The NYSE U.S. Large Cap Equal Weight Index tracks the performance of the largest 500 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 16,946.56 index points.

United States New York Stock Exchange: Index: MSCI US Mid Cap Equal Weighted Index data was reported at 11,702.668 NA in Mar 2025. This records a decrease from the previous number of 12,300.634 NA for Feb 2025. United States New York Stock Exchange: Index: MSCI US Mid Cap Equal Weighted Index data is updated monthly, averaging 7,174.580 NA from Jan 2012 (Median) to Mar 2025, with 159 observations. The data reached an all-time high of 13,007.703 NA in Nov 2024 and a record low of 3,475.715 NA in May 2012. United States New York Stock Exchange: Index: MSCI US Mid Cap Equal Weighted 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: MSCI: Monthly.

United States New York Stock Exchange: Index: MSCI US Equal Weighted Net Total Return data was reported at 7,998.899 NA in Mar 2025. This records a decrease from the previous number of 8,332.654 NA for Feb 2025. United States New York Stock Exchange: Index: MSCI US Equal Weighted Net Total Return data is updated monthly, averaging 4,366.247 NA from Jan 2012 (Median) to Mar 2025, with 159 observations. The data reached an all-time high of 8,659.581 NA in Nov 2024 and a record low of 1,948.918 NA in May 2012. United States New York Stock Exchange: Index: MSCI US Equal Weighted Net Total Return 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: MSCI: Monthly.

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.

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.

Fiji South Pacific Stock Exchange: Index: Equal-Weighted Total Return Index data was reported at 14,625.460 NA in Apr 2025. This records an increase from the previous number of 14,313.880 NA for Mar 2025. Fiji South Pacific Stock Exchange: Index: Equal-Weighted Total Return Index data is updated monthly, averaging 6,409.980 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 14,625.460 NA in Apr 2025 and a record low of 2,259.240 NA in Jan 2012. Fiji South Pacific Stock Exchange: Index: Equal-Weighted Total Return 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.

!!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.This version of the Racial and Social Equity Index indexes all tracts in the remainder of King County against tracts in the city of Seattle. This index should only be used in direct consultation with the Office of Planning and Community Development, and is intended to be of use for comparing tracts in the remainder of King County within the context of percentiles set by tracts within the city of Seattle.Version: CurrentThe Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.See the City of Seattle RSE Index in action in the Racial and Social Equity ViewerThe Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures: Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures: No leisure-time physical activity Diagnosed diabetes Obesity Mental health not good AsthmaLow life expectancy at birth Disability<div style='font-family:"Avenir Next W01"

DescriptionClick a census tract on the map to view the details. Click "Legend" above to explore other demographic layers.The Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. The Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures: Income below 200% of poverty level grad Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures: No leisure-time physical activity Diagnosed diabetes Obesity Mental health not good AsthmaLow life expectancy at birth DisabilityThe index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.Produced by City of Seattle Office of Planning & Community Development. For more information on the indices, including guidance for use, contact Diana Canzoneri (diana.canzoneri@seattle.gov).Get the data for this map from SeattleGeoDataSources: 2011-2015 Five-Year American Community SurveyEstimates, U.S. Census Bureau; estimates from the Centers for Disease Control’ Behavioral Risk Factor Surveillance System (BRFSS) published in the “The 500 Cities Project,” Washington State Department of Health’s Washington Tracking Network (WTN), and estimates form the Public Health – Seattle & King County (based on the Community Health Assessment Tool).Language is for population age 5 and older. Educational attainment is for the population age 25 and over.Life expectancy is life expectancy at birth. Other health measures based on percentages of the adult population.

!!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.Version: CurrentThe Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.See the layer in action in the Racial and Social Equity ViewerClick here for an 11x17 printable pdf version of the map.The Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures:Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures:No leisure-time physical activityDiagnosed diabetes ObesityMental health not good AsthmaLow life expectancy at birthDisabilityThe index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.<div style='font-family:"Avenir Next W01", "Aven

This article analyzes equally-weighted stock portfolios (1/N) focusing on unsophisticated investors with small portfolios. The number of shares included in the 1/N portfolios ranged from 6 to 16 with rebalancing executed only three times a year. The period of analysis included daily and monthly returns between 1998 and 2011. The performance of the 1/N portfolios was compared to stock mutual funds, a global minimum variance portfolio with a 10% limit on positive weights (MVP 10%) and the Ibovespa index. The comparisons employed nonparametric tests, measures of risk-adjusted return and considered transaction costs. The results indicate that the performance of the selected funds is, at best, equivalent to the 1/N portfolios, albeit with a lower standard deviation. There was no significant difference in the median returns of the 1/N portfolios relative to the Ibovespa and MVP 10%. The stock selection criterion according to the ranking by the previous period Sharpe ratio is relevant, but rebalancing may be carried out less than three times a year. The 1/N portfolios are an attractive alternative to stock funds for investors with small stock portfolios even though their transaction costs may exceed 400 basis points per year.

!!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.This version of the Racial and Social Equity Index indexes all tracts in the remainder of King County against tracts in the city of Seattle. This index should only be used in direct consultation with the Office of Planning and Community Development, and is intended to be of use for comparing tracts in the remainder of King County within the context of percentiles set by tracts within the city of Seattle.Version: CurrentThe Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.See the City of Seattle RSE Index in action in the Racial and Social Equity ViewerThe Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures: Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures: No leisure-time physical activity Diagnosed diabetes Obesity Mental health not good AsthmaLow life expectancy at birth DisabilityThe index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.Sources are as indicated below.Produced by City of Seattle Office of Planning & Community Development. For more information on the indices, including guidance for use, contact Diana Canzoneri (diana.canzoneri@seattle.gov).Sources: 2017-2021 Five-Year American Community Survey Estimates, U.S. Census Bureau; 2020 Decennial Census, U.S. Census Bureau; estimates from the Centers for Disease Control’ Behavioral Risk Factor Surveillance System (BRFSS) published in the “The 500 Cities Project,”; Washington State Department of Health’s Washington Tracking Network (WTN);, and estimates from the Public Health – Seattle & King County (based on the Community Health Assessment Tool).Language is for population age 5 and older. Educational attainment is for the population age 25 and over.Life expectancy is life expectancy at birth.Other health measures based on percentages of the adult population.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-06-20 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

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.

Analysis of ‘Racial and Social Equity Composite Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f07def31-1804-4009-a698-a99d44be8652 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Persons of color (weight: 1.0)
English language learner (weight: 0.5)
Foreign born (weight: 0.5)

Income below 200% of poverty level

Educational attainment less than a bachelor’s degree

No leisure-time physical activity

Diagnosed diabetes

Obesity

Mental health not good

Asthma

Low life expectancy at birth

Disability

Click a census tract on the map to view the details. Click "Layers" to explore other demographic layers.The Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. Click here for a User Guide.The Composite Index includes sub-indices of: Race, English Language Learners, and Origins Index ranks census tracts by an index of three measures weighted as follows: Persons of color (weight: 1.0) English language learner (weight: 0.5) Foreign born (weight: 0.5)Socioeconomic Disadvantage Index ranks census tracts by an index of two equally weighted measures: Income below 200% of poverty level Educational attainment less than a bachelor’s degreeHealth Disadvantage Index ranks census tracts by an index of seven equally weighted measures: Adults with no leisure-time physical activity Adults with diagnosed diabetes Adults with obesity Adults who reported mental health as not good Adults with asthma Low life expectancy at birth Adults with one or more disabilityThe index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.Sources are as indicated below. Additional layers are updated annually by the Office of Planning and Community Development.Produced by City of Seattle Office of Planning & Community Development. For more information on the indices, including guidance for use, contact Diana Canzoneri (diana.canzoneri@seattle.gov).Get the data for this map from SeattleGeoDataSources: 2017-2021 5-Year American Community Survey Estimates, U.S. Census Bureau; 2020 Decennial Census, U.S. Census Bureau; modeled estimates from the Centers for Disease Control’ in the PLACES project; Washington State Department of Health’s Washington Tracking Network (WTN);, and estimates from the Public Health – Seattle & King County (based on the Community Health Assessment Tool).Notes: Language is for population age 5 and older. Educational attainment is for the population age 25 and over.Life expectancy is life expectancy at birth.Other health measures based on percentages of the adult population.

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.

The data contain three variables for each country for each year for the period of 1995-2010: index of democratization (ID), percentage of women representatives in national parliaments (W), and gender-weighted index of democratization (GID). The percentage of women in national parliaments (W) is used to indicate women's representation. The gender-weighted index of democratization has been calculated using the formula GID = ID x [1 + (W/100)]. If information on women's representation was not available for a parliamentary election, women's representation was estimated to be the same as in the previous or next election (see Appendix 1 in the Background file). If the state does not have a parliament chosen by popular election, the variable W has the value of 0. More information on the index on democratization in FSD1289 Measures of Democracy 1810-2010, and FSD2183 Women's Representation in National Parliaments 1970-2010.

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. 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. 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.

Variable weights for PCA indexes using different indicator sets and categorisation.

The assessment of flood vulnerability is a complex task that involves numerous uncertainties. Within this context, sensitivity analyses are crucial to better understand the variability of vulnerability index outcomes according to different input parameters. The present study sheds light on the importance of assessing the sensitivity of different criteria weights to construct flood vulnerability indexes using the Maquiné basin (Brazil) as a case study. Specifically, we compared vulnerability scores based on weights derived from a participatory survey with 44 stakeholders to those based on an equal weighting scheme. Results helped us identify areas with low and high uncertainty and the variables contributing to this. Overall, the preference for indicator weights did not vary significantly among stakeholders with distinct socioeconomic characteristics. Furthermore, the choice of weights only had an impact on the spatial distribution of flood vulnerability in certain regions. Compared to equal weights, the flood vulnerability outcomes obtained by averaging the stakeholder scenarios were similar, indicating that the results were robust and not highly sensitive to the choice of weights. By adopting a participatory approach, we were able to consider multiple stakeholders' views, which helped to provide a more comprehensive perspective of flood vulnerability and potentially increased the acceptance of the results. Based on our findings, end-users can better understand the relative importance of each indicator and how they contribute to vulnerability. Furthermore, our results can help identify points where stakeholders disagree, which can be used to facilitate dialogue and consensus building. The methodology applied is straightforward and could be easily adapted to other multi-criteria decision-making problems.