crime: Data on Crime Victimization in Latin America, 2018

In hail2thief/ladata: Data Sets for Teaching Data Science

Data on Crime Victimization in Latin America, 2018

Description

2018 LAPOP survey of experiences with and exposure to crime in select Latin American countries. The variables are as follows:

• pais. Country.

• ed. Respondent years of schooling (0 to 18+ years).

• jc10. Agreement with: "a coup is justified when crime is high".

• aoj11. Perception of neighborhood insecurity.

• q1. Respondent sex.

• aoj12. Confidence that judiciary will punish the guilty.

• b18. Trust in national police (1 = not at all, 7 = a lot).

• infrax. Perception of police response time.

• e16. Approval of vigilante justice (1 = strongly disapprove, 10 = strongly approve).

• aoj22. Opinion on the best approach to reduce crime.

• q3c. Respondent religion.

• q5b. Importance of religion to respondent.

• q10new_14. Monthly household income (0 = no income, 16 = highest income; see LAPOP codebook).

• etid. Ethnicity.

• vic1ext. Was respondent a victim of a crime in the last 12 months? (1 = yes, 0 = no).

• vicbar7. Have there been any murders in the last 12 months in your neighborhood? (1 = yes, 0 = no).

Usage

data(crime)

Format

A (tibble) data frame with 24,308 rows and 16 variables.

Source

Latin American Public Opinion Project. Wave: 2018.

hail2thief/ladata documentation built on Sept. 9, 2024, 1:28 p.m.