Interactive chart of the Dow Jones Industrial Average (DJIA) stock market index for the last 100 years. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

The Dow Jones Composite Index finished the year 2024 at 13,391.71 points, an increase compared to the previous year. Even with the economic effects of the global coronavirus (COVID-19) pandemic, 2021 had the highest point of the index in the past two decades. What is Dow Jones Composite Index? The Dow Jones Composite Index is one of the indices from the Dow Jones index family. It is composed of 65 leading U.S. companies: 30 stocks forming the Dow Jones Industrial Average index, 20 stocks from the Dow Jones Transportation index and 15 stocks from the Dow Jones Utility Average index. Importance of stock indices A stock market index shows an average performance of companies from a given section of the market. It is usually a weighted average, meaning that such factors as price of companies or their market capitalization are taken into consideration when calculating the index value. Stock indices are very useful for the financial market participants, as they instantly show the sentiments prevailing on a given market. They are also commonly used as a benchmark against portfolio performance, showing if a given portfolio has outperformed, or underperformed the market.

The value of the Dow-Jones Utility Average (DJU) reached ****** at the end of 2024. The Dow-Jones Utility Index includes ** stocks of utility companies in the United States. Most companies listed are electric utilities, with American Water Works the only water utility included. Between 2020 and 2021, the index value increased by *** points.

The year-end closing values of the Dow Jones Transportation Index increased more than twofold since 2012. The value of Dow Jones Transportation Index amounted to 15,895.75 points in 2024. Even with the economic effects of the global coronavirus (COVID-19) pandemic, 2021 had the highest point of the index in the past two decades.

Context

Stock time series are a favourite among data scientists because they are easily understood and widely available - in this extensive data set you will find long-time time-series with open/close/high/min/adjusted features, as well as data regarding stock splits, trading volume and dividends.

Content

This data set includes Dow Jones member stock prices (status 01.0.1.2021) with all their historic stock performances from 01.01.2020 to 31.12.2020.

• 30 Dow Jones stocks
• 21 years of data (depending on company age)
• 1 entry per day
• 150503 data points

Please also check the corresponding Jupyter Notebook to get some basic ideas how to use this data set: https://www.kaggle.com/deeplytics/dow-jones-historic-stock-data-2000-2020

Stock Names

In the data set, all companies use their stock ticker names. If you are unfamiliar with them, please check this overview: https://www.cnbc.com/dow-30/

Inspiration

Today's free APIs and coding libraries make it relatively easy for the average user to get an understanding of stock price movements. More advanced users may even be able to find patterns, that can be incorporated into investment decisions.

Acknowledgements

Photo by Dmitry Demidko on Unsplash: https://unsplash.com/photos/eBWzFKahEaU?utm_source=unsplash&utm_medium=referral&utm_content=creditShareLink

About this dataset

Context

The dataset tabulates the Dow City population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Dow City across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Dow City was 467, a 0.85% decrease year-by-year from 2022. Previously, in 2022, Dow City population was 471, a decline of 1.26% compared to a population of 477 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Dow City decreased by 41. In this period, the peak population was 510 in the year 2003. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Dow City is shown in this column.
• Year on Year Change: This column displays the change in Dow City population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

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 Dow City Population by Year. You can refer the same here

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.

Dow had some ****** employees as of the year-end 2023. On September 1, 2017, Dow Chemical and DuPont successfully completed their merger of equals. From that date until April 1, 2019, the single company was known as DowDuPont. After that point in time, the conglomerate split into three entities: Dow, DuPont, and Corteva. Prior to splitting into these three separate companies, DowDuPont had ****** employees in total. DuPont's post spin-off number of employees is lower when compared to Dow's, at ****** in recent years.

Overview of Dow's employment figures

As a household name, Dow has been a relatively large employer for a long time, particularly in North America. Although Dow's post-DowDuPont-spin-off employment numbers are lower than they were prior to the creation of the conglomerate, they remain substantial. Of the company's nearly ****** global employees, **** percent were men as of 2023. The United States and Canada accounted for a combined ** percent of all of Dow's employees that year. Europe, the Middle East, Africa, and India accounted for ** percent, the second largest regional share of Dow's employees.

DowDuPont's company revenue before & after the split

After the merger between Dow Chemical and DuPont in 2017, a notable increase in company revenue was observable. DowDuPont generated revenues of nearly ** billion U.S. dollars in 2018, while Dow Chemical’s revenue in 2016 was **** billion U.S. dollars and DuPont’s revenue that year was six billion U.S. dollars. Following the April 2019 separation of the conglomerate's companies, Dow's revenue in 2020 amounted to **** billion U.S. dollars and DuPont reported **** billion U.S. dollars.

About this dataset

Context

The dataset tabulates the Dow City population by year. The dataset can be utilized to understand the population trend of Dow City.

Content

The dataset constitues the following datasets

• Dow City, IA Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

This dataset tracks annual reduced-price lunch eligibility from 2000 to 2003 for Dow Elementary School vs. Michigan and Detroit Public Schools Community School District

The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

The statistic shows the worst days of the Dow Jones Industrial Average index from 1897 to 2024. The worst day in the history of the index was ****************, when the index value decreased by ***** percent. The largest single day loss in points was on ***********.

For more information regarding the index, please visit Standard & Poor's (https://www.spglobal.com/spdji/en/documents/methodologies/methodology-sp-corelogic-cs-home-price-indices.pdf).

Copyright © 2016, S&P Dow Jones Indices LLC. All rights reserved. Reproduction of Home Price Index for Dallas, Texas in any form is prohibited except with the prior written permission of S&P Dow Jones Indices LLC "S&P". S&P does not guarantee the accuracy, adequacy, completeness or availability of any information and is not responsible for any errors or omissions, regardless of the cause or for the results obtained from the use of such information. S&P DISCLAIMS ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE. In no event shall S&P be liable for any direct, indirect, special or consequential damages, costs, expenses, legal fees, or losses (including lost income or lost profit and opportunity costs) in connection with subscriber's or others' user of Home Price Index for Dallas, Texas.

Permission to reproduce this series can be requested from index_services@spdji.com. More contact details are available from http://us.spindices.com/contact-us/, including phone numbers for all of its regional offices.

Interactive chart of the S&P 500 stock market index since 1927. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

Historical Dataset of Dow Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2003),Total Classroom Teachers Trends Over Years (1990-2002),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2002),Black Student Percentage Comparison Over Years (1989-2003),White Student Percentage Comparison Over Years (1988-2003),Diversity Score Comparison Over Years (1988-2003),Free Lunch Eligibility Comparison Over Years (1993-2003),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2003)

There have been ups and downs in the history of the Dow Jones Industrial Average index (DJIA). Some years brought as much as 30 percent of decrease in its value. Great Recession, however, took the largest toll on the Dow. In 1931, the index lost 52.67 percent of its value.

Index history

Dow Jones Industrial Average index (DJIA) is one of the most important stock market indices worldwide. It was created in 1896 by Charles Dow and Edward Jones. DJIA is the second oldest U.S. stock index after the Dow Jones Transportation Average, which was established in 1984.

Index components

DJIA reflects the performance of thirty large U.S. publicly traded companies. When the index was created, it was primarily composed of industrial companies, hence the index name. With time, the economic situation in the U.S. has changed and apart from industrial companies, which played a huge role in the market in the 19th and the beginning of the 20th century, also companies from other leading industries were incorporated into the index. At present, the DJIA index is composed of most renowned U.S. corporations, such as Coca Cola, Microsoft or Walt Disney.

Graph and download economic data for S&P CoreLogic Case-Shiller TX-Dallas Home Price Index (DAXRSA) from Jan 2000 to Apr 2025 about Dallas, HPI, TX, housing, price index, indexes, price, and USA.

Kentucky has a diverse topography, and analysis of the similarity among biological assemblages across geographic scales can help clarify the inherent biological differences in the state. An a posterioriregional classification scheme based on river basins, physiographic regions and ecoregions has been developed (Pond et al., 2003; Pond and McMurray, 2002; Pond et al., 2000). Bioregions were established to incorporate ecoregion and river basin differences within the state and typically correspond to Level III Ecoregion boundaries (Woods et al., 2002). Due to the strong affinity between fish and river basins, bioregions for fish communities (also called Ichthyoregions) include some finer subdivisions than for macroinvertebrates, algae, and physical habitat (Compton et al., 2003). The bioregions are Mountains (MT; includes Ichthyoregion subdivision Cumberland River above Cumberland Falls, CA), Bluegrass (BG), Mississippi Valley-Interior River (MVIR), and Pennyroyal (PR; includes Ichthyoregion subdivision Upper Green River, GR). Generalized bioregion boundaries are described below. Note that in most cases bioregion boundaries do not follow stream and river networks, so these boundaries should not be considered to be precise in terms of assigning a particular stream segment location. Areas near bioregion boundaries should be examined closely to determine the appropriate classification. A description of the physical, chemical, and biological characteristics of bioregions, as well as guidance for classifying sites in transitional areas can be found in KDOW’s SOP, Bioregions of Kentucky for Water Quality Assessments of Biological Integrity.Mountains (MT) and Cumberland above the Falls (CA)The Mountains bioregion includes all river systems (Big Sandy, Cumberland, Kentucky, Licking, Little Sandy and minor tributaries of the Ohio River) within the boundaries of the Western Allegheny Plateau ecoregion (70) and Central and Southwestern Appalachian ecoregions (69 and 68). Portions of the Central and Southwestern Appalachian ecoregions that are within the Cumberland River system and upstream of Cumberland Falls are categorized as a separate bioregion with respect to fish, Cumberland Above the Falls (CA).Bluegrass (BG) The Bluegrass bioregion includes all river systems (Kentucky, Licking, Salt and minor tributaries of the Ohio River) that lie within sub-ecoregions (Level IV ecoregions) 71d, 71k, and 71l of the Interior Plateau ecoregion (71).Pennyroyal (PR) and Upper Green River (GR)Includes all river systems (Cumberland, Green, Kentucky, Salt, Tradewater, Tennessee and the minor tributaries of the Ohio River) that lie within sub-ecoregions (71a, b, c, e, f, g, and h) of the Interior Plateau (71). The portion of the Green River system that falls within sub-ecoregion (Level IV ecoregion) 71g of the Interior Plateau ecoregion (71) is categorized as a separate bioregion with respect to fish, Upper Green River (GR).Mississippi Valley-Interior River (MVIR) Includes all river systems (lower Cumberland, Green, Tradewater, Tennessee, minor tributaries of the Mississippi River and minor tributaries of the Ohio River) within the boundaries of the Interior River Valleys and Hills (72), Mississippi Alluvial Plain (73), and Mississippi Valley Loess Plain (74).Transitional Areas (TR)Most boundaries between bioregions are not distinct. Watersheds or individual sites near boundaries may exhibit characteristics of more than one bioregion in these zones, or portions of these areas may be classifiable to one or another bioregion. HUC12s are marked as “Transitional” on this map where more than one bioregion is spanned by the HUC12 unit. Additionally, some HUC12 units in far western areas of the Pennyroyal bioregion, in sub-ecoregions 71a and 71f, have been marked as Transitional even though they are wholly within the Pennyroyal. These areas have been observed by KDOW to have varied stream types and some streams here are more similar to the neighboring MVIR bioregion. Assignment of watersheds or sites to bioregions in Transitional areas must be made based on examination of local features. KDOW personnel familiar with the physical, chemical, and biological characteristics of bioregions make these assignments following the SOP “Bioregions of Kentucky for Water Quality Assessments of Biological Integrity “. The column “BioregDesc” in the attributes table indicates which specific bioregions are pertinent in Transitional HUC12 units.CitationsCompton, M.C., G.J. Pond, and J.F. Brumley. 2003. Development and application of the Kentucky Index of Biotic Integrity (KIBI). Kentucky Department for Environmental Protection, Division of Water, Frankfort, KY.Pond, G.J., and S.E. McMurray. 2002. A macroinvertebrate bioassessment index for headwater streams of the Eastern Coalfield Region, Kentucky. Kentucky Department for Environmental Protection, Kentucky Division of Water. Frankfort, KY.Pond, G.J., J.F. Brumley, and R.E. Houp. 2000. Preliminary ordination of stream organisms in Kentucky. Abstract in Bull. North Am. Benthol. Soc. 17(1):448.Pond, G.J., S.M. Call, J.F. Brumley, and M.C. Compton. 2003. The Kentucky macroinvertebrate bioassessment index: derivation of regional narrative ratings for assessing wadeable and headwater streams. Kentucky Dept. for Env. Prot., Kentucky Div. of Water, Frankfort, KY.Woods, A. J., J. M. Omernik, W. H. Martin, G. J. Pond, W.M Andrews, S. M. Call, J.A Comstock, and D. D. Taylor. 2002. Ecoregions of Kentucky (2-sided color poster with map, descriptive text, summary tables, and photographs): Reston, VA, U.S. Geological Survey (map scale 1:1,000,000).

This dataset contains several daily features of S&P 500, NASDAQ Composite, Dow Jones Industrial Average, RUSSELL 2000, and NYSE Composite from 2010 to 2017. It covers features from various categories of technical indicators, futures contracts, price of commodities, important indices of markets around the world, price of major companies in the U.S. market, and treasury bill rates. Sources and thorough description of features have been mentioned in the paper of "CNNpred: CNN-based stock market prediction using a diverse set of variables".

Graph and download economic data for Home Price Sales Pair Counts for Dallas, Texas (DAXRPSNSA) from Jan 2000 to Apr 2025 about Dallas, sales, HPI, housing, price index, indexes, price, and USA.