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The monthly survey of manufacturers in New York State conducted by the Federal Reserve Bank of New York.
Note: Data have undergone an annual benchmark revision. Historical data have been revised to reflect new seasonal factors.
Business activity grew slightly in New York State, according to firms responding to the January 2019 Empire State Manufacturing Survey. The headline general business conditions index fell eight points to 3.9, its lowest level in well over a year. New orders increased at a slower pace than in recent months, while shipments continued to climb significantly. Delivery times were slightly shorter, and inventories declined. Labor market indicators pointed to a modest increase in employment and hours worked. The prices paid index moved lower for a second consecutive month, indicating some slowing in input price increases, and the prices received index held steady. Looking ahead, firms were less optimistic about the six-month outlook than they were last month.
Manufacturing firms in New York State reported that business activity expanded slightly. The general business conditions index fell eight points to 3.9, its lowest reading since mid-2017. The headline index has fallen a cumulative eighteen points since November. Twenty-three percent of respondents reported that conditions had improved over the month, while 20 percent reported that conditions had worsened. The new orders index fell ten points to 3.5, indicating that growth in orders slowed significantly, while the shipments index was little changed at 17.9. Unfilled orders were somewhat lower, inventories declined, and delivery times were slightly shorter.
The index for number of employees fell ten points but remained positive at 7.4, indicating a modest increase in employment levels, while the average workweek index held steady at 6.8. The prices paid index moved lower for a second consecutive month, its four-point decline to 35.9 pointing to a slight deceleration in input price increases. The prices received index was little changed at 13.1.
Firms were less optimistic about the six-month outlook than in recent months. The index for future business conditions fell thirteen points to 17.8, and the indexes for future new orders and shipments also declined. Firms expected employment to increase modestly. The capital expenditures index fell thirteen points to 17.9, and the technology spending index moved down six points to 20.0.
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
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15 report
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Historical Reports ››
Latest Report including charts of diffusion indexes 
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))
To view the Seasonal Factors data, please click on the “Data & Charts” tab.
Data definitions
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
