| Course | NU 780 Population Health |
|---|---|
| Unit | Unit 1 |
| Paper type | Community health assessment |
| Length | About 1,020 words, 6 pages |
| Format | APA 7 student paper |
| School | Herzing University |
| Program | MSN |
| Updated | October 2026 |
Free sample paper for NU 780 Unit 1
Community Assessment of Three Census Tracts in an Inner-Ring Suburb: What the Data Report and What the Streets Show
Student Name
Department of Nursing, Herzing University
NU 780: Population Health
Instructor Name
January 23, 2026
Community Assessment of Three Census Tracts in an Inner-Ring Suburb: What the Data Report and What the Streets Show
The Community and Why This Boundary
The community assessed here is a composite of three adjacent census tracts, referred to as Eastgate, in an inner-ring suburb of a mid-sized Midwestern city, with a combined population of about 11,800. The boundary was chosen for three reasons: census tracts are the smallest unit for which most federal health and socioeconomic estimates are published; these three tracts share a single elementary school, a commercial corridor, and a bus line; and residents describe them as one neighborhood. A county-level assessment would have hidden the neighborhood inside a county whose averages look healthy, and a single tract would have been too small for stable estimates. Population health is concerned with the distribution of health outcomes within a defined group, which is why the definition of the group comes first (Kindig & Stoddart, 2003).
What the Published Data Report
Demographics, taken from the Census Bureau's pooled 2019 to 2023 survey estimates for the three tracts: median age 34, younger than the county's 39; 28% of residents under 18; 31% Black, 44% White, 17% Hispanic or Latino, and 5% Asian; in 22% of households the main home language is not English, usually Spanish. Median household income was about $44,000, compared with $67,000 for the county; 24% of residents lived below the federal poverty level; 58% of housing units were renter-occupied.
Health indicators, from the CDC PLACES model-based estimates for 2022, which estimate prevalence at the census tract level from national survey data: adult obesity about 39%, diagnosed diabetes about 14%, current smoking about 19%, and lack of health insurance among adults 18 to 64 about 15%, each higher than the county estimate (Centers for Disease Control and Prevention [CDC], 2024). These are modeled estimates, not local measurements, and their uncertainty is greatest in small areas.
County context, from the County Health Rankings for 2024: the county ranks in the top third of its state for health outcomes and has a ratio of primary care physicians to population better than the state average (University of Wisconsin Population Health Institute, 2024). That county picture is accurate, and it does not describe Eastgate.
What Was Observed on the Ground
A windshield and walking survey was conducted on a Tuesday afternoon and a Saturday morning in January, covering every street in the three tracts. Food: the commercial corridor has two dollar stores, a convenience store, four fast-food restaurants, and one small grocery that sells produce, which closed at 6 p.m.; the nearest full-service supermarket is 2.3 miles away, across a highway without a pedestrian crossing. Health services: a primary care clinic that appeared on the county's provider list had a sign saying it closed in September; the only remaining health service in the tracts is a pharmacy in one of the dollar stores that closes at 5 p.m. and all day Sunday. Physical environment: sidewalks are present on main streets but broken or absent on several residential blocks; one park has a playground with a sign saying it was closed for repairs; three vacant houses on one block had boarded windows. Community assets: four churches, two with food pantries posted on their doors; a library branch with evening hours; a laundromat with a community bulletin board advertising English classes, rides, and child care, many in Spanish and some in Haitian Creole.
Where Data and Observation Disagree
Three gaps between published data and observation matter for population health work. First, access to care: the county's physician supply looks good, and the provider directory lists a clinic in Eastgate, but that clinic has closed, and residents without cars must travel several miles for primary care. Published supply data lag behind closures. Second, language: the survey data list Spanish as the main non-English language, but notices in Haitian Creole on the laundromat board and at a church suggest a newer Haitian community that five-year estimates may not yet capture. Third, food access: the data show high obesity and diabetes, but only the walking survey shows how limited healthy food is within reach. These gaps are the reason for using both sources.
Conversations With Residents and Stakeholders
Brief conversations with the library branch manager, a pastor who runs one of the food pantries, and the elementary school nurse added what neither data nor observation showed. The school nurse reported that the most common reason children miss school, in her view, is uncontrolled asthma, and that several families have no primary care clinician since the clinic closed. The pastor said pantry use had doubled in two years, with many working families. The librarian said the branch's evening hours are heavily used for internet access to apply for jobs and benefits. These accounts are not data in the statistical sense, but they point toward problems worth measuring.
Limits of This Assessment
The assessment has limits that should shape how it is used. The observation covered two days in winter, when outdoor activity, park use, and seasonal businesses look different from summer. The conversations reached three people who serve the community rather than a sample of residents, and none of them was a member of the newer Haitian community whose presence the notices suggested. The published estimates for small areas are model-based and carry wide uncertainty, so small differences from the county should not be overinterpreted. And the assessment did not include data on crime, housing quality, or environmental exposures such as traffic pollution along the highway, each of which could matter for the priorities named below. A fuller assessment would add resident focus groups, including in Spanish and Haitian Creole, and a summer walking survey.
Priorities Suggested by the Assessment
The assessment suggests three priorities for later work: access to primary care after the clinic closure, childhood asthma, and food access linked to diabetes risk. The next step is an epidemiologic profile of one of these problems using rates that can be compared with the county, and a check of the language needs of the newer Haitian community with the school district and churches.
References
Centers for Disease Control and Prevention. (2024). PLACES: Local data for better health. https://www.cdc.gov/places/
Kindig, D., & Stoddart, G. (2003). What is population health? American Journal of Public Health, 93(3), 380-383. https://doi.org/10.2105/AJPH.93.3.380
University of Wisconsin Population Health Institute. (2024). County health rankings and roadmaps. https://www.countyhealthrankings.org/
The Herzing NU 780 Unit 1 instructions
Unit 1 is a community health assessment of a defined population or geographic area. You will describe the community and its boundary, gather secondary data on demographics, health outcomes and determinants, conduct primary observation such as a windshield survey, identify assets as well as needs, and suggest priorities. Many versions use a named framework, such as the County Health Rankings model or a community-as-partner approach. Check whether your section requires interviews or allows observation alone. A boundary of a few census tracts or one town is easier to describe accurately than a whole county. Public sources such as the American Community Survey and CDC PLACES give tract-level data you can cite, so the assessment can rest on checkable figures.
How this NU 780 Unit 1 example is built
The assessment begins by naming the community and explaining why this boundary was chosen, which shows the grader the choice was deliberate. Published data are organized by category with each figure's source and year. The observation section reports what was seen on two specific days, street by street, in plain description. The section where data and observation disagree is the analytic core, showing that tract statistics can hide a closed clinic or a food environment that has changed. Conversations with three local figures add context and assets, such as the library's free internet and pantry hours. The limits section notes winter observation and a small number of conversations. Priorities are drawn from where the evidence converges rather than from a single statistic.
Reading the NU 780 Unit 1 rubric
A Herzing community assessment rubric typically gives points for the description of the community, the use of secondary data, primary data collection, identification of assets and needs, analysis, priorities, and writing. Secondary data points reward current, cited sources at the right geographic level. Primary data criteria look for systematic observation or interviews described clearly. Analysis carries the most points, and the top band goes to papers that compare sources and reach conclusions instead of listing statistics. Asset identification is often its own row, so strengths matter. Priority points go to choices supported by more than one source. Clear structure and APA 7 make up the last row; Kindig and Stoddart's definition of population health belongs in the references.
Common NU 780 Unit 1 mistakes, and how to avoid them
Many Unit 1 assessments lose points by listing statistics without interpreting them. Another frequent problem is county-level data used for a much smaller area without noting the mismatch. Students often skip assets, describing only problems. Windshield surveys done from memory or online maps, rather than on the ground, show in vague descriptions. Priorities chosen before the data were gathered tend to ignore what the assessment found. Leaving out limits makes the conclusions look stronger than they are. Old data, such as figures from a decade ago, weakens the paper. Finally, cite each data source with its year, because graders check whether the numbers are current and whether they match the stated boundary.
Get a NU 780 Unit 1 example written to your instructions
Send the Unit 1 instructions and the rubric from your NU 780 classroom, plus the community you are assessing and any local data you can share. We write a custom example that bounds the community, pairs data with observation and names its assets, returned in 24 to 48 hours. The first custom sample is free.
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NU 780 Unit 1 questions, answered
How large should the community be?
Small enough to characterize honestly. A few census tracts, a service area or a town gives you a population whose circumstances are broadly shared; a county contains several communities whose health profiles differ sharply, and averaging them describes none of them. Choose a boundary you can defend, say why, and note where it fails to align with how data is reported.
Where does the observational part come from?
Going there and looking. A drive or walk through the area, noting what shops sell food, where the bus stops are, what condition the housing is in and whether there is anywhere safe to walk, produces information no dataset holds. Describe what you observed and when, and keep it separate from the published figures rather than blending the two.
Why include community assets?
Because interventions are built on them. A church with a hall, a clinic that already runs a screening day, a food pantry with volunteers and a school nurse who knows every family are the infrastructure any program would use. An assessment that catalogs only problems leaves the next unit designing from nothing, and it misrepresents the place besides.
Where can I find a free NU 780 Unit 1 sample paper?
The whole NU 780 Unit 1 Eastgate assessment can be read free on this page, published data, street observation and priorities included. If you need an assessment of your own town or tracts, a custom paper can be built from public data for that area.
What is a windshield survey in community health nursing?
It is a structured look at a community from the street, noting housing, food outlets, transportation, health services, safety and gathering places. This sample walked and drove every street in three tracts on two days and compared what it saw with published data.