The py_streetcrime data frame has 1248 rows and 11 columns.
The observations are monthly counts for five typical street crimes such as
theft, aggravated theft, robbery, aggravated robbery, and aggravated
robbery resulting in death time series. The data correspond to
Asuncion (central branch) and their respective branches (barrial1,
barrial2 etc.), as well as the cities of Concepcion, Encarnacion, and
Ciudad del Este.
The definitions of these crimes are according to the Paraguayan Penal
Code. The time series cover the years 2014 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 1248 rows and 11 variables:
- rowid
index
- country
Country name
- ISO
Country ISO code
- branch
Branch of the Public Ministry
- area
Administrative area of the branch
- year_month
Date variable in %Y-%m-%d format
- theft
Count value corresponding to the respective time period and branch.
- theftagg
Count value corresponding to the respective time period and branch.
- robbery
Count value corresponding to the respective time period and branch.
- robberyagg
Count value corresponding to the respective time period and branch.
- robbery_death
Count value corresponding to the respective time period and branch.
Source
Public Ministry (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.