women owned business data

Prompt
women owned business data
ChatGPTOpenAI
women owned business data

Error calling OpenAI API.

13:33
DeepSeekDeepSeek
women owned business data

Of course. Here is a comprehensive overview of women-owned business data, covering key statistics, trends, challenges, and sources for further research.

Key Statistics and Highlights (Primarily U.S. Data)

Women-owned businesses are a powerful and growing segment of the global economy. Here are some of the most compelling figures:

Growth and Scale:

  • She-cession Recovery: Women started 49% of all new businesses in the post-pandemic period (2020-2023), a significant rebound from the "she-cession" where women disproportionately lost jobs.

  • She-Economy: As of 2024, women own ~14 million businesses in the U.S., employing over 12 million workers and generating $2.7 trillion in revenue.

  • Rapid Growth: The number of women-owned businesses grew at a rate nearly twice that of all businesses over the past several years.


Diversity and Inclusion:
  • Majority-Minority: Women of color are starting businesses at an even faster rate. They now account for 50% of all women-owned businesses.

  • Breakdown:

  • Black women own ~14% of all women-owned firms.

  • Latina women own ~18% of all women-owned firms.

  • Asian American women own ~10% of all women-owned firms.


Employment and Revenue:
  • While the number of firms is high, there's a disparity in scale. The average women-owned business employs 0.9 people (including the owner) and generates ~$230,000 in annual revenue, compared to the average for all businesses which is higher.

  • Only about 3% of women-owned businesses break the $1 million revenue mark, highlighting a challenge in scaling.


Global Context:
  • Globally, it's estimated that one-third of all small and medium enterprises (SMEs) are owned by women.

  • The rate of women's entrepreneurship is particularly high in emerging economies, often driven by necessity.



Major Trends in 2024


  • Digital-First and E-commerce: Women are leveraging online platforms to start businesses with lower overhead, reaching global markets from the start. Sectors like digital marketing, SaaS, and online retail are booming.

  • Focus on Social Impact: Women-owned businesses are more likely to prioritize social responsibility, sustainability, and community impact as core to their mission.

  • The Rise of "Mompreneurs": The shift to remote and flexible work has enabled more mothers to launch businesses that allow them to balance family and career.

  • Increased Access to Capital: While still a challenge, there are now more funding options than ever, including women-focused venture capital firms, crowdfunding, and grant programs.



Persistent Challenges

Despite the growth, women entrepreneurs face unique hurdles:

  • Access to Capital: This is the single biggest challenge. In 2023, female founders received only about 2% of all venture capital funding. They also often face higher interest rates on loans and are required to provide more collateral.

  • The Network Gap: Access to influential networks, mentors, and sponsors (often called the "old boys' club") remains a significant barrier to growth and investment.

  • Lack of Representation: Fewer women in high-level investment and C-suite roles can perpetuate unconscious bias in funding decisions and business support.

  • Balancing Act: Societal expectations around caregiving and domestic responsibilities can place an unequal burden on women entrepreneurs, limiting the time they can dedicate to scaling their businesses.



Where to Find More Data

If you are conducting research, here are the most reliable sources for data on women-owned businesses:

United States:

  • U.S. Census Bureau: The Survey of Business Owners (SBO) is the gold standard, providing detailed demographic and economic data. It's conducted every five years.

  • National Association of Women Business Owners (NAWBO): A leading advocacy organization that often publishes reports and surveys.

  • American Express "State of Women-Owned Businesses" Report: An annual report that is one of the most cited sources for trends and statistics.

  • Small Business Administration (SBA) Office of Women’s Business Ownership: Provides resources, and data, and oversees Women’s Business Centers (WBCs) across the country.

  • Crunchbase: Tracks venture capital funding and provides data on the gender gap in startup financing.


Global:
  • Global Entrepreneurship Monitor (GEM): Publishes an annual report that includes data on women's entrepreneurship rates, motivations, and challenges across dozens of countries.

  • World Bank Group's Women, Business and the Law: Focuses on the legal barriers facing women, including entrepreneurship.

  • Dell Women’s Entrepreneur Cities (WE Cities) Index: Ranks cities globally on their ability to attract and support high-potential women entrepreneurs.


Summary

The data paints a clear picture: women-owned businesses are a dynamic and essential engine of economic growth, job creation, and innovation. Their growth rate is impressive, and their impact is profound, especially within communities of color. However, systemic barriers, particularly in access to capital and networks, continue to limit their potential scale. Addressing these challenges is key to unlocking the full economic power of women entrepreneurs.

13:33
GeminiGoogle
women owned business data

Okay, I can help you find data related to women-owned businesses. To give you the most useful information, I need to know what you're looking for. Please tell me about the following:

1. What is the specific focus of your data search?

  • General Statistics? (e.g., number of women-owned businesses, revenue generated, industry sectors)

  • Demographics? (e.g., race/ethnicity of owners, age of owners, education levels)

  • Economic Impact? (e.g., job creation, contribution to GDP)

  • Financial Performance? (e.g., access to capital, loan rates, profitability)

  • Specific Industry? (e.g., women-owned tech startups, women-owned restaurants)

  • Geographic Location? (e.g., national, state, city, rural vs. urban)

  • Trends Over Time? (e.g., growth rate of women-owned businesses over the past decade)

  • Challenges and Opportunities? (e.g., barriers to entry, access to mentorship, work-life balance)

  • Something else? Be as specific as possible.


2. What level of detail do you need?
  • Summary Data? (e.g., a few key statistics)

  • Detailed Reports? (e.g., comprehensive studies with extensive data tables)

  • Raw Data? (e.g., datasets that you can analyze yourself)


3. What is your intended use for the data?
  • Research?

  • Business Planning?

  • Advocacy?

  • Policy Development?

  • General Knowledge?


4. What is your preferred data format?
  • Tables?

  • Graphs/Charts?

  • Spreadsheet (CSV, Excel)?

  • PDF Report?

  • API Access?


5. What is your timeframe?
  • Most recent data available?

  • Data from a specific year or period?


Once I have this information, I can provide you with more specific and relevant resources. In the meantime, here are some potential starting points:

Key Data Sources:

  • U.S. Census Bureau:

  • Annual Business Survey (ABS): Includes data on business ownership by gender, race, and ethnicity. This is a primary source for detailed information.

  • Survey of Business Owners (SBO): While the SBO is not conducted annually anymore, older data is still valuable for historical comparisons.

  • American Community Survey (ACS): Provides demographic data that can be used to analyze characteristics of women business owners.

  • U.S. Small Business Administration (SBA):

  • Office of Advocacy: Publishes reports and statistics on small businesses, including women-owned businesses.

  • SBA Lending Data: Provides information on SBA loans to women-owned businesses.

  • National Association of Women Business Owners (NAWBO):

  • May have member surveys and reports on issues facing women business owners.

  • SCORE:

  • A non-profit organization that provides mentorship and resources to small businesses. They may have data on their clients, including women-owned businesses.

  • Financial Institutions:

  • Some banks and lenders that focus on small business lending may publish data on their lending to women-owned businesses.

  • Research Organizations & Think Tanks:

  • Organizations like the Center for American Progress, the Peterson Institute for International Economics, and university-based research centers may conduct studies on women's entrepreneurship.

  • Dun & Bradstreet:

  • A commercial data provider that may have information on women-owned businesses. (Usually requires a subscription.)

  • Crunchbase/Pitchbook:

  • Useful for data on women-founded startups and venture capital funding. (Usually requires a subscription.)


Example Search Terms:
  • "Women-owned business statistics"

  • "Women entrepreneurship data"

  • "Number of women-owned businesses by state"

  • "Revenue of women-owned businesses"

  • "Access to capital for women-owned businesses"

  • "Challenges facing women entrepreneurs"


Important Considerations:
  • Data Definitions: Be aware of how "women-owned" is defined in each dataset (e.g., majority ownership, control).

  • Data Collection Methods: Understand the methodology used to collect the data (e.g., survey, administrative records).

  • Data Limitations: Recognize any limitations of the data, such as sample size, response rates, or potential biases.

  • Data Updates: Check the date of the data to ensure it is current.


I look forward to helping you find the data you need once you provide more details about your specific requirements.

13:33

Analysis

This comparison demonstrates the different approaches each AI model takes when responding to the same prompt. Here are the key differences observed:

Response Characteristics

ChatGPT: Provides a concise response with 1 sentences.

DeepSeek: Provides a direct response with 56 sentences.

Gemini: Provides a direct response with 89 sentences.

Key Takeaways

  • Each model brings unique strengths to this type of query
  • Response styles vary significantly between models
  • Consider your specific use case when choosing between these models

Try This Comparison Yourself

Want to test these models with your own prompts? Visit SNEOS.com to compare AI responses side-by-side in real-time.


This comparison was generated using the SNEOS AI Comparison ToolPublished: October 02, 2025 | Models: ChatGPT, DeepSeek, Gemini