Analysis of ‘3.17 Community Services Programs (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/7d0b904f-e944-469c-b647-2d2ba1ade6cb on 11 February 2022.

--- Dataset description provided by original source is as follows ---

This dataset comes from the Annual Community Survey questions about satisfaction with Community Service Programs. The Community Survey question relating to the Community Services Programs performance measure: "Please rate your level of satisfaction with each of the following: a) Quality of Before & After School (Kid Zone) programs; b) Quality of City library programs & services; c) Quality of City recreation programs & services; d) Quality of Tempe Center for the Arts programs." Respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (responses of "don't know" are excluded).

The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.

This page provides data for the Community Services Programs performance measure.

The performance measure dashboard is available at 3.17 Community Services Programs.

Additional Information

Source: Community Attitude Survey (Vendor: ETC Institute)

Contact: Wydale Holmes

Contact E-Mail: wydale_holmes@tempe.gov

Data Source Type: Excel and PDF Report

Preparation Method: Extracted from Annual Community Survey results

Publish Frequency: Annual

Publish Method: Manual

Data Dictionary

--- Original source retains full ownership of the source dataset ---

Community Analyst Layer: Sports & Entertainment

Analysis of ‘Community Districts’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/5a56b56a-a46f-4b43-ad6b-cf87e06103b9 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

GIS data: Boundaries of Community Districts.

All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

--- Original source retains full ownership of the source dataset ---

Community Analyst Report Template. This infographic contains data provided by U.S. Census (2000, 2010, 2020), Esri (2023, 2028), ACS (2017-2021).

Analysis of ‘Community Reporting Areas’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/73623efd-3088-49c7-b51b-cdbc119b2af8 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

Community reporting areas (CRAs) are designed to address a gap that existed in city geography. The task of reporting citywide information at a "community-like level" across all departments was either not undertaken or it was handled in inconsistent ways across departments. The CRA geography provides a "common language" for geographic description of the city for reporting purposes. Therefore, this geography may be used by departments for geographic reporting and tracking purposes, as appropriate. The following criteria for a CRA geography were defined for this effort: -no overlapping areas; -complete coverage of the city; -suitable scale to represent neighborhood areas/conditions; -reasonably stable over time; -consistent with census geography; -relatively easy to use in a data context; -familiar system of common place names; and, -respects neighborhood district geography. The following existing geographies were reviewed during this effort: -neighborhood planning areas (DON); -neighborhood districts (DON/CNC/Neighborhood District Councils); -city sectors/neighborhood plan implementation areas (DON); -urban centers/urban villages (DPD); -population sub-areas (DPD); -Neighborhood Map Atlas (City Clerk); -Census 2000 geography; -topography; and, -various other geographic information sources related to neighborhood areas and common place names. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

--- Original source retains full ownership of the source dataset ---

Average Household Amount Spent on Food, as forcasted for 2021

Community Analyst Layer: Professional, Scientific & Technical Service

Analysis of ‘Community Development Projects by Agency, Program Area and Funding Source’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/425e2144-d57f-4998-af46-3e1f46f15cd6 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This data details community development projects funded by the Mayor’s Office of Housing and Community Development (MOHCD) by funded agency, program area, and funding source for Fiscal Year 2018-2019 as of June 30, 2019.

--- Original source retains full ownership of the source dataset ---

This file contains total hits per keyword expressed as percentage of total hits for the eight domains of the human well-being index. Additional categorical data is given for each community planning document based on publicly available demographic data for the community. These demographic data include population size, proportion of population in a series of categories: education level, median income, and race. Additional categorical variables are community assignment based on a community typology. A full description of the community typology can be found in the associated supplementary material. This dataset is associated with the following publication: Fulford, R., M. Russell, J. Harvey, and M. Harwell. Sustainability at the community level: Searching for common ground as a part of a national strategy for decision support. U.S. Environmental Protection Agency, Washington, DC, USA, 2016.

Analysis of ‘ANR Lands - Natural Communities’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/305c9c08-f4fb-4ba3-923e-c5c4fd4366e7 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

--- Original source retains full ownership of the source dataset ---

Community Analyst Layer: Industrial & Manufacturing

Analysis of ‘Demographics by Community District’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/ad28160a-7fa6-4703-90ca-a3e16d8d83ba on 26 January 2022.

--- Dataset description provided by original source is as follows ---

This dataset provides a Demographic breakdown of only DYCD-funded participants within Community District of NYC. The data displays the counts, and percentages of the participants in each of the following categories: ● Gender (Male, Female, Unknown) ● Ethnicity (Hispanic/Latino, non-Hispanic/non-Latino) ● Race (Pacific Islander, American Indian, Asian, White, Black, Other, Unknown) This data is used to measure the numbers of the different population groups that are served by DYCD for a Borough, and Community.

--- Original source retains full ownership of the source dataset ---

Community Analyst Layer: Places to Eat

Analysis of ‘Map of NYCHA Community Facilities’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/069edd40-5431-4bc8-9ffa-b22615e76a80 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Locations of the Community Operations facilities as of September 2015.

--- Original source retains full ownership of the source dataset ---

This dataset contains demographic figures for each Fulton County Commission District. Data are derived primarily from Esri as estimated from Community Analyst.

Host biometric and parasite analysis raw data. TL= Total Length, TW= Total Weight, SL= Standard Length

The global Community Building Tool market is projected to grow from USD 415.6 million in 2025 to USD 1,765.4 million by 2033, at a CAGR of 24.2% during the forecast period. The rising need for community engagement and collaboration, increasing adoption of cloud-based platforms, and growing popularity of online communities are some of the key factors driving the growth of the market. Additionally, the increasing need to foster a sense of belonging and provide a platform for individuals to connect with like-minded people is further contributing to the market growth. The market is expected to witness significant growth in the Asia Pacific region, owing to the increasing adoption of digital technologies and the emerging trend of online communities in the region. The key market segments include deployment type, application, and region. Based on deployment type, the cloud-based segment is expected to hold a significant market share during the forecast period. This is attributed to the increasing adoption of cloud-based platforms due to their scalability, flexibility, and cost-effectiveness. Based on application, the large enterprises segment is expected to account for a larger market share due to the increasing demand for community building tools to facilitate communication, collaboration, and engagement within large organizations. Regionally, North America is expected to hold a major market share, followed by Europe and Asia Pacific. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to the rapid adoption of digital technologies and the growing population of internet users in the region.

This dataset consists of a file with results of community analyses from underwater video transects along the benthos at 14 sites between the Joubin Islands in the north and the Terra Firma Islands in the south.

Analysis of ‘Roscommon Community Parks’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/77e567d9-f336-45b8-bcd0-b87f7b76ce98 on 13 January 2022.

--- Dataset description provided by original source is as follows ---

Public and Community Parks in County Roscommon.

--- Original source retains full ownership of the source dataset ---

Community Analyst Layer: Public Administration