In December 2022 and 2023, the median income of discount/dollar store visitors in the United States increased to over ** thousand U.S. dollars. In other words, wealthier consumers visit discount and dollar stores during the peak holiday season.

The dollar and variety store industry has been on a steady upward trajectory, with revenue expanding at a CAGR of 0.8% over the past five years. In 2025, industry revenue will reach $119.2 billion, a notable 2.0% gain from the previous year. This growth has been fueled by strategic product diversification and an appealing value proposition that attracts a broader consumer base. Notably, the introduction of higher-priced items by chains like Dollar Tree has driven up the average ticket size, boosting sales per store. Additionally, these stores have effectively managed inflationary pressures by maintaining competitive pricing while expanding their product offerings, holding profit steady over the period. Over the past five years, the industry has significantly shifted its image and customer base. By expanding product selections to include top-brand and private-label goods, dollar stores have attracted higher-income shoppers seeking value without compromising quality. Strategic store locations in urban areas have made these businesses more accessible and appealing to affluent consumers. Though there was a 1.1% decline in foot traffic, the average transaction amount rose by 2.3%, indicating a shift toward larger purchases per visit. Enhanced e-commerce capabilities through partnerships with platforms like Instacart and DoorDash have bolstered revenue by providing convenient shopping options, allowing dollar stores to compete more effectively with retail giants like Walmart and Amazon. Looking ahead, the industry is poised for continued growth at a CAGR of 1.2% over the next five years. Revenue will climb to $126.4 billion through 2030, driven by private label expansion and strategic forays into underserved areas. By increasing private label penetration, major chains like Dollar Tree and Dollar General are taking advantage of the products’ higher returns. Meanwhile, targeting rural and low-income regions offers new revenue streams with less competition. However, the industry's growth won't be without challenges. Increasing competition from warehouse clubs and supermarkets and potential tariff-related cost pressures will challenge profit. Yet, dollar stores can sustain their momentum by innovating store concepts and expanding product lines to continue capturing a diverse consumer base.

Total-Revenue Time Series for Dollar Tree Inc. Dollar Tree, Inc. operates retail discount stores under the Dollar Tree and Dollar Tree Canada brands in the United States and Canada. The company offers consumable merchandise comprising everyday consumables, such as household paper and chemicals, food, candy, health, personal care products, and frozen and refrigerated food; variety merchandise consisting of toys, durable housewares, gifts, stationery, party goods, greeting cards, softlines, arts and crafts supplies, and other items; and seasonal goods, including Christmas, Easter, Halloween, and Valentine's Day merchandise. Dollar Tree, Inc. was founded in 1986 and is based in Chesapeake, Virginia.

This map shows where dollar stores are located in New Mexico, and lets you compare their locations to grocery stores, and income and demographic data. To read about potentially hazardous products being sold at dollar stores, check out Marisa Demarco's article here.

In the fiscal year ended February 4, 2024, The best performing Family Dollar product category in terms of sales was consumable merchandise, with revenues exceeding 11 billion U.S. dollars. Family Dollar is a brand of discount variety stores operated by Dollar Tree. The company operates under the brands Dollar Tree, Dollar Tree Canada, and Family Dollar. Family Dollar was acquired by Dollar Tree in June, 2015.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Green Tree. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Green Tree, the median income for all workers aged 15 years and older, regardless of work hours, was $57,765 for males and $43,984 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 24% between the median incomes of males and females in Green Tree. With women, regardless of work hours, earning 76 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in theborough of Green Tree.

Surprisingly, within the subset of full-time workers, women earn a higher income than men, earning 1.04 dollars for every dollar earned by men. This suggests that within full-time roles, womens median incomes significantly surpass mens, contrary to broader workforce trends.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Green Tree median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Lone Tree township. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Lone Tree township, the median income for all workers aged 15 years and older, regardless of work hours, was $65,625 for males and $48,906 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 25% between the median incomes of males and females in Lone Tree township. With women, regardless of work hours, earning 75 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thetownship of Lone Tree township.

Interestingly, when analyzing income across all roles, including non-full-time employment, the gender pay gap percentage was higher for women compared to men. It appears that full-time employment presents a more favorable income scenario for women compared to other employment patterns in Lone Tree township.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Lone Tree. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Lone Tree, the median income for all workers aged 15 years and older, regardless of work hours, was $45,129 for males and $32,045 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 29% between the median incomes of males and females in Lone Tree. With women, regardless of work hours, earning 71 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Lone Tree.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Lone Tree, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Lone Tree median household income by race. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Cherry Tree. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Cherry Tree, the median income for all workers aged 15 years and older, regardless of work hours, was $53,393 for males and $24,318 for females.

These income figures highlight a substantial gender-based income gap in Cherry Tree. Women, regardless of work hours, earn 46 cents for each dollar earned by men. This significant gender pay gap, approximately 54%, underscores concerning gender-based income inequality in the borough of Cherry Tree.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Cherry Tree, showcasing a consistent income pattern irrespective of employment status.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Cherry Tree median household income by race. You can refer the same here

Record stores have faced challenges because of shifting consumer preferences and increased competition from large discount stores and online services. The convenience and extensive selections offered by online channels like Spotify and Apple Music have made it challenging for traditional stores to keep up. Large discount stores have also used purchasing power to capture market share by offering a broader selection of physical media at discounted prices, further pressuring record store profit. As a result, record store revenue has declined at a CAGR of 5.5% over the past five years. Many stores have pivoted to offer unique experiences and products to compete with digital content. The resurgence of vinyl records, mainly driven by younger consumers, indicates that nostalgia and tangible items still hold value in a predominantly digital world. Recovering from the pandemic, consumers also have more disposable income to spend on discretionary items. Revenue is expected to total $1.2 billion and climb an estimated 3.6% in 2024. The industry will continue to drop. However, renewed interest in vinyl records may support record store presence. This trend will continue over the next five years and likely boost industry revenue. Record stores will widen product ranges to offer specialized items from specific genres and eras to cater to a niche audience. These stores will also provide higher-margin items like electronics and concert tickets to counter the thin profit from traditional records. While the digital shift shows no signs of slowing down, record shops will adopt innovative strategies to stay relevant and align with emerging trends. Industry revenue is forecast to recover at a CAGR of 0.9% to total $1.3 billion over the five years to 2029.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Birch Tree. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Birch Tree, the median income for all workers aged 15 years and older, regardless of work hours, was $17,619 for males and $13,511 for females.

These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 23% between the median incomes of males and females in Birch Tree. With women, regardless of work hours, earning 77 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Birch Tree.

Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Birch Tree, showcasing a consistent income pattern irrespective of employment status.

https://i.neilsberg.com/ch/birch-tree-mo-income-by-gender.jpeg" alt="Birch Tree, MO gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Birch Tree median household income by gender. You can refer the same here

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Marked Tree. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Marked Tree, the median income for all workers aged 15 years and older, regardless of work hours, was $29,552 for males and $18,144 for females.

These income figures highlight a substantial gender-based income gap in Marked Tree. Women, regardless of work hours, earn 61 cents for each dollar earned by men. This significant gender pay gap, approximately 39%, underscores concerning gender-based income inequality in the city of Marked Tree.

Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Marked Tree.

https://i.neilsberg.com/ch/marked-tree-ar-income-by-gender.jpeg" alt="Marked Tree, AR gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

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.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

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 Marked Tree median household income by gender. You can refer the same here

Dollarama Inc. is a Canadian owned retail chain headquartered in Montreal. There were 1,616 Dollarama stores in Canada as of February 2, 2025. Ontario had the highest number of stores, with 630, whereas Yukon and the Northwest Territories had just one each. The dollar store market in Canada Dollar stores are retail outlets that offer a wide variety of relatively low-priced items, usually at a single-price point of one dollar. Dollarama was the leading discount store in Canada based on number of locations in 2024; the company had more than three times as many stores as second-placed Walmart. In 2025 Dollarama's revenues amounted to just over 6.4 billion Canadian dollars. The global discounter market Based on revenue, Walmart is the leading discount store company worldwide. Their revenue towers over their competitors, reaching approximately 681 billion U.S. dollars in 2025. Costco Wholesale was ranked in second place with a revenue of around 264 billion U.S. dollars in the same year.

Convenience stores in the Philippines generated total sales of about *** billion U.S. dollars in 2023, indicating an increase of about ** percent from the previous year. The revenue of convenience stores was forecast to continue expanding in the following year. International chain convenience stores’ dominance in the Philippines  7-Eleven emerged as the most profitable convenience store in the Philippines in 2023, with total retail sales amounting to nearly **** billion U.S. dollars. It also had the highest number of stores in the same year, ***** as many as its nearest competitor, Alfamart. 7-Eleven is the largest convenience store chain across the globe, with most of its stores located in Japan as of January 2020. Meanwhile, Indonesian convenience store chain Alfamart opened its first store in 2014 and has since expanded to over ***** locations nationwide in 2023. The rise of the online grocery market  Fueled by limited physical movement during the pandemic, retail outlets in the Philippines started offering online grocery delivery to their customers. In fact, between 2019 and 2021, e-commerce sales of food and beverages in the Philippines rose by about *** percent as grocery stores started partnering with third-party providers to take care of delivery. The online grocery market in the Philippines is estimated to continue growing in the upcoming years.