Statistics on student enrolment in UGC-funded programmes

Hong Kong Number of Enrolled Student: University Grants Committee Funded Inst(UGC) data was reported at 188,079.000 Person in 2016. This records a decrease from the previous number of 189,484.000 Person for 2015. Hong Kong Number of Enrolled Student: University Grants Committee Funded Inst(UGC) data is updated yearly, averaging 82,771.000 Person from Sep 1985 (Median) to 2016, with 32 observations. The data reached an all-time high of 196,800.000 Person in 2012 and a record low of 44,401.000 Person in 1985. Hong Kong Number of Enrolled Student: University Grants Committee Funded Inst(UGC) data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.G118: Education Statistics.

The map data and summary statistics data are sourced from Johns Hopkins University and Esri’s Living Atlas. The charts are being sourced from a database created by Timmons Group GIS that leverages the temporal data provided by JHU on github.

Why did we do this?

1. The JHU dashboard is focused on Global and one can only drill down to a country-level for charting and summary statistics
2. We wanted to create a US Centric dashboard that one could drill down to the State level and County level for charting and summary statistics

How did we do this?

The raw data from JHU does not support the temporal charting at the State level or County level, so we created a data pipeline to leverage JHU’s source data files and transforms their raw data into our data model

Key features:

1. The only US centric dashboard with State and County level temporal charts of COVID-19 data
2. Ability to select multiple States or Counties and have maps and charts reflect the aggregate of those states/counties
3. Truly responsive design web-app; our dashboard works on desktop/tablet/phone without the need for users to select multiple apps
4. Ability to see the hardest impact States from the State table and exploring their associated charts
5. Ability to see the hardest impacted counties by the County table and exploring their associated charts
6. Ability to see the hardest impacted counties per State by selecting a State and exploring their associated charts

Check out our other ArcGIS Dashboard powered by the new ArcGIS Experience Builder to explore the COVID-19 curves at the country level around the world - Explore the COVID-19 Curve

For additional information, please contact:

• Mike Wiley
• Brian Kingery, GISP (@briankingery87)
• Jenn Kennedy

Hong Kong Number of Enrolled Student: UGC: Part Time: PTG: Taught Postgraduate data was reported at 22,468.000 Person in 2017. This records a decrease from the previous number of 22,822.000 Person for 2016. Hong Kong Number of Enrolled Student: UGC: Part Time: PTG: Taught Postgraduate data is updated yearly, averaging 9,034.000 Person from Sep 1985 (Median) to 2017, with 33 observations. The data reached an all-time high of 28,806.000 Person in 2010 and a record low of 2,266.000 Person in 1985. Hong Kong Number of Enrolled Student: UGC: Part Time: PTG: Taught Postgraduate data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.G118: Education Statistics.

[Metadata] Description: Postsecondary Institutions and Programs in Hawaii as of April, 2017.
Source: Downloaded from the US DOE (https://ope.ed.gov/accreditation/index.aspx), December, 2017.

[taken from the ED OPE website] “The Database of Accredited Postsecondary Institutions and Programs contains information reported to the U.S. Department of Education directly by recognized accrediting agencies and state approval agencies that have been asked to provide information for each institution and/or program accredited by that agency. This reported information is not audited. The database reflects additional information as it is received from recognized accrediting agencies and state approval agencies. The U.S. Department of Education cannot, therefore, guarantee that the information contained in the database is accurate, current, or complete. For the most accurate and current information, contact the appropriate agency.”

The User-Generated Content (UGC) platform market, valued at $381.81 million in 2025, is poised for significant growth. This expansion is driven by several key factors, including the increasing adoption of social media, the rising popularity of online video and streaming, and the growing demand for personalized and authentic content. The diverse range of platforms, encompassing blogs, websites, social media networks, and video-sharing sites, caters to a broad spectrum of users, from individuals sharing personal experiences to large corporations using UGC for marketing purposes. Segment analysis reveals strong growth in the e-commerce and retail sectors, leveraging UGC for product reviews and influencer marketing. The government and public sector are also increasingly adopting UGC platforms for citizen engagement and public information dissemination. Geographic analysis suggests that North America and Asia Pacific currently hold the largest market shares, fueled by high internet penetration and a tech-savvy population. However, growth in other regions, particularly in emerging markets with rising smartphone adoption, presents significant future opportunities. Competition is fierce, with established players like Facebook, YouTube, and Twitter competing with newer platforms focusing on niche audiences or specific content formats. The market's future trajectory depends on factors such as evolving user preferences, technological advancements, and regulatory changes concerning data privacy and content moderation. Future growth will likely be influenced by the increasing sophistication of UGC tools and analytics. Platforms are continuously improving their algorithms to enhance content discovery and user engagement. The integration of artificial intelligence (AI) and machine learning (ML) is expected to further personalize the user experience and improve content moderation capabilities. Challenges include maintaining content quality, addressing issues of misinformation and harmful content, and ensuring data security and user privacy. Despite these challenges, the UGC market shows a robust outlook. Continued innovation in platform features, improved monetization strategies, and expanding user bases across various demographics will contribute to sustained growth over the next decade. This dynamic market offers substantial potential for both established companies and emerging players who can adapt to evolving user needs and technological trends.

This web map shows the location of the UGC Funded Institutions in Hong Kong. It is a subset of data made available by the University Grants Committee Secretariat under the Government of Hong Kong Special Administrative Region (the “Government”) at https://portal.csdi.gov.hk ("CSDI Portal"). The source data is processed and converted to Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort. For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

This web map shows the statistics on student enrolment (headcount) in UGC-funded programmes by University, Level of Study, Mode of Study and Sex in Hong Kong. It is a set of the data made available by the University Grants Committee Secretariat under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

The internet is growing, which affects the business industry's ability to keep up with its development by doing live streaming marketing. Live streaming marketing makes consumers make impulsive purchases because consumers can interact with sellers in real time and see people's reviews through comments, making consumers' buying intentions higher. The aim of this study is to explain how user-generated content in live-streaming marketing acts as an impulsive buying factor. It can also be referred to as user-generated content. Other consumers create user-generated content to give their honest review of a product in a video, photo, or other format. This research uses quantitative methods. The data was collected through a questionnaire distributed in June–September 2024 to 154 customers who buy via live streaming. The data collection method used is purposive sampling; the data is then processed using Structural Equation Modeling (SEM) with Smart PLS as tool. There are six variables in this research, there are: user generated content, content authenticity, social interaction, emotional appeal, pleasure, and impulsive buying with seven hypotheses. The results showed that the value of user-generated content, social interaction, and content authenticity in live-streaming marketing has a significant effect on pleasure and emotional appeal so that it can impact impulsive buying for users.

Keywords: user generated content, live streaming marketing, impulsive buying, UGC, e-commerce

This layer shows the list of all UGC-funded programmes in Hong Kong. It is a set of data made available by the University Grants Committee Secretariat under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of CSDI Portal at https://portal.csdi.gov.hk.

This layer serves as the authoritative geographic data source for California's K-12 public school locations during the 2023-24 academic year. Schools are mapped as point locations and assigned coordinates based on the physical address of the school facility. The school records are enriched with additional demographic and performance variables from the California Department of Education's data collections. These data elements can be visualized and examined geographically to uncover patterns, solve problems and inform education policy decisions.

The schools in this file represent a subset of all records contained in the CDE's public school directory database. This subset is restricted to K-12 public schools that were open in October 2023 to coincide with the official 2023-24 student enrollment counts collected on Fall Census Day in 2023 (first Wednesday in October). This layer also excludes nonpublic nonsectarian schools and district office schools.

The CDE's California School Directory provides school location other basic school characteristics found in the layer's attribute table. The school enrollment, demographic and program data are collected by the CDE through the California Longitudinal Achievement System (CALPADS) and can be accessed as publicly downloadable files from the Data & Statistics web page on the CDE website.

Schools are assigned X, Y coordinates using a quality controlled geocoding and validation process to optimize positional accuracy. Most schools are mapped to the school structure or centroid of the school property parcel and are individually verified using aerial imagery or assessor's parcels databases. Schools are assigned various geographic area values based on their mapped locations including state and federal legislative district identifiers and National Center for Education Statistics (NCES) locale codes.

Overview of Data Sources

Flooding Event Data: The flooding event summaries were developed using the NOAA Storm Events Database, available for download at NOAA National Centers for Environmental Information website. While there are many weather events provided in the NOAA Storm Events Database, only the following values were selected for inclusion in the locality summaries: coastal flood, flash flood, flood, heavy rain, hurricane (typhoon), and tropical storm. Detailed descriptions of event types are provided in Appendix A of NOAA's National Weather Service documentation. The data included in this summary includes events recorded from January 1996 through August 2021.

FEMA National Flood Insurance Program Claims: The NFIP claims data were obtained through the FIMA NFIP Redacted Claims data, available through the OpenFEMA data portal. The data used in this analysis was last updated December 6, 2021.

While every effort has been made to obtain current information about the flood events and flood insurance claims contained herein, no representation or assurance is made regarding the accuracy of the underlying data. Please contact HRDPC staff with questions regarding this dashboard product.

The Uppsala General Catalogue of Galaxies (UGC) is an essentially complete catalog of galaxies to a limiting diameter of 1.0 arcminute and/or to a limiting apparent magnitude of 14.5 on the blue prints of the Palomar Observatory Sky Survey (POSS). Coverage is limited to the sky north of declination -02.5 degrees. Galaxies smaller than 1.0 arcminute in diameter but brighter than 14.5 mag may be included from the Catalogue of Galaxies and of Clusters of Galaxies (CGCG, Zwicky et al. 1961-1968); all such galaxies in the CGCG are included in the UGC. The galaxies are numbered in order of their 1950.0 right ascension values. The catalog contains descriptions of the galaxies and their surrounding areas, plus conventional system classifications and position angles for flattened galaxies. Galaxy diameters on both the blue and red POSS prints are included and the classifications and descriptions are given in such a way as to provide as accurate an account as possible of the appearance of the galaxies on the prints. Only the data portion of the published UGC is included in the machine-readable version, notice. For additional details regarding the classifications, measurement of apparent magnitudes, and data content, the source reference should be consulted. This database table was first ingested by the HEASARC in September 2000 based on a machine-readable version of the UGC obtained from the ADC (ADC Catalog VII/26D). This latter version was a corrected and modified version of the original magnetic tape version of the UGC. A list of the types of changes and modifications made by the ADC is available at https://cdsarc.u-strasbg.fr/ftp/cats/VII/26D/ReadMe, while the list of the affected entries is available at https://cdsarc.u-strasbg.fr/ftp/cats/VII/26D/errors.dat.gz.

The HEASARC last updated this database table in November 2021 upon reflection that the original catalog's coordinates were B1950 (instead of J1950, as originally assumed by the HEASARC). Due to the precision of the coordinates in this catalog, the difference is negligible. This is a service provided by NASA HEASARC .

Historical price and volatility data for ugChain in US Dollar across different time periods.

This layer shows demographic context for senior well-being work. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

This web map shows the Number of Graduates (Headcount) of UGC-funded Programmes by University, Level of Study, Mode of Study and Academic Programme Category. It is a set of the data made available by the University Grants Committee Secretariat under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

Metalpoor Blue Compact Dwarf openParBCDclosePar galaxies have been interpreted as nearby galaxies d_commain formationd_comma. This view has been challenged by HST detection of Red Giant Branch openParRGBclosePar stars in all metalpoor BCDs where an RGB tip openParTRGB comma brightest RGB phaseclosePar has been searched for comma impling the presence of stars at least birgul 1 Gyr old. Due to the agemetallicity degeneracy comma the RGB color provides little insight into the exact star formation history openParSFHclosePar beyond 1 Gyr. So comma the first SF epoch may have occurred anywhere between birgul13 and 1 Gyr ago. To resolve this comma it is necessary to reach features in the colormagnitude diagram openParCMDclosePar that are much fainter than the TRGB. Here we propose new WFC3UVIS observations openParwith ACSWFC in parallelclosePar of the closest metalpoor BCD comma UGC 4483. These data will yield an I vs. VI CMD that goes birgul 4 mag deeper than the TRGB allowing to detect red clump openParRCclosePar and horizontal branch openParHBclosePar stars. Variable stars of RR Lyrae type will also be detected. With their mere presence comma these variables will indisputably prove the existence of a population at least birgul 10 Gyr old. Apparent mag and width of RC comma HB and RGB will independently constrain age and metallicity of the oldevolved stars comma the presence of multiple SF episodes comma their duration and metallicity spread. This deep crowdedfield photometric project is only possible with HST. Due to UGC 4483 location in CVZ comma it can be done in half the number of orbits that it would otherwise take. Since UGC 4483 is so close comma it may be the only BCD for which these questions can be answered in the near future. It provides our best chance for learning about the true cosmological age and evolutionary state of these enigmatic galaxies.

This layer shows health insurance coverage by type and by age group. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.

Analysis of ‘Community Reporting Areas with PL 94-171 Redistricting Data for 1990-2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f24103a8-3ca5-478c-8e95-97e889f9deb2 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Community Reporting Areas with selected 1990, 2000, 2010, 2020 P.L. 94-171 redistricting data. This includes group quarters population (institutionalized/non) from the 1990, 2000 and 2010 summary file to be consistent with the available 2020 data.

--- Original source retains full ownership of the source dataset ---