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UUID Collision Probability Calculator
Estimates the chance that two UUIDs collide using the birthday bound, the random bit count of each UUID version and the number of identifiers generated. Free, instant and entirely client-side.
A version 4 UUID has 122 random bits after the version and variant fields, so its birthday threshold is around 2^61 identifiers.
Estimates the chance that two UUIDs collide using the birthday bound, the random bit count of each UUID version and the number of identifiers generated.
- Random bits in UUID v4
- 122 bits
- Source: RFC 9562
- Random bits in UUID v7
- 74 bits
- Source: RFC 9562
- Common env size limit
- 4 KB
- Source: Serverless platforms
- Common directory mode
- 755
- Source: POSIX permissions
Quick answer
Estimates the chance that two UUIDs collide using the birthday bound, the random bit count of each UUID version and the number of identifiers generated. The calculator applies p(collision) ≈ 1 − exp(−n(n−1) / (2 × 2^bits)); 50% threshold ≈ 1.1774 × 2^(bits/2) and shows every intermediate value.
On this page
- 1Quick Answer
- 2Interactive Calculator
- 3UUID Collision Probability Calculator: Calculation Breakdown
- 4Key Takeaways
- 5Data Structure / Code Conversion Utilities Reference Numbers
- 6Implementation Approaches
- 7Reference Tables
- 8Formulas & How to Use
- 9Worked Examples
- 10Advanced Guide: UUID Collision Probability Calculator
- 11Language Playbooks
- 12Glossary
- 13Mistakes & Pro Tips
- 14Use Cases
- 15Related Calculators
- 16Long-Tail Answers
- 17FAQs (29)
- 18References
Interactive Calculator
Enter a value — every result updates instantly, in your browser. Free forever, no sign-up.
UUID Collision Probability Calculator
Every input is evaluated locally in your browser with deterministic arithmetic.
Live result
9.40e-20 collision risk
1,000,000,000 Version 4 UUIDs with 122 random bits: 9.40e-20 chance of a collision.
Variant
Version 4
Random or unique bits
122
Address space
2^122 ≈ 5.317e+36
UUIDs generated
1,000,000,000
UUID Collision Probability Calculator: Calculation Breakdown
Every input, intermediate value and result row behind the estimate.
| Variant | Version 4 |
|---|---|
| Random or unique bits | 122 |
| Address space | 2^122 ≈ 5.317e+36 |
| UUIDs generated | 1,000,000,000 |
| Pair comparisons | 5.000e+17 |
| Expected collisions | 9.404e-20 |
| At least one collision | 9.40e-20 |
| No collision | 100% |
| 50% threshold | 2,714,922,669,395,445,000 UUIDs |
| Target risk | 1e-12 (1.00e-12) |
| UUIDs for target risk | 3,260,954,456,334 |
| Time to target at rate | 1.03 years |
| Generation rate | 100,000/s |
| Safety margin | 92.1 bits |
| Birthday bits | 122 |
Collision probability by identifier count
| UUIDs | P(collision) | P(no collision) |
|---|---|---|
| 1,000 | 9.39e-32 | 100% |
| 1,000,000 | 9.40e-26 | 100% |
| 1,000,000,000 | 9.40e-20 | 100% |
| 1,000,000,000,000 | 9.40e-14 | 100% |
| 1,000,000,000,000,000 | 9.40e-8 | 99.999991% |
| 2,714,922,669,395,445,000 | 50% | 50% |
Step-by-step calculation
- 1With 122 random bits the UUID space contains about 5.317e+36 values.
- 2Generating 1,000,000,000 identifiers creates 5.000e+17 unordered pairs.
- 3Dividing the pairs by the space gives an expected 9.404e-20 collisions and a 9.40e-20 chance of at least one.
- 4The 50% birthday threshold is about 2,714,922,669,395,445,000 UUIDs; a 1e-12 risk is reached at about 3,260,954,456,334 UUIDs, or 1.03 years at 100,000 per second.
Key Takeaways
The 30-second version — the exact answers Google loves to feature.
- 1A version 4 UUID has 122 random bits after the version and variant fields, so its birthday threshold is around 2^61 identifiers.
- 2A version 7 UUID is time-ordered but still has 74 random bits, which is enough for most distributed systems when combined with a timestamp and counter.
- 3The birthday approximation 1 − exp(−n²/(2N)) is accurate while the collision probability is small; use the exact pair count for large n.
- 4Formula: P(collision) ≈ 1 − exp(−n(n−1) / (2 × 2^bits)); 50% threshold ≈ 1.1774 × 2^(bits/2)
- 5Default scenario: 9.40e-20 collision risk
Data Structure / Code Conversion Utilities Reference Numbers
Useful benchmarks to sanity-check the output before you commit to a decision.
- Random bits in UUID v4
- 122 bits
- Source: RFC 9562
- Random bits in UUID v7
- 74 bits
- Source: RFC 9562
- Common env size limit
- 4 KB
- Source: Serverless platforms
- Common directory mode
- 755
- Source: POSIX permissions
- PostgreSQL bind parameter limit
- 65535
- Source: Extended protocol
- Client-side conversion
- 100%
- Source: No data uploaded
Implementation Approaches
Three practical ways teams use uuid collision probability calculator, with the precision and safeguards each one needs.
Round-trip verification
Best for: Escaping, encoding and permission conversions
- Method: Convert the value, decode it back with the target parser and compare the result with the original byte sequence.
- Precision: Test non-BMP characters, control characters, quotes, backslashes, newlines and an empty value.
- Safeguards: Escape at the output boundary and rely on the framework encoder rather than manual replacement.
Contract-first types
Best for: JSON-to-TypeScript, JSON-to-struct and SQL placeholder work
- Method: Collect several representative samples, infer the shape, then review optional fields, nulls and unions before committing the type or schema.
- Precision: Treat one sample as a lower bound on the real contract; add schema validation for runtime data.
- Safeguards: Run the generated types through CI and compare them with the next API revision.
Least-privilege configuration
Best for: Permissions, .env files, identifiers and dependency ranges
- Method: Choose the smallest permission set, keep secrets out of version control and pin or narrow version ranges deliberately.
- Precision: Account for the umask, the deployment platform limits and the full identifier lifetime.
- Safeguards: Audit world-writable files, setuid binaries, committed secrets and unpinned production dependencies.
Quick Reference Tables
Widths, ranges, boundary values and language types — the lookup tables you will come back to.
Where each escape applies
| Context | Escape | Main risk |
|---|---|---|
| HTML text | & < > and quotes | Markup injection |
| HTML attribute | Quotes, ampersand and newlines | Attribute breakout |
| JavaScript string | \uXXXX, \\ and quotes | Syntax error or code injection |
| JSON string | \" \\ \n | Invalid JSON |
| CSS string | \\, \A and the matching quote | Declaration breakout |
| URL component | Percent-encoded UTF-8 bytes | Reserved-byte ambiguity |
| .env double quotes | \$ \" \\ \n | Interpolation or truncation |
| Shell single quotes | '\'' for an embedded quote | Word splitting |
Formulas & How to Use This Calculator
Core relationship
P(collision) ≈ 1 − exp(−n(n−1) / (2 × 2^bits)); 50% threshold ≈ 1.1774 × 2^(bits/2)
Unit convention
Inputs are uuid variant, uuids generated, random bits (custom), target risk exponent, generation rate per second. Keep each unit consistent with the result rows; convert before comparing estimates that use different units or time windows.
Validation
1. Reproduce the headline from the displayed rows. 2. Compare the result with a measured, billed or benchmarked value. 3. Re-run with a boundary input and with a scaled input. 4. Record the assumptions, source and date next to the result.
How to use — step by step
- Open the UUID Collision Probability Calculator and review the input defaults.
- Replace uuid variant with your measured or planned value.
- Set uuids generated (Total identifiers across the lifetime of the system.).
- Set random bits (custom) (Used only when the custom variant is selected.).
- Set target risk exponent (The target is 10 to the power of minus this value; 12 means one in a trillion.).
- Read the headline result and compare it with the supporting rows in the breakdown.
- Test one boundary value and one scaled value to understand the sensitivity.
- Copy or record the result together with the units and assumptions used.
Worked Examples
Real numbers and raw bits, fully worked — copy the pattern for your own code or protocol.
One billion UUID v4 identifiers
Inputs
UUID variant = v4; UUIDs generated = 1000000000; Random bits (custom) = 122; Target risk exponent = 12; Generation rate per second = 100000
Math
P(collision) ≈ 1 − exp(−n(n−1) / (2 × 2^bits)); 50% threshold ≈ 1.1774 × 2^(bits/2)
Result
9.40e-20 collision risk · Variant: Version 4 · Random or unique bits: 122 · Address space: 2^122 ≈ 5.317e+36
One trillion UUID v7 identifiers
Inputs
UUID variant = v7; UUIDs generated = 1000000000000; Random bits (custom) = 74; Target risk exponent = 15; Generation rate per second = 1000000
Math
P(collision) ≈ 1 − exp(−n(n−1) / (2 × 2^bits)); 50% threshold ≈ 1.1774 × 2^(bits/2)
Result
100% collision risk · Variant: Version 7 · Random or unique bits: 74 · Address space: 2^74 ≈ 1.889e+22
Fifty million custom 64-bit IDs
Inputs
UUID variant = custom; UUIDs generated = 50000000; Random bits (custom) = 64; Target risk exponent = 9; Generation rate per second = 250000
Math
P(collision) ≈ 1 − exp(−n(n−1) / (2 × 2^bits)); 50% threshold ≈ 1.1774 × 2^(bits/2)
Result
6.78e-5 collision risk · Variant: Custom · Random or unique bits: 64 · Address space: 2^64 ≈ 1.845e+19
Advanced Guide: UUID Collision Probability Calculator
Beyond the calculator — how to use uuid collision probability calculator in real engineering, capacity and review decisions.
What the UUID Collision Probability Calculator measures
Estimates the chance that two UUIDs collide using the birthday bound, the random bit count of each UUID version and the number of identifiers generated. It turns ordinary project, infrastructure or runtime inputs into a visible number you can defend in a design review. The calculator is deliberately transparent: the result is derived from p(collision) ≈ 1 − exp(−n(n−1) / (2 × 2^bits)); 50% threshold ≈ 1.1774 × 2^(bits/2) rather than from an opaque benchmark, so you can change one assumption and immediately see how the answer moves.
The formula and its units
The core relationship is P(collision) ≈ 1 − exp(−n(n−1) / (2 × 2^bits)); 50% threshold ≈ 1.1774 × 2^(bits/2). Every field is labelled with its unit and expected range next to the input, and the breakdown repeats the intermediate values so a reviewer can verify the arithmetic. When you compare two results, make sure both were computed with the same units and the same time window; most apparent differences in data structure / code conversion utilities estimates are really unit or scope mismatches.
A worked check with the default inputs
With the default inputs (UUID variant = v4; UUIDs generated = 1000000000; Random bits (custom) = 122; Target risk exponent = 12; Generation rate per second = 100000), the calculator reports 9.40e-20 collision risk. Change UUID variant and the headline moves to 100% collision risk. That sensitivity is useful: if a small input change produces a large output change, the assumption deserves a source or a range rather than a single guess.
Inputs, assumptions and defaults
The inputs are UUID variant (default v4); UUIDs generated (Total identifiers across the lifetime of the system.); Random bits (custom) (Used only when the custom variant is selected.); Target risk exponent (The target is 10 to the power of minus this value; 12 means one in a trillion.); Generation rate per second (Used to estimate how long the target threshold takes to reach.). Defaults are realistic starting points, not recommendations for your system. Replace them with measured values wherever possible: production metrics, billing exports, compiler sizeof output, provider documentation or historical project data. Keep the assumptions beside the result so the estimate can be reproduced later.
Reading a low or high result
A low result usually means small scale, generous headroom or optimistic assumptions; a high result means the opposite. Neither is automatically good or bad. Ask which input dominates the change, then compare the result with a second method such as a benchmark, a bill, a query plan or a pilot. Agreement between two independent methods is much stronger evidence than a single formula.
Common mistakes in data structure / code conversion utilities
Treating a low collision probability as a guarantee and skipping the unique constraint. Assuming version 1 UUIDs are random when they are mostly timestamp and node ID. Document the units, the measurement window and the scope, and re-run the calculation when the workload or architecture changes.
How to validate the result
Validate with three checks: reproduce the headline from the displayed rows, compare the estimate with a measured production value, and test a boundary case (zero, one, the maximum or a doubled input). If the three checks disagree, the model or the input is wrong. Record the validation date and the data source so the next reviewer can repeat it.
Where this fits in Data Structure / Code Conversion Utilities
This tool supports escapes, JSON-to-type inference, SQL placeholders, .env files, permissions, UUID collision risk and semantic version ranges. Use it during design, capacity review, incident follow-up or cost planning. Pair it with the related calculators to cover adjacent assumptions, and keep the output with the design decision so future changes can be compared against a known baseline.
Limitations and precision
No estimate is more accurate than its inputs. The calculator assumes steady-state behavior, consistent units and the defaults described in the field help. Real systems have bursty traffic, fragmentation, retries, background jobs and measurement error. Where the result informs a commitment or a budget, add a range and a contingency rather than treating the headline as a guarantee.
Related calculations to run next
The most useful companion tools are UUID Generator / Validator, Birthday Attack Probability Calculator, Random Number Collision Probability Calculator, Hash Collision Probability Calculator. Together they cover the neighbouring assumptions — for example scale, overhead, failure headroom and cost — so you can present a complete estimate rather than a single isolated number.
Language & Platform Playbooks
The same bit pattern behaves differently in every language. Here is how to adapt the conversion safely.
JavaScript / TypeScript
Use JSON.parse plus a schema validator, escape at the HTML or JSON output boundary, and let a semver library parse ranges instead of comparing strings. For uuid collision probability calculator, use the same units and time window described in the calculator so the result lines up with your platform data.
Python
Use json.dumps with ensure_ascii when an ASCII payload is required, os.chmod with an explicit mode, and packaging.version for PEP 440 or SemVer-aware comparisons. For uuid collision probability calculator, use the same units and time window described in the calculator so the result lines up with your platform data.
Shell and CI
Use printf %q for safe shell quoting, keep .env files out of the repository, verify modes with stat, and let the release tool write the version tag and package metadata together. For uuid collision probability calculator, use the same units and time window described in the calculator so the result lines up with your platform data.
SQL and ORMs
Use prepared statements for every value, compute batch size from the driver limit divided by placeholders per row, and log the parameter count when a bulk insert fails. For uuid collision probability calculator, use the same units and time window described in the calculator so the result lines up with your platform data.
Glossary: Key Terms Explained
- Code point
- A Unicode number that identifies a character, written as U+ followed by hexadecimal digits.
- Surrogate pair
- Two UTF-16 code units that together represent one code point above U+FFFF.
- Percent-encoding
- Representing a byte in a URL as a percent sign followed by two hexadecimal digits.
- Parameter placeholder
- A marker such as ?, $1 or :name that a driver binds to a value before executing a prepared statement.
- Umask
- A mask that removes permission bits from newly created files and directories.
- SemVer
- Semantic Versioning, a MAJOR.MINOR.PATCH scheme with documented compatibility rules and prerelease identifiers.
Common Mistakes & Pro Tips
Mistakes that break conversions
- Treating a low collision probability as a guarantee and skipping the unique constraint.
- Assuming version 1 UUIDs are random when they are mostly timestamp and node ID.
- Mixing units or time windows when comparing two uuid collision probability calculator results.
- Treating the default values as a recommendation instead of a starting point.
- Reporting a single number without the assumptions, range or measurement date behind it.
Pro tips for production code
- Estimate collisions over the total number of identifiers the system will ever create, not the current row count.
- Prefer version 4 or 7 for distributed IDs and keep version 3 or 5 for deterministic name-based keys.
- Measure the dominant input before refining the model; the largest uncertainty deserves the most attention.
- Keep a short record of the inputs, result and date so future comparisons are meaningful.
- Validate the estimate with a second method — a benchmark, a bill or production telemetry.
- Pair this result with the related calculators (UUID Generator / Validator, Birthday Attack Probability Calculator, Random Number Collision Probability Calculator) for a complete picture.
Who Should Use This Calculator?
- ▸ Sizing the random portion of a distributed identifier.
- ▸ Reviewing a UUID primary-key strategy.
- ▸ Explaining the birthday bound to a product team.
- ▸ Capacity review: turn uuid variant into a defensible planning number.
- ▸ Design review: compare two architectures or configurations with the same assumptions.
- ▸ Incident follow-up: quantify the gap between the estimate and observed behaviour.
Related Programming Calculators
Keep going — every tool below links directly into this workflow.
People Also Search For
Tap a long-tail question to jump to the matching FAQ answer.
Frequently Asked Questions (29)
Long-tail answers: each question targets a real Google search about uuid collision probability calculator — click to expand.
Showing 29 of 29 answers.
How likely is a UUID v4 collision?
Are UUID v7 identifiers collision-safe?
Should I still add a unique constraint?
What does the UUID Collision Probability Calculator calculate?
What formula does the UUID Collision Probability Calculator use?
What should I enter for uuid variant?
What should I enter for uuids generated?
What should I enter for random bits (custom)?
What should I enter for target risk exponent?
What should I enter for generation rate per second?
How do I interpret the UUID Collision Probability Calculator result?
What units does the UUID Collision Probability Calculator use?
What are common mistakes when calculating uuid collision probability calculator?
When should I use the UUID Collision Probability Calculator?
How can I validate the UUID Collision Probability Calculator result?
What is a worked example of the UUID Collision Probability Calculator?
What related calculators should I use with the UUID Collision Probability Calculator?
Is the UUID Collision Probability Calculator free and private?
Can I use the UUID Collision Probability Calculator for production planning?
How sensitive is the UUID Collision Probability Calculator to uuid variant?
Which escape function should I use for user input?
How should I store and deploy .env files?
What file permissions should I use?
Why does a caret range behave differently below 1.0.0?
What does a typical UUID Collision Probability Calculator output look like?
How precise is the UUID Collision Probability Calculator?
Does the UUID Collision Probability Calculator include overhead?
How often should I re-run the UUID Collision Probability Calculator?
What is the best first step after using the UUID Collision Probability Calculator?
Resources & Authoritative References
Further reading
- RFC 9562: UUIDs — UUID versions, bit layouts and collision guidance.
- Semantic Versioning 2.0.0 — Version precedence, prerelease rules and compatibility.
- OWASP XSS Prevention — Context-specific output escaping rules.
- dotenv parser — How .env values, quotes and escapes are parsed.
- GNU chmod manual — Octal and symbolic permission syntax.
Authoritative sources
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