ZIP code
64723
in Amsterdam, MissouriPopulation 452
42.39/ 100
Ranked #24,916 of 32,066 US ZIPs (bottom 22%)
Ranked #575 of 993 Missouri ZIPs (bottom 42%)
Ranked #167 of 200 Kansas City, MO-KS ZIPs (bottom 17%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Loud transportation noise
3.6%
in the top 2.8% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Fiber broadband
99.3%
in the top 4.0% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Transportation noise
14.0%
in the top 4.9% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Arsenic in groundwater
1.2%
in the bottom 6.5% nationally
Lower is healthier
ST19thUS6thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Nitrate in drinking water
0.20%
in the top 7.9% nationally
Lower is healthier
ST98thUS92ndDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Colon-cancer screening
58.5%
in the bottom 10.3% nationally
Higher is healthier
ST8thUS10thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Dry extreme heat
27.6 days/year
in the top 17% nationally
Lower is healthier
ST94thUS83rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
On balance, and by the composite measure, Amsterdam, Missouri (ZIP 64723) ranks in the bottom 22% nationally (24,916th) and the bottom 42% of Missouri (575th).
Strengths and concerns sit side by side across the measures here: fiber broadband registers in the top 4.0% nationally, and modeled arsenic sits in the bottom 6.5% nationally. Households without a vehicle rests at the national minimum, shared with about 16% of ZIPs. Modeled disaster risk is in the bottom 10.4% nationally. On the other hand, modeled loud transportation noise stands in the top 2.8% nationally, transportation noise settles in the top 4.9% nationally, and nitrate lies in the top 7.9% nationally. Modeled colon screening resides in the bottom 10.3% nationally, modeled tooth loss lands in the top 13.1% nationally, and slow internet speeds registers in the top 16% nationally.
In plainer terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. For a healthier nearby ZIP overall, look to ZIP 64720, just across the boundary.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Kansas City, MO-KS metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Nothing measured is lifting this score.
About typical
Social Need / SDOH
healthier than 47%
16%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Environmental Hazard
healthier than 6%
14%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 34%
8%
Disability
healthier than 31%
7%
Climate / Disaster Risk
healthier than 33%
5%
Healthcare Access
healthier than 23%
5%
Lifting this score
Mental Health
healthier than 60%
8%
About typical
Chronic Disease Burden
healthier than 46%
21%
Social Need / SDOH
healthier than 52%
16%
Disability
healthier than 58%
7%
Holding it back
Environmental Hazard
healthier than 7%
14%
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 38%
11%
Climate / Disaster Risk
healthier than 38%
5%
Healthcare Access
healthier than 18%
5%
Nothing measured is lifting this score.
About typical
Climate / Disaster Risk
healthier than 42%
5%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 29%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 23%
13%
Risk Behavior
healthier than 19%
11%
Mental Health
healthier than 38%
8%
Disability
healthier than 24%
7%
Healthcare Access
healthier than 5%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
64720
Missourishares a border
Score 46.56
Closest healthier
64722
Missourishares a border
Score 44.51
Similar health profile
40213
Kentucky94% similar profile
Score 39.47
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 31.9% | 28.4–35.7 |
| High blood pressure among adults | 39.4% | 35.1–43.8 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 8.8–10.9 |
| Current asthma among adults | 10.6% | 9.3–12.0 |
| Coronary heart disease among adults | 7.8% | 6.9–8.8 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 7.9–10.7 |
| Depression among adults | 24.9% | 21.3–28.9 |
| Diagnosed diabetes among adults | 12.7% | 10.9–14.7 |
| High cholesterol among adults who have ever been screened | 40.0% | 35.4–44.8 |
| Obesity among adults | 39.7% | 31.6–48.0 |
| Stroke among adults | 4.0% | 3.6–4.5 |
| All teeth lost among adults aged >=65 years | 21.7% | 18.0–25.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.1% | 6.5–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.2% | 75.0–81.1 |
| Visits to doctor for routine checkup within the past year among adults | 78.7% | 74.9–82.1 |
| Cholesterol screening among adults | 85.6% | 83.5–87.4 |
| Colorectal cancer screening among adults aged 45–75 years | 58.5% | 53.1–63.5 |
| Visited dentist or dental clinic in the past year among adults | 55.0% | 51.1–58.8 |
| Mammography use among women aged 50-74 years | 71.5% | 63.2–78.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.0% | 13.1–19.2 |
| Current cigarette smoking among adults | 18.4% | 15.3–21.9 |
| No leisure-time physical activity among adults | 30.3% | 25.5–35.6 |
| Short sleep duration among adults | 39.8% | 33.0–46.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.8% | 18.8–25.3 |
| Frequent mental distress among adults | 17.4% | 15.3–19.7 |
| Frequent physical distress among adults | 15.6% | 13.7–17.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.5% | 15.3–19.9 |
| Any disability among adults | 37.9% | 33.2–43.0 |
| Hearing disability among adults | 9.7% | 8.6–10.9 |
| Independent living disability among adults | 9.5% | 8.3–10.9 |
| Mobility disability among adults | 17.5% | 15.1–20.3 |
| Self-care disability among adults | 4.3% | 3.7–4.9 |
| Vision disability among adults | 5.3% | 4.6–6.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.5% | 16.4–23.0 |
| Food insecurity in the past 12 months among adults | 12.2% | 10.1–14.7 |
| Received food stamps in the past 12 months among adults | 9.7% | 7.9–11.7 |
| Housing insecurity in the past 12 months among adults | 10.7% | 9.0–12.7 |
| Lack of reliable transportation in the past 12 months among adults | 7.6% | 6.6–8.7 |
| Loneliness among adults | 29.5% | 24.7–34.8 |
| Utility services shut-off threat in the past 12 months among adults | 8.1% | 6.9–9.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.0% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 14.1% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 5.1% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 28.1% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 1.9% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 80.1% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 16.0% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 81.1% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 1.5% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 67.7% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 25.9% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 50.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $63,500 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $181,900 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $588 | $1,021 ($677–$1,912) n=25,670 | $813 ($553–$1,265) n=786 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 89.2 yr ± 3.00 | 78.9 yr (74.7–82.8) n=31,308 | 77.6 yr (74.6–81.0) n=995 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 3.00 years of 89.2, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured