New York City Department of Education 2018 - 19 Guidance Counselor Bill Demographic Data by district, borough, school number and school year providing statistics gender, ethnicity, students with disabilities, poverty and amount of time spent in general education classes.

New York City Department of Education 2020-21 Guidance Counselor and Social Workers data by district, borough, school number, school name, and school level, providing statistics for full time, part time, bilingual guidance counselors and social workers and whether they are serving more than one location.

New York City Department of Education 2015 - 16 Guidance Counselor Bill Demographic Data by school year.

New York City Department of Education 2018 - 19 Guidance Counselor Bill Demographic Data by district, borough, school number, school name, and school level, providing statistics for full time, part time, bilingual guidance counselors and whether they are serving more than one location.

The dataset is related to student data, from an educational research study focusing on student demographics, academic performance, and related factors. Here’s a general description of what each column likely represents:

Sex: The gender of the student (e.g., Male, Female). Age: The age of the student. Name: The name of the student. State: The state where the student resides or where the educational institution is located. Address: Indicates whether the student lives in an urban or rural area. Famsize: Family size category (e.g., LE3 for families with less than or equal to 3 members, GT3 for more than 3). Pstatus: Parental cohabitation status (e.g., 'T' for living together, 'A' for living apart). Medu: Mother's education level (e.g., Graduate, College). Fedu: Father's education level (similar categories to Medu). Mjob: Mother's job type. Fjob: Father's job type. Guardian: The primary guardian of the student. Math_Score: Score obtained by the student in Mathematics. Reading_Score: Score obtained by the student in Reading. Writing_Score: Score obtained by the student in Writing. Attendance_Rate: The percentage rate of the student’s attendance. Suspensions: Number of times the student has been suspended. Expulsions: Number of times the student has been expelled. Teacher_Support: Level of support the student receives from teachers (e.g., Low, Medium, High). Counseling: Indicates whether the student receives counseling services (Yes or No). Social_Worker_Visits: Number of times a social worker has visited the student. Parental_Involvement: The level of parental involvement in the student's academic life (e.g., Low, Medium, High). GPA: The student’s Grade Point Average, a standard measure of academic achievement in schools.

This dataset provides a comprehensive look at various factors that might influence a student's educational outcomes, including demographic factors, academic performance metrics, and support structures both at home and within the educational system. It can be used for statistical analysis to understand and improve student success rates, or for targeted interventions based on specific identified needs.

Abstract (en): The primary purpose of the State Nonfiscal Survey is to provide basic information on public elementary and secondary school students and staff for each of the 50 states, the District of Columbia, and outlying territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands). The database provides the following information on students and staff: general information (name, address, and telephone number of the state education agency), staffing information (number of FTEs on the instructional staff, guidance counselor staff, library staff, support staff, and administrative staff), and student information (membership counts by grade, counts of high school completers, counts of high school completers by racial/ethnic breakouts, and breakouts for dropouts by grade, sex, race). 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: Checked for undocumented or out-of-range codes.. All public elementary and secondary education agencies in the 50 states, the District of Columbia, United States territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands), and Department of Defense schools outside of the United States. 2006-01-18 File DOC2450.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-01-18 File CB2450.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads. (1) Part 2, Imputed Data, is a different version of the data in Part 1, Reported Data. The National Center for Education Statistics (NCES) imputed and adjusted some reported values in order to create a data file (Part 2) that more accurately reflects student and staff counts and improves comparability between states. Imputations are defined as cases where the missing value is not reported at all, indicating that subtotals for the category are under-reported. An imputation by NCES assigns a value to the missing item, and the subtotals containing this item increase by the amount of the imputation. Imputations and adjustments were performed on the 50 states and Washington, DC, only. Since all states and Washington, DC, reported data in this survey, these imputations and adjustments were implemented to correct for item nonresponse only. This process consisted of several stages and steps, and varied as to the nature of the missing data. No adjustments or imputations were made to high school graduates or other high school completer categories, nor were any adjustments or imputations performed on the race/ethnicity data. (2) The Instruction Manual that is included with this data collection also applies to COMMON CORE OF DATA: PUBLIC EDUCATION AGENCY UNIVERSE, 1995-1996 (ICPSR 2468) and COMMON CORE OF DATA: PUBLIC SCHOOL UNIVERSE, 1995-1996 (ICPSR 2470). (3) The codebook, data collection instrument, and instruction manual are provided as two Portable Document Format (PDF) files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using the Adobe Acrobat Reader (version 3.0 or later). Information on how to obtain a copy of the Acrobat Reader is provided through the ICPSR Website on the Internet.

The global career and education counseling market is experiencing robust growth, driven by increasing competition for higher education and employment opportunities, particularly among young adults. The rising awareness of the benefits of professional guidance, coupled with the expanding accessibility of online counseling platforms, is significantly fueling market expansion. While offline counseling remains a significant segment, catering to individuals who prefer personalized, in-person interactions, the online segment is demonstrating rapid growth, offering convenience and affordability to a wider geographical reach. Key demographic segments include fresh graduates, undergraduates, and unemployed individuals actively seeking career direction and educational pathways. The market is witnessing innovation with the integration of technology, including AI-powered tools for career assessments and personalized recommendations. This technological advancement contributes to a more efficient and data-driven counseling experience, further enhancing the market's appeal. Although the market faces challenges such as high costs associated with personalized counseling and potential skepticism regarding the efficacy of online platforms, these are being mitigated by the introduction of affordable options and demonstrably positive outcomes reported by users. The market's regional distribution reflects global disparities in access to education and employment opportunities. North America and Europe are currently leading the market, given their established education systems and higher disposable incomes. However, the Asia-Pacific region, particularly India and China, shows tremendous growth potential driven by a burgeoning young population and increasing investments in education and career development initiatives. The competitive landscape is dynamic, with established players like Mindler and CareerGuide competing alongside newer entrants, leveraging technology and innovative business models to capture market share. Future market growth will likely be driven by further technological advancements, enhanced accessibility, and targeted marketing campaigns focused on specific demographic segments and their unique career aspirations. Sustained economic growth and policies supporting educational attainment will also play a crucial role in shaping the future trajectory of this market.