Las Vegas Visitor Volume Statistics: What the Monthly Numbers Cover

Two design choices make the release more than a press clipping. The geography is declared in the title itself - Las Vegas, Laughlin and Mesquite ship as one document - so a soft resort-corridor month can be read against downtown performance without leaving the table. And because the gaming revenue columns arrive inside the same release, credited line by line to the Nevada Gaming Control Board, Harry Reid International Airport and NDOT, the usual reconciliation argument about which agency owns the win number never starts.

In Datadory's casinos & gaming slice this demand side sits opposite twelve primary records dominated by state regulators. The demand anchor is the LVCVA Research Center - Tourism & Gaming-Adjacent Reports, the research program of the Las Vegas Convention and Visitors Authority, Southern Nevada's destination marketing organization.

Five report families come under the LVCVA Research Center record:

• Monthly Executive Summary of Las Vegas, Laughlin & Mesquite Tourism Indicators - roughly 40 indicators per edition, pairing visitor volume, convention attendance, occupancy, ADR, RevPAR and room nights with gaming revenue by sub-market.
• Historical Visitation Statistics - one annual table spanning 1970 through 2025, about 56 observations, carrying visitor volume, convention attendance, room inventory, occupancy, room tax collections, en/deplaned air passengers, average daily I-15 border auto traffic and Clark County gaming revenue.
• Year-End Summaries closing out each of 2019 through 2025.
• Visitor Profile Studies, running since 1975, with a 2025 Las Vegas edition plus Laughlin and Mesquite versions and a visitor-segments matrix, alongside visitor-origin reports covering top direct air markets and international visitation by country.
• Economic Impact of Visitors studies putting 2025 at $50.8 billion in direct spending and $80.9 billion in total economic impact on a baseline of 38.5 million visitors.

An interactive Tourism Tracker view handles one-off custom metric queries; anything recurring belongs in the delivered feed instead, where every pull returns the same columns.

Rows exactly as the record delivers them - verified during cataloging, August 2026:

period 1970 · market las vegas · grain annual
visitor_volume         6,787,650
room_inventory         25,430       occupancy 68.0%
convention_attendance  269,129
clark_county_gaming_revenue_usd     369,286,977

period 2026-06 · area las vegas strip · regulator nevada gaming control board
gaming_win_usd_thousands  1,150,942   yoy_change -0.72%

Three things surface immediately. Demand and yield share the row: occupancy, ADR and RevPAR ride beside the visitor count, so a softening month is attributable on sight rather than after a second merge. The annual grain and the monthly grain speak the same column language, which is why a fifty-six-year history and the current month stack into one panel without reshaping. And the win column keeps its regulator attribution, because the moment visitation gets tested against gaming revenue the provenance question arrives whether or not anyone planned for it.

Every field above is a verified definition with an example, checked against the published files during the August 2026 research pass - not inferred from column naming. Get a sample of this dataset scoped to the measures and months you care about, and the dictionary travels with the rows.

To 1970, in one continuous table. The growth arc is stark enough to serve as a case study in destination development: 6,787,650 visitors in 1970 became 11,941,524 by 1980 and 18,129,684 by 1989, while room inventory climbed from 25,430 to 45,815 to 67,391 rooms across those same years. Occupancy peaked at 85.2% in 1989 against 68.0% in 1970 - the era when supply, not demand, was the binding constraint. Convention attendance multiplied from 269,129 to 656,024 to 1,508,842, which is why planners treat this as one integrated demand record rather than a tourism-only table.

The non-visitation columns earn their place in modeling terms. En/deplaned air passengers and average daily I-15 auto traffic at the Nevada/California border act as independent arrival measures - two ways to test whether a reported visitor count moved because people came or because counting changed. Room tax collections give a fiscal series that scales with occupied room nights, and Clark County gaming revenue runs unbroken alongside all of it. By 2025 the same table records 38.5 million visitors, the baseline underneath the $80.9 billion total economic impact figure.

At property level, World Casino Directory maintains 175 records on its Las Vegas city page alone - name, address, geocoordinates, table-game and slot-machine counts and open/closed status - across roughly 240 countries and territories overall. When an analysis needs unit counts per property rather than market totals, this is the record that provides them, and it joins to the market-level series on the same geographic names.

Ranked by how directly the monthly series answers their day job, per Datadory's persona tagging for casinos & gaming:

1. Market researchers and consultants (relevance 3) - size Las Vegas tourism from the indicator set, benchmark convention capture against attendance, and read origin-market reports to explain who the 3 million monthly visitors are. Patterns in market researchers use cases.
2. Data scientists and ML engineers (relevance 2) - model Vegas demand off a fifty-six-year panel of visitation, occupancy, ADR and RevPAR; the arrival columns double as independent features. Variants in data scientists use cases.
3. Investors and quant researchers (relevance 2) - trade leisure exposure off ADR, RevPAR and visitation momentum, testing whether demand leads the regulator's win line by a month or two.
4. Sales and growth teams (relevance 2) - prioritize casino-hotel accounts using visitor-volume trends by origin market rather than logo size.
5. Journalists, academics and students (relevance 2) - cite the 1970-present history for stories about the Las Vegas economy, with every number traceable to its edition.
6. Competitive-intel and product teams (relevance 1) - benchmark convention attendance when comparing destination competitors.
7. E-commerce operators (relevance 1) - time promotions to occupancy and arrival patterns.

The common thread: everyone above needs the same few columns, reliably typed, arriving without a monthly extraction project attached.

Five, and they decide whether a figure survives review.

Restatement is normal. The running year-to-date summary restates earlier months as the year progresses and occasionally revises them, so a number pulled mid-year is a snapshot, not a final. Pin the vintage whenever a figure leaves your desk.

Regulator figures move after publication. The Nevada Gaming Control Board flags its own numbers as subject to change from late filings, audits and post-release adjustments. A Strip win total can shift weeks after the month closes; the demand-side columns inherit those corrections on the next edition.

Suppression shapes the small-area detail. Revenue-range groups require a minimum of four reporting locations, and unit-level detail drops out below three - so thin sub-markets vanish from the win tables exactly where they are least statistically meaningful, by design.

Scope is Clark County, not Nevada. The monthly summary covers Las Vegas, Laughlin and Mesquite. Any statewide claim belongs to the regulator's own county tables, and treating the three-market figure as a Nevada total overstates it.

One month, one vintage. Each period adds exactly one new edition - there is no backfill beyond corrections - so pipelines should expect twelve additions a year on the monthly grain and one on the annual table. Older annual columns arrive parsed and typed rather than scanned, so the deep history models like any other series.

Request a sample scoped to your markets, measures and date range, and real rows come back first - fill rates noted, dictionary attached.

Start with the Casinos & Gaming data guide, the pillar mapping all fourteen pooled records in this industry and showing how regulator win data, demand indicators and odds feeds combine into one stack. Then go straight to the records: the LVCVA Research Center for demand, the Nevada Gaming Control Board for win, UNLV's gaming archive for supply history and World Casino Directory for properties. The full ranking lives on best casinos-gaming datasets, the industry bench on the casinos gaming data hub, and the demand-versus-regulator contrast is drawn out on the UK Gambling Commission vs LVCVA comparison. Definitions for the vocabulary used here sit on visitation statistics and occupancy rate.