Indexes included in the Russell U.S. Index Series Russell 3000®: The Russell 3000 Index measures the performance of the largest 3,000 U.S. companies representing approximately 98% of the investable U.S. equity market. Russell 1000®: The Russell 1000 Index measures the performance of the large-cap segment of the U.S. equity universe. It is a subset of the Russell 3000 Index and includes approximately 1,000 of the largest securities based on a combination of their market cap and current index membership. The Russell 1000 represents approximately 91% of the U.S. market. Russell 2000®: The Russell 2000 Index measures the performance of the small-cap segment of the U.S. equity universe. The Russell 2000 Index is a subset of the Russell 3000 Index representing approximately 9% of the total market capitalization of that index. It includes approximately 2,000 of the smallest securities based on a combination of their market cap and current index membership. Index Inception Dates Russell 1000® Index (1/1979) Russell 1000® Growth Index (1/1979) Russell 1000® Value Index (1/1979) Russell 2000® Index (1/1979) Russell 2000® Growth Index (1/1979) Russell 2000® Value Index (1/1979) Russell 2500™ Index (4/2003) Russell 2500™ Growth Index (4/2003) Russell 2500™ Value Index (4/2003) Russell 3000® Index (1/1979) Russell 3000® Growth Index (1/1979) Russell 3000® Value Index (1/1979) Russell Midcap® Index (1/1986) Russell Midcap® Growth Index (1/1987) Russell Midcap® Value Index (1/1987) Russell Small Cap Completeness Index (4/2003) Russell Small Cap Completeness Growth Index (4/2003) Russell Small Cap Completeness Value Index (4/2003) Russell Top 200® Index (7/1996) Russell Top 200® Growth Index (7/2001) Russell Top 200® Value Index (7/2001) Monthly Files included in the Russell U.S. Index Series Monthly Closing Files – RGS These holdings files reflect the official closing positions for all constituents of the 21 U.S. Russell Indexes at month-end back to December 1986 and at quarter-end from September 1986 back to December 1978. Security level information such as returns, market values, sector and industry classifications, and security weights are included in the file. Files are fixed-width text files and have a naming convention of H_yyyymmdd_RGS.txt. Monthly Closing Files – ICB These holdings files reflect the official closing positions for all constituents of the 21 U.S. Russell Indexes at month-end back to January 2010. Security level information such as returns, market values, sector and industry classifications, and security weights are included in the file. Files are comma delimited text files and have a naming convention of H_yyyymmdd.csv. Monthly Contribution to Return by RGS Files These files provide contribution to return using RGS as of the end of the month for each of the 21 U.S. Russell Indexes back to August 2008. Files are tab delimited text files and have a naming convention of CTR_MONTHLY_RGS_yyyymmdd.txt.. Monthly Contribution to Return by ICB Files These files provide contribution to return using ICB as of the end of the month for each of the 21 U.S. Russell Indexes back to August 2020. Files are comma delimited text files and have a naming convention of CTR_MONTHLY_yyyymmdd.csv. Monthly RGS Sector Weights Files These files provide monthly Russell Global Sector (RGS) weights for all 21 US Indexes at month-end back to November 2009. Files are comma delimited text files and have a naming convention of SWH_RGS_ALL_yyyymmdd.txt. Monthly ICB Sector Weights Files These files provide monthly Industrial Classification Benchmark (ICB) weights for all 21 US Indexes at month-end back to March 2020. Files are comma delimited text files and have a naming convention of SWH_ALL_yyyymmdd.csv. Note: In August 2020 FTSE Russell transitioned to ICB classification from the RGS classification. All data from September, 2020 is only available using ICB Classification. Data is current to 2024.

United States - Russell 2500 Growth Total Market was 8770.84000 Index in July of 2019, according to the United States Federal Reserve. Historically, United States - Russell 2500 Growth Total Market reached a record high of 8864.81000 in September of 2018 and a record low of 346.99000 in November of 1987. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Russell 2500 Growth Total Market - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for CBOE Russell 2000 Volatility Index (RVXCLS) from 2004-01-02 to 2025-07-11 about VIX, volatility, stock market, and USA.

United States - Russell 2500 Price was 1533.87000 Index in July of 2019, according to the United States Federal Reserve. Historically, United States - Russell 2500 Price reached a record high of 1608.99000 in August of 2018 and a record low of 27.01000 in December of 1978. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Russell 2500 Price - last updated from the United States Federal Reserve on July of 2025.

Graph and download economic data for All-Transactions House Price Index for Russell County, AL (ATNHPIUS01113A) from 1986 to 2024 about Russell County, AL; Columbus; AL; HPI; housing; price index; indexes; price; and USA.

Graph and download economic data for White to Non-White Racial Dissimilarity (5-year estimate) Index for Russell County, KY (RACEDISPARITY021207) from 2009 to 2023 about Russell County, KY; racial dissimilarity; non-white; white; KY; 5-year; and USA.

United States - CBOE Russell 2000 Volatility was 23.11000 Index in July of 2025, according to the United States Federal Reserve. Historically, United States - CBOE Russell 2000 Volatility reached a record high of 87.62000 in November of 2008 and a record low of 11.83000 in September of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - CBOE Russell 2000 Volatility - last updated from the United States Federal Reserve on July of 2025.

Browse Russell 2000 (RUT) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

Consolidated last sale, exchange BBO and national BBO across all US equity options exchanges. Includes single name stock options (e.g. TSLA), options on ETFs (e.g. SPY, QQQ), index options (e.g. VIX), and some indices (e.g. SPIKE and VSPKE). This dataset is based on the newer, binary OPRA feed after the migration to SIAC's OPRA Pillar SIP in 2021. OPRA is notable for the size of its data and we recommend users to anticipate several TBs of data per day for the full dataset in its highest granularity (MBP-1).

Origin: Options Price Reporting Authority

Supported data encodings: DBN, JSON, CSV Learn more

Supported market data schemas: MBP-1, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, TBBO, Trades, Statistics, Definition Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

United States - Russell 2500 Total Market was 2274.06000 Index in August of 2019, according to the United States Federal Reserve. Historically, United States - Russell 2500 Total Market reached a record high of 2461.31000 in August of 2018 and a record low of 19.19000 in December of 1978. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Russell 2500 Total Market - last updated from the United States Federal Reserve on June of 2025.

Prices for United States Stock Market Index (US2000) including live quotes, historical charts and news. United States Stock Market Index (US2000) was last updated by Trading Economics this July 14 of 2025.

United States - Russell 2500 Growth Price was 7516.08000 Index in July of 2019, according to the United States Federal Reserve. Historically, United States - Russell 2500 Growth Price reached a record high of 7647.62000 in September of 2018 and a record low of 0.00000 in January of 1986. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Russell 2500 Growth Price - last updated from the United States Federal Reserve on July of 2025.

The Digital Geologic-GIS Map of Russell Cave National Monument and Vicinity, Alabama is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (ruca_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (ruca_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (ruca_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (ruca_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (ruca_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (ruca_geology_metadata_faq.pdf). Please read the ruca_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (ruca_geology_metadata.txt or ruca_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

About this dataset

Context

The dataset illustrates the median household income in Russell town, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 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 2023, the median household income for Russell town increased by $24,698 (30.44%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 9 years and declined for 4 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 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 Russell town median household income. You can refer the same here

Timeseries data from 'RUSSELL C NR COLD BAY AK (USGS 15297610)' (ism-aoos-gov_usgs_nwis_15297610) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com,feedback@axiomdatascience.com contributor_name=Axiom Data Science,Axiom Data Science contributor_role=contributor,processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=water_surface_height_above_reference_datum_above_localstationdatum_qc_agg,river_discharge,sea_water_temperature,sea_water_temperature_qc_agg,water_surface_height_above_reference_datum_above_localstationdatum,z,time,river_discharge_qc_agg&time>=max(time)-3days Easternmost_Easting=-162.689511 featureType=TimeSeries geospatial_lat_max=55.176906 geospatial_lat_min=55.176906 geospatial_lat_units=degrees_north geospatial_lon_max=-162.689511 geospatial_lon_min=-162.689511 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Alaska Ocean Observing System (AOOS) at https://erddap.aoos.org/erddap/tabledap/gov_usgs_nwis_15297610 id=133735 infoUrl=https://sensors.ioos.us/#metadata/133735/station institution=USGS National Water Information System (NWIS) naming_authority=com.axiomdatascience Northernmost_Northing=55.176906 platform=fixed platform_name=RUSSELL C NR COLD BAY AK (USGS 15297610) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://erddap.aoos.org/erddap/tabledap/gov_usgs_nwis_15297610,https://erddap.aoos.org/erddap/tabledap/gov_usgs_nwis_15297610, sourceUrl=https://erddap.aoos.org/erddap/tabledap/gov_usgs_nwis_15297610 Southernmost_Northing=55.176906 standard_name_vocabulary=CF Standard Name Table v72 station_id=133735 time_coverage_end=2025-03-27T08:15:00Z time_coverage_start=2023-12-16T08:00:00Z Westernmost_Easting=-162.689511

About this dataset

Context

The dataset illustrates the median household income in Russell town, 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 Russell town increased by $6,299 (11.22%), 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 6 years and declined for 5 years.

https://i.neilsberg.com/ch/russell-ny-median-household-income-trend.jpeg" alt="Russell, New York 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 Russell town median household income. You can refer the same here

As of June 2024, the Vanguard Mega Cap Growth Index provided the ******* one-year return rate. The Vanguard Russell 1000 Growth Index Fund ranked ****** having a one-year return rate of **** percent. As of June 2024, the Vanguard Total Stock Market Index Fund was the largest fund owned by Vanguard, with net assets under management worth approximately **** trillion U.S. dollars. What is the difference between mutual funds and exchange traded funds? Both mutual funds and exchange traded funds (ETFs) originate from the concept of pooled fund investing, which bundles securities together to offer investors a more diversified portfolio. However, mutual funds and ETFs have some key differences. For instance, ETFs offer more flexible trading as they trade during the day like stocks, while mutual funds only allow transactions at the end of the day. Moreover, ETFs are mostly passively-managed and mirror a designated index. On the other hand, mutual funds are typically actively-managed, as it can be seen by comparing the number of actively and passively-managed mutual funds in the United States. Vanguard Founded by John C. Bogle in 1975, Vanguard is a U.S. asset management company that offers both mutual funds and ETFs. Headquartered in Malvern, Pennsylvania, Vanguard was the ****** largest provider of ETFs in the United States after BlackRock Financial Management, with assets under management worth almost *** trillion U.S. dollars. Likewise, in 2024, Vanguard ranked among the largest providers of mutual funds worldwide. The total assets under management of Vanguard increased considerably since its foundation in 1975, and peaked at *** trillion U.S. dollars in 2024.

description: This map depicts lands owned and/or administered by the U.S. Fish and Wildlife Service at Charles M. Russell National Wildlife Refuge.; abstract: This map depicts lands owned and/or administered by the U.S. Fish and Wildlife Service at Charles M. Russell National Wildlife Refuge.

Timeseries data from 'RUSSELL LAKE NEAR HERRIOT' (ca_hydro_06EB006) _NCProperties=version=2,netcdf=4.8.1,hdf5=1.12.2 cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3 defaultDataQuery=water_surface_height_above_reference_datum_above_localstationdatum_qc_agg,water_surface_height_above_reference_datum_above_localstationdatum,z,time&time>=max(time)-3days Easternmost_Easting=-101.36522 featureType=TimeSeries geospatial_lat_max=56.34053 geospatial_lat_min=56.34053 geospatial_lat_units=degrees_north geospatial_lon_max=-101.36522 geospatial_lon_min=-101.36522 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Canada Water Office at https://dd.weather.gc.ca/hydrometric/ id=101736 infoUrl=https://sensors.ioos.us/#metadata/101736/station institution=Canada Water Office naming_authority=com.axiomdatascience Northernmost_Northing=56.34053 platform=fixed platform_name=RUSSELL LAKE NEAR HERRIOT platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://wateroffice.ec.gc.ca/report/real_time_e.html?stn=06EB006,https://dd.weather.gc.ca/hydrometric/, sourceUrl=https://dd.weather.gc.ca/hydrometric/ Southernmost_Northing=56.34053 standard_name_vocabulary=CF Standard Name Table v72 station_id=101736 time_coverage_end=2025-07-11T20:25:00Z time_coverage_start=2019-10-01T00:00:00Z Westernmost_Easting=-101.36522

Browse Weekly - Russell 2000 (RUTW) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

Consolidated last sale, exchange BBO and national BBO across all US equity options exchanges. Includes single name stock options (e.g. TSLA), options on ETFs (e.g. SPY, QQQ), index options (e.g. VIX), and some indices (e.g. SPIKE and VSPKE). This dataset is based on the newer, binary OPRA feed after the migration to SIAC's OPRA Pillar SIP in 2021. OPRA is notable for the size of its data and we recommend users to anticipate several TBs of data per day for the full dataset in its highest granularity (MBP-1).

Origin: Options Price Reporting Authority

Supported data encodings: DBN, JSON, CSV Learn more

Supported market data schemas: MBP-1, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, TBBO, Trades, Statistics, Definition Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

About this dataset

Context

The dataset illustrates the median household income in Russell, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 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 2023, the median household income for Russell decreased by $4,153 (5.16%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 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 Russell median household income. You can refer the same here