Police Sentiment Survey (detail) - (Deprecated)
City of Tempe
@usgov.city_of_tempe_police_sentiment_survey_detail_4aa21
City of Tempe
@usgov.city_of_tempe_police_sentiment_survey_detail_4aa21
Please see data table https://data.tempe.gov/datasets/tempegov::police-sentiment-survey-detail-1/about for continued data updates. This table was deprecated 11/3/2022.
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This data supports the 1.05 Feeling of Safety in Your Neighborhood and 2.06 Police Trust Score performance measures.
This data is the result of a community survey of approximately 500 residents collected electronically and monthly by Elucd on behalf of Tempe Police Department. The scores are provided to TPD monthly in PDF form, and are then transferred to Excel for Open Data.
The trust score is a 0 to 100 measure, and is a combination of two questions: How much do you agree with this statement? The police in my neighborhood treat people with respect. How much do you agree with this statement? The police in my neighborhood listen to and take into account the concerns of local residents.
The safety score is a 0 to 100 measure, and scores residents' feelings of safety in their neighborhood.
The performance measure pages are available at 1.05 Feeling of Safety in Your Neighborhood and 2.06 Police Trust Score.
Additional Information
Source: Elucd
Contact (author): Carlena Orosco
Contact E-Mail (author): Carlena_Orosco@tempe.gov
Contact (maintainer): Carlena Orosco
Contact E-Mail (maintainer): Carlena_Orosco@tempe.gov
Data Source Type: Excel
Preparation Method: This data is from a citizen survey collected monthly by Elucd and provided in Excel for publication.
Publish Frequency: Monthly
Publish Method: Manual
Data Dictionary
Organization: City of Tempe
Last updated: 2024-02-09T15:02:44.033698
Tags: 1-05-feeling-of-safety-in-your-neighborhood, 2-06-police-trust-score, police, police-encounter, strong-community-connections
CREATE TABLE table_1 (
"start_date" TIMESTAMP,
"org_level" BIGINT,
"level_0" VARCHAR,
"level_1" VARCHAR,
"level_2" VARCHAR,
"safety" DOUBLE,
"safety_race_african_american" DOUBLE,
"safety_race_asian_american" DOUBLE,
"safety_race_other" DOUBLE,
"safety_race_hispanic" DOUBLE,
"safety_race_white" DOUBLE,
"safety_age_low" DOUBLE,
"safety_age_medium" DOUBLE,
"safety_age_high" DOUBLE,
"safety_sex_female" DOUBLE,
"safety_sex_male" DOUBLE,
"safety_education_low" DOUBLE,
"safety_education_medium" DOUBLE,
"safety_education_high" DOUBLE,
"safety_income_low" DOUBLE,
"safety_income_medium" DOUBLE,
"safety_income_high" DOUBLE,
"trust" DOUBLE,
"trust_race_african_american" DOUBLE,
"trust_race_asian_american" DOUBLE,
"trust_race_other" DOUBLE,
"trust_race_hispanic" DOUBLE,
"trust_race_white" DOUBLE,
"trust_age_low" DOUBLE,
"trust_age_medium" DOUBLE,
"trust_age_high" DOUBLE,
"trust_sex_female" DOUBLE,
"trust_sex_male" DOUBLE,
"trust_education_low" DOUBLE,
"trust_education_medium" DOUBLE,
"trust_education_high" DOUBLE,
"trust_income_low" DOUBLE,
"trust_income_medium" DOUBLE,
"trust_income_high" DOUBLE,
"objectid" BIGINT
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