This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from Georgia Department of Education to show public school enrollment and student characteristics, including gifted/special education/English learner status, absences/withdrawal, and Milestones assessment scores, for 2016, by census tract in the Atlanta region.

Attributes:

GEOID10 = 2010 Census tract identifier (combination of FIPS codes for state, county, and tract)

County = County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

Area_Name = 2010 Census tract number and county name

Total_Population_ACS_2016 = # Total population estimate, 2016 (American Community Survey)

Total_Population_ACS_MOE_2016 = # Total population estimate (Margin of Error), 2016 (American Community Survey)

Planning_Region = Planning region designation for ARC purposes

AcresLand = Land area within the tract (in acres)

AcresWater = Water area within the tract (in acres)

AcresTotal = Total area within the tract (in acres)

SqMi_Land = Land area within the tract (in square miles)

SqMi_Water = Water area within the tract (in square miles)

SqMi_Total = Total area within the tract (in square miles)

TRACTCE10 = Census tract Federal Information Processing Series (FIPS) code. Census tracts are identified by an up to four-digit integer number and may have an optional two-digit suffix; for example 1457.02 or 23. The census tract codes consist of six digits with an implied decimal between the fourth and fifth digit corresponding to the basic census tract number but with leading zeroes and trailing zeroes for census tracts without a suffix. The tract number examples above would have codes of 145702 and 002300, respectively.

CountyName = County Name

TOT_STUDENTS_ENROLLED_SCHOOL_YR = Total count of students enrolled at any time during the school year

SUBSET_STUDENTS_GRADES_PK_5 = Subset of total students - any student in grades PK-5

SUBSET_STUDENTS_GRADES_6_8 = Subset of total students - any student in grades 6-8

SUBSET_STUDENTS_GRADES_9_12 = Subset of total students - any student in grades 9-12

PCT_GRADES_PK_5 = Percent in grades PK-5

PCT_GRADES_6_8 = Percent in grades 6-8

PCT_GRADES_9_12 = Percent in grades 9-12

STUDENT_SERVED_BY_SPECIAL_ED = Student served by special education program

PCT_SERVED_BY_SPECIAL_ED = Percent served by special ed program

STUDENT_SERVED_BY_GIFTED = Student served by Gifted program

PCT_SERVED_BY_GIFTED = Percent served by gifted program

STUDENT_IS_ENGLISH_LEARNER = Student is a member of the English Learner student group (EL=Y or EL=Monitored Status)

PCT_ENGLISH_LEARNER = Percent in English Learner Student group

CT_RETAINED_STUDTS = Retained Student Count

PCT_RETAINED_STUDTS = Percent of Retained Students

CT_HOMELESS_UNACCOMP_STUDTS = Count of Homeless Students (Marked either "Homeless" or "Unaccompanied Youth" in SR)

PCT_HOMELESS = Percent homeless

CT_STUDTS_PARENT_ACTV_MILITARY = Count of students with parent(s) in Active Military

PCT_STUDTS_PARENT_ACTV_MILITARY = Percent students with parents in Active Military

CT_MID_STUDENTS_WITHDRAW_HOME = Grade 6-8 students withdrawn during school year, reason "H" (Withdrawn to Homeschool)

PCT_MID_STUDENTS_WITHDRAW_HOME = Percent of Middle School students withdrawn for homeschool

CT_HS_STUDENTS_WITHDRAW_HOME = Grade 9-12 students withdrawn during school year, reason "H" (Withdrawn to Homeschool)

PCT_HS_STUDENTS_WITHDRAW_HOME = Percent of High School students withdrawn for homeschool

CT_MID_STUDENTS_WITHDRAW_DJJ = Grade 6-8 students withdrawn during school year, reason "4" (Withdrawn to DJJ)

PCT_MID_STUDENTS_WITHDRAW_DJJ = Percent of Middle School students withdrawn to Department of Juvenile Justice

CT_HS_STUDENTS_WITHDRAW_DJJ = Grade 9-12 students withdrawing during school year with reason "4" (Withdrawn to DJJ)

PCT_HS_STUDENTS_WITHDRAW_DJJ = Percent of High School students withdrawn to Department of Juvenile Justice

CT_STUDENTS_WITHDRAW_ANY = Students withdrawn, any reason, 1 mo. after beginning school yr., 1 mo. before end school yr.

PCT_STUDENTS_WITHDRAW_ANY = Percent withdrawn, any reason, 1 mo. after beginning school yr., 1 mo. before end school yr.

STUDENTS_ABSENT_0_5_days = Absence Bracket A Student Count - Students absent 0-5 days

PCT_STUDENTS_ABSENT_0_5_days = Percent students absent 0-5 days

STUDENTS_ABSENT_6_15_days = Absence Bracket B Student Count - Students absent 6-15 days

PCT_STUDENTS_ABSENT_6_15_days = Percent students absent 6-15 days

STUDENTS_ABSENT_16_MORE_DAYS = Absence Bracket C Student Count - Students absent 16 or More days

PCT_STUDTS_ABSENT_16_MORE_DAYS = Percent students absent more than 15 days

CT_STUDTS_REC_DISCIPLINE = Count of students receiving any discipline event records during school year

PCT_STUDTS_ABS_REC_DISCIPLINE = Percent students absent receiving any discipline event

CT_STUDTS_OSS_MORE_10_days = Students assigned to Out of School Suspension for more than 10 days during school year

PCT_STUDTS_OSS_MORE_10_days = Percent students assigned to Out of School Suspension for more than 10 days

CT_STUDTS_ISS_MORE_10_days = Students assigned to In School Suspension for more than 10 days during school year

PCT_STUDTS_ISS_MORE_10_days = Percent students assigned to In School Suspension for more than 10 days

CT_GRD3_MILES_EOG_ELA_PRO_DIS = Count of Grade 3 Milestones EOG ELA Test Takers Scoring PRO or DIS

PCT_GRD3_MILES_EOG_ELA_PRO_DIS = Percent of Grade 3 Milestones EOG ELA Test Takers Scoring PRO or DIS

CT_GRD5_MILES_EOG_ELA_PRO_DIS = Count of Grade 5 Milestones EOG ELA Test Takers Scoring PRO or DIS

PCT_GRD5_MILES_EOG_ELA_PRO_DIS = Percent of Grade 5 Milestones EOG ELA Test Takers Scoring PRO or DIS

CT_GRD8_MILES_EOG_ELA_PRO_DIS = Count of Grade 8 Milestones EOG ELA Test Takers Scoring PRO or DIS

PCT_GRD8_MILES_EOG_ELA_PRO_DIS = Percent of Grade 8 Milestones EOG ELA Test Takers Scoring PRO or DIS

CT_GRD3_MILES_EOG_MATH_PRO_DIS = Count of Grade 3 Milestones EOG Math Test Takers Scoring PRO or DIS

PCT_GRD3_MILES_EOG_MATH_PRO_DIS = Percent of Grade 3 Milestones EOG Math Test Takers Scoring PRO or DIS

CT_GRD5_MILES_EOG_MATH_PRO_DIS = Count of Grade 5 Milestones EOG Math Test Takers Scoring PRO or DIS

PCT_GRD5_MILES_EOG_MATH_PRO_DIS = Percent of Grade 5 Milestones EOG Math Test Takers Scoring PRO or DIS

CT_GRD8_MILES_EOG_MATH_PRO_DIS = Count of Grade 8 Milestones EOG Math Test Takers Scoring PRO or DIS

PCT_GRD8_MILES_EOG_Math_PRO_DIS = Percent of Grade 8 Milestones EOG Math Test Takers Scoring PRO or DIS

CT_MILES_EOC_ALGEBRA_PRO_or_DIS = Count of Milestones EOC Algebra Test Takers Scoring PRO or DIS

PCT_MILES_EOC_ALGEBRA_PRO_DIS = Percent of Milestones EOC Algebra Test Takers Scoring PRO or DIS

DENOM_TOT_GRD3_MILES_EOG_ELA = Denominator - Total Count of Grade 3 Milestones EOG ELA Test Takers

DENOM_TOT_GRD5_MILES_EOG_ELA = Denominator - Total Count of Grade 5 Milestones EOG ELA Test Takers

DENOM_TOT_GRD8_MILES_EOG_ELA = Denominator - Total Count of Grade 8 Milestones EOG ELA Test Takers

DENOM_TOT_GRD3_MILES_EOG_MATH = Denominator - Total Count of Grade 3 Milestones EOG Math Test Takers

DENOM_TOT_GRD5_MILES_EOG_MATH = Denominator - Total Count of Grade 5 Milestones EOG Math Test Takers

DENOM_TOT_GRD8_MILES_EOG_MATH = Denominator - Total Count of Grade 8 Milestones EOG Math Test Takers

DENOM_TOT_MILES_EOC_ALG_TAKERS = Denominator - Total Count of Milestones EOC Algebra Test Takers

last_edited_date = Last date the feature was edited by ARC

Source: Georgia Department of Education, Atlanta Regional Commission

Date: 2016

For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com.

Data includes: board and school information, grade 3 and 6 EQAO student achievements for reading, writing and mathematics, and grade 9 mathematics EQAO and OSSLT. Data excludes private schools, Education and Community Partnership Programs (ECPP), summer, night and continuing education schools.

How Are We Protecting Privacy?

Results for OnSIS and Statistics Canada variables are suppressed based on school population size to better protect student privacy. In order to achieve this additional level of protection, the Ministry has used a methodology that randomly rounds a percentage either up or down depending on school enrolment. In order to protect privacy, the ministry does not publicly report on data when there are fewer than 10 individuals represented.

* Percentages depicted as 0 may not always be 0 values as in certain situations the values have been randomly rounded down or there are no reported results at a school for the respective indicator. * Percentages depicted as 100 are not always 100, in certain situations the values have been randomly rounded up.

The information in the School Information Finder is the most current available to the Ministry of Education at this time, as reported by schools, school boards, EQAO and Statistics Canada. The information is updated as frequently as possible.

This information is also available on the Ministry of Education's School Information Finder website by individual school.

Descriptions for some of the data types can be found in our glossary.

School/school board and school authority contact information are updated and maintained by school boards and may not be the most current version. For the most recent information please visit: https://data.ontario.ca/dataset/ontario-public-school-contact-information.

Office for National Statistics' national and subnational Census 2021. Schoolchildren and full-time studentsThis dataset provides Census 2021 estimates that classify all usual residents aged 5 years and over in England and Wales. The estimates are as at Census Day, 21 March 2021. Schoolchild or full-time student indicator definition: Indicates whether a person aged 5 years and over was in full-time education on Census Day, 21 March 2021. This includes schoolchildren and adults in full-time education.Schoolchildren and students in full-time education studying away from home are treated as usually resident at their term-time address.Comparability with 2011: Broadly comparable.We have removed the category Schoolchild or full-time student for Census 2021 and replaced it with Student. In the 2011 Census people aged 4 years and over were asked to answer the question, in Census 2021 people aged 5 years and over were asked to answer the question. This data is issued at (BGC) Generalised (20m) boundary type for:Country - England and WalesRegion - EnglandUTLA - England and WalesLTLA - England and WalesWard - England and WalesMSOA - England and WalesLSOA - England and WalesOA - England and WalesIf you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com.The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system.Read more about the NDS.

Background

The main population base for published statistical tables from the 2011 Census in Northern Ireland is the usual resident population base as at Census day, 27 March 2011. By way of background, for 2011 Census purposes a usual resident of the United Kingdom (UK) is anyone who, on Census day, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and had intended to be outside the UK for less than 12 months.

Against this background, the 2011 Census Microdata Sample of Anonymised Records (SARs) Teaching File comprises a sample of 19,862 records (approximately 1 per cent) relating to people who were usually resident in Northern Ireland at the time of the 2011 Census. For each individual, information is available for seventeen separate characteristics (for example, sex, age, marital status) to varying degrees of detail. Both the size of the sample and the content of the records in the file have been harmonised, wherever possible, with the equivalent SARs teaching file that the Office for National Statistics simultaneously released for England and Wales.

Purpose

The primary purpose of the teaching file, which comprises unit-record level data as opposed to statistical aggregates, is as an educational tool aimed at:

• encouraging wider use of Census data by facilitating another way of examining Census data, for example through the building of statistical models, over and above that already available through the raft of standard tabular output released to date;
• providing a broad insight into the sort of detail that is generally included in a SARs product, along with data formats and any associated metadata. This will enable users (arguably those less experienced at using SARs products) to ‘play’ with the data and increase their knowledge and skills in readiness for accessing the more detailed SARs products that are planned and will be available in, for example, a safe setting; and
• assisting with the teaching of statistics and geography at GCSE and higher levels.

"Enrollment counts are based on the October 31 Audited Register for the 2017-18 to 2019-20 school years. To account for the delay in the start of the school year, enrollment counts are based on the November 13 Audited Register for 2020-21 and the November 12 Audited Register for 2021-22. * Please note that October 31 (and November 12-13) enrollment is not audited for charter schools or Pre-K Early Education Centers (NYCEECs). Charter schools are required to submit enrollment as of BEDS Day, the first Wednesday in October, to the New York State Department of Education." Enrollment counts in the Demographic Snapshot will likely exceed operational enrollment counts due to the fact that long-term absence (LTA) students are excluded for funding purposes. Data on students with disabilities, English Language Learners, students' povery status, and students' Economic Need Value are as of the June 30 for each school year except in 2021-22. Data on SWDs, ELLs, Poverty, and ENI in the 2021-22 school year are as of March 7, 2022. 3-K and Pre-K enrollment totals include students in both full-day and half-day programs. Four-year-old students enrolled in Family Childcare Centers are categorized as 3K students for the purposes of this report. All schools listed are as of the 2021-22 school year. Schools closed before 2021-22 are not included in the school level tab but are included in the data for citywide, borough, and district. Programs and Pre-K NYC Early Education Centers (NYCEECs) are not included on the school-level tab. Due to missing demographic information in rare cases at the time of the enrollment snapshot, demographic categories do not always add up to citywide totals. Students with disabilities are defined as any child receiving an Individualized Education Program (IEP) as of the end of the school year (or March 7 for 2021-22). NYC DOE "Poverty" counts are based on the number of students with families who have qualified for free or reduced price lunch, or are eligible for Human Resources Administration (HRA) benefits. In previous years, the poverty indicator also included students enrolled in a Universal Meal School (USM), where all students automatically qualified, with the exception of middle schools, D75 schools and Pre-K centers. In 2017-18, all students in NYC schools became eligible for free lunch. In order to better reflect free and reduced price lunch status, the poverty indicator does not include student USM status, and retroactively applies this rule to previous years. "The school’s Economic Need Index is the average of its students’ Economic Need Values. The Economic Need Index (ENI) estimates the percentage of students facing economic hardship. The 2014-15 school year is the first year we provide ENI estimates. The metric is calculated as follows: * The student’s Economic Need Value is 1.0 if: o The student is eligible for public assistance from the NYC Human Resources Administration (HRA); o The student lived in temporary housing in the past four years; or o The student is in high school, has a home language other than English, and entered the NYC DOE for the first time within the last four years. * Otherwise, the student’s Economic Need Value is based on the percentage of families (with school-age children) in the student’s census tract whose income is below the poverty level, as estimated by the American Community Survey 5-Year estimate (2020 ACS estimates were used in calculations for 2021-22 ENI). The student’s Economic Need Value equals this percentage divided by 100. Due to differences in the timing of when student demographic, address and census data were pulled, ENI values may vary, slightly, from the ENI values reported in the School Quality Reports. In previous years, student census tract data was based on students’ addresses at the time of ENI calculation. Beginning in 2018-19, census tract data is based on students’ addresses as of the Audited Register date of the g

Census 2021 data on international student population of England and Wales by country of birth, passport held, age, sex and other characteristics.

These datasets are part of the release: The changing picture of long-term international migration, England and Wales: Census 2021. Figures may differ slightly in future releases because of the impact of removing rounding and applying further statistical processes.

Figures are based on geography boundaries as of 1 April 2022.

This release includes comparisons to the folllowing 2011 Census data:

• Students in full-time education
• International students (by Region)
• International students by country of birth
• International students by Top 100 countries of birth

Quality notes can be found here

Quality information about demography and migration can be found here

Quality information about labour market can be found here

Usual resident

A usual resident is anyone who on Census Day, 21 March 2021 was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months.

International student

An international student is defined as someone who was a usual resident in England and Wales and meets all the following criteria:

• in-full-time education
• non-UK-born
• non-UK passport holder
• aged 17 years or over upon most recent arrival in the UK
• aged 18 years or over on Census Day.

Country of birth

The country in which a person was born. The following country of birth classifications are used in this dataset:

• Country of birth 12a: Political groupings of countries by EU membership and geographical location for non-EU countries.
• Country of birth 190a: Individual countries. This classification includes geographical groupings for low volume countries.
• Country of birth (3 categories): These categories have been derived from country of birth 12a and include all UK countries in "Europe: United Kingdom", all EU countries in "Europe: EU countries" and all remaining countries including British Overseas territories in "Non-EU countries (including British Overseas)".

More information about country of birth classifications can be found here.

Passports held

The country or countries that a person holds, or is entitled to hold, a passport for. Where a person recorded having more than one passport, they were counted only once, categorised in the following priority order: 1. UK passport, 2. Irish passport, 3. Other passport. The following classifications were created for this dataset for comparability with other international migration releases:

• Passports held (4 categories): High level political groupings of passport held by EU membership and geographical location for non-EU countries.
• Passports held (12 categories): Political groupings of passport held by EU membership and geographical location for non-EU countries.
• Passports held (150 categories): Individual countries for passport held. This classification includes geographical groupings for low volume countries.

More information can be found here

Economic activity status

The economic activity status of a person on Census Day, 21 March 2021. The following classification is used in this dataset:

• Economic activity status classification status_12a

Industry

The industry worked in for those in current employment. The following classification was used for this dataset:

• Industry (current) classification 22a

Student accommodation

Student accommodation breaks down household type by typical households used by students. This includes communal establishments, all student households, households containing a single family, households containing multiple families, living with parents and living alone.

More information can be found here

Second address indicator

The second address indicator is used to define an address (in or out of the UK) a person stays at for more than 30 days per year that is not their place of usual residence. Second addresses typically include: armed forces bases, addresses used by people working away from home, a student’s home address, the address of another parent or guardian, a partner’s address, a holiday home. There are 3 categories in this classification.

Detailed description can be found here

Main language (detailed)

This is used to define a person's first or preferred language. This breaks down the responses given in the write-in option "Other, write in (including British Sign Language)". There are 95 categories in the primary classification.

More details can be found here

Proficiency in English language

Proficiency in English language is used to determine how well a person whose main language is not English (English or Welsh in Wales) feels they can speak English. There are a total number of 6 categories in this classification.

More details can be found here

NOTE: For information on confidentiality protection, nonsampling error, and definitions, see http://www.census.gov/prod/cen2010/doc/sf2.pdf.Summary File 2 has a population threshold of 100. Data are available only for the population groups having a population of 100 or more of that specific group within a particular geographic area. .Source: U.S. Census Bureau, 2010 Census..NOTE: For information on the codes that appear in this table see http://www.census.gov/prod/cen2010/doc/sf2.pdf, Appendix F.

This dataset provides Census 2021 estimates that classify schoolchildren and full-time students aged 5 years and over in England and Wales by student accommodation and by age. The estimates are as at Census Day, 21 March 2021.

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Student accommodation type

Combines the living situation of students and school children in full-time education, whether they are living:

• alone
• in a student household
• with parents
• in a communal establishment, split by university and other communal establishment type
• in other household types

It also includes whether these households contain one or multiple families.

This variable is comparable with the student accommodation variable but splits the communal establishment type into “university” and “other” categories.

Age

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age.

Data Dictionary:LabelDefinitionDefinition SourceCensus_TractThe Census Tract that this data is regardingSyracuse City School District (SCSD)Poverty_NotReadyThe percentage of total students (poverty and non-poverty) who are both 1) in poverty and 2) who were tested not to be ready for Kindergarten.Syracuse City School District (SCSD)Poverty_Ready The percentage of total students (poverty and non-poverty) who are both 1) in poverty and 2) were tested to be ready for Kindergarten.Syracuse City School District (SCSD)PovertyPercentageThe percentage of the total students assessed who were reported to be living in poverty.Syracuse City School District (SCSD)NonPoverty_NotReadyThe percentage of total students (poverty and non-poverty) who are both 1) not in poverty and 2) who were tested not to be ready for Kindergarten.Syracuse City School District (SCSD)NonPoverty_ReadyThe percentage of total students (poverty and non-poverty) who are both 1) not in poverty and 2) who were tested to be ready for Kindergarten.Syracuse City School District (SCSD)NonPovertyPercentageThe percentage of the total students assessed who were reported to not be living in poverty.Syracuse City School District (SCSD)Student Count: The number of students who were counted in this group of students.Syracuse City School District (SCSD)Dataset Contact InformationOrganization: Syracuse City School District (SCSD)Position:Data Program ManagerCity:Syracuse, NYE-Mail Address:opendata@syrgov.netDisclaimer: This dataset is provided by an external partner to the City of Syracuse (Syracuse City School District). The City of Syracuse does not guarantee the accuracy or completeness of the information.

The dataset contains:number of employees and self-employed personsnumber of workers in public institutionsnumber of students broken down by census section (2011).- Data on workers in local units of enterprises refer to an estimated average annual valueUpdate:Enterprises -> 2019Public institutions -> 2017Students -> school year 2019/2020Enterprises: Istat, Statistical Register of Local Units (ASIA - UL) - Data as at 3/11/2021https://www.istat.it/en/archive/234627Public Institutions: Istat, Permanent Census of Public Institutions https://www.istat.it/en/archive/201209Schools: Municipality of Bologna, MIURFor more information and details consult the links below, the pages drawn up by the municipal statistical office:Link1Link2

Note: For information on data collection, confidentiality protection, nonsampling error, subject definitions, and guidance on using the data, visit the 2020 Census Demographic and Housing Characteristics File (DHC) Technical Documentation webpage..To protect respondent confidentiality, data have undergone disclosure avoidance methods which add "statistical noise" - small, random additions or subtractions - to the data so that no one can reliably link the published data to a specific person or household. The Census Bureau encourages data users to aggregate small populations and geographies to improve accuracy and diminish implausible results..For 2020 Group Quarters Definitions and Code List, see Appendix B in the 2020 Census Demographic and Housing Characteristics File (DHC) Technical Documentation..Source: U.S. Census Bureau, 2020 Census Demographic and Housing Characteristics File (DHC)

This dataset provides Census 2022 estimates for Economic activity of full-time students aged 16 and over in Scotland.

Economic activity

Economic activity relates to whether or not a person aged 16 and over was working or looking for work in the week before census. Rather than a simple indicator of whether or not someone was currently in employment, it provides a measure of whether or not a person was an active participant in the labour market.

A person's economic activity is derived from their 'activity last week'. This is an indicator of their status or availability for employment - whether employed, unemployed, or their status if not employed and not seeking employment. Additional information included in the economic activity classification is also derived from information about the number of hours a person works and their type of employment - whether employed or self-employed.

The census concept of economic activity is compatible with the standard for economic status defined by the International Labour Organisation (ILO). It is one of a number of definitions used internationally to produce accurate and comparable statistics on employment, unemployment and economic status.

Details of classification can be found here

Full-time students

A student is a person who is in full-time education either at school or in higher or further education.

Details of classification can be found here

The quality assurance report can be found here

Abstract

The Ministry of Education has conducted an uninterrupted series of annual private school census for well over four decades. The main objective of the census is to collect following information - Information about the schools - Students - Teachers

Geographic coverage

National Coverage - Private Schools

Analysis unit

School Student Teacher

Universe

All Private Schools

Kind of data

Census/enumeration data [cen]

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The schedule of the Private School Census - 2005 includes following parts:

Part 1 : Identification Information
Part 2 : Students in school by 1st June 2005
Part 3 : Students by birth year
Part 4A : Disabled students
Part 4B : Disabled students by birth year
Part 5 : Students by grade according to the subjects study ( Religion, Technical subjects and Easthetic )

 Deatils of Teachers

Cleaning operations

Manual data editing and coding is done by the statistical unit of the Ministry of Education.

Statistics Canada Census Data from 2021. This dataset includes the religion data provided by Statistics Canada joined with the census tracts. Each topic covered by the census was exported as a separate table. Each table contains the total, male, and female characteristics as fields for each census tract. Topics range from population, age and sex, immigration, language, family and households, income, education, and labour. For more information on definitions of terms used in the tables and other notes, refer to Statistics Canada's 2021 Census.

Data from the 2013 population census at the scale of large neighborhoods on the subject of diplomas. For information, the data model is described in the attachment.

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 represent the most current 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.

Abstract

The Ministry of Education has conducted an uninterrupted series of annual school census for well over four decades. The main objective of the census is to collect following information - Information about the schools - Students - Teachers - Non-academic staff - Physical facilities

Geographic coverage

National Coverage - Government Schools

Analysis unit

School Student Teacher

Universe

All Government Schools

Kind of data

Census/enumeration data [cen]

Mode of data collection

Mail Questionnaire [mail]

Research instrument

2006 questionnaire was expanded to collect more information related to the following sections.

- Part 7A  Expanded to 31 subjects:
- Part 7B : Newly added section
 - Part 14 : Allocations for Qualitative Improvents in 2007
 - Part 14B : Distance from school

The schedule of the School Census - 2007 includes following parts:

Part 1 : Identification Information
Part 2 : Students by medium
Part 3 : Students by birth year
Part 4 : Students who failed in the year 2006
Part 5 : Students in grade 1
Part 6 : A/L Science Students
Part 7 : Students by grade bysubjects studied ( Religion, Technical subjects and Easthetic )
Part 8A : Disabled students
Part 8B : Disabled students by birth year
Part 9 : Student by race and religion
Part 10A : Students who obtained grade 5 scholarship grants
Part 10B : Students in grade 6
Part 11 : Examination Reults ( Year 2006 )
         - Grade 5
         - G. C. E. (O/L)
         - G. C. E. (A/L)
 Part 12 : Health and Nutrition programmes in the school
 Part 13 : Physical resources
          - Toilet facilities
          - Science Laboratories ( Grade 6-11 )
          - Science Laboratories ( A/L Students )
          - Library
          - Resources of the Library and the Educational Resources Centre 
          - School Land
          - Computer in the Scshool
  Part 14 : Allccations for Qualitative Improvents in 2006 
  Part 15 : Transfered, Resigned and Retired Teachers in 2006
  Part 16 : Non Academic Staff Members Details

   Deatils of Teachers

Cleaning operations

Manual data editing and coding is done by the zonal offices.

A dataset of Government schools average Secondary School English Class Size, showing average for Year 12 and overall secondary classes, from census year 2001 to 2023.\r \r The size of secondary English classes is collected from government schools as part of the February School Census conducted on the last school day of February each year.\r The data is based on the number of English classes in secondary year levels. English class size is an indication of the size of classes in secondary schools, as almost all students study English. This includes each compulsory and elective English class for secondary students held during the week of the census. Secondary students not studying English are NOT counted in the class size return. Also included are classes (such as Remedial English or ESL / English as a Second Language) that a student attends instead of compulsory English. Excluded are classes such as English Literature, Remedial English or ESL that a student attends as well as “compulsory” English. Please note that extra teaching support is NOT included when calculating the average class size. Average class size is NOT the same as the student/teacher ratio.

SA3 based data for Occupation by Hours Worked for Students Aged 15-24 Years, in Working Population Profile (WPP), 2016 Census. Count of employed students aged 15-24 years. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W20 is broken up into 2 sections (W20a - W20b), this section contains 'Full/Part-time student status Not stated None Managers' - 'Total Total Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.