Zip code 13404: Martinsburg, New York
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 13404
13404 is a small-town zip code in Martinsburg, New York (Lewis County), covering 1.7 sq mi of land. About 159 people live here, or 96 per square mile. The median resident is 41.6 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
0% of residents live below the poverty line (U.S.: 12.5%). The median home value is $92,600. 62% of occupied homes are lived in by their owners.
16% of adults hold a bachelor's degree or higher (U.S.: 36%). Commuters average 9.7 minutes each way, and 0% of workers work from home. The most common jobs among working residents are in production and manufacturing; healthcare; and food service.
How 13404 compares
Only about 159 people live here, so these survey estimates have wide margins of error.
- Residents under 1832.7%98thU.S. 22% · NY 20.5%43rd of 1,693 in NY
- Healthcare workers12.9%88thU.S. 9.7% · NY 11.8%428th of 1,685 in NY
- Median age41.669thU.S. 38.9 · NY 39.81,036th of 1,693 in NY
- Uninsured rate5.7%40thU.S. 8.4% · NY 5.1%417th of 1,689 in NY
- 40thU.S. 10% · NY 9.7%1,005th of 1,685 in NY
- Median earnings per worker$44,37538thU.S. $49,666 · NY $55,3211,222nd of 1,676 in NY
- Homeownership rate62.1%36thU.S. 65.2% · NY 54.3%1,330th of 1,673 in NY
- Veterans4.7%35thU.S. 6.2% · NY 3.7%970th of 1,693 in NY
- 17thU.S. 17.2% · NY 17.9%1,531st of 1,693 in NY
- Population density96/sq mi13thU.S. 95/sq mi · NY 421/sq mi1,042nd of 1,693 in NY
- 12thWeaknessU.S. 35.7% · NY 40.2%1,476th of 1,691 in NY
- Per capita income$26,16010thWeaknessU.S. $44,673 · NY $50,7121,583rd of 1,690 in NY
- 4thU.S. 14.5% · NY 16.4%1,572nd of 1,685 in NY
- 3rdStrengthU.S. 0.483 · NY 0.5171,477th of 1,669 in NY
- Median home value$92,6002ndU.S. $332,700 · NY $423,8001,578th of 1,614 in NY
- 2ndU.S. 61.4 · NY 65.51,572nd of 1,693 in NY
- Population1591stU.S. 334,922,499 · NY 19,852,3661,643rd of 1,693 in NY
- 1stStrengthU.S. 12.5% · NY 14%1,631st of 1,679 in NY
- Average commute9.7 min1stStrengthU.S. 26.4 min · NY 32.6 min1,614th of 1,618 in NY
- 1stU.S. 15.1% · NY 14.9%1,641st of 1,685 in NY
- 1stStrengthU.S. 5.2% · NY 6.4%1,581st of 1,685 in NY
- Broadband access62.1%1stWeaknessU.S. 91% · NY 90.8%1,647th of 1,673 in NY
- 1stU.S. 14.1% · NY 22.8%1,620th of 1,693 in NY
- 1stU.S. 10.1% · NY 10%1,619th of 1,675 in NY
- 1stStrengthU.S. 51.1% · NY 52.1%1,532nd of 1,579 in NY
- 1stU.S. 3.8% · NY 3.5%1,498th of 1,685 in NY
| Measure | 13404 | Lewis | NY | U.S. | National percentile | Rank in NY |
|---|---|---|---|---|---|---|
| Residents under 18 | 32.7% | 22.6% | 20.5% | 22% | 43rd of 1,693 | |
| Healthcare workers | 12.9% | 10.3% | 11.8% | 9.7% | 428th of 1,685 | |
| Median age | 41.6 | 41.9 | 39.8 | 38.9 | 1,036th of 1,693 | |
| Uninsured rate | 5.7% | 5.7% | 5.1% | 8.4% | 417th of 1,689 | |
| Self-employed workers | 8.6% | 14% | 9.7% | 10% | 1,005th of 1,685 | |
| Median earnings per worker | $44,375 | $45,922 | $55,321 | $49,666 | 1,222nd of 1,676 | |
| Homeownership rate | 62.1% | 80.2% | 54.3% | 65.2% | 1,330th of 1,673 | |
| Veterans | 4.7% | 8.3% | 3.7% | 6.2% | 970th of 1,693 | |
| Residents 65 and older | 11.9% | 20.5% | 17.9% | 17.2% | 1,531st of 1,693 | |
| Population density | 96/sq mi | 21/sq mi | 421/sq mi | 95/sq mi | 1,042nd of 1,693 | |
| Bachelor's degree or higherWeakness | 16% | 18.6% | 40.2% | 35.7% | 1,476th of 1,691 | |
| Per capita incomeWeakness | $26,160 | $33,677 | $50,712 | $44,673 | 1,583rd of 1,690 | |
| Government workers | 7.1% | 25.6% | 16.4% | 14.5% | 1,572nd of 1,685 | |
| Income inequality (Gini)Strength | 0.349 | 0.399 | 0.517 | 0.483 | 1,477th of 1,669 | |
| Median home value | $92,600 | $166,100 | $423,800 | $332,700 | 1,578th of 1,614 | |
| Diversity index | 4.9 | 12.5 | 65.5 | 61.4 | 1,572nd of 1,693 | |
| Population | 159 | 26,607 | 19,852,366 | 334,922,499 | 1,643rd of 1,693 | |
| Poverty rateStrength | 0% | 12.3% | 14% | 12.5% | 1,631st of 1,679 | |
| Average commuteStrength | 9.7 min | 24.2 min | 32.6 min | 26.4 min | 1,614th of 1,618 | |
| Work from home | 0% | 7.5% | 14.9% | 15.1% | 1,641st of 1,685 | |
| Unemployment rateStrength | 0% | 5.2% | 6.4% | 5.2% | 1,581st of 1,685 | |
| Broadband accessWeakness | 62.1% | 86.5% | 90.8% | 91% | 1,647th of 1,673 | |
| Foreign-born residents | 0% | 1.4% | 22.8% | 14.1% | 1,620th of 1,693 | |
| Housing vacancy | 0% | 29% | 10% | 10.1% | 1,619th of 1,675 | |
| Rent-burdened rentersStrength | 0% | 42.3% | 52.1% | 51.1% | 1,532nd of 1,579 | |
| Tech workers | 0% | 1% | 3.5% | 3.8% | 1,498th of 1,685 |
The percentile is the share of Americans who live in a zip code with a lower value, so the 50th percentile is typical. Rank 1 is the highest value in the state. Both include zip codes with at least 100 residents. Strengths and weaknesses mark measures in the best or worst fifth nationally, where higher or lower is clearly better (income, poverty, education, commute, broadband, insurance and similar). Measures like age or density are left unmarked.
People
Age
Race and ethnicity
- White97%
- Black0%
- Hispanic0%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial3%
Language spoken at home (households)
Households
- Households
- 66
- Average household size
- 2.4
- Family households
- 47%
- Married couples
- 36.4%
- Living alone
- 53%
- Veterans (of adults)
- 4.7%
- Male / female
- 48% / 52%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 66
- Owner-occupied
- 62.1%
- Vacant
- 0%
- Median year built
- 1939 or earlier
- Median rooms
- 5.3
- Renters paying 30%+ of income
- 0%
- Renters paying 50%+ of income
- 0%
- Home value to income
- —
Work and commute
How people get to work
Commute time (one way)
Jobs and careers
Occupations
Industries
Median earnings by type of work
| Type of work | 13404 | U.S. |
|---|---|---|
| Management, business, science and arts | — | $74,888 |
| Service | $44,688 | $26,804 |
| Sales and office | — | $40,476 |
| Construction and maintenance | — | $49,199 |
| Production and transportation | $48,333 | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 100%
- Bachelor's degree or higher
- 16%
- Graduate or professional degree
- 0%
- Households with broadband
- 62.1%
- Cable, fiber or DSL
- 62.1%
- No internet access
- 24.2%
- Without health insurance
- 5.7%
- Limited-English households
- 0%
Geography
- City (USPS)
- Martinsburg
- State
- New York
- County
- Lewis County
- Center point
- 43.7384° N, 75.4809° W
- Land area
- 1.7 sq mi
- Water area
- under 0.1 sq mi
- Time zone
- Eastern Time (UTC-5, UTC-4 in summer)
- Zip type
- Residential delivery area
Zip codes near 13404
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 13367 | Lowville, NY | 2.8 mi | $67,873 |
| 13473 | Turin, NY | 6.8 mi | $103,598 |
| 13343 | Glenfield, NY | 8.6 mi | $70,478 |
| 13345 | Greig, NY | 8.6 mi | $48,750 |
| 13368 | Lyons Falls, NY | 9.8 mi | $62,159 |
| 13305 | Beaver Falls, NY | 11 mi | — |
| 13325 | Constableville, NY | 11 mi | $58,750 |
| 13620 | Castorland, NY | 12 mi | $70,087 |
| 13631 | Denmark, NY · PO box | 12 mi | — |
| 13312 | Brantingham, NY | 14 mi | $72,266 |
| 13626 | Copenhagen, NY | 14 mi | $64,495 |
| 13627 | Deer River, NY · PO box | 14 mi | — |
Questions about 13404
What city is zip code 13404?
13404 is assigned to Martinsburg, New York. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 13404 in?
13404 is in Lewis County, New York.
What is the population of 13404?
About 159 people live in 13404, according to the Census Bureau's American Community Survey.
What time zone is 13404 in?
13404 is in Eastern Time.
What zip codes are near 13404?
The closest zip codes to 13404 are 13367, 13473, 13343, 13345, 13368.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 13404, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.