This dataset is about universities in Santa Fe, featuring 3 columns: address, total students, and university. The preview is ordered by total students (descending).

The statistic displays the result of a survey on the swimming participation of students at further education colleges in Wales 2018, by institution. In 2018, it was found that 41.1 percent of respondents from Bridgend College stated that they participated in swimming in the last year.

This dataset is about universities in Santa Fe, featuring 2 columns: graduate students, and university. The preview is ordered by total students (descending).

This dataset is about universities in Santa Fe. It has 3 columns: university, city, and total students. The data is ordered by total students (descending).

Taiwan Number of Student: HE: FE: Manufacturing & Processing data was reported at 5,700.000 Person in 2018. Taiwan Number of Student: HE: FE: Manufacturing & Processing data is updated yearly, averaging 5,700.000 Person from Jul 2018 (Median) to 2018, with 1 observations. Taiwan Number of Student: HE: FE: Manufacturing & Processing data remains active status in CEIC and is reported by Ministry of Education. The data is categorized under Global Database’s Taiwan – Table TW.G055: Number of Student.

In 2021, 75 percent of respondents reported that they planned to finance their further education with scholarships. The second-most cited method of financing their further education, as cited by 64 percent of the respondents, was through parents and family savings.

Graph and download economic data for High School Graduate or Higher (5-year estimate) in Santa Fe County, NM (HC01ESTVC1635049) from 2010 to 2023 about Santa Fe County, NM; Santa Fe; NM; secondary schooling; secondary; educational attainment; education; 5-year; and USA.

Taiwan Number of Student: HE: FE: Engineering & Engineering Trades data was reported at 28,032.000 Person in 2018. Taiwan Number of Student: HE: FE: Engineering & Engineering Trades data is updated yearly, averaging 28,032.000 Person from Jul 2018 (Median) to 2018, with 1 observations. Taiwan Number of Student: HE: FE: Engineering & Engineering Trades data remains active status in CEIC and is reported by Ministry of Education. The data is categorized under Global Database’s Taiwan – Table TW.G055: Number of Student.

This statistic shows the future education plans made by parents for their children in China's international schools as of 2018. Around 89 percent of surveyed parents wanted their children to study abroad after they complete their education in international schools in China.

The information details full and partial achievement data. From 2013/14 this is derived from the Consolidated Data Return (CDR), a computerised return consisting of an individual record for each final year enrolment and its associated outcome on regulated courses in Northern Ireland Further Education Institutions. Prior to 2013/14 this information was derived from the Further Education Leavers Survey, a computerised return consisting of an individual record for each final year enrolment and its associated outcome on assessed professional and technical courses in Northern Ireland Further Education Institutions. The dataset is gathered annually at the 1st November and is a full year count of the previous academic year. The academic year covers the period 1 August 2014 - 31 July 2015. Colleges collect the information on Enrolment forms and add outcome information. This information is entered onto the Colleges Management Information System. The Department extracts and validates this information from the colleges. The data is then merged with the CPD and checked. It is then forwarded to NINIS.

The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. The first wave of results for sub-state geographic areas in New Mexico was reSanta Fesed on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics were reSanta Fesed in the summer of 2011. The data in this particular RGIS CSanta Feringhouse table is for all Block Groups in Santa Fe County. The table provides total counts population.

Advanced Learning Loans applications operational data. Contains data supplied by applicant in support of the application; and the assessment outcome.

High school graduate (includes equivalency) Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Santa Fe County, New Mexico by age, education, race, gender, work experience and more.

Abstract copyright UK Data Service and data collection copyright owner.

The purpose of this study was to investigate the factors which influence young people in their demand for higher education in its various forms - at universities, colleges of education (teacher training colleges), polytechnics and colleges of further education. Six of these eight surveys are the main study which was carried out on (a) the schools and the fifth-formers and the sixth-formers in them, and (b) the colleges of further education and their home students studying A' level subjects full-time.</p><p><br> The material from the young people includes that given by them at two stages, first from the main survey which took place before they sat GCE examinations and before the results of higher education applications were available and secondly, from the follow-up survey after the results of the GCE examinations were known and the young people already embarked on courses the following session. For the fifth and sixth-form surveys (67001, 67002 and 68005) there is also incorporated the form teachers' broad assessment of ability (three categories) examination prospects and higher education and career aspirations. For the schools the main survey was carried out in the Spring term 1967 with the follow-up in the autumn. The equivalent dates in the colleges of further education were May 1967 and January 1968.</p><p><br> (The remaining two surveys are subsidiary to the project; 66023 is the pilot stage of the main survey part of 68004, i.e. home students studyingA' levels full-time in the further education colleges, whilst 67005 (fifth-formers in the fast stream in schools) comprises a sub-set of material from the main fifth-form survey for an enlarged sample of those pupils in schools with fast streams).

The six surveys in the main study are interlinked with information from the school or college complementing that from the pupil or student. In addition there is standardisation - as far as was practicable - between sections of the questionnaire used for the fifth-formers, lower and upper sixth-formers and students in further education (e.g. general background). The contents of the questionnaire for the upper sixth-formers and further education students corresponded particularly closely. Copies of all reports on the surveys are in the Library of the Royal Statistical Society. Mainly they deal with specific aspects of the data e.g. 'Subject commitments and the demand for higher education', G. A. Barnard and M. D. McCreath (1970) Journal of the Royal Statistical Society Series A (General) 133 (3) 358 - 408, 'Report of the surveys of full-time 'A' level students (home) in colleges of further education', by M. D. McCreath (1970). All the material which is available is listed in the most recent report written in 1972, Factors influencing choice of higher education: surveys carried out by Margaret D McCreath under the direction of Professor G A Barnard, Department of Mathematics, University of Essex. This 1972 report includes data from both the school and further education surveys. The extensive tables are based on the following variables: social class, expectations about leaving school and reasons for doing so, source of the most useful discussion on what to do after school, family experience of higher education, O' andA' level attempts and passes, knowledge of higher education entry requirements and with whom these were discussed, as well as intended and actual destinations in higher education.
The technical note on the sample design by Judith Doherty was published in 1970 as Appendix 1 of Volume 1 of the Schools Council Sixth-Form Survey, Sixth-Form Pupils and Teachers. Details of the response rates are given in the 1972 report mentioned above.

This survey covered advice on careers and education after 'A' level: whether there is a formal system for the dissemination of such advice, and whether this was instigated to meet a demand from students. A record was made of the literature held on careers and higher education establishments and how this was made available. Information gathered included: where the majority of students go - or expect to go - after 'A' levels (according to sex and subject cohort); how and when they are advised by the college about closing dates for courses beyond 'A' level; advice students seem to need on which university course to include on the UCCA form; whether the Youth Employment Officer or Careers Advisory Officer is the main official source of advice for students; whether the principal or representative of any college department with full-time 'A' level students has been invited to a university conference of headmasters and headmistresses.
General information includes: position of respondent on college staff; official classification of college by type; whether college receives any part of its fund from a source other than...

18 to 64 years Poverty Rate Statistics for 2023. This is part of a larger dataset covering poverty in Santa Fe, New Mexico by age, education, race, gender, work experience and more.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Percentage of students, who entered an A Level or equivalent qualification, going to, or remaining in, an education destination or employment.

The percentage of students progressing to further learning in a school, Further Education or Sixth Form College, Apprenticeship, work based learning provider or Higher Education Institution. To be included in the Measure, young people have to show sustained participation in an education destination in all of the first two terms of the year after they completed KS4 or took A level or equivalent qualifications. The first two terms is defined as October to March.

The statistics are published as "Experimental Statistics" and do not display the National Statistics Logo. They are still being evaluated and remain subject to further testing to determine their reliability and ability to meet customer needs. The figures should be treated with caution as this is the first year for which such data have been produced. As improvements are made to the methodology, data quality will be assessed to establish whether the statistics meet the quality standards for National Statistics.

“x“ means the data has been suppressed as the school or college has fewer than 6 students in a particular denominator, or small numbers for the numerator (1’s and 2’s). Results are not shown because of the risk of an individual student being identified. All totals have been rounded to the nearest 10. Zeros are shown as zeros. See Technical Note from Department of Education for further detail.

https://www.gov.uk/government/collections/statistics-destinations

The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article I, Section 2 of the Constitution and all households in the U.S. and individuals living in group quarters were required by law to respond to the 2010 Census questionnaire. The data collected by the decennial census determine the number of seats each state has in the U.S. House of Representatives and is also used to distribute billions in federal funds to local communities. The questionnaire consisted of a limited number of questions but allowed for the collection of information on the number of people in the household and their relationship to the householder, an individual's age, sex, race and Hispanic ethnicity, the number of housing units and whether those units are owner- or renter-occupied, or vacant. The first wave of results for sub-state geographic areas in New Mexico was released on March 15, 2011, through the Redistricting Data (PL94-171) Summary File. This batch of data covers the state, counties, places (both incorporated and unincorporated communities), tribal lands, school districts, neighborhoods (census tracts and block groups), individual census blocks, and other areas. The Redistricting products provide counts by race and Hispanic ethnicity for the total population and the population 18 years and over, and housing unit counts by occupancy status. The 2010 Census Redistricting Data Summary File can be used to redraw federal, state and local legislative districts under Public Law 94-171. This is an important purpose of the file and, indeed, state officials use the Redistricting Data to realign congressional and state legislative districts in their states, taking into account population shifts since the 2000 Census. More detailed population and housing characteristics will be released in the summer of 2011. The data in these particular RGIS Clearinghouse tables are for all Block Groups in Santa Fe County. There are two data tables. One provides total counts by major race groups and by Hispanic ethnicity, while the other provides proportions of the total population for these same groups. These files, along with file-specific descriptions (in Word and text formats) are available in a single zip file.

About this dataset

Context

The dataset tabulates the Santa Fe population by age. The dataset can be utilized to understand the age distribution and demographics of Santa Fe.

Content

The dataset constitues the following three datasets

• Santa Fe, NM Age Group Population Dataset: A complete breakdown of Santa Fe age demographics from 0 to 85 years, distributed across 18 age groups
• Santa Fe, NM Age Cohorts Dataset: Children, Working Adults, and Seniors in Santa Fe - Population and Percentage Analysis
• Santa Fe, NM Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

The Average Salary chart presents a clear visualization of the salary progression for graduates from Santa Fe Community College from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Santa Fe Community College’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Santa Fe Community College.