Midwives
Midwives is available as a public career path. Start with interest fit before comparing options.
Quick decision
Start with fit and work structure before reading facts and next steps.
How to Decide Whether This Career Fits You
Interest structure
Does your RIASEC profile support exploring this path?
Assess interests before reading detailed career evidence.
Career profile
Read the definition, responsibilities, and context together instead of judging by title alone.
What Does This Career Do?
Midwives is a career direction page connecting career exploration with interest assessment.
Fit map
Midwives salary and outlook reference
China is shown only as a recruitment-market signal (about ¥3,000–30,000 per month), while US, UK, and EU references must be read within their source boundaries.
This asset does not use an official Chinese single-occupation median wage; official industry or unit statistics are macro context only.
China recruitment-market reference
about ¥3,000–30,000 per month
The China section uses passed recruitment-market evidence only. The current bounded reference for Midwives is about ¥3,000–30,000 per month; it is not an official occupation wage or personal salary prediction.
This is a China recruitment-market reference derived from platform samples, posting snippets, salary pages, or adjacent-role evidence; it is not an official Chinese single-occupation median wage.
- China figures are recruitment-market references only, not official occupation wages.
- Platform, city, experience, and adjacent-role boundaries can materially change offers.
US official reference
The US section uses official or public career evidence. Current median annual pay is $64,030; missing p25/p75 values remain null.
- My Next Move/O*NET captured median and low/high wage boundaries for this pass; p25/p75 and annual openings are left null because CareerOneStop/BLS OEWS percentile extraction was not captured in this row.
- p25 is not filled because the passed evidence ledger did not capture an official p25 value from OEWS or CareerOneStop.
- p75 is not filled because the passed evidence ledger did not capture an official p75 value from OEWS or CareerOneStop.
UK reference
The UK section uses a National Careers or audited adjacent profile. Starter is £32,000; experienced is £48,000.
- UK National Careers midwife is a direct UK profile and should not be converted into China salary.
EU context boundary
The EU section is macro context only and must not be read as a unified European occupation salary.
- Macro context only; not an occupation-level or unified EU salary reference.
- EU evidence is macro/regional context only and must not be presented as an EU occupation-specific salary.
Salary drivers
- Role boundary: For Midwives, role boundary and SOC alignment are the primary drivers of salary references.
- Location and employer type: For Midwives, city tier, industry, and organization type can shift sample ranges.
- Experience and qualifications: For Midwives, tenure, certifications, and role responsibility depth frequently shape mid and upper range levels.
- Work pattern: For Midwives, workload, shift pattern, and risk level influence practical compensation outcomes.
- Boundary check: For Midwives, verify title adjacency and role comparability before applying peer references.
How to read this
- Confirm the exact Midwives role scope before using any salary range and avoid combining adjacent definitions.
- The China Midwives figures are recruitment-market samples only, not official occupational wages or personal income forecasts.
- US/UK/EU values are separate contexts and should not be rewritten as fixed compensation promises.
- Compare Midwives by location, employer type, tenure, workload, and responsibilities before applying sample ranges.
Sources
- CN: Liepin
- CN: BOSS Zhipin
- CN: Liepin
- US: My Next Move
- UK: UK National Careers
Next: verify fit with FermatMind tests
A career page can explain what the role is; assessment results help you check whether the work structure fits you over time.
Step 1
Start with career interests
Use Holland / RIASEC to check whether your interest pattern fits this type of work.
Measure my career interestsStep 2
Then check work style
If you already have MBTI or Big Five results, use them to compare communication style, stress patterns, and collaboration preferences.
View personality-career fitStep 3
Finish with real-world validation
- Start the interest test - Save your result before comparing adjacent careers.
Risks and change
AI Impact
5/10
AI task exposure
FermatMind rates Midwives at 5/10 because exposure concentrates in “Organize obstetric history, prenatal results, fetal movement, blood pressure, glucose, and prior risk factors for further assessment” and “Draft individualized education around breastfeeding, postpartum follow-up, and family support.” AI can speed preparation, but adoption still depends on business context, exception judgment, delivery quality, stakeholder explanation, and final adoption responsibility.
Workflows AI may accelerate
- Midwives input review: “Organize obstetric history, prenatal results, fetal movement, blood pressure, glucose, and prior risk factors for further assessment” is exposed because it turns scattered inputs into reviewable work material; the occupational value is finding why exceptions matter.
- Midwives exception triage: In “Draft individualized education around breastfeeding, postpartum follow-up, and family support,” AI can compare, sort, or summarize candidate evidence, while the worker decides what to accept, reject, or escalate.
- Midwives draft boundary: “Structure delivery notes, labor progress, medication, bleeding, and newborn observations for professional review” may begin as a machine-assisted draft; it becomes usable only after evidence, exceptions, and tradeoffs are attached.
Human accountability anchors
- Midwives durable moat: The hard part is business context, exception judgment, delivery quality, stakeholder explanation, and final adoption responsibility; that is what keeps tool output from becoming final work by itself.
- Accountable judgment: When “Summarize referrals, consults, critical values, and team handoffs to reduce maternal-infant safety gaps” creates disagreement, the worker must document standards, escalation triggers, and final responsibility.
How to prepare
- Portfolio evidence: Turn “Organize obstetric history, prenatal results, fetal movement, blood pressure, glucose, and prior risk factors for further assessment” into a project sample, workflow record, exception list, and delivery review that shows inputs, review criteria, exception examples, and the final deliverable.
- Toolchain evidence: Build a small workflow around “Draft individualized education around breastfeeding, postpartum follow-up, and family support” using spreadsheets, record systems, report templates, and version comparisons, with version differences, review steps, and outcome notes.
- Fit reflection: Midwives fits better if you can keep reviewing “Structure delivery notes, labor progress, medication, bleeding, and newborn observations for professional review” and explain exceptions; it fits poorly if you only want quick output.
View public sources used for this AI impact estimate
- O*NET OnLine summary for Midwives
- BLS Occupational Outlook Handbook context for Midwives
- Pew Research Center O*NET AI exposure methodology
- GPTs are GPTs task-exposure research
- ILO Generative AI and Jobs global analysis
FAQ
Is this page a strong recommendation?
No. It is an exploration entry point; strong recommendations need more personal data.