6 Results
filtered by...
Filter
Tags > padoc
Sort
Sort by Most Relevant
Filter
6 Results
filtered by
Tags > padoc
Clear All
The database was constructed from using the source “Sapphire Emar”. The raw data was condensed to remove any duplicate data that expressed the following: data rows with the same inmate name who had multiple of the same medications or multiple of the same medication type. Then the data sets were sorted by admission dates. Then grouped by quarters or years or both. After that, data was sorted by various descriptor columns: Age Range, Ethnicity, Gender and Drug type.
What is the story the data is telling? The data shows a significantly higher admission rate for Caucasians and Males. The data also shows the age range of 30-34 consistently has the highest percent admission rate. The data also shows a high percentage of inmates receive Vivitrol/Revia as opposed to Suboxone.
What to realize about this data? Although Males and Caucasians have a higher admission rate it is worth noting that this does not take into the account of how many inmates based on gender or ethnicity there are/were in the DOC at a given time. Regardless of Year the Inmate age peaks at 30-34 suggesting they are the most likely to seek treatment.
What is the story the data is telling? The data shows a significantly higher admission rate for Caucasians and Males. The data also shows the age range of 30-34 consistently has the highest percent admission rate. The data also shows a high percentage of inmates receive Vivitrol/Revia as opposed to Suboxone.
What to realize about this data? Although Males and Caucasians have a higher admission rate it is worth noting that this does not take into the account of how many inmates based on gender or ethnicity there are/were in the DOC at a given time. Regardless of Year the Inmate age peaks at 30-34 suggesting they are the most likely to seek treatment.
Updated
October 7 2020
Views
109
Filtered for Age Groupings total admissions. Delineation is not available prior to Year 2017.
Updated
October 7 2020
Views
31
Filtered for gender total admissions. Delineation is not available prior to Year 2017.
Updated
November 18 2020
Views
29
The database was constructed from using the source “Sapphire Emar”. The raw data was condensed to remove any duplicate data that expressed the following: data rows with the same inmate name who had multiple of the same medications or multiple of the same medication type. Then the data sets were sorted by admission dates. Then grouped by quarters or years or both. After that, data was sorted by various descriptor columns: Age Range, Ethnicity, Gender and Drug type.
What is the story the data is telling? The data shows a significantly higher admission rate for Caucasians and Males. The data also shows the age range of 30-34 consistently has the highest percent admission rate. The data also shows a high percentage of inmates receive Vivitrol/Revia as opposed to Suboxone.
What to realize about this data? Although Males and Caucasians have a higher admission rate it is worth noting that this does not take into the account of how many inmates based on gender or ethnicity there are/were in the DOC at a given time. Regardless of Year the Inmate age peaks at 30-34 suggesting they are the most likely to seek treatment.
What is the story the data is telling? The data shows a significantly higher admission rate for Caucasians and Males. The data also shows the age range of 30-34 consistently has the highest percent admission rate. The data also shows a high percentage of inmates receive Vivitrol/Revia as opposed to Suboxone.
What to realize about this data? Although Males and Caucasians have a higher admission rate it is worth noting that this does not take into the account of how many inmates based on gender or ethnicity there are/were in the DOC at a given time. Regardless of Year the Inmate age peaks at 30-34 suggesting they are the most likely to seek treatment.
Updated
November 18 2020
Views
28
Filtered for race & ethnicity demographics total admissions. Delineated data is not available prior to year 2017.
Updated
November 18 2020
Views
27
The database was constructed from using the source “Sapphire Emar”. The raw data was condensed to remove any duplicate data that expressed the following: data rows with the same inmate name who had multiple of the same medications or multiple of the same medication type. Then the data sets were sorted by admission dates. Then grouped by quarters or years or both. After that, data was sorted by various descriptor columns: Age Range, Ethnicity, Gender and Drug type.
What is the story the data is telling? The data shows a significantly higher admission rate for Caucasians and Males. The data also shows the age range of 30-34 consistently has the highest percent admission rate. The data also shows a high percentage of inmates receive Vivitrol/Revia as opposed to Suboxone.
What to realize about this data? Although Males and Caucasians have a higher admission rate it is worth noting that this does not take into the account of how many inmates based on gender or ethnicity there are/were in the DOC at a given time. Regardless of Year the Inmate age peaks at 30-34 suggesting they are the most likely to seek treatment.
What is the story the data is telling? The data shows a significantly higher admission rate for Caucasians and Males. The data also shows the age range of 30-34 consistently has the highest percent admission rate. The data also shows a high percentage of inmates receive Vivitrol/Revia as opposed to Suboxone.
What to realize about this data? Although Males and Caucasians have a higher admission rate it is worth noting that this does not take into the account of how many inmates based on gender or ethnicity there are/were in the DOC at a given time. Regardless of Year the Inmate age peaks at 30-34 suggesting they are the most likely to seek treatment.
Updated
November 18 2020
Views
10
Showing 1 to 6 of 6 results
Business Owners
A-Z
- Administrative Office of Pennsylvania Courts (AOPC)
- Department of Agriculture (DAG)
- Department of Community and Economic Development (DCED)
- Department of Conservation and Natural Resources (DCNR)
- Department of Corrections (DOC)
- Department of Drug and Alcohol Programs (DDAP)
- Department of Education (PDE)
- Department of Environmental Protection (DEP)
- Department of Health (DOH)
- Department of Human Services (DHS)
- Department of Labor and Industry (DLI)
- Department of Military and Veterans Affairs (DMVA)
- Department of Revenue (DOR)
- Department of State (DOS)
- Department of Transportation (PDOT)
- Governor's Office
- Office of Administration (OA)
- Office of Performance through Excellence
- Office of the State Fire Commissioner (OSFC)
- Other Open Data Portals
- PA Commission on Crime and Delinquency
- Pennsylvania Emergency Management Agency (PEMA)
- Pennsylvania Health Care Cost Containment Council (PHC4)
- Pennsylvania Historical and Museum Commission
- Pennsylvania State Police
- Public Utility Commission (PUC)
- State System of Higher Education
Tags
A-Z
- 19 (1)
- abstinence (4)
- abuse (7)
- access (3)
- accountability (5)
- act (1)
- addiction (3)
- address (1)
- admission (3)
- adult (2)
- advance (1)
- ag (2)
- age (1)
- agriculture (6)
- aids (1)
- air (5)
- alcohol (10)
- allegheny (2)
- allocation (1)
- animal (1)
- aopc (1)
- applicant (1)
- application (1)
- arrest (1)
- assault (1)
- assessments (1)
- asset (1)
- assistance (7)
- attainment (2)
- autism (2)
- balance (1)
- balanced and restorative justice (5)
- ballot (3)
- barrier (2)
- base (2)
- behavioral (2)
- birth (6)
- bite (2)
- borough (1)
- boudary (1)
- boundary (7)
- box (1)
- bridge (3)
- broadband (1)
- bronze (1)
- budget (2)
- buprenorphine (2)
- business (4)
- call (2)
- campaign (5)
- cancer (1)
- candidate (4)
- capacity (1)
- capital (1)
- care (14)
- career (9)
- careerlink (2)
- case (1)
- case closing (1)
- cdc (2)
- cems (1)
- census (4)
- center (1)
- centroid (1)
- certificate (2)
- certification (1)
- chemical (1)
- chester (1)
- child (12)
- children (4)
- chip (1)
- chronic (2)
- cigarette (1)
- cip (2)
- citizen (1)
- city (3)
- closed (1)
- cms (1)
- college (1)
- command (1)
- commission (1)
- committee (4)
- community (8)
- community protection (3)
- commuter (1)
- company (1)
- compensation (1)
- competency (1)
- competency development (5)
- competitive (1)
- complettions (1)
- congress (1)
- congressional (1)
- conservation (4)
- contract (1)
- contributions (1)
- coronavirus (1)
- corporation (1)
- correction (3)
- corrections (11)
- counties (1)
- county (17)
- court (6)
- coverage (1)
- covid (6)
- covid-19 (4)
- covid19 (2)
- crash (1)
- crawford (1)
- credential rate (2)
- credit (1)
- criminal (6)
- cte (1)
- culture (1)
- customer (2)
- dangerous (1)
- dauphin (1)
- dced (11)
- dcnr (1)
- ddap (5)
- death (10)
- debt (2)
- deficient (2)
- degree (1)
- degree. passhe. program (1)
- degrees (1)
- delaware (1)
- delinquency (1)
- deliquency (1)
- delivery (2)
- demand (3)
- dep (11)
- department (2)
- deployment (1)
- development (5)
- dhs (27)
- diagnosed (1)
- diagnosis (1)
- disability (3)
- disclosure (5)
- disease (9)
- dislocated worker (1)
- disorder (17)
- dispensation (3)
- disposition (2)
- distribution (1)
- district (2)
- districts (1)
- dli (2)
- doa (1)
- doc (12)
- dog (3)
- doh (24)
- dollar (1)
- dor (3)
- dos (10)
- dose (1)
- drink (1)
- drinks (1)
- drug (68)
- drug hospital (1)
- drugs (1)
- e-cig (1)
- early (1)
- early childhood (1)
- earn (1)
- economic (6)
- economy (8)
- ed (1)
- education (43)
- efficiency (3)
- eis (2)
- election (6)
- elevation (1)
- emergency (5)
- emission (2)
- emissions (1)
- employ (1)
- employee (2)
- employment (6)
- employment rate (2)
- ems (1)
- energy (3)
- enforcement (1)
- engineering (1)
- enroll (1)
- enrollment (19)
- entry-level (1)
- environment (9)
- environmental (2)
- epa (1)
- epidemic (2)
- erie (1)
- esri (2)
- establish (1)
- excellence (1)
- exchange (1)
- exemption (1)
- expansion (2)
- expenditure (1)
- expenditures (2)
- expense (2)
- expense. account (1)
- experienced-level (1)
- facility (6)
- families (1)
- family (14)
- farm (2)
- fatal (2)
- fcc (1)
- federal (3)
- feeding (1)
- female (1)
- fentanyl (1)
- finance (5)
- financial (1)
- fine wine and good spirits (1)
- fips (1)
- fire (1)
- fixed-route bus (1)
- food (4)
- force (4)
- forest (1)
- fracking (1)
- frequency (2)
- fuel (1)
- fund (2)
- funding (1)
- fw&gs (1)
- fwgs (1)
- gap (2)
- gas (1)
- gender (1)
- general (2)
- geo (1)
- geographic (1)
- geospatial (26)
- gis (27)
- goal (15)
- government (13)
- governor (17)
- growth (2)
- handler (1)
- hazard (4)
- head start (1)
- health (53)
- help (2)
- hep (1)
- hepatitis (2)
- heroin (11)
- higher (1)
- historical (1)
- history (1)
- hiv (2)
- home (2)
- hospital (19)
- hospitalization (2)
- hotel occupancy (1)
- hotline (2)
- house (1)
- housing (2)
- hssap (1)
- human (12)
- hydrology (1)
- idu (1)
- incarcerated (6)
- incident (1)
- income (1)
- individual (1)
- industry (3)
- industry credentials (1)
- industry partnership (1)
- infection (1)
- informatics (1)
- infrastructure (3)
- injection (1)
- injury (1)
- inmate (11)
- inspection (3)
- inspections (1)
- institution (3)
- institutions (1)
- insurance (8)
- intake (2)
- intellectual (2)
- intelligence (1)
- intercity bus (1)
- intercity rail (1)
- intermediate (1)
- internet (1)
- interview (1)
- inventory (1)
- jcjc (5)
- job (12)
- jobs (6)
- judge (1)
- justice (7)
- juvenile (5)
- juvenile justice (4)
- juvenile justice system enhancement strategy (5)
- kennel (1)
- keystone (2)
- kinship (1)
- l&i (2)
- labor (8)
- labor and industry (1)
- labor exchange (2)
- land (2)
- landfill (1)
- lands (1)
- lat (1)
- latitude (1)
- laus (1)
- law (1)
- lcb (1)
- lean (2)
- learning (1)
- license (5)
- licensee (1)
- liquor (1)
- livestock (1)
- living (1)
- lobbying (1)
- lobbyist (2)
- local (13)
- location (2)
- long (2)
- longitude (1)
- lottery (1)
- lotto (1)
- ma (5)
- mail (2)
- male (1)
- map (11)
- marcellus (1)
- markers (1)
- market (2)
- mat (9)
- maternal (5)
- math (1)
- meal (1)
- measurable skill gains (2)
- measure (1)
- median earnings (2)
- medicaid (11)
- medical (7)
- medicare (2)
- medicate (1)
- medication (11)
- mental (1)
- methadone (1)
- metric (1)
- military (1)
- mine (1)
- miti (1)
- mitigation (1)
- monitoring (3)
- montgomery (1)
- morphine (1)
- mortality (1)
- municipal (1)
- municipality (9)
- munstats (1)
- museum (1)
- naloxone (8)
- narcan (2)
- narcon (1)
- narcotics (1)
- nas (6)
- natural (1)
- nature (1)
- nei (2)
- neonatal (6)
- neonate (2)
- new spudded well (1)
- newborn (1)
- nuclear (1)
- nutrition (3)
- occupation (3)
- ocdel (7)
- ocyf (5)
- official (1)
- oil (1)
- oil and gas (1)
- open (2)
- opioid (98)
- opioid use disorder (3)
- opioid use related diseases (1)
- opioid, drug, oud, disease, health, disorder, doh (1)
- opioids (2)
- opium (1)
- oud (31)
- out of home placement (3)
- outcomes (2)
- overdose (16)
- pa (1)
- padoc
- pain (5)
- pantry (2)
- parcel (2)
- park (2)
- parole (3)
- partnerships (1)
- party (1)
- pasda (1)
- passhe (3)
- payment (1)
- pbpp (2)
- pde (9)
- pdot (5)
- penndot (2)
- pennsylvania (2)
- performance (5)
- perkins (1)
- permit (1)
- pet (1)
- pharmacy (1)
- phc4 (16)
- phil (1)
- philadelphia (1)
- philly (1)
- phmc (1)
- pid (4)
- pittsburgh (2)
- pkc (1)
- placement (1)
- plan (1)
- plaques (1)
- plcb (1)
- poison (1)
- police (3)
- pollutant (2)
- pollutants (1)
- population (6)
- portal (2)
- post (1)
- postsecondary (2)
- poverty (1)
- pre-k (1)
- pregancy (1)
- pregnancies (1)
- pregnancy (2)
- prepare (1)
- prescribe (2)
- prescribing (1)
- prescription (2)
- prevalence (1)
- prevention (2)
- primary (1)
- private (2)
- prizes (1)
- probation (3)
- produce (1)
- production (1)
- productivity (3)
- professional (1)
- profile (1)
- program (2)
- protection (2)
- provider (6)
- psp (1)
- public (8)
- public safety (1)
- public transit (1)
- puc (1)
- quality (2)
- radiation (2)
- radon (2)
- rcra (1)
- re-entry (2)
- reading (1)
- rearrest (1)
- receipt (1)
- recidivism (1)
- recovery (1)
- reentry (2)
- refresh (2)
- regional (1)
- regional rail (1)
- regions (1)
- registration (2)
- regulated (1)
- regulation (1)
- reincarceration (1)
- release (1)
- repair (1)
- repaired (1)
- replace (1)
- replaced (1)
- rescue (2)
- resident (2)
- resource (1)
- resources (1)
- responder (1)
- restaurant (1)
- result (1)
- retailer (1)
- retention (1)
- revenue (4)
- reversal (1)
- ride (1)
- risky (1)
- road (2)
- rural transportation (1)
- safe (3)
- safety (6)
- salary (1)
- sales (1)
- sales tax (1)
- samhsa (1)
- sample (1)
- sca (1)
- schedule (2)
- school (26)
- school performance (1)
- school profile (1)
- science (1)
- sd (1)
- sdwis (1)
- secondary (3)
- seizure (1)
- senate (1)
- senior (1)
- service (8)
- services (4)
- shale (1)
- shared-ride (1)
- skill (1)
- skills (3)
- slots (2)
- snap (1)
- spatial (26)
- special (5)
- speed (1)
- spending (3)
- spirits (1)
- stamps (1)
- stars (1)
- state (9)
- state stores (1)
- statistics (1)
- status (2)
- stem (1)
- strategy (1)
- structurally (1)
- structure (2)
- suboxone (6)
- substance (5)
- summer (1)
- supplier (1)
- supply (2)
- support (1)
- syndrome (4)
- syndromic (1)
- system (1)
- take (1)
- tax (4)
- teach (1)
- technical (4)
- term (1)
- test (2)
- ticket (1)
- title i (1)
- title iii (1)
- tobacco (2)
- township (1)
- toxin (2)
- train (1)
- training (10)
- transporation (1)
- transportation (8)
- treatment (16)
- trend data (2)
- undergraduate (1)
- unemployment (3)
- uninsured (4)
- update (2)
- usda (1)
- use (2)
- value (1)
- vape (1)
- vaping (1)
- vehicle (1)
- veteran (1)
- violation (1)
- violator (1)
- virus (4)