This dataset provides statistics on the number of new students enrolled on scholarships at universities and colleges within Qatar, categorized by educational institution and gender. It helps track local scholarship trends in higher education.

This dataset provides statistics on the number of new students who enrolled in scholarships abroad, categorized by field of study and gender. It highlights trends in student interest across different academic disciplines.

This dataset tracks annual black student percentage from 2019 to 2023 for Scholarship Prep - Orange County vs. California and Scholarship Prep - Orange County School District

This dataset tracks annual hispanic student percentage from 2019 to 2023 for Scholarship Prep - Orange County vs. California and Scholarship Prep - Orange County School District

This table gives an overview of expenditure on regular education within the Netherlands.

Government finance schools, colleges and universities. It pays for research which is done by universities on its behalf. Furthermore it provides student grants and loans, allowances for school costs, provisions for students with a disability and child care allowances as well as subsidies to companies and non-profit organisations. The government reclaims unjustified payments for student grants and loans and allowances for school costs. It also receives interest and repayments on student loans as well as EU grants for education.

Parents and/or students have to pay tuition fees for schools, colleges and universities, parent contributions and contributions for school activities. They also have to purchase books and materials, pay for transport from home to school and back for students who are not eligible for subsidised transport, pay for private tutoring, pay interest and repayments on student loans, and repay wrongfully received student grants, loans and allowances for school costs. Parents and/or students receive child care allowances, provisions for students with a disability and an allowance for school costs as well as student grants and loans and scholarships of companies.

Companies and non-profit organisations incur costs for supervising trainees and apprentices who combine learning with work experience. They also contribute to the cost of work related education of their employees and spend money on research that is outsourced to colleges for higher professional education and universities. Furthermore they contribute to the childcare allowances given to households and provide scholarships to students. Companies receive subsidies and tax benefits for the creation of apprenticeship places and trainee placements and for providing transport for pupils.

Organisations abroad contract universities in the Netherlands to undertake research for them. The European Union provides funds and subsidies for education to schools, colleges and universities as well as to the Dutch government. Foreign governments contribute to international schools in the Netherlands that operate under their nationality.

The table also contains various indicators used nationally and internationally to compare expenditure on education and place it in a broader context. The indicators are compounded on the basis of definitions of Statistics Netherlands and/or the OECD (Organisation for Economic Cooperation and Development). All figures presented have been calculated according to the standardised definitions of the OECD.

In this table tertiary education includes research and development, except for the indicator Expenditure on education institutions per student, excluding R & D.

The statistic on education spending is compiled on a cash basis. This means that the education expenditure and revenues are allocated to the year in which they are paid out or received. However, the activity or transaction associated with the payment or receipt can take place in a different year.

Statistics Netherlands published the revised National Accounts in June 2018. Among other things, GDP and total government expenditures have been adjusted upwards as a result of the revision.

Data available from: 1995

Status of the figures: The figures from 1995 to 2020 are final. The 2021 figures are revised provisional, the 2022 figures are provisional.

Changes as of 7 December 2023: The revised provisional figures of 2021 and the provisional figures of 2022 have been added.

When will new figures be published? The final figures for 2021 will be published in the first quarter of 2024. The final figures for 2022 and the provisional figures for 2023 will be published in December 2024.

Increase the percentage of eligible students who enroll in the Oklahoma’s Promise (OHLAP) scholarship program from 48.8% in 2014 to 50.8% by 2018.

This dataset tracks annual asian student percentage from 2019 to 2023 for Scholarship Prep - Orange County vs. California and Scholarship Prep - Orange County School District

This dataset tracks annual white student percentage from 2019 to 2023 for Scholarship Prep - Orange County vs. California and Scholarship Prep - Orange County School District

About this dataset

Context

The dataset tabulates the Grants population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Grants across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Grants was 8,996, a 0.42% decrease year-by-year from 2022. Previously, in 2022, Grants population was 9,034, a decline of 1.24% compared to a population of 9,147 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Grants increased by 117. In this period, the peak population was 9,294 in the year 2011. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Grants is shown in this column.
• Year on Year Change: This column displays the change in Grants population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Grants Population by Year. You can refer the same here

توفّر مجموعة البيانات هذه إحصاءات حول عدد الطلاب الجدد الملتحقين بالجامعات والكليات في قطر ضمن برامج المنح الدراسية، مصنّفة حسب المؤسسة التعليمية والجنس، . وتساعد هذه البيانات في تتبّع اتجاهات المنح الدراسية المحلية في التعليم العالي.

The Student visas lodged, granted and grant rate reports are based on lodgement and grant data recorded for visa subclass 500 and subclass 570 to 576 in the current financial year and previous financial years.

The dimensions include the financial year and quarter of visa grant, the gender, age, education provider registered state, sector, client location, lodgement channel and citizenship country.

These de-identified statistics are periodically checked for privacy and other compliance requirements. The statistics were temporarily removed in March 2024 in response to a question about privacy within the emerging technological environment. Following a thorough review and risk assessment, the Department of Home Affairs has republished the dataset.

This dataset tracks annual hispanic student percentage from 2021 to 2023 for Scholarship Prep - South Bay vs. California and Scholarship Prep - South Bay School District

This dataset tracks annual asian student percentage from 2021 to 2023 for Scholarship Prep - South Bay vs. California and Scholarship Prep - South Bay School District

About this dataset

Context

The dataset tabulates the population of Grants Pass by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Grants Pass. The dataset can be utilized to understand the population distribution of Grants Pass by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Grants Pass. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Grants Pass.

Key observations

Largest age group (population): Male # 10-14 years (1,392) | Female # 40-44 years (1,645). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Grants Pass population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Grants Pass is shown in the following column.
• Population (Female): The female population in the Grants Pass is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Grants Pass for each age group.

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/.

Recommended for further research

This dataset is a part of the main dataset for Grants Pass Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Grants population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Grants. The dataset can be utilized to understand the population distribution of Grants by age. For example, using this dataset, we can identify the largest age group in Grants.

Key observations

The largest age group in Grants, NM was for the group of age Under 5 years years with a population of 881 (9.67%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Grants, NM was the 80 to 84 years years with a population of 184 (2.02%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Grants is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Grants total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Grants Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Grants Pass by race. It includes the population of Grants Pass across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Grants Pass across relevant racial categories.

Key observations

The percent distribution of Grants Pass population by race (across all racial categories recognized by the U.S. Census Bureau): 85.79% are white, 0.59% are Black or African American, 0.57% are American Indian and Alaska Native, 1.18% are Asian, 0.26% are Native Hawaiian and other Pacific Islander, 1.34% are some other race and 10.27% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Grants Pass
• Population: The population of the racial category (excluding ethnicity) in the Grants Pass is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Grants Pass total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Grants Pass Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Grants household income by age. The dataset can be utilized to understand the age-based income distribution of Grants income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Grants, NM annual median income by age groups dataset (in 2022 inflation-adjusted dollars)
• Age-wise distribution of Grants, NM household incomes: Comparative analysis across 16 income brackets

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Grants income distribution by age. You can refer the same here

About this dataset

Context

The dataset tabulates the Grants Pass population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Grants Pass. The dataset can be utilized to understand the population distribution of Grants Pass by age. For example, using this dataset, we can identify the largest age group in Grants Pass.

Key observations

The largest age group in Grants Pass, OR was for the group of age 10 to 14 years years with a population of 2,915 (7.44%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Grants Pass, OR was the 80 to 84 years years with a population of 921 (2.35%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Grants Pass is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Grants Pass total population. Please note that the sum of all percentages may not equal one due to rounding of values.

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/.

Recommended for further research

This dataset is a part of the main dataset for Grants Pass Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Grants population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Grants. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 5,448 (59.83% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Grants population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Grants is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Grants is shown in the following column.

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/.

Recommended for further research

This dataset is a part of the main dataset for Grants Population by Age. You can refer the same here