Nurse email list: 47,535 US nurses, free to download
47,535 U.S. nurses in Datacircle's free 10M+ U.S. dataset have an email or a mobile phone: 14,933 with an email, 39,162 with a mobile, 6,560 with both. They work at companies of 11 to 500 employees, by the current job title on their LinkedIn profile, in our October 2026 release.
One download, free with a work email; the list is one query on it. Below, the nurses counted by state, industry and company size, with their titles as written. People are counted here, never named.
Download the nurse email list
Sign up with your work email: the 10M+ U.S. dataset is on your dashboard, one zip of two Parquet files. Unzip it into a folder named us_10m, then run this in Python (pip install duckdb). It writes the 47,535 nurses with an email or a mobile to a CSV, each with their company, its website, industry and size, and their LinkedIn URL:
import duckdb
duckdb.sql(r"""
copy (
select p.FULL_NAME, p.CURRENT_JOB_TITLE, c.NAME as COMPANY, c.URL as WEBSITE, c.LINKEDIN_INDUSTRY as INDUSTRY,
c.EMPLOYEE_COUNT_RANGE as EMPLOYEES, p.EMAIL, p.MOBILE_PHONE, p.CITY, p.STATE_CODE, p.LINKEDIN_URL
from 'us_10m/us_smb_mid_market_persons.parquet' p
join 'us_10m/us_smb_mid_market_companies.parquet' c on c.LINKEDIN_ID = p.CURRENT_JOB_COMPANY_LINKEDIN_ID
where regexp_matches(p.CURRENT_JOB_TITLE, '\b(nurse|rn|lpn|lvn)\b', 'i')
and not regexp_matches(p.CURRENT_JOB_TITLE, '\bnurse (assistant|aide|recruiter)\b|\brecruit|\bassistant\b.*\b(to|for)\b|\bexecutive assistant\b', 'i')
and (p.EMAIL is not null or p.MOBILE_PHONE is not null)
) to 'us_nurses.csv'
""")The pattern takes a title as written on LinkedIn, in any letter case, and the second one leaves out the titles it shouldn't take. To cut it by state, add and p.STATE_CODE = 'TX'; by size, and c.EMPLOYEE_COUNT_RANGE = '51-200'. Every column of the file and its fill rate: the free US B2B leads dataset.
Their titles, as written on LinkedIn
The titles the most nurses of the list hold, word for word. Titles held by fewer than 10 people aren't shown.
| Title | People |
|---|---|
| Registered Nurse | 11,648 |
| RN | 4,440 |
| Nurse Practitioner | 3,103 |
| Licensed Practical Nurse | 2,547 |
| LPN | 2,412 |
| Nurse | 2,185 |
| Family Nurse Practitioner | 1,903 |
| Psychiatric Nurse Practitioner | 629 |
| Lvn | 600 |
| Staff RN | 510 |
US nurses by state
By the state on their LinkedIn profile. Texas holds 9.7% of them, California 9.5%.
| State | With an email or a mobile | Share |
|---|---|---|
| Texas | 4,598 | 9.7% |
| California | 4,520 | 9.5% |
| Florida | 3,579 | 7.5% |
| New York | 2,327 | 4.9% |
| Ohio | 2,294 | 4.8% |
| Pennsylvania | 2,028 | 4.3% |
| Illinois | 1,753 | 3.7% |
| North Carolina | 1,745 | 3.7% |
| Tennessee | 1,474 | 3.1% |
| Georgia | 1,443 | 3.0% |
| Michigan | 1,315 | 2.8% |
| Indiana | 1,174 | 2.5% |
| Massachusetts | 1,100 | 2.3% |
| Virginia | 1,043 | 2.2% |
| New Jersey | 1,000 | 2.1% |
| Missouri | 994 | 2.1% |
| Arizona | 984 | 2.1% |
| Louisiana | 951 | 2.0% |
| Colorado | 837 | 1.8% |
| Alabama | 799 | 1.7% |
| Washington | 795 | 1.7% |
| Minnesota | 772 | 1.6% |
| Kansas | 736 | 1.5% |
| South Carolina | 723 | 1.5% |
| Wisconsin | 710 | 1.5% |
| Maryland | 684 | 1.4% |
| Oklahoma | 656 | 1.4% |
| Kentucky | 655 | 1.4% |
| Oregon | 549 | 1.2% |
| Mississippi | 511 | 1.1% |
| Arkansas | 484 | 1.0% |
| Iowa | 482 | 1.0% |
| Connecticut | 449 | 0.9% |
| Utah | 427 | 0.9% |
| Nevada | 380 | 0.8% |
| Nebraska | 355 | 0.7% |
| Maine | 228 | 0.5% |
| Idaho | 218 | 0.5% |
| West Virginia | 210 | 0.4% |
| New Mexico | 200 | 0.4% |
| New Hampshire | 183 | 0.4% |
| Rhode Island | 175 | 0.4% |
| District of Columbia | 154 | 0.3% |
| South Dakota | 149 | 0.3% |
| Hawaii | 140 | 0.3% |
| Montana | 118 | 0.2% |
| Delaware | 106 | 0.2% |
| Alaska | 99 | 0.2% |
| Wyoming | 90 | 0.2% |
| Vermont | 71 | 0.1% |
| North Dakota | 68 | 0.1% |
US nurses by industry
By their company's industry on LinkedIn, the 10 largest. Hospitals and Health Care comes first, with 46.6% of them.
| Industry | With an email or a mobile |
|---|---|
| Hospitals and Health Care | 22,167 |
| Medical Practices | 8,578 |
| Staffing and Recruiting | 2,825 |
| Mental Health Care | 1,724 |
| Wellness and Fitness Services | 1,378 |
| Insurance | 653 |
| Software Development | 423 |
| Health, Wellness and Fitness | 385 |
| Law Practice | 327 |
| Home Health Care Services | 316 |
US nurses by company size
By the employee range on their company's LinkedIn page. The free file holds companies of 11 to 500 employees. The 50M+ dataset holds every size: 1,099,176 nurses, 232,203 with an email and 439,037 with a mobile. It unlocks once 3 people you invited sign up.
| Employees | With an email or a mobile | Share |
|---|---|---|
| 11-50 | 15,070 | 31.7% |
| 51-200 | 17,124 | 36.0% |
| 201-500 | 15,341 | 32.3% |
How recent the emails are
Each email in the file comes with EMAIL_VALIDATED_AT, the date it was last verified: 14,895 of the 14,933 emails of these nurses (99.7%) were last verified on or after August 1, 2026. A person's job as it is today, their title and company, is the LinkedIn profile behind their URL: the LinkedIn profile API, $1.25 per 1,000 through Up2Data.
Other job titles
CEOs, CFOs, COOs, CTOs, CMOs, CIOs, business owners, founders, company presidents, executive directors, general managers, operations managers and directors, plant managers, facility managers and directors, safety managers and directors, supply chain managers and directors, logistics managers and directors, VPs of sales, VPs of marketing, sales directors, sales managers, marketing directors, marketing managers, HR managers and directors, IT managers and directors, software engineers and developers, VPs and directors of engineering, product managers, project managers, purchasing managers and buyers, realtors and real estate agents, attorneys, paralegals, accountants and CPAs, bookkeepers, controllers, architects, recruiters, office managers, practice managers and administrators, store managers, insurance agents and brokers, physicians, dentists, pharmacists, physical therapists, veterinarians, financial advisors, loan officers and mortgage brokers, property managers, electricians, plumbers, HVAC professionals, superintendents, estimators, truck drivers. All 57, counted side by side: email lists by job title. Companies by industry and state: the free list of US companies.
Questions
How many nurses are in Datacircle's free file?
112,689 people in the free 10M+ US dataset (October 2026) have a current job title of nurse, by the title on their LinkedIn profile. 47,535 of them have an email or a mobile phone: 14,933 an email, 39,162 a mobile, 6,560 both.
Can I download a nurse email list for free?
Yes. Sign up at datacircle.dev with your work email and download the free 10M+ US dataset from your dashboard: one zip with the people and the companies they work at. The nurses are one query on it, printed on this page, which writes them to a CSV with their company, email, mobile phone and LinkedIn URL.
Which state has the most nurses?
Texas, with 4,598 of the 47,535 who have an email or a mobile (9.7%), then California (4,520) and Florida (3,579). The state is the one on their LinkedIn profile.
How recent are the emails?
Each email comes with EMAIL_VALIDATED_AT, the date it was last verified. 14,895 of the 14,933 emails of these nurses (99.7%) were last verified on or after August 1, 2026.
Does it cover companies of every size?
The free file holds people at companies of 11 to 500 employees. Every size is in the 50M+ US dataset: 1,099,176 nurses, 560,482 with an email or a mobile. It unlocks once 3 people you invited sign up.
Sign up at datacircle.dev with your work email: a $5 credit, that's 4,000 LinkedIn profiles at $1.25 per 1,000. Free: 10M+ U.S. B2B leads, as a flat file. Download it at datacircle.dev.
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