Reddit Financial Subreddits Dataset 2008–2020

A Reddit dataset of 8,035,392 comments across 6 financial subreddits, 2008–2020, collected by Zenodo contributor via Pushshift Reddit API. Each record contains body text, subreddit, author, created_date, year, readability metrics (Fog index, avg words/sentence, avg syllables/word). 8M+ Reddit comments from r/personalfinance, r/Frugal, r/Economics, r/business, r/investing, and r/financialindependence spanning 2008–2020, pre-annotated with Gunning Fog readability scores.. Suitable for Financial discourse analysis, readability research, community language evolution, NLP on financial social media..

#Financialindependence#Frugal#Investing#Personal finance#Pushshift#Readability

Download data BibTeX JSONSimilar datasets

Analytics

Content metrics

8,035,392 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

fogμ 11.134 ± 3.829
min 0.4max 990.4
avg words per sentenceμ 18.358 ± 8.321
min 1max 2.5K
avg syllables per wordμ 1.441 ± 0.197
min 0max 25.351
8.3
Flesch–Kincaid grade
US school grade level
8.7
Automated readability index
Frequent terms
donmoneylikepeoplepaytimeyearsyearcreditworkwantgoodneedthinkcargoingknowjobwaytaxnewincomecompanydebtbuymonthuselotaccountbetterinterestthingsmarkethouselongcardampsurepayingrightdoesnfindprobablyinsurancehomecashpaidlifecostloan
Topic clusters

Topic 0

credit
card
score
pay
account
debt
bank
loan

Topic 1

water
eat
meal
chicken
food
rice
buy
cheap

Topic 2

mortgage
house
rent
home
buy
year
simulation
property

Topic 3

car
drive
insurance
vehicle
loan
pay
buy
new

Topic 4

china
economy
people
economic
country
trump
ubi
government

Topic 5

college
degree
school
class
university
job
year
student

Topic 6

roth
tax
ira
contribution
income
traditional
taxis
contribute

Topic 7

hsa
insurance
plan
deductible
hdhp
health
medical
premium

Topic 8

kid
money
parent
want
life
like
child
spend

Topic 9

sign
contract
document
read
agreement
page
company
compete

Topic 10

woman
people
man
wage
fire
think
hire
worker

Topic 11

job
company
work
offer
salary
position
raise
interview
Show all 17 topics

Topic 12

apple
iphone
phone
product
android
company
google
unit

Topic 13

fund
index
vanguard
market
fee
stock
target
etf

Topic 14

budget
month
account
spend
expense
money
saving
bill

Topic 15

business
product
website
customer
marketing
site
page
seo

Topic 16

market
stock
invest
company
price
investor
buy
time
Top hashtags
#x200b3.7K
#1134
#271
#331
#412
#510
#107
#s6
#wiki_credit5
#wiki_retirement_accounts5
#84
#63
#maga3
#page3
#pricing3
#02
#10002
#10058082
#12342
#1e97344835292
Top emoji
😂37
🤷20
👏12
👍11
😊10
🏼9
😉9
🙂8
😫6
😅5
🙄5
👌4
😁4
🤗4
😃3

Sampled: text metrics from 50K of 8M records; topic model from 20K.

Record

Catalog key
reddit-financial-subreddits
Authors
Lesmy, Danny
Year
2025
Source paper
reddit comments from financial subreddits
DOI / arXiv
10.5281/zenodo.15118235
License
Creative Commons Attribution 4.0 International (CC BY 4.0) (CC-BY-4.0)
Records
8,035,392
Languages
en
Collected
2008/2020 (2000s, 2010s, 2020s)
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://zenodo.org/records/15118235 link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 3.4 GB across 1 files. Checksums in MANIFEST.json.

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@misc{https://doi.org/10.5281/zenodo.15118235,
  doi       = {10.5281/ZENODO.15118235},
  url       = {https://zenodo.org/doi/10.5281/zenodo.15118235},
  author    = {Lesmy, Danny},
  keywords  = {reddit comments from financial subreddit communities},
  language  = {en},
  title     = {reddit comments from financial subreddits},
  publisher = {Zenodo},
  year      = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Lesmy, D. (2025). Reddit Financial Subreddits Dataset 2008–2020 [Data set]. https://doi.org/10.5281/zenodo.15118235

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Lesmy, Danny. Reddit Financial Subreddits Dataset 2008–2020. 2025, doi.org/10.5281/zenodo.15118235.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →