Government

Statistical Officer

Based on 20 assessments

38% Moderate risk

Average realistic automation risk across all Statistical Officer profiles in the dataset.

Raw potential
75%
Realistic risk
38%
Research benchmark ?
71%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 20 profiles. Middle half of Statistical Officers score between 33% and 41%.

0% 50% 100%
p10 · 30%
44% · p90
On-screen work 76%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 12%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 12%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Statistical Officer, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Collaborate with subject-matter experts, stakeholders, and other analysts to define analytical needs, validate findings, and refine research questions
deep expertise
26% AA 4%
Extract, clean, and validate raw data from multiple sources (surveys, administrative records, databases); check for missing values, outliers, and inconsistencies
23% DD 63%
Run statistical analyses (descriptive statistics, hypothesis tests, regression models, time series); interpret results and troubleshoot model assumptions
deep expertise
21% DD 33%
Write statistical reports and methodological documentation; explain findings, limitations, and technical decisions to non-technical stakeholders
deep expertise
13% DD 15%
Create tables, charts, and visualizations for reports and dashboards; ensure accuracy and clarity for different audiences
some context needed
12% DD 37%
Design surveys or sampling methodologies; determine sample sizes, weighting schemes, and adjustment factors for bias
deep expertise social element
1% AD 19%
Maintain data quality assurance processes, metadata documentation, and version control; ensure reproducibility and compliance with standards
1% DD 91%

Work as a Statistical Officer? Map your specific role.

Start assessment →