Counts and Rates of New HIV Diagnoses Among Individuals Using Injection Drugs January 2016 - Current Monthly County & Statewide Health
data.pa.gov | Last Updated 19 Sep 2023This indicator includes the count and rate of new HIV diagnoses among individuals using injection drugs per 100,000 individuals estimated to have Drug Use Disorder.
This dataset has the following 22 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| Geographic Area | geographic_area | text | Region for measure, either total for Commonwealth or individual county. | County State view top 100 |
| Geographic Name | geographic_name | text | Name of geographic region. | Commonwealth Allegheny Armstrong Beaver Bedford view top 100 |
| Gender | gender | text | Gender of individuals. | All Female Male view top 100 |
| Age | age | text | Age of individuals (0 – 99 years). | All (0 to 99 years) 12 to 19 years 20 to 24 years 25 to 29 years 30 to 34 years view top 100 |
| Ethnicity | ethnicity | text | Ethnicity of individuals. | All Asian/Pacific Black/African American (non-Hispanic) Hispanic Multiple race view top 100 |
| Year | year | text | Calendar year for measurement (January 1–December 31). | 2016 2017 2018 2019 2020 view top 100 |
| Time Period | time_period | text | Period of measurement (annual, federal fiscal year, or quarterly, if available). | 2018 Q4 2019 Q4 2018 Q1 2019 Q2 2016 Q2 view top 100 |
| Time Period Dates | time_period_dates | text | Start and end dates of time period. | 10/1/2016-12/31/2016 10/1/2017-12/31/2017 10/1/2018-12/31/2018 10/1/2019-12/31/2019 10/1/2020-12/31/2020 view top 100 |
| HIV Incidence Rate | hiv_incidence_rate | number | Number of newly diagnosed cases of HIV per 100,000 individuals. | 0 2.18 2.71 1.8 4.94 view top 100 |
| HIV Incidence Rate Description | hiv_incidence_rate_description | text | Describes HIV Incidence Rate. | Rate of new HIV diagnoses among individuals using injection drugs per 100,000 estimated with Drug Use Disorder Rate of new HIV diagnoses per 100,000 individuals view top 100 |
| New HIV Diagnoses | newly_diagnosed_hiv_count | number | Number of newly diagnosed cases of HIV. | 0 1 2 3 4 view top 100 |
| New HIV Diagnoses Description | newly_diagnosed_hiv_count_1 | text | Describes Newly HIV Diagnoses. | New HIV diagnoses among individuals using injection drugs New HIV diagnoses view top 100 |
| Population Estimate | population_estimate | number | Estimated number of individuals residing in Pennsylvania. Population estimate is from US Census Bureau’s American Community Survey 5-year Estimates (when available), 1-year Estimates, or from Drug Use Disorder model. Source is noted in field. | 791 915 848 767 1047 view top 100 |
| Population Estimate Description | population_estimate_1 | text | Describes Pennsylvania Population Estimate. | Pennsylvania population estimate from Census Bureau's American Community Survey Number of unique individuals estimated with Drug Use Disorder view top 100 |
| Population Estimate Notes | population_estimate_notes | text | Indicates if the estimated number of individuals with Drug Use Disorder has been suppressed to protect confidentiality. Counts less than 11 are not provided. | Not displayed when total number of unique individuals estimated with Drug Use Disorder is less than 11 Population estimate not available for specified combination Not displayed when total number of individuals estimated is less than 11 view top 100 |
| County Code Number | county_code_number | number | Pennsylvania county code provided as a number (1-67 for counties, 0 for Commonwealth). | 0 1 2 3 4 view top 100 |
| County Code Text | county_code_text | text | Pennsylvania county code provided as text (01-67 for counties sorted alphabetically, 00 for Commonwealth). | 0 1 10 11 12 view top 100 |
| State FIPS Code | state_fips_code | text | 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. | 42 view top 100 |
| County FIPS Code | county_fips_code | text | Last 3 digits of the 5-digit Federal Information Processing Standard (FIPS) code that designate the county 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. | 0 1 101 103 105 view top 100 |
| Latitude | latitude_longitude | text | A generic Latitude point within the 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. | 39.346129 39.85480393 39.87209565 39.91657867 39.9194478 view top 100 |
| Longitude | longitude | text | A generic Longitude point within the 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. | -75.167756 -75.11291241 -75.140236 -75.3051535 -75.31263726 view top 100 |
| Georeferenced Latitude & Longitude | geocoded_column | point | Georeferenced column for use in creating mapping visualizations with both a generic latitude and longitude point within the 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. | {"coordinates":[-75.167756,39.346129],"type":"Point"} {"coordinates":[-78.34907687,40.48555024],"type":"Point"} {"coordinates":[-80.33754114,40.99325035],"type":"Point"} {"coordinates":[-80.26009411,41.30237777],"type":"Point"} {"coordinates":[-76.51825624,41.79117814],"type":"Point"} view top 100 |