It also outlines why survival varies by sector and region, and offers practical, evidence based actions owners can take in the first five years to reduce the risk of early exit.
small business local economy: definition and national context
What we mean by “small business” and “survival”
The term small business local economy refers here to new employer firms that hire at least one paid employee and operate in community markets. In U.S. statistical series the phrase small employer firm is used to distinguish such businesses from sole proprietors and nonemployer firms that have no paid employees.
Official agencies draw that distinction because workforce status and payroll reporting create coherent panels for tracking survival over time, and that approach is used in both SBA summaries and BLS tracking.
How official series measure firm age and survival
Survival in these series is defined as continued operation as an employer business in a follow up year, which usually means an active payroll or tax reporting presence in administrative records. BLS and Census programs construct cohort life tables to report the share of firms still operating at each anniversary.
These measurements come with limits: there are reporting lags, periodic panel updates, and smaller sample sizes for fine-grained sector or local estimates, so national averages may precede the most recent economic shifts in particular regions.
small business local economy: key national survival statistics
Headline national averages for years 1, 5 and 10
National multi year averages show that most new employer firms remain open past the first year, but fewer make it to the five and ten year marks. Roughly eight in ten survive the first year, about half survive to year five, and roughly one third reach year ten according to summary series used by federal agencies.
BLS Business Employment Dynamics and BLS news release
Stay informed and get involved with the campaign
For readers who want the primary releases, check the linked agency pages and recent cohort tables to compare national and sector splits.
What those averages mean for a typical new employer firm
Those headline numbers are cohort averages and are not predictions for any single firm. They illustrate population patterns: the first five years are the highest risk window and that concentration informs where owners and local policymakers often focus support. (see michaelcarbonara.com)
Why survival varies: industry and regional differences in the local economy
Industries with higher and lower multi-year survival
Survival rates differ substantially by sector. Historically, cohorts in construction and retail report lower multi year survival, while health care and professional services cohorts tend to post higher medium term survival in the available datasets and firm surveys.
Census Business Dynamics Statistics
National series show that about 80 percent of new employer firms survive the first year, around 50 percent survive to year five, and approximately one third reach year ten; variation by industry and region is substantial, and the first five years are the highest risk period for exits.
Role of local economic diversity and metropolitan context
Regional context matters. Firms in metropolitan areas with diverse demand and stronger labor markets tend to have better average longevity than those in single industry or economically thin regions, a pattern seen in cross regional analyses.
OECD business demography and indicators
What owners can do: a practical framework to extend firm lifespan
Core pillars: cash runway, revenue diversification, planning
Owners who seek higher odds of medium term survival often focus on a small set of practices supported in the literature: maintain several months of cash runway, diversify revenue channels, track finances rigorously, and seek external advice or mentorship when possible.
Systematic review on determinants of small business survival
Where to prioritize effort in years 1-5
The first five years concentrate most exits, so early actions that extend cash runway and build customer diversity tend to have the largest association with longer lifespan in longitudinal studies.
Kauffman Foundation entrepreneurship research
How to assess risk: decision criteria for founders and supporters
Checklist of measurable criteria
A short checklist can help flag risk: initial employment size, months of cash runway measured against fixed costs, customer concentration, debt service relative to cash flow, and presence of a formal business plan are measurable criteria linked to survival literature.
Systematic review on determinants of small business survival
When to seek external help or change course
Consider external advice when runway falls to a few months, when a single client accounts for a large share of revenue, or when operating metrics repeatedly miss targets. Local economic indicators and industry cohort outcomes should inform whether a pivot or consolidation is warranted. You can also use the contact page to request guidance.
Census Business Dynamics Statistics
Common mistakes and pitfalls that shorten business lifespan
Frequent early missteps
Typical early mistakes include insufficient cash runway, overreliance on a single customer or channel, and delaying formal planning. These errors are commonly associated with earlier exits in the empirical reviews.
Systematic review on determinants of small business survival
Financial management and planning errors
Delayed or informal financial tracking can obscure warning signs. Owners who set up basic budgeting, regular cash projections, and quick margin checks tend to identify problems sooner and have more options than those who do not.
Kauffman Foundation entrepreneurship research
Practical examples and scenarios for local economies
Short hypothetical scenarios by sector
Scenario A, retail in a single industry town: a storefront opened with one part time employee and narrow product lines may face demand swings and high fixed costs that raise the risk of exit within five years unless cash runway or online channels are added.
Census Business Dynamics Statistics
How regional context changes the advice
Scenario B, health care practice in a metropolitan area: a practice that begins with several providers, steady referral relationships, and billing systems tends to benefit from demand diversity and may show stronger survival odds, all else equal.
Kauffman Foundation entrepreneurship research
Conclusion: what the evidence says for local economies and next steps
Key takeaways
In short, national averages indicate that most new employer firms survive the first year, many close in years two to five, and a smaller share reach year ten. The five year window is the most important risk period for local economies and small employers.
Quick checklist of primary data sources and tools to consult for small business survival analysis
Check the official cohort tables
Where to find original data and further reading
Primary sources for readers who want the underlying tables include the BLS Business Employment Dynamics pages, the SBA Office of Advocacy summaries, Census Business Dynamics Statistics, Kauffman research on firm cohorts, and systematic literature reviews on survival factors. Also consult the BLS economics daily summary for related releases: BLS economics daily. (see news)
BLS Business Employment Dynamics
Survival in official series means continued operation as an employer business in a follow up year, typically indicated by payroll or tax reporting in administrative records.
No. National averages describe cohort patterns and do not predict an individual firm's future; outcomes vary by industry, region, and firm choices.
Literature highlights maintaining several months of cash runway, diversifying revenue, structured financial tracking, and seeking external advice or mentorship as actions tied to higher survival odds.
The article aims to inform voters and local residents without offering guarantees or predictions for individual firms.
References
- https://advocacy.sba.gov/2022/05/01/frequently-asked-questions-about-small-business/
- https://www.bls.gov/bdm/
- https://www.bls.gov/news.release/cewbd.nr0.htm
- https://www.bls.gov/bdm/bdmage.htm
- https://www.census.gov/programs-surveys/bds.html
- https://www.oecd.org/industry/business-statistics-and-analysis.htm
- https://michaelcarbonara.com/contact/
- https://link.springer.com/article/10.1007/s11187-020-00314-6
- https://www.kauffman.org/who-we-are/our-research/
- https://michaelcarbonara.com/
- https://www.bls.gov/opub/ted/business-employment-dynamics.htm
- https://michaelcarbonara.com/news/
