Content

Weighted average of the rates received on the interest-bearing assets included in M2. The interest-bearing assets include size of the other checkable deposits, thrift saving deposits, money market mutual fund holdings, and small time deposits that are weighted using their corresponding rates.

The construction of this series was discontinued as of July 12, 2019. The underlying data can be accessed through the following sources: size of the assets can be obtained from the H.6 release (https://www.federalreserve.gov/releases/h6/current/default.htm) published by the Board of Governors, rate on the money market mutual funds from iMoneyNet (https://financialintelligence.informa.com/products-and-services/data-analysis-and-tools/imoneynet), and the remaining rates from the Weekly National Rates and Rate Caps (https://www.fdic.gov/regulations/resources/rates/index.html) from the FDIC website. Listing of the sources is provided for informational purposes only: the Federal Reserve Bank of St. Louis is not associated with any listed private entities and cannot guarantee that the listed data sources will provide the data in the future.

Context

This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

• Update Frequency: This dataset is updated daily.

• Observation Start: 1959-02-01

• Observation End : 2019-06-01

Acknowledgements

This dataset is maintained using FRED's API and Kaggle's API.

Cover photo by Leon Skibitzki on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Ebitda-Per-Share Time Series for Franklin Resources Inc. Franklin Resources, Inc. is a publicly owned asset management holding company. Through its subsidiaries, the firm provides its services to individuals, institutions, pension plans, trusts, and partnerships. It launches equity, fixed income, balanced, and multi-asset mutual funds through its subsidiaries. The firm invests in the public equity, fixed income, and alternative markets. Franklin Resources, Inc. was founded in 1947 and is based in San Mateo, California with an additional office in Calgary, Canada; Dubai, United Arab Emirates; Edinburgh, United Kingdom; Fort Lauderdale, United States; Hyderabad, India; London, United Kingdom; Rancho Cordova, United states; Shanghai, China; Singapore; Stamford, United States; and Vienna, Austria.

Ebitda-Per-Share Time Series for Dexus. Dexus (ASX: DXS) is a leading Australasian fully integrated real asset group, managing a high-quality Australasian real estate and infrastructure portfolio valued at $50.1 billion. The Dexus Platform includes the Dexus listed portfolio and the funds management business. The $14.5 billion listed portfolio includes direct and indirect ownership of office, industrial, retail, healthcare, infrastructure, alternatives and other investments. We manage a further $35.6 billion of investments in our funds management business which connects third party capital with exposure to quality sector specific and diversified real asset products. The funds within this business have a strong track record of delivering performance and benefit from Dexus's Platform capabilities. The Platform's $12.6 billion real estate development pipeline provides the opportunity to grow both the listed and funds' portfolios and enhance future returns. We are deeply connected to our purpose; unlock potential, create tomorrow, reflecting our unique ability to create value for our people, customers, investors and communities over the long term. Sustainability is embedded into the way we do business, focusing on the three priority areas of Customer Prosperity, Climate Action and Enhancing Communities. Dexus is supported by more than 37,000 investors from 26 countries. With more than four decades of expertise in real asset investment, funds management, asset management and development, we have a proven track record in capital and risk management and delivering returns for investors.

The values of any financial assets held including both formal investments, such as bank or building society current or saving accounts, investment vehicles such as Individual Savings Accounts, endowments, stocks and shares, and informal savings.

Cash-Flow-Per-Share Time Series for Nippon Building Fund Inc. Nippon Building Fund Inc. (hereinafter NBF) was formed on March 16, 2001 as an investment corporation under the Law Concerning Investment Trusts and Investment Corporations of Japan (hereinafter the Investment Trust Law of Japan) with Mitsui Fudosan Co., Ltd., Sumitomo Mitsui Trust Bank, Limited. and Nippon Building Fund Management Ltd. (hereinafter NBFM) acting as sponsors. Registration with the Kanto Local Finance Bureau of the Ministry of Finance was completed on May 10, 2001 and NBF started acquisition of office properties on May 23, 2001. NBF is an externally managed real estate fund, formed as an investment corporation. NBFM, as NBF's asset management company, is engaged in acquiring, managing, leasing, and renovating office properties. Mitsui Fudosan Co., Ltd. currently owns 46% of NBFM while Sumitomo Life Insurance Company owns 35% and the remaining 19% is mainly owned by financial institutions. On September 10, 2001, NBF had raised approximately ¥50,000 million through an initial public offering of units. Those units are listed on the J-REIT section of the Tokyo Stock Exchange. As of June 30, 2025, NBF had ownership or beneficiary interests in 68 office properties containing approximately 1,207,586 square meters of rentable office space. As of June 30, 2025, NBF had leased office space to 1,545 tenants engaged in a variety of businesses. The occupancy rate for the office properties was approximately 98.6%.

Share-of-Periods-With-Dividend-Payments-In-Percent Time Series for Charter Hall Group. Charter Hall is Australia's leading fully integrated diversified property investment and funds management group. We use our expertise to access, deploy, manage and invest equity to create value and generate superior returns for our investor customers. We've curated a diverse portfolio of high-quality properties across our core sectors " Office, Industrial & Logistics, Retail and Social Infrastructure. With partnerships and financial discipline at the heart of our approach, we create and invest in places that support our customers, people and communities to grow.

• Name: Characterization of investments profiles on the energy transition for european citizens
• Summary: The dataset contains: (1) surveyee consent form for the study, (2) different scenarios about the energy transition, (3) determinant factors about those scenarios, (4) socioeconomic description of the surveyee, (5) investment decisions, (6) and household characterization/description.
• License: cc-BY-SA
• Acknowledge: These data have been collected in the framework of the WHY project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 891943.
• Disclaimer: The sole responsibility for the content of this publication lies with the authors. It does not necessarily reflect the opinion of the Executive Agency for Small and Medium-sized Enterprises (EASME) or the European commission (Ec). EASME or the Ec are not responsible for any use that may be made of the information contained therein.
• Collection Date: 22/07/2022
• Publication Date: 15/10/2023
• DOI: 10.5281/zenodo.4455198
• Other repositories:
• Author: University of Deusto
• Objective of collection: This data was originally collected to analyze quantitatively the decisions of everyday people in relation to their energy consumption and their reactions to specific political interventions.
• Description: The dataset contains a CSV file file containing data collected from a survey about energy consumption investments. The fields that can be found for each entry are (1) Different scenarios about the energy transition and reactions to those scenarios, (money spent on energy investments, decisions about scenarios, actions taken under a blackout, etc.) (2) Determinant factors about the chosen scenarios in the previous question, which include different choices that could affect your decision about a scenario (3) socioeconomic information about the user (age, country of residence, studies), (4) estimation of the prices of various technologies related to the energy transition and (5) descriptive statistics about the household living situation (gender of user, people living in household, yearly rent, average savings per month, type of house, size of house) and also includes questions about climate change expertise. Next you can found a description of each field in the dataset
  • Section 1 - Scenarios for energy transition.
    • ID90. Rank in order of priority, from top to bottom, in which scenario you will be willing to live or to contribute/invest to make it possible.
    • ID36, ID38, ID43, ID44, ID72. Percentage of money people are willing to spend/save out of their income per scenario
    • ID191, ID192.. Amount of money people would spend based on an assumed case.
    • ID191, ID192. Priority service provision in case of Intermittent energy service. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority for you and 10 stars means it is absolutely necessary for you.
    • [ID325, ID326, ID327, ID328, ID329, ID330, ID331, ID332, ID333, ID334, ID335, ID336, ID337, ID338, ID339, ID340, ID341, ID133, ID242]. Priority service provision in case of Intermittent energy service. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority and 10 stars means it is absolutely necessary.
    • [ID251, ID256, ID257, ID292, ID293, ID294, ID295, ID296, ID297, ID298, ID299, ID301, ID302, ID303, ID304, ID305, ID306, ID250, ID251]. Priority service provision in case of full black-outs. Rating energy services from 0 to 10 stars, where 0 stars means it is extremely low priority and 10 stars means it is absolutely necessary.
    • [ID141, ID5, ID147]. Used for statements that best represent survey responder

      </li>
      <li><strong>Section 2 - Determinants (factors).</strong> Questions used to rate (from 0 to 100) factors that may influence the decision-making process contributing to make an ideal scenario possible.
      <ul>
        <li><strong>ID100</strong> Risk profile</li>
        <li><strong>ID101</strong> Added value</li>
        <li><strong>ID102</strong> Self-Satisfaction</li>
        <li><strong>ID103</strong> Technical Fit</li>
        <li><strong>ID104</strong> Own competence</li>
        <li><strong>ID105</strong> Knowledge</li>
        <li><strong>ID106</strong> Cost-Efficiency</li>
        <li><strong>ID107</strong> Safety</li>
        <li><strong>ID108</strong> Trust</li>
        <li><strong>ID109</strong> Autarky</li>
        <li><strong>ID110</strong> Legal</li>
        <li><strong>ID111</strong> Climate Protection</li>
        <li><strong>ID112</strong> Wellbeing</li>
        <li><strong>ID113</strong> Coziness</li>
        <li><strong>ID114</strong> Rights and Duties</li>
        <li><strong>ID115</strong> Peer-Pressure</li>
        <li><strong>ID116</strong> Socialising</li>
        <li><strong>ID117</strong> Support</li>
        <li><strong>ID118</strong> Agreement</li>
        <li><strong>ID119</strong> Brag</li>
        <li><strong>ID120</strong> Fun</li>
        <li><strong>ID121</strong> Novelty</li>
        <li><strong>ID122</strong> Trends</li>
        <li><strong>ID123</strong> Authority</li>
        <li><strong>ID124</strong> Own Significance</li>
        <li><strong>ID125</strong> Poseur</li>
        <li><strong>ID2</strong> Frugality</li>
        <li><strong>ID3</strong> Environmental concerns</li>
        <li><strong>ID31</strong> Adherence</li>
        <li><strong>ID52</strong> Commitment</li>
        <li><strong>ID97</strong> Profits</li>
        <li><strong>ID99</strong> Credit Score</li>
      </ul>
      </li>
      <li><strong>Section 3 - “Socio-economic” description. </strong>Questions about the socio-economic information of the survey respondents for data stratification. The indentation represents the dependency of questions and whether this data was asked
      <ul>
        <li><strong>ID164</strong> Understanding of questions</li>
        <li><strong>ID300</strong> Country of residence</li>
        <li><strong>ID137</strong> Age</li>
        <li><strong>ID178</strong> Highest level of education</li>
        <li><strong>ID136</strong> Willingness to provide data on the investment decision (respond apply for -Investment decision section)</li>
      </ul>
      </li>
      <li><strong>Section 4 - Investment decision</strong>. Questions about specific prices of potential purchases-decisions related to four scenarios (respondent's lifestyle)
      <ul>
        <li>Appliances
        <ul>
          <li><strong>ID42</strong> Affordable cost of a Regular refrigerator</li>
          <li><strong>ID45</strong> Energy efficient refrigerator costs</li>
          <li><strong>ID50</strong> Willingness to purchase an energy efficient refrigerator
          <ul>
            <li><strong>ID65</strong> Why no</li>
            <li><strong>ID66</strong> affordable cost of an energy efficient option</li>
            <li><strong>ID67</strong> Years to amortize an efficient option</li>
          </ul>
          </li>
        </ul>
        </li>
        <li>Insulation
        <ul>
          <li><strong>ID47</strong> Affordable cost of updating to a state of the art insulation on the facade</li>
          <li><strong>ID56</strong> Willingness for paying/invest
          <ul>
            <li><strong>ID74</strong> Why no?</li>
            <li><strong>ID20</strong> affordable cost of an energy efficient option</li>
            <li><strong>ID34</strong> Years to amortize an energy efficient option</li>
          </ul>
          </li>
        </ul>
        </li>
        <li>Energy Generation
        <ul>
          <li><strong>ID68</strong> Affordable cost of a solar photovoltaic system</li>
          <li><strong>ID76</strong> Willingness for paying/invest
          <ul>
            <li><strong>ID84</strong> Why no?</li>
            <li><strong>ID132</strong> Affordable cost of a photovoltaic system</li>
            <li><strong>ID138</strong> Years that amortize a photovoltaic system</li>
          </ul>
          </li>
        </ul>
        </li>
        <li>Energy Storage
        <ul>
          <li><strong>ID142</strong> Affordable cost of an energy storage system</li>
          <li><strong>ID146</strong> Willingness for paying/invest
          <ul>
            <li><strong>ID181</strong> Why no? </li>
            <li><strong>ID182</strong> Affordable cost of an energy storage system </li>
            <li><strong>ID183</strong> Years that amortize an energy storage systems</li>
          </ul>
          </li>
        </ul>
        </li>
        <li>Heating
        <ul>
          <li><strong>ID140</strong> Affordable cost of a gas boiler</li>
          <li><strong>ID209</strong> Affordable cost of an energy efficient heating system</li>
          <li><strong>ID217</strong> Willingness for paying/invest
          <ul>
            <li><strong>ID238</strong> Why no?</li>
            <li><strong>ID239</strong> Affordable cost of a energy efficient option</li>
            <li><strong>ID241</strong> Years that amortize a heat pumps</li>
          </ul>
          </li>
        </ul>
        </li>
        <li>Mobility
        <ul>
          <li><strong>ID41</strong> Average kilometers traveled a typical day</li>
          <li><strong>ID51</strong> Usual travel option</li>
          <li><strong>ID264</strong> Affordable cost of a diesel or gasoline mid-range brand new car</li>
          <li><strong>ID265</strong> Affordable cost of a mid-range brand new electric car</li>
          <li><strong>ID281</strong> Willingness to buy an electric car
          <ul>
            <li><strong>ID289</strong> Why no?</li>
            <li><strong>ID290</strong> Affordable price of an electric car</li>
            <li><strong>ID291</strong> Years that amortize an electric car</li>
          </ul>
          </li>
        </ul>
        </li>
      </ul>
      </li>
      <li><strong>Section 5 - Household characterization</strong>
      <ul>
        <li><strong>ID127</strong> Selecting an asked value</li>
        <li><strong>ID189</strong> Type of living area</li>
        <li><strong>ID202</strong> Gender
    

High Frequency Indicator: The dataset contains year-, month- and bank-wise compiled data from the year 2021 to till date on the volume and performance of UPI Autopay Payment Service Provider (PSP) mandate registrations and transactions, along with percentage of transactions which have been approved, business declined (BD) and technical declined (TD)

Notes:

1. Autopay is a system which gives the users the option to enable recurring e-mandate using any UPI application for making recurring payments such as mobile bills, electricity bills, EMI payments, entertainment/OTT subscriptions, insurance, mutual funds, etc.
2. Business Declines (BD) are declined transactions due to a customer entering an invalid pin, incorrect beneficiary account etc. or due to other business reasons such as exceeding per transaction limit, exceeding permitted count of transactions per day, exceeding amount limit for the day etc.
3. Technical Declines (TD) transactions are those transactions are declined due to any technical reasons such as bank ID is empty or not in correct format or exception code not in Database or not in correct format, etc
4. Payer PSP is a system bank can onboard a customer, create his/ her UPI ID, create device binding which is used as a first factor of Authentication. Using this function, a customer can enter their UPI PIN to approve a financial transaction or non financial request, wherever necessary.
5. Payee PSP is a system where a bank can onboard a customer/merchant and allow them to receive money on the basis basis allocated UPI ID or raise a Collect request. It is also known as beneficiary PSP/resolving PSP.

Downloaded from https://www.nacubo.org/Research/2021/Public-NTSE-Tables

U.S. and Canadian Institutions Listed by Fiscal Year (FY) 2021 Endowment Market Value and Change in Endowment Market Value1 from FY20 to FY21

The Change in Endowment Market Value is NOT the investment rate of return. See the footnote at the bottom of the table for a definition of the Change in Endowment Market Value.

Note: The data in this spreadsheet will NOT agree with data presented in any other tables or charts in the 2021 NACUBO-TIAA Study of Endowments (NTSE).

Source: 2021 NACUBO-TIAA Study of Endowments. This table was created in February 2022 and revised in March 2022.

1. The change in market values listed for the participating institutions DOES NOT represent the investment rate of return for the endowments’ investments. Rather, the change in the market value of an endowment from FY20 to FY21 reflects the net impact of: 1) withdrawals to fund institutional operations and capital expenses; 2) the payment of endowment management and investment fees; 3) additions from donor gifts and other contributions; and 4) investment gains or losses. The market values also include the estimated valuations of real estate and other “illiquid” assets, which may have large increases or decreases in value during a relatively short period of time. In addition, transfers to the endowment from other institutional budget accounts, and changes in foreign currency exchange rates for non-U.S. investments, may account for large changes in endowment market values. These factors suggest that any large increases or decreases in endowments over the past year may be exaggerated. As such, large percentage changes should be interpreted very cautiously.

2. The IPEDS Unit ID (Unitid) is available only for U.S. colleges, universities, and state university system offices. There are no IPEDS ID numbers for Canadian institutions or for non-profit higher education organizations that do not enroll students. The UnitID data are provided by the 2021 IPEDS (Integrated Postsecondary Education Data System) Institutional Characteristics Survey, conducted the National Center for Education Statistics. Missing/Not Applicable respnses indicate that the institution either did not participate in the IPEDS survey, or the IPEDS information was missing.

3. Fall 2020 FTE enrollment as provided by the participating institutions. FTE data include both undergraduate and graduate/professional students.

4 HBCU indicates the institution's Historically Black College or University status. HBCU data are provided by the 2021 IPEDS Institutional Characteristics Survey. Missing/Not Applicable respnses indicate that the institution either did not participate in the IPEDS survey, or the IPEDS information was missing.

5 The Carnegie Classification System identifies U.S. colleges and universities by their highest degree awarded and research intensity. For more information on the Carnegie Classification system, go to https://en.wikipedia.org/wiki/Carnegie_Classification_of_Institutions_of_Higher_Education Carnegie Classification data are provided by the 2021 IPEDS Institutional Characteristics Survey. Missing/Not Applicable respnses indicate that the institution either did not participate in the IPEDS survey, or the IPEDS information was missing.

ENDNOTES: iTotal includes the endowment assets from The Texas A&M University System and multiple supporting foundations, including the Texas A&M Foundation. The full 2021 NTSE report includes separate information for the Texas A&M University System, Texas A&M Foundation, and the Baylor Oral Health Foundation (which provides financial support to the Texas A&M University Baylor College of Dentistry).
ii Fiscal year end date for New York University is August 31 but the endowment market values are reported for the year ending June 30. iii Total includes the combined endowment assets from the Regents of the University of Minnesota endowment and the University of Minnesota Foundation. The full 2021 NTSE report provides information for the University of Minnesota Foundation only.
iv Total includes the combined endowment assets of Carnegie Mellon University and a portion of assets held by the Dietrich Foundation reflecting CMU’s allocation as a named beneficiary. The full 2021 NTSE report reflects information for the CMU endowment only.
v Total includes the combined endowment assets from the University of Illinois and the University of Illinois Foundation. The full 2021 NTSE report provides separate detailed information for each of these individual institutions.
vi University of Miami's fiscal year-end is 5/31. Endowment values for FY21 and FY20 are reported for May 31, 2021 and May 31, 2020, respectively. vii Total endowment includes data from all institutions in the Louisiana State University System. Howeve...