Among the four largest banks headquartered in the United States, JPMorgan Chase had the highest number of active mobile customers in 2024. Over ** million JPMorgan Chase customers were active mobile banking users. Bank of America had the second-highest number of active mobile customers, which was roughly ** million.

Between 2013 and 2024, the number of customers using mobile banking at JPMorgan Chase increased more than threefold. In 2013, the American banking giant had 15.6 million mobile users, which grew to 57.8 million users in 2024. With this number, JPMorgan Chase had the highest number of mobile banking customers among the largest banks in the United States.

In 2024, the total number of unique customers who booked travel through JPMorgan Chase Travel experienced a ** percent annual increase. That year, roughly *** million unique customers made travel bookings via the company.

Between 2012 and 2025, the total number of complaints filed by JPMorgan Chase customers rose by more than four times. In the first quarter of 2012, the American banking giant received over ***** consumer complaints, which grew to over ****** by the second quarter of 2025. This significant increase can be attributed to several factors, including greater consumer awareness of their rights, increased complexity in banking products and services, and a heightened willingness to report issues.

United States JPMC: Number of Reporting Institutions data was reported at 1.000 USD th in Dec 2019. This stayed constant from the previous number of 1.000 USD th for Sep 2019. United States JPMC: Number of Reporting Institutions data is updated quarterly, averaging 1.000 USD th from Dec 2000 (Median) to Dec 2019, with 77 observations. The data reached an all-time high of 1.000 USD th in Dec 2019 and a record low of 1.000 USD th in Dec 2019. United States JPMC: Number of Reporting Institutions data remains active status in CEIC and is reported by Federal Deposit Insurance Corporation. The data is categorized under Global Database’s United States – Table US.KB054: Financial Data: Federal Deposit Insurance Corporation: JPMorgan Chase Bank.

Between 2022 and 2024, JPMorgan Chase generated the majority of its worldwide net revenue in the consumer and community banking sector. In 2024, this segment generated over 71 billion U.S. dollars in revenues, marking a slight increase compared to the previous years.

Thailand CB: Number of Branches: North: JPMorgan Chase Bank data was reported at 0.000 Unit in Feb 2019. This stayed constant from the previous number of 0.000 Unit for Jan 2019. Thailand CB: Number of Branches: North: JPMorgan Chase Bank data is updated monthly, averaging 0.000 Unit from Dec 2018 (Median) to Feb 2019, with 3 observations. The data reached an all-time high of 0.000 Unit in Feb 2019 and a record low of 0.000 Unit in Feb 2019. Thailand CB: Number of Branches: North: JPMorgan Chase Bank data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.KB024: Commercial Banks: Number of Branches.

The assets of JPMorgan Chase increased significantly between 2006 and 2024, reaching its peak value in 2024. In 2024, the bank reported total assets worth over four trillion U.S. dollars, a notable increase compared to the previous year.

The market capitalization of JPMorgan Chase reached a new high in 2024, following a year of declining market capitalization. At the end of 2024, the JPMorgan Chase's market capitalization stood at 670.62 billion U.S. dollars, the largest value during the observed period, up from 489.32 billion U.S. dollars a year earlier.

Thailand JPMC: Assets: Loans to Customers and Accrued Interest Recv: Net data was reported at 876,992.000 THB th in Mar 2025. This records a decrease from the previous number of 906,754.000 THB th for Feb 2025. Thailand JPMC: Assets: Loans to Customers and Accrued Interest Recv: Net data is updated monthly, averaging 1,726,117.000 THB th from Jan 2011 (Median) to Mar 2025, with 171 observations. The data reached an all-time high of 4,539,692.000 THB th in Oct 2015 and a record low of 454,019.000 THB th in Aug 2011. Thailand JPMC: Assets: Loans to Customers and Accrued Interest Recv: Net data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.KB071: Balance Sheet: Foreign Bank: JPMorgan Chase Bank.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Chase City: 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 0 households where the householder is under 25 years old, 227(20.83%) households with a householder aged between 25 and 44 years, 388(35.60%) households with a householder aged between 45 and 64 years, and 475(43.58%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the town of Chase City, showcasing varying income levels among different age demographics.

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 Chase City median household income by age. You can refer the same here

The return on common equity (ROE) of JPMorgan Chase fluctuated considerably between 2007 and 2024, with an overall increasing trend during the last decade. As of 2024, JPMorgan Chase's ROE was 18 percent, up from 17 percent in the previous year. This was the second-highest ROE reported by the bank in the observed period, with only 2021 seeing higher returns on equity.

Thailand CB: Number of Branches: JPMorgan Chase Bank data was reported at 1.000 Unit in Feb 2019. This stayed constant from the previous number of 1.000 Unit for Jan 2019. Thailand CB: Number of Branches: JPMorgan Chase Bank data is updated monthly, averaging 1.000 Unit from Dec 2018 (Median) to Feb 2019, with 3 observations. The data reached an all-time high of 1.000 Unit in Feb 2019 and a record low of 1.000 Unit in Feb 2019. Thailand CB: Number of Branches: JPMorgan Chase Bank data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.KB024: Commercial Banks: Number of Branches.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Chase township. The dataset can be utilized to gain insights into gender-based income distribution within the Chase township population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Chase township, among individuals aged 15 years and older with income, there were 483 men and 354 women in the workforce. Among them, 209 men were engaged in full-time, year-round employment, while 141 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 17.22% fell within the income range of under $24,999, while 24.82% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 23.44% of men in full-time roles earned incomes exceeding $100,000, while 14.18% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 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 $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Chase township median household income by race. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Chase town: 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 11(0.98%) households where the householder is under 25 years old, 376(33.63%) households with a householder aged between 25 and 44 years, 562(50.27%) households with a householder aged between 45 and 64 years, and 169(15.12%) households where the householder is over 65 years old.
• The age group of 25 to 44 years exhibits the highest median household income, while the largest number of households falls within the 45 to 64 years bracket. This distribution hints at economic disparities within the town of Chase town, showcasing varying income levels among different age demographics.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 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 Chase town median household income by age. You can refer the same here

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Chase town. The dataset can be utilized to gain insights into gender-based income distribution within the Chase town population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Chase town, among individuals aged 15 years and older with income, there were 1,256 men and 1,146 women in the workforce. Among them, 764 men were engaged in full-time, year-round employment, while 648 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 0.52% fell within the income range of under $24,999, while 8.64% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 18.19% of men in full-time roles earned incomes exceeding $100,000, while 6.79% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

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

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 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 $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

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 Chase town median household income by race. You can refer the same here

This dataset provides information about the number of properties, residents, and average property values for Morgan Chase cross streets in Honeoye Falls, NY.

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Chase township: 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 3(0.85%) households where the householder is under 25 years old, 49(13.80%) households with a householder aged between 25 and 44 years, 150(42.25%) households with a householder aged between 45 and 64 years, and 153(43.10%) households where the householder is over 65 years old.
• The age group of 45 to 64 years exhibits the highest median household income, while the largest number of households falls within the 65 years and over bracket. This distribution hints at economic disparities within the township of Chase township, showcasing varying income levels among different age demographics.

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 Chase township median household income by age. You can refer the same here

Thailand JPMC: Assets: Customers' Liabilities under Acceptances data was reported at 0.000 THB th in Oct 2018. This stayed constant from the previous number of 0.000 THB th for Sep 2018. Thailand JPMC: Assets: Customers' Liabilities under Acceptances data is updated monthly, averaging 0.000 THB th from Jan 2011 (Median) to Oct 2018, with 94 observations. The data reached an all-time high of 407,670.000 THB th in Oct 2012 and a record low of 0.000 THB th in Oct 2018. Thailand JPMC: Assets: Customers' Liabilities under Acceptances data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.KB064: Balance Sheet: Foreign Bank: JP Morgan Chase Bank.

In 2024, the majority of JPMorgan Chase's long-term debt had maturities ranging from one to five years, totaling approximately 217.5 million U.S. dollars. Long-term debt with maturities exceeding five years amounted to nearly 143 million U.S. dollars. Overall, the total value of long-term debt at the American banking giant surpassed 400 million U.S. dollars in 2024.