In October 2024, the value of the Service Purchasing Managers' Index in the United States stood at 56. 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 50 percent indicates a positive development in the service sector, whereas a value below 50 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 400 companies in 19 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 958.8 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 49.2. 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 51.3.

ISM Manufacturing New Orders in the United States decreased to 48.60 points in February from 55.10 points in January of 2025. This dataset includes a chart with historical data for the United States ISM Manufacturing New Orders.

In October 2024, the value of the Manufacturing Purchasing Managers' Index (PMI) in the United States stood at 46.5. An indicator of the economic health of the manufacturing sector, the Purchasing Managers' Index is based on five major indicators: new orders, inventory levels, production, supplier deliveries and the employment environment. An index value above 50 percent indicates a positive development in the manufacturing sector, whereas a value below 50 percent indicates a negative situation.

In February 2025, the Purchasing Managers' Index (PMI) in China resided at about 50.2 percent. An indicator of the economic health of the manufacturing sector, the PMI is based on five major indicators: new orders, inventory levels, production, supplier deliveries, and the employment environment. An index value above 50 percent indicates a positive development in the industrial sector, whereas a value below 50 percent indicates a negative situation. The PMI as a major economic indicator The Purchasing Managers' Index was first introduced by the US-based Institute of Supply Management in 1948. It has become one of the most widely used and closely watched indicators of business activities worldwide. The PMI is not only an apt indicator for manufacturing growth, it also supports interest rate decisions of central bank institutions. PMI figures around the globe were dominated by the COVID-19 pandemic in 2020. In the Euro area, the PMI recovered from a considerable drop in April 2020, regaining pre-crisis level in June. In the United States, the monthly PMI indicated an even better improvement from low values in April and March. Recent PMI development in China As is shown in the graph at hand, the PMI of China as the world’s second-largest economy dropped considerably in February 2020 due to the coronavirus pandemic. In March, the index indicated a striking rebound and ranged at a level slightly above 50 index points afterwards. During 2021, the index was characterized by a slightly downward trend. In 2022, the index displayed an unstable development with two significant dips in April and December, finally concluding with a strong rebound in January 2023. The non-manufacturing PMI in China displayed a similar development.

This dataset provides values for MANUFACTURING PMI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

ISM Manufacturing Backlog of Orders in the United States increased to 46.80 points in February from 44.90 points in January of 2025. This dataset includes a chart with historical data for the United States ISM Manufacturing Backlog of Orders.

This dataset provides values for MANUFACTURING PMI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In October 2024, the value of the Manufacturing Supplier Deliveries Index in the United States stood at 52, a decrease from the previous month. An index value above 50 percent indicates a positive development in the manufacturing sector supplier deliveries, whereas a value below 50 percent indicates a negative situation.

ISM Manufacturing Inventories in the United States increased to 49.90 points in February from 45.90 points in January of 2025. This dataset includes a chart with historical data for the United States ISM Manufacturing Inventories.

This dataset provides values for MANUFACTURING PMI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

2,58 (%) in Februar 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.

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.

1,21 (%) 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.

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.

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.

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.

2,69 (%) 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.

This dataset provides values for NON MANUFACTURING PMI reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In October 2024, the value of the Manufacturing Backlog of Orders Index in the United States stood at 42.3 percent. The Backlog of Orders Index represents the share of orders that businesses have received but have yet to start or finish. An increasing index value usually indicates growth in business but shows that output is below its maximum potential.

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 shapefile 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 ProgramThis historical salt marsh delineation is based on U.S. Coast & Geodetic Survey (USC&GS) topographic data from 1933, 1934 and 1938-43. The 1933/34 topographic information was compiled from USC&GS field surveys while 1938 information was compiled by USC&GS using aerial photographs. Georeferenced USC&GS topographic sheets (registration residuals between 3 and 5 meters) were used to manually digitize salt marsh extents using 1:20,000 scale (No. T-6033, T-6034, T-6112) and 1:10,000 scale (No. T-5731, T-5732, T-5733, T-5734, T-5735) symbology. Shoreline features representing the mean high-water line and apparent shoreline were digitized as well as vegetation features representing the limits of marsh and grass in water.