1) Raw parcel-level habitat data for the South Carolina Lowcountry surrounding Cape Romain NWR and Francis Marion NF, from current current conditions and for three projected sea-level rise futures based on SLAMM model outputs, NLCD land cover and the projected distribution of sea levels for 2050. 2) a table of parcel identification numbers (without georeference) with parcel size (Ha) and sub-group identity. 3) Optimization-model derived reserve design portfolios that define the Pareto-optimal frontier for each sub-group and for four budget scenarios along axes of reserve design benefits and risk.

Graph and download economic data for U.S. Liabilities: Portfolio Investment (IIPPORTLQ) from Q1 2006 to Q1 2025 about liabilities, investment, and USA.

Multifamily Portfolio datasets (section 8 contracts) - The information has been compiled from multiple data sources within FHA or its contractors. HUD oversees more than 22,000 privately owned multifamily properties, and more than 1.4 million assisted housing units. These homes were originally financed with FHA-insured or Direct Loans and many are supported with Section 8 or other rental assistance contracts. Our existing stock of affordable rental housing is a critical resource for seniors and families who otherwise would not have access to safe, decent places to call home.

This table contains 76 series, with data for years 1990 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Sector (11 items: Total all sectors;Governments and government enterprises;Federal government;Governments ...), Type of portfolio investment and other investments (9 items: Total of portfolio investment and other investment;Portfolio investment; bonds;Portfolio investment; stocks (corporations only);Portfolio investment ...).

This data shows the Net Portfolio Investment By Blocks of Countries, 2008 - 2023 (Q2) (Quarterly). Footnote: Data for year 2021 are Final Data for year 2022 are Revised Data for year 2023 are Preliminary Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 37

Key information about Indonesia Foreign Portfolio Investment: % of GDP

• Indonesia Foreign Portfolio Investment: % of GDP was reported at -0.6 % in Dec 2024.
• This records a decrease from the previous number of 3.0 % for Sep 2024.
• Indonesia Foreign Portfolio Investment: % of GDP data is updated quarterly, averaging 1.5 % from Mar 2004 to Dec 2024, with 84 observations.
• The data reached an all-time high of 5.3 % in Jun 2007 and a record low of -3.4 % in Dec 2008.
• Indonesia Foreign Portfolio Investment: % of GDP data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Foreign Portfolio Investment: % of Nominal GDP: Quarterly.

CEIC calculates quarterly Foreign Portfolio Investment as % of Nominal GDP from quarterly Foreign Portfolio Investment and quarterly Nominal GDP. Bank Indonesia provides Foreign Portfolio Investment in USD. Statistics Indonesia provides Nominal GDP in local currency. Bank Indonesia average market exchange rate is used for currency conversions. Foreign Portfolio Investment as % of Nominal GDP prior to Q1 2010 is calculated from Foreign Portfolio Investment based on BPM5 and Nominal GDP based on SNA 1993.

The international investment position (IIP) is a statistical statement that shows at a point in time the value and composition of: -financial assets of residents of an economy that are claims on non-residents and gold bullion held as reserve assets, and -liabilities of residents of an economy to non-residents. The difference between an economy’s external financial assets and liabilities is the economy’s net IIP, which may be positive or negative. According to the functional category, the cross-border financial positions are classified as: 1) For the assets - Direct investment; Portfolio investment; Financial derivatives and employee stock options ; Other investment and Reserve assets 2) For the liabilities - Direct investment; Portfolio investment; Financial derivatives and employee stock options and Other investment The financial positions are further classified according to the different instruments and institutional sectors. The data on portfolio investment are expressed in million units of national currency. The indicator is based on the Eurostat data from the Balance of payment statistics, these data are quaterly reported to the ECB by the EU Member States. Definitions are based on the IMF Sixth Balance of Payments Manual (BPM6). Copyright notice and free re-use of data on: https://ec.europa.eu/eurostat/about-us/policies/copyright

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

Key information about Mexico Foreign Portfolio Investment: % of GDP

• Mexico Foreign Portfolio Investment: % of GDP was reported at -0.0 % in Dec 2024.
• This records a decrease from the previous number of 0.6 % for Sep 2024.
• Mexico Foreign Portfolio Investment: % of GDP data is updated quarterly, averaging 1.0 % from Mar 1993 to Dec 2024, with 128 observations.
• The data reached an all-time high of 8.4 % in Sep 1996 and a record low of -8.3 % in Mar 1995.
• Mexico Foreign Portfolio Investment: % of GDP data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Foreign Portfolio Investment: % of Nominal GDP: Quarterly.

CEIC calculates quarterly Foreign Portfolio Investment as % of Nominal GDP from quarterly Foreign Portfolio Investment and quarterly de-annualized Nominal GDP. The Bank of Mexico provides Foreign Portfolio Investment in USD based on BPM6. The National Institute of Statistics and Geography provides annualized Nominal GDP in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Foreign Portfolio Investment as % of Nominal GDP prior to Q1 2002 is calculated from Foreign Portfolio Investment based on BPM5.

The Portfolio Investment Positions by Counterpart Economy dataset (formerly Coordinated Portfolio Investment Survey, or CPIS) is a voluntary data collection exercise conducted under the auspices of the IMF. To participate, an economy provides data on its holdings of portfolio investment securities (data are separately requested for equity and investment fund shares, long-term debt instruments, and short-term debt instruments). The survey covers end-December holdings from 2001 to date and end-June holdings beginning with data for end-June 2013. All economies are welcome to participate. The IMF augments the data that are reported in the dataset with aggregated data from two other surveys, i.e., Securities Held as Foreign Exchange Reserves (SEFER), and Securities Held by International Organizations (SSIO). SEFER provides geographic and instrument detail on securities that are held as reserve assets, and SSIO provides the geographic and instrument detail on securities that are held by international organizations. Similar to the Portfolio Investment Positions by Counterpart Economy, SEFER is conducted semi-annually starting with data for end-June 2013, whereas SSIO is conducted annually. Data from the portfolio investment positions by counterpart economy (formerly CPIS) and SSIO surveys provide comprehensive information on holdings of portfolio investment securities and, together with aggregated data from the SEFER survey, the geographic detail captured in these three surveys can be used to derive estimates of portfolio investment liabilities. In response to requests from data users, a number of enhancements to the Portfolio Investment Positions by Counterpart Economy (formerly CPIS) were implemented starting with data for end-June 2013. These enhancements include increased frequency (as noted above, semi-annual - data collections were implemented), improved timeliness (acceleration in both the collection and re- dissemination of data), and expanded scope (collection of data on an encouraged basis on the institutional sector of the nonresident issuer of securities; on short or negative positions; and on the institutional sector of the resident holder cross-classified by the institutional sector of selected nonresident issuers).

Key information about Taiwan Foreign Portfolio Investment: % of GDP

• Taiwan Foreign Portfolio Investment: % of GDP was reported at -3.2 % in Dec 2024.
• This records an increase from the previous number of -7.8 % for Sep 2024.
• Taiwan Foreign Portfolio Investment: % of GDP data is updated quarterly, averaging 0.2 % from Mar 1981 to Dec 2024, with 176 observations.
• The data reached an all-time high of 16.8 % in Sep 2003 and a record low of -14.7 % in Sep 2008.
• Taiwan Foreign Portfolio Investment: % of GDP data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Foreign Portfolio Investment: % of Nominal GDP: Quarterly.

CEIC calculates quarterly Foreign Portfolio Investment as % of Nominal GDP from quarterly Foreign Portfolio Investment and quarterly Nominal GDP. The Central Bank of the Republic of China provides Foreign Portfolio Investment in USD based on BPM6. The Directorate-General of Budget, Accounting and Statistics, Executive Yuan provides Nominal GDP in USD. Foreign Portfolio Investment as % of Nominal GDP prior to Q1 1984 is calculated from Foreign Portfolio Investment based on BPM5.

Treasury plans to sell up to $10 billion of securities per month, subject to market conditions. This is in addition to principal paydowns (currently ranging between $2 and $4 billion per month). If the sales proceeded at the full $10 billion per month, the portfolio would be unwound in whole over approximately one year, depending on future rates of prepayments. If market conditions change and Treasury slows asset sales, it is possible that the unwind will take a longer period of time. Shows range of prices MBS securities were purchased for.

Key information about Canada Foreign Portfolio Investment

• Canada Foreign Portfolio Investment increased by 35.588 USD bn in Dec 2024, compared with an increase of 38.604 USD bn in the previous quarter.
• Canada Foreign Portfolio Investment: USD mn data is updated quarterly, available from Mar 1950 to Dec 2024.
• The data reached an all-time high of 72.696 USD bn in Dec 2021 and a record low of -24.577 USD bn in Dec 2007.

CEIC converts quarterly Foreign Portfolio Investment into USD. The Statistics Canada provides Foreign Portfolio Investment in local currency. Federal Reserve Board average market exchange rate is used for currency conversions. Foreign Portfolio Investment prior to Q1 1981 is sourced from the International Monetary Fund.


Related information about Canada Foreign Portfolio Investment

• In the latest reports of Canada, Current Account recorded a deficit of 4.561 USD bn in Mar 2023.
• Foreign Direct Investment (FDI) increased by 20.003 USD bn in Dec 2024.
• Canada Direct Investment Abroad expanded by 28.454 USD bn in Dec 2024.
• The country's Nominal GDP was reported at 520.295 USD bn in Mar 2023.

The 2016-17 Budget, including related papers such as the Portfolio Additional Estimates Statements (PAES), is officially available at http://www.budget.gov.au. The PAES inform Parliament of changes to the proposed allocation of resources since the 2016-17 Budget. The PAES, annual Appropriation Bills (Nos. 3 and 4) and Appropriation (Parliamentary Departments) Bill (No. 2) are tabled in Parliament usually in mid-February each year. The annual Appropriation Bills (Nos. 3 and 4) and Appropriation (Parliamentary Departments) Bill (No. 2) require that the Portfolio Budget Statements and PAES be taken into account when interpreting the appropriated items in the Schedules. Please note that not all portfolios prepare a PAES. Only those entities that are seeking additional funding for through Appropriation Bills (Nos. 3 and 4) are required to produce a PAES. The PAES incorporate measures announced since the 2016-17 Budget, including those announced in the Mid-Year Economic and Fiscal Outlook (MYEFO). The data for the 2016-17 PAES has been made available to assist those who wish to analyse the financial information published in the PAES. Footnotes have also been included as published in the files to assist in interpreting the data.

This data shows the Net Portfolio Investment By Blocks of Countries, 2008 - 2023 (Annually). Footnote: Data for year 2021 are Final Data for year 2022 are Revised Data for year 2023 are Preliminary from January - June 2023 Source: Department of Statistics Malaysia and Bank Negara Malaysia No. of Views : 37

Comprehensive database of investment portfolios from top investors and superinvestors

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Project Portfolio Management (PPM) Software Market Size 2025-2029

The project portfolio management (ppm) software market size is forecast to increase by USD 4.79 billion, at a CAGR of 16% between 2024 and 2029.

The market is witnessing significant growth due to the increasing need for large-scale project management. Businesses are recognizing the importance of effectively managing multiple projects to optimize resources, prioritize initiatives, and align projects with organizational goals. A key trend driving this market is the application of lean management techniques in PPM. Lean methodologies enable organizations to streamline processes, reduce waste, and improve efficiency, making them an attractive option for managing complex project portfolios. However, the PPM software market faces challenges from open-source platforms. These solutions offer cost advantages and flexibility, making them a viable alternative for some organizations.
To compete, PPM software companies must focus on providing value-added features, superior user experience, and robust integration capabilities that cannot be easily replicated by open-source alternatives. Companies seeking to capitalize on market opportunities and navigate challenges effectively should consider investing in advanced PPM solutions that offer agility, scalability, and seamless collaboration to manage their project portfolios more efficiently and effectively.

What will be the Size of the PPM Software Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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PPM software continues to be a dynamic and evolving market, with ongoing activities and patterns shaping its applications across various sectors. Seamlessly integrating project success rates into the discussion, PPM solutions have proven essential in mitigating project cost overruns and ensuring efficient collaboration through advanced tools. Project delivery time is optimized with agile methodologies, user permissions, workflow automation, and task management. Risk management, project status reporting, and ROI measurement are crucial components, enabling effective resource allocation and budget management. Security features, change management, and project portfolio optimization further enhance the value of these solutions. Support and training services ensure successful implementation, while cloud-based PPM software and mobile applications offer flexibility and accessibility.

APIs, integration, and reporting & analytics capabilities contribute to streamlined project lifecycle management and project scheduling. Performance metrics, issue tracking, and data privacy are essential elements, addressing the growing need for data security and resource optimization. The market continues to unfold, with ongoing advancements in waterfall methodologies, implementation services, and on-premise PPM software.

How is this Project Portfolio Management (PPM) Software Industry segmented?

The project portfolio management (ppm) software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  On-premises
  Cloud-based


End-user

  BFSI
  Information and technology
  Healthcare
  Construction and infrastructure
  Others


Platform

  Software
  Services


Sector

  Large enterprise
  SMEs


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

PPM software is a crucial tool for businesses to manage complex projects, optimize resources, and ensure project delivery on time and within budget. The market for PPM software is dynamic, with various entities shaping its trends. On-premises PPM software, which is installed and operated on an organization's premises, dominates the market due to its ability to meet the unique requirements of large enterprises. It offers features like project governance, risk management, change management, project status reporting, and budget management. Agile methodologies and workflow automation are also integral to PPM software, enabling efficient collaboration and resource allocation.

Security features are a priority, with data privacy and security being essential considerations. Mobile PPM applications and API integrations are increasingly popular, enhancing flexibility and integration with other business systems. Cloud-based PPM software is also gaining traction, offering benefits like cost savings and ease of use. Pr

Colombia Credit Cards: Portfolio Balance: Personal data was reported at 28,401,656.313 Unit in Mar 2019. This records an increase from the previous number of 28,180,970.147 Unit for Feb 2019. Colombia Credit Cards: Portfolio Balance: Personal data is updated monthly, averaging 24,887,867.809 Unit from Jan 2015 (Median) to Mar 2019, with 51 observations. The data reached an all-time high of 28,492,095.621 Unit in Nov 2018 and a record low of 19,209,626.374 Unit in Feb 2015. Colombia Credit Cards: Portfolio Balance: Personal data remains active status in CEIC and is reported by Banking and Financial Institution Association of Colombia. The data is categorized under Global Database’s Colombia – Table CO.KB018: Credit Card Statistics.

Lucror Analytics: Proprietary Bond Data 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 Bond 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 Bond Data 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? 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 decisions.

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