FRED Economic Data
Federal Reserve Bank of St. Louis
In a RepVector build, this dataset shows whether the money behind a territory is growing or contracting.
What this dataset is
Hundreds of thousands of U.S. economic and financial time series aggregated by the St. Louis Fed: interest rates, unemployment, inflation, housing prices, GDP, industrial production, and more. Searches the catalog dynamically for the user's market and topic, so the returned series change with the question. It is published by Federal Reserve Bank of St. Louis and can be queried at nation, state and county level, refreshed varies by series (daily to annual). Each row is a period observation, so results show direction and rate of change rather than a single snapshot.
Why it is useful
- Distinguishes a market that is expanding from one that is merely large but flat.
- Gives a defensible reason for sequencing territories when quota is fixed and travel time is not.
- Anchors budget conversations in published income and output trends rather than anecdote.
Questions it helps answer
- Is this territory's income base growing faster than the state as a whole?
- Which markets have the economic headroom to absorb a price increase?
- Where is output shrinking enough to justify pulling coverage back?
How different verticals use it
RepVector is vertical-agnostic: this dataset is selected by what your question asks for, not by industry. These are common ways teams put it to work.
Tracks regional output to decide which territories can absorb capacity expansion.
Backs credit and expansion cases with published income and output trends.
Flags markets where the income base is growing ahead of the state average.
Explains payer-mix pressure that shows up later in utilisation data.
How RepVector uses it
- You describe a market in plain language. The geography resolver turns the place you named into the exact identifiers this dataset needs — city to county to state, plus DMA where relevant — so a query at nation runs without you knowing any codes.
- The planner selects FRED Economic Data only when your question matches what it actually reports. It is never included to pad a result.
- Returned rows are normalised into the shared metric layer, so figures from Federal Reserve Bank of St. Louis line up with every other source in the same dashboard instead of sitting in an isolated table.
- Quality checks score coverage and recency. If Federal Reserve Bank of St. Louis suppresses or omits a value for your geography, the gap is reported as a gap — nothing is estimated or filled in.
- The result renders as charts, KPIs and, where the rows are entities, prioritised targets you can export to PDF, Excel, CSV or JSON.
What it does not tell you
- Reports aggregate trends with a reporting lag; it will not reflect a plant closure or opening from last quarter.
How it fits with the rest of the catalog
Economic trend lines explain the direction of a market; business counts and spending data explain who inside it is transacting. RepVector queries every selected dataset against the same resolved geography and time window, then normalises the results into one metric layer so they can be charted side by side. These datasets are the most common companions to FRED Economic Data:
Other economy datasets
Common questions
What does FRED Economic Data contain?
Hundreds of thousands of U.S. economic and financial time series aggregated by the St. Louis Fed: interest rates, unemployment, inflation, housing prices, GDP, industrial production, and more. Searches the catalog dynamically for the user's market and topic, so the returned series change with the question. It is published by Federal Reserve Bank of St. Louis at nation, state and county grain.
How often is it refreshed?
Federal Reserve Bank of St. Louis publishes on a varies by series (daily to annual) cycle. RepVector re-reads the source on that cadence and keeps every prior capture, so you can see what changed.
Do I need an account to use it?
No. Browsing the catalog and the free lookup tools needs no account. Running a full market build across every county in a territory is the paid product.
Build the list for one county and see whether the names are right.
Ask in plain language. RepVector finds the universe, enriches each target from its own website, scores it 0–100, and hands you a ranked call list with phones, addresses and named contacts.
3 free runs — no card required.