How to Write a Statement of Need (with Free Data Sources)
If you've ever stared at a grant application box that says "Describe the need," you're in good company. The good news: a statement of need follows a simple pattern, and the numbers you need are usually free and public.
This guide walks you through what a statement of need is, a step-by-step structure you can reuse, a short example, and a list of free data sources to support it.
What is a statement of need?
A statement of need (sometimes called a "needs statement" or "problem statement") explains the problem your program addresses, who it affects, and why it matters in your community right now. It answers the funder's first question: Why should we fund this, here, now?
A strong statement of need:
- Describes a problem in your community, not a problem inside your organization. ("Our van is old" is an organizational need. "Seniors in our county can't get to medical appointments" is a community need.)
- Uses local data, with sources, to show the problem is real and how big it is.
- Puts a human face on the numbers, without exaggerating.
- Connects clearly to the program you're asking the funder to support.
It does not need to be long. For many small grants, two to four solid paragraphs is plenty. Always follow the funder's length limit.
A step-by-step structure
1. Name the problem in one or two sentences
Who is affected, where, and what is the problem? Calm, specific language is more convincing than dramatic claims.
2. Define your service area
Funders want to know exactly where you work: a city, a county, a group of ZIP codes, or a school district. Use the same geography in your data. If you serve one county, county-level numbers are better than state numbers.
3. Show the size of the problem with local data
Pick two to four numbers that directly relate to your program. For a food pantry, that might be food insecurity and poverty rates. For a youth tutoring program, it might be school enrollment and child poverty. More numbers aren't better; relevant numbers are.
4. Add comparison
A number on its own is hard to judge. Compare your area to the state or national figure ("higher than the statewide rate") or show change over time, if the source supports it. Only claim a difference if the data actually shows one. Survey-based estimates such as the American Community Survey come with margins of error, so be careful about calling small differences meaningful.
5. Describe the human impact
Briefly explain what the numbers mean in daily life, using what you see directly, like a waiting list or call volume. If you share a story, get permission and protect privacy.
6. Explain the gap
What's missing? Maybe there's no other provider nearby, demand has outgrown current services, or existing services don't reach a certain group. Be honest and respectful about other organizations.
7. Connect to your program
End by bridging to your solution: "Our program addresses this by..." This sets up the project description that usually comes next.
8. Cite every number
Name the source, the year of the data, and the geography for each statistic. A footnote or parenthetical citation is fine. Funders notice when numbers have no source, and so do reviewers.
A short example (fictional)
Fictional example for illustration only. The organization, place, and all numbers below are made up to show structure. They are not real statistics. Replace every bracketed item with real data and citations from your own service area.
Families in [Fictional] Maple County are struggling to keep food on the table. According to [Source, year], an estimated [X]% of Maple County residents are food insecure, compared with [Y]% statewide. Among children, the estimate is [Z]% ([Source, year]). Roughly [N]% of county residents live below the federal poverty line ([Source, year]).
These numbers match what we see every week. Our pantry's visits rose from [A] households per month last year to [B] this year, and we now close early most Saturdays because we run out of fresh produce. The nearest full-service grocery store for many families on the county's east side is a long drive away, and public transit there is limited.
With your support, Maple Community Pantry will add a weekday evening distribution and a mobile pantry stop on the east side, so working parents and families without cars can get groceries they can count on.
Notice the pattern: problem, local data with comparison, human impact, gap, and a bridge to the program.
Free public data sources
All of these are free to use. Look for the most recent year available, note the year in your citation, and match the geography to your service area.
Population, income, and poverty
- U.S. Census Bureau, data.census.gov — https://data.census.gov. The main place to search Census data, including the American Community Survey. You can search by topic and place (state, county, city, ZIP Code Tabulation Area, census tract, and more) and download or cite tables.
- American Community Survey (ACS) — https://www.census.gov/programs-surveys/acs. Background on the ACS, which covers income, poverty, housing, education, disability, language, and more. The 5-year estimates cover the smallest areas; the Census Bureau's ACS 5-year page lists the geographies available.
- Small Area Income and Poverty Estimates (SAIPE) — https://www.census.gov/programs-surveys/saipe.html. Census Bureau income and poverty estimates for states, counties, and school districts.
Health
- CDC PLACES — https://www.cdc.gov/places/. Local estimates of health measures for counties, places, census tracts, and ZIP Code tabulation areas. Includes an interactive map, a data portal, and a tool to compare up to three counties or places.
- County Health Rankings & Roadmaps — https://www.countyhealthrankings.org/health-data. County and state health snapshots, county comparisons, and downloadable datasets. Helpful for health, housing, and economic factors in one place.
Jobs and the economy
- American Community Survey employment data — https://data.census.gov. Search for table S2301 (Employment Status) to get labor force participation, employment and unemployment rates for states, counties, cities, and census tracts.
Food and hunger
- Feeding America, Map the Meal Gap — https://map.feedingamerica.org. Estimated food insecurity for every U.S. county and congressional district, including estimates for children, plus local meal-cost estimates. These are modeled estimates, so describe them as "estimated."
- USDA Economic Research Service, Food Environment Atlas — https://www.ers.usda.gov/data-products/food-environment-atlas. County-level maps and downloadable data about the local food environment, such as food access and food assistance programs.
Housing
- HUD User, Fair Market Rents — https://www.huduser.gov/portal/datasets/fmr.html. HUD's annual Fair Market Rent estimates for metro areas and nonmetropolitan counties, with county-level data downloads. Useful for showing local housing costs.
Children and education
- NCES Common Core of Data — https://nces.ed.gov/ccd/. The U.S. Department of Education's annual database of public schools and school districts, with school and district lookup tools.
- KIDS COUNT Data Center (Annie E. Casey Foundation) — https://datacenter.aecf.org. Indicators on children, youth, and families for the nation, states, and more, covering economic well-being, education, health, and family and community.
Common mistakes to avoid
- Leaving out the year and source. Every number should be traceable.
- Overstating. "Many families" is better than an invented figure. Never guess a number.
- Data that doesn't connect to your program. If you run an after-school program, an adult unemployment rate may matter less than child poverty or school data.
- Copying the same paragraph for years. Refresh your numbers when new data comes out.
Want help pulling the numbers?
Finding the right tables, matching geographies, and writing it all up can take an evening or two, which is time many small teams don't have. If you'd rather hand it off, CivicVane's Statement of Need Data Brief ($129) gathers local need statistics for your city, county, or service area from the Census American Community Survey (including employment) and CDC PLACES. It includes state and national comparisons, margins of error, full citations, and a draft need paragraph you can adapt for your applications. It's delivered by email as a PDF within 2 business days of payment and a complete order form.
Sources
All links checked on October 25, 2026.
- U.S. Census Bureau, data.census.gov: https://data.census.gov
- U.S. Census Bureau, American Community Survey: https://www.census.gov/programs-surveys/acs
- U.S. Census Bureau, ACS 5-Year Data: https://www.census.gov/data/developers/data-sets/acs-5year.html
- U.S. Census Bureau, Small Area Income and Poverty Estimates: https://www.census.gov/programs-surveys/saipe.html
- CDC, PLACES: Local Data for Better Health: https://www.cdc.gov/places/
- County Health Rankings & Roadmaps, Health Data: https://www.countyhealthrankings.org/health-data
- U.S. Census Bureau, ACS table S2301 (Employment Status), via data.census.gov: https://data.census.gov
- Feeding America, Map the Meal Gap: https://map.feedingamerica.org
- Feeding America, Map the Meal Gap reports: https://www.feedingamerica.org/research/map-the-meal-gap/overall-executive-summary
- USDA Economic Research Service, Food Environment Atlas: https://www.ers.usda.gov/data-products/food-environment-atlas
- HUD User, Fair Market Rents: https://www.huduser.gov/portal/datasets/fmr.html
- National Center for Education Statistics, Common Core of Data: https://nces.ed.gov/ccd/
- Annie E. Casey Foundation, KIDS COUNT Data Center: https://datacenter.aecf.org
Last checked 2026-10-25.