In 2024, 9.3 percent of students in the United Kingdom achieved the highest possible grade (an A*) in their A-Levels, with more than a quarter of entries achieving an B, the most common individual grade level in this year. Grades in 2020 and 2021 were generally a lot higher than in previous years due to the different grading circumstances brought on by the COVID-19 pandemic.

In Summer 2024, 26 percent of all students sitting A-Levels in England achieved a 'B' grade making it the most common grade awarded in that academic year, with a further 22.4 percent of students achieving a 'C' grade.

A level students in the Chinese ethnic group had an average point score of 39.83 in the 2022 to 2023 academic year – the highest score out of all ethnic groups.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..The Hispanic origin and race codes were updated in 2020. For more information on the Hispanic origin and race code changes, please visit the American Community Survey Technical Documentation website..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Results of the elections to the Cortes de Aragón in 2023. Results with level of detail of electoral table district, among other resources.

This table contains figures on the population aged 15 to 90 in the Netherlands, with the exception of persons in institutions, institutions and homes (institutional population). The figures show the highest level of education achieved by individuals, broken down by gender, age and origin. Statistics Netherlands is switching to a new classification of the population by origin. From now on, where someone was born is more decisive than where someone's parents were born. The word migration background is no longer used. The main division western/non-western is replaced by a division based on continents and common immigration countries. This classification is gradually being introduced in tables and publications with population by origin. The figures come from the Labor Force Survey (EBB). Data available from: 2013 Status of the figures: The figures in this table are final. Changes as of August 16, 2023: The figures for the 2nd quarter of 2023 have been added. Changes as of January 13, 2023: None, this is a new table. This table has been compiled on the basis of the Labor Force Survey (EBB). Due to changes in the research design and the EBB questionnaire, the figures for 2021 are not directly comparable with the figures up to and including 2020. The key figures in this table have therefore been made consistent with the (non-seasonally adjusted) figures in the Labor participation table, seasonally adjusted key figures (see section 4), in which the results for the period 2013-2020 have been recalculated to match the results from 2021. When the results are further detailed according to job and personal characteristics, there may nevertheless be differences from 2020 to 2021 as as a result of the new method. When will new numbers come out? New figures will be published on November 14, 2023.

This provides summary data on the number of students completing T Levels, as reported to the Department for Education through the manage T Level results service.

Data includes:

• provisional outcomes for the second cohort of T Level students, who started in September 2021
• revised outcomes for the first cohort of students who started in September 2020

T Levels are an alternative to A levels, apprenticeships and other 16 to 19 courses. Equivalent in size to 3 A levels, a T Level focuses on vocational skills and can help students into skilled employment, apprenticeships, college or university.

Find out more about how T Levels developed.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

In the 2022/23 academic year, 30 percent of undergraduates obtaining their degree were awarded a degree with first-class honors, the highest possible grade for UK graduates. Almost half of all students achieved an upper second or 2.1, with 20 percent obtaining a lower second or 2.2, and just four percent of graduates obtained a third, the lowest possible pass grade. The share of UK students graduating with a first-class degree has increased significantly in this time period, while the share of students obtaining a 2.2 has fallen the most in the same time period. GCSE and A-Level grades also on the rise Higher grades for the UK's main qualification for high school students, the general certificate of secondary education (GCSE), have also increased recently. In 1988 for example, approximately 8.4 percent of GCSE entries received the highest grade, compared with 21.8 percent in 2024. This is also the case to a lesser-extent for advanced level GCSE results (A-Levels), with the share of entries being awarded an A or A* increasing from 17.8 percent in 2000 to 27.8 percent in 2024. There is no consensus on if these improvements are due to increased ability, or to grade inflation. During the COVID-19 pandemic, however, grades in the UK were a lot higher than in other years. This was due to teacher and tutor assessments being giving a higher weighting than normal, with exams being postponed or cancelled completely. The UK's top universities Britain's oldest and most famous universities, Cambridge and Oxford, remained the two highest-ranked universities in the UK in 2025, with the London School of Economics finishing third. According to the ranking, the University of St Andrews was the top university outside the south of England, with Durham University being the highest-ranked university in the north of England. The largest university in terms of enrolled students was the mainly remote focused Open University, which had over 140,000 students in 2022/23. Among universities that mainly taught on-campus, University College London had the most students enrolled, at almost 52,000.

Digital technology innovation is the core driving force for the high-quality development of the digital economy, and in-depth exploration of the regional distribution pattern and formation mechanism of digital technology innovation in China is conducive to the rational layout and coordinated development of the inter-provincial digital economy. Based on the Reference Relationship Table of the Classification of Core Industries of Digital Economy and the International Patent Classification (2023), the patent authorization data of digital technology from 2012 to 2022 were obtained, and the spatiotemporal situation of China’s digital technology innovation was analyzed by using ArcGIS software, Dagum’s Gini coefficient, and Moran’s I index, and the spatial Dubin panel model was used to explore the influencing factors of digital technology innovation. It is found that: (1) the scale and vitality of China’s digital technology innovation have increased significantly, and there are obvious spatial differentiation characteristics, and the innovation level of "eastern coastal—central and western interior" is decreasing, forming a cluster distribution pattern in the Yangtze River Delta region, Beijing, Guangdong, and other places, and the degree of agglomeration is decreasing. (2) The overall regional differences in China’s digital technology innovation are large, the differences between the East and the West dominate the interregional differences, and the net differences between regions are the main factors leading to regional differences. (3) There is a significant positive spatial correlation between the scale and vitality of digital technology innovation, which has a significant spatial spillover effect. (4) The results confirm that the level of economic development, digital access, financial scientific and technological support, technology market development level, and R&D intensity have a significant positive impact on the scale and vitality of digital technology innovation; The investment in scientific and technological talents has a significant positive impact on the scale of digital technology innovation, but has no significant impact on the vitality of digital technology innovation.

The number of students starting in Ivy League schools for the Class of 2028 (those beginning in the Fall of 2024), varied from school to school. Cornell University had the largest Class of 2028 among the Ivy League schools, with ***** enrolled students.

July 2024. This point feature class shows the address locations of septic tank pump out in 2023. The location points include the tax parcel and street-level geocoding results. Data is extracted from the Digital Health pomp report database maintained by the DOIT Human and Health Services team. Watershed names have been added to the attribute table.

In 2024, 71 percent of female students and 64.2 percent of male students achieved a C/4 grade or higher at GCSE level in the United Kingdom. This grade level is considered a 'pass' in the United Kingdom and throughout this period female students have consistently outperformed male students, with both male and females achieving their highest pass rates in 2021.