Survey Indicators
Seasonally Adjusted

The Empire State Manufacturing Survey indicates that manufacturing activity expanded in New York State in January. The general business conditions index climbed five points to 13.5. The new orders index rose eight points to 13.7 and the shipments index inched up to 21.7. The prices paid index was positive and slightly higher than it was last month while the prices received index jumped twenty points to 23.1, indicating a significant pickup in selling prices. Employment indexes were positive and higher, pointing to higher employment levels and a longer average workweek. Future indexes conveyed a high degree of optimism about the six-month outlook, with the future general business conditions index rising nine points to 54.9, its highest level since January 2011.

On a series of supplementary survey questions, 51 percent of respondents indicated that they expect their workforces to increase over the next six to twelve months, while just 9 percent predicted declines in the total number of workers—results noticeably more positive than in the June 2011 survey. The current results were slightly more positive for larger establishments (150 or more employees) than for smaller ones. High expected sales growth was widely deemed to be the most important factor among those who planned to add workers. When asked about anticipated changes in wages per worker, 80 percent of respondents indicated that wages would increase by less than 5 percent and almost all of the remaining 20 percent said wages would stay about the same. When asked about changes in benefits per worker, however, a sizable proportion, 37 percent, estimated that increases would exceed 5 percent.

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Historical Reports ››

Charts of diffusion indexes (past 12 months)

Historical Tables

Diffusion Indexes
Seasonally adjusted: txt | csv
Not seasonally adjusted: txt | csv
Data definitions 2 pages / 10 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 survey 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))

Seasonal factors are available here
Data definitions 2 pages / 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