The largest subreddits in 2026, ranked by members (updated monthly)

The largest subreddit is r/announcements, Reddit's own news subreddit, with 302,606,534 members on October 17, 2026. The largest community-run subreddits are r/funny (67.6 million members), r/AskReddit (59.9 million) and r/worldnews (47.7 million). We pulled every number in this post live that day, one API call per subreddit, and the table covers 50 of Reddit's biggest communities. Every response came back uncached ("cached": false), so each count is a fresh read from October 17, 2026, not a figure copied from an older list.

Two notes before the table. First, this ranks the 50 large subreddits we checked and is not a census of every subreddit, so a big community we missed could belong on it (tell us and it goes into next month's run). Second, member count and activity are different things, and a later section covers that gap.

We update this list monthly. Next update: November 2026.

The 50 largest subreddits by members (October 17, 2026)

Source: ChatterAPI GET /v1/reddit/subreddits/{name}, one call per subreddit, captured October 17, 2026. "Members" is the subscribers field Reddit reports for each community. "Created" is the year the subreddit was made.

What the biggest subreddits have in common

A few patterns stand out once the numbers sit side by side.

Reddit's own subs are in a class of their own. r/announcements (302.6 million) has more than four times the members of r/funny, and r/blog (18.8 million) still ranks 42nd. Both are Reddit's own news channels, not communities, so count them separately when you compare. Their member counts say little about how many people read them.

Almost everything big is old. 42 of the 50 subreddits were created between 2008 and 2012, and r/science (2006) is the oldest on the list. The newest, r/nextfuckinglevel (2018), sits near the bottom at 10.5 million. Joining is cheap and leaving is rare, so member counts mostly reward age.

The top is general-interest: humour, questions, news, games, music, animals and film fill the first ten places. The first subreddit about money, r/personalfinance, comes in 32nd with 21.9 million, and r/wallstreetbets ranks 38th with 20.4 million.

The gaps are small in the middle. Places 16 to 40 all fall between 20.3 and 28.0 million members. A few months of growth can reorder that band, which is why we update this list monthly rather than calling it settled.

The most popular subreddits are not always the largest

"Largest" and "most popular" get used interchangeably, but they measure different things.

• Members count accounts that clicked join at any point, including deleted, dormant and long-departed ones. That's the number in the table.
• Activity counts what happens now: posts per day, comments per post, upvotes on the top posts this week. A subreddit with fewer members can be far busier than a larger, older one.

To compare activity, pull the newest posts for each subreddit and measure how much happened in the last 24 hours. Subreddit stats explains which activity numbers matter and how to get them, and the free subreddit stats tool checks one subreddit in the browser.

How we pulled the numbers

Every row is one call to the subreddit endpoint. Here's the call for the top row:

curl "https://api.chatterapi.com/v1/reddit/subreddits/announcements" \
  -H "Authorization: Bearer $CHATTERAPI_KEY"

This is the live response, captured October 17, 2026, trimmed to the main fields. The full response also carries rules, moderators and posting settings:

{
  "data": {
    "name": "announcements",
    "title": "Announcements",
    "description": "Official announcements from Reddit, Inc.",
    "subscribers": 302606534,
    "createdAt": "2009-06-17T16:28:21.000Z",
    "nsfw": false,
    "url": "https://www.reddit.com/r/announcements/"
  },
  "credits": { "charged": 2, "remaining": 96 },
  "requestId": "req_01M54Z6Y8MH8Q8QAK5XN",
  "cached": false
}

The script below builds the table. Change the list to rank any set of subreddits:

import os
import requests

SUBS = ["announcements", "funny", "AskReddit", "worldnews", "gaming", "todayilearned"]  # ...50 in our run
HEADERS = {"Authorization": f"Bearer {os.environ['CHATTERAPI_KEY']}"}

rows = []
for name in SUBS:
    r = requests.get(f"https://api.chatterapi.com/v1/reddit/subreddits/{name}", headers=HEADERS, timeout=60)
    if r.status_code != 200:
        print("skipped", name, r.status_code)  # banned, private or misspelled
        continue
    d = r.json()["data"]
    rows.append((d["subscribers"] or 0, d["name"], d["createdAt"][:4]))

rows.sort(reverse=True)
print("| Rank | Subreddit | Members | Created |\n|---|---|---|---|")
for i, (members, name, year) in enumerate(rows, 1):
    print(f"| {i} | r/{name} | {members:,} | {year} |")

Each lookup costs 2 credits, so the full 50-subreddit run is 100 credits, which matches the 100 free credits you get at signup. Failed calls (a banned or private subreddit, a typo) cost nothing.

Use these numbers in your own work

If you're building a dashboard, a research dataset or a list of related communities, member counts are only the first column. Store a snapshot every time you pull, because the history shows which subreddits are growing. Sign up with Google for 100 free credits, no card needed, and run the script above on the subreddits you care about.