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Count and Rate of Newly Diagnosed Cases of Hepatitis C per 1,000 Individuals with Drug Use Disorder January 2016 - Current Annual County Health
This indicator includes the count and rate of newly diagnosed cases of Hepatitis C per 1,000 individuals estimated to have Drug Use Disorder.
Columns
| Name | Socrata field name | Column name in sgr mount | Data type | Description |
|---|---|---|---|---|
| Drug Use Disorder Estimate Notes | oud_notes | oud_notes | Text | Indicates if the estimated number of individuals with Drug Use Disorder has been suppressed to protect confidentiality. Counts less than 6 are not provided. |
| Drug Use Disorder Estimate Description | oud_description | oud_description | Text | Describes number of estimated individuals with Drug Use Disorder. |
| Drug Use Disorder Estimate | oud_estimate | oud_estimate | Number | Estimated number of individuals with Drug Use Disorder. |
| Hepatitis C Count | hepatitis_c_count | hepatitis_c_count | Number | Number of unique individuals with newly diagnosed cases of Hepatitis C in given time frame. |
| Type of Rate | type_of_rate | type_of_rate | Text | Description of Hepatitis C rate. |
| Hepatitis C Rate | hepatitis_c_rate | hepatitis_c_rate | Number | Rate of individuals with newly diagnosed cases of Hepatitis C per 1,000 estimated individuals with Drug Use Disorder. |
| Time Period | time_period | time_period | Text | Period for measurement (annual, federal fiscal year, or quarterly, if available). |
| Gender | sex | sex | Text | Gender of individuals. |
| Geographic Name | geographic_name | geographic_name | Text | Name of County or Commonwealth for the State. |
| Georeferenced Latitude & Longitude | geo_2 | geo_2 | Point | A generic Latitudinal and Longitudinal point within the county. These points can be used to create visualizations such as maps to show the data by county. A point is also provided for outside of the state (on a map it will sit to the southeast of the state). This number represents the total number for the state and this location provides a spot on a map to display the PA number without having it duplicate within a county when using in a mapping visual. |
| County Fips Code | county_fips_code | county_fips_code | Text | The FIPS county code is a five-digit Federal Information Processing Standard (FIPS) code (FIPS 6-4) which uniquely identifies counties and county equivalents in the United States, certain U.S. possessions, and certain freely associated states. This is the 3-digit part of the 5-digit county FIPS code specifically standing for the county. |
| State FIPS Code | state_fips_code | state_fips_code | Text | These are the first 2 digits of the 5-digit Federal Information Processing Standard (FIPS) code that designate the State association. Each State has its own 2-digit number and each County within the state has its own 3-digit number which are combined into a 5-digit number to uniquely identify every US county. For more technical details : Federal Information Processing Standards Publications (FIPS PUBS) are issued by the National Institute of Standards and Technology (NIST) after approval by the Secretary of Commerce pursuant to Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. Federal Information Processing Standard (FIPS) 6-4, Counties and Equivalent Entities of the U.S., Its Possessions, and Associated Areas -- 90 Aug 31 , provides the names and codes that represent the counties and other entities treated as equivalent legal and/or statistical subdivisions of the 50 States, the District of Columbia, and the possessions and freely associated areas of the United States. Counties are considered to be the "first-order subdivisions" of each State and statistically equivalent entity, regardless of their local designations (county, parish, borough, etc.). Information gathered from census data - https://www.census.gov/geo/reference/codes/cou.html |
| County Code Text | county_code_text | county_code_text | Text | There are 67 counties in Pennsylvania. They are number 01 through 67 in alphabetical order; 00 identifies the statewides totals. This column has the codes formatted as text fields to integrate with other files where county codes are used in place of names and for easier coding within certain software. |
| County Code Number | county_code_number | county_code_number | Number | here are 67 counties in Pennsylvania. They are number 01 through 67 in alphabetical order; 00 identifies the statewide totals. |
| Hepatitis C Count Notes | hepatitis_c_count_notes | hepatitis_c_count_notes | Text | Indicates if the number of unique individuals with a newly diagnosed cases of Hepatitis C has been suppressed to protect confidentiality. Counts less than 6 are not provided. |
| Time Period Dates | time_period_dates | time_period_dates | Text | Start and end dates of time period. |
| Age | age | age | Text | Age of individuals (12-39 years). |
| US House Districts for PA 2019 | :@computed_region_3x3q_vpda | :@computed_region_3x3q_vpda | Number | This column was automatically created in order to record in what polygon from the dataset 'US House Districts for PA 2019' (3x3q-vpda) the point in column 'geo_2' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| Pa School Districts (2017) 2 | :@computed_region_rayf_jjgk | :@computed_region_rayf_jjgk | Number | This column was automatically created in order to record in what polygon from the dataset 'Pa School Districts (2017)' (rayf-jjgk) the point in column 'geo_2' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| Pa House Districts (2017-01) 2 | :@computed_region_r6rf_p9et | :@computed_region_r6rf_p9et | Number | This column was automatically created in order to record in what polygon from the dataset 'Pa House Districts (2017-01)' (r6rf-p9et) the point in column 'geo_2' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| Municipality Boundary 2 | :@computed_region_amqz_jbr4 | :@computed_region_amqz_jbr4 | Number | This column was automatically created in order to record in what polygon from the dataset 'Municipality Boundary' (amqz-jbr4) the point in column 'geo_2' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| Pa Senatorial Districts (2017-01) 2 | :@computed_region_d3gw_znnf | :@computed_region_d3gw_znnf | Number | This column was automatically created in order to record in what polygon from the dataset 'Pa Senatorial Districts (2017-01)' (d3gw-znnf) the point in column 'geo_2' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| Pennsylvania County Boundaries 2 | :@computed_region_nmsq_hqvv | :@computed_region_nmsq_hqvv | Number | This column was automatically created in order to record in what polygon from the dataset 'Pennsylvania County Boundaries' (nmsq-hqvv) the point in column 'geo_2' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens. |
| Hepatitis C Count Description | hepatitis_c_count_description | hepatitis_c_count_description | Text | Describes Hepatitis C Count. |
| Year | year | year | Text | Calendar year for measurement (January 1–December 31). |
| Geographic Area | geographic_area | geographic_area | Text | Region for measure, either total for Commonwealth or individual county. |
Upstream Metadata