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

Key information about United States Household Debt

• United States Household Debt reached 18,036.0 USD bn in Dec 2024, compared with the reported number of 17,943.0 USD bn in the previous quarter
• US Household Debt: USD mn data is updated quarterly, available from Mar 1999 to Dec 2024
• The data reached an all-time high of 18,036.0 USD bn in Dec 2024 and a record low of 4,540.0 USD bn in Mar 1999

• In the latest reports, United States Household Debt accounted for 61.7 % of the country's Nominal GDP in Dec 2024
• Money Supply M2 in United States increased 21,533.8 USD bn YoY in Dec 2024
• United States Foreign Exchange Reserves was measured at 34.9 USD bn in Dec 2024
• The Foreign Exchange Reserves equaled 0.1 Months of Import in Dec 2024
• United States Domestic Credit reached 30,648.3 USD bn in Mar 2024, representing an drop of 0.3 % YoY

Key information about Australia Household Debt: % of GDP

• Australia household debt accounted for 116.6 % of the country's Nominal GDP in Mar 2023, compared with the ratio of 118.0 % in the previous quarter.
• Australia household debt to GDP ratio is updated quarterly, available from Jun 1988 to Mar 2023.
• The data reached an all-time high of 129.4 % in Sep 2016 and a record low of 44.2 % in Sep 1988.

• In the latest reports, Australia Household Debt reached 1,957.6 USD bn in Mar 2023.
• Money Supply M2 in Australia increased 4.1 % YoY in Jun 2023.
• Australia Foreign Exchange Reserves was measured at 37.1 USD bn in Jun 2023.
• The Foreign Exchange Reserves equaled 1.5 Months of Import in May 2023.
• Australia Domestic Credit reached 3,627.0 USD bn in May 2023, representing an increased of 1.9 % YoY.
• The country's Non Performing Loans Ratio stood at 0.8 % in Mar 2023, compared with the ratio of 0.8 % in the previous quarter.

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

The financial indicators are based on data compiled according to the 2008 SNA "System of National Accounts, 2008". Many indicators are expressed as a percentage of Gross Domestic Product (GDP) or as a percentage of Gross Disposable Income (GDI) when referring to the Households and NPISHs sector. The definition of GDP and GDI are the following:

Gross Domestic Product:
Gross Domestic Product (GDP) is derived from the concept of value added. Gross value added is the difference of output and intermediate consumption. GDP is the sum of gross value added of all resident producer units plus that part (possibly the total) of taxes on products, less subsidies on products, that is not included in the valuation of output [System of National Accounts, 2008, par. 2.138]. GDP is also equal to the sum of final uses of goods and services (all uses except intermediate consumption) measured at purchasers’ prices, less the value of imports of goods and services [System of National Accounts, 2008, par. 2.139]. GDP is also equal to the sum of primary incomes distributed by producer units [System of National Accounts, 2008, par. 2.140].

Gross Disposable Income:
Gross Disposable Income (GDI) is equal to net disposable income which is the balancing item of the secondary distribution income account plus the consumption of fixed capital. The use of the Gross Disposable Income (GDI), rather than net disposable income, is preferable for analytical purposes because there are uncertainty and comparability problems with the calculation of consumption of fixed capital. GDI measures the income available to the total economy for final consumption and gross saving [System of National Accounts, 2008, par. 2.145].

Definition of Debt:
Debt is a commonly used concept, defined as a specific subset of liabilities identified according to the types of financial instruments included or excluded. Generally, debt is defined as all liabilities that require payment or payments of interest or principal by the debtor to the creditor at a date or dates in the future. Consequently, all debt instruments are liabilities, but some liabilities such as shares, equity and financial derivatives are not debt [System of National Accounts, 2008, par. 22.104]. According to the SNA, most debt instruments are valued at market prices. However, some countries do not apply this valuation, in particular for securities other than shares, except financial derivatives (AF33). In this dataset, for financial indicators referring to debt, the concept of debt is the one adopted by the SNA 2008 as well as by the International Monetary Fund in “Public Sector Debt Statistics – Guide for compilers and users” (Pre-publication draft, May 2011). Debt is thus obtained as the sum of the following liability categories, whenever available / applicable in the financial balance sheet of the institutional sector:special drawing rights (AF12), currency and deposits (AF2), debt securities (AF3), loans (AF4), insurance, pension, and standardised guarantees (AF6), and other accounts payable (AF8). This definition differs from the definition of debt applied under the Maastricht Treaty for European countries. First, gross debt according to the Maastricht definition excludes not only financial derivatives and employee stock options (AF7) and equity and investment fund shares (AF5) but also insurance pensions and standardised guarantees (AF6) and other accounts payable (AF8). Second, debt according to Maastricht definition is valued at nominal prices and not at market prices.

To view other related indicator datasets, please refer to:
Institutional Investors Indicators [add link]
Household Dashboard [add link]

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

Number of Indebted Household: Greater Bangkok data was reported at 1,781,987.000 Unit in 2017. This records an increase from the previous number of 1,691,033.800 Unit for 2015. Number of Indebted Household: Greater Bangkok data is updated yearly, averaging 1,278,900.000 Unit from Dec 2006 (Median) to 2017, with 7 observations. The data reached an all-time high of 1,781,987.000 Unit in 2017 and a record low of 1,216,700.000 Unit in 2006. Number of Indebted Household: Greater Bangkok data remains active status in CEIC and is reported by National Statistical Office. The data is categorized under Global Database’s Thailand – Table TH.H013: Household Socio Economic Survey: Household Debt.

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.

Abstract

This dataset contains the results from the 2022 mid-year Post-Distribution Monitoring (PDM) exercise carried out in June 2022, of the UNHCR multi-purpose cash assistance in Jordan.

Jordan hosts 761,580 refugees, making it the fourth host country of refugees per capita in the world. To ensure that the basic needs of the most vulnerable are met, UNHCR provides cash assistance to recipients selected based on vulnerability criteria.

As of June 2022, cash assistance continues to have a positive effect on respondents’ psychological and financial wellbeing. In comparison to August 2021, more respondents reported that their wellbeing was improved significantly because of the programme. Just as in previous years, most respondents spent the cash assistance on basic needs, mainly rent (80%) and food (45%). While expenditure on rent has slightly increased since October 2021, fewer respondents spent the cash assistance on food, continuing a tendency of the past few years.

The percentage of respondents’ households holding debt reached 91%, the highest figure since late 2018. Meanwhile, food insecurity increased for non-Syrian and, even more substantially, for Syrian refugees, nearly closing the gap between the two groups. As most respondents could meet only half or less than half of their basic needs, many adopted coping strategies such as reducing expenditure for basic needs, buying food on credit or taking out loans. This year, 1 in 5 respondents also reported engaging in activities for money that may put their household at risk of harm, marking a 19-percentage point increase from the summer of 2021.

Feedback on UNHCR communications and treatment remains largely positive. Most recipients surveyed received the cash assistance on time and in the expected amount, and most felt that they were treated with respect. Furthermore, there was an increase by 26 percentage points from August 2021 in the share of recipients who are aware of how they can report complaints and feedback to UNHCR. However, there were substantial variations in satisfaction levels among those who contacted UNHCR in the past year, with Syrians being the most likely and Yemeni the least likely to be satisfied with the support provided.

Analysis unit

Household

Universe

Households participating in the cash assistance programme.

Kind of data

Sample survey data [ssd]

Sampling procedure

In June 2022, Mindset, a research firm based in Jordan, conducted 600 phone interviews with refugees whose households are receiving UNHCR basic needs cash assistance. The sample was randomly drawn from the UNHCR basic needs cash assistance recipients’ list. The respondents interviewed were briefed on the purpose of the survey before agreeing to participate and asked questions related to receiving and spending the cash assistance, associated risks and issues, prices and markets as well as outcomes of the programme using an updated version of the PDM household survey tool. The data collected is not representative of the general refugee population in Jordan as it represents only recipients participating in the cash assistance programme.

Mode of data collection

Computer Assisted Telephone Interview [cati],Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire contained the following sections: Demographics, Receiving and spending the cash assistance (basic facts), Risks and problems, Markets and prices, Expenditure, Outcomes, Longer-Term Outcomes, Accountability to Affected Persons.

Households Debt in South Africa increased to 62.50 percent of gross income in 2024 from 62.40 percent in 2023. This dataset provides - South Africa Households Debt To Income- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Japan JP: Foreign Direct Investment Position: Outward: % of Total (FDI) Foreign Direct Investment: Total: Other Asian Countries data was reported at 26.770 % in 2023. This records a decrease from the previous number of 27.781 % for 2022. Japan JP: Foreign Direct Investment Position: Outward: % of Total (FDI) Foreign Direct Investment: Total: Other Asian Countries data is updated yearly, averaging 28.279 % from Dec 2014 (Median) to 2023, with 10 observations. The data reached an all-time high of 29.452 % in 2014 and a record low of 26.770 % in 2023. Japan JP: Foreign Direct Investment Position: Outward: % of Total (FDI) Foreign Direct Investment: Total: Other Asian Countries 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 Japan – Table JP.OECD.FDI: Foreign Direct Investment: % of Total FDI: by Region and Country: 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 direct investor. FDI financial flows, income flows and positions include, if they exist, resident Special Purpose Entities (SPEs) which cannot be identified separately. Valuation method used for listed inward and outward equity positions: Own funds at book value, Accumulation of FDI equity flows. Valuation method used for unlisted inward and outward equity positions: Own funds at book value, Accumulation of FDI equity flows. 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. Non-profit institutions serving households are 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 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. Statistical unit: Enterprise.