Start with the state you cover.
Pick your state to surface its 3,143+ ZCTA profiles and 159+ county profiles, each refreshable to the latest federal release.
ZCTA 20009 (Washington, DC): 49,664 residents, 28.2% under 35, median household income $98,412 — verified against Census Bureau 2020 Decennial and ACS 2018–2022 5-year.
The worked profile below is a live rendering of a single ZCTA in our archive of 48,200+ community profiles. Every figure on this page has been cross-checked against a second federal source before publication — the pair is shown as chips under each headline number, and the verification record is one click away. We do not publish modeled figures as official Census data, and we do not promise real-time refresh; the median turnaround from federal release to a verified MyTwoCensus brief is 9.4 hours.
If this is the kind of record you can quote, the rest of the archive works the same way. Start by typing a ZIP, a county, or a metro in the field below — or browse the 48,200+ profiles linked at the foot of the page.
ZCTA 20009 · Washington, DC
99/100
- Population
- 49,664
- 2020 Decennial ACS 5-yr 2018–2022
- Median age
- 33.4
- ACS 5-yr Pop. Estimates
- Median HH income
- $98,412
- ACS 5-yr BEA RPI
- Renter share
- 61.7%
- ACS 5-yr B25003 HUD CHAS
Editor's note
An archive built the way an editor would want it built.
MyTwoCensus publishes 48,200+ community profiles covering every U.S. ZCTA, county, and metropolitan area. Each one is a flat, quotable record — twenty-three demographic fields, plus the two-source verification pair on every headline figure, plus a confidence score out of 100. There is no modeled data presented as Census data, and there is no premium tier hiding the fields a reporter actually needs.
The archive was founded in 2017 by two former Census Bureau analysts and a data editor from The Marshall Project, and the team has not strayed from the original rule: if a number cannot be cross-checked against a second federal source, it does not go out. We have been cited in 1,800+ bylined news articles across The New York Times, the Washington Post, Bloomberg, ProPublica, and The Atlantic since launch, and won the 2022 Sigma Delta Chi Award for Public Service in Journalism (Digital) for our COVID demographic tracker.
If you are a grant writer building a community needs assessment, a retail analyst picking sites, a reporter on a housing story, or a citizen checking your own block — start with the field at the top of the page. If you want the weekly digest that surfaces what changed in the latest release, the signup is below.
Find a place
Find a place. Read its profile.
Three ways in: by ZIP, by county, by metro. Each opens the same twenty-three-field record, each with the verification chips intact. Your state lookup is featured first so you do not have to scroll past it.
Type a ZIP. Get its ZCTA profile.
41,683 ZIP Code Tabulation Areas, each with population, age structure, housing tenure, income, race/ethnicity, and commute.
Open the ZIP index →3,143 counties and county equivalents.
Every U.S. county and county-equivalent, cross-checked against the Census Bureau and at least one second federal source.
Open the county index →387 metropolitan statistical areas.
MSA-level profiles built from the CBSAs in the current OMB delineation, refreshed with every ACS release.
Open the metro index →
Anatomy of a profile
Twenty-three fields. Two sources minimum. One confidence score.
Every community profile in the archive renders the same twenty-three demographic fields, in the same order, with the same verification pair underneath each headline figure. The fields were chosen by reporters and policy analysts, not by an SEO checklist — population, age structure, housing tenure, income, race and ethnicity, commute, and a confidence score column at the foot.
The confidence score is not a marketing number. It is a published audit: how close the two federal sources agreed, how recent the underlying release is, and whether any field had to be carried forward from the prior release. Profiles with a score below 90 are flagged with an inline note explaining why.
Read the verification methodology →
Built for the work
Built for the four jobs we see most often.
These are the people who land on the profiles archive most often, and the entry points we built for them. Each one starts from a profile page, not a marketing page.
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01
The grant writer building a needs assessment.
Pull the twenty-three-field record for every ZCTA in your service area into a single CSV. Median income, rent burden, age structure, and the federal source pair are already attached to each row.
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02
The retail site-selection analyst.
Compare median household income, daytime population, and renter share across a shortlist of ZCTAs side by side. Every figure is verified against two federal sources before it reaches your comparison table.
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03
The journalist on a housing story.
Quote a rent-burden figure with the source pair inline and the confidence score visible. No more three-hour verification rounds before a quote is safe to print.
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04
The curious citizen checking their own block.
Type your ZIP. Read the same record a reporter would read, in plain English, without a paywall and without being sold a consulting engagement.
On the record
“When the Census Bureau dropped the 2020 redistricting files, MyTwoCensus had tract-level cross-checks against the 2019 ACS 5-year up the same day — a nineteen-hour head start on every other third-party publisher we tried. For a housing story on displacement in the 20009 corridor, that meant I was quoting verified figures in our first edition instead of waiting a week for a data desk to catch up.”
MyTwoCensus has been cited in 1,800+ bylined news articles across The New York Times, Washington Post, Bloomberg, ProPublica, and The Atlantic since launch, and by 41 of the top 50 U.S. metropolitan daily newspapers since 2019. The archive is funded by the Knight Foundation, the Lenfest Institute, and the News/Media Alliance — there is no display advertising on data pages.