This statistical release presents experimental statistics on government grants spending for the financial year 2019 to 2020. The scope of this release is covered in the Government Grants Statistics 2019 to 2020.

Government Grants Management Function (GGMF) works closely with government departments to understand and resolve data quality issues; with this dataset being the most complete view of government grant spending published to date. In the https://draft-origin.publishing.service.gov.uk/government/statistics/government-grants-statistics-2019-20/2019-20-government-grants-statistics" class="govuk-link">Government grants statistics 2019 to 2020 we provide a number of notes and caveats that will help inform the interpretation of this data.

We continually seek to improve these annual publications and we encourage you to fill out our https://docs.google.com/forms/d/e/1FAIpQLSeLFZ1fQtS_LYlQ_UZPG3xtYnSPbtZvvMkK-VAqc5apn8cyFQ/viewform" class="govuk-link">feedback form if you use these statistics.

Provides the statistics about Grant for School-related Expenses for Kindergarten Students

Financial overview and grant giving statistics of National Institute of Statistical Sciences

Grants made by the National Endowment for the Humanities, fiscal years 2010-2019 (flattened)

The Grant Information Act of 2018 (Stats. 2018, Ch. 318) required the State Library to build one website by July 1, 2020, “that provides a centralized location … to find state grant opportunities.” State agencies provide all information on grants.ca.gov to the State Library for publication. The Grant Information Act requires state agencies to provide summaries of each of their grant or loan opportunities, including information about how to apply and links that grantseekers can follow for more details.

FYI If you're not familiar with data.ca.gov, you can download the csv and find the API call by clicking on the "Explore" button below.

Note: the data set updates every 24 hours at 8:45pm.

The State Revenue Office (SRO) is now publishing a range of First Home Owner Grant statistics. Find out how many Grants, Bonuses and Boost payments have been received in each postcode in Victoria. The SRO have developed an online search tool which will enable users to select a postcode and receive data by number and type of benefit for various years, and months within each year. Graphs representing the data extracted are also available.

Financial overview and grant giving statistics of Data House Inc.

Financial overview and grant giving statistics of Data Quality Campaign

About this dataset

Context

The dataset tabulates the population of Grant by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Grant. The dataset can be utilized to understand the population distribution of Grant by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Grant. 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 Grant.

Key observations

Largest age group (population): Male # 5-9 years (79) | Female # 20-24 years (62). 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 Grant population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Grant is shown in the following column.
• Population (Female): The female population in the Grant 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 Grant 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 Grant Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Grant by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Grant. The dataset can be utilized to understand the population distribution of Grant by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Grant. 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 Grant.

Key observations

Largest age group (population): Male # 5-9 years (105) | Female # 60-64 years (76). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 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 Grant population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Grant is shown in the following column.
• Population (Female): The female population in the Grant 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 Grant 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 Grant Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Grant by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Grant across both sexes and to determine which sex constitutes the majority.

Key observations

There is a majority of female population, with 55.0% of total population being female. 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.

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. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Grant is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Grant 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 Grant Population by Race & Ethnicity. You can refer the same here

Financial overview and grant giving statistics of Grants Cause

Financial overview and grant giving statistics of Data of Plano

WfD - By country or region

About this dataset

Context

The dataset tabulates the population of Grant by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Grant. The dataset can be utilized to understand the population distribution of Grant by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Grant. 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 Grant.

Key observations

Largest age group (population): Male # 5-9 years (136) | Female # 25-29 years (152). 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 Grant population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Grant is shown in the following column.
• Population (Female): The female population in the Grant 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 Grant 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 Grant Population by Gender. You can refer the same here

The First Home Owner Grant is paid by the State Government to eligible first home owners.

Grants made by the National Endowment for the Humanities, fiscal years 2020-2029

Financial overview and grant giving statistics of Pivotal New Mexico

Grants made by the National Endowment for the Humanities, fiscal years 2020-2029