- Population
The population count of Pittsburgh Metro Area (PA) was 2,339,941 in 2018.
Population
Population Change
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Demographics and Population Datasets Involving Pittsburgh Metro Area (PA)
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NYCHA Resident Data Book Summary
data.cityofnewyork.us | Last Updated 2020-02-08T00:56:30.000ZContains resident demographic data at a summary level as of January 1, 2019. The Resident Data Book is compiled to serve as an information source for queries involving resident demographic as well as a source of data for internal analysis. Statistics are compiled via HUD mandated annual income reviews involving NYCHA Staff and residents. Data is then aggregated and compiled by development. Each record pertains to a single public housing development.
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Bronx Zip Population and Density
bronx.lehman.cuny.edu | Last Updated 2012-10-21T14:06:17.000Z2010 Census Data on population, pop density, age and ethnicity per zip code
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New York State Population Data: Beginning 2003
health.data.ny.gov | Last Updated 2019-09-30T15:01:56.000ZPopulation data file is provided as an additional reference file when interpreting vital statistics death rates. The population data is derived from the corresponding release of the NCHS annual estimates of "Bridged Race Vintage" which are consistent with the Bureau of the Census estimates from "Vintage" (released in the summer). For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/. The "About" tab contains additional details concerning this dataset.
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Vital Statistics Deaths by Resident County, Region, and Race/Ethnicity: Beginning 2003
health.data.ny.gov | Last Updated 2019-09-30T13:15:09.000ZThis dataset contains death counts by resident county and race/ethnicity. For more information check out: http://www.health.ny.gov/statistics/vital_statistics.
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Vital Statistics Suicide Deaths by Age-Group, Race/Ethnicity, Resident County, Region and Gender: Beginning 2003
health.data.ny.gov | Last Updated 2019-09-30T15:52:19.000ZThis dataset contains suicide death counts by region, race or ethnicity, sex, and age group. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/.
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Rate of Hospitalizations for Opioid Overdose per 100,000 Residents by Demographics CY 2016- 2017 Statewide Health Care Cost Containment Council (PHC4)
data.pa.gov | Last Updated 2019-01-18T20:03:25.000ZRate of hospitalization for opioid overdose per 100,000 PA Residents categorized by principal diagnosis of heroin or opioid pain medication overdose by year and demographic. This analysis is restricted to Pennsylvania residents age 15 and older who were hospitalized in Pennsylvania general acute care hospitals. Disclaimer: PHC4’s database contains statewide hospital discharge data submitted to PHC4 by Pennsylvania hospitals. Every reasonable effort has been made to ensure the accuracy of the information obtained from the Uniform Claims and Billing Form (UB-82/92/04) data elements. Computer collection edits and validation edits provide opportunity to correct specific errors that may have occurred prior to, during or after submission of data. The ultimate responsibility for data accuracy lies with individual providers. PHC4 agents and staff make no representation, guarantee, or warranty, expressed or implied that the data received from the hospitals are error-free, or that the use of this data will prevent differences of opinion or disputes with those who use published reports or purchased data. PHC4 will bear no responsibility or liability for the results or consequences of its use.
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Census Demographics (2010-2014)
data.baltimorecity.gov | Last Updated 2017-02-06T04:55:23.000ZCensus data are frequently used throughout Vital Signs as denominators for normalizing many other indicators and rates. The socioeconomic and demographic indicators are grouped into the following categories: population, race/ethnicity, age, households, and income and poverty.
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Census Demographics 2010
data.baltimorecity.gov | Last Updated 2017-02-06T04:44:33.000ZBNIA-JFI analyzed data from the Census to provide greater understandingof the socioeconomic and demographic characteristics of the residents of the City and its neighborhoods . BNIA-JFI also used this data as denominators for many of the Vital Signs indicators allowing for data to be normalized and rates to be computed. Census data analyzed by BNIA-JFI is grouped into the following categories: population, race and ethnicity; households and families; and income.
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Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days
data.cdc.gov | Last Updated 2021-01-06T15:23:48.000ZThe U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions,
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Counts and Rates of New HIV Diagnoses Among Individuals Using Injection Drugs January 2016 - Current Monthly County & Statewide Health
data.pa.gov | Last Updated 2020-05-20T14:47:12.000ZThis 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.