This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Surging Services: Will Dow Jones CPI Signal Continued Consumer Strength?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The median CPI is a measure of inflation computed by the Federal Reserve Bank of Cleveland. It ranks the components of CPI inflation and picks the one in the middle. Its construction makes it less sensitive to short-lived price fluctuations, thereby better capturing the trend in prices. Released monthly.

Inflation Rate in Russia decreased to 9.40 percent in June from 9.90 percent in May of 2025. This dataset provides - Russia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

United States CPI U: EC: Comm: IP: Telephone: Cellular data was reported at 47.874 Dec1997=100 in Jun 2018. This records a decrease from the previous number of 47.887 Dec1997=100 for May 2018. United States CPI U: EC: Comm: IP: Telephone: Cellular data is updated monthly, averaging 64.361 Dec1997=100 from Dec 1997 (Median) to Jun 2018, with 247 observations. The data reached an all-time high of 100.000 Dec1997=100 in Dec 1997 and a record low of 47.550 Dec1997=100 in Aug 2017. United States CPI U: EC: Comm: IP: Telephone: Cellular data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I002: Consumer Price Index: Urban. Personal wireless (also known as cellular) phone service where the telephone instrument is portable and sends and receives signals for calls through the airwaves. Services priced are primarily specific plans offered by cellular companies.

Inflation Rate in Mexico decreased to 4.32 percent in June from 4.42 percent in May of 2025. This dataset provides - Mexico Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in Canada increased to 1.90 percent in June from 1.70 percent in May of 2025. This dataset provides - Canada Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about Pakistan Consumer Price Index CPI growth

• Pakistan Consumer Price Index (CPI) growth was measured at 1.5 % YoY in Feb 2025, compared with a rate of 2.4 % in the previous month.
• Pakistan Consumer Price Index growth data is updated monthly, available from Jan 1958 to Feb 2025, with an averaged number of 7.4 % YoY.
• The data reached an all-time high of 38.0 % YoY in May 2023 and a record low of -10.3 % YoY in Feb 1959.

CEIC extends history for monthly Consumer Price Index Growth. The Pakistan Bureau of Statistics provides Consumer Price Index with base 2015-2016=100. Consumer Price Index Growth prior to July 2017 is calculated from Consumer Price Index with base 2007-2008=100. Consumer Price Index Growth prior to July 2009 is sourced from the International Monetary Fund.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Used Cars and Trucks in U.S. City Average (CUSR0000SETA02) from Jan 1953 to May 2025 about used, trucks, vehicles, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

About this Dataset

The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only. ERS's monthly update is usually released on the 25th of the month; however, if the 25th falls on a weekend or a holiday, the monthly update will be published on either the 23rd or 24th. This report provides a detailed outline of ERS's forecasting methodology, along with measures to test the precision of the estimates (May 2015). At ERS, work on the CPI for food consists of several activities. ERS reports the current index level for food, examines changes in the CPI for food, and constructs forecasts of the CPI for food for the next 12-18 months. Forecasting the CPI for food has become increasingly important due to the changing structure of food and agricultural economies and the important signals the forecasts provide to farmers, processors, wholesalers, consumers, and policymakers. As a natural extension of ERS's work with the CPI for food, ERS also analyzes and models forecasts for the Producer Price Index (PPI). The PPI is similar to the CPI in that it measures price changes over time; however, instead of measuring changes in retail prices, the PPI measures the average change in prices paid to domestic producers for their output. The PPI collects data for nearly every industry in the goods-producing sector of the economy. Changes in farm-level and wholesale-level PPIs are of particular interest in forecasting food CPIs. cpi

Category

Economic

Keywords

cpi,restaurant,wholesale-food-prices

Row Count

68

Price

Free

Inflation Rate in Ghana decreased to 13.70 percent in June from 18.40 percent in May of 2025. This dataset provides - Ghana Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Recent studies reported that cytoplasmic dsDNA-induced activation of cyclic GMP-AMP synthase (cGAS)/stimulator of interferon genes (STING) signaling has tremendous potential for antitumor immunity by inducing the production of type I Interferon (IFN), resulting in activation of both innate and adaptive immunity. However, the potential role of STING signaling in modulating immunological checkpoint inhibitor (CPI) therapeutic efficacy remains unexplored. In this research, we employed the single-sample gene set enrichment analysis (ssGSEA) algorithm to calculate the enrichment score of STING signaling across 15 immunotherapy cohorts, including melanoma, lung, stomach, urothelial, and renal cancer. Logistic and Cox regression models were utilized to investigate the association between STING signaling and checkpoint inhibitor therapeutic response. Furthermore, we evaluated the tumor immunogenicity of STING1 molecule expression in the Cancer Genome Atlas (TCGA) pan-cancer datasets. STING signaling was associated with improved immune response in the Mariathasan2018_PD-L1, Gide2019_combined, Jung2019_PD-1/L1, and Gide2019_PD-1 datasets and with prolonged overall survival in the Gide2019_PD-1, Nathanson2017_post, Jung2019_PD-1/L1, and Mariathasan2018_PD-L1 datasets. However, the Braun_2020_PD-1 cohort exhibited worse prognosis outcomes in the high STING signaling subgroup. Our study extended the molecular knowledge of STING signaling activation in regulating the antitumor immune response and provided clinical clues about the combination treatments of STING agonists and CPIs for improving tumor therapeutic efficacy.

Permits issued by the Department of Buildings in the City of Chicago from 2006 to the present. The dataset for each year contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. Data fields requiring description are detailed below. PERMIT TYPE: "New Construction and Renovation" includes new projects or rehabilitations of existing buildings; "Other Construction" includes items that require plans such as cell towers and cranes; "Easy Permit" includes minor repairs that require no plans; "Wrecking/Demolition" includes private demolition of buildings and other structures; "Electrical Wiring" includes major and minor electrical work both permanent and temporary; "Sign Permit" includes signs, canopies and awnings both on private property and over the public way; "Porch Permit" includes new porch construction and renovation (defunct permit type porches are now issued under "New Construction and Renovation" directly); "Reinstate Permit" includes original permit reinstatements; "Extension Permits" includes extension of original permit when construction has not started within six months of original permit issuance. WORK DESCRIPTION: The description of work being done on the issued permit, which is printed on the permit. PIN1 – PIN10: A maximum of ten assessor parcel index numbers belonging to the permitted property. PINs are provided by the customer seeking the permit since mid-2008 where required by the Cook County Assessor’s Office. CONTRACTOR INFORMATION: The contractor type, name, and contact information. Data includes up to 15 different contractors per permit if applicable.

Data Owner: Buildings.

Time Period: January 1, 2006 to present.

Frequency: Data is updated daily.

Related Applications: Building Data Warehouse (https://webapps.cityofchicago.org/buildingviolations/violations/searchaddresspage.html).

Consumer Price Index CPI in Canada increased to 164.40 points in June from 164.30 points in May of 2025. This dataset provides the latest reported value for - Canada Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

We report average expected inflation rates over the next one through 30 years. Our estimates of expected inflation rates are calculated using a Federal Reserve Bank of Cleveland model that combines financial data and survey-based measures. Released monthly.

The Retail Price Index (RPI) is one of the main measures of inflation used to calculate the change in the price of goods and services within the British economy. In the second quarter of 2025 the index value was 403.2, indicating that the price for a fixed basket of goods had increased by almost more than 300 percent since 1987. The RPI inflation rate for June 2025 was 4.4 percent, up from 3.2 percent in March 2025 Inflation and UK living standards For UK consumers, high inflation is one of the main drivers of the ongoing cost of living crisis. With wages struggling to keep up with the pace of inflation for a long period between 2021 and 2023, UK households saw their living standards fall significantly. In 2022/23, real household disposable income in the UK is estimated to have fallen by 2.1 percent, which was the biggest fall in living standards since 1956. While there have been some signals that the crisis eased somewhat in 2024, such as falling energy and food inflation, an increasing share of UK households have reported increasing living costs since Summer 2024. Additional inflation indicators Aside from the Retail Price Index, the UK also produces other inflation indices such as the Consumer Price Index (CPI) and the Consumer Price Index including owner occupiers' housing costs (CPIH). While these particular indices measure consumer price increases slightly differently, they both provide an overall picture of rising prices. More specific inflation rates, such as by sector, are also produced, while other indices omit certain items, such as core inflation, which excludes food and energy inflation, to provide a more stable measure of inflation.

Consumer Price Index CPI in Botswana increased to 136.90 points in June from 136.70 points in May of 2025. This dataset provides - Botswana Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this dataset

Context

The dataset illustrates the median household income in Signal Hill, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for Signal Hill decreased by $9,110 (9.61%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 4 years and declined for 7 years.

https://i.neilsberg.com/ch/signal-hill-ca-median-household-income-trend.jpeg" alt="Signal Hill, CA median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Signal Hill median household income. You can refer the same here

The inflation rate in Germany was 1.35 percent in 2019. The current rate meets the European Central Bank’s target rate, which is “below, but close to, 2 percent.” Many central bankers favor inflation between 2 and 3 percent, but Germans in particular would rather risk deflation than too much inflation.

Causes of inflation

Central bankers like low, stable inflation because this is a sign of a growing economy. When the economy grows, workers become more productive and spend more, and prices slowly rise. Monetary policy can cause inflation, but Germany has given this responsibility to the European Central Bank (ECB). Importantly, inflation expectations affect inflation, making it a self-fulfilling prophecy.

The German context

During the eurozone crisis, German politicians were advocating for the ECB to raise interest rates quickly. This would have reduced inflation, possibly causing deflation, but would have presented another hurdle for the struggling Greek economy. This is because of the hyperinflation of the Weimar Republic in the 1920s, when Germans carried their pay home in wheelbarrows because the banknotes had lost so much value. Ever since, Germans often warn that inflation harms pensioners and that personal provisions are necessary in any case. Fortunately for them, this statistic forecasts stable, modest inflation that does not alarm many economists.

Saanich Inlet has been a highly productive fjord since the last glaciation. During ODP Leg 169S, nearly 70 m of Holocene sediments were recovered from Hole 1034 at the center of the inlet. The younger sediments are laminated, anaerobic, and rich in organic material (1-2.5 wt.% Corg), whereas the older sediments below 70 mbsf are non-laminated, aerobic, with glacio-marine characteristics and have a significantly lower organic matter content. This difference is also reflected in the changes of interstitial fluids, and in biomarker compositions and their carbon isotope signals. The bacterially-derived hopanoid 17alpha(H),21beta(H)-hop-22(29)-ene (diploptene) occurs in Saanich Inlet sediments throughout the Holocene but is not present in Pleistocene glacio-marine sediments. Its concentration increases after ~6000 years BP up to present time to about 70 µg/g Corg, whereas terrigenous biomarkers such as the n-alkane C31 are low throughout the Holocene (<51 µg/g Corg) and even slightly decrease to 36 µg/g Corg at the most recent time. The increasing concentrations of diploptene in sediments younger than ~6000 years BP separate a recent period of higher primary productivity, stronger anoxic bottom waters, and higher bacterial activity from an older period with lesser activity, heretofore undifferentiated. Carbon isotopic compositions of diploptene in the Holocene are between ~31.5 and ~39.6 per mil PDB after ~6000 years BP. These differences in the carbon isotopic record of diploptene probably reflect changes in microbial community structure of bacteria living at the oxic-anoxic interface of the overlying water column. The heavier isotope values are consistent with the activity of nitrifying bacteria and the lighter isotope values with that of aerobic methanotrophic bacteria. Therefore, intermediate delta13C values probably represent mixtures between the populations. In contrast, carbon isotopic compositions of n-C31 are roughly constant at ~31.4 ± 1.1 per mil PDB throughout the Holocene, indicating a uniform input from cuticular waxes of higher plants. Prior to ~6000 years BP, diploptene enriched in 13C of up to -26.3 per mil PDB is indicative of cyanobacteria living in the photic zone and suggests a period of lower primary productivity, more oxygenated bottom waters, and hence lower bacterial activity during the earliest Holocene.