Calculate intentional homicide victims per 100,000 population by year and sex

baltor_homicide_rate

Calculate intentional homicide victims per 100,000 population by year and sex with exact Poisson bounds and a pooled multi-year rate, counting victims rather than incidents or offenders and keeping attempts and conflict deaths out.

Files, names only

LICENSE 1.0 KB
SKILL.md 4.5 KB
contracts/input.schema.json 3.2 KB
contracts/output.schema.json 13.8 KB
examples/example.expected.json 3.1 KB
examples/example.input.json 865 bytes
references/provenance.json 4.7 KB
scripts/tool.py 11.0 KB
verification/test_tool.py 9.1 KB

Full files in your harness.

What it takes and gives

Command: python3 -B scripts/tool.py < examples/example.input.json
Input fields: confidence_level, years
Test: python3 -B -m unittest discover -s verification -p 'test_*.py' -v
Files: SKILL.md, contracts/input.schema.json, contracts/output.schema.json, scripts/tool.py
Placed for: OpenCode

Limits and scope

Limits: This is a supporting calculation for SDG target 16.1 on caller-supplied counts, not an official national estimate. Whether a death meets the classification, how police and health sources are reconciled, and how undercounting is handled are the caller's decisions.

Details

Kind: Skill
Licence: MIT
Declared effects: reads files, runs commands
Placed for: OpenCode
Source: docs/architecture/NORTH-STAR.md
Size: 9 files, 51.2 KB
Identity: baltor_homicide_rate
Version: 1b8c270ffd30938b996a7649ab2b4b4f887b1729ff0a6df058af8679e92e526f

The version is the SHA-256 of the item your harness downloads; every file in it names its own checksum.

Where it is shown

Calculators for public statisticsDeterministic skills

Related components

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