CDFI indicators for Bank Enterprise Award (BEA), Investment Area (IA), and New Market Tax Credit (NMTC) data in the state of Florida. Data provided by US Department of the Treasury’s Community Development Financial Institutions Fund (CDFI).

This service is intended for use at very large scales or for popups with tile cached services.

This data layer is part of Florida’s Roadmap to Living Healthy web map produced by the Florida Department of Agriculture and Consumer Services (FDACS), Division of Food, Nutrition and Wellness (DFNW).For technical assistance, contact the Florida's Roadmap to Healthy Living Administrator

View LSEG's Lipper Fund Research Database, providing independent fund content to benchmark fund performance, manage risk, and more.

This web API contains FY 2001-FY 2016 NSF funding rates for competitive research proposals by organizational unit. The funding rate is calculated by dividing the number of awards by the number of awards and declines.

A service that provides consumers with the alignment between FISMA Systems and Capital Investments. Essentially this represents the funding stream for each system. Capital Investments fund FISMA Systems.

Access data on ownership by institutions, mutual funds, stakeholders, and float for both stocks and bonds on a global scale. Discover comprehensive details about shareholding patterns for equities and fixed-income instruments across the world, including institutional and mutual fund holdings, stakeholder interests, and floating shares. Obtain insights into the distribution of shares held by institutions, mutual funds, stakeholders, and the float for securities worldwide, encompassing both equities and bonds. Explore global share ownership information, covering institutional and mutual fund investments, stakeholder shares, and float-related holdings for both stocks and fixed-income securities.

Funding API filtering out the "No Award" for Status

The Forager.ai Global Private Equity (PE) Funding Data Set is a leading source of firmographic data, backed by advanced AI and offering the highest refresh rate in the industry.

| Volume and Stats |

• Every company record refreshed twice a month, offering an unparalleled update frequency.
• Delivery is made every hour, ensuring you have the latest data at your fingertips.
• Each record is the result of an advanced AI-driven process, ensuring high-quality, accurate data.

| Use Cases |

Sales Platforms, ABM and Intent Data Platforms, Identity Platforms, Data Vendors:

Example applications include:

1. Uncover trending technologies or tools gaining popularity.

2. Pinpoint lucrative business prospects by identifying similar solutions utilized by a specific company.

3. Study a company's tech stacks to understand the technical capability and skills available within that company.

B2B Tech Companies:

• Enrich leads that sign-up through the Company Search API (available separately).
• Identify and map every company that fits your core personas and ICP.
• Build audiences to target, using key fields like location, company size, industry, and description.

Venture Capital and Private Equity:

• Discover new investment opportunities using company descriptions and industry-level data.
• Review the growth of private companies and benchmark their strength against competitors.
• Create high-level views of companies competing in popular verticals for investment.

| Delivery Options |

• Flat files via S3 or GCP
• PostgreSQL Shared Database
• PostgreSQL Managed Database
• API
• Other options available upon request, depending on the scale required

Our dataset provides a unique blend of volume, freshness, and detail that is perfect for Sales Platforms, B2B Tech, VCs & PE firms, Marketing Automation, ABM & Intent. It stands as a cornerstone in our broader data offering, ensuring you have the information you need to drive decision-making and growth.

Tags: Company Data, Company Profiles, Employee Data, Firmographic Data, AI-Driven Data, High Refresh Rate, Company Classification, Private Market Intelligence, Workforce Intelligence, Public Companies.

🌍 Worldwide B2B Company Dataset | 65M+ Verified Records | Firmographics & API Access Power your sales, marketing, and investment strategies with the most comprehensive global B2B company data—verified, AI-driven, and updated bi-weekly.

The Forager.ai Global Company Dataset delivers 65M+ high-quality firmographic records, covering public and private companies worldwide. Leveraging AI-powered validation and bi-weekly updates, our dataset ensures accuracy, freshness, and depth—making it ideal for sales intelligence, market analysis, and CRM enrichment.

📊 Key Features & Coverage ✅ 65M+ Company Records – The largest, most reliable B2B firmographic dataset available. ✅ Bi-Weekly Updates – Stay ahead with refreshed data every two weeks. ✅ AI-Driven Accuracy – Sophisticated algorithms verify and enrich every record. ✅ Global Coverage – Companies across North America, Europe, APAC, and emerging markets.

📋 Core Data Fields: ✔ Company Name, LinkedIn URL, & Domain ✔ Industries ✔ Job postings, Revenue, Employee Size, Funding Status ✔ Location (HQ + Regional Offices) ✔ Tech Stack & Firmographic Signals ✔ LinkedIn Profile details

🎯 Top Use Cases 🔹 Sales & Lead Generation

Build targeted prospect lists using firmographics (size, industry, revenue).

Enhance lead scoring with technographic insights.

🔹 Market & Competitive Intelligence

Track company growth, expansions, and trends.

Benchmark competitors using real-time private company data.

🔹 Venture Capital & Private Equity

Discover investment opportunities with granular sector-level insights.

Monitor portfolio companies and industry shifts.

🔹 ABM & Marketing Automation

Enrich CRM data for hyper-targeted campaigns.

Power intent data and predictive analytics.

⚡ Delivery & Integration Choose the best method for your workflow:

REST API – Real-time access for developers.

Flat Files (CSV, JSON) – Delivered via S3, Wasabi, Snowflake.

Custom Solutions – Scalable enterprise integrations.

🔒 Data Quality & Compliance 95%+ Field Completeness – Minimize gaps in your analysis.

Ethically Sourced – Compliant with GDPR, CCPA, and global privacy laws.

Transparent Licensing – Clear usage terms for peace of mind.

🚀 Why Forager.ai? ✔ AI-Powered Accuracy – Better data, fewer false leads. ✔ Enterprise-Grade Freshness – Bi-weekly updates keep insights relevant. ✔ Flexible Access – API, bulk files, or custom database solutions. ✔ Dedicated Support – Onboarding and SLA-backed assistance.

Tags: B2B Company Data |LinkedIn Job Postings | Firmographics | Global Business Intelligence | Sales Leads | VC & PE Data | Technographics | CRM Enrichment | API Access | AI-Validated Data

API providing data for top institutional holders, mutual fund holders, and insider transactions.

Office of the County Attorney Self Insurance Fund Close Out

The set contains key information about each project: purpose, beneficiary, executor, cost, lender, dynamics of use of funds, as well as the state of preparation and implementation of the project. Information Manager – Ministry of Finance of Ukraine. The data set is available at https://proifi.gov.ua/api/public/projects. Instructions for using API https://proifi.gov.ua/data/api/api_fields.pdf. The set contains key information about each project: purpose, beneficiary, executor, cost, lender, dynamics of use of funds, as well as the state of preparation and implementation of the project. Information Manager – Ministry of Finance of Ukraine. The data set is available at https://proifi.gov.ua/api/public/projects. Instructions for using API https://proifi.gov.ua/data/api/api_fields.pdf. The set contains key information about each project: purpose, beneficiary, executor, cost, lender, dynamics of use of funds, as well as the state of preparation and implementation of the project. Information Manager – Ministry of Finance of Ukraine. The data set is available at https://proifi.gov.ua/api/public/projects. Instructions for using API https://proifi.gov.ua/data/api/api_fields.pdf. The set contains key information about each project: purpose, beneficiary, executor, cost, lender, dynamics of use of funds, as well as the state of preparation and implementation of the project. Information Manager – Ministry of Finance of Ukraine. The data set is available at https://proifi.gov.ua/api/public/projects. Instructions for using API https://proifi.gov.ua/data/api/api_fields.pdf. The set contains key information about each project: purpose, beneficiary, executor, cost, lender, dynamics of use of funds, as well as the state of preparation and implementation of the project. Information Manager – Ministry of Finance of Ukraine. The data set is available at https://proifi.gov.ua/api/public/projects. Instructions for using API https://proifi.gov.ua/data/api/api_fields.pdf. The set contains key information about each project: purpose, beneficiary, executor, cost, lender, dynamics of use of funds, as well as the state of preparation and implementation of the project. Information Manager – Ministry of Finance of Ukraine. The data set is available at https://proifi.gov.ua/api/public/projects. Instructions for using API https://proifi.gov.ua/data/api/api_fields.pdf. The set contains key information about each project: purpose, beneficiary, executor, cost, lender, dynamics of use of funds, as well as the state of preparation and implementation of the project. Information Manager – Ministry of Finance of Ukraine. The data set is available at https://proifi.gov.ua/api/public/projects. Instructions for using API https://proifi.gov.ua/data/api/api_fields.pdf. The set contains key information about each project: purpose, beneficiary, executor, cost, lender, dynamics of use of funds, as well as the state of preparation and implementation of the project. Information Manager – Ministry of Finance of Ukraine. The data set is available at https://proifi.gov.ua/api/public/projects. Instructions for using API https://proifi.gov.ua/data/api/api_fields.pdf.

United Kingdom NFC: Resources: API: PI: OI: Collective Investment Fund Shareholders data was reported at 3.000 GBP mn in Jun 2018. This stayed constant from the previous number of 3.000 GBP mn for Mar 2018. United Kingdom NFC: Resources: API: PI: OI: Collective Investment Fund Shareholders data is updated quarterly, averaging 3.000 GBP mn from Mar 1987 (Median) to Jun 2018, with 126 observations. The data reached an all-time high of 6.000 GBP mn in Dec 2007 and a record low of 0.000 GBP mn in Dec 1989. United Kingdom NFC: Resources: API: PI: OI: Collective Investment Fund Shareholders data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.AB028: ESA10: Resources and Uses: Non Financial Corporations: Primary Income.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

This data represents annual funding allocations through several funding initiatives in The City of Boulder's Housing and Human Services Department. Each year, the Housing and Human Services department makes nearly one hundred community grants through a variety of competitive fund rounds as well as through several sole-source contracts. A data dictionary with descriptions of the fields included in the dataset can be downloaded here.To see data separated by each of the department’s funding initiatives with some additional fields that are unique to each program, please click on the links below:Human Services Fund FundingHealth Equity Fund FundingYouth Opportunity Programs FundingHuman Relations Commission FundingTo learn more about the department’s various community funding initiatives, please visit: https://bouldercolorado.gov/human-services/community-funding.

United Kingdom PF: RC: API: PI: OI: Collective Inv Fund Share (CI) data was reported at 0.000 GBP mn in Jun 2018. This stayed constant from the previous number of 0.000 GBP mn for Mar 2018. United Kingdom PF: RC: API: PI: OI: Collective Inv Fund Share (CI) data is updated quarterly, averaging 0.000 GBP mn from Mar 1987 (Median) to Jun 2018, with 126 observations. United Kingdom PF: RC: API: PI: OI: Collective Inv Fund Share (CI) data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s United Kingdom – Table UK.AB031: ESA10: Resources and Uses: Public Non Financial Corporations: Primary Income.

Analysis of ‘NSF Funding Rate History Web API’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/1f7ad0e5-6c79-43d3-b52d-dabad9883e9e on 26 January 2022.

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

This web API contains FY 2001-FY 2016 NSF funding rates for competitive research proposals by organizational unit. The funding rate is calculated by dividing the number of awards by the number of awards and declines.

--- Original source retains full ownership of the source dataset ---

Lucror Analytics: Proprietary Hedge Funds Data for Credit Quality & Bond Valuation

At Lucror Analytics, we provide cutting-edge corporate data solutions tailored to fixed income professionals and organizations in the financial sector. Our datasets encompass issuer and issue-level credit quality, bond fair value metrics, and proprietary scores designed to offer nuanced, actionable insights into global bond markets that help you stay ahead of the curve. Covering over 3,300 global issuers and over 80,000 bonds, we empower our clients to make data-driven decisions with confidence and precision.

By leveraging our proprietary C-Score, V-Score , and V-Score I models, which utilize CDS and OAS data, we provide unparalleled granularity in credit analysis and valuation. Whether you are a portfolio manager, credit analyst, or institutional investor, Lucror’s data solutions deliver actionable insights to enhance strategies, identify mispricing opportunities, and assess market trends.

What Makes Lucror’s Hedge Funds Data Unique?

Proprietary Credit and Valuation Models Our proprietary C-Score, V-Score, and V-Score I are designed to provide a deeper understanding of credit quality and bond valuation:

C-Score: A composite score (0-100) reflecting an issuer's credit quality based on market pricing signals such as CDS spreads. Responsive to near-real-time market changes, the C-Score offers granular differentiation within and across credit rating categories, helping investors identify mispricing opportunities.

V-Score: Measures the deviation of an issue’s option-adjusted spread (OAS) from the market fair value, indicating whether a bond is overvalued or undervalued relative to the market.

V-Score I: Similar to the V-Score but benchmarked against industry-specific fair value OAS, offering insights into relative valuation within an industry context.

Comprehensive Global Coverage Our datasets cover over 3,300 issuers and 80,000 bonds across global markets, ensuring 90%+ overlap with prominent IG and HY benchmark indices. This extensive coverage provides valuable insights into issuers across sectors and geographies, enabling users to analyze issuer and market dynamics comprehensively.

Data Customization and Flexibility We recognize that different users have unique requirements. Lucror Analytics offers tailored datasets delivered in customizable formats, frequencies, and levels of granularity, ensuring that our data integrates seamlessly into your workflows.

High-Frequency, High-Quality Data Our C-Score, V-Score, and V-Score I models and metrics are updated daily using end-of-day (EOD) data from S&P. This ensures that users have access to current and accurate information, empowering timely and informed decision-making.

How Is the Data Sourced? Lucror Analytics employs a rigorous methodology to source, structure, transform and process data, ensuring reliability and actionable insights:

Proprietary Models: Our scores are derived from proprietary quant algorithms based on CDS spreads, OAS, and other issuer and bond data.

Global Data Partnerships: Our collaborations with S&P and other reputable data providers ensure comprehensive and accurate datasets.

Data Cleaning and Structuring: Advanced processes ensure data integrity, transforming raw inputs into actionable insights.

Primary Use Cases

1. Portfolio Construction & Rebalancing Lucror’s C-Score provides a granular view of issuer credit quality, allowing portfolio managers to evaluate risks and identify mispricing opportunities. With CDS-driven insights and daily updates, clients can incorporate near-real-time issuer/bond movements into their credit assessments.

2. Portfolio Optimization The V-Score and V-Score I allow portfolio managers to identify undervalued or overvalued bonds, supporting strategies that optimize returns relative to credit risk. By benchmarking valuations against market and industry standards, users can uncover potential mean-reversion opportunities and enhance portfolio performance.

3. Risk Management With data updated daily, Lucror’s models provide dynamic insights into market risks. Organizations can use this data to monitor shifts in credit quality, assess valuation anomalies, and adjust exposure proactively.

4. Strategic Decision-Making Our comprehensive datasets enable financial institutions to make informed strategic decisions. Whether it’s assessing the fair value of bonds, analyzing industry-specific credit spreads, or understanding broader market trends, Lucror’s data delivers the depth and accuracy required for success.

Why Choose Lucror Analytics for Hedge Funds Data? Lucror Analytics is committed to providing high-quality, actionable data solutions tailored to the evolving needs of the financial sector. Our unique combination of proprietary models, rigorous sourcing of high-quality data, and customizable delivery ensures that users have the insights they need to make smarter dec...

The dataset contains locations and attributes of Neighborhood Investment Fund Areas (NIF).The Neighborhood Investment Fund is an annual, non-lapsing fund to finance economic development and neighborhood revitalization in 12 targeted areas of the District. The fund is capitalized by an annual contribution of 15 percent of the personal property tax, not to exceed $10 million. The Neighborhood Investment Fund supports neighborhood revitalization through the Target Area Grant Program (TAPG) and Predevelopment and Project Grants (PDG).

Table of INEBase Expenditures on internal R&D by execution sector and origin of funds. National. Statistics on Biotechnology Use

This performance measure had changed to reflect a different approach to tracking how the City is determining the success of its Capital Improvement Program (CIP). Historically, the measure tracked spending on CIP construction projects each year. However, as economic conditions may change significantly from the time the CIP program is developed to when project spending actually occurs, the capacity to complete all programs as envisioned may be impacted. As a result, new criteria and data has been developed to track how reliably projects are completed starting after a project’s design phase and when construction has begun, which is more under the City’s control.The City’s Capital Improvement Program (CIP) strives to optimize the use of limited resources, both financial and operational, to best meet the capital needs of the City. One key factor in assessing the City’s fiscal capacity to fund projects is the ability to determine the amount of budgeted funds that will be spent or encumbered in the fiscal year. Sound Capital planning includes accurate project cost estimates and timing the funding of projects to coincide with the organization’s capacity to complete the project. These practices limit the amount of funds tied up but not used in a fiscal year, which could have been used for other needs.This page provides data for the CIP Funds Spent or Encumbered performance measure.Provides quarterly updates on the progress on the percent of the annual CIP budget that has been spent or encumbered. Data includes the budget, expenditures and encumbrances.The performance measure dashboard is available at 5.09 CIP Funds Spent or Encumbered.Additional InformationSource: PeopleSoft FinancialsContact: Benicia BensonContact E-Mail: Benicia_Benson@tempe.govData Source Type: ExcelPreparation Method: Data is downloaded from PS Financials via a query. Budgeted amounts for contingency are deducted to derive the measurable budget amount.Publish Frequency: QuarterlyPublish Method: ManualData Dictionary