Military data journalists
can verify and reuse.
Explore original comparisons of public UK Armed Forces strength, intake and outflow. Download documented data and figures, or generate a service-by-service claim whose definition is explicit.
Editorial review 16 October 2026 · most recent personnel observation 1 July 2026 · revised source 23 September 2026 · independent, not MOD affiliated.
Research assets and independent findings
Where July 2026 Regular headcount increased ↗
Original service-level arithmetic, a sourced SVG graphic and a comparison with 2021.
Seven years of UK Regular joiners and leavers ↗
Why an official +1,460 net claim and a +1,450 subtraction of rounded counts coexist.
Where Royal Navy official joining pages conflict ↗
Three dated side-by-side examples: bleep test versus 2.4km and four-day versus five-day CPC wording.
Why 2026 military recruitment numbers seem inconsistent ↗
March-ended +980, June-ended +1,460 and July serving-strength +1,450; dates and definitions matter.
Eight claims journalists should challenge ↗
Application acceptance myths, Regular-vs-total confusion and revised Navy PJFT timing.
Choose years and generate a citation ↗
Interactive historical population comparisons, original source vintage, shareable SVG and CSV.
The deeper 24-year research archive ↗
Original 2000–2023 annual means, 2017–2026 July count history and source-led downloads.
Source-linked reusable military dataset ↗
Ten years × four official service groupings × three separate headcount definitions.
Machine-readable journalist research
Download explicit comparisons, source URLs, July dates and limitations as stable-versioned JSON for audit or newsroom reuse.
Research findings JSON ↓Responsible attribution
“Project Selection, independent analysis of Ministry of Defence Quarterly Service Personnel Statistics.” Cite the exact MOD publication too. These are officially published public-sector figures re-presented under OGL v3.0; the derived differences and service contrasts are our research presentation, not exclusive government data or evidence of a policy effect.