![\"decrease\"\/](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/down.png\")
<\/p>\n
\n
\n
<\/p>\n
Released:\u00a02026-05-08<\/p>\n
<\/p>\n
\n Select geography
\n
\n Canada
\n Newfoundland and Labrador
\n Prince Edward Island
\n Nova Scotia
\n New Brunswick
\n Quebec
\n Ontario
\n Manitoba
\n Saskatchewan
\n Alberta
\n British Columbia
<\/p>\n
\nEmployment level \u2014 Canada
\n<\/p>\n
21,034,000<\/p>\n
April\u00a02026<\/p>\n
-0.1%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 Canada
\n<\/p>\n
6.9%<\/p>\n
April\u00a02026<\/p>\n
0.2\u00a0pts\u00a0![\"increase\"\/](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/up.png\")
<\/p>\n
(monthly change)<\/p>\n
\nEmployment level \u2014 N.L.
\n<\/p>\n
244,000<\/p>\n
April\u00a02026<\/p>\n
-2.1%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 N.L.
\n<\/p>\n
10.0%<\/p>\n
April\u00a02026<\/p>\n
0.5\u00a0pts\u00a0<\/p>\n
(monthly change)<\/p>\n
\nEmployment level \u2014 P.E.I.
\n<\/p>\n
96,000<\/p>\n
April\u00a02026<\/p>\n
-0.5%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 P.E.I.
\n<\/p>\n
8.0%<\/p>\n
April\u00a02026<\/p>\n
0.7\u00a0pts\u00a0<\/p>\n
(monthly change)<\/p>\n
\nEmployment level \u2014 N.S.
\n<\/p>\n
529,000<\/p>\n
April\u00a02026<\/p>\n
0.1%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 N.S.
\n<\/p>\n
6.3%<\/p>\n
April\u00a02026<\/p>\n
-0.3\u00a0pts\u00a0<\/p>\n
(monthly change)<\/p>\n
\nEmployment level \u2014 N.B.
\n<\/p>\n
409,000<\/p>\n
April\u00a02026<\/p>\n
-0.7%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 N.B.
\n<\/p>\n
7.2%<\/p>\n
April\u00a02026<\/p>\n
0.2\u00a0pts\u00a0<\/p>\n
(monthly change)<\/p>\n
\nEmployment level \u2014 Que.
\n<\/p>\n
4,579,000<\/p>\n
April\u00a02026<\/p>\n
-0.9%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 Que.
\n<\/p>\n
6.2%<\/p>\n
April\u00a02026<\/p>\n
0.8\u00a0pts\u00a0<\/p>\n
(monthly change)<\/p>\n
\nEmployment level \u2014 Ont.
\n<\/p>\n
8,248,000<\/p>\n
April\u00a02026<\/p>\n
0.5%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 Ont.
\n<\/p>\n
7.5%<\/p>\n
April\u00a02026<\/p>\n
-0.1\u00a0pts\u00a0<\/p>\n
(monthly change)<\/p>\n
\nEmployment level \u2014 Man.
\n<\/p>\n
749,000<\/p>\n
April\u00a02026<\/p>\n
-0.2%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 Man.
\n<\/p>\n
5.0%<\/p>\n
April\u00a02026<\/p>\n
-0.6\u00a0pts\u00a0<\/p>\n
(monthly change)<\/p>\n
\nEmployment level \u2014 Sask.
\n<\/p>\n
620,000<\/p>\n
April\u00a02026<\/p>\n
-0.6%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 Sask.
\n<\/p>\n
5.6%<\/p>\n
April\u00a02026<\/p>\n
0.6\u00a0pts\u00a0<\/p>\n
(monthly change)<\/p>\n
\nEmployment level \u2014 Alta.
\n<\/p>\n
2,657,000<\/p>\n
April\u00a02026<\/p>\n
0.0%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 Alta.
\n<\/p>\n
7.0%<\/p>\n
April\u00a02026<\/p>\n
0.5\u00a0pts\u00a0<\/p>\n
(monthly change)<\/p>\n
\nEmployment level \u2014 B.C.
\n<\/p>\n
2,904,000<\/p>\n
April\u00a02026<\/p>\n
-0.1%\u00a0<\/p>\n
(monthly change)<\/p>\n
\nUnemployment rate \u2014 B.C.
\n<\/p>\n
6.8%<\/p>\n
April\u00a02026<\/p>\n
0.1\u00a0pts\u00a0<\/p>\n
(monthly change)<\/p>\n
\nHighlights<\/p>\n
Employment was little changed in April (-18,000; -0.1%) and the employment rate fell\u00a00.1\u00a0percentage points to\u00a060.5%.<\/p>\n
The unemployment rate increased by\u00a00.2\u00a0percentage points to\u00a06.9%, as more people searched for work.<\/p>\n
Employment varied little across major age groups in April. However, the unemployment rate increased among youth aged\u00a015\u00a0to\u00a024\u00a0(+0.5\u00a0percentage points to\u00a014.3%) and among core-aged men aged\u00a025\u00a0to\u00a054\u00a0(+0.3\u00a0percentage points to\u00a06.1%).<\/p>\n
Fewer people were employed in Quebec (-43,000; -0.9%), Newfoundland and Labrador (-5,200; -2.1%), Saskatchewan (-4,000; -0.6%) and New Brunswick (-2,700; -0.7%). Employment increased in Ontario (+42,000; +0.5%) and was little changed in the other provinces.<\/p>\n
Average hourly wages among employees were up\u00a04.5% (+$1.64\u00a0to $37.77) on a year-over-year basis in April, following growth of\u00a04.7% in March (not seasonally adjusted).<\/p>\n
Employment varies little for second consecutive month <\/p>\n
Employment was little changed in April (-18,000; -0.1%). This marked the second consecutive month of little variation following the monthly decline of\u00a084,000\u00a0(-0.4%) in February. On a year-over-year basis, employment in April was up by\u00a067,000\u00a0(+0.3%), but recorded a net decline of\u00a0112,000\u00a0(-0.5%) over the first four months of\u00a02026.<\/p>\n
<\/p>\n
Chart\u00a01\u00a0
<\/p>\n The employment rate\u2014the proportion of the population aged\u00a015\u00a0and older who are employed\u2014decreased by\u00a00.1\u00a0percentage points to\u00a060.5% in April, matching a recent low observed in August\u00a02025. The rate was down\u00a00.3\u00a0percentage points on a year-over-year basis in April.<\/p>\n
<\/p>\n Infographic\u00a01\u00a0
<\/p>\n In April, full-time employment fell by\u00a047,000\u00a0(-0.3%), while part-time employment edged up (+29,000; +0.8%). The net overall decline in employment over the first four months of\u00a02026\u00a0was concentrated in full-time work, which fell by\u00a0111,000\u00a0(-0.6%) over the period.<\/p>\n There was little change in the number of private and public sector employees as well as in the number of self-employed workers in April. Compared with\u00a012\u00a0months earlier, the number of private sector employees was up by\u00a091,000\u00a0(+0.7%), while self-employment was down by\u00a055,000\u00a0(-2.0%). Public sector employment was little changed over the period.<\/p>\n Unemployment rate rises to\u00a06.9%<\/p>\n In April, the unemployment rate rose\u00a00.2\u00a0percentage points to\u00a06.9%, as more people searched for work (+51,000; +3.4%). The unemployment rate has increased\u00a00.4\u00a0percentage points since January\u00a02026, but remained below the recent peak of\u00a07.1% observed in August and September of\u00a02025. On a year-over-year basis, the unemployment rate was virtually unchanged in April\u00a02026.<\/p>\n
<\/p>\n Chart\u00a02\u00a0
<\/p>\n The proportion of unemployed people who had been continuously searching for work for\u00a027\u00a0weeks or more\u2014considered long-term unemployment\u2014was\u00a022.5% in April. This proportion was little changed both in the month and compared with\u00a012\u00a0months earlier. However, it remained significantly above the pre-COVID-19\u00a0pandemic average of\u00a017.1% observed from\u00a02017\u00a0to\u00a02019.<\/p>\n At the same time, the monthly layoff rate (0.6%) in April remained in-line with the pre-pandemic average, showing no recent elevation (not seasonally adjusted).<\/p>\n Labour force participation up in April<\/p>\n The participation rate\u2014the proportion of the population aged\u00a015\u00a0and older who were employed or looking for work\u2014rose by\u00a00.1\u00a0percentage points to\u00a065.0% in April as more people were in the labour force searching for work. The increase was concentrated among core-aged people, whose labour force participation rate rose\u00a00.3\u00a0percentage points to\u00a088.5%.<\/p>\n On a year-over-year basis, the overall labour force participation rate was down\u00a00.3\u00a0percentage points in April. This mostly reflected population aging which has put downward pressure on the labour supply, as more individuals have transitioned into retirement. Among core-aged people, the labour force participation rate was up\u00a00.3\u00a0percentage points year over year, while for youth aged\u00a015\u00a0to\u00a024, it was little changed.<\/p>\n Youth unemployment rate increases <\/p>\n The youth (15\u00a0to\u00a024\u00a0years) unemployment rate rose by\u00a00.5\u00a0percentage points to\u00a014.3% in April, as employment varied little and the number of young people searching for work edged up (+14,000; +3.3%). The youth unemployment rate was virtually unchanged on a year-over-year basis but remained markedly above the pre-pandemic average of\u00a010.8%.<\/p>\n
<\/p>\n Infographic\u00a02\u00a0
<\/p>\n In April, the youth unemployment rate for students was\u00a016.0%,\u00a02.5\u00a0percentage points higher than the corresponding rate for non-students (13.5%) (not seasonally adjusted). Both rates were little changed on a year-over-year basis.<\/p>\n In addition to the elevated unemployment rate, the overall youth labour force participation rate was\u00a062.9% in April, virtually unchanged from a year earlier but below the pre-pandemic average of\u00a065.4%.<\/p>\n Compared with the pre-pandemic average, the participation rate was down for youth who were attending school (-1.4\u00a0percentage points to\u00a045.3%) while it was little changed for those not attending school (87.6%) (not seasonally adjusted). At the same time, a higher proportion of youth were attending school compared with before the pandemic, which also contributed to a lower labour force participation rate for this age group.<\/p>\n Employment holds steady among core-aged workers but unemployment rate rises for men <\/p>\n Among people of core working age (25\u00a0to\u00a054\u00a0years), both men and women saw little variation in employment in April. For core-aged men, the unemployment rate rose\u00a00.3\u00a0percentage points to\u00a06.1% as more men in this age group searched for work.<\/p>\n The unemployment rate for core-aged women was\u00a05.9% in April, virtually unchanged in the month and from\u00a012\u00a0months earlier.<\/p>\n Among people aged\u00a055\u00a0years and older, the unemployment rate was unchanged at\u00a04.9% in April and was down\u00a00.5\u00a0percentage points compared with April of the previous year.<\/p>\n Average hourly wages rise\u00a04.5% year over year<\/p>\n Average hourly wages among employees in April were up\u00a04.5% year over year, following growth of\u00a04.7% in March (not seasonally adjusted). In comparison, year-over-year wage increases averaged\u00a03.4% in\u00a02025.<\/p>\n Wage growth was stronger for employees with higher wages, on a year-over-year basis in April. For employees in the bottom\u00a025% of the wage distribution, wages rose\u00a03.5% (to $19.05) on a year-over-year basis in April. In comparison, average hourly wages grew more rapidly among employees in the second-lowest\u00a025% of the wage distribution (+4.4% to $27.52), as well as the third (+4.9% to $39.06) and the top (+4.8% to $66.30) quartiles. <\/p>\n The recent acceleration in overall hourly wage growth largely reflected changes in the composition of employment, including a lower proportion of employees with shorter job tenure. Using a method that holds constant the composition of employees by occupation and job tenure, average hourly wages were up by\u00a03.4% on a year-over-year basis in April, similar to the rate of growth observed in March (+3.6%) and February\u00a02026\u00a0(+3.5%).<\/p>\n Employment gains year-over-year concentrated in health care and social assistance <\/p>\n On a month-over-month basis, employment decreases in April were concentrated in information, culture and recreation (-25,000; -2.8%), construction (-16,000; -1.0%), and in ‘other services’ (-13,000; -1.6%), an industry which includes repair and maintenance as well as personal services.<\/p>\n
<\/p>\n Chart\u00a03\u00a0
<\/p>\n On the other hand, employment increased in business, building and other support services (+22,000; +3.2%), health care and social assistance (+18,000; +0.6%) and in accommodation and food services (+13,000; +1.1%).<\/p>\n On a year-over-year basis, employment was little changed across most industries in April, with the notable exception of health care and social assistance, which was up\u00a0119,000\u00a0(+4.1%) over the period.<\/p>\n Employment falls in Quebec, rises in Ontario<\/p>\n In Quebec, employment fell in April (-43,000; -0.9%), the second significant monthly decline in the past three months. From January to April, employment in Quebec recorded a net decline of\u00a091,000\u00a0(-1.9%). This was primarily concentrated in the Montr\u00e9al census metropolitan area (CMA<\/a>), where employment fell by\u00a056,000\u00a0(-2.3%) over the same period.<\/p>\n
<\/p>\n Map\u00a01\u00a0
<\/p>\n The unemployment rate in Quebec rose by\u00a00.8\u00a0percentage points to\u00a06.2% in April, as fewer people were employed and more people searched for work. This matched the recent peak observed in June\u00a02025. In the Montr\u00e9al CMA<\/a>, the unemployment rate rose\u00a01.3\u00a0percentage points to\u00a07.7% in April, its highest rate since July\u00a02016\u00a0(excluding\u00a02020\u00a0and\u00a02021).<\/p>\n Employment also declined in Newfoundland and Labrador (-5,200; -2.1%), Saskatchewan (-4,000; -0.6%), and New Brunswick (-2,700; -0.7%) in April. The unemployment rate increased in Saskatchewan (+0.6\u00a0percentage points to\u00a05.6%) and was little changed in Newfoundland and Labrador (10.0%) and New Brunswick (7.2%). Despite little variation in employment, the unemployment rate declined by\u00a00.6\u00a0percentage points to\u00a05.0% in Manitoba, the lowest rate across the provinces.<\/p>\n Employment rose in Ontario (+42,000; +0.5%) in April, following two consecutive months of little variation. The gain in April partially offsets the decline recorded in January (-67,000; -0.8%). The unemployment rate in Ontario edged down\u00a00.1\u00a0percentage points to\u00a07.5% in April. <\/p>\n
On January\u00a01,\u00a02016, the world officially began implementation of the 2030\u00a0Agenda for Sustainable Development<\/a>\u2014the United Nations’ transformative plan of action that addresses urgent global challenges over the next\u00a015\u00a0years. The plan is based on\u00a017\u00a0specific sustainable development goals.<\/p>\n The Labour Force Survey is an example of how Statistics Canada supports the reporting on the Global Goals for Sustainable Development. This release will be used in helping to measure the following goals:<\/p>\n
The Labour Force Survey (LFS<\/a>) estimates for April reflect labour market conditions during the reference week of April\u00a012\u00a0to\u00a018,\u00a02026.<\/p>\n The sample size of the LFS<\/a> is approximately\u00a065,000\u00a0households, representing over\u00a0100,000\u00a0respondents each month. For more information, see the Guide to the Labour Force Survey<\/a>.<\/p>\n This analysis focuses on differences between estimates that are statistically significant at the\u00a068% confidence level. Monthly estimates may show more sampling variability than trends observed over longer periods. For more information, see “Interpreting Monthly Changes in Employment from the Labour Force Survey<\/a>.”<\/p>\n LFS<\/a> estimates at the Canada level do not include the territories.<\/p>\n The LFS<\/a> estimates are the first in a series of labour market indicators released by Statistics Canada, which includes indicators from programs such as the Survey of Employment, Payrolls and Hours (SEPH<\/a>); Employment Insurance Statistics; and the Job Vacancy and Wage Survey. For more information on the conceptual differences between employment measures from the LFS<\/a> and those from the SEPH<\/a>, refer to section\u00a08\u00a0of the Guide to the Labour Force Survey<\/a>.<\/p>\n The employment rate is the number of employed people as a percentage of the population aged\u00a015\u00a0years and older. The rate for a particular group (for example, youth aged\u00a015\u00a0to\u00a024\u00a0years) is the number employed in that group as a percentage of the population for that group.<\/p>\n The unemployment rate is the number of unemployed people as a percentage of the labour force (employed and unemployed).<\/p>\n The participation rate is the number of employed and unemployed people as a percentage of the population aged\u00a015\u00a0years and older.<\/p>\n Full-time employment consists of persons who usually work\u00a030\u00a0hours or more per week at their main or only job.<\/p>\n Part-time employment consists of persons who usually work less than\u00a030\u00a0hours per week at their main or only job.<\/p>\n Total hours worked refers to the number of hours actually worked at the main job by the respondent during the reference week, including paid and unpaid hours. These hours reflect temporary decreases or increases in work hours (for example, hours lost due to illness, vacation, holidays or weather; or more hours worked due to overtime).<\/p>\n This release refers to the gender of a person<\/a>. The category “men” includes men, as well as some non-binary persons. The category “women” includes women, as well as some non-binary persons. Given that the non-binary population is small, data aggregation to a two-category gender variable is necessary to protect the confidentiality of responses provided.<\/p>\n Seasonal adjustment<\/p>\n Unless otherwise stated, estimates presented in this release are seasonally adjusted, which facilitates comparisons by removing the effects of typical seasonal variations. For more information on seasonal adjustment, see Seasonally adjusted data \u2013 Frequently asked questions<\/a>.<\/p>\n Population totals in the Labour Force Survey<\/p>\n The LFS<\/a> target population includes all persons aged\u00a015\u00a0years and older whose usual place of residence is in Canada, with some exceptions (those living on reserves, full-time members of the regular Armed Forces and persons living in institutions). The target population includes temporary residents\u2014that is, those with a valid work or study permit, their families, and refugee claimants\u2014as well as permanent residents (landed immigrants) and the Canadian-born.<\/p>\n Information gathered from LFS<\/a> respondents is weighted to represent the survey target population using population calibration totals. These totals are updated each month, using the most recently available information on population changes derived from Canada’s official population estimates, with minor adjustments being made to reflect the LFS<\/a> target population.<\/p>\n While the LFS<\/a> population totals are generally aligned with official demographic estimates, the official estimates should be considered the official measure of population change in Canada. More information on how population totals in the LFS<\/a> are calculated can be found in the article “Interpreting population totals from the Labour Force Survey<\/a>.”<\/p>\n Next release<\/p>\n The next release of the LFS<\/a> will be on June\u00a05,\u00a02026. May\u00a02026\u00a0data will reflect labour market conditions during the week of May\u00a010\u00a0to\u00a016.<\/p>\n
More information about the concepts and use of the Labour Force Survey is available online in the Guide to the Labour Force Survey (Catalogue number71-543-G<\/a>).<\/p>\n The product “Labour Force Survey in brief: Interactive app<\/a>” (Catalogue number14200001<\/a>) is also available. This interactive visualization application provides seasonally adjusted estimates by province, gender, age group and industry.<\/p>\n The product “Labour Market Indicators, by province and census metropolitan area, seasonally adjusted<\/a>” (Catalogue number71-607-X<\/a>) is also available. This interactive dashboard provides customizable access to key labour market indicators.<\/p>\n The product “Labour Market Indicators, by province, territory and economic region, unadjusted for seasonality<\/a>” (Catalogue number71-607-X<\/a>) is also available. This dynamic web application provides access to labour market indicators for Canada, provinces, territories and economic regions.<\/p>\n The product “Labour market indicators, census metropolitan areas, census agglomerations and self-contained labour areas: Interactive dashboard<\/a>” (Catalogue number71-607-X<\/a>) is also available. This dashboard allows users to visually explore the estimates using an interactive map as well as time series charts and tables.<\/p>\n The product Labour Force Survey: Public Use Microdata File (Catalogue number71M0001X<\/a>) is also available. This public use microdata file contains non-aggregated data for a wide variety of variables collected from the Labour Force Survey. The data have been modified to ensure that no individual or business is directly or indirectly identified. This product is for users who prefer to do their own analysis by focusing on specific subgroups in the population or by cross-classifying variables that are not in our catalogued products.<\/p>\n Contact information<\/p>\n For more information, or to enquire about the concepts, methods or data quality of this release, contact us (toll-free 1-800-263-1136; 514-283-8300; infostats@statcan.gc.ca<\/a>) or Media Relations (statcan.mediahotline-ligneinfomedias.statcan@statcan.gc.ca<\/a>).<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Released:\u00a02026-05-08
Select geography
Canada
Newfoundland and Labrador
Prince Edward Island
Nova Scotia
…\n","protected":false},"author":2,"featured_media":657945,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[64,63,99,164],"class_list":["post-657944","post","type-post","status-publish","format-standard","has-post-thumbnail","category-economy","tag-au","tag-australia","tag-business","tag-economy"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/657944","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=657944"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/657944\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/657945"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=657944"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=657944"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=657944"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n
\n ![\"Chart](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2025\/09\/magnify-clip.png\" "\\"Enlarge")
<\/a>
\nEmployment rate declines in April
<\/p>\n
\n ![\"Chart](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/cg260508a001-eng.png\" "\\"Enlarge")
\n <\/a><\/p>\n
\n
\n <\/a>
\nEmployment rate by age group, April\u00a02026
<\/p>\n
\n ![\"Thumbnail](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/g260508a001-eng.png\" "\\"Enlarge")
\n <\/a><\/p>\n
\n
\n <\/a>
\nUnemployment rate increases to\u00a06.9% in April
<\/p>\n
\n ![\"Chart](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/cg260508a002-eng.png\" "\\"Enlarge")
\n <\/a><\/p>\n
\n
\n <\/a>
\nUnemployment rate by age group, April\u00a02026
<\/p>\n
\n ![\"Thumbnail](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/g260508a002-eng.png\" "\\"Enlarge")
\n <\/a><\/p>\n
\n
\n <\/a>
\nEmployment change by industry, April\u00a02026
<\/p>\n
\n ![\"Chart](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/cg260508a003-eng.png\" "\\"Enlarge")
\n <\/a><\/p>\n
\n
\n <\/a>
\nUnemployment rate by province and territory, April\u00a02026
<\/p>\n
\n ![\"Thumbnail](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/mc260508a001-eng.png\" "\\"Enlarge")
\n <\/a><\/p>\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\nSustainable Development Goals<\/p>\n![](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/05_SDG_EN.png\"\/ "\\"Goal")
\n![](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/08_SDG_EN.png\"\/ "\\"Goal")
\n![](\"https:\/\/www.newsbeep.com\/au\/wp-content\/uploads\/2026\/05\/09_SDG_EN.png\"\/ "\\"Goal")
<\/p>\n
\n \u00a0\u00a0Note to readers
\n <\/p>\n
\n
\nProducts
<\/p>\n