ZIP code
87001
in Algodones, New MexicoPopulation 3,560
34.15/ 100
Ranked #29,683 of 32,066 US ZIPs (bottom 7.5%)
Ranked #292 of 337 New Mexico ZIPs (bottom 13.4%)
Ranked #47 of 51 Albuquerque, NM ZIPs (bottom 7.9%)
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.
Colon-cancer screening
50.8%
in the bottom 2.4% nationally
Higher is healthier
ST16thUS2ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Mammography
64.4%
in the bottom 2.4% nationally
Higher is healthier
ST24thUS2ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Home broadband subscription
53.3%
in the bottom 1.9% nationally
Higher is healthier
ST11thUS2ndDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Lack of transportation
17.9%
in the top 3.4% nationally
Lower is healthier
ST86thUS97thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Short sleep
43.9%
in the top 4.7% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Arsenic in groundwater
26.5%
in the top 4.1% nationally
Lower is healthier
ST90thUS96thDefinition & 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 ›Utility shut-off threat
17.2%
in the top 4.4% nationally
Lower is healthier
ST85thUS96thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Fatal road crashes
47.8 per 100,000 residents per year
in the top 4.5% nationally
Lower is healthier
ST86thUS96thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Food insecurity
32.1%
in the top 4.8% nationally
Lower is healthier
ST85thUS95thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Tree cover
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›The read
Algodones, New Mexico (ZIP 87001), by its overall standing, sits in the bottom 7.5% nationally (29,683rd) and the bottom 13.4% of New Mexico (292nd).
The data points to real strain across a number of measures here: modeled colon screening resides in the bottom 2.4% nationally, modeled mammography rests in the bottom 2.4% nationally, and home broadband subscription lies in the bottom 1.9% nationally. Modeled transportation sits in the top 3.4% nationally, short sleep settles in the top 4.7% nationally, and arsenic registers in the top 4.1% nationally. Modeled utility shutoff stands in the top 4.4% nationally, and fatal road crashes lands in the top 4.5% nationally. Modeled food insecurity is in the top 4.8% nationally, and tree cover resides at the national minimum.
Defined in plain terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. The nearest ZIP ranking healthier overall is ZIP 87004, 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 Albuquerque, NM metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Climate / Disaster Risk
healthier than 88%
5%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Social Need / SDOH
healthier than 6%
16%
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 9%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 10%
7%
Healthcare Access
healthier than 25%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 42%
21%
Climate / Disaster Risk
healthier than 47%
5%
Healthcare Access
healthier than 45%
5%
Holding it back
Social Need / SDOH
healthier than 23%
16%
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 19%
13%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 32%
7%
Lifting this score
Climate / Disaster Risk
healthier than 65%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Social Need / SDOH
healthier than 7%
16%
Environmental Hazard
healthier than 21%
14%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 7%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 12%
7%
Healthcare Access
healthier than 21%
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
87004
New Mexicoshares a border
Score 47.58
Closest healthier
87010
New Mexicoshares a border
Score 61.84
Similar health profile
81334
Colorado98% similar profile
Score 27.92
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 | 26.1% | 23.0–29.2 |
| High blood pressure among adults | 36.1% | 32.1–40.3 |
| Cancer (non-skin) or melanoma among adults | 5.9% | 5.3–6.5 |
| Current asthma among adults | 13.3% | 11.6–14.9 |
| Coronary heart disease among adults | 7.2% | 6.4–8.1 |
| Chronic obstructive pulmonary disease among adults | 7.9% | 6.8–9.2 |
| Depression among adults | 26.9% | 22.9–31.0 |
| Diagnosed diabetes among adults | 15.4% | 13.3–17.6 |
| High cholesterol among adults who have ever been screened | 32.9% | 28.9–36.9 |
| Obesity among adults | 38.5% | 31.8–45.6 |
| Stroke among adults | 4.5% | 4.0–5.0 |
| All teeth lost among adults aged >=65 years | 24.0% | 19.9–27.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.8% | 10.4–15.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.9% | 67.4–74.0 |
| Visits to doctor for routine checkup within the past year among adults | 66.9% | 62.3–71.0 |
| Cholesterol screening among adults | 80.0% | 77.1–82.7 |
| Colorectal cancer screening among adults aged 45–75 years | 50.8% | 45.3–55.7 |
| Visited dentist or dental clinic in the past year among adults | 47.8% | 43.6–51.4 |
| Mammography use among women aged 50-74 years | 64.4% | 55.2–72.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.3% | 11.6–17.2 |
| Current cigarette smoking among adults | 22.4% | 19.0–26.2 |
| No leisure-time physical activity among adults | 28.4% | 23.8–33.4 |
| Short sleep duration among adults | 43.9% | 37.7–49.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.8% | 24.9–33.0 |
| Frequent mental distress among adults | 22.0% | 19.4–24.8 |
| Frequent physical distress among adults | 19.0% | 16.6–21.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.6% | 17.9–23.7 |
| Any disability among adults | 42.2% | 37.1–47.4 |
| Hearing disability among adults | 9.7% | 8.5–10.9 |
| Independent living disability among adults | 12.6% | 10.9–14.6 |
| Mobility disability among adults | 18.9% | 16.3–21.7 |
| Self-care disability among adults | 5.5% | 4.8–6.2 |
| Vision disability among adults | 9.3% | 8.2–10.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 31.8% | 27.4–36.6 |
| Food insecurity in the past 12 months among adults | 32.1% | 27.2–37.3 |
| Received food stamps in the past 12 months among adults | 25.7% | 21.4–30.1 |
| Housing insecurity in the past 12 months among adults | 23.6% | 20.1–27.2 |
| Lack of reliable transportation in the past 12 months among adults | 17.9% | 15.5–20.6 |
| Loneliness among adults | 38.7% | 33.4–44.2 |
| Utility services shut-off threat in the past 12 months among adults | 17.2% | 14.8–19.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NM median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.2% | 10.6% (3.1–25.8%) n=32,364 | 15.0% (0.0–39.0%) n=347 |
| Uninsured 18–64 | 11.2% | 9.0% (1.5–24.3%) n=32,286 | 12.5% (0.0–35.5%) n=339 |
| No HS diploma (25+) | 20.1% | 7.9% (1.8–20.7%) n=32,505 | 9.2% (0.0–28.5%) n=350 |
| Bachelor's or higher (25+) | 14.8% | 23.3% (9.2–53.6%) n=32,505 | 19.3% (0.0–51.7%) n=350 |
| Unemployment rate (16+) | 5.9% | 3.9% (0.0–9.8%) n=32,274 | 3.8% (0.0–15.2%) n=339 |
| Households without a vehicle | 8.3% | 3.9% (0.0–12.5%) n=32,322 | 2.3% (0.0–12.4%) n=347 |
| Broadband subscription | 53.3% | 89.3% (75.1–97.1%) n=32,322 | 83.1% (53.2–100.0%) n=347 |
| Housing cost burden (≥30% income) | 14.8% | 23.7% (10.6–40.0%) n=32,322 | 18.6% (0.0–41.4%) n=347 |
| Homeownership rate | 90.3% | 78.7% (51.7–94.0%) n=32,322 | 83.2% (59.9–100.0%) n=347 |
| Crowded housing (>1 per room) | 9.6% | 1.3% (0.0–6.3%) n=32,322 | 0.4% (0.0–11.2%) n=347 |
| Foreign-born population | 2.7% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.0–15.7%) n=352 |
| Single-parent households | 52.8% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (28.8–100.0%) n=339 |
| Population 65+ | 16.7% | 19.4% (10.8–33.6%) n=32,553 | 22.8% (7.9–55.9%) n=352 |
| Median age | 39.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 45.0 yr (31.2–67.3) n=339 |
| Median household income | $68,547 | $72,070 ($46,039–$118,707) n=30,318 | $55,329 ($33,023–$90,174) n=265 |
| Median home value | $215,800 | $222,200 ($100,300–$579,820) n=30,049 | $185,100 ($77,100–$382,920) n=255 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $917 ($549–$1,408) n=173 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | NM median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 77.9 yr ± 0.91 | 78.9 yr (74.7–82.8) n=31,308 | 79.5 yr (76.1–83.2) n=357 |
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 0.91 years of 77.9, 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