In 2025, approximately 23 million people lived in the São Paulo metropolitan area, making it the biggest in Latin America and the Caribbean and the sixth most populated in the world. The homonymous state of São Paulo was also the most populous federal entity in the country. The second place for the region was Mexico City with 22.75 million inhabitants. Brazil's cities Brazil is home to two large metropolises, only counting the population within the city limits, São Paulo had approximately 11.45 million inhabitants, and Rio de Janeiro around 6.21 million inhabitants. It also contains a number of smaller, but well known cities such as Brasília, Salvador, Belo Horizonte and many others, which report between 2 and 3 million inhabitants each. As a result, the country's population is primarily urban, with nearly 88 percent of inhabitants living in cities. Mexico City Mexico City's metropolitan area ranks sevenths in the ranking of most populated cities in the world. Founded over the Aztec city of Tenochtitlan in 1521 after the Spanish conquest as the capital of the Viceroyalty of New Spain, the city still stands as one of the most important in Latin America. Nevertheless, the preeminent economic, political, and cultural position of Mexico City has not prevented the metropolis from suffering the problems affecting the rest of the country, namely, inequality and violence. Only in 2023, the city registered a crime incidence of 52,723 reported cases for every 100,000 inhabitants and around 24 percent of the population lived under the poverty line.

In 2024, the perception of insecurity in Mexico City stood at approximately 47.49 percent. Between 2011 and 2024, the figure dropped by around 1.09 percentage points, though the decline followed an uneven course rather than a steady trajectory.

Population projections for Pacific Island Countries and territories from 1950 to 2050, by sex and by 5-years age groups.

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Number of Immigrants: Ciudad de Mexico data was reported at 47.305 Person th in 2015. This records a decrease from the previous number of 50.735 Person th for 2010. Number of Immigrants: Ciudad de Mexico data is updated yearly, averaging 42.714 Person th from Dec 1975 (Median) to 2015, with 9 observations. The data reached an all-time high of 51.408 Person th in 1980 and a record low of 28.303 Person th in 1975. Number of Immigrants: Ciudad de Mexico data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G008: Number of Immigrants.

Population densities for Pacific Island Countries and Territories based on mid-year population projections and available informaiton about land area.

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Number of Emigrants: Ciudad de Mexico data was reported at 53.883 Person th in 2015. This records a decrease from the previous number of 83.006 Person th for 2010. Number of Emigrants: Ciudad de Mexico data is updated yearly, averaging 53.883 Person th from Dec 1975 (Median) to 2015, with 9 observations. The data reached an all-time high of 151.896 Person th in 2000 and a record low of 24.689 Person th in 1975. Number of Emigrants: Ciudad de Mexico data remains active status in CEIC and is reported by National Population Council. The data is categorized under Global Database’s Mexico – Table MX.G007: Number of Emigrants.

Brazil Working Age Population: Labour Force: Unemployed: Distrito Fed (DF) data was reported at 226.000 Person th in Mar 2020. This records an increase from the previous number of 208.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Unemployed: Distrito Fed (DF) data is updated quarterly, averaging 166.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 233.000 Person th in Mar 2019 and a record low of 119.000 Person th in Jun 2012. Brazil Working Age Population: Labour Force: Unemployed: Distrito Fed (DF) data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA012: Continuous National Household Sample Survey: Working Age Population: Labour Force: Unemployed: by Sex.

Background: Clean water is an essential part of human healthy life and wellbeing. More recently, rapid population growth, high illiteracy rate, lack of sustainable development, and climate change; faces a global challenge in developing countries. The discontinuity of drinking water supply forces households either to use unsafe water storage materials or to use water from unsafe sources. The present study aimed to identify the determinants of water source types, use, quality of water, and sanitation perception of physical parameters among urban households in North-West Ethiopia.

Methods: A community-based cross-sectional study was conducted among households from February to March 2019. An interview-based a pretested and structured questionnaire was used to collect the data. Data collection samples were selected randomly and proportional to each of the kebeles' households. MS Excel and R Version 3.6.2 were used to enter and analyze the data; respectively. Descriptive statistics using frequencies and percentages were used to explain the sample data concerning the predictor variable. Both bivariate and multivariate logistic regressions were used to assess the association between independent and response variables.

Results: Four hundred eighteen (418) households have participated. Based on the study undertaken,78.95% of households used improved and 21.05% of households used unimproved drinking water sources. Households drinking water sources were significantly associated with the age of the participant (x2 = 20.392, df=3), educational status(x2 = 19.358, df=4), source of income (x2 = 21.777, df=3), monthly income (x2 = 13.322, df=3), availability of additional facilities (x2 = 98.144, df=7), cleanness status (x2 =42.979, df=4), scarcity of water (x2 = 5.1388, df=1) and family size (x2 = 9.934, df=2). The logistic regression analysis also indicated that those factors are significantly determining the water source types used by the households. Factors such as availability of toilet facility, household member type, and sex of the head of the household were not significantly associated with drinking water sources.

Conclusion: The uses of drinking water from improved sources were determined by different demographic, socio-economic, sanitation, and hygiene-related factors. Therefore, ; the local, regional, and national governments and other supporting organizations shall improve the accessibility and adequacy of drinking water from improved sources in the area.

Brazil Working Age Population: Labour Force: Employed: Distrito Fed (DF) data was reported at 1,428.000 Person th in Mar 2020. This records a decrease from the previous number of 1,451.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Employed: Distrito Fed (DF) data is updated quarterly, averaging 1,370.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 1,456.000 Person th in Sep 2019 and a record low of 1,288.000 Person th in Jun 2012. Brazil Working Age Population: Labour Force: Employed: Distrito Fed (DF) data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA008: Continuous National Household Sample Survey: Working Age Population: Labour Force: Employed: by Sex.

Brazil Working Age Population: Labour Force: Unemployed: DF: Female data was reported at 134.000 Person th in Mar 2020. This records an increase from the previous number of 116.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Unemployed: DF: Female data is updated quarterly, averaging 93.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 134.000 Person th in Mar 2020 and a record low of 70.000 Person th in Sep 2012. Brazil Working Age Population: Labour Force: Unemployed: DF: Female data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA012: Continuous National Household Sample Survey: Working Age Population: Labour Force: Unemployed: by Sex.

Brazil Working Age Population: Labour Force: Unemployed: DF: Male data was reported at 91.000 Person th in Mar 2020. This records a decrease from the previous number of 92.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Unemployed: DF: Male data is updated quarterly, averaging 71.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 103.000 Person th in Mar 2019 and a record low of 47.000 Person th in Jun 2012. Brazil Working Age Population: Labour Force: Unemployed: DF: Male data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA012: Continuous National Household Sample Survey: Working Age Population: Labour Force: Unemployed: by Sex.

Brazil Working Age Population: Labour Force: Employed: DF: Male data was reported at 774.000 Person th in Mar 2020. This records an increase from the previous number of 759.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Employed: DF: Male data is updated quarterly, averaging 731.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 774.000 Person th in Mar 2020 and a record low of 684.000 Person th in Sep 2012. Brazil Working Age Population: Labour Force: Employed: DF: Male data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA008: Continuous National Household Sample Survey: Working Age Population: Labour Force: Employed: by Sex.

Brazil Working Age Population: Labour Force: Employed: DF: Female data was reported at 654.000 Person th in Mar 2020. This records a decrease from the previous number of 691.000 Person th for Dec 2019. Brazil Working Age Population: Labour Force: Employed: DF: Female data is updated quarterly, averaging 635.000 Person th from Mar 2012 (Median) to Mar 2020, with 33 observations. The data reached an all-time high of 695.000 Person th in Jun 2019 and a record low of 597.000 Person th in Mar 2012. Brazil Working Age Population: Labour Force: Employed: DF: Female data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Global Database’s Brazil – Table BR.GBA008: Continuous National Household Sample Survey: Working Age Population: Labour Force: Employed: by Sex.

（停止更新）劳动年龄人口：劳动力：失业：DF在03-01-2020达226.000千人，相较于12-01-2019的208.000千人有所增长。（停止更新）劳动年龄人口：劳动力：失业：DF数据按季更新，03-01-2012至03-01-2020期间平均值为166.000千人，共33份观测结果。该数据的历史最高值出现于03-01-2019，达233.000千人，而历史最低值则出现于06-01-2012，为119.000千人。CEIC提供的（停止更新）劳动年龄人口：劳动力：失业：DF数据处于定期更新的状态，数据来源于Instituto Brasileiro de Geografia e Estatística，数据归类于全球数据库的巴西 – Table BR.GBA012: Continuous National Household Sample Survey: Working Age Population: Labour Force: Unemployed: by Sex。

（停止更新）劳动年龄人口：劳动力：就业人口：DF在03-01-2020达1,428.000千人，相较于12-01-2019的1,451.000千人有所下降。（停止更新）劳动年龄人口：劳动力：就业人口：DF数据按季更新，03-01-2012至03-01-2020期间平均值为1,370.000千人，共33份观测结果。该数据的历史最高值出现于09-01-2019，达1,456.000千人，而历史最低值则出现于06-01-2012，为1,288.000千人。CEIC提供的（停止更新）劳动年龄人口：劳动力：就业人口：DF数据处于定期更新的状态，数据来源于Instituto Brasileiro de Geografia e Estatística，数据归类于全球数据库的巴西 – Table BR.GBA008: Continuous National Household Sample Survey: Working Age Population: Labour Force: Employed: by Sex。

BackgroundGlobally, 390 million dengue virus infections occur per year. In Malaysia, migrant workers are particularly vulnerable to dengue fever (DF) due to mosquito breeding sites exposure and poor health literacy. Therefore, this study aimed to (i) assess the current DF knowledge, attitudes and practices (KAP), and (ii) identify strategies to promote DF awareness, among migrant workers in Klang Valley.MethodA survey was conducted with 403 Nepali, Filipino and Indonesian migrant workers through phone interviews and online self-administered questionnaires. Piecewise structural equation modelling was applied to identify predictor variables for DF KAP.ResultsMost respondents were male, working in the services industry, had completed high school, aged between 30–39 years and with less than ten years work experience in Malaysia. Overall, respondents’ knowledge was positively correlated with attitude but negatively with practices. Older respondents, who had completed higher education, obtained higher knowledge scores. Similarly, those with working experience of >20 years in Malaysia obtained higher attitude scores. Respondents with a previous history of DF strongly considered the removal of mosquito breeding sites as their own responsibility, hence tended to frequently practise DF preventive measures. Respondents’ knowledge was also positively correlated to their understanding of DF information sourced from social media platforms.ConclusionThese findings highlighted: (i) the need for targeted DF educational intervention among younger and newly arrived workers with lower levels of education and (ii) maximising the usage of social media platforms to improve DF public awareness.