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.

France's main stock market index, the FR40, fell to 7546 points on August 1, 2025, losing 2.91% from the previous session. Over the past month, the index has declined 2.48%, though it remains 4.06% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on August of 2025.

Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

The Office of Policy and Management (OPM) prepares the Public Investment Community (PIC) index not later than July 15 annually, pursuant to §7-545 of the Connecticut General Statutes (CGS). The PIC index measures the relative wealth and need of Connecticut’s towns by ranking them in descending order by their cumulative point allocations for: (1) per capita income; (2) adjusted equalized net grand list per capita; (3) equalized mill rate; (4) per capita aid to children receiving Temporary Family Assistance program benefits; and (5) unemployment rate. Pursuant to CGS §7-545 the PIC index includes each town that has a cumulative point ranking in the top quartile of the PIC Index (i.e. the 42 towns with the highest number of points). When a town’s ranking falls below the top quartile in a given fiscal year, the town's designation as a Public Investment Community continues for that year and the following four fiscal years. As a result, the PIC index includes certain towns carried over from previous fiscal years (indicated in the data as "grandfathered"). The PIC index determines eligibility for several financial assistance programs that various agencies administer, including: -Urban Action Bond Assistance -Small Town Economic Assistance Program -Community Economic Development Program -Residential Mortgage Guarantee Program -Education Cost Sharing -Malpractice Insurance Purchase Program -Connecticut Manufacturing Innovation Fund -Enterprise Corridor Zone Designation Most of the towns included on the PIC index are eligible to elect for assistance under the Small Town Economic Assistance Program (STEAP) in lieu of Urban Action Bond assistance, pursuant to CGS §4-66g(b). An eligible town’s legislative body (or its board of selectmen if the town’s legislative body is the town meeting) must vote to choose STEAP assistance and the town must notify OPM following the vote. STEAP election is valid for four years and the statute allows extensions for additional four-year periods.

The Case Mix Index (CMI) is the average relative DRG weight of a hospital’s inpatient discharges, calculated by summing the Medicare Severity-Diagnosis Related Group (MS-DRG) weight for each discharge and dividing the total by the number of discharges. The CMI reflects the diversity, clinical complexity, and resource needs of all the patients in the hospital. A higher CMI indicates a more complex and resource-intensive case load. Although the MS-DRG weights, provided by the Centers for Medicare & Medicaid Services (CMS), were designed for the Medicare population, they are applied here to all discharges regardless of payer. Note: It is not meaningful to add the CMI values together.

Acoustic monitoring captures the sound of nature, revealing biodiversity patterns and underlying drivers. Acoustic indices are increasingly used to analyse obtained recordings, but studies show inconsistent performance of acoustic indices as biodiversity indicators. Here, we develop a conceptual framework on what acoustic indices reflect, including sound sources as well as their direct and indirect drivers. We evaluate our framework using recordings from six land use types and old growth forest sites in north-eastern Madagascar. We found the highest correlation (adj. R² > 0.51) of Acoustic Diversity Index and Acoustic Entropy with endemic multi-taxa species richness, canopy closure, and vegetation density. The results suggest that including multiple taxa strengthens the association between the indices and species richness, potentially accounting for unobserved vocalising taxa, and that acoustic indices indicate habitat quality, reflecting underlying indirect and direct drivers affecting biodiversity. Yet, some acoustic indices are limited by saturation and their sensitivity is too low to detect small changes in biodiversity (i.e., loss of few species).

Leading Economic Index Honduras increased 3.50 percent in May of 2025 over the same month in the previous year. This dataset provides - Honduras Leading Economic Index- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Euro Area's main stock market index, the EU50, fell to 5174 points on August 1, 2025, losing 2.80% from the previous session. Over the past month, the index has declined 2.72%, though it remains 11.54% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Euro Area. Euro Area Stock Market Index (EU50) - values, historical data, forecasts and news - updated on August of 2025.

Ratings are based on percent positive scores of the survey items that make up each index. The ratings provide a reliable assessment of where agencies rank on the Employee Engagement Index, Global Satisfaction Index, and Performance Confidence Index. A review of results on the various items that comprise each index provides agencies with a richer understanding of aspects of the workplace (e.g., management practices) that employees perceive as effective versus those which should be developed and improved. Subindex scores are calculated by averaging the unrounded percent positive of each of the items in the subindex. To view index ratings, select from the options below.

Spain's main stock market index, the ES35, fell to 14127 points on August 1, 2025, losing 1.88% from the previous session. Over the past month, the index has climbed 0.58% and is up 32.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Spain. Spain Stock Market Index (ES35) - values, historical data, forecasts and news - updated on August of 2025.

NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Staples Index data was reported at 1,470.920 NA in Apr 2025. This records a decrease from the previous number of 1,482.620 NA for Mar 2025. NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Staples Index data is updated monthly, averaging 1,276.255 NA from Sep 2020 (Median) to Apr 2025, with 56 observations. The data reached an all-time high of 1,482.620 NA in Mar 2025 and a record low of 974.100 NA in Oct 2020. NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Staples 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: NASDAQ: Total Return: Monthly.

United States Index: NYSE Financial data was reported at 7,713.770 31Dec2002=5000 in Nov 2018. This records an increase from the previous number of 7,543.040 31Dec2002=5000 for Oct 2018. United States Index: NYSE Financial data is updated monthly, averaging 6,396.895 31Dec2002=5000 from Dec 2002 (Median) to Nov 2018, with 192 observations. The data reached an all-time high of 9,933.900 31Dec2002=5000 in May 2007 and a record low of 2,518.780 31Dec2002=5000 in Feb 2009. United States Index: NYSE Financial data remains active status in CEIC and is reported by New York Stock Exchange. The data is categorized under Global Database’s United States – Table US.Z001: NYSE: Indexes.

UA: Index: Share Price (End of Period) data was reported at 32.311 2010=100 in 2017. This records an increase from the previous number of 27.193 2010=100 for 2016. UA: Index: Share Price (End of Period) data is updated yearly, averaging 30.867 2010=100 from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 120.402 2010=100 in 2007 and a record low of 2.211 2010=100 in 1998. UA: Index: Share Price (End of Period) data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Ukraine – Table UA.IMF.IFS: Share Price Index: Annual.

This dataset provides values for INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The real-time index database market is experiencing robust growth, driven by the increasing demand for immediate insights from large volumes of data across diverse sectors. The market's expansion is fueled by the proliferation of IoT devices generating massive real-time data streams, the need for faster decision-making in competitive environments, and the rise of sophisticated analytics applications requiring rapid data access. Cloud-based solutions dominate the market due to their scalability, cost-effectiveness, and ease of deployment, attracting both individual users and large enterprises. However, concerns around data security and latency in cloud-based systems present some restraints. The on-premises segment, while smaller, continues to cater to businesses with stringent data sovereignty requirements or those managing exceptionally sensitive information. Key players like Elastic, Amazon Web Services, Apache Solr, Splunk, and Microsoft are shaping the market landscape through continuous innovation and competitive offerings. Geographic distribution reflects the concentration of technological infrastructure and data generation, with North America and Europe currently leading the market, followed by the Asia-Pacific region showing significant potential for future growth. The market's Compound Annual Growth Rate (CAGR) suggests a consistent upward trajectory, indicating continued investment and market expansion throughout the forecast period. The competitive dynamics are marked by a mix of established players and emerging entrants. Established players leverage their existing infrastructure and customer bases, while new entrants focus on niche areas and innovative solutions. The market is also witnessing increased adoption of hybrid models combining cloud and on-premises solutions to balance cost-efficiency, security, and performance. Future growth will depend on technological advancements, particularly in areas like distributed ledger technology and edge computing, which will enhance the real-time capabilities and scalability of index databases. Furthermore, the increasing focus on data governance and regulatory compliance will also influence market adoption and shape the development of future solutions. The market is anticipated to witness a sustained period of growth, fueled by the ever-growing demand for real-time data analytics and insights across various sectors and regions.

The trophic state index (TSI) serves as a key indicator for understanding the spatial pattern and temporal variation in lake eutrophication, which has not been fully explored for long-term environmental monitoring, especially for small and medium lakes. Landsat satellites provide the capability of monitoring the temporal and spatial distribution of small lakes with a 30 m spatial resolution, which offers an effective complement. Here we generated a dataset of TSI for lakes in China (CNLTSI) using Landsat archives (Landsat-5 TM, Landsat-7 ETM+, and Landsat-8 OLI) from 1984 to 2023, which contains 2693 predominantly small to medium nationwide lakes in China in the past 4 decades. The dataset produced has a spatial resolution of 30 m and varying temporal resolution due to differences in satellite overpasses and cloud interference.

China's main stock market index, the SHANGHAI, fell to 3560 points on August 1, 2025, losing 0.37% from the previous session. Over the past month, the index has climbed 3.04% and is up 22.53% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on August of 2025.

About this dataset

Context

The dataset tabulates the Index population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Index. The dataset can be utilized to understand the population distribution of Index by age. For example, using this dataset, we can identify the largest age group in Index.

Key observations

The largest age group in Index, WA was for the group of age 10 to 14 years years with a population of 24 (14.63%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Index, WA was the Under 5 years years with a population of 0 (0%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Index is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Index total population. 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 Index Population by Age. You can refer the same here

1) Data Introduction • The AI Global Index Dataset is a comprehensive index that benchmarks 62 countries based on the level of AI investment, innovation, and implementation, including seven key indicators (human resources, infrastructure, operational environment, research, development, government strategy, commercialization) and general information by country (region, cluster, income group, political system).

2) Data Utilization (1) AI Global Index Dataset has characteristics that: • This dataset consists of a total of 13 columns with 5 categorical variables (regions, clusters, etc.) and 8 numerical variables (scores for each indicator), covering 62 countries. • The seven key indicators are classified into three pillars: △ implementation (human resources/infrastructure/operational environment) △ innovation (R&D) △ investment (government strategy/commercialization), and assess each country's overall AI ecosystem capabilities in multiple dimensions. (2) AI Global Index Dataset can be used to: • Global AI leadership pattern analysis: Correlation analysis between seven indicators can identify AI strengths and weaknesses by country and perform group comparisons by region and income level. • Machine learning-based predictive model: It can be used for data science education and application, such as country-specific index prediction through regression analysis or classification of AI development types through clustering.

A monthly measure of the volume of services performed by the for-hire transportation sector. The index covers the activities of local mass transit, intercity passenger rail, and passenger air transportation.