8 datasets found
  1. G

    Personal Finance Budgeting Records

    • gomask.ai
    csv
    Updated Jul 22, 2025
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    GoMask.ai (2025). Personal Finance Budgeting Records [Dataset]. https://gomask.ai/marketplace/datasets/personal-finance-budgeting-records
    Explore at:
    csv(Unknown)Available download formats
    Dataset updated
    Jul 22, 2025
    Dataset provided by
    GoMask.ai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    amount, category, currency, record_id, description, payer_payee, record_type, subcategory, household_id, is_recurring, and 8 more
    Description

    This dataset provides detailed, household-level records of income and expenses, including transaction categories, payment methods, recurrence patterns, and basic household demographics. It enables comprehensive budgeting analysis, supports financial literacy initiatives, and can power personalized financial recommendations and research into household spending habits.

  2. D

    Personal Budget Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Personal Budget Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/personal-budget-software-market-report
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Personal Budget Software Market Outlook



    In 2023, the global personal budget software market size was valued at approximately USD 1.5 billion, and it is projected to surge to an impressive USD 2.8 billion by 2032, reflecting a compound annual growth rate (CAGR) of 7.1%. This growth trajectory is largely driven by the increasing adoption of digital financial tools across various user groups, including individuals, families, and small enterprises. The growing need for efficient financial management and budgeting solutions, coupled with the increasing penetration of smartphones and the Internet, is fostering the demand for personal budget software worldwide. As financial literacy and awareness about personal finance continue to rise, users are increasingly seeking sophisticated platforms to manage their financial activities.



    The growth of the personal budget software market is significantly influenced by technological advancements that simplify financial management tasks. With the rise of artificial intelligence and machine learning, modern personal budget software now offers enhanced features like predictive analytics for future financial planning, automated categorization of expenses, and personalized financial advice. These technologies enable users to gain insightful data about their spending habits and make informed decisions, thus driving the demand for such software. Additionally, the integration of these software platforms with other financial services, such as banking apps and investment tools, enhances their usefulness, providing a seamless financial management experience for users.



    Another growth factor contributing to the market expansion is the increasing financial awareness among individuals and small businesses. With access to a plethora of information and resources, people are becoming more conscious of the importance of financial planning and personal budgeting. Particularly among millennials and Generation Z, thereÂ’s a noticeable trend towards adopting digital tools for managing finances, which aligns well with their tech-savvy nature. This demographic shift is propelling the market forward, as these younger generations prefer interactive and intuitive platforms that offer real-time insights and ease of use.



    Moreover, the shift towards remote working and digital transactions spurred by the COVID-19 pandemic has accelerated the adoption of personal budget software. As individuals and small enterprises seek to streamline their financial operations and maintain better control over their expenses during uncertain economic times, the reliance on digital financial management tools has increased. The pandemic has not just highlighted the necessity for financial preparedness but also emphasized the ease and accessibility that personal budget software can offer, further boosting its adoption across various user segments.



    Regionally, North America leads the market, owing to the high adoption rate of digital technologies and significant awareness about personal finance management. The regionÂ’s robust financial infrastructure and the presence of major software providers contribute to its dominant position. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate, driven by the rapid digitization of financial services and an expanding middle class with rising disposable incomes. Europe also holds a significant market share, supported by favorable governmental policies promoting financial literacy and the increasing use of technology in personal finance.



    Personal Finance Management has become an essential skill in today's fast-paced world, where financial stability and security are paramount. With the increasing complexity of financial products and services, individuals are seeking tools and resources that can help them navigate their finances effectively. Personal budget software plays a crucial role in this context, offering users the ability to track expenses, set financial goals, and gain insights into their spending habits. By leveraging these tools, users can develop better financial habits, make informed decisions, and ultimately achieve their financial objectives. The integration of personal finance management into everyday life is not just about managing money, but also about empowering individuals to take control of their financial future.



    Platform Analysis



    The personal budget software market is segmented by platform into Windows, macOS, Android, iOS, and web-based platforms. Windows-based so

  3. D

    Personal Budgeting Tool Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Personal Budgeting Tool Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/personal-budgeting-tool-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Personal Budgeting Tool Market Outlook



    The global market size for personal budgeting tools was estimated at $250 million in 2023 and is projected to reach around $900 million by 2032, exhibiting a robust CAGR of approximately 15%. This impressive growth can be primarily attributed to increasing financial literacy among consumers, rising digital adoption, and the growing emphasis on personal financial management. As individuals worldwide become more conscious about their spending habits and financial goals, the demand for efficient and user-friendly budgeting tools is expected to soar.



    One of the primary drivers fueling this market is the rising awareness about financial management and budgeting among individuals. The advent of the digital age has made it easier for people to access financial information and tools that assist in managing their finances effectively. Educational initiatives from governments and financial institutions are also playing a pivotal role in enhancing financial literacy, thereby driving the adoption of personal budgeting tools. Furthermore, the increasing burden of consumer debt and the need for better financial planning have made these tools indispensable for many.



    Technological advancements in the software industry are another significant growth factor. The integration of artificial intelligence (AI) and machine learning (ML) in budgeting tools offers personalized insights and recommendations, making them more efficient and user-friendly. Mobile and web-based platforms for these tools provide real-time data access and synchronization across devices, greatly enhancing user experience. Additionally, the push towards cashless economies and digital payments has increased the relevance of these tools, as they help in tracking and managing digital transactions seamlessly.



    Moreover, the surge in smartphone and internet penetration globally has made personal budgeting tools more accessible. Developing regions, particularly in Asia-Pacific and Latin America, are witnessing rapid digital transformation. This has opened new avenues for market players to tap into these emerging markets. The convenience of mobile platforms and the ability to access budgeting tools on the go are significant factors contributing to the growing adoption rates. The incorporation of features such as expense tracking, bill reminders, and financial goal setting further adds to the appeal of these tools.



    The evolution of Personal Finance Management Software has significantly contributed to the growth of the personal budgeting tool market. These software solutions offer a comprehensive suite of features that cater to diverse financial needs, from basic budgeting to complex financial planning. As consumers increasingly seek tools that provide a holistic view of their financial health, personal finance management software has emerged as a crucial component. The ability to integrate various financial accounts, track spending, and offer personalized financial insights makes these tools indispensable for users aiming to achieve financial stability. The continuous advancements in technology, such as AI and ML, further enhance the capabilities of these software solutions, making them more intuitive and user-friendly.



    Regionally, North America and Europe dominate the personal budgeting tool market due to high financial literacy rates and early adoption of digital tools. However, Asia-Pacific is expected to witness the highest growth rate during the forecast period, driven by rapidly increasing internet penetration and smartphone usage. Government initiatives promoting digital literacy and financial inclusion in countries like India and China are likely to further boost market growth in this region. Latin America and the Middle East & Africa are also anticipated to witness significant growth, albeit from a smaller base, due to increasing awareness and digital adoption.



    Component Analysis



    The personal budgeting tool market can be segmented into software and services. The software segment comprises applications and platforms designed to help users manage their finances efficiently. This segment holds the largest market share due to the plethora of features offered by these applications. From tracking expenses to setting financial goals and providing investment insights, software solutions are increasingly becoming comprehensive financial management tools. The growing trend of integrating AI and ML into these software solutions is further enhan

  4. Personal Finance Software Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 30, 2025
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    Growth Market Reports (2025). Personal Finance Software Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/personal-finance-software-market-global-industry-analysis
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Personal Finance Software Market Outlook



    According to our latest research, the global personal finance software market size reached USD 1.29 billion in 2024, driven by the growing adoption of digital financial tools and rising consumer demand for financial literacy solutions. The market is set to expand at a robust CAGR of 5.8% from 2025 to 2033, propelling the market to a forecasted value of USD 2.16 billion by the end of 2033. This sustained growth is primarily due to the increasing penetration of smartphones, the proliferation of internet access, and a heightened focus on personal wealth management and budgeting among individuals and small businesses worldwide. As per the latest research, the market’s momentum is further bolstered by technological advancements and the integration of artificial intelligence and machine learning into personal finance platforms, which enhance user experience and offer more personalized financial insights.



    One of the key growth factors propelling the personal finance software market is the rising consumer awareness regarding the importance of financial planning and management. The ongoing shift towards digital banking and cashless transactions has made it increasingly essential for individuals to track their finances, budget effectively, and plan for future investments. As a result, consumers are turning to personal finance software for features such as automated expense tracking, real-time account synchronization, and goal-setting tools. The proliferation of user-friendly mobile applications and web-based platforms has further democratized access to financial management tools, making them more accessible to a broader demographic, including millennials and Gen Z, who are particularly tech-savvy and value financial independence.



    Another significant driver is the integration of advanced technologies such as artificial intelligence, machine learning, and data analytics into personal finance software. These technologies enable platforms to provide personalized recommendations, predictive analytics, and automated insights into spending habits, investment opportunities, and risk factors. AI-driven chatbots and virtual financial advisors are increasingly being adopted to enhance customer support and deliver tailored advice, thereby improving user engagement and retention. The ability to aggregate data from multiple financial accounts and provide a holistic view of an individual’s financial health is a compelling value proposition that continues to drive adoption among both individual consumers and small businesses. Furthermore, the rise of open banking initiatives and APIs has facilitated seamless integration between personal finance software and various financial institutions, enhancing interoperability and user experience.



    The growing need for compliance and regulatory adherence, particularly in regions with stringent data privacy laws, is also shaping the evolution of the personal finance software market. Software providers are investing heavily in robust security features, encryption protocols, and compliance frameworks to ensure the safety and confidentiality of user data. This focus on security is particularly critical as cyber threats and financial fraud become more sophisticated. Additionally, the emergence of cloud-based deployment models has allowed vendors to offer scalable and cost-effective solutions that cater to a diverse range of users, from individuals to large enterprises. The ability to access financial data and management tools from anywhere, at any time, is a significant advantage driving the shift towards cloud-based platforms.



    From a regional perspective, North America currently dominates the personal finance software market, accounting for the largest share due to high digital literacy, widespread adoption of financial technologies, and the presence of major software vendors. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by rapid urbanization, increasing smartphone penetration, and a growing middle-class population with rising disposable incomes. Europe remains a significant market, characterized by a strong regulatory framework and a mature banking sector that supports the adoption of advanced financial management solutions. Meanwhile, Latin America and the Middle East & Africa are emerging as promising markets, fueled by economic development, improved internet infrastructure, and a burgeoning fintech ecosystem.



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  5. i

    Sisters of Success: Measuring the Impact of Mentoring and Girls Groups in...

    • catalog.ihsn.org
    • microdata.worldbank.org
    Updated Sep 19, 2018
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    Tricia Kroknay-Palicz (2018). Sisters of Success: Measuring the Impact of Mentoring and Girls Groups in Supporting Girls’ Transition Into Adolescence and Adulthood 2013 - Liberia [Dataset]. https://catalog.ihsn.org/catalog/7342
    Explore at:
    Dataset updated
    Sep 19, 2018
    Dataset provided by
    Joao Montalvao
    Juliette Seban
    Tricia Kroknay-Palicz
    Time period covered
    2013 - 2014
    Area covered
    Liberia
    Description

    Abstract

    The Sisters of Success (SOS) program supports girls’ transition into adolescence and adulthood. The SOS program’s primary goals are to reduce in-school girls’ likelihood of dropping out of school; to increase out-of-school girls’ likelihood of returning to school; and to reduce girls’ risky sexual behavior and likelihood of becoming pregnant as a minor. More broadly, the SOS program aims to help girls adopt healthy behaviors; build confidence and self-esteem; learn and practice their rights; begin to develop savings and financial literacy habits; increase their community participation and involvement; and work towards their own personal development goals.

    The SOS program was implemented in Monrovia, Liberia, by IRC and two local organizations - EDUCARE and Planned Parenthood Association of Liberia (PPAL) - during 2014 and 2015. The program matched girls to mentors - approximately ten girls per mentor, and involved “Sisterhood Meetings” of two mentors and their respective mentees, twice a month over the course of 15 months, as well as some larger group extracurricular activities. Mentors are women from the community that are 18 or older, secondary school graduates, who volunteered to become mentors.

    The baseline data will be used jointly with an endline dataset to evaluate the impact of the Sisters of Success program.

    Geographic coverage

    Liberia’s capital city, Monrovia.

    Analysis unit

    • Households
    • Girls

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The recruitment of girls interested in the SOS program, who would also be part of the research, was carried out during October and November 2013, across Greater Monrovia, in 16 urban and 2 peri-urban communities.

    These 18 communities jointly have a population of 264.000. We estimate that these 18 zones jointly have a total of 11.000 girls aged 12-15.7 In total, 3,060 eligible girls registered as interested in the SOS program. Recruitment targets were set by community, in line with each community’s population, and recruitment within each community was closed once that community’s target was met.

    The research team carried out a baseline survey between October 2013 and January 2014, and successfully interviewed 2,884 of these girls as well as one guardian for each girl. These 2,884 girls thus became the “study sample.”, and they were then randomly assigned by the research team to either a “treatment group” that will receive the SOS program (1420 girls), or a “control group” that will not (1464 girls). Randomization to treatment or control was done in January 2014 at the individual-girl level, and stratified by zone, age of girl, and the girl’s schooling status. Also, close friends, sisters, and girls who live together were randomized jointly to treatment or control. Approximately half of the girls were assigned to the treatment group, and half to the control group.

    The study has included two data collection rounds: a baseline survey after enrollment but before randomization into treatment and control; and an endline survey that began in December 2015, approximately nine months after the conclusion of the SOS program. Survey data is collected from all girls in the study sample, as well as a guardian for each. The impact of the program will be captured by comparing the endline data for the treatment girls to the endline data for the control girls. Qualitative data is also collected to help better establish the mechanisms through which the program is impacting the girls as well as their life experiences during this life juncture. This will be gathered through in-depth qualitative interviews carried out one-on-one by trained researchers with a panel of girls, who are a randomly selected sub-set of study sample girls. A first round of interviews was done a few months after the program’s start.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    Data was collected from individuals using two quantitative survey instruments developed for this study: a survey instrument for girls (“Girls questionnaire”) and a survey instrument for guardians (Household questionnaire).

    Cleaning operations

    Questionnaires were sent to a data entry firm in Ghana at the end of the survey, and data were entered from February until April 2014. The data entry firm entered the data twice and then compared the two entries to control for the eventuality of data entry error. Data were renamed, checked for inconsistencies, and labelled by a qualified IPA RA.

    Data appraisal

    A minimum of 15% of the surveys were randomly selected for a data audit. IPA, in collaboration with the Evaluation team, prepared an audit form that draws from the full-length questionnaire. The audit questionnaire is intended to last no more than 15 minutes of interview time. A comparison/discrepancies sheet was created and filled by the Auditor. Auditors worked independently of the baseline team in order to limit communication between the auditors and the enumerators.

  6. d

    Survey of Household Spending, 1999 [Canada]

    • search.dataone.org
    Updated Dec 28, 2023
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    Income Statistics Division (2023). Survey of Household Spending, 1999 [Canada] [Dataset]. http://doi.org/10.5683/SP3/JJGICY
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Income Statistics Division
    Time period covered
    Jan 1, 1999 - Dec 31, 1999
    Area covered
    Canada
    Description

    This public-use microdata file presents the data of the 1999 Survey of Household spending (SHS) conducted in January through March 2000. Information about the spending habits, dwelling characteristics and household equipment of Canadian households during 1999 was obtained by asking people in the ten provinces and three territories to recall their expenditures for the previous calendar year (spending habits) or as of December 31st (dwelling characteristics and household equipment). Conducted since 1997, the Survey of Household Spending integrates most of the content found in the Family Expenditure Survey and the Household Facilities and equipment Survey. Many data from these two surveys are comparable to the Survey of Household spending data. However, some differences related to methodology, to data quality and to definitions must be considered before comparing these data. See "Notes" and consult the "Users Guide". Dwelling characteristics include: type of dwelling, repairs needed (major, minor, none), tenure, year of move, period of construction, number of rooms, number of bathrooms, principal heating equipment and fuel, age of principal heating equipment, principal heating fuel for hot water, and principal cooking fuel. Household equipment includes: washing machines, dryers, dishwashers, refrigerators, freezers, air conditioners, telephones, cellular phones, compact disc players, cablevision, video cassette recorders, computers, modems, internet use from home, televisions, and vehicles. Characteristics of the household, reference person, and spouse of reference person are also provided

  7. Average reading time in the U.S. 2018-2023, by age group

    • statista.com
    Updated Jun 24, 2025
    + more versions
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    Statista (2025). Average reading time in the U.S. 2018-2023, by age group [Dataset]. https://www.statista.com/statistics/412454/average-daily-time-reading-us-by-age/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average daily time spent reading by individuals in the United States in 2023 amounted to **** hours, or **** minutes. According to the study, adults over the age of ** were the most avid readers, spending over ** minutes reading each day. Meanwhile, those aged between 15 and 19 years read for less than **** minutes per day on average. Reading and COVID-19 Daily time reading increased among most consumers between 2019 and 2020, part of which could be linked to the unprecedented increases in media consumption during COVID-19 shutdowns. The mean annual expenditure on books per consumer unit also increased year over year, along with spending on digital book readers. Book reading habits A 2020 survey on preferred book formats found that ** percent of U.S. adults favored print books over e-books or audiobooks. However, engagement with digital books is growing. Figures from an annual study on book consumption revealed that the share of adults who reported reading an audiobook in the last year almost doubled between 2011 and 2019, and e-book readership also grew overall during that period.

  8. D

    AI In Financial Wellness Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). AI In Financial Wellness Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-ai-in-financial-wellness-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Dec 3, 2024
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    AI in Financial Wellness Market Outlook



    The AI in Financial Wellness Market has been experiencing a significant surge, with the market size projected to grow from approximately USD 2.5 billion in 2023 to USD 9.7 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 16.5%. This impressive growth is driven by an increasing recognition of the value that artificial intelligence brings to financial management. The ability of AI to analyze vast amounts of financial data, provide personalized recommendations, and automate routine tasks is revolutionizing the way individuals and organizations manage their finances. The growing adoption of AI technologies in the financial sector can be attributed to their potential to enhance decision-making efficiency, reduce costs, and improve overall user experience.



    One of the key growth factors in the AI in Financial Wellness Market is the increasing demand for personalized financial services. As consumers become more financially savvy, they seek solutions that cater to their unique needs. AI-powered tools offer tailored financial advice by analyzing individual spending patterns, income levels, and financial goals. This personalized approach not only improves user satisfaction but also encourages better financial habits, thus fueling market growth. Additionally, the rise in digital literacy and the growing reliance on mobile banking apps have created a conducive environment for the adoption of AI-driven financial wellness tools.



    The integration of AI into financial wellness is also being propelled by advancements in data analytics and machine learning technologies. These technologies enable AI systems to process and interpret large volumes of financial data with unprecedented accuracy and speed. As a result, financial institutions and enterprises are increasingly leveraging AI to enhance risk assessment, fraud detection, and investment strategies. Furthermore, the ongoing digital transformation across various sectors is paving the way for AI solutions to become more sophisticated and accessible, thus driving market expansion. This trend is particularly evident in emerging markets where digital infrastructure is rapidly improving.



    Another significant driver for the AI in Financial Wellness Market is the growing focus on financial inclusion. AI technologies have the potential to bridge the gap between underserved populations and financial services, providing access to crucial financial tools and resources. By democratizing financial advice and reducing barriers to entry, AI is enabling a broader segment of the population to participate in the financial ecosystem. This inclusive approach not only enhances individual financial well-being but also contributes to the overall economic development of regions, further boosting market growth.



    Regionally, the North American market is expected to lead the AI in Financial Wellness Market due to the presence of major financial institutions and tech companies that are early adopters of AI technologies. The region's robust digital infrastructure and favorable regulatory environment further support market growth. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, driven by increasing smartphone penetration, rising middle-class income, and a growing appetite for digital financial solutions. The European market is also poised for significant growth, with initiatives aimed at promoting financial literacy and technological innovation. Meanwhile, Latin America and the Middle East & Africa are gradually catching up, as digital financial services gain traction and governments invest in technological upgrades.



    Component Analysis



    The AI in Financial Wellness Market can be segmented by component into software and services. The software segment is anticipated to hold a significant share of the market, driven by the increasing demand for innovative financial management applications. AI-powered software solutions offer a range of functionalities, from budgeting and expense tracking to complex investment analysis and retirement planning. These tools are designed to process large datasets efficiently, allowing users to make informed financial decisions. The growing trend of personalized finance management further propels the demand for AI software, as consumers seek applications that cater to their specific financial needs and goals.



    On the other hand, the services segment is gaining traction as enterprises and financial institutions increasingly rely on external expertise to integrate and optimize AI technologies. Service prov

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GoMask.ai (2025). Personal Finance Budgeting Records [Dataset]. https://gomask.ai/marketplace/datasets/personal-finance-budgeting-records

Personal Finance Budgeting Records

Explore at:
csv(Unknown)Available download formats
Dataset updated
Jul 22, 2025
Dataset provided by
GoMask.ai
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Variables measured
amount, category, currency, record_id, description, payer_payee, record_type, subcategory, household_id, is_recurring, and 8 more
Description

This dataset provides detailed, household-level records of income and expenses, including transaction categories, payment methods, recurrence patterns, and basic household demographics. It enables comprehensive budgeting analysis, supports financial literacy initiatives, and can power personalized financial recommendations and research into household spending habits.

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