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Key information about Argentina Household Debt: % of GDP
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La dette des ménages en Argentine est passée à 4,70 % du PIB au quatrième trimestre 2024, contre 4,20 % du PIB au troisième trimestre 2024. Cette dataset fournit les valeurs réelles, les données historiques, les prévisions, les graphiques, les statistiques, le calendrier économique et les actualités sur l'endettement des ménages en Argentine par rapport au PIB.
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Key information about Argentina Household Debt
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Household debt to GDP, in percent in Argentina, September, 2024 The most recent value is 4.2 percent as of September 2024, an increase compared to the previous value of 3.6 percent. Historically, the average for Argentina from March 1994 to September 2024 is 4.93 percent. The minimum of 2.5 percent was recorded in March 2004, while the maximum of 7.6 percent was reached in March 2000. | TheGlobalEconomy.com
In 2024, the value of the lending to households in Switzerland as a share of its gross domestic product (GDP) was higher than in any of the countries selected here. Australian, Canadian, and South Korean households had an amount of credit which was higher than the overall size of their economy. That year, household lending in Argentina amounted to *** percent of its GDP, which was the lowest figure in the ranking. What is the household debt? Household debt, also known as family debt, includes loans taken to pay for the home or other property, education, vehicles, and other expenses. The largest component of this is mortgage debt, which is seen by many as a way to build long-term equity. As such, households are willing to take on a large amount of this debt with the goal of owning an asset that holds value and can be used as a residence in the meantime. The cost of debt The cost of a loan depends on a number of factors such as the interest rate, borrower’s credit risk or time period of a loan. The value of mortgage and the rate of return on assets such as real estate also depend largely on geographic location. The highest borrowers in this statistic are likely living in countries where credit is affordable and expected returns are relatively high, incentivizing heavy borrowing.
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Argentiniens Haushaltschuld:% des BIP belief sich im 2024-09 auf 4.5 %. Dies stellt einen Anstieg im Vergleich zu den vorherigen Zahlen von 3.9 % für 2024-06 dar. Argentiniens Haushaltschuld:% des BIP werden vierteljährlich aktualisiert, mit einem Durchschnitt von 5.8 % von 2004-12 bis 2024-09, mit 80 Beobachtungen. Die Daten erreichten ein Allzeithoch in Höhe von 8.2 % im 2018-06 und ein Rekordtief in Höhe von 3.7 % im 2024-03. Argentiniens Haushaltschuld:% des BIP Daten behalten den Aktiv-Status in CEIC und werden von CEIC Data gemeldet. Die Daten werden unter World Trend Pluss Global Economic Monitor – Table: Household Debt: % of Nominal GDP: Quarterly kategorisiert.
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아르헨티나의 가계 부채 : GDP 대비 %은 2024-09에 4.5 %로 보고 되었습니다. 이는 2024-06에 3.9 %라는 이전 수치에 비 해상승한 기록입니다.아르헨티나의 가계 부채 : GDP 대비 % 데이터는 계간지마다 업데이트 되며,80개의 관측으로 2004-12부터 2024-09사이에 평균 5.8 %입니다. 이 데이터는2018-06에 8.2 %라는사상 최고치를, 2024-03에 3.7 %라는 최저치를 기록했습니다. 아르헨티나’의 가계 부채 : GDP 대비 % 데이터는 CEIC에 활성 상태로 남아 있으며CEIC Data에 의해 보고되는 정보입니다. 본 데이터는 World Trend Plus의 Global Economic Monitor - Table: Household Debt: % of Nominal GDP: Quarterly하에 분류 됩니다.
This statistic depicts the main sources of family debt in Argentina in December 2015 and November 2017, based on volume of debt as share of average annual household income. In November of 2017, it was estimated that 23.3 percent of the annual salary earned by Argentinian households went to pay outstanding family loans, up from less than 20 percent in December of 2015.
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Graph and download economic data for Use of Financial Services: Number of Loan Accounts for Households at Credit Unions and Financial Cooperatives for Argentina (ARGFCNODUHNUM) from 2004 to 2018 about credit unions, Argentina, financial, loans, households, services, and depository institutions.
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Graph and download economic data for Use of Financial Services: Number of Loan Accounts for Households at Commercial Banks for Argentina (ARGFCNODCHNUM) from 2004 to 2024 about Argentina, financial, loans, households, services, banks, and depository institutions.
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Utang Rumah Tangga Argentina dilaporkan sebesar 28.4 USD bn pada 2024-12. Rekor ini naik dibanding sebelumnya yaitu 26.2 USD bn untuk 2024-11. Data Utang Rumah Tangga Argentina diperbarui bulanan, dengan rata-rata 21.8 USD bn dari 1999-12 sampai 2024-12, dengan 301 observasi. Data ini mencapai angka tertinggi sebesar 46.8 USD bn pada 2018-04 dan rekor terendah sebesar 5.0 USD bn pada 2002-09. Data Utang Rumah Tangga Argentina tetap berstatus aktif di CEIC dan dilaporkan oleh CEIC Data. Data dikategorikan dalam Global Economic Monitor World Trend Plus – Table: Household Debt: USD: Monthly.
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Os dados de Dívida familiar:% do PIB da Argentina foram registrados em 4.5 % em 2024-09. Este é um registro de um aumento com relação aos números anteriores de 3.9 % em 2024-06. Os dados de Dívida familiar:% do PIB da Argentina são atualizados trimestral, com uma média de 5.8 % em 2004-12 até 2024-09, com 80 observações. Os dados alcançaram um alto recorde de 8.2 % em 2018-06 e um baixo recorde de 3.7 % em 2024-03. Os dados de Dívida familiar:% do PIB da Argentina permanecem com status ativo na CEIC e são reportados pela fonte: CEIC Data. Os dados são classificados sob o World Trend Plus’ Global Economic Monitor – Table: Household Debt: % of Nominal GDP: Quarterly.
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Graph and download economic data for Use of Financial Services: Number of Loan Accounts for Households at Other Deposit Takers for Argentina (ARGFCNODDHNUM) from 2004 to 2017 about Argentina, financial, loans, households, and services.
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Graph and download economic data for Use of Financial Services: Key Indicators, Household Loan Accounts with Commercial Banks Per 1,000 Adults for Argentina (ARGFCNODCHANUM) from 2004 to 2023 about adult, Argentina, financial, loans, households, services, banks, and depository institutions.
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Key information about Argentina Domestic Credit Growth
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Key information about Argentina Domestic Credit
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Key information about Argentina Non Performing Loans Ratio
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Argentina AR: Gross External Debt: Other Sectors: Households and NPISH: Long Term: Currency and Deposits data was reported at 0.000 USD mn in Sep 2014. This stayed constant from the previous number of 0.000 USD mn for Jun 2014. Argentina AR: Gross External Debt: Other Sectors: Households and NPISH: Long Term: Currency and Deposits data is updated quarterly, averaging 0.000 USD mn from Sep 2003 (Median) to Sep 2014, with 45 observations. The data reached an all-time high of 0.000 USD mn in Sep 2014 and a record low of 0.000 USD mn in Sep 2014. Argentina AR: Gross External Debt: Other Sectors: Households and NPISH: Long Term: Currency and Deposits data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.QEDS: Gross External Debt: by Sector and Instrument.
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Argentina AR: Gross External Debt: Other Sectors: Households and NPISH: Long Term: Other Debt Liabilities data was reported at 0.000 USD mn in Sep 2014. This stayed constant from the previous number of 0.000 USD mn for Jun 2014. Argentina AR: Gross External Debt: Other Sectors: Households and NPISH: Long Term: Other Debt Liabilities data is updated quarterly, averaging 0.000 USD mn from Sep 2003 (Median) to Sep 2014, with 45 observations. The data reached an all-time high of 0.000 USD mn in Sep 2014 and a record low of 0.000 USD mn in Sep 2014. Argentina AR: Gross External Debt: Other Sectors: Households and NPISH: Long Term: Other Debt Liabilities data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Argentina – Table AR.World Bank.QEDS: Gross External Debt: by Sector and Instrument.
Debt Collection Software Market Size 2024-2028
The debt collection software market size is forecast to increase by USD 2.31 billion at a CAGR of 8.92% between 2023 and 2028.
The market is experiencing significant growth due to the increasing prevalence of non-performing loans (NPLs) worldwide. According to recent reports, the global NPL ratio reached an all-time high of 5.3% in 2020, creating a pressing need for efficient debt collection solutions. In response, market participants are integrating advanced technologies such as artificial intelligence, machine learning, and predictive analytics into their software offerings to streamline the collection process and improve recovery rates. However, the high cost of debt collection software remains a significant challenge for small and medium-sized enterprises (SMEs) and startups. The upfront investment required for implementing these solutions can be prohibitive, limiting their adoption.
Furthermore, the complexity of the software and the need for specialized expertise to operate it effectively can add to the overall cost and implementation time. To capitalize on the market opportunities presented by the growing NPL problem and the integration of advanced technologies, companies must focus on offering affordable, user-friendly solutions that cater to the unique needs of SMEs and startups. By doing so, they can differentiate themselves from competitors and gain a competitive edge in the market.
What will be the Size of the Debt Collection Software Market during the forecast period?
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The market continues to evolve, with customer service and collection process automation playing pivotal roles in enhancing efficiency and effectiveness. Debt recovery, reporting and analytics, cloud computing, data security, and regulatory compliance are integral components, ensuring seamless integration and optimization. Machine learning and collection workflows facilitate advanced fraud detection, while collection tactics adapt to consumer debt scenarios. Collection agencies leverage technology for compliance management and collection strategies, encompassing financial services, business debt, and commercial debt.
Predictive analytics and debt portfolio management enable proactive debt collection and risk management. Virtual collections, invoice financing, and account recovery solutions further expand the market's reach, with remote collections, artificial intelligence, and legal compliance shaping the future landscape.
How is this Debt Collection Software Industry segmented?
The debt collection software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
Deployment
On-premises
Cloud-based
Industry Application
Banking and Financial Services
Healthcare
Retail
Telecom
Government
Others
Software Component
Software
Service
Geography
North America
US
Canada
Europe
France
Germany
Italy
UK
Middle East and Africa
Egypt
KSA
Oman
UAE
APAC
China
India
Japan
South America
Argentina
Brazil
Rest of World (ROW)
By Deployment Insights
The on-premises segment is estimated to witness significant growth during the forecast period.
In the debt collection industry, on-premises debt collection software solutions hold a prominent position in the global market. These solutions cater to organizations that value internal control, data security, and customization. Deployed directly within an organization, they offer users extensive autonomy over their debt collection processes. Compliance with stringent data privacy regulations is a major concern for industries such as finance and healthcare, making on-premises software a preferred choice. Companies like DAKCS Software Systems Inc. Implement these solutions to manage delinquent accounts, credit card debt, and business debt. Collection process automation, reporting and analytics, and customer relationship management are integral features.
Collection tactics, regulatory compliance, and compliance management are also crucial elements. Machine learning and predictive analytics enable advanced debt portfolio management and collection strategies. Collection call automation, skip tracing, and fraud detection further enhance efficiency. Virtual collections, invoice financing, and account recovery are additional functionalities. Artificial intelligence and legal compliance ensure effective risk management and collections management. Collection automation, debt collection laws, and debt collection regulations are addressed. Medical debt, consumer debt, and student loan debt are effectively managed. Virtual assistant technology offers assistance in d
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Key information about Argentina Household Debt: % of GDP