About this Dataset

City Of Tempe 2022 Community Survey Data

Description and Purpose

These data include the individual responses for the City of Tempe Annual Community Survey conducted by ETC Institute. These data help determine priorities for the community as part of the City's on-going strategic planning process. Averaged Community Survey results are used as indicators for several city performance measures. The summary data for each performance measure is provided as an open dataset for that measure (separate from this dataset). The performance measures with indicators from the survey include the following (as of 2022):

1. Safe and Secure Communities

1.04 Fire Services Satisfaction
1.06 Crime Reporting
1.07 Police Services Satisfaction
1.09 Victim of Crime
1.10 Worry About Being a Victim
1.11 Feeling Safe in City Facilities
1.23 Feeling of Safety in Parks

2. Strong Community Connections

2.02 Customer Service Satisfaction
2.04 City Website Satisfaction
2.05 Online Services Satisfaction Rate
2.15 Feeling Invited to Participate in City Decisions
2.21 Satisfaction with Availability of City Information

3. Quality of Life

3.16 City Recreation, Arts, and Cultural Centers
3.17 Community Services Programs
3.19 Value of Special Events
3.23 Right of Way Landscape Maintenance
3.36 Quality of City Services

4. Sustainable Growth & Development

No Performance Measures in this category presently relate directly to the Community Survey

5. Financial Stability & Vitality

No Performance Measures in this category presently relate directly to the Community Survey

Methods

The survey is mailed to a random sample of households in the City of Tempe. Follow up emails and texts are also sent to encourage participation. A link to the survey is provided with each communication. To prevent people who do not live in Tempe or who were not selected as part of the random sample from completing the survey, everyone who completed the survey was required to provide their address. These addresses were then matched to those used for the random representative sample. If the respondent’s address did not match, the response was not used.

To better understand how services are being delivered across the city, individual results were mapped to determine overall distribution across the city.

Additionally, demographic data were used to monitor the distribution of responses to ensure the responding population of each survey is representative of city population.

Processing and Limitations

The location data in this dataset is generalized to the block level to protect privacy. This means that only the first two digits of an address are used to map the location. When they data are shared with the city only the latitude/longitude of the block level address points are provided. This results in points that overlap. In order to better visualize the data, overlapping points were randomly dispersed to remove overlap. The result of these two adjustments ensure that they are not related to a specific address, but are still close enough to allow insights about service delivery in different areas of the city.

This data is the weighted data provided by the ETC Institute, which is used in the final published PDF report.

The 2022 Annual Community Survey report is available on data.tempe.gov. The individual survey questions as well as the definition of the response scale (for example, 1 means “very dissatisfied” and 5 means “very satisfied”) are provided in the data dictionary.

Additional Information

Source: Community Attitude Survey

Contact (author): Wydale Holmes

Contact E-Mail (author): wydale_holmes@tempe.gov

Contact (maintainer): Wydale Holmes

Contact E-Mail (maintainer): wydale_holmes@tempe.gov

Data Source Type: Excel table

Preparation Method: Data received from vendor after report is completed

Publish Frequency: Annual

Publish Method: Manual

Data Dictionary
Organization: City of Tempe
Last updated: 2024-02-09T15:04:54.643195
Tags: community-attitude-survey, community-survey

Tables

Table 1

@usgov.city_of_tempe_city_of_tempe_2022_community_survey_data.table_1

315.86 KB
934 rows
269 columns


CREATE TABLE table_1 (
  "x" DOUBLE,
  "y" DOUBLE,
  "objectid" BIGINT,
  "q1_01_1_quality_of_local_fi" BIGINT,
  "q1_02_2_quality_of_medical" BIGINT,
  "q1_03_3_quality_of_ambulanc" BIGINT,
  "q1_04_4_quality_of_local_po" BIGINT,
  "q1_05_5_enforcement_of_loca" BIGINT,
  "q1_06_6_efforts_by_the_city" BIGINT,
  "q1_07_7_overall_feeling_of" BIGINT,
  "q1_08_8_feeling_of_safety_i" BIGINT,
  "q1_09_9_quality_and_safety" BIGINT,
  "q2_01_1_neighborhood_parks" BIGINT,
  "q2_02_2_city_parks_like_kiw" BIGINT,
  "q2_03_3_desert_parks_like_p" BIGINT,
  "q2_04_4_city_athletic_and_r" BIGINT,
  "q2_05_5_tempe_public_librar" BIGINT,
  "q2_06_6_city_hall" BIGINT,
  "q2_07_7_mill_avenue" BIGINT,
  "q2_08_8_businesses_theater" BIGINT,
  "q2_09_9_within_your_home_or" BIGINT,
  "q2b_01_10_neighborhood_par" BIGINT,
  "q2b_02_11_city_parks_like" BIGINT,
  "q2b_03_12_desert_parks_lik" BIGINT,
  "q2b_04_13_city_athletic_an" BIGINT,
  "q2b_05_14_tempe_public_lib" BIGINT,
  "q2b_06_15_city_hall" BIGINT,
  "q2b_07_16_mill_avenue" BIGINT,
  "q2b_08_17_businesses_thea" BIGINT,
  "q2b_09_18_within_your_home" BIGINT,
  "q3_01_1_getting_mugged" BIGINT,
  "q3_02_2_having_your_home_b" BIGINT,
  "q3_03_3_being_attacked_or" BIGINT,
  "q3_04_4_having_your_car_st" BIGINT,
  "q3_05_5_being_a_victim_of" BIGINT,
  "q4_01_1_have_you_been_robbed" BIGINT,
  "q4_02_1a_were_the_police_inf" DOUBLE,
  "q4_03_2_has_anyone_in_your_h" BIGINT,
  "q4_04_2a_were_the_police_inf" DOUBLE,
  "q4a_what_was_the_reason_it_was" DOUBLE,
  "q6_01_1_the_overall_quality" BIGINT,
  "q6_02_2_leadership_of_the_c" BIGINT,
  "q6_03_3_how_ethical_city_em" BIGINT,
  "q6_04_4_availability_of_inf" BIGINT,
  "q6_05_5_availability_of_inf" BIGINT,
  "q6_06_6_availability_of_inf" BIGINT,
  "q6_07_7_how_easy_tempe_311" BIGINT,
  "q6_08_8_overall_usefulness" BIGINT,
  "q6_09_9_usefulness_of_tempe" BIGINT,
  "q6_10_10_usefulness_of_temp" BIGINT,
  "q6_11_11_usefulness_of_temp" BIGINT,
  "q6_12_12_tempe_s_online_ser" BIGINT,
  "q6_13_13_your_ability_to_pa" BIGINT,
  "q6_14_14_how_well_the_city" BIGINT,
  "q6_15_15_overall_quality_of" BIGINT,
  "q7_01_1_how_courteous_and_re" BIGINT,
  "q7_02_2_the_hours_of_service" BIGINT,
  "q7_03_3_the_ability_of_the_c" BIGINT,
  "q7_04_4_the_call_taker_helpe" BIGINT,
  "q8_01_1_city_council_meeti" BIGINT,
  "q8_02_2_boards_and_commiss" BIGINT,
  "q8_03_3_city_elections_el" BIGINT,
  "q8_04_4_campaign_finance_a" BIGINT,
  "q8_05_5_open_books_financ" BIGINT,
  "q8_06_6_open_data" BIGINT,
  "q8_07_7_city_s_performance" BIGINT,
  "q8_08_8_city_public_meetin" BIGINT,
  "q9_have_you_contacted_the_city" BIGINT,
  "q9a_01_1_were_you_treated_fa" DOUBLE,
  "q9a_02_2_did_the_employee_s" DOUBLE,
  "q9a_03_3_did_the_employee_ca" DOUBLE,
  "q9a_04_4_was_the_employee_ho" DOUBLE,
  "q9a_05_5_was_the_information" DOUBLE,
  "q9a_06_6_did_staff_respond_t" DOUBLE,
  "q10_01_1_fire_services" DOUBLE,
  "q10_02_2_tempe_public_libra" DOUBLE,
  "q10_03_3_parks" DOUBLE,
  "q10_04_4_walking_biking_tra" DOUBLE,
  "q10_05_5_cit5_athletic_fiel" DOUBLE,
  "q10_06_6_kid_zone" DOUBLE,
  "q10_07_7_police_services" DOUBLE,
  "q10_08_8_bus_orbit_light" DOUBLE,
  "q10_09_9_cit9_golf_courses" DOUBLE,
  "q10_10_10_cit10_swimming_po" DOUBLE,
  "q10_11_11_kiwanis_recreatio" DOUBLE,
  "q10_12_12_tempe_311" DOUBLE,
  "q10_13_13_tempe_histor13_mu" DOUBLE,
  "q10_14_14_tempe_center_for" DOUBLE,
  "q10_15_15_recreation_progra" DOUBLE,
  "q10_16_16_performing_and_vi" DOUBLE,
  "q10_17_17_arts_in_the_parks" DOUBLE,
  "q10_18_18_household_product" DOUBLE,
  "q10_19_19_escalante_multi_g" DOUBLE,
  "q10_20_20_north_temple_mult" DOUBLE,
  "q10_21_21_westside_multi_ge" DOUBLE,
  "q10_22_22_p22le_adult_recre" DOUBLE,
  "q10_23_23_human_services" DOUBLE,
  "q10_24_24_solid_waste_tras" DOUBLE,
  "q10_25_25_residential_permi" DOUBLE,
  "q10_26_26_emergenc26_medica" DOUBLE
);