Zip code 17858: Numidia, Pennsylvania
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 17858
17858 is a small-town zip code in Numidia, Pennsylvania (Columbia County), covering 0.3 sq mi of land. About 111 people live here, or 350 per square mile. The median resident is 53.4 years old, compared with 38.9 nationally. With so few residents, the Census figures below are rough estimates with wide margins of error.
The median household earns $81,250 a year, close to the national median of $80,734. 0% of residents live below the poverty line (U.S.: 12.5%). A typical home is valued at $228,900, or 2.8 years of median household income (U.S.: 4.1 years), which makes homes relatively affordable for local earners. 100% of occupied homes are lived in by their owners.
23% of adults hold a bachelor's degree or higher (U.S.: 36%). The most common jobs among working residents are in management; office and administrative support; and transportation and moving goods.
How 17858 compares
Only about 111 people live here, so these survey estimates have wide margins of error.
- 99thStrengthU.S. 65.2% · PA 69.3%24th of 1,698 in PA
- Unemployment rate31.7%99thWeaknessU.S. 5.2% · PA 5.3%6th of 1,704 in PA
- 98thU.S. 17.2% · PA 19.5%73rd of 1,707 in PA
- Median age53.497thU.S. 38.9 · PA 40.9195th of 1,707 in PA
- Veterans13%96thU.S. 6.2% · PA 6.1%118th of 1,707 in PA
- Broadband access94.7%73rdU.S. 91% · PA 89.7%287th of 1,698 in PA
- Median earnings per worker$53,19464thU.S. $49,666 · PA $50,599444th of 1,693 in PA
- Median household income$81,25052ndU.S. $80,734 · PA $77,971534th of 1,617 in PA
- Per capita income$37,88144thU.S. $44,673 · PA $44,355768th of 1,707 in PA
- Population density350/sq mi28thU.S. 95/sq mi · PA 291/sq mi777th of 1,707 in PA
- Median home value$228,90028thU.S. $332,700 · PA $254,500614th of 1,628 in PA
- 27thU.S. 35.7% · PA 35.2%832nd of 1,706 in PA
- Work from home7.3%18thU.S. 15.1% · PA 15.6%1,174th of 1,704 in PA
- 2ndU.S. 22% · PA 20.4%1,556th of 1,707 in PA
- Population1111stU.S. 334,922,499 · PA 13,018,6391,695th of 1,707 in PA
- 1stStrengthU.S. 12.5% · PA 11.7%1,638th of 1,699 in PA
- 1stU.S. 61.4 · PA 44.61,625th of 1,707 in PA
- 1stStrengthU.S. 8.4% · PA 5.6%1,599th of 1,705 in PA
- 1stU.S. 14.1% · PA 7.7%1,429th of 1,707 in PA
- 1stU.S. 10.1% · PA 9.2%1,578th of 1,699 in PA
- 1stU.S. 3.8% · PA 3.6%1,378th of 1,704 in PA
- 1stU.S. 9.7% · PA 11.5%1,625th of 1,704 in PA
- 1stU.S. 10% · PA 8.2%1,612th of 1,704 in PA
- 1stU.S. 14.5% · PA 11.5%1,634th of 1,704 in PA
- 1stStrengthU.S. 0.483 · PA 0.4741,561st of 1,697 in PA
| Measure | 17858 | Columbia | PA | U.S. | National percentile | Rank in PA |
|---|---|---|---|---|---|---|
| Homeownership rateStrength | 100% | 69.5% | 69.3% | 65.2% | 24th of 1,698 | |
| Unemployment rateWeakness | 31.7% | 6% | 5.3% | 5.2% | 6th of 1,704 | |
| Residents 65 and older | 36% | 20.3% | 19.5% | 17.2% | 73rd of 1,707 | |
| Median age | 53.4 | 41 | 40.9 | 38.9 | 195th of 1,707 | |
| Veterans | 13% | 6.2% | 6.1% | 6.2% | 118th of 1,707 | |
| Broadband access | 94.7% | 87.8% | 89.7% | 91% | 287th of 1,698 | |
| Median earnings per worker | $53,194 | $42,975 | $50,599 | $49,666 | 444th of 1,693 | |
| Median household income | $81,250 | $64,644 | $77,971 | $80,734 | 534th of 1,617 | |
| Per capita income | $37,881 | $33,218 | $44,355 | $44,673 | 768th of 1,707 | |
| Population density | 350/sq mi | 135/sq mi | 291/sq mi | 95/sq mi | 777th of 1,707 | |
| Median home value | $228,900 | $206,200 | $254,500 | $332,700 | 614th of 1,628 | |
| Bachelor's degree or higher | 22.5% | 26.6% | 35.2% | 35.7% | 832nd of 1,706 | |
| Work from home | 7.3% | 12.9% | 15.6% | 15.1% | 1,174th of 1,704 | |
| Residents under 18 | 9.9% | 17.6% | 20.4% | 22% | 1,556th of 1,707 | |
| Population | 111 | 65,362 | 13,018,639 | 334,922,499 | 1,695th of 1,707 | |
| Poverty rateStrength | 0% | 13.7% | 11.7% | 12.5% | 1,638th of 1,699 | |
| Diversity index | 0 | 17.8 | 44.6 | 61.4 | 1,625th of 1,707 | |
| Uninsured rateStrength | 0% | 4% | 5.6% | 8.4% | 1,599th of 1,705 | |
| Foreign-born residents | 0% | 2.8% | 7.7% | 14.1% | 1,429th of 1,707 | |
| Housing vacancy | 0% | 11.6% | 9.2% | 10.1% | 1,578th of 1,699 | |
| Tech workers | 0% | 2.7% | 3.6% | 3.8% | 1,378th of 1,704 | |
| Healthcare workers | 0% | 12.4% | 11.5% | 9.7% | 1,625th of 1,704 | |
| Self-employed workers | 0% | 7.7% | 8.2% | 10% | 1,612th of 1,704 | |
| Government workers | 0% | 13.4% | 11.5% | 14.5% | 1,634th of 1,704 | |
| Income inequality (Gini)Strength | 0.302 | 0.436 | 0.474 | 0.483 | 1,561st of 1,697 |
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
- White100%
- Black0%
- Hispanic0%
- Asian0%
- Native American0%
- Pacific Islander0%
- Other0%
- Multiracial0%
Language spoken at home (households)
Households
- Households
- 38
- Average household size
- 2.9
- Family households
- 84.2%
- Married couples
- 84.2%
- Living alone
- 15.8%
- Veterans (of adults)
- 13%
- Male / female
- 46% / 54%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 38
- Owner-occupied
- 100%
- Vacant
- 0%
- Median year built
- 1996
- Median rooms
- 7.3
- Renters paying 30%+ of income
- —
- Renters paying 50%+ of income
- —
- Home value to income
- 2.8× (U.S. 4.1×)
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 | 17858 | U.S. |
|---|---|---|
| Management, business, science and arts | $108,068 | $74,888 |
| Service | — | $26,804 |
| Sales and office | — | $40,476 |
| Construction and maintenance | — | $49,199 |
| Production and transportation | — | $39,989 |
Education, internet and health coverage
Highest education (adults 25+)
- High school graduate or higher
- 95.8%
- Bachelor's degree or higher
- 22.5%
- Graduate or professional degree
- 4.2%
- Households with broadband
- 94.7%
- Cable, fiber or DSL
- 94.7%
- No internet access
- 0%
- Without health insurance
- 0%
- Limited-English households
- 0%
Geography
- City (USPS)
- Numidia
- State
- Pennsylvania
- County
- Columbia County
- Center point
- 40.8424° N, 76.4233° W
- Land area
- 0.3 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 17858
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 17851 | Mount Carmel, PA | 2.7 mi | $53,637 |
| 17888 | Wilburton, PA | 2.8 mi | — |
| 17832 | Marion Heights, PA | 3 mi | $52,569 |
| 17820 | Catawissa, PA | 3.8 mi | $67,685 |
| 17824 | Elysburg, PA | 4 mi | $118,176 |
| 17840 | Locust Gap, PA | 4.7 mi | — |
| 17945 | Locustdale, PA | 4.7 mi | $24,813 |
| 17834 | Kulpmont, PA | 4.9 mi | $56,167 |
| 17920 | Aristes, PA | 5.3 mi | — |
| 17943 | Lavelle, PA | 6 mi | — |
| 17921 | Ashland, PA | 7.1 mi | $71,141 |
| 17936 | Gordon, PA | 7.7 mi | $92,837 |
Questions about 17858
What city is zip code 17858?
17858 is assigned to Numidia, Pennsylvania. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 17858 in?
17858 is in Columbia County, Pennsylvania.
What is the population of 17858?
About 111 people live in 17858, according to the Census Bureau's American Community Survey.
What time zone is 17858 in?
17858 is in Eastern Time.
What is the median household income in 17858?
The median household income in 17858 is $81,250.
What zip codes are near 17858?
The closest zip codes to 17858 are 17851, 17888, 17832, 17820, 17824.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 17858, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.