PCE Price Index Annual Change in the United States remained unchanged at 2.60 percent in July. This dataset includes a chart with historical data for the United States PCE Price Index Annual Change.

Core PCE Price Index Annual Change in the United States increased to 2.90 percent in July from 2.80 percent in June of 2025. This dataset includes a chart with historical data for the United States Core Pce Price Index Annual Change.

View data of PCE, an index that measures monthly changes in the price of consumer goods and services as a means of analyzing inflation.

PCE Price Index in the United States increased to 126.78 points in July from 126.53 points in June of 2025. This dataset provides the latest reported value for - United States Personal Consumption Expenditure Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Personal Consumption Expenditures: Chain-type Price Index (PCEPI) from Jan 1959 to Jul 2025 about chained, headline figure, PCE, consumption expenditures, consumption, personal, inflation, price index, indexes, price, and USA.

PCE Price Index Monthly Change in the United States increased to 0.30 percent in June from 0.20 percent in May of 2025. This dataset includes a chart with historical data for the United States PCE Price Index Monthly Change.

Graph and download economic data for Personal Consumption Expenditures Excluding Food and Energy (Chain-Type Price Index) (PCEPILFE) from Jan 1959 to Jul 2025 about core, chained, headline figure, energy, PCE, consumption expenditures, consumption, personal, inflation, price index, indexes, price, and USA.

Core PCE Price Index MoM in the United States remained unchanged at 0.30 percent in July. This dataset includes a chart with historical data for the United States Core Pce Price Index MoM.

PCE Prices QoQ in the United States decreased to 2 percent in the second quarter of 2025 from 3.70 percent in the first quarter of 2025. This dataset includes a chart with historical data for the United States PCE Prices QoQ.

This GIS layer is based on a SQL query of the groundwater HAZSITE data that resides in COMPASS for each active Site Remediation case. Once the raw groundwater HAZSITE data is extracted from COMPASS, it is summarized such that a maximum concentration for the contaminant is derived for the year preceeding the last sampling event (samp_last_max_conc) and a maximum concentration is also generated for all sampling events (all_max_conc) . Each active Site Remediation case is included in the GIS layer. The GIS layer symbology is based on the the maximum concentration for the year preceeding the last sampling event for that contaminant as summarized in the evaluation field and further categorized in the s_value field. Symbology is represented as follows: no data submitted, not sampled, non-detect (ND), detected below standard, reporting limit > standard, 1 - 10 times the standard, 10 - 100 times the standard, 100 - 1000 times the standard and greater than 1000 times the standard. The standard is the NJDEP Ground Water Quality Standard and/or MCL for this contaminant. For the HAZSITE data, there are a number of considerations that need to be taken into account when using this GIS layer for decision making purposes:- Not all SRP cases have provided HAZSITE data to the Department or HAZSITE data that has been provided to the Department may be incomplete;- Additional sampling may have been conducted since the last round of HAZSITE data was submitted that has not yet been provided as HAZSITE data is only required with key document submittals;- HAZSITE data that was submitted may not have been provided in the correct format and therefore could not be uploaded into the COMPASS data repository and would therefore not be returned via the COMPASS SQL query.

This GIS layer is based on a SQL query of the groundwater HAZSITE data that resides in COMPASS for each active Site Remediation case. Once the raw groundwater HAZSITE data is extracted from COMPASS, it is summarized such that a maximum concentration for the contaminant is derived for the year preceeding the last sampling event (samp_last_max_conc) and a maximum concentration is also generated for all sampling events (all_max_conc) . Each active Site Remediation case is included in the GIS layer. The GIS layer symbology is based on the the maximum concentration for the year preceeding the last sampling event for that contaminant as summarized in the evaluation field and further categorized in the s_value field. Symbology is represented as follows: no data submitted, not sampled, non-detect (ND), detected below standard, reporting limit > standard, 1 - 10 times the standard, 10 - 100 times the standard, 100 - 1000 times the standard and greater than 1000 times the standard. The standard is the NJDEP Ground Water Quality Standard and/or MCL for this contaminant. For the HAZSITE data, there are a number of considerations that need to be taken into account when using this GIS layer for decision making purposes:- Not all SRP cases have provided HAZSITE data to the Department or HAZSITE data that has been provided to the Department may be incomplete;- Additional sampling may have been conducted since the last round of HAZSITE data was submitted that has not yet been provided as HAZSITE data is only required with key document submittals;- HAZSITE data that was submitted may not have been provided in the correct format and therefore could not be uploaded into the COMPASS data repository and would therefore not be returned via the COMPASS SQL query.

Personal Spending in the United States increased 0.50 percent in July of 2025 over the previous month. This dataset provides the latest reported value for - United States Personal Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.