Provinces in Spain. — provinces

A simple features object with the provinces in Spain and selected demographic and economic information.

Usage

data(provinces_spain)

Format

A simple features dataframe with 50 rows and 15 columns:

province: Names of provinces in Spain as factor
CCAA: Names of Autonomous Communities in Spain as factor
ID_INE: National Institute of Statistics unique identifier of the provinces
Population: Population in the province in 2020
Density: Population density in the province in persons/km^2
Older: Percentage of population 65 and older in the provice in 2020
Median_Age: Median age of population in the province in 2020
Male2Female: Ratio of male to female population in the province in 2020
GDPpc: GDP per capita in the province in 2016
Transit: Dummy variable for mass transit system in province; 1: YES
Area: Area of the province
Altitude: Altitude of the province
Coast: A dummy variable that indicates whether the province is in the coast; 1: YES
Meteo_Station: Identifier of meteorological station representative of the province used to retrieve climatic variables
geometry: geometry of the simple features object

Source

Instituto Nacional de Estadistica http://www.ine.es/

Climatic data: Agencia Estatal de Meteorologia http://www.aemet.es/

Páez et al. (2020)

References

Paez, A., Lopez, F.A., Menezes, T., Cavalcanti, R., & Pitta, M. (2020). A Spatio‐Temporal Analysis of the Environmental Correlates of COVID‐19 Incidence in Spain. Geographical Analysis. 53(3) 397-421

Examples

 data(provinces_spain)
 summary(provinces_spain)
#>              province                    CCAA        ID_INE     
#>  Albacete        : 1   Castilla y Leon     : 9   Min.   : 1.00  
#>  Alicante/Alacant: 1   Andalucia           : 8   1st Qu.:13.25  
#>  Almeria         : 1   Castilla - La Mancha: 5   Median :25.50  
#>  Araba/alava     : 1   CataluÃ±a           : 4   Mean   :25.50  
#>  Asturias        : 1   Galicia             : 4   3rd Qu.:37.75  
#>  Avila           : 1   Aragon              : 3   Max.   :50.00  
#>  (Other)         :44   (Other)             :17                  
#>    Population         Density           Older         Median_Age   
#>  Min.   :  88636   Min.   :  8.60   Min.   :15.16   Min.   :40.19  
#>  1st Qu.: 337901   1st Qu.: 26.18   1st Qu.:18.09   1st Qu.:42.45  
#>  Median : 684202   Median : 63.50   Median :19.93   Median :43.70  
#>  Mean   : 974257   Mean   :140.04   Mean   :21.03   Mean   :44.55  
#>  3rd Qu.:1149460   3rd Qu.:171.64   3rd Qu.:23.03   3rd Qu.:46.00  
#>  Max.   :6663394   Max.   :829.76   Max.   :31.36   Max.   :50.68  
#>                                                                    
#>   Male2Female         GDPpc          Transit       Altitude          Coast     
#>  Min.   : 91.59   Min.   :16666   Min.   :0.0   Min.   :   5.0   Min.   :0.00  
#>  1st Qu.: 95.52   1st Qu.:18878   1st Qu.:0.0   1st Qu.:  24.5   1st Qu.:0.00  
#>  Median : 98.06   Median :20870   Median :0.0   Median : 215.5   Median :0.00  
#>  Mean   : 97.83   Mean   :22506   Mean   :0.1   Mean   : 369.0   Mean   :0.42  
#>  3rd Qu.:100.01   3rd Qu.:25835   3rd Qu.:0.0   3rd Qu.: 677.5   3rd Qu.:1.00  
#>  Max.   :103.01   Max.   :36001   Max.   :1.0   Max.   :1131.0   Max.   :1.00  
#>                                                                                
#>  Meteo_Station      Area                    geometry 
#>  0016A  : 1    Min.   :1.979e+09   MULTIPOLYGON :50  
#>  0076   : 1    1st Qu.:6.707e+09   epsg:4326    : 0  
#>  0367   : 1    Median :1.001e+10   +proj=long...: 0  
#>  1024E  : 1    Mean   :1.012e+10                     
#>  1082   : 1    3rd Qu.:1.370e+10                     
#>  1111X  : 1    Max.   :2.179e+10                     
#>  (Other):44