SOURCES, DISCLOSURES & REGULATORY
The detail behind
the opportunity.
Sources, definitions, company status and model assumptions in one place. Numbered references across the website link directly to the relevant section below.
[1] Company facts and development stage
Cyber Vehicle Operations LLC is a Pennsylvania LLC operating under the CYVO brand. Stephen Kovach is CEO and Rob Nagy is COO; each holds a 50% ownership interest. Company facts, leadership information and plans are supplied by the owners. CYVO is developing a proposed electric taxi business. The website does not represent an operating fleet, paying riders, revenue, a confirmed launch date or granted operating approvals. The roadmap shows evaluation markets unless a location is expressly marked otherwise.
CYVO is in development. Rides are not currently available. Vehicle acquisitions, operating locations and launch dates remain subject to commercial agreements, vehicle availability and regulatory approvals.
[2] Vehicle acquisition and manufacturer independence
CYVO intends to evaluate Tesla Cybercab and other suitable vehicles. Vehicle availability, delivery timing, prices, commercial-use rights, insurance and network or dispatch access must be confirmed in separate agreements. CYVO has not represented a confirmed purchase allocation or delivery. CYVO is independent of Tesla, Waymo, Uber and other referenced businesses; references do not imply endorsement, affiliation or authorized dealer status. Third-party names belong to their owners.
[3] Concept imagery and leadership portraits
The vehicle and fictional-city artwork is AI-generated. It is a design concept, not a production specification, a purchased CYVO vehicle or an operating location. Placeholder leadership portraits are illustrative silhouettes, not photographs of the executives. A real authorized portrait can be supplied by each owner.
[4] Regulatory and operating considerations
City markers identify locations for commercial evaluation. They do not indicate CYVO offices, service boundaries, operating permits or committed launches. Commercial operations depend on applicable federal, state and local requirements, passenger-service licensing, vehicle capability, insurance and suitable manufacturer terms. Requirements must be evaluated for each jurisdiction and operating model. This page is not a jurisdiction-specific legal opinion.
Safety performance, geofencing, weather, charging, maintenance, labor, customer support, competition, pricing, financing and platform fees can materially change viability. A technically capable vehicle does not by itself establish the right to operate a taxi business.
[5] Private financing and indications of interest
CYVO is a privately owned LLC. This website supports information requests and, when enabled, nonbinding indications of interest. It does not accept payments, securities subscriptions or binding investment commitments. Any future investment would require appropriate documentation and an applicable lawful offering pathway. A website disclaimer alone does not establish an exemption.
Nonbinding interest only. No money or other consideration is being solicited, and anything sent will not be accepted. No sale or commitment to purchase securities can be accepted until an appropriate offering pathway is established and applicable requirements are met. An indication of interest creates no obligation or commitment of any kind.
There are no investment terms, guaranteed returns or reserved allocations on this website. You may lose your entire investment in any future offering. This form does not establish investor eligibility.
Early-stage private investment can involve complete loss, illiquidity, dilution, conflicts of interest and uncertain distributions. No valuation, return, allocation or future financing is promised. Expressions of interest do not establish eligibility.
[6] City data and opportunity assessment
The profiles use the U.S. Census Bureau’s 2024 American Community Survey (ACS) 1-year Detailed Tables, downloaded October 24, 2026 from the official table-based Summary File. The same vintage and geography type are used across profiles. These are Census places, not metropolitan areas: Honolulu uses Urban Honolulu CDP; Indianapolis, Nashville and Louisville use their Census “balance” geographies. Adjacent city markers may share a regional travel economy and should not be treated as independent metro markets.
Population (B01003) describes resident scale. Median household income (B19013, in 2024 dollars) provides fare-testing context. Household counts and no-vehicle households (B08201) describe vehicle access. Transportation-to-work counts (B08301) describe the usual commuting mode of resident workers aged 16 and over, including those working at home in the denominator. Commuting shares do not measure all trips, taxi demand or visitor travel.
The opportunity text is CYVO’s screening interpretation of these indicators, not a Census forecast. Population, income, transit use and vehicle access do not establish willingness to pay or adoption. The scenario treats adoption as a separate, adjustable assumption rather than mechanically converting income or commuting into customers.
A decision-grade forecast would additionally need origin/destination demand by time of day; tourism, airport and employment-center flows; local fares and competitor capacity; trip lengths and empty miles; service-area permissions and vehicle capability; charging and fleet-staging capacity; insurance, energy, maintenance, financing and overhead quotes; customer acquisition and retention; and pilot utilization. Those inputs are not yet measured by this website. No airport or tourism volume is silently added to the resident household model.
ACS estimates have sampling and nonsampling error. Individual source sections show available 90% margins of error (MOE). Shares are calculated from point estimates; ratio MOEs are not calculated. A missing MOE indicates the published value is controlled or not applicable, not zero uncertainty. Small differences should not be read as meaningful rankings. Data is a bundled dated snapshot, not a live feed.
Census 2024 ACS Summary File and documentation ↗ · ACS data-user guidance ↗
[7] Household ride-spend scenarios
The city calculator explores annual gross passenger fares for a scenario-defined household pool. Let H = total households, N = households with no available vehicle, A = assumed adoption among no-vehicle households, B = assumed adoption among other households, R = paid rides per participating household per month and F = average fare. Participating households = N × A + (H − N) × B. Annual rides = participating households × R × 12. Annual gross fares = annual rides × F.
Initial assumptions are 5% adoption for no-vehicle households, 1% for other households, 6 monthly rides per participating household and a $18 fare. These are editable scenario inputs chosen for exploration, not survey-derived adoption estimates, observed demand, market share predictions or a valuation. Household segments are mutually exclusive. All household members’ rides must fit within the selected household ride frequency.
Outputs are potential gross ride spending under those assumptions, not CYVO revenue, profit or an investment return. They are not limited by fleet capacity, competition, geographic coverage or launch timing. A lower-adoption sensitivity uses half the two selected adoption rates; an upper sensitivity doubles them, capped at 100%. This range is an arithmetic sensitivity, not a statistical confidence interval or a forecast range. The separate fleet calculator models capacity and selected costs. A business forecast must reconcile the two and include all costs.
[8] Fleet economics and exclusions
Fleet = cities × vehicles per city. Annual gross passenger fares = fleet × paid rides per vehicle per operating day × average fare × operating days. After-fee receipts = gross fares × (1 − platform fee percentage). Illustrative operating cash contribution = after-fee receipts − fleet × operating days × daily cash costs.
Cash contribution is not net profit or an investment return. It excludes vehicle acquisition, depreciation, financing, taxes, central overhead and other unmodeled costs. Daily cash costs are an aggregate input for items such as energy, insurance, cleaning, maintenance and local support. Operating days and paid rides must account for charging and downtime. No Tesla fee, utilization, fare or operating cost has been confirmed. Gross fares may differ from accounting revenue depending on commercial arrangements. All inputs are illustrative and editable.
[9] Map geography
The map uses U.S. Census Bureau 2024 1:20-million cartographic state boundaries, rendered with the D3 Albers USA projection. Alaska is reduced in scale; Alaska and Hawaii are inset. Markers locate approximate city centers and do not define service areas. The map and profile data are served locally by the website.
Census cartographic boundary files ↗ · Albers USA projection documentation ↗
[10] Waymo trips during 2025 through its December update
14M+ — Waymo reported over 14 million trips through its December 2025 update, with public rides more than tripling year over year.
Waymo · December 10, 2025 ↗ · Source date: 2025-12-10.
Waymo’s figure is trips through the December 10, 2025 update, not the full calendar year. Public rides more than tripled from the prior year. It is an operator-reported benchmark, not an industry total or CYVO performance.
[11] Uber Mobility gross bookings growth, year over year
22% — Uber’s global Mobility business generated approximately $29.0 billion in gross bookings in Q2 2026, a 22% increase from the same quarter in 2025.
Uber investor relations · August 5, 2026 ↗ · Source date: 2026-08-05.
Uber’s figure is global Mobility gross bookings in Q2 2026: $28.988 billion, up 22% as reported (20% in constant currency). Gross bookings is ride value, not company revenue; this is neither U.S.-only nor autonomous-only activity.
[12] U.S. cities with at least 100,000 residents in 2024
342 — The Census Bureau identified 342 incorporated places with at least 100,000 residents in its 2024 population estimates: a broad landscape for city-by-city expansion.
U.S. Census Bureau · May 15, 2025 ↗ · Source date: 2025-05-15.
The Census count refers to incorporated places with at least 100,000 residents in the 2024 population estimates. It is a different product from ACS survey profiles. City boundaries do not equal metro areas or an addressable taxi market.
City source records
Open a city for exact Census geography, estimates, margins of error and source tables. Dollar estimates are in 2024 dollars. All counts describe residents or households, rather than visitor demand.
[100] New York city, New York
2024 ACS 1-year · Census geography 1600000US3651000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 8,478,072 | Not applicable |
| Median household income ($) | 81,228 | 908 |
| Households | 3,379,651 | 15,364 |
| No-vehicle households | 1,915,214 | 23,042 |
| Workers 16+ | 4,070,607 | 20,036 |
| Public-transit commuters | 1,981,663 | 23,605 |
| Walking commuters | 389,200 | 13,121 |
| Working at home | 509,852 | 12,449 |
No-vehicle share: 56.7% of households. Public-transit share: 48.7% of workers. Walking: 9.6% of workers.
[101] Los Angeles city, California
2024 ACS 1-year · Census geography 1600000US0644000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 3,878,718 | 69 |
| Median household income ($) | 82,263 | 1,125 |
| Households | 1,480,869 | 9,988 |
| No-vehicle households | 178,146 | 7,370 |
| Workers 16+ | 1,987,728 | 17,280 |
| Public-transit commuters | 122,542 | 7,534 |
| Walking commuters | 72,039 | 5,230 |
| Working at home | 318,737 | 10,239 |
No-vehicle share: 12% of households. Public-transit share: 6.2% of workers. Walking: 3.6% of workers.
[102] Chicago city, Illinois
2024 ACS 1-year · Census geography 1600000US1714000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 2,721,326 | 60 |
| Median household income ($) | 80,613 | 1,364 |
| Households | 1,172,455 | 9,440 |
| No-vehicle households | 321,432 | 10,192 |
| Workers 16+ | 1,430,663 | 21,052 |
| Public-transit commuters | 293,874 | 11,635 |
| Walking commuters | 102,022 | 7,871 |
| Working at home | 251,656 | 12,845 |
No-vehicle share: 27.4% of households. Public-transit share: 20.5% of workers. Walking: 7.1% of workers.
[103] Houston city, Texas
2024 ACS 1-year · Census geography 1600000US4835000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 2,387,910 | 2,025 |
| Median household income ($) | 64,361 | 1,735 |
| Households | 943,336 | 9,915 |
| No-vehicle households | 102,278 | 7,054 |
| Workers 16+ | 1,152,431 | 17,793 |
| Public-transit commuters | 38,913 | 4,663 |
| Walking commuters | 26,482 | 3,876 |
| Working at home | 125,576 | 6,589 |
No-vehicle share: 10.8% of households. Public-transit share: 3.4% of workers. Walking: 2.3% of workers.
[104] Phoenix city, Arizona
2024 ACS 1-year · Census geography 1600000US0455000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 1,673,122 | 151 |
| Median household income ($) | 85,246 | 2,218 |
| Households | 631,270 | 8,668 |
| No-vehicle households | 46,819 | 4,597 |
| Workers 16+ | 877,083 | 13,823 |
| Public-transit commuters | 18,270 | 3,935 |
| Walking commuters | 12,357 | 3,460 |
| Working at home | 147,552 | 8,280 |
No-vehicle share: 7.4% of households. Public-transit share: 2.1% of workers. Walking: 1.4% of workers.
[105] Philadelphia city, Pennsylvania
2024 ACS 1-year · Census geography 1600000US4260000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 1,573,916 | Not applicable |
| Median household income ($) | 60,521 | 1,851 |
| Households | 702,646 | 5,320 |
| No-vehicle households | 196,339 | 9,712 |
| Workers 16+ | 762,230 | 13,514 |
| Public-transit commuters | 153,150 | 9,566 |
| Walking commuters | 54,621 | 4,806 |
| Working at home | 109,484 | 7,780 |
No-vehicle share: 27.9% of households. Public-transit share: 20.1% of workers. Walking: 7.2% of workers.
[106] San Antonio city, Texas
2024 ACS 1-year · Census geography 1600000US4865000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 1,526,621 | 96 |
| Median household income ($) | 66,176 | 1,375 |
| Households | 568,979 | 7,359 |
| No-vehicle households | 49,419 | 4,191 |
| Workers 16+ | 742,336 | 12,273 |
| Public-transit commuters | 17,867 | 3,831 |
| Walking commuters | 16,938 | 3,433 |
| Working at home | 82,573 | 6,674 |
No-vehicle share: 8.7% of households. Public-transit share: 2.4% of workers. Walking: 2.3% of workers.
[107] San Diego city, California
2024 ACS 1-year · Census geography 1600000US0666000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 1,404,461 | 82 |
| Median household income ($) | 111,032 | 2,696 |
| Households | 542,590 | 6,726 |
| No-vehicle households | 38,114 | 4,291 |
| Workers 16+ | 751,867 | 12,087 |
| Public-transit commuters | 19,409 | 3,180 |
| Walking commuters | 28,327 | 3,328 |
| Working at home | 135,017 | 6,433 |
No-vehicle share: 7% of households. Public-transit share: 2.6% of workers. Walking: 3.8% of workers.
[108] Dallas city, Texas
2024 ACS 1-year · Census geography 1600000US4819000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 1,326,093 | 76 |
| Median household income ($) | 74,323 | 2,841 |
| Households | 537,317 | 9,138 |
| No-vehicle households | 50,771 | 5,411 |
| Workers 16+ | 693,351 | 14,298 |
| Public-transit commuters | 14,058 | 3,056 |
| Walking commuters | 16,716 | 3,228 |
| Working at home | 93,946 | 7,089 |
No-vehicle share: 9.4% of households. Public-transit share: 2% of workers. Walking: 2.4% of workers.
[109] San Jose city, California
2024 ACS 1-year · Census geography 1600000US0668000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 997,395 | 145 |
| Median household income ($) | 148,226 | 6,193 |
| Households | 331,653 | 4,603 |
| No-vehicle households | 20,595 | 2,592 |
| Workers 16+ | 511,080 | 9,073 |
| Public-transit commuters | 15,024 | 2,977 |
| Walking commuters | 10,104 | 2,166 |
| Working at home | 65,423 | 5,283 |
No-vehicle share: 6.2% of households. Public-transit share: 2.9% of workers. Walking: 2% of workers.
[110] Austin city, Texas
2024 ACS 1-year · Census geography 1600000US4805000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 993,771 | 945 |
| Median household income ($) | 90,430 | 2,569 |
| Households | 484,550 | 8,058 |
| No-vehicle households | 35,915 | 5,208 |
| Workers 16+ | 598,399 | 10,748 |
| Public-transit commuters | 17,697 | 4,663 |
| Walking commuters | 19,302 | 3,625 |
| Working at home | 148,176 | 8,412 |
No-vehicle share: 7.4% of households. Public-transit share: 3% of workers. Walking: 3.2% of workers.
[111] Jacksonville city, Florida
2024 ACS 1-year · Census geography 1600000US1235000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 1,009,831 | 22 |
| Median household income ($) | 72,389 | 2,436 |
| Households | 413,620 | 4,742 |
| No-vehicle households | 35,969 | 4,606 |
| Workers 16+ | 513,150 | 8,198 |
| Public-transit commuters | 4,090 | 1,758 |
| Walking commuters | 8,353 | 1,956 |
| Working at home | 76,748 | 6,312 |
No-vehicle share: 8.7% of households. Public-transit share: 0.8% of workers. Walking: 1.6% of workers.
[112] Fort Worth city, Texas
2024 ACS 1-year · Census geography 1600000US4827000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 1,014,376 | 6,611 |
| Median household income ($) | 82,503 | 2,414 |
| Households | 362,403 | 7,055 |
| No-vehicle households | 24,808 | 3,254 |
| Workers 16+ | 502,371 | 11,370 |
| Public-transit commuters | 3,647 | 1,520 |
| Walking commuters | 5,245 | 1,365 |
| Working at home | 52,871 | 4,736 |
No-vehicle share: 6.8% of households. Public-transit share: 0.7% of workers. Walking: 1% of workers.
[113] Columbus city, Ohio
2024 ACS 1-year · Census geography 1600000US3918000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 931,551 | 3,936 |
| Median household income ($) | 67,084 | 2,199 |
| Households | 396,650 | 6,126 |
| No-vehicle households | 34,965 | 3,086 |
| Workers 16+ | 487,910 | 9,089 |
| Public-transit commuters | 9,394 | 2,202 |
| Walking commuters | 13,043 | 2,425 |
| Working at home | 79,600 | 5,835 |
No-vehicle share: 8.8% of households. Public-transit share: 1.9% of workers. Walking: 2.7% of workers.
[114] Charlotte city, North Carolina
2024 ACS 1-year · Census geography 1600000US3712000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 943,474 | 59 |
| Median household income ($) | 86,416 | 2,366 |
| Households | 381,274 | 5,009 |
| No-vehicle households | 27,414 | 2,955 |
| Workers 16+ | 521,849 | 9,176 |
| Public-transit commuters | 11,832 | 2,420 |
| Walking commuters | 10,618 | 1,818 |
| Working at home | 130,426 | 7,547 |
No-vehicle share: 7.2% of households. Public-transit share: 2.3% of workers. Walking: 2% of workers.
[115] Indianapolis city (balance), Indiana
2024 ACS 1-year · Census geography 1600000US1836003.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 890,315 | 6,484 |
| Median household income ($) | 66,900 | 2,061 |
| Households | 370,768 | 5,268 |
| No-vehicle households | 32,991 | 5,012 |
| Workers 16+ | 458,357 | 8,254 |
| Public-transit commuters | 5,393 | 1,856 |
| Walking commuters | 10,128 | 2,164 |
| Working at home | 54,812 | 5,824 |
No-vehicle share: 8.9% of households. Public-transit share: 1.2% of workers. Walking: 2.2% of workers.
[116] San Francisco city, California
2024 ACS 1-year · Census geography 1600000US0667000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 827,526 | Not applicable |
| Median household income ($) | 139,801 | 6,180 |
| Households | 371,841 | 4,793 |
| No-vehicle households | 122,680 | 4,669 |
| Workers 16+ | 468,430 | 7,060 |
| Public-transit commuters | 117,279 | 6,864 |
| Walking commuters | 46,917 | 4,689 |
| Working at home | 100,347 | 5,261 |
No-vehicle share: 33% of households. Public-transit share: 25% of workers. Walking: 10% of workers.
[117] Seattle city, Washington
2024 ACS 1-year · Census geography 1600000US5363000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 780,992 | 54 |
| Median household income ($) | 118,745 | 5,861 |
| Households | 383,698 | 5,364 |
| No-vehicle households | 75,811 | 5,122 |
| Workers 16+ | 476,426 | 9,123 |
| Public-transit commuters | 71,683 | 5,122 |
| Walking commuters | 50,984 | 4,830 |
| Working at home | 116,087 | 6,912 |
No-vehicle share: 19.8% of households. Public-transit share: 15% of workers. Walking: 10.7% of workers.
[118] Denver city, Colorado
2024 ACS 1-year · Census geography 1600000US0820000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 729,019 | Not applicable |
| Median household income ($) | 92,504 | 3,897 |
| Households | 349,785 | 3,874 |
| No-vehicle households | 37,150 | 4,138 |
| Workers 16+ | 426,844 | 5,700 |
| Public-transit commuters | 14,843 | 2,500 |
| Walking commuters | 17,642 | 3,091 |
| Working at home | 105,633 | 5,876 |
No-vehicle share: 10.6% of households. Public-transit share: 3.5% of workers. Walking: 4.1% of workers.
[119] Washington city, District of Columbia
2024 ACS 1-year · Census geography 1600000US1150000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 702,250 | Not applicable |
| Median household income ($) | 109,707 | 4,149 |
| Households | 329,687 | 4,510 |
| No-vehicle households | 120,469 | 6,178 |
| Workers 16+ | 388,136 | 6,178 |
| Public-transit commuters | 103,317 | 6,796 |
| Walking commuters | 41,417 | 4,817 |
| Working at home | 88,726 | 4,752 |
No-vehicle share: 36.5% of households. Public-transit share: 26.6% of workers. Walking: 10.7% of workers.
[120] Boston city, Massachusetts
2024 ACS 1-year · Census geography 1600000US2507000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 673,822 | 3,086 |
| Median household income ($) | 97,791 | 5,438 |
| Households | 294,977 | 3,333 |
| No-vehicle households | 100,402 | 5,267 |
| Workers 16+ | 378,248 | 7,465 |
| Public-transit commuters | 95,880 | 6,523 |
| Walking commuters | 55,134 | 4,987 |
| Working at home | 58,574 | 4,464 |
No-vehicle share: 34% of households. Public-transit share: 25.3% of workers. Walking: 14.6% of workers.
[121] Nashville-Davidson metropolitan government (balance), Tennessee
2024 ACS 1-year · Census geography 1600000US4752006.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 704,965 | 24 |
| Median household income ($) | 80,090 | 2,958 |
| Households | 331,090 | 4,462 |
| No-vehicle households | 23,778 | 3,590 |
| Workers 16+ | 405,721 | 6,428 |
| Public-transit commuters | 6,673 | 2,049 |
| Walking commuters | 8,012 | 1,804 |
| Working at home | 72,909 | 5,734 |
No-vehicle share: 7.2% of households. Public-transit share: 1.6% of workers. Walking: 2% of workers.
[122] Oklahoma City city, Oklahoma
2024 ACS 1-year · Census geography 1600000US4055000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 713,014 | 298 |
| Median household income ($) | 70,040 | 2,362 |
| Households | 290,311 | 3,962 |
| No-vehicle households | 19,223 | 2,573 |
| Workers 16+ | 357,046 | 7,388 |
| Public-transit commuters | 1,172 | 531 |
| Walking commuters | 4,501 | 1,251 |
| Working at home | 36,150 | 3,311 |
No-vehicle share: 6.6% of households. Public-transit share: 0.3% of workers. Walking: 1.3% of workers.
[123] El Paso city, Texas
2024 ACS 1-year · Census geography 1600000US4824000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 681,724 | 47 |
| Median household income ($) | 59,932 | 2,820 |
| Households | 246,570 | 3,658 |
| No-vehicle households | 18,526 | 2,705 |
| Workers 16+ | 318,270 | 6,553 |
| Public-transit commuters | 3,002 | 1,078 |
| Walking commuters | 4,226 | 1,262 |
| Working at home | 23,633 | 3,035 |
No-vehicle share: 7.5% of households. Public-transit share: 0.9% of workers. Walking: 1.3% of workers.
[124] Portland city, Oregon
2024 ACS 1-year · Census geography 1600000US4159000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 636,958 | 1,441 |
| Median household income ($) | 91,478 | 1,981 |
| Households | 294,419 | 3,813 |
| No-vehicle households | 40,570 | 3,553 |
| Workers 16+ | 363,501 | 5,381 |
| Public-transit commuters | 25,629 | 3,540 |
| Walking commuters | 15,451 | 2,567 |
| Working at home | 89,364 | 4,876 |
No-vehicle share: 13.8% of households. Public-transit share: 7.1% of workers. Walking: 4.3% of workers.
[125] Las Vegas city, Nevada
2024 ACS 1-year · Census geography 1600000US3240000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 678,924 | 71 |
| Median household income ($) | 78,556 | 3,539 |
| Households | 253,523 | 4,746 |
| No-vehicle households | 22,444 | 2,843 |
| Workers 16+ | 323,293 | 7,234 |
| Public-transit commuters | 8,251 | 2,228 |
| Walking commuters | 3,423 | 1,443 |
| Working at home | 39,360 | 4,317 |
No-vehicle share: 8.9% of households. Public-transit share: 2.6% of workers. Walking: 1.1% of workers.
[126] Detroit city, Michigan
2024 ACS 1-year · Census geography 1600000US2622000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 645,702 | 43 |
| Median household income ($) | 39,209 | 2,683 |
| Households | 268,048 | 4,923 |
| No-vehicle households | 52,030 | 4,041 |
| Workers 16+ | 242,743 | 6,751 |
| Public-transit commuters | 9,539 | 2,452 |
| Walking commuters | 6,227 | 1,443 |
| Working at home | 23,818 | 3,418 |
No-vehicle share: 19.4% of households. Public-transit share: 3.9% of workers. Walking: 2.6% of workers.
[127] Memphis city, Tennessee
2024 ACS 1-year · Census geography 1600000US4748000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 610,936 | 64 |
| Median household income ($) | 52,679 | 2,423 |
| Households | 250,830 | 4,397 |
| No-vehicle households | 27,480 | 3,189 |
| Workers 16+ | 271,695 | 7,607 |
| Public-transit commuters | 1,499 | 890 |
| Walking commuters | 5,513 | 1,499 |
| Working at home | 22,881 | 3,327 |
No-vehicle share: 11% of households. Public-transit share: 0.6% of workers. Walking: 2% of workers.
[128] Louisville/Jefferson County metro government (balance), Kentucky
2024 ACS 1-year · Census geography 1600000US2148006.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 640,793 | 48 |
| Median household income ($) | 67,251 | 3,208 |
| Households | 269,328 | 3,297 |
| No-vehicle households | 27,485 | 3,676 |
| Workers 16+ | 311,529 | 6,378 |
| Public-transit commuters | 3,947 | 1,387 |
| Walking commuters | 5,308 | 1,343 |
| Working at home | 38,134 | 3,824 |
No-vehicle share: 10.2% of households. Public-transit share: 1.3% of workers. Walking: 1.7% of workers.
[129] Baltimore city, Maryland
2024 ACS 1-year · Census geography 1600000US2404000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 568,271 | Not applicable |
| Median household income ($) | 64,778 | 3,447 |
| Households | 265,998 | 3,452 |
| No-vehicle households | 74,075 | 4,505 |
| Workers 16+ | 283,337 | 6,170 |
| Public-transit commuters | 27,465 | 4,283 |
| Walking commuters | 16,130 | 2,392 |
| Working at home | 39,632 | 3,629 |
No-vehicle share: 27.8% of households. Public-transit share: 9.7% of workers. Walking: 5.7% of workers.
[130] Milwaukee city, Wisconsin
2024 ACS 1-year · Census geography 1600000US5553000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 563,512 | 72 |
| Median household income ($) | 56,792 | 2,550 |
| Households | 235,240 | 4,635 |
| No-vehicle households | 40,566 | 4,157 |
| Workers 16+ | 264,985 | 6,214 |
| Public-transit commuters | 14,312 | 2,033 |
| Walking commuters | 13,066 | 2,594 |
| Working at home | 28,762 | 3,389 |
No-vehicle share: 17.2% of households. Public-transit share: 5.4% of workers. Walking: 4.9% of workers.
[131] Albuquerque city, New Mexico
2024 ACS 1-year · Census geography 1600000US3502000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 560,333 | 51 |
| Median household income ($) | 71,494 | 2,759 |
| Households | 243,739 | 3,040 |
| No-vehicle households | 12,669 | 2,152 |
| Workers 16+ | 273,610 | 5,834 |
| Public-transit commuters | 1,307 | 579 |
| Walking commuters | 5,699 | 1,649 |
| Working at home | 36,665 | 4,184 |
No-vehicle share: 5.2% of households. Public-transit share: 0.5% of workers. Walking: 2.1% of workers.
[132] Tucson city, Arizona
2024 ACS 1-year · Census geography 1600000US0477000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 554,011 | 53 |
| Median household income ($) | 60,483 | 2,076 |
| Households | 233,314 | 4,795 |
| No-vehicle households | 22,913 | 3,333 |
| Workers 16+ | 271,727 | 6,177 |
| Public-transit commuters | 6,904 | 1,790 |
| Walking commuters | 8,170 | 2,192 |
| Working at home | 33,619 | 3,591 |
No-vehicle share: 9.8% of households. Public-transit share: 2.5% of workers. Walking: 3% of workers.
[133] Fresno city, California
2024 ACS 1-year · Census geography 1600000US0627000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 550,091 | 72 |
| Median household income ($) | 74,491 | 4,065 |
| Households | 181,398 | 3,497 |
| No-vehicle households | 16,540 | 2,015 |
| Workers 16+ | 240,387 | 5,927 |
| Public-transit commuters | 3,521 | 1,143 |
| Walking commuters | 3,201 | 1,302 |
| Working at home | 21,405 | 2,921 |
No-vehicle share: 9.1% of households. Public-transit share: 1.5% of workers. Walking: 1.3% of workers.
[134] Sacramento city, California
2024 ACS 1-year · Census geography 1600000US0664000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 535,787 | 75 |
| Median household income ($) | 91,387 | 3,799 |
| Households | 198,965 | 5,283 |
| No-vehicle households | 17,908 | 2,325 |
| Workers 16+ | 259,107 | 6,141 |
| Public-transit commuters | 5,780 | 1,709 |
| Walking commuters | 5,640 | 1,468 |
| Working at home | 41,939 | 3,782 |
No-vehicle share: 9% of households. Public-transit share: 2.2% of workers. Walking: 2.2% of workers.
[135] Atlanta city, Georgia
2024 ACS 1-year · Census geography 1600000US1304000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 520,066 | 55 |
| Median household income ($) | 88,165 | 4,451 |
| Households | 244,482 | 5,448 |
| No-vehicle households | 36,517 | 3,847 |
| Workers 16+ | 289,601 | 7,300 |
| Public-transit commuters | 16,646 | 3,255 |
| Walking commuters | 13,858 | 2,637 |
| Working at home | 74,207 | 5,521 |
No-vehicle share: 14.9% of households. Public-transit share: 5.7% of workers. Walking: 4.8% of workers.
[136] Kansas City city, Missouri
2024 ACS 1-year · Census geography 1600000US2938000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 516,045 | 88 |
| Median household income ($) | 69,958 | 3,137 |
| Households | 222,248 | 4,314 |
| No-vehicle households | 21,409 | 3,167 |
| Workers 16+ | 273,307 | 6,824 |
| Public-transit commuters | 5,419 | 1,295 |
| Walking commuters | 7,355 | 2,185 |
| Working at home | 41,944 | 4,166 |
No-vehicle share: 9.6% of households. Public-transit share: 2% of workers. Walking: 2.7% of workers.
[137] Miami city, Florida
2024 ACS 1-year · Census geography 1600000US1245000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 487,006 | 67 |
| Median household income ($) | 66,337 | 3,795 |
| Households | 202,757 | 5,197 |
| No-vehicle households | 37,765 | 3,905 |
| Workers 16+ | 265,512 | 7,798 |
| Public-transit commuters | 20,372 | 3,148 |
| Walking commuters | 10,755 | 1,997 |
| Working at home | 41,627 | 4,947 |
No-vehicle share: 18.6% of households. Public-transit share: 7.7% of workers. Walking: 4.1% of workers.
[138] Raleigh city, North Carolina
2024 ACS 1-year · Census geography 1600000US3755000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 499,637 | 651 |
| Median household income ($) | 85,060 | 7,119 |
| Households | 219,004 | 4,451 |
| No-vehicle households | 14,371 | 2,598 |
| Workers 16+ | 281,989 | 7,118 |
| Public-transit commuters | 4,776 | 1,939 |
| Walking commuters | 3,802 | 1,294 |
| Working at home | 61,431 | 5,343 |
No-vehicle share: 6.6% of households. Public-transit share: 1.7% of workers. Walking: 1.3% of workers.
[139] Omaha city, Nebraska
2024 ACS 1-year · Census geography 1600000US3137000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 489,263 | 35 |
| Median household income ($) | 71,640 | 2,145 |
| Households | 202,635 | 2,818 |
| No-vehicle households | 16,225 | 2,566 |
| Workers 16+ | 250,525 | 4,934 |
| Public-transit commuters | 2,124 | 824 |
| Walking commuters | 5,985 | 1,443 |
| Working at home | 30,830 | 3,116 |
No-vehicle share: 8% of households. Public-transit share: 0.8% of workers. Walking: 2.4% of workers.
[140] Minneapolis city, Minnesota
2024 ACS 1-year · Census geography 1600000US2743000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 428,572 | 46 |
| Median household income ($) | 77,732 | 4,594 |
| Households | 194,480 | 4,873 |
| No-vehicle households | 34,772 | 3,960 |
| Workers 16+ | 240,144 | 5,800 |
| Public-transit commuters | 17,161 | 3,061 |
| Walking commuters | 17,375 | 3,137 |
| Working at home | 50,185 | 3,909 |
No-vehicle share: 17.9% of households. Public-transit share: 7.1% of workers. Walking: 7.2% of workers.
[141] Cleveland city, Ohio
2024 ACS 1-year · Census geography 1600000US3916000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 365,391 | 56 |
| Median household income ($) | 43,383 | 3,068 |
| Households | 171,450 | 4,094 |
| No-vehicle households | 40,273 | 3,834 |
| Workers 16+ | 167,021 | 6,108 |
| Public-transit commuters | 11,994 | 2,278 |
| Walking commuters | 8,566 | 2,203 |
| Working at home | 16,963 | 2,179 |
No-vehicle share: 23.5% of households. Public-transit share: 7.2% of workers. Walking: 5.1% of workers.
[142] New Orleans city, Louisiana
2024 ACS 1-year · Census geography 1600000US2255000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 362,701 | Not applicable |
| Median household income ($) | 58,821 | 2,885 |
| Households | 157,535 | 3,023 |
| No-vehicle households | 26,772 | 2,816 |
| Workers 16+ | 170,171 | 5,552 |
| Public-transit commuters | 6,934 | 1,617 |
| Walking commuters | 10,349 | 2,041 |
| Working at home | 21,330 | 2,403 |
No-vehicle share: 17% of households. Public-transit share: 4.1% of workers. Walking: 6.1% of workers.
[143] Tampa city, Florida
2024 ACS 1-year · Census geography 1600000US1271000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 414,575 | 160 |
| Median household income ($) | 84,114 | 6,239 |
| Households | 176,004 | 4,971 |
| No-vehicle households | 16,103 | 2,653 |
| Workers 16+ | 223,498 | 6,509 |
| Public-transit commuters | 2,612 | 1,214 |
| Walking commuters | 4,794 | 1,642 |
| Working at home | 44,517 | 4,545 |
No-vehicle share: 9.1% of households. Public-transit share: 1.2% of workers. Walking: 2.1% of workers.
[144] Orlando city, Florida
2024 ACS 1-year · Census geography 1600000US1253000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 334,871 | 86 |
| Median household income ($) | 77,597 | 5,979 |
| Households | 137,393 | 5,667 |
| No-vehicle households | 9,137 | 1,982 |
| Workers 16+ | 192,400 | 6,603 |
| Public-transit commuters | 2,874 | 1,195 |
| Walking commuters | 2,696 | 1,278 |
| Working at home | 25,344 | 3,461 |
No-vehicle share: 6.7% of households. Public-transit share: 1.5% of workers. Walking: 1.4% of workers.
[145] Pittsburgh city, Pennsylvania
2024 ACS 1-year · Census geography 1600000US4261000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 307,670 | 38 |
| Median household income ($) | 66,954 | 3,968 |
| Households | 142,997 | 4,350 |
| No-vehicle households | 27,349 | 3,130 |
| Workers 16+ | 159,557 | 5,357 |
| Public-transit commuters | 22,052 | 3,332 |
| Walking commuters | 14,348 | 2,035 |
| Working at home | 28,096 | 3,265 |
No-vehicle share: 19.1% of households. Public-transit share: 13.8% of workers. Walking: 9% of workers.
[146] Cincinnati city, Ohio
2024 ACS 1-year · Census geography 1600000US3915000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 314,914 | 39 |
| Median household income ($) | 56,910 | 4,437 |
| Households | 145,964 | 3,698 |
| No-vehicle households | 27,087 | 3,845 |
| Workers 16+ | 158,835 | 5,219 |
| Public-transit commuters | 6,255 | 2,129 |
| Walking commuters | 9,890 | 1,779 |
| Working at home | 18,907 | 2,429 |
No-vehicle share: 18.6% of households. Public-transit share: 3.9% of workers. Walking: 6.2% of workers.
[147] St. Louis city, Missouri
2024 ACS 1-year · Census geography 1600000US2965000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 279,695 | Not applicable |
| Median household income ($) | 53,374 | 4,332 |
| Households | 148,637 | 2,621 |
| No-vehicle households | 29,580 | 3,195 |
| Workers 16+ | 146,665 | 3,657 |
| Public-transit commuters | 11,520 | 2,601 |
| Walking commuters | 5,902 | 1,587 |
| Working at home | 20,457 | 3,268 |
No-vehicle share: 19.9% of households. Public-transit share: 7.9% of workers. Walking: 4% of workers.
[148] Salt Lake City city, Utah
2024 ACS 1-year · Census geography 1600000US4967000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 217,783 | 33 |
| Median household income ($) | 77,186 | 4,499 |
| Households | 98,916 | 3,919 |
| No-vehicle households | 12,789 | 2,642 |
| Workers 16+ | 129,670 | 5,295 |
| Public-transit commuters | 7,597 | 1,908 |
| Walking commuters | 7,311 | 2,138 |
| Working at home | 22,631 | 3,962 |
No-vehicle share: 12.9% of households. Public-transit share: 5.9% of workers. Walking: 5.6% of workers.
[149] Richmond city, Virginia
2024 ACS 1-year · Census geography 1600000US5167000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 233,655 | Not applicable |
| Median household income ($) | 63,390 | 5,113 |
| Households | 108,990 | 1,943 |
| No-vehicle households | 12,757 | 2,131 |
| Workers 16+ | 129,395 | 3,436 |
| Public-transit commuters | 5,435 | 2,041 |
| Walking commuters | 6,438 | 1,840 |
| Working at home | 21,918 | 2,876 |
No-vehicle share: 11.7% of households. Public-transit share: 4.2% of workers. Walking: 5% of workers.
[150] Buffalo city, New York
2024 ACS 1-year · Census geography 1600000US3611000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 276,618 | 43 |
| Median household income ($) | 52,211 | 3,012 |
| Households | 119,620 | 3,310 |
| No-vehicle households | 23,813 | 2,933 |
| Workers 16+ | 125,756 | 5,151 |
| Public-transit commuters | 9,269 | 1,620 |
| Walking commuters | 6,734 | 1,991 |
| Working at home | 13,889 | 2,517 |
No-vehicle share: 19.9% of households. Public-transit share: 7.4% of workers. Walking: 5.4% of workers.
[151] Hartford city, Connecticut
2024 ACS 1-year · Census geography 1600000US0937000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 122,136 | 42 |
| Median household income ($) | 50,418 | 4,925 |
| Households | 49,316 | 2,736 |
| No-vehicle households | 15,172 | 2,184 |
| Workers 16+ | 54,042 | 3,106 |
| Public-transit commuters | 8,634 | 2,163 |
| Walking commuters | 3,377 | 1,147 |
| Working at home | 4,507 | 1,185 |
No-vehicle share: 30.8% of households. Public-transit share: 16% of workers. Walking: 6.2% of workers.
[152] Birmingham city, Alabama
2024 ACS 1-year · Census geography 1600000US0107000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 198,477 | 2,719 |
| Median household income ($) | 51,355 | 2,944 |
| Households | 91,130 | 3,356 |
| No-vehicle households | 10,306 | 1,443 |
| Workers 16+ | 95,603 | 5,041 |
| Public-transit commuters | 3,028 | 3,320 |
| Walking commuters | 2,926 | 1,300 |
| Working at home | 8,589 | 2,034 |
No-vehicle share: 11.3% of households. Public-transit share: 3.2% of workers. Walking: 3.1% of workers.
[153] Charleston city, South Carolina
2024 ACS 1-year · Census geography 1600000US4513330.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 159,011 | 3,519 |
| Median household income ($) | 98,085 | 6,046 |
| Households | 71,361 | 3,579 |
| No-vehicle households | 5,270 | 1,424 |
| Workers 16+ | 86,771 | 4,323 |
| Public-transit commuters | 1,091 | 917 |
| Walking commuters | 3,400 | 1,148 |
| Working at home | 14,428 | 2,222 |
No-vehicle share: 7.4% of households. Public-transit share: 1.3% of workers. Walking: 3.9% of workers.
[154] Boise City city, Idaho
2024 ACS 1-year · Census geography 1600000US1608830.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 237,959 | 34 |
| Median household income ($) | 81,102 | 4,347 |
| Households | 106,045 | 2,312 |
| No-vehicle households | 7,925 | 1,766 |
| Workers 16+ | 125,025 | 3,833 |
| Public-transit commuters | 297 | 196 |
| Walking commuters | 3,207 | 931 |
| Working at home | 18,311 | 2,270 |
No-vehicle share: 7.5% of households. Public-transit share: 0.2% of workers. Walking: 2.6% of workers.
[155] Spokane city, Washington
2024 ACS 1-year · Census geography 1600000US5367000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 230,604 | 35 |
| Median household income ($) | 78,583 | 5,004 |
| Households | 99,109 | 2,493 |
| No-vehicle households | 8,054 | 1,467 |
| Workers 16+ | 111,797 | 4,182 |
| Public-transit commuters | 3,375 | 1,041 |
| Walking commuters | 3,421 | 1,011 |
| Working at home | 12,235 | 1,916 |
No-vehicle share: 8.1% of households. Public-transit share: 3% of workers. Walking: 3.1% of workers.
[156] Anchorage municipality, Alaska
2024 ACS 1-year · Census geography 1600000US0203000.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 289,600 | Not applicable |
| Median household income ($) | 105,356 | 5,596 |
| Households | 109,479 | 2,451 |
| No-vehicle households | 6,904 | 1,555 |
| Workers 16+ | 154,450 | 4,321 |
| Public-transit commuters | 1,402 | 683 |
| Walking commuters | 3,837 | 1,229 |
| Working at home | 13,856 | 2,190 |
No-vehicle share: 6.3% of households. Public-transit share: 0.9% of workers. Walking: 2.5% of workers.
[157] Urban Honolulu CDP, Hawaii
2024 ACS 1-year · Census geography 1600000US1571550.
| Indicator | Estimate | 90% MOE (±) |
|---|---|---|
| Population | 344,977 | 47 |
| Median household income ($) | 86,169 | 4,741 |
| Households | 136,908 | 3,974 |
| No-vehicle households | 18,154 | 1,596 |
| Workers 16+ | 183,248 | 5,061 |
| Public-transit commuters | 14,968 | 2,302 |
| Walking commuters | 15,375 | 2,367 |
| Working at home | 14,442 | 1,894 |
No-vehicle share: 13.3% of households. Public-transit share: 8.2% of workers. Walking: 8.4% of workers.
Website terms
Website information can change. External references provide source material and do not imply commercial relationships. The website is not a promise of service, vehicle availability, financial results or investment eligibility.