Context This is a dataset comprising of the __380 municipalities__ in __the Netherlands__, which is a country in __Western Europe__ with a population of approximately __17 million people__. While Holland's population size is comparable to a country like Chile, the area that the Dutchmen have to share only comprises of __41,543 square kilometers__, of which more than 18% consists of water (Chile: 756,096 square kilometers). Nonetheless, the Netherlands is the world's __second-largest exporter of food and agricultural products__. 'The Netherlands' literally translates to: 'lower countries', strongly influenced by the __flat geography__ that characterises its lands. It is widely known as a peaceful and tolerant place to live and work, consequently ranking high in international indexes. According to the UN, the Netherlands is the __sixth-happiest country in the world__ (United Nations World Happiness Report, 2017). *** ![enter image description here][1] _The municipality of Amsterdam._ *** Content __Rows (380):__ - The 380 different municipalities in the Netherlands. __Columns (30):__ - __municipality:__ the name of the municipality. - __province:__ the name of the province that the municipality lies in. - __latitude:__ the latitude of the municipality. - __longitude:__ the longitude of the municipality. - __surface_km2:__ the surface (total area) of the municipality (land & water) in surface kilometers. - __surface_land_km2:__ the surface (total area) of the municipality (land only) in surface kilometers. - __surface_water_km2:__ the surface (total area) of the municipality (water only) in surface kilometers. - __population:__ the total population of the municipality. - __avg_household_income_2012:__ the average household income within the municipality in 2012 (€). - __avg_woz_2014:__ the average house value within the municipality in 2014 (€). - __ww_ratio_2014:__ the ratio of people that received unemployment benefits within the municipality in 2014. - __murders_2014:__ the amount of murders that took place within the municipality in 2014. - __university:__ a binary variable that indicates whether a Government Supported University lies within the borders of the municipality. - __asylum_migrants_1999:__ the amount of asylum migrants that settled in the municipality in 1999. - __asylum_migrants_2000:__ the amount of asylum migrants that settled in the municipality in 2000. - __asylum_migrants_2001:__ the amount of asylum migrants that settled in the municipality in 2001. - __asylum_migrants_2002:__ the amount of asylum migrants that settled in the municipality in 2002. - __asylum_migrants_2003:__ the amount of asylum migrants that settled in the municipality in 2003. - __asylum_migrants_2004:__ the amount of asylum migrants that settled in the municipality in 2004. - __asylum_migrants_2005:__ the amount of asylum migrants that settled in the municipality in 2005. - __asylum_migrants_2006:__ the amount of asylum migrants that settled in the municipality in 2006. - __asylum_migrants_2007:__ the amount of asylum migrants that settled in the municipality in 2007. - __asylum_migrants_2008:__ the amount of asylum migrants that settled in the municipality in 2008. - __asylum_migrants_2009:__ the amount of asylum migrants that settled in the municipality in 2009. - __asylum_migrants_2010:__ the amount of asylum migrants that settled in the municipality in 2010. - __asylum_migrants_2011:__ the amount of asylum migrants that settled in the municipality in 2011. - __asylum_migrants_2012:__ the amount of asylum migrants that settled in the municipality in 2012. - __asylum_migrants_2013:__ the amount of asylum migrants that settled in the municipality in 2013. - __asylum_migrants_2014:__ the amount of asylum migrants that settled in the municipality in 2014. - __asylum_migrants_2015:__ the amount of asylum migrants that settled in the municipality in 2015. *** ![enter image description here][2] _The municipality of Rotterdam._ *** [1]: https://images.unsplash.com/photo-1468436385273-8abca6dfd8d3?ixlib=rb-0.3.5&ixid=eyJhcHBfaWQiOjEyMDd9&s=e71160983b3af78d30b19751a9574ce4&auto=format&fit=crop&w=1294&q=80 [2]: https://images.unsplash.com/photo-1442407144300-e48b9dfe446b?ixlib=rb-0.3.5&ixid=eyJhcHBfaWQiOjEyMDd9&s=f3a19c8886500efe7e0dccc2a9b8ebe7&auto=format&fit=crop&w=1350&q=80