Zip code 59217: Crane, Montana
Boundary is the Census Bureau's ZIP Code Tabulation Area, which closely tracks the postal delivery area.
About 59217
59217 is a rural zip code in Crane, Montana (Richland County), covering 3.7 sq mi of land. About 171 people live here, or 47 per square mile. The median resident is 16.5 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 $79,242 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 $224,200, 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.
53% of adults hold a bachelor's degree or higher (U.S.: 36%). The most common jobs among working residents are in production and manufacturing; construction and repair; and education.
How 59217 compares
Only about 171 people live here, so these survey estimates have wide margins of error.
- 99thStrengthU.S. 65.2% · MT 69.2%7th of 317 in MT
- Broadband access100%99thStrengthU.S. 91% · MT 89.4%16th of 317 in MT
- Residents under 1857.3%99thU.S. 22% · MT 21%3rd of 318 in MT
- Government workers26.1%96thU.S. 14.5% · MT 16.6%69th of 317 in MT
- 83rdStrengthU.S. 35.7% · MT 35.2%14th of 318 in MT
- Median household income$79,24249thU.S. $80,734 · MT $72,50986th of 295 in MT
- Uninsured rate5.8%41stU.S. 8.4% · MT 8.6%202nd of 318 in MT
- Median home value$224,20027thU.S. $332,700 · MT $375,800198th of 291 in MT
- Per capita income$24,7378thWeaknessU.S. $44,673 · MT $41,711284th of 318 in MT
- Population density47/sq mi7thU.S. 95/sq mi · MT 8/sq mi35th of 318 in MT
- 2ndU.S. 17.2% · MT 20.1%310th of 318 in MT
- Median earnings per worker$26,3752ndWeaknessU.S. $49,666 · MT $43,881296th of 316 in MT
- Population1711stU.S. 334,922,499 · MT 1,116,875279th of 318 in MT
- Median age16.51stU.S. 38.9 · MT 40.4316th of 318 in MT
- 1stStrengthU.S. 12.5% · MT 11.5%311th of 317 in MT
- 1stU.S. 15.1% · MT 12.5%314th of 317 in MT
- 1stStrengthU.S. 5.2% · MT 3.6%298th of 317 in MT
- 1stU.S. 61.4 · MT 29.4314th of 318 in MT
- Veterans0%1stU.S. 6.2% · MT 9%314th of 318 in MT
- 1stU.S. 14.1% · MT 2.3%299th of 318 in MT
- 1stU.S. 10.1% · MT 13.2%310th of 317 in MT
- 1stU.S. 3.8% · MT 2.3%271st of 317 in MT
- 1stU.S. 9.7% · MT 9.9%309th of 317 in MT
- 1stU.S. 10% · MT 15.2%315th of 317 in MT
- 1stStrengthU.S. 0.483 · MT 0.465314th of 316 in MT
| Measure | 59217 | Richland | MT | U.S. | National percentile | Rank in MT |
|---|---|---|---|---|---|---|
| Homeownership rateStrength | 100% | 67.1% | 69.2% | 65.2% | 7th of 317 | |
| Broadband accessStrength | 100% | 85.8% | 89.4% | 91% | 16th of 317 | |
| Residents under 18 | 57.3% | 24.9% | 21% | 22% | 3rd of 318 | |
| Government workers | 26.1% | 13.3% | 16.6% | 14.5% | 69th of 317 | |
| Bachelor's degree or higherStrength | 53.4% | 22% | 35.2% | 35.7% | 14th of 318 | |
| Median household income | $79,242 | $73,084 | $72,509 | $80,734 | 86th of 295 | |
| Uninsured rate | 5.8% | 4.7% | 8.6% | 8.4% | 202nd of 318 | |
| Median home value | $224,200 | $263,000 | $375,800 | $332,700 | 198th of 291 | |
| Per capita incomeWeakness | $24,737 | $41,554 | $41,711 | $44,673 | 284th of 318 | |
| Population density | 47/sq mi | 5/sq mi | 8/sq mi | 95/sq mi | 35th of 318 | |
| Residents 65 and older | 7% | 17.5% | 20.1% | 17.2% | 310th of 318 | |
| Median earnings per workerWeakness | $26,375 | $43,490 | $43,881 | $49,666 | 296th of 316 | |
| Population | 171 | 11,235 | 1,116,875 | 334,922,499 | 279th of 318 | |
| Median age | 16.5 | 38.4 | 40.4 | 38.9 | 316th of 318 | |
| Poverty rateStrength | 0% | 6.6% | 11.5% | 12.5% | 311th of 317 | |
| Work from home | 0% | 5.4% | 12.5% | 15.1% | 314th of 317 | |
| Unemployment rateStrength | 0% | 3.3% | 3.6% | 5.2% | 298th of 317 | |
| Diversity index | 0 | 22.9 | 29.4 | 61.4 | 314th of 318 | |
| Veterans | 0% | 5.7% | 9% | 6.2% | 314th of 318 | |
| Foreign-born residents | 0% | 3.1% | 2.3% | 14.1% | 299th of 318 | |
| Housing vacancy | 0% | 21.2% | 13.2% | 10.1% | 310th of 317 | |
| Tech workers | 0% | 1.7% | 2.3% | 3.8% | 271st of 317 | |
| Healthcare workers | 0% | 3.7% | 9.9% | 9.7% | 309th of 317 | |
| Self-employed workers | 0% | 17.1% | 15.2% | 10% | 315th of 317 | |
| Income inequality (Gini)Strength | 0.104 | 0.467 | 0.465 | 0.483 | 314th of 316 |
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
- 46
- Average household size
- 3.7
- Family households
- 100%
- Married couples
- 28.3%
- Living alone
- 0%
- Veterans (of adults)
- 0%
- Male / female
- 52% / 48%
Income and poverty
Household income distribution
Median household income
Housing
Median home value
Median gross rent
Types of housing
- Housing units
- 46
- Owner-occupied
- 100%
- Vacant
- 0%
- Median year built
- 1985
- Median rooms
- 9 or more
- 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 | 59217 | U.S. |
|---|---|---|
| Management, business, science and arts | — | $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
- 100%
- Bachelor's degree or higher
- 53.4%
- Graduate or professional degree
- 0%
- Households with broadband
- 100%
- Cable, fiber or DSL
- 100%
- No internet access
- 0%
- Without health insurance
- 5.8%
- Limited-English households
- 0%
Geography
- City (USPS)
- Crane
- State
- Montana
- County
- Richland County
- Center point
- 47.5794° N, 104.2387° W
- Land area
- 3.7 sq mi
- Water area
- under 0.1 sq mi
- Time zone
- Mountain Time (UTC-7, UTC-6 in summer)
- Zip type
- Residential delivery area
Cities and towns within this zip
- Crane (unincorporated)62% of zip
Census places overlapping the zip's area. Mail may use a different city name than the municipality.
Zip codes near 59217
| Zip | City | Distance | IncomeMedian income |
|---|---|---|---|
| 59270 | Sidney, MT | 7.4 mi | $72,630 |
| 59262 | Savage, MT | 14 mi | $76,000 |
| 58838 | Cartwright, ND | 21 mi | $59,392 |
| 59221 | Fairview, MT | 22 mi | $77,115 |
| 59243 | Lambert, MT | 24 mi | $83,500 |
| 59315 | Bloomfield, MT | 31 mi | $68,750 |
| 58831 | Alexander, ND | 33 mi | $98,380 |
| 58621 | Beach, ND | 35 mi | $67,000 |
| 59218 | Culbertson, MT | 36 mi | $98,833 |
| 59330 | Glendive, MT | 40 mi | $70,964 |
| 58853 | Trenton, ND | 41 mi | $107,969 |
| 59212 | Bainville, MT | 45 mi | $94,444 |
Questions about 59217
What city is zip code 59217?
59217 is assigned to Crane, Montana. The city name is the one the Postal Service prefers for mail addressed to this zip code.
What county is 59217 in?
59217 is in Richland County, Montana.
What is the population of 59217?
About 171 people live in 59217, according to the Census Bureau's American Community Survey.
What time zone is 59217 in?
59217 is in Mountain Time.
What is the median household income in 59217?
The median household income in 59217 is $79,242.
What zip codes are near 59217?
The closest zip codes to 59217 are 59270, 59262, 58838, 59221, 59243.
Demographic figures are 2020–2024 American Community Survey 5-year estimates for ZIP Code Tabulation Area 59217, from the U.S. Census Bureau. Small areas have wide margins of error. How we build these numbers.