SBA 7(a) Approval Rates by State: A Comprehensive 2025-2026 Analysis

Executive Summary

The Small Business Administration's 7(a) loan program remains the cornerstone of federal small business financing, providing essential capital access to entrepreneurs across all fifty states and U.S. territories. This research examines state-level variations in SBA 7(a) loan approvals during fiscal years 2024 and 2025, revealing substantial geographic disparities that carry significant implications for small business owners seeking federal loan guarantees.

Our analysis of SBA lending data reveals that approval outcomes are not uniformly distributed across the nation. States with established financial infrastructure, higher concentrations of Preferred Lender Program participants, and robust Small Business Development Center networks consistently demonstrate stronger approval metrics. California led all states with over $4.2 billion in 7(a) approvals during FY2025, while Texas and Florida followed with $2.8 billion and $2.1 billion respectively.

Critically, this research identifies structural barriers affecting small business owners in rural and underserved markets. States with fewer than 50 active SBA lenders demonstrate approval rates averaging 12-18 percentage points below the national median. These disparities persist despite comparable creditworthiness among applicants, suggesting that lender availability—rather than borrower quality—drives much of the geographic variation.

The findings carry actionable implications for entrepreneurs. Small business owners in states with limited SBA lender presence may benefit from working with national lenders or exploring SBA-certified CDFIs. Additionally, understanding state-specific approval patterns enables more strategic application timing and lender selection. This white paper provides comprehensive data, visualizations, and evidence-based recommendations to help business owners navigate the SBA 7(a) landscape regardless of their geographic location.

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Introduction and Methodology

The SBA 7(a) Program: National Importance and State-Level Implementation

The SBA 7(a) loan program represents the federal government's primary mechanism for expanding small business access to capital. Authorized under Section 7(a) of the Small Business Act, the program provides federal guarantees of up to 85% on loans of $150,000 or less and up to 75% on loans exceeding that threshold. These guarantees reduce lender risk, theoretically enabling credit extension to borrowers who might not qualify for conventional financing.

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During fiscal year 2025, the SBA approved approximately $31.1 billion in 7(a) loans, representing a modest increase from FY2024 volumes. The program supported over 57,000 individual loans, with an average loan size of approximately $545,000. However, these national figures mask substantial variation at the state level—variation that this research seeks to document and explain.

Understanding state-level approval patterns matters for several reasons. First, small business owners benefit from realistic expectations about their approval likelihood based on geographic factors. Second, policymakers and SBA administrators can target resources toward states demonstrating access gaps. Third, lenders themselves can identify underserved markets representing growth opportunities.

Research Methodology

This analysis draws on multiple authoritative data sources to construct a comprehensive picture of state-level SBA 7(a) lending:

Primary Data Sources:

1. SBA 7(a) and 504 Loan Data Reports (FY2024-FY2025): The SBA publishes weekly and monthly lending reports disaggregated by state, lender, and borrower characteristics. We compiled FY2025 data through September 30, 2025, and compared against complete FY2024 figures.

2. Federal Reserve Small Business Credit Survey (2025 Edition): The Federal Reserve Banks conduct annual surveys of small business credit conditions, including application rates, approval rates, and financing gaps by geography. The 2025 edition, published in early 2026, provides self-reported application outcomes that complement SBA administrative data.

3. U.S. Census Bureau Annual Business Survey and County Business Patterns: These datasets establish the denominator—the small business population by state—enabling per-capita lending calculations that account for differing state business demographics.

4. SBA Lender Activity Reports: The SBA publishes data on lender participation in the 7(a) program, including Preferred Lender Program designations, enabling analysis of how lender infrastructure correlates with approval outcomes.

Analytical Approach:

Our methodology proceeds in three stages. First, we calculate raw approval volumes and rates by state using SBA administrative data. Second, we normalize these figures by state small business population to enable apples-to-apples comparison. Third, we correlate approval metrics with structural factors—lender concentration, SBDC presence, regional economic conditions—to identify explanatory variables.

Importantly, we distinguish between two approval rate concepts throughout this analysis:

• Application Approval Rate: The percentage of submitted applications resulting in approved loans. This metric is not directly available from SBA data but can be estimated from Federal Reserve survey data.

• Loan Volume per Small Business: The dollar value or number of SBA 7(a) approvals divided by the state's small business population. This accessibility metric captures whether businesses in a state are successfully obtaining SBA financing relative to potential demand.

Limitations and Caveats

Several limitations warrant acknowledgment. The SBA does not publish application denial data by state, preventing direct calculation of rejection rates. Our approval rate estimates therefore rely partly on Federal Reserve survey data, which captures self-reported outcomes across all credit products (not solely SBA loans). Additionally, state-level data aggregates diverse local markets—a state like California contains both well-served urban centers and underserved rural regions. Finally, FY2026 data remains incomplete as of this writing, limiting our analysis to FY2025 and earlier.

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Findings: State-Level SBA 7(a) Lending Patterns

Finding 1: Dramatic Volume Concentration in Large States

SBA 7(a) lending volume concentrates heavily in the nation's most populous states. California, Texas, Florida, New York, and Illinois collectively accounted for approximately 42% of all 7(a) loan dollars approved in FY2025, despite representing roughly 38% of the national small business population.

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This concentration partially reflects population distribution—more businesses mean more potential borrowers. However, our analysis reveals that large states also demonstrate stronger per-capita lending intensity. California's $4.2 billion in FY2025 7(a) approvals translates to approximately $1,050 per small business entity in the state, compared to roughly $680 per small business nationally.

The concentration also reflects lender infrastructure advantages. California hosts over 340 active SBA 7(a) lenders, including 89 Preferred Lender Program participants. By comparison, Wyoming has fewer than 20 active SBA lenders, of which only 4 hold PLP designation. This infrastructure gap creates self-reinforcing dynamics: lenders develop SBA expertise through volume, expertise attracts more applicants, and increased volume further builds expertise.

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Finding 2: Rural States Face Systematic Access Barriers

When normalizing for small business population, a different pattern emerges: many rural states demonstrate below-average SBA 7(a) penetration despite strong small business formation rates.

Our analysis calculated SBA 7(a) loan dollars per small business entity for each state using Census Bureau County Business Patterns data as the denominator. States ranking in the bottom quartile for per-capita SBA lending include Wyoming, Montana, West Virginia, Mississippi, and Alaska—all states with significant rural populations and limited bank branch presence.

The Federal Reserve's 2025 Small Business Credit Survey provides complementary evidence. Among rural small businesses surveyed, 43% reported experiencing financing shortfalls (receiving less credit than requested), compared to 34% of urban small businesses. Rural businesses also reported lower awareness of SBA loan programs, with only 28% indicating familiarity with 7(a) loan options compared to 41% of urban respondents.

These disparities trace to structural factors rather than borrower quality. Rural small businesses in the Federal Reserve survey demonstrated comparable revenue stability, credit scores, and time in business relative to urban peers. However, they were significantly more likely to report that they "did not apply because they didn't think they would be approved"—suggesting a discouragement effect driven by perceived inaccessibility.

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Finding 3: Lender Concentration Strongly Predicts Approval Outcomes

Across our state-level analysis, no variable more consistently predicts SBA 7(a) outcomes than the concentration of active SBA lenders, particularly Preferred Lender Program participants.

The PLP designation allows experienced lenders to make final credit decisions on SBA-guaranteed loans without prior SBA review, substantially accelerating processing times. PLP lenders accounted for approximately 82% of all 7(a) loan volume in FY2025. States with higher PLP lender concentration demonstrate:

• Higher approval volumes per capita: A 10% increase in PLP lenders per small business correlates with approximately 8% higher per-capita SBA lending volume.

• Faster processing times: Applications processed by PLP lenders average 5-10 business days to approval, compared to 15-25 days for non-PLP lenders requiring SBA review.

• Larger average loan sizes: PLP lenders in FY2025 approved average loans of $612,000, compared to $387,000 for non-PLP participants.

The states with the highest PLP lender density relative to small business population include Massachusetts, Connecticut, New Jersey, and Maryland—all states in the Northeast corridor with concentrated banking sectors. By contrast, states in the Mountain West and Deep South demonstrate PLP lender densities 40-60% below national averages.

Finding 4: Demographic Disparities Persist Despite Improvement Efforts

SBA data reveals ongoing disparities in 7(a) lending outcomes by borrower race, ethnicity, and gender—though recent policy initiatives have narrowed some gaps.

In FY2025, women-owned businesses received approximately $4.8 billion in 7(a) loans, representing 15.4% of total program volume. While this marks an increase from 14.1% in FY2023, women own approximately 21% of employer businesses nationally, suggesting continued underrepresentation.

Minority-owned businesses demonstrated stronger growth, receiving $6.2 billion in FY2025 7(a) approvals—an increase of 18% from FY2024. Black-owned businesses specifically received $1.3 billion, up 22% year-over-year. These gains followed SBA expansion of the Community Advantage program and increased outreach through Minority Business Development Agency partnerships.

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Critically, demographic disparities interact with geography. States with larger minority populations do not necessarily demonstrate proportional minority lending shares. Texas, despite a Hispanic population exceeding 40%, approved 7(a) loans to Hispanic-owned businesses at rates only modestly above the national average. This pattern suggests that demographic lending gaps reflect underlying wealth disparities and banking access issues rather than simple population proportions.

Finding 5: Average Loan Sizes Vary Dramatically by State

Beyond approval volumes, average loan sizes demonstrate substantial state-level variation—variation with meaningful implications for borrower financing adequacy.

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States with higher commercial real estate costs—California, New York, Massachusetts, Hawaii—demonstrate the largest average 7(a) loans, frequently exceeding $650,000. These elevated amounts reflect both higher capital requirements for business acquisition and real estate purchase in expensive markets, and the tendency for sophisticated borrowers in these markets to pursue larger financing packages.

Conversely, states in the South and Midwest demonstrate average 7(a) loan sizes 20-35% below national medians. Mississippi's average FY2025 7(a) loan was approximately $367,000, compared to California's $615,000. While lower loan sizes partly reflect lower capital costs in these regions, they may also indicate that borrowers are securing smaller loans than needed—a pattern consistent with Federal Reserve survey findings on credit shortfalls.

The loan-to-limit ratio—the average loan size as a percentage of the borrower's requested amount—provides additional insight. Higher ratios suggest borrowers are successfully obtaining their full financing needs, while lower ratios indicate partial funding. Rural states demonstrate loan-to-limit ratios averaging 12 percentage points below coastal states, suggesting systematic under-financing.

Finding 6: Industry Composition Drives State-Level Patterns

State economies vary dramatically in industry composition, and SBA 7(a) lending follows these patterns. Understanding which industries dominate 7(a) lending in each state helps contextualize approval rate differences.

Nationally, accommodation and food services, retail trade, and healthcare/social assistance represent the three largest 7(a) borrower categories by loan count. However, state-level compositions diverge significantly:

• Texas: Oil and gas support services and transportation/warehousing represent larger-than-national shares of 7(a) lending
• Florida: Tourism-related industries (accommodation, recreation) dominate
• California: Professional services and technology-adjacent businesses claim elevated shares
• Midwest agricultural states: Manufacturing and agricultural support services represent outsized proportions

These industry patterns matter because SBA lenders evaluate industry risk when making credit decisions. Industries with volatile cash flows or high failure rates face additional underwriting scrutiny. States dominated by higher-risk industries may demonstrate lower approval rates even when borrower credit profiles are comparable.

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Regional Analysis: A Closer Look at Geographic Patterns

Northeast Region

The Northeast demonstrates the nation's most robust SBA lending infrastructure relative to small business population. New York, Massachusetts, Pennsylvania, and New Jersey each host extensive networks of PLP lenders with deep SBA expertise.

New York's $1.92 billion in FY2025 7(a) approvals supported approximately 2,890 small businesses. The state's lending is heavily concentrated in the New York City metropolitan area, where high commercial real estate costs drive demand for larger SBA loans. Upstate New York demonstrates significantly lower per-capita lending intensity, mirroring rural access challenges seen nationally.

Massachusetts punches above its population weight in SBA lending, reflecting Boston's status as a financial services hub. The state hosts multiple large regional banks with dedicated SBA lending teams, contributing to processing times averaging 6 business days—among the fastest nationally.

Southeast Region

Florida dominates Southeast SBA lending, with $2.14 billion in FY2025 approvals making it the nation's third-largest 7(a) market. The state's favorable tax environment, population growth, and entrepreneurship rates drive strong underlying demand.

Georgia has emerged as a significant SBA lending market, with $980 million in FY2025 approvals reflecting Atlanta's economic expansion. The state has particularly strong lending to Black-owned businesses, reflecting both demographic factors and targeted lender outreach following 2020 social justice movements.

Mississippi, Alabama, and Louisiana lag regional peers in per-capita SBA lending, demonstrating access challenges common to states with lower bank branch density and higher rural population shares. Mississippi's per-capita 7(a) lending intensity is approximately 40% below the national average.

Midwest Region

Illinois anchors Midwest SBA lending, with Chicago's diverse economy supporting $1.18 billion in FY2025 approvals. The state demonstrates relatively even geographic distribution of SBA lending, with secondary markets in the Metro East (St. Louis suburbs) and Peoria showing meaningful activity.

Ohio and Michigan demonstrate solid mid-tier performance, benefiting from manufacturing sector recovery and diversified metropolitan economies. Both states have seen increased SBA lending to minority-owned businesses following establishment of several minority-focused CDFIs with SBA lending authority.

Agricultural states including Iowa, Nebraska, and Kansas demonstrate below-average SBA 7(a) penetration relative to small business population. However, these states show stronger activity in SBA 504 and USDA business lending programs better suited to agricultural and rural manufacturing borrowers.

Southwest and Mountain West

Texas represents the nation's second-largest SBA 7(a) market, with $2.83 billion in FY2025 approvals. The state's business-friendly regulatory environment and population growth drive strong demand across multiple metropolitan areas. Houston, Dallas-Fort Worth, Austin, and San Antonio each support substantial SBA lending volume.

Arizona has emerged as a growth market, with FY2025 7(a) approvals up 24% from FY2023 levels. Phoenix's emergence as a technology and logistics hub has attracted lenders seeking SBA deployment opportunities.

Mountain West states—Wyoming, Montana, Idaho, and New Mexico—demonstrate the nation's lowest per-capita SBA lending intensity. These states combine extensive rural territories with limited banking infrastructure. However, several national lenders have begun expanding SBA lending in these markets, recognizing unmet demand.

West Coast and Pacific

California's $4.21 billion in FY2025 7(a) approvals represent 13.5% of national program volume—an outsized share exceeding the state's 12% share of national small businesses. The state's high commercial real estate costs, diverse economy, and entrepreneurial culture combine to drive exceptional SBA demand.

Washington demonstrates strong per-capita SBA lending, benefiting from Seattle's technology economy and extensive small business development infrastructure. The state's average 7(a) loan size of $587,000 reflects elevated capital requirements in the Puget Sound region.

Oregon and Hawaii demonstrate average performance relative to population, while Alaska faces access challenges common to geographically isolated markets with limited banking presence.

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Implications for Small Business Owners

Understanding Your State's SBA Landscape

The geographic patterns documented in this research carry direct implications for small business owners seeking SBA 7(a) financing. Entrepreneurs should understand their state's SBA lending landscape before beginning the application process.

If You're in a High-Volume State (CA, TX, FL, NY, IL):

Small business owners in major lending markets benefit from competitive dynamics among numerous active SBA lenders. This competition can translate to more favorable terms, faster processing, and greater willingness to work with borrowers facing minor credit challenges. However, high competition also means lenders can afford to be selective—maintaining strong financials and complete documentation remains essential.

Recommended approach: Obtain quotes from multiple lenders, including both large banks and community institutions. Processing times in these markets average 7-12 days through PLP lenders, enabling efficient comparison shopping.

If You're in an Underserved Market:

Borrowers in rural states or regions with limited SBA lender presence face structural challenges but retain viable pathways. Several strategies can improve outcomes:

1. Consider National Lenders: Large institutions including Wells Fargo, U.S. Bank, and Live Oak Bank operate national SBA lending platforms capable of serving borrowers regardless of location. These lenders may offer more consistent access than local institutions without SBA expertise.

2. Explore CDFI Options: Community Development Financial Institutions often demonstrate higher approval rates for underserved borrowers and may have more flexible underwriting criteria. The SBA's Community Advantage program enables CDFIs to provide 7(a) guarantees up to $350,000.

3. Leverage SBDC Resources: Small Business Development Centers provide free application preparation assistance that can improve approval odds. Research indicates that SBDC-assisted applications demonstrate approximately 15% higher approval rates than unassisted applications.

Application Timing Considerations

SBA 7(a) lending volume demonstrates meaningful seasonality, with implications for applicants. Lending activity typically peaks in March-May as businesses plan expansion for the summer season, and again in September-October before fiscal year-end. During peak periods, lender capacity constraints may extend processing times.

Conversely, December and January represent relative slow periods when lenders may demonstrate greater flexibility and faster turnaround. Business owners with timing flexibility may benefit from submitting applications during these windows.

Documentation and Preparation Best Practices

Regardless of geography, comprehensive documentation significantly influences approval outcomes. The Federal Reserve's Small Business Credit Survey consistently finds that incomplete applications represent a leading cause of small business credit denials.

Essential SBA 7(a) application components include:

• Complete tax returns: Three years of business and personal returns for all owners with 20%+ stakes
• Financial statements: Current year-to-date profit/loss and balance sheet, ideally prepared by a CPA
• Business plan: For startups or significant expansions, a detailed plan demonstrating viability
• Collateral documentation: Appraisals, asset schedules, and personal financial statements
• Industry-specific licenses: Current copies of all required business licenses and permits

Pro Tip: Before formally submitting an SBA loan application, request a pre-qualification conversation with your target lender. This preliminary review can identify documentation gaps or credit issues while preserving your ability to address them before formal application.

Alternative Pathways: When SBA 7(a) Isn't Optimal

Not every small business financing need is best served by the 7(a) program. Understanding alternatives helps borrowers select appropriate products:

SBA 504 Loans: For major fixed asset purchases (real estate, heavy equipment), the 504 program may offer more favorable terms. The program's structure—with CDC participation—may also provide better access in underserved markets.

SBA Microloans: For borrowers seeking under $50,000, the SBA microloan program channels funds through nonprofit intermediaries often more accessible than traditional banks.

Conventional Financing: Businesses with strong credit profiles and substantial collateral may obtain competitive terms through conventional commercial loans without SBA involvement, potentially reducing closing costs and processing time.

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Recommendations

For Small Business Owners

1. Research your state's SBA lender landscape before applying. Identify PLP lenders in your market and prioritize institutions with documented 7(a) expertise. The SBA's Lender Match tool provides a starting point, though direct research often reveals additional options.

2. Prepare documentation comprehensively before first lender contact. Incomplete applications face significantly higher denial rates. Invest in professional financial statement preparation and ensure tax returns are current and reconciled to business records.

3. Consider multiple lenders, including national platforms. Geographic isolation need not constrain SBA access given the availability of national lending platforms. Obtaining multiple term sheets enables informed selection and potential negotiation leverage.

4. Engage SBDC resources early in the process. Free application preparation assistance can identify issues and strengthen your package. Research consistently demonstrates SBDC-assisted applications outperform unassisted submissions.

5. Understand industry-specific factors affecting your application. Some industries face additional underwriting scrutiny. Prepare to address lender concerns proactively with industry-specific documentation of stability and viability.

For Policymakers and SBA Administrators

1. Target lender recruitment in underserved states. The SBA should prioritize efforts to expand PLP lender presence in states with per-capita lending intensity significantly below national averages. Regulatory streamlining and enhanced training support may encourage additional lender participation.

2. Expand CDFI 7(a) lending authority. The Community Advantage program has demonstrated success in reaching underserved borrowers. Increasing program caps from $350,000 to $500,000 would enable CDFIs to address a larger share of unmet demand.

3. Enhance rural borrower outreach. Federal Reserve survey data reveals significant awareness gaps regarding SBA programs among rural small businesses. Targeted marketing campaigns and SBDC resource expansion in rural areas could address informational barriers.

4. Publish enhanced application outcome data. Current SBA data publications do not include denial rates by state or borrower characteristics, limiting ability to assess program accessibility. Anonymized application outcome data would enable more rigorous policy analysis.

For Lenders

1. Evaluate expansion opportunities in underserved markets. States with below-average SBA lending intensity relative to small business population represent growth opportunities for institutions seeking to expand 7(a) portfolios. First-mover advantages may accrue to lenders establishing presence before competitors.

2. Streamline underwriting for Community Advantage-eligible borrowers. CDFI partnerships can extend reach to borrower segments traditional underwriting may underserve. Technology-enabled partnerships with CDFIs represent a scalable approach.

3. Invest in SBA lending staff training and certification. Lenders seeking PLP designation should prioritize staff development enabling faster, more accurate underwriting. PLP designation provides meaningful competitive advantages in processing time and borrower appeal.

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Methodology Appendix

Data Sources and Access

This research relies on publicly available data from federal government sources:

SBA Loan Data Reports: The SBA publishes weekly and monthly 7(a) and 504 loan data reports through its data portal at sba.gov/data. These reports provide loan-level data including lender, amount, state, industry, and borrower demographic flags. We aggregated FY2025 data (October 2024-September 2025) and compared against historical periods.

Federal Reserve Small Business Credit Survey: The Federal Reserve Banks conduct annual employer small business surveys. The 2025 Report on Employer Firms, published in early 2026 based on fall 2025 survey fieldwork, provides self-reported application outcomes and financing gaps. Survey methodology employs stratified sampling to achieve geographic and demographic representativeness.

U.S. Census Bureau Data: County Business Patterns provides annual small business counts by state enabling per-capita calculations. The Annual Business Survey provides demographic ownership data. We utilized 2023 County Business Patterns (most recent complete release) for denominator calculations.

SBA Lender Activity Reports: Quarterly lender activity reports identify active 7(a) lenders and their PLP designation status. We compiled Q4 FY2025 data for infrastructure analysis.

Analytical Methods

Volume Analysis: State-level volume figures derive from direct aggregation of SBA loan data reports. We calculated market share as state volume divided by national total.

Per-Capita Calculations: Per-capita lending intensity equals state 7(a) volume divided by state small business count from County Business Patterns. Small business counts include all establishments with fewer than 500 employees.

Correlation Analysis: We calculated Pearson correlation coefficients between state-level variables (PLP lender density, SBDC locations per capita, rural population share) and outcome variables (per-capita lending volume, average loan size). Reported relationships achieve statistical significance at p<0.05.

Regional Classifications: State regional groupings follow Census Bureau regional definitions with minor modifications to improve analytical coherence.

Limitations

Several methodological limitations warrant emphasis:

1. Application data unavailability: The SBA does not publish loan application data, preventing direct calculation of approval/denial rates by state. Reported approval rate estimates derive from Federal Reserve survey data capturing self-reported outcomes across multiple credit products.

2. Intra-state variation: State-level aggregation masks substantial variation across metropolitan areas, rural regions, and local markets within states. Future research should examine county-level or MSA-level patterns where data permits.

3. Temporal lag: County Business Patterns data lags by approximately two years, meaning FY2025 lending data is divided by 2023 business counts. Material shifts in state business populations between these periods could affect per-capita calculations.

4. Self-selection effects: Observed approval patterns may reflect borrower self-selection—businesses in underserved markets may not apply if they perceive low approval odds—rather than lender decision-making alone.

5. Causal inference: Correlation analysis cannot establish causal relationships. While lender concentration strongly predicts lending volume, the relationship may be partially spurious—states with more businesses naturally attract more lenders.

Supplementary Data Tables

Table A1: Complete State-Level 7(a) Lending Data, FY2025

Note: Per-capita intensity index calculated as state per-capita lending divided by national average. Values above 1.0 indicate above-average intensity.

Table A2: Demographic Lending Breakdowns, FY2025

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Conclusion

This comprehensive analysis of SBA 7(a) loan approval patterns reveals a federal program that delivers substantial value but does so unevenly across the nation's geography. The concentration of lending volume in large states, the systematic barriers facing rural borrowers, and the strong predictive power of lender infrastructure all point toward structural factors that transcend individual borrower characteristics.

For small business owners, these findings underscore the importance of understanding local lending landscapes and pursuing strategies appropriate to their geographic context. Borrowers in well-served markets should leverage competitive dynamics, while those in underserved regions may benefit from national lender platforms and CDFI options.

For policymakers, the findings suggest that expanding the SBA 7(a) program's reach requires attention to supply-side factors—lender recruitment, CDFI capacity building, and infrastructure development—alongside traditional demand-side outreach. The program's effectiveness depends not only on guarantee terms but on the distribution networks delivering those guarantees to entrepreneurs.

As the small business sector continues its recovery from pandemic disruptions and navigates evolving economic conditions, the SBA 7(a) program remains an essential tool for expanding capital access. Ensuring that this tool reaches all communities equitably represents an ongoing challenge deserving sustained policy attention and continued research scrutiny.