mexico_2025_q2safety_govperformance
507,363 responses from 23,717 respondents to 23 items.
About this table
| Description | Resident evaluations of local and federal government security performance, Q2 2025 |
|---|
| Reference | INEGI. Encuesta Nacional de Seguridad Pública Urbana (ENSU) 2023. INEGI |
|---|
| Licence | Permission via Email |
|---|
| Source data | https://www.inegi.org.mx/programas/ensu/ |
|---|
Size and shape
| Responses | 507,363 |
|---|
| Respondents | 23,717 |
|---|
| Items | 23 |
|---|
| Response categories | 5 |
|---|
| Responses per respondent | 21.392 |
|---|
| Responses per item | 22059.261 |
|---|
| Density | 0.930 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Adult (18+) |
|---|
| sample | General/non-specific |
|---|
| construct type | Opinion/attitude |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Mixed |
|---|
| primary language(s) | spa |
|---|
| construct name | Government Performance |
|---|
Columns
cov_agecov_sexiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mexico_2025_q2safety_govperformance")
# Python
pip install irw
import irw
df = irw.fetch("mexico_2025_q2safety_govperformance")
Version and provenance
| IRW version | v393 |
|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
|---|
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
|---|
| Manifest pin for this IRW version | v19.0 |
|---|
| Metadata source | irw_meta v23.0 |
|---|