Career profile № 1

Registered Nurse

3.4 million people do this job. The pay is real, the demand is real — and so are the night shifts, the staffing ratios, and the things nobody mentions at the school open house. Here's both halves of the story.

Part one · The numbers

A quarter-century of nursing pay

The default view is what the payslip said. Switch it to 2024 dollars and the same line answers a different question — not “what is the number” but “am I better off”. Both are true; only one of them is the one people actually mean.

Pick an event to read what happened
2000 $781 median weekly earnings, full-time RNs

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View the data as a table
RN pay (what the payslip said) — USD / week
YearRN weekly pay
2000$781
2001$800
2002$869
2003$899
2004$904
2005$935
2006$978
2007$984
2008$1,022
2009$1,039
2010$1,055
2011$1,039
2012$1,097
2013$1,099
2014$1,090
2015$1,116
2016$1,154
2017$1,150
2018$1,167
2019$1,223
2020$1,262
2021$1,305
2022$1,395
2023$1,442
2024$1,507
2025$1,563

Source: BLS Current Population Survey via api.bls.gov public API

Career Field Notes, "RN pay (what the payslip said) — USD / week". Data as of August 22, 2026. https://careerfieldnotes.com/data/snapshots/2026-08-22/

Where a nursing salary can sit

Every percentile from the 10th to the 90th. The five BLS actually publishes are highlighted; the rest are interpolated between them.

How likely is each salary?

The hump is the most common pay. Estimated from the same five BLS percentiles by fitting a log-normal — the shape between the published points is modelled, not measured.

Where nursing is heading

Total U.S. employment, actual vs. projected.

View the data as a table
Registered nurse employment, 2024 and projected 2034
MeasureValue
Employed3,391,000
Projected employed, 20343,557,100
Change+4.9%

Source: BLS Employment Projections National Matrix (Structured Data - Industry Mix)

Career Field Notes, "Registered nurse employment, 2024 and projected 2034". Data as of August 22, 2026. https://careerfieldnotes.com/data/snapshots/2026-08-22/

Source: BLS Employment Projections, National Employment Matrix.

Highest-paying states

  1. 1 California see this state in depth $148,330
  2. 2 Hawaii see this state in depth $123,720
  3. 3 Oregon see this state in depth $120,470
  4. 4 Washington see this state in depth $115,740
  5. 5 Massachusetts see this state in depth $112,610

Annual mean wage · BLS OEWS May 2024 state file (oesm24st), SOC 29-1141

Annual mean wage, BLS OEWS. Each outline is scaled to its own box, so shapes show form, not relative size.

The gender pay gap is real here too

Part two · Which kind of nurse

The bigger decision is not whether to be a nurse

Across 21 clinical specialties, the share of nurses satisfied with their job runs from 84.9% down to 71.1% — a spread of 13.8 percentage points depending on which kind of nurse you became. That is a federal probability sample of 49,234 responses, not a poll.

Almost every guide to this career is organised around whether to enter it. Very little is organised around which part of it to enter, which is the choice this data says varies most.

27 specialties · 4 have both measures

Registered nurse job satisfaction and turnover by clinical specialty
Specialty Satisfied% of nurses in it · bars span 65–90% Turnover% per year · bars span 0–25%
Psychiatric or mental health matched 84.9% 22.5%
Occupational health 84.3% no data
Geriatrics/gerontology 83.9% no data
Home health or hospice 83.1% no data
All other specialties 82.9% no data
Ambulatory care 82.4% no data
Neurological 81.9% no data
Renal or dialysis 81.9% no data
Oncology 81.8% no data
School health service 81.5% no data
Obstetrics and gynecology 80.8% no data
Chronic care 80.8% no data
Gastrointestinal 80.2% no data
Labor and delivery or neonatal care 79.1% no data
Infectious or communicable disease 78.5% no data
Cardiac or cardiovascular care 76.9% no data
Critical care or intensive care matched 73.1% 17.6%
Emergency or trauma care matched 72.5% 20.7%
Pulmonary or respiratory 72.3% no data
General medical surgical matched 72.2% 18.1%
Orthopedics 71.1% no data
Telemetry no data 19.5%
Step Down no data 19%
Burn Center no data 17.5%
Women's Health no data 15%
Surgical Services no data 14.9%
Pediatrics no data 13.4%

Satisfied — share answering “extremely” or “moderately satisfied” about the primary nursing position held on 31 December 2021. HRSA Bureau of Health Workforce, NCHWA, 49,234 responses; weighted to all US licensed RNs. A probability sample: it is designed to represent all US registered nurses.

Turnover — annual RN turnover rate for that specialty, reported by 527 participating hospitals. Not a probability sample: it describes the hospitals that took part, not every hospital.

Satisfaction and turnover come from DIFFERENT sources measuring DIFFERENT populations by different methods — a federal probability sample of nurses, and a survey of 527 hospitals. Only 4 specialties are named closely enough by both to share a row; the rest show no data on one side rather than a guess. Do not read a row as one study.

Use this on your own site

Free under CC BY 4.0. The embed carries its own sources and denominators, so it still makes sense away from this page.

<iframe src="https://careerfieldnotes.com/embed/specialty/" width="100%" height="900" style="border:1px solid var(--panel);border-radius:10px" loading="lazy" title="Nurse job satisfaction and turnover by specialty — Career Field Notes"></iframe>

Part three · Where you do it

Same licence, different job

The building matters as much as the specialty. Hospital nurses are the least satisfied and the most likely to have considered leaving; outpatient nurses are the most satisfied and the least likely.

Outpatient, ambulatory and other clinical settings

88.6% satisfied with the job
52.7% have ever considered leaving nursing
23% retired, or plan to within five years

Non-patient-care settings

83.5% satisfied with the job
57.7% have ever considered leaving nursing
19.8% retired, or plan to within five years

Other inpatient settings

80.4% satisfied with the job
56.3% have ever considered leaving nursing
19.8% retired, or plan to within five years

Hospitals

77.2% satisfied with the job
65.4% have ever considered leaving nursing
15.1% retired, or plan to within five years

All three figures: HRSA Bureau of Health Workforce, NCHWA, reference date 31 December 2021, 49,234 responses; weighted to all US licensed RNs.

Part four · The first few years

The risk is front-loaded

22.7% of newly hired registered nurses leave within twelve months. The honest version of the question is not “will I like nursing for thirty years?” but “can I get through the first two, and where?”

Of every 100 nurses who left, how long had they been there?

Under 1 year 29%
1–2 years 21.9%
2–5 years 27.7%
5–10 years 10.5%
Over 10 years 10.8%

50.9% of all departures came from nurses with under two years of service.

$60,090 average cost to the hospital of replacing one staff RN
8.6% national hospital RN vacancy rate

Both figures explain why hospitals fund residencies and sign-on bonuses — the first year is expensive for them too.

These are two different measurements and must not be mixed. The 22.7% is a RATE: of nurses newly hired in the year, that share left within twelve months. The rest are SHARES OF EVERYONE WHO LEFT, which sum to 100% — so 29.0% means 29 of every 100 departing nurses had under a year of service, not that 29% of new nurses leave. No source publishes a turnover rate by experience band, so the widely repeated claim that first-year turnover runs about triple the five-to-ten-year rate cannot be checked and is not made here.

Part two · The actual job

What the work actually is

Strip away the recruiting language and the day is concrete: these are the tasks O*NET's occupational analysts record real nurses doing, ranked by how central they are to the job.

Loading the day-to-day…

Part three · In their own words

What keeps people in it

Themes from screened first-person accounts, ranked by how often they come up in this corpus when nurses talk about what's good — that is how often it is said here, not how common it is among nurses. Hover a bar to read a real voice behind the number.

What do the source badges mean?
  • Federal rulemaking comments Filed by name on the public record with a federal agency (e.g. the CMS minimum-staffing rule). Submitting false information is a federal offence, so these carry the most weight of anything here.
  • Congressional testimony Statements entered into the congressional record. Collected, but none currently appear in the displayed quotes.
  • Reddit forum Public posts and comments, anonymized. The largest share of what is shown — candid, but self-selected: people post when something is worth complaining about.
  • YouTube comments Public comments on nursing videos. Collected and used in the aggregate analysis, but not quoted verbatim on the site — so you will not see one of these as a quote.

Screened means two independent AI models had to agree the account is genuinely about this career, and every extracted answer must quote a verbatim sentence from the source or it is dropped. We do not verify anyone's identity or employment.

View the data as a table
Themes by number of screened first-person accounts mentioning them (satisfaction)
ThemeAccounts
School, NCLEX & licensure57
Pay & money49
Patients & meaning39
Respect & safety29
Flexibility & mobility25
Scheduling & hours22
Management & admin19
Burnout & stress16
Staffing & ratios13
Physical toll3

Counts are of screened accounts, not of people. They say what was discussed, never how common it is in the workforce.

Career Field Notes, "Themes by number of screened first-person accounts mentioning them (satisfaction)". Data as of August 22, 2026. https://careerfieldnotes.com/data/snapshots/2026-08-22/

Not enough screened answers yet to say how common this is.

These are self-selected people who chose to post publicly about their work, so how often something is said here is not how common it is in the workforce. How this was screened.

Part four · Read this twice

What they wish someone had told them

The most valuable sentences in this whole project. When nurses talk about regrets, warnings, and what they'd do differently, these are the themes — ranked by how often they come up in these screened accounts, not by what makes a tidy story. Frequency here means frequency in this corpus — not prevalence among nurses.

View the data as a table
Themes by number of screened first-person accounts mentioning them (regret)
ThemeAccounts
School, NCLEX & licensure63
Patients & meaning44
Pay & money39
Respect & safety38
Scheduling & hours30
Flexibility & mobility29
Burnout & stress27
Management & admin23
Staffing & ratios20
Physical toll6

Counts are of screened accounts, not of people. They say what was discussed, never how common it is in the workforce.

Career Field Notes, "Themes by number of screened first-person accounts mentioning them (regret)". Data as of August 22, 2026. https://careerfieldnotes.com/data/snapshots/2026-08-22/

Not enough screened answers yet to say how common this is.

These are self-selected people who chose to post publicly about their work, so how often something is said here is not how common it is in the workforce. How this was screened.

“I'm really quite nervous about the whole thing- I believe that I know exactly what I'm getting in to, how my life will change, how difficult nursing school is, etc., and would like to be the least blind-sighted as possible!” Reddit forum · r/StudentNurse · 2016
“The HCA one cared only about two things: Symptom improvement and keeping patients until their insurance ran out.” Reddit forum · r/PsychNursing · 2026

Not enough screened answers yet to say how common this is.

These are self-selected people who chose to post publicly about their work, so how often something is said here is not how common it is in the workforce. How this was screened.

Part five · The long arc

Is nursing satisfaction getting better or worse?

Average “would you choose it again?” score (1–10) from dated posts, by year written.

View the data as a table
Average “would you choose it again?” score by the year the account was written
YearAccounts scoredMean score (1–10)% scoring 7 or higher
2017310.0100.0%
201816.00.0%
2020110.0100.0%
202236.366.7%
202329.0100.0%
202411.00.0%
202565.766.7%
202678.071.4%

Years below the minimum of 50 scored accounts are listed here but are not plotted — too few to mean anything.

Source: AI-extracted satisfaction_score_would_choose_again from qualified rows, bucketed by real Reddit post timestamp (updated_at)

Career Field Notes, "Average “would you choose it again?” score by the year the account was written". Data as of August 22, 2026. https://careerfieldnotes.com/data/snapshots/2026-08-22/

The Reality Gap formula rg-v1
+9.6 percentage pointscorpus more negative

Public first-person accounts of nursing run 9.6 points more negative than the federal survey of nurses implies.

29.5% of applicable screened accounts scored negative 163 of 552 applicable · non-probability sample of public first-person posts
19.9% dissatisfied with their primary nursing position HRSA NSSRN 2022 (reference date 31 Dec 2021) · 49,234 responses, weighted; probability sample of US licensed RNs · source
The formula, and when this number would mislead you

Reality Gap = (negative share of applicable screened accounts) - (dissatisfied share of a representative survey)

163 / 552 = 29.5% negative, minus 19.9% dissatisfied = +9.6 percentage points

What it is not. Not a quality score and not a ranking. It describes a divergence between two accounts of the same job, not whether the job is good.

  • Read as a rating. A bigger gap does not mean a worse career.
  • Read as like-for-like. The survey measures how satisfied a PERSON is; the corpus measures how negative a PIECE OF WRITING is.
  • Read without the components. A moving gap can mean either side moved.
  • Read as prevalence. The corpus is self-selected and always will be.

Version rg-v1 · computed August 18, 2026 · what this measures

Part six · What the internet gets wrong

Online talk vs. representative data

80.1% of registered nurses said they were satisfied with their primary nursing position — 27.6% extremely, 52.5% moderately

HRSA National Center for Health Workforce Analysis · National Sample Survey of Registered Nurses (NSSRN), 2022 (reference date 2021-12-31). ~125,000 RNs/APRNs sampled; more than 49,000 responded. Brief covers the 3,459,209 nurses employed as RNs on 2021-12-31. Report published March 2024. Source, accessed 2026-08-14.

And it fell hard between 2017 and 2021

  • 40.2% → 27.6% extremely satisfied (-12.6 points)
  • 11.0% to 19.9% — nearly doubled — the share expressing any dissatisfaction
  • 78.7% satisfied at the bedside vs 87.6% away from it — patient-care roles fell 10 points, non-patient-care 2.7

82.3% of nurses in the same post for a year or more said they had felt burned out at some point, and 88.8% of those said it worsened during the pandemic. 55.9% considered leaving their position in the past year.

It depends enormously on where you work

  • 71.1%Orthopedics
  • 84.9%Psychiatric or mental health (incl. substance use disorders)

Satisfaction fell in 20 of 21 specialties. Steepest: Orthopedics (-16.3pp), Infectious or communicable diseases (-16pp), General medical surgical (-15.7pp). The only specialty that improved was Mental health (+1.2pp) — which is how it went from the least satisfied specialty in 2017 to the most satisfied in 2021: it barely moved while everything around it fell.

What this is for. These are representative surveys of the whole workforce: they answer how common. The accounts elsewhere on this page answer what specifically — what the bad shift looks like, what nobody warns you about. Neither substitutes for the other, and how often something is said in our corpus is never evidence of how common it is. A second representative anchor agrees on direction: 61.1% of nurses in the GSS said they were very satisfied, against 47.4% of all workers (n=42 nurses — suggestive, not precise).

What we could not verify
  • MedscapeNot yet researched in this session; Medscape reports typically sit behind a registration wall, which would make primary verification impossible under the no-evasion rule.
  • AMN HealthcareNot yet researched in this session.

Notably, "would you choose nursing again" is the figure people most want. We could not verify it from a primary published source, so it is not shown here. The site's own survey is being built to answer it with data we can stand behind.

Are you a nurse? Add your own answers — anonymous, every question optional, and it becomes data anyone considering this career can read.

Read nursing forums for an hour and you'd never become a nurse. Ask a representative sample of actual nurses and say they're very satisfied — more than the average worker. Both are real; they measure different things. People post when something's wrong, vent to strangers what they'd never say at work, and the algorithm feeds the dramatic. This site measures that distortion instead of pretending it away: every source below is sampled and scored, with its real sample size.

How negative is each source, really?

Share of AI-scored sampled items expressing a negative take on the career, per source. Dashed line: the share of GSS nurse respondents who were not “very satisfied” — the nearest published benchmark, and a looser bar than “negative”.

View the data as a table
Share of sampled items scored negative, by source
SourceSampledNot applicableNegative% negative
Federal testimony120115853.2%
SDN forum120772455.8%
Stack Exchange120431823.4%
YouTube comments120402430.0%
Blogs100262331.1%
Web pages (Common Crawl)1003122.9%
Podcasts100201215.0%
Hearings634515.6%

Percentages are of APPLICABLE items only — the not-applicable count is excluded from the denominator.

Source: This project's audited samples of public first-person accounts

Career Field Notes, "Share of sampled items scored negative, by source". Data as of August 22, 2026. https://careerfieldnotes.com/data/snapshots/2026-08-22/

The toll is real too

Honesty cuts both ways — the survey says most nurses are satisfied, and the injury numbers are serious:

The shifts

The corpus is full of it — the schedule is the thing people mention most after the work itself:

  • 12-hour shifts
  • nights
  • weekends
  • holidays

Read them in their own words: screened accounts filtered to scheduling.

Honest gap We don't hold structured shift statistics — what share of nurses actually work nights. That number isn't in our datasets, so we don't show one.

Part seven · Getting in

Every road to the license

The road, month by month

Four ways in, one license out. Pick a path — durations are typical, the pass rates are real medians from state-board data.

The default university route. Highest first-try pass median (92%) and the credential big hospital systems increasingly require.

  1. month 03–9 mo

    Deciding + applying

    Prerequisite check, TEAS/HESI entrance exam, applications. Competitive programs fill a year out.

    No verified quote for this stage yet — the pipeline adds them weekly.

  2. month ~648 mo

    University nursing program

    Prereqs are built into the four years. Clinicals ramp up from year two.

    No verified quote for this stage yet — the pipeline adds them weekly.

  3. month ~541–2 mo

    NCLEX-RN

    BSN programs' median first-try pass rate in our state-board data: 92%.

    No verified quote for this stage yet — the pipeline adds them weekly.

  4. month ~560–6 mo

    First RN job

    Most BSN grads report offers within about half a year; residency programs hire in cohorts.

    No verified quote for this stage yet — the pipeline adds them weekly.

≈ 4–4½ years from first prerequisite to working RN — same license at the end of every path.

What people said about each stage

Deciding to go

“Fell into nursing and it turned out to be what I spent so many years looking for.”
Reddit forum · r/nursing · 2026
“I became a nurse because I always wanted to be prepared for the worst and have the money to support my family.”
Reddit forum · r/nursing · 2026

Nursing school

“i’d skip the lpn and go straight for cc pre-reqs and rn”
Reddit forum · r/StudentNurse · 2026
“Went to CC for my ADN since I already have a bachelor. Got my ADN was hired as a community mental health case manager. Did that for 8 years. Got my MSN while working full time and studying part time.”
Reddit forum · r/PsychNursing · 2026

First job

“the way its set up, i can sit for my LPN next year, and get my associates 2 semesters later after that”
Reddit forum · r/college · 2022

Not enough screened answers yet to say how common this is.

These are self-selected people who chose to post publicly about their work, so how often something is said here is not how common it is in the workforce. How this was screened.

What each credential costs — and what graduates earn

Median in-state tuition per year vs. median earnings after graduating, by credential level. U.S. Dept. of Education College Scorecard, nursing programs.

View the data as a table
Nursing programs by award level: cost and post-graduation earnings
Award levelSchoolsIn-state tuitionOut-of-state tuitionMedian earnings after graduating
Undergraduate Certificate or Diploma202$5,280$11,595$79,255
Associate's Degree1,067$4,830$9,516$79,636
Bachelor's Degree1,097$16,503$25,648$85,012
Post-baccalaureate Certificate42$13,976$30,227$142,075
Master's Degree647$17,700$29,320$120,508
Doctoral Degree339$17,214$33,416$135,480
First Professional Degree336$18,034$33,174$133,644
Graduate/Professional Certificate417$17,811$31,555$132,194

Source: US Dept of Education College Scorecard

Career Field Notes, "Nursing programs by award level: cost and post-graduation earnings". Data as of August 22, 2026. https://careerfieldnotes.com/data/snapshots/2026-08-22/

Will it pay off for you?

A transparent calculator — every default is sourced, every assumption is a slider, and the whole formula is printed below it. Adjust it to your reality.

Loading calculator data…

How people actually pay for it

The debt numbers above assume you pay sticker price. Most nurses don't have to — these are the standing programs, with their real terms and official links. None of them are secrets; they're just never in the school brochure.

Many states run their own repayment programs on top of these — worth searching "[your state] nurse loan repayment". Military routes below carry their own full-ride paths.

The ladder above the license

RN is a floor, not a ceiling. Median pay at each rung — real BLS medians, employment-weighted.

The military routes most guidance counselors never mention

Part eight · The schools themselves

Look up an actual nursing school

Marketing pages won't tell you a program's real first-time NCLEX pass rate, what its graduates actually earn, or whether its accreditation is current. State boards of nursing, the U.S. Dept. of Education, and the two national accreditors publish all of it — just in places nobody looks. It's joined here, per school. Where two sources couldn't be matched with confidence, the profile says so instead of guessing.

Loading school data…
Part nine · Where the job is

The same license pays very differently by state

Sticker salaries lie in both directions: high-pay states are often high-cost states, and the states that will need nurses most in 2038 aren't the ones hiring loudest today. This map layers real (cost-adjusted) pay, the federal 2038 supply projections, and which states actually protect staffing ratios by law.

Loading state data…

Also considering…

Real BLS numbers for the careers people weigh against nursing. Want one covered next? The waitlist form asks.

Part ten · The robot question

Will AI take this job?

Measured, not speculated: the Anthropic Economic Index tracks how much real AI usage today maps onto each occupation's actual tasks. Nursing sits near the floor of the scale.

View the data as a table
Share of registered-nurse task time overlapping tasks AI is used for
MeasureValue
Task-time overlap with AI use5.9%

Source: Anthropic Economic Index, mapped to O*NET tasks for SOC 29-1141

Career Field Notes, "Share of registered-nurse task time overlapping tasks AI is used for". Data as of August 22, 2026. https://careerfieldnotes.com/data/snapshots/2026-08-22/

The same data, task by task.

tasks today's AI usage already maps onto the tasks that stay human
View the data as a table
O*NET registered-nurse tasks by measured AI overlap
TaskMeasured AI overlap
Monitor, record, and report symptoms or changes in patients' conditions.some
Administer local, inhalation, intravenous, or other anesthet…none measured
Administer medications to patients and monitor patients for reactions or side effects.none measured
Assess the needs of individuals, families, or communities, including assessment of individuals' home or work environments, to identify potential health or safety problems.none measured
Conduct specified laboratory tests.none measured
Provide health care, first aid, immunizations, or assistance in convalescence or rehabilitation in locations such as schools, hospitals, or industry.none measured
Provide or arrange for training or instruction of auxiliary…none measured
Record patients' medical information and vital signs.none measured
Refer students or patients to specialized health resources o…none measured
Work with individuals, groups, or families to plan or implement programs designed to improve the overall health of communities.none measured

Source: O*NET task statements for SOC 29-1141 × Anthropic Economic Index

Career Field Notes, "O*NET registered-nurse tasks by measured AI overlap". Data as of August 22, 2026. https://careerfieldnotes.com/data/snapshots/2026-08-22/

Dig into the raw voices

Filter every screened account by theme — pay, burnout, staffing, respect — and read the actual quotes.

Open the explorer

Sources & methods