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The monthly survey of manufacturers in New York State conducted by the Federal Reserve Bank of New York.
Business activity was little changed in New York State, according to firms responding to the September 2019 Empire State Manufacturing Survey. The headline general business conditions index edged down three points to 2.0. New orders were marginally higher than last month, and shipments grew modestly. Delivery times were steady, and inventories increased. Employment levels expanded, while the average workweek held steady. Both input prices and selling prices increased at a faster pace than last month. Indexes assessing the six-month outlook indicated that optimism about future conditions deteriorated noticeably, and capital spending plans weakened markedly.
Manufacturing firms in New York State reported that business activity was little changed from last month. The general business conditions index moved down three points to 2.0. Twenty-seven percent of respondents reported that conditions had improved over the month, while 25 percent reported that conditions had worsened. The new orders index fell three points to 3.5, pointing to a small increase in orders. The shipments index fell four points to 5.8, its lowest level in nearly three years. The unfilled orders index remained negative for a fourth consecutive month, indicating that unfilled orders continued to decline. Delivery times were steady, and inventories climbed.
After spending three months in negative territory, the index for number of employees rose to 9.7, pointing to an increase in employment levels, while the average workweek index came in at 1.7, indicating little change in hours worked. Prices increased at a faster pace than last month: the prices paid index moved up six points to 29.4, and the prices received index climbed five points to 9.2.
Indexes assessing the six-month outlook suggested that optimism about future conditions waned. The index for future business conditions fell twelve points to 13.7. The indexes for future new orders and shipments also moved lower. Firms expected increases in employment levels but no change in the average workweek in the months ahead. The capital expenditures index plunged nineteen points to 4.6, its lowest level in three years, and the technology spending index fell to 6.5, also a multi-year low.
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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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
