ZIP Code Distance Calculator
How far apart two places are, the drive, the time difference, and the two compared side by side.
How far apart two places are, the drive, the time difference, and the two compared side by side.
In a straight line between the centers of the two ZIP Codes: 206 miles (331 km).
| Step | Instruction | Distance |
|---|
Census Bureau figures for each ZIP Code (American Community Survey, 2020–2024). Each comes with a margin of error, so a difference is named only when it is bigger than the two margins together.
| Measure | A Miami | B Orlando | Difference |
|---|---|---|---|
| City | Miami, FL | Orlando, FL | |
| County | Miami-Dade County | Orange County | |
| Time zone | Eastern | Eastern | |
| Metro area | Miami-Fort Lauderdale, FL CMSA | Orlando, FL MSA | |
| ZIP Code type | Standard | Standard | |
| Area codes | 305, 645, 786 | 321, 407, 689 | |
| Land area | 0.5 sq mi | 2.2 sq mi | |
| Addresses that get mail | 20,917 | 15,228 | |
| People | 23,095 ±1,811 | 17,046 ±1,467 | Larger in Miami |
| Median age | 35.9 ±1.8 | 35.7 ±1.1 | No clear difference |
| Median household income | $144,138 ±$25,820 | $80,871 ±$6,561 | Higher in Miami |
| Per capita income | $120,707 ±$11,483 | $73,971 ±$10,778 | Higher in Miami |
| Poverty rate | 7.4% ±1.6 | 17.0% ±3.2 | Higher in Orlando |
| Unemployment rate | 3.3% ±1.3 | 3.3% ±1.2 | No clear difference |
| Bachelor's degree or higher | 78.5% ±3.0 | 61.7% ±3.6 | Higher in Miami |
| Homes lived in by owners | 37.0% ±3.5 | 27.4% ±4.2 | Higher in Miami |
| Median home value | $655,100 ±$44,618 | $428,000 ±$39,406 | Higher in Miami |
| Median rent | $3,124 ±$203 | $1,851 ±$88 | Higher in Miami |
| Average commute | 19.1 min ±1.2 | 24.6 min ±2.7 | Longer in Orlando |
| People per household | 1.75 ±0.08 | 1.50 ±0.08 | Larger in Miami |
| Vacant homes | 29.9% ±3.5 | 14.8% ±3.9 | Higher in Miami |
| Households with broadband | 94.1% ±1.2 | 89.9% ±3.6 | Higher in Miami |
Dark bars: Miami. Light bars: Orlando. The thin lines are the margins of error: where they overlap, the two places may not really differ.
Largest age group in both: 20-34 (35% in Miami, 40% in Orlando). The 20-34 group spans 15 years, so it looks bigger.
| Ages | Miami | Orlando |
|---|---|---|
| Under 10 | 8% ±2 | 4% ±1 |
| 10-19 | 5% ±2 | 4% ±2 |
| 20-34 | 35% ±4 | 40% ±5 |
| 35-44 | 22% ±4 | 17% ±3 |
| 45-54 | 12% ±2 | 10% ±2 |
| 55-64 | 11% ±2 | 6% ±2 |
| 65-74 | 4% ±1 | 8% ±2 |
| 75+ | 2% ±1 | 11% ±2 |
37% of occupied homes are owned in Miami, 27% in Orlando.
| Owners and renters | Miami | Orlando |
|---|---|---|
| Owned | 37% ±4 | 27% ±4 |
| Rented | 63% ±4 | 73% ±4 |
Most common in both: 20+ units (96% in Miami, 78% in Orlando).
| Kinds of homes | Miami | Orlando |
|---|---|---|
| Single-family | 2% ±1 | 12% ±3 |
| Townhouse | 1% ±0 | 5% ±2 |
| 2-4 units | <1% ±0 | 2% ±1 |
| 5-19 units | 1% ±1 | 3% ±2 |
| 20+ units | 96% ±2 | 78% ±4 |
| Mobile home | 0% ±0 | 0% ±0 |
| Boat, RV, van | 0% ±0 | 0% ±0 |
Most common in both: Drove alone (40% in Miami, 66% in Orlando).
| Getting to work | Miami | Orlando |
|---|---|---|
| Drove alone | 40% ±5 | 66% ±5 |
| Carpooled | 3% ±1 | 2% ±2 |
| Public transit | 3% ±2 | 1% ±1 |
| Walked | 17% ±3 | 7% ±2 |
| Other | 3% ±1 | 2% ±1 |
| Worked from home | 34% ±4 | 23% ±4 |
± is the Census Bureau's 90% margin of error. "Too uncertain" means one figure's margin is more than half of the figure itself. Census figures are for each ZIP Code's matching ZIP Code Tabulation Area; capped medians read "or more".
Connect Claude or ChatGPT to our ZIP Code data, then ask questions in plain English. No sign-up with us needed.
This question answers in full without a key.
New to this? We'll walk you through it, one step at a time.
Developer tools: Claude Code, Cursor, VS Code, CodexThe distance, the direction and both time zones above came from one call to the ZIP Codes API /v2/distance endpoint. Each place's facts and Census figures came from one /v2/zip call each, and the API has the same figures for any year from 2011 to 2024.
This comparison used 11 credits; a free key includes 2,500 a day.
curl -H "X-Api-Key: YOUR_KEY" "https://api.zip-codes.com/v2/distance?from=25%2E762%2C%2D80%2E192&to=32801"
The real /v2/distance response for this pair. Coordinates are rounded to 3 decimals here; the API returns full precision.
{
"success": true,
"request": {
"from": "25.762,-80.192",
"to": "32801"
},
"results": [
{
"success": true,
"input": {
"from": "25.762,-80.192",
"to": "32801"
},
"from": {
"country": "US",
"code": "33131",
"code_type": "ZIP",
"city": "Miami",
"state": "FL",
"county": "Miami-Dade",
"location": {
"lat": 25.762,
"lon": -80.192
},
"timezone": {
"source": "timezone-boundary-builder",
"product": "Time zone boundaries (with oceans)",
"attribution": "Time zone boundaries \u00a9 OpenStreetMap contributors, timezone-boundary-builder (ODbL); time zone rules: IANA tz database",
"iana_name": "America/New_York",
"name": "Eastern",
"abbreviation": "EST",
"abbreviation_dst": "EDT",
"utc_offset": -5,
"utc_offset_dst": -4,
"observes_dst": true
},
"input_type": "coordinates"
},
"to": {
"country": "US",
"code": "32801",
"code_type": "ZIP",
"city": "Orlando",
"state": "FL",
"county": "Orange",
"location": {
"lat": 28.544,
"lon": -81.375
},
"timezone": {
"source": "timezone-boundary-builder",
"product": "Time zone boundaries (with oceans)",
"attribution": "Time zone boundaries \u00a9 OpenStreetMap contributors, timezone-boundary-builder (ODbL); time zone rules: IANA tz database",
"iana_name": "America/New_York",
"name": "Eastern",
"abbreviation": "EST",
"abbreviation_dst": "EDT",
"utc_offset": -5,
"utc_offset_dst": -4,
"observes_dst": true
},
"input_type": "code"
},
"distance": {
"miles": 205.51,
"km": 330.73
},
"bearing": 339.5
}
],
"meta": {
"credits": {
"used": 1
}
}
}