Monthly and long-term Mexico Unemployment data: historical series and analyst forecasts curated by FocusEconomics.

Out of the total 1.49 million unemployed persons in Mexico in the first quarter of 2025, approximately 710.300 were jobless because their previous contract had ended or had been terminated. Furthermore, 198,690 unemployed people had no work experience.

Unemployment Rate in Mexico decreased to 2.60 percent in October from 3 percent in September of 2025. This dataset provides the latest reported value for - Mexico Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Mexico Coverage: Unemployment Benefits & Active Labour Market Programs: % of Population: 3rd Quintile data was reported at 0.469 % in 2022. This records a decrease from the previous number of 0.919 % for 2020. Mexico Coverage: Unemployment Benefits & Active Labour Market Programs: % of Population: 3rd Quintile data is updated yearly, averaging 0.694 % from Dec 2020 (Median) to 2022, with 2 observations. The data reached an all-time high of 0.919 % in 2020 and a record low of 0.469 % in 2022. Mexico Coverage: Unemployment Benefits & Active Labour Market Programs: % of Population: 3rd Quintile data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Social: Social Protection and Insurance. Coverage of unemployment benefits and active labor market programs (ALMP) shows the percentage of population participating in unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.;ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/);;

Mexico Benefit Incidence: Unemployment Benefits & Active Labour Market Programs (ALMP) to Poorest Quintile: % of Total Unemployment/ALMP Benefits data was reported at 13.129 % in 2022. This records a decrease from the previous number of 15.995 % for 2020. Mexico Benefit Incidence: Unemployment Benefits & Active Labour Market Programs (ALMP) to Poorest Quintile: % of Total Unemployment/ALMP Benefits data is updated yearly, averaging 14.562 % from Dec 2020 (Median) to 2022, with 2 observations. The data reached an all-time high of 15.995 % in 2020 and a record low of 13.129 % in 2022. Mexico Benefit Incidence: Unemployment Benefits & Active Labour Market Programs (ALMP) to Poorest Quintile: % of Total Unemployment/ALMP Benefits data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Social: Social Protection and Insurance. Benefit incidence of unemployment benefits and active labor market programs (ALMP) to poorest quintile shows the percentage of total unemployment and active labor market programs benefits received by the poorest 20% of the population. Unemployment benefits and active labor market programs include unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.;ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/);;

Mexico Adequacy: Unemployment Benefits & Active Labour Market Programs: % of Total Welfare of Beneficiary Households data was reported at 15.773 % in 2022. This records an increase from the previous number of 14.729 % for 2020. Mexico Adequacy: Unemployment Benefits & Active Labour Market Programs: % of Total Welfare of Beneficiary Households data is updated yearly, averaging 15.251 % from Dec 2020 (Median) to 2022, with 2 observations. The data reached an all-time high of 15.773 % in 2022 and a record low of 14.729 % in 2020. Mexico Adequacy: Unemployment Benefits & Active Labour Market Programs: % of Total Welfare of Beneficiary Households data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Social: Social Protection and Insurance. Adequacy of unemployment benefits and active labor market programs (ALMP) is measured by the total transfer amount received by the population participating in unemployment benefits and active labor market programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Unemployment benefits and active labor market programs include unemployment compensation, severance pay, and early retirement due to labor market reasons, labor market services (intermediation), training (vocational, life skills, and cash for training), job rotation and job sharing, employment incentives and wage subsidies, supported employment and rehabilitation, and employment measures for the disabled. Estimates include both direct and indirect beneficiaries.;ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/);;

BackgroundIn an effort to prevent continued increases in obesity and diabetes, in January 2014, the Mexican government implemented an 8% tax on nonessential foods with energy density ≥275 kcal/100 g and a peso-per-liter tax on sugar-sweetened beverages (SSBs). Limited rigorous evaluations of food taxes exist worldwide. The objective of this study was to examine changes in volume of taxed and untaxed packaged food purchases in response to these taxes in the entire sample and stratified by socioeconomic status (SES).Methods and FindingsThis study uses data on household packaged food purchases representative of the Mexican urban population from The Nielsen Company’s Mexico Consumer Panel Services (CPS). We included 6,248 households that participated in the Nielsen CPS in at least 2 mo during 2012–2014; average household follow-up was 32.7 mo. We analyzed the volume of purchases of taxed and untaxed foods from January 2012 to December 2014, using a longitudinal, fixed-effects model that adjusted for preexisting trends to test whether the observed post-tax trend was significantly different from the one expected based on the pre-tax trend. We controlled for household characteristics and contextual factors like minimum salary and unemployment rate. The mean volume of purchases of taxed foods in 2014 changed by -25 g (95% confidence interval = -46, -11) per capita per month, or a 5.1% change beyond what would have been expected based on pre-tax (2012–2013) trends, with no corresponding change in purchases of untaxed foods. Low SES households purchased on average 10.2% less taxed foods than expected (-44 [–72, –16] g per capita per month); medium SES households purchased 5.8% less taxed foods than expected (-28 [–46, –11] g per capita per month), whereas high SES households’ purchases did not change. The main limitations of our findings are the inability to infer causality because the taxes were implemented at the national level (lack of control group), our sample is only representative of urban areas, we only have 2 y of data prior to the tax, and, as with any consumer panel survey, we did not capture all foods purchased by the household.ConclusionsHousehold purchases of nonessential energy-dense foods declined in the first year after the implementation of Mexico’s SSB and nonessential foods taxes. Future studies should evaluate the impact of the taxes on overall energy intake, dietary quality, and food purchase patterns (see S1 Abstract in Spanish).

Climate change, urbanization, and global trade have contributed to the recent spread of dengue viruses. In this study, we investigate the relationship between dengue occurrence in humans, climate factors (temperature and minimum quarterly rainfall), socio-economic factors (such as household income, regional rates of education, regional unemployment, housing overcrowding, life expectancy, and medical resources), and demographic factors (such as migration flows, age structure of the population, and population density). From a geographical perspective, this study focuses on Mexico and parts of the United States to exploit similarity in climate conditions and differences in socio-economic and demographic factors, so as to try to isolate the role of the latter. Areas at risk of dengue are first selected based on the predicted presence of at least one of the two mosquito vectors responsible for dengue's transmission: Aedes aegypti and Aedes albopictus. The presence of the mosquito in a region...