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Labor · PNAD Contínua

Unemployment is near its lowest level since 2012. What the rate does not show

The rate stands at 5.3%, a step away from the record low of 5.1%. But fewer people are looking for work than in 2019, discouragement still exceeds 2014 levels, and only one in three jobs created since 2012 is a formal private-sector job.

By Dado Bruto · Oct. 17, 2026 · 13 min read Explore the dataSources and method
5.3%unemployment rate (Jun–Aug 2026); record low: 5.1%
13.1%labor underutilization, near the series low
62.2%labor force participation; in 2019, 63.4%
2.4 milliondiscouraged workers; in 2014, 1.4 million

In the quarter ending in August 2026, 5.3% of the people in the labor force looked for a job and did not find one. That is the second-lowest figure in the PNAD Contínua, IBGE's continuous household survey, which began in 2012. The lowest, 5.1%, was recorded in December 2025. At the worst moment, in September 2020, the rate hit 14.9%, with 15.0 million unemployed. Today there are 5.8 million.

But the unemployment rate is a narrow yardstick. For IBGE, an unemployed person is someone who did not work, looked for a job and was available to start. Left out are people who work fewer hours than they would like, people who gave up looking, and people who left the labor market. The rate also says nothing about the kind of jobs created or how much they pay. Some of these indicators are at the best point in the series. Others are not.

The numbers that follow are national, month by month. Another Dado Bruto analysis shows how the fall in unemployment was distributed across the states.

The broad measure is also near its floor

IBGE has a wider measure, the composite rate of labor underutilization. It adds two groups to the unemployed: the underemployed due to insufficient hours, who work fewer than 40 hours a week and want and are able to work more, and the potential labor force, people who want to work but did not look or could not start. In August 2026, the rate stood at 13.1%. The series low is 12.9%, in June 2026, and the high, 30.7%, in August 2020. Before 2016, the lowest value had been 14.7%, in July 2014.

By both yardsticks, then, the labor market is near its tightest point since 2012. And the gap between them, which used to be larger than the unemployment rate itself, has narrowed.

Unemployment and labor underutilization (%)
Unemployment rateComposite underutilization rate
0%8%16%24%32%2014201620182020202220242026Underutilization 13.1%Unemployment 5.3%Aug 2020: 30.7%Sep 2020: 14.9%
Source: IBGE, PNAD Contínua, rolling quarters (date = last month of the quarter). People aged 14 or older. Calculation: Dado Bruto. Bands: the 2014–2016 recession and the pandemic (2020 and 2021). Gap from Sep to Nov 2015 in underutilization: IBGE does not publish those quarters.

Taken separately, though, the layers are not all at the floor. The underemployed due to insufficient hours number 4.3 million, fewer than the 7.0 million of March 2012. The potential labor force, 4.9 million, is above its low of 4.0 million, in August 2014. And discouraged workers, who gave up looking because they cannot find suitable work or because there are no jobs where they live, number 2.4 million. That is less than half the peak of 5.8 million, in March 2021, but still above the series low of 1.4 million, in June 2014, and the figure at the start of the survey, 1.9 million.

The three layers of underutilization, in millions of people
UnemployedUnderemployed due to insufficient hoursPotential labor forceDiscouraged workers (dashed; part of the potential labor force)
04812162014201620182020202220242026Unemployed 5.8Potential labor force 4.9Underemployed 4.3Discouraged 2.4
Source: IBGE, PNAD Contínua, rolling quarters (date = last month of the quarter). People aged 14 or older. Calculation: Dado Bruto. Tables 6318 and 6438. Potential labor force: people who want to work and did not look, or looked but could not start. Discouraged workers: the part of that group that gave up looking for reasons such as not finding suitable work or there being no work in their area.

Fewer people looking

The unemployment rate can fall in two ways: more people find work or fewer people look. Both happened. The share of the population aged 14 or older that is working, known as the employment-to-population ratio, reached 59.0% in November 2025, the highest in the series, and now stands at 58.9%. The labor force participation rate, which adds those who work and those who are looking, stands at 62.2%. That is practically the same as in March 2012 (62.3%) and below the 2019 average (63.4%).

This difference matters. A simple calculation, not a forecast, gives the measure: if participation were at its 2019 average and employment stayed at 103.5 million, the labor force would have 111.4 million people, not 109.3 million. The unemployed would be 7.9 million, and the rate, 7.1%. The calculation assumes all those people would be looking for work without finding it, which need not be true.

Since 2012, the population aged 14 or older has grown from 153.0 million to 175.6 million, and the number of people outside the labor force from 57.7 million to 66.4 million. This group, in the PNAD, includes students, retirees, people who care for the home or relatives, and people who do not want to work. The data used here do not separate those reasons or age. An aging population is a possible explanation, but it has not been tested.

How much of the population works or looks for work (%)
Participation rate (labor force ÷ population aged 14+)Employment-to-population ratio (employed ÷ population aged 14+)
46%50%54%58%62%66%20142016201820202022202420262019 average: 63.4%Participation 62.2%Employment 58.9%
Source: IBGE, PNAD Contínua, rolling quarters (date = last month of the quarter). People aged 14 or older. Calculation: Dado Bruto. Tables 5944 and 6379. The vertical scale does not start at zero.

What jobs were created

From March 2012 to August 2026, the number of employed people went from 87.7 million to 103.5 million: 15.8 million more. Of those, 5.3 million are formal private-sector employees (with a signed work card, the "carteira"). The other 10.5 million came from the self-employed (+6.0 million), informal employees (+2.6 million), the public sector (+2.3 million) and employers (+1.1 million). Domestic work lost 0.5 million, and unpaid family work, 1.0 million.

With a different starting point, the picture changes. Since December 2019, before the pandemic, 9.6 million jobs have been created, and 5.2 million of them are formal private-sector jobs, the majority. The number of formal employees reached 39.5 million, the highest in the series.

Change in the number of employed people, by job category (millions)
Mar 2012 to Aug 2026Dec 2019 to Aug 2026
0+4+8+12+16Private-sector employee, formal contractPrivate-sector employee, formal contract: +5.28 million+5.3Private-sector employee, formal contract: +5.22 million+5.2Private-sector employee, no formal contractPrivate-sector employee, no formal contract: +2.64 million+2.6Private-sector employee, no formal contract: +1.65 million+1.7Domestic workerDomestic worker: -0.49 million-0.5Domestic worker: -0.66 million-0.7Public sectorPublic sector: +2.30 million+2.3Public sector: +1.79 million+1.8EmployerEmployer: +1.05 million+1.1Employer: +0.10 million+0.1Self-employedSelf-employed: +6.01 million+6.0Self-employed: +2.13 million+2.1Unpaid family workerUnpaid family worker: -1.02 million-1.0Unpaid family worker: -0.67 million-0.7Total employedTotal employed: +15.76 million+15.8Total employed: +9.56 million+9.6
Source: IBGE, PNAD Contínua, rolling quarters (date = last month of the quarter). People aged 14 or older. Calculation: Dado Bruto. Table 6320. The categories add up to total employment.

By sector, the biggest gains in workers since 2012 were in public administration, education, health and social services (+5.5 million), followed by information, finance and professional services (+3.7 million) and retail and vehicle repair (+2.7 million). Agriculture lost 2.0 million employed people, and domestic services, 0.4 million. Manufacturing employs practically the same number of people as in 2012: 13.3 million, versus 13.0 million.

Change in the number of employed people by sector, Mar 2012 to Aug 2026 (millions)
-20+2+4+6Public admin., education, health and social servicesPublic admin., education, health and social services: +5.55 million+5.5Information, finance and professional servicesInformation, finance and professional services: +3.66 million+3.7Retail and vehicle repairRetail and vehicle repair: +2.71 million+2.7Transportation, storage and mailTransportation, storage and mail: +2.22 million+2.2Other servicesOther services: +1.67 million+1.7Accommodation and foodAccommodation and food: +1.67 million+1.7ConstructionConstruction: +0.55 million+0.6ManufacturingManufacturing: +0.22 million+0.2Domestic servicesDomestic services: -0.44 million-0.4AgricultureAgriculture: -2.05 million-2.0
Source: IBGE, PNAD Contínua, rolling quarters (date = last month of the quarter). People aged 14 or older. Calculation: Dado Bruto. Table 6323. Sector of the main job.

Informality: slightly lower, and with a different face

IBGE has measured informality since the end of 2015. The calculation includes employees and domestic workers without a signed work card, employers and self-employed workers without a CNPJ (business tax ID), and people who help their families without pay. The rate started at 38.3% in December 2015, reached 41.1% in August 2019 and stands at 37.5%, close to the low of 36.6%. That low, from June 2020, was not an improvement. Between December 2019 and August 2020, informal workers fell from 38.2 million to 30.6 million. They were 41% of the employed but accounted for 59% of the jobs lost. The rate fell because they dropped out of the count. Today they number 38.8 million.

Among the self-employed, the growth came from those with a CNPJ: there were 4.3 million in December 2015 and there are 7.3 million now. Those without a CNPJ went from 18.0 million to 18.9 million. For IBGE, anyone with a CNPJ is formal. The survey does not say whether that CNPJ belongs to a micro-entrepreneur with many clients or to someone who provides services to a single company in place of a formal job.

Informality and the self-employed with a CNPJ, since the end of 2015
A. Informality rate among the employed (%)34%36%38%40%42%Aug 2019: 41.1%Jun 2020: 36.6%37.5%B. Self-employed workers, with and without a CNPJ (millions)05101520Without CNPJ 18.9With CNPJ 7.3201620182020202220242026
Source: IBGE, PNAD Contínua, rolling quarters (date = last month of the quarter). People aged 14 or older. Calculation: Dado Bruto. Tables 8513, 8501 and 6320 (starting with Oct–Dec 2015). Informal workers: employees and domestic workers without a signed work card, employers and self-employed without a CNPJ, and unpaid family workers.

What it pays

Average real earnings of the employed stand at R$ 3,777, in values adjusted by IBGE to August 2026. The record, R$ 3,804, is from March 2026. That is a rise of 19% since March 2012, 12% since December 2019 and 3.7% over 12 months. The lowest point was December 2021, at R$ 3,068, after the surge in inflation in 2021.

Those who earn less have had the biggest increases since 2012: 35% for informal employees, 27% for the self-employed and 22% for domestic workers. For formal employees, the rise was 12%; in the public sector, 15%. The gap has narrowed: informal employees earn an average of R$ 2,612, 23% less than formal employees (R$ 3,399).

With more people working and earning more, the total earnings bill, the sum of what all employed people receive per month, reached R$ 385.6 billion, the highest value in the series. It was R$ 269.8 billion in March 2012 and R$ 308.7 billion in December 2019. And people are working slightly less: average hours in the main job fell from 40.6 a week in the first quarter of 2012 to 39.1 in the April–June 2026 quarter.

Average real earnings by job category, Mar 2012 = 100
Informal employeesSelf-employedDomestic workersPublic sectorFormal employees
801001201402014201620182020202220242026Informal 135Self-employed 127Domestic 122Public sector 115Formal 112
Source: IBGE, PNAD Contínua, rolling quarters (date = last month of the quarter). People aged 14 or older. Calculation: Dado Bruto. Table 6389 (usual earnings, deflated by IBGE). Private sector for formal and informal employees.

Low unemployment, rising wages?

In theory, when few people are left looking for work, companies compete for workers and wages rise. The chart below tests this: each point is a month, with the unemployment rate on the horizontal axis and the 12-month real change in average earnings on the vertical axis.

The relationship shows up, with varying strength. From 2013 to 2019, it was weak: the correlation between the two series is -0.23. From 2022 to 2026, it became sharper (-0.62): months with lower unemployment tend to have wages rising faster. A negative correlation means that when one series rises, the other tends to fall.

The 2020 and 2021 points break the pattern, and the reason is arithmetic. Between February and August 2020, the country lost 11.9 million jobs, and average earnings rose 6.3%. Those who lost their jobs were mostly informal employees (2.8 million) and domestic workers (1.7 million), who earn less. When the lowest wages leave the calculation, the average rises without anyone getting a raise. The data show the association between unemployment and wages, not how much one causes the other.

Unemployment and wages: each point is a month
2013 to 20192020 and 20212022 to 2026
-12%-6%0%+6%+12%4%6%8%10%12%14%16%unemployment rate →Mar 2013: unemployment 8.0%, real earnings 2.1% over 12 monthsApr 2013: unemployment 7.9%, real earnings 1.9% over 12 monthsMay 2013: unemployment 7.6%, real earnings 2.3% over 12 monthsJun 2013: unemployment 7.5%, real earnings 2.9% over 12 monthsJul 2013: unemployment 7.4%, real earnings 3.1% over 12 monthsAug 2013: unemployment 7.2%, real earnings 3.4% over 12 monthsSep 2013: unemployment 7.0%, real earnings 3.6% over 12 monthsOct 2013: unemployment 6.8%, real earnings 4.0% over 12 monthsNov 2013: unemployment 6.5%, real earnings 3.7% over 12 monthsDec 2013: unemployment 6.2%, real earnings 3.1% over 12 monthsJan 2014: unemployment 6.5%, real earnings 2.6% over 12 monthsFeb 2014: unemployment 6.8%, real earnings 3.0% over 12 monthsMar 2014: unemployment 7.2%, real earnings 3.6% over 12 monthsApr 2014: unemployment 7.2%, real earnings 3.2% over 12 monthsMay 2014: unemployment 7.0%, real earnings 3.0% over 12 monthsJun 2014: unemployment 6.9%, real earnings 1.6% over 12 monthsJul 2014: unemployment 7.0%, real earnings 0.7% over 12 monthsAug 2014: unemployment 7.0%, real earnings 0.8% over 12 monthsSep 2014: unemployment 6.8%, real earnings 1.1% over 12 monthsOct 2014: unemployment 6.7%, real earnings 1.3% over 12 monthsNov 2014: unemployment 6.6%, real earnings 1.0% over 12 monthsDec 2014: unemployment 6.6%, real earnings 1.8% over 12 monthsJan 2015: unemployment 6.9%, real earnings 2.1% over 12 monthsFeb 2015: unemployment 7.5%, real earnings 0.9% over 12 monthsMar 2015: unemployment 8.0%, real earnings -0.2% over 12 monthsApr 2015: unemployment 8.1%, real earnings -0.4% over 12 monthsMay 2015: unemployment 8.2%, real earnings -0.6% over 12 monthsJun 2015: unemployment 8.4%, real earnings 0.2% over 12 monthsJul 2015: unemployment 8.6%, real earnings -0.3% over 12 monthsAug 2015: unemployment 8.8%, real earnings -1.5% over 12 monthsSep 2015: unemployment 9.0%, real earnings -1.9% over 12 monthsOct 2015: unemployment 9.1%, real earnings -2.7% over 12 monthsNov 2015: unemployment 9.1%, real earnings -2.7% over 12 monthsDec 2015: unemployment 9.1%, real earnings -3.3% over 12 monthsJan 2016: unemployment 9.6%, real earnings -3.1% over 12 monthsFeb 2016: unemployment 10.3%, real earnings -3.5% over 12 monthsMar 2016: unemployment 11.0%, real earnings -3.1% over 12 monthsApr 2016: unemployment 11.3%, real earnings -3.3% over 12 monthsMay 2016: unemployment 11.3%, real earnings -2.6% over 12 monthsJun 2016: unemployment 11.4%, real earnings -3.8% over 12 monthsJul 2016: unemployment 11.7%, real earnings -3.1% over 12 monthsAug 2016: unemployment 11.9%, real earnings -1.8% over 12 monthsSep 2016: unemployment 11.9%, real earnings -1.9% over 12 monthsOct 2016: unemployment 11.9%, real earnings -1.3% over 12 monthsNov 2016: unemployment 12.0%, real earnings -0.4% over 12 monthsDec 2016: unemployment 12.1%, real earnings 0.6% over 12 monthsJan 2017: unemployment 12.7%, real earnings 0.6% over 12 monthsFeb 2017: unemployment 13.3%, real earnings 1.6% over 12 monthsMar 2017: unemployment 13.9%, real earnings 1.7% over 12 monthsApr 2017: unemployment 13.7%, real earnings 1.7% over 12 monthsMay 2017: unemployment 13.4%, real earnings 1.2% over 12 monthsJun 2017: unemployment 13.1%, real earnings 1.9% over 12 monthsJul 2017: unemployment 12.9%, real earnings 1.9% over 12 monthsAug 2017: unemployment 12.7%, real earnings 0.9% over 12 monthsSep 2017: unemployment 12.5%, real earnings 1.5% over 12 monthsOct 2017: unemployment 12.3%, real earnings 1.7% over 12 monthsNov 2017: unemployment 12.1%, real earnings 1.9% over 12 monthsDec 2017: unemployment 11.9%, real earnings 1.4% over 12 monthsJan 2018: unemployment 12.3%, real earnings 1.4% over 12 monthsFeb 2018: unemployment 12.7%, real earnings 1.5% over 12 monthsMar 2018: unemployment 13.2%, real earnings 0.9% over 12 monthsApr 2018: unemployment 13.0%, real earnings 1.7% over 12 monthsMay 2018: unemployment 12.8%, real earnings 1.9% over 12 monthsJun 2018: unemployment 12.6%, real earnings 2.1% over 12 monthsJul 2018: unemployment 12.4%, real earnings 1.7% over 12 monthsAug 2018: unemployment 12.2%, real earnings 2.3% over 12 monthsSep 2018: unemployment 12.0%, real earnings 1.4% over 12 monthsOct 2018: unemployment 11.8%, real earnings 1.2% over 12 monthsNov 2018: unemployment 11.7%, real earnings 0.8% over 12 monthsDec 2018: unemployment 11.7%, real earnings 1.4% over 12 monthsJan 2019: unemployment 12.2%, real earnings 1.6% over 12 monthsFeb 2019: unemployment 12.5%, real earnings 1.6% over 12 monthsMar 2019: unemployment 12.8%, real earnings 1.2% over 12 monthsApr 2019: unemployment 12.6%, real earnings 0.3% over 12 monthsMay 2019: unemployment 12.4%, real earnings -0.4% over 12 monthsJun 2019: unemployment 12.1%, real earnings -0.3% over 12 monthsJul 2019: unemployment 11.9%, real earnings -0.2% over 12 monthsAug 2019: unemployment 11.9%, real earnings -0.2% over 12 monthsSep 2019: unemployment 11.9%, real earnings 0.2% over 12 monthsOct 2019: unemployment 11.7%, real earnings 0.8% over 12 monthsNov 2019: unemployment 11.3%, real earnings 1.2% over 12 monthsDec 2019: unemployment 11.1%, real earnings 0.3% over 12 monthsJan 2020: unemployment 11.3%, real earnings -0.1% over 12 monthsFeb 2020: unemployment 11.7%, real earnings -0.3% over 12 monthsMar 2020: unemployment 12.4%, real earnings 0.9% over 12 monthsApr 2020: unemployment 12.7%, real earnings 2.5% over 12 monthsMay 2020: unemployment 13.1%, real earnings 5.0% over 12 monthsJun 2020: unemployment 13.6%, real earnings 6.6% over 12 monthsJul 2020: unemployment 14.1%, real earnings 8.1% over 12 monthsAug 2020: unemployment 14.8%, real earnings 7.5% over 12 monthsSep 2020: unemployment 14.9%, real earnings 7.6% over 12 monthsOct 2020: unemployment 14.6%, real earnings 5.2% over 12 monthsNov 2020: unemployment 14.3%, real earnings 3.6% over 12 monthsDec 2020: unemployment 14.2%, real earnings 2.4% over 12 monthsJan 2021: unemployment 14.4%, real earnings 1.9% over 12 monthsFeb 2021: unemployment 14.6%, real earnings 0.9% over 12 monthsMar 2021: unemployment 14.9%, real earnings 0.4% over 12 monthsApr 2021: unemployment 14.8%, real earnings -1.9% over 12 monthsMay 2021: unemployment 14.7%, real earnings -3.6% over 12 monthsJun 2021: unemployment 14.2%, real earnings -6.5% over 12 monthsJul 2021: unemployment 13.7%, real earnings -8.4% over 12 monthsAug 2021: unemployment 13.2%, real earnings -9.6% over 12 monthsSep 2021: unemployment 12.7%, real earnings -11.3% over 12 monthsOct 2021: unemployment 12.1%, real earnings -11.3% over 12 monthsNov 2021: unemployment 11.6%, real earnings -11.5% over 12 monthsDec 2021: unemployment 11.1%, real earnings -10.9% over 12 monthsJan 2022: unemployment 11.2%, real earnings -9.8% over 12 monthsFeb 2022: unemployment 11.2%, real earnings -8.9% over 12 monthsMar 2022: unemployment 11.1%, real earnings -8.8% over 12 monthsApr 2022: unemployment 10.5%, real earnings -8.0% over 12 monthsMay 2022: unemployment 9.8%, real earnings -7.3% over 12 monthsJun 2022: unemployment 9.3%, real earnings -5.2% over 12 monthsJul 2022: unemployment 9.1%, real earnings -3.0% over 12 monthsAug 2022: unemployment 8.9%, real earnings -0.7% over 12 monthsSep 2022: unemployment 8.7%, real earnings 2.5% over 12 monthsOct 2022: unemployment 8.3%, real earnings 4.6% over 12 monthsNov 2022: unemployment 8.1%, real earnings 7.0% over 12 monthsDec 2022: unemployment 7.9%, real earnings 8.1% over 12 monthsJan 2023: unemployment 8.4%, real earnings 7.6% over 12 monthsFeb 2023: unemployment 8.6%, real earnings 7.4% over 12 monthsMar 2023: unemployment 8.8%, real earnings 7.2% over 12 monthsApr 2023: unemployment 8.5%, real earnings 7.3% over 12 monthsMay 2023: unemployment 8.3%, real earnings 6.4% over 12 monthsJun 2023: unemployment 8.0%, real earnings 6.1% over 12 monthsJul 2023: unemployment 7.9%, real earnings 5.1% over 12 monthsAug 2023: unemployment 7.8%, real earnings 4.4% over 12 monthsSep 2023: unemployment 7.7%, real earnings 4.1% over 12 monthsOct 2023: unemployment 7.6%, real earnings 3.8% over 12 monthsNov 2023: unemployment 7.5%, real earnings 3.7% over 12 monthsDec 2023: unemployment 7.4%, real earnings 3.0% over 12 monthsJan 2024: unemployment 7.6%, real earnings 3.7% over 12 monthsFeb 2024: unemployment 7.8%, real earnings 4.2% over 12 monthsMar 2024: unemployment 7.9%, real earnings 3.9% over 12 monthsApr 2024: unemployment 7.5%, real earnings 4.7% over 12 monthsMay 2024: unemployment 7.1%, real earnings 5.5% over 12 monthsJun 2024: unemployment 6.9%, real earnings 5.7% over 12 monthsJul 2024: unemployment 6.8%, real earnings 4.7% over 12 monthsAug 2024: unemployment 6.6%, real earnings 5.0% over 12 monthsSep 2024: unemployment 6.4%, real earnings 3.6% over 12 monthsOct 2024: unemployment 6.2%, real earnings 3.8% over 12 monthsNov 2024: unemployment 6.1%, real earnings 3.4% over 12 monthsDec 2024: unemployment 6.2%, real earnings 4.2% over 12 monthsJan 2025: unemployment 6.5%, real earnings 3.6% over 12 monthsFeb 2025: unemployment 6.8%, real earnings 3.5% over 12 monthsMar 2025: unemployment 7.0%, real earnings 4.0% over 12 monthsApr 2025: unemployment 6.6%, real earnings 3.1% over 12 monthsMay 2025: unemployment 6.2%, real earnings 3.0% over 12 monthsJun 2025: unemployment 5.8%, real earnings 3.3% over 12 monthsJul 2025: unemployment 5.6%, real earnings 3.8% over 12 monthsAug 2025: unemployment 5.6%, real earnings 3.3% over 12 monthsSep 2025: unemployment 5.6%, real earnings 4.0% over 12 monthsOct 2025: unemployment 5.4%, real earnings 3.8% over 12 monthsNov 2025: unemployment 5.2%, real earnings 4.5% over 12 monthsDec 2025: unemployment 5.1%, real earnings 5.0% over 12 monthsJan 2026: unemployment 5.4%, real earnings 5.4% over 12 monthsFeb 2026: unemployment 5.8%, real earnings 5.3% over 12 monthsMar 2026: unemployment 6.1%, real earnings 5.5% over 12 monthsApr 2026: unemployment 5.8%, real earnings 5.3% over 12 monthsMay 2026: unemployment 5.6%, real earnings 4.0% over 12 monthsJun 2026: unemployment 5.4%, real earnings 2.9% over 12 monthsJul 2026: unemployment 5.3%, real earnings 3.3% over 12 monthsAug 2026: unemployment 5.3%, real earnings 3.7% over 12 monthsAug 2026
Source: IBGE, PNAD Contínua, rolling quarters (date = last month of the quarter). People aged 14 or older. Calculation: Dado Bruto. Usual average real earnings (table 6390), change over the same month of the previous year. Hover over the points.

The labor market at six moments

The table brings together the main indicators at six moments: the start of the series, the lowest unemployment before the 2014–2016 recession, the last quarter before the pandemic, the worst moment for employment in the pandemic, a year ago and the most recent data.

The labor market at six moments
IndicatorMar 2012Dec 2013Dec 2019Aug 2020Aug 2025Aug 2026
Unemployment rate (%)8.06.211.114.85.65.3
Composite underutilization rate (%)20.814.923.030.714.113.1
Discouraged workers (millions)1.91.64.65.82.72.4
Participation rate (%)62.362.463.456.862.362.2
Employment-to-population ratio (%)57.358.556.448.458.858.9
Employed (millions)87.791.793.981.1102.4103.5
Formal private-sector employees (millions)34.236.934.229.939.139.5
Informality rate (%)n/an/a40.737.738.037.5
Average real earnings (R$)3,1733,2893,3613,5833,6413,777
Total real earnings (R$ billion/month)269.8291.4308.7283.7368.1385.6
Rolling quarters ending in the month indicated. Moments: start of the series; lowest unemployment before 2016; last quarter before the pandemic; worst moment for employment in the pandemic; one year earlier; most recent data. n/a: the informality series starts in Dec 2015. Earnings in Aug 2026 reais (IBGE deflator). Source: IBGE, PNAD Contínua. Calculation: Dado Bruto.

Explore the labor market series

Select the series and change the period. Counts of people, earnings and total earnings appear in the same chart, indexed to 100 in the first common month. Each rate gets its own chart, with its own scale.

Limits

The PNAD Contínua is a household sample survey. Each number has a margin of error, and changes of a few tenths from one quarter to the next may not be significant. The data are rolling quarters: the August figure is the average of June, July and August. The series are not seasonally adjusted, and unemployment usually rises at the start of each year. For that reason, comparisons always use the same month in different years, or the entire series.

IBGE revises the survey weighting from time to time, and numbers from earlier years may change. The informality and CNPJ data begin at the end of 2015. And none of the comparisons measures cause and effect.

Sources and method

  • IBGE, quarterly PNAD Contínua, rolling quarters, Brazil, people aged 14 or older: tables 6381 (unemployment), 6441 (underutilization), 6785 (underemployment), 6807 (discouragement, %), 6438 (people by underutilization measure), 6318 (labor force status), 5944 (participation), 6379 (employment-to-population ratio), 6320 (employed by job category), 6323 (by sector), 8513 and 8501 (informality), 6389 and 6390 (usual average real earnings), 6392 (usual real earnings bill).
  • IBGE, quarterly PNAD Contínua, table 6371: average hours usually worked in the main job (fixed quarters).
  • Real values according to the IBGE deflator, in reais of the last quarter published. The series were downloaded from the SIDRA API on Oct. 17, 2026 and are in the Dado Bruto database.
  • Dado Bruto calculations: changes, differences between dates, 12-month real earnings (month over the same month of the previous year), Pearson correlation between unemployment and 12-month real earnings, and the unemployment rate calculation using the 2019 average participation (labor force = participation × population aged 14+; unemployed = labor force − employed in Aug 2026).
Corrections: none so far.

You may reuse this. The charts and data in this analysis may be copied and republished, even commercially, under the CC BY 4.0 license. Just credit “dadobruto.com” and, online, link to this page or to dadobruto.com. The original numbers follow the rules of each cited source. The text of the analysis is outside the license.

How to cite: Dado Bruto. Unemployment is near its lowest level since 2012. What the rate does not show. Code DB-AN-0008. Published Oct. 17, 2026. https://dadobruto.com/en/analysis/brazil-labor-market-since-2012

This is the English edition of an analysis first published in Portuguese. Ler o original em português →

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