Why records conflict
Scope and period mismatches between official records
Short answer
- US household vs payroll survey
- Household includes self-employed, agricultural and unpaid family workers, payroll excludes them 1
- Multiple jobholders
- Counted once in the household survey, once per job in the payroll survey 1
- US survey reference periods
- Household: week containing the 12th. Payroll: pay period including the 12th 1
- India GDP quarters
- Q1 is April to June, Q4 is January to March 3
- US provisional deaths
- Tabulated by jurisdiction of occurrence, not residence 2
Coverage: who or what is counted
The clearest example is the monthly US jobs report. It draws on two surveys. The Bureau of Labor Statistics (BLS) says the household survey includes agricultural workers, self-employed workers and unpaid family workers, and these groups are excluded from the establishment survey 1.
Definitions of the event matter too. The National Center for Health Statistics (NCHS) said some local and state health departments reported only laboratory-confirmed COVID-19 deaths, so their counts could differ from death certificate counts 2.
Counting unit: people, jobs or records
The same population can produce two totals if one record counts people and another counts positions. BLS says in the household survey individuals are counted only once, even if they hold more than one job 1. In the establishment survey, multiple jobholders are counted separately for each appearance on a payroll 1.
Period: reference weeks, quarters and fiscal years
Two records labelled with the same month can cover different days. BLS says the household survey refers to the calendar week containing the 12th of the month, and the establishment survey to the pay period including the 12th 1.
Years differ across systems. India's quarterly GDP calendar puts April to June in the first quarter and January to March in the fourth 3. Australia's national accounts revise by financial year, and the ABS rolls the chain volume reference year forward each September 4.
| Record | Period convention |
|---|---|
| US household survey | Calendar week containing the 12th 1 |
| US establishment survey | Pay period including the 12th 1 |
| India quarterly GDP | Q1 April to June, Q4 January to March 3 |
| Australia national accounts | Financial years, with the chain volume reference year rolled forward each September 4 |
Geography: where the event is recorded
NCHS said provisional death counts were tabulated by the jurisdiction where the death occurred, not the decedent's state of residence 2.
Adjustment: seasonal and base-year changes
Statistics Denmark says adding a new period automatically revises earlier seasonally adjusted figures, even when the unadjusted figures stay the same 5. The ABS says rolling the chain volume reference year forward changes levels across the series but not percentage movements 4.
Common questions
Why do the two US jobs numbers differ each month?
The household and payroll surveys cover different groups, count people versus jobs, and use different reference periods 1.
Does a fiscal year change a country's GDP figure?
It changes the period covered. India's GDP quarters run on an April to March year 3.
Why do state and federal death counts differ?
NCHS tabulated provisional deaths by place of occurrence, and some states reported only laboratory-confirmed COVID-19 deaths 2.
Why did old seasonally adjusted data change?
Statistics Denmark says new periods revise earlier seasonally adjusted figures automatically 5.
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Sources
- U.S. Bureau of Labor Statistics: Employment Situation Technical Note (2 October 2026)
- CDC National Center for Health Statistics: Technical Notes, Provisional Death Counts for COVID-19 (20 September 2023)
- Ministry of Statistics and Programme Implementation: Statement on Release Calendar of Annual and Quarterly Estimates of GDP and policy of revision (16 November 2016)
- Australian Bureau of Statistics: Revisions, Australian System of National Accounts Concepts, Sources and Methods 2020-21 (9 July 2021)
- Statistics Denmark: Revision and error policy
Related
- Why official records disagree
The main reasons two official records show different figures for the same thing: timing, revisions, corrections, scope, definitions and restatements.
- How to compare two conflicting records
A step by step method for comparing two official figures that disagree, from vintage and scope to corrections, restatements and documentation.
- Provisional versus final data
What provisional, advance and final figures mean in official data, how long each stage lasts, and why early counts differ from final ones.
- Statistical revisions explained
Why GDP, jobs and other official figures change after release, how agencies schedule revisions, and how a revision differs from a correction of an error.