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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.

Data cited at: Numbeo Methodology: The Index has been calculated twice per year by considering the latest 36 months. A). Beginning of the Year and B). Mid Year Crime Index is an estimation of the overall level of crime in a given city or a country. We consider crime levels lower than 20 as very low, crime levels between 20 and 40 as being low, crime levels between 40 and 60 as being moderate, crime levels between 60 and 80 as being high and finally crime levels higher than 80 as being very high. Safety index is, on the other way, quite the opposite of crime index. If the city has a high safety index, it is considered very safe.

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.

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.

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

Country: Estonia''Trailers'' include semi-trailers.Country: GermanyLorries, load capacity 5,000 kg - 6,999 kg refers to 5,000 kg to 7,499 kg. Lorries, load capacity 7,000 kg - 9,999 kg refers to 7,500 kg to 9,999 kg.Country: GreeceIncludes both new vehicles and used vehicles from abroad.Country: HungaryIncludes both new vehicles and used vehicles from abroad.Country: Hungary''Lorries'' includes special purpose motor vehicles.Country: ItalyLorries, load capacity 1,000-1,499 kg refers to 1,100-1,600 kg, 1,500-2,999 kg refers to 1,700-3,500 kg, 3,000-4,999 kg refers to 3,600-6,000 kg, 7,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000 kg and over refers to 18,100 kg and over.Semi-trailers, load capacity up to 4,999 kg refers to up to 6,000 kg, 5,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000-19,999 kg refers to 18,100-22,000 kg, 20,000 kg and over refers to 22,000 kg and over.Trailers, load capacity up to 4 999 kg refers to up to 6,000 kg, 5,000-9,999 kg refers to 6,100-9,000 kg, 10,000-14,999 kg refers to 9,100-18,000 kg, 15,000 kg and over refers to 18,100 kg.Country: LatviaIncludes vehicles that have been manufactured in the indicated or previous year only.Country: LithuaniaIncludes new and re-registered vehicles.Country: PortugalFrom 1996 new semi trailers include new trailers.Country: SerbiaRefers to number of first time registered vehicles in the previous 2 years.Country: SwedenNew trailers exclude caravans.Country: United KingdomData refer to Great Britain.Country: United StatesLorries refers to lorries over 10,000 pounds.Vehicle Category: New light goods vehiclesIncludes all lorries

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 dataset provides homicide data by countries. Intentional homicide is defined as unlawful death purposefully inflicted on a person by another person