Payroll and Timekeeping Clerks

Payroll and timekeeping clerks collect employee attendance, hours, and pay adjustment data, verify the basis for absences, overtime, or deductions, enter data into the payroll system, review discrepancies, and produce pay statements and period-end reports. The post usually works to a payroll cycle, and payments and policy decisions follow the employer's authorization chain.

O*NET 43-3051.00 lists tasks such as verifying attendance hours, computing wages and deductions, processing pay statements, maintaining employee information, and period-end reconciliation; the BLS 43-3051 row provides 2025 employment, the pay median, and the 2025—2035 projection. Tasks and the statistical period cannot be conflated.

Work setting | Mostly in an office using payroll and timekeeping systems and handling restricted employee data. Precision requirements | Verify hours, rates, pay adjustments, deductions, and periods person by person, keeping the original evidence. Information access | Involves personal information such as pay, identity, and accounts, accessed by permission and kept from disclosure. System operation | Enter, export, and compare payroll data; system output still requires human review. Collaboration partners | Employees, supervisors, human resources, finance, and tax or benefits professionals. Deliverables | Pay statements, discrepancy lists, period-end reconciliation, and change records. Time pressure | Payroll cutoffs and payment dates are fixed, but reviews cannot be skipped when authorization is missing. Exception handling | Hour conflicts, duplicate deductions, or prior period errors require pausing the affected records and escalating. Authority boundaries | Clerks prepare and verify data, while policy interpretation, tax decisions, and disbursement follow the target jurisdiction and employer authorization.

First confirm the pay period, employee list, hours source, rate version, approved adjustments, and deduction rules; when original evidence or supervisor confirmation is missing, list the item as to be verified rather than guessing.

Exact BLS 43-3051: about 159,600 employed in 2025 and a projected 134,300 in 2035, an official net decrease of about 25,400 or 15.9%, with annual average openings of about 11,400 including replacements. The May 2025 pay median is 58,260 dollars. The employment endpoints and the net change are rounded independently, and subtracting them cannot rewrite the official net change as 25,300; the overall projection is not an AI or individual unemployment probability.

Receive attendance and personnel changes → verify hours and approval records → compute wages and deductions → review discrepancies → hand to the authorized person for payment approval → keep pay statements, reconciliation, and correction records.

In China, for administrative tasks that may include attendance and payroll records, a conditional reference is the 2025 above-scale enterprise figure of 94,936 yuan per year for clerical and related personnel (a pre-tax broad job average). This is not pay for this occupation or for all urban units; whether the employer is above scale, the actual job classification, and the industry must be verified separately, and not all payroll clerks are automatically assigned to leasing and business services.

Before payment, verify the relationship among employee identity, pay period, total hours, rates, adjustments, deductions, and net amounts; for unapproved changes, duplicate records, or unbalanced accounts, pause the item and send it to the supervisor for review.

Comparable directions include human resources assistants, bookkeeping and accounting clerks, general office clerks, and payroll supervisor roles; tasks overlap, but employee data permissions, accounting duties, and final payroll approval must be verified separately.

Verify the employee list and period → gather attendance → validate rates and adjustments → compute gross pay and deductions → reconcile and handle discrepancies → hand off for approval → issue pay statements and file.

The main risks are payroll computation or hours entry errors, personal data leaks, unapproved changes, and delayed payments; implement separation of duties, double review, and change records per employer systems, and verify specific legal and tax requirements under the applicable jurisdiction.

Record handoff direction: keep data versions, attendance sources, rate evidence, approvers, discrepancy handling, and payment status; allow access only to authorized personnel, and never use employee data as public exercise material.

The table below compares payroll and timekeeping clerks with human resources assistants: the former focuses on hours, wages, deductions, and period-end reconciliation, while the latter handles recruitment, employee files, and HR processes more broadly. Compare actual tasks and system permissions, and do not infer disbursement authority from the title.

Human resources assistants: assist with recruitment, employee records, onboarding and offboarding paperwork, and HR matters.

Payroll and timekeeping clerks: verify attendance, hours, pay adjustments, and deductions and produce pay statements and discrepancy records.

Human resources assistants: handle personnel matters based on HR policies, employee files, and supervisor instructions.

Payroll and timekeeping clerks: process payroll data based on the pay cycle, original attendance records, rates, and authorized adjustments.

This occupation compiles and verifies employee time and pay data, may compute wages and deductions, maintains payroll records, and handles discrepancies. The deliverables are re-checkable pay statements, reconciliation, and correction records; O*NET 43-3051.00 is a US occupational classification and does not set Chinese employer authorization.

Human resources assistants: receive personnel changes—verify files—process HR forms—update records—hand off.

Payroll and timekeeping clerks: receive attendance—verify hours and rates—compute and review—handle discrepancies—reconcile and hand off.

Human resources assistants: employee files, onboarding and offboarding forms, and personnel matter status.

Payroll and timekeeping clerks: attendance and payroll records, discrepancy lists, pay statements, and period-end reconciliation.

Human resources assistants: responsible for approved HR records and processes and escalate labor policy interpretation beyond their authority.

Payroll and timekeeping clerks: responsible for data entry, computation, review, and confidentiality; payroll policy, tax decisions, and payment approval rest with authorized personnel.

Human resources assistants: HR system permissions and policy training are set by the employer's post.

Payroll and timekeeping clerks: verify payroll system permissions, reviewers, approvers, and the employee query handling path.

Human resources assistants: employee data and process communication experience transfers, but payroll computation and reconciliation must be learned.

Payroll and timekeeping clerks: used to compare task boundaries and does not judge promotion, hiring, or mutual recognition of Chinese qualifications.

Before an interview, verify the actual pay cycle, data sources, system permissions, and exception responsibility item by item, and do not replace employer systems with the examples on this page.

Verify the attendance source, payroll system, employee headcount, processing cycle, and historical data migration.

System permissions: who may enter, correct, review, approve, and finally disburse payroll.

Ask who provides and signs off on the basis for base pay, hourly pay, overtime, leave, commissions, and retroactive adjustments.

Rule boundaries: who interprets taxes, social insurance, benefit deductions, and labor policy.

Verify the handling process for attendance conflicts, duplicate records, negative net amounts, or bank reconciliation differences.

Exception escalation: which items pause payment and who approves corrections and resuming work.

Ask how employee pay queries, back pay, reversals, and historical corrections are recorded.

Employee communication: who may answer payroll questions and how identity is verified when sensitive data is involved.

Verify the retention and access permissions for pay statements, original attendance records, and bank reconciliation.

Privacy boundaries: the access and retention of personal information, account data, and report exports.

Verify monthly or biweekly cutoffs, statutory holidays, batch changes, and review time.

Cycle pressure: the deferral, to-be-verified, and escalation arrangements when material is missing before the cutoff.

The table below compares four adjacent office and financial clerk occupations with two task directions within this post. The common point is records and review, and the differences lie in objects such as payroll, personnel files, accounts, and customer billing plus approval authority. Judge by real tasks, data permissions, and training conditions, and do not change roles automatically from titles.

The first four rows reference the O*NET human resources assistant, bookkeeping and accounting clerk, billing clerk, and general office clerk profiles respectively; the last two rows are the attendance verification and payroll processing internal processes of this occupation. Adjacent occupations do not guarantee a job change, and Chinese qualifications and permissions must be verified separately.

When comparing, verify the object: employee attendance and pay, personnel files, accounting ledgers, customer billing, or general documents; also verify system permissions, reviewers, and result users. The last two rows are internal tasks of 43-3051 and are not separate occupational codes.

Human resources assistants maintain employee files, onboarding and offboarding material, and HR forms; payroll and timekeeping work focuses more on hours, wage computation, and period-end reconciliation. Employee information experience transfers, and payroll rules must be learned.

Suits people who want to handle broader personnel data, onboarding and offboarding, and employee communication; if you prefer numerical review and periodic settlement, compare the payroll and timekeeping direction.

Receives and updates employee data, organizes HR forms, and provides records to authorized personnel.

Human resources assistants

Bookkeeping and accounting clerks handle broader ledgers, receipts and payments, and financial records; payroll reconciliation experience transfers, but account classifications, statements, and audit requirements must be learned.

Suits people willing to expand into full financial bookkeeping, vouchers, and reconciliation; accounting system permissions must be verified.

Classifies and records daily financial transactions and verifies vouchers, balances, and accounting records.

Bookkeeping, accounting, and auditing clerks

Billing clerks handle customer bills and receivables records, and the data review is similar; the object is customer charges, not employee wages and benefit deductions.

Suits people willing to work with customer receivables, expense details, and invoice errors; customer contracts and billing rules must be added.

Computes and records amounts receivable, prepares bills or invoices, and corrects billing data discrepancies.

Billing and posting clerks

General office clerks cover documents, telephone, data entry, and many other matters; payroll and attendance confidentiality, review, and payment cycles are more specialized.

Suits people learning office records, communication, and document processes first; entering a payroll post requires adding wage computation and permission management.

Maintains documents, handles general administrative records, and assists with daily office matters.

General office clerks

The attendance and hours direction within this occupation: verify attendance, leave, overtime, and supervisor confirmation, handle cross-period or duplicate records, and do not approve payroll policy independently.

Suits people willing to trace original time records, check conflicts with supervisors, and keep a change trail.

Produces verified hours records, exception lists, and pending adjustment handoffs.

Attendance and hours verification direction

The wage computation and period-end reconciliation direction within this occupation: compute amounts from approved rates and adjustments, review pay statements and discrepancies, and hand to authorized personnel for payment.

Suits people who can continuously compare numbers, versions, and deduction evidence and protect sensitive employee data.

Produces pay statements, discrepancy explanations, period-end reconciliation, and correction records.

Wage computation and reconciliation direction

Complete a discrepancy list with fictional hours and pay data first, then verify the target employer's pay cycle, system permissions, review chain, and confidentiality requirements; the comparison directions are for occupational exploration only and are not automatic promotion.

People just entering the field or preparing to change jobs

Practice paper verification of attendance, rates, pay adjustments, and deductions first; digital tools only assist organizing fictional data.

Incumbent payroll clerks

Approved tools can be trialed to compare forms and flag anomalies, but pay statements, net amounts, and employee data must be reviewed against original records.

Payroll supervisors and finance approvers

Define tool input permissions, human review points, error handling, and final disbursement authorization.

Job seekers and trainers

Show fictional work in hours computation, discrepancy lists, and permission judgments; AI experience does not equal payroll approval qualifications.

Evidence gap: no actual generative AI adoption, overall substitution rate, reliable time saving effect, or substitution year for this occupation was verified. O*NET tasks include verifying attendance, payroll deductions, pay statements, and period-end reconciliation; document search, table comparison, and anomaly flagging are conditional editorial trial suggestions, and sensitive information, taxes, discrepancies, and payments still require authorized review. The BLS2025 —2035 decline of 15.9%, the net decrease of about 25,400, and the annual average of about 11,400 openings including replacements are an overall projection and do not prove generative AI causation alone, Chinese demand, or an individual unemployment probability.

O*NET 43-3051.00 occupational profile

Defines attendance, payroll, deduction, and reconciliation tasks and provides no AI substitution rate.

BLS 43-3051 exact occupational row

Provides US 2025 employment and the 2025—2035 projection and does not prove AI causation alone.

ILO generative AI occupational exposure study

Estimates potential exposure by task and is not this occupation's actual tool adoption rate.

GPTs are GPTs task potential study

Estimates language model task impact and does not predict deployment dates in payroll departments.

World Economic Forum 2025 employer survey

Cross-industry employer expectations cannot be treated as actual results for this occupation.

NIST generative AI risk management material

Used to identify data, output, and responsibility risks and does not replace a payroll approval system.

O*NET work activities for this occupation

Record processing, computation, review, and employee communication still require organizational authorization.

AI can assist organizing attendance sheets, finding version differences, and drafting explanations; payroll computation and payment still follow real data, employer rules, and human review.

Attendance and rate files: tools can flag missing fields and version differences.

Clerks and supervisors must verify the original time cards, rates, and approval periods.

Pay statements and discrepancy records: tools can aggregate items to be verified.

Reviewers must check gross pay, deductions, and net amounts and correct system transcription errors.

Employee queries: tools can draft an explanation framework.

Authorized personnel verify the individual's records, policy basis, and disclosable scope before answering.

The following materials answer different questions: occupational tasks, potential AI exposure, employer expectations, risk management, and employment projections cannot replace one another.

The ILO exposure index gives no actual substitution rate for this occupation.

ILO generative AI exposure study

Potential exposure of occupational tasks worldwide.

Document and data tasks may be affected and this does not mean payroll approval is automated.

Language model research does not predict organizational adoption timing.

GPTs are GPTs paper

Task capability potential.

Table and text processing can assist, but personal data and payments require institutional verification.

The employer survey reflects future expectations.

World Economic Forum Future of Jobs Report 2025

Cross-industry employer expectations about skills and jobs.

It cannot quantify job changes that have already occurred in this occupation.

A general framework does not replace a payroll system.

NIST generative AI risk management material

Generated content, sensitive data, and responsibility risks.

Tool output requires input versions, reviewers, and error handling.

Occupational task material contains no AI effects.

O*NET 43-3051.00

Attendance verification, wage computation, deductions, reconciliation, and employee inquiries.

Occupational tasks cannot be accepted from automatically generated text alone.

Tool capability: can organize forms and flag discrepancies and cannot confirm statutory deductions or actual wages from generated text.

Organizational adoption: requires employee data permissions, system interfaces, approval systems, training, and review; a demonstration does not equal deployment.

Employment results: affected by employer processes, outsourcing, software, and the economic cycle; task exposure cannot derive an unemployment year.

Evidence gap: no actual AI adoption, overall substitution rate, or substitution year for payroll and timekeeping clerks was verified; data and payment responsibility cannot be quantified from potential task exposure.

O*NET tasks and the ILO exposure methodology.

Learn attendance, wage computation, discrepancy review, and confidentiality first; programming is not a typical BLS entry threshold.

O*NET tasks and the BLS financial clerk entry path.

Form comparison, document search, and initial anomaly screening can be trialed on a small scale; this is an editorial suggestion, and errors and benefits must be verified on institution-approved material.

Evidence gap: no reliable time savings, error rates, pay, or employment effects from AI trials in this occupation were verified; form tool trials are only an editorial suggestion.

BLS expects a 15.9% employment decline for this occupation over 2025—2035, which cannot be attributed entirely to generative AI.

BLS 43-3051 exact occupational projection.

No. AI cannot approve payroll policy, deduction changes, or payments on its own.

O*NET tasks and organizational authorization boundaries.

No reliable evidence can give an overall substitution year; task exposure research does not forecast adoption schedules.

ILO and research paper bases plus the BLS basis.

Learn original record verification, computation, reconciliation, and employee data protection first, then learn approved tools.

Editorial suggestion based on O*NET tasks.

AI-assisted output must be kept separate from real attendance, payroll policy, employee information, and authorized approval.

Confirm the need: record the payroll cycle, data version, rates, approved adjustments, and items to be verified.

Limit inputs: use only institution-permitted tools and shareable fictional or de-identified material, and do not upload a real full payroll.

Human review: compare each person's time card, rates, adjustments, and deduction basis and independently recompute key amounts.

Record keeping: keep data versions, tool suggestions, reviewers, discrepancies, and correction results.

Authorization and responsibility: policy interpretation, deduction applicability, payroll approval, and payment are decided by organization-designated personnel.

A tool may miss cross-period attendance or unapproved rate adjustments.

Treat output as a to-be-verified checklist and check back against time cards and approval records.

Uploading the full payroll and account data may leak employee privacy.

Limit data and tool permissions per employer and jurisdiction requirements.

An old rule version may be misapplied to a new payroll cycle.

Record rule effective dates and have supervisors verify changes.

Automated transcription of hours or decimal points may cause wage errors.

Independently recompute key employees and anomalous amounts.

A tool cannot bear responsibility for payments and employee appeals.

Designate reviewers and approvers, and pause affected items while discrepancies are unclear.

Verify original attendance and supervisor confirmation.

Attendance data collection

Payroll preparation

Can flag missing or duplicate items and does not determine actual hours itself.

Confirm rate versions and authorized adjustments.

Payroll rule verification

Data preparation

Can compare document differences and does not interpret legal policy.

Recompute gross pay, deductions, and net amounts.

Wage computation

Numerical processing

Can assist with draft calculations, and key results require independent review.

Verify pay statements, historical adjustments, and balances.

Discrepancies and reconciliation

Review work

Can flag unbalanced items and does not change the books directly.

Explain verified items to employees within permission.

Employee payroll inquiries

Communication work

Can draft explanations and must not disclose others' data.

The approver decides payments and corrections.

Payment handoff

Authorization work

Can organize approval material and cannot approve payment.

Pause the item and escalate when abnormal.

Exception handling

Risk control

A tool can prompt check steps and cannot approve bypassing review.

Actual value depends on available data permissions, payroll systems, and human review. When job seeking, prioritize showing attendance computation, discrepancy explanations, and confidentiality judgment work.

Clerical and related personnel broad job reference

Payroll and attendance records are administrative and clerical work; the NBS broad job definition includes such work. It applies as a reference only when duties and the above-scale enterprise statistical scope match, does not establish a one-to-one Chinese occupation for 43-3051, and does not assign all posts to a single industry.

Mainland China nationwide

A nationwide above-scale enterprise broad job reference, not a specific city, employer, or individual quote.

2025

Statistical year 2025, published in May 2026; the exact occupational pay and percentiles remain gaps.

Yuan per year, pre-tax

The 94,936 yuan figure is a full-year average and is not divided by 12 to pass as a current recruiting monthly salary; it includes withheld personal income tax, personal social insurance, and housing fund.

Average annual wage of clerical and related personnel

The broad job covers administrative, clerical, and other office work and mixes multiple occupations; it is not the payroll and timekeeping clerk median or new-hire income.

Employed persons in related posts at above-scale enterprises

Counted as legal entities in 16 industry categories meeting the specified above-scale or qualification and quota thresholds; it is not all urban units with 5 or more people, and certainly not the total for government agencies, public institutions, or self-employed individuals.

An average, not this occupation's quintiles

Evidence gap: no comparable Chinese quintiles, city pay, in-house or outsourced payroll post data, differences by system permission and workforce size, or current quotes under the same conditions were verified for this occupation.

A conditional broad job comparison that does not specify the employer industry

Evidence gap: China has no occupational pay distribution comparable to 43-3051 or publicly available contract terms for this occupation. A broad job average requires verifying real duties and the enterprise statistical scope and cannot prove individual pay.

Evidence gap: no Chinese statistic on AI adoption, time savings, or pay effects for payroll and timekeeping clerks was verified. Trialing data entry and comparison tools cannot imply personal income or employment causation.

This page publishes no unverified recruiting quotes. When job seeking, keep the original notice and verify the pay cycle, attendance system, workforce size, approval permissions, confidentiality requirements, region, and pay unit.

High school or equivalent education background

Attendance records and payroll data support direction

Start with data entry, table verification, and confidentiality rules; actual education and training requirements should be verified with the target employer and region.

Vocational education or finance and HR training

Payroll systems, labor affairs, and reconciliation training direction

Build experience through supervised attendance verification, wage computation, and discrepancy handling; the BLS US typical education path is not a uniform Chinese threshold.

Higher education or specialized study

Finance, human resources, and data analysis direction

Additional study helps understand payroll policy, statistics, and information security but does not automatically grant payroll approval authority.

Experience path (not education)

Transfer from personnel records, financial clerk, or attendance posts

Record and reconciliation experience transfers, and the employer's payroll system, system permissions, and local tax rules must still be verified.

In-house payroll teams in various industries

Employers may have internal payroll and timekeeping posts; an industry average wage does not represent that post's quote.

Payroll outsourcing and administrative support services

Outsourced services have different data handoff and permission boundaries, and post pay is verified against the specific contract.

Public and educational institution payroll support

Institutions may differ in payment cycles and approval rules, and recruiting conditions and quotes must be verified item by item.

BLS 43-3051 exact occupational pay and employment data | https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm

Evidence status of Chinese payroll and timekeeping clerk pay

2025 above-scale enterprise clerical and related personnel 94,936 yuan per year (pre-tax broad job average)

The reference must match administrative duties and the real employer's enterprise statistical scope; the education and experience table is an editorial learning direction, not a uniform qualification. City, in-house versus outsourced, system permissions, workforce size, shifts, and contract quotes must be verified separately.

National Bureau of Statistics 2025 pay and basis | https://www.stats.gov.cn/sj/zxfb/202605/t20260515_1963707.html

The 94,936 yuan figure is an average of various clerical posts at above-scale enterprises, not payroll and timekeeping occupational pay or a monthly salary. A single industry such as leasing and business services cannot be mapped automatically to cross-industry in-house payroll teams, and the US figure of 58,260 dollars cannot be converted to fill in.

Above-scale enterprise clerical and related personnel (2025)

94,936 yuan per year (pre-tax broad job average)

Actual duties and the employer's statistical scope

Various posts such as administrative affairs; limited to above-scale enterprises, not all urban units

Payroll and timekeeping occupation, city, and employer quotes

Evidence gap: occupational quintiles, city rows, comparable pay by in-house or outsourced status and system permissions and workforce size, current quotes, and public contract terms have not been verified.

Exact Chinese occupational pay remains missing; the 94,936 yuan annual value is only an above-scale enterprise broad job reference, not the average for this occupation or a recruiting quote.

National Bureau of Statistics 2025 pay and basis | https://www.stats.gov.cn/sj/zxfb/202605/t20260515_1963707.html

A decline of about 15.9% over 2025—2035 (net decrease of about 25,400)

58,260 dollars per year

BLS exact 2025—2035 projection for this occupation | https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm; BLS financial clerks occupational outlook (including the 43-3051 row) | https://www.bls.gov/ooh/office-and-administrative-support/financial-clerks.htm; O*NET this occupation's 2025 pay percentiles (citing BLS) | https://www.onetonline.org/link/localwages/43-3051.00

39,500 dollars per year (10th percentile)

10th percentile annual pay of 39,500 and hourly wage of 18.99 dollars; not new-hire starting pay.; O*NET this occupation's 2025 pay percentiles (citing BLS) | https://www.onetonline.org/link/localwages/43-3051.00; BLS this occupation's exact 2025—2035 projection | https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm

47,990 dollars per year

25th percentile annual pay of 47,990 and hourly wage of 23.07 dollars; not an experience grouping.; O*NET this occupation's 2025 pay percentiles (citing BLS) | https://www.onetonline.org/link/localwages/43-3051.00; BLS this occupation's exact 2025—2035 projection | https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm

58,260 dollars per year

Median annual pay of 58,260 and hourly wage of 28.01 dollars; not an arithmetic mean, after-tax pay, or a parent category wage.; O*NET this occupation's 2025 pay percentiles (citing BLS) | https://www.onetonline.org/link/localwages/43-3051.00; BLS this occupation's exact 2025—2035 projection | https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm

69,600 dollars per year

75th percentile annual pay of 69,600 and hourly wage of 33.46 dollars; not a fixed job grade.; O*NET this occupation's 2025 pay percentiles (citing BLS) | https://www.onetonline.org/link/localwages/43-3051.00; BLS this occupation's exact 2025—2035 projection | https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm

81,350 dollars per year (90th percentile)

90th percentile annual pay of 81,350 and hourly wage of 39.11 dollars; not the maximum wage ceiling.; O*NET this occupation's 2025 pay percentiles (citing BLS) | https://www.onetonline.org/link/localwages/43-3051.00; BLS this occupation's exact 2025—2035 projection | https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm

About 159,600 people (2025)

2025 employment of 159.6 thousand and 134.3 thousand in 2035; employment includes self-employed workers at 1.8%, while OEWS wages exclude self-employment, so they are not the same survey sample.; O*NET this occupation's 2025 pay percentiles (citing BLS) | https://www.onetonline.org/link/localwages/43-3051.00; BLS this occupation's exact 2025—2035 projection | https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm

A decline of about 15.9% (2025—2035)

Official net change of −25.4 thousand and a 15.9% decline; the employment endpoints and the change are rounded independently, and subtracting the two endpoints cannot be used to change it to 25.3 thousand. The OOH exact occupational figure of −16% is rounding.; O*NET this occupation's 2025 pay percentiles (citing BLS) | https://www.onetonline.org/link/localwages/43-3051.00; BLS this occupation's exact 2025—2035 projection | https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm

About 11,400 per year (including replacements)

Annual average openings of 11.4 thousand, about 11,400, including growth and separation replacements, not net new jobs or current openings. The OOH combined financial clerks group figure of 88,000 cannot be transplanted; EP43-3000 is a different, broader parent group.; O*NET this occupation's 2025 pay percentiles (citing BLS) | https://www.onetonline.org/link/localwages/43-3051.00; BLS this occupation's exact 2025—2035 projection | https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm

US 43-3051 pay and employment projections serve only as US occupational statistical reference; Chinese pay and employment must be verified separately by local occupation, region, time, and unit.

The US 43-3051 May 2025 nationwide annual wage percentiles of 39,500, 47,990, 58,260, 69,600, and 81,350 dollars are a paid employee distribution, not new-hire starting pay or an individual contract. Employment goes from 159.6 to 134.3 thousand between 2025 and 2035, an official net of −25.4 thousand and −15.9%, and independent rounding cannot change the net change; annual average openings of 11.4 thousand include replacements. EP employment includes 1.8% self-employed workers and is not the OEWS wage sample; the older O*NET 2024 employment of 161,100 and the 2024—2034 annual average of 13,000 openings are a historical period and cannot be mixed with the current one.

The BLS employment projection and the OEWS wage survey are different programs; the employment count cannot be treated as the wage sample size.

Statistical coverage and program differences

The O*NET wage page lists both annual and hourly pay percentiles, and the standard statistical basis does not guarantee an individual's hours or take-home income.

Hourly and annual pay basis

Region, employer, payroll system duties, shifts, and payment cycles may affect specific contract quotes; this page quantifies no single factor's effect.

Conditions affecting actual income

A decline of about 15.9% over 2025—2035 (net decrease of about 25,400)

Professional, scientific, and technical services

Evidence gap: no 2025 pay for this occupation in that industry was verified

The BLS parent category financial clerks industry pay cannot be treated as an exact 43-3051 occupational value.

Administrative and support services

Evidence gap: no 2025 pay for this occupation in that industry was verified

Outsourced payroll services may exist, but this page does not derive industry pay from the parent table.

Health care and social assistance

Evidence gap: no 2025 pay for this occupation in that industry was verified

Employer payment cycles and post duties differ, and quotes require the real notice.

Public and education sectors

Evidence gap: no comparable industry value

The nationwide median is not split into unverified department quotes.

No. The 58,260 dollars is the US 43-3051 nationwide annual pay median in May 2025 and does not represent new-hire starting pay.

No. The published hourly and annual wages are a survey statistical distribution, and an individual's take-home amount is affected by hours, benefits, deductions, and the employer's contract.

The exact BLS occupational row gives the median wage, employment, and projection; the O*NET wage page reproduces the BLS 2025 10th, 25th, 50th, 75th, and 90th percentiles for this occupation.

Evidence gap: no comparable quantified effect of region, employer, system duties, shifts, and payment cycles on pay for this occupation was verified; nationwide percentiles cannot derive causation or an individual quote.

58,260 dollars per year

The 10th percentile is 39,500 dollars per year, a statistical position at the lower end of the US paid pay distribution; it is not new-hire starting pay, and individual ability cannot be judged from it.

The median of 58,260 dollars per year marks the midpoint of this occupation's pay distribution; it is not an average, after-tax income, or an individual income guarantee.

The 90th percentile is 81,350 dollars per year, an upper-end distribution position that says nothing about that person's seniority or system permissions and does not guarantee an individual can reach it.

If you enjoy organizing data, verifying hours and pay on a payroll cycle, and tracing inconsistencies, you can verify the interest with a fictional payroll sheet exercise; interest is not an ability ceiling or an employer hiring standard.

The O*NET interest profile for this occupation is mainly C Conventional; the scores describe occupational tasks, not an individual assessment result.

If you are unwilling to handle sensitive employee data, repeated numerical verification, or fixed cutoffs, learn the real work pace and confidentiality duties first.

Big Five scores alone cannot determine competence; payroll data accuracy, review, and anomaly escalation are more observable.

A personality model, not a hiring standard.

Do not treat a conscientiousness label as specific system operating capability; training, supervision, and data quality are more direct.

The O*NET primary interest code is CE, Conventional 100 and Enterprising 39; the detail separately lists Social 15, which is not the third main type. It describes occupational tasks rather than an individual passing line.

MBTI describes preferences and does not prove payroll computation, information confidentiality, or employee communication capability; use fictional task work instead of type judgment.

Daily work requires verifying attendance, rates, and deductions, explaining discrepancies, maintaining records, and handing off payroll payments under authorization.

For self-reflection only, not occupational prediction.

CE

C Conventional, E Enterprising; primary interest code CE

MBTI type cannot be used to exclude applicants or to waive confidentiality training or review.

The Enneagram does not prove fit for the post; it can be used to observe whether someone skips verification, hides errors, or changes amounts unilaterally under deadline pressure.

Self-reflection only, not a fit conclusion.

Explaining payroll errors with personality type obscures data quality, rule versions, and approval systems.

This occupation requires verifying hours, rates, deductions, net amounts, and periods, but there is no uniform IQ threshold; these numerical and tabular skills can be trained.

O*NET skills and numerical tasks.

Treating math ability as the only threshold is inaccurate; what matters is recomputing, checking the basis, and flagging uncertain amounts.

An emotional intelligence score is not a hiring standard; what is observable is explaining discrepancies clearly to employees and supervisors while protecting others' privacy.

O*NET communication and payroll tasks.

A friendly manner cannot replace payroll review, separation of duties, and confidentiality discipline.

Assessments can raise exploration questions and cannot decide payroll system permissions, hiring, or career fate; this page provides no individual fit score.

Use a fully fictional three-person attendance and payroll sheet to verify hours, rates, and approval records and produce a discrepancy list, and observe which step you are most likely to omit.

Human resources assistant direction

Prefers broader employee files, onboarding and offboarding, and HR matters.

HR processes and payroll disbursement approval are not automatically interchangeable.

Bookkeeping and accounting clerk direction

Prefers ledgers, vouchers, and financial balance verification.

Payroll reconciliation experience does not equal full accounting qualifications.

Billing and posting clerk direction

Willing to handle customer bills, amounts receivable, and invoice errors.

Customer charge rules differ from employee payroll rules.

Compensation and benefits analysis direction

More willing to study pay structures, job evaluation, and benefit plans.

Payroll processing experience does not automatically grant authority to set compensation policy.

Human resources specialist direction

Enjoys employee relations, recruitment, training, and policy communication.

Broader HR duties require separate learning and authorization.

General office clerk direction

Willing to practice record organization, collaboration, and information handling first.

General clerical experience does not mean sensitive payroll data can be handled.

No personality is universally best. What is more reliable is observing whether the person keeps verifying hours, pay adjustments, and deductions and escalates per process while discrepancies remain unresolved.

Introverts can do it; the key is communicating discrepancies clearly with employees, supervisors, HR, and finance.

Outgoing people can also do it; the key is accepting repeated numerical review, confidentiality, and cutoff management.

There is no best MBTI; verify with fictional hours computation, discrepancy lists, and review records.

The O*NET summary primary code is CE, Conventional 100 and Enterprising 39; the detail's Social 15 is a lower dimension. It is not an individual score, hiring, or payroll system authorization standard.

Personality scores cannot predict payroll work performance on their own; data accuracy and system compliance are more observable.

Reading hours and rates, recomputing gross and net amounts, and identifying cross-period differences are needed; this can be trained and does not correspond to an IQ score.

Payroll discrepancies and permission boundaries must be explained clearly, without using an EQ score as an entry threshold.

The Enneagram is for self-exploration only and does not decide payroll system permissions or hiring.

Compare your interests and ability with one fictional attendance sheet, payroll computation sheet, discrepancy list, and approval handoff note.

Worth exploring: willing to verify hours, pay, and deductions accurately, protect data, and hand off on schedule.

Call for caution: unwilling to keep original evidence, review anomalies, or follow data permissions.

Practice hours, rates, deductions, and reconciliation with fictional material only; do not upload a real employee payroll or execute payments.

Interest assessments are only for raising questions and do not define payroll work qualifications.

O*NET tasks for this occupation are used to verify attendance and payroll activities.

BLS US entry education and training do not equal Chinese hiring requirements.

O*NET training material describes US occupational preparation and does not guarantee a post.

O*NET human resources assistant tasks are used to compare the personnel records direction and do not imply an automatic job change.

O*NET bookkeeping, accounting, and auditing clerk tasks are used to compare the reconciliation direction and do not imply an automatic job change.

O*NET billing and posting clerk tasks are used to compare the billing and posting direction and do not imply an automatic job change.

The Personal Information Protection Law is used for real employee data handling boundaries, and interest fit cannot replace authorization.

This checklist separately describes hours entry errors, unapproved pay changes, employee information leaks, deduction and reconciliation discrepancies, deadline pressure, and loss of control over correction handoffs. The examples are for identifying problems and cannot replace employer systems, professional tax opinions, or local labor rules.

Three boundaries need the earliest clarification: who confirms hours and rates, who approves pay adjustments and payments, and who may view and correct employee data. When original evidence is insufficient, pause the affected computation or change steps, keep the discrepancy and recipient, and escalate immediately; payroll payment deadlines and dispute handling are decided under applicable rules and by authorized personnel, and this page's examples cannot support delaying all payroll unilaterally.

O*NET supports this occupation's tasks of verifying attendance, computing wages and deductions, pay statements, and period-end reconciliation; the Personal Information Protection material supports real employee data handling boundaries. The consequences and controls below are editorial examples and do not represent an error rate or a fixed procedure in all jurisdictions.

Attendance entry staff, payroll clerks, and affected employees

Missing, duplicate, or cross-period hours records may cause overpayment, underpayment, or delayed payment.

Compare each person's original attendance records with supervisor confirmation and flag cross-period, missing, and duplicate items; pause computation for items that cannot be confirmed and record the reviewer.

After an employee changes shifts, the old attendance and the new schedule are imported at the same time, and the system counts the same day's hours twice.

Payroll entry staff, approvers, and finance payment personnel

Unapproved rates or one-time adjustments may cause incorrect payments and break responsibility traceability.

Separate entry, review, and approval permissions; keep the original document, approver, and effective period for each adjustment, and freeze the affected records for abnormal changes first.

At month end someone asks verbally for a rate change with no verifiable approval record, and the system already shows the new amount.

Personnel handling employee identity, account, or payroll data

Sending payroll or bank account data to unauthorized persons by mistake may violate privacy and create security risks.

Access and export on a minimum necessary basis and verify the recipient and file scope before sending; when a leak is suspected, report per institutional and applicable jurisdiction processes and do not hide it.

To explain a pay difference, a spreadsheet containing everyone's accounts and wages is sent to an open group.

Payroll clerks, finance reconcilers, and affected employees

Unhandled deductions, back pay, or bank reconciliation differences can make net amounts wrong or leave period-end balances unbalanced.

Verify gross pay, each deduction, net pay, and amounts paid separately; when rules are unclear, have tax, HR, or finance owners confirm and keep version records for corrections.

One retroactive back payment is entered twice, and the pay statement net amount does not match the bank payment details.

Clerks, reviewers, and approvers within the payroll cycle

Deadline pressure may push people to skip spot checks or pay with unconfirmed data, causing cascading errors.

List material cutoffs and approval points at the start of the cycle; when key evidence is missing, flag it as to be verified and escalate per employer process, and do not approve unilaterally to meet the deadline.

One hour before payroll, overtime approval from two departments is still missing, and the team wants to use unconfirmed figures directly.

Personnel responsible for historical corrections and employee queries

Back pay or reversals without a version, reason, and recipient will repeat the error in later cycles and make it hard for employees to trace results.

Record the original amount, new amount, affected period, approver, and employee notification status; corrections require authorized review before handoff to the next cycle.

An employee reports being underpaid last month, and the clerk only changes this month's net amount without noting the original hours and the basis for back pay.

O*NET is used for payroll, attendance, adjustment, and reconciliation tasks and provides no error rate.

The BLS financial clerks page is used for the payroll and timekeeping clerk task description and provides no specific employer error rate.

The Personal Information Protection Law is used for real employee data handling boundaries and does not replace payroll computation rules.

The O*NET pay distribution is used only for pay basis comparison, not for inferring error or accident rates.

NIST generative AI material is used only for general risk prompts when AI assists records; the six post controls are editorial designs.

Education, courses, payroll system access permissions, payroll policy interpretation, and payment approval are different matters; no single proof automatically replaces the others.

BLS describes basic US financial clerk education and on-the-job training for payroll and timekeeping; specific Chinese education, taxes, social insurance, privacy, and payroll systems follow local rules and employer documents.

Payroll and attendance records contain personal information, and financial accounts among them may be sensitive personal information; fictional paper exercises cannot replace real payroll system mentoring, data permissions, or professional review.

If tax filing, labor disputes, bank disbursement, or payroll policy setting is involved, the jurisdiction, personnel qualifications, and organizational authorization must be confirmed separately.

Evidence gap: this round obtained no Chinese payroll and timekeeping clerk recruitment sample that can be cross-checked for employer, region, publication date, payroll duties, system permissions, and pay unit; no post thresholds or quotes are invented.

Samples obtained later should keep the original notice, closing date, and post duties and distinguish specific employer requirements from occupational statistics; A1—A5 are entirely fictional and do not serve as recruitment evidence.

The following four stages describe observable payroll and timekeeping work capability and are not uniform years, pay grades, or promotion promises; system permissions and disbursement approval are determined by employer systems.

Under supervision, organizes attendance and personnel changes, flags missing, duplicate, and unapproved items, and records data sources.

Verifies basic data under supervision

Can recompute a payroll draft at approved rates, explain one hours or adjustment discrepancy, and list items awaiting approval.

Identifies and reports discrepancies

Completes one cycle of data verification, pay statement preparation, and period-end reconciliation within authorized systems and hands off with HR and finance reviewers.

Completes an authorized payroll cycle

Can organize correction, reconciliation, and employee query processes into a re-checkable checklist, guide newcomers, and accept independent review.

Mentoring and improving verification processes

BLS lists typical entry education for US 43-3051 as high school or equivalent with medium-term on-the-job training; this page suggests fictional paper exercises first, then verifying the real system, permissions, and mentoring conditions.

Education, courses, system access, payroll policy interpretation, and payment approval differ; no training proof automatically grants all permissions.

O*NET and BLS describe a US occupation; Chinese payroll rules, taxes, privacy, and employer hiring must be verified separately under the target jurisdiction.

This page has not yet verified a usable Chinese recruitment sample for this occupation; real conditions must be verified against the original employer notices and applicable regional rules.

Used to understand typical US payroll and timekeeping clerk education and on-the-job training, not a uniform Chinese entry requirement.

Used to verify the 43-3051.00 hours, payroll, deduction, reconciliation, and employee communication tasks.

National Bureau of Statistics broad-basis pay cannot serve as a post quote or entry threshold for this occupation.

The Personal Information Protection Law is used to verify real employee data handling boundaries; fictional exercises contain no actual employee information.

Learn attendance records, data confidentiality, and system permissions first; any operation on real data must be supervised.

Write the A1—A5 original data as a re-checkable table and mark missing items and approval status.

Can present a fictional three-person attendance sheet and data source list that the person taking over can recompute.

Enters hours and rate versions under supervision and reports duplicates or omissions promptly.

Trained attendance data support worker

May take payroll system and personnel records courses; completing them does not equal payroll approval permission.

Draws the original inputs, computation, and reviewers of a fictional payroll cycle as a flow chart.

Can present the A1—A3 per-person computation and the explanations for the B and C discrepancies.

Prepares a payroll draft per approved rules and reports rate or adjustment inconsistencies promptly.

Payroll computation trainee

System permissions, local payroll rules, and confidentiality training are confirmed by the employer and jurisdiction.

Compares the payroll draft with the approval basis and explains one cross-period or unapproved adjustment.

Can present the data version, calculation, discrepancy cause, and the record of the person to approve.

Completes pay statement preparation and verification within authorization and hands to the reviewer for confirmation.

Payroll and Timekeeping Clerks

Advanced reconciliation or mentoring courses are optional and still follow the employer's permission matrix.

Writes cycle cutoffs, exception reporting, and correction handoff as an executable checklist.

Can present complete cycle discrepancy records and the post-correction balance review.

Coordinates attendance, HR, and finance handoffs, guides newcomers in verifying data, and reports open items.

Payroll verification mentor

Attendance system training should cover real sources, scheduling, and leave data, and access cannot be granted from the occupational title.

List the A1 three-person hours, rates, and items to be verified on a paper table.

Can present a comparison of original hours with system import results and does not handle real employee data.

Verifies attendance, leave, and duplicate records under supervision and records the source.

Attendance data trainee

Payroll computation and labor rules require local and employer training, and fictional prompt rates are not statutory standards.

Compare the A2 approval with the A3 draft and explain the 40 yuan and 80 yuan discrepancies.

Can present per-person gross amounts, adjustment status, and a discrepancy list.

Hands hours records to payroll computation within authorization and handles items to be confirmed.

Attendance verification clerk

Data quality and period-end reconciliation training should match the target system and payment cycle.

Writes recurring missing time cards, cross-period items, and rate version differences into a verification checklist.

Can present the closed discrepancy loop and handoff records for two cycles.

Coordinates corrections and period-end balances with HR and finance reviewers and pauses affected items when data is unclear.

Payroll data quality coordinator

Mentoring ability must be built under real supervision, and a training title does not grant independent payment authority.

Classifies process problems by accuracy, timeliness, and confidentiality and explains the basis for changes.

Can present re-checkable mentoring records, discrepancy handoffs, and post-improvement review results.

Guides the attendance and payroll team in handling cycles, discrepancies, and employee queries per institutional systems.

Attendance team mentor

Personnel file and personal information permissions must follow employer systems and the applicable jurisdiction, and payroll work does not grant access to all employees.

Draws data collection, payroll review, and payment approval as a role flow chart.

Can present the fields visible to each role, the handoff points, and prohibited overreach actions.

Maintains basic employee data and pay change records within authorization.

Personnel records interface support worker

Privacy, system permission, and employee query training should match the target organization's data processes.

Reviews one employee payroll query and writes the identity verification and disclosable scope.

Can present the employee request, verification, responder, and unresolved item list.

Assists the supervisor in verifying pay adjustments, employee explanations, and sensitive data access.

Employee payroll query coordinator

Accounting and bank reconciliation differ from payroll preparation, and account classifications and payment processes must be learned separately.

Lists pay statements, payment records, and correction items separately and marks who reviews each.

Can present a fictional period-end balance and a list of discrepancies to be checked.

Assists with reconciliation under authorization and hands unbalanced items to finance.

Finance reconciliation support worker

Interpretation of labor and tax policy rests with the authorized functions, while clerks focus on accurate records and reporting.

Writes separate reporting paths for data errors, privacy incidents, and payment anomalies.

Can present a cycle checklist the team can review and mark the authorized approver.

Assists in improving records and employee query processes, guides new trainees in verification, and does not sign off payments on behalf of others.

Payroll process records and mentoring lead

Exact BLS 43-3051 employment goes from 159.6 to 134.3 thousand over 2025—2035, an official net decrease of 25.4 thousand (about 25,400 people) and a 15.9% decline; annual average openings of 11.4 thousand (about 11,400) include replacements. The net change and endpoints are rounded independently. The OOH combined financial clerks group decline of 4% and 88,000 annual openings are not this occupation, and EP43-3000, a broader parent group, also cannot fill in; the overall projection does not equal AI causation alone, individual unemployment, or Chinese demand.

United States

2025—2035

This exact occupation has 159,600 employed in 2025 and a projected 134,300 in 2035, a net decrease of about 25,400.

The BLS occupational projection is a national estimate and does not describe a single city employer or individual hiring outcome.

Employment size and net change

The US 43-3051 exact occupational row

159,600 (2025) to 134,300 (2035)

United States

2025—2035

The exact BLS occupational row projects a 15.9% decline, while the financial clerks parent category declines about 4%; this page uses only the exact 43-3051 row to judge this occupation.

Annual average openings of about 11,400 include separation replacements and are not net new jobs; a projected employment decline and continued replacement demand can coexist.

Employment change rate and openings

The US 43-3051 exact occupational row

A 15.9% decline; annual average openings of about 11,400 (including replacements)

Mainland China

Currently verifiable material

Evidence gap: no mainland China payroll and timekeeping clerk employment projection mapping one to one onto US 43-3051 was verified; the US 15.9% decline is not interpreted as a Chinese trend.

National Bureau of Statistics 2025 urban unit pay is wage statistics and cannot provide an employment projection for this occupation.

Evidence status of Chinese occupational projections

Occupational definition and statistical period still need matching

Evidence gap: no comparable mainland China projection value for this occupation was verified.

The BLS financial clerks page is used for the US task description and entry background for this occupation, and parent category data is not treated as an exact occupational projection.

The BLS exact occupational table is used for the 43-3051 2025 employment, 2035 projection, annual average openings, and the annual pay median of 58,260 dollars.

National Bureau of Statistics broad-basis pay provides no recruitment or employment projection for this occupation.

O*NET is used for task and adjacent occupation comparison and does not prove job change success rates.

Learn personnel files, onboarding and offboarding processes, employee information permissions, and policy handoff.

Employee data verification, confidentiality, and system record experience transfers.

Medium: personnel data is close, but personnel files and payroll computation deliverables differ.

Learn ledgers, accounting subjects, receipt and payment verification, and financial record standards.

Numerical checking, voucher retention, and balance review habits transfer.

Medium: computation and reconciliation are close, and formal accounting duties must be learned separately.

Learn customer charge contracts, receivables, and billing correction procedures.

Data entry, discrepancy checking, and periodic reporting experience transfers.

Medium: the billing object is customer receivables, not employee wages.

Learn broad office documents, telephone, and coordination work.

Record accuracy, confidentiality, and multi-party handoff experience transfers.

Close: basic clerical skills are shared, but the work objects are broader.

Learn pay structures, job evaluation, benefit policy, and statistical analysis.

Payroll data and actual discrepancy observation experience transfers.

Farther: compensation plan design and job analysis differ from payroll processing.

Learn recruitment, employee relations, training, and labor policy handling.

Employee data and HR-payroll interface collaboration experience transfers.

Farther: professional HR judgment and payroll entry verification are not equivalent.

Learn team scheduling, quality monitoring, and personnel guidance.

Payroll cycle arrangement, anomaly escalation, and review experience transfers.

Farther: supervisor duties require people and process management capability.

Learn tax filing applicability rules, client interviews, and related qualifications.

Payroll deduction records and tax material organization experience may partially transfer.

Farther: the jurisdictional responsibility of tax preparation differs from payroll clerk work.

Editorially compiled by the FermatMind career content team; no practitioner in this occupation was invited to review.

Tasks and the CE interest profile follow O*NET43-3051; the exact US employment projection, net change, and openings including replacements follow BLS EP, the pay quintiles follow BLS2025 reproduced by O*NET; the Chinese reference follows the NBS2025 above-scale clerical personnel definition and pre-tax annual average, which is not an exact occupation, and the current recruitment gap is retained.

On 2026-10-12 this round verified the O*NET tasks, interests, and 2025 nationwide pay for this occupation, the BLS exact projection and financial clerks OOH, the NBS2025 broad job definition and wages, and the relevant Personal Information Protection Law clauses; older source dates are kept as historical. No Chinese notice for this occupation with complete current employer duties, permissions, and pay unit was obtained, and the fictional prompt is not treated as a recruitment sample.

The Chinese names only explain US occupational classifications and do not establish mutual recognition of Chinese and foreign qualifications; the three-person paper payroll exercise is fictional material and does not constitute tax, labor, payroll, or payment advice, nor does it collect real employee information.