The NYSE U.S. Large Cap Equal Weight Index tracks the performance of the largest *** highly capitalized companies listed on U.S. stock exchanges. Between November 2001 and September 2024, the index fluctuated but increased overall, reaching a value of ********* index points.
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France NYSE Euronext Paris: Index: CAC 40 Equal Weight Index data was reported at 2,677.160 NA in Apr 2025. This records a decrease from the previous number of 2,686.580 NA for Mar 2025. France NYSE Euronext Paris: Index: CAC 40 Equal Weight Index data is updated monthly, averaging 2,043.555 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 2,785.640 NA in Mar 2024 and a record low of 1,090.260 NA in May 2012. France NYSE Euronext Paris: Index: CAC 40 Equal Weight Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s France – Table FR.EDI.SE: NYSE Euronext Paris: Monthly.
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India CCIL: Treasury Biils: Equal Weight Index data was reported at 244.122 01Jan2004=100 in 05 May 2025. This records an increase from the previous number of 244.099 01Jan2004=100 for 02 May 2025. India CCIL: Treasury Biils: Equal Weight Index data is updated daily, averaging 184.740 01Jan2004=100 from Jan 2004 (Median) to 05 May 2025, with 5247 observations. The data reached an all-time high of 244.122 01Jan2004=100 in 05 May 2025 and a record low of 128.328 01Jan2004=100 in 25 Mar 2010. India CCIL: Treasury Biils: Equal Weight Index data remains active status in CEIC and is reported by The Clearing Corporation of India Limited. The data is categorized under India Premium Database’s Financial Market – Table IN.ZD009: The Clearing Corporation of India Limited (CCIL): Treasury Bill Index and Bond Index.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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United States New York Stock Exchange: Index: S&P 500 Equal Weight Index data was reported at 6,856.790 NA in Apr 2025. This records a decrease from the previous number of 7,024.200 NA for Mar 2025. United States New York Stock Exchange: Index: S&P 500 Equal Weight Index data is updated monthly, averaging 4,253.920 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 7,589.910 NA in Nov 2024 and a record low of 2,549.260 NA in Aug 2013. United States New York Stock Exchange: Index: S&P 500 Equal Weight Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: S&P: Monthly.
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United States New York Stock Exchange: Index: US Large Cap Equal Weight Index data was reported at 16,258.144 NA in Apr 2025. This records a decrease from the previous number of 16,481.009 NA for Mar 2025. United States New York Stock Exchange: Index: US Large Cap Equal Weight Index data is updated monthly, averaging 10,156.860 NA from Oct 2014 (Median) to Apr 2025, with 127 observations. The data reached an all-time high of 17,914.299 NA in Nov 2024 and a record low of 6,591.390 NA in Jan 2016. United States New York Stock Exchange: Index: US Large Cap Equal Weight Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Monthly.
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This indicator is derived from the body mass index (BMI), which is defined as the weight in kilograms divided by the square of the height in metres. People aged 18 years or over are considered obese if their BMI is equal to or greater than 30. The category ‘pre-obese’ refers to people with a BMI between 25 and less than 30. The category ‘overweight’ (BMI equal or greater than 25) combines the two categories pre-obese and obese. The data presented in this section stem from the European Health Interview Survey (EHIS) and the EU Statistics on Income and Living Conditions (EU-SILC).
3,2 (Index) in 2004.
The indicator measures the share of obese people based on their body mass index (BMI). BMI is defined as the weight in kilos divided by the square of the height in meters. People aged 18 years or over are considered obese with a BMI equal or greater than 30. Other categories are: underweight (BMI less than 18.5), normal weight (BMI between 18.5 and less than 25), and pre-obese (BMI between 25 and less than 30). The category overweight (BMI equal or greater than 25) combines the two categories pre-obese and obese.
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United States New York Stock Exchange: Index: S&P 100 Equal Weight Index data was reported at 4,644.510 NA in Apr 2025. This records a decrease from the previous number of 4,742.040 NA for Mar 2025. United States New York Stock Exchange: Index: S&P 100 Equal Weight Index data is updated monthly, averaging 2,577.820 NA from Aug 2013 (Median) to Apr 2025, with 141 observations. The data reached an all-time high of 4,945.180 NA in Feb 2025 and a record low of 1,561.590 NA in Aug 2013. United States New York Stock Exchange: Index: S&P 100 Equal Weight Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: S&P: Monthly.
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Regional index for the theme Income and wealth is based on the indicators Indigenous 0-19 years in economically vulnerable households, share (%), Populations 18-64 years with low income, share (%), Net income, median income for residents in Sweden all year 20+ years, tkr, inhabitants 16-84 years who have experienced economic crisis, share (%). The KPIs are normalised so that all regions’ values are placed on a scale from 0 to 100 where 0 is the worst and 100 is best (for some indicators, inverted scale is used). In the next step, the normalised indicator values are weighed together into indices at aspect level (currently, the theme is based on indicators in two aspects). This is done with averages, all indicators weighed together with the same weight in each aspect. Then the index at aspect level is weighed together to the thematic level according to the same principle and these values also fall between 0 and 100. The weighting is equal for all aspects of the theme.
In 2022, men aged 55 to 64 years had an average body mass index (BMI) of 29 kg/m2 and women in the same age group had a BMI of 28.8 kg/m2, the highest mean BMI across all the age groups. Apart from individuals aged 16 to 24 years, every demographic in England had an average BMI which is classified as overweight.An increasing problem It is shown that the mean BMI of individuals for both men and women has been generally increasing year-on-year in England. The numbers show in England, as in the rest of the United Kingdom (UK), that the prevalence of obesity is an increasing health problem. The prevalence of obesity in women in England has increased by around nine percent since 2000, while for men the share of obesity has increased by six percent. Strain on the health service Being overweight increases the chances of developing serious health problems such as diabetes, heart disease and certain types of cancers. In the period 2019/20, England experienced over 10.7 thousand hospital admissions with a primary diagnosis of obesity, whereas in 2002/03 this figure was only 1,275 admissions. Furthermore, the number of bariatric surgeries taking place in England, particularly among women, has significantly increased over the last fifteen years. In 2019/20, over 5.4 thousand bariatric surgery procedures were performed on women and approximately 1.3 thousand were carried out on men.
This data represents the age-adjusted prevalence of high total cholesterol, hypertension, and obesity among US adults aged 20 and over between 1999-2000 to 2017-2018. Notes: All estimates are age adjusted by the direct method to the U.S. Census 2000 population using age groups 20–39, 40–59, and 60 and over. Definitions Hypertension: Systolic blood pressure greater than or equal to 130 mmHg or diastolic blood pressure greater than or equal to 80 mmHg, or currently taking medication to lower high blood pressure High total cholesterol: Serum total cholesterol greater than or equal to 240 mg/dL. Obesity: Body mass index (BMI, weight in kilograms divided by height in meters squared) greater than or equal to 30. Data Source and Methods Data from the National Health and Nutrition Examination Surveys (NHANES) for the years 1999–2000, 2001–2002, 2003–2004, 2005–2006, 2007–2008, 2009–2010, 2011–2012, 2013–2014, 2015–2016, and 2017–2018 were used for these analyses. NHANES is a cross-sectional survey designed to monitor the health and nutritional status of the civilian noninstitutionalized U.S. population. The survey consists of interviews conducted in participants’ homes and standardized physical examinations, including a blood draw, conducted in mobile examination centers.
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Men’s Region Index for the theme Health is based on the indicators Average life expectancy women, years, average life expectancy men, years, Obesity population, percentage (%), long-term sick leave with mental illnesses and syndromes and behavioural disorders, percentage (%), prevalence of diabetes type 2, share (%), incidence of cancer, age standardised, number/100000 inv, incidence of heart attacks, age standardised 20+ years, number/100000 inv, Population 16-84 years with good or very good self-rated health, percentage (%), residents with good self-rated dental health, percentage (%), Population 16-84 years of age with impaired mental well-being, percentage (%). The KPIs are normalised so that all regions’ values are placed on a scale from 0 to 100 where 0 is the worst and 100 is best (for some indicators, inverted scale is used). In the next step, the standardised indicator values are weighed together into indices at aspect level (currently, the theme is based on indicators in three aspects). This is done with averages, all indicators weighed together with the same weight in each aspect. The values are also at this level in the range 0 to 100. Then the index at aspect level is weighed together to the thematic level according to the same principle and these values also fall between 0 and 100. The weighting is equal for all aspects of the theme.
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Men’s municipal index for the theme Health is based on the indicators Average life expectancy women, years, average life expectancy men, years, Obesity population, percentage (%), long-term sick leave with mental illnesses and syndromes and behavioural disorders, percentage (%), incidence of cancer, age standardised, number/100000, incidence of heart attacks, age-standardised 20+ years, number/100000 inhabitants, inhabitants 16-84 years with good or very good self-rated health, share (%), residents with good self-rated dental health, percentage (%), population 16-84 years with impaired mental well-being, percentage (%). The KPIs are normalised so that all municipalities’ values are placed on a scale from 0 to 100 where 0 is the worst and 100 is best (for some indicators, inverted scale is used). In the next step, the standardised indicator values are weighed together into indices at aspect level (currently, the theme is based on indicators in three aspects). This is done with averages, all indicators weighed together with the same weight in each aspect. The values are also at this level in the range 0 to 100. Then the index at aspect level is weighed together to the thematic level according to the same principle and these values also fall between 0 and 100. The weighting is equal for all aspects of the theme.
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View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.
4 (Index) in 2004.
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Variable weights for PCA indexes using different indicator sets and categorisation.
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Fiji South Pacific Stock Exchange: Index: Equal-Weighted Price Index data was reported at 6,309.880 NA in Apr 2025. This records an increase from the previous number of 6,231.580 NA for Mar 2025. Fiji South Pacific Stock Exchange: Index: Equal-Weighted Price Index data is updated monthly, averaging 3,190.670 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 6,361.390 NA in Sep 2024 and a record low of 1,509.700 NA in Jan 2012. Fiji South Pacific Stock Exchange: Index: Equal-Weighted Price Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Fiji – Table FJ.EDI.SE: South Pacific Stock Exchange: Monthly.
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The prevalence of obesity in the adult population (18 years and older) in Trinidad and Tobago. Overweight and obesity are defined as abnormal or excessive fat accumulation that may impair health. Body mass index (BMI) is a simple weight-for-height index commonly used to classify overweight and obesity in adults. It is defined as a person's weight in kilograms divided by the square of his height in meters (kg/m2). Adults For adults, the World Health Organization (WHO) defines overweight and obesity as follows: overweight is a BMI greater than or equal to 25; and obesity is a BMI greater than or equal to 30. BMI provides the most useful population-level measure of overweight and obesity as it is the same for both sexes and all ages of adults. However, it should be considered a rough guide because it may not correspond to the same degree of fatness in different individuals. The Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC-SA 3.0 IGO) specifies that you must give appropriate attribution and credit to FAO for any work produced using a dataset or when data is re-disseminated. The following citation is recommended: [© FAO] [Year of publication] [Title of content] [Page number (for publications)] [Location on FAO website] [Date accessed and/or downloaded] Example: © FAO 2023, Prevalence of Moderate and Severe Food Insecurity, https://www.fao.org/faostat/en/#country/220, Accessed on November 21, 2023
The NYSE U.S. Large Cap Equal Weight Index tracks the performance of the largest *** highly capitalized companies listed on U.S. stock exchanges. Between November 2001 and September 2024, the index fluctuated but increased overall, reaching a value of ********* index points.