Using the Right Data to Strengthen Your Grant Applications

Data is one of the most powerful tools a nonprofit can use in a grant application. It can demonstrate the need for your work, support your proposed approach, and help funders understand the impact your organization is positioned to make.

But more data does not necessarily mean a stronger application. The key is using the right data in the right places.

Start With the Need

One of the most important roles data plays in a grant application is showing that a real, measurable need exists.

Instead of simply stating that your community faces a problem, use relevant data to show its scope.

For example, rather than saying, “Many families in our community struggle with food insecurity,” you could provide statistics showing the percentage of households experiencing food insecurity in your service area and compare that number with state or national data.

This gives the funder context and helps establish why your organization’s work is necessary.

Use Data That Is Relevant to Your Community

When selecting statistics for an application, prioritize data that directly relates to the population and geographic area you serve.

National statistics can provide helpful context, but local data is often much more compelling. If your organization serves a specific county, city, or population, look for data that reflects that community whenever possible.

Consider sources such as:

• U.S. Census Bureau

• CDC

• County or state government agencies

• Local health departments

• School districts

• Community needs assessments

• Universities and research institutions

• Your organization’s own program data

The goal is not to find the most impressive statistic. It is to find the statistic that most clearly demonstrates the need your organization is addressing.

Connect the Data to Your Program

Don't drop data into a grant application without explanation.

After presenting a statistic, explain what it means for the people you serve and how it connects to your proposed project.

For example:

“According to local data, 18% of children in our service area live below the poverty line. This disparity contributes to barriers to accessing essential educational resources. Our proposed program will provide tutoring and academic support to 150 students experiencing these barriers.”

The statistic establishes the need. The next sentence connects that need to your program.

That connection is what makes the data meaningful.

Don't Forget Your Own Data

External research is valuable, but nonprofits should also consider the data they already collect.

Your organization may have years of information that can strengthen an application, including:

• Number of people served

• Program participation rates

• Demographic information

• Client outcomes

• Survey responses

• Retention rates

• Service utilization

• Pre- and post-program assessments

• Success stories supported by measurable results

Your own data can demonstrate that your organization understands its population and has experience producing results.

For example, saying your organization “has helped hundreds of students” is less powerful than explaining exactly how many students participated, what services they received, and what measurable changes resulted.

Make Sure Your Data Is Current

One of the easiest ways to weaken an otherwise strong application is by relying on outdated information.

Before including a statistic, check when it was collected or published. Some datasets are updated annually, while others may only be updated every few years.

Also make sure the data still accurately reflects the population you serve.

When possible, use the most recent credible data available and clearly identify the source. This helps establish credibility and shows the funder that your organization has done its research.

Use Data to Tell a Story

Numbers are important, but they should support your story rather than replace it.

A grant application should help a funder understand what is happening in the community, who is affected, why the problem matters, and how your organization plans to respond.

Think of data as evidence that strengthens that story.

A compelling application might move from a broad statistic, to a local statistic, to your organization's own data, and finally to the human impact behind those numbers.

That progression helps the funder understand both the scale of the problem and the difference your organization can make.

Quality Over Quantity

You do not need to fill every section of a grant application with statistics.

In fact, too much data can make an application difficult to read and can distract from your main argument.

Instead, choose a few strong statistics that directly support your case. Ask yourself:

Does this data demonstrate the need?

Is it relevant to our population or geography?

Is the source credible?

Is it recent enough to be useful?

Does it connect directly to our proposed program?

If the answer is yes, the data is likely earning its place in your application.

The strongest grant applications don't simply contain data. They use data strategically to demonstrate need, establish credibility, support their approach, and show why an investment in their organization can make a measurable difference.

The right data can turn a statement about community need into a compelling case for funding.