Getting Benchmark Revisions for Economic Indicator

Hello,

When the US Jobs report (RIC: USNFAR=ECI) is released, they also send in revisions for prior months along with new data for the month. We noticed that the values in get_history call from LSEG python library does not reflect these revisions for prior months for few hours… today the values were updated 2-3 hours after the initial release. When we use get_history, we just specify the ric and do not include additional parameters.

Is there a way to ensure we get the revisions in a timely manner? Are there parameters we need to consider? Or is there a way to use get_data and get more than this and prior month's data?

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raksina.samasiri

Hi @iris_lee ,

The value can be retrieved with get_data function with the code below

# Retrieve data point on each Economic Indicator

import lseg.data as ld

import pandas as pd

ld.open_session()


fields = ['TR.IndicatorName','TR.IndicatorType','TR.IndicatorSource'

          ,'ECI_ACT_DT' # GMT Date

          ,'ACT_VAL_NS' # Time

          ,'FCAST_PRD' # Period

          ,'ECON_ACT' # Actual

          ,'RTR_POLL' # Reuters Poll

          ,'ECON_PRIOR' # Prior

          ,'ECON_REV' # Revised

         ]

df = ld.get_data(

    universe='USNFAR=ECI',

    fields=fields

)

df

Regarding the delay of the data raise a content query ticket at Home | LSEG Support

iris_lee

https://community.developers.refinitiv.com/discussion/comment/127780#Comment_127780

Hi - thanks but unfortunately this does not answer my question and the values that this block of code is pulling is not what I am asking about. Please let me clarify - the ECON_PRIOR number (which covers the July 2025 period) was revised when the August numbers were released … to 79K from 73K.

When the new values are released- two prior period values are revised as well. I've attached the screenshot of what I'm seeing on my Refinitive desktop. While we are able to pull the 22K number for August, we were not able to pull the revisions for July and June - (79K and -13K) respectively. What I was asking about was that when we use get_history to pull those numbers, they were not reflecting the recent changes for at least 2 hours or so.

Is there a way to pull the July and June revised numbers in a timely manner using get_data?

Jirapongse

@iris_lee

I ran this code and got the following data.

The get_history method can be used to get historical data of the real-time fields while the get_data method can be used to get historical data of the TR.xxx fields.

The library constructs a request message and sends it to an endpoint for processing. It then retrieves the server's response and re-formats it as needed.

You need to contact the Workspace Excel team and ask for the formula that can be used to retrieve the required data. Then, we can help you converting it to the Python code.

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