Provides the statistics about Diploma of Applied Education/Diploma Yi Jin - Tuition Fee Reimbursement

Summary statistics on Gender Recognition Certificates applied for and granted by Her Majesty’s Courts and Tribunals Service’s Gender Recognition Panel. Under UK law, individuals are considered by the State to be of the gender – either male or female – that is recorded on their birth certificate. The Gender Recognition Act 2004, which came into effect on 4 April 2005, enables transsexual people to apply to the Gender Recognition Panel (GRP) to receive a Gender Recognition Certificate (GRC).

Source agency: Justice

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: Gender Recognition Certificate Statistics

Leaving Certificate Applied (LCA) Programme Subject Provision and Take up by Type of School, LCA Subject, Year and Statistic

View data using web pages

Download .px file (Software required)

Data for employers who hold or have applied for certificates issued under section 14(c) of the Fair Labor Standards Act.

Singapore Graduates from Polytechnic Ad Diploma: Applied Arts data was reported at 76.000 Person in 2017. This records an increase from the previous number of 53.000 Person for 2016. Singapore Graduates from Polytechnic Ad Diploma: Applied Arts data is updated yearly, averaging 21.000 Person from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 76.000 Person in 2017 and a record low of 0.000 Person in 1997. Singapore Graduates from Polytechnic Ad Diploma: Applied Arts data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G073: Education Statistics: Graduates from Educational Institutions.

Singapore Enrolment in Polytech Diploma: Females: Applied Arts data was reported at 3,064.000 Number in 2016. This records a decrease from the previous number of 3,186.000 Number for 2015. Singapore Enrolment in Polytech Diploma: Females: Applied Arts data is updated yearly, averaging 1,376.500 Number from Dec 1993 (Median) to 2016, with 24 observations. The data reached an all-time high of 3,448.000 Number in 2014 and a record low of 278.000 Number in 1993. Singapore Enrolment in Polytech Diploma: Females: Applied Arts data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G061: Education Statistics: Enrolment.

Singapore Graduates from Polytechnic Diploma: Females: Applied Arts data was reported at 1,024.000 Person in 2016. This records an increase from the previous number of 977.000 Person for 2015. Singapore Graduates from Polytechnic Diploma: Females: Applied Arts data is updated yearly, averaging 293.000 Person from Dec 1993 (Median) to 2016, with 24 observations. The data reached an all-time high of 1,024.000 Person in 2016 and a record low of 65.000 Person in 1993. Singapore Graduates from Polytechnic Diploma: Females: Applied Arts data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G064: Education Statistics: Graduates from Educational Institutions.

This office handles statistics of the number of citizens applying for police record certificates.

Institution performance by cohort and disadvantage status. Cohorts include academic, A level, applied general, tech level, and technical certificate students, as well as those eligible for inclusion in English and maths specific measures.

Statistics of State Examinations from www.statcentral.ie under the theme People and Society - Education from the State Examinations Commission

Classifications:

• Subject (Leaving Certificate)
• Subject (Junior Certificate)
• Examination level (Leaving Certificate)
• Examination level (Junior Certificate)
• Grade (Leaving Certificate)
• Grade (Leaving Certificate Applied)
• Grade (Junior Certificate)

1. Reference Year: 2023/2024 2. The Department of Education’s P-POD system is the source of this data with it capturing school returns for pupil enrolments by grade, programme and subject 3. Strong differences can be seen in the percentages of girls and boys when it comes to STEM (Science, Technology, Engineering and Mathematics), particularly when biology is excluded 4. Data is reported on an academic year basis which starts in September of a year and finishes in June of the following year (First week of June for post-primary schools and last week of June for primary schools), other than attainment data, which is just for the end of the academic year, i.e., June 2023 5. STEM subjects at Leaving Certificate: agricultural science, mathematics, applied mathematics, biology, physics, chemistry, physics and chemistry, engineering, construction studies, design and communication graphics and technology 6. STEM subjects at Junior Certificate: wood technology, graphics, engineering, applied technology, mathematics and science 7. Schools offering all three science subjects (physics, chemistry, biology) is based on pupils taking these subjects on P-POD, i.e., a school may offer physics but have no pupils taking the subject 8. All %'s are a ratio between 0 – 1

These are simulated data without any identifying information or informative birth-level covariates. We also standardize the pollution exposures on each week by subtracting off the median exposure amount on a given week and dividing by the interquartile range (IQR) (as in the actual application to the true NC birth records data). The dataset that we provide includes weekly average pregnancy exposures that have already been standardized in this way while the medians and IQRs are not given. This further protects identifiability of the spatial locations used in the analysis. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: File format: R workspace file; “Simulated_Dataset.RData”. Metadata (including data dictionary) • y: Vector of binary responses (1: adverse outcome, 0: control) • x: Matrix of covariates; one row for each simulated individual • z: Matrix of standardized pollution exposures • n: Number of simulated individuals • m: Number of exposure time periods (e.g., weeks of pregnancy) • p: Number of columns in the covariate design matrix • alpha_true: Vector of “true” critical window locations/magnitudes (i.e., the ground truth that we want to estimate) Code Abstract We provide R statistical software code (“CWVS_LMC.txt”) to fit the linear model of coregionalization (LMC) version of the Critical Window Variable Selection (CWVS) method developed in the manuscript. We also provide R code (“Results_Summary.txt”) to summarize/plot the estimated critical windows and posterior marginal inclusion probabilities. Description “CWVS_LMC.txt”: This code is delivered to the user in the form of a .txt file that contains R statistical software code. Once the “Simulated_Dataset.RData” workspace has been loaded into R, the text in the file can be used to identify/estimate critical windows of susceptibility and posterior marginal inclusion probabilities. “Results_Summary.txt”: This code is also delivered to the user in the form of a .txt file that contains R statistical software code. Once the “CWVS_LMC.txt” code is applied to the simulated dataset and the program has completed, this code can be used to summarize and plot the identified/estimated critical windows and posterior marginal inclusion probabilities (similar to the plots shown in the manuscript). Optional Information (complete as necessary) Required R packages: • For running “CWVS_LMC.txt”: • msm: Sampling from the truncated normal distribution • mnormt: Sampling from the multivariate normal distribution • BayesLogit: Sampling from the Polya-Gamma distribution • For running “Results_Summary.txt”: • plotrix: Plotting the posterior means and credible intervals Instructions for Use Reproducibility (Mandatory) What can be reproduced: The data and code can be used to identify/estimate critical windows from one of the actual simulated datasets generated under setting E4 from the presented simulation study. How to use the information: • Load the “Simulated_Dataset.RData” workspace • Run the code contained in “CWVS_LMC.txt” • Once the “CWVS_LMC.txt” code is complete, run “Results_Summary.txt”. Format: Below is the replication procedure for the attached data set for the portion of the analyses using a simulated data set: Data The data used in the application section of the manuscript consist of geocoded birth records from the North Carolina State Center for Health Statistics, 2005-2008. In the simulation study section of the manuscript, we simulate synthetic data that closely match some of the key features of the birth certificate data while maintaining confidentiality of any actual pregnant women. Availability Due to the highly sensitive and identifying information contained in the birth certificate data (including latitude/longitude and address of residence at delivery), we are unable to make the data from the application section publically available. However, we will make one of the simulated datasets available for any reader interested in applying the method to realistic simulated birth records data. This will also allow the user to become familiar with the required inputs of the model, how the data should be structured, and what type of output is obtained. While we cannot provide the application data here, access to the North Carolina birth records can be requested through the North Carolina State Center for Health Statistics, and requires an appropriate data use agreement. Description Permissions: These are simulated data without any identifying information or informative birth-level covariates. We also standardize the pollution exposures on each week by subtracting off the median exposure amount on a given week and dividing by the interquartile range (IQR) (as in the actual application to the true NC birth records data). The dataset that we provide includes weekly average pregnancy exposures that have already been standardized in this way while the medians and IQRs are not given. This further protects identifiability of the spatial locations used in the analysis. This dataset is associated with the following publication: Warren, J., W. Kong, T. Luben, and H. Chang. Critical Window Variable Selection: Estimating the Impact of Air Pollution on Very Preterm Birth. Biostatistics. Oxford University Press, OXFORD, UK, 1-30, (2019).

This Regulation prescribes the insurance requirements for specific types of commercial vehicles. It also seeks to achieve high levels of compliance with transportation legislation by providing for certification processes that are associated with the issuing of Safety Fitness Certificates and Operating Authority Certificates. One or both certificates must be applied for and acquired to operate most commercial vehicles lawfully on Alberta’s highways. The Regulation requires the Registrar of Motor Vehicle Services to establish and maintain operator profiles to monitor the activities and safety records of carriers and other persons.

Singapore Graduates from Polytechnic Diploma: Males: Applied Arts data was reported at 682.000 Person in 2017. This records a decrease from the previous number of 759.000 Person for 2016. Singapore Graduates from Polytechnic Diploma: Males: Applied Arts data is updated yearly, averaging 251.000 Person from Dec 1993 (Median) to 2017, with 25 observations. The data reached an all-time high of 783.000 Person in 2013 and a record low of 27.000 Person in 1993. Singapore Graduates from Polytechnic Diploma: Males: Applied Arts data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G073: Education Statistics: Graduates from Educational Institutions.

The bulletin presents the latest statistics on type and volume of tribunal cases received, disposed of and outstanding and the number of Gender Recognition Certificates applied for and granted. The bulletin focuses on information on receipts (i.e. cases received by HMCTS), the outcome of cases by category (e.g. cases disposed of at hearing) and the caseload outstanding (snapshot of live cases at a specific point in time) for the three largest tribunals: Employment, Immigration and Asylum, and Social Security and Child Support. Additional data are available on timeliness, jurisdiction, Employment Tribunal fees, smaller tribunals, Employment Appeal Tribunal and regional receipts for the Employment Tribunal (management information). Annual data are published as follows: * Employment Tribunal and Employment Appeal Tribunal annual statistics are published in September; these include information on representation of claimants, compensation and costs awarded in the Employment Tribunal for the financial year. * Data from the Special Educational Needs and Disability tribunals covering the academic year are published in December. Further breakdowns include information on the number of appeals registered by type and nature of special education need, and outcomes. * The number of adjournments and postponements by jurisdiction are published annually in June, along with the number of judicial salaried and fee-paid sittings by jurisdiction. In addition to monitoring tribunal workloads and timeliness, they are used to assist in the development, monitoring and evaluation of tribunal related policy in collaboration with other Government departments, e.g. DWP, BEIS and Home Office.