manufacturing_outlook_ny
Get the Empire State Manufacturing Survey.
It is a monthly survey of manufacturers in New York State conducted by the Federal Reserve Bank of New York.
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.
Parameters
- standard
- fred
start_date: Union[date, str]
Start date of the data, in YYYY-MM-DD format.
• Optional: True
end_date: Union[date, str]
End date of the data, in YYYY-MM-DD format.
• Optional: True
start_date: Union[date, str]
Start date of the data, in YYYY-MM-DD format.
• Optional: True
end_date: Union[date, str]
End date of the data, in YYYY-MM-DD format.
• Optional: True
topic: Union[Union[Literal['business_outlook', 'hours_worked', 'employment', 'inventories', 'prices_received', 'prices_paid', 'capex', 'unfilled_orders', 'new_orders', 'shipments', 'delivery_times'], str], list[Union[Literal['business_outlook', 'hours_worked', 'employment', 'inventories', 'prices_received', 'prices_paid', 'capex', 'unfilled_orders', 'new_orders', 'shipments', 'delivery_times'], str]]]
The topic for the survey response. Multiple items allowed for provider(s): fred.
• Default: new_orders
• Optional: True
seasonally_adjusted: bool
Whether the data is seasonally adjusted, default is False
• Default: False
• Optional: True
frequency: Literal['quarter', 'annual']
Frequency aggregation to convert monthly data to lower frequency. None is monthly.
• Optional: True
aggregation_method: Literal['avg', 'sum', 'eop']
Description
A key that indicates the aggregation method used for frequency aggregation.
avg = Average
sum = Sum
eop = End of Period
• Optional: True
transform: Literal['chg', 'ch1', 'pch', 'pc1', 'pca', 'cch', 'cca', 'log']
Description
Transformation type
None = No transformation
chg = Change
ch1 = Change from Year Ago
pch = Percent Change
pc1 = Percent Change from Year Ago
pca = Compounded Annual Rate of Change
cch = Continuously Compounded Rate of Change
cca = Continuously Compounded Annual Rate of Change
log = Natural Log
• Optional: True
Returns
results: list[ManufacturingOutlookNY]
Serializable results.
provider: Optional[Literal['fred']]
Provider name.
warnings: Optional[list[Warning_]]
list of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.
Data
- standard
- fred
date: Union[date, str]
The date of the data.
topic: str
Topic of the survey response.
diffusion_index: float
Diffusion Index.
percent_reporting_increase: float
Percent of respondents reporting an increase over the last month.
percent_reporting_decrease: float
Percent of respondents reporting a decrease over the last month.
percent_reporting_no_change: float
Percent of respondents reporting no change over the last month.
date: Union[date, str]
The date of the data.
topic: str
Topic of the survey response.
diffusion_index: float
Diffusion Index.
percent_reporting_increase: float
Percent of respondents reporting an increase over the last month.
percent_reporting_decrease: float
Percent of respondents reporting a decrease over the last month.
percent_reporting_no_change: float
Percent of respondents reporting no change over the last month.