- What is the Population Rate of Change?
- What is the Population Density?
- What is the Land Area?
- What is the Percent who did not finish the 9th grade?
- What is the Median Earnings?
- What is the Number of Employees?
- What is the Crime incident count?
- What is the Water Area?
- What is the High School Graduation Rate?
- What is the Median Female Earnings?
The population count of Blue Island, IL was 22,446 in 2016.
Demographics and Population Datasets Involving Blue Island, IL
- API opendata.utah.gov | Last Updated 2014-10-31T18:29:13.000Z
Median Household Income All States 2000-2012
- API opendata.utah.gov | Last Updated 2015-03-17T17:38:04.000Z
Number Of Minor Effect Illnesses From Exposure To All Pesticides By States
- API opendata.utah.gov | Last Updated 2015-03-17T17:59:52.000Z
Incidence Of Brain And Central Nervous System Cancer Age 15 Under Per 1,000,000 All States
- API opendata.utah.gov | Last Updated 2015-03-17T17:35:10.000Z
Rates Of Esophageal Cancer Per 100,000 All States
- API opendata.utah.gov | Last Updated 2015-09-29T20:19:54.000Z
Incidence Rate Of Leukemia Per 100,000 All States
- API opendata.utah.gov | Last Updated 2015-03-17T17:55:38.000Z
Incidence Rate Of Pancreatic Cancer Per 100,000 All States
- API opendata.utah.gov | Last Updated 2015-03-17T17:57:26.000Z
Incidence Rate Of Melanoma Per 100,000 All States
- API data.cityofchicago.org | Last Updated 2017-12-07T17:15:53.000Z
The information displayed represents a de-identified listing of arrest data from August 1, 2012 to July 31, 2016, that is used by the Chicago Police Department’s Strategic Subject Algorithm, created by the Illinois Institute of Technology and funded through a Department of Justice Bureau of Justice Assistance grant, to create a risk assessment score known as the Strategic Subject List or “SSL.” These scores reflect an individual’s probability of being involved in a shooting incident either as a victim or an offender. Scores are calculated and placed on a scale ranging from 0 (extremely low risk) to 500 (extremely high risk). Based on this time frame’s version of the Strategic Subject Algorithm, individuals with criminal records are ranked using eight attributes, not including race or sex. These attributes are: number of times being the victim of a shooting incident, age during the latest arrest, number of times being the victim of aggravated battery or assault, number of prior arrests for violent offenses, gang affiliation, number of prior narcotic arrests, trend in recent criminal activity and number of prior unlawful use of weapon arrests. Please note that this data set includes fields that are not used to calculate SSL, for example, neither race nor sex are used in the Strategic Subject Algorithm. Portions of the arrest data are de-identified on the basis of privacy concerns. The attributes used in the Strategic Subject Algorithm are updated as the model is revised on an ongoing basis. The data set below will be updated periodically to reflect these revisions.
- API opendata.utah.gov | Last Updated 2015-03-17T17:59:10.000Z
Incidence Rate Of Larynx Cancer Per 100,000 All States
- API data.cms.gov | Last Updated 2017-10-31T15:20:02.000Z
The 2013 Referring Durable Medical Equipment, Prosthetics, Orthotics and Supplies (DMEPOS) Public Use File (herein referred to as “Referring Provider DMEPOS PUF”) presents information on DMEPOS products and services provided to Medicare beneficiaries ordered by physicians and other healthcare professionals. The Referring Provider DMEPOS PUF contains data on utilization, payment (allowed amount and Medicare payment), and submitted charges organized by National Provider Identifier (NPI), Healthcare Common Procedure Coding System (HCPCS) code and supplier rental indicator. This PUF is based on information from CMS administrative claims data for Medicare beneficiaries enrolled in the fee-for-service program available from the CMS Chronic Condition Data Warehouse (www.ccwdata.org). The data in the Referring Provider DMEPOS PUF covers calendar year 2013 and contains final-action (i.e., all claim adjustments have been resolved) Part B non-institutional DMEPOS line items for the Medicare fee-for-service (FFS) population. While the Referring Provider DMEPOS PUF has a wealth of information on payment and utilization for Medicare DMEPOS services, the dataset has a number of limitations. Of particular importance is the fact that the data may not be representative of a physician’s entire practice as it only includes information on Medicare fee-for-service beneficiaries. In addition, the data are not intended to indicate the quality of care provided and are not risk-adjusted to account for differences in underlying severity of disease of patient populations. For additional limitations, please review the methodology document available below.