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1,151 to 1,160 of 1,169 Results
May 18, 2022
ARELLANO, MEGAN; EVERETT, MICHAEL; JOHNSON, HOPE; MARQUEZ, NEIL; TYAGI, ERIKA; WOYCZYNSKI, LAUREN, 2022, "Correctional and Detention Facility Dataset", https://doi.org/10.25346/S6/DX1E22, UCLA Dataverse, V1, UNF:6:kPfssKmCbQr87nGFEBnSOg== [fileUNF]
There are very few national datasets on correctional and detention facilities in the U.S. The UCLA team developed these datasets to uniformly describe the entities reported by various government agencies by combining information from various sources.
Tabular Data - 563.8 KB - 25 Variables, 2296 Observations - UNF:6:4nMM538gF3kujnNklqiPug==
Individual facilities
Tabular Data - 524.9 KB - 5 Variables, 6310 Observations - UNF:6:wrnrSciNVVYpEjH6akhrYA==
Alternate spellings for some facilities, with an identifier to connect to the individual facility
Tabular Data - 169.3 KB - 9 Variables, 1105 Observations - UNF:6:V5iBT43kQVOa/Jrs4cIXTA==
Markdown Text - 11.6 KB - MD5: f38fdd8f506869df077b079962c599ba
Study methodology, data definitions, and caveats
May 11, 2022
ARELLANO, MEGAN; MANSON, JOSHUA; DEWOLF, LIZ; RAJESHWAR, POORNIMA; TYAGI, ERIKA, 2022, "COVID-19 Data Transparency Scorecard for State Departments of Correction, ICE and BOP", https://doi.org/10.25346/S6/AKZA0X, UCLA Dataverse, V1, UNF:6:rCEVZTFuxuNB7FFZlux8gw== [fileUNF]
Grades the transparency and quality of state prisons, federal prisons and immigration detention as it pertains to their COVID-19 data reporting using a proprietary methodology developed by the project.
Tabular Data - 12.6 KB - 24 Variables, 55 Observations - UNF:6:1xRnWIgtvNthFu2yLvVHmQ==
Tabular Data - 13.3 KB - 25 Variables, 53 Observations - UNF:6:4pjqsfwr9u+4x3qjTLSmnA==
Tabular Data - 12.4 KB - 23 Variables, 54 Observations - UNF:6:j6bS7m7a7LJyhP0FvDjyaQ==
Tabular Data - 14.9 KB - 28 Variables, 53 Observations - UNF:6:c5qUgD1a7T2JnBQGwttlpA==
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