Read the data table
| Category | Licenses |
|---|---|
| Same recorded binary gender | 23,704 |
| Different recorded binary genders | 351,944 |
| Unclassified gender | 16 |
The files can describe a recorded gender pairing, but they cannot supply a personal identity or orientation. This page uses same recorded binary gender, different recorded binary genders and unclassified gender as its statistical categories. Abbreviated male and female labels are normalized. The headline includes only what those fields support; it should not be used as a complete count of LGBTQ marriages or the number of LGBTQ people who chose Vegas.
Coverage changes sharply across the historical files. Most early records do not supply usable gender fields. We publish annual pairing figures only from 2015 onward and only when the completeness screen passes. The screen requires at least 99% of licenses to have both fields in the recorded binary categories. That checks whether the calculation has broad field coverage; it does not validate the accuracy or inclusiveness of the underlying coding.
The recorded-pairing window covers 2021 to 2025. The 2022 file stops on 22 December. All dates here are license issue dates. The pairing rules and coverage screen are on the method page.
The recent chart keeps the unclassified category alongside the two binary pairing categories. A missing or other value is not assigned to a pair from a name, an age or an address. The files have no names in this published analysis, and there is no record-search service here. The public download carries only aggregates and the same withheld values as the tables. That lets the pattern be read without identifying individual couples.
The annual distribution
| Year | Category | Licenses |
|---|---|---|
| 2015 | Same recorded binary gender | withheld |
| 2015 | Different recorded binary genders | 77,596 |
| 2015 | Unclassified gender | withheld |
| 2016 | Same recorded binary gender | 4,778 |
| 2016 | Different recorded binary genders | 76,547 |
| 2016 | Unclassified gender | 0 |
| 2017 | Same recorded binary gender | 4,418 |
| 2017 | Different recorded binary genders | 73,768 |
| 2017 | Unclassified gender | 0 |
| 2018 | Same recorded binary gender | 4,269 |
| 2018 | Different recorded binary genders | 70,265 |
| 2018 | Unclassified gender | 0 |
| 2019 | Same recorded binary gender | 4,233 |
| 2019 | Different recorded binary genders | 68,910 |
| 2019 | Unclassified gender | 0 |
| 2020 | Same recorded binary gender | withheld |
| 2020 | Different recorded binary genders | 52,861 |
| 2020 | Unclassified gender | withheld |
| 2021 | Same recorded binary gender | withheld |
| 2021 | Different recorded binary genders | 72,438 |
| 2021 | Unclassified gender | withheld |
| 2022 | Same recorded binary gender | withheld |
| 2022 | Different recorded binary genders | 72,172 |
| 2022 | Unclassified gender | withheld |
| 2023 | Same recorded binary gender | withheld |
| 2023 | Different recorded binary genders | 69,618 |
| 2023 | Unclassified gender | withheld |
| 2024 | Same recorded binary gender | withheld |
| 2024 | Different recorded binary genders | 71,647 |
| 2024 | Unclassified gender | withheld |
| 2025 | Same recorded binary gender | withheld |
| 2025 | Different recorded binary genders | 66,069 |
| 2025 | Unclassified gender | withheld |
The annual table begins where the screen allows it. An omitted early year is not a zero and should not be turned into a pre-and-post account of changing relationships. Even within the eligible years, a coding change could affect what the fields capture. The licensing files alone cannot separate changes in the people applying from changes in administrative recording. This is why the category names stay explicit throughout the charts.
The view by home origin
| Origin | Category | Licenses |
|---|---|---|
| Nevada | Same recorded binary gender | withheld |
| Nevada | Different recorded binary genders | 74,924 |
| Nevada | Unclassified gender | withheld |
| California | Same recorded binary gender | withheld |
| California | Different recorded binary genders | 64,605 |
| California | Unclassified gender | withheld |
| Texas | Same recorded binary gender | withheld |
| Texas | Different recorded binary genders | 23,352 |
| Texas | Unclassified gender | withheld |
| Arizona | Same recorded binary gender | 1,023 |
| Arizona | Different recorded binary genders | 15,190 |
| Arizona | Unclassified gender | 0 |
| Florida | Same recorded binary gender | 847 |
| Florida | Different recorded binary genders | 11,069 |
| Florida | Unclassified gender | 0 |
| Washington | Same recorded binary gender | 548 |
| Washington | Different recorded binary genders | 9,236 |
| Washington | Unclassified gender | 0 |
| Michigan | Same recorded binary gender | withheld |
| Michigan | Different recorded binary genders | 6,984 |
| Michigan | Unclassified gender | withheld |
| Illinois | Same recorded binary gender | 504 |
| Illinois | Different recorded binary genders | 6,675 |
| Illinois | Unclassified gender | 0 |
| New York | Same recorded binary gender | 492 |
| New York | Different recorded binary genders | 5,790 |
| New York | Unclassified gender | 0 |
| Ohio | Same recorded binary gender | withheld |
| Ohio | Different recorded binary genders | 5,908 |
| Ohio | Unclassified gender | withheld |
| Utah | Same recorded binary gender | withheld |
| Utah | Different recorded binary genders | 5,592 |
| Utah | Unclassified gender | withheld |
| Georgia | Same recorded binary gender | 523 |
| Georgia | Different recorded binary genders | 5,146 |
| Georgia | Unclassified gender | 0 |
| Pennsylvania | Same recorded binary gender | withheld |
| Pennsylvania | Different recorded binary genders | 4,980 |
| Pennsylvania | Unclassified gender | withheld |
| Colorado | Same recorded binary gender | 331 |
| Colorado | Different recorded binary genders | 4,853 |
| Colorado | Unclassified gender | 0 |
| Oregon | Same recorded binary gender | 252 |
| Oregon | Different recorded binary genders | 4,248 |
| Oregon | Unclassified gender | 0 |
| Wisconsin | Same recorded binary gender | 197 |
| Wisconsin | Different recorded binary genders | 3,960 |
| Wisconsin | Unclassified gender | 0 |
| New Jersey | Same recorded binary gender | 282 |
| New Jersey | Different recorded binary genders | 3,796 |
| New Jersey | Unclassified gender | 0 |
| North Carolina | Same recorded binary gender | 322 |
| North Carolina | Different recorded binary genders | 3,744 |
| North Carolina | Unclassified gender | 0 |
| Missouri | Same recorded binary gender | 231 |
| Missouri | Different recorded binary genders | 3,570 |
| Missouri | Unclassified gender | 0 |
| Indiana | Same recorded binary gender | 219 |
| Indiana | Different recorded binary genders | 3,555 |
| Indiana | Unclassified gender | 0 |
| Minnesota | Same recorded binary gender | 162 |
| Minnesota | Different recorded binary genders | 3,261 |
| Minnesota | Unclassified gender | 0 |
| Oklahoma | Same recorded binary gender | 193 |
| Oklahoma | Different recorded binary genders | 3,141 |
| Oklahoma | Unclassified gender | 0 |
| New Mexico | Same recorded binary gender | 213 |
| New Mexico | Different recorded binary genders | 2,892 |
| New Mexico | Unclassified gender | 0 |
| Tennessee | Same recorded binary gender | 234 |
| Tennessee | Different recorded binary genders | 2,743 |
| Tennessee | Unclassified gender | 0 |
| Virginia | Same recorded binary gender | 199 |
| Virginia | Different recorded binary genders | 2,609 |
| Virginia | Unclassified gender | 0 |
| Maryland | Same recorded binary gender | 199 |
| Maryland | Different recorded binary genders | 2,141 |
| Maryland | Unclassified gender | 0 |
| Louisiana | Same recorded binary gender | 163 |
| Louisiana | Different recorded binary genders | 2,134 |
| Louisiana | Unclassified gender | 0 |
| Idaho | Same recorded binary gender | 100 |
| Idaho | Different recorded binary genders | 1,957 |
| Idaho | Unclassified gender | 0 |
| Massachusetts | Same recorded binary gender | 119 |
| Massachusetts | Different recorded binary genders | 1,849 |
| Massachusetts | Unclassified gender | 0 |
| Iowa | Same recorded binary gender | 90 |
| Iowa | Different recorded binary genders | 1,864 |
| Iowa | Unclassified gender | 0 |
| Kansas | Same recorded binary gender | 101 |
| Kansas | Different recorded binary genders | 1,726 |
| Kansas | Unclassified gender | 0 |
| South Carolina | Same recorded binary gender | 134 |
| South Carolina | Different recorded binary genders | 1,653 |
| South Carolina | Unclassified gender | 0 |
| Kentucky | Same recorded binary gender | 124 |
| Kentucky | Different recorded binary genders | 1,659 |
| Kentucky | Unclassified gender | 0 |
| Alabama | Same recorded binary gender | 100 |
| Alabama | Different recorded binary genders | 1,335 |
| Alabama | Unclassified gender | 0 |
| Hawaii | Same recorded binary gender | 95 |
| Hawaii | Different recorded binary genders | 1,271 |
| Hawaii | Unclassified gender | 0 |
| Nebraska | Same recorded binary gender | 63 |
| Nebraska | Different recorded binary genders | 1,232 |
| Nebraska | Unclassified gender | 0 |
| Arkansas | Same recorded binary gender | 88 |
| Arkansas | Different recorded binary genders | 1,088 |
| Arkansas | Unclassified gender | 0 |
| Connecticut | Same recorded binary gender | 53 |
| Connecticut | Different recorded binary genders | 930 |
| Connecticut | Unclassified gender | 0 |
| Mississippi | Same recorded binary gender | 69 |
| Mississippi | Different recorded binary genders | 897 |
| Mississippi | Unclassified gender | 0 |
| Montana | Same recorded binary gender | 38 |
| Montana | Different recorded binary genders | 910 |
| Montana | Unclassified gender | 0 |
| Alaska | Same recorded binary gender | 46 |
| Alaska | Different recorded binary genders | 808 |
| Alaska | Unclassified gender | 0 |
| North Dakota | Same recorded binary gender | 40 |
| North Dakota | Different recorded binary genders | 777 |
| North Dakota | Unclassified gender | 0 |
| Wyoming | Same recorded binary gender | 30 |
| Wyoming | Different recorded binary genders | 602 |
| Wyoming | Unclassified gender | 0 |
| West Virginia | Same recorded binary gender | 32 |
| West Virginia | Different recorded binary genders | 514 |
| West Virginia | Unclassified gender | 0 |
| Delaware | Same recorded binary gender | 33 |
| Delaware | Different recorded binary genders | 503 |
| Delaware | Unclassified gender | 0 |
| South Dakota | Same recorded binary gender | 24 |
| South Dakota | Different recorded binary genders | 506 |
| South Dakota | Unclassified gender | 0 |
| United Kingdom | Same recorded binary gender | 888 |
| United Kingdom | Different recorded binary genders | 13,160 |
| United Kingdom | Unclassified gender | 0 |
| Canada | Same recorded binary gender | 348 |
| Canada | Different recorded binary genders | 6,947 |
| Canada | Unclassified gender | 0 |
| Germany | Same recorded binary gender | 208 |
| Germany | Different recorded binary genders | 4,477 |
| Germany | Unclassified gender | 0 |
| France | Same recorded binary gender | withheld |
| France | Different recorded binary genders | 3,209 |
| France | Unclassified gender | withheld |
| Australia | Same recorded binary gender | 146 |
| Australia | Different recorded binary genders | 1,634 |
| Australia | Unclassified gender | 0 |
| Mexico | Same recorded binary gender | 118 |
| Mexico | Different recorded binary genders | 1,319 |
| Mexico | Unclassified gender | 0 |
| Poland | Same recorded binary gender | 37 |
| Poland | Different recorded binary genders | 958 |
| Poland | Unclassified gender | 0 |
| Italy | Same recorded binary gender | 43 |
| Italy | Different recorded binary genders | 930 |
| Italy | Unclassified gender | 0 |
| Spain | Same recorded binary gender | 58 |
| Spain | Different recorded binary genders | 728 |
| Spain | Unclassified gender | 0 |
| Ireland | Same recorded binary gender | withheld |
| Ireland | Different recorded binary genders | 702 |
| Ireland | Unclassified gender | withheld |
| Netherlands | Same recorded binary gender | 26 |
| Netherlands | Different recorded binary genders | 635 |
| Netherlands | Unclassified gender | 0 |
| Austria | Same recorded binary gender | 16 |
| Austria | Different recorded binary genders | 535 |
| Austria | Unclassified gender | 0 |
| Belgium | Same recorded binary gender | 27 |
| Belgium | Different recorded binary genders | 491 |
| Belgium | Unclassified gender | 0 |
| New Zealand | Same recorded binary gender | 15 |
| New Zealand | Different recorded binary genders | 430 |
| New Zealand | Unclassified gender | 0 |
| Switzerland | Same recorded binary gender | 22 |
| Switzerland | Different recorded binary genders | 405 |
| Switzerland | Unclassified gender | 0 |
| Brazil | Same recorded binary gender | 27 |
| Brazil | Different recorded binary genders | 395 |
| Brazil | Unclassified gender | 0 |
| Israel | Same recorded binary gender | 56 |
| Israel | Different recorded binary genders | 322 |
| Israel | Unclassified gender | 0 |
| China | Same recorded binary gender | 79 |
| China | Different recorded binary genders | 263 |
| China | Unclassified gender | 0 |
| Czechia | Same recorded binary gender | 10 |
| Czechia | Different recorded binary genders | 287 |
| Czechia | Unclassified gender | 0 |
| Chile | Same recorded binary gender | 23 |
| Chile | Different recorded binary genders | 242 |
| Chile | Unclassified gender | 0 |
| Colombia | Same recorded binary gender | 15 |
| Colombia | Different recorded binary genders | 234 |
| Colombia | Unclassified gender | 0 |
| Denmark | Same recorded binary gender | 11 |
| Denmark | Different recorded binary genders | 234 |
| Denmark | Unclassified gender | 0 |
| Hungary | Same recorded binary gender | 10 |
| Hungary | Different recorded binary genders | 231 |
| Hungary | Unclassified gender | 0 |
| Sweden | Same recorded binary gender | withheld |
| Sweden | Different recorded binary genders | withheld |
| Sweden | Unclassified gender | 0 |
| Argentina | Same recorded binary gender | 12 |
| Argentina | Different recorded binary genders | 144 |
| Argentina | Unclassified gender | 0 |
| Philippines | Same recorded binary gender | 48 |
| Philippines | Different recorded binary genders | 105 |
| Philippines | Unclassified gender | 0 |
| Romania | Same recorded binary gender | withheld |
| Romania | Different recorded binary genders | withheld |
| Romania | Unclassified gender | 0 |
| Norway | Same recorded binary gender | withheld |
| Norway | Different recorded binary genders | withheld |
| Norway | Unclassified gender | 0 |
| Hong Kong | Same recorded binary gender | 20 |
| Hong Kong | Different recorded binary genders | 117 |
| Hong Kong | Unclassified gender | 0 |
| Puerto Rico | Same recorded binary gender | 56 |
| Puerto Rico | Different recorded binary genders | 499 |
| Puerto Rico | Unclassified gender | 0 |
The origin table uses the home mailing address. It does not classify citizenship or say where each partner usually lives. Reading a same-recorded-gender count for a country as a count of that country's citizens would add information the source does not contain. The state and country pages give the wider licensing context for each address group, including total volume and the years covered by its trend.
For California, recorded binary pairings includes 64,605 licenses in the Different recorded binary genders category. The California page puts recorded binary pairings beside that origin's annual license trend and month pattern. Keep recorded binary pairings for California in its full origin table, where the other published categories are available alongside this one.
For Texas, recorded binary pairings includes 23,352 licenses in the Different recorded binary genders category. The Texas page puts recorded binary pairings beside that origin's annual license trend and month pattern. Keep recorded binary pairings for Texas in its full origin table, where the other published categories are available alongside this one.
For United Kingdom, recorded binary pairings includes 13,160 licenses in the Different recorded binary genders category. The United Kingdom page puts recorded binary pairings beside that origin's annual license trend and month pattern. Keep recorded binary pairings for United Kingdom in its full origin table, where the other published categories are available alongside this one.
For Florida, recorded binary pairings includes 11,069 licenses in the Different recorded binary genders category. The Florida page puts recorded binary pairings beside that origin's annual license trend and month pattern. Keep recorded binary pairings for Florida in its full origin table, where the other published categories are available alongside this one.
For New York, recorded binary pairings includes 5,790 licenses in the Different recorded binary genders category. The New York page puts recorded binary pairings beside that origin's annual license trend and month pattern. Keep recorded binary pairings for New York in its full origin table, where the other published categories are available alongside this one.
For a couple reading recorded binary pairings while making plans, begin the paperwork with how to get a marriage license. After the ceremony, use the certified-copy guide for proof, keeping recorded binary pairings separate from the official document requirements. The historical recorded binary pairings supplies context about the files; an individual couple's eligibility and application documents belong with the Clerk's own instructions.