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When people have problems with financial products and services, they can file a complaint with the Consumer Financial Protection Bureau (CFPB). This agency collects complaints and sends them to the company involved to help solve the issue.

Between 2017 and 2023, many customers filed complaints about Bank of America related to different financial products, such as bank accounts, credit cards, loans, and mortgages. Each complaint includes details like:

The date it was submitted to the CFPB. The date the CFPB sent it to the bank for review. The specific financial product involved (e.g., checking account, credit card, mortgage). The issue (e.g., unauthorized transactions, loan repayment problems, fees). The bank's response (e.g., refunding money, explaining the issue, or rejecting the complaint). Common Issues in Complaints Unauthorized Transactions – Customers reported money missing from their accounts or transactions they didn’t make. High or Unexpected Fees – Some people were charged fees they didn’t expect, like overdraft or maintenance fees. Loan and Mortgage Problems – Customers faced issues with loan payments, refinancing, or incorrect charges. Credit Card Disputes – Some users had trouble resolving incorrect charges on their credit cards. How Bank of America Responded The bank usually responded by:

Providing an explanation for the charge or issue. Issuing refunds when mistakes were found. Denying the complaint if they believed no error occurred. Not all complaints resulted in a solution for the customer, but reporting issues helps the CFPB track banking problems and ensure companies follow fair financial practices.

This Dataset shows the location of the Bank of America branches and ATMs in the Washington DC area. I was able to geocode these locations based on street addresses provided by this website: http://www.insiderpages.com/s/DC/Washington/Banks_page277?sort=alpha&radius=50

Context

The main objective is to provide historical information on stock prices of certain banks. The goal is to make the information easily accessible in case it cannot be downloaded directly from yahoo finance. The idea is that different behaviors in stock prices can be analyzed over time to gain a better understanding of the banking industry. You can also see how different events affect prices, such as the 2007 subprime mortgage crisis, presidential elections, major political reforms, etc.

Content

The dataset contains 99 csv files. Each file has stock information from a specific bank or Financial Service company from Jan 1st, 2006 to Nov 1st, 2020.

For instance, you can find the following banks in this dataset: * Bank of America (BAC) * CitiGroup (C) * Goldman Sachs (GS) * JPMorgan Chase (JPM) * Morgan Stanley (MS) * Wells Fargo (WFC)

Acknowledgements

Yahoo Finance | Technology Sector SEC EDGAR | Company Filings NASDAQ | Historical Quotes

Inspiration

Many have tried, but most have failed, to predict the stock market's ups and downs. Can you do any better? Can you create visualizations that help investors make important decisions?

More Datasets

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Banks: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 9(1.23%) households where the householder is under 25 years old, 327(44.79%) households with a householder aged between 25 and 44 years, 323(44.25%) households with a householder aged between 45 and 64 years, and 71(9.73%) households where the householder is over 65 years old.
• In Banks, the age group of 25 to 44 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Banks median household income by age. You can refer the same here

Cloud-Based Sensory Substitution Dataset Bank Market Outlook

According to our latest research, the global market size for the Cloud-Based Sensory Substitution Dataset Bank Market reached USD 412.7 million in 2024, with a robust CAGR of 18.5% projected during the forecast period. By 2033, the market is anticipated to reach USD 1,964.2 million, reflecting the accelerating adoption of cloud-based solutions and the growing investment in sensory substitution technologies worldwide. The primary growth factor for this market is the increasing demand for advanced assistive technologies and the rapid evolution of cloud infrastructure, enabling global accessibility and scalability for sensory substitution datasets.

The growth of the Cloud-Based Sensory Substitution Dataset Bank Market is driven by several critical factors, foremost among them being the escalating prevalence of sensory impairments across the globe. With an aging population and rising incidences of vision and hearing loss, there is a pressing need for innovative assistive technologies that can bridge sensory gaps. Cloud-based dataset banks enable researchers and developers to access, train, and validate sensory substitution algorithms more efficiently, fostering rapid advancements in healthcare and assistive technology. The integration of artificial intelligence and machine learning with these datasets is further accelerating the development of more intuitive and effective sensory substitution devices, creating new opportunities for both established players and emerging startups in the market.

Another significant growth driver is the proliferation of cloud computing and the increasing digitalization of healthcare and research infrastructures. Cloud-based platforms offer unparalleled scalability, flexibility, and cost-effectiveness, allowing organizations to store, process, and share large volumes of sensory substitution data securely and efficiently. This has led to a surge in collaborative research initiatives, with academic institutions, hospitals, and technology companies leveraging shared datasets to drive innovation. The adoption of cloud-based sensory substitution dataset banks is also being propelled by favorable government policies and funding initiatives aimed at fostering accessibility and inclusivity for individuals with sensory disabilities, further stimulating market expansion.

The market is also benefiting from the growing emphasis on personalized medicine and user-centric assistive technologies. As the demand for customized sensory substitution solutions rises, cloud-based dataset banks are playing a pivotal role by providing diverse, high-quality data that supports the development of tailored devices and applications. This trend is particularly pronounced in the healthcare and education sectors, where sensory substitution technologies are being integrated into therapeutic interventions and learning environments. Additionally, the increasing awareness and acceptance of sensory substitution devices among end-users, coupled with ongoing advancements in hardware and software components, are contributing to sustained market growth.

From a regional perspective, North America currently leads the Cloud-Based Sensory Substitution Dataset Bank Market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The dominance of North America can be attributed to the presence of leading technology companies, robust healthcare infrastructure, and significant investments in research and development. Europe is witnessing substantial growth due to strong government support and a thriving academic research ecosystem, while Asia Pacific is emerging as a lucrative market driven by rapid digitalization, rising healthcare expenditure, and increasing awareness of sensory substitution technologies. Latin America and the Middle East & Africa are also experiencing steady growth, albeit at a slower pace, as infrastructure development and adoption rates continue to improve.

Component Analysis

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PGvsPI-46 works on financial markets in the Inter-American Development Bank, and from that perspective provides insights into financial liberalization processes in Latin American countries and the impact of global developments on Latin American financial markets. The Financial Elite Policymakers Interviewed (FINEPINT) database consists of interviews with financial policymakers from advanced economies and emerging markets. The interviews touch upon both national-level regulatory developments and global-level policymaking processes, as well as the interactions between the two. Interviewees are officials from Ministries, Central Banks and Financial Supervisors, representatives of banking and financial associations, representatives of Civil Society Organizations, and officials from International Organizations working on global financial governance.The semi-structured interviews followed a standard format in which policymakers were asked about:1. The development of their negotiating positions, asking who is involved internally, how the positions are informed by external actors, and who are the main partners in the policymaking process.2. The developments in policymaking processes, asking what were the main drivers of new issues emerging on the agenda, what issues came up in policymaking processes, and who is influential in the policymaking processes.3. The outcomes, asking how the main issues in policymaking processes were resolved and what the expected impacts of new policies will be.Interviews were conducted from 1992 onwards, covering a period of profound changes in the global financial system and its governance. Broad topics that were the focal points of different waves of interviews were the interaction between public and private actors in global policymaking, the political economy of financial liberalization, the internationalization / globalization of financial markets and the regulatory response to this, the Basel Capital Accords, the resolution of sovereign debt crisis, and sustainable finance.Interviewees have been provided with the following options for the use of the transcript:• Quotation: direct quotes from the interview may be used and attributed in the reference.• Referencing, no quotation: interview may be refenced by name as support for a claim, but no direct quotes may be used.• No quotation or referencing: the interview may not be quoted or referenced by name.The principal investigators of the projects included in this database are prof. G.R.D. Underhill and dr. J. Blom. Data collection and development of this dataset has been made possible by:• NWO MaGW Open Competition grant ‘Public-private interaction and shifting patterns of governance’ (grant no. 400-04-233, prof. G.R.D. Underhill)• UKRI ESRC World Economy and Finance program grant ‘National and International Aspects of Financial Development’ (grant no. RES-156-25-0009).• EU Horizon 2020 Research and Innovation program, Marie Sklodowska-Curie Individual Fellowship grant ‘G20LAP: G20 Legitimacy and Policymaking’ (grant agreement no. 845121, dr. J. Blom).

Water and Sanitation Tariff Dataset

This dataset, created by the Knowledge team in the IDB’s Water and Sanitation Division, compiles publicly available information to compare tariff systems and subsidies across Latin America and the Caribbean.

It includes data on:

1. - Residential drinking water and sanitation tariffs


2. - Subsidies


3. - Tariff types


4. - Metering


5. - Other sector details

The dataset has been simplified and published through the Water and Sanitation Observatory (OLAS) to support its mission of providing consistent, reliable, and updated data for understanding the sector at both national and regional levels—aligned with SDG 6.

For a deeper dive into the process and key trends, see: How Much Do Households Pay for Water Supply and Sanitation Services in Latin America? A Descriptive Analysis of Tariffs and Subsidies in the Region.

Central Bank Balance Sheet in the United States decreased to 6587119 USD Million in October 1 from 6608395 USD Million in the previous week. This dataset provides - United States Central Bank Balance Sheet - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in the United States was last recorded at 4.25 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Red Bank. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Red Bank, the median household income for the households where the householder is White increased by $14,077(28.62%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $49,192 in 2013 and $63,269 in 2023.
• Black or African American: In Red Bank, the median household income for the households where the householder is Black or African American increased by $22,504(86.49%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $26,019 in 2013 and $48,523 in 2023.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Red Bank.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• 2023: 2023 median household income
• Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Red Bank median household income by race. You can refer the same here

LAC is the most water-rich region in the world by most metrics; however, water resource distribution throughout the region does not correspond demand. To understand water risk throughout the region, this dataset provides population and land area estimates for factors related to water risk, allowing users to explore vulnerability throughout the region to multiple dimensions of water risk. This dataset contains estimates of populations living in areas of water stress and risk in 27 countries in Latin America and the Caribbean (LAC) at the municipal level. The dataset contains categories of 18 factors related to water risk and 39 indices of water risk and population estimates within each with aggregations possible at the basin, state, country, and regional level. The population data used to generate this dataset were obtained from the WorldPop project 2020 UN-adjusted population projections, while estimates of water stress and risk come from WRI’s Aqueduct 3.0 Water Risk Framework. Municipal administrative boundaries are from the Database of Global Administrative Areas (GADM). For more information on the methodology users are invited to read IADB Technical Note IDB-TN-2411: “Scarcity in the Land of Plenty”, and WRIs “Aqueduct 3.0: Updated Decision-relevant Global Water Risk Indicators”.

This statistic shows a ranking of the estimated bank account penetration in 2020 in Latin America and the Caribbean, differentiated by country. The penetration rate refers to the share of the total population.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Money Supply M0 in the United States decreased to 5686400 USD Million in August from 5740300 USD Million in July of 2025. This dataset provides - United States Money Supply M0 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Social Indicators of Latin America and the Caribbean is a diverse dataset of indicators designed to capture social conditions in Latin America and the Caribbean.

The social indicators are derived from national household survey data, Censuses, and other sources, covering 21 countries from 1990 to the present. While the social indicators encompass traditional global metrics, the database also features tailor-made indicators in five areas to more accurately capture conditions in LAC. Those include:

1. 1. Demographics
2. 2. Education
3. Labor Market
3. 4. Housing, and
4. 5. Income

Moreover, unlike traditional aggregate indicators, the social indicators are disaggregated by:

• - ethnicity and race (when available)
• - gender
• - geographic residence
• - education, and
• - income quintile.

The indicators are not intended to serve as official data for any particular country but instead aim to provide a comparable set of social indicators for the Latin American region.

The Institute for the Integration of Latin America and the Caribbean (INTAL) of the Integration and Trade Sector of the Inter-American Development Bank (IDB) conducted this survey of Latin American and Caribbean (LAC) companies that export both within the region and outside the region. The objective of the analysis is to understand how their exports are evolving, what problems they face, what measures they have taken, what public support policies they have received, and what the prospective vision of the companies is.

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

Money Supply M2 in the United States increased to 21942 USD Billion in May from 21862.40 USD Billion in April of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq This dataset was created to compile information about Board of Adjustment (BOA) cases filed with the City of Austin. The information is retrieved daily from the City's Application MANagement and Data Automation (AMANDA) database and includes information on _location, proposed variances, applicants, owners, case managers etc, if available. Note that many fields are intentionally left blank or are not filled out for various reasons.More information about the BOA process is available at http://www.austintexas.gov/boa and by using the Austin Build and Connect portal https://abc.austintexas.gov/web/permit/public-search-other.

The Better Jobs Index is a tool for comparative analysis of labor markets in Latin America. This index evaluates the state of employment in the region through two dimensions: quantity and quality, each comprising two indicators. The quantity dimension measures how many people wish to work (labor force participation) and how many are actually employed (employment rate). The quality dimension assesses how much of the work generated is registered in social security systems (formality) and how many workers earn wages sufficient to lift them above the poverty line (sufficient wages). Through the Better Jobs Index, the Inter-American Development Bank aims to provide countries with a new instrument to more effectively monitor employment conditions, facilitate cross-country comparisons, and promote policies that lead to more favorable employment conditions.

This dataset provides information about the number of properties, residents, and average property values for Boa Vista Circle cross streets in Costa Mesa, CA.