Business Confidence in the United States increased to 49 points in June from 48.50 points in May of 2025. This dataset provides the latest reported value for - United States ISM Purchasing Managers Index (PMI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

ISM Manufacturing New Orders in the United States decreased to 46.40 points in June from 47.60 points in May of 2025. This dataset includes a chart with historical data for the United States ISM Manufacturing New Orders.

ISM Manufacturing Prices in the United States increased to 69.70 points in June from 69.40 points in May of 2025. This dataset includes a chart with historical data for the United States ISM Manufacturing Prices Paid.

In May 2025, the value of the Service Purchasing Managers' Index in the United States stood at ****. An indicator of the economic health of the service sector, the Services Purchasing Managers' Index is based on four major indicators: business activity, new orders, employment, and supplier deliveries. An index value above ** percent indicates a positive development in the service sector, whereas a value below ** percent indicates a negative situation. Purchasing Managers' Index The Purchasing Manager's Index is a strong indicator of an economic sector's health. The PMI is based on a survey that is sent to more than *** companies in ** primary industries, which are weighted by their overall contribution to the nation's GDP. The industries are organized into economic sectors to construct a PMI relevant to each sector, such as construction being in the manufacturing sector. In 2021, the construction industry added ***** billion U.S. dollars to the Gross Domestic Product (GDP) of the United States. A high contribution to the GDP by an industry generally helps increase the value of the sector's PMI. As of April 2024, the manufacturing PMI indicated a negative situation at ****. The Service Sector The service sector, or tertiary sector, is the section of the economy that deals with the production of services rather than the production of goods or extraction of materials. Within the service sector are many industries such as banking and financial services, construction, education, transportation, hospitality, communication, real estate, information technology, legal services, and more. Unlike the Manufacturing PMI, the Service PMI is based on only four major indicators: business activity, new orders, employment, and supplier deliveries. As a sector that largely relies on human interaction, the service sector was particularly affected by the 2020 COVID-19 pandemic. However, the Services Employment Index, which shows the employment indicator of the Service PMI, was trending upwards over the summer months of 2022. As of March 2023 the SEI decreased to ****.

The Arizona Molecular ISM Survey with the SMT (AMISS) is an extra-galactic survey of the CO(1-0), CO(2-1) and CO(3-2) spectral lines designed to constrain molecular gas properties of redshift zero galaxies by emperically calibrating the relationship between the CO spectral lines and molecular gas mass, temperature, and density.

Details of the survey can be found in the paper "The Arizona Molecular ISM Survey with the SMT: Survey Overview and Public Data Release" by Ryan P. Keenan, Daniel P. Marrone, Garret K. Keating et al.

This data release contains the following files:

• amiss_spectra_data.tar.gz - compressed folder containing all CO(1-0), CO(2-1) and CO(3-2) spectra observed by AMISS. Files are named following the convetion AMISS.{ID}_CO{line} where ID is replaced with the AMISS survey ID number of each target and {line} is replaced by 10, 21, or 32 for CO(1-0), CO(2-1) and CO(3-2) respectively
• amiss_figure_gallery.tar.gz - plots showing the SDSS images and all available CO spectra of each target. These are also available as an online figure set in the published survey paper.
• amiss_catalog.txt - machine readable table (MRT) of basic galaxy properties, CO luminosities, and CO line ratios for each target (Table 6 in the accepted manuscript).

All redshift information comes from Saintonge, A. et al. (2017) [2017ApJS..233...22S]; also available in the associated VizieR table (J/ApJS/233/22). All redshifts are spectroscopic. For sources where the CO(1-0) line is detected the value is the redshift derived from that line (column zCO in J/ApJS/233/22). Otherwise they are optical redshifts from SDSS (column zSDSS in J/ApJS/233/22).

In April 2025, the value of the Manufacturing Purchasing Leaders' Index (PLI) in the United States stood at ****. An indicator of the economic health of the manufacturing sector, the Purchasing Leaders' Index is based on five major indicators: new orders, inventory levels, production, supplier deliveries and the employment environment. An index value above ** percent indicates a positive development in the manufacturing sector, whereas a value below ** percent indicates a negative situation.

The Southern HII Region Discovery Survey is an Australia Telescope Compact Array 4-6 and 8-10 GHz radio continuum and radio recombination line survey of Milky Way HII regions (Wenger et al., 2021). This data archive contains all relevant intermediate data products from the final SHRDS data release (the Full Catalog). For each observed HII region and calibrator field, this archive contains (1) a 4 GHz bandwidth, full-Stokes, multi-scale, multi-frequency synthesis (MS-MFS) continuum FITS image, (2) up to sixteen 256 MHz bandwidth, full-Stokes, MS-MFS continuum FITS images covering the full 4 GHz bandwidth, (3) a Stokes I MS-MFS FITS image of each RRL transition, (4) a Stokes I multi-scale FITS data cube of each RRL transition, and (5) a FITS image containing the watershed segmentation region for each identified HII region at each observed frequency. The archive also includes the relevant residual images/cubes and primary beam images for all of these data products, as well as all of the images and cubes smoothed to a common angular resolution. Lineage: Australia Telescope Compact Array project code C2842 and C2963. See Wenger et al. 2021.

ISM Manufacturing Employment in the United States decreased to 45 points in June from 46.80 points in May of 2025. This dataset includes a chart with historical data for the United States ISM Manufacturing Employment.

The Radio Ammonia Mid-Plane Survey (RAMPS) is a Galactic plane molecular line survey in the 1st quadrant of the Milky Way. We perform RAMPS observations with the 100-meter Green Bank Telescope in Green Bank, West Virginia. The purpose of RAMPS is to provide a large sample of dense molecular clumps to help us better understand the formation of high-mass stars. RAMPS primarily targets the NH3(1,1)-(5,5) inversion transitions, which trace dense gas, and the H2O maser transition at 22.235 GHz, which traces sites of active star formation. RAMPS has completed its pilot survey, having mapped 6.5 degrees2 in fields centered at Galactic longitudes l = 10˚, 23˚, 24˚, 28˚, 29˚, 30˚, 31˚, 38˚, 45˚, and 47˚. The pilot data is comprised of 6 zip files, each representing a contiguous portion of the pilot survey. Each zip file then contains 26 FITS files, which consist of the processed data cubes of NH3(1,1), (2,2), and H2O, maps of the zeroth and first moment for these lines, maps of the NH3(1,1) optical depth, the NH3 rotational temperature, the total NH3 column density, the NH3 line width, the velocity, and the filling fraction. The RAMPS project is funded by the National Science Foundation.

ISM Non Manufacturing New Orders in the United States increased to 51.30 points in June from 46.40 points in May of 2025. This dataset includes a chart with historical data for the United States ISM Non-Manufacturing New Orders.

United States Leading Index: US data was reported at 1.718 % in Feb 2020. This records an increase from the previous number of 1.573 % for Jan 2020. United States Leading Index: US data is updated monthly, averaging 1.536 % from Jan 1982 (Median) to Feb 2020, with 458 observations. The data reached an all-time high of 3.355 % in Nov 1983 and a record low of -2.654 % in Mar 2009. United States Leading Index: US data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s United States – Table US.S012: State Leading Index. The data predicts the six-month growth rate of the state’s coincident index. In addition to the coincident index, the models include other variables that lead the economy such as the state-level housing permits (1 to 4 units), initial unemployment insurance claims, delivery times from the Institute for Supply Management (ISM) manufacturing survey, and the interest rate spread between the 10-year Treasury bond and the 3-month Treasury bill. Given the sudden, extreme impact of the COVID-19 outbreak on initial unemployment claims in recent weeks, Federal Reserve Bank of Philadelphia researchers’ standard approach for estimating the six-month change in coincident indexes is not appropriate. Therefore, they suspended the release of the state leading indexes indefinitely.

This map shows tax parcels of interest within the context of the Intermunicipal Shoreline Management project, in the towns of Provincetown, Truro, Wellfleet and Eastham, MA. Tax parcels were developed from existing digital data that is maintained on MassGIS (see MassGIS Data: Standardized Assessors" Parcels). Geometry and attribute data was compiled for the planning area (parcels intersecting the project extent) in October of 2020 and updated in 2025. This dataset is appropriate for planning purposes only, field survey required. Last Updated 06/2025.

The Survey of Ionized Gas of the Galaxy, Made with the Arecibo telescope (SIGGMA) provides a fully-sampled view of the radio recombination line (RRL) emission from the portion of the Galactic plane visible by Arecibo. Observations use the Arecibo L-band Feed Array (ALFA), which has a FWHM beam size of 3 0 .4. Twelve hydrogen RRLs from H163α to H174α are located within the
instantaneous bandpass from 1225 MHz to 1525 MHz. We provide here cubes of average (“stacked”) RRL emission for the inner Galaxy region 32 ◦ ≤ ` ≤ 70 ◦ , |b| ≤ 1.5 ◦ , with an angular resolution of 6 0 . The stacked RRL rms at 5.1 km s⁻¹ velocity resolution is ∼ 0.65 mJy beam⁻¹ , making this the most sensitive large-scale fully-sampled RRL survey extant. We use SIGGMA data to catalogue 319 RRL detections in the direction of 244 known H ii regions, and 108 new detections in the direction of 79 HII region candidates. We identify 11 Carbon RRL emission regions, all of which are spatially coincident with known H ii regions. We detect RRL emission in the direction of 14 of the 32 supernova remnants (SNRs) found in the survey area.

2,58 (%) in febrero de 2020. The Federal Reserve Bank of Philadelphia produces leading indexes for each of the 50 states. The indexes are calculated monthly and are usually released a week after the release of the coincident indexes. The Bank issues a release each month describing the current and future economic situation of the 50 states with special coverage of the Third District: Pennsylvania, New Jersey, and Delaware. The leading index for each state predicts the six-month growth rate of the state’s coincident index. In addition to the coincident index, the models include other variables that lead the economy: state-level housing permits (1 to 4 units), state initial unemployment insurance claims, delivery times from the Institute for Supply Management (ISM) manufacturing survey, and the interest rate spread between the 10-year Treasury bond and the 3-month Treasury bill. A time-series model (vector autoregression) is used to construct the leading index. Current and prior values of the forecast variables are used to determine the future values of the index.

ISM Non Manufacturing Prices in the United States decreased to 67.50 points in June from 68.70 points in May of 2025. This dataset includes a chart with historical data for the United States ISM Non-Manufacturing Prices.

1.21 (%) in 2020年2月. The Federal Reserve Bank of Philadelphia produces leading indexes for each of the 50 states. The indexes are calculated monthly and are usually released a week after the release of the coincident indexes. The Bank issues a release each month describing the current and future economic situation of the 50 states with special coverage of the Third District: Pennsylvania, New Jersey, and Delaware. The leading index for each state predicts the six-month growth rate of the state’s coincident index. In addition to the coincident index, the models include other variables that lead the economy: state-level housing permits (1 to 4 units), state initial unemployment insurance claims, delivery times from the Institute for Supply Management (ISM) manufacturing survey, and the interest rate spread between the 10-year Treasury bond and the 3-month Treasury bill. A time-series model (vector autoregression) is used to construct the leading index. Current and prior values of the forecast variables are used to determine the future values of the index.

The four adjacent Outer Cape communities of Eastham, Truro, Provincetown, and Wellfleet have built an intermunicipal partnership to pursue a regional approach to shoreline management. This partnership promotes short- and long-term science-based decisions that will maximize the effectiveness and efficiency of community responses to the increased threat of coastal hazards. This layer is a product of that partnership, the Intermunicipal Shoreline Management Project, a project first initiated in 2019 with funding from CZM's Coastal Resilience Grant Program.Historical and contemporary salt marsh extents were used to locate salt marsh that persisted between 1933 and 2018 as well as those areas of salt marsh loss and gain. The used historical delineation is based on 1:10,000 and 1:20,000 scale U.S. Coast & Geodetic Survey topographic data from 1933, 1934 and 1938-43. The used contemporary delineation is based on photointerpretation and image classification of salt marsh vegetation from 60 cm resolution, 4-band, digital georectified images acquired by the National Agriculture Imagery Program (NAIP) in August of 2018.

2.43 (%) in 2020年2月. The Federal Reserve Bank of Philadelphia produces leading indexes for each of the 50 states. The indexes are calculated monthly and are usually released a week after the release of the coincident indexes. The Bank issues a release each month describing the current and future economic situation of the 50 states with special coverage of the Third District: Pennsylvania, New Jersey, and Delaware. The leading index for each state predicts the six-month growth rate of the state’s coincident index. In addition to the coincident index, the models include other variables that lead the economy: state-level housing permits (1 to 4 units), state initial unemployment insurance claims, delivery times from the Institute for Supply Management (ISM) manufacturing survey, and the interest rate spread between the 10-year Treasury bond and the 3-month Treasury bill. A time-series model (vector autoregression) is used to construct the leading index. Current and prior values of the forecast variables are used to determine the future values of the index.

2,07 (%) in fevereiro de 2020. The Federal Reserve Bank of Philadelphia produces leading indexes for each of the 50 states. The indexes are calculated monthly and are usually released a week after the release of the coincident indexes. The Bank issues a release each month describing the current and future economic situation of the 50 states with special coverage of the Third District: Pennsylvania, New Jersey, and Delaware. The leading index for each state predicts the six-month growth rate of the state’s coincident index. In addition to the coincident index, the models include other variables that lead the economy: state-level housing permits (1 to 4 units), state initial unemployment insurance claims, delivery times from the Institute for Supply Management (ISM) manufacturing survey, and the interest rate spread between the 10-year Treasury bond and the 3-month Treasury bill. A time-series model (vector autoregression) is used to construct the leading index. Current and prior values of the forecast variables are used to determine the future values of the index.

An Open Context "predicates" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This "Variables" record is part of the "Illinois Site Files" data publication.