Key facts for Economic Point-in-Time Data
Coverage metric
Geography:
North America, Asia / Pacific, EMEA, Latin America and the Caribbean
History:
From 1900
Coverage count:
Documents/Reports/Records - 10000 Economic indicators
Delivery metadata
Data Frequency
Daily
Language
English
Delivery methods:
Excel, Deployed/Onsite Servers, API, Web Service, SFTP, Cloud, Desktop, FTP, Bulk, SQL, Snowflake, RSS Feed, Website
Data formats:
CSV, GZIP, JSON, SQL, Text, Metafile Picture, Bitmap, PCAP, PDF, XML, Python, MPEG, HTML, User Interface
Minimum service frequency
Daily
Overview of Economic Point-in-Time Data
INFORMED MODEL VALIDATION
Superior Backtesting of Investment Strategy
- Eliminate Look-Ahead Bias to enable accurate backtesting of investment strategies
- Improve the reliability of forecasting models, trading strategies and risk assessments
- Analyse how revisions influence expectations, investment decisions and forecasts
EMBED PIT DATA INTO WORKFLOWS
Harness PIT data for better decision making
- Simulate investment decisions based on information available at the time.
- Leverage original releases and subsequent revisions to validate forecasting models.
- Embed PIT data into client workflows to support more informed decision-making.
MACROECONOMIC POINT-IN-TIME DATA
Original and revised major indicator series
- Captures economic data as originally published and subsequently revised.
- Shows what economic information was available at any given point in time.
- Provides visibility into how economic indicators evolve through successive data releases and revisions.
Description of the dataset
- LSEG delivers point-in-time economic time series designed to help customers evaluate macroeconomic information as it was available at a given moment. Our coverage supports decision-making where revision history, publication timing and historical context are critical to understanding economic signals.
- We provide broad macroeconomic content spanning national accounts, financial accounts, external accounts, industrial activity and labour indicators. LSEG also supports micro-level analysis across housing, energy, automotive and other industry-specific measures, as well as sub-national indicators where available.
- Our point-in-time economics content helps analysts, economists, quantitative teams and risk professionals compare historical releases with later revisions. We enable customers to test models, monitor data surprises and assess how changing economic information may have influenced market performance.
- LSEG structures the dataset with reusable internal identifiers and PermID-related metadata, supported by a data dictionary summary of 197 rows. We standardise and curate the content to support integration into research platforms, forecasting models, analytics environments and enterprise data workflows.
Accessing the dataset
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