The py_weekly_crime data frame has 9390 rows and 7 columns.
The observations are weekly counts for six different crime types such
as theft, aggravated theft, robbery, aggravated robbery, domestic
violence, and land transit exposure (accidents).
The data correspond to the five largest Paraguayan cities at the
moment of data collection: Asuncion(capital), Ciudad del Este, Luque,
San Lorenzo, and Capiata.
The definitions of these crimes are according to the Paraguayan Penal Code. The time series cover the years 2016 to 2021.
This data set was used in a published paper analyzing street crime during the first total lockdown in the COVID-19 pandemic era in Paraguay.
Format
A data frame with 9390 rows and 7 variables:
- rowid
index
- country
Country name as a character string
- ISO
Country ISO code
- city
Factor variable of the city name
- category
Crime category, factor
- week
Reference period. Weekly data, starting on Monday
- crimes
Count value corresponding to the respective time period and category
Source
Public Ministry of Paraguay (MP). https://www.ministeriopublico.gov.py/
References
Schneider, A. (2024). Street crime during COVID-19: a retrospective comparison of two Latin American capitals, Revista Paraguay desde las Ciencias Sociales, 14, 73-91, https://publicaciones.sociales.uba.ar/index.php/revistaparaguay/article/view/9800.