Empire State Manufacturing Survey

The monthly survey of manufacturers in New York State conducted by the Federal Reserve Bank of New York.

The Supplemental Survey Report on the expected changes in workforce will be released November 16 at 8:30 a.m.

Download the full report PDF

Business activity stabilized in New York State, according to firms responding to the November 2016 Empire State Manufacturing Survey. The headline general business conditions index climbed out of negative territory for the first time in four months, rising eight points to 1.5. The new orders and shipments indexes also turned positive, rising to 3.1 and 8.5, respectively. Labor market conditions remained weak, with the number of employees and average workweek indexes both at -10.9. The inventories index fell eleven points to -23.6, pointing to a marked decline in inventory levels. Although price indexes were lower, they remained positive, suggesting a slower pace of growth in both input prices and selling prices. Indexes for the six-month outlook conveyed somewhat less optimism about future conditions than in October.

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Released at 8:30 a.m.


2016
JAN
FEB
MAR
APR
15 report PDF
16 report PDF
15 report PDF
MAY
JUN
JUL
AUG
SEP
OCT
NOV
DEC
15


2017
JAN
FEB
MAR
APR
17
15
15 
17
MAY
JUN
JUL
AUG
15
15
17
15
SEP
OCT
NOV
DEC
15
16
15
15

Historical Reports ››
Please note that there are minor changes to the Empire State Manufacturing Survey with the October release. The text files have been discontinued, the header row has been removed from the CSV files, the order of some variables are changed, and results are now reported to one decimal place instead of two. Questions or feedback can be sent to Richard Deitz (richard.deitz@ny.frb.org) or Jason Bram (jason.bram@ny.frb.org).
 
Historical Tables
Diffusion Indexes
Seasonally adjusted: csv
Not seasonally adjusted: csv
Data definitions PDF 2 pages / 10 kb
All Data
Seasonally adjusted: csv
Not seasonally adjusted: csv
Data definitions PDF 2 pages / 10 kb
Seasonal Factors
Seasonal factors: csv
Data definitions PDF 2 pages / 15 kb

Participants from across the state in a variety of industries respond to a questionnaire and report the change in a variety of indicators from the previous month. Respondents also state the likely direction of these same indicators six months ahead. April 2002 is the first report, although survey data date back to July 2001.

The survey is sent on the first day of each month to the same pool of about 200 manufacturing executives in New York State, typically the president or CEO. About 100 responses are received. Most are completed by the tenth, although surveys are accepted until the fifteenth.

For demonstration only:

Sample surveyPDF 1 page / 44 kb

Respondents come from a wide range of industries from across the New York State. No one industry dominates the respondent pool.

The survey's main index, general business conditions, is not a weighted average of other indicators—it is a distinct question posed on the survey. Each index is seasonally adjusted when stable seasonality is detected.

Revisions
Each January, all data undergo a benchmark revision to reflect new seasonal factors.

Seasonal Adjustment

The Empire State Manufacturing Survey seasonally adjusts data based on the Census X-12 additive procedure utilizing a logistic transformation.

The "increase" and "decrease" percentage components of the diffusion indexes are each tested for seasonality separately and adjusted accordingly if such patterns exist. If no seasonality is detected, the component is left unadjusted. The "no change" component contains the residual, computed by subtracting the (adjusted) increase and decrease from 100. Seasonal factors are forecast in December for the upcoming year.

Data are adjusted using a logistic transformation. The not-seasonally adjusted series, expressed in decimal form (referred to as "p"), is transformed using the following equation:

X = log(p/(1-p))

The seasonal factor is then subtracted from X:

adjX = X - seasonal factor

The result is then transformed using the following equation:

SA Series = exponential(adjX)/(1+exponential(adjX))

To view the Seasonal Factors data, please click on the “Data & Charts” tab.



Data definitionsPDF 1 page / 15 kb

Contacts
Tech help: nyrsf.webteam@ny.frb.org
Questions about survey/data: richard.deitz@ny.frb.org or (716) 849-5025; jason.bram@ny.frb.org or (212) 720-5651

Tools
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