BASE YEAR	2024
HISTORICAL DATA	2019 - 2023
REGIONS COVERED	North America, Europe, APAC, South America, MEA
REPORT COVERAGE	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
MARKET SIZE 2024	2341.4(USD Million)
MARKET SIZE 2025	2467.8(USD Million)
MARKET SIZE 2035	4200.0(USD Million)
SEGMENTS COVERED	Loan Type, Repayment Plan, Education Level, Customer Type, Regional
COUNTRIES COVERED	US, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
KEY MARKET DYNAMICS	increasing education costs, rising student debt, government regulations, digital service adoption, competitive lending landscape
MARKET FORECAST UNITS	USD Million
KEY COMPANIES PROFILED	Chase Bank, Navient, Wells Fargo, LendKey, College Ave Student Loans, Great Lakes Educational Loan Services, PNC Financial Services, Upstart, Granite State Management and Resources, Sallie Mae, Discover Financial Services, Fiserv, Bank of America, SoFi, Citizens Bank
MARKET FORECAST PERIOD	2025 - 2035
KEY MARKET OPPORTUNITIES	Digital loan management solutions, Expanding alternative financing options, Partnerships with educational institutions, AI-driven credit assessment tools, Enhanced customer support services
COMPOUND ANNUAL GROWTH RATE (CAGR)	5.4% (2025 - 2035)

This report summarizes the findings of the Consortium's third annual survey, which involved 25 colleges and more than 9,400 students. Participating colleges were responsible for sampling (based on a standardized procedure) and administering the survey in class. Completed questionnaires were then shipped to PRA Inc. for coding, data entry and analysis. The objectives of the research are to: provide national data on student access, time use and financing for Canadian college students from participating colleges; identify issues particular to certain learner groups or regions; and provide each institution with topline survey results (based on representative samples of their students), which may then be compared against the "national average". This dataset was freely received from the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information.

EKOS Research Associates and the Canada Millennium Scholarship Foundation conducted a monthly national study of the finances of post-secondary students from September 2001 until May 2002. The study was designed to capture the expenses and income of students on a monthly basis, in order to profile the financial circumstances of Canadian post-secondary students and the adequacy of available funding. The Web based Students Financial Survey provided accurate, quantifiable results for the first time on such issues as the incidence and level of assistance, the level of debt from outstanding bank loans, personal lines of credit, and credit cards. The study also yielded up-to-date information on student assets (such as automobiles, computers, and electronics), student earnings, time usage, and types of expenses incurred. The survey featured a panel of 1,524 post-secondary students from across the country, who participated in a very brief monthly survey, either via Internet or telephone. Students were required to complete a longer baseline wave of the survey in order to participate in the study. The baseline survey asked a number of questions concerning summer income and existing debt, including credit card debt. This dataset was received from the Canada Millennium Scholarship Foundation as is. Issues with value labels and missing values were discovered and corrected as best as possible with the documentation received. The variable gasst: Do you receive any government assistance? was not corrected due to lack of documentation about this variable. Some caution should be used with this dataset. This dataset was freely received from, the Canadian Millenium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were correct as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information.

The Canadian College Student Survey was conducted by the Canada Millennium Scholarship Foundation to provide data on student finances in Canada. The primary objective of the survey was to track the expenses and income of students on a monthly basis, in order to profile the financial circumstances of Canadian students and the adequacy of available funding. The survey will allow the Canada Millennium Scholarship Foundation to understand the financial circumstances of students who are in a post- secondary environment on an annual basis. This research is a joint effort of the Foundation, all participating colleges and the Association of Canadian Community Colleges (ACCC). The survey collects data on college students' income, expenditures and use of time. The survey is unique in that it provides national-level information on the challenges Canadian college students face in terms of financial and access issues. The objectives of the research are to: provide national-level data on student access; time use and financing for Canadian college students from participating colleges; identify issues particular to certain learner groups and/or regions; and provide each institution with top-line survey results (based on representative samples of their students); which may then be compared against the "national average".The Canada Millennium Scholarship Foundation commissioned R.A. Malatest and Associates Ltd. to conduct a comprehensive survey that provided national-level data concerning college students’ income, expenditures, levels of debt/perceptions of debt, and use of time. The 2002 Canadian College Student Survey Project was administered in March and April of 2002 in 16 colleges (representing 93,175 students). The maximum variation of the results of this survey is estimated to be ±1.2% (at a 95% confidence level). This dataset was freely received from the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information.

Financial burdens of the parental home through education of children.

Topics: Start of studies; length of studies; amount of money available to the student monthly; current income and burden conditions of parents; opportunities to finance studies; stay of student in semester breaks; attitude of student to work in semester breaks; readiness of parents to finance studies; degree of familiarity of the Honnef Model; detailed information on income and contributions of the student as well as the remaining children; housing situation and rent costs of respondent.

Demography: income; household income; size of household; social origins; city size; state; refugee status; possession of durable economic goods; possession of assets.

The global student loans market is projected to reach a valuation of approximately USD 2.5 trillion by 2033, growing at a compound annual growth rate (CAGR) of 5.2% from 2025 to 2033.

The principal purposes of this national longitudinal study of the higher education system in the United States are to describe the characteristics of new college freshmen and to explore the effects of college on students. For each wave of this survey, each student completes a questionnaire during freshman orientation or registration that asks for information on academic skills and preparation, high school activities and experiences, educational and career plans, majors and careers, student values, and financing college. Other questions elicit demographic information, including sex, age, parental education and occupation, household income, race, religious preference, and state of birth. Specific questions asked of respondents in the 1979 survey included type of high school, total of expenses the students expected to receive from different sources, questions regarding the Basic Educational Opportunity Grant (BEOG) and Guaranteed Student Loan (GSL), students' life patterns, and the best estimate of students' parents' income during the past year.

The Canadian College Student Survey was conducted by the Canada Millennium Scholarship Foundation to provide data on student finances in Canada. The primary objective of the survey was to track the expenses and income of students on a monthly basis, in order to profile the financial circumstances of Canadian students and the adequacy of available funding. The survey will allow the Canada Millennium Scholarship Foundation to understand the financial circumstances of students who are in a post- secondary environment on an annual basis. This research is a joint effort of the Foundation, all participating colleges and the Association of Canadian Community Colleges (ACCC). The survey collects data on college students' income, expenditures and use of time. The survey is unique in that it provides national-level information on the challenges Canadian college students face in terms of financial and access issues. The objectives of the research are to: provide national-level data on student access; time use and financing for Canadian college students from participating colleges; identify issues particular to certain learner groups and/or regions; and provide each institution with top-line survey results (based on representative samples of their students); which may then be compared against the "national average". In January 2003, the Foundation engaged Prairie Research Associates (PRA) Inc. to oversee this research. This dataset was freely received from the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information. This dataset was freely received by the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. The y were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking documentation.

The Families and Children Study (FACS), formerly known as the Survey of Low Income Families (SOLIF), originally provided a new baseline survey of Britain's lone-parent families and low-income couples with dependent children. The survey was named SOLIF for Waves 1 and 2, and FACS from Wave 3 onwards.

The FACS study has become a 'true panel', whereby 1999 respondents have been re-interviewed in subsequent annual waves in from 2000 to 2004, and new families added in each of these years, to allow representative cross-section as well as longitudinal comparisons. Starting with Wave 3 (2001) the survey was extended to include higher-income families, thereby yielding a complete sample of all British families (and the subsequent name change). From Wave 4 (2002) onwards, longitudinal comparisons can now be made.

The main objectives of the survey are to:

• evaluate the effectiveness of the Government's work incentive measures in terms of helping people into work, improving living standards and improving child outcomes
• compare the living standards and outcomes for children and for families across the income distribution
• compare changes in the above across the waves since 1999

FACS also aims to provide commentary on longer-term objectives such as the Government's Public Service Agreement to eradicate child poverty within a generation.

Further information, including links to reports and other publications, may be found on the DWP FACS web pages.

Users should note that, in addition to the survey name change noted above, some of the documentation for the early waves refers to the survey as the Study of Families with Children.

The original deposit of FACS, released in December 2001, contained data and documentation from the first wave. Further waves have been added at subsequent editions in 2003, 2004 (twice), 2005, 2006 and 2007.

For the eighth edition (October 2010), three major changes were made to the study: data and documentation for Waves 8-10 were deposited for the first time; updated and improved data and documentation for Waves 3-7 were deposited to replace previous materials; and updated documentation covering all waves was deposited. Details of improvements to the redeposited Wave 3-7 data are included in the all waves user guide. For the ninth edition (January 2011), the Wave 10 technical report was added to the study.

With Versium REACH Demographic Append you will have access to many different attributes for enriching your data.

Basic, Household and Financial, Lifestyle and Interests, Political and Donor.

Here is a list of what sorts of attributes are available for each output type listed above:

Basic: - Senior in Household - Young Adult in Household - Small Office or Home Office - Online Purchasing Indicator
- Language - Marital Status - Working Woman in Household - Single Parent - Online Education - Occupation - Gender - DOB (MM/YY) - Age Range - Religion - Ethnic Group - Presence of Children - Education Level - Number of Children

Household, Financial and Auto: - Household Income - Dwelling Type - Credit Card Holder Bank - Upscale Card Holder - Estimated Net Worth - Length of Residence - Credit Rating - Home Own or Rent - Home Value - Home Year Built - Number of Credit Lines - Auto Year - Auto Make - Auto Model - Home Purchase Date - Refinance Date - Refinance Amount - Loan to Value - Refinance Loan Type - Home Purchase Price - Mortgage Purchase Amount - Mortgage Purchase Loan Type - Mortgage Purchase Date - 2nd Most Recent Mortgage Amount - 2nd Most Recent Mortgage Loan Type - 2nd Most Recent Mortgage Date - 2nd Most Recent Mortgage Interest Rate Type - Refinance Rate Type - Mortgage Purchase Interest Rate Type - Home Pool

Lifestyle and Interests: - Mail Order Buyer - Pets - Magazines - Reading
- Current Affairs and Politics
- Dieting and Weight Loss - Travel - Music - Consumer Electronics - Arts
- Antiques - Home Improvement - Gardening - Cooking - Exercise
- Sports - Outdoors - Womens Apparel
- Mens Apparel - Investing - Health and Beauty - Decorating and Furnishing

Political and Donor: - Donor Environmental - Donor Animal Welfare - Donor Arts and Culture - Donor Childrens Causes - Donor Environmental or Wildlife - Donor Health - Donor International Aid - Donor Political - Donor Conservative Politics - Donor Liberal Politics - Donor Religious - Donor Veterans - Donor Unspecified - Donor Community - Party Affiliation

Czech Republic CZ: Foreign Direct Investment Income: Inward: USD: Total: Education data was reported at -3.282 USD mn in 2023. This records a decrease from the previous number of 6.083 USD mn for 2022. Czech Republic CZ: Foreign Direct Investment Income: Inward: USD: Total: Education data is updated yearly, averaging 2.735 USD mn from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 6.083 USD mn in 2022 and a record low of -3.282 USD mn in 2023. Czech Republic CZ: Foreign Direct Investment Income: Inward: USD: Total: Education data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Czech Republic – Table CZ.OECD.FDI: Foreign Direct Investment Income: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is not applied in the recording of total inward and outward FDi transactions and positions. Such cases have never been observed. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the direct investor. Resident Special Purpose Entities (SPEs) do not exist or are not significant and are recorded as zero in the FDI database. Valuation method used for listed inward and outward equity positions: Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

This special topic poll, conducted March 20-21, 1996, is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents of this poll were asked to give their opinions about whether they thought it was possible to start out poor and become rich in this country, whether all Americans had equal opportunities, and whether there were more opportunities for Americans now than in the past. Respondents of this poll were asked to personally evaluate their lives and give their opinions on whether they had more opportunities than most Americans, and whether their lives at that time were the result of luck or fate. This poll also solicited respondents' opinions about how important certain factors were to getting ahead in life. These factors included hard work, knowing the right people, having educated parents, having strong religious faith, having a good education, and the number of years of education. Respondents' opinions were also collected on the importance of having strong religious faith. Other questions sought respondents' opinions on the difficulty of overcoming various situations in order to get ahead in life. These situations included overcoming having a parent that abused alcohol or drugs, living in a high-crime neighborhood, being a victim of physical abuse, growing up in a single parent household and growing up on welfare. Demographic variables include sex, race, age, marital status, employment status, whether respondents grew up in a single parent household, household income, education level, type of residential area (e.g., urban or rural), presence of children and teenagers in the household, political party affiliation, religious preference, and political philosophy.

The Canadian College Student Survey Consortium (the Consortium, CCSSC) includes the Association of Canadian Community Colleges (ACCC), individual participating colleges and the Canada Millennium Scholarship Foundation (CMSF). Established in late 2001, the Consortium conducted its first survey of college students in the spring of 2002. In 2003, it conducted a second survey, involving 27 colleges and approximately 9,900 students. This report summarizes the findings of the second annual survey. The survey collects data on college students' income, expenditures and use of time. The survey is unique in that it provides national-level information on the challenges Canadian college students face in terms of financial and access issues. Approximately 9,900 students completed the survey. Of which most students who responded to the survey are enrolled full-time in programs that take two years or longer to complete. Students' financial situations and time use vary greatly by program type as well as region. Many of the differences arise because of students' personal characteristics are correlated with the program they are enrolled in. The fact that some programs are more predominant in certain regions adds another dimension to this variation. This dataset was freely received from the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information.

Costa Rica Foreign Direct Investment Income: Inward: Total: Education data was reported at 0.000 USD mn in 2023. This stayed constant from the previous number of 0.000 USD mn for 2022. Costa Rica Foreign Direct Investment Income: Inward: Total: Education data is updated yearly, averaging 0.000 USD mn from Dec 2017 (Median) to 2023, with 7 observations. The data reached an all-time high of 1.914 USD mn in 2018 and a record low of 0.000 USD mn in 2023. Costa Rica Foreign Direct Investment Income: Inward: Total: Education data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Costa Rica – Table CR.OECD.FDI: Foreign Direct Investment Income: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positionsTreatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). Resident Special Purpose Entities (SPEs) do not exist or are not significant and are recorded as zero in the FDI database. Valuation method used for listed inward and outward equity positions: Book value. Valuation method used for unlisted inward and outward equity positions: Book value. Valuation method used for inward and outward debt positions: Book value. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to a partial application of the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are covered. Non-profit institutions serving households are not covered as direct investors. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward and outward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise/direct investor. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

Lithuania LT: Foreign Direct Investment Income: Outward: Total: Education data was reported at 0.800 EUR mn in 2023. This records an increase from the previous number of -0.040 EUR mn for 2022. Lithuania LT: Foreign Direct Investment Income: Outward: Total: Education data is updated yearly, averaging 0.000 EUR mn from Dec 2005 (Median) to 2023, with 16 observations. The data reached an all-time high of 1.420 EUR mn in 2017 and a record low of -0.040 EUR mn in 2022. Lithuania LT: Foreign Direct Investment Income: Outward: Total: Education data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Lithuania – Table LT.OECD.FDI: Foreign Direct Investment Income: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market and Nominal values. .; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Luxembourg LU: Foreign Direct Investment Income: Inward: USD: Total: Education data was reported at 0.000 USD mn in 2023. This stayed constant from the previous number of 0.000 USD mn for 2022. Luxembourg LU: Foreign Direct Investment Income: Inward: USD: Total: Education data is updated yearly, averaging 0.000 USD mn from Dec 2012 (Median) to 2023, with 11 observations. The data reached an all-time high of 0.000 USD mn in 2023 and a record low of 0.000 USD mn in 2023. Luxembourg LU: Foreign Direct Investment Income: Inward: USD: Total: Education data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.FDI: Foreign Direct Investment Income: USD: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series including resident SPEs only. Valuation method used for listed inward and outward equity positions: Market value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Market value, Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are not covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions and positions are allocated according to the activity of the resident direct investor. Statistical unit: Enterprise.

South Korea Foreign Direct Investment Income: Outward: Total: Education data was reported at 1.016 USD mn in 2022. This records an increase from the previous number of 0.927 USD mn for 2021. South Korea Foreign Direct Investment Income: Outward: Total: Education data is updated yearly, averaging -6.342 USD mn from Dec 2013 (Median) to 2022, with 10 observations. The data reached an all-time high of 1.016 USD mn in 2022 and a record low of -19.442 USD mn in 2018. South Korea Foreign Direct Investment Income: Outward: Total: Education data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.FDI: Foreign Direct Investment Income: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is applied in the recording of total inward and outward FDI transactions and positions. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the ultimate controlling parent (extended directional principle). FDI transactions and positions by partner country and/or by industry are available excluding and including resident Special Purpose Entities (SPEs). The dataset 'FDI statistics by parner country and by industry - Summary' contains series excluding resident SPEs only. Valuation method used for listed inward and outward equity positions: Own funds at book value. Valuation method used for unlisted inward equity positions: Own funds at book value. Valuation method used for unlisted outward equity positions: Own funds at book value, Accumulation of FDI equity flows, Book values. Valuation method used for inward debt positions: Nominal value. Valuation method used for outward debt positions: Market value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationship (FDIR). Fellow enterprises are partially covered in FDI transactions and positions. However given the reporting treshold, almost all of the value of transactions of fellows are covered in the statistics. Collective investment institutions are included as direct investment enterprises. Non-profit institutions serving households are included as direct investors (outward FDI transactions and positions). FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

Czech Republic CZ: Foreign Direct Investment Income: Outward: Total: Education data was reported at -0.024 CZK mn in 2022. This records an increase from the previous number of -11.179 CZK mn for 2021. Czech Republic CZ: Foreign Direct Investment Income: Outward: Total: Education data is updated yearly, averaging 0.000 CZK mn from Dec 2013 (Median) to 2022, with 9 observations. The data reached an all-time high of 0.000 CZK mn in 2019 and a record low of -11.179 CZK mn in 2021. Czech Republic CZ: Foreign Direct Investment Income: Outward: Total: Education data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Czech Republic – Table CZ.OECD.FDI: Foreign Direct Investment Income: by Industry: OECD Member: Annual. Reverse investment: Netting of reverse investment in equity (when a direct investment enterprise acquires less than 10% equity ownership in its parent) and reverse investment in debt (when a direct investment enterprise extends a loan to its parent) is not applied in the recording of total inward and outward FDi transactions and positions. Such cases have never been observed. Treatment of debt FDI transactions and positions between fellow enterprises: directional basis according to the residency of the direct investor. Resident Special Purpose Entities (SPEs) do not exist or are not significant and are recorded as zero in the FDI database. Valuation method used for listed inward and outward equity positions: Own funds at book value. Valuation method used for unlisted inward and outward equity positions: Own funds at book value. Valuation method used for inward and outward debt positions: Nominal value.; FDI statistics are available by geographic allocation, vis-à-vis single partner countries worldwide and geographical and economic zones aggregates. Partner country allocation can be subject to confidentiality restrictions. Geographic allocation of inward and outward FDI transactions and positions is according to the immediate counterparty. Inward FDI positions according to the ultimate counterparty (the ultimate investing country) are also available and publishable. In the dataset 'FDI statistics by parner country and by industry - Summary', inward FDI positions are showed according to the UIC. Intercompany debt between related financial intermediaries, including permanent debt, are excluded from FDI transactions and positions. Direct investment relationships are identified according to the criteria of the Framework for Direct Investment Relationships (FDIR) method. Debt between fellow enterprises are completely covered. Collective investment institutions are covered as direct investment enterprises. FDI statistics are available by industry sectors according to ISIC4 classification. Industry sector allocation can be subject to confidentiality restrictions. Inward FDI transactions and positions are allocated to the activity of the resident direct investment enterprise. Outward FDI transactions are allocated according to the activity of the non resident direct investment enterprise. Outward FDI positions are allocated according to the activity of the non resident direct investment enterprise. Statistical unit: Enterprise.

This is a special microdata file containing selected asset, debt and housing information for economic family units as collected in the 1984 Survey of Consumer Finances. Earlier surveys on family assets and debts were conducted in 1956, 1959, 1964, 1970 and 1977. The results of these surveys are published in Catalogue Numbers 13-508, 13-514, 13-525, 13-547 and 13-572 respectively, and differences in concepts and survey coverage are available by consulting these reports. The reference year for this file is 1983. Commencing with the 1998 microdata files, annual cross-sectional income data will be sourced from the Survey of Labour and Income Dynamics (SLID).