#Population density us map pdf#
#Population density us map pro#
#Population density us map download#

With the Holland polygon used as a background, the results should like this: You now have a layer with only the grid cells containing more than 523 people per square km.

Next, right-click the Population per sq/km in Holland feature class in the Contents pane and choose Selection -> Make Layer from Selected Features. Add a Where Clause: WHERE TOT_P_2018 is greater than 523. Under “Selection Type”, choose “New Selection”. Under input rows, make sure the current feature class name is selected. To do this, open the attribute table of the lastly created feature class in Step 2 and click “Select by Attributes” on the ribbon interface under “Map”. We can use that information to filter only the grid cells in our data to see where population density exceeds this number. Research learns that the mean population density in the Netherlands per square km is 523 people. The total population for that cell is listed in the TOT_P_2018 field. If you open the attribute table of the resulting feature class created in Step 2 with the Clip tool, you will see that each cell is 1 x 1 km (area field). To map the population density of the entire country, we now have everything we need: a dataset of grid cells covering the entire country. STEP 3: Make a sub-selection of the current dataset Deselect the JRC_POPULATION_2018 feature class in the Contents pane. The output feature class contains only the population density grid cells for Holland.

For the output feature class name, type “Population per sq/km in Holland”. Next, apply the Clip tool using the JRC_POPULATION_2018 file as input feature dataset and the Holland polygon as Clip features. Name it “Holland” and deselect the ne_10m_admin_0_countries.shp in the contents pane. Next, choose the Select Geoprocessing tool and run it to create a new feature class of that selected feature. To do this, you can draw a rectangle on the map using the Select tool in the Map menu on the ribbon interface. This is why we’ll make a selection of the data and analyze this: we’ll pick The Netherlands and only analyze data for this country. The EUROSTAT shapefile contains more than 2 million rows and is quite large.

Ne_10m_admin_0_countries.shp (found in 10m_cultural subfolder in the Natural Earth quick start kit).

JRC_POPULATION_2018.shp (found in the JRC_GRID_2018 folder from EUROSTAT).

Add the following files to the map window:

#Population density us map pro#

Open ArcGIS Pro and create a new, empty project. Do the same for the Natural Earth quick start kit, which has polygon files for each country in the world.

#Population density us map pdf#

Refer to the PDF inside the data folder for an explanation of what the data represents.

#Population density us map download#

Download the file here and unzip to a local file folder. The EUROSTAT organization offers a shapefile containing population data for the whole European Union in grid sizes of 1 x 1km. This method of classification is common in mapping population density because it finds natural breaks in datasets by minimizing variance within groups and maximizing variance between groups, allowing you to easily visualize differences in population density throughout a specific region. In this tutorial, we’ll use population density data from the European Union to map population density values using the Natural Breaks (Jenks) method of classification. ArcGIS Pro offers some powerful functionality to map population density.