ivolve Workforce Intelligence · Internal Tool
Workforce Geography · v4 Model

Recruitment RAG Predictor

Enter a postcode to auto-populate area characteristics from the ivolve database, then generate the predicted Recruitment RAG rating with factor contributions and a 95% confidence interval.

OLS regression · n=160–121 · Adj. R²=7.7–22.0%
Postcode lookup — auto-populate inputs
Select model
Site area characteristics
Range: 0–18 · Mean: 4.4
svcs
0 (isolated)18 (saturated)
Range: 62–12,304 · Mean: 2,537
p/km²
62 (rural)12,304 (urban)
Range: 37.9–72.8% · Mean: 58.6%
%
37.9%72.8%
Range: 29.6–80.1% · Mean: 56.0%
%
29.6%80.1%
Labour market catchment analysis
Expand outward in distance rings — average predictor values at each catchment size
▼ expand
Number of rings
Enter a postcode above first
PREDICTED BAND
Continuous score
Scale 1.00 → 3.00
1.0 · Difficult2.0 · Moderate3.0 · Easy
Factor contributions to prediction
95% Confidence Interval
Model fit (Adj. R²)
Nearest areas with easier recruitment
3 closest MSOAs within the catchment predicted as Easy (RAG 3)
Searching nearby areas…
RAG Scale Reference
1
Difficult
Service finds recruitment hard. Vacancies take longer to fill. 11% of sample.
2
Moderate
Recruitment is manageable but requires active effort. Most common band. 43% of sample.
3
Easy
Service attracts applicants without significant difficulty. 46% of sample.