Mexico

NetIndex provides you with a few great ways to visualize our comprehensive global broadband and mobile performance data, our licensable data product, NetMetrics, gives your organization the ability to dive even deeper. Powered by millions of verified Ookla Speedtest results from around the globe, each record contains over 20 individual data points such as GPS or GeoIP location, ISP, throughput, latency, OS, browser, device and more. Gain unparalleled insight into cable, DSL, and fiber performance, as well as cellular 3G/4G and LTE connectivity around the world.

... confidentialFor reasons of privacy protection, cells with less than 10 cases of citizenship by municipality have been marked with three dots. Starting from 1750 Population statistics have been digitized into PDF format in the National Library's Doria service: Publications on Population structure and Vital statistics in Doria (in Finnish) Publications on Population censuses in Doria (in Finnish) --- Description of statistic Quality descriptions Concepts and definitionsAreaThese statistics apply the regional division of 1 January 2019 to the whole time series. Data for merged municipalities have been combined. Partial municipal mergers have not been taken into account in the years preceding the merger.NationalityCountries (ISO 3166). The used classification of continents is the classification of Eurostat, where Cyprus and Turkey belong to Europe. In the classification of continents, Europe does not include the figures for Finland. Non-autonomous states are combined with the mother country. Czech Republic = Czech Republic + Former Czechoslovakia Sudan = Sudan + Former Sudan If a person has two nationalities and one of them is Finnish, he/she will be included in statistics as a Finnish national. --- HDI = Human Development Index Ranking according to the 2016 HDI index by country: The former Soviet Union is included in the Russia HDI category The former Czechoslovakia is included in the Czech Republic HDI category The former Yugoslavia and Serbia and Montenegro are included in the Serbia HDI categoryInformationPopulation 31 DecPopulation at the end of the statistical reference period.

Data cited at NUMBEO Numbeo is the world’s largest database of user-contributed data about cities and countries worldwide. Numbeo provides current and timely information on world living conditions including cost of living, housing indicators, health care, traffic, crime and pollution. For more information please check http://www.numbeo.com/cost-of-living/rankings_by_country.jsp   About dataset: These indices are relative to New York City (NYC). Which means that for New York City, each index should be 100(%). If another city has, for example, rent index of 120, it means rents in average in that city are 20% more expensive than in New York City. If a city has rent index of 70, that means in the average in that city rents are 30% less expensive than in New York City. Cost of Living Index (Excl. Rent) is a relative indicator of consumer goods price, including groceries, restaurants, transportation and utilities. Cost of Living Index doesn't include accommodation expenses such as rent or mortgage. If a city has a Cost of Living Index of 120, it means Numbeo estimates it is 20% more expensive than New York (excluding rent). Rent Index is estimation of prices of renting apartments in the city compared to New York City. If Rent index is 80, Numbeo estimates that price for renting in that city is 80% of price in New York. Groceries Index is an estimation of grocery prices in the city compared to New York City. To calculate this section, Numbeo uses "Markets"section of each city. Restaurants Index is a comparison of prices of meals and drinks in restaurants and bars compared to NYC. Cost of Living Plus Rent Index is an estimation of consumer goods prices including rent in the city comparing to New York City. Local Purchasing Power shows relative purchasing power in buying goods and services in a given city for the average wage in that city. If domestic purchasing power is 40, this means that the inhabitants of that city with the average salary can afford to buy 60% less typical goods and services than New York City residents with an average salary.

The OECD, in cooperation with the EU, has developed a harmonised definition of urban areas which overcomes previous limitations linked to administrative definitions (OECD, 2012). According to this definition an urban area is a functional economic unit characterised by densely inhabited “city core” and “commuting zone” whose labour market is highly integrated with the core. The Metropolitan database provides indicators of 649 OECD metropolitan areas identified in 33 OECD countries and the functional urban areas of Colombia. Comparable values of population, GDP, employment, and other indicators are presented.

Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualisation.

Air pollution is considered one of the most pressing environmental and health issues across OECD countries and beyond. According to the World Health Organisation (WHO), exposure to fine particulate matter (PM2.5) has potentially the most significant adverse effects on health compared to other pollutants. PM2.5 can be inhaled and cause serious health problems including both respiratory and cardiovascular disease, having its most severe effects on children and elderly people. Exposure to PM2.5 has been shown to considerably increase the risk of heart disease and stroke in particular. For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator. The underlying PM2.5 concentrations estimates are taken from van Donkelaar et al. (2016). They have been derived using satellite observations and a chemical transport model, calibrated to global ground-based measurements using Geographically Weighted Regression at 0.01° resolution. The underlying population data, Gridded Population of the World, version 4 (GPWv4) are taken from the Socioeconomic Data and Applications Center (SEDAC) at the NASA. The underlying boundary geometries are taken from the Global Administrative Unit Layers (GAUL) developed by the FAO, and the OECD Territorial Classification, when available. The current version of the database presents much more variation with respect to the previous one. The reason is that the underlying concentration estimates previously included smoothed multi-year averages and interpolations; while in the current version annual concentration estimates are used. Establishing trends of pollution exposure should be done with care, especially at smaller output areas, as their inputs (e.g. underlying data and models) can change from year to year. We recommend using a 3-year moving average for visualization.

This data set provides meaningful forums for exchanging up-to-date best practices to address current issues, impacting cities, and to develop global awareness among the next generation through cross-national interactive educational programs designed to enhance their ability to act as global citizens

Data on liquid biofuels production capacities cover the following products: biogasoline, biodiesels, bio jet kerosene and other liquid biofuels. They are displayed in the database in thousands of tonnes. Data collection covers the full spectrum of the 28 Member States of the European Union.

Ipsos Top Cities 2017: The 2017 edition of the Ipsos Top Cities Index finds that New York is the most popular city worldwide, retaining the title it claimed when the survey was first run in 2013.   This year sees Abu Dhabi leapfrogging London and Paris into second position, with Tokyo, Sydney and Zurich on the same score in equal fifth.   People in 26 countries worldwide were asked which, from a list of 60 global cities, they felt were best to live in, do business in, and visit. The scores from the three questions were then added together to create the Ipsos Cities Index.   The cities in the global top five have unique strengths; New York and Abu Dhabi are unparalleled as centres for business but they score less strongly as a place to live or visit, whilst Paris tops the global list of tourism destinations but rates comparatively poorly as a business hub, failing to reach the top 10 on this measure. London and Tokyo have rounded profiles, scoring more evenly across the three dimensions, while Zurich and Sydney’s strength is derived from their high scores as top cities to live in.   The remaining top ten positions this year are occupied by Rome, Los Angeles and Amsterdam. The cities at the bottom of this year’s ranking are Nairobi and Tehran. 

Data cited at: (https://www.numbeo.com/cost-of-living/historical-prices-by-city?displayCurrency=USD&year=2016&itemId=13)

The TomTom Traffic Index is published to provide drivers, industry and policy makers with unbiased information about congestion levels in urban areas. Now in its 6th year, we’re offering even more insight into why our urban centers are congested, putting the issue into context, and offering ideas about how the problem can be alleviated. This year, TomTom is also celebrating those cities that deserve special recognition for their efforts to beat traffic congestion, with the TomTom Traffic Index awards.

The GEO Data Portal is the authoritative source for data sets used by UNEP and its partners in the Global Environment Outlook (GEO) report and other integrated environment assessments. The GEO Data Portal gives access to a broad socio-economic data sets from authoritative sources at global, regional, sub-regional and national levels. The contents of the Data Portal cover environmental themes such as climate, forests and freshwater and many others, as well as socioeconomic categories, including education, health, economy, population and environmental policies.

Note: The data is no longer available to the Public. It requires an account with WCCD to access data. 

The Youth Economic Strategy (YES) Index is part of a Citi Foundation initiative that aims to inspire policymakers, the private sector and key stakeholders to improve opportunities for youth aged 13 to 25. The YES index, which was commissioned by the Citi Foundation and created by The Economist Intelligence Unit, evaluates the economic environment for youth in 35 cities across the world by measuring the drivers and enablers which promote youth economic opportunities- that is, the prospect that a young person can improve his/her economic situation. The index is based on 31 indicators, both quantitative and qualitative and mostly city-based, and offers a robust and comprehensive look at youth-focused policies around the world. The research was conducted between January 2015 and May 2015. Note : Score Range: Score 70.1-100 = Advanced, 50.1-70 = Progressing, 30.1-50 = Emerging, 0-30 = Nascent