JMP VS Stata
As of 4 November 2026, Stata is named by 623 companies and JMP by 734; JMP skews to companies under 200 people (28% vs 39%), Stata to companies over 1,000 (39% vs 48%).
As of 4 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
The website-and-DNS footprint is not comparable between a marketing suite and a CRM: JMP's script and mail records show on hundreds of thousands of small sites, Stata rarely leaves a trace outside its own apps. Compare on the job-posting numbers; use the footprint for reach.
- JMP: 2–200 employees
- 28%
- Stata: 2–200 employees
- 39%
- JMP: 1,000+ employees
- 48%
- Stata: 1,000+ employees
- 39%
- Postings per company, 90 days
- 5.1 · 2.3
- Website or DNS footprint
- 0 · 0
Who chooses which
Share of each tool's companies in every segment. "Leans" marks a gap of more than two points.
| Segment | JMP | share | Stata | share | Leans |
|---|---|---|---|---|---|
| Self-employed | 9 | 1% | 9 | 1% | even |
| 2-10 employees | 36 | 5% | 38 | 6% | even |
| 11-50 employees | 62 | 8% | 103 | 17% | Stata |
| 51-200 employees | 108 | 15% | 105 | 17% | Stata |
| 201-500 employees | 96 | 13% | 66 | 11% | JMP |
| 501-1000 employees | 72 | 10% | 59 | 9% | even |
| 1001-5000 employees | 130 | 18% | 120 | 19% | even |
| 5001-10000 employees | 58 | 8% | 41 | 7% | even |
| 10,001+ employees | 163 | 22% | 82 | 13% | JMP |
| Segment | JMP | share | Stata | share | Leans |
|---|---|---|---|---|---|
| Manufacturing & industry | 485 | 66% | 16 | 3% | JMP |
| Technology & software | 95 | 13% | 44 | 7% | JMP |
| Business & finance services | 39 | 5% | 139 | 22% | Stata |
| Public, community & associations | 24 | 3% | 196 | 31% | Stata |
| Utilities & infrastructure | 17 | 2% | 5 | 1% | even |
| Automotive | 14 | 2% | – | – | outside top 12 |
| Commerce & trade | 14 | 2% | 4 | 1% | even |
| Health care | 13 | 2% | 50 | 8% | Stata |
| Media & content | 10 | 1% | 37 | 6% | Stata |
| Consumer services & leisure | 9 | 1% | 116 | 19% | Stata |
| Property & construction | 6 | 1% | 5 | 1% | even |
| Agriculture & forestry | 4 | 1% | 3 | 0% | even |
| Hospitality & travel | – | – | 3 | 0% | outside top 12 |
| Segment | JMP | share | Stata | share | Leans |
|---|---|---|---|---|---|
| United States | 558 | 76% | 388 | 62% | JMP |
| United Kingdom | 33 | 4% | 30 | 5% | even |
| Germany | 20 | 3% | 36 | 6% | Stata |
| Canada | 11 | 1% | 19 | 3% | even |
| France | 10 | 1% | 9 | 1% | even |
| Switzerland | 8 | 1% | 9 | 1% | even |
| India | 6 | 1% | 13 | 2% | even |
| Netherlands | 6 | 1% | – | – | outside top 12 |
| Sweden | 6 | 1% | – | – | outside top 12 |
| Italy | 5 | 1% | 6 | 1% | even |
| Australia | 4 | 1% | 6 | 1% | even |
| Denmark | 4 | 1% | 8 | 1% | even |
| Singapore | – | – | 9 | 1% | outside top 12 |
| Spain | – | – | 8 | 1% | outside top 12 |
| Segment | JMP | share | Stata | share | Leans |
|---|---|---|---|---|---|
| Engineering (non-software) | 2,628 | 59% | 4 | 0% | JMP |
| Quality, safety & environment | 424 | 10% | 4 | 0% | JMP |
| Research and science | 285 | 6% | 374 | 20% | Stata |
| Data & AI | 128 | 3% | 350 | 18% | Stata |
| Software engineering | 83 | 2% | 10 | 1% | even |
| General management & consulting | 41 | 1% | 55 | 3% | even |
| Sales | 35 | 1% | – | – | outside top 12 |
| Product, program & project management | 34 | 1% | 89 | 5% | Stata |
| Manufacturing and production | 25 | 1% | – | – | outside top 12 |
| IT operations & business systems | 10 | 0% | 14 | 1% | even |
| Logistics warehouse and transport | 10 | 0% | 1 | 0% | even |
| Marketing & communications | 10 | 0% | 12 | 1% | even |
| Skilled trades and field service | 7 | 0% | – | – | outside top 12 |
| Unclassified | 6 | 0% | 25 | 1% | even |
| Customer service & success | 5 | 0% | – | – | outside top 12 |
| Legal, compliance & risk | 4 | 0% | 33 | 2% | even |
| Administration & office | 2 | 0% | – | – | outside top 12 |
| Design & UX | 2 | 0% | 2 | 0% | even |
| Education & training | 2 | 0% | 30 | 2% | even |
| Procurement and purchasing | 2 | 0% | – | – | outside top 12 |
| Business development & strategy | 1 | 0% | 70 | 4% | Stata |
| Human resources | 1 | 0% | 3 | 0% | even |
| Finance & accounting | – | – | 71 | 4% | outside top 12 |
| Healthcare clinical | – | – | 8 | 0% | outside top 12 |
| Hospitality and food service | – | – | 4 | 0% | outside top 12 |
| Arts media and entertainment | – | – | 3 | 0% | outside top 12 |
| Agriculture and environment | – | – | 1 | 0% | outside top 12 |
| Construction and civil | – | – | 1 | 0% | outside top 12 |
| Public safety and protective services | – | – | 1 | 0% | outside top 12 |
| Social care and community | – | – | 1 | 0% | outside top 12 |
The companies behind each column
Companies using JMP →
Companies using Stata →
statistical software ranked →
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Stata is named by 623 companies in job postings and JMP by 734; 0 name both. (Breaknorm, 4 November 2026, https://breaknorm.co/compare/jmp-vs-stata)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- Job postingsRead hourly from career sites. A tool counts when the employer's own text names it as the team's system; both tools can count for one company.
- Website and DNSScripts and embeds on the company's pages, plus SPF, DKIM, MX and CNAME records of its domain that point at the vendor.
- SegmentsCountry, size and industry from the company profile built from its website.
- Not a reviewNo ratings, prices or feature claims. For those, read the vendors.
JMP vs Stata: questions
Which is more used, JMP or Stata?
By companies naming it in their own job postings, JMP (734) over Stata (623). By website-and-DNS footprint, Stata (0 vs 0), because its scripts and mail records sit on many small company sites.
Who chooses JMP?
28% of JMP companies have 2 to 200 employees, against 39% for Stata. 48% of JMP companies have over 1,000 employees, against 39% for Stata.
Do companies run both?
0 companies name both in their postings, usually JMP in marketing and Stata in sales, or during a migration.
Where do these numbers come from?
From the employer's own text in job postings read hourly from career sites, and from scripts found on company websites in our crawl. No vendor data, no surveys.
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