-1995 (leavers) and teachers who remained in the profession (stayers). Information in this collection is given separately for public school teachers (Part 1) and private school teachers (Part 2). Questions were asked on topics such as current activity, occupation, career patterns, educational pursuits, future plans, attitudes toward the teaching profession, and overall job satisfaction.

Abstract

The objectives in this ex-post performance evaluation target how the education sub-activity was implemented, if and how it has been sustained, and its perceived outcomes. To meet these objectives, MCC and Social Impact, Inc. (SI), outlined four evaluation questions: 1. What are the current conditions of MCC investments made for the education sub-activity? How do the conditions of MCC investments compare to non-MCC-supported sites? 2. How did the implementation process and/or post-completion maintenance contribute to current conditions of MCC investments? 3. What other factors explain both perceived school-level outcomes and the current conditions of schools? 4. What are the perceived outcomes of the investments in school infrastructure?

To answer the evaluation questions, SI supplemented existing data with two distinct but related data collection activities: first, a school conditions survey to answer Evaluation Question 1, and second, cross-case studies to answer Evaluation Questions 2, 3, and 4.

Overall findings show that on average, MCC schools are in better condition than non-MCC schools, while schools in the Southern zone are in better condition, on average, compared to those in Afram zone and Northern zone.

Qualitative data shows that differences in implementation and maintenance practices had an effect on the current condition of schools. Lack of maintenance funding and community buy-in were identified as major barriers to maintenance. Respondents also highlighted misuse of school facilities by community members (across all zones and schools), harsh weather (primarily in Afram and Northern zones, but all school types), and environment (primarily in low scoring MCC schools) adversely affected school conditions. However, PTAs and SMCs in high scoring MCC and non-MCC schools were more proactive in addressing these factors than those at low-scoring MCC schools. The perception across all zones in all study schools was that improvements in infrastructure positively affected enrollment, attendance, completion and learning.

Geographic coverage

Data was collected from schools in the three zones where MCC interventions took place: Afram Basin, Northern Region and Southern Horticulture Zone.

Analysis unit

School

Universe

All the schools that had been considered for the MCC education intervention.

Kind of data

Sample survey data [ssd]

Sampling procedure

MCC schools: All 221 schools that received MCC funding were included in the study. Non-MCC schools: All 337 remaining schools that (1) had been considered for MCC funding but didn't receive it and (2) that MiDA could provide names for.

Sampling deviation

N/A

Research instrument

Quantitative questionnaire: School Conditions Survey The school conditions survey was a systematic examination of current school infrastructure conditions against international standards, GoG building guidelines, and the MiDA maintenance manual. The enumerators scored different aspects of school infrastructure, including the condition of school grounds, classroom blocks, equipment and furniture, and toilet facilities and polytanks. Ratings of condition were made on a three-point system-poor, average, and good-and each rating was followed up with a photograph of the object being rated.

Qualitative questionnaires: Key informant interviews (KIIs), focus group discussions (FGDs), and community score cards (CSCs) were conducted with parents, students, teachers, school leaders or headmasters, district education officers, individuals responsible for operations and management, construction consultants and implementers, MiDA and MCC staff, and a representative from the Ministry of Education. Questions were asked to understand the processes that may have led to the current conditions of school infrastructure, and perceptions of key stakeholders on the relationship between the investments made and school-level outcomes such as enrollment, attendance, completion, and learning.

Cleaning operations

Data cleaning was done for the school conditions survey. This included: - consistency checks and removing duplicate entries - coding and labeling variables - checks on ratings by enumerators - corrections made to 'Don't Know' ratings where a rating could be given from the photograph

Response rate

MCC schools: All 221 schools surveyed Non-MCC schools: 192 schools out of 337 could be surveyed. This is because many of the schools in the list provided by MiDA were duplicates (already included in the MCC funded list).

Sampling error estimates

N/A

The survey focused on the well-being of staff in primary and secondary schools and upper secondary institutions in Finland. Staff opinions on school facilities, working conditions, social relationships, and means for self-fulfilment in school were studied, as well as their perceived health status. The survey contained both statements and multiple choice questions. The respondents indicated to what extent they agreed with the statements using a five-point scale (i.e. from "strongly agree" to "strongly disagree"). School facilities were studied with a number of questions about the classroom (e.g. size, temperature, ventilation, desks), toilet facilities, the dining room, the schoolyard and the school building (e.g. safety, functionality). Access to the school nurse and counselling supervision were charted as well as opinions on the school timetable, school rules and punishments, order in the classroom, pace of work, and the workload. The statements relating to social relationships canvassed relations between staff members and between staff members and students. The survey also covered opinions on whether parents were participating in solving problems concerning their children or in developing the school, and whether parents appreciated the work done by the staff or were willing to discuss issues with teachers if needed. Views were probed on whether the staff were treated equally, and whether it was easy to get along with the headmaster or get help from him/her if needed. In addition, the respondents were asked whether they had been bullied or harassed at work during the ongoing term and whether they themselves had bullied or harassed someone else. The statements on self-fulfilment explored different aspects of working in a school. Views were probed on whether staff opinions were taken into account in developing the school and in drawing up school rules, and whether the school encouraged staff to express their views. The respondents were asked whether they felt that their work is appreciated, whether they had found a suitable method for doing their work, and whether they received help from the headmaster/their supervisor if needed. Regarding health, the respondents were asked about their perceived general health and whether they had had various symptoms (e.g. stomach ache, sleeping problems, headache, fear, anxiety) during the ongoing term. Background variables included the respondent's gender, working hours (part-time or full time), number of years working in the school, and type of contract.

This statistical bulletin reports on the number of schools that closed and for how long they were closed during extreme weather conditions.

Source agency: Welsh Government

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: School Closures Due to Extreme Weather Conditions

School environment refers to the set of relationships that occur among members of a school community that are determined by structural, personal, and functional factors of the educational institution, which provide distinctiveness to schools. The school environment is an important factor when evaluating student well-being. Previous findings have shown that variables such as physical, academic, and social dimensions influence school environments. This research seeks to explain the relationship between school environment and the well-being of primary education students. To carry out this research, a total of 405 students from four public elementary schools in northwestern Mexico were selected to participate. The instrument used to measure the variables and the relationship of school environment and well-being is based on the three dimensions of school environment proposed by Kutsyuruba et al. (2015): Physical, social, and academic. Statistical analyses were carried out to determine the reliability and validity of the measurement scales using SPSS V20 and EQS software. Confirmatory factor analysis models were tested to determine the construct validity of each scale; then, an analysis via structural equation modeling was made to form an explanatory model obtaining acceptable practical and statistical indicators. Among the relationships in this study, our research identified the variable of school environments as an outcome determined by physical, academic, and social factors. School environment and student well-being variables were also found to be correlated.

In a column published in the newspaper Le Monde at the beginning of September 2022, some left-wing deputies expressed their concern about the situation of the school, which, according to them, contravenes the commitments of the United Nations Convention on the Rights of the Child (UNCRC). Interviewed at the same time, nearly one French person in ten was willing to take to the streets to demonstrate over the current state of the school system. This inclination to mobilize was much higher among younger people. Indeed, the proportion of French people aged between 18 and 24 stating that they were ready to demonstrate was 4.5 times higher than that of people aged over 65, and twice as high as the national average. Concerns among the French population The education system ranks among the most worrying issues according to the population, and the level of concern has even increased over the past few months. While most French people feel that the early childhood education system is working quite well, or even very well, more than a third considered that the primary education system was functioning poorly in 2022, and nearly three out of five felt the same way about middle and high schools. When surveyed shortly before the start of the school year, they also seemed rather pessimistic about the perspectives for improvement in the French education system: for about 70 percent of them, the quality of education was worsening in secondary schools, and more than half held the same opinion about elementary schools. A crisis of the school system? Of the approximately 717,800 public sector teaching positions in France in 2021, resignations represent only a small portion, but their gradual increase over the past several years send a negative signal. In the 2012-2013 school year, 491 teachers chose to leave the French education system permanently. In 2020-2021, there were 2,978, over six times more. Moreover, according to the Ministry's figures, out of the 27,332 positions opened in 2022, only 19,838 had been filled in the public sector, and 3,482 in the private sector. It thus seems that articles 28 and 29 of the UNCRC, devoted to the right to education and personal development of children, are not applied, insofar as the lack of teachers and AESH (accompanying persons for students with disabilities) does not allow children to benefit from this right. In addition, this teacher shortage implies that the number of students per class is high. Indeed, despite its progress in reducing class sizes in schools, France is still behind other OECD countries. In 2019, a French public elementary school teacher had an average of about 18 students per class, compared to about ten in Norway, between 12 and 13 in Belgium and Spain, with the OECD average at 14.5.
Addressing the deterioration of the education system Among the measures that could improve the performance of the education system, improving teacher training and evaluation is perceived as a priority by the population. In addition, a large proportion of those surveyed before the start of the 2022 school year, and particularly sympathizers of left-wing parties, consider that it is urgent to recruit more teachers. Yet, while there is no single explanation for the recruitment crisis, which is multifactorial, the issue of salary is central. A Senate report published at the end of 2021 estimates that, in constant euros, i.e. after taking into account the impact of inflation, French teachers have lost between 15 and 25 percent of their salary over the past two decades. Their salary level is also among the lowest of the OECD countries: in 2019, a French elementary school teacher had a starting salary of 31,300 U.S. dollars per year, placing France far behind other European countries like Luxembourg (70,295 U.S. dollars), Germany (63,257 U.S. dollars), or Spain (42,215 U.S. dollars). Increasing teachers' salaries would thus be one of the measures that could make the profession more attractive.

Abstract Instances of school institutions directly intervene on the public schools (state and municipal) in the city of São Paulo. There is a “dynamic of interferences”: a set of frequent and direct interventions in the class, normally connected to the enactment of educational policies. This accumulation of projects in the schools lead to constant interruptions in teachers’ work. We have researched its consequences on teachers and school education, based on the analysis of official texts and teachers’ statements. We have found that, though such policies are supported by a discourse of quality in education, according to the teachers the dynamic of interferences hinders teachers’ work and, possibly, school education.

The majority of respondents stated that schools should ensure better hygienic conditions if they open as of February 2021. At the same time, 44.8 percent of respondents believed that the authorities should also provide with a safe transportation to and from school.

Condition of Public School Facilities, 2012-13 (FRSS 105), is a study that is part of the Fast Response Survey System (FRSS) program; program data is available since 1998-99 at https://nces.ed.gov/surveys/frss/downloads.asp that will provide national data about the condition of public schools in 2012 based on a survey conducted by NCES. FRSS 105 (https://nces.ed.gov/surveys/frss/index.asp) is a cross-sectional survey that collects and report data on key education issues at the elementary and secondary levels. The study was conducted using questionnaires of principals. Schools in September 2012 were sampled. The study's weighted response rate was 90 percent. Key statistics produced from FRSS 105 will provide information about the condition of school facilities and the costs to bring them into good condition; school plans for repairs, renovations, and replacements; the age of public schools; and school improvements to increase energy efficiency.

Abstract (en): The National Center for Early Development and Learning (NCEDL) combined the data of two major studies in order to understand variations among state-funded pre-kindergarten (pre-k) programs and in turn, how these variations relate to child outcomes at the end of pre-k and in kindergarten. The Multi-State Study of Pre-Kindergarten and the State-Wide Early Education Programs (SWEEP) Study provide detailed information on pre-kindergarten teachers, children, and classrooms in 11 states. By combining data from both studies, information is available from 721 classrooms and 2,982 pre-kindergarten children in these 11 states. Pre-kindergarten data collection for the Multi-State Study of Pre-Kindergarten took place during the 2001-2002 school year in six states: California, Georgia, Illinois, Kentucky, New York, and Ohio. These states were selected from among states that had committed significant resources to pre-k initiatives. States were selected to maximize diversity with regard to geography, program settings (public school or community setting), program intensity (full-day vs. part-day), and educational requirements for teachers. In each state, a stratified random sample of 40 centers/schools was selected from the list of all the school/centers or programs (both contractors and subcontractors) provided to the researchers by each state's department of education. In total, 238 sites participated in the fall and two additional sites joined the study in the spring. Participating teachers helped the data collectors recruit children into the study by sending recruitment packets home with all children enrolled in the classroom. On the first day of data collection, the data collectors determined which of the children were eligible to participate. Eligible children were those who (1) would be old enough for kindergarten in the fall of 2002, (2) did not have an Individualized Education Plan, according to the teacher, and (3) spoke English or Spanish well enough to understand simple instructions, according to the teacher. Pre-kindergarten data collection for the SWEEP Study took place during the 2003-2004 school year in five states: Massachusetts, New Jersey, Texas, Washington, and Wisconsin. These states were selected to complement the states already in the Multi-State Study of Pre-K by including programs with significantly different funding models or modes of service delivery. In each of the five states, 100 randomly selected state-funded pre-kindergarten sites were recruited for participation in the study from a list of all sites provided by the state. In total, 465 sites participated in the fall. Two sites declined to continue participation in the spring, resulting in 463 sites participating in the spring. Participating teachers helped the data collectors recruit children into the study by sending recruitment packets home with all children enrolled in the classroom. On the first day of data collection, the data collectors determined which of the children were eligible to participate. Eligible children were those who (1) would be old enough for kindergarten in the fall of 2004, (2) did not have an Individualized Education Plan, according to the teacher, and (3) spoke English or Spanish well enough to understand simple instructions, according to the teacher. Demographic information collected across both studies includes race, teacher gender, child gender, family income, mother's education level, and teacher education level. The researchers also created a variable for both the child-level data and the class-level data which allows secondary users to subset cases according to either the Multi-State or SWEEP study. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed recodes and/or calculated derived variables.. Response Rates: Multi-State: Of the 40 sites per state, 78 percent of eligible sites agreed to participate (fall of pre-k, n = 238). For fall of pre-k (n = 238), 94 percent of the one classroom per site selected agreed to participate. For fall (n = 940) and spring (n = 960) of pre-k, 61 percent of the parents of eligible children consented.; SWEEP: Of the 10...

Historical Dataset of Dekalb Agriculture Technology And Environment School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2011-2023),Total Classroom Teachers Trends Over Years (2011-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2011-2023),Asian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2012-2023),Black Student Percentage Comparison Over Years (2012-2023),Two or More Races Student Percentage Comparison Over Years (2012-2023),Diversity Score Comparison Over Years (2012-2023),Free Lunch Eligibility Comparison Over Years (2011-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2011-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)

This survey is a followup to the Teacher Survey from SCHOOLS AND STAFFING SURVEY, 1990-1991: UNITED STATES and is the fifth component of the Schools and Staffing Survey (SASS), conducted one year after the base-year data collection. The 1991-1992 Teacher Followup Survey (TFS), designed to update data on teacher career patterns and plans and to determine attrition rates, queried a subsample of teachers in the profession during the school year 1990-1991 and had two components: teachers who left the teaching profession between the school years 1990-1991 and 1991-1992 (former teachers) and teachers who remained in the profession (current teachers). For both groups, questions were asked on topics such as current activity, occupation, career patterns, educational pursuits, future plans, attitudes toward the teaching profession, and overall job satisfaction. Data are also available on teachers who remained in the teaching profession but moved to different schools (movers).

This dataset tracks annual distribution of students across grade levels in Dekalb Agriculture Technology And Environment School

Abtsract This article describes the legal measures regarding the hygienic conditions of school buildings from the Moyano Act (1857) until the end of the Monarchical Restoration (1931). They are interpreted in the light of primary sources - administration reports and writings of teachers describing their school buildings- that contrast with the hygienic and pedagogical theories of that time. The main conclusion is that local authorities, who were the responsible, failed to fulfill those regulations and used to rent unhealthy buildings, where children were deprived of essential elements such as light, air and space. The pedagogical and hygienic conditions were really uncontrolled.

This study sought to advance understanding of how school climate is a critical factor in school safety and violence prevention. Middle school and high school students and staff were surveyed over the span of eight years from 2013-2020. Middle school students and staff were surveyed during odd years (4 waves of data collection), and high school students and staff were surveyed the other even years (again four years of data collection). All four years of data per group were combined into a single dataset. A final file was created pooling all eight years of data collection averaging student and staff responses by school. Both the student and teacher/staff surveys covered two domains: school climate and safety conditions. The school climate domain included perceptions of the school's disciplinary practices, student support efforts, and degree of student engagement in school. The safety conditions domain covered reports of bullying, teasing, sexual harassment, and other forms of peer aggression, including threats of violence, physical assault, dating aggression, and gang activity. Previous research conducted by the Principal Investigators showed that an authoritative school climate characterized by high structure (strict but fair discipline and high academic expectations) and high support (positive teacher-student relationships) is associated with many positive outcomes. Students who attend schools with an authoritative school climate demonstrated more engagement in school, have higher school attendance and academic achievement, and are more likely to graduate. Students who experience a structured and supportive school climate may be more willing to follow school rules, respond to their teachers, and treat one another in a respectful manner. This study continues that prior work.

This dataset shows estimated condition backlog by CYC maintained school, 'condition element' (roofs, windows etc), condition grading and priority grading. Condition and priority gradings, which are combined to give a single score for each issue, are as follows:

Condition

A: Good / B: Satisfactory / C: Poor / D: Bad

Priority

1: Urgent / 2: Essential / 3: Desirable / 4: Long term

These data are collected through condition surveys of school properties carried out periodically. No surveys are currently scheduled for 2015.

The level of government maintenance grant funding received by the Local Authority determines how many issues can be addressed in any one financial year.

Number of replies “to a very large extent” or “to a fairly large extent” to the question: “To what extent are organisational conditions in the school that promote interaction between teachers?” divided by the total number of respondents to the question where the pedagogical staff have indicated that they are working in elementary school. The survey is conducted every two years in half of the country’s municipalities, so during a cycle over two years all schools in the country participate. For data at municipal level, the data refer only to pupils in municipal schools in the municipality in question.