How to read these examples
A needs statement, which many funders label a statement of need, establishes that a defined population in a defined place experiences a documented gap, and that the applicant understands the gap well enough to act on it. Each example below runs that chain in about 130 words, which is the density most foundation applications force. The annotations name which sentence does which job.
All organizations, places, and figures are fictional. In a real statement, every number carries a source and year: population and income context from data.census.gov, county-level health measures from County Health Rankings, and child and family indicators from the KIDS COUNT Data Center. The needs statement template holds the drafting structure and a data-sourcing walkthrough; these examples show what it produces.
Example 1: Eviction prevention
In Garton County, landlords filed 1,840 eviction cases in 2026, a 34 percent increase over 2024, and 62 percent of filings involved arrears under $1,200 (fictional court data). No emergency rental assistance has operated in the county since federal program funds closed out. Families who called our housing helpline last year most often reported a single missed paycheck, a medical bill, or a car repair as the triggering event, and callers had typically already borrowed from family before calling. Court records cannot show how many households leave before a case is filed, so filings understate displacement. Small, fast arrears grants at the helpline stage address the specific gap the data shows: crises measured in hundreds of dollars that become removals costing families and the county far more.
Annotation. Sentence one carries place, condition, trend, and the detail that makes the program plausible (small arrears). Sentence two shows the service gap. Sentence three is community knowledge from the organization’s own contact with the population, labeled as what it is. Sentence four states the data’s limit instead of hiding it. The last sentence connects need to response without yet describing the program.
Example 2: Rural medical transit
Adults over 60 make up 31 percent of Harlan Valley’s population, against 22 percent statewide (fictional figures), and the valley’s last fixed-route bus service ended in 2023. The nearest dialysis, oncology, and cardiology providers sit 41 miles away in Dorset City. In our 2026 survey of 118 valley seniors, 44 reported missing at least one medical appointment in the prior six months for lack of transportation; missed-appointment data from the providers themselves was not available to us, so we report only what patients told us. Volunteer drivers already carry neighbors informally. A scheduled, insured volunteer transit program formalizes what the community has improvised, aimed at the appointment types where a missed trip has clinical consequences.
Annotation. The comparison sentence (31 versus 22 percent) earns the geographic focus. The survey sentence shows first-party evidence with its sample size, then explicitly separates what was measured from what was not, which is the credibility move most statements skip. The final two sentences frame the community as the solution’s origin, not the problem’s container.
Example 3: Early childhood home visiting
In the Fairfield Flats neighborhoods, 210 children under three live in households below the poverty line, and the neighborhood’s share of children entering kindergarten meeting readiness benchmarks was 41 percent in 2026, against 63 percent citywide (fictional school district data). The city’s two home visiting programs maintain waitlists totaling 96 families and neither serves the Flats’ largest language community, Somali, in-language. Somali-speaking mothers in our parent circles consistently describe wanting developmental guidance from someone who shares their language and has raised children here. Kindergarten readiness is measured at one point and misses earlier development, a limit of the available data. An in-language home visiting track staffed by trained neighborhood mothers meets the documented gap where existing programs cannot reach it.
Annotation. This example shows need scoped by language access, not only by income, and the community-knowledge sentence carries the program’s design logic. Note the phrase “described wanting”: reported preference is presented as reported preference, not converted into a statistic.
Example 4: Adult ESL and literacy
An estimated 5,600 adults in Brenner County speak English less than very well (fictional figure modeled on American Community Survey categories), while the county’s single adult ESL provider enrolled 240 learners last year and turns away applicants each term. Employers in the county’s two largest sectors, food processing and eldercare, list English communication as the top barrier to promoting current employees, per our 2026 interviews with nine HR managers. Waitlist length understates demand, since adults stop applying when terms fill. Evening and shift-compatible ESL classes co-located at the two largest worksites address the specific mismatch the evidence shows: demand concentrated among working adults whom daytime, off-site classes structurally exclude.
Annotation. The supply-versus-demand arithmetic (5,600 potential learners, 240 seats) is the whole argument in one comparison. Employer interviews add a second, independent evidence stream, attributed and dated. The limitation sentence turns a weak-looking waitlist number into an honest floor.
Example 5: Diabetes prevention
Adult diabetes prevalence in Corvin County is 13.8 percent against 10.1 percent statewide, and the county ranks in the bottom quartile of its state on food environment measures (fictional figures of the kind County Health Rankings reports). The county hospital’s community health assessment names diabetes as a top-three priority, but its prevention classes ran at 40 percent capacity last year: residents in our focus groups described the hospital campus as unfamiliar and the class times as built for retirees. Prevalence data cannot say which residents are pre-diabetic and unaware, so the true prevention population is larger than any current count. Peer-led prevention groups in churches and the community center take a clinically validated curriculum to the places attendance evidence says people actually go.
Annotation. This example demonstrates the most useful move in the set: it explains why an existing service underperforms (location and scheduling) using the community’s own account, which converts “another program exists” from a threat into the justification.
Example 6: Senior digital access
Of Marsh Point’s 3,100 residents over 65, an estimated 38 percent have no home broadband subscription (fictional figure; the American Community Survey publishes this measure by age and geography). The public library’s device-lending program requires online reservation, an access barrier its own staff flagged to us. Since the regional health system moved appointment scheduling and test results online in 2025, its patient portal adoption among patients over 65 stands at 29 percent, per its published community report (fictional). Our senior center members most often ask for help with exactly two tasks: the patient portal and benefits renewals. Twice-weekly drop-in tech help staffed by trained volunteers, with loaner tablets that require no online reservation, addresses the two documented tasks where being offline now carries direct consequences.
Annotation. The need is framed by consequence, not by deficit: the problem is not that seniors lack a skill, it is that essential systems moved and left a specific access gap. The two-task detail, drawn from the organization’s own contact records, keeps the program honest and small.
The ethics review: urgency without exaggeration
Every example above holds three ethical lines, and a needs statement that breaks them fails even when it persuades. First, evidence over adjectives: no population is described as desperate, broken, or forgotten, because the numbers carry the urgency and the adjectives cost the community its dignity. Second, strengths stay visible: five of the six examples name an existing community asset, which reflects the principles articulated by Community-Centric Fundraising that communities are not raw material for fundraising narratives. Third, stories are consent-bound: none of the examples quotes an identifiable person, and the Ethical Storytelling pledge is the standard to apply before any client story enters a proposal.
A needs statement also cannot prove that your program is the answer; it proves the gap is real, documented, and reachable, and the program sections that follow it must carry the rest, the way the annotated sample grant proposal shows a need section handing off to program and evaluation. Even a fully evidenced statement cannot guarantee a funder’s decision. What the six-part chain guarantees is smaller and decisive: nothing in your opening section will be the reason a reviewer stops trusting the rest.