Real-time economic nowcasting data
Official statistics arrive with a lag; nowcasting estimates the economy now using high-frequency data. This guide covers the data behind nowcasting and how to source it.
What nowcasting is
Nowcasting uses timely, high-frequency data to estimate current economic conditions before official figures are published. It blends traditional and alternative indicators into a near-real-time read.
Useful high-frequency data
- Payments and spending: aggregated transaction signals.
- Mobility and activity: movement and footfall.
- Energy and traffic: real-economy proxies.
- Web and search: demand signals.
Why it matters
For policy, investment and operations, knowing the trajectory weeks earlier than official data is valuable, especially around turning points and shocks.
Sourcing considerations
Many inputs are alternative data derived from individuals, so aggregation and privacy compliance are essential. Representativeness and stability of signals matter, and combining sources improves robustness.
Delivery and cadence
Nowcasting needs frequent, low-latency feeds, often via API, with consistent alignment to the indicators being estimated.
In a managed model
A managed partner can source and align high-frequency, privacy-compliant indicators for nowcasting.
High-frequency inputs and privacy
Nowcasting estimates current conditions ahead of official statistics using timely signals, payments and spending, mobility and footfall, energy and traffic, web and search. Many of these are alternative data derived from individuals, so robust aggregation and privacy compliance are prerequisites, not afterthoughts. Representativeness and stability of each signal determine whether the nowcast is reliable.
Alignment and robustness
The value is greatest around turning points and shocks, where official data lags most. Combining several independent high-frequency inputs, aligned consistently to what is being estimated, makes a nowcast more robust than any single proxy, which can be distorted by changes in the underlying panel.
- Nowcasting estimates the economy now, ahead of official data.
- Payments, mobility, energy and search are useful high-frequency inputs.
- Many inputs are alternative data; aggregate and comply with privacy.
- Needs frequent, low-latency, well-aligned feeds.
Sources & further reading
- ECB and central-bank nowcasting research.
- Eurostat: experimental and high-frequency statistics.
- OECD: alternative indicators.
- EUR-Lex: Regulation (EU) 2016/679 (GDPR).
We source and align high-frequency, privacy-compliant indicators for nowcasting. Get a no-obligation quote.