Description
Calculate a service-catchment population weight.
Public-health data distinguishes assigned case definitions, invitation responses, missing codes, repeat attendances and population denominators. A display-suppression rule changes visible text without necessarily preventing re-identification. Administrative labels and local summaries require verified study, privacy and clinical context before they can support population-health decisions.
Calculate a service-catchment population weight.
When to use this tool
Use Public Health Service Catchment Weight when you already have catchmentPopulation, totalPopulation and need to calculate a service-catchment population weight.
How to use the tool and how it works
- Enter catchmentPopulation, totalPopulation. Use the units and conventions below.
- Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
- Read weight. Use the output convention below.
Require safe whole totalPopulation>=1 and catchment population within total; return catchment/total.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| catchmentPopulation | Catchment Population | Required. Safe integer; minimum 0. |
| totalPopulation | Total Population | Required. Safe integer; minimum 1. |
| Output field | Interpretation | Returned shape |
|---|---|---|
| weight | Weight | Required. Finite number. |
{
"input": {
"catchmentPopulation": 2500,
"totalPopulation": 10000
},
"output": {
"weight": 0.25
}
}Limitations and assumptions
- Counts and catchment are supplied; no population boundary, representativeness, needs or entitlement is established.
- Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
- Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.
Alternative or Complementary methods
Review the surveillance definition, survey codebook and population frame for actual counts and classifications. Assess disclosure controls across the full released dataset, including linked totals and repeated queries, rather than relying on one small-cell display rule.
References
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